2022/06/27 17:29:33 - mmengine - INFO - load model from: torchvision://resnet50 2022/06/27 17:29:36 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/06/27 17:29:38 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/i3d_r50_dense_32x2x1_100e_kinetics400_rgb by HardDiskBackend. 2022/06/27 17:30:07 - mmengine - INFO - Epoch(train) [1][20/3757] lr: 1.000e-02 eta: 6 days, 7:00:00 time: 0.195 data_time: 0.005 memory: 42354 grad_norm: 5.3429 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0782 loss: 6.0782 2022/06/27 17:30:11 - mmengine - INFO - Epoch(train) [1][40/3757] lr: 1.000e-02 eta: 3 days, 13:45:53 time: 0.198 data_time: 0.004 memory: 5151 grad_norm: 5.1510 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 6.0797 loss: 6.0797 2022/06/27 17:30:15 - mmengine - INFO - Epoch(train) [1][60/3757] lr: 1.000e-02 eta: 2 days, 16:07:26 time: 0.202 data_time: 0.008 memory: 5151 grad_norm: 5.2302 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9942 loss: 5.9942 2022/06/27 17:30:21 - mmengine - INFO - Epoch(train) [1][80/3757] lr: 1.000e-02 eta: 2 days, 8:01:30 time: 0.190 data_time: 0.009 memory: 5151 grad_norm: 5.5908 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.7317 loss: 5.7317 2022/06/27 17:30:26 - mmengine - INFO - Epoch(train) [1][100/3757] lr: 1.000e-02 eta: 2 days, 2:00:08 time: 0.191 data_time: 0.008 memory: 5151 grad_norm: 5.1564 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.5180 loss: 5.5180 2022/06/27 17:30:32 - mmengine - INFO - Epoch(train) [1][120/3757] lr: 1.000e-02 eta: 1 day, 22:29:41 time: 0.191 data_time: 0.008 memory: 5151 grad_norm: 5.6061 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.4424 loss: 5.4424 2022/06/27 17:30:37 - mmengine - INFO - Epoch(train) [1][140/3757] lr: 1.000e-02 eta: 1 day, 19:57:16 time: 0.189 data_time: 0.006 memory: 5151 grad_norm: 5.7560 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 5.3595 loss: 5.3595 2022/06/27 17:30:42 - mmengine - INFO - Epoch(train) [1][160/3757] lr: 1.000e-02 eta: 1 day, 17:43:02 time: 0.199 data_time: 0.005 memory: 5151 grad_norm: 5.5450 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3754 loss: 5.3754 2022/06/27 17:30:48 - mmengine - INFO - Epoch(train) [1][180/3757] lr: 1.000e-02 eta: 1 day, 16:33:50 time: 0.188 data_time: 0.010 memory: 5151 grad_norm: 5.6977 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.2779 loss: 5.2779 2022/06/27 17:30:54 - mmengine - INFO - Epoch(train) [1][200/3757] lr: 1.000e-02 eta: 1 day, 15:15:22 time: 0.198 data_time: 0.014 memory: 5151 grad_norm: 5.6704 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2507 loss: 5.2507 2022/06/27 17:30:58 - mmengine - INFO - Epoch(train) [1][220/3757] lr: 1.000e-02 eta: 1 day, 14:00:30 time: 0.199 data_time: 0.007 memory: 5151 grad_norm: 5.9101 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9663 loss: 4.9663 2022/06/27 17:31:04 - mmengine - INFO - Epoch(train) [1][240/3757] lr: 1.000e-02 eta: 1 day, 13:23:40 time: 0.196 data_time: 0.012 memory: 5151 grad_norm: 5.8079 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.2180 loss: 5.2180 2022/06/27 17:31:10 - mmengine - INFO - Epoch(train) [1][260/3757] lr: 1.000e-02 eta: 1 day, 12:36:17 time: 0.188 data_time: 0.006 memory: 5151 grad_norm: 5.9897 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.9739 loss: 4.9739 2022/06/27 17:31:14 - mmengine - INFO - Epoch(train) [1][280/3757] lr: 1.000e-02 eta: 1 day, 11:48:49 time: 0.185 data_time: 0.008 memory: 5151 grad_norm: 6.0244 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.9681 loss: 4.9681 2022/06/27 17:31:20 - mmengine - INFO - Epoch(train) [1][300/3757] lr: 1.000e-02 eta: 1 day, 11:18:56 time: 0.187 data_time: 0.005 memory: 5151 grad_norm: 5.6386 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.9872 loss: 4.9872 2022/06/27 17:31:25 - mmengine - INFO - Epoch(train) [1][320/3757] lr: 1.000e-02 eta: 1 day, 10:52:29 time: 0.196 data_time: 0.006 memory: 5151 grad_norm: 6.1093 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.9760 loss: 4.9760 2022/06/27 17:31:30 - mmengine - INFO - Epoch(train) [1][340/3757] lr: 1.000e-02 eta: 1 day, 10:24:10 time: 0.193 data_time: 0.006 memory: 5151 grad_norm: 6.4313 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.6439 loss: 4.6439 2022/06/27 17:31:36 - mmengine - INFO - Epoch(train) [1][360/3757] lr: 1.000e-02 eta: 1 day, 10:08:11 time: 0.197 data_time: 0.005 memory: 5151 grad_norm: 6.3361 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.8851 loss: 4.8851 2022/06/27 17:31:42 - mmengine - INFO - Epoch(train) [1][380/3757] lr: 1.000e-02 eta: 1 day, 9:52:59 time: 0.191 data_time: 0.005 memory: 5151 grad_norm: 6.5765 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.4069 loss: 4.4069 2022/06/27 17:31:47 - mmengine - INFO - Epoch(train) [1][400/3757] lr: 1.000e-02 eta: 1 day, 9:30:36 time: 0.200 data_time: 0.010 memory: 5151 grad_norm: 6.6024 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.8818 loss: 4.8818 2022/06/27 17:31:52 - mmengine - INFO - Epoch(train) [1][420/3757] lr: 1.000e-02 eta: 1 day, 9:13:01 time: 0.191 data_time: 0.007 memory: 5151 grad_norm: 6.1680 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6258 loss: 4.6258 2022/06/27 17:31:57 - mmengine - INFO - Epoch(train) [1][440/3757] lr: 1.000e-02 eta: 1 day, 8:56:06 time: 0.275 data_time: 0.005 memory: 5151 grad_norm: 6.2422 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.5685 loss: 4.5685 2022/06/27 17:32:03 - mmengine - INFO - Epoch(train) [1][460/3757] lr: 1.000e-02 eta: 1 day, 8:50:54 time: 0.202 data_time: 0.009 memory: 5151 grad_norm: 6.9144 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7298 loss: 4.7298 2022/06/27 17:32:08 - mmengine - INFO - Epoch(train) [1][480/3757] lr: 1.000e-02 eta: 1 day, 8:35:25 time: 0.197 data_time: 0.006 memory: 5151 grad_norm: 6.5681 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.6687 loss: 4.6687 2022/06/27 17:32:13 - mmengine - INFO - Epoch(train) [1][500/3757] lr: 1.000e-02 eta: 1 day, 8:19:33 time: 0.189 data_time: 0.005 memory: 5151 grad_norm: 6.6862 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5698 loss: 4.5698 2022/06/27 17:32:19 - mmengine - INFO - Epoch(train) [1][520/3757] lr: 1.000e-02 eta: 1 day, 8:11:01 time: 0.188 data_time: 0.008 memory: 5151 grad_norm: 6.4981 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5857 loss: 4.5857 2022/06/27 17:32:24 - mmengine - INFO - Epoch(train) [1][540/3757] lr: 1.000e-02 eta: 1 day, 8:04:16 time: 0.188 data_time: 0.006 memory: 5151 grad_norm: 6.5235 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.5602 loss: 4.5602 2022/06/27 17:32:29 - mmengine - INFO - Epoch(train) [1][560/3757] lr: 1.000e-02 eta: 1 day, 7:48:29 time: 0.210 data_time: 0.008 memory: 5151 grad_norm: 6.4579 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.7403 loss: 4.7403 2022/06/27 17:32:34 - mmengine - INFO - Epoch(train) [1][580/3757] lr: 1.000e-02 eta: 1 day, 7:37:37 time: 0.198 data_time: 0.006 memory: 5151 grad_norm: 6.4937 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6232 loss: 4.6232 2022/06/27 17:32:40 - mmengine - INFO - Epoch(train) [1][600/3757] lr: 1.000e-02 eta: 1 day, 7:35:35 time: 0.187 data_time: 0.009 memory: 5151 grad_norm: 6.7313 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6609 loss: 4.6609 2022/06/27 17:32:45 - mmengine - INFO - Epoch(train) [1][620/3757] lr: 1.000e-02 eta: 1 day, 7:20:32 time: 0.188 data_time: 0.005 memory: 5151 grad_norm: 6.6149 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2986 loss: 4.2986 2022/06/27 17:32:50 - mmengine - INFO - Epoch(train) [1][640/3757] lr: 1.000e-02 eta: 1 day, 7:12:53 time: 0.187 data_time: 0.006 memory: 5151 grad_norm: 6.6461 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.5736 loss: 4.5736 2022/06/27 17:32:56 - mmengine - INFO - Epoch(train) [1][660/3757] lr: 1.000e-02 eta: 1 day, 7:08:46 time: 0.196 data_time: 0.008 memory: 5151 grad_norm: 6.6126 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.3471 loss: 4.3471 2022/06/27 17:33:00 - mmengine - INFO - Epoch(train) [1][680/3757] lr: 1.000e-02 eta: 1 day, 6:54:56 time: 0.195 data_time: 0.005 memory: 5151 grad_norm: 6.6923 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 4.4196 loss: 4.4196 2022/06/27 17:33:06 - mmengine - INFO - Epoch(train) [1][700/3757] lr: 1.000e-02 eta: 1 day, 6:52:43 time: 0.193 data_time: 0.006 memory: 5151 grad_norm: 6.6087 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.6713 loss: 4.6713 2022/06/27 17:33:11 - mmengine - INFO - Epoch(train) [1][720/3757] lr: 1.000e-02 eta: 1 day, 6:47:40 time: 0.197 data_time: 0.006 memory: 5151 grad_norm: 6.6660 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2787 loss: 4.2787 2022/06/27 17:33:16 - mmengine - INFO - Epoch(train) [1][740/3757] lr: 1.000e-02 eta: 1 day, 6:37:23 time: 0.190 data_time: 0.014 memory: 5151 grad_norm: 6.2916 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.5097 loss: 4.5097 2022/06/27 17:33:21 - mmengine - INFO - Epoch(train) [1][760/3757] lr: 1.000e-02 eta: 1 day, 6:34:00 time: 0.189 data_time: 0.005 memory: 5151 grad_norm: 6.3722 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.3089 loss: 4.3089 2022/06/27 17:33:27 - mmengine - INFO - Epoch(train) [1][780/3757] lr: 1.000e-02 eta: 1 day, 6:35:30 time: 0.207 data_time: 0.005 memory: 5151 grad_norm: 6.6060 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.3899 loss: 4.3899 2022/06/27 17:33:32 - mmengine - INFO - Epoch(train) [1][800/3757] lr: 1.000e-02 eta: 1 day, 6:27:00 time: 0.192 data_time: 0.019 memory: 5151 grad_norm: 6.2333 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.4804 loss: 4.4804 2022/06/27 17:33:38 - mmengine - INFO - Epoch(train) [1][820/3757] lr: 1.000e-02 eta: 1 day, 6:23:08 time: 0.191 data_time: 0.008 memory: 5151 grad_norm: 6.4577 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.1237 loss: 4.1237 2022/06/27 17:33:43 - mmengine - INFO - Epoch(train) [1][840/3757] lr: 1.000e-02 eta: 1 day, 6:20:31 time: 0.189 data_time: 0.005 memory: 5151 grad_norm: 6.5902 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8990 loss: 3.8990 2022/06/27 17:33:48 - mmengine - INFO - Epoch(train) [1][860/3757] lr: 1.000e-02 eta: 1 day, 6:11:52 time: 0.186 data_time: 0.023 memory: 5151 grad_norm: 6.6656 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.3185 loss: 4.3185 2022/06/27 17:33:53 - mmengine - INFO - Epoch(train) [1][880/3757] lr: 1.000e-02 eta: 1 day, 6:05:29 time: 0.200 data_time: 0.008 memory: 5151 grad_norm: 6.9627 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.1721 loss: 4.1721 2022/06/27 17:33:58 - mmengine - INFO - Epoch(train) [1][900/3757] lr: 1.000e-02 eta: 1 day, 6:03:11 time: 0.191 data_time: 0.007 memory: 5151 grad_norm: 6.6114 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1390 loss: 4.1390 2022/06/27 17:34:03 - mmengine - INFO - Epoch(train) [1][920/3757] lr: 1.000e-02 eta: 1 day, 5:59:15 time: 0.189 data_time: 0.026 memory: 5151 grad_norm: 6.6342 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.2357 loss: 4.2357 2022/06/27 17:34:09 - mmengine - INFO - Epoch(train) [1][940/3757] lr: 1.000e-02 eta: 1 day, 5:55:56 time: 0.197 data_time: 0.006 memory: 5151 grad_norm: 6.5341 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 4.4092 loss: 4.4092 2022/06/27 17:34:14 - mmengine - INFO - Epoch(train) [1][960/3757] lr: 1.000e-02 eta: 1 day, 5:53:36 time: 0.189 data_time: 0.006 memory: 5151 grad_norm: 6.5713 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.0281 loss: 4.0281 2022/06/27 17:34:19 - mmengine - INFO - Epoch(train) [1][980/3757] lr: 1.000e-02 eta: 1 day, 5:50:45 time: 0.195 data_time: 0.024 memory: 5151 grad_norm: 5.9747 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2621 loss: 4.2621 2022/06/27 17:34:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 17:34:25 - mmengine - INFO - Epoch(train) [1][1000/3757] lr: 1.000e-02 eta: 1 day, 5:50:05 time: 0.190 data_time: 0.007 memory: 5151 grad_norm: 6.3000 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.6266 loss: 4.6266 2022/06/27 17:34:30 - mmengine - INFO - Epoch(train) [1][1020/3757] lr: 1.000e-02 eta: 1 day, 5:43:42 time: 0.194 data_time: 0.006 memory: 5151 grad_norm: 6.9040 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.4735 loss: 4.4735 2022/06/27 17:34:35 - mmengine - INFO - Epoch(train) [1][1040/3757] lr: 1.000e-02 eta: 1 day, 5:41:27 time: 0.201 data_time: 0.018 memory: 5151 grad_norm: 6.2212 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.1837 loss: 4.1837 2022/06/27 17:34:40 - mmengine - INFO - Epoch(train) [1][1060/3757] lr: 1.000e-02 eta: 1 day, 5:38:05 time: 0.187 data_time: 0.008 memory: 5151 grad_norm: 6.6951 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.9422 loss: 3.9422 2022/06/27 17:34:46 - mmengine - INFO - Epoch(train) [1][1080/3757] lr: 1.000e-02 eta: 1 day, 5:37:01 time: 0.194 data_time: 0.007 memory: 5151 grad_norm: 6.4692 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.3334 loss: 4.3334 2022/06/27 17:34:51 - mmengine - INFO - Epoch(train) [1][1100/3757] lr: 1.000e-02 eta: 1 day, 5:35:11 time: 0.192 data_time: 0.023 memory: 5151 grad_norm: 6.5642 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1405 loss: 4.1405 2022/06/27 17:34:57 - mmengine - INFO - Epoch(train) [1][1120/3757] lr: 1.000e-02 eta: 1 day, 5:34:19 time: 0.195 data_time: 0.006 memory: 5151 grad_norm: 7.0770 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.2189 loss: 4.2189 2022/06/27 17:35:01 - mmengine - INFO - Epoch(train) [1][1140/3757] lr: 1.000e-02 eta: 1 day, 5:28:36 time: 0.196 data_time: 0.006 memory: 5151 grad_norm: 7.3665 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0396 loss: 4.0396 2022/06/27 17:35:07 - mmengine - INFO - Epoch(train) [1][1160/3757] lr: 1.000e-02 eta: 1 day, 5:28:47 time: 0.199 data_time: 0.014 memory: 5151 grad_norm: 6.4100 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 4.1397 loss: 4.1397 2022/06/27 17:35:12 - mmengine - INFO - Epoch(train) [1][1180/3757] lr: 1.000e-02 eta: 1 day, 5:27:08 time: 0.199 data_time: 0.008 memory: 5151 grad_norm: 6.4393 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 4.0382 loss: 4.0382 2022/06/27 17:35:17 - mmengine - INFO - Epoch(train) [1][1200/3757] lr: 1.000e-02 eta: 1 day, 5:22:03 time: 0.192 data_time: 0.009 memory: 5151 grad_norm: 6.6853 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.1076 loss: 4.1076 2022/06/27 17:35:23 - mmengine - INFO - Epoch(train) [1][1220/3757] lr: 1.000e-02 eta: 1 day, 5:22:41 time: 0.214 data_time: 0.008 memory: 5151 grad_norm: 6.8659 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.6326 loss: 4.6326 2022/06/27 17:35:29 - mmengine - INFO - Epoch(train) [1][1240/3757] lr: 1.000e-02 eta: 1 day, 5:23:09 time: 0.195 data_time: 0.006 memory: 5151 grad_norm: 6.5598 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0635 loss: 4.0635 2022/06/27 17:35:34 - mmengine - INFO - Epoch(train) [1][1260/3757] lr: 1.000e-02 eta: 1 day, 5:20:10 time: 0.192 data_time: 0.009 memory: 5151 grad_norm: 7.0737 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.0827 loss: 4.0827 2022/06/27 17:35:39 - mmengine - INFO - Epoch(train) [1][1280/3757] lr: 1.000e-02 eta: 1 day, 5:17:07 time: 0.189 data_time: 0.007 memory: 5151 grad_norm: 6.3557 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.7888 loss: 3.7888 2022/06/27 17:35:44 - mmengine - INFO - Epoch(train) [1][1300/3757] lr: 1.000e-02 eta: 1 day, 5:14:19 time: 0.195 data_time: 0.008 memory: 5151 grad_norm: 6.7041 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6924 loss: 3.6924 2022/06/27 17:35:49 - mmengine - INFO - Epoch(train) [1][1320/3757] lr: 1.000e-02 eta: 1 day, 5:10:43 time: 0.192 data_time: 0.008 memory: 5151 grad_norm: 6.5495 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.8870 loss: 3.8870 2022/06/27 17:35:54 - mmengine - INFO - Epoch(train) [1][1340/3757] lr: 1.000e-02 eta: 1 day, 5:07:54 time: 0.253 data_time: 0.009 memory: 5151 grad_norm: 6.4309 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.8579 loss: 3.8579 2022/06/27 17:35:59 - mmengine - INFO - Epoch(train) [1][1360/3757] lr: 1.000e-02 eta: 1 day, 5:06:35 time: 0.199 data_time: 0.008 memory: 5151 grad_norm: 6.3679 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.2232 loss: 4.2232 2022/06/27 17:36:04 - mmengine - INFO - Epoch(train) [1][1380/3757] lr: 1.000e-02 eta: 1 day, 5:04:56 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 6.5101 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 4.1466 loss: 4.1466 2022/06/27 17:36:10 - mmengine - INFO - Epoch(train) [1][1400/3757] lr: 1.000e-02 eta: 1 day, 5:06:35 time: 1.069 data_time: 0.021 memory: 5151 grad_norm: 6.2738 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8472 loss: 3.8472 2022/06/27 17:36:15 - mmengine - INFO - Epoch(train) [1][1420/3757] lr: 1.000e-02 eta: 1 day, 5:02:46 time: 0.190 data_time: 0.005 memory: 5151 grad_norm: 6.3481 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.2232 loss: 4.2232 2022/06/27 17:36:21 - mmengine - INFO - Epoch(train) [1][1440/3757] lr: 1.000e-02 eta: 1 day, 5:03:11 time: 0.195 data_time: 0.008 memory: 5151 grad_norm: 6.2662 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4421 loss: 3.4421 2022/06/27 17:36:26 - mmengine - INFO - Epoch(train) [1][1460/3757] lr: 1.000e-02 eta: 1 day, 5:03:48 time: 1.149 data_time: 0.009 memory: 5151 grad_norm: 6.9286 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.1840 loss: 4.1840 2022/06/27 17:36:31 - mmengine - INFO - Epoch(train) [1][1480/3757] lr: 1.000e-02 eta: 1 day, 5:00:33 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 6.4566 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6844 loss: 3.6844 2022/06/27 17:36:37 - mmengine - INFO - Epoch(train) [1][1500/3757] lr: 1.000e-02 eta: 1 day, 4:59:16 time: 0.197 data_time: 0.008 memory: 5151 grad_norm: 5.9413 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4691 loss: 3.4691 2022/06/27 17:36:42 - mmengine - INFO - Epoch(train) [1][1520/3757] lr: 1.000e-02 eta: 1 day, 4:57:51 time: 0.814 data_time: 0.008 memory: 5151 grad_norm: 6.6710 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.4142 loss: 4.4142 2022/06/27 17:36:46 - mmengine - INFO - Epoch(train) [1][1540/3757] lr: 1.000e-02 eta: 1 day, 4:51:57 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 6.6962 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9919 loss: 3.9919 2022/06/27 17:36:52 - mmengine - INFO - Epoch(train) [1][1560/3757] lr: 1.000e-02 eta: 1 day, 4:55:22 time: 0.198 data_time: 0.006 memory: 5151 grad_norm: 5.9498 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 4.2052 loss: 4.2052 2022/06/27 17:36:58 - mmengine - INFO - Epoch(train) [1][1580/3757] lr: 1.000e-02 eta: 1 day, 4:53:15 time: 0.834 data_time: 0.008 memory: 5151 grad_norm: 7.1602 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.0253 loss: 4.0253 2022/06/27 17:37:02 - mmengine - INFO - Epoch(train) [1][1600/3757] lr: 1.000e-02 eta: 1 day, 4:49:15 time: 0.202 data_time: 0.005 memory: 5151 grad_norm: 6.5414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3387 loss: 3.3387 2022/06/27 17:37:08 - mmengine - INFO - Epoch(train) [1][1620/3757] lr: 1.000e-02 eta: 1 day, 4:48:46 time: 0.191 data_time: 0.006 memory: 5151 grad_norm: 6.1801 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.8229 loss: 3.8229 2022/06/27 17:37:13 - mmengine - INFO - Epoch(train) [1][1640/3757] lr: 1.000e-02 eta: 1 day, 4:47:37 time: 0.416 data_time: 0.006 memory: 5151 grad_norm: 7.3272 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.2770 loss: 4.2770 2022/06/27 17:37:18 - mmengine - INFO - Epoch(train) [1][1660/3757] lr: 1.000e-02 eta: 1 day, 4:44:56 time: 0.190 data_time: 0.014 memory: 5151 grad_norm: 6.8414 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7494 loss: 3.7494 2022/06/27 17:37:24 - mmengine - INFO - Epoch(train) [1][1680/3757] lr: 1.000e-02 eta: 1 day, 4:46:29 time: 0.189 data_time: 0.006 memory: 5151 grad_norm: 6.5085 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0636 loss: 4.0636 2022/06/27 17:37:29 - mmengine - INFO - Epoch(train) [1][1700/3757] lr: 1.000e-02 eta: 1 day, 4:44:56 time: 0.294 data_time: 0.006 memory: 5151 grad_norm: 7.0800 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0676 loss: 4.0676 2022/06/27 17:37:34 - mmengine - INFO - Epoch(train) [1][1720/3757] lr: 1.000e-02 eta: 1 day, 4:43:27 time: 0.194 data_time: 0.006 memory: 5151 grad_norm: 6.3792 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.7893 loss: 3.7893 2022/06/27 17:37:40 - mmengine - INFO - Epoch(train) [1][1740/3757] lr: 1.000e-02 eta: 1 day, 4:43:43 time: 0.198 data_time: 0.006 memory: 5151 grad_norm: 6.6786 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5219 loss: 3.5219 2022/06/27 17:37:45 - mmengine - INFO - Epoch(train) [1][1760/3757] lr: 1.000e-02 eta: 1 day, 4:42:00 time: 0.188 data_time: 0.006 memory: 5151 grad_norm: 6.3505 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7578 loss: 3.7578 2022/06/27 17:37:50 - mmengine - INFO - Epoch(train) [1][1780/3757] lr: 1.000e-02 eta: 1 day, 4:40:04 time: 0.192 data_time: 0.005 memory: 5151 grad_norm: 6.3740 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.5984 loss: 3.5984 2022/06/27 17:37:55 - mmengine - INFO - Epoch(train) [1][1800/3757] lr: 1.000e-02 eta: 1 day, 4:39:14 time: 0.197 data_time: 0.008 memory: 5151 grad_norm: 6.5778 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.8437 loss: 3.8437 2022/06/27 17:38:00 - mmengine - INFO - Epoch(train) [1][1820/3757] lr: 1.000e-02 eta: 1 day, 4:38:33 time: 0.193 data_time: 0.007 memory: 5151 grad_norm: 6.0747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 4.0234 loss: 4.0234 2022/06/27 17:38:05 - mmengine - INFO - Epoch(train) [1][1840/3757] lr: 1.000e-02 eta: 1 day, 4:36:17 time: 0.195 data_time: 0.011 memory: 5151 grad_norm: 6.9775 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8884 loss: 3.8884 2022/06/27 17:38:11 - mmengine - INFO - Epoch(train) [1][1860/3757] lr: 1.000e-02 eta: 1 day, 4:36:07 time: 0.194 data_time: 0.006 memory: 5151 grad_norm: 6.1681 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8823 loss: 3.8823 2022/06/27 17:38:16 - mmengine - INFO - Epoch(train) [1][1880/3757] lr: 1.000e-02 eta: 1 day, 4:34:48 time: 0.194 data_time: 0.016 memory: 5151 grad_norm: 6.6046 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7591 loss: 3.7591 2022/06/27 17:38:21 - mmengine - INFO - Epoch(train) [1][1900/3757] lr: 1.000e-02 eta: 1 day, 4:33:13 time: 0.195 data_time: 0.015 memory: 5151 grad_norm: 6.5052 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 4.0512 loss: 4.0512 2022/06/27 17:38:27 - mmengine - INFO - Epoch(train) [1][1920/3757] lr: 1.000e-02 eta: 1 day, 4:35:08 time: 0.191 data_time: 0.006 memory: 5151 grad_norm: 6.5789 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4818 loss: 3.4818 2022/06/27 17:38:32 - mmengine - INFO - Epoch(train) [1][1940/3757] lr: 1.000e-02 eta: 1 day, 4:34:01 time: 0.200 data_time: 0.006 memory: 5151 grad_norm: 6.5838 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7672 loss: 3.7672 2022/06/27 17:38:37 - mmengine - INFO - Epoch(train) [1][1960/3757] lr: 1.000e-02 eta: 1 day, 4:31:11 time: 0.207 data_time: 0.011 memory: 5151 grad_norm: 6.5237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5443 loss: 3.5443 2022/06/27 17:38:42 - mmengine - INFO - Epoch(train) [1][1980/3757] lr: 1.000e-02 eta: 1 day, 4:31:40 time: 0.194 data_time: 0.006 memory: 5151 grad_norm: 6.4817 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.8376 loss: 3.8376 2022/06/27 17:38:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 17:38:48 - mmengine - INFO - Epoch(train) [1][2000/3757] lr: 1.000e-02 eta: 1 day, 4:31:06 time: 0.210 data_time: 0.006 memory: 5151 grad_norm: 6.4774 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.7235 loss: 3.7235 2022/06/27 17:38:52 - mmengine - INFO - Epoch(train) [1][2020/3757] lr: 1.000e-02 eta: 1 day, 4:28:03 time: 0.191 data_time: 0.008 memory: 5151 grad_norm: 6.4606 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8710 loss: 3.8710 2022/06/27 17:38:58 - mmengine - INFO - Epoch(train) [1][2040/3757] lr: 1.000e-02 eta: 1 day, 4:27:45 time: 0.187 data_time: 0.006 memory: 5151 grad_norm: 6.9550 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.6695 loss: 3.6695 2022/06/27 17:39:03 - mmengine - INFO - Epoch(train) [1][2060/3757] lr: 1.000e-02 eta: 1 day, 4:26:42 time: 0.192 data_time: 0.017 memory: 5151 grad_norm: 6.4857 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5236 loss: 3.5236 2022/06/27 17:39:08 - mmengine - INFO - Epoch(train) [1][2080/3757] lr: 1.000e-02 eta: 1 day, 4:25:10 time: 0.194 data_time: 0.011 memory: 5151 grad_norm: 6.5274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.6956 loss: 3.6956 2022/06/27 17:39:13 - mmengine - INFO - Epoch(train) [1][2100/3757] lr: 1.000e-02 eta: 1 day, 4:25:01 time: 0.198 data_time: 0.005 memory: 5151 grad_norm: 6.6709 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 4.1703 loss: 4.1703 2022/06/27 17:39:19 - mmengine - INFO - Epoch(train) [1][2120/3757] lr: 1.000e-02 eta: 1 day, 4:24:01 time: 0.196 data_time: 0.008 memory: 5151 grad_norm: 6.3032 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7428 loss: 3.7428 2022/06/27 17:39:24 - mmengine - INFO - Epoch(train) [1][2140/3757] lr: 1.000e-02 eta: 1 day, 4:23:18 time: 0.196 data_time: 0.006 memory: 5151 grad_norm: 6.1351 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.6708 loss: 3.6708 2022/06/27 17:39:29 - mmengine - INFO - Epoch(train) [1][2160/3757] lr: 1.000e-02 eta: 1 day, 4:23:41 time: 0.187 data_time: 0.005 memory: 5151 grad_norm: 6.2963 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5142 loss: 3.5142 2022/06/27 17:39:35 - mmengine - INFO - Epoch(train) [1][2180/3757] lr: 1.000e-02 eta: 1 day, 4:24:07 time: 0.195 data_time: 0.021 memory: 5151 grad_norm: 7.1835 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4169 loss: 3.4169 2022/06/27 17:39:40 - mmengine - INFO - Epoch(train) [1][2200/3757] lr: 1.000e-02 eta: 1 day, 4:22:08 time: 0.202 data_time: 0.006 memory: 5151 grad_norm: 6.6121 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1262 loss: 4.1262 2022/06/27 17:39:45 - mmengine - INFO - Epoch(train) [1][2220/3757] lr: 1.000e-02 eta: 1 day, 4:21:40 time: 0.196 data_time: 0.006 memory: 5151 grad_norm: 6.1794 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9504 loss: 3.9504 2022/06/27 17:39:51 - mmengine - INFO - Epoch(train) [1][2240/3757] lr: 1.000e-02 eta: 1 day, 4:21:10 time: 0.194 data_time: 0.021 memory: 5151 grad_norm: 7.3151 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4853 loss: 3.4853 2022/06/27 17:39:56 - mmengine - INFO - Epoch(train) [1][2260/3757] lr: 1.000e-02 eta: 1 day, 4:20:07 time: 0.491 data_time: 0.011 memory: 5151 grad_norm: 6.4462 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9578 loss: 3.9578 2022/06/27 17:40:01 - mmengine - INFO - Epoch(train) [1][2280/3757] lr: 1.000e-02 eta: 1 day, 4:19:08 time: 0.199 data_time: 0.007 memory: 5151 grad_norm: 6.4585 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6999 loss: 3.6999 2022/06/27 17:40:07 - mmengine - INFO - Epoch(train) [1][2300/3757] lr: 1.000e-02 eta: 1 day, 4:20:11 time: 0.211 data_time: 0.032 memory: 5151 grad_norm: 6.6517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5960 loss: 3.5960 2022/06/27 17:40:11 - mmengine - INFO - Epoch(train) [1][2320/3757] lr: 1.000e-02 eta: 1 day, 4:18:11 time: 0.200 data_time: 0.016 memory: 5151 grad_norm: 5.9606 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9864 loss: 3.9864 2022/06/27 17:40:17 - mmengine - INFO - Epoch(train) [1][2340/3757] lr: 1.000e-02 eta: 1 day, 4:18:58 time: 0.555 data_time: 0.007 memory: 5151 grad_norm: 6.2622 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5760 loss: 3.5760 2022/06/27 17:40:23 - mmengine - INFO - Epoch(train) [1][2360/3757] lr: 1.000e-02 eta: 1 day, 4:18:27 time: 0.198 data_time: 0.025 memory: 5151 grad_norm: 6.6893 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6238 loss: 3.6238 2022/06/27 17:40:28 - mmengine - INFO - Epoch(train) [1][2380/3757] lr: 1.000e-02 eta: 1 day, 4:17:25 time: 0.201 data_time: 0.019 memory: 5151 grad_norm: 6.6293 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7014 loss: 3.7014 2022/06/27 17:40:33 - mmengine - INFO - Epoch(train) [1][2400/3757] lr: 1.000e-02 eta: 1 day, 4:17:51 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 6.7698 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.6042 loss: 3.6042 2022/06/27 17:40:38 - mmengine - INFO - Epoch(train) [1][2420/3757] lr: 1.000e-02 eta: 1 day, 4:17:10 time: 0.204 data_time: 0.033 memory: 5151 grad_norm: 6.0216 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1599 loss: 3.1599 2022/06/27 17:40:44 - mmengine - INFO - Epoch(train) [1][2440/3757] lr: 1.000e-02 eta: 1 day, 4:16:09 time: 0.199 data_time: 0.019 memory: 5151 grad_norm: 6.3414 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.7043 loss: 3.7043 2022/06/27 17:40:49 - mmengine - INFO - Epoch(train) [1][2460/3757] lr: 1.000e-02 eta: 1 day, 4:15:33 time: 0.192 data_time: 0.006 memory: 5151 grad_norm: 6.3597 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.9233 loss: 3.9233 2022/06/27 17:40:54 - mmengine - INFO - Epoch(train) [1][2480/3757] lr: 1.000e-02 eta: 1 day, 4:14:57 time: 0.193 data_time: 0.019 memory: 5151 grad_norm: 6.3264 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5590 loss: 3.5590 2022/06/27 17:40:59 - mmengine - INFO - Epoch(train) [1][2500/3757] lr: 1.000e-02 eta: 1 day, 4:14:42 time: 0.190 data_time: 0.009 memory: 5151 grad_norm: 6.8963 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7865 loss: 3.7865 2022/06/27 17:41:05 - mmengine - INFO - Epoch(train) [1][2520/3757] lr: 1.000e-02 eta: 1 day, 4:13:46 time: 0.196 data_time: 0.005 memory: 5151 grad_norm: 6.8392 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.5725 loss: 3.5725 2022/06/27 17:41:10 - mmengine - INFO - Epoch(train) [1][2540/3757] lr: 1.000e-02 eta: 1 day, 4:14:15 time: 0.193 data_time: 0.009 memory: 5151 grad_norm: 6.5912 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3199 loss: 3.3199 2022/06/27 17:41:15 - mmengine - INFO - Epoch(train) [1][2560/3757] lr: 1.000e-02 eta: 1 day, 4:13:17 time: 0.200 data_time: 0.013 memory: 5151 grad_norm: 6.5293 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8240 loss: 3.8240 2022/06/27 17:41:20 - mmengine - INFO - Epoch(train) [1][2580/3757] lr: 1.000e-02 eta: 1 day, 4:10:53 time: 0.193 data_time: 0.005 memory: 5151 grad_norm: 6.1860 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.0784 loss: 4.0784 2022/06/27 17:41:26 - mmengine - INFO - Epoch(train) [1][2600/3757] lr: 1.000e-02 eta: 1 day, 4:12:11 time: 0.192 data_time: 0.009 memory: 5151 grad_norm: 6.6478 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4165 loss: 3.4165 2022/06/27 17:41:31 - mmengine - INFO - Epoch(train) [1][2620/3757] lr: 1.000e-02 eta: 1 day, 4:11:41 time: 0.193 data_time: 0.005 memory: 5151 grad_norm: 6.5678 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5404 loss: 3.5404 2022/06/27 17:41:36 - mmengine - INFO - Epoch(train) [1][2640/3757] lr: 1.000e-02 eta: 1 day, 4:09:08 time: 0.188 data_time: 0.006 memory: 5151 grad_norm: 7.2568 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4115 loss: 3.4115 2022/06/27 17:41:41 - mmengine - INFO - Epoch(train) [1][2660/3757] lr: 1.000e-02 eta: 1 day, 4:10:04 time: 0.205 data_time: 0.005 memory: 5151 grad_norm: 7.0578 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5973 loss: 3.5973 2022/06/27 17:41:47 - mmengine - INFO - Epoch(train) [1][2680/3757] lr: 1.000e-02 eta: 1 day, 4:10:34 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 6.5112 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1771 loss: 3.1771 2022/06/27 17:41:52 - mmengine - INFO - Epoch(train) [1][2700/3757] lr: 1.000e-02 eta: 1 day, 4:08:54 time: 0.197 data_time: 0.008 memory: 5151 grad_norm: 6.3203 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3567 loss: 3.3567 2022/06/27 17:41:58 - mmengine - INFO - Epoch(train) [1][2720/3757] lr: 1.000e-02 eta: 1 day, 4:09:40 time: 0.197 data_time: 0.014 memory: 5151 grad_norm: 6.4675 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 4.0840 loss: 4.0840 2022/06/27 17:42:02 - mmengine - INFO - Epoch(train) [1][2740/3757] lr: 1.000e-02 eta: 1 day, 4:08:01 time: 0.192 data_time: 0.009 memory: 5151 grad_norm: 6.4897 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4630 loss: 3.4630 2022/06/27 17:42:07 - mmengine - INFO - Epoch(train) [1][2760/3757] lr: 1.000e-02 eta: 1 day, 4:06:43 time: 0.198 data_time: 0.012 memory: 5151 grad_norm: 6.7130 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8302 loss: 3.8302 2022/06/27 17:42:13 - mmengine - INFO - Epoch(train) [1][2780/3757] lr: 1.000e-02 eta: 1 day, 4:07:38 time: 0.208 data_time: 0.006 memory: 5151 grad_norm: 6.6653 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.6490 loss: 3.6490 2022/06/27 17:42:18 - mmengine - INFO - Epoch(train) [1][2800/3757] lr: 1.000e-02 eta: 1 day, 4:06:34 time: 0.201 data_time: 0.018 memory: 5151 grad_norm: 7.1073 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9070 loss: 3.9070 2022/06/27 17:42:23 - mmengine - INFO - Epoch(train) [1][2820/3757] lr: 1.000e-02 eta: 1 day, 4:04:55 time: 0.196 data_time: 0.006 memory: 5151 grad_norm: 6.5370 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7376 loss: 3.7376 2022/06/27 17:42:28 - mmengine - INFO - Epoch(train) [1][2840/3757] lr: 1.000e-02 eta: 1 day, 4:04:39 time: 0.202 data_time: 0.014 memory: 5151 grad_norm: 6.6312 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8476 loss: 3.8476 2022/06/27 17:42:34 - mmengine - INFO - Epoch(train) [1][2860/3757] lr: 1.000e-02 eta: 1 day, 4:05:28 time: 0.208 data_time: 0.041 memory: 5151 grad_norm: 6.3728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6857 loss: 3.6857 2022/06/27 17:42:39 - mmengine - INFO - Epoch(train) [1][2880/3757] lr: 1.000e-02 eta: 1 day, 4:03:46 time: 0.213 data_time: 0.009 memory: 5151 grad_norm: 6.5080 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6836 loss: 3.6836 2022/06/27 17:42:44 - mmengine - INFO - Epoch(train) [1][2900/3757] lr: 1.000e-02 eta: 1 day, 4:03:31 time: 0.194 data_time: 0.007 memory: 5151 grad_norm: 6.4606 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5351 loss: 3.5351 2022/06/27 17:42:50 - mmengine - INFO - Epoch(train) [1][2920/3757] lr: 1.000e-02 eta: 1 day, 4:03:28 time: 0.189 data_time: 0.005 memory: 5151 grad_norm: 6.1603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2071 loss: 3.2071 2022/06/27 17:42:54 - mmengine - INFO - Epoch(train) [1][2940/3757] lr: 1.000e-02 eta: 1 day, 4:02:24 time: 0.204 data_time: 0.005 memory: 5151 grad_norm: 6.2507 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5381 loss: 3.5381 2022/06/27 17:43:00 - mmengine - INFO - Epoch(train) [1][2960/3757] lr: 1.000e-02 eta: 1 day, 4:02:06 time: 0.193 data_time: 0.010 memory: 5151 grad_norm: 6.4475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.5298 loss: 3.5298 2022/06/27 17:43:06 - mmengine - INFO - Epoch(train) [1][2980/3757] lr: 1.000e-02 eta: 1 day, 4:02:52 time: 0.196 data_time: 0.005 memory: 5151 grad_norm: 6.2961 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.0430 loss: 4.0430 2022/06/27 17:43:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 17:43:10 - mmengine - INFO - Epoch(train) [1][3000/3757] lr: 1.000e-02 eta: 1 day, 4:00:56 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 6.3247 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4918 loss: 3.4918 2022/06/27 17:43:15 - mmengine - INFO - Epoch(train) [1][3020/3757] lr: 1.000e-02 eta: 1 day, 4:00:35 time: 0.189 data_time: 0.011 memory: 5151 grad_norm: 6.4548 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.6177 loss: 3.6177 2022/06/27 17:43:22 - mmengine - INFO - Epoch(train) [1][3040/3757] lr: 1.000e-02 eta: 1 day, 4:01:58 time: 0.259 data_time: 0.006 memory: 5151 grad_norm: 6.5346 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5478 loss: 3.5478 2022/06/27 17:43:26 - mmengine - INFO - Epoch(train) [1][3060/3757] lr: 1.000e-02 eta: 1 day, 4:00:09 time: 0.209 data_time: 0.006 memory: 5151 grad_norm: 6.6285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.7683 loss: 3.7683 2022/06/27 17:43:32 - mmengine - INFO - Epoch(train) [1][3080/3757] lr: 1.000e-02 eta: 1 day, 4:00:20 time: 0.196 data_time: 0.009 memory: 5151 grad_norm: 6.2260 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.5445 loss: 3.5445 2022/06/27 17:43:37 - mmengine - INFO - Epoch(train) [1][3100/3757] lr: 1.000e-02 eta: 1 day, 4:00:26 time: 0.194 data_time: 0.009 memory: 5151 grad_norm: 5.8003 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.9073 loss: 3.9073 2022/06/27 17:43:42 - mmengine - INFO - Epoch(train) [1][3120/3757] lr: 1.000e-02 eta: 1 day, 3:59:21 time: 0.190 data_time: 0.005 memory: 5151 grad_norm: 6.0366 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.4960 loss: 3.4960 2022/06/27 17:43:48 - mmengine - INFO - Epoch(train) [1][3140/3757] lr: 1.000e-02 eta: 1 day, 3:59:29 time: 0.212 data_time: 0.044 memory: 5151 grad_norm: 6.3934 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1825 loss: 3.1825 2022/06/27 17:43:53 - mmengine - INFO - Epoch(train) [1][3160/3757] lr: 1.000e-02 eta: 1 day, 3:59:59 time: 0.189 data_time: 0.011 memory: 5151 grad_norm: 6.4195 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.5748 loss: 3.5748 2022/06/27 17:43:57 - mmengine - INFO - Epoch(train) [1][3180/3757] lr: 1.000e-02 eta: 1 day, 3:57:12 time: 0.197 data_time: 0.005 memory: 5151 grad_norm: 6.5354 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6785 loss: 3.6785 2022/06/27 17:44:03 - mmengine - INFO - Epoch(train) [1][3200/3757] lr: 1.000e-02 eta: 1 day, 3:56:37 time: 0.203 data_time: 0.008 memory: 5151 grad_norm: 6.2870 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.8359 loss: 3.8359 2022/06/27 17:44:08 - mmengine - INFO - Epoch(train) [1][3220/3757] lr: 1.000e-02 eta: 1 day, 3:57:28 time: 0.200 data_time: 0.005 memory: 5151 grad_norm: 5.8649 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3680 loss: 3.3680 2022/06/27 17:44:13 - mmengine - INFO - Epoch(train) [1][3240/3757] lr: 1.000e-02 eta: 1 day, 3:55:46 time: 0.192 data_time: 0.009 memory: 5151 grad_norm: 6.4056 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 4.0024 loss: 4.0024 2022/06/27 17:44:19 - mmengine - INFO - Epoch(train) [1][3260/3757] lr: 1.000e-02 eta: 1 day, 3:55:56 time: 0.202 data_time: 0.012 memory: 5151 grad_norm: 6.6737 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2101 loss: 3.2101 2022/06/27 17:44:24 - mmengine - INFO - Epoch(train) [1][3280/3757] lr: 1.000e-02 eta: 1 day, 3:56:04 time: 0.192 data_time: 0.023 memory: 5151 grad_norm: 6.6760 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2626 loss: 3.2626 2022/06/27 17:44:29 - mmengine - INFO - Epoch(train) [1][3300/3757] lr: 1.000e-02 eta: 1 day, 3:55:04 time: 0.203 data_time: 0.005 memory: 5151 grad_norm: 6.8541 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.3899 loss: 3.3899 2022/06/27 17:44:35 - mmengine - INFO - Epoch(train) [1][3320/3757] lr: 1.000e-02 eta: 1 day, 3:55:24 time: 0.188 data_time: 0.006 memory: 5151 grad_norm: 6.6786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.5788 loss: 3.5788 2022/06/27 17:44:40 - mmengine - INFO - Epoch(train) [1][3340/3757] lr: 1.000e-02 eta: 1 day, 3:54:58 time: 0.202 data_time: 0.025 memory: 5151 grad_norm: 6.6236 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.9981 loss: 3.9981 2022/06/27 17:44:45 - mmengine - INFO - Epoch(train) [1][3360/3757] lr: 1.000e-02 eta: 1 day, 3:54:51 time: 0.211 data_time: 0.005 memory: 5151 grad_norm: 6.3797 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2931 loss: 3.2931 2022/06/27 17:44:51 - mmengine - INFO - Epoch(train) [1][3380/3757] lr: 1.000e-02 eta: 1 day, 3:54:56 time: 0.201 data_time: 0.008 memory: 5151 grad_norm: 6.5997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3350 loss: 3.3350 2022/06/27 17:44:56 - mmengine - INFO - Epoch(train) [1][3400/3757] lr: 1.000e-02 eta: 1 day, 3:53:58 time: 0.210 data_time: 0.019 memory: 5151 grad_norm: 6.4386 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.6484 loss: 3.6484 2022/06/27 17:45:01 - mmengine - INFO - Epoch(train) [1][3420/3757] lr: 1.000e-02 eta: 1 day, 3:53:19 time: 0.206 data_time: 0.006 memory: 5151 grad_norm: 6.4942 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.8082 loss: 3.8082 2022/06/27 17:45:06 - mmengine - INFO - Epoch(train) [1][3440/3757] lr: 1.000e-02 eta: 1 day, 3:53:45 time: 0.198 data_time: 0.006 memory: 5151 grad_norm: 5.9187 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6389 loss: 3.6389 2022/06/27 17:45:11 - mmengine - INFO - Epoch(train) [1][3460/3757] lr: 1.000e-02 eta: 1 day, 3:52:43 time: 0.203 data_time: 0.014 memory: 5151 grad_norm: 6.3315 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8170 loss: 3.8170 2022/06/27 17:45:17 - mmengine - INFO - Epoch(train) [1][3480/3757] lr: 1.000e-02 eta: 1 day, 3:53:36 time: 0.202 data_time: 0.007 memory: 5151 grad_norm: 6.4617 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5855 loss: 3.5855 2022/06/27 17:45:23 - mmengine - INFO - Epoch(train) [1][3500/3757] lr: 1.000e-02 eta: 1 day, 3:54:01 time: 0.197 data_time: 0.007 memory: 5151 grad_norm: 6.3273 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3474 loss: 3.3474 2022/06/27 17:45:28 - mmengine - INFO - Epoch(train) [1][3520/3757] lr: 1.000e-02 eta: 1 day, 3:52:39 time: 0.210 data_time: 0.008 memory: 5151 grad_norm: 5.9327 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5701 loss: 3.5701 2022/06/27 17:45:33 - mmengine - INFO - Epoch(train) [1][3540/3757] lr: 1.000e-02 eta: 1 day, 3:53:12 time: 0.202 data_time: 0.006 memory: 5151 grad_norm: 6.5370 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7250 loss: 3.7250 2022/06/27 17:45:39 - mmengine - INFO - Epoch(train) [1][3560/3757] lr: 1.000e-02 eta: 1 day, 3:52:57 time: 0.195 data_time: 0.005 memory: 5151 grad_norm: 6.1205 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.4905 loss: 3.4905 2022/06/27 17:45:43 - mmengine - INFO - Epoch(train) [1][3580/3757] lr: 1.000e-02 eta: 1 day, 3:51:31 time: 0.202 data_time: 0.017 memory: 5151 grad_norm: 5.8447 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3101 loss: 3.3101 2022/06/27 17:45:49 - mmengine - INFO - Epoch(train) [1][3600/3757] lr: 1.000e-02 eta: 1 day, 3:51:29 time: 0.194 data_time: 0.006 memory: 5151 grad_norm: 6.8460 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.6908 loss: 3.6908 2022/06/27 17:45:55 - mmengine - INFO - Epoch(train) [1][3620/3757] lr: 1.000e-02 eta: 1 day, 3:52:14 time: 0.195 data_time: 0.006 memory: 5151 grad_norm: 6.6648 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5141 loss: 3.5141 2022/06/27 17:45:59 - mmengine - INFO - Epoch(train) [1][3640/3757] lr: 1.000e-02 eta: 1 day, 3:50:51 time: 0.198 data_time: 0.008 memory: 5151 grad_norm: 6.8669 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.3053 loss: 3.3053 2022/06/27 17:46:05 - mmengine - INFO - Epoch(train) [1][3660/3757] lr: 1.000e-02 eta: 1 day, 3:50:59 time: 0.274 data_time: 0.009 memory: 5151 grad_norm: 6.3108 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3342 loss: 3.3342 2022/06/27 17:46:10 - mmengine - INFO - Epoch(train) [1][3680/3757] lr: 1.000e-02 eta: 1 day, 3:51:25 time: 0.191 data_time: 0.006 memory: 5151 grad_norm: 6.2109 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.8711 loss: 3.8711 2022/06/27 17:46:15 - mmengine - INFO - Epoch(train) [1][3700/3757] lr: 1.000e-02 eta: 1 day, 3:50:53 time: 0.194 data_time: 0.005 memory: 5151 grad_norm: 6.4735 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.5781 loss: 3.5781 2022/06/27 17:46:21 - mmengine - INFO - Epoch(train) [1][3720/3757] lr: 1.000e-02 eta: 1 day, 3:51:14 time: 0.194 data_time: 0.009 memory: 5151 grad_norm: 5.4761 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.4599 loss: 3.4599 2022/06/27 17:46:27 - mmengine - INFO - Epoch(train) [1][3740/3757] lr: 1.000e-02 eta: 1 day, 3:51:52 time: 0.192 data_time: 0.006 memory: 5151 grad_norm: 6.0394 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.9581 loss: 3.9581 2022/06/27 17:46:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 17:47:22 - mmengine - INFO - Epoch(val) [1][20/310] eta: 0:03:47 time: 0.890 data_time: 0.252 memory: 44928 2022/06/27 17:47:41 - mmengine - INFO - Epoch(val) [1][40/310] eta: 0:04:29 time: 0.950 data_time: 0.324 memory: 9746 2022/06/27 17:48:02 - mmengine - INFO - Epoch(val) [1][60/310] eta: 0:04:16 time: 1.056 data_time: 0.445 memory: 9746 2022/06/27 17:48:23 - mmengine - INFO - Epoch(val) [1][80/310] eta: 0:04:21 time: 0.931 data_time: 0.269 memory: 9746 2022/06/27 17:48:46 - mmengine - INFO - Epoch(val) [1][100/310] eta: 0:04:06 time: 2.460 data_time: 1.775 memory: 9746 2022/06/27 17:49:07 - mmengine - INFO - Epoch(val) [1][120/310] eta: 0:03:16 time: 0.998 data_time: 0.337 memory: 9746 2022/06/27 17:49:32 - mmengine - INFO - Epoch(val) [1][140/310] eta: 0:03:19 time: 1.037 data_time: 0.390 memory: 9746 2022/06/27 17:49:56 - mmengine - INFO - Epoch(val) [1][160/310] eta: 0:03:14 time: 3.892 data_time: 3.204 memory: 9746 2022/06/27 17:50:19 - mmengine - INFO - Epoch(val) [1][180/310] eta: 0:02:49 time: 1.081 data_time: 0.430 memory: 9746 2022/06/27 17:50:41 - mmengine - INFO - Epoch(val) [1][200/310] eta: 0:02:01 time: 0.959 data_time: 0.312 memory: 9746 2022/06/27 17:51:01 - mmengine - INFO - Epoch(val) [1][220/310] eta: 0:01:34 time: 1.211 data_time: 0.558 memory: 9746 2022/06/27 17:51:24 - mmengine - INFO - Epoch(val) [1][240/310] eta: 0:01:19 time: 0.945 data_time: 0.316 memory: 9746 2022/06/27 17:51:46 - mmengine - INFO - Epoch(val) [1][260/310] eta: 0:00:59 time: 0.984 data_time: 0.343 memory: 9746 2022/06/27 17:52:11 - mmengine - INFO - Epoch(val) [1][280/310] eta: 0:00:35 time: 1.080 data_time: 0.445 memory: 9746 2022/06/27 17:52:30 - mmengine - INFO - Epoch(val) [1][300/310] eta: 0:00:07 time: 0.655 data_time: 0.082 memory: 9746 2022/06/27 17:52:55 - mmengine - INFO - Epoch(val) [1][310/310] acc/top1: 0.3265 acc/top5: 0.6017 acc/mean1: 0.3263 2022/06/27 17:53:02 - mmengine - INFO - Epoch(train) [2][20/3757] lr: 1.000e-02 eta: 1 day, 3:49:41 time: 0.213 data_time: 0.008 memory: 40161 grad_norm: 6.0799 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8109 loss: 3.8109 2022/06/27 17:53:06 - mmengine - INFO - Epoch(train) [2][40/3757] lr: 1.000e-02 eta: 1 day, 3:47:30 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.1290 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7824 loss: 3.7824 2022/06/27 17:53:10 - mmengine - INFO - Epoch(train) [2][60/3757] lr: 1.000e-02 eta: 1 day, 3:45:24 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.4964 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6696 loss: 3.6696 2022/06/27 17:53:15 - mmengine - INFO - Epoch(train) [2][80/3757] lr: 1.000e-02 eta: 1 day, 3:43:18 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 5.9268 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3565 loss: 3.3565 2022/06/27 17:53:19 - mmengine - INFO - Epoch(train) [2][100/3757] lr: 1.000e-02 eta: 1 day, 3:41:09 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.4477 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2662 loss: 3.2662 2022/06/27 17:53:23 - mmengine - INFO - Epoch(train) [2][120/3757] lr: 1.000e-02 eta: 1 day, 3:39:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.2297 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9690 loss: 3.9690 2022/06/27 17:53:27 - mmengine - INFO - Epoch(train) [2][140/3757] lr: 1.000e-02 eta: 1 day, 3:36:59 time: 0.220 data_time: 0.015 memory: 5150 grad_norm: 6.5289 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4214 loss: 3.4214 2022/06/27 17:53:31 - mmengine - INFO - Epoch(train) [2][160/3757] lr: 1.000e-02 eta: 1 day, 3:34:58 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.5507 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.7255 loss: 3.7255 2022/06/27 17:53:35 - mmengine - INFO - Epoch(train) [2][180/3757] lr: 1.000e-02 eta: 1 day, 3:32:59 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 6.2951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8486 loss: 3.8486 2022/06/27 17:53:39 - mmengine - INFO - Epoch(train) [2][200/3757] lr: 1.000e-02 eta: 1 day, 3:31:00 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.5048 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3757 loss: 3.3757 2022/06/27 17:53:43 - mmengine - INFO - Epoch(train) [2][220/3757] lr: 1.000e-02 eta: 1 day, 3:28:58 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.9237 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5956 loss: 3.5956 2022/06/27 17:53:47 - mmengine - INFO - Epoch(train) [2][240/3757] lr: 1.000e-02 eta: 1 day, 3:26:58 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.2314 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7580 loss: 3.7580 2022/06/27 17:53:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 17:53:51 - mmengine - INFO - Epoch(train) [2][260/3757] lr: 1.000e-02 eta: 1 day, 3:24:58 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.5936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.8932 loss: 3.8932 2022/06/27 17:53:56 - mmengine - INFO - Epoch(train) [2][280/3757] lr: 1.000e-02 eta: 1 day, 3:23:01 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 6.1728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5051 loss: 3.5051 2022/06/27 17:54:00 - mmengine - INFO - Epoch(train) [2][300/3757] lr: 1.000e-02 eta: 1 day, 3:21:05 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 6.8003 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.4659 loss: 3.4659 2022/06/27 17:54:04 - mmengine - INFO - Epoch(train) [2][320/3757] lr: 1.000e-02 eta: 1 day, 3:19:10 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.4153 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2979 loss: 3.2979 2022/06/27 17:54:08 - mmengine - INFO - Epoch(train) [2][340/3757] lr: 1.000e-02 eta: 1 day, 3:17:15 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.4127 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6067 loss: 3.6067 2022/06/27 17:54:12 - mmengine - INFO - Epoch(train) [2][360/3757] lr: 1.000e-02 eta: 1 day, 3:15:22 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 6.3243 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1577 loss: 3.1577 2022/06/27 17:54:16 - mmengine - INFO - Epoch(train) [2][380/3757] lr: 1.000e-02 eta: 1 day, 3:13:32 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.5754 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4311 loss: 3.4311 2022/06/27 17:54:20 - mmengine - INFO - Epoch(train) [2][400/3757] lr: 1.000e-02 eta: 1 day, 3:11:43 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.2434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3966 loss: 3.3966 2022/06/27 17:54:24 - mmengine - INFO - Epoch(train) [2][420/3757] lr: 1.000e-02 eta: 1 day, 3:09:54 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.7481 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2430 loss: 3.2430 2022/06/27 17:54:28 - mmengine - INFO - Epoch(train) [2][440/3757] lr: 1.000e-02 eta: 1 day, 3:08:03 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 6.5351 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 3.6037 loss: 3.6037 2022/06/27 17:54:32 - mmengine - INFO - Epoch(train) [2][460/3757] lr: 1.000e-02 eta: 1 day, 3:06:16 time: 0.209 data_time: 0.018 memory: 5150 grad_norm: 6.8696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.3218 loss: 3.3218 2022/06/27 17:54:37 - mmengine - INFO - Epoch(train) [2][480/3757] lr: 1.000e-02 eta: 1 day, 3:04:32 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 6.2942 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3206 loss: 3.3206 2022/06/27 17:54:41 - mmengine - INFO - Epoch(train) [2][500/3757] lr: 1.000e-02 eta: 1 day, 3:02:50 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 6.6035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.7309 loss: 3.7309 2022/06/27 17:54:45 - mmengine - INFO - Epoch(train) [2][520/3757] lr: 1.000e-02 eta: 1 day, 3:01:03 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 5.6826 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.0559 loss: 3.0559 2022/06/27 17:54:49 - mmengine - INFO - Epoch(train) [2][540/3757] lr: 1.000e-02 eta: 1 day, 2:59:22 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.9652 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.8063 loss: 3.8063 2022/06/27 17:54:53 - mmengine - INFO - Epoch(train) [2][560/3757] lr: 1.000e-02 eta: 1 day, 2:57:41 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 6.1183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1095 loss: 3.1095 2022/06/27 17:54:57 - mmengine - INFO - Epoch(train) [2][580/3757] lr: 1.000e-02 eta: 1 day, 2:55:59 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.8382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0223 loss: 3.0223 2022/06/27 17:55:01 - mmengine - INFO - Epoch(train) [2][600/3757] lr: 1.000e-02 eta: 1 day, 2:54:16 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 5.9860 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.5462 loss: 3.5462 2022/06/27 17:55:05 - mmengine - INFO - Epoch(train) [2][620/3757] lr: 1.000e-02 eta: 1 day, 2:52:35 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.7359 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3412 loss: 3.3412 2022/06/27 17:55:09 - mmengine - INFO - Epoch(train) [2][640/3757] lr: 1.000e-02 eta: 1 day, 2:50:59 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 5.7631 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.7503 loss: 3.7503 2022/06/27 17:55:14 - mmengine - INFO - Epoch(train) [2][660/3757] lr: 1.000e-02 eta: 1 day, 2:49:20 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 6.2647 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5264 loss: 3.5264 2022/06/27 17:55:18 - mmengine - INFO - Epoch(train) [2][680/3757] lr: 1.000e-02 eta: 1 day, 2:47:44 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.5518 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.8557 loss: 3.8557 2022/06/27 17:55:22 - mmengine - INFO - Epoch(train) [2][700/3757] lr: 1.000e-02 eta: 1 day, 2:46:08 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 6.0200 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.4035 loss: 3.4035 2022/06/27 17:55:26 - mmengine - INFO - Epoch(train) [2][720/3757] lr: 1.000e-02 eta: 1 day, 2:44:36 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.5241 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.3336 loss: 3.3336 2022/06/27 17:55:30 - mmengine - INFO - Epoch(train) [2][740/3757] lr: 1.000e-02 eta: 1 day, 2:43:03 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.0684 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2216 loss: 3.2216 2022/06/27 17:55:34 - mmengine - INFO - Epoch(train) [2][760/3757] lr: 1.000e-02 eta: 1 day, 2:41:27 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.4074 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5716 loss: 3.5716 2022/06/27 17:55:38 - mmengine - INFO - Epoch(train) [2][780/3757] lr: 1.000e-02 eta: 1 day, 2:39:55 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 6.3359 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3710 loss: 3.3710 2022/06/27 17:55:42 - mmengine - INFO - Epoch(train) [2][800/3757] lr: 1.000e-02 eta: 1 day, 2:38:24 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.4024 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3451 loss: 3.3451 2022/06/27 17:55:46 - mmengine - INFO - Epoch(train) [2][820/3757] lr: 1.000e-02 eta: 1 day, 2:36:52 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 6.2580 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2349 loss: 3.2349 2022/06/27 17:55:51 - mmengine - INFO - Epoch(train) [2][840/3757] lr: 1.000e-02 eta: 1 day, 2:35:22 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.2645 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0707 loss: 3.0707 2022/06/27 17:55:55 - mmengine - INFO - Epoch(train) [2][860/3757] lr: 1.000e-02 eta: 1 day, 2:33:55 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 6.9125 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.5247 loss: 3.5247 2022/06/27 17:55:59 - mmengine - INFO - Epoch(train) [2][880/3757] lr: 1.000e-02 eta: 1 day, 2:32:26 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 7.4435 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4416 loss: 3.4416 2022/06/27 17:56:03 - mmengine - INFO - Epoch(train) [2][900/3757] lr: 1.000e-02 eta: 1 day, 2:30:57 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.3267 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.8702 loss: 3.8702 2022/06/27 17:56:07 - mmengine - INFO - Epoch(train) [2][920/3757] lr: 1.000e-02 eta: 1 day, 2:29:31 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 6.3828 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.3008 loss: 3.3008 2022/06/27 17:56:11 - mmengine - INFO - Epoch(train) [2][940/3757] lr: 1.000e-02 eta: 1 day, 2:28:07 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.0792 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.5177 loss: 3.5177 2022/06/27 17:56:15 - mmengine - INFO - Epoch(train) [2][960/3757] lr: 1.000e-02 eta: 1 day, 2:26:42 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.8129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.5280 loss: 3.5280 2022/06/27 17:56:19 - mmengine - INFO - Epoch(train) [2][980/3757] lr: 1.000e-02 eta: 1 day, 2:25:20 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.4577 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4997 loss: 3.4997 2022/06/27 17:56:24 - mmengine - INFO - Epoch(train) [2][1000/3757] lr: 1.000e-02 eta: 1 day, 2:23:54 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 6.2775 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.4671 loss: 3.4671 2022/06/27 17:56:28 - mmengine - INFO - Epoch(train) [2][1020/3757] lr: 1.000e-02 eta: 1 day, 2:22:30 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.5410 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.4236 loss: 3.4236 2022/06/27 17:56:32 - mmengine - INFO - Epoch(train) [2][1040/3757] lr: 1.000e-02 eta: 1 day, 2:21:08 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.3194 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2861 loss: 3.2861 2022/06/27 17:56:36 - mmengine - INFO - Epoch(train) [2][1060/3757] lr: 1.000e-02 eta: 1 day, 2:19:45 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 5.6861 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1975 loss: 3.1975 2022/06/27 17:56:40 - mmengine - INFO - Epoch(train) [2][1080/3757] lr: 1.000e-02 eta: 1 day, 2:18:23 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.1683 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3956 loss: 3.3956 2022/06/27 17:56:44 - mmengine - INFO - Epoch(train) [2][1100/3757] lr: 1.000e-02 eta: 1 day, 2:17:00 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.7993 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3609 loss: 3.3609 2022/06/27 17:56:48 - mmengine - INFO - Epoch(train) [2][1120/3757] lr: 1.000e-02 eta: 1 day, 2:15:42 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.3787 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1318 loss: 3.1318 2022/06/27 17:56:52 - mmengine - INFO - Epoch(train) [2][1140/3757] lr: 1.000e-02 eta: 1 day, 2:14:22 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.9983 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.5472 loss: 3.5472 2022/06/27 17:56:56 - mmengine - INFO - Epoch(train) [2][1160/3757] lr: 1.000e-02 eta: 1 day, 2:13:03 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 6.6001 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0985 loss: 3.0985 2022/06/27 17:57:01 - mmengine - INFO - Epoch(train) [2][1180/3757] lr: 1.000e-02 eta: 1 day, 2:11:43 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.8921 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1836 loss: 3.1836 2022/06/27 17:57:05 - mmengine - INFO - Epoch(train) [2][1200/3757] lr: 1.000e-02 eta: 1 day, 2:10:25 time: 0.206 data_time: 0.025 memory: 5150 grad_norm: 6.3925 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1982 loss: 3.1982 2022/06/27 17:57:09 - mmengine - INFO - Epoch(train) [2][1220/3757] lr: 1.000e-02 eta: 1 day, 2:09:09 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 6.4157 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1067 loss: 3.1067 2022/06/27 17:57:13 - mmengine - INFO - Epoch(train) [2][1240/3757] lr: 1.000e-02 eta: 1 day, 2:07:52 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.8539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.3476 loss: 3.3476 2022/06/27 17:57:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 17:57:17 - mmengine - INFO - Epoch(train) [2][1260/3757] lr: 1.000e-02 eta: 1 day, 2:06:37 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.8321 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0969 loss: 3.0969 2022/06/27 17:57:21 - mmengine - INFO - Epoch(train) [2][1280/3757] lr: 1.000e-02 eta: 1 day, 2:05:20 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.8530 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0229 loss: 3.0229 2022/06/27 17:57:25 - mmengine - INFO - Epoch(train) [2][1300/3757] lr: 1.000e-02 eta: 1 day, 2:04:07 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.5884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3976 loss: 3.3976 2022/06/27 17:57:29 - mmengine - INFO - Epoch(train) [2][1320/3757] lr: 1.000e-02 eta: 1 day, 2:02:53 time: 0.216 data_time: 0.014 memory: 5150 grad_norm: 6.3860 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2895 loss: 3.2895 2022/06/27 17:57:33 - mmengine - INFO - Epoch(train) [2][1340/3757] lr: 1.000e-02 eta: 1 day, 2:01:38 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.4079 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.7804 loss: 3.7804 2022/06/27 17:57:38 - mmengine - INFO - Epoch(train) [2][1360/3757] lr: 1.000e-02 eta: 1 day, 2:00:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9851 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.6910 loss: 3.6910 2022/06/27 17:57:42 - mmengine - INFO - Epoch(train) [2][1380/3757] lr: 1.000e-02 eta: 1 day, 1:59:15 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 6.0551 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9541 loss: 2.9541 2022/06/27 17:57:46 - mmengine - INFO - Epoch(train) [2][1400/3757] lr: 1.000e-02 eta: 1 day, 1:58:04 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.4670 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2444 loss: 3.2444 2022/06/27 17:57:50 - mmengine - INFO - Epoch(train) [2][1420/3757] lr: 1.000e-02 eta: 1 day, 1:56:54 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.6151 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0422 loss: 3.0422 2022/06/27 17:57:54 - mmengine - INFO - Epoch(train) [2][1440/3757] lr: 1.000e-02 eta: 1 day, 1:55:43 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.3026 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1534 loss: 3.1534 2022/06/27 17:57:58 - mmengine - INFO - Epoch(train) [2][1460/3757] lr: 1.000e-02 eta: 1 day, 1:54:32 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 6.1600 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.5989 loss: 3.5989 2022/06/27 17:58:02 - mmengine - INFO - Epoch(train) [2][1480/3757] lr: 1.000e-02 eta: 1 day, 1:53:22 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.5162 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.1707 loss: 3.1707 2022/06/27 17:58:06 - mmengine - INFO - Epoch(train) [2][1500/3757] lr: 1.000e-02 eta: 1 day, 1:52:11 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 6.2292 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.7542 loss: 3.7542 2022/06/27 17:58:11 - mmengine - INFO - Epoch(train) [2][1520/3757] lr: 1.000e-02 eta: 1 day, 1:51:04 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 6.1001 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3308 loss: 3.3308 2022/06/27 17:58:15 - mmengine - INFO - Epoch(train) [2][1540/3757] lr: 1.000e-02 eta: 1 day, 1:49:58 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.1460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0159 loss: 3.0159 2022/06/27 17:58:19 - mmengine - INFO - Epoch(train) [2][1560/3757] lr: 1.000e-02 eta: 1 day, 1:48:48 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 6.4209 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2526 loss: 3.2526 2022/06/27 17:58:23 - mmengine - INFO - Epoch(train) [2][1580/3757] lr: 1.000e-02 eta: 1 day, 1:47:42 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.5964 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1827 loss: 3.1827 2022/06/27 17:58:27 - mmengine - INFO - Epoch(train) [2][1600/3757] lr: 1.000e-02 eta: 1 day, 1:46:36 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 6.2020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4529 loss: 3.4529 2022/06/27 17:58:31 - mmengine - INFO - Epoch(train) [2][1620/3757] lr: 1.000e-02 eta: 1 day, 1:45:31 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.3148 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.2225 loss: 3.2225 2022/06/27 17:58:35 - mmengine - INFO - Epoch(train) [2][1640/3757] lr: 1.000e-02 eta: 1 day, 1:44:26 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.9710 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2336 loss: 3.2336 2022/06/27 17:58:40 - mmengine - INFO - Epoch(train) [2][1660/3757] lr: 1.000e-02 eta: 1 day, 1:43:21 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 5.7437 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2083 loss: 3.2083 2022/06/27 17:58:44 - mmengine - INFO - Epoch(train) [2][1680/3757] lr: 1.000e-02 eta: 1 day, 1:42:15 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.0134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4856 loss: 3.4856 2022/06/27 17:58:48 - mmengine - INFO - Epoch(train) [2][1700/3757] lr: 1.000e-02 eta: 1 day, 1:41:12 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.1772 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2105 loss: 3.2105 2022/06/27 17:58:52 - mmengine - INFO - Epoch(train) [2][1720/3757] lr: 1.000e-02 eta: 1 day, 1:40:07 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 6.3419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.6872 loss: 3.6872 2022/06/27 17:58:56 - mmengine - INFO - Epoch(train) [2][1740/3757] lr: 1.000e-02 eta: 1 day, 1:39:03 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.1856 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8267 loss: 3.8267 2022/06/27 17:59:00 - mmengine - INFO - Epoch(train) [2][1760/3757] lr: 1.000e-02 eta: 1 day, 1:37:58 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.0009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3763 loss: 3.3763 2022/06/27 17:59:04 - mmengine - INFO - Epoch(train) [2][1780/3757] lr: 1.000e-02 eta: 1 day, 1:36:52 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 6.0438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6495 loss: 3.6495 2022/06/27 17:59:08 - mmengine - INFO - Epoch(train) [2][1800/3757] lr: 1.000e-02 eta: 1 day, 1:35:50 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.9495 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.6473 loss: 3.6473 2022/06/27 17:59:12 - mmengine - INFO - Epoch(train) [2][1820/3757] lr: 1.000e-02 eta: 1 day, 1:34:46 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.9702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9005 loss: 2.9005 2022/06/27 17:59:16 - mmengine - INFO - Epoch(train) [2][1840/3757] lr: 1.000e-02 eta: 1 day, 1:33:43 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.6788 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9581 loss: 2.9581 2022/06/27 17:59:21 - mmengine - INFO - Epoch(train) [2][1860/3757] lr: 1.000e-02 eta: 1 day, 1:32:42 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 6.4952 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2125 loss: 3.2125 2022/06/27 17:59:25 - mmengine - INFO - Epoch(train) [2][1880/3757] lr: 1.000e-02 eta: 1 day, 1:31:39 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 6.9439 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.5433 loss: 3.5433 2022/06/27 17:59:29 - mmengine - INFO - Epoch(train) [2][1900/3757] lr: 1.000e-02 eta: 1 day, 1:30:38 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.1861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.5778 loss: 3.5778 2022/06/27 17:59:33 - mmengine - INFO - Epoch(train) [2][1920/3757] lr: 1.000e-02 eta: 1 day, 1:29:39 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 5.4975 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8947 loss: 2.8947 2022/06/27 17:59:37 - mmengine - INFO - Epoch(train) [2][1940/3757] lr: 1.000e-02 eta: 1 day, 1:28:36 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 6.0669 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3608 loss: 3.3608 2022/06/27 17:59:41 - mmengine - INFO - Epoch(train) [2][1960/3757] lr: 1.000e-02 eta: 1 day, 1:27:37 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.3794 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3002 loss: 3.3002 2022/06/27 17:59:45 - mmengine - INFO - Epoch(train) [2][1980/3757] lr: 1.000e-02 eta: 1 day, 1:26:39 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.3807 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5080 loss: 3.5080 2022/06/27 17:59:49 - mmengine - INFO - Epoch(train) [2][2000/3757] lr: 1.000e-02 eta: 1 day, 1:25:40 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 5.8446 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8776 loss: 2.8776 2022/06/27 17:59:54 - mmengine - INFO - Epoch(train) [2][2020/3757] lr: 1.000e-02 eta: 1 day, 1:24:44 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.9959 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.3894 loss: 3.3894 2022/06/27 17:59:58 - mmengine - INFO - Epoch(train) [2][2040/3757] lr: 1.000e-02 eta: 1 day, 1:23:46 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 6.4884 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4109 loss: 3.4109 2022/06/27 18:00:02 - mmengine - INFO - Epoch(train) [2][2060/3757] lr: 1.000e-02 eta: 1 day, 1:22:52 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 6.0352 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2092 loss: 3.2092 2022/06/27 18:00:07 - mmengine - INFO - Epoch(train) [2][2080/3757] lr: 1.000e-02 eta: 1 day, 1:23:29 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 7.0279 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.9412 loss: 2.9412 2022/06/27 18:00:12 - mmengine - INFO - Epoch(train) [2][2100/3757] lr: 1.000e-02 eta: 1 day, 1:23:13 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 6.4079 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0049 loss: 3.0049 2022/06/27 18:00:17 - mmengine - INFO - Epoch(train) [2][2120/3757] lr: 1.000e-02 eta: 1 day, 1:22:39 time: 0.209 data_time: 0.020 memory: 5150 grad_norm: 6.0757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2090 loss: 3.2090 2022/06/27 18:00:21 - mmengine - INFO - Epoch(train) [2][2140/3757] lr: 1.000e-02 eta: 1 day, 1:21:58 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6413 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2935 loss: 3.2935 2022/06/27 18:00:27 - mmengine - INFO - Epoch(train) [2][2160/3757] lr: 1.000e-02 eta: 1 day, 1:22:43 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 6.3055 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.3670 loss: 3.3670 2022/06/27 18:00:32 - mmengine - INFO - Epoch(train) [2][2180/3757] lr: 1.000e-02 eta: 1 day, 1:23:06 time: 0.490 data_time: 0.016 memory: 5150 grad_norm: 5.8570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1336 loss: 3.1336 2022/06/27 18:00:38 - mmengine - INFO - Epoch(train) [2][2200/3757] lr: 1.000e-02 eta: 1 day, 1:23:31 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.8008 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9131 loss: 2.9131 2022/06/27 18:00:43 - mmengine - INFO - Epoch(train) [2][2220/3757] lr: 1.000e-02 eta: 1 day, 1:24:03 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.7463 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3562 loss: 3.3562 2022/06/27 18:00:48 - mmengine - INFO - Epoch(train) [2][2240/3757] lr: 1.000e-02 eta: 1 day, 1:24:13 time: 0.474 data_time: 0.012 memory: 5150 grad_norm: 5.6344 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1223 loss: 3.1223 2022/06/27 18:00:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:00:54 - mmengine - INFO - Epoch(train) [2][2260/3757] lr: 1.000e-02 eta: 1 day, 1:24:28 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9150 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0406 loss: 3.0406 2022/06/27 18:00:59 - mmengine - INFO - Epoch(train) [2][2280/3757] lr: 1.000e-02 eta: 1 day, 1:25:17 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.2769 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1276 loss: 3.1276 2022/06/27 18:01:05 - mmengine - INFO - Epoch(train) [2][2300/3757] lr: 1.000e-02 eta: 1 day, 1:25:29 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.7812 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.8632 loss: 3.8632 2022/06/27 18:01:10 - mmengine - INFO - Epoch(train) [2][2320/3757] lr: 1.000e-02 eta: 1 day, 1:25:36 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 6.4072 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5439 loss: 3.5439 2022/06/27 18:01:15 - mmengine - INFO - Epoch(train) [2][2340/3757] lr: 1.000e-02 eta: 1 day, 1:26:10 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.5473 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.3186 loss: 3.3186 2022/06/27 18:01:21 - mmengine - INFO - Epoch(train) [2][2360/3757] lr: 1.000e-02 eta: 1 day, 1:26:41 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 6.8625 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9358 loss: 2.9358 2022/06/27 18:01:27 - mmengine - INFO - Epoch(train) [2][2380/3757] lr: 1.000e-02 eta: 1 day, 1:27:36 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 6.3180 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1660 loss: 3.1660 2022/06/27 18:01:32 - mmengine - INFO - Epoch(train) [2][2400/3757] lr: 1.000e-02 eta: 1 day, 1:27:41 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.9131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0074 loss: 3.0074 2022/06/27 18:01:38 - mmengine - INFO - Epoch(train) [2][2420/3757] lr: 1.000e-02 eta: 1 day, 1:28:09 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.2830 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0649 loss: 3.0649 2022/06/27 18:01:43 - mmengine - INFO - Epoch(train) [2][2440/3757] lr: 1.000e-02 eta: 1 day, 1:28:49 time: 0.193 data_time: 0.018 memory: 5150 grad_norm: 6.2501 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.4072 loss: 3.4072 2022/06/27 18:01:50 - mmengine - INFO - Epoch(train) [2][2460/3757] lr: 1.000e-02 eta: 1 day, 1:30:08 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.4464 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9118 loss: 2.9118 2022/06/27 18:01:55 - mmengine - INFO - Epoch(train) [2][2480/3757] lr: 1.000e-02 eta: 1 day, 1:30:18 time: 0.652 data_time: 0.011 memory: 5150 grad_norm: 6.0669 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8026 loss: 3.8026 2022/06/27 18:02:00 - mmengine - INFO - Epoch(train) [2][2500/3757] lr: 1.000e-02 eta: 1 day, 1:30:51 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 5.8963 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9938 loss: 2.9938 2022/06/27 18:02:06 - mmengine - INFO - Epoch(train) [2][2520/3757] lr: 1.000e-02 eta: 1 day, 1:31:14 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.6495 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1781 loss: 3.1781 2022/06/27 18:02:11 - mmengine - INFO - Epoch(train) [2][2540/3757] lr: 1.000e-02 eta: 1 day, 1:31:08 time: 0.335 data_time: 0.009 memory: 5150 grad_norm: 6.8509 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1085 loss: 3.1085 2022/06/27 18:02:17 - mmengine - INFO - Epoch(train) [2][2560/3757] lr: 1.000e-02 eta: 1 day, 1:31:46 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 6.0456 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3623 loss: 3.3623 2022/06/27 18:02:22 - mmengine - INFO - Epoch(train) [2][2580/3757] lr: 1.000e-02 eta: 1 day, 1:31:53 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3932 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8487 loss: 3.8487 2022/06/27 18:02:27 - mmengine - INFO - Epoch(train) [2][2600/3757] lr: 1.000e-02 eta: 1 day, 1:31:56 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.9106 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7557 loss: 2.7557 2022/06/27 18:02:32 - mmengine - INFO - Epoch(train) [2][2620/3757] lr: 1.000e-02 eta: 1 day, 1:32:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9698 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.4127 loss: 3.4127 2022/06/27 18:02:38 - mmengine - INFO - Epoch(train) [2][2640/3757] lr: 1.000e-02 eta: 1 day, 1:32:24 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.0550 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3490 loss: 3.3490 2022/06/27 18:02:43 - mmengine - INFO - Epoch(train) [2][2660/3757] lr: 1.000e-02 eta: 1 day, 1:32:44 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 5.8802 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2064 loss: 3.2064 2022/06/27 18:02:49 - mmengine - INFO - Epoch(train) [2][2680/3757] lr: 1.000e-02 eta: 1 day, 1:33:29 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7957 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1993 loss: 3.1993 2022/06/27 18:02:53 - mmengine - INFO - Epoch(train) [2][2700/3757] lr: 1.000e-02 eta: 1 day, 1:32:52 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.0879 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.4017 loss: 3.4017 2022/06/27 18:02:59 - mmengine - INFO - Epoch(train) [2][2720/3757] lr: 1.000e-02 eta: 1 day, 1:33:19 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.4861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0922 loss: 3.0922 2022/06/27 18:03:04 - mmengine - INFO - Epoch(train) [2][2740/3757] lr: 1.000e-02 eta: 1 day, 1:33:35 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 6.3473 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.4116 loss: 3.4116 2022/06/27 18:03:09 - mmengine - INFO - Epoch(train) [2][2760/3757] lr: 1.000e-02 eta: 1 day, 1:33:24 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 6.4583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.2074 loss: 3.2074 2022/06/27 18:03:15 - mmengine - INFO - Epoch(train) [2][2780/3757] lr: 1.000e-02 eta: 1 day, 1:33:51 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.2408 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2317 loss: 3.2317 2022/06/27 18:03:20 - mmengine - INFO - Epoch(train) [2][2800/3757] lr: 1.000e-02 eta: 1 day, 1:34:31 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 6.2137 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.0694 loss: 3.0694 2022/06/27 18:03:32 - mmengine - INFO - Epoch(train) [2][2820/3757] lr: 1.000e-02 eta: 1 day, 1:40:57 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 5.5164 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9039 loss: 2.9039 2022/06/27 18:03:36 - mmengine - INFO - Epoch(train) [2][2840/3757] lr: 1.000e-02 eta: 1 day, 1:39:58 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.2914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9463 loss: 2.9463 2022/06/27 18:03:40 - mmengine - INFO - Epoch(train) [2][2860/3757] lr: 1.000e-02 eta: 1 day, 1:38:55 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.8495 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8176 loss: 2.8176 2022/06/27 18:03:45 - mmengine - INFO - Epoch(train) [2][2880/3757] lr: 1.000e-02 eta: 1 day, 1:38:21 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.2128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.0032 loss: 3.0032 2022/06/27 18:03:50 - mmengine - INFO - Epoch(train) [2][2900/3757] lr: 1.000e-02 eta: 1 day, 1:38:29 time: 0.272 data_time: 0.009 memory: 5150 grad_norm: 6.3159 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7951 loss: 2.7951 2022/06/27 18:03:56 - mmengine - INFO - Epoch(train) [2][2920/3757] lr: 1.000e-02 eta: 1 day, 1:38:54 time: 0.709 data_time: 0.006 memory: 5150 grad_norm: 5.7775 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3802 loss: 3.3802 2022/06/27 18:04:01 - mmengine - INFO - Epoch(train) [2][2940/3757] lr: 1.000e-02 eta: 1 day, 1:38:59 time: 0.260 data_time: 0.007 memory: 5150 grad_norm: 5.7011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4286 loss: 3.4286 2022/06/27 18:04:08 - mmengine - INFO - Epoch(train) [2][2960/3757] lr: 1.000e-02 eta: 1 day, 1:40:33 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.2792 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9627 loss: 2.9627 2022/06/27 18:04:12 - mmengine - INFO - Epoch(train) [2][2980/3757] lr: 1.000e-02 eta: 1 day, 1:39:49 time: 0.347 data_time: 0.006 memory: 5150 grad_norm: 5.6692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9418 loss: 2.9418 2022/06/27 18:04:18 - mmengine - INFO - Epoch(train) [2][3000/3757] lr: 1.000e-02 eta: 1 day, 1:40:33 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.5979 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9436 loss: 2.9436 2022/06/27 18:04:23 - mmengine - INFO - Epoch(train) [2][3020/3757] lr: 1.000e-02 eta: 1 day, 1:40:54 time: 0.490 data_time: 0.010 memory: 5150 grad_norm: 5.7955 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8210 loss: 2.8210 2022/06/27 18:04:28 - mmengine - INFO - Epoch(train) [2][3040/3757] lr: 1.000e-02 eta: 1 day, 1:40:29 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 6.0486 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.4071 loss: 3.4071 2022/06/27 18:04:34 - mmengine - INFO - Epoch(train) [2][3060/3757] lr: 1.000e-02 eta: 1 day, 1:41:18 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0654 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0583 loss: 3.0583 2022/06/27 18:04:39 - mmengine - INFO - Epoch(train) [2][3080/3757] lr: 1.000e-02 eta: 1 day, 1:41:36 time: 0.261 data_time: 0.007 memory: 5150 grad_norm: 6.7796 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1405 loss: 3.1405 2022/06/27 18:04:44 - mmengine - INFO - Epoch(train) [2][3100/3757] lr: 1.000e-02 eta: 1 day, 1:41:33 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.6714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9516 loss: 2.9516 2022/06/27 18:04:50 - mmengine - INFO - Epoch(train) [2][3120/3757] lr: 1.000e-02 eta: 1 day, 1:42:23 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.0088 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3824 loss: 3.3824 2022/06/27 18:04:56 - mmengine - INFO - Epoch(train) [2][3140/3757] lr: 1.000e-02 eta: 1 day, 1:42:26 time: 0.369 data_time: 0.006 memory: 5150 grad_norm: 6.0794 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5459 loss: 3.5459 2022/06/27 18:05:01 - mmengine - INFO - Epoch(train) [2][3160/3757] lr: 1.000e-02 eta: 1 day, 1:42:51 time: 0.412 data_time: 0.007 memory: 5150 grad_norm: 5.9425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0995 loss: 3.0995 2022/06/27 18:05:07 - mmengine - INFO - Epoch(train) [2][3180/3757] lr: 1.000e-02 eta: 1 day, 1:43:24 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.4433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7698 loss: 2.7698 2022/06/27 18:05:13 - mmengine - INFO - Epoch(train) [2][3200/3757] lr: 1.000e-02 eta: 1 day, 1:43:50 time: 0.784 data_time: 0.009 memory: 5150 grad_norm: 5.7984 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.2039 loss: 3.2039 2022/06/27 18:05:18 - mmengine - INFO - Epoch(train) [2][3220/3757] lr: 1.000e-02 eta: 1 day, 1:43:53 time: 0.539 data_time: 0.006 memory: 5150 grad_norm: 6.0304 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4701 loss: 3.4701 2022/06/27 18:05:23 - mmengine - INFO - Epoch(train) [2][3240/3757] lr: 1.000e-02 eta: 1 day, 1:44:05 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.8015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0149 loss: 3.0149 2022/06/27 18:05:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:05:29 - mmengine - INFO - Epoch(train) [2][3260/3757] lr: 1.000e-02 eta: 1 day, 1:44:27 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 6.3035 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8409 loss: 2.8409 2022/06/27 18:05:33 - mmengine - INFO - Epoch(train) [2][3280/3757] lr: 1.000e-02 eta: 1 day, 1:44:10 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.9465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2625 loss: 3.2625 2022/06/27 18:05:39 - mmengine - INFO - Epoch(train) [2][3300/3757] lr: 1.000e-02 eta: 1 day, 1:44:45 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.4552 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0813 loss: 3.0813 2022/06/27 18:05:44 - mmengine - INFO - Epoch(train) [2][3320/3757] lr: 1.000e-02 eta: 1 day, 1:44:18 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.5174 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0978 loss: 3.0978 2022/06/27 18:05:49 - mmengine - INFO - Epoch(train) [2][3340/3757] lr: 1.000e-02 eta: 1 day, 1:44:36 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.5778 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0203 loss: 3.0203 2022/06/27 18:05:55 - mmengine - INFO - Epoch(train) [2][3360/3757] lr: 1.000e-02 eta: 1 day, 1:44:47 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 6.2016 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1419 loss: 3.1419 2022/06/27 18:05:59 - mmengine - INFO - Epoch(train) [2][3380/3757] lr: 1.000e-02 eta: 1 day, 1:44:33 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9526 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.6282 loss: 3.6282 2022/06/27 18:06:05 - mmengine - INFO - Epoch(train) [2][3400/3757] lr: 1.000e-02 eta: 1 day, 1:44:46 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 5.7379 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0642 loss: 3.0642 2022/06/27 18:06:10 - mmengine - INFO - Epoch(train) [2][3420/3757] lr: 1.000e-02 eta: 1 day, 1:44:59 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.4835 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9995 loss: 2.9995 2022/06/27 18:06:15 - mmengine - INFO - Epoch(train) [2][3440/3757] lr: 1.000e-02 eta: 1 day, 1:44:45 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 6.4045 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8580 loss: 2.8580 2022/06/27 18:06:21 - mmengine - INFO - Epoch(train) [2][3460/3757] lr: 1.000e-02 eta: 1 day, 1:45:06 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2333 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7681 loss: 2.7681 2022/06/27 18:06:27 - mmengine - INFO - Epoch(train) [2][3480/3757] lr: 1.000e-02 eta: 1 day, 1:45:54 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.6293 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.3147 loss: 3.3147 2022/06/27 18:06:31 - mmengine - INFO - Epoch(train) [2][3500/3757] lr: 1.000e-02 eta: 1 day, 1:45:03 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8116 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.2914 loss: 3.2914 2022/06/27 18:06:36 - mmengine - INFO - Epoch(train) [2][3520/3757] lr: 1.000e-02 eta: 1 day, 1:45:15 time: 0.491 data_time: 0.007 memory: 5150 grad_norm: 5.8967 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5297 loss: 3.5297 2022/06/27 18:06:41 - mmengine - INFO - Epoch(train) [2][3540/3757] lr: 1.000e-02 eta: 1 day, 1:45:23 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.2525 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0863 loss: 3.0863 2022/06/27 18:06:48 - mmengine - INFO - Epoch(train) [2][3560/3757] lr: 1.000e-02 eta: 1 day, 1:46:13 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2610 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8922 loss: 2.8922 2022/06/27 18:06:52 - mmengine - INFO - Epoch(train) [2][3580/3757] lr: 1.000e-02 eta: 1 day, 1:45:51 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8027 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0306 loss: 3.0306 2022/06/27 18:06:58 - mmengine - INFO - Epoch(train) [2][3600/3757] lr: 1.000e-02 eta: 1 day, 1:45:58 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 6.1776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0231 loss: 3.0231 2022/06/27 18:07:03 - mmengine - INFO - Epoch(train) [2][3620/3757] lr: 1.000e-02 eta: 1 day, 1:46:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9665 loss: 2.9665 2022/06/27 18:07:09 - mmengine - INFO - Epoch(train) [2][3640/3757] lr: 1.000e-02 eta: 1 day, 1:46:33 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 6.3167 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1596 loss: 3.1596 2022/06/27 18:07:13 - mmengine - INFO - Epoch(train) [2][3660/3757] lr: 1.000e-02 eta: 1 day, 1:46:22 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.8673 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0603 loss: 3.0603 2022/06/27 18:07:19 - mmengine - INFO - Epoch(train) [2][3680/3757] lr: 1.000e-02 eta: 1 day, 1:46:31 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.1478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1439 loss: 3.1439 2022/06/27 18:07:24 - mmengine - INFO - Epoch(train) [2][3700/3757] lr: 1.000e-02 eta: 1 day, 1:46:30 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 6.1877 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1328 loss: 3.1328 2022/06/27 18:07:29 - mmengine - INFO - Epoch(train) [2][3720/3757] lr: 1.000e-02 eta: 1 day, 1:46:19 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6546 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2419 loss: 3.2419 2022/06/27 18:07:34 - mmengine - INFO - Epoch(train) [2][3740/3757] lr: 1.000e-02 eta: 1 day, 1:46:31 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1170 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.1395 loss: 3.1395 2022/06/27 18:07:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:08:11 - mmengine - INFO - Epoch(val) [2][20/310] eta: 0:06:02 time: 1.049 data_time: 0.401 memory: 9746 2022/06/27 18:08:33 - mmengine - INFO - Epoch(val) [2][40/310] eta: 0:04:51 time: 1.066 data_time: 0.419 memory: 9746 2022/06/27 18:08:57 - mmengine - INFO - Epoch(val) [2][60/310] eta: 0:04:18 time: 1.086 data_time: 0.447 memory: 9746 2022/06/27 18:09:20 - mmengine - INFO - Epoch(val) [2][80/310] eta: 0:04:48 time: 1.059 data_time: 0.416 memory: 9746 2022/06/27 18:09:44 - mmengine - INFO - Epoch(val) [2][100/310] eta: 0:04:08 time: 2.311 data_time: 1.643 memory: 9746 2022/06/27 18:10:05 - mmengine - INFO - Epoch(val) [2][120/310] eta: 0:03:21 time: 1.164 data_time: 0.520 memory: 9746 2022/06/27 18:10:30 - mmengine - INFO - Epoch(val) [2][140/310] eta: 0:03:26 time: 1.179 data_time: 0.507 memory: 9746 2022/06/27 18:10:55 - mmengine - INFO - Epoch(val) [2][160/310] eta: 0:03:20 time: 3.374 data_time: 2.702 memory: 9746 2022/06/27 18:11:18 - mmengine - INFO - Epoch(val) [2][180/310] eta: 0:02:46 time: 1.055 data_time: 0.411 memory: 9746 2022/06/27 18:11:40 - mmengine - INFO - Epoch(val) [2][200/310] eta: 0:02:05 time: 1.097 data_time: 0.448 memory: 9746 2022/06/27 18:12:02 - mmengine - INFO - Epoch(val) [2][220/310] eta: 0:01:38 time: 1.195 data_time: 0.533 memory: 9746 2022/06/27 18:12:23 - mmengine - INFO - Epoch(val) [2][240/310] eta: 0:01:13 time: 1.067 data_time: 0.415 memory: 9746 2022/06/27 18:12:47 - mmengine - INFO - Epoch(val) [2][260/310] eta: 0:01:01 time: 1.090 data_time: 0.426 memory: 9746 2022/06/27 18:13:09 - mmengine - INFO - Epoch(val) [2][280/310] eta: 0:00:34 time: 1.983 data_time: 1.331 memory: 9746 2022/06/27 18:13:28 - mmengine - INFO - Epoch(val) [2][300/310] eta: 0:00:08 time: 0.641 data_time: 0.076 memory: 9746 2022/06/27 18:13:40 - mmengine - INFO - Epoch(val) [2][310/310] acc/top1: 0.3763 acc/top5: 0.6578 acc/mean1: 0.3760 2022/06/27 18:13:48 - mmengine - INFO - Epoch(train) [3][20/3757] lr: 1.000e-02 eta: 1 day, 1:47:11 time: 0.188 data_time: 0.010 memory: 9746 grad_norm: 5.9534 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 3.2390 loss: 3.2390 2022/06/27 18:13:54 - mmengine - INFO - Epoch(train) [3][40/3757] lr: 1.000e-02 eta: 1 day, 1:47:52 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0924 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2353 loss: 3.2353 2022/06/27 18:13:59 - mmengine - INFO - Epoch(train) [3][60/3757] lr: 1.000e-02 eta: 1 day, 1:47:37 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 6.5555 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 3.1299 loss: 3.1299 2022/06/27 18:14:04 - mmengine - INFO - Epoch(train) [3][80/3757] lr: 1.000e-02 eta: 1 day, 1:48:01 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 6.5378 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.4281 loss: 3.4281 2022/06/27 18:14:10 - mmengine - INFO - Epoch(train) [3][100/3757] lr: 1.000e-02 eta: 1 day, 1:48:21 time: 0.340 data_time: 0.007 memory: 5150 grad_norm: 5.8356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0539 loss: 3.0539 2022/06/27 18:14:15 - mmengine - INFO - Epoch(train) [3][120/3757] lr: 1.000e-02 eta: 1 day, 1:48:05 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5756 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.3176 loss: 3.3176 2022/06/27 18:14:21 - mmengine - INFO - Epoch(train) [3][140/3757] lr: 1.000e-02 eta: 1 day, 1:48:38 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9085 loss: 2.9085 2022/06/27 18:14:26 - mmengine - INFO - Epoch(train) [3][160/3757] lr: 1.000e-02 eta: 1 day, 1:48:44 time: 0.257 data_time: 0.007 memory: 5150 grad_norm: 6.1844 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2510 loss: 3.2510 2022/06/27 18:14:31 - mmengine - INFO - Epoch(train) [3][180/3757] lr: 1.000e-02 eta: 1 day, 1:48:24 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.2027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9834 loss: 2.9834 2022/06/27 18:14:37 - mmengine - INFO - Epoch(train) [3][200/3757] lr: 1.000e-02 eta: 1 day, 1:49:03 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9487 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3537 loss: 3.3537 2022/06/27 18:14:42 - mmengine - INFO - Epoch(train) [3][220/3757] lr: 1.000e-02 eta: 1 day, 1:49:30 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 6.2224 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.7900 loss: 3.7900 2022/06/27 18:14:47 - mmengine - INFO - Epoch(train) [3][240/3757] lr: 1.000e-02 eta: 1 day, 1:49:32 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7783 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2911 loss: 3.2911 2022/06/27 18:14:53 - mmengine - INFO - Epoch(train) [3][260/3757] lr: 1.000e-02 eta: 1 day, 1:49:40 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4600 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1753 loss: 3.1753 2022/06/27 18:14:58 - mmengine - INFO - Epoch(train) [3][280/3757] lr: 1.000e-02 eta: 1 day, 1:49:36 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.7969 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1124 loss: 3.1124 2022/06/27 18:15:03 - mmengine - INFO - Epoch(train) [3][300/3757] lr: 1.000e-02 eta: 1 day, 1:49:22 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.1340 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.8627 loss: 3.8627 2022/06/27 18:15:08 - mmengine - INFO - Epoch(train) [3][320/3757] lr: 1.000e-02 eta: 1 day, 1:49:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5000 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2220 loss: 3.2220 2022/06/27 18:15:14 - mmengine - INFO - Epoch(train) [3][340/3757] lr: 1.000e-02 eta: 1 day, 1:50:23 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6584 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0522 loss: 3.0522 2022/06/27 18:15:19 - mmengine - INFO - Epoch(train) [3][360/3757] lr: 1.000e-02 eta: 1 day, 1:49:55 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.4303 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.5652 loss: 3.5652 2022/06/27 18:15:25 - mmengine - INFO - Epoch(train) [3][380/3757] lr: 1.000e-02 eta: 1 day, 1:50:15 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0764 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2457 loss: 3.2457 2022/06/27 18:15:30 - mmengine - INFO - Epoch(train) [3][400/3757] lr: 1.000e-02 eta: 1 day, 1:50:48 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.0500 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0640 loss: 3.0640 2022/06/27 18:15:35 - mmengine - INFO - Epoch(train) [3][420/3757] lr: 1.000e-02 eta: 1 day, 1:50:35 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 6.6040 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1556 loss: 3.1556 2022/06/27 18:15:41 - mmengine - INFO - Epoch(train) [3][440/3757] lr: 1.000e-02 eta: 1 day, 1:50:41 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9289 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8507 loss: 2.8507 2022/06/27 18:15:46 - mmengine - INFO - Epoch(train) [3][460/3757] lr: 1.000e-02 eta: 1 day, 1:50:59 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9059 loss: 2.9059 2022/06/27 18:15:51 - mmengine - INFO - Epoch(train) [3][480/3757] lr: 1.000e-02 eta: 1 day, 1:50:43 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.3170 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0618 loss: 3.0618 2022/06/27 18:15:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:15:56 - mmengine - INFO - Epoch(train) [3][500/3757] lr: 1.000e-02 eta: 1 day, 1:50:44 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.9586 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8222 loss: 2.8222 2022/06/27 18:16:02 - mmengine - INFO - Epoch(train) [3][520/3757] lr: 1.000e-02 eta: 1 day, 1:51:11 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.1108 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8965 loss: 2.8965 2022/06/27 18:16:07 - mmengine - INFO - Epoch(train) [3][540/3757] lr: 1.000e-02 eta: 1 day, 1:51:07 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.6836 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2823 loss: 3.2823 2022/06/27 18:16:13 - mmengine - INFO - Epoch(train) [3][560/3757] lr: 1.000e-02 eta: 1 day, 1:51:23 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.8408 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.8772 loss: 2.8772 2022/06/27 18:16:17 - mmengine - INFO - Epoch(train) [3][580/3757] lr: 1.000e-02 eta: 1 day, 1:51:09 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.4553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9115 loss: 2.9115 2022/06/27 18:16:23 - mmengine - INFO - Epoch(train) [3][600/3757] lr: 1.000e-02 eta: 1 day, 1:51:27 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.1171 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3663 loss: 3.3663 2022/06/27 18:16:29 - mmengine - INFO - Epoch(train) [3][620/3757] lr: 1.000e-02 eta: 1 day, 1:51:48 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0128 loss: 3.0128 2022/06/27 18:16:33 - mmengine - INFO - Epoch(train) [3][640/3757] lr: 1.000e-02 eta: 1 day, 1:51:28 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.7073 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3043 loss: 3.3043 2022/06/27 18:16:39 - mmengine - INFO - Epoch(train) [3][660/3757] lr: 1.000e-02 eta: 1 day, 1:51:42 time: 0.192 data_time: 0.016 memory: 5150 grad_norm: 6.0224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8077 loss: 2.8077 2022/06/27 18:16:44 - mmengine - INFO - Epoch(train) [3][680/3757] lr: 1.000e-02 eta: 1 day, 1:52:02 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7500 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3255 loss: 3.3255 2022/06/27 18:16:49 - mmengine - INFO - Epoch(train) [3][700/3757] lr: 1.000e-02 eta: 1 day, 1:51:49 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.6733 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7953 loss: 2.7953 2022/06/27 18:16:55 - mmengine - INFO - Epoch(train) [3][720/3757] lr: 1.000e-02 eta: 1 day, 1:51:57 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 6.4664 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1825 loss: 3.1825 2022/06/27 18:17:00 - mmengine - INFO - Epoch(train) [3][740/3757] lr: 1.000e-02 eta: 1 day, 1:52:16 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.2386 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2735 loss: 3.2735 2022/06/27 18:17:06 - mmengine - INFO - Epoch(train) [3][760/3757] lr: 1.000e-02 eta: 1 day, 1:52:38 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.0524 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0277 loss: 3.0277 2022/06/27 18:17:11 - mmengine - INFO - Epoch(train) [3][780/3757] lr: 1.000e-02 eta: 1 day, 1:52:19 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.4216 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2265 loss: 3.2265 2022/06/27 18:17:16 - mmengine - INFO - Epoch(train) [3][800/3757] lr: 1.000e-02 eta: 1 day, 1:52:31 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.5908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2197 loss: 3.2197 2022/06/27 18:17:22 - mmengine - INFO - Epoch(train) [3][820/3757] lr: 1.000e-02 eta: 1 day, 1:52:52 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 5.8703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.4776 loss: 3.4776 2022/06/27 18:17:27 - mmengine - INFO - Epoch(train) [3][840/3757] lr: 1.000e-02 eta: 1 day, 1:52:39 time: 0.262 data_time: 0.007 memory: 5150 grad_norm: 6.1261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1165 loss: 3.1165 2022/06/27 18:17:32 - mmengine - INFO - Epoch(train) [3][860/3757] lr: 1.000e-02 eta: 1 day, 1:52:29 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 5.6299 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0036 loss: 3.0036 2022/06/27 18:17:38 - mmengine - INFO - Epoch(train) [3][880/3757] lr: 1.000e-02 eta: 1 day, 1:53:31 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.1381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1184 loss: 3.1184 2022/06/27 18:17:42 - mmengine - INFO - Epoch(train) [3][900/3757] lr: 1.000e-02 eta: 1 day, 1:52:42 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.5143 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6213 loss: 2.6213 2022/06/27 18:17:48 - mmengine - INFO - Epoch(train) [3][920/3757] lr: 1.000e-02 eta: 1 day, 1:53:03 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.9237 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.1926 loss: 3.1926 2022/06/27 18:17:53 - mmengine - INFO - Epoch(train) [3][940/3757] lr: 1.000e-02 eta: 1 day, 1:52:57 time: 0.278 data_time: 0.019 memory: 5150 grad_norm: 6.4441 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3023 loss: 3.3023 2022/06/27 18:17:58 - mmengine - INFO - Epoch(train) [3][960/3757] lr: 1.000e-02 eta: 1 day, 1:52:44 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.2854 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7693 loss: 2.7693 2022/06/27 18:18:04 - mmengine - INFO - Epoch(train) [3][980/3757] lr: 1.000e-02 eta: 1 day, 1:53:18 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 6.2438 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3506 loss: 3.3506 2022/06/27 18:18:09 - mmengine - INFO - Epoch(train) [3][1000/3757] lr: 1.000e-02 eta: 1 day, 1:53:19 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.9607 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1114 loss: 3.1114 2022/06/27 18:18:15 - mmengine - INFO - Epoch(train) [3][1020/3757] lr: 1.000e-02 eta: 1 day, 1:53:24 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.7311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2496 loss: 3.2496 2022/06/27 18:18:20 - mmengine - INFO - Epoch(train) [3][1040/3757] lr: 1.000e-02 eta: 1 day, 1:53:45 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.0439 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.3975 loss: 3.3975 2022/06/27 18:18:25 - mmengine - INFO - Epoch(train) [3][1060/3757] lr: 1.000e-02 eta: 1 day, 1:53:33 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 5.5229 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9094 loss: 2.9094 2022/06/27 18:18:31 - mmengine - INFO - Epoch(train) [3][1080/3757] lr: 1.000e-02 eta: 1 day, 1:53:43 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.3312 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 3.1841 loss: 3.1841 2022/06/27 18:18:36 - mmengine - INFO - Epoch(train) [3][1100/3757] lr: 1.000e-02 eta: 1 day, 1:54:06 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 5.7911 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2229 loss: 3.2229 2022/06/27 18:18:42 - mmengine - INFO - Epoch(train) [3][1120/3757] lr: 1.000e-02 eta: 1 day, 1:54:19 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.2585 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8216 loss: 2.8216 2022/06/27 18:18:47 - mmengine - INFO - Epoch(train) [3][1140/3757] lr: 1.000e-02 eta: 1 day, 1:54:13 time: 0.486 data_time: 0.007 memory: 5150 grad_norm: 6.4920 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.0743 loss: 3.0743 2022/06/27 18:18:52 - mmengine - INFO - Epoch(train) [3][1160/3757] lr: 1.000e-02 eta: 1 day, 1:54:27 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 6.4375 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8803 loss: 2.8803 2022/06/27 18:18:58 - mmengine - INFO - Epoch(train) [3][1180/3757] lr: 1.000e-02 eta: 1 day, 1:54:48 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 6.0084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8290 loss: 2.8290 2022/06/27 18:19:03 - mmengine - INFO - Epoch(train) [3][1200/3757] lr: 1.000e-02 eta: 1 day, 1:54:22 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.4676 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6106 loss: 2.6106 2022/06/27 18:19:09 - mmengine - INFO - Epoch(train) [3][1220/3757] lr: 1.000e-02 eta: 1 day, 1:54:49 time: 0.222 data_time: 0.009 memory: 5150 grad_norm: 6.3529 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7649 loss: 2.7649 2022/06/27 18:19:14 - mmengine - INFO - Epoch(train) [3][1240/3757] lr: 1.000e-02 eta: 1 day, 1:54:46 time: 0.323 data_time: 0.017 memory: 5150 grad_norm: 6.0982 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9425 loss: 2.9425 2022/06/27 18:19:19 - mmengine - INFO - Epoch(train) [3][1260/3757] lr: 1.000e-02 eta: 1 day, 1:55:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6066 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0746 loss: 3.0746 2022/06/27 18:19:25 - mmengine - INFO - Epoch(train) [3][1280/3757] lr: 1.000e-02 eta: 1 day, 1:55:19 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.8857 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2147 loss: 3.2147 2022/06/27 18:19:30 - mmengine - INFO - Epoch(train) [3][1300/3757] lr: 1.000e-02 eta: 1 day, 1:55:07 time: 0.220 data_time: 0.016 memory: 5150 grad_norm: 5.9563 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7023 loss: 2.7023 2022/06/27 18:19:35 - mmengine - INFO - Epoch(train) [3][1320/3757] lr: 1.000e-02 eta: 1 day, 1:55:18 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.0891 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0633 loss: 3.0633 2022/06/27 18:19:41 - mmengine - INFO - Epoch(train) [3][1340/3757] lr: 1.000e-02 eta: 1 day, 1:55:56 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 6.4356 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9694 loss: 2.9694 2022/06/27 18:19:45 - mmengine - INFO - Epoch(train) [3][1360/3757] lr: 1.000e-02 eta: 1 day, 1:55:09 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.6578 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8807 loss: 2.8807 2022/06/27 18:19:51 - mmengine - INFO - Epoch(train) [3][1380/3757] lr: 1.000e-02 eta: 1 day, 1:55:25 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.3554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9735 loss: 2.9735 2022/06/27 18:19:57 - mmengine - INFO - Epoch(train) [3][1400/3757] lr: 1.000e-02 eta: 1 day, 1:55:38 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.7917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.3674 loss: 3.3674 2022/06/27 18:20:02 - mmengine - INFO - Epoch(train) [3][1420/3757] lr: 1.000e-02 eta: 1 day, 1:55:27 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.1976 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.9525 loss: 2.9525 2022/06/27 18:20:08 - mmengine - INFO - Epoch(train) [3][1440/3757] lr: 1.000e-02 eta: 1 day, 1:56:16 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 6.4955 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2236 loss: 3.2236 2022/06/27 18:20:13 - mmengine - INFO - Epoch(train) [3][1460/3757] lr: 1.000e-02 eta: 1 day, 1:56:02 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7347 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0315 loss: 3.0315 2022/06/27 18:20:18 - mmengine - INFO - Epoch(train) [3][1480/3757] lr: 1.000e-02 eta: 1 day, 1:56:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5073 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5503 loss: 2.5503 2022/06/27 18:20:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:20:23 - mmengine - INFO - Epoch(train) [3][1500/3757] lr: 1.000e-02 eta: 1 day, 1:56:00 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.9168 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9785 loss: 2.9785 2022/06/27 18:20:30 - mmengine - INFO - Epoch(train) [3][1520/3757] lr: 1.000e-02 eta: 1 day, 1:56:49 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 6.3183 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8461 loss: 2.8461 2022/06/27 18:20:34 - mmengine - INFO - Epoch(train) [3][1540/3757] lr: 1.000e-02 eta: 1 day, 1:56:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5224 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2565 loss: 3.2565 2022/06/27 18:20:40 - mmengine - INFO - Epoch(train) [3][1560/3757] lr: 1.000e-02 eta: 1 day, 1:56:44 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9160 loss: 2.9160 2022/06/27 18:20:45 - mmengine - INFO - Epoch(train) [3][1580/3757] lr: 1.000e-02 eta: 1 day, 1:56:52 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9173 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9579 loss: 2.9579 2022/06/27 18:20:50 - mmengine - INFO - Epoch(train) [3][1600/3757] lr: 1.000e-02 eta: 1 day, 1:56:33 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 6.5246 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7674 loss: 2.7674 2022/06/27 18:20:56 - mmengine - INFO - Epoch(train) [3][1620/3757] lr: 1.000e-02 eta: 1 day, 1:56:41 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.0880 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6865 loss: 2.6865 2022/06/27 18:21:01 - mmengine - INFO - Epoch(train) [3][1640/3757] lr: 1.000e-02 eta: 1 day, 1:56:49 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.3599 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8585 loss: 2.8585 2022/06/27 18:21:06 - mmengine - INFO - Epoch(train) [3][1660/3757] lr: 1.000e-02 eta: 1 day, 1:56:51 time: 0.585 data_time: 0.006 memory: 5150 grad_norm: 5.9654 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.9509 loss: 2.9509 2022/06/27 18:21:12 - mmengine - INFO - Epoch(train) [3][1680/3757] lr: 1.000e-02 eta: 1 day, 1:56:55 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.9347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0330 loss: 3.0330 2022/06/27 18:21:18 - mmengine - INFO - Epoch(train) [3][1700/3757] lr: 1.000e-02 eta: 1 day, 1:57:23 time: 0.224 data_time: 0.006 memory: 5150 grad_norm: 6.0591 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9384 loss: 2.9384 2022/06/27 18:21:23 - mmengine - INFO - Epoch(train) [3][1720/3757] lr: 1.000e-02 eta: 1 day, 1:57:13 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.7253 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3791 loss: 3.3791 2022/06/27 18:21:29 - mmengine - INFO - Epoch(train) [3][1740/3757] lr: 1.000e-02 eta: 1 day, 1:57:49 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2330 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9895 loss: 2.9895 2022/06/27 18:21:34 - mmengine - INFO - Epoch(train) [3][1760/3757] lr: 1.000e-02 eta: 1 day, 1:57:48 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 6.5584 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9354 loss: 2.9354 2022/06/27 18:21:39 - mmengine - INFO - Epoch(train) [3][1780/3757] lr: 1.000e-02 eta: 1 day, 1:57:43 time: 0.216 data_time: 0.006 memory: 5150 grad_norm: 6.0580 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0100 loss: 3.0100 2022/06/27 18:21:44 - mmengine - INFO - Epoch(train) [3][1800/3757] lr: 1.000e-02 eta: 1 day, 1:57:55 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.1567 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0073 loss: 3.0073 2022/06/27 18:21:50 - mmengine - INFO - Epoch(train) [3][1820/3757] lr: 1.000e-02 eta: 1 day, 1:58:09 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.2686 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8919 loss: 2.8919 2022/06/27 18:21:56 - mmengine - INFO - Epoch(train) [3][1840/3757] lr: 1.000e-02 eta: 1 day, 1:58:42 time: 1.000 data_time: 0.010 memory: 5150 grad_norm: 6.2027 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.7957 loss: 3.7957 2022/06/27 18:22:01 - mmengine - INFO - Epoch(train) [3][1860/3757] lr: 1.000e-02 eta: 1 day, 1:58:23 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5701 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2877 loss: 3.2877 2022/06/27 18:22:06 - mmengine - INFO - Epoch(train) [3][1880/3757] lr: 1.000e-02 eta: 1 day, 1:58:25 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.9032 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.1751 loss: 3.1751 2022/06/27 18:22:12 - mmengine - INFO - Epoch(train) [3][1900/3757] lr: 1.000e-02 eta: 1 day, 1:58:35 time: 0.882 data_time: 0.006 memory: 5150 grad_norm: 6.2797 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4900 loss: 3.4900 2022/06/27 18:22:17 - mmengine - INFO - Epoch(train) [3][1920/3757] lr: 1.000e-02 eta: 1 day, 1:58:35 time: 0.226 data_time: 0.009 memory: 5150 grad_norm: 5.9726 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0547 loss: 3.0547 2022/06/27 18:22:23 - mmengine - INFO - Epoch(train) [3][1940/3757] lr: 1.000e-02 eta: 1 day, 1:58:55 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 6.8543 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9058 loss: 2.9058 2022/06/27 18:22:28 - mmengine - INFO - Epoch(train) [3][1960/3757] lr: 1.000e-02 eta: 1 day, 1:58:42 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.8324 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7320 loss: 2.7320 2022/06/27 18:22:33 - mmengine - INFO - Epoch(train) [3][1980/3757] lr: 1.000e-02 eta: 1 day, 1:58:40 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.6622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0289 loss: 3.0289 2022/06/27 18:22:39 - mmengine - INFO - Epoch(train) [3][2000/3757] lr: 1.000e-02 eta: 1 day, 1:59:27 time: 0.225 data_time: 0.013 memory: 5150 grad_norm: 5.6715 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2320 loss: 3.2320 2022/06/27 18:22:43 - mmengine - INFO - Epoch(train) [3][2020/3757] lr: 1.000e-02 eta: 1 day, 1:58:42 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 6.2824 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2405 loss: 3.2405 2022/06/27 18:22:49 - mmengine - INFO - Epoch(train) [3][2040/3757] lr: 1.000e-02 eta: 1 day, 1:59:11 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 6.3194 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.5025 loss: 3.5025 2022/06/27 18:22:55 - mmengine - INFO - Epoch(train) [3][2060/3757] lr: 1.000e-02 eta: 1 day, 1:59:10 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 6.0685 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8832 loss: 2.8832 2022/06/27 18:22:59 - mmengine - INFO - Epoch(train) [3][2080/3757] lr: 1.000e-02 eta: 1 day, 1:58:40 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.2365 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9536 loss: 2.9536 2022/06/27 18:23:04 - mmengine - INFO - Epoch(train) [3][2100/3757] lr: 1.000e-02 eta: 1 day, 1:58:22 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7994 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9931 loss: 2.9931 2022/06/27 18:23:09 - mmengine - INFO - Epoch(train) [3][2120/3757] lr: 1.000e-02 eta: 1 day, 1:58:20 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.4911 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5537 loss: 2.5537 2022/06/27 18:23:14 - mmengine - INFO - Epoch(train) [3][2140/3757] lr: 1.000e-02 eta: 1 day, 1:58:22 time: 0.579 data_time: 0.010 memory: 5150 grad_norm: 6.0639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9923 loss: 2.9923 2022/06/27 18:23:20 - mmengine - INFO - Epoch(train) [3][2160/3757] lr: 1.000e-02 eta: 1 day, 1:58:24 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9857 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.1434 loss: 3.1434 2022/06/27 18:23:25 - mmengine - INFO - Epoch(train) [3][2180/3757] lr: 1.000e-02 eta: 1 day, 1:58:31 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 5.9138 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7253 loss: 2.7253 2022/06/27 18:23:30 - mmengine - INFO - Epoch(train) [3][2200/3757] lr: 1.000e-02 eta: 1 day, 1:58:33 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.4750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7080 loss: 2.7080 2022/06/27 18:23:36 - mmengine - INFO - Epoch(train) [3][2220/3757] lr: 1.000e-02 eta: 1 day, 1:58:33 time: 0.392 data_time: 0.007 memory: 5150 grad_norm: 5.7544 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.9523 loss: 2.9523 2022/06/27 18:23:41 - mmengine - INFO - Epoch(train) [3][2240/3757] lr: 1.000e-02 eta: 1 day, 1:58:44 time: 0.628 data_time: 0.026 memory: 5150 grad_norm: 6.2505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.7696 loss: 2.7696 2022/06/27 18:23:46 - mmengine - INFO - Epoch(train) [3][2260/3757] lr: 1.000e-02 eta: 1 day, 1:58:46 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0928 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8649 loss: 2.8649 2022/06/27 18:23:52 - mmengine - INFO - Epoch(train) [3][2280/3757] lr: 1.000e-02 eta: 1 day, 1:59:04 time: 0.687 data_time: 0.007 memory: 5150 grad_norm: 5.7084 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.1015 loss: 3.1015 2022/06/27 18:23:57 - mmengine - INFO - Epoch(train) [3][2300/3757] lr: 1.000e-02 eta: 1 day, 1:58:57 time: 0.298 data_time: 0.032 memory: 5150 grad_norm: 6.0057 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9641 loss: 2.9641 2022/06/27 18:24:03 - mmengine - INFO - Epoch(train) [3][2320/3757] lr: 1.000e-02 eta: 1 day, 1:59:15 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.1062 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7176 loss: 2.7176 2022/06/27 18:24:09 - mmengine - INFO - Epoch(train) [3][2340/3757] lr: 1.000e-02 eta: 1 day, 1:59:42 time: 0.983 data_time: 0.007 memory: 5150 grad_norm: 5.9850 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6642 loss: 2.6642 2022/06/27 18:24:13 - mmengine - INFO - Epoch(train) [3][2360/3757] lr: 1.000e-02 eta: 1 day, 1:59:15 time: 0.214 data_time: 0.023 memory: 5150 grad_norm: 5.4293 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8015 loss: 2.8015 2022/06/27 18:24:19 - mmengine - INFO - Epoch(train) [3][2380/3757] lr: 1.000e-02 eta: 1 day, 1:59:32 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7451 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8758 loss: 2.8758 2022/06/27 18:24:24 - mmengine - INFO - Epoch(train) [3][2400/3757] lr: 1.000e-02 eta: 1 day, 1:59:33 time: 0.537 data_time: 0.007 memory: 5150 grad_norm: 6.3952 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9730 loss: 2.9730 2022/06/27 18:24:29 - mmengine - INFO - Epoch(train) [3][2420/3757] lr: 1.000e-02 eta: 1 day, 1:59:21 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.7736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1097 loss: 3.1097 2022/06/27 18:24:35 - mmengine - INFO - Epoch(train) [3][2440/3757] lr: 1.000e-02 eta: 1 day, 1:59:35 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.9996 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8769 loss: 2.8769 2022/06/27 18:24:40 - mmengine - INFO - Epoch(train) [3][2460/3757] lr: 1.000e-02 eta: 1 day, 1:59:42 time: 0.662 data_time: 0.008 memory: 5150 grad_norm: 6.4797 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2150 loss: 3.2150 2022/06/27 18:24:46 - mmengine - INFO - Epoch(train) [3][2480/3757] lr: 1.000e-02 eta: 1 day, 1:59:42 time: 0.214 data_time: 0.025 memory: 5150 grad_norm: 6.2530 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.5656 loss: 3.5656 2022/06/27 18:24:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:24:51 - mmengine - INFO - Epoch(train) [3][2500/3757] lr: 1.000e-02 eta: 1 day, 1:59:50 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 6.1923 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3470 loss: 3.3470 2022/06/27 18:24:57 - mmengine - INFO - Epoch(train) [3][2520/3757] lr: 1.000e-02 eta: 1 day, 2:00:01 time: 0.994 data_time: 0.010 memory: 5150 grad_norm: 6.3141 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5180 loss: 2.5180 2022/06/27 18:25:02 - mmengine - INFO - Epoch(train) [3][2540/3757] lr: 1.000e-02 eta: 1 day, 2:00:07 time: 0.217 data_time: 0.021 memory: 5150 grad_norm: 6.4172 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1401 loss: 3.1401 2022/06/27 18:25:08 - mmengine - INFO - Epoch(train) [3][2560/3757] lr: 1.000e-02 eta: 1 day, 2:00:28 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.2714 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1731 loss: 3.1731 2022/06/27 18:25:13 - mmengine - INFO - Epoch(train) [3][2580/3757] lr: 1.000e-02 eta: 1 day, 2:00:21 time: 0.759 data_time: 0.007 memory: 5150 grad_norm: 6.2700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 3.2123 loss: 3.2123 2022/06/27 18:25:18 - mmengine - INFO - Epoch(train) [3][2600/3757] lr: 1.000e-02 eta: 1 day, 2:00:16 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 5.8071 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8432 loss: 2.8432 2022/06/27 18:25:23 - mmengine - INFO - Epoch(train) [3][2620/3757] lr: 1.000e-02 eta: 1 day, 2:00:12 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.8298 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5001 loss: 2.5001 2022/06/27 18:25:29 - mmengine - INFO - Epoch(train) [3][2640/3757] lr: 1.000e-02 eta: 1 day, 2:00:43 time: 0.758 data_time: 0.007 memory: 5150 grad_norm: 6.4553 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0532 loss: 3.0532 2022/06/27 18:25:34 - mmengine - INFO - Epoch(train) [3][2660/3757] lr: 1.000e-02 eta: 1 day, 2:00:05 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7192 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8027 loss: 2.8027 2022/06/27 18:25:39 - mmengine - INFO - Epoch(train) [3][2680/3757] lr: 1.000e-02 eta: 1 day, 2:00:13 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9181 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6198 loss: 2.6198 2022/06/27 18:25:45 - mmengine - INFO - Epoch(train) [3][2700/3757] lr: 1.000e-02 eta: 1 day, 2:00:23 time: 0.954 data_time: 0.007 memory: 5150 grad_norm: 6.5744 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8042 loss: 2.8042 2022/06/27 18:25:50 - mmengine - INFO - Epoch(train) [3][2720/3757] lr: 1.000e-02 eta: 1 day, 2:00:16 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 5.5398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7174 loss: 2.7174 2022/06/27 18:25:55 - mmengine - INFO - Epoch(train) [3][2740/3757] lr: 1.000e-02 eta: 1 day, 2:00:20 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.7958 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7933 loss: 2.7933 2022/06/27 18:26:00 - mmengine - INFO - Epoch(train) [3][2760/3757] lr: 1.000e-02 eta: 1 day, 2:00:14 time: 0.334 data_time: 0.007 memory: 5150 grad_norm: 5.9239 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8924 loss: 2.8924 2022/06/27 18:26:05 - mmengine - INFO - Epoch(train) [3][2780/3757] lr: 1.000e-02 eta: 1 day, 1:59:54 time: 0.187 data_time: 0.017 memory: 5150 grad_norm: 6.5920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.2222 loss: 3.2222 2022/06/27 18:26:11 - mmengine - INFO - Epoch(train) [3][2800/3757] lr: 1.000e-02 eta: 1 day, 2:00:12 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.9537 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9627 loss: 2.9627 2022/06/27 18:26:16 - mmengine - INFO - Epoch(train) [3][2820/3757] lr: 1.000e-02 eta: 1 day, 2:00:08 time: 0.593 data_time: 0.010 memory: 5150 grad_norm: 5.9780 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6161 loss: 2.6161 2022/06/27 18:26:21 - mmengine - INFO - Epoch(train) [3][2840/3757] lr: 1.000e-02 eta: 1 day, 2:00:03 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.9975 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9999 loss: 2.9999 2022/06/27 18:26:26 - mmengine - INFO - Epoch(train) [3][2860/3757] lr: 1.000e-02 eta: 1 day, 2:00:03 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.4374 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9176 loss: 2.9176 2022/06/27 18:26:32 - mmengine - INFO - Epoch(train) [3][2880/3757] lr: 1.000e-02 eta: 1 day, 2:00:30 time: 1.424 data_time: 0.007 memory: 5150 grad_norm: 5.5391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.0567 loss: 3.0567 2022/06/27 18:26:37 - mmengine - INFO - Epoch(train) [3][2900/3757] lr: 1.000e-02 eta: 1 day, 1:59:58 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.6986 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1970 loss: 3.1970 2022/06/27 18:26:42 - mmengine - INFO - Epoch(train) [3][2920/3757] lr: 1.000e-02 eta: 1 day, 2:00:06 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.7577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8330 loss: 2.8330 2022/06/27 18:26:49 - mmengine - INFO - Epoch(train) [3][2940/3757] lr: 1.000e-02 eta: 1 day, 2:00:44 time: 1.366 data_time: 0.010 memory: 5150 grad_norm: 5.7132 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2324 loss: 3.2324 2022/06/27 18:26:53 - mmengine - INFO - Epoch(train) [3][2960/3757] lr: 1.000e-02 eta: 1 day, 2:00:12 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.9354 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3160 loss: 3.3160 2022/06/27 18:26:59 - mmengine - INFO - Epoch(train) [3][2980/3757] lr: 1.000e-02 eta: 1 day, 2:00:53 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0796 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0060 loss: 3.0060 2022/06/27 18:27:04 - mmengine - INFO - Epoch(train) [3][3000/3757] lr: 1.000e-02 eta: 1 day, 2:00:18 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0102 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2499 loss: 3.2499 2022/06/27 18:27:08 - mmengine - INFO - Epoch(train) [3][3020/3757] lr: 1.000e-02 eta: 1 day, 1:59:55 time: 0.343 data_time: 0.143 memory: 5150 grad_norm: 6.0083 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1136 loss: 3.1136 2022/06/27 18:27:13 - mmengine - INFO - Epoch(train) [3][3040/3757] lr: 1.000e-02 eta: 1 day, 1:59:44 time: 0.399 data_time: 0.006 memory: 5150 grad_norm: 5.7030 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8014 loss: 2.8014 2022/06/27 18:27:19 - mmengine - INFO - Epoch(train) [3][3060/3757] lr: 1.000e-02 eta: 1 day, 2:00:12 time: 0.191 data_time: 0.013 memory: 5150 grad_norm: 5.9214 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.3385 loss: 3.3385 2022/06/27 18:27:24 - mmengine - INFO - Epoch(train) [3][3080/3757] lr: 1.000e-02 eta: 1 day, 1:59:51 time: 0.406 data_time: 0.006 memory: 5150 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9295 loss: 2.9295 2022/06/27 18:27:30 - mmengine - INFO - Epoch(train) [3][3100/3757] lr: 1.000e-02 eta: 1 day, 2:00:07 time: 0.806 data_time: 0.006 memory: 5150 grad_norm: 5.9165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.1519 loss: 3.1519 2022/06/27 18:27:35 - mmengine - INFO - Epoch(train) [3][3120/3757] lr: 1.000e-02 eta: 1 day, 2:00:13 time: 0.745 data_time: 0.008 memory: 5150 grad_norm: 6.0146 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2854 loss: 3.2854 2022/06/27 18:27:40 - mmengine - INFO - Epoch(train) [3][3140/3757] lr: 1.000e-02 eta: 1 day, 2:00:12 time: 0.631 data_time: 0.006 memory: 5150 grad_norm: 6.0227 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9005 loss: 2.9005 2022/06/27 18:27:46 - mmengine - INFO - Epoch(train) [3][3160/3757] lr: 1.000e-02 eta: 1 day, 2:00:13 time: 0.467 data_time: 0.006 memory: 5150 grad_norm: 5.9444 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7564 loss: 2.7564 2022/06/27 18:27:51 - mmengine - INFO - Epoch(train) [3][3180/3757] lr: 1.000e-02 eta: 1 day, 2:00:06 time: 0.190 data_time: 0.012 memory: 5150 grad_norm: 6.1400 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7795 loss: 2.7795 2022/06/27 18:27:57 - mmengine - INFO - Epoch(train) [3][3200/3757] lr: 1.000e-02 eta: 1 day, 2:00:27 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 6.1316 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5575 loss: 2.5575 2022/06/27 18:28:02 - mmengine - INFO - Epoch(train) [3][3220/3757] lr: 1.000e-02 eta: 1 day, 2:00:41 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 6.4809 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7017 loss: 2.7017 2022/06/27 18:28:07 - mmengine - INFO - Epoch(train) [3][3240/3757] lr: 1.000e-02 eta: 1 day, 2:00:22 time: 0.202 data_time: 0.026 memory: 5150 grad_norm: 6.1572 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.2204 loss: 3.2204 2022/06/27 18:28:13 - mmengine - INFO - Epoch(train) [3][3260/3757] lr: 1.000e-02 eta: 1 day, 2:00:37 time: 0.220 data_time: 0.006 memory: 5150 grad_norm: 5.7642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.6151 loss: 3.6151 2022/06/27 18:28:19 - mmengine - INFO - Epoch(train) [3][3280/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.7099 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1360 loss: 3.1360 2022/06/27 18:28:23 - mmengine - INFO - Epoch(train) [3][3300/3757] lr: 1.000e-02 eta: 1 day, 2:00:36 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 5.6470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3601 loss: 2.3601 2022/06/27 18:28:29 - mmengine - INFO - Epoch(train) [3][3320/3757] lr: 1.000e-02 eta: 1 day, 2:00:44 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.6054 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2589 loss: 3.2589 2022/06/27 18:28:34 - mmengine - INFO - Epoch(train) [3][3340/3757] lr: 1.000e-02 eta: 1 day, 2:00:51 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.9591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8130 loss: 2.8130 2022/06/27 18:28:39 - mmengine - INFO - Epoch(train) [3][3360/3757] lr: 1.000e-02 eta: 1 day, 2:00:45 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 6.8310 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7038 loss: 2.7038 2022/06/27 18:28:45 - mmengine - INFO - Epoch(train) [3][3380/3757] lr: 1.000e-02 eta: 1 day, 2:00:54 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.5582 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.1678 loss: 3.1678 2022/06/27 18:28:51 - mmengine - INFO - Epoch(train) [3][3400/3757] lr: 1.000e-02 eta: 1 day, 2:01:05 time: 0.196 data_time: 0.024 memory: 5150 grad_norm: 6.5651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9446 loss: 2.9446 2022/06/27 18:28:55 - mmengine - INFO - Epoch(train) [3][3420/3757] lr: 1.000e-02 eta: 1 day, 2:00:43 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 5.1218 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9141 loss: 2.9141 2022/06/27 18:29:01 - mmengine - INFO - Epoch(train) [3][3440/3757] lr: 1.000e-02 eta: 1 day, 2:01:09 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1979 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7581 loss: 2.7581 2022/06/27 18:29:07 - mmengine - INFO - Epoch(train) [3][3460/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.222 data_time: 0.028 memory: 5150 grad_norm: 6.1917 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6994 loss: 2.6994 2022/06/27 18:29:11 - mmengine - INFO - Epoch(train) [3][3480/3757] lr: 1.000e-02 eta: 1 day, 2:00:52 time: 0.194 data_time: 0.019 memory: 5150 grad_norm: 5.6696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8880 loss: 2.8880 2022/06/27 18:29:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:29:17 - mmengine - INFO - Epoch(train) [3][3500/3757] lr: 1.000e-02 eta: 1 day, 2:01:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.8779 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1501 loss: 3.1501 2022/06/27 18:29:23 - mmengine - INFO - Epoch(train) [3][3520/3757] lr: 1.000e-02 eta: 1 day, 2:01:22 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 6.4716 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9724 loss: 2.9724 2022/06/27 18:29:28 - mmengine - INFO - Epoch(train) [3][3540/3757] lr: 1.000e-02 eta: 1 day, 2:01:23 time: 0.427 data_time: 0.021 memory: 5150 grad_norm: 5.5990 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7727 loss: 2.7727 2022/06/27 18:29:33 - mmengine - INFO - Epoch(train) [3][3560/3757] lr: 1.000e-02 eta: 1 day, 2:01:08 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.4184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9103 loss: 2.9103 2022/06/27 18:29:39 - mmengine - INFO - Epoch(train) [3][3580/3757] lr: 1.000e-02 eta: 1 day, 2:01:30 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.9943 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7308 loss: 2.7308 2022/06/27 18:29:43 - mmengine - INFO - Epoch(train) [3][3600/3757] lr: 1.000e-02 eta: 1 day, 2:00:53 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.4518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9219 loss: 2.9219 2022/06/27 18:29:49 - mmengine - INFO - Epoch(train) [3][3620/3757] lr: 1.000e-02 eta: 1 day, 2:01:12 time: 0.373 data_time: 0.006 memory: 5150 grad_norm: 5.5663 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8667 loss: 2.8667 2022/06/27 18:29:54 - mmengine - INFO - Epoch(train) [3][3640/3757] lr: 1.000e-02 eta: 1 day, 2:01:03 time: 0.203 data_time: 0.029 memory: 5150 grad_norm: 6.2384 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8060 loss: 2.8060 2022/06/27 18:30:00 - mmengine - INFO - Epoch(train) [3][3660/3757] lr: 1.000e-02 eta: 1 day, 2:01:16 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.7932 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8868 loss: 2.8868 2022/06/27 18:30:06 - mmengine - INFO - Epoch(train) [3][3680/3757] lr: 1.000e-02 eta: 1 day, 2:01:39 time: 1.000 data_time: 0.009 memory: 5150 grad_norm: 5.8500 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1693 loss: 3.1693 2022/06/27 18:30:11 - mmengine - INFO - Epoch(train) [3][3700/3757] lr: 1.000e-02 eta: 1 day, 2:01:27 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.6699 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5586 loss: 2.5586 2022/06/27 18:30:16 - mmengine - INFO - Epoch(train) [3][3720/3757] lr: 1.000e-02 eta: 1 day, 2:01:37 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 6.6540 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.2210 loss: 3.2210 2022/06/27 18:30:21 - mmengine - INFO - Epoch(train) [3][3740/3757] lr: 1.000e-02 eta: 1 day, 2:01:27 time: 0.597 data_time: 0.007 memory: 5150 grad_norm: 5.9517 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9291 loss: 2.9291 2022/06/27 18:30:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:30:59 - mmengine - INFO - Epoch(val) [3][20/310] eta: 0:05:39 time: 1.085 data_time: 0.446 memory: 9746 2022/06/27 18:31:20 - mmengine - INFO - Epoch(val) [3][40/310] eta: 0:05:06 time: 0.988 data_time: 0.347 memory: 9746 2022/06/27 18:31:44 - mmengine - INFO - Epoch(val) [3][60/310] eta: 0:04:32 time: 1.174 data_time: 0.517 memory: 9746 2022/06/27 18:32:08 - mmengine - INFO - Epoch(val) [3][80/310] eta: 0:04:55 time: 1.109 data_time: 0.461 memory: 9746 2022/06/27 18:32:30 - mmengine - INFO - Epoch(val) [3][100/310] eta: 0:04:02 time: 1.915 data_time: 1.259 memory: 9746 2022/06/27 18:32:52 - mmengine - INFO - Epoch(val) [3][120/310] eta: 0:03:25 time: 1.204 data_time: 0.552 memory: 9746 2022/06/27 18:33:16 - mmengine - INFO - Epoch(val) [3][140/310] eta: 0:03:20 time: 1.094 data_time: 0.440 memory: 9746 2022/06/27 18:33:41 - mmengine - INFO - Epoch(val) [3][160/310] eta: 0:03:20 time: 4.161 data_time: 3.485 memory: 9746 2022/06/27 18:34:04 - mmengine - INFO - Epoch(val) [3][180/310] eta: 0:02:48 time: 1.102 data_time: 0.444 memory: 9746 2022/06/27 18:34:26 - mmengine - INFO - Epoch(val) [3][200/310] eta: 0:02:01 time: 1.115 data_time: 0.470 memory: 9746 2022/06/27 18:34:47 - mmengine - INFO - Epoch(val) [3][220/310] eta: 0:01:35 time: 1.034 data_time: 0.379 memory: 9746 2022/06/27 18:35:09 - mmengine - INFO - Epoch(val) [3][240/310] eta: 0:01:14 time: 0.872 data_time: 0.206 memory: 9746 2022/06/27 18:35:31 - mmengine - INFO - Epoch(val) [3][260/310] eta: 0:00:56 time: 1.047 data_time: 0.396 memory: 9746 2022/06/27 18:35:55 - mmengine - INFO - Epoch(val) [3][280/310] eta: 0:00:34 time: 1.575 data_time: 0.942 memory: 9746 2022/06/27 18:36:15 - mmengine - INFO - Epoch(val) [3][300/310] eta: 0:00:09 time: 0.660 data_time: 0.078 memory: 9746 2022/06/27 18:36:27 - mmengine - INFO - Epoch(val) [3][310/310] acc/top1: 0.4151 acc/top5: 0.6934 acc/mean1: 0.4149 2022/06/27 18:36:35 - mmengine - INFO - Epoch(train) [4][20/3757] lr: 1.000e-02 eta: 1 day, 2:01:34 time: 0.192 data_time: 0.007 memory: 9746 grad_norm: 5.4471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8364 loss: 2.8364 2022/06/27 18:36:41 - mmengine - INFO - Epoch(train) [4][40/3757] lr: 1.000e-02 eta: 1 day, 2:01:49 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 6.2721 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1892 loss: 3.1892 2022/06/27 18:36:46 - mmengine - INFO - Epoch(train) [4][60/3757] lr: 1.000e-02 eta: 1 day, 2:01:39 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.4542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8599 loss: 2.8599 2022/06/27 18:36:52 - mmengine - INFO - Epoch(train) [4][80/3757] lr: 1.000e-02 eta: 1 day, 2:02:06 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6318 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9300 loss: 2.9300 2022/06/27 18:36:57 - mmengine - INFO - Epoch(train) [4][100/3757] lr: 1.000e-02 eta: 1 day, 2:02:09 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.3585 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.0879 loss: 3.0879 2022/06/27 18:37:02 - mmengine - INFO - Epoch(train) [4][120/3757] lr: 1.000e-02 eta: 1 day, 2:02:08 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.4794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0317 loss: 3.0317 2022/06/27 18:37:08 - mmengine - INFO - Epoch(train) [4][140/3757] lr: 1.000e-02 eta: 1 day, 2:02:15 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1953 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0417 loss: 3.0417 2022/06/27 18:37:14 - mmengine - INFO - Epoch(train) [4][160/3757] lr: 1.000e-02 eta: 1 day, 2:02:25 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8039 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6200 loss: 2.6200 2022/06/27 18:37:18 - mmengine - INFO - Epoch(train) [4][180/3757] lr: 1.000e-02 eta: 1 day, 2:02:03 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 5.9112 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2688 loss: 3.2688 2022/06/27 18:37:24 - mmengine - INFO - Epoch(train) [4][200/3757] lr: 1.000e-02 eta: 1 day, 2:02:16 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0758 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0922 loss: 3.0922 2022/06/27 18:37:29 - mmengine - INFO - Epoch(train) [4][220/3757] lr: 1.000e-02 eta: 1 day, 2:02:22 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2031 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6788 loss: 2.6788 2022/06/27 18:37:34 - mmengine - INFO - Epoch(train) [4][240/3757] lr: 1.000e-02 eta: 1 day, 2:02:08 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1390 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8078 loss: 2.8078 2022/06/27 18:37:41 - mmengine - INFO - Epoch(train) [4][260/3757] lr: 1.000e-02 eta: 1 day, 2:02:39 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7468 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0164 loss: 3.0164 2022/06/27 18:37:45 - mmengine - INFO - Epoch(train) [4][280/3757] lr: 1.000e-02 eta: 1 day, 2:02:15 time: 0.189 data_time: 0.010 memory: 5150 grad_norm: 5.7632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7113 loss: 2.7113 2022/06/27 18:37:50 - mmengine - INFO - Epoch(train) [4][300/3757] lr: 1.000e-02 eta: 1 day, 2:01:54 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.9985 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8110 loss: 2.8110 2022/06/27 18:37:55 - mmengine - INFO - Epoch(train) [4][320/3757] lr: 1.000e-02 eta: 1 day, 2:01:48 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 6.2686 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5677 loss: 2.5677 2022/06/27 18:38:01 - mmengine - INFO - Epoch(train) [4][340/3757] lr: 1.000e-02 eta: 1 day, 2:02:05 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.2195 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 3.1790 loss: 3.1790 2022/06/27 18:38:06 - mmengine - INFO - Epoch(train) [4][360/3757] lr: 1.000e-02 eta: 1 day, 2:01:48 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.4399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1505 loss: 3.1505 2022/06/27 18:38:11 - mmengine - INFO - Epoch(train) [4][380/3757] lr: 1.000e-02 eta: 1 day, 2:02:06 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.1930 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1333 loss: 3.1333 2022/06/27 18:38:17 - mmengine - INFO - Epoch(train) [4][400/3757] lr: 1.000e-02 eta: 1 day, 2:02:10 time: 0.189 data_time: 0.010 memory: 5150 grad_norm: 5.6600 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4773 loss: 2.4773 2022/06/27 18:38:22 - mmengine - INFO - Epoch(train) [4][420/3757] lr: 1.000e-02 eta: 1 day, 2:02:06 time: 0.194 data_time: 0.019 memory: 5150 grad_norm: 5.8418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0151 loss: 3.0151 2022/06/27 18:38:27 - mmengine - INFO - Epoch(train) [4][440/3757] lr: 1.000e-02 eta: 1 day, 2:02:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6475 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8143 loss: 2.8143 2022/06/27 18:38:33 - mmengine - INFO - Epoch(train) [4][460/3757] lr: 1.000e-02 eta: 1 day, 2:02:03 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.3698 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6268 loss: 2.6268 2022/06/27 18:38:38 - mmengine - INFO - Epoch(train) [4][480/3757] lr: 1.000e-02 eta: 1 day, 2:02:10 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 5.7109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6407 loss: 2.6407 2022/06/27 18:38:44 - mmengine - INFO - Epoch(train) [4][500/3757] lr: 1.000e-02 eta: 1 day, 2:02:31 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.2915 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9832 loss: 2.9832 2022/06/27 18:38:49 - mmengine - INFO - Epoch(train) [4][520/3757] lr: 1.000e-02 eta: 1 day, 2:02:14 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.1374 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.1456 loss: 3.1456 2022/06/27 18:38:54 - mmengine - INFO - Epoch(train) [4][540/3757] lr: 1.000e-02 eta: 1 day, 2:02:21 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.3001 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8430 loss: 2.8430 2022/06/27 18:39:00 - mmengine - INFO - Epoch(train) [4][560/3757] lr: 1.000e-02 eta: 1 day, 2:02:38 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 6.2928 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6981 loss: 2.6981 2022/06/27 18:39:05 - mmengine - INFO - Epoch(train) [4][580/3757] lr: 1.000e-02 eta: 1 day, 2:02:20 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.8102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1776 loss: 3.1776 2022/06/27 18:39:10 - mmengine - INFO - Epoch(train) [4][600/3757] lr: 1.000e-02 eta: 1 day, 2:02:14 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 6.2441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6883 loss: 2.6883 2022/06/27 18:39:16 - mmengine - INFO - Epoch(train) [4][620/3757] lr: 1.000e-02 eta: 1 day, 2:02:14 time: 0.198 data_time: 0.023 memory: 5150 grad_norm: 5.3760 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.3640 loss: 3.3640 2022/06/27 18:39:21 - mmengine - INFO - Epoch(train) [4][640/3757] lr: 1.000e-02 eta: 1 day, 2:02:27 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.8267 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7894 loss: 2.7894 2022/06/27 18:39:26 - mmengine - INFO - Epoch(train) [4][660/3757] lr: 1.000e-02 eta: 1 day, 2:02:12 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 6.0154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4267 loss: 2.4267 2022/06/27 18:39:31 - mmengine - INFO - Epoch(train) [4][680/3757] lr: 1.000e-02 eta: 1 day, 2:02:09 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 6.7035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8093 loss: 2.8093 2022/06/27 18:39:37 - mmengine - INFO - Epoch(train) [4][700/3757] lr: 1.000e-02 eta: 1 day, 2:02:15 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.7546 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1912 loss: 3.1912 2022/06/27 18:39:43 - mmengine - INFO - Epoch(train) [4][720/3757] lr: 1.000e-02 eta: 1 day, 2:02:51 time: 0.224 data_time: 0.015 memory: 5150 grad_norm: 5.8909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6217 loss: 2.6217 2022/06/27 18:39:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:39:47 - mmengine - INFO - Epoch(train) [4][740/3757] lr: 1.000e-02 eta: 1 day, 2:02:13 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.7785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3932 loss: 2.3932 2022/06/27 18:39:52 - mmengine - INFO - Epoch(train) [4][760/3757] lr: 1.000e-02 eta: 1 day, 2:01:43 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7124 loss: 2.7124 2022/06/27 18:39:57 - mmengine - INFO - Epoch(train) [4][780/3757] lr: 1.000e-02 eta: 1 day, 2:01:35 time: 0.398 data_time: 0.006 memory: 5150 grad_norm: 6.0841 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8010 loss: 2.8010 2022/06/27 18:40:02 - mmengine - INFO - Epoch(train) [4][800/3757] lr: 1.000e-02 eta: 1 day, 2:01:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5184 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8798 loss: 2.8798 2022/06/27 18:40:08 - mmengine - INFO - Epoch(train) [4][820/3757] lr: 1.000e-02 eta: 1 day, 2:02:02 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3995 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.2181 loss: 3.2181 2022/06/27 18:40:14 - mmengine - INFO - Epoch(train) [4][840/3757] lr: 1.000e-02 eta: 1 day, 2:02:03 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 6.1129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8889 loss: 2.8889 2022/06/27 18:40:21 - mmengine - INFO - Epoch(train) [4][860/3757] lr: 1.000e-02 eta: 1 day, 2:02:53 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 5.7319 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9550 loss: 2.9550 2022/06/27 18:40:25 - mmengine - INFO - Epoch(train) [4][880/3757] lr: 1.000e-02 eta: 1 day, 2:02:15 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4683 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2470 loss: 3.2470 2022/06/27 18:40:29 - mmengine - INFO - Epoch(train) [4][900/3757] lr: 1.000e-02 eta: 1 day, 2:01:42 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.3374 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.7723 loss: 2.7723 2022/06/27 18:40:35 - mmengine - INFO - Epoch(train) [4][920/3757] lr: 1.000e-02 eta: 1 day, 2:01:51 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7636 loss: 2.7636 2022/06/27 18:40:40 - mmengine - INFO - Epoch(train) [4][940/3757] lr: 1.000e-02 eta: 1 day, 2:01:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.4817 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4549 loss: 2.4549 2022/06/27 18:40:45 - mmengine - INFO - Epoch(train) [4][960/3757] lr: 1.000e-02 eta: 1 day, 2:01:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9498 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6748 loss: 2.6748 2022/06/27 18:40:51 - mmengine - INFO - Epoch(train) [4][980/3757] lr: 1.000e-02 eta: 1 day, 2:02:02 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8276 loss: 2.8276 2022/06/27 18:40:56 - mmengine - INFO - Epoch(train) [4][1000/3757] lr: 1.000e-02 eta: 1 day, 2:01:42 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.3285 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4809 loss: 2.4809 2022/06/27 18:41:02 - mmengine - INFO - Epoch(train) [4][1020/3757] lr: 1.000e-02 eta: 1 day, 2:02:02 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9767 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7954 loss: 2.7954 2022/06/27 18:41:07 - mmengine - INFO - Epoch(train) [4][1040/3757] lr: 1.000e-02 eta: 1 day, 2:02:10 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.0825 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7319 loss: 2.7319 2022/06/27 18:41:12 - mmengine - INFO - Epoch(train) [4][1060/3757] lr: 1.000e-02 eta: 1 day, 2:02:02 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1058 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8544 loss: 2.8544 2022/06/27 18:41:18 - mmengine - INFO - Epoch(train) [4][1080/3757] lr: 1.000e-02 eta: 1 day, 2:02:03 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.9098 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3697 loss: 3.3697 2022/06/27 18:41:23 - mmengine - INFO - Epoch(train) [4][1100/3757] lr: 1.000e-02 eta: 1 day, 2:02:14 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9205 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0520 loss: 3.0520 2022/06/27 18:41:28 - mmengine - INFO - Epoch(train) [4][1120/3757] lr: 1.000e-02 eta: 1 day, 2:02:05 time: 0.188 data_time: 0.007 memory: 5150 grad_norm: 5.9388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6624 loss: 2.6624 2022/06/27 18:41:34 - mmengine - INFO - Epoch(train) [4][1140/3757] lr: 1.000e-02 eta: 1 day, 2:01:58 time: 0.188 data_time: 0.006 memory: 5150 grad_norm: 6.1558 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6578 loss: 2.6578 2022/06/27 18:41:41 - mmengine - INFO - Epoch(train) [4][1160/3757] lr: 1.000e-02 eta: 1 day, 2:03:08 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.2056 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6907 loss: 2.6907 2022/06/27 18:41:45 - mmengine - INFO - Epoch(train) [4][1180/3757] lr: 1.000e-02 eta: 1 day, 2:02:29 time: 0.192 data_time: 0.016 memory: 5150 grad_norm: 5.2415 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8024 loss: 2.8024 2022/06/27 18:41:49 - mmengine - INFO - Epoch(train) [4][1200/3757] lr: 1.000e-02 eta: 1 day, 2:01:51 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.6376 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1133 loss: 3.1133 2022/06/27 18:41:54 - mmengine - INFO - Epoch(train) [4][1220/3757] lr: 1.000e-02 eta: 1 day, 2:01:35 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.5908 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7060 loss: 2.7060 2022/06/27 18:42:01 - mmengine - INFO - Epoch(train) [4][1240/3757] lr: 1.000e-02 eta: 1 day, 2:02:09 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.0839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8323 loss: 2.8323 2022/06/27 18:42:05 - mmengine - INFO - Epoch(train) [4][1260/3757] lr: 1.000e-02 eta: 1 day, 2:01:46 time: 0.444 data_time: 0.006 memory: 5150 grad_norm: 5.7845 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9923 loss: 2.9923 2022/06/27 18:42:11 - mmengine - INFO - Epoch(train) [4][1280/3757] lr: 1.000e-02 eta: 1 day, 2:01:50 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 5.8311 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.2468 loss: 3.2468 2022/06/27 18:42:16 - mmengine - INFO - Epoch(train) [4][1300/3757] lr: 1.000e-02 eta: 1 day, 2:01:41 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2232 loss: 3.2232 2022/06/27 18:42:21 - mmengine - INFO - Epoch(train) [4][1320/3757] lr: 1.000e-02 eta: 1 day, 2:01:49 time: 0.452 data_time: 0.007 memory: 5150 grad_norm: 5.3979 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3703 loss: 2.3703 2022/06/27 18:42:27 - mmengine - INFO - Epoch(train) [4][1340/3757] lr: 1.000e-02 eta: 1 day, 2:01:58 time: 0.461 data_time: 0.020 memory: 5150 grad_norm: 6.1142 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8640 loss: 2.8640 2022/06/27 18:42:33 - mmengine - INFO - Epoch(train) [4][1360/3757] lr: 1.000e-02 eta: 1 day, 2:02:06 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.6583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8594 loss: 2.8594 2022/06/27 18:42:38 - mmengine - INFO - Epoch(train) [4][1380/3757] lr: 1.000e-02 eta: 1 day, 2:01:58 time: 0.444 data_time: 0.012 memory: 5150 grad_norm: 5.4584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5885 loss: 2.5885 2022/06/27 18:42:43 - mmengine - INFO - Epoch(train) [4][1400/3757] lr: 1.000e-02 eta: 1 day, 2:01:54 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 6.1506 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1285 loss: 3.1285 2022/06/27 18:42:48 - mmengine - INFO - Epoch(train) [4][1420/3757] lr: 1.000e-02 eta: 1 day, 2:01:55 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.9750 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8195 loss: 2.8195 2022/06/27 18:42:54 - mmengine - INFO - Epoch(train) [4][1440/3757] lr: 1.000e-02 eta: 1 day, 2:02:00 time: 0.621 data_time: 0.013 memory: 5150 grad_norm: 6.0076 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9454 loss: 2.9454 2022/06/27 18:42:59 - mmengine - INFO - Epoch(train) [4][1460/3757] lr: 1.000e-02 eta: 1 day, 2:01:54 time: 0.388 data_time: 0.012 memory: 5150 grad_norm: 6.0632 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.9333 loss: 2.9333 2022/06/27 18:43:04 - mmengine - INFO - Epoch(train) [4][1480/3757] lr: 1.000e-02 eta: 1 day, 2:01:55 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.7170 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9146 loss: 2.9146 2022/06/27 18:43:10 - mmengine - INFO - Epoch(train) [4][1500/3757] lr: 1.000e-02 eta: 1 day, 2:01:59 time: 0.877 data_time: 0.006 memory: 5150 grad_norm: 6.0536 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7823 loss: 2.7823 2022/06/27 18:43:15 - mmengine - INFO - Epoch(train) [4][1520/3757] lr: 1.000e-02 eta: 1 day, 2:01:48 time: 0.476 data_time: 0.007 memory: 5150 grad_norm: 5.4370 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4561 loss: 2.4561 2022/06/27 18:43:21 - mmengine - INFO - Epoch(train) [4][1540/3757] lr: 1.000e-02 eta: 1 day, 2:02:12 time: 0.189 data_time: 0.006 memory: 5150 grad_norm: 5.8870 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8113 loss: 2.8113 2022/06/27 18:43:25 - mmengine - INFO - Epoch(train) [4][1560/3757] lr: 1.000e-02 eta: 1 day, 2:01:36 time: 0.274 data_time: 0.013 memory: 5150 grad_norm: 5.3106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4295 loss: 2.4295 2022/06/27 18:43:30 - mmengine - INFO - Epoch(train) [4][1580/3757] lr: 1.000e-02 eta: 1 day, 2:01:34 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 6.1739 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9664 loss: 2.9664 2022/06/27 18:43:35 - mmengine - INFO - Epoch(train) [4][1600/3757] lr: 1.000e-02 eta: 1 day, 2:01:29 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0268 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2529 loss: 3.2529 2022/06/27 18:43:42 - mmengine - INFO - Epoch(train) [4][1620/3757] lr: 1.000e-02 eta: 1 day, 2:02:02 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.3470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1409 loss: 3.1409 2022/06/27 18:43:46 - mmengine - INFO - Epoch(train) [4][1640/3757] lr: 1.000e-02 eta: 1 day, 2:01:27 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.6082 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.9308 loss: 2.9308 2022/06/27 18:43:51 - mmengine - INFO - Epoch(train) [4][1660/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0195 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7396 loss: 2.7396 2022/06/27 18:43:57 - mmengine - INFO - Epoch(train) [4][1680/3757] lr: 1.000e-02 eta: 1 day, 2:01:26 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 6.0596 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7950 loss: 2.7950 2022/06/27 18:44:02 - mmengine - INFO - Epoch(train) [4][1700/3757] lr: 1.000e-02 eta: 1 day, 2:01:23 time: 0.266 data_time: 0.010 memory: 5150 grad_norm: 6.4604 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8258 loss: 2.8258 2022/06/27 18:44:07 - mmengine - INFO - Epoch(train) [4][1720/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.9987 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1256 loss: 3.1256 2022/06/27 18:44:09 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:44:13 - mmengine - INFO - Epoch(train) [4][1740/3757] lr: 1.000e-02 eta: 1 day, 2:01:22 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.4574 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8703 loss: 2.8703 2022/06/27 18:44:18 - mmengine - INFO - Epoch(train) [4][1760/3757] lr: 1.000e-02 eta: 1 day, 2:01:24 time: 0.816 data_time: 0.020 memory: 5150 grad_norm: 5.1477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0117 loss: 3.0117 2022/06/27 18:44:23 - mmengine - INFO - Epoch(train) [4][1780/3757] lr: 1.000e-02 eta: 1 day, 2:01:19 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.6816 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2054 loss: 3.2054 2022/06/27 18:44:29 - mmengine - INFO - Epoch(train) [4][1800/3757] lr: 1.000e-02 eta: 1 day, 2:01:22 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.6685 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8096 loss: 2.8096 2022/06/27 18:44:34 - mmengine - INFO - Epoch(train) [4][1820/3757] lr: 1.000e-02 eta: 1 day, 2:01:27 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 5.2658 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7829 loss: 2.7829 2022/06/27 18:44:41 - mmengine - INFO - Epoch(train) [4][1840/3757] lr: 1.000e-02 eta: 1 day, 2:02:18 time: 0.201 data_time: 0.023 memory: 5150 grad_norm: 6.1658 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0560 loss: 3.0560 2022/06/27 18:44:46 - mmengine - INFO - Epoch(train) [4][1860/3757] lr: 1.000e-02 eta: 1 day, 2:01:43 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9567 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8340 loss: 2.8340 2022/06/27 18:44:49 - mmengine - INFO - Epoch(train) [4][1880/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.3819 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7912 loss: 2.7912 2022/06/27 18:44:54 - mmengine - INFO - Epoch(train) [4][1900/3757] lr: 1.000e-02 eta: 1 day, 2:00:38 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 5.6744 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8831 loss: 2.8831 2022/06/27 18:44:59 - mmengine - INFO - Epoch(train) [4][1920/3757] lr: 1.000e-02 eta: 1 day, 2:00:38 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.7811 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5067 loss: 2.5067 2022/06/27 18:45:05 - mmengine - INFO - Epoch(train) [4][1940/3757] lr: 1.000e-02 eta: 1 day, 2:00:50 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7627 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8294 loss: 2.8294 2022/06/27 18:45:11 - mmengine - INFO - Epoch(train) [4][1960/3757] lr: 1.000e-02 eta: 1 day, 2:00:55 time: 0.248 data_time: 0.007 memory: 5150 grad_norm: 6.3232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6078 loss: 2.6078 2022/06/27 18:45:16 - mmengine - INFO - Epoch(train) [4][1980/3757] lr: 1.000e-02 eta: 1 day, 2:00:45 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8289 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6376 loss: 2.6376 2022/06/27 18:45:22 - mmengine - INFO - Epoch(train) [4][2000/3757] lr: 1.000e-02 eta: 1 day, 2:01:22 time: 0.205 data_time: 0.030 memory: 5150 grad_norm: 6.1953 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1095 loss: 3.1095 2022/06/27 18:45:27 - mmengine - INFO - Epoch(train) [4][2020/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.702 data_time: 0.007 memory: 5150 grad_norm: 6.2808 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 3.0580 loss: 3.0580 2022/06/27 18:45:33 - mmengine - INFO - Epoch(train) [4][2040/3757] lr: 1.000e-02 eta: 1 day, 2:01:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6035 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 3.2002 loss: 3.2002 2022/06/27 18:45:38 - mmengine - INFO - Epoch(train) [4][2060/3757] lr: 1.000e-02 eta: 1 day, 2:01:08 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.7263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0827 loss: 3.0827 2022/06/27 18:45:43 - mmengine - INFO - Epoch(train) [4][2080/3757] lr: 1.000e-02 eta: 1 day, 2:01:13 time: 0.412 data_time: 0.007 memory: 5150 grad_norm: 6.1798 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.0960 loss: 3.0960 2022/06/27 18:45:48 - mmengine - INFO - Epoch(train) [4][2100/3757] lr: 1.000e-02 eta: 1 day, 2:01:06 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.3200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3165 loss: 3.3165 2022/06/27 18:45:54 - mmengine - INFO - Epoch(train) [4][2120/3757] lr: 1.000e-02 eta: 1 day, 2:01:12 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 5.3845 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0834 loss: 3.0834 2022/06/27 18:46:01 - mmengine - INFO - Epoch(train) [4][2140/3757] lr: 1.000e-02 eta: 1 day, 2:01:58 time: 2.233 data_time: 0.007 memory: 5150 grad_norm: 6.0537 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2016 loss: 3.2016 2022/06/27 18:46:05 - mmengine - INFO - Epoch(train) [4][2160/3757] lr: 1.000e-02 eta: 1 day, 2:01:23 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6590 loss: 2.6590 2022/06/27 18:46:10 - mmengine - INFO - Epoch(train) [4][2180/3757] lr: 1.000e-02 eta: 1 day, 2:01:00 time: 0.223 data_time: 0.006 memory: 5150 grad_norm: 5.8355 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8134 loss: 2.8134 2022/06/27 18:46:15 - mmengine - INFO - Epoch(train) [4][2200/3757] lr: 1.000e-02 eta: 1 day, 2:01:06 time: 0.761 data_time: 0.007 memory: 5150 grad_norm: 5.8682 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5261 loss: 2.5261 2022/06/27 18:46:21 - mmengine - INFO - Epoch(train) [4][2220/3757] lr: 1.000e-02 eta: 1 day, 2:01:02 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8028 loss: 2.8028 2022/06/27 18:46:26 - mmengine - INFO - Epoch(train) [4][2240/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0850 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7946 loss: 2.7946 2022/06/27 18:46:31 - mmengine - INFO - Epoch(train) [4][2260/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2579 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.1579 loss: 3.1579 2022/06/27 18:46:36 - mmengine - INFO - Epoch(train) [4][2280/3757] lr: 1.000e-02 eta: 1 day, 2:00:55 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.9238 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9970 loss: 2.9970 2022/06/27 18:46:42 - mmengine - INFO - Epoch(train) [4][2300/3757] lr: 1.000e-02 eta: 1 day, 2:01:09 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2006 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9943 loss: 2.9943 2022/06/27 18:46:48 - mmengine - INFO - Epoch(train) [4][2320/3757] lr: 1.000e-02 eta: 1 day, 2:01:24 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4734 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8116 loss: 2.8116 2022/06/27 18:46:53 - mmengine - INFO - Epoch(train) [4][2340/3757] lr: 1.000e-02 eta: 1 day, 2:01:13 time: 0.197 data_time: 0.023 memory: 5150 grad_norm: 5.8831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9094 loss: 2.9094 2022/06/27 18:46:59 - mmengine - INFO - Epoch(train) [4][2360/3757] lr: 1.000e-02 eta: 1 day, 2:01:18 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.8373 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8010 loss: 2.8010 2022/06/27 18:47:04 - mmengine - INFO - Epoch(train) [4][2380/3757] lr: 1.000e-02 eta: 1 day, 2:01:27 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7214 loss: 2.7214 2022/06/27 18:47:09 - mmengine - INFO - Epoch(train) [4][2400/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.4998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9923 loss: 2.9923 2022/06/27 18:47:15 - mmengine - INFO - Epoch(train) [4][2420/3757] lr: 1.000e-02 eta: 1 day, 2:01:14 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5824 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.1441 loss: 3.1441 2022/06/27 18:47:21 - mmengine - INFO - Epoch(train) [4][2440/3757] lr: 1.000e-02 eta: 1 day, 2:01:39 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.6696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7625 loss: 2.7625 2022/06/27 18:47:25 - mmengine - INFO - Epoch(train) [4][2460/3757] lr: 1.000e-02 eta: 1 day, 2:01:05 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 5.6302 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0248 loss: 3.0248 2022/06/27 18:47:30 - mmengine - INFO - Epoch(train) [4][2480/3757] lr: 1.000e-02 eta: 1 day, 2:01:06 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0821 loss: 3.0821 2022/06/27 18:47:36 - mmengine - INFO - Epoch(train) [4][2500/3757] lr: 1.000e-02 eta: 1 day, 2:01:01 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.5489 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5877 loss: 2.5877 2022/06/27 18:47:41 - mmengine - INFO - Epoch(train) [4][2520/3757] lr: 1.000e-02 eta: 1 day, 2:01:11 time: 0.194 data_time: 0.017 memory: 5150 grad_norm: 6.3705 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5210 loss: 2.5210 2022/06/27 18:47:47 - mmengine - INFO - Epoch(train) [4][2540/3757] lr: 1.000e-02 eta: 1 day, 2:01:08 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.1850 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6632 loss: 2.6632 2022/06/27 18:47:53 - mmengine - INFO - Epoch(train) [4][2560/3757] lr: 1.000e-02 eta: 1 day, 2:01:27 time: 1.401 data_time: 0.007 memory: 5150 grad_norm: 5.7960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1530 loss: 3.1530 2022/06/27 18:47:58 - mmengine - INFO - Epoch(train) [4][2580/3757] lr: 1.000e-02 eta: 1 day, 2:01:16 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.8268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 3.1397 loss: 3.1397 2022/06/27 18:48:03 - mmengine - INFO - Epoch(train) [4][2600/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.7861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6254 loss: 2.6254 2022/06/27 18:48:09 - mmengine - INFO - Epoch(train) [4][2620/3757] lr: 1.000e-02 eta: 1 day, 2:01:17 time: 0.785 data_time: 0.007 memory: 5150 grad_norm: 5.2820 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7766 loss: 2.7766 2022/06/27 18:48:14 - mmengine - INFO - Epoch(train) [4][2640/3757] lr: 1.000e-02 eta: 1 day, 2:01:16 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 5.9969 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8894 loss: 2.8894 2022/06/27 18:48:19 - mmengine - INFO - Epoch(train) [4][2660/3757] lr: 1.000e-02 eta: 1 day, 2:01:10 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9529 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9904 loss: 2.9904 2022/06/27 18:48:25 - mmengine - INFO - Epoch(train) [4][2680/3757] lr: 1.000e-02 eta: 1 day, 2:01:23 time: 0.650 data_time: 0.007 memory: 5150 grad_norm: 5.8246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0471 loss: 3.0471 2022/06/27 18:48:30 - mmengine - INFO - Epoch(train) [4][2700/3757] lr: 1.000e-02 eta: 1 day, 2:01:06 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.2586 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9027 loss: 2.9027 2022/06/27 18:48:35 - mmengine - INFO - Epoch(train) [4][2720/3757] lr: 1.000e-02 eta: 1 day, 2:01:18 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1640 loss: 3.1640 2022/06/27 18:48:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:48:41 - mmengine - INFO - Epoch(train) [4][2740/3757] lr: 1.000e-02 eta: 1 day, 2:01:14 time: 0.454 data_time: 0.007 memory: 5150 grad_norm: 5.4532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7847 loss: 2.7847 2022/06/27 18:48:46 - mmengine - INFO - Epoch(train) [4][2760/3757] lr: 1.000e-02 eta: 1 day, 2:01:07 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.5027 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.2150 loss: 3.2150 2022/06/27 18:48:52 - mmengine - INFO - Epoch(train) [4][2780/3757] lr: 1.000e-02 eta: 1 day, 2:01:18 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.3588 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6154 loss: 2.6154 2022/06/27 18:48:57 - mmengine - INFO - Epoch(train) [4][2800/3757] lr: 1.000e-02 eta: 1 day, 2:01:19 time: 0.876 data_time: 0.014 memory: 5150 grad_norm: 5.8103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0729 loss: 3.0729 2022/06/27 18:49:02 - mmengine - INFO - Epoch(train) [4][2820/3757] lr: 1.000e-02 eta: 1 day, 2:01:08 time: 0.190 data_time: 0.019 memory: 5150 grad_norm: 5.6216 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.0958 loss: 3.0958 2022/06/27 18:49:08 - mmengine - INFO - Epoch(train) [4][2840/3757] lr: 1.000e-02 eta: 1 day, 2:01:14 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.0949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5163 loss: 2.5163 2022/06/27 18:49:13 - mmengine - INFO - Epoch(train) [4][2860/3757] lr: 1.000e-02 eta: 1 day, 2:01:16 time: 0.448 data_time: 0.011 memory: 5150 grad_norm: 6.3103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0784 loss: 3.0784 2022/06/27 18:49:18 - mmengine - INFO - Epoch(train) [4][2880/3757] lr: 1.000e-02 eta: 1 day, 2:01:02 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 5.6890 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9788 loss: 2.9788 2022/06/27 18:49:24 - mmengine - INFO - Epoch(train) [4][2900/3757] lr: 1.000e-02 eta: 1 day, 2:01:08 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.6066 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0729 loss: 3.0729 2022/06/27 18:49:29 - mmengine - INFO - Epoch(train) [4][2920/3757] lr: 1.000e-02 eta: 1 day, 2:01:22 time: 1.213 data_time: 0.010 memory: 5150 grad_norm: 5.6328 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9477 loss: 2.9477 2022/06/27 18:49:34 - mmengine - INFO - Epoch(train) [4][2940/3757] lr: 1.000e-02 eta: 1 day, 2:01:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7621 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.1774 loss: 3.1774 2022/06/27 18:49:39 - mmengine - INFO - Epoch(train) [4][2960/3757] lr: 1.000e-02 eta: 1 day, 2:01:01 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 5.6613 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7856 loss: 2.7856 2022/06/27 18:49:45 - mmengine - INFO - Epoch(train) [4][2980/3757] lr: 1.000e-02 eta: 1 day, 2:00:57 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8789 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2636 loss: 3.2636 2022/06/27 18:49:49 - mmengine - INFO - Epoch(train) [4][3000/3757] lr: 1.000e-02 eta: 1 day, 2:00:37 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2227 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2330 loss: 3.2330 2022/06/27 18:49:55 - mmengine - INFO - Epoch(train) [4][3020/3757] lr: 1.000e-02 eta: 1 day, 2:00:44 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.6056 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6969 loss: 2.6969 2022/06/27 18:50:01 - mmengine - INFO - Epoch(train) [4][3040/3757] lr: 1.000e-02 eta: 1 day, 2:01:08 time: 1.159 data_time: 0.007 memory: 5150 grad_norm: 6.1468 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5913 loss: 2.5913 2022/06/27 18:50:06 - mmengine - INFO - Epoch(train) [4][3060/3757] lr: 1.000e-02 eta: 1 day, 2:00:53 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8210 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6592 loss: 2.6592 2022/06/27 18:50:12 - mmengine - INFO - Epoch(train) [4][3080/3757] lr: 1.000e-02 eta: 1 day, 2:00:58 time: 0.191 data_time: 0.015 memory: 5150 grad_norm: 5.5998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5048 loss: 2.5048 2022/06/27 18:50:17 - mmengine - INFO - Epoch(train) [4][3100/3757] lr: 1.000e-02 eta: 1 day, 2:01:05 time: 1.085 data_time: 0.007 memory: 5150 grad_norm: 5.8092 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0640 loss: 3.0640 2022/06/27 18:50:22 - mmengine - INFO - Epoch(train) [4][3120/3757] lr: 1.000e-02 eta: 1 day, 2:00:54 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.6183 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6569 loss: 2.6569 2022/06/27 18:50:28 - mmengine - INFO - Epoch(train) [4][3140/3757] lr: 1.000e-02 eta: 1 day, 2:00:54 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 6.0247 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8918 loss: 2.8918 2022/06/27 18:50:33 - mmengine - INFO - Epoch(train) [4][3160/3757] lr: 1.000e-02 eta: 1 day, 2:00:48 time: 0.393 data_time: 0.007 memory: 5150 grad_norm: 5.9770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9353 loss: 2.9353 2022/06/27 18:50:38 - mmengine - INFO - Epoch(train) [4][3180/3757] lr: 1.000e-02 eta: 1 day, 2:00:39 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8419 loss: 2.8419 2022/06/27 18:50:43 - mmengine - INFO - Epoch(train) [4][3200/3757] lr: 1.000e-02 eta: 1 day, 2:00:41 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.6656 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4651 loss: 2.4651 2022/06/27 18:50:49 - mmengine - INFO - Epoch(train) [4][3220/3757] lr: 1.000e-02 eta: 1 day, 2:00:39 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.2115 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9796 loss: 2.9796 2022/06/27 18:50:54 - mmengine - INFO - Epoch(train) [4][3240/3757] lr: 1.000e-02 eta: 1 day, 2:00:47 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.5315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4240 loss: 2.4240 2022/06/27 18:51:00 - mmengine - INFO - Epoch(train) [4][3260/3757] lr: 1.000e-02 eta: 1 day, 2:01:04 time: 0.224 data_time: 0.037 memory: 5150 grad_norm: 5.9989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6016 loss: 2.6016 2022/06/27 18:51:05 - mmengine - INFO - Epoch(train) [4][3280/3757] lr: 1.000e-02 eta: 1 day, 2:00:50 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.1871 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8753 loss: 2.8753 2022/06/27 18:51:11 - mmengine - INFO - Epoch(train) [4][3300/3757] lr: 1.000e-02 eta: 1 day, 2:00:59 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.7079 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7046 loss: 2.7046 2022/06/27 18:51:16 - mmengine - INFO - Epoch(train) [4][3320/3757] lr: 1.000e-02 eta: 1 day, 2:00:52 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 6.0210 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5811 loss: 2.5811 2022/06/27 18:51:22 - mmengine - INFO - Epoch(train) [4][3340/3757] lr: 1.000e-02 eta: 1 day, 2:00:55 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.0448 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8796 loss: 2.8796 2022/06/27 18:51:27 - mmengine - INFO - Epoch(train) [4][3360/3757] lr: 1.000e-02 eta: 1 day, 2:00:54 time: 0.225 data_time: 0.027 memory: 5150 grad_norm: 6.2789 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8937 loss: 2.8937 2022/06/27 18:51:33 - mmengine - INFO - Epoch(train) [4][3380/3757] lr: 1.000e-02 eta: 1 day, 2:00:59 time: 0.247 data_time: 0.027 memory: 5150 grad_norm: 5.3627 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7825 loss: 2.7825 2022/06/27 18:51:37 - mmengine - INFO - Epoch(train) [4][3400/3757] lr: 1.000e-02 eta: 1 day, 2:00:38 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.7422 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7639 loss: 2.7639 2022/06/27 18:51:43 - mmengine - INFO - Epoch(train) [4][3420/3757] lr: 1.000e-02 eta: 1 day, 2:00:41 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.7418 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7493 loss: 2.7493 2022/06/27 18:51:48 - mmengine - INFO - Epoch(train) [4][3440/3757] lr: 1.000e-02 eta: 1 day, 2:00:42 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.2426 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9946 loss: 2.9946 2022/06/27 18:51:53 - mmengine - INFO - Epoch(train) [4][3460/3757] lr: 1.000e-02 eta: 1 day, 2:00:27 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 5.6211 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2850 loss: 3.2850 2022/06/27 18:51:58 - mmengine - INFO - Epoch(train) [4][3480/3757] lr: 1.000e-02 eta: 1 day, 2:00:27 time: 0.207 data_time: 0.020 memory: 5150 grad_norm: 6.8955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5219 loss: 2.5219 2022/06/27 18:52:05 - mmengine - INFO - Epoch(train) [4][3500/3757] lr: 1.000e-02 eta: 1 day, 2:00:59 time: 0.218 data_time: 0.014 memory: 5150 grad_norm: 5.9482 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0472 loss: 3.0472 2022/06/27 18:52:09 - mmengine - INFO - Epoch(train) [4][3520/3757] lr: 1.000e-02 eta: 1 day, 2:00:25 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.8528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0155 loss: 3.0155 2022/06/27 18:52:13 - mmengine - INFO - Epoch(train) [4][3540/3757] lr: 1.000e-02 eta: 1 day, 1:59:51 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.4971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7989 loss: 2.7989 2022/06/27 18:52:18 - mmengine - INFO - Epoch(train) [4][3560/3757] lr: 1.000e-02 eta: 1 day, 1:59:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5089 loss: 2.5089 2022/06/27 18:52:25 - mmengine - INFO - Epoch(train) [4][3580/3757] lr: 1.000e-02 eta: 1 day, 2:00:26 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.4713 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 3.1095 loss: 3.1095 2022/06/27 18:52:29 - mmengine - INFO - Epoch(train) [4][3600/3757] lr: 1.000e-02 eta: 1 day, 1:59:52 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.6336 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6706 loss: 2.6706 2022/06/27 18:52:34 - mmengine - INFO - Epoch(train) [4][3620/3757] lr: 1.000e-02 eta: 1 day, 1:59:42 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6411 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7474 loss: 2.7474 2022/06/27 18:52:40 - mmengine - INFO - Epoch(train) [4][3640/3757] lr: 1.000e-02 eta: 1 day, 1:59:44 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.2003 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.1228 loss: 3.1228 2022/06/27 18:52:45 - mmengine - INFO - Epoch(train) [4][3660/3757] lr: 1.000e-02 eta: 1 day, 1:59:51 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3735 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8190 loss: 2.8190 2022/06/27 18:52:50 - mmengine - INFO - Epoch(train) [4][3680/3757] lr: 1.000e-02 eta: 1 day, 1:59:42 time: 0.325 data_time: 0.009 memory: 5150 grad_norm: 5.5041 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.1364 loss: 3.1364 2022/06/27 18:52:56 - mmengine - INFO - Epoch(train) [4][3700/3757] lr: 1.000e-02 eta: 1 day, 1:59:48 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.9108 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5954 loss: 2.5954 2022/06/27 18:53:02 - mmengine - INFO - Epoch(train) [4][3720/3757] lr: 1.000e-02 eta: 1 day, 1:59:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6676 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5629 loss: 2.5629 2022/06/27 18:53:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:53:07 - mmengine - INFO - Epoch(train) [4][3740/3757] lr: 1.000e-02 eta: 1 day, 1:59:43 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.7392 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4974 loss: 2.4974 2022/06/27 18:53:11 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 18:53:44 - mmengine - INFO - Epoch(val) [4][20/310] eta: 0:05:53 time: 1.044 data_time: 0.385 memory: 9746 2022/06/27 18:54:06 - mmengine - INFO - Epoch(val) [4][40/310] eta: 0:04:47 time: 0.894 data_time: 0.261 memory: 9746 2022/06/27 18:54:30 - mmengine - INFO - Epoch(val) [4][60/310] eta: 0:04:16 time: 1.121 data_time: 0.477 memory: 9746 2022/06/27 18:54:53 - mmengine - INFO - Epoch(val) [4][80/310] eta: 0:04:39 time: 1.021 data_time: 0.368 memory: 9746 2022/06/27 18:55:16 - mmengine - INFO - Epoch(val) [4][100/310] eta: 0:04:18 time: 3.056 data_time: 2.389 memory: 9746 2022/06/27 18:55:37 - mmengine - INFO - Epoch(val) [4][120/310] eta: 0:03:18 time: 0.964 data_time: 0.313 memory: 9746 2022/06/27 18:56:03 - mmengine - INFO - Epoch(val) [4][140/310] eta: 0:03:25 time: 1.098 data_time: 0.451 memory: 9746 2022/06/27 18:56:27 - mmengine - INFO - Epoch(val) [4][160/310] eta: 0:03:10 time: 3.138 data_time: 2.452 memory: 9746 2022/06/27 18:56:50 - mmengine - INFO - Epoch(val) [4][180/310] eta: 0:02:51 time: 1.113 data_time: 0.451 memory: 9746 2022/06/27 18:57:12 - mmengine - INFO - Epoch(val) [4][200/310] eta: 0:02:04 time: 0.920 data_time: 0.266 memory: 9746 2022/06/27 18:57:34 - mmengine - INFO - Epoch(val) [4][220/310] eta: 0:01:36 time: 0.943 data_time: 0.323 memory: 9746 2022/06/27 18:57:56 - mmengine - INFO - Epoch(val) [4][240/310] eta: 0:01:16 time: 1.097 data_time: 0.436 memory: 9746 2022/06/27 18:58:18 - mmengine - INFO - Epoch(val) [4][260/310] eta: 0:00:57 time: 1.037 data_time: 0.392 memory: 9746 2022/06/27 18:58:41 - mmengine - INFO - Epoch(val) [4][280/310] eta: 0:00:33 time: 1.679 data_time: 1.020 memory: 9746 2022/06/27 18:59:01 - mmengine - INFO - Epoch(val) [4][300/310] eta: 0:00:08 time: 0.663 data_time: 0.089 memory: 9746 2022/06/27 18:59:13 - mmengine - INFO - Epoch(val) [4][310/310] acc/top1: 0.4591 acc/top5: 0.7300 acc/mean1: 0.4590 2022/06/27 18:59:21 - mmengine - INFO - Epoch(train) [5][20/3757] lr: 1.000e-02 eta: 1 day, 1:59:55 time: 0.190 data_time: 0.007 memory: 9746 grad_norm: 4.9548 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5623 loss: 2.5623 2022/06/27 18:59:27 - mmengine - INFO - Epoch(train) [5][40/3757] lr: 1.000e-02 eta: 1 day, 2:00:02 time: 0.189 data_time: 0.014 memory: 5150 grad_norm: 6.0482 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9308 loss: 2.9308 2022/06/27 18:59:32 - mmengine - INFO - Epoch(train) [5][60/3757] lr: 1.000e-02 eta: 1 day, 1:59:49 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.2427 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7510 loss: 2.7510 2022/06/27 18:59:37 - mmengine - INFO - Epoch(train) [5][80/3757] lr: 1.000e-02 eta: 1 day, 1:59:46 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3917 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.1833 loss: 3.1833 2022/06/27 18:59:43 - mmengine - INFO - Epoch(train) [5][100/3757] lr: 1.000e-02 eta: 1 day, 1:59:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6025 loss: 2.6025 2022/06/27 18:59:48 - mmengine - INFO - Epoch(train) [5][120/3757] lr: 1.000e-02 eta: 1 day, 1:59:38 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3664 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5389 loss: 2.5389 2022/06/27 18:59:54 - mmengine - INFO - Epoch(train) [5][140/3757] lr: 1.000e-02 eta: 1 day, 1:59:49 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.7777 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3867 loss: 2.3867 2022/06/27 18:59:59 - mmengine - INFO - Epoch(train) [5][160/3757] lr: 1.000e-02 eta: 1 day, 1:59:48 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.8964 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8677 loss: 2.8677 2022/06/27 19:00:04 - mmengine - INFO - Epoch(train) [5][180/3757] lr: 1.000e-02 eta: 1 day, 1:59:32 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.8578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6385 loss: 2.6385 2022/06/27 19:00:10 - mmengine - INFO - Epoch(train) [5][200/3757] lr: 1.000e-02 eta: 1 day, 1:59:44 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 4.8056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4927 loss: 2.4927 2022/06/27 19:00:15 - mmengine - INFO - Epoch(train) [5][220/3757] lr: 1.000e-02 eta: 1 day, 1:59:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5478 loss: 2.5478 2022/06/27 19:00:20 - mmengine - INFO - Epoch(train) [5][240/3757] lr: 1.000e-02 eta: 1 day, 1:59:33 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 5.6592 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5287 loss: 2.5287 2022/06/27 19:00:26 - mmengine - INFO - Epoch(train) [5][260/3757] lr: 1.000e-02 eta: 1 day, 1:59:41 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.1872 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6790 loss: 2.6790 2022/06/27 19:00:32 - mmengine - INFO - Epoch(train) [5][280/3757] lr: 1.000e-02 eta: 1 day, 2:00:03 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9096 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7266 loss: 2.7266 2022/06/27 19:00:36 - mmengine - INFO - Epoch(train) [5][300/3757] lr: 1.000e-02 eta: 1 day, 1:59:30 time: 0.192 data_time: 0.014 memory: 5150 grad_norm: 5.6243 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3504 loss: 2.3504 2022/06/27 19:00:42 - mmengine - INFO - Epoch(train) [5][320/3757] lr: 1.000e-02 eta: 1 day, 1:59:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.0171 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7875 loss: 2.7875 2022/06/27 19:00:47 - mmengine - INFO - Epoch(train) [5][340/3757] lr: 1.000e-02 eta: 1 day, 1:59:38 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.7328 loss: 2.7328 2022/06/27 19:00:53 - mmengine - INFO - Epoch(train) [5][360/3757] lr: 1.000e-02 eta: 1 day, 1:59:37 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.5328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6186 loss: 2.6186 2022/06/27 19:00:58 - mmengine - INFO - Epoch(train) [5][380/3757] lr: 1.000e-02 eta: 1 day, 1:59:34 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.5758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5194 loss: 2.5194 2022/06/27 19:01:03 - mmengine - INFO - Epoch(train) [5][400/3757] lr: 1.000e-02 eta: 1 day, 1:59:30 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0430 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7076 loss: 2.7076 2022/06/27 19:01:08 - mmengine - INFO - Epoch(train) [5][420/3757] lr: 1.000e-02 eta: 1 day, 1:59:14 time: 0.195 data_time: 0.020 memory: 5150 grad_norm: 5.7888 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4066 loss: 2.4066 2022/06/27 19:01:14 - mmengine - INFO - Epoch(train) [5][440/3757] lr: 1.000e-02 eta: 1 day, 1:59:20 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.5198 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4839 loss: 2.4839 2022/06/27 19:01:19 - mmengine - INFO - Epoch(train) [5][460/3757] lr: 1.000e-02 eta: 1 day, 1:59:12 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4872 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5928 loss: 2.5928 2022/06/27 19:01:24 - mmengine - INFO - Epoch(train) [5][480/3757] lr: 1.000e-02 eta: 1 day, 1:58:56 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.7244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7482 loss: 2.7482 2022/06/27 19:01:29 - mmengine - INFO - Epoch(train) [5][500/3757] lr: 1.000e-02 eta: 1 day, 1:59:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6426 loss: 2.6426 2022/06/27 19:01:35 - mmengine - INFO - Epoch(train) [5][520/3757] lr: 1.000e-02 eta: 1 day, 1:59:15 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.3590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8559 loss: 2.8559 2022/06/27 19:01:39 - mmengine - INFO - Epoch(train) [5][540/3757] lr: 1.000e-02 eta: 1 day, 1:58:46 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.1771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5614 loss: 2.5614 2022/06/27 19:01:44 - mmengine - INFO - Epoch(train) [5][560/3757] lr: 1.000e-02 eta: 1 day, 1:58:39 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 6.1357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8892 loss: 2.8892 2022/06/27 19:01:50 - mmengine - INFO - Epoch(train) [5][580/3757] lr: 1.000e-02 eta: 1 day, 1:58:43 time: 0.573 data_time: 0.007 memory: 5150 grad_norm: 5.3853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3563 loss: 2.3563 2022/06/27 19:01:55 - mmengine - INFO - Epoch(train) [5][600/3757] lr: 1.000e-02 eta: 1 day, 1:58:35 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 6.4019 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5926 loss: 2.5926 2022/06/27 19:02:01 - mmengine - INFO - Epoch(train) [5][620/3757] lr: 1.000e-02 eta: 1 day, 1:58:43 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.5824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8392 loss: 2.8392 2022/06/27 19:02:07 - mmengine - INFO - Epoch(train) [5][640/3757] lr: 1.000e-02 eta: 1 day, 1:58:52 time: 1.023 data_time: 0.007 memory: 5150 grad_norm: 5.5312 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7576 loss: 2.7576 2022/06/27 19:02:12 - mmengine - INFO - Epoch(train) [5][660/3757] lr: 1.000e-02 eta: 1 day, 1:58:59 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.5962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6833 loss: 2.6833 2022/06/27 19:02:17 - mmengine - INFO - Epoch(train) [5][680/3757] lr: 1.000e-02 eta: 1 day, 1:58:38 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.0687 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5171 loss: 2.5171 2022/06/27 19:02:23 - mmengine - INFO - Epoch(train) [5][700/3757] lr: 1.000e-02 eta: 1 day, 1:58:44 time: 0.806 data_time: 0.007 memory: 5150 grad_norm: 5.5196 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9662 loss: 2.9662 2022/06/27 19:02:27 - mmengine - INFO - Epoch(train) [5][720/3757] lr: 1.000e-02 eta: 1 day, 1:58:33 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 5.3164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8598 loss: 2.8598 2022/06/27 19:02:33 - mmengine - INFO - Epoch(train) [5][740/3757] lr: 1.000e-02 eta: 1 day, 1:58:29 time: 0.210 data_time: 0.017 memory: 5150 grad_norm: 5.2893 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6631 loss: 2.6631 2022/06/27 19:02:38 - mmengine - INFO - Epoch(train) [5][760/3757] lr: 1.000e-02 eta: 1 day, 1:58:28 time: 0.675 data_time: 0.007 memory: 5150 grad_norm: 5.5762 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9957 loss: 2.9957 2022/06/27 19:02:44 - mmengine - INFO - Epoch(train) [5][780/3757] lr: 1.000e-02 eta: 1 day, 1:58:27 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.1558 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 3.1961 loss: 3.1961 2022/06/27 19:02:50 - mmengine - INFO - Epoch(train) [5][800/3757] lr: 1.000e-02 eta: 1 day, 1:58:41 time: 0.204 data_time: 0.027 memory: 5150 grad_norm: 6.0466 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7927 loss: 2.7927 2022/06/27 19:02:55 - mmengine - INFO - Epoch(train) [5][820/3757] lr: 1.000e-02 eta: 1 day, 1:58:31 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 6.3488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5544 loss: 2.5544 2022/06/27 19:03:00 - mmengine - INFO - Epoch(train) [5][840/3757] lr: 1.000e-02 eta: 1 day, 1:58:23 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.6796 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7947 loss: 2.7947 2022/06/27 19:03:05 - mmengine - INFO - Epoch(train) [5][860/3757] lr: 1.000e-02 eta: 1 day, 1:58:17 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.4272 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4048 loss: 2.4048 2022/06/27 19:03:10 - mmengine - INFO - Epoch(train) [5][880/3757] lr: 1.000e-02 eta: 1 day, 1:58:03 time: 0.214 data_time: 0.015 memory: 5150 grad_norm: 5.5288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8637 loss: 2.8637 2022/06/27 19:03:15 - mmengine - INFO - Epoch(train) [5][900/3757] lr: 1.000e-02 eta: 1 day, 1:58:00 time: 0.197 data_time: 0.029 memory: 5150 grad_norm: 5.3842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2759 loss: 2.2759 2022/06/27 19:03:20 - mmengine - INFO - Epoch(train) [5][920/3757] lr: 1.000e-02 eta: 1 day, 1:57:51 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.1873 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8619 loss: 2.8619 2022/06/27 19:03:25 - mmengine - INFO - Epoch(train) [5][940/3757] lr: 1.000e-02 eta: 1 day, 1:57:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0915 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6719 loss: 2.6719 2022/06/27 19:03:30 - mmengine - INFO - Epoch(train) [5][960/3757] lr: 1.000e-02 eta: 1 day, 1:57:42 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.0761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4692 loss: 2.4692 2022/06/27 19:03:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:03:35 - mmengine - INFO - Epoch(train) [5][980/3757] lr: 1.000e-02 eta: 1 day, 1:57:36 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.7528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5738 loss: 2.5738 2022/06/27 19:03:41 - mmengine - INFO - Epoch(train) [5][1000/3757] lr: 1.000e-02 eta: 1 day, 1:57:41 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7422 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4637 loss: 2.4637 2022/06/27 19:03:46 - mmengine - INFO - Epoch(train) [5][1020/3757] lr: 1.000e-02 eta: 1 day, 1:57:35 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 5.7461 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8570 loss: 2.8570 2022/06/27 19:03:52 - mmengine - INFO - Epoch(train) [5][1040/3757] lr: 1.000e-02 eta: 1 day, 1:57:40 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.8748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9513 loss: 2.9513 2022/06/27 19:03:57 - mmengine - INFO - Epoch(train) [5][1060/3757] lr: 1.000e-02 eta: 1 day, 1:57:31 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.1457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5994 loss: 2.5994 2022/06/27 19:04:03 - mmengine - INFO - Epoch(train) [5][1080/3757] lr: 1.000e-02 eta: 1 day, 1:57:36 time: 0.211 data_time: 0.023 memory: 5150 grad_norm: 5.4818 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8094 loss: 2.8094 2022/06/27 19:04:08 - mmengine - INFO - Epoch(train) [5][1100/3757] lr: 1.000e-02 eta: 1 day, 1:57:31 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.0053 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6582 loss: 2.6582 2022/06/27 19:04:13 - mmengine - INFO - Epoch(train) [5][1120/3757] lr: 1.000e-02 eta: 1 day, 1:57:31 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 5.1175 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6280 loss: 2.6280 2022/06/27 19:04:19 - mmengine - INFO - Epoch(train) [5][1140/3757] lr: 1.000e-02 eta: 1 day, 1:57:32 time: 0.220 data_time: 0.013 memory: 5150 grad_norm: 6.0931 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6203 loss: 2.6203 2022/06/27 19:04:24 - mmengine - INFO - Epoch(train) [5][1160/3757] lr: 1.000e-02 eta: 1 day, 1:57:32 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6383 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6965 loss: 2.6965 2022/06/27 19:04:29 - mmengine - INFO - Epoch(train) [5][1180/3757] lr: 1.000e-02 eta: 1 day, 1:57:18 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.2031 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8789 loss: 2.8789 2022/06/27 19:04:35 - mmengine - INFO - Epoch(train) [5][1200/3757] lr: 1.000e-02 eta: 1 day, 1:57:19 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.3973 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6235 loss: 2.6235 2022/06/27 19:04:40 - mmengine - INFO - Epoch(train) [5][1220/3757] lr: 1.000e-02 eta: 1 day, 1:57:19 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 6.2465 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.0010 loss: 3.0010 2022/06/27 19:04:46 - mmengine - INFO - Epoch(train) [5][1240/3757] lr: 1.000e-02 eta: 1 day, 1:57:30 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2743 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5848 loss: 2.5848 2022/06/27 19:04:52 - mmengine - INFO - Epoch(train) [5][1260/3757] lr: 1.000e-02 eta: 1 day, 1:57:40 time: 0.233 data_time: 0.033 memory: 5150 grad_norm: 5.1329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.1081 loss: 3.1081 2022/06/27 19:04:56 - mmengine - INFO - Epoch(train) [5][1280/3757] lr: 1.000e-02 eta: 1 day, 1:57:18 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.8867 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3832 loss: 2.3832 2022/06/27 19:05:02 - mmengine - INFO - Epoch(train) [5][1300/3757] lr: 1.000e-02 eta: 1 day, 1:57:28 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.3149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4503 loss: 2.4503 2022/06/27 19:05:08 - mmengine - INFO - Epoch(train) [5][1320/3757] lr: 1.000e-02 eta: 1 day, 1:57:39 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 5.3755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0354 loss: 3.0354 2022/06/27 19:05:13 - mmengine - INFO - Epoch(train) [5][1340/3757] lr: 1.000e-02 eta: 1 day, 1:57:32 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.1979 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.7022 loss: 2.7022 2022/06/27 19:05:18 - mmengine - INFO - Epoch(train) [5][1360/3757] lr: 1.000e-02 eta: 1 day, 1:57:17 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 6.8762 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9343 loss: 2.9343 2022/06/27 19:05:23 - mmengine - INFO - Epoch(train) [5][1380/3757] lr: 1.000e-02 eta: 1 day, 1:57:08 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.8235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5353 loss: 2.5353 2022/06/27 19:05:28 - mmengine - INFO - Epoch(train) [5][1400/3757] lr: 1.000e-02 eta: 1 day, 1:56:52 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9670 loss: 2.9670 2022/06/27 19:05:33 - mmengine - INFO - Epoch(train) [5][1420/3757] lr: 1.000e-02 eta: 1 day, 1:56:51 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9039 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6183 loss: 2.6183 2022/06/27 19:05:38 - mmengine - INFO - Epoch(train) [5][1440/3757] lr: 1.000e-02 eta: 1 day, 1:56:46 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.1250 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6644 loss: 2.6644 2022/06/27 19:05:43 - mmengine - INFO - Epoch(train) [5][1460/3757] lr: 1.000e-02 eta: 1 day, 1:56:31 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.6944 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3188 loss: 2.3188 2022/06/27 19:05:49 - mmengine - INFO - Epoch(train) [5][1480/3757] lr: 1.000e-02 eta: 1 day, 1:56:43 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.6439 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5039 loss: 2.5039 2022/06/27 19:05:54 - mmengine - INFO - Epoch(train) [5][1500/3757] lr: 1.000e-02 eta: 1 day, 1:56:35 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.4960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5245 loss: 2.5245 2022/06/27 19:05:59 - mmengine - INFO - Epoch(train) [5][1520/3757] lr: 1.000e-02 eta: 1 day, 1:56:29 time: 0.193 data_time: 0.027 memory: 5150 grad_norm: 5.7414 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8595 loss: 2.8595 2022/06/27 19:06:04 - mmengine - INFO - Epoch(train) [5][1540/3757] lr: 1.000e-02 eta: 1 day, 1:56:21 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.5878 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8262 loss: 2.8262 2022/06/27 19:06:10 - mmengine - INFO - Epoch(train) [5][1560/3757] lr: 1.000e-02 eta: 1 day, 1:56:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.0676 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.8916 loss: 2.8916 2022/06/27 19:06:15 - mmengine - INFO - Epoch(train) [5][1580/3757] lr: 1.000e-02 eta: 1 day, 1:56:20 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 5.0011 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8198 loss: 2.8198 2022/06/27 19:06:20 - mmengine - INFO - Epoch(train) [5][1600/3757] lr: 1.000e-02 eta: 1 day, 1:56:12 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.9376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5002 loss: 2.5002 2022/06/27 19:06:26 - mmengine - INFO - Epoch(train) [5][1620/3757] lr: 1.000e-02 eta: 1 day, 1:56:18 time: 0.532 data_time: 0.007 memory: 5150 grad_norm: 6.7413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9500 loss: 2.9500 2022/06/27 19:06:31 - mmengine - INFO - Epoch(train) [5][1640/3757] lr: 1.000e-02 eta: 1 day, 1:56:15 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.9811 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5666 loss: 2.5666 2022/06/27 19:06:36 - mmengine - INFO - Epoch(train) [5][1660/3757] lr: 1.000e-02 eta: 1 day, 1:56:05 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 6.5976 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5286 loss: 2.5286 2022/06/27 19:06:42 - mmengine - INFO - Epoch(train) [5][1680/3757] lr: 1.000e-02 eta: 1 day, 1:56:08 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7557 loss: 2.7557 2022/06/27 19:06:47 - mmengine - INFO - Epoch(train) [5][1700/3757] lr: 1.000e-02 eta: 1 day, 1:56:10 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.5197 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0111 loss: 3.0111 2022/06/27 19:06:53 - mmengine - INFO - Epoch(train) [5][1720/3757] lr: 1.000e-02 eta: 1 day, 1:56:10 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.8631 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.6480 loss: 2.6480 2022/06/27 19:06:58 - mmengine - INFO - Epoch(train) [5][1740/3757] lr: 1.000e-02 eta: 1 day, 1:56:00 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 4.9835 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8386 loss: 2.8386 2022/06/27 19:07:03 - mmengine - INFO - Epoch(train) [5][1760/3757] lr: 1.000e-02 eta: 1 day, 1:55:57 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8441 loss: 2.8441 2022/06/27 19:07:09 - mmengine - INFO - Epoch(train) [5][1780/3757] lr: 1.000e-02 eta: 1 day, 1:56:00 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.2216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9764 loss: 2.9764 2022/06/27 19:07:14 - mmengine - INFO - Epoch(train) [5][1800/3757] lr: 1.000e-02 eta: 1 day, 1:55:51 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.8856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6354 loss: 2.6354 2022/06/27 19:07:19 - mmengine - INFO - Epoch(train) [5][1820/3757] lr: 1.000e-02 eta: 1 day, 1:55:58 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.0294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4746 loss: 2.4746 2022/06/27 19:07:24 - mmengine - INFO - Epoch(train) [5][1840/3757] lr: 1.000e-02 eta: 1 day, 1:55:45 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8147 loss: 2.8147 2022/06/27 19:07:30 - mmengine - INFO - Epoch(train) [5][1860/3757] lr: 1.000e-02 eta: 1 day, 1:55:44 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7537 loss: 2.7537 2022/06/27 19:07:35 - mmengine - INFO - Epoch(train) [5][1880/3757] lr: 1.000e-02 eta: 1 day, 1:55:47 time: 0.232 data_time: 0.010 memory: 5150 grad_norm: 6.2231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6603 loss: 2.6603 2022/06/27 19:07:40 - mmengine - INFO - Epoch(train) [5][1900/3757] lr: 1.000e-02 eta: 1 day, 1:55:29 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.1873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 3.3282 loss: 3.3282 2022/06/27 19:07:45 - mmengine - INFO - Epoch(train) [5][1920/3757] lr: 1.000e-02 eta: 1 day, 1:55:31 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.9451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5723 loss: 2.5723 2022/06/27 19:07:51 - mmengine - INFO - Epoch(train) [5][1940/3757] lr: 1.000e-02 eta: 1 day, 1:55:27 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.9489 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7786 loss: 2.7786 2022/06/27 19:07:56 - mmengine - INFO - Epoch(train) [5][1960/3757] lr: 1.000e-02 eta: 1 day, 1:55:19 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0039 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4481 loss: 2.4481 2022/06/27 19:07:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:08:01 - mmengine - INFO - Epoch(train) [5][1980/3757] lr: 1.000e-02 eta: 1 day, 1:55:23 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.7686 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6768 loss: 2.6768 2022/06/27 19:08:07 - mmengine - INFO - Epoch(train) [5][2000/3757] lr: 1.000e-02 eta: 1 day, 1:55:16 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.4338 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6484 loss: 2.6484 2022/06/27 19:08:12 - mmengine - INFO - Epoch(train) [5][2020/3757] lr: 1.000e-02 eta: 1 day, 1:55:26 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 5.8004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7866 loss: 2.7866 2022/06/27 19:08:17 - mmengine - INFO - Epoch(train) [5][2040/3757] lr: 1.000e-02 eta: 1 day, 1:55:17 time: 0.222 data_time: 0.006 memory: 5150 grad_norm: 5.9388 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1943 loss: 3.1943 2022/06/27 19:08:22 - mmengine - INFO - Epoch(train) [5][2060/3757] lr: 1.000e-02 eta: 1 day, 1:55:01 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5468 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7371 loss: 2.7371 2022/06/27 19:08:28 - mmengine - INFO - Epoch(train) [5][2080/3757] lr: 1.000e-02 eta: 1 day, 1:55:02 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 5.8421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5000 loss: 2.5000 2022/06/27 19:08:33 - mmengine - INFO - Epoch(train) [5][2100/3757] lr: 1.000e-02 eta: 1 day, 1:55:01 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7904 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7963 loss: 2.7963 2022/06/27 19:08:38 - mmengine - INFO - Epoch(train) [5][2120/3757] lr: 1.000e-02 eta: 1 day, 1:54:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5885 loss: 2.5885 2022/06/27 19:08:44 - mmengine - INFO - Epoch(train) [5][2140/3757] lr: 1.000e-02 eta: 1 day, 1:54:58 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.4250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9158 loss: 2.9158 2022/06/27 19:08:50 - mmengine - INFO - Epoch(train) [5][2160/3757] lr: 1.000e-02 eta: 1 day, 1:55:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8881 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4191 loss: 2.4191 2022/06/27 19:08:54 - mmengine - INFO - Epoch(train) [5][2180/3757] lr: 1.000e-02 eta: 1 day, 1:54:39 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.8968 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9134 loss: 2.9134 2022/06/27 19:09:00 - mmengine - INFO - Epoch(train) [5][2200/3757] lr: 1.000e-02 eta: 1 day, 1:54:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5078 loss: 2.5078 2022/06/27 19:09:05 - mmengine - INFO - Epoch(train) [5][2220/3757] lr: 1.000e-02 eta: 1 day, 1:54:53 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 5.6402 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5909 loss: 2.5909 2022/06/27 19:09:11 - mmengine - INFO - Epoch(train) [5][2240/3757] lr: 1.000e-02 eta: 1 day, 1:54:52 time: 0.202 data_time: 0.029 memory: 5150 grad_norm: 5.7270 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0968 loss: 3.0968 2022/06/27 19:09:16 - mmengine - INFO - Epoch(train) [5][2260/3757] lr: 1.000e-02 eta: 1 day, 1:54:50 time: 0.214 data_time: 0.050 memory: 5150 grad_norm: 5.6855 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5593 loss: 2.5593 2022/06/27 19:09:21 - mmengine - INFO - Epoch(train) [5][2280/3757] lr: 1.000e-02 eta: 1 day, 1:54:37 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 5.2524 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7855 loss: 2.7855 2022/06/27 19:09:27 - mmengine - INFO - Epoch(train) [5][2300/3757] lr: 1.000e-02 eta: 1 day, 1:54:52 time: 0.245 data_time: 0.015 memory: 5150 grad_norm: 6.0460 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9723 loss: 2.9723 2022/06/27 19:09:31 - mmengine - INFO - Epoch(train) [5][2320/3757] lr: 1.000e-02 eta: 1 day, 1:54:21 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.9517 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5248 loss: 2.5248 2022/06/27 19:09:36 - mmengine - INFO - Epoch(train) [5][2340/3757] lr: 1.000e-02 eta: 1 day, 1:54:00 time: 0.570 data_time: 0.007 memory: 5150 grad_norm: 6.1885 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7462 loss: 2.7462 2022/06/27 19:09:41 - mmengine - INFO - Epoch(train) [5][2360/3757] lr: 1.000e-02 eta: 1 day, 1:53:49 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5280 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5944 loss: 2.5944 2022/06/27 19:09:47 - mmengine - INFO - Epoch(train) [5][2380/3757] lr: 1.000e-02 eta: 1 day, 1:53:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9270 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.2208 loss: 3.2208 2022/06/27 19:09:52 - mmengine - INFO - Epoch(train) [5][2400/3757] lr: 1.000e-02 eta: 1 day, 1:54:00 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 5.9252 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9552 loss: 2.9552 2022/06/27 19:09:58 - mmengine - INFO - Epoch(train) [5][2420/3757] lr: 1.000e-02 eta: 1 day, 1:54:02 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.8569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3104 loss: 2.3104 2022/06/27 19:10:04 - mmengine - INFO - Epoch(train) [5][2440/3757] lr: 1.000e-02 eta: 1 day, 1:54:18 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.3426 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0692 loss: 3.0692 2022/06/27 19:10:08 - mmengine - INFO - Epoch(train) [5][2460/3757] lr: 1.000e-02 eta: 1 day, 1:53:58 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9990 loss: 2.9990 2022/06/27 19:10:14 - mmengine - INFO - Epoch(train) [5][2480/3757] lr: 1.000e-02 eta: 1 day, 1:54:00 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 6.2027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5259 loss: 2.5259 2022/06/27 19:10:19 - mmengine - INFO - Epoch(train) [5][2500/3757] lr: 1.000e-02 eta: 1 day, 1:53:55 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0496 loss: 3.0496 2022/06/27 19:10:25 - mmengine - INFO - Epoch(train) [5][2520/3757] lr: 1.000e-02 eta: 1 day, 1:53:55 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.9321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5722 loss: 2.5722 2022/06/27 19:10:30 - mmengine - INFO - Epoch(train) [5][2540/3757] lr: 1.000e-02 eta: 1 day, 1:53:59 time: 0.464 data_time: 0.006 memory: 5150 grad_norm: 6.4496 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.6166 loss: 2.6166 2022/06/27 19:10:36 - mmengine - INFO - Epoch(train) [5][2560/3757] lr: 1.000e-02 eta: 1 day, 1:54:00 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0983 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8739 loss: 2.8739 2022/06/27 19:10:41 - mmengine - INFO - Epoch(train) [5][2580/3757] lr: 1.000e-02 eta: 1 day, 1:53:49 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8880 loss: 2.8880 2022/06/27 19:10:47 - mmengine - INFO - Epoch(train) [5][2600/3757] lr: 1.000e-02 eta: 1 day, 1:53:57 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.2935 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8627 loss: 2.8627 2022/06/27 19:10:52 - mmengine - INFO - Epoch(train) [5][2620/3757] lr: 1.000e-02 eta: 1 day, 1:53:56 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2542 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.9381 loss: 2.9381 2022/06/27 19:10:57 - mmengine - INFO - Epoch(train) [5][2640/3757] lr: 1.000e-02 eta: 1 day, 1:53:43 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.8014 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6092 loss: 2.6092 2022/06/27 19:11:04 - mmengine - INFO - Epoch(train) [5][2660/3757] lr: 1.000e-02 eta: 1 day, 1:54:10 time: 0.220 data_time: 0.006 memory: 5150 grad_norm: 5.7664 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3670 loss: 2.3670 2022/06/27 19:11:08 - mmengine - INFO - Epoch(train) [5][2680/3757] lr: 1.000e-02 eta: 1 day, 1:53:43 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5615 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1072 loss: 3.1072 2022/06/27 19:11:13 - mmengine - INFO - Epoch(train) [5][2700/3757] lr: 1.000e-02 eta: 1 day, 1:53:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5636 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4949 loss: 2.4949 2022/06/27 19:11:19 - mmengine - INFO - Epoch(train) [5][2720/3757] lr: 1.000e-02 eta: 1 day, 1:53:45 time: 1.027 data_time: 0.007 memory: 5150 grad_norm: 5.8757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8831 loss: 2.8831 2022/06/27 19:11:25 - mmengine - INFO - Epoch(train) [5][2740/3757] lr: 1.000e-02 eta: 1 day, 1:54:01 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.7434 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8793 loss: 2.8793 2022/06/27 19:11:29 - mmengine - INFO - Epoch(train) [5][2760/3757] lr: 1.000e-02 eta: 1 day, 1:53:39 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.7599 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6862 loss: 2.6862 2022/06/27 19:11:35 - mmengine - INFO - Epoch(train) [5][2780/3757] lr: 1.000e-02 eta: 1 day, 1:53:48 time: 1.137 data_time: 0.006 memory: 5150 grad_norm: 5.6360 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6334 loss: 2.6334 2022/06/27 19:11:40 - mmengine - INFO - Epoch(train) [5][2800/3757] lr: 1.000e-02 eta: 1 day, 1:53:35 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.6412 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6389 loss: 2.6389 2022/06/27 19:11:46 - mmengine - INFO - Epoch(train) [5][2820/3757] lr: 1.000e-02 eta: 1 day, 1:53:40 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7425 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7446 loss: 2.7446 2022/06/27 19:11:51 - mmengine - INFO - Epoch(train) [5][2840/3757] lr: 1.000e-02 eta: 1 day, 1:53:34 time: 0.768 data_time: 0.010 memory: 5150 grad_norm: 5.4932 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6298 loss: 2.6298 2022/06/27 19:11:55 - mmengine - INFO - Epoch(train) [5][2860/3757] lr: 1.000e-02 eta: 1 day, 1:53:12 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 6.2103 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7629 loss: 2.7629 2022/06/27 19:12:01 - mmengine - INFO - Epoch(train) [5][2880/3757] lr: 1.000e-02 eta: 1 day, 1:53:12 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.3007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7756 loss: 2.7756 2022/06/27 19:12:06 - mmengine - INFO - Epoch(train) [5][2900/3757] lr: 1.000e-02 eta: 1 day, 1:53:13 time: 0.361 data_time: 0.010 memory: 5150 grad_norm: 6.0420 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8381 loss: 2.8381 2022/06/27 19:12:11 - mmengine - INFO - Epoch(train) [5][2920/3757] lr: 1.000e-02 eta: 1 day, 1:53:00 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 6.1229 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5386 loss: 2.5386 2022/06/27 19:12:17 - mmengine - INFO - Epoch(train) [5][2940/3757] lr: 1.000e-02 eta: 1 day, 1:53:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8576 loss: 2.8576 2022/06/27 19:12:22 - mmengine - INFO - Epoch(train) [5][2960/3757] lr: 1.000e-02 eta: 1 day, 1:52:56 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.8850 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2534 loss: 2.2534 2022/06/27 19:12:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:12:28 - mmengine - INFO - Epoch(train) [5][2980/3757] lr: 1.000e-02 eta: 1 day, 1:52:58 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 5.1171 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6477 loss: 2.6477 2022/06/27 19:12:32 - mmengine - INFO - Epoch(train) [5][3000/3757] lr: 1.000e-02 eta: 1 day, 1:52:49 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8478 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8231 loss: 2.8231 2022/06/27 19:12:38 - mmengine - INFO - Epoch(train) [5][3020/3757] lr: 1.000e-02 eta: 1 day, 1:52:53 time: 0.449 data_time: 0.007 memory: 5150 grad_norm: 5.3006 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8975 loss: 2.8975 2022/06/27 19:12:43 - mmengine - INFO - Epoch(train) [5][3040/3757] lr: 1.000e-02 eta: 1 day, 1:52:47 time: 0.195 data_time: 0.028 memory: 5150 grad_norm: 5.6174 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5718 loss: 2.5718 2022/06/27 19:12:49 - mmengine - INFO - Epoch(train) [5][3060/3757] lr: 1.000e-02 eta: 1 day, 1:52:43 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8819 loss: 2.8819 2022/06/27 19:12:54 - mmengine - INFO - Epoch(train) [5][3080/3757] lr: 1.000e-02 eta: 1 day, 1:52:36 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.5587 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2448 loss: 2.2448 2022/06/27 19:12:59 - mmengine - INFO - Epoch(train) [5][3100/3757] lr: 1.000e-02 eta: 1 day, 1:52:34 time: 0.194 data_time: 0.018 memory: 5150 grad_norm: 5.4276 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5134 loss: 2.5134 2022/06/27 19:13:04 - mmengine - INFO - Epoch(train) [5][3120/3757] lr: 1.000e-02 eta: 1 day, 1:52:30 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4162 loss: 2.4162 2022/06/27 19:13:10 - mmengine - INFO - Epoch(train) [5][3140/3757] lr: 1.000e-02 eta: 1 day, 1:52:31 time: 0.453 data_time: 0.019 memory: 5150 grad_norm: 5.3728 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5221 loss: 2.5221 2022/06/27 19:13:15 - mmengine - INFO - Epoch(train) [5][3160/3757] lr: 1.000e-02 eta: 1 day, 1:52:24 time: 0.197 data_time: 0.027 memory: 5150 grad_norm: 6.2935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6900 loss: 2.6900 2022/06/27 19:13:21 - mmengine - INFO - Epoch(train) [5][3180/3757] lr: 1.000e-02 eta: 1 day, 1:52:25 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9080 loss: 2.9080 2022/06/27 19:13:26 - mmengine - INFO - Epoch(train) [5][3200/3757] lr: 1.000e-02 eta: 1 day, 1:52:22 time: 0.247 data_time: 0.007 memory: 5150 grad_norm: 5.9566 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6763 loss: 2.6763 2022/06/27 19:13:31 - mmengine - INFO - Epoch(train) [5][3220/3757] lr: 1.000e-02 eta: 1 day, 1:52:14 time: 0.210 data_time: 0.044 memory: 5150 grad_norm: 5.8760 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8871 loss: 2.8871 2022/06/27 19:13:36 - mmengine - INFO - Epoch(train) [5][3240/3757] lr: 1.000e-02 eta: 1 day, 1:52:15 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3468 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9899 loss: 2.9899 2022/06/27 19:13:42 - mmengine - INFO - Epoch(train) [5][3260/3757] lr: 1.000e-02 eta: 1 day, 1:52:19 time: 0.949 data_time: 0.007 memory: 5150 grad_norm: 5.6949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4607 loss: 2.4607 2022/06/27 19:13:47 - mmengine - INFO - Epoch(train) [5][3280/3757] lr: 1.000e-02 eta: 1 day, 1:52:08 time: 0.194 data_time: 0.020 memory: 5150 grad_norm: 5.8551 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0507 loss: 3.0507 2022/06/27 19:13:53 - mmengine - INFO - Epoch(train) [5][3300/3757] lr: 1.000e-02 eta: 1 day, 1:52:17 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.1972 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1981 loss: 2.1981 2022/06/27 19:13:58 - mmengine - INFO - Epoch(train) [5][3320/3757] lr: 1.000e-02 eta: 1 day, 1:52:08 time: 0.618 data_time: 0.006 memory: 5150 grad_norm: 5.4393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6081 loss: 2.6081 2022/06/27 19:14:03 - mmengine - INFO - Epoch(train) [5][3340/3757] lr: 1.000e-02 eta: 1 day, 1:52:06 time: 0.199 data_time: 0.019 memory: 5150 grad_norm: 5.1852 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8605 loss: 2.8605 2022/06/27 19:14:09 - mmengine - INFO - Epoch(train) [5][3360/3757] lr: 1.000e-02 eta: 1 day, 1:52:05 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.1880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8331 loss: 2.8331 2022/06/27 19:14:14 - mmengine - INFO - Epoch(train) [5][3380/3757] lr: 1.000e-02 eta: 1 day, 1:52:00 time: 0.733 data_time: 0.006 memory: 5150 grad_norm: 5.4469 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.9622 loss: 2.9622 2022/06/27 19:14:19 - mmengine - INFO - Epoch(train) [5][3400/3757] lr: 1.000e-02 eta: 1 day, 1:51:53 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 5.5562 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.3544 loss: 2.3544 2022/06/27 19:14:24 - mmengine - INFO - Epoch(train) [5][3420/3757] lr: 1.000e-02 eta: 1 day, 1:51:49 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 6.0723 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2328 loss: 2.2328 2022/06/27 19:14:30 - mmengine - INFO - Epoch(train) [5][3440/3757] lr: 1.000e-02 eta: 1 day, 1:51:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1572 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.8612 loss: 2.8612 2022/06/27 19:14:35 - mmengine - INFO - Epoch(train) [5][3460/3757] lr: 1.000e-02 eta: 1 day, 1:51:41 time: 0.595 data_time: 0.424 memory: 5150 grad_norm: 5.4945 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0624 loss: 3.0624 2022/06/27 19:14:40 - mmengine - INFO - Epoch(train) [5][3480/3757] lr: 1.000e-02 eta: 1 day, 1:51:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7253 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8535 loss: 2.8535 2022/06/27 19:14:45 - mmengine - INFO - Epoch(train) [5][3500/3757] lr: 1.000e-02 eta: 1 day, 1:51:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7060 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2731 loss: 3.2731 2022/06/27 19:14:51 - mmengine - INFO - Epoch(train) [5][3520/3757] lr: 1.000e-02 eta: 1 day, 1:51:27 time: 0.624 data_time: 0.455 memory: 5150 grad_norm: 5.2809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5525 loss: 2.5525 2022/06/27 19:14:56 - mmengine - INFO - Epoch(train) [5][3540/3757] lr: 1.000e-02 eta: 1 day, 1:51:25 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.9315 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7580 loss: 2.7580 2022/06/27 19:15:02 - mmengine - INFO - Epoch(train) [5][3560/3757] lr: 1.000e-02 eta: 1 day, 1:51:23 time: 0.423 data_time: 0.008 memory: 5150 grad_norm: 6.0605 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7485 loss: 2.7485 2022/06/27 19:15:07 - mmengine - INFO - Epoch(train) [5][3580/3757] lr: 1.000e-02 eta: 1 day, 1:51:24 time: 0.646 data_time: 0.481 memory: 5150 grad_norm: 6.7159 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7180 loss: 2.7180 2022/06/27 19:15:12 - mmengine - INFO - Epoch(train) [5][3600/3757] lr: 1.000e-02 eta: 1 day, 1:51:12 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 4.9903 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6197 loss: 2.6197 2022/06/27 19:15:17 - mmengine - INFO - Epoch(train) [5][3620/3757] lr: 1.000e-02 eta: 1 day, 1:51:12 time: 0.733 data_time: 0.011 memory: 5150 grad_norm: 5.8313 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6077 loss: 2.6077 2022/06/27 19:15:23 - mmengine - INFO - Epoch(train) [5][3640/3757] lr: 1.000e-02 eta: 1 day, 1:51:17 time: 0.214 data_time: 0.042 memory: 5150 grad_norm: 5.2367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4090 loss: 2.4090 2022/06/27 19:15:28 - mmengine - INFO - Epoch(train) [5][3660/3757] lr: 1.000e-02 eta: 1 day, 1:51:11 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.2315 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.7968 loss: 2.7968 2022/06/27 19:15:34 - mmengine - INFO - Epoch(train) [5][3680/3757] lr: 1.000e-02 eta: 1 day, 1:51:09 time: 0.863 data_time: 0.007 memory: 5150 grad_norm: 5.5805 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2526 loss: 2.2526 2022/06/27 19:15:38 - mmengine - INFO - Epoch(train) [5][3700/3757] lr: 1.000e-02 eta: 1 day, 1:50:48 time: 0.201 data_time: 0.027 memory: 5150 grad_norm: 5.9683 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.1912 loss: 3.1912 2022/06/27 19:15:44 - mmengine - INFO - Epoch(train) [5][3720/3757] lr: 1.000e-02 eta: 1 day, 1:51:03 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 4.9396 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.7945 loss: 2.7945 2022/06/27 19:15:49 - mmengine - INFO - Epoch(train) [5][3740/3757] lr: 1.000e-02 eta: 1 day, 1:50:38 time: 0.268 data_time: 0.006 memory: 5150 grad_norm: 6.0210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8470 loss: 2.8470 2022/06/27 19:15:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:15:52 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/06/27 19:16:27 - mmengine - INFO - Epoch(val) [5][20/310] eta: 0:05:37 time: 1.010 data_time: 0.377 memory: 9746 2022/06/27 19:16:49 - mmengine - INFO - Epoch(val) [5][40/310] eta: 0:04:47 time: 0.972 data_time: 0.315 memory: 9746 2022/06/27 19:17:13 - mmengine - INFO - Epoch(val) [5][60/310] eta: 0:04:22 time: 1.056 data_time: 0.423 memory: 9746 2022/06/27 19:17:36 - mmengine - INFO - Epoch(val) [5][80/310] eta: 0:04:33 time: 1.128 data_time: 0.470 memory: 9746 2022/06/27 19:17:59 - mmengine - INFO - Epoch(val) [5][100/310] eta: 0:04:03 time: 2.346 data_time: 1.664 memory: 9746 2022/06/27 19:18:20 - mmengine - INFO - Epoch(val) [5][120/310] eta: 0:03:33 time: 1.103 data_time: 0.464 memory: 9746 2022/06/27 19:18:45 - mmengine - INFO - Epoch(val) [5][140/310] eta: 0:03:19 time: 1.078 data_time: 0.440 memory: 9746 2022/06/27 19:19:09 - mmengine - INFO - Epoch(val) [5][160/310] eta: 0:03:13 time: 3.364 data_time: 2.678 memory: 9746 2022/06/27 19:19:33 - mmengine - INFO - Epoch(val) [5][180/310] eta: 0:02:48 time: 0.929 data_time: 0.276 memory: 9746 2022/06/27 19:19:55 - mmengine - INFO - Epoch(val) [5][200/310] eta: 0:02:03 time: 1.212 data_time: 0.577 memory: 9746 2022/06/27 19:20:16 - mmengine - INFO - Epoch(val) [5][220/310] eta: 0:01:34 time: 1.006 data_time: 0.351 memory: 9746 2022/06/27 19:20:37 - mmengine - INFO - Epoch(val) [5][240/310] eta: 0:01:15 time: 0.990 data_time: 0.345 memory: 9746 2022/06/27 19:21:00 - mmengine - INFO - Epoch(val) [5][260/310] eta: 0:00:58 time: 1.038 data_time: 0.404 memory: 9746 2022/06/27 19:21:24 - mmengine - INFO - Epoch(val) [5][280/310] eta: 0:00:34 time: 1.518 data_time: 0.902 memory: 9746 2022/06/27 19:21:43 - mmengine - INFO - Epoch(val) [5][300/310] eta: 0:00:08 time: 0.638 data_time: 0.069 memory: 9746 2022/06/27 19:21:54 - mmengine - INFO - Epoch(val) [5][310/310] acc/top1: 0.4792 acc/top5: 0.7485 acc/mean1: 0.4791 2022/06/27 19:22:03 - mmengine - INFO - Epoch(train) [6][20/3757] lr: 1.000e-02 eta: 1 day, 1:50:48 time: 0.192 data_time: 0.007 memory: 9746 grad_norm: 5.5947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7837 loss: 2.7837 2022/06/27 19:22:08 - mmengine - INFO - Epoch(train) [6][40/3757] lr: 1.000e-02 eta: 1 day, 1:50:50 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8092 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1048 loss: 2.1048 2022/06/27 19:22:13 - mmengine - INFO - Epoch(train) [6][60/3757] lr: 1.000e-02 eta: 1 day, 1:50:34 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2686 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2881 loss: 2.2881 2022/06/27 19:22:18 - mmengine - INFO - Epoch(train) [6][80/3757] lr: 1.000e-02 eta: 1 day, 1:50:28 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9430 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5755 loss: 2.5755 2022/06/27 19:22:24 - mmengine - INFO - Epoch(train) [6][100/3757] lr: 1.000e-02 eta: 1 day, 1:50:32 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 4.8617 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5395 loss: 2.5395 2022/06/27 19:22:28 - mmengine - INFO - Epoch(train) [6][120/3757] lr: 1.000e-02 eta: 1 day, 1:50:16 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.2685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5502 loss: 2.5502 2022/06/27 19:22:34 - mmengine - INFO - Epoch(train) [6][140/3757] lr: 1.000e-02 eta: 1 day, 1:50:24 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.9760 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8621 loss: 2.8621 2022/06/27 19:22:39 - mmengine - INFO - Epoch(train) [6][160/3757] lr: 1.000e-02 eta: 1 day, 1:50:19 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4635 loss: 2.4635 2022/06/27 19:22:44 - mmengine - INFO - Epoch(train) [6][180/3757] lr: 1.000e-02 eta: 1 day, 1:50:07 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.1626 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8205 loss: 2.8205 2022/06/27 19:22:50 - mmengine - INFO - Epoch(train) [6][200/3757] lr: 1.000e-02 eta: 1 day, 1:50:08 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.4752 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7618 loss: 2.7618 2022/06/27 19:22:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:22:55 - mmengine - INFO - Epoch(train) [6][220/3757] lr: 1.000e-02 eta: 1 day, 1:50:10 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6079 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7576 loss: 2.7576 2022/06/27 19:23:00 - mmengine - INFO - Epoch(train) [6][240/3757] lr: 1.000e-02 eta: 1 day, 1:49:55 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.3439 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9193 loss: 2.9193 2022/06/27 19:23:06 - mmengine - INFO - Epoch(train) [6][260/3757] lr: 1.000e-02 eta: 1 day, 1:50:06 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.7841 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8535 loss: 2.8535 2022/06/27 19:23:11 - mmengine - INFO - Epoch(train) [6][280/3757] lr: 1.000e-02 eta: 1 day, 1:50:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.2722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6889 loss: 2.6889 2022/06/27 19:23:17 - mmengine - INFO - Epoch(train) [6][300/3757] lr: 1.000e-02 eta: 1 day, 1:49:54 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.0906 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6428 loss: 2.6428 2022/06/27 19:23:22 - mmengine - INFO - Epoch(train) [6][320/3757] lr: 1.000e-02 eta: 1 day, 1:49:45 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2024 loss: 3.2024 2022/06/27 19:23:27 - mmengine - INFO - Epoch(train) [6][340/3757] lr: 1.000e-02 eta: 1 day, 1:49:47 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.3917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7496 loss: 2.7496 2022/06/27 19:23:32 - mmengine - INFO - Epoch(train) [6][360/3757] lr: 1.000e-02 eta: 1 day, 1:49:34 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.1006 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8985 loss: 2.8985 2022/06/27 19:23:38 - mmengine - INFO - Epoch(train) [6][380/3757] lr: 1.000e-02 eta: 1 day, 1:49:38 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0502 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 3.0008 loss: 3.0008 2022/06/27 19:23:43 - mmengine - INFO - Epoch(train) [6][400/3757] lr: 1.000e-02 eta: 1 day, 1:49:37 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.3099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8040 loss: 2.8040 2022/06/27 19:23:48 - mmengine - INFO - Epoch(train) [6][420/3757] lr: 1.000e-02 eta: 1 day, 1:49:29 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8346 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7129 loss: 2.7129 2022/06/27 19:23:54 - mmengine - INFO - Epoch(train) [6][440/3757] lr: 1.000e-02 eta: 1 day, 1:49:36 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 6.2916 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5880 loss: 2.5880 2022/06/27 19:24:00 - mmengine - INFO - Epoch(train) [6][460/3757] lr: 1.000e-02 eta: 1 day, 1:49:36 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.9578 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1482 loss: 2.1482 2022/06/27 19:24:04 - mmengine - INFO - Epoch(train) [6][480/3757] lr: 1.000e-02 eta: 1 day, 1:49:22 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6728 loss: 2.6728 2022/06/27 19:24:10 - mmengine - INFO - Epoch(train) [6][500/3757] lr: 1.000e-02 eta: 1 day, 1:49:21 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3230 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7071 loss: 2.7071 2022/06/27 19:24:15 - mmengine - INFO - Epoch(train) [6][520/3757] lr: 1.000e-02 eta: 1 day, 1:49:21 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.0537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3439 loss: 2.3439 2022/06/27 19:24:20 - mmengine - INFO - Epoch(train) [6][540/3757] lr: 1.000e-02 eta: 1 day, 1:49:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7219 loss: 2.7219 2022/06/27 19:24:25 - mmengine - INFO - Epoch(train) [6][560/3757] lr: 1.000e-02 eta: 1 day, 1:49:02 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.7827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7854 loss: 2.7854 2022/06/27 19:24:30 - mmengine - INFO - Epoch(train) [6][580/3757] lr: 1.000e-02 eta: 1 day, 1:48:54 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.1151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9708 loss: 2.9708 2022/06/27 19:24:36 - mmengine - INFO - Epoch(train) [6][600/3757] lr: 1.000e-02 eta: 1 day, 1:48:59 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.1041 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4483 loss: 2.4483 2022/06/27 19:24:41 - mmengine - INFO - Epoch(train) [6][620/3757] lr: 1.000e-02 eta: 1 day, 1:48:47 time: 0.550 data_time: 0.007 memory: 5150 grad_norm: 5.7261 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6928 loss: 2.6928 2022/06/27 19:24:46 - mmengine - INFO - Epoch(train) [6][640/3757] lr: 1.000e-02 eta: 1 day, 1:48:37 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.0496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4741 loss: 2.4741 2022/06/27 19:24:51 - mmengine - INFO - Epoch(train) [6][660/3757] lr: 1.000e-02 eta: 1 day, 1:48:32 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 5.5818 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8927 loss: 2.8927 2022/06/27 19:24:57 - mmengine - INFO - Epoch(train) [6][680/3757] lr: 1.000e-02 eta: 1 day, 1:48:38 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3798 loss: 2.3798 2022/06/27 19:25:02 - mmengine - INFO - Epoch(train) [6][700/3757] lr: 1.000e-02 eta: 1 day, 1:48:21 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.6683 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5400 loss: 2.5400 2022/06/27 19:25:07 - mmengine - INFO - Epoch(train) [6][720/3757] lr: 1.000e-02 eta: 1 day, 1:48:25 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.4863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5436 loss: 2.5436 2022/06/27 19:25:12 - mmengine - INFO - Epoch(train) [6][740/3757] lr: 1.000e-02 eta: 1 day, 1:48:19 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 6.3461 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8318 loss: 2.8318 2022/06/27 19:25:18 - mmengine - INFO - Epoch(train) [6][760/3757] lr: 1.000e-02 eta: 1 day, 1:48:18 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 5.3849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4405 loss: 2.4405 2022/06/27 19:25:23 - mmengine - INFO - Epoch(train) [6][780/3757] lr: 1.000e-02 eta: 1 day, 1:48:17 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.6640 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9791 loss: 2.9791 2022/06/27 19:25:29 - mmengine - INFO - Epoch(train) [6][800/3757] lr: 1.000e-02 eta: 1 day, 1:48:18 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 6.2628 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0789 loss: 2.0789 2022/06/27 19:25:34 - mmengine - INFO - Epoch(train) [6][820/3757] lr: 1.000e-02 eta: 1 day, 1:48:12 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.1062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7600 loss: 2.7600 2022/06/27 19:25:40 - mmengine - INFO - Epoch(train) [6][840/3757] lr: 1.000e-02 eta: 1 day, 1:48:13 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.2378 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5176 loss: 2.5176 2022/06/27 19:25:46 - mmengine - INFO - Epoch(train) [6][860/3757] lr: 1.000e-02 eta: 1 day, 1:48:20 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.6429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1321 loss: 2.1321 2022/06/27 19:25:50 - mmengine - INFO - Epoch(train) [6][880/3757] lr: 1.000e-02 eta: 1 day, 1:48:06 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.6984 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0092 loss: 3.0092 2022/06/27 19:25:56 - mmengine - INFO - Epoch(train) [6][900/3757] lr: 1.000e-02 eta: 1 day, 1:48:08 time: 0.186 data_time: 0.011 memory: 5150 grad_norm: 5.5070 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1470 loss: 3.1470 2022/06/27 19:26:02 - mmengine - INFO - Epoch(train) [6][920/3757] lr: 1.000e-02 eta: 1 day, 1:48:14 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.2064 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5393 loss: 2.5393 2022/06/27 19:26:06 - mmengine - INFO - Epoch(train) [6][940/3757] lr: 1.000e-02 eta: 1 day, 1:47:59 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2867 loss: 2.2867 2022/06/27 19:26:12 - mmengine - INFO - Epoch(train) [6][960/3757] lr: 1.000e-02 eta: 1 day, 1:47:55 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5612 loss: 2.5612 2022/06/27 19:26:17 - mmengine - INFO - Epoch(train) [6][980/3757] lr: 1.000e-02 eta: 1 day, 1:47:58 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 5.7674 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6317 loss: 2.6317 2022/06/27 19:26:22 - mmengine - INFO - Epoch(train) [6][1000/3757] lr: 1.000e-02 eta: 1 day, 1:47:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7497 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4330 loss: 2.4330 2022/06/27 19:26:28 - mmengine - INFO - Epoch(train) [6][1020/3757] lr: 1.000e-02 eta: 1 day, 1:47:46 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9413 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6649 loss: 2.6649 2022/06/27 19:26:34 - mmengine - INFO - Epoch(train) [6][1040/3757] lr: 1.000e-02 eta: 1 day, 1:47:57 time: 0.232 data_time: 0.048 memory: 5150 grad_norm: 5.7833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4000 loss: 2.4000 2022/06/27 19:26:38 - mmengine - INFO - Epoch(train) [6][1060/3757] lr: 1.000e-02 eta: 1 day, 1:47:40 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2643 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.9591 loss: 2.9591 2022/06/27 19:26:44 - mmengine - INFO - Epoch(train) [6][1080/3757] lr: 1.000e-02 eta: 1 day, 1:47:42 time: 0.326 data_time: 0.007 memory: 5150 grad_norm: 5.0941 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7690 loss: 2.7690 2022/06/27 19:26:49 - mmengine - INFO - Epoch(train) [6][1100/3757] lr: 1.000e-02 eta: 1 day, 1:47:42 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 5.7223 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3695 loss: 2.3695 2022/06/27 19:26:54 - mmengine - INFO - Epoch(train) [6][1120/3757] lr: 1.000e-02 eta: 1 day, 1:47:30 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.1860 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6939 loss: 2.6939 2022/06/27 19:27:00 - mmengine - INFO - Epoch(train) [6][1140/3757] lr: 1.000e-02 eta: 1 day, 1:47:28 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.0396 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3505 loss: 2.3505 2022/06/27 19:27:05 - mmengine - INFO - Epoch(train) [6][1160/3757] lr: 1.000e-02 eta: 1 day, 1:47:27 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.8106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5430 loss: 2.5430 2022/06/27 19:27:11 - mmengine - INFO - Epoch(train) [6][1180/3757] lr: 1.000e-02 eta: 1 day, 1:47:31 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.7005 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6699 loss: 2.6699 2022/06/27 19:27:16 - mmengine - INFO - Epoch(train) [6][1200/3757] lr: 1.000e-02 eta: 1 day, 1:47:29 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6010 loss: 2.6010 2022/06/27 19:27:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:27:21 - mmengine - INFO - Epoch(train) [6][1220/3757] lr: 1.000e-02 eta: 1 day, 1:47:15 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 6.4891 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3917 loss: 2.3917 2022/06/27 19:27:27 - mmengine - INFO - Epoch(train) [6][1240/3757] lr: 1.000e-02 eta: 1 day, 1:47:18 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.8125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5918 loss: 2.5918 2022/06/27 19:27:32 - mmengine - INFO - Epoch(train) [6][1260/3757] lr: 1.000e-02 eta: 1 day, 1:47:07 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.3060 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2270 loss: 2.2270 2022/06/27 19:27:37 - mmengine - INFO - Epoch(train) [6][1280/3757] lr: 1.000e-02 eta: 1 day, 1:47:10 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.6281 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4623 loss: 2.4623 2022/06/27 19:27:43 - mmengine - INFO - Epoch(train) [6][1300/3757] lr: 1.000e-02 eta: 1 day, 1:47:09 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5734 loss: 2.5734 2022/06/27 19:27:47 - mmengine - INFO - Epoch(train) [6][1320/3757] lr: 1.000e-02 eta: 1 day, 1:46:51 time: 0.189 data_time: 0.012 memory: 5150 grad_norm: 6.3253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2394 loss: 2.2394 2022/06/27 19:27:53 - mmengine - INFO - Epoch(train) [6][1340/3757] lr: 1.000e-02 eta: 1 day, 1:46:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1823 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3907 loss: 2.3907 2022/06/27 19:27:58 - mmengine - INFO - Epoch(train) [6][1360/3757] lr: 1.000e-02 eta: 1 day, 1:46:47 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9088 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8457 loss: 2.8457 2022/06/27 19:28:04 - mmengine - INFO - Epoch(train) [6][1380/3757] lr: 1.000e-02 eta: 1 day, 1:46:59 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 5.9902 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2741 loss: 2.2741 2022/06/27 19:28:09 - mmengine - INFO - Epoch(train) [6][1400/3757] lr: 1.000e-02 eta: 1 day, 1:46:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4620 loss: 2.4620 2022/06/27 19:28:15 - mmengine - INFO - Epoch(train) [6][1420/3757] lr: 1.000e-02 eta: 1 day, 1:46:51 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.6794 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3658 loss: 2.3658 2022/06/27 19:28:20 - mmengine - INFO - Epoch(train) [6][1440/3757] lr: 1.000e-02 eta: 1 day, 1:46:45 time: 0.210 data_time: 0.017 memory: 5150 grad_norm: 6.0113 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2635 loss: 2.2635 2022/06/27 19:28:26 - mmengine - INFO - Epoch(train) [6][1460/3757] lr: 1.000e-02 eta: 1 day, 1:46:53 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4064 loss: 2.4064 2022/06/27 19:28:31 - mmengine - INFO - Epoch(train) [6][1480/3757] lr: 1.000e-02 eta: 1 day, 1:46:46 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.8037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6877 loss: 2.6877 2022/06/27 19:28:36 - mmengine - INFO - Epoch(train) [6][1500/3757] lr: 1.000e-02 eta: 1 day, 1:46:42 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 6.0443 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5995 loss: 2.5995 2022/06/27 19:28:42 - mmengine - INFO - Epoch(train) [6][1520/3757] lr: 1.000e-02 eta: 1 day, 1:46:50 time: 0.190 data_time: 0.016 memory: 5150 grad_norm: 5.0977 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4100 loss: 2.4100 2022/06/27 19:28:47 - mmengine - INFO - Epoch(train) [6][1540/3757] lr: 1.000e-02 eta: 1 day, 1:46:34 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.7469 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4316 loss: 2.4316 2022/06/27 19:28:52 - mmengine - INFO - Epoch(train) [6][1560/3757] lr: 1.000e-02 eta: 1 day, 1:46:32 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 6.5522 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5242 loss: 2.5242 2022/06/27 19:28:58 - mmengine - INFO - Epoch(train) [6][1580/3757] lr: 1.000e-02 eta: 1 day, 1:46:36 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3593 loss: 2.3593 2022/06/27 19:29:03 - mmengine - INFO - Epoch(train) [6][1600/3757] lr: 1.000e-02 eta: 1 day, 1:46:30 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8959 loss: 2.8959 2022/06/27 19:29:09 - mmengine - INFO - Epoch(train) [6][1620/3757] lr: 1.000e-02 eta: 1 day, 1:46:25 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.8201 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.6062 loss: 2.6062 2022/06/27 19:29:14 - mmengine - INFO - Epoch(train) [6][1640/3757] lr: 1.000e-02 eta: 1 day, 1:46:20 time: 0.306 data_time: 0.010 memory: 5150 grad_norm: 5.6931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7470 loss: 2.7470 2022/06/27 19:29:18 - mmengine - INFO - Epoch(train) [6][1660/3757] lr: 1.000e-02 eta: 1 day, 1:46:04 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.4056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1553 loss: 2.1553 2022/06/27 19:29:24 - mmengine - INFO - Epoch(train) [6][1680/3757] lr: 1.000e-02 eta: 1 day, 1:46:10 time: 0.208 data_time: 0.026 memory: 5150 grad_norm: 5.4972 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9462 loss: 2.9462 2022/06/27 19:29:30 - mmengine - INFO - Epoch(train) [6][1700/3757] lr: 1.000e-02 eta: 1 day, 1:46:05 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.6436 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7307 loss: 2.7307 2022/06/27 19:29:35 - mmengine - INFO - Epoch(train) [6][1720/3757] lr: 1.000e-02 eta: 1 day, 1:45:59 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.2132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9086 loss: 2.9086 2022/06/27 19:29:39 - mmengine - INFO - Epoch(train) [6][1740/3757] lr: 1.000e-02 eta: 1 day, 1:45:45 time: 0.200 data_time: 0.031 memory: 5150 grad_norm: 5.0913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7031 loss: 2.7031 2022/06/27 19:29:45 - mmengine - INFO - Epoch(train) [6][1760/3757] lr: 1.000e-02 eta: 1 day, 1:45:43 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 5.1552 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7494 loss: 2.7494 2022/06/27 19:29:50 - mmengine - INFO - Epoch(train) [6][1780/3757] lr: 1.000e-02 eta: 1 day, 1:45:39 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.6813 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6052 loss: 2.6052 2022/06/27 19:29:56 - mmengine - INFO - Epoch(train) [6][1800/3757] lr: 1.000e-02 eta: 1 day, 1:45:41 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 5.4465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3628 loss: 2.3628 2022/06/27 19:30:01 - mmengine - INFO - Epoch(train) [6][1820/3757] lr: 1.000e-02 eta: 1 day, 1:45:34 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.2459 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7702 loss: 2.7702 2022/06/27 19:30:06 - mmengine - INFO - Epoch(train) [6][1840/3757] lr: 1.000e-02 eta: 1 day, 1:45:31 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.6082 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9143 loss: 2.9143 2022/06/27 19:30:11 - mmengine - INFO - Epoch(train) [6][1860/3757] lr: 1.000e-02 eta: 1 day, 1:45:23 time: 0.204 data_time: 0.028 memory: 5150 grad_norm: 5.8721 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.5251 loss: 2.5251 2022/06/27 19:30:17 - mmengine - INFO - Epoch(train) [6][1880/3757] lr: 1.000e-02 eta: 1 day, 1:45:18 time: 0.201 data_time: 0.028 memory: 5150 grad_norm: 5.8637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7300 loss: 2.7300 2022/06/27 19:30:22 - mmengine - INFO - Epoch(train) [6][1900/3757] lr: 1.000e-02 eta: 1 day, 1:45:10 time: 0.188 data_time: 0.007 memory: 5150 grad_norm: 5.7620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8609 loss: 2.8609 2022/06/27 19:30:27 - mmengine - INFO - Epoch(train) [6][1920/3757] lr: 1.000e-02 eta: 1 day, 1:45:13 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7694 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4961 loss: 2.4961 2022/06/27 19:30:33 - mmengine - INFO - Epoch(train) [6][1940/3757] lr: 1.000e-02 eta: 1 day, 1:45:11 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.7354 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6166 loss: 2.6166 2022/06/27 19:30:38 - mmengine - INFO - Epoch(train) [6][1960/3757] lr: 1.000e-02 eta: 1 day, 1:45:03 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.8901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9292 loss: 2.9292 2022/06/27 19:30:43 - mmengine - INFO - Epoch(train) [6][1980/3757] lr: 1.000e-02 eta: 1 day, 1:44:57 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.6824 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8864 loss: 2.8864 2022/06/27 19:30:48 - mmengine - INFO - Epoch(train) [6][2000/3757] lr: 1.000e-02 eta: 1 day, 1:44:49 time: 0.192 data_time: 0.018 memory: 5150 grad_norm: 5.7954 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9011 loss: 2.9011 2022/06/27 19:30:54 - mmengine - INFO - Epoch(train) [6][2020/3757] lr: 1.000e-02 eta: 1 day, 1:44:52 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5931 loss: 2.5931 2022/06/27 19:30:59 - mmengine - INFO - Epoch(train) [6][2040/3757] lr: 1.000e-02 eta: 1 day, 1:44:50 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8076 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0374 loss: 3.0374 2022/06/27 19:31:04 - mmengine - INFO - Epoch(train) [6][2060/3757] lr: 1.000e-02 eta: 1 day, 1:44:35 time: 0.196 data_time: 0.022 memory: 5150 grad_norm: 5.2839 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3365 loss: 2.3365 2022/06/27 19:31:10 - mmengine - INFO - Epoch(train) [6][2080/3757] lr: 1.000e-02 eta: 1 day, 1:44:37 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.5078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8688 loss: 2.8688 2022/06/27 19:31:16 - mmengine - INFO - Epoch(train) [6][2100/3757] lr: 1.000e-02 eta: 1 day, 1:44:48 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.9277 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3296 loss: 2.3296 2022/06/27 19:31:20 - mmengine - INFO - Epoch(train) [6][2120/3757] lr: 1.000e-02 eta: 1 day, 1:44:29 time: 0.192 data_time: 0.021 memory: 5150 grad_norm: 5.4568 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6628 loss: 2.6628 2022/06/27 19:31:25 - mmengine - INFO - Epoch(train) [6][2140/3757] lr: 1.000e-02 eta: 1 day, 1:44:26 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.4680 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5524 loss: 2.5524 2022/06/27 19:31:31 - mmengine - INFO - Epoch(train) [6][2160/3757] lr: 1.000e-02 eta: 1 day, 1:44:18 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.0764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1745 loss: 2.1745 2022/06/27 19:31:36 - mmengine - INFO - Epoch(train) [6][2180/3757] lr: 1.000e-02 eta: 1 day, 1:44:17 time: 0.193 data_time: 0.016 memory: 5150 grad_norm: 5.8478 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0248 loss: 3.0248 2022/06/27 19:31:41 - mmengine - INFO - Epoch(train) [6][2200/3757] lr: 1.000e-02 eta: 1 day, 1:44:09 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.8790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3570 loss: 2.3570 2022/06/27 19:31:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:31:47 - mmengine - INFO - Epoch(train) [6][2220/3757] lr: 1.000e-02 eta: 1 day, 1:44:14 time: 0.197 data_time: 0.028 memory: 5150 grad_norm: 5.5102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7753 loss: 2.7753 2022/06/27 19:31:52 - mmengine - INFO - Epoch(train) [6][2240/3757] lr: 1.000e-02 eta: 1 day, 1:44:04 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.6499 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9368 loss: 2.9368 2022/06/27 19:31:57 - mmengine - INFO - Epoch(train) [6][2260/3757] lr: 1.000e-02 eta: 1 day, 1:44:00 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.7870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5418 loss: 2.5418 2022/06/27 19:32:02 - mmengine - INFO - Epoch(train) [6][2280/3757] lr: 1.000e-02 eta: 1 day, 1:43:55 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.1721 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8287 loss: 2.8287 2022/06/27 19:32:07 - mmengine - INFO - Epoch(train) [6][2300/3757] lr: 1.000e-02 eta: 1 day, 1:43:43 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.2434 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9148 loss: 2.9148 2022/06/27 19:32:12 - mmengine - INFO - Epoch(train) [6][2320/3757] lr: 1.000e-02 eta: 1 day, 1:43:38 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.7963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8943 loss: 2.8943 2022/06/27 19:32:18 - mmengine - INFO - Epoch(train) [6][2340/3757] lr: 1.000e-02 eta: 1 day, 1:43:34 time: 0.199 data_time: 0.027 memory: 5150 grad_norm: 5.4171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5522 loss: 2.5522 2022/06/27 19:32:23 - mmengine - INFO - Epoch(train) [6][2360/3757] lr: 1.000e-02 eta: 1 day, 1:43:27 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.7164 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2955 loss: 2.2955 2022/06/27 19:32:28 - mmengine - INFO - Epoch(train) [6][2380/3757] lr: 1.000e-02 eta: 1 day, 1:43:22 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.3420 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6633 loss: 2.6633 2022/06/27 19:32:34 - mmengine - INFO - Epoch(train) [6][2400/3757] lr: 1.000e-02 eta: 1 day, 1:43:24 time: 0.205 data_time: 0.029 memory: 5150 grad_norm: 5.4052 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6274 loss: 2.6274 2022/06/27 19:32:39 - mmengine - INFO - Epoch(train) [6][2420/3757] lr: 1.000e-02 eta: 1 day, 1:43:20 time: 0.271 data_time: 0.006 memory: 5150 grad_norm: 5.4217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4931 loss: 2.4931 2022/06/27 19:32:44 - mmengine - INFO - Epoch(train) [6][2440/3757] lr: 1.000e-02 eta: 1 day, 1:43:09 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8145 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5055 loss: 2.5055 2022/06/27 19:32:50 - mmengine - INFO - Epoch(train) [6][2460/3757] lr: 1.000e-02 eta: 1 day, 1:43:14 time: 0.207 data_time: 0.037 memory: 5150 grad_norm: 5.7835 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1424 loss: 2.1424 2022/06/27 19:32:55 - mmengine - INFO - Epoch(train) [6][2480/3757] lr: 1.000e-02 eta: 1 day, 1:43:14 time: 0.442 data_time: 0.011 memory: 5150 grad_norm: 5.6525 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5460 loss: 2.5460 2022/06/27 19:33:00 - mmengine - INFO - Epoch(train) [6][2500/3757] lr: 1.000e-02 eta: 1 day, 1:43:00 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 6.2897 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5979 loss: 2.5979 2022/06/27 19:33:07 - mmengine - INFO - Epoch(train) [6][2520/3757] lr: 1.000e-02 eta: 1 day, 1:43:21 time: 0.205 data_time: 0.030 memory: 5150 grad_norm: 5.8233 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8231 loss: 2.8231 2022/06/27 19:33:11 - mmengine - INFO - Epoch(train) [6][2540/3757] lr: 1.000e-02 eta: 1 day, 1:42:58 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 4.9138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5757 loss: 2.5757 2022/06/27 19:33:15 - mmengine - INFO - Epoch(train) [6][2560/3757] lr: 1.000e-02 eta: 1 day, 1:42:33 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.5438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3312 loss: 2.3312 2022/06/27 19:33:20 - mmengine - INFO - Epoch(train) [6][2580/3757] lr: 1.000e-02 eta: 1 day, 1:42:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5061 loss: 2.5061 2022/06/27 19:33:26 - mmengine - INFO - Epoch(train) [6][2600/3757] lr: 1.000e-02 eta: 1 day, 1:42:29 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.3699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4423 loss: 2.4423 2022/06/27 19:33:31 - mmengine - INFO - Epoch(train) [6][2620/3757] lr: 1.000e-02 eta: 1 day, 1:42:25 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7071 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4807 loss: 2.4807 2022/06/27 19:33:37 - mmengine - INFO - Epoch(train) [6][2640/3757] lr: 1.000e-02 eta: 1 day, 1:42:27 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.2409 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6497 loss: 2.6497 2022/06/27 19:33:43 - mmengine - INFO - Epoch(train) [6][2660/3757] lr: 1.000e-02 eta: 1 day, 1:42:32 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.0064 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4127 loss: 2.4127 2022/06/27 19:33:47 - mmengine - INFO - Epoch(train) [6][2680/3757] lr: 1.000e-02 eta: 1 day, 1:42:11 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.5044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4644 loss: 2.4644 2022/06/27 19:33:53 - mmengine - INFO - Epoch(train) [6][2700/3757] lr: 1.000e-02 eta: 1 day, 1:42:13 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.0782 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3995 loss: 2.3995 2022/06/27 19:33:58 - mmengine - INFO - Epoch(train) [6][2720/3757] lr: 1.000e-02 eta: 1 day, 1:42:07 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 4.8605 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3782 loss: 2.3782 2022/06/27 19:34:03 - mmengine - INFO - Epoch(train) [6][2740/3757] lr: 1.000e-02 eta: 1 day, 1:42:05 time: 0.519 data_time: 0.007 memory: 5150 grad_norm: 5.5890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3127 loss: 2.3127 2022/06/27 19:34:09 - mmengine - INFO - Epoch(train) [6][2760/3757] lr: 1.000e-02 eta: 1 day, 1:42:06 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5398 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4717 loss: 2.4717 2022/06/27 19:34:13 - mmengine - INFO - Epoch(train) [6][2780/3757] lr: 1.000e-02 eta: 1 day, 1:41:51 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.8637 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7229 loss: 2.7229 2022/06/27 19:34:19 - mmengine - INFO - Epoch(train) [6][2800/3757] lr: 1.000e-02 eta: 1 day, 1:41:50 time: 0.735 data_time: 0.006 memory: 5150 grad_norm: 6.3090 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1030 loss: 2.1030 2022/06/27 19:34:24 - mmengine - INFO - Epoch(train) [6][2820/3757] lr: 1.000e-02 eta: 1 day, 1:41:42 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.6283 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0369 loss: 3.0369 2022/06/27 19:34:29 - mmengine - INFO - Epoch(train) [6][2840/3757] lr: 1.000e-02 eta: 1 day, 1:41:41 time: 0.612 data_time: 0.007 memory: 5150 grad_norm: 5.4782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.8152 loss: 2.8152 2022/06/27 19:34:35 - mmengine - INFO - Epoch(train) [6][2860/3757] lr: 1.000e-02 eta: 1 day, 1:41:35 time: 0.348 data_time: 0.007 memory: 5150 grad_norm: 4.9978 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3731 loss: 2.3731 2022/06/27 19:34:40 - mmengine - INFO - Epoch(train) [6][2880/3757] lr: 1.000e-02 eta: 1 day, 1:41:29 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 4.8613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4029 loss: 2.4029 2022/06/27 19:34:46 - mmengine - INFO - Epoch(train) [6][2900/3757] lr: 1.000e-02 eta: 1 day, 1:41:35 time: 0.439 data_time: 0.007 memory: 5150 grad_norm: 5.4039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7350 loss: 2.7350 2022/06/27 19:34:50 - mmengine - INFO - Epoch(train) [6][2920/3757] lr: 1.000e-02 eta: 1 day, 1:41:20 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.9693 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6716 loss: 2.6716 2022/06/27 19:34:56 - mmengine - INFO - Epoch(train) [6][2940/3757] lr: 1.000e-02 eta: 1 day, 1:41:16 time: 0.194 data_time: 0.021 memory: 5150 grad_norm: 6.0413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5395 loss: 2.5395 2022/06/27 19:35:01 - mmengine - INFO - Epoch(train) [6][2960/3757] lr: 1.000e-02 eta: 1 day, 1:41:17 time: 0.316 data_time: 0.011 memory: 5150 grad_norm: 6.5154 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5327 loss: 2.5327 2022/06/27 19:35:07 - mmengine - INFO - Epoch(train) [6][2980/3757] lr: 1.000e-02 eta: 1 day, 1:41:14 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.5290 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8640 loss: 2.8640 2022/06/27 19:35:12 - mmengine - INFO - Epoch(train) [6][3000/3757] lr: 1.000e-02 eta: 1 day, 1:41:05 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.2042 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2765 loss: 2.2765 2022/06/27 19:35:17 - mmengine - INFO - Epoch(train) [6][3020/3757] lr: 1.000e-02 eta: 1 day, 1:41:07 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 5.2920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6599 loss: 2.6599 2022/06/27 19:35:23 - mmengine - INFO - Epoch(train) [6][3040/3757] lr: 1.000e-02 eta: 1 day, 1:41:04 time: 0.550 data_time: 0.007 memory: 5150 grad_norm: 6.1685 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5437 loss: 2.5437 2022/06/27 19:35:28 - mmengine - INFO - Epoch(train) [6][3060/3757] lr: 1.000e-02 eta: 1 day, 1:41:00 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.9131 loss: 2.9131 2022/06/27 19:35:33 - mmengine - INFO - Epoch(train) [6][3080/3757] lr: 1.000e-02 eta: 1 day, 1:40:59 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.7602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7328 loss: 2.7328 2022/06/27 19:35:39 - mmengine - INFO - Epoch(train) [6][3100/3757] lr: 1.000e-02 eta: 1 day, 1:40:56 time: 1.046 data_time: 0.006 memory: 5150 grad_norm: 4.9670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1455 loss: 2.1455 2022/06/27 19:35:44 - mmengine - INFO - Epoch(train) [6][3120/3757] lr: 1.000e-02 eta: 1 day, 1:40:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5148 loss: 2.5148 2022/06/27 19:35:50 - mmengine - INFO - Epoch(train) [6][3140/3757] lr: 1.000e-02 eta: 1 day, 1:40:50 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 5.0342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5443 loss: 2.5443 2022/06/27 19:35:54 - mmengine - INFO - Epoch(train) [6][3160/3757] lr: 1.000e-02 eta: 1 day, 1:40:39 time: 0.524 data_time: 0.006 memory: 5150 grad_norm: 5.5357 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5181 loss: 2.5181 2022/06/27 19:35:59 - mmengine - INFO - Epoch(train) [6][3180/3757] lr: 1.000e-02 eta: 1 day, 1:40:23 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7364 loss: 2.7364 2022/06/27 19:36:06 - mmengine - INFO - Epoch(train) [6][3200/3757] lr: 1.000e-02 eta: 1 day, 1:40:41 time: 0.991 data_time: 0.070 memory: 5150 grad_norm: 5.5431 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5456 loss: 2.5456 2022/06/27 19:36:09 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:36:10 - mmengine - INFO - Epoch(train) [6][3220/3757] lr: 1.000e-02 eta: 1 day, 1:40:19 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5488 loss: 2.5488 2022/06/27 19:36:15 - mmengine - INFO - Epoch(train) [6][3240/3757] lr: 1.000e-02 eta: 1 day, 1:40:11 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.6875 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7421 loss: 2.7421 2022/06/27 19:36:21 - mmengine - INFO - Epoch(train) [6][3260/3757] lr: 1.000e-02 eta: 1 day, 1:40:12 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 6.0269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7723 loss: 2.7723 2022/06/27 19:36:26 - mmengine - INFO - Epoch(train) [6][3280/3757] lr: 1.000e-02 eta: 1 day, 1:40:12 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 4.5358 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6994 loss: 2.6994 2022/06/27 19:36:31 - mmengine - INFO - Epoch(train) [6][3300/3757] lr: 1.000e-02 eta: 1 day, 1:39:59 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.6653 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9692 loss: 2.9692 2022/06/27 19:36:37 - mmengine - INFO - Epoch(train) [6][3320/3757] lr: 1.000e-02 eta: 1 day, 1:40:07 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.2255 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.0775 loss: 3.0775 2022/06/27 19:36:42 - mmengine - INFO - Epoch(train) [6][3340/3757] lr: 1.000e-02 eta: 1 day, 1:40:05 time: 0.712 data_time: 0.008 memory: 5150 grad_norm: 5.8743 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3894 loss: 2.3894 2022/06/27 19:36:47 - mmengine - INFO - Epoch(train) [6][3360/3757] lr: 1.000e-02 eta: 1 day, 1:39:57 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6367 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2802 loss: 2.2802 2022/06/27 19:36:53 - mmengine - INFO - Epoch(train) [6][3380/3757] lr: 1.000e-02 eta: 1 day, 1:39:52 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.4072 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.9459 loss: 2.9459 2022/06/27 19:36:58 - mmengine - INFO - Epoch(train) [6][3400/3757] lr: 1.000e-02 eta: 1 day, 1:39:54 time: 1.001 data_time: 0.007 memory: 5150 grad_norm: 5.9497 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4181 loss: 2.4181 2022/06/27 19:37:03 - mmengine - INFO - Epoch(train) [6][3420/3757] lr: 1.000e-02 eta: 1 day, 1:39:37 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.3949 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5047 loss: 2.5047 2022/06/27 19:37:09 - mmengine - INFO - Epoch(train) [6][3440/3757] lr: 1.000e-02 eta: 1 day, 1:39:43 time: 0.189 data_time: 0.010 memory: 5150 grad_norm: 6.3276 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8901 loss: 2.8901 2022/06/27 19:37:13 - mmengine - INFO - Epoch(train) [6][3460/3757] lr: 1.000e-02 eta: 1 day, 1:39:25 time: 0.583 data_time: 0.010 memory: 5150 grad_norm: 5.4783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6563 loss: 2.6563 2022/06/27 19:37:18 - mmengine - INFO - Epoch(train) [6][3480/3757] lr: 1.000e-02 eta: 1 day, 1:39:14 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.7738 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6606 loss: 2.6606 2022/06/27 19:37:23 - mmengine - INFO - Epoch(train) [6][3500/3757] lr: 1.000e-02 eta: 1 day, 1:39:12 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.5055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0227 loss: 3.0227 2022/06/27 19:37:29 - mmengine - INFO - Epoch(train) [6][3520/3757] lr: 1.000e-02 eta: 1 day, 1:39:14 time: 0.662 data_time: 0.007 memory: 5150 grad_norm: 5.8044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7871 loss: 2.7871 2022/06/27 19:37:34 - mmengine - INFO - Epoch(train) [6][3540/3757] lr: 1.000e-02 eta: 1 day, 1:39:02 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2174 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4269 loss: 2.4269 2022/06/27 19:37:40 - mmengine - INFO - Epoch(train) [6][3560/3757] lr: 1.000e-02 eta: 1 day, 1:39:05 time: 0.200 data_time: 0.024 memory: 5150 grad_norm: 5.5941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2853 loss: 2.2853 2022/06/27 19:37:46 - mmengine - INFO - Epoch(train) [6][3580/3757] lr: 1.000e-02 eta: 1 day, 1:39:20 time: 2.159 data_time: 0.009 memory: 5150 grad_norm: 5.0642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5721 loss: 2.5721 2022/06/27 19:37:50 - mmengine - INFO - Epoch(train) [6][3600/3757] lr: 1.000e-02 eta: 1 day, 1:38:56 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.9720 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0396 loss: 2.0396 2022/06/27 19:37:55 - mmengine - INFO - Epoch(train) [6][3620/3757] lr: 1.000e-02 eta: 1 day, 1:38:46 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.6278 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4640 loss: 2.4640 2022/06/27 19:38:01 - mmengine - INFO - Epoch(train) [6][3640/3757] lr: 1.000e-02 eta: 1 day, 1:38:43 time: 0.751 data_time: 0.012 memory: 5150 grad_norm: 5.2579 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4680 loss: 2.4680 2022/06/27 19:38:06 - mmengine - INFO - Epoch(train) [6][3660/3757] lr: 1.000e-02 eta: 1 day, 1:38:34 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.0220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6287 loss: 2.6287 2022/06/27 19:38:11 - mmengine - INFO - Epoch(train) [6][3680/3757] lr: 1.000e-02 eta: 1 day, 1:38:33 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.4690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5779 loss: 2.5779 2022/06/27 19:38:17 - mmengine - INFO - Epoch(train) [6][3700/3757] lr: 1.000e-02 eta: 1 day, 1:38:36 time: 0.893 data_time: 0.007 memory: 5150 grad_norm: 6.5658 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6694 loss: 2.6694 2022/06/27 19:38:21 - mmengine - INFO - Epoch(train) [6][3720/3757] lr: 1.000e-02 eta: 1 day, 1:38:23 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.0971 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5432 loss: 2.5432 2022/06/27 19:38:27 - mmengine - INFO - Epoch(train) [6][3740/3757] lr: 1.000e-02 eta: 1 day, 1:38:26 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 5.4271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4419 loss: 2.4419 2022/06/27 19:38:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:39:04 - mmengine - INFO - Epoch(val) [6][20/310] eta: 0:05:58 time: 0.993 data_time: 0.350 memory: 9746 2022/06/27 19:39:26 - mmengine - INFO - Epoch(val) [6][40/310] eta: 0:05:00 time: 0.960 data_time: 0.331 memory: 9746 2022/06/27 19:39:50 - mmengine - INFO - Epoch(val) [6][60/310] eta: 0:04:27 time: 1.166 data_time: 0.504 memory: 9746 2022/06/27 19:40:12 - mmengine - INFO - Epoch(val) [6][80/310] eta: 0:04:32 time: 1.087 data_time: 0.426 memory: 9746 2022/06/27 19:40:37 - mmengine - INFO - Epoch(val) [6][100/310] eta: 0:04:22 time: 2.442 data_time: 1.769 memory: 9746 2022/06/27 19:40:58 - mmengine - INFO - Epoch(val) [6][120/310] eta: 0:03:21 time: 1.046 data_time: 0.422 memory: 9746 2022/06/27 19:41:21 - mmengine - INFO - Epoch(val) [6][140/310] eta: 0:03:15 time: 1.142 data_time: 0.486 memory: 9746 2022/06/27 19:41:46 - mmengine - INFO - Epoch(val) [6][160/310] eta: 0:03:21 time: 3.761 data_time: 3.063 memory: 9746 2022/06/27 19:42:09 - mmengine - INFO - Epoch(val) [6][180/310] eta: 0:02:42 time: 1.074 data_time: 0.427 memory: 9746 2022/06/27 19:42:31 - mmengine - INFO - Epoch(val) [6][200/310] eta: 0:02:04 time: 1.049 data_time: 0.409 memory: 9746 2022/06/27 19:42:52 - mmengine - INFO - Epoch(val) [6][220/310] eta: 0:01:36 time: 1.164 data_time: 0.502 memory: 9746 2022/06/27 19:43:14 - mmengine - INFO - Epoch(val) [6][240/310] eta: 0:01:16 time: 1.016 data_time: 0.355 memory: 9746 2022/06/27 19:43:36 - mmengine - INFO - Epoch(val) [6][260/310] eta: 0:00:58 time: 1.114 data_time: 0.468 memory: 9746 2022/06/27 19:44:00 - mmengine - INFO - Epoch(val) [6][280/310] eta: 0:00:35 time: 1.029 data_time: 0.377 memory: 9746 2022/06/27 19:44:21 - mmengine - INFO - Epoch(val) [6][300/310] eta: 0:00:08 time: 0.660 data_time: 0.086 memory: 9746 2022/06/27 19:44:33 - mmengine - INFO - Epoch(val) [6][310/310] acc/top1: 0.4935 acc/top5: 0.7558 acc/mean1: 0.4933 2022/06/27 19:44:41 - mmengine - INFO - Epoch(train) [7][20/3757] lr: 1.000e-02 eta: 1 day, 1:38:23 time: 0.190 data_time: 0.006 memory: 9746 grad_norm: 5.5428 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2771 loss: 2.2771 2022/06/27 19:44:47 - mmengine - INFO - Epoch(train) [7][40/3757] lr: 1.000e-02 eta: 1 day, 1:38:24 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.6367 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0141 loss: 3.0141 2022/06/27 19:44:51 - mmengine - INFO - Epoch(train) [7][60/3757] lr: 1.000e-02 eta: 1 day, 1:38:13 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.9596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1129 loss: 2.1129 2022/06/27 19:44:58 - mmengine - INFO - Epoch(train) [7][80/3757] lr: 1.000e-02 eta: 1 day, 1:38:25 time: 0.189 data_time: 0.006 memory: 5150 grad_norm: 5.3369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6481 loss: 2.6481 2022/06/27 19:45:04 - mmengine - INFO - Epoch(train) [7][100/3757] lr: 1.000e-02 eta: 1 day, 1:38:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7403 loss: 2.7403 2022/06/27 19:45:09 - mmengine - INFO - Epoch(train) [7][120/3757] lr: 1.000e-02 eta: 1 day, 1:38:21 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5982 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7404 loss: 2.7404 2022/06/27 19:45:14 - mmengine - INFO - Epoch(train) [7][140/3757] lr: 1.000e-02 eta: 1 day, 1:38:19 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.7938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6970 loss: 2.6970 2022/06/27 19:45:20 - mmengine - INFO - Epoch(train) [7][160/3757] lr: 1.000e-02 eta: 1 day, 1:38:19 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.6063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8432 loss: 2.8432 2022/06/27 19:45:25 - mmengine - INFO - Epoch(train) [7][180/3757] lr: 1.000e-02 eta: 1 day, 1:38:10 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.1327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5422 loss: 2.5422 2022/06/27 19:45:30 - mmengine - INFO - Epoch(train) [7][200/3757] lr: 1.000e-02 eta: 1 day, 1:38:12 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.6393 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9014 loss: 2.9014 2022/06/27 19:45:36 - mmengine - INFO - Epoch(train) [7][220/3757] lr: 1.000e-02 eta: 1 day, 1:38:10 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.7818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4199 loss: 2.4199 2022/06/27 19:45:41 - mmengine - INFO - Epoch(train) [7][240/3757] lr: 1.000e-02 eta: 1 day, 1:38:01 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 7.4180 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3934 loss: 2.3934 2022/06/27 19:45:47 - mmengine - INFO - Epoch(train) [7][260/3757] lr: 1.000e-02 eta: 1 day, 1:38:07 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.1815 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9974 loss: 2.9974 2022/06/27 19:45:52 - mmengine - INFO - Epoch(train) [7][280/3757] lr: 1.000e-02 eta: 1 day, 1:38:03 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8776 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5650 loss: 2.5650 2022/06/27 19:45:57 - mmengine - INFO - Epoch(train) [7][300/3757] lr: 1.000e-02 eta: 1 day, 1:37:56 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 4.8002 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8627 loss: 2.8627 2022/06/27 19:46:03 - mmengine - INFO - Epoch(train) [7][320/3757] lr: 1.000e-02 eta: 1 day, 1:37:54 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.1746 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5794 loss: 2.5794 2022/06/27 19:46:08 - mmengine - INFO - Epoch(train) [7][340/3757] lr: 1.000e-02 eta: 1 day, 1:37:51 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.8748 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7405 loss: 2.7405 2022/06/27 19:46:13 - mmengine - INFO - Epoch(train) [7][360/3757] lr: 1.000e-02 eta: 1 day, 1:37:39 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.6638 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6417 loss: 2.6417 2022/06/27 19:46:19 - mmengine - INFO - Epoch(train) [7][380/3757] lr: 1.000e-02 eta: 1 day, 1:37:44 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3191 loss: 2.3191 2022/06/27 19:46:24 - mmengine - INFO - Epoch(train) [7][400/3757] lr: 1.000e-02 eta: 1 day, 1:37:43 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6010 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6083 loss: 2.6083 2022/06/27 19:46:29 - mmengine - INFO - Epoch(train) [7][420/3757] lr: 1.000e-02 eta: 1 day, 1:37:35 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.3111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7292 loss: 2.7292 2022/06/27 19:46:34 - mmengine - INFO - Epoch(train) [7][440/3757] lr: 1.000e-02 eta: 1 day, 1:37:31 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.4632 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5478 loss: 2.5478 2022/06/27 19:46:40 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:46:40 - mmengine - INFO - Epoch(train) [7][460/3757] lr: 1.000e-02 eta: 1 day, 1:37:34 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3095 loss: 2.3095 2022/06/27 19:46:45 - mmengine - INFO - Epoch(train) [7][480/3757] lr: 1.000e-02 eta: 1 day, 1:37:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2325 loss: 2.2325 2022/06/27 19:46:50 - mmengine - INFO - Epoch(train) [7][500/3757] lr: 1.000e-02 eta: 1 day, 1:37:18 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.5198 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7042 loss: 2.7042 2022/06/27 19:46:56 - mmengine - INFO - Epoch(train) [7][520/3757] lr: 1.000e-02 eta: 1 day, 1:37:14 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.8254 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6924 loss: 2.6924 2022/06/27 19:47:01 - mmengine - INFO - Epoch(train) [7][540/3757] lr: 1.000e-02 eta: 1 day, 1:37:03 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1676 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5707 loss: 2.5707 2022/06/27 19:47:06 - mmengine - INFO - Epoch(train) [7][560/3757] lr: 1.000e-02 eta: 1 day, 1:37:05 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.8667 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6580 loss: 2.6580 2022/06/27 19:47:12 - mmengine - INFO - Epoch(train) [7][580/3757] lr: 1.000e-02 eta: 1 day, 1:37:07 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0447 loss: 3.0447 2022/06/27 19:47:17 - mmengine - INFO - Epoch(train) [7][600/3757] lr: 1.000e-02 eta: 1 day, 1:36:57 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.1376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.1259 loss: 3.1259 2022/06/27 19:47:22 - mmengine - INFO - Epoch(train) [7][620/3757] lr: 1.000e-02 eta: 1 day, 1:36:53 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.4079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5299 loss: 2.5299 2022/06/27 19:47:28 - mmengine - INFO - Epoch(train) [7][640/3757] lr: 1.000e-02 eta: 1 day, 1:36:57 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.3668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3388 loss: 2.3388 2022/06/27 19:47:33 - mmengine - INFO - Epoch(train) [7][660/3757] lr: 1.000e-02 eta: 1 day, 1:36:46 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 4.8944 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8446 loss: 2.8446 2022/06/27 19:47:39 - mmengine - INFO - Epoch(train) [7][680/3757] lr: 1.000e-02 eta: 1 day, 1:36:47 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7708 loss: 2.7708 2022/06/27 19:47:44 - mmengine - INFO - Epoch(train) [7][700/3757] lr: 1.000e-02 eta: 1 day, 1:36:46 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.9831 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5076 loss: 2.5076 2022/06/27 19:47:49 - mmengine - INFO - Epoch(train) [7][720/3757] lr: 1.000e-02 eta: 1 day, 1:36:36 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.4927 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6199 loss: 2.6199 2022/06/27 19:47:55 - mmengine - INFO - Epoch(train) [7][740/3757] lr: 1.000e-02 eta: 1 day, 1:36:37 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 4.9235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4925 loss: 2.4925 2022/06/27 19:48:00 - mmengine - INFO - Epoch(train) [7][760/3757] lr: 1.000e-02 eta: 1 day, 1:36:32 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3654 loss: 2.3654 2022/06/27 19:48:05 - mmengine - INFO - Epoch(train) [7][780/3757] lr: 1.000e-02 eta: 1 day, 1:36:23 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1598 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8997 loss: 2.8997 2022/06/27 19:48:11 - mmengine - INFO - Epoch(train) [7][800/3757] lr: 1.000e-02 eta: 1 day, 1:36:26 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5650 loss: 2.5650 2022/06/27 19:48:17 - mmengine - INFO - Epoch(train) [7][820/3757] lr: 1.000e-02 eta: 1 day, 1:36:32 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 5.7046 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0757 loss: 3.0757 2022/06/27 19:48:21 - mmengine - INFO - Epoch(train) [7][840/3757] lr: 1.000e-02 eta: 1 day, 1:36:11 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 5.6419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8523 loss: 2.8523 2022/06/27 19:48:26 - mmengine - INFO - Epoch(train) [7][860/3757] lr: 1.000e-02 eta: 1 day, 1:36:12 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4021 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6411 loss: 2.6411 2022/06/27 19:48:32 - mmengine - INFO - Epoch(train) [7][880/3757] lr: 1.000e-02 eta: 1 day, 1:36:13 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.8719 top1_acc: 0.0000 top5_acc: 1.0000 loss_cls: 2.6244 loss: 2.6244 2022/06/27 19:48:37 - mmengine - INFO - Epoch(train) [7][900/3757] lr: 1.000e-02 eta: 1 day, 1:36:09 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.6931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5292 loss: 2.5292 2022/06/27 19:48:43 - mmengine - INFO - Epoch(train) [7][920/3757] lr: 1.000e-02 eta: 1 day, 1:36:04 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.9273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4377 loss: 2.4377 2022/06/27 19:48:48 - mmengine - INFO - Epoch(train) [7][940/3757] lr: 1.000e-02 eta: 1 day, 1:36:03 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.3022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2905 loss: 2.2905 2022/06/27 19:48:53 - mmengine - INFO - Epoch(train) [7][960/3757] lr: 1.000e-02 eta: 1 day, 1:35:46 time: 0.198 data_time: 0.025 memory: 5150 grad_norm: 5.6263 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5469 loss: 2.5469 2022/06/27 19:48:58 - mmengine - INFO - Epoch(train) [7][980/3757] lr: 1.000e-02 eta: 1 day, 1:35:46 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1276 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6409 loss: 2.6409 2022/06/27 19:49:03 - mmengine - INFO - Epoch(train) [7][1000/3757] lr: 1.000e-02 eta: 1 day, 1:35:38 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 6.1365 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5477 loss: 2.5477 2022/06/27 19:49:08 - mmengine - INFO - Epoch(train) [7][1020/3757] lr: 1.000e-02 eta: 1 day, 1:35:30 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 5.3467 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7114 loss: 2.7114 2022/06/27 19:49:13 - mmengine - INFO - Epoch(train) [7][1040/3757] lr: 1.000e-02 eta: 1 day, 1:35:17 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.2699 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5445 loss: 2.5445 2022/06/27 19:49:19 - mmengine - INFO - Epoch(train) [7][1060/3757] lr: 1.000e-02 eta: 1 day, 1:35:17 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 4.9830 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8266 loss: 2.8266 2022/06/27 19:49:23 - mmengine - INFO - Epoch(train) [7][1080/3757] lr: 1.000e-02 eta: 1 day, 1:35:06 time: 0.420 data_time: 0.251 memory: 5150 grad_norm: 5.6828 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4827 loss: 2.4827 2022/06/27 19:49:29 - mmengine - INFO - Epoch(train) [7][1100/3757] lr: 1.000e-02 eta: 1 day, 1:35:07 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.8020 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8485 loss: 2.8485 2022/06/27 19:49:35 - mmengine - INFO - Epoch(train) [7][1120/3757] lr: 1.000e-02 eta: 1 day, 1:35:10 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 6.1639 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7913 loss: 2.7913 2022/06/27 19:49:40 - mmengine - INFO - Epoch(train) [7][1140/3757] lr: 1.000e-02 eta: 1 day, 1:34:57 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 6.1702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3949 loss: 2.3949 2022/06/27 19:49:45 - mmengine - INFO - Epoch(train) [7][1160/3757] lr: 1.000e-02 eta: 1 day, 1:34:54 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 6.6144 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3612 loss: 2.3612 2022/06/27 19:49:51 - mmengine - INFO - Epoch(train) [7][1180/3757] lr: 1.000e-02 eta: 1 day, 1:34:55 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.9244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6209 loss: 2.6209 2022/06/27 19:49:55 - mmengine - INFO - Epoch(train) [7][1200/3757] lr: 1.000e-02 eta: 1 day, 1:34:41 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 5.0471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2645 loss: 2.2645 2022/06/27 19:50:01 - mmengine - INFO - Epoch(train) [7][1220/3757] lr: 1.000e-02 eta: 1 day, 1:34:40 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.7078 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3270 loss: 2.3270 2022/06/27 19:50:07 - mmengine - INFO - Epoch(train) [7][1240/3757] lr: 1.000e-02 eta: 1 day, 1:34:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4769 loss: 2.4769 2022/06/27 19:50:12 - mmengine - INFO - Epoch(train) [7][1260/3757] lr: 1.000e-02 eta: 1 day, 1:34:36 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.4640 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0579 loss: 2.0579 2022/06/27 19:50:19 - mmengine - INFO - Epoch(train) [7][1280/3757] lr: 1.000e-02 eta: 1 day, 1:34:54 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 6.0704 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.2525 loss: 3.2525 2022/06/27 19:50:23 - mmengine - INFO - Epoch(train) [7][1300/3757] lr: 1.000e-02 eta: 1 day, 1:34:32 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0533 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4576 loss: 2.4576 2022/06/27 19:50:28 - mmengine - INFO - Epoch(train) [7][1320/3757] lr: 1.000e-02 eta: 1 day, 1:34:23 time: 0.672 data_time: 0.014 memory: 5150 grad_norm: 5.8158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5063 loss: 2.5063 2022/06/27 19:50:33 - mmengine - INFO - Epoch(train) [7][1340/3757] lr: 1.000e-02 eta: 1 day, 1:34:21 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4067 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7349 loss: 2.7349 2022/06/27 19:50:38 - mmengine - INFO - Epoch(train) [7][1360/3757] lr: 1.000e-02 eta: 1 day, 1:34:19 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 6.2281 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6999 loss: 2.6999 2022/06/27 19:50:44 - mmengine - INFO - Epoch(train) [7][1380/3757] lr: 1.000e-02 eta: 1 day, 1:34:12 time: 0.457 data_time: 0.013 memory: 5150 grad_norm: 5.5725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6906 loss: 2.6906 2022/06/27 19:50:49 - mmengine - INFO - Epoch(train) [7][1400/3757] lr: 1.000e-02 eta: 1 day, 1:34:04 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.1220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9515 loss: 2.9515 2022/06/27 19:50:54 - mmengine - INFO - Epoch(train) [7][1420/3757] lr: 1.000e-02 eta: 1 day, 1:34:06 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5795 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6327 loss: 2.6327 2022/06/27 19:51:00 - mmengine - INFO - Epoch(train) [7][1440/3757] lr: 1.000e-02 eta: 1 day, 1:34:05 time: 0.934 data_time: 0.020 memory: 5150 grad_norm: 6.0097 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/06/27 19:51:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:51:04 - mmengine - INFO - Epoch(train) [7][1460/3757] lr: 1.000e-02 eta: 1 day, 1:33:50 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.1076 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6043 loss: 2.6043 2022/06/27 19:51:10 - mmengine - INFO - Epoch(train) [7][1480/3757] lr: 1.000e-02 eta: 1 day, 1:33:54 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.4873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5433 loss: 2.5433 2022/06/27 19:51:16 - mmengine - INFO - Epoch(train) [7][1500/3757] lr: 1.000e-02 eta: 1 day, 1:33:50 time: 0.193 data_time: 0.019 memory: 5150 grad_norm: 5.4514 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.6087 loss: 2.6087 2022/06/27 19:51:21 - mmengine - INFO - Epoch(train) [7][1520/3757] lr: 1.000e-02 eta: 1 day, 1:33:42 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3707 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3955 loss: 2.3955 2022/06/27 19:51:26 - mmengine - INFO - Epoch(train) [7][1540/3757] lr: 1.000e-02 eta: 1 day, 1:33:35 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.0093 loss: 3.0093 2022/06/27 19:51:32 - mmengine - INFO - Epoch(train) [7][1560/3757] lr: 1.000e-02 eta: 1 day, 1:33:37 time: 0.202 data_time: 0.028 memory: 5150 grad_norm: 5.4406 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3263 loss: 2.3263 2022/06/27 19:51:36 - mmengine - INFO - Epoch(train) [7][1580/3757] lr: 1.000e-02 eta: 1 day, 1:33:23 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5051 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4514 loss: 2.4514 2022/06/27 19:51:42 - mmengine - INFO - Epoch(train) [7][1600/3757] lr: 1.000e-02 eta: 1 day, 1:33:26 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.9782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.9437 loss: 2.9437 2022/06/27 19:51:48 - mmengine - INFO - Epoch(train) [7][1620/3757] lr: 1.000e-02 eta: 1 day, 1:33:27 time: 0.195 data_time: 0.022 memory: 5150 grad_norm: 5.5579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3669 loss: 2.3669 2022/06/27 19:51:52 - mmengine - INFO - Epoch(train) [7][1640/3757] lr: 1.000e-02 eta: 1 day, 1:33:14 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3282 loss: 2.3282 2022/06/27 19:51:58 - mmengine - INFO - Epoch(train) [7][1660/3757] lr: 1.000e-02 eta: 1 day, 1:33:12 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.7004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6134 loss: 2.6134 2022/06/27 19:52:03 - mmengine - INFO - Epoch(train) [7][1680/3757] lr: 1.000e-02 eta: 1 day, 1:33:10 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 6.0934 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5910 loss: 2.5910 2022/06/27 19:52:09 - mmengine - INFO - Epoch(train) [7][1700/3757] lr: 1.000e-02 eta: 1 day, 1:33:05 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7142 loss: 2.7142 2022/06/27 19:52:14 - mmengine - INFO - Epoch(train) [7][1720/3757] lr: 1.000e-02 eta: 1 day, 1:33:02 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.6563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8349 loss: 2.8349 2022/06/27 19:52:19 - mmengine - INFO - Epoch(train) [7][1740/3757] lr: 1.000e-02 eta: 1 day, 1:32:57 time: 0.198 data_time: 0.029 memory: 5150 grad_norm: 5.8602 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/06/27 19:52:24 - mmengine - INFO - Epoch(train) [7][1760/3757] lr: 1.000e-02 eta: 1 day, 1:32:46 time: 0.188 data_time: 0.011 memory: 5150 grad_norm: 5.6719 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.8673 loss: 2.8673 2022/06/27 19:52:30 - mmengine - INFO - Epoch(train) [7][1780/3757] lr: 1.000e-02 eta: 1 day, 1:32:50 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9148 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4694 loss: 2.4694 2022/06/27 19:52:35 - mmengine - INFO - Epoch(train) [7][1800/3757] lr: 1.000e-02 eta: 1 day, 1:32:50 time: 0.196 data_time: 0.030 memory: 5150 grad_norm: 5.4233 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5075 loss: 2.5075 2022/06/27 19:52:40 - mmengine - INFO - Epoch(train) [7][1820/3757] lr: 1.000e-02 eta: 1 day, 1:32:34 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.1347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.9033 loss: 2.9033 2022/06/27 19:52:46 - mmengine - INFO - Epoch(train) [7][1840/3757] lr: 1.000e-02 eta: 1 day, 1:32:36 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7472 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3994 loss: 2.3994 2022/06/27 19:52:51 - mmengine - INFO - Epoch(train) [7][1860/3757] lr: 1.000e-02 eta: 1 day, 1:32:36 time: 0.199 data_time: 0.029 memory: 5150 grad_norm: 5.6141 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2890 loss: 2.2890 2022/06/27 19:52:56 - mmengine - INFO - Epoch(train) [7][1880/3757] lr: 1.000e-02 eta: 1 day, 1:32:28 time: 0.223 data_time: 0.006 memory: 5150 grad_norm: 5.2171 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1814 loss: 2.1814 2022/06/27 19:53:01 - mmengine - INFO - Epoch(train) [7][1900/3757] lr: 1.000e-02 eta: 1 day, 1:32:20 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6486 loss: 2.6486 2022/06/27 19:53:07 - mmengine - INFO - Epoch(train) [7][1920/3757] lr: 1.000e-02 eta: 1 day, 1:32:22 time: 0.199 data_time: 0.023 memory: 5150 grad_norm: 5.8100 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6429 loss: 2.6429 2022/06/27 19:53:11 - mmengine - INFO - Epoch(train) [7][1940/3757] lr: 1.000e-02 eta: 1 day, 1:32:00 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.6637 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3897 loss: 2.3897 2022/06/27 19:53:17 - mmengine - INFO - Epoch(train) [7][1960/3757] lr: 1.000e-02 eta: 1 day, 1:32:01 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 6.2127 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2719 loss: 3.2719 2022/06/27 19:53:23 - mmengine - INFO - Epoch(train) [7][1980/3757] lr: 1.000e-02 eta: 1 day, 1:32:03 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.0452 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4623 loss: 2.4623 2022/06/27 19:53:28 - mmengine - INFO - Epoch(train) [7][2000/3757] lr: 1.000e-02 eta: 1 day, 1:31:58 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.4785 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9086 loss: 2.9086 2022/06/27 19:53:33 - mmengine - INFO - Epoch(train) [7][2020/3757] lr: 1.000e-02 eta: 1 day, 1:31:47 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1346 loss: 2.1346 2022/06/27 19:53:38 - mmengine - INFO - Epoch(train) [7][2040/3757] lr: 1.000e-02 eta: 1 day, 1:31:41 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.0384 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0323 loss: 3.0323 2022/06/27 19:53:43 - mmengine - INFO - Epoch(train) [7][2060/3757] lr: 1.000e-02 eta: 1 day, 1:31:38 time: 0.952 data_time: 0.006 memory: 5150 grad_norm: 5.6021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4971 loss: 2.4971 2022/06/27 19:53:48 - mmengine - INFO - Epoch(train) [7][2080/3757] lr: 1.000e-02 eta: 1 day, 1:31:25 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.7308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2465 loss: 2.2465 2022/06/27 19:53:54 - mmengine - INFO - Epoch(train) [7][2100/3757] lr: 1.000e-02 eta: 1 day, 1:31:27 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 5.3079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7451 loss: 2.7451 2022/06/27 19:53:59 - mmengine - INFO - Epoch(train) [7][2120/3757] lr: 1.000e-02 eta: 1 day, 1:31:23 time: 0.586 data_time: 0.010 memory: 5150 grad_norm: 6.0002 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7056 loss: 2.7056 2022/06/27 19:54:04 - mmengine - INFO - Epoch(train) [7][2140/3757] lr: 1.000e-02 eta: 1 day, 1:31:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6874 loss: 2.6874 2022/06/27 19:54:10 - mmengine - INFO - Epoch(train) [7][2160/3757] lr: 1.000e-02 eta: 1 day, 1:31:18 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1825 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6774 loss: 2.6774 2022/06/27 19:54:14 - mmengine - INFO - Epoch(train) [7][2180/3757] lr: 1.000e-02 eta: 1 day, 1:31:00 time: 0.459 data_time: 0.011 memory: 5150 grad_norm: 5.9038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6668 loss: 2.6668 2022/06/27 19:54:19 - mmengine - INFO - Epoch(train) [7][2200/3757] lr: 1.000e-02 eta: 1 day, 1:30:53 time: 0.253 data_time: 0.007 memory: 5150 grad_norm: 5.5492 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3564 loss: 2.3564 2022/06/27 19:54:25 - mmengine - INFO - Epoch(train) [7][2220/3757] lr: 1.000e-02 eta: 1 day, 1:30:53 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.7121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2911 loss: 2.2911 2022/06/27 19:54:31 - mmengine - INFO - Epoch(train) [7][2240/3757] lr: 1.000e-02 eta: 1 day, 1:30:53 time: 0.996 data_time: 0.008 memory: 5150 grad_norm: 5.4382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3504 loss: 2.3504 2022/06/27 19:54:35 - mmengine - INFO - Epoch(train) [7][2260/3757] lr: 1.000e-02 eta: 1 day, 1:30:41 time: 0.421 data_time: 0.006 memory: 5150 grad_norm: 5.4880 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4108 loss: 2.4108 2022/06/27 19:54:41 - mmengine - INFO - Epoch(train) [7][2280/3757] lr: 1.000e-02 eta: 1 day, 1:30:42 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6700 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3011 loss: 2.3011 2022/06/27 19:54:47 - mmengine - INFO - Epoch(train) [7][2300/3757] lr: 1.000e-02 eta: 1 day, 1:30:45 time: 0.487 data_time: 0.010 memory: 5150 grad_norm: 6.3607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8361 loss: 2.8361 2022/06/27 19:54:52 - mmengine - INFO - Epoch(train) [7][2320/3757] lr: 1.000e-02 eta: 1 day, 1:30:36 time: 0.934 data_time: 0.007 memory: 5150 grad_norm: 5.7287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6971 loss: 2.6971 2022/06/27 19:54:57 - mmengine - INFO - Epoch(train) [7][2340/3757] lr: 1.000e-02 eta: 1 day, 1:30:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.5642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2540 loss: 2.2540 2022/06/27 19:55:03 - mmengine - INFO - Epoch(train) [7][2360/3757] lr: 1.000e-02 eta: 1 day, 1:30:33 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3050 loss: 2.3050 2022/06/27 19:55:08 - mmengine - INFO - Epoch(train) [7][2380/3757] lr: 1.000e-02 eta: 1 day, 1:30:28 time: 0.486 data_time: 0.007 memory: 5150 grad_norm: 5.5511 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4305 loss: 2.4305 2022/06/27 19:55:14 - mmengine - INFO - Epoch(train) [7][2400/3757] lr: 1.000e-02 eta: 1 day, 1:30:26 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.1537 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3902 loss: 2.3902 2022/06/27 19:55:19 - mmengine - INFO - Epoch(train) [7][2420/3757] lr: 1.000e-02 eta: 1 day, 1:30:28 time: 0.557 data_time: 0.007 memory: 5150 grad_norm: 5.3014 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7634 loss: 2.7634 2022/06/27 19:55:24 - mmengine - INFO - Epoch(train) [7][2440/3757] lr: 1.000e-02 eta: 1 day, 1:30:17 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.8543 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6906 loss: 2.6906 2022/06/27 19:55:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:55:30 - mmengine - INFO - Epoch(train) [7][2460/3757] lr: 1.000e-02 eta: 1 day, 1:30:18 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9141 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2331 loss: 2.2331 2022/06/27 19:55:35 - mmengine - INFO - Epoch(train) [7][2480/3757] lr: 1.000e-02 eta: 1 day, 1:30:17 time: 0.746 data_time: 0.008 memory: 5150 grad_norm: 5.7149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3110 loss: 2.3110 2022/06/27 19:55:40 - mmengine - INFO - Epoch(train) [7][2500/3757] lr: 1.000e-02 eta: 1 day, 1:30:07 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5675 loss: 2.5675 2022/06/27 19:55:46 - mmengine - INFO - Epoch(train) [7][2520/3757] lr: 1.000e-02 eta: 1 day, 1:30:07 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3137 loss: 2.3137 2022/06/27 19:55:52 - mmengine - INFO - Epoch(train) [7][2540/3757] lr: 1.000e-02 eta: 1 day, 1:30:11 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 5.7289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8614 loss: 2.8614 2022/06/27 19:55:56 - mmengine - INFO - Epoch(train) [7][2560/3757] lr: 1.000e-02 eta: 1 day, 1:29:58 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 5.8440 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.3123 loss: 3.3123 2022/06/27 19:56:02 - mmengine - INFO - Epoch(train) [7][2580/3757] lr: 1.000e-02 eta: 1 day, 1:30:03 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.8219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1680 loss: 2.1680 2022/06/27 19:56:08 - mmengine - INFO - Epoch(train) [7][2600/3757] lr: 1.000e-02 eta: 1 day, 1:29:59 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.9945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1629 loss: 2.1629 2022/06/27 19:56:13 - mmengine - INFO - Epoch(train) [7][2620/3757] lr: 1.000e-02 eta: 1 day, 1:29:49 time: 0.400 data_time: 0.010 memory: 5150 grad_norm: 5.0488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7906 loss: 2.7906 2022/06/27 19:56:18 - mmengine - INFO - Epoch(train) [7][2640/3757] lr: 1.000e-02 eta: 1 day, 1:29:47 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1500 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3633 loss: 2.3633 2022/06/27 19:56:24 - mmengine - INFO - Epoch(train) [7][2660/3757] lr: 1.000e-02 eta: 1 day, 1:29:44 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.5395 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4374 loss: 2.4374 2022/06/27 19:56:29 - mmengine - INFO - Epoch(train) [7][2680/3757] lr: 1.000e-02 eta: 1 day, 1:29:36 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4143 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1736 loss: 2.1736 2022/06/27 19:56:34 - mmengine - INFO - Epoch(train) [7][2700/3757] lr: 1.000e-02 eta: 1 day, 1:29:37 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.7136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7545 loss: 2.7545 2022/06/27 19:56:40 - mmengine - INFO - Epoch(train) [7][2720/3757] lr: 1.000e-02 eta: 1 day, 1:29:34 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.1878 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2457 loss: 2.2457 2022/06/27 19:56:45 - mmengine - INFO - Epoch(train) [7][2740/3757] lr: 1.000e-02 eta: 1 day, 1:29:25 time: 0.685 data_time: 0.013 memory: 5150 grad_norm: 5.1205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3887 loss: 2.3887 2022/06/27 19:56:50 - mmengine - INFO - Epoch(train) [7][2760/3757] lr: 1.000e-02 eta: 1 day, 1:29:20 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4193 loss: 2.4193 2022/06/27 19:56:56 - mmengine - INFO - Epoch(train) [7][2780/3757] lr: 1.000e-02 eta: 1 day, 1:29:21 time: 0.191 data_time: 0.019 memory: 5150 grad_norm: 5.4734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2791 loss: 2.2791 2022/06/27 19:57:01 - mmengine - INFO - Epoch(train) [7][2800/3757] lr: 1.000e-02 eta: 1 day, 1:29:14 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6539 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2298 loss: 2.2298 2022/06/27 19:57:06 - mmengine - INFO - Epoch(train) [7][2820/3757] lr: 1.000e-02 eta: 1 day, 1:29:07 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3917 loss: 2.3917 2022/06/27 19:57:11 - mmengine - INFO - Epoch(train) [7][2840/3757] lr: 1.000e-02 eta: 1 day, 1:29:06 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 5.2964 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2713 loss: 2.2713 2022/06/27 19:57:17 - mmengine - INFO - Epoch(train) [7][2860/3757] lr: 1.000e-02 eta: 1 day, 1:29:08 time: 1.018 data_time: 0.007 memory: 5150 grad_norm: 4.7702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.9158 loss: 2.9158 2022/06/27 19:57:22 - mmengine - INFO - Epoch(train) [7][2880/3757] lr: 1.000e-02 eta: 1 day, 1:29:00 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.3858 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2705 loss: 2.2705 2022/06/27 19:57:27 - mmengine - INFO - Epoch(train) [7][2900/3757] lr: 1.000e-02 eta: 1 day, 1:28:55 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.5284 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3694 loss: 2.3694 2022/06/27 19:57:32 - mmengine - INFO - Epoch(train) [7][2920/3757] lr: 1.000e-02 eta: 1 day, 1:28:45 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 5.4909 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5222 loss: 2.5222 2022/06/27 19:57:38 - mmengine - INFO - Epoch(train) [7][2940/3757] lr: 1.000e-02 eta: 1 day, 1:28:48 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.4041 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 3.0924 loss: 3.0924 2022/06/27 19:57:43 - mmengine - INFO - Epoch(train) [7][2960/3757] lr: 1.000e-02 eta: 1 day, 1:28:42 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 5.3116 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6723 loss: 2.6723 2022/06/27 19:57:48 - mmengine - INFO - Epoch(train) [7][2980/3757] lr: 1.000e-02 eta: 1 day, 1:28:32 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.2559 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4079 loss: 2.4079 2022/06/27 19:57:54 - mmengine - INFO - Epoch(train) [7][3000/3757] lr: 1.000e-02 eta: 1 day, 1:28:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.2831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9515 loss: 2.9515 2022/06/27 19:57:59 - mmengine - INFO - Epoch(train) [7][3020/3757] lr: 1.000e-02 eta: 1 day, 1:28:20 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.8610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4353 loss: 2.4353 2022/06/27 19:58:05 - mmengine - INFO - Epoch(train) [7][3040/3757] lr: 1.000e-02 eta: 1 day, 1:28:25 time: 0.675 data_time: 0.007 memory: 5150 grad_norm: 5.1457 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3449 loss: 2.3449 2022/06/27 19:58:10 - mmengine - INFO - Epoch(train) [7][3060/3757] lr: 1.000e-02 eta: 1 day, 1:28:24 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.0913 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7312 loss: 2.7312 2022/06/27 19:58:15 - mmengine - INFO - Epoch(train) [7][3080/3757] lr: 1.000e-02 eta: 1 day, 1:28:20 time: 0.207 data_time: 0.042 memory: 5150 grad_norm: 5.1160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4444 loss: 2.4444 2022/06/27 19:58:21 - mmengine - INFO - Epoch(train) [7][3100/3757] lr: 1.000e-02 eta: 1 day, 1:28:18 time: 0.819 data_time: 0.007 memory: 5150 grad_norm: 5.5678 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4527 loss: 2.4527 2022/06/27 19:58:26 - mmengine - INFO - Epoch(train) [7][3120/3757] lr: 1.000e-02 eta: 1 day, 1:28:10 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7783 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6574 loss: 2.6574 2022/06/27 19:58:32 - mmengine - INFO - Epoch(train) [7][3140/3757] lr: 1.000e-02 eta: 1 day, 1:28:11 time: 0.188 data_time: 0.012 memory: 5150 grad_norm: 5.3220 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4363 loss: 2.4363 2022/06/27 19:58:37 - mmengine - INFO - Epoch(train) [7][3160/3757] lr: 1.000e-02 eta: 1 day, 1:28:10 time: 0.744 data_time: 0.007 memory: 5150 grad_norm: 6.1102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7186 loss: 2.7186 2022/06/27 19:58:42 - mmengine - INFO - Epoch(train) [7][3180/3757] lr: 1.000e-02 eta: 1 day, 1:27:59 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.7912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3965 loss: 2.3965 2022/06/27 19:58:47 - mmengine - INFO - Epoch(train) [7][3200/3757] lr: 1.000e-02 eta: 1 day, 1:27:56 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2883 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3338 loss: 2.3338 2022/06/27 19:58:53 - mmengine - INFO - Epoch(train) [7][3220/3757] lr: 1.000e-02 eta: 1 day, 1:27:57 time: 0.907 data_time: 0.007 memory: 5150 grad_norm: 5.8139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6506 loss: 2.6506 2022/06/27 19:58:59 - mmengine - INFO - Epoch(train) [7][3240/3757] lr: 1.000e-02 eta: 1 day, 1:27:59 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.8510 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9402 loss: 2.9402 2022/06/27 19:59:03 - mmengine - INFO - Epoch(train) [7][3260/3757] lr: 1.000e-02 eta: 1 day, 1:27:38 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9268 loss: 2.9268 2022/06/27 19:59:09 - mmengine - INFO - Epoch(train) [7][3280/3757] lr: 1.000e-02 eta: 1 day, 1:27:42 time: 1.213 data_time: 0.012 memory: 5150 grad_norm: 5.4781 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3994 loss: 2.3994 2022/06/27 19:59:14 - mmengine - INFO - Epoch(train) [7][3300/3757] lr: 1.000e-02 eta: 1 day, 1:27:36 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.7832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6479 loss: 2.6479 2022/06/27 19:59:20 - mmengine - INFO - Epoch(train) [7][3320/3757] lr: 1.000e-02 eta: 1 day, 1:27:35 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4780 loss: 2.4780 2022/06/27 19:59:25 - mmengine - INFO - Epoch(train) [7][3340/3757] lr: 1.000e-02 eta: 1 day, 1:27:34 time: 0.900 data_time: 0.006 memory: 5150 grad_norm: 5.4411 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5191 loss: 2.5191 2022/06/27 19:59:30 - mmengine - INFO - Epoch(train) [7][3360/3757] lr: 1.000e-02 eta: 1 day, 1:27:24 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.5516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2676 loss: 2.2676 2022/06/27 19:59:36 - mmengine - INFO - Epoch(train) [7][3380/3757] lr: 1.000e-02 eta: 1 day, 1:27:22 time: 0.211 data_time: 0.045 memory: 5150 grad_norm: 5.4571 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8735 loss: 2.8735 2022/06/27 19:59:41 - mmengine - INFO - Epoch(train) [7][3400/3757] lr: 1.000e-02 eta: 1 day, 1:27:16 time: 0.724 data_time: 0.007 memory: 5150 grad_norm: 4.8167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0344 loss: 2.0344 2022/06/27 19:59:46 - mmengine - INFO - Epoch(train) [7][3420/3757] lr: 1.000e-02 eta: 1 day, 1:27:06 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2300 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7684 loss: 2.7684 2022/06/27 19:59:51 - mmengine - INFO - Epoch(train) [7][3440/3757] lr: 1.000e-02 eta: 1 day, 1:27:03 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 4.9194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.5351 loss: 2.5351 2022/06/27 19:59:56 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 19:59:57 - mmengine - INFO - Epoch(train) [7][3460/3757] lr: 1.000e-02 eta: 1 day, 1:27:01 time: 0.595 data_time: 0.008 memory: 5150 grad_norm: 5.5397 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6334 loss: 2.6334 2022/06/27 20:00:02 - mmengine - INFO - Epoch(train) [7][3480/3757] lr: 1.000e-02 eta: 1 day, 1:26:57 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.7431 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7217 loss: 2.7217 2022/06/27 20:00:07 - mmengine - INFO - Epoch(train) [7][3500/3757] lr: 1.000e-02 eta: 1 day, 1:26:54 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 4.7909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2914 loss: 2.2914 2022/06/27 20:00:13 - mmengine - INFO - Epoch(train) [7][3520/3757] lr: 1.000e-02 eta: 1 day, 1:26:54 time: 0.861 data_time: 0.009 memory: 5150 grad_norm: 5.3828 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6675 loss: 2.6675 2022/06/27 20:00:18 - mmengine - INFO - Epoch(train) [7][3540/3757] lr: 1.000e-02 eta: 1 day, 1:26:49 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.8216 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2126 loss: 2.2126 2022/06/27 20:00:23 - mmengine - INFO - Epoch(train) [7][3560/3757] lr: 1.000e-02 eta: 1 day, 1:26:43 time: 0.210 data_time: 0.016 memory: 5150 grad_norm: 6.5908 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9527 loss: 2.9527 2022/06/27 20:00:29 - mmengine - INFO - Epoch(train) [7][3580/3757] lr: 1.000e-02 eta: 1 day, 1:26:46 time: 0.896 data_time: 0.011 memory: 5150 grad_norm: 5.7071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7212 loss: 2.7212 2022/06/27 20:00:34 - mmengine - INFO - Epoch(train) [7][3600/3757] lr: 1.000e-02 eta: 1 day, 1:26:36 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 6.8016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3584 loss: 2.3584 2022/06/27 20:00:39 - mmengine - INFO - Epoch(train) [7][3620/3757] lr: 1.000e-02 eta: 1 day, 1:26:28 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.6716 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4195 loss: 2.4195 2022/06/27 20:00:45 - mmengine - INFO - Epoch(train) [7][3640/3757] lr: 1.000e-02 eta: 1 day, 1:26:28 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6123 loss: 2.6123 2022/06/27 20:00:50 - mmengine - INFO - Epoch(train) [7][3660/3757] lr: 1.000e-02 eta: 1 day, 1:26:28 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5885 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6897 loss: 2.6897 2022/06/27 20:00:55 - mmengine - INFO - Epoch(train) [7][3680/3757] lr: 1.000e-02 eta: 1 day, 1:26:19 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5321 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1848 loss: 2.1848 2022/06/27 20:01:01 - mmengine - INFO - Epoch(train) [7][3700/3757] lr: 1.000e-02 eta: 1 day, 1:26:13 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.3159 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6892 loss: 2.6892 2022/06/27 20:01:06 - mmengine - INFO - Epoch(train) [7][3720/3757] lr: 1.000e-02 eta: 1 day, 1:26:15 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.2059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5237 loss: 2.5237 2022/06/27 20:01:11 - mmengine - INFO - Epoch(train) [7][3740/3757] lr: 1.000e-02 eta: 1 day, 1:26:04 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9912 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6577 loss: 2.6577 2022/06/27 20:01:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:01:48 - mmengine - INFO - Epoch(val) [7][20/310] eta: 0:05:45 time: 1.031 data_time: 0.385 memory: 9746 2022/06/27 20:02:09 - mmengine - INFO - Epoch(val) [7][40/310] eta: 0:04:37 time: 1.103 data_time: 0.468 memory: 9746 2022/06/27 20:02:33 - mmengine - INFO - Epoch(val) [7][60/310] eta: 0:04:25 time: 1.144 data_time: 0.506 memory: 9746 2022/06/27 20:02:56 - mmengine - INFO - Epoch(val) [7][80/310] eta: 0:04:37 time: 1.028 data_time: 0.376 memory: 9746 2022/06/27 20:03:20 - mmengine - INFO - Epoch(val) [7][100/310] eta: 0:04:15 time: 2.276 data_time: 1.628 memory: 9746 2022/06/27 20:03:41 - mmengine - INFO - Epoch(val) [7][120/310] eta: 0:03:18 time: 1.072 data_time: 0.439 memory: 9746 2022/06/27 20:04:07 - mmengine - INFO - Epoch(val) [7][140/310] eta: 0:03:30 time: 1.239 data_time: 0.596 memory: 9746 2022/06/27 20:04:31 - mmengine - INFO - Epoch(val) [7][160/310] eta: 0:03:19 time: 3.986 data_time: 3.302 memory: 9746 2022/06/27 20:04:54 - mmengine - INFO - Epoch(val) [7][180/310] eta: 0:02:40 time: 1.156 data_time: 0.497 memory: 9746 2022/06/27 20:05:16 - mmengine - INFO - Epoch(val) [7][200/310] eta: 0:02:01 time: 1.047 data_time: 0.426 memory: 9746 2022/06/27 20:05:38 - mmengine - INFO - Epoch(val) [7][220/310] eta: 0:01:38 time: 1.043 data_time: 0.401 memory: 9746 2022/06/27 20:06:00 - mmengine - INFO - Epoch(val) [7][240/310] eta: 0:01:14 time: 1.041 data_time: 0.390 memory: 9746 2022/06/27 20:06:22 - mmengine - INFO - Epoch(val) [7][260/310] eta: 0:00:57 time: 1.019 data_time: 0.371 memory: 9746 2022/06/27 20:06:45 - mmengine - INFO - Epoch(val) [7][280/310] eta: 0:00:33 time: 1.583 data_time: 0.929 memory: 9746 2022/06/27 20:07:04 - mmengine - INFO - Epoch(val) [7][300/310] eta: 0:00:08 time: 0.691 data_time: 0.102 memory: 9746 2022/06/27 20:07:17 - mmengine - INFO - Epoch(val) [7][310/310] acc/top1: 0.5167 acc/top5: 0.7808 acc/mean1: 0.5167 2022/06/27 20:07:25 - mmengine - INFO - Epoch(train) [8][20/3757] lr: 1.000e-02 eta: 1 day, 1:26:05 time: 0.195 data_time: 0.012 memory: 9746 grad_norm: 5.0972 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5151 loss: 2.5151 2022/06/27 20:07:31 - mmengine - INFO - Epoch(train) [8][40/3757] lr: 1.000e-02 eta: 1 day, 1:26:10 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 6.1890 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.4484 loss: 2.4484 2022/06/27 20:07:36 - mmengine - INFO - Epoch(train) [8][60/3757] lr: 1.000e-02 eta: 1 day, 1:25:59 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2918 loss: 2.2918 2022/06/27 20:07:41 - mmengine - INFO - Epoch(train) [8][80/3757] lr: 1.000e-02 eta: 1 day, 1:25:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6584 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7486 loss: 2.7486 2022/06/27 20:07:47 - mmengine - INFO - Epoch(train) [8][100/3757] lr: 1.000e-02 eta: 1 day, 1:26:03 time: 0.765 data_time: 0.007 memory: 5150 grad_norm: 5.7319 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3770 loss: 2.3770 2022/06/27 20:07:52 - mmengine - INFO - Epoch(train) [8][120/3757] lr: 1.000e-02 eta: 1 day, 1:25:56 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.1176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6657 loss: 2.6657 2022/06/27 20:07:58 - mmengine - INFO - Epoch(train) [8][140/3757] lr: 1.000e-02 eta: 1 day, 1:25:53 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 5.7001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1702 loss: 2.1702 2022/06/27 20:08:03 - mmengine - INFO - Epoch(train) [8][160/3757] lr: 1.000e-02 eta: 1 day, 1:25:52 time: 0.456 data_time: 0.007 memory: 5150 grad_norm: 5.2067 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2020 loss: 2.2020 2022/06/27 20:08:08 - mmengine - INFO - Epoch(train) [8][180/3757] lr: 1.000e-02 eta: 1 day, 1:25:44 time: 0.189 data_time: 0.010 memory: 5150 grad_norm: 5.9126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4043 loss: 2.4043 2022/06/27 20:08:14 - mmengine - INFO - Epoch(train) [8][200/3757] lr: 1.000e-02 eta: 1 day, 1:25:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.0206 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6308 loss: 2.6308 2022/06/27 20:08:20 - mmengine - INFO - Epoch(train) [8][220/3757] lr: 1.000e-02 eta: 1 day, 1:25:51 time: 0.656 data_time: 0.025 memory: 5150 grad_norm: 4.8755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5103 loss: 2.5103 2022/06/27 20:08:25 - mmengine - INFO - Epoch(train) [8][240/3757] lr: 1.000e-02 eta: 1 day, 1:25:33 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0641 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3470 loss: 2.3470 2022/06/27 20:08:30 - mmengine - INFO - Epoch(train) [8][260/3757] lr: 1.000e-02 eta: 1 day, 1:25:30 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.6851 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8229 loss: 2.8229 2022/06/27 20:08:35 - mmengine - INFO - Epoch(train) [8][280/3757] lr: 1.000e-02 eta: 1 day, 1:25:28 time: 0.308 data_time: 0.020 memory: 5150 grad_norm: 5.0477 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2135 loss: 2.2135 2022/06/27 20:08:40 - mmengine - INFO - Epoch(train) [8][300/3757] lr: 1.000e-02 eta: 1 day, 1:25:20 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 4.3718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1885 loss: 2.1885 2022/06/27 20:08:46 - mmengine - INFO - Epoch(train) [8][320/3757] lr: 1.000e-02 eta: 1 day, 1:25:14 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.2585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2605 loss: 2.2605 2022/06/27 20:08:51 - mmengine - INFO - Epoch(train) [8][340/3757] lr: 1.000e-02 eta: 1 day, 1:25:15 time: 0.669 data_time: 0.015 memory: 5150 grad_norm: 6.1945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4317 loss: 2.4317 2022/06/27 20:08:56 - mmengine - INFO - Epoch(train) [8][360/3757] lr: 1.000e-02 eta: 1 day, 1:25:05 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.6229 loss: 2.6229 2022/06/27 20:09:02 - mmengine - INFO - Epoch(train) [8][380/3757] lr: 1.000e-02 eta: 1 day, 1:25:02 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4044 loss: 2.4044 2022/06/27 20:09:07 - mmengine - INFO - Epoch(train) [8][400/3757] lr: 1.000e-02 eta: 1 day, 1:24:56 time: 0.302 data_time: 0.007 memory: 5150 grad_norm: 5.9610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3408 loss: 2.3408 2022/06/27 20:09:12 - mmengine - INFO - Epoch(train) [8][420/3757] lr: 1.000e-02 eta: 1 day, 1:24:44 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.2516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0755 loss: 2.0755 2022/06/27 20:09:17 - mmengine - INFO - Epoch(train) [8][440/3757] lr: 1.000e-02 eta: 1 day, 1:24:39 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.9143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4748 loss: 2.4748 2022/06/27 20:09:22 - mmengine - INFO - Epoch(train) [8][460/3757] lr: 1.000e-02 eta: 1 day, 1:24:35 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 6.6111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2795 loss: 2.2795 2022/06/27 20:09:27 - mmengine - INFO - Epoch(train) [8][480/3757] lr: 1.000e-02 eta: 1 day, 1:24:24 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3035 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1273 loss: 2.1273 2022/06/27 20:09:33 - mmengine - INFO - Epoch(train) [8][500/3757] lr: 1.000e-02 eta: 1 day, 1:24:26 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.0069 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5946 loss: 2.5946 2022/06/27 20:09:38 - mmengine - INFO - Epoch(train) [8][520/3757] lr: 1.000e-02 eta: 1 day, 1:24:26 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.5329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4306 loss: 2.4306 2022/06/27 20:09:43 - mmengine - INFO - Epoch(train) [8][540/3757] lr: 1.000e-02 eta: 1 day, 1:24:17 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.7896 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 3.2150 loss: 3.2150 2022/06/27 20:09:49 - mmengine - INFO - Epoch(train) [8][560/3757] lr: 1.000e-02 eta: 1 day, 1:24:13 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 4.9970 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.4296 loss: 2.4296 2022/06/27 20:09:54 - mmengine - INFO - Epoch(train) [8][580/3757] lr: 1.000e-02 eta: 1 day, 1:24:09 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 5.5456 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7310 loss: 2.7310 2022/06/27 20:09:59 - mmengine - INFO - Epoch(train) [8][600/3757] lr: 1.000e-02 eta: 1 day, 1:23:59 time: 0.357 data_time: 0.017 memory: 5150 grad_norm: 5.9715 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6473 loss: 2.6473 2022/06/27 20:10:04 - mmengine - INFO - Epoch(train) [8][620/3757] lr: 1.000e-02 eta: 1 day, 1:23:55 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.8167 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.6461 loss: 2.6461 2022/06/27 20:10:10 - mmengine - INFO - Epoch(train) [8][640/3757] lr: 1.000e-02 eta: 1 day, 1:23:58 time: 0.196 data_time: 0.019 memory: 5150 grad_norm: 5.8152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2469 loss: 2.2469 2022/06/27 20:10:15 - mmengine - INFO - Epoch(train) [8][660/3757] lr: 1.000e-02 eta: 1 day, 1:23:46 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 6.1566 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.9978 loss: 2.9978 2022/06/27 20:10:21 - mmengine - INFO - Epoch(train) [8][680/3757] lr: 1.000e-02 eta: 1 day, 1:23:46 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3098 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3995 loss: 2.3995 2022/06/27 20:10:26 - mmengine - INFO - Epoch(train) [8][700/3757] lr: 1.000e-02 eta: 1 day, 1:23:39 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.6568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7528 loss: 2.7528 2022/06/27 20:10:26 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:10:31 - mmengine - INFO - Epoch(train) [8][720/3757] lr: 1.000e-02 eta: 1 day, 1:23:34 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7447 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3303 loss: 2.3303 2022/06/27 20:10:36 - mmengine - INFO - Epoch(train) [8][740/3757] lr: 1.000e-02 eta: 1 day, 1:23:29 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0921 loss: 2.0921 2022/06/27 20:10:42 - mmengine - INFO - Epoch(train) [8][760/3757] lr: 1.000e-02 eta: 1 day, 1:23:26 time: 0.205 data_time: 0.031 memory: 5150 grad_norm: 5.8664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2054 loss: 2.2054 2022/06/27 20:10:46 - mmengine - INFO - Epoch(train) [8][780/3757] lr: 1.000e-02 eta: 1 day, 1:23:15 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.2164 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4997 loss: 2.4997 2022/06/27 20:10:52 - mmengine - INFO - Epoch(train) [8][800/3757] lr: 1.000e-02 eta: 1 day, 1:23:18 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.3397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2016 loss: 2.2016 2022/06/27 20:10:58 - mmengine - INFO - Epoch(train) [8][820/3757] lr: 1.000e-02 eta: 1 day, 1:23:12 time: 0.233 data_time: 0.052 memory: 5150 grad_norm: 4.9271 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3184 loss: 2.3184 2022/06/27 20:11:03 - mmengine - INFO - Epoch(train) [8][840/3757] lr: 1.000e-02 eta: 1 day, 1:23:06 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.0833 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4706 loss: 2.4706 2022/06/27 20:11:08 - mmengine - INFO - Epoch(train) [8][860/3757] lr: 1.000e-02 eta: 1 day, 1:23:08 time: 0.492 data_time: 0.016 memory: 5150 grad_norm: 6.1562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3216 loss: 2.3216 2022/06/27 20:11:13 - mmengine - INFO - Epoch(train) [8][880/3757] lr: 1.000e-02 eta: 1 day, 1:22:57 time: 0.205 data_time: 0.032 memory: 5150 grad_norm: 5.6727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6380 loss: 2.6380 2022/06/27 20:11:19 - mmengine - INFO - Epoch(train) [8][900/3757] lr: 1.000e-02 eta: 1 day, 1:22:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5208 loss: 2.5208 2022/06/27 20:11:24 - mmengine - INFO - Epoch(train) [8][920/3757] lr: 1.000e-02 eta: 1 day, 1:22:48 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 5.9617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6585 loss: 2.6585 2022/06/27 20:11:29 - mmengine - INFO - Epoch(train) [8][940/3757] lr: 1.000e-02 eta: 1 day, 1:22:38 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 6.1611 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4617 loss: 2.4617 2022/06/27 20:11:34 - mmengine - INFO - Epoch(train) [8][960/3757] lr: 1.000e-02 eta: 1 day, 1:22:37 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9048 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4413 loss: 2.4413 2022/06/27 20:11:40 - mmengine - INFO - Epoch(train) [8][980/3757] lr: 1.000e-02 eta: 1 day, 1:22:33 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 5.6932 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2794 loss: 2.2794 2022/06/27 20:11:44 - mmengine - INFO - Epoch(train) [8][1000/3757] lr: 1.000e-02 eta: 1 day, 1:22:22 time: 0.214 data_time: 0.042 memory: 5150 grad_norm: 5.5931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5940 loss: 2.5940 2022/06/27 20:11:50 - mmengine - INFO - Epoch(train) [8][1020/3757] lr: 1.000e-02 eta: 1 day, 1:22:22 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.2398 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5970 loss: 2.5970 2022/06/27 20:11:56 - mmengine - INFO - Epoch(train) [8][1040/3757] lr: 1.000e-02 eta: 1 day, 1:22:21 time: 0.514 data_time: 0.007 memory: 5150 grad_norm: 5.7526 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7171 loss: 2.7171 2022/06/27 20:12:01 - mmengine - INFO - Epoch(train) [8][1060/3757] lr: 1.000e-02 eta: 1 day, 1:22:14 time: 0.196 data_time: 0.027 memory: 5150 grad_norm: 5.1612 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6138 loss: 2.6138 2022/06/27 20:12:06 - mmengine - INFO - Epoch(train) [8][1080/3757] lr: 1.000e-02 eta: 1 day, 1:22:06 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2168 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3331 loss: 2.3331 2022/06/27 20:12:12 - mmengine - INFO - Epoch(train) [8][1100/3757] lr: 1.000e-02 eta: 1 day, 1:22:07 time: 0.580 data_time: 0.013 memory: 5150 grad_norm: 6.1579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3571 loss: 2.3571 2022/06/27 20:12:16 - mmengine - INFO - Epoch(train) [8][1120/3757] lr: 1.000e-02 eta: 1 day, 1:21:57 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 5.5403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5495 loss: 2.5495 2022/06/27 20:12:22 - mmengine - INFO - Epoch(train) [8][1140/3757] lr: 1.000e-02 eta: 1 day, 1:22:00 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 5.3762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5754 loss: 2.5754 2022/06/27 20:12:27 - mmengine - INFO - Epoch(train) [8][1160/3757] lr: 1.000e-02 eta: 1 day, 1:21:44 time: 0.532 data_time: 0.006 memory: 5150 grad_norm: 5.6115 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5686 loss: 2.5686 2022/06/27 20:12:32 - mmengine - INFO - Epoch(train) [8][1180/3757] lr: 1.000e-02 eta: 1 day, 1:21:34 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7544 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5281 loss: 2.5281 2022/06/27 20:12:37 - mmengine - INFO - Epoch(train) [8][1200/3757] lr: 1.000e-02 eta: 1 day, 1:21:31 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.6684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/06/27 20:12:42 - mmengine - INFO - Epoch(train) [8][1220/3757] lr: 1.000e-02 eta: 1 day, 1:21:23 time: 0.524 data_time: 0.008 memory: 5150 grad_norm: 5.4544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4651 loss: 2.4651 2022/06/27 20:12:47 - mmengine - INFO - Epoch(train) [8][1240/3757] lr: 1.000e-02 eta: 1 day, 1:21:10 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2309 loss: 2.2309 2022/06/27 20:12:53 - mmengine - INFO - Epoch(train) [8][1260/3757] lr: 1.000e-02 eta: 1 day, 1:21:12 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3414 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2076 loss: 2.2076 2022/06/27 20:12:58 - mmengine - INFO - Epoch(train) [8][1280/3757] lr: 1.000e-02 eta: 1 day, 1:21:07 time: 0.296 data_time: 0.006 memory: 5150 grad_norm: 5.0545 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0847 loss: 2.0847 2022/06/27 20:13:04 - mmengine - INFO - Epoch(train) [8][1300/3757] lr: 1.000e-02 eta: 1 day, 1:21:08 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2744 loss: 2.2744 2022/06/27 20:13:08 - mmengine - INFO - Epoch(train) [8][1320/3757] lr: 1.000e-02 eta: 1 day, 1:20:59 time: 0.291 data_time: 0.010 memory: 5150 grad_norm: 5.3121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7748 loss: 2.7748 2022/06/27 20:13:14 - mmengine - INFO - Epoch(train) [8][1340/3757] lr: 1.000e-02 eta: 1 day, 1:20:54 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.6683 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7493 loss: 2.7493 2022/06/27 20:13:20 - mmengine - INFO - Epoch(train) [8][1360/3757] lr: 1.000e-02 eta: 1 day, 1:20:55 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.1509 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7144 loss: 2.7144 2022/06/27 20:13:24 - mmengine - INFO - Epoch(train) [8][1380/3757] lr: 1.000e-02 eta: 1 day, 1:20:44 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.5996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5019 loss: 2.5019 2022/06/27 20:13:30 - mmengine - INFO - Epoch(train) [8][1400/3757] lr: 1.000e-02 eta: 1 day, 1:20:48 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6713 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7321 loss: 2.7321 2022/06/27 20:13:36 - mmengine - INFO - Epoch(train) [8][1420/3757] lr: 1.000e-02 eta: 1 day, 1:20:51 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5794 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1839 loss: 2.1839 2022/06/27 20:13:41 - mmengine - INFO - Epoch(train) [8][1440/3757] lr: 1.000e-02 eta: 1 day, 1:20:42 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0843 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3187 loss: 2.3187 2022/06/27 20:13:46 - mmengine - INFO - Epoch(train) [8][1460/3757] lr: 1.000e-02 eta: 1 day, 1:20:37 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.6312 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5778 loss: 2.5778 2022/06/27 20:13:52 - mmengine - INFO - Epoch(train) [8][1480/3757] lr: 1.000e-02 eta: 1 day, 1:20:39 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6127 loss: 2.6127 2022/06/27 20:13:57 - mmengine - INFO - Epoch(train) [8][1500/3757] lr: 1.000e-02 eta: 1 day, 1:20:24 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3063 loss: 2.3063 2022/06/27 20:14:02 - mmengine - INFO - Epoch(train) [8][1520/3757] lr: 1.000e-02 eta: 1 day, 1:20:23 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.2560 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6078 loss: 2.6078 2022/06/27 20:14:08 - mmengine - INFO - Epoch(train) [8][1540/3757] lr: 1.000e-02 eta: 1 day, 1:20:25 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.6655 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5417 loss: 2.5417 2022/06/27 20:14:13 - mmengine - INFO - Epoch(train) [8][1560/3757] lr: 1.000e-02 eta: 1 day, 1:20:13 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.9293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4187 loss: 2.4187 2022/06/27 20:14:19 - mmengine - INFO - Epoch(train) [8][1580/3757] lr: 1.000e-02 eta: 1 day, 1:20:15 time: 0.454 data_time: 0.007 memory: 5150 grad_norm: 5.1376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6640 loss: 2.6640 2022/06/27 20:14:24 - mmengine - INFO - Epoch(train) [8][1600/3757] lr: 1.000e-02 eta: 1 day, 1:20:08 time: 0.191 data_time: 0.014 memory: 5150 grad_norm: 5.6654 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.0729 loss: 3.0729 2022/06/27 20:14:28 - mmengine - INFO - Epoch(train) [8][1620/3757] lr: 1.000e-02 eta: 1 day, 1:19:55 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 5.2098 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2178 loss: 2.2178 2022/06/27 20:14:34 - mmengine - INFO - Epoch(train) [8][1640/3757] lr: 1.000e-02 eta: 1 day, 1:19:56 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 4.9064 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5230 loss: 2.5230 2022/06/27 20:14:40 - mmengine - INFO - Epoch(train) [8][1660/3757] lr: 1.000e-02 eta: 1 day, 1:19:58 time: 0.200 data_time: 0.023 memory: 5150 grad_norm: 5.1110 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7384 loss: 2.7384 2022/06/27 20:14:45 - mmengine - INFO - Epoch(train) [8][1680/3757] lr: 1.000e-02 eta: 1 day, 1:19:47 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.3684 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7150 loss: 2.7150 2022/06/27 20:14:51 - mmengine - INFO - Epoch(train) [8][1700/3757] lr: 1.000e-02 eta: 1 day, 1:19:51 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.8709 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0859 loss: 2.0859 2022/06/27 20:14:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:14:56 - mmengine - INFO - Epoch(train) [8][1720/3757] lr: 1.000e-02 eta: 1 day, 1:19:46 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.0681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1181 loss: 2.1181 2022/06/27 20:15:02 - mmengine - INFO - Epoch(train) [8][1740/3757] lr: 1.000e-02 eta: 1 day, 1:19:50 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.6992 loss: 2.6992 2022/06/27 20:15:06 - mmengine - INFO - Epoch(train) [8][1760/3757] lr: 1.000e-02 eta: 1 day, 1:19:30 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4773 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2757 loss: 2.2757 2022/06/27 20:15:11 - mmengine - INFO - Epoch(train) [8][1780/3757] lr: 1.000e-02 eta: 1 day, 1:19:26 time: 0.216 data_time: 0.014 memory: 5150 grad_norm: 5.4589 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6927 loss: 2.6927 2022/06/27 20:15:17 - mmengine - INFO - Epoch(train) [8][1800/3757] lr: 1.000e-02 eta: 1 day, 1:19:23 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.4578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1513 loss: 2.1513 2022/06/27 20:15:22 - mmengine - INFO - Epoch(train) [8][1820/3757] lr: 1.000e-02 eta: 1 day, 1:19:17 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7825 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6313 loss: 2.6313 2022/06/27 20:15:28 - mmengine - INFO - Epoch(train) [8][1840/3757] lr: 1.000e-02 eta: 1 day, 1:19:17 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.3150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5516 loss: 2.5516 2022/06/27 20:15:34 - mmengine - INFO - Epoch(train) [8][1860/3757] lr: 1.000e-02 eta: 1 day, 1:19:19 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.1702 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4141 loss: 2.4141 2022/06/27 20:15:39 - mmengine - INFO - Epoch(train) [8][1880/3757] lr: 1.000e-02 eta: 1 day, 1:19:11 time: 0.392 data_time: 0.007 memory: 5150 grad_norm: 5.6003 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4034 loss: 2.4034 2022/06/27 20:15:44 - mmengine - INFO - Epoch(train) [8][1900/3757] lr: 1.000e-02 eta: 1 day, 1:19:07 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 5.4080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3589 loss: 2.3589 2022/06/27 20:15:49 - mmengine - INFO - Epoch(train) [8][1920/3757] lr: 1.000e-02 eta: 1 day, 1:19:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7211 loss: 2.7211 2022/06/27 20:15:54 - mmengine - INFO - Epoch(train) [8][1940/3757] lr: 1.000e-02 eta: 1 day, 1:18:55 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5983 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7692 loss: 2.7692 2022/06/27 20:16:00 - mmengine - INFO - Epoch(train) [8][1960/3757] lr: 1.000e-02 eta: 1 day, 1:18:51 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.7546 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1359 loss: 2.1359 2022/06/27 20:16:05 - mmengine - INFO - Epoch(train) [8][1980/3757] lr: 1.000e-02 eta: 1 day, 1:18:48 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.3560 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3909 loss: 2.3909 2022/06/27 20:16:10 - mmengine - INFO - Epoch(train) [8][2000/3757] lr: 1.000e-02 eta: 1 day, 1:18:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7947 loss: 2.7947 2022/06/27 20:16:16 - mmengine - INFO - Epoch(train) [8][2020/3757] lr: 1.000e-02 eta: 1 day, 1:18:38 time: 0.191 data_time: 0.016 memory: 5150 grad_norm: 5.5859 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8238 loss: 2.8238 2022/06/27 20:16:21 - mmengine - INFO - Epoch(train) [8][2040/3757] lr: 1.000e-02 eta: 1 day, 1:18:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1745 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5427 loss: 2.5427 2022/06/27 20:16:26 - mmengine - INFO - Epoch(train) [8][2060/3757] lr: 1.000e-02 eta: 1 day, 1:18:31 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8003 loss: 2.8003 2022/06/27 20:16:32 - mmengine - INFO - Epoch(train) [8][2080/3757] lr: 1.000e-02 eta: 1 day, 1:18:28 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.8693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3865 loss: 2.3865 2022/06/27 20:16:37 - mmengine - INFO - Epoch(train) [8][2100/3757] lr: 1.000e-02 eta: 1 day, 1:18:28 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.5007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8298 loss: 2.8298 2022/06/27 20:16:42 - mmengine - INFO - Epoch(train) [8][2120/3757] lr: 1.000e-02 eta: 1 day, 1:18:18 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.4479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3499 loss: 2.3499 2022/06/27 20:16:47 - mmengine - INFO - Epoch(train) [8][2140/3757] lr: 1.000e-02 eta: 1 day, 1:18:12 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1475 loss: 2.1475 2022/06/27 20:16:53 - mmengine - INFO - Epoch(train) [8][2160/3757] lr: 1.000e-02 eta: 1 day, 1:18:09 time: 0.207 data_time: 0.027 memory: 5150 grad_norm: 5.6455 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0782 loss: 2.0782 2022/06/27 20:16:58 - mmengine - INFO - Epoch(train) [8][2180/3757] lr: 1.000e-02 eta: 1 day, 1:18:00 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0062 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6806 loss: 2.6806 2022/06/27 20:17:04 - mmengine - INFO - Epoch(train) [8][2200/3757] lr: 1.000e-02 eta: 1 day, 1:18:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8953 loss: 2.8953 2022/06/27 20:17:10 - mmengine - INFO - Epoch(train) [8][2220/3757] lr: 1.000e-02 eta: 1 day, 1:18:14 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 6.7902 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.8216 loss: 2.8216 2022/06/27 20:17:14 - mmengine - INFO - Epoch(train) [8][2240/3757] lr: 1.000e-02 eta: 1 day, 1:17:55 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4378 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5182 loss: 2.5182 2022/06/27 20:17:19 - mmengine - INFO - Epoch(train) [8][2260/3757] lr: 1.000e-02 eta: 1 day, 1:17:45 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.4563 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6209 loss: 2.6209 2022/06/27 20:17:25 - mmengine - INFO - Epoch(train) [8][2280/3757] lr: 1.000e-02 eta: 1 day, 1:17:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 4.9223 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.0537 loss: 3.0537 2022/06/27 20:17:30 - mmengine - INFO - Epoch(train) [8][2300/3757] lr: 1.000e-02 eta: 1 day, 1:17:33 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2757 loss: 2.2757 2022/06/27 20:17:35 - mmengine - INFO - Epoch(train) [8][2320/3757] lr: 1.000e-02 eta: 1 day, 1:17:27 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.0505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4388 loss: 2.4388 2022/06/27 20:17:40 - mmengine - INFO - Epoch(train) [8][2340/3757] lr: 1.000e-02 eta: 1 day, 1:17:25 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.2572 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8395 loss: 2.8395 2022/06/27 20:17:46 - mmengine - INFO - Epoch(train) [8][2360/3757] lr: 1.000e-02 eta: 1 day, 1:17:18 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.5748 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4480 loss: 2.4480 2022/06/27 20:17:51 - mmengine - INFO - Epoch(train) [8][2380/3757] lr: 1.000e-02 eta: 1 day, 1:17:18 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4794 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8957 loss: 2.8957 2022/06/27 20:17:56 - mmengine - INFO - Epoch(train) [8][2400/3757] lr: 1.000e-02 eta: 1 day, 1:17:13 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.9492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3802 loss: 2.3802 2022/06/27 20:18:02 - mmengine - INFO - Epoch(train) [8][2420/3757] lr: 1.000e-02 eta: 1 day, 1:17:14 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.5411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6157 loss: 2.6157 2022/06/27 20:18:08 - mmengine - INFO - Epoch(train) [8][2440/3757] lr: 1.000e-02 eta: 1 day, 1:17:10 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2712 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8476 loss: 2.8476 2022/06/27 20:18:13 - mmengine - INFO - Epoch(train) [8][2460/3757] lr: 1.000e-02 eta: 1 day, 1:17:10 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.2490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3058 loss: 2.3058 2022/06/27 20:18:19 - mmengine - INFO - Epoch(train) [8][2480/3757] lr: 1.000e-02 eta: 1 day, 1:17:07 time: 0.290 data_time: 0.007 memory: 5150 grad_norm: 5.9876 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8315 loss: 2.8315 2022/06/27 20:18:24 - mmengine - INFO - Epoch(train) [8][2500/3757] lr: 1.000e-02 eta: 1 day, 1:16:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0520 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.9991 loss: 2.9991 2022/06/27 20:18:30 - mmengine - INFO - Epoch(train) [8][2520/3757] lr: 1.000e-02 eta: 1 day, 1:17:00 time: 0.196 data_time: 0.025 memory: 5150 grad_norm: 5.9621 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2678 loss: 2.2678 2022/06/27 20:18:34 - mmengine - INFO - Epoch(train) [8][2540/3757] lr: 1.000e-02 eta: 1 day, 1:16:49 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.5662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7028 loss: 2.7028 2022/06/27 20:18:40 - mmengine - INFO - Epoch(train) [8][2560/3757] lr: 1.000e-02 eta: 1 day, 1:16:51 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.2787 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.1660 loss: 3.1660 2022/06/27 20:18:46 - mmengine - INFO - Epoch(train) [8][2580/3757] lr: 1.000e-02 eta: 1 day, 1:16:51 time: 0.209 data_time: 0.039 memory: 5150 grad_norm: 4.9915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7146 loss: 2.7146 2022/06/27 20:18:51 - mmengine - INFO - Epoch(train) [8][2600/3757] lr: 1.000e-02 eta: 1 day, 1:16:45 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8971 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3256 loss: 2.3256 2022/06/27 20:18:56 - mmengine - INFO - Epoch(train) [8][2620/3757] lr: 1.000e-02 eta: 1 day, 1:16:42 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.9707 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4756 loss: 2.4756 2022/06/27 20:19:02 - mmengine - INFO - Epoch(train) [8][2640/3757] lr: 1.000e-02 eta: 1 day, 1:16:41 time: 0.194 data_time: 0.028 memory: 5150 grad_norm: 5.0577 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3212 loss: 2.3212 2022/06/27 20:19:07 - mmengine - INFO - Epoch(train) [8][2660/3757] lr: 1.000e-02 eta: 1 day, 1:16:37 time: 0.457 data_time: 0.007 memory: 5150 grad_norm: 5.5798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1789 loss: 2.1789 2022/06/27 20:19:13 - mmengine - INFO - Epoch(train) [8][2680/3757] lr: 1.000e-02 eta: 1 day, 1:16:36 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.9642 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9736 loss: 1.9736 2022/06/27 20:19:18 - mmengine - INFO - Epoch(train) [8][2700/3757] lr: 1.000e-02 eta: 1 day, 1:16:29 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 5.5378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4833 loss: 2.4833 2022/06/27 20:19:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:19:24 - mmengine - INFO - Epoch(train) [8][2720/3757] lr: 1.000e-02 eta: 1 day, 1:16:30 time: 0.951 data_time: 0.007 memory: 5150 grad_norm: 6.3876 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4436 loss: 2.4436 2022/06/27 20:19:29 - mmengine - INFO - Epoch(train) [8][2740/3757] lr: 1.000e-02 eta: 1 day, 1:16:20 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.0991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5574 loss: 2.5574 2022/06/27 20:19:34 - mmengine - INFO - Epoch(train) [8][2760/3757] lr: 1.000e-02 eta: 1 day, 1:16:15 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 4.8609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7792 loss: 2.7792 2022/06/27 20:19:39 - mmengine - INFO - Epoch(train) [8][2780/3757] lr: 1.000e-02 eta: 1 day, 1:16:12 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.1114 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8405 loss: 2.8405 2022/06/27 20:19:45 - mmengine - INFO - Epoch(train) [8][2800/3757] lr: 1.000e-02 eta: 1 day, 1:16:08 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.1547 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.5410 loss: 2.5410 2022/06/27 20:19:50 - mmengine - INFO - Epoch(train) [8][2820/3757] lr: 1.000e-02 eta: 1 day, 1:16:03 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7965 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4490 loss: 2.4490 2022/06/27 20:19:55 - mmengine - INFO - Epoch(train) [8][2840/3757] lr: 1.000e-02 eta: 1 day, 1:15:54 time: 0.412 data_time: 0.009 memory: 5150 grad_norm: 5.2135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3194 loss: 2.3194 2022/06/27 20:20:01 - mmengine - INFO - Epoch(train) [8][2860/3757] lr: 1.000e-02 eta: 1 day, 1:15:58 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.2313 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7823 loss: 2.7823 2022/06/27 20:20:06 - mmengine - INFO - Epoch(train) [8][2880/3757] lr: 1.000e-02 eta: 1 day, 1:15:52 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5409 loss: 2.5409 2022/06/27 20:20:11 - mmengine - INFO - Epoch(train) [8][2900/3757] lr: 1.000e-02 eta: 1 day, 1:15:43 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 4.4516 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3972 loss: 2.3972 2022/06/27 20:20:17 - mmengine - INFO - Epoch(train) [8][2920/3757] lr: 1.000e-02 eta: 1 day, 1:15:41 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6117 loss: 2.6117 2022/06/27 20:20:22 - mmengine - INFO - Epoch(train) [8][2940/3757] lr: 1.000e-02 eta: 1 day, 1:15:36 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3794 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7419 loss: 2.7419 2022/06/27 20:20:28 - mmengine - INFO - Epoch(train) [8][2960/3757] lr: 1.000e-02 eta: 1 day, 1:15:34 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7053 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6673 loss: 2.6673 2022/06/27 20:20:33 - mmengine - INFO - Epoch(train) [8][2980/3757] lr: 1.000e-02 eta: 1 day, 1:15:33 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.7912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4972 loss: 2.4972 2022/06/27 20:20:38 - mmengine - INFO - Epoch(train) [8][3000/3757] lr: 1.000e-02 eta: 1 day, 1:15:27 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5463 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.7566 loss: 2.7566 2022/06/27 20:20:44 - mmengine - INFO - Epoch(train) [8][3020/3757] lr: 1.000e-02 eta: 1 day, 1:15:27 time: 0.464 data_time: 0.041 memory: 5150 grad_norm: 5.8772 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4348 loss: 2.4348 2022/06/27 20:20:49 - mmengine - INFO - Epoch(train) [8][3040/3757] lr: 1.000e-02 eta: 1 day, 1:15:17 time: 0.234 data_time: 0.017 memory: 5150 grad_norm: 6.0646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5312 loss: 2.5312 2022/06/27 20:20:54 - mmengine - INFO - Epoch(train) [8][3060/3757] lr: 1.000e-02 eta: 1 day, 1:15:14 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5558 loss: 2.5558 2022/06/27 20:21:00 - mmengine - INFO - Epoch(train) [8][3080/3757] lr: 1.000e-02 eta: 1 day, 1:15:15 time: 0.555 data_time: 0.007 memory: 5150 grad_norm: 6.3491 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4147 loss: 2.4147 2022/06/27 20:21:05 - mmengine - INFO - Epoch(train) [8][3100/3757] lr: 1.000e-02 eta: 1 day, 1:15:08 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3172 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2449 loss: 2.2449 2022/06/27 20:21:11 - mmengine - INFO - Epoch(train) [8][3120/3757] lr: 1.000e-02 eta: 1 day, 1:15:05 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.0927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2063 loss: 2.2063 2022/06/27 20:21:16 - mmengine - INFO - Epoch(train) [8][3140/3757] lr: 1.000e-02 eta: 1 day, 1:15:03 time: 0.337 data_time: 0.009 memory: 5150 grad_norm: 4.9787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6115 loss: 2.6115 2022/06/27 20:21:22 - mmengine - INFO - Epoch(train) [8][3160/3757] lr: 1.000e-02 eta: 1 day, 1:15:02 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.1462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6379 loss: 2.6379 2022/06/27 20:21:26 - mmengine - INFO - Epoch(train) [8][3180/3757] lr: 1.000e-02 eta: 1 day, 1:14:43 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 4.9953 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5868 loss: 2.5868 2022/06/27 20:21:32 - mmengine - INFO - Epoch(train) [8][3200/3757] lr: 1.000e-02 eta: 1 day, 1:14:46 time: 0.431 data_time: 0.009 memory: 5150 grad_norm: 5.8819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1598 loss: 2.1598 2022/06/27 20:21:37 - mmengine - INFO - Epoch(train) [8][3220/3757] lr: 1.000e-02 eta: 1 day, 1:14:35 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 5.8358 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4917 loss: 2.4917 2022/06/27 20:21:42 - mmengine - INFO - Epoch(train) [8][3240/3757] lr: 1.000e-02 eta: 1 day, 1:14:34 time: 0.188 data_time: 0.015 memory: 5150 grad_norm: 4.6886 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2716 loss: 2.2716 2022/06/27 20:21:48 - mmengine - INFO - Epoch(train) [8][3260/3757] lr: 1.000e-02 eta: 1 day, 1:14:34 time: 0.269 data_time: 0.007 memory: 5150 grad_norm: 5.6992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4010 loss: 2.4010 2022/06/27 20:21:53 - mmengine - INFO - Epoch(train) [8][3280/3757] lr: 1.000e-02 eta: 1 day, 1:14:27 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 4.7528 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4285 loss: 2.4285 2022/06/27 20:21:58 - mmengine - INFO - Epoch(train) [8][3300/3757] lr: 1.000e-02 eta: 1 day, 1:14:22 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5546 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8282 loss: 2.8282 2022/06/27 20:22:04 - mmengine - INFO - Epoch(train) [8][3320/3757] lr: 1.000e-02 eta: 1 day, 1:14:23 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.4157 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5176 loss: 2.5176 2022/06/27 20:22:09 - mmengine - INFO - Epoch(train) [8][3340/3757] lr: 1.000e-02 eta: 1 day, 1:14:14 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.1752 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6088 loss: 2.6088 2022/06/27 20:22:15 - mmengine - INFO - Epoch(train) [8][3360/3757] lr: 1.000e-02 eta: 1 day, 1:14:20 time: 0.222 data_time: 0.006 memory: 5150 grad_norm: 5.5251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6159 loss: 2.6159 2022/06/27 20:22:20 - mmengine - INFO - Epoch(train) [8][3380/3757] lr: 1.000e-02 eta: 1 day, 1:14:12 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4334 loss: 2.4334 2022/06/27 20:22:25 - mmengine - INFO - Epoch(train) [8][3400/3757] lr: 1.000e-02 eta: 1 day, 1:14:04 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.1579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7599 loss: 1.7599 2022/06/27 20:22:31 - mmengine - INFO - Epoch(train) [8][3420/3757] lr: 1.000e-02 eta: 1 day, 1:14:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5007 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1251 loss: 2.1251 2022/06/27 20:22:37 - mmengine - INFO - Epoch(train) [8][3440/3757] lr: 1.000e-02 eta: 1 day, 1:14:03 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.5096 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4248 loss: 2.4248 2022/06/27 20:22:43 - mmengine - INFO - Epoch(train) [8][3460/3757] lr: 1.000e-02 eta: 1 day, 1:14:06 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3778 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7515 loss: 2.7515 2022/06/27 20:22:47 - mmengine - INFO - Epoch(train) [8][3480/3757] lr: 1.000e-02 eta: 1 day, 1:13:48 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 5.8546 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2647 loss: 2.2647 2022/06/27 20:22:51 - mmengine - INFO - Epoch(train) [8][3500/3757] lr: 1.000e-02 eta: 1 day, 1:13:28 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.2595 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4756 loss: 2.4756 2022/06/27 20:22:55 - mmengine - INFO - Epoch(train) [8][3520/3757] lr: 1.000e-02 eta: 1 day, 1:13:13 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.3506 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.9005 loss: 2.9005 2022/06/27 20:23:01 - mmengine - INFO - Epoch(train) [8][3540/3757] lr: 1.000e-02 eta: 1 day, 1:13:12 time: 0.445 data_time: 0.013 memory: 5150 grad_norm: 5.5715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6639 loss: 2.6639 2022/06/27 20:23:06 - mmengine - INFO - Epoch(train) [8][3560/3757] lr: 1.000e-02 eta: 1 day, 1:13:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3989 loss: 2.3989 2022/06/27 20:23:11 - mmengine - INFO - Epoch(train) [8][3580/3757] lr: 1.000e-02 eta: 1 day, 1:13:03 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3495 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6358 loss: 2.6358 2022/06/27 20:23:17 - mmengine - INFO - Epoch(train) [8][3600/3757] lr: 1.000e-02 eta: 1 day, 1:13:01 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 5.4169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6110 loss: 2.6110 2022/06/27 20:23:22 - mmengine - INFO - Epoch(train) [8][3620/3757] lr: 1.000e-02 eta: 1 day, 1:12:54 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7264 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6230 loss: 2.6230 2022/06/27 20:23:28 - mmengine - INFO - Epoch(train) [8][3640/3757] lr: 1.000e-02 eta: 1 day, 1:12:55 time: 0.325 data_time: 0.007 memory: 5150 grad_norm: 5.1941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0061 loss: 2.0061 2022/06/27 20:23:33 - mmengine - INFO - Epoch(train) [8][3660/3757] lr: 1.000e-02 eta: 1 day, 1:12:53 time: 0.195 data_time: 0.024 memory: 5150 grad_norm: 5.1175 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5806 loss: 2.5806 2022/06/27 20:23:38 - mmengine - INFO - Epoch(train) [8][3680/3757] lr: 1.000e-02 eta: 1 day, 1:12:44 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 5.0371 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2977 loss: 2.2977 2022/06/27 20:23:44 - mmengine - INFO - Epoch(train) [8][3700/3757] lr: 1.000e-02 eta: 1 day, 1:12:40 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.0141 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3610 loss: 2.3610 2022/06/27 20:23:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:23:49 - mmengine - INFO - Epoch(train) [8][3720/3757] lr: 1.000e-02 eta: 1 day, 1:12:38 time: 0.229 data_time: 0.018 memory: 5150 grad_norm: 5.9932 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4210 loss: 2.4210 2022/06/27 20:23:54 - mmengine - INFO - Epoch(train) [8][3740/3757] lr: 1.000e-02 eta: 1 day, 1:12:31 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.4711 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2689 loss: 2.2689 2022/06/27 20:23:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:24:31 - mmengine - INFO - Epoch(val) [8][20/310] eta: 0:05:42 time: 1.086 data_time: 0.429 memory: 9746 2022/06/27 20:24:53 - mmengine - INFO - Epoch(val) [8][40/310] eta: 0:04:52 time: 0.995 data_time: 0.355 memory: 9746 2022/06/27 20:25:16 - mmengine - INFO - Epoch(val) [8][60/310] eta: 0:04:30 time: 1.073 data_time: 0.448 memory: 9746 2022/06/27 20:25:41 - mmengine - INFO - Epoch(val) [8][80/310] eta: 0:05:31 time: 1.028 data_time: 0.382 memory: 9746 2022/06/27 20:26:05 - mmengine - INFO - Epoch(val) [8][100/310] eta: 0:04:13 time: 2.791 data_time: 2.085 memory: 9746 2022/06/27 20:26:25 - mmengine - INFO - Epoch(val) [8][120/310] eta: 0:03:19 time: 1.055 data_time: 0.425 memory: 9746 2022/06/27 20:26:50 - mmengine - INFO - Epoch(val) [8][140/310] eta: 0:03:18 time: 1.053 data_time: 0.403 memory: 9746 2022/06/27 20:27:15 - mmengine - INFO - Epoch(val) [8][160/310] eta: 0:03:18 time: 3.478 data_time: 2.805 memory: 9746 2022/06/27 20:27:38 - mmengine - INFO - Epoch(val) [8][180/310] eta: 0:02:46 time: 1.152 data_time: 0.507 memory: 9746 2022/06/27 20:28:00 - mmengine - INFO - Epoch(val) [8][200/310] eta: 0:02:09 time: 1.036 data_time: 0.390 memory: 9746 2022/06/27 20:28:21 - mmengine - INFO - Epoch(val) [8][220/310] eta: 0:01:36 time: 1.219 data_time: 0.569 memory: 9746 2022/06/27 20:28:43 - mmengine - INFO - Epoch(val) [8][240/310] eta: 0:01:15 time: 1.043 data_time: 0.402 memory: 9746 2022/06/27 20:29:07 - mmengine - INFO - Epoch(val) [8][260/310] eta: 0:00:59 time: 0.958 data_time: 0.329 memory: 9746 2022/06/27 20:29:31 - mmengine - INFO - Epoch(val) [8][280/310] eta: 0:00:36 time: 2.382 data_time: 1.693 memory: 9746 2022/06/27 20:29:49 - mmengine - INFO - Epoch(val) [8][300/310] eta: 0:00:07 time: 0.618 data_time: 0.058 memory: 9746 2022/06/27 20:29:59 - mmengine - INFO - Epoch(val) [8][310/310] acc/top1: 0.5139 acc/top5: 0.7784 acc/mean1: 0.5138 2022/06/27 20:30:08 - mmengine - INFO - Epoch(train) [9][20/3757] lr: 1.000e-02 eta: 1 day, 1:12:30 time: 0.189 data_time: 0.007 memory: 9746 grad_norm: 5.4174 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7692 loss: 2.7692 2022/06/27 20:30:14 - mmengine - INFO - Epoch(train) [9][40/3757] lr: 1.000e-02 eta: 1 day, 1:12:32 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.4725 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5912 loss: 2.5912 2022/06/27 20:30:18 - mmengine - INFO - Epoch(train) [9][60/3757] lr: 1.000e-02 eta: 1 day, 1:12:21 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.2759 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6742 loss: 2.6742 2022/06/27 20:30:24 - mmengine - INFO - Epoch(train) [9][80/3757] lr: 1.000e-02 eta: 1 day, 1:12:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/06/27 20:30:30 - mmengine - INFO - Epoch(train) [9][100/3757] lr: 1.000e-02 eta: 1 day, 1:12:28 time: 0.427 data_time: 0.009 memory: 5150 grad_norm: 6.1138 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6979 loss: 2.6979 2022/06/27 20:30:35 - mmengine - INFO - Epoch(train) [9][120/3757] lr: 1.000e-02 eta: 1 day, 1:12:11 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.3097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7426 loss: 2.7426 2022/06/27 20:30:41 - mmengine - INFO - Epoch(train) [9][140/3757] lr: 1.000e-02 eta: 1 day, 1:12:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7652 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.8756 loss: 2.8756 2022/06/27 20:30:46 - mmengine - INFO - Epoch(train) [9][160/3757] lr: 1.000e-02 eta: 1 day, 1:12:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.5776 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2962 loss: 2.2962 2022/06/27 20:30:51 - mmengine - INFO - Epoch(train) [9][180/3757] lr: 1.000e-02 eta: 1 day, 1:12:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.9445 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6852 loss: 2.6852 2022/06/27 20:30:57 - mmengine - INFO - Epoch(train) [9][200/3757] lr: 1.000e-02 eta: 1 day, 1:12:01 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4900 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2170 loss: 2.2170 2022/06/27 20:31:02 - mmengine - INFO - Epoch(train) [9][220/3757] lr: 1.000e-02 eta: 1 day, 1:11:59 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.3832 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3202 loss: 2.3202 2022/06/27 20:31:07 - mmengine - INFO - Epoch(train) [9][240/3757] lr: 1.000e-02 eta: 1 day, 1:11:48 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6690 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7147 loss: 2.7147 2022/06/27 20:31:13 - mmengine - INFO - Epoch(train) [9][260/3757] lr: 1.000e-02 eta: 1 day, 1:11:46 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3494 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.4044 loss: 2.4044 2022/06/27 20:31:18 - mmengine - INFO - Epoch(train) [9][280/3757] lr: 1.000e-02 eta: 1 day, 1:11:43 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 5.6247 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1899 loss: 2.1899 2022/06/27 20:31:23 - mmengine - INFO - Epoch(train) [9][300/3757] lr: 1.000e-02 eta: 1 day, 1:11:34 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.1824 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5517 loss: 2.5517 2022/06/27 20:31:29 - mmengine - INFO - Epoch(train) [9][320/3757] lr: 1.000e-02 eta: 1 day, 1:11:35 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.9837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4295 loss: 2.4295 2022/06/27 20:31:34 - mmengine - INFO - Epoch(train) [9][340/3757] lr: 1.000e-02 eta: 1 day, 1:11:33 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.3874 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0739 loss: 2.0739 2022/06/27 20:31:39 - mmengine - INFO - Epoch(train) [9][360/3757] lr: 1.000e-02 eta: 1 day, 1:11:26 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6190 loss: 2.6190 2022/06/27 20:31:45 - mmengine - INFO - Epoch(train) [9][380/3757] lr: 1.000e-02 eta: 1 day, 1:11:21 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.6769 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3293 loss: 2.3293 2022/06/27 20:31:51 - mmengine - INFO - Epoch(train) [9][400/3757] lr: 1.000e-02 eta: 1 day, 1:11:29 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.3138 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1805 loss: 2.1805 2022/06/27 20:31:56 - mmengine - INFO - Epoch(train) [9][420/3757] lr: 1.000e-02 eta: 1 day, 1:11:15 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5064 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6016 loss: 2.6016 2022/06/27 20:32:01 - mmengine - INFO - Epoch(train) [9][440/3757] lr: 1.000e-02 eta: 1 day, 1:11:09 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.9231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5178 loss: 2.5178 2022/06/27 20:32:06 - mmengine - INFO - Epoch(train) [9][460/3757] lr: 1.000e-02 eta: 1 day, 1:11:05 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 5.2849 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.4351 loss: 2.4351 2022/06/27 20:32:11 - mmengine - INFO - Epoch(train) [9][480/3757] lr: 1.000e-02 eta: 1 day, 1:11:00 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.5710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9954 loss: 1.9954 2022/06/27 20:32:17 - mmengine - INFO - Epoch(train) [9][500/3757] lr: 1.000e-02 eta: 1 day, 1:11:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3762 loss: 2.3762 2022/06/27 20:32:23 - mmengine - INFO - Epoch(train) [9][520/3757] lr: 1.000e-02 eta: 1 day, 1:11:02 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.1207 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2251 loss: 2.2251 2022/06/27 20:32:28 - mmengine - INFO - Epoch(train) [9][540/3757] lr: 1.000e-02 eta: 1 day, 1:10:50 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.9858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2616 loss: 2.2616 2022/06/27 20:32:33 - mmengine - INFO - Epoch(train) [9][560/3757] lr: 1.000e-02 eta: 1 day, 1:10:49 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.8387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4985 loss: 2.4985 2022/06/27 20:32:39 - mmengine - INFO - Epoch(train) [9][580/3757] lr: 1.000e-02 eta: 1 day, 1:10:46 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.5117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8822 loss: 2.8822 2022/06/27 20:32:43 - mmengine - INFO - Epoch(train) [9][600/3757] lr: 1.000e-02 eta: 1 day, 1:10:34 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 5.8274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/06/27 20:32:49 - mmengine - INFO - Epoch(train) [9][620/3757] lr: 1.000e-02 eta: 1 day, 1:10:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.4311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2938 loss: 2.2938 2022/06/27 20:32:55 - mmengine - INFO - Epoch(train) [9][640/3757] lr: 1.000e-02 eta: 1 day, 1:10:32 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.9717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3301 loss: 2.3301 2022/06/27 20:32:59 - mmengine - INFO - Epoch(train) [9][660/3757] lr: 1.000e-02 eta: 1 day, 1:10:20 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.6269 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7853 loss: 2.7853 2022/06/27 20:33:05 - mmengine - INFO - Epoch(train) [9][680/3757] lr: 1.000e-02 eta: 1 day, 1:10:23 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.5966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/06/27 20:33:10 - mmengine - INFO - Epoch(train) [9][700/3757] lr: 1.000e-02 eta: 1 day, 1:10:06 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.6536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2928 loss: 2.2928 2022/06/27 20:33:15 - mmengine - INFO - Epoch(train) [9][720/3757] lr: 1.000e-02 eta: 1 day, 1:10:09 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9817 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.9964 loss: 2.9964 2022/06/27 20:33:21 - mmengine - INFO - Epoch(train) [9][740/3757] lr: 1.000e-02 eta: 1 day, 1:10:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7686 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8734 loss: 1.8734 2022/06/27 20:33:26 - mmengine - INFO - Epoch(train) [9][760/3757] lr: 1.000e-02 eta: 1 day, 1:09:59 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.0184 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4940 loss: 2.4940 2022/06/27 20:33:32 - mmengine - INFO - Epoch(train) [9][780/3757] lr: 1.000e-02 eta: 1 day, 1:09:58 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.9821 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4352 loss: 2.4352 2022/06/27 20:33:37 - mmengine - INFO - Epoch(train) [9][800/3757] lr: 1.000e-02 eta: 1 day, 1:09:49 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.8705 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5070 loss: 2.5070 2022/06/27 20:33:42 - mmengine - INFO - Epoch(train) [9][820/3757] lr: 1.000e-02 eta: 1 day, 1:09:43 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.3790 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3177 loss: 2.3177 2022/06/27 20:33:47 - mmengine - INFO - Epoch(train) [9][840/3757] lr: 1.000e-02 eta: 1 day, 1:09:38 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.9537 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5523 loss: 2.5523 2022/06/27 20:33:52 - mmengine - INFO - Epoch(train) [9][860/3757] lr: 1.000e-02 eta: 1 day, 1:09:32 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5664 loss: 2.5664 2022/06/27 20:33:58 - mmengine - INFO - Epoch(train) [9][880/3757] lr: 1.000e-02 eta: 1 day, 1:09:30 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 5.1880 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2510 loss: 2.2510 2022/06/27 20:34:03 - mmengine - INFO - Epoch(train) [9][900/3757] lr: 1.000e-02 eta: 1 day, 1:09:28 time: 0.204 data_time: 0.032 memory: 5150 grad_norm: 4.7840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4028 loss: 2.4028 2022/06/27 20:34:08 - mmengine - INFO - Epoch(train) [9][920/3757] lr: 1.000e-02 eta: 1 day, 1:09:19 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2378 loss: 2.2378 2022/06/27 20:34:14 - mmengine - INFO - Epoch(train) [9][940/3757] lr: 1.000e-02 eta: 1 day, 1:09:17 time: 0.200 data_time: 0.023 memory: 5150 grad_norm: 5.1180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2522 loss: 2.2522 2022/06/27 20:34:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:34:19 - mmengine - INFO - Epoch(train) [9][960/3757] lr: 1.000e-02 eta: 1 day, 1:09:09 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.1066 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7561 loss: 2.7561 2022/06/27 20:34:24 - mmengine - INFO - Epoch(train) [9][980/3757] lr: 1.000e-02 eta: 1 day, 1:09:07 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.6100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4813 loss: 2.4813 2022/06/27 20:34:30 - mmengine - INFO - Epoch(train) [9][1000/3757] lr: 1.000e-02 eta: 1 day, 1:09:01 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 4.9528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4526 loss: 2.4526 2022/06/27 20:34:35 - mmengine - INFO - Epoch(train) [9][1020/3757] lr: 1.000e-02 eta: 1 day, 1:09:00 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 5.1200 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4417 loss: 2.4417 2022/06/27 20:34:40 - mmengine - INFO - Epoch(train) [9][1040/3757] lr: 1.000e-02 eta: 1 day, 1:08:51 time: 0.251 data_time: 0.012 memory: 5150 grad_norm: 5.6603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7283 loss: 1.7283 2022/06/27 20:34:46 - mmengine - INFO - Epoch(train) [9][1060/3757] lr: 1.000e-02 eta: 1 day, 1:08:50 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.2906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6270 loss: 2.6270 2022/06/27 20:34:51 - mmengine - INFO - Epoch(train) [9][1080/3757] lr: 1.000e-02 eta: 1 day, 1:08:50 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2522 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4336 loss: 2.4336 2022/06/27 20:34:56 - mmengine - INFO - Epoch(train) [9][1100/3757] lr: 1.000e-02 eta: 1 day, 1:08:38 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.3390 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4583 loss: 2.4583 2022/06/27 20:35:02 - mmengine - INFO - Epoch(train) [9][1120/3757] lr: 1.000e-02 eta: 1 day, 1:08:38 time: 0.190 data_time: 0.006 memory: 5150 grad_norm: 5.7598 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3998 loss: 2.3998 2022/06/27 20:35:07 - mmengine - INFO - Epoch(train) [9][1140/3757] lr: 1.000e-02 eta: 1 day, 1:08:30 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1392 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0323 loss: 2.0323 2022/06/27 20:35:12 - mmengine - INFO - Epoch(train) [9][1160/3757] lr: 1.000e-02 eta: 1 day, 1:08:24 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.1437 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3593 loss: 2.3593 2022/06/27 20:35:17 - mmengine - INFO - Epoch(train) [9][1180/3757] lr: 1.000e-02 eta: 1 day, 1:08:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.8164 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2895 loss: 2.2895 2022/06/27 20:35:23 - mmengine - INFO - Epoch(train) [9][1200/3757] lr: 1.000e-02 eta: 1 day, 1:08:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0517 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2817 loss: 2.2817 2022/06/27 20:35:28 - mmengine - INFO - Epoch(train) [9][1220/3757] lr: 1.000e-02 eta: 1 day, 1:08:07 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 4.7601 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3481 loss: 2.3481 2022/06/27 20:35:33 - mmengine - INFO - Epoch(train) [9][1240/3757] lr: 1.000e-02 eta: 1 day, 1:08:00 time: 0.189 data_time: 0.011 memory: 5150 grad_norm: 5.4766 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0521 loss: 2.0521 2022/06/27 20:35:38 - mmengine - INFO - Epoch(train) [9][1260/3757] lr: 1.000e-02 eta: 1 day, 1:07:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4666 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9887 loss: 2.9887 2022/06/27 20:35:43 - mmengine - INFO - Epoch(train) [9][1280/3757] lr: 1.000e-02 eta: 1 day, 1:07:47 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 5.9719 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6005 loss: 2.6005 2022/06/27 20:35:49 - mmengine - INFO - Epoch(train) [9][1300/3757] lr: 1.000e-02 eta: 1 day, 1:07:49 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.6913 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2711 loss: 2.2711 2022/06/27 20:35:54 - mmengine - INFO - Epoch(train) [9][1320/3757] lr: 1.000e-02 eta: 1 day, 1:07:42 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.5527 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4391 loss: 2.4391 2022/06/27 20:35:59 - mmengine - INFO - Epoch(train) [9][1340/3757] lr: 1.000e-02 eta: 1 day, 1:07:33 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.5123 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2335 loss: 2.2335 2022/06/27 20:36:04 - mmengine - INFO - Epoch(train) [9][1360/3757] lr: 1.000e-02 eta: 1 day, 1:07:27 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4332 loss: 2.4332 2022/06/27 20:36:10 - mmengine - INFO - Epoch(train) [9][1380/3757] lr: 1.000e-02 eta: 1 day, 1:07:23 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2034 loss: 2.2034 2022/06/27 20:36:14 - mmengine - INFO - Epoch(train) [9][1400/3757] lr: 1.000e-02 eta: 1 day, 1:07:14 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 5.8619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5702 loss: 2.5702 2022/06/27 20:36:20 - mmengine - INFO - Epoch(train) [9][1420/3757] lr: 1.000e-02 eta: 1 day, 1:07:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5652 loss: 2.5652 2022/06/27 20:36:26 - mmengine - INFO - Epoch(train) [9][1440/3757] lr: 1.000e-02 eta: 1 day, 1:07:12 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8992 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5027 loss: 2.5027 2022/06/27 20:36:31 - mmengine - INFO - Epoch(train) [9][1460/3757] lr: 1.000e-02 eta: 1 day, 1:07:05 time: 0.245 data_time: 0.044 memory: 5150 grad_norm: 5.1441 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2361 loss: 2.2361 2022/06/27 20:36:36 - mmengine - INFO - Epoch(train) [9][1480/3757] lr: 1.000e-02 eta: 1 day, 1:06:57 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.4792 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.7582 loss: 2.7582 2022/06/27 20:36:43 - mmengine - INFO - Epoch(train) [9][1500/3757] lr: 1.000e-02 eta: 1 day, 1:07:08 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.7375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4430 loss: 2.4430 2022/06/27 20:36:47 - mmengine - INFO - Epoch(train) [9][1520/3757] lr: 1.000e-02 eta: 1 day, 1:06:50 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.5299 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4765 loss: 2.4765 2022/06/27 20:36:51 - mmengine - INFO - Epoch(train) [9][1540/3757] lr: 1.000e-02 eta: 1 day, 1:06:34 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5310 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4571 loss: 2.4571 2022/06/27 20:36:56 - mmengine - INFO - Epoch(train) [9][1560/3757] lr: 1.000e-02 eta: 1 day, 1:06:28 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.0240 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8194 loss: 2.8194 2022/06/27 20:37:01 - mmengine - INFO - Epoch(train) [9][1580/3757] lr: 1.000e-02 eta: 1 day, 1:06:19 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.7080 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4986 loss: 2.4986 2022/06/27 20:37:07 - mmengine - INFO - Epoch(train) [9][1600/3757] lr: 1.000e-02 eta: 1 day, 1:06:19 time: 0.510 data_time: 0.013 memory: 5150 grad_norm: 5.9190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2935 loss: 2.2935 2022/06/27 20:37:12 - mmengine - INFO - Epoch(train) [9][1620/3757] lr: 1.000e-02 eta: 1 day, 1:06:17 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 6.0306 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2817 loss: 2.2817 2022/06/27 20:37:18 - mmengine - INFO - Epoch(train) [9][1640/3757] lr: 1.000e-02 eta: 1 day, 1:06:11 time: 0.421 data_time: 0.007 memory: 5150 grad_norm: 6.3060 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2721 loss: 2.2721 2022/06/27 20:37:23 - mmengine - INFO - Epoch(train) [9][1660/3757] lr: 1.000e-02 eta: 1 day, 1:06:11 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.9789 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1955 loss: 2.1955 2022/06/27 20:37:28 - mmengine - INFO - Epoch(train) [9][1680/3757] lr: 1.000e-02 eta: 1 day, 1:06:01 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.0332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4692 loss: 2.4692 2022/06/27 20:37:33 - mmengine - INFO - Epoch(train) [9][1700/3757] lr: 1.000e-02 eta: 1 day, 1:05:54 time: 0.359 data_time: 0.024 memory: 5150 grad_norm: 6.3766 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1492 loss: 2.1492 2022/06/27 20:37:38 - mmengine - INFO - Epoch(train) [9][1720/3757] lr: 1.000e-02 eta: 1 day, 1:05:46 time: 0.192 data_time: 0.020 memory: 5150 grad_norm: 6.0081 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6075 loss: 2.6075 2022/06/27 20:37:44 - mmengine - INFO - Epoch(train) [9][1740/3757] lr: 1.000e-02 eta: 1 day, 1:05:47 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8472 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5933 loss: 2.5933 2022/06/27 20:37:49 - mmengine - INFO - Epoch(train) [9][1760/3757] lr: 1.000e-02 eta: 1 day, 1:05:41 time: 0.205 data_time: 0.028 memory: 5150 grad_norm: 5.9892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4672 loss: 2.4672 2022/06/27 20:37:55 - mmengine - INFO - Epoch(train) [9][1780/3757] lr: 1.000e-02 eta: 1 day, 1:05:37 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 5.3911 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/06/27 20:38:00 - mmengine - INFO - Epoch(train) [9][1800/3757] lr: 1.000e-02 eta: 1 day, 1:05:33 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.5534 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3006 loss: 2.3006 2022/06/27 20:38:06 - mmengine - INFO - Epoch(train) [9][1820/3757] lr: 1.000e-02 eta: 1 day, 1:05:30 time: 1.046 data_time: 0.872 memory: 5150 grad_norm: 5.3500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4908 loss: 2.4908 2022/06/27 20:38:11 - mmengine - INFO - Epoch(train) [9][1840/3757] lr: 1.000e-02 eta: 1 day, 1:05:28 time: 0.654 data_time: 0.007 memory: 5150 grad_norm: 5.4946 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4883 loss: 2.4883 2022/06/27 20:38:16 - mmengine - INFO - Epoch(train) [9][1860/3757] lr: 1.000e-02 eta: 1 day, 1:05:24 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.2629 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6671 loss: 2.6671 2022/06/27 20:38:22 - mmengine - INFO - Epoch(train) [9][1880/3757] lr: 1.000e-02 eta: 1 day, 1:05:24 time: 1.362 data_time: 0.818 memory: 5150 grad_norm: 5.1832 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1186 loss: 2.1186 2022/06/27 20:38:27 - mmengine - INFO - Epoch(train) [9][1900/3757] lr: 1.000e-02 eta: 1 day, 1:05:16 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.9812 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1050 loss: 2.1050 2022/06/27 20:38:33 - mmengine - INFO - Epoch(train) [9][1920/3757] lr: 1.000e-02 eta: 1 day, 1:05:19 time: 0.226 data_time: 0.006 memory: 5150 grad_norm: 6.1134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4986 loss: 2.4986 2022/06/27 20:38:38 - mmengine - INFO - Epoch(train) [9][1940/3757] lr: 1.000e-02 eta: 1 day, 1:05:06 time: 0.615 data_time: 0.019 memory: 5150 grad_norm: 5.2059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4584 loss: 2.4584 2022/06/27 20:38:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:38:43 - mmengine - INFO - Epoch(train) [9][1960/3757] lr: 1.000e-02 eta: 1 day, 1:04:58 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.0872 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6082 loss: 2.6082 2022/06/27 20:38:49 - mmengine - INFO - Epoch(train) [9][1980/3757] lr: 1.000e-02 eta: 1 day, 1:04:59 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 4.5482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7582 loss: 2.7582 2022/06/27 20:38:55 - mmengine - INFO - Epoch(train) [9][2000/3757] lr: 1.000e-02 eta: 1 day, 1:05:03 time: 0.218 data_time: 0.020 memory: 5150 grad_norm: 5.2025 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8149 loss: 2.8149 2022/06/27 20:38:59 - mmengine - INFO - Epoch(train) [9][2020/3757] lr: 1.000e-02 eta: 1 day, 1:04:44 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.3976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4777 loss: 2.4777 2022/06/27 20:39:04 - mmengine - INFO - Epoch(train) [9][2040/3757] lr: 1.000e-02 eta: 1 day, 1:04:39 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.4246 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4464 loss: 2.4464 2022/06/27 20:39:10 - mmengine - INFO - Epoch(train) [9][2060/3757] lr: 1.000e-02 eta: 1 day, 1:04:39 time: 0.850 data_time: 0.007 memory: 5150 grad_norm: 5.3374 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2114 loss: 2.2114 2022/06/27 20:39:15 - mmengine - INFO - Epoch(train) [9][2080/3757] lr: 1.000e-02 eta: 1 day, 1:04:29 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.8851 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8340 loss: 2.8340 2022/06/27 20:39:21 - mmengine - INFO - Epoch(train) [9][2100/3757] lr: 1.000e-02 eta: 1 day, 1:04:35 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.2054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2554 loss: 2.2554 2022/06/27 20:39:26 - mmengine - INFO - Epoch(train) [9][2120/3757] lr: 1.000e-02 eta: 1 day, 1:04:29 time: 1.000 data_time: 0.007 memory: 5150 grad_norm: 5.9232 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2410 loss: 2.2410 2022/06/27 20:39:30 - mmengine - INFO - Epoch(train) [9][2140/3757] lr: 1.000e-02 eta: 1 day, 1:04:13 time: 0.216 data_time: 0.024 memory: 5150 grad_norm: 6.0151 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3772 loss: 2.3772 2022/06/27 20:39:36 - mmengine - INFO - Epoch(train) [9][2160/3757] lr: 1.000e-02 eta: 1 day, 1:04:10 time: 0.297 data_time: 0.007 memory: 5150 grad_norm: 5.6126 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5460 loss: 2.5460 2022/06/27 20:39:41 - mmengine - INFO - Epoch(train) [9][2180/3757] lr: 1.000e-02 eta: 1 day, 1:04:09 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.5666 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4576 loss: 2.4576 2022/06/27 20:39:46 - mmengine - INFO - Epoch(train) [9][2200/3757] lr: 1.000e-02 eta: 1 day, 1:03:58 time: 0.288 data_time: 0.013 memory: 5150 grad_norm: 5.9596 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4021 loss: 2.4021 2022/06/27 20:39:52 - mmengine - INFO - Epoch(train) [9][2220/3757] lr: 1.000e-02 eta: 1 day, 1:03:56 time: 0.386 data_time: 0.013 memory: 5150 grad_norm: 5.6334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3822 loss: 2.3822 2022/06/27 20:39:57 - mmengine - INFO - Epoch(train) [9][2240/3757] lr: 1.000e-02 eta: 1 day, 1:03:56 time: 1.005 data_time: 0.014 memory: 5150 grad_norm: 4.9857 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 3.0447 loss: 3.0447 2022/06/27 20:40:02 - mmengine - INFO - Epoch(train) [9][2260/3757] lr: 1.000e-02 eta: 1 day, 1:03:48 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4180 loss: 2.4180 2022/06/27 20:40:08 - mmengine - INFO - Epoch(train) [9][2280/3757] lr: 1.000e-02 eta: 1 day, 1:03:46 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.9123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3516 loss: 2.3516 2022/06/27 20:40:14 - mmengine - INFO - Epoch(train) [9][2300/3757] lr: 1.000e-02 eta: 1 day, 1:03:46 time: 0.658 data_time: 0.016 memory: 5150 grad_norm: 5.6009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7211 loss: 2.7211 2022/06/27 20:40:19 - mmengine - INFO - Epoch(train) [9][2320/3757] lr: 1.000e-02 eta: 1 day, 1:03:38 time: 0.453 data_time: 0.016 memory: 5150 grad_norm: 5.6202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3684 loss: 2.3684 2022/06/27 20:40:24 - mmengine - INFO - Epoch(train) [9][2340/3757] lr: 1.000e-02 eta: 1 day, 1:03:35 time: 0.763 data_time: 0.006 memory: 5150 grad_norm: 5.4049 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6931 loss: 2.6931 2022/06/27 20:40:29 - mmengine - INFO - Epoch(train) [9][2360/3757] lr: 1.000e-02 eta: 1 day, 1:03:28 time: 0.679 data_time: 0.012 memory: 5150 grad_norm: 5.1968 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6231 loss: 2.6231 2022/06/27 20:40:34 - mmengine - INFO - Epoch(train) [9][2380/3757] lr: 1.000e-02 eta: 1 day, 1:03:20 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 6.1733 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3502 loss: 2.3502 2022/06/27 20:40:40 - mmengine - INFO - Epoch(train) [9][2400/3757] lr: 1.000e-02 eta: 1 day, 1:03:21 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1666 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7524 loss: 2.7524 2022/06/27 20:40:46 - mmengine - INFO - Epoch(train) [9][2420/3757] lr: 1.000e-02 eta: 1 day, 1:03:17 time: 1.115 data_time: 0.009 memory: 5150 grad_norm: 5.8496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6649 loss: 2.6649 2022/06/27 20:40:50 - mmengine - INFO - Epoch(train) [9][2440/3757] lr: 1.000e-02 eta: 1 day, 1:03:06 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.4818 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4250 loss: 2.4250 2022/06/27 20:40:56 - mmengine - INFO - Epoch(train) [9][2460/3757] lr: 1.000e-02 eta: 1 day, 1:03:05 time: 0.619 data_time: 0.017 memory: 5150 grad_norm: 5.0854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1593 loss: 2.1593 2022/06/27 20:41:01 - mmengine - INFO - Epoch(train) [9][2480/3757] lr: 1.000e-02 eta: 1 day, 1:02:59 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 5.3115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2765 loss: 2.2765 2022/06/27 20:41:06 - mmengine - INFO - Epoch(train) [9][2500/3757] lr: 1.000e-02 eta: 1 day, 1:02:54 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 4.9078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1908 loss: 2.1908 2022/06/27 20:41:12 - mmengine - INFO - Epoch(train) [9][2520/3757] lr: 1.000e-02 eta: 1 day, 1:02:51 time: 0.591 data_time: 0.010 memory: 5150 grad_norm: 5.7735 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3199 loss: 2.3199 2022/06/27 20:41:17 - mmengine - INFO - Epoch(train) [9][2540/3757] lr: 1.000e-02 eta: 1 day, 1:02:41 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.2691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0492 loss: 2.0492 2022/06/27 20:41:22 - mmengine - INFO - Epoch(train) [9][2560/3757] lr: 1.000e-02 eta: 1 day, 1:02:41 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 5.6725 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6077 loss: 2.6077 2022/06/27 20:41:28 - mmengine - INFO - Epoch(train) [9][2580/3757] lr: 1.000e-02 eta: 1 day, 1:02:41 time: 1.106 data_time: 0.020 memory: 5150 grad_norm: 5.1984 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2065 loss: 2.2065 2022/06/27 20:41:34 - mmengine - INFO - Epoch(train) [9][2600/3757] lr: 1.000e-02 eta: 1 day, 1:02:37 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.7585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3286 loss: 2.3286 2022/06/27 20:41:38 - mmengine - INFO - Epoch(train) [9][2620/3757] lr: 1.000e-02 eta: 1 day, 1:02:20 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.3949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6809 loss: 2.6809 2022/06/27 20:41:43 - mmengine - INFO - Epoch(train) [9][2640/3757] lr: 1.000e-02 eta: 1 day, 1:02:13 time: 0.688 data_time: 0.006 memory: 5150 grad_norm: 5.5168 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5742 loss: 2.5742 2022/06/27 20:41:48 - mmengine - INFO - Epoch(train) [9][2660/3757] lr: 1.000e-02 eta: 1 day, 1:02:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4418 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2859 loss: 2.2859 2022/06/27 20:41:53 - mmengine - INFO - Epoch(train) [9][2680/3757] lr: 1.000e-02 eta: 1 day, 1:02:04 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.2864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5139 loss: 2.5139 2022/06/27 20:41:59 - mmengine - INFO - Epoch(train) [9][2700/3757] lr: 1.000e-02 eta: 1 day, 1:01:59 time: 0.969 data_time: 0.010 memory: 5150 grad_norm: 5.5621 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5128 loss: 2.5128 2022/06/27 20:42:04 - mmengine - INFO - Epoch(train) [9][2720/3757] lr: 1.000e-02 eta: 1 day, 1:01:49 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.0445 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8015 loss: 2.8015 2022/06/27 20:42:09 - mmengine - INFO - Epoch(train) [9][2740/3757] lr: 1.000e-02 eta: 1 day, 1:01:47 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.5237 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3321 loss: 2.3321 2022/06/27 20:42:15 - mmengine - INFO - Epoch(train) [9][2760/3757] lr: 1.000e-02 eta: 1 day, 1:01:44 time: 0.431 data_time: 0.007 memory: 5150 grad_norm: 5.3974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1504 loss: 2.1504 2022/06/27 20:42:20 - mmengine - INFO - Epoch(train) [9][2780/3757] lr: 1.000e-02 eta: 1 day, 1:01:38 time: 0.218 data_time: 0.010 memory: 5150 grad_norm: 5.1916 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5988 loss: 2.5988 2022/06/27 20:42:25 - mmengine - INFO - Epoch(train) [9][2800/3757] lr: 1.000e-02 eta: 1 day, 1:01:33 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 6.3800 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5909 loss: 2.5909 2022/06/27 20:42:31 - mmengine - INFO - Epoch(train) [9][2820/3757] lr: 1.000e-02 eta: 1 day, 1:01:34 time: 0.855 data_time: 0.007 memory: 5150 grad_norm: 5.6159 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6253 loss: 2.6253 2022/06/27 20:42:36 - mmengine - INFO - Epoch(train) [9][2840/3757] lr: 1.000e-02 eta: 1 day, 1:01:27 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.0140 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5064 loss: 2.5064 2022/06/27 20:42:41 - mmengine - INFO - Epoch(train) [9][2860/3757] lr: 1.000e-02 eta: 1 day, 1:01:21 time: 0.330 data_time: 0.006 memory: 5150 grad_norm: 5.0376 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3706 loss: 2.3706 2022/06/27 20:42:47 - mmengine - INFO - Epoch(train) [9][2880/3757] lr: 1.000e-02 eta: 1 day, 1:01:18 time: 0.566 data_time: 0.011 memory: 5150 grad_norm: 4.8736 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1894 loss: 2.1894 2022/06/27 20:42:52 - mmengine - INFO - Epoch(train) [9][2900/3757] lr: 1.000e-02 eta: 1 day, 1:01:14 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.2550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2491 loss: 2.2491 2022/06/27 20:42:57 - mmengine - INFO - Epoch(train) [9][2920/3757] lr: 1.000e-02 eta: 1 day, 1:01:06 time: 0.246 data_time: 0.007 memory: 5150 grad_norm: 6.0107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3624 loss: 2.3624 2022/06/27 20:43:02 - mmengine - INFO - Epoch(train) [9][2940/3757] lr: 1.000e-02 eta: 1 day, 1:01:00 time: 0.226 data_time: 0.021 memory: 5150 grad_norm: 5.3974 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4146 loss: 2.4146 2022/06/27 20:43:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:43:07 - mmengine - INFO - Epoch(train) [9][2960/3757] lr: 1.000e-02 eta: 1 day, 1:00:54 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5650 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3008 loss: 2.3008 2022/06/27 20:43:13 - mmengine - INFO - Epoch(train) [9][2980/3757] lr: 1.000e-02 eta: 1 day, 1:00:52 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.9594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0471 loss: 2.0471 2022/06/27 20:43:18 - mmengine - INFO - Epoch(train) [9][3000/3757] lr: 1.000e-02 eta: 1 day, 1:00:48 time: 0.440 data_time: 0.010 memory: 5150 grad_norm: 4.4830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3742 loss: 2.3742 2022/06/27 20:43:23 - mmengine - INFO - Epoch(train) [9][3020/3757] lr: 1.000e-02 eta: 1 day, 1:00:38 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.6211 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6344 loss: 2.6344 2022/06/27 20:43:29 - mmengine - INFO - Epoch(train) [9][3040/3757] lr: 1.000e-02 eta: 1 day, 1:00:37 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.2971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1159 loss: 2.1159 2022/06/27 20:43:34 - mmengine - INFO - Epoch(train) [9][3060/3757] lr: 1.000e-02 eta: 1 day, 1:00:31 time: 0.431 data_time: 0.010 memory: 5150 grad_norm: 5.3214 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/06/27 20:43:39 - mmengine - INFO - Epoch(train) [9][3080/3757] lr: 1.000e-02 eta: 1 day, 1:00:26 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.5957 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6795 loss: 2.6795 2022/06/27 20:43:44 - mmengine - INFO - Epoch(train) [9][3100/3757] lr: 1.000e-02 eta: 1 day, 1:00:20 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 4.8475 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2228 loss: 2.2228 2022/06/27 20:43:50 - mmengine - INFO - Epoch(train) [9][3120/3757] lr: 1.000e-02 eta: 1 day, 1:00:18 time: 0.616 data_time: 0.009 memory: 5150 grad_norm: 5.4785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4290 loss: 2.4290 2022/06/27 20:43:56 - mmengine - INFO - Epoch(train) [9][3140/3757] lr: 1.000e-02 eta: 1 day, 1:00:18 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.5060 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1789 loss: 2.1789 2022/06/27 20:44:00 - mmengine - INFO - Epoch(train) [9][3160/3757] lr: 1.000e-02 eta: 1 day, 1:00:04 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5829 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.7774 loss: 2.7774 2022/06/27 20:44:05 - mmengine - INFO - Epoch(train) [9][3180/3757] lr: 1.000e-02 eta: 1 day, 0:59:57 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.1952 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5157 loss: 2.5157 2022/06/27 20:44:11 - mmengine - INFO - Epoch(train) [9][3200/3757] lr: 1.000e-02 eta: 1 day, 0:59:55 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3360 loss: 2.3360 2022/06/27 20:44:16 - mmengine - INFO - Epoch(train) [9][3220/3757] lr: 1.000e-02 eta: 1 day, 0:59:50 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4578 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6582 loss: 2.6582 2022/06/27 20:44:22 - mmengine - INFO - Epoch(train) [9][3240/3757] lr: 1.000e-02 eta: 1 day, 0:59:52 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.2100 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6652 loss: 2.6652 2022/06/27 20:44:27 - mmengine - INFO - Epoch(train) [9][3260/3757] lr: 1.000e-02 eta: 1 day, 0:59:39 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 6.0057 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0618 loss: 2.0618 2022/06/27 20:44:32 - mmengine - INFO - Epoch(train) [9][3280/3757] lr: 1.000e-02 eta: 1 day, 0:59:34 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.2039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4188 loss: 2.4188 2022/06/27 20:44:37 - mmengine - INFO - Epoch(train) [9][3300/3757] lr: 1.000e-02 eta: 1 day, 0:59:27 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 6.3661 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9748 loss: 2.9748 2022/06/27 20:44:43 - mmengine - INFO - Epoch(train) [9][3320/3757] lr: 1.000e-02 eta: 1 day, 0:59:25 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.2096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4823 loss: 2.4823 2022/06/27 20:44:47 - mmengine - INFO - Epoch(train) [9][3340/3757] lr: 1.000e-02 eta: 1 day, 0:59:14 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 4.8854 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7247 loss: 2.7247 2022/06/27 20:44:54 - mmengine - INFO - Epoch(train) [9][3360/3757] lr: 1.000e-02 eta: 1 day, 0:59:19 time: 0.208 data_time: 0.024 memory: 5150 grad_norm: 5.9710 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5187 loss: 2.5187 2022/06/27 20:44:58 - mmengine - INFO - Epoch(train) [9][3380/3757] lr: 1.000e-02 eta: 1 day, 0:59:08 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 4.9772 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3821 loss: 2.3821 2022/06/27 20:45:03 - mmengine - INFO - Epoch(train) [9][3400/3757] lr: 1.000e-02 eta: 1 day, 0:59:00 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.8000 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4947 loss: 2.4947 2022/06/27 20:45:09 - mmengine - INFO - Epoch(train) [9][3420/3757] lr: 1.000e-02 eta: 1 day, 0:58:54 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 5.1653 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4679 loss: 2.4679 2022/06/27 20:45:14 - mmengine - INFO - Epoch(train) [9][3440/3757] lr: 1.000e-02 eta: 1 day, 0:58:54 time: 0.228 data_time: 0.006 memory: 5150 grad_norm: 5.0301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2851 loss: 2.2851 2022/06/27 20:45:19 - mmengine - INFO - Epoch(train) [9][3460/3757] lr: 1.000e-02 eta: 1 day, 0:58:44 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0407 loss: 2.0407 2022/06/27 20:45:25 - mmengine - INFO - Epoch(train) [9][3480/3757] lr: 1.000e-02 eta: 1 day, 0:58:42 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 6.3502 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7691 loss: 2.7691 2022/06/27 20:45:30 - mmengine - INFO - Epoch(train) [9][3500/3757] lr: 1.000e-02 eta: 1 day, 0:58:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4508 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6815 loss: 2.6815 2022/06/27 20:45:35 - mmengine - INFO - Epoch(train) [9][3520/3757] lr: 1.000e-02 eta: 1 day, 0:58:29 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.8232 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2465 loss: 2.2465 2022/06/27 20:45:40 - mmengine - INFO - Epoch(train) [9][3540/3757] lr: 1.000e-02 eta: 1 day, 0:58:26 time: 0.419 data_time: 0.018 memory: 5150 grad_norm: 4.9970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3513 loss: 2.3513 2022/06/27 20:45:46 - mmengine - INFO - Epoch(train) [9][3560/3757] lr: 1.000e-02 eta: 1 day, 0:58:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7783 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5006 loss: 2.5006 2022/06/27 20:45:51 - mmengine - INFO - Epoch(train) [9][3580/3757] lr: 1.000e-02 eta: 1 day, 0:58:18 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.9335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6902 loss: 2.6902 2022/06/27 20:45:56 - mmengine - INFO - Epoch(train) [9][3600/3757] lr: 1.000e-02 eta: 1 day, 0:58:12 time: 0.880 data_time: 0.022 memory: 5150 grad_norm: 5.0791 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6333 loss: 2.6333 2022/06/27 20:46:01 - mmengine - INFO - Epoch(train) [9][3620/3757] lr: 1.000e-02 eta: 1 day, 0:58:03 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 5.6530 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.5708 loss: 2.5708 2022/06/27 20:46:07 - mmengine - INFO - Epoch(train) [9][3640/3757] lr: 1.000e-02 eta: 1 day, 0:58:00 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.3959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5447 loss: 2.5447 2022/06/27 20:46:12 - mmengine - INFO - Epoch(train) [9][3660/3757] lr: 1.000e-02 eta: 1 day, 0:57:59 time: 1.271 data_time: 0.026 memory: 5150 grad_norm: 5.3225 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6501 loss: 2.6501 2022/06/27 20:46:17 - mmengine - INFO - Epoch(train) [9][3680/3757] lr: 1.000e-02 eta: 1 day, 0:57:45 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.0810 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0794 loss: 2.0794 2022/06/27 20:46:23 - mmengine - INFO - Epoch(train) [9][3700/3757] lr: 1.000e-02 eta: 1 day, 0:57:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.2168 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5339 loss: 2.5339 2022/06/27 20:46:28 - mmengine - INFO - Epoch(train) [9][3720/3757] lr: 1.000e-02 eta: 1 day, 0:57:37 time: 0.421 data_time: 0.010 memory: 5150 grad_norm: 5.7780 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6802 loss: 2.6802 2022/06/27 20:46:33 - mmengine - INFO - Epoch(train) [9][3740/3757] lr: 1.000e-02 eta: 1 day, 0:57:32 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.7180 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2733 loss: 2.2733 2022/06/27 20:46:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:47:09 - mmengine - INFO - Epoch(val) [9][20/310] eta: 0:05:40 time: 1.059 data_time: 0.418 memory: 9746 2022/06/27 20:47:31 - mmengine - INFO - Epoch(val) [9][40/310] eta: 0:04:56 time: 1.009 data_time: 0.363 memory: 9746 2022/06/27 20:47:56 - mmengine - INFO - Epoch(val) [9][60/310] eta: 0:04:38 time: 1.112 data_time: 0.468 memory: 9746 2022/06/27 20:48:18 - mmengine - INFO - Epoch(val) [9][80/310] eta: 0:04:19 time: 0.968 data_time: 0.316 memory: 9746 2022/06/27 20:48:42 - mmengine - INFO - Epoch(val) [9][100/310] eta: 0:04:10 time: 2.721 data_time: 1.968 memory: 9746 2022/06/27 20:49:03 - mmengine - INFO - Epoch(val) [9][120/310] eta: 0:03:20 time: 1.007 data_time: 0.347 memory: 9746 2022/06/27 20:49:27 - mmengine - INFO - Epoch(val) [9][140/310] eta: 0:03:12 time: 1.098 data_time: 0.458 memory: 9746 2022/06/27 20:49:53 - mmengine - INFO - Epoch(val) [9][160/310] eta: 0:03:22 time: 3.956 data_time: 3.294 memory: 9746 2022/06/27 20:50:16 - mmengine - INFO - Epoch(val) [9][180/310] eta: 0:02:53 time: 1.103 data_time: 0.453 memory: 9746 2022/06/27 20:50:37 - mmengine - INFO - Epoch(val) [9][200/310] eta: 0:01:55 time: 1.110 data_time: 0.455 memory: 9746 2022/06/27 20:50:59 - mmengine - INFO - Epoch(val) [9][220/310] eta: 0:01:35 time: 1.114 data_time: 0.473 memory: 9746 2022/06/27 20:51:20 - mmengine - INFO - Epoch(val) [9][240/310] eta: 0:01:14 time: 1.015 data_time: 0.375 memory: 9746 2022/06/27 20:51:44 - mmengine - INFO - Epoch(val) [9][260/310] eta: 0:01:03 time: 1.087 data_time: 0.441 memory: 9746 2022/06/27 20:52:06 - mmengine - INFO - Epoch(val) [9][280/310] eta: 0:00:34 time: 1.955 data_time: 1.303 memory: 9746 2022/06/27 20:52:26 - mmengine - INFO - Epoch(val) [9][300/310] eta: 0:00:08 time: 0.683 data_time: 0.102 memory: 9746 2022/06/27 20:52:38 - mmengine - INFO - Epoch(val) [9][310/310] acc/top1: 0.5332 acc/top5: 0.7885 acc/mean1: 0.5332 2022/06/27 20:52:47 - mmengine - INFO - Epoch(train) [10][20/3757] lr: 1.000e-02 eta: 1 day, 0:57:30 time: 0.192 data_time: 0.008 memory: 9746 grad_norm: 5.4897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5713 loss: 2.5713 2022/06/27 20:52:53 - mmengine - INFO - Epoch(train) [10][40/3757] lr: 1.000e-02 eta: 1 day, 0:57:34 time: 0.267 data_time: 0.008 memory: 5150 grad_norm: 5.7508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3090 loss: 2.3090 2022/06/27 20:52:57 - mmengine - INFO - Epoch(train) [10][60/3757] lr: 1.000e-02 eta: 1 day, 0:57:22 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 4.8471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5567 loss: 2.5567 2022/06/27 20:53:03 - mmengine - INFO - Epoch(train) [10][80/3757] lr: 1.000e-02 eta: 1 day, 0:57:18 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4089 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5256 loss: 2.5256 2022/06/27 20:53:08 - mmengine - INFO - Epoch(train) [10][100/3757] lr: 1.000e-02 eta: 1 day, 0:57:15 time: 0.206 data_time: 0.018 memory: 5150 grad_norm: 5.4862 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5244 loss: 2.5244 2022/06/27 20:53:14 - mmengine - INFO - Epoch(train) [10][120/3757] lr: 1.000e-02 eta: 1 day, 0:57:09 time: 0.189 data_time: 0.013 memory: 5150 grad_norm: 5.3138 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3574 loss: 2.3574 2022/06/27 20:53:19 - mmengine - INFO - Epoch(train) [10][140/3757] lr: 1.000e-02 eta: 1 day, 0:57:11 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.6848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6031 loss: 2.6031 2022/06/27 20:53:25 - mmengine - INFO - Epoch(train) [10][160/3757] lr: 1.000e-02 eta: 1 day, 0:57:07 time: 0.633 data_time: 0.464 memory: 5150 grad_norm: 5.6439 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2604 loss: 2.2604 2022/06/27 20:53:29 - mmengine - INFO - Epoch(train) [10][180/3757] lr: 1.000e-02 eta: 1 day, 0:56:54 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.6490 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1942 loss: 2.1942 2022/06/27 20:53:31 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:53:35 - mmengine - INFO - Epoch(train) [10][200/3757] lr: 1.000e-02 eta: 1 day, 0:56:56 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.2919 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0267 loss: 2.0267 2022/06/27 20:53:41 - mmengine - INFO - Epoch(train) [10][220/3757] lr: 1.000e-02 eta: 1 day, 0:56:56 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3845 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2441 loss: 2.2441 2022/06/27 20:53:46 - mmengine - INFO - Epoch(train) [10][240/3757] lr: 1.000e-02 eta: 1 day, 0:56:45 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0612 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.6111 loss: 2.6111 2022/06/27 20:53:51 - mmengine - INFO - Epoch(train) [10][260/3757] lr: 1.000e-02 eta: 1 day, 0:56:42 time: 0.191 data_time: 0.019 memory: 5150 grad_norm: 5.2706 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1733 loss: 2.1733 2022/06/27 20:53:57 - mmengine - INFO - Epoch(train) [10][280/3757] lr: 1.000e-02 eta: 1 day, 0:56:43 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0341 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3766 loss: 2.3766 2022/06/27 20:54:02 - mmengine - INFO - Epoch(train) [10][300/3757] lr: 1.000e-02 eta: 1 day, 0:56:36 time: 0.338 data_time: 0.007 memory: 5150 grad_norm: 4.8908 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2967 loss: 2.2967 2022/06/27 20:54:08 - mmengine - INFO - Epoch(train) [10][320/3757] lr: 1.000e-02 eta: 1 day, 0:56:35 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.3476 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4797 loss: 2.4797 2022/06/27 20:54:14 - mmengine - INFO - Epoch(train) [10][340/3757] lr: 1.000e-02 eta: 1 day, 0:56:34 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0678 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2090 loss: 2.2090 2022/06/27 20:54:18 - mmengine - INFO - Epoch(train) [10][360/3757] lr: 1.000e-02 eta: 1 day, 0:56:20 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.4899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3415 loss: 2.3415 2022/06/27 20:54:24 - mmengine - INFO - Epoch(train) [10][380/3757] lr: 1.000e-02 eta: 1 day, 0:56:26 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 4.4384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3525 loss: 2.3525 2022/06/27 20:54:29 - mmengine - INFO - Epoch(train) [10][400/3757] lr: 1.000e-02 eta: 1 day, 0:56:14 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.6746 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2322 loss: 2.2322 2022/06/27 20:54:34 - mmengine - INFO - Epoch(train) [10][420/3757] lr: 1.000e-02 eta: 1 day, 0:56:07 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.8498 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1906 loss: 2.1906 2022/06/27 20:54:39 - mmengine - INFO - Epoch(train) [10][440/3757] lr: 1.000e-02 eta: 1 day, 0:56:03 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 5.3295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2325 loss: 2.2325 2022/06/27 20:54:45 - mmengine - INFO - Epoch(train) [10][460/3757] lr: 1.000e-02 eta: 1 day, 0:56:05 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4876 loss: 2.4876 2022/06/27 20:54:50 - mmengine - INFO - Epoch(train) [10][480/3757] lr: 1.000e-02 eta: 1 day, 0:55:54 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.7243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2321 loss: 2.2321 2022/06/27 20:54:56 - mmengine - INFO - Epoch(train) [10][500/3757] lr: 1.000e-02 eta: 1 day, 0:55:54 time: 0.251 data_time: 0.006 memory: 5150 grad_norm: 5.5240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5981 loss: 2.5981 2022/06/27 20:55:01 - mmengine - INFO - Epoch(train) [10][520/3757] lr: 1.000e-02 eta: 1 day, 0:55:49 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.9164 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8438 loss: 1.8438 2022/06/27 20:55:06 - mmengine - INFO - Epoch(train) [10][540/3757] lr: 1.000e-02 eta: 1 day, 0:55:41 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5092 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4116 loss: 2.4116 2022/06/27 20:55:12 - mmengine - INFO - Epoch(train) [10][560/3757] lr: 1.000e-02 eta: 1 day, 0:55:39 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.8429 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2957 loss: 2.2957 2022/06/27 20:55:17 - mmengine - INFO - Epoch(train) [10][580/3757] lr: 1.000e-02 eta: 1 day, 0:55:34 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1625 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3282 loss: 2.3282 2022/06/27 20:55:22 - mmengine - INFO - Epoch(train) [10][600/3757] lr: 1.000e-02 eta: 1 day, 0:55:24 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2179 loss: 2.2179 2022/06/27 20:55:27 - mmengine - INFO - Epoch(train) [10][620/3757] lr: 1.000e-02 eta: 1 day, 0:55:22 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.3313 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3270 loss: 2.3270 2022/06/27 20:55:33 - mmengine - INFO - Epoch(train) [10][640/3757] lr: 1.000e-02 eta: 1 day, 0:55:21 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.0170 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6525 loss: 2.6525 2022/06/27 20:55:38 - mmengine - INFO - Epoch(train) [10][660/3757] lr: 1.000e-02 eta: 1 day, 0:55:10 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 4.9338 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2482 loss: 2.2482 2022/06/27 20:55:44 - mmengine - INFO - Epoch(train) [10][680/3757] lr: 1.000e-02 eta: 1 day, 0:55:14 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.4778 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0161 loss: 2.0161 2022/06/27 20:55:50 - mmengine - INFO - Epoch(train) [10][700/3757] lr: 1.000e-02 eta: 1 day, 0:55:13 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 5.0177 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8925 loss: 1.8925 2022/06/27 20:55:55 - mmengine - INFO - Epoch(train) [10][720/3757] lr: 1.000e-02 eta: 1 day, 0:55:08 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 5.6046 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4538 loss: 2.4538 2022/06/27 20:56:00 - mmengine - INFO - Epoch(train) [10][740/3757] lr: 1.000e-02 eta: 1 day, 0:55:00 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.4539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2905 loss: 2.2905 2022/06/27 20:56:05 - mmengine - INFO - Epoch(train) [10][760/3757] lr: 1.000e-02 eta: 1 day, 0:54:54 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.3418 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3976 loss: 2.3976 2022/06/27 20:56:10 - mmengine - INFO - Epoch(train) [10][780/3757] lr: 1.000e-02 eta: 1 day, 0:54:42 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.4458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1786 loss: 2.1786 2022/06/27 20:56:15 - mmengine - INFO - Epoch(train) [10][800/3757] lr: 1.000e-02 eta: 1 day, 0:54:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1779 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2288 loss: 2.2288 2022/06/27 20:56:21 - mmengine - INFO - Epoch(train) [10][820/3757] lr: 1.000e-02 eta: 1 day, 0:54:38 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.7636 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3749 loss: 2.3749 2022/06/27 20:56:26 - mmengine - INFO - Epoch(train) [10][840/3757] lr: 1.000e-02 eta: 1 day, 0:54:29 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.6896 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.6137 loss: 2.6137 2022/06/27 20:56:31 - mmengine - INFO - Epoch(train) [10][860/3757] lr: 1.000e-02 eta: 1 day, 0:54:24 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5710 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6575 loss: 2.6575 2022/06/27 20:56:37 - mmengine - INFO - Epoch(train) [10][880/3757] lr: 1.000e-02 eta: 1 day, 0:54:25 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.4376 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5201 loss: 2.5201 2022/06/27 20:56:42 - mmengine - INFO - Epoch(train) [10][900/3757] lr: 1.000e-02 eta: 1 day, 0:54:15 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.8510 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7170 loss: 2.7170 2022/06/27 20:56:48 - mmengine - INFO - Epoch(train) [10][920/3757] lr: 1.000e-02 eta: 1 day, 0:54:15 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7508 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1789 loss: 2.1789 2022/06/27 20:56:53 - mmengine - INFO - Epoch(train) [10][940/3757] lr: 1.000e-02 eta: 1 day, 0:54:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4640 loss: 2.4640 2022/06/27 20:56:58 - mmengine - INFO - Epoch(train) [10][960/3757] lr: 1.000e-02 eta: 1 day, 0:53:59 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 5.7140 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4059 loss: 2.4059 2022/06/27 20:57:04 - mmengine - INFO - Epoch(train) [10][980/3757] lr: 1.000e-02 eta: 1 day, 0:54:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0913 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4083 loss: 2.4083 2022/06/27 20:57:09 - mmengine - INFO - Epoch(train) [10][1000/3757] lr: 1.000e-02 eta: 1 day, 0:53:59 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.9623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0808 loss: 2.0808 2022/06/27 20:57:14 - mmengine - INFO - Epoch(train) [10][1020/3757] lr: 1.000e-02 eta: 1 day, 0:53:53 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.2441 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.5489 loss: 2.5489 2022/06/27 20:57:19 - mmengine - INFO - Epoch(train) [10][1040/3757] lr: 1.000e-02 eta: 1 day, 0:53:45 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.3042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4133 loss: 2.4133 2022/06/27 20:57:25 - mmengine - INFO - Epoch(train) [10][1060/3757] lr: 1.000e-02 eta: 1 day, 0:53:45 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.0772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5924 loss: 2.5924 2022/06/27 20:57:30 - mmengine - INFO - Epoch(train) [10][1080/3757] lr: 1.000e-02 eta: 1 day, 0:53:37 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.0136 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2527 loss: 2.2527 2022/06/27 20:57:35 - mmengine - INFO - Epoch(train) [10][1100/3757] lr: 1.000e-02 eta: 1 day, 0:53:33 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4169 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2329 loss: 2.2329 2022/06/27 20:57:41 - mmengine - INFO - Epoch(train) [10][1120/3757] lr: 1.000e-02 eta: 1 day, 0:53:35 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.8733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3172 loss: 2.3172 2022/06/27 20:57:46 - mmengine - INFO - Epoch(train) [10][1140/3757] lr: 1.000e-02 eta: 1 day, 0:53:25 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.2085 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5808 loss: 2.5808 2022/06/27 20:57:52 - mmengine - INFO - Epoch(train) [10][1160/3757] lr: 1.000e-02 eta: 1 day, 0:53:23 time: 0.190 data_time: 0.006 memory: 5150 grad_norm: 5.3737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4657 loss: 2.4657 2022/06/27 20:57:57 - mmengine - INFO - Epoch(train) [10][1180/3757] lr: 1.000e-02 eta: 1 day, 0:53:18 time: 0.219 data_time: 0.006 memory: 5150 grad_norm: 5.1718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7879 loss: 2.7879 2022/06/27 20:57:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 20:58:02 - mmengine - INFO - Epoch(train) [10][1200/3757] lr: 1.000e-02 eta: 1 day, 0:53:05 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.3399 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8965 loss: 1.8965 2022/06/27 20:58:07 - mmengine - INFO - Epoch(train) [10][1220/3757] lr: 1.000e-02 eta: 1 day, 0:53:04 time: 0.199 data_time: 0.025 memory: 5150 grad_norm: 5.4421 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.8510 loss: 2.8510 2022/06/27 20:58:13 - mmengine - INFO - Epoch(train) [10][1240/3757] lr: 1.000e-02 eta: 1 day, 0:53:00 time: 0.299 data_time: 0.006 memory: 5150 grad_norm: 6.1285 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3220 loss: 2.3220 2022/06/27 20:58:17 - mmengine - INFO - Epoch(train) [10][1260/3757] lr: 1.000e-02 eta: 1 day, 0:52:45 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.7907 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6035 loss: 2.6035 2022/06/27 20:58:22 - mmengine - INFO - Epoch(train) [10][1280/3757] lr: 1.000e-02 eta: 1 day, 0:52:37 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 5.1786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6597 loss: 2.6597 2022/06/27 20:58:27 - mmengine - INFO - Epoch(train) [10][1300/3757] lr: 1.000e-02 eta: 1 day, 0:52:32 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.2616 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5443 loss: 2.5443 2022/06/27 20:58:32 - mmengine - INFO - Epoch(train) [10][1320/3757] lr: 1.000e-02 eta: 1 day, 0:52:25 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.6005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6446 loss: 2.6446 2022/06/27 20:58:38 - mmengine - INFO - Epoch(train) [10][1340/3757] lr: 1.000e-02 eta: 1 day, 0:52:22 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 5.5476 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3602 loss: 2.3602 2022/06/27 20:58:44 - mmengine - INFO - Epoch(train) [10][1360/3757] lr: 1.000e-02 eta: 1 day, 0:52:25 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.3021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1267 loss: 2.1267 2022/06/27 20:58:48 - mmengine - INFO - Epoch(train) [10][1380/3757] lr: 1.000e-02 eta: 1 day, 0:52:11 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7865 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.1051 loss: 3.1051 2022/06/27 20:58:54 - mmengine - INFO - Epoch(train) [10][1400/3757] lr: 1.000e-02 eta: 1 day, 0:52:09 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 4.8407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2387 loss: 2.2387 2022/06/27 20:59:00 - mmengine - INFO - Epoch(train) [10][1420/3757] lr: 1.000e-02 eta: 1 day, 0:52:08 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1081 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9499 loss: 1.9499 2022/06/27 20:59:05 - mmengine - INFO - Epoch(train) [10][1440/3757] lr: 1.000e-02 eta: 1 day, 0:52:07 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 4.9951 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5922 loss: 2.5922 2022/06/27 20:59:10 - mmengine - INFO - Epoch(train) [10][1460/3757] lr: 1.000e-02 eta: 1 day, 0:51:54 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.6529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2588 loss: 2.2588 2022/06/27 20:59:15 - mmengine - INFO - Epoch(train) [10][1480/3757] lr: 1.000e-02 eta: 1 day, 0:51:52 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.0792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4825 loss: 2.4825 2022/06/27 20:59:20 - mmengine - INFO - Epoch(train) [10][1500/3757] lr: 1.000e-02 eta: 1 day, 0:51:42 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8754 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1526 loss: 2.1526 2022/06/27 20:59:26 - mmengine - INFO - Epoch(train) [10][1520/3757] lr: 1.000e-02 eta: 1 day, 0:51:38 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.0186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1706 loss: 2.1706 2022/06/27 20:59:31 - mmengine - INFO - Epoch(train) [10][1540/3757] lr: 1.000e-02 eta: 1 day, 0:51:34 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.3282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3770 loss: 2.3770 2022/06/27 20:59:36 - mmengine - INFO - Epoch(train) [10][1560/3757] lr: 1.000e-02 eta: 1 day, 0:51:24 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.9332 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1929 loss: 2.1929 2022/06/27 20:59:41 - mmengine - INFO - Epoch(train) [10][1580/3757] lr: 1.000e-02 eta: 1 day, 0:51:21 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.7938 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/06/27 20:59:47 - mmengine - INFO - Epoch(train) [10][1600/3757] lr: 1.000e-02 eta: 1 day, 0:51:21 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 5.2222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5093 loss: 2.5093 2022/06/27 20:59:52 - mmengine - INFO - Epoch(train) [10][1620/3757] lr: 1.000e-02 eta: 1 day, 0:51:12 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.4009 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5138 loss: 2.5138 2022/06/27 20:59:57 - mmengine - INFO - Epoch(train) [10][1640/3757] lr: 1.000e-02 eta: 1 day, 0:51:06 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.9010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1972 loss: 2.1972 2022/06/27 21:00:03 - mmengine - INFO - Epoch(train) [10][1660/3757] lr: 1.000e-02 eta: 1 day, 0:51:09 time: 0.224 data_time: 0.038 memory: 5150 grad_norm: 5.7427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0376 loss: 2.0376 2022/06/27 21:00:08 - mmengine - INFO - Epoch(train) [10][1680/3757] lr: 1.000e-02 eta: 1 day, 0:50:59 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 5.6785 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2139 loss: 2.2139 2022/06/27 21:00:14 - mmengine - INFO - Epoch(train) [10][1700/3757] lr: 1.000e-02 eta: 1 day, 0:50:58 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.8273 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3613 loss: 2.3613 2022/06/27 21:00:19 - mmengine - INFO - Epoch(train) [10][1720/3757] lr: 1.000e-02 eta: 1 day, 0:50:51 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 5.1499 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2237 loss: 2.2237 2022/06/27 21:00:24 - mmengine - INFO - Epoch(train) [10][1740/3757] lr: 1.000e-02 eta: 1 day, 0:50:49 time: 0.199 data_time: 0.024 memory: 5150 grad_norm: 5.4929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4089 loss: 2.4089 2022/06/27 21:00:30 - mmengine - INFO - Epoch(train) [10][1760/3757] lr: 1.000e-02 eta: 1 day, 0:50:43 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 5.8693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4930 loss: 2.4930 2022/06/27 21:00:35 - mmengine - INFO - Epoch(train) [10][1780/3757] lr: 1.000e-02 eta: 1 day, 0:50:41 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 5.3039 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5414 loss: 2.5414 2022/06/27 21:00:40 - mmengine - INFO - Epoch(train) [10][1800/3757] lr: 1.000e-02 eta: 1 day, 0:50:31 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 5.9216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1745 loss: 2.1745 2022/06/27 21:00:45 - mmengine - INFO - Epoch(train) [10][1820/3757] lr: 1.000e-02 eta: 1 day, 0:50:28 time: 0.202 data_time: 0.028 memory: 5150 grad_norm: 5.1774 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2370 loss: 2.2370 2022/06/27 21:00:50 - mmengine - INFO - Epoch(train) [10][1840/3757] lr: 1.000e-02 eta: 1 day, 0:50:21 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7581 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1060 loss: 2.1060 2022/06/27 21:00:56 - mmengine - INFO - Epoch(train) [10][1860/3757] lr: 1.000e-02 eta: 1 day, 0:50:20 time: 0.213 data_time: 0.026 memory: 5150 grad_norm: 5.2438 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2730 loss: 2.2730 2022/06/27 21:01:01 - mmengine - INFO - Epoch(train) [10][1880/3757] lr: 1.000e-02 eta: 1 day, 0:50:13 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 6.7393 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5351 loss: 2.5351 2022/06/27 21:01:07 - mmengine - INFO - Epoch(train) [10][1900/3757] lr: 1.000e-02 eta: 1 day, 0:50:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.7641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8069 loss: 2.8069 2022/06/27 21:01:12 - mmengine - INFO - Epoch(train) [10][1920/3757] lr: 1.000e-02 eta: 1 day, 0:50:06 time: 0.214 data_time: 0.013 memory: 5150 grad_norm: 5.5236 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4213 loss: 2.4213 2022/06/27 21:01:17 - mmengine - INFO - Epoch(train) [10][1940/3757] lr: 1.000e-02 eta: 1 day, 0:49:57 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 6.6018 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6562 loss: 2.6562 2022/06/27 21:01:22 - mmengine - INFO - Epoch(train) [10][1960/3757] lr: 1.000e-02 eta: 1 day, 0:49:53 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 4.8003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5570 loss: 2.5570 2022/06/27 21:01:28 - mmengine - INFO - Epoch(train) [10][1980/3757] lr: 1.000e-02 eta: 1 day, 0:49:50 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 5.4497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2802 loss: 2.2802 2022/06/27 21:01:33 - mmengine - INFO - Epoch(train) [10][2000/3757] lr: 1.000e-02 eta: 1 day, 0:49:39 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.4179 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/06/27 21:01:38 - mmengine - INFO - Epoch(train) [10][2020/3757] lr: 1.000e-02 eta: 1 day, 0:49:36 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.7364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2127 loss: 2.2127 2022/06/27 21:01:43 - mmengine - INFO - Epoch(train) [10][2040/3757] lr: 1.000e-02 eta: 1 day, 0:49:31 time: 0.322 data_time: 0.007 memory: 5150 grad_norm: 5.1240 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.8655 loss: 2.8655 2022/06/27 21:01:49 - mmengine - INFO - Epoch(train) [10][2060/3757] lr: 1.000e-02 eta: 1 day, 0:49:26 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8362 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4131 loss: 2.4131 2022/06/27 21:01:54 - mmengine - INFO - Epoch(train) [10][2080/3757] lr: 1.000e-02 eta: 1 day, 0:49:26 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.3934 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6759 loss: 2.6759 2022/06/27 21:01:59 - mmengine - INFO - Epoch(train) [10][2100/3757] lr: 1.000e-02 eta: 1 day, 0:49:16 time: 0.248 data_time: 0.024 memory: 5150 grad_norm: 5.7772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5761 loss: 2.5761 2022/06/27 21:02:06 - mmengine - INFO - Epoch(train) [10][2120/3757] lr: 1.000e-02 eta: 1 day, 0:49:21 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.5158 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3445 loss: 2.3445 2022/06/27 21:02:10 - mmengine - INFO - Epoch(train) [10][2140/3757] lr: 1.000e-02 eta: 1 day, 0:49:04 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.3580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1389 loss: 2.1389 2022/06/27 21:02:14 - mmengine - INFO - Epoch(train) [10][2160/3757] lr: 1.000e-02 eta: 1 day, 0:48:50 time: 0.211 data_time: 0.017 memory: 5150 grad_norm: 5.1860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1247 loss: 2.1247 2022/06/27 21:02:19 - mmengine - INFO - Epoch(train) [10][2180/3757] lr: 1.000e-02 eta: 1 day, 0:48:47 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 6.2091 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.5903 loss: 2.5903 2022/06/27 21:02:22 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:02:25 - mmengine - INFO - Epoch(train) [10][2200/3757] lr: 1.000e-02 eta: 1 day, 0:48:46 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.5548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2214 loss: 2.2214 2022/06/27 21:02:30 - mmengine - INFO - Epoch(train) [10][2220/3757] lr: 1.000e-02 eta: 1 day, 0:48:36 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 6.0498 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5970 loss: 2.5970 2022/06/27 21:02:35 - mmengine - INFO - Epoch(train) [10][2240/3757] lr: 1.000e-02 eta: 1 day, 0:48:33 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.2700 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3522 loss: 2.3522 2022/06/27 21:02:40 - mmengine - INFO - Epoch(train) [10][2260/3757] lr: 1.000e-02 eta: 1 day, 0:48:22 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.4399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4941 loss: 2.4941 2022/06/27 21:02:46 - mmengine - INFO - Epoch(train) [10][2280/3757] lr: 1.000e-02 eta: 1 day, 0:48:18 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 4.8997 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2474 loss: 2.2474 2022/06/27 21:02:51 - mmengine - INFO - Epoch(train) [10][2300/3757] lr: 1.000e-02 eta: 1 day, 0:48:14 time: 0.504 data_time: 0.010 memory: 5150 grad_norm: 6.1512 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.5672 loss: 2.5672 2022/06/27 21:02:56 - mmengine - INFO - Epoch(train) [10][2320/3757] lr: 1.000e-02 eta: 1 day, 0:48:11 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.1838 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3447 loss: 2.3447 2022/06/27 21:03:02 - mmengine - INFO - Epoch(train) [10][2340/3757] lr: 1.000e-02 eta: 1 day, 0:48:06 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5546 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2829 loss: 2.2829 2022/06/27 21:03:07 - mmengine - INFO - Epoch(train) [10][2360/3757] lr: 1.000e-02 eta: 1 day, 0:48:01 time: 0.308 data_time: 0.007 memory: 5150 grad_norm: 6.0904 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2275 loss: 2.2275 2022/06/27 21:03:12 - mmengine - INFO - Epoch(train) [10][2380/3757] lr: 1.000e-02 eta: 1 day, 0:47:58 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 5.6618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2727 loss: 2.2727 2022/06/27 21:03:18 - mmengine - INFO - Epoch(train) [10][2400/3757] lr: 1.000e-02 eta: 1 day, 0:47:57 time: 0.251 data_time: 0.012 memory: 5150 grad_norm: 5.4436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6925 loss: 2.6925 2022/06/27 21:03:23 - mmengine - INFO - Epoch(train) [10][2420/3757] lr: 1.000e-02 eta: 1 day, 0:47:52 time: 0.390 data_time: 0.016 memory: 5150 grad_norm: 5.8842 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3943 loss: 2.3943 2022/06/27 21:03:29 - mmengine - INFO - Epoch(train) [10][2440/3757] lr: 1.000e-02 eta: 1 day, 0:47:51 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.7222 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6361 loss: 2.6361 2022/06/27 21:03:34 - mmengine - INFO - Epoch(train) [10][2460/3757] lr: 1.000e-02 eta: 1 day, 0:47:44 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 5.7178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2762 loss: 2.2762 2022/06/27 21:03:39 - mmengine - INFO - Epoch(train) [10][2480/3757] lr: 1.000e-02 eta: 1 day, 0:47:38 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.7923 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2246 loss: 2.2246 2022/06/27 21:03:45 - mmengine - INFO - Epoch(train) [10][2500/3757] lr: 1.000e-02 eta: 1 day, 0:47:40 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.5120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1557 loss: 2.1557 2022/06/27 21:03:49 - mmengine - INFO - Epoch(train) [10][2520/3757] lr: 1.000e-02 eta: 1 day, 0:47:23 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 5.2571 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6647 loss: 2.6647 2022/06/27 21:03:55 - mmengine - INFO - Epoch(train) [10][2540/3757] lr: 1.000e-02 eta: 1 day, 0:47:21 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 4.6436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9224 loss: 2.9224 2022/06/27 21:04:00 - mmengine - INFO - Epoch(train) [10][2560/3757] lr: 1.000e-02 eta: 1 day, 0:47:13 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 5.7951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1965 loss: 2.1965 2022/06/27 21:04:05 - mmengine - INFO - Epoch(train) [10][2580/3757] lr: 1.000e-02 eta: 1 day, 0:47:07 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.4472 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.5583 loss: 2.5583 2022/06/27 21:04:11 - mmengine - INFO - Epoch(train) [10][2600/3757] lr: 1.000e-02 eta: 1 day, 0:47:05 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4880 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1569 loss: 2.1569 2022/06/27 21:04:17 - mmengine - INFO - Epoch(train) [10][2620/3757] lr: 1.000e-02 eta: 1 day, 0:47:05 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.2547 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7941 loss: 2.7941 2022/06/27 21:04:21 - mmengine - INFO - Epoch(train) [10][2640/3757] lr: 1.000e-02 eta: 1 day, 0:46:54 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4304 loss: 2.4304 2022/06/27 21:04:27 - mmengine - INFO - Epoch(train) [10][2660/3757] lr: 1.000e-02 eta: 1 day, 0:46:51 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7797 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5555 loss: 2.5555 2022/06/27 21:04:32 - mmengine - INFO - Epoch(train) [10][2680/3757] lr: 1.000e-02 eta: 1 day, 0:46:49 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.7179 loss: 2.7179 2022/06/27 21:04:38 - mmengine - INFO - Epoch(train) [10][2700/3757] lr: 1.000e-02 eta: 1 day, 0:46:44 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1663 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4165 loss: 2.4165 2022/06/27 21:04:43 - mmengine - INFO - Epoch(train) [10][2720/3757] lr: 1.000e-02 eta: 1 day, 0:46:41 time: 0.213 data_time: 0.016 memory: 5150 grad_norm: 4.6824 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2429 loss: 2.2429 2022/06/27 21:04:48 - mmengine - INFO - Epoch(train) [10][2740/3757] lr: 1.000e-02 eta: 1 day, 0:46:33 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.9728 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5030 loss: 2.5030 2022/06/27 21:04:54 - mmengine - INFO - Epoch(train) [10][2760/3757] lr: 1.000e-02 eta: 1 day, 0:46:32 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8411 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3200 loss: 2.3200 2022/06/27 21:04:59 - mmengine - INFO - Epoch(train) [10][2780/3757] lr: 1.000e-02 eta: 1 day, 0:46:23 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 5.5687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3979 loss: 2.3979 2022/06/27 21:05:04 - mmengine - INFO - Epoch(train) [10][2800/3757] lr: 1.000e-02 eta: 1 day, 0:46:20 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.7257 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1488 loss: 2.1488 2022/06/27 21:05:10 - mmengine - INFO - Epoch(train) [10][2820/3757] lr: 1.000e-02 eta: 1 day, 0:46:19 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.4227 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.8632 loss: 2.8632 2022/06/27 21:05:16 - mmengine - INFO - Epoch(train) [10][2840/3757] lr: 1.000e-02 eta: 1 day, 0:46:18 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.4019 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8972 loss: 2.8972 2022/06/27 21:05:21 - mmengine - INFO - Epoch(train) [10][2860/3757] lr: 1.000e-02 eta: 1 day, 0:46:09 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.1850 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4658 loss: 2.4658 2022/06/27 21:05:26 - mmengine - INFO - Epoch(train) [10][2880/3757] lr: 1.000e-02 eta: 1 day, 0:46:01 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1672 loss: 2.1672 2022/06/27 21:05:31 - mmengine - INFO - Epoch(train) [10][2900/3757] lr: 1.000e-02 eta: 1 day, 0:45:58 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.6603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1761 loss: 2.1761 2022/06/27 21:05:37 - mmengine - INFO - Epoch(train) [10][2920/3757] lr: 1.000e-02 eta: 1 day, 0:46:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1471 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2878 loss: 2.2878 2022/06/27 21:05:42 - mmengine - INFO - Epoch(train) [10][2940/3757] lr: 1.000e-02 eta: 1 day, 0:45:52 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.4492 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4523 loss: 2.4523 2022/06/27 21:05:47 - mmengine - INFO - Epoch(train) [10][2960/3757] lr: 1.000e-02 eta: 1 day, 0:45:46 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 5.6416 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6272 loss: 2.6272 2022/06/27 21:05:53 - mmengine - INFO - Epoch(train) [10][2980/3757] lr: 1.000e-02 eta: 1 day, 0:45:44 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.8027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3731 loss: 2.3731 2022/06/27 21:05:58 - mmengine - INFO - Epoch(train) [10][3000/3757] lr: 1.000e-02 eta: 1 day, 0:45:34 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0939 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2444 loss: 2.2444 2022/06/27 21:06:03 - mmengine - INFO - Epoch(train) [10][3020/3757] lr: 1.000e-02 eta: 1 day, 0:45:32 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 5.5238 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4939 loss: 2.4939 2022/06/27 21:06:09 - mmengine - INFO - Epoch(train) [10][3040/3757] lr: 1.000e-02 eta: 1 day, 0:45:33 time: 0.194 data_time: 0.019 memory: 5150 grad_norm: 5.1850 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2305 loss: 2.2305 2022/06/27 21:06:15 - mmengine - INFO - Epoch(train) [10][3060/3757] lr: 1.000e-02 eta: 1 day, 0:45:29 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5776 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5746 loss: 2.5746 2022/06/27 21:06:20 - mmengine - INFO - Epoch(train) [10][3080/3757] lr: 1.000e-02 eta: 1 day, 0:45:25 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.4217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2584 loss: 2.2584 2022/06/27 21:06:25 - mmengine - INFO - Epoch(train) [10][3100/3757] lr: 1.000e-02 eta: 1 day, 0:45:19 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.9396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9933 loss: 2.9933 2022/06/27 21:06:30 - mmengine - INFO - Epoch(train) [10][3120/3757] lr: 1.000e-02 eta: 1 day, 0:45:08 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.6030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5637 loss: 2.5637 2022/06/27 21:06:36 - mmengine - INFO - Epoch(train) [10][3140/3757] lr: 1.000e-02 eta: 1 day, 0:45:09 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.2979 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0085 loss: 2.0085 2022/06/27 21:06:41 - mmengine - INFO - Epoch(train) [10][3160/3757] lr: 1.000e-02 eta: 1 day, 0:45:03 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 5.5151 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2538 loss: 2.2538 2022/06/27 21:06:47 - mmengine - INFO - Epoch(train) [10][3180/3757] lr: 1.000e-02 eta: 1 day, 0:45:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0774 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3628 loss: 2.3628 2022/06/27 21:06:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:06:51 - mmengine - INFO - Epoch(train) [10][3200/3757] lr: 1.000e-02 eta: 1 day, 0:44:50 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 5.2834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4799 loss: 2.4799 2022/06/27 21:06:57 - mmengine - INFO - Epoch(train) [10][3220/3757] lr: 1.000e-02 eta: 1 day, 0:44:50 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2306 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5907 loss: 2.5907 2022/06/27 21:07:02 - mmengine - INFO - Epoch(train) [10][3240/3757] lr: 1.000e-02 eta: 1 day, 0:44:41 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5973 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5561 loss: 2.5561 2022/06/27 21:07:08 - mmengine - INFO - Epoch(train) [10][3260/3757] lr: 1.000e-02 eta: 1 day, 0:44:41 time: 0.190 data_time: 0.013 memory: 5150 grad_norm: 5.5393 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9914 loss: 1.9914 2022/06/27 21:07:14 - mmengine - INFO - Epoch(train) [10][3280/3757] lr: 1.000e-02 eta: 1 day, 0:44:43 time: 0.519 data_time: 0.009 memory: 5150 grad_norm: 5.1901 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0415 loss: 2.0415 2022/06/27 21:07:18 - mmengine - INFO - Epoch(train) [10][3300/3757] lr: 1.000e-02 eta: 1 day, 0:44:29 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.7090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2725 loss: 2.2725 2022/06/27 21:07:24 - mmengine - INFO - Epoch(train) [10][3320/3757] lr: 1.000e-02 eta: 1 day, 0:44:28 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1058 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2787 loss: 2.2787 2022/06/27 21:07:29 - mmengine - INFO - Epoch(train) [10][3340/3757] lr: 1.000e-02 eta: 1 day, 0:44:23 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 4.9291 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4570 loss: 2.4570 2022/06/27 21:07:34 - mmengine - INFO - Epoch(train) [10][3360/3757] lr: 1.000e-02 eta: 1 day, 0:44:18 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7318 loss: 2.7318 2022/06/27 21:07:40 - mmengine - INFO - Epoch(train) [10][3380/3757] lr: 1.000e-02 eta: 1 day, 0:44:16 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.6989 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7736 loss: 2.7736 2022/06/27 21:07:46 - mmengine - INFO - Epoch(train) [10][3400/3757] lr: 1.000e-02 eta: 1 day, 0:44:15 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.0262 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3473 loss: 2.3473 2022/06/27 21:07:50 - mmengine - INFO - Epoch(train) [10][3420/3757] lr: 1.000e-02 eta: 1 day, 0:44:04 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.4575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5906 loss: 2.5906 2022/06/27 21:07:56 - mmengine - INFO - Epoch(train) [10][3440/3757] lr: 1.000e-02 eta: 1 day, 0:44:01 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.0205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5951 loss: 2.5951 2022/06/27 21:08:02 - mmengine - INFO - Epoch(train) [10][3460/3757] lr: 1.000e-02 eta: 1 day, 0:43:59 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.9115 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8629 loss: 2.8629 2022/06/27 21:08:06 - mmengine - INFO - Epoch(train) [10][3480/3757] lr: 1.000e-02 eta: 1 day, 0:43:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5528 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3079 loss: 2.3079 2022/06/27 21:08:12 - mmengine - INFO - Epoch(train) [10][3500/3757] lr: 1.000e-02 eta: 1 day, 0:43:46 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.7453 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5517 loss: 2.5517 2022/06/27 21:08:18 - mmengine - INFO - Epoch(train) [10][3520/3757] lr: 1.000e-02 eta: 1 day, 0:43:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4389 loss: 2.4389 2022/06/27 21:08:23 - mmengine - INFO - Epoch(train) [10][3540/3757] lr: 1.000e-02 eta: 1 day, 0:43:38 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.6413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1931 loss: 2.1931 2022/06/27 21:08:28 - mmengine - INFO - Epoch(train) [10][3560/3757] lr: 1.000e-02 eta: 1 day, 0:43:38 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 5.0887 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5523 loss: 2.5523 2022/06/27 21:08:33 - mmengine - INFO - Epoch(train) [10][3580/3757] lr: 1.000e-02 eta: 1 day, 0:43:24 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.5215 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4156 loss: 2.4156 2022/06/27 21:08:38 - mmengine - INFO - Epoch(train) [10][3600/3757] lr: 1.000e-02 eta: 1 day, 0:43:16 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 5.4665 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1359 loss: 2.1359 2022/06/27 21:08:43 - mmengine - INFO - Epoch(train) [10][3620/3757] lr: 1.000e-02 eta: 1 day, 0:43:14 time: 0.199 data_time: 0.022 memory: 5150 grad_norm: 5.5016 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2246 loss: 2.2246 2022/06/27 21:08:49 - mmengine - INFO - Epoch(train) [10][3640/3757] lr: 1.000e-02 eta: 1 day, 0:43:11 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.1400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6387 loss: 2.6387 2022/06/27 21:08:54 - mmengine - INFO - Epoch(train) [10][3660/3757] lr: 1.000e-02 eta: 1 day, 0:43:03 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.7655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/06/27 21:08:59 - mmengine - INFO - Epoch(train) [10][3680/3757] lr: 1.000e-02 eta: 1 day, 0:42:55 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 5.7168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8728 loss: 2.8728 2022/06/27 21:09:05 - mmengine - INFO - Epoch(train) [10][3700/3757] lr: 1.000e-02 eta: 1 day, 0:42:54 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1020 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5450 loss: 2.5450 2022/06/27 21:09:10 - mmengine - INFO - Epoch(train) [10][3720/3757] lr: 1.000e-02 eta: 1 day, 0:42:47 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.3128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6827 loss: 2.6827 2022/06/27 21:09:15 - mmengine - INFO - Epoch(train) [10][3740/3757] lr: 1.000e-02 eta: 1 day, 0:42:40 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.7295 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5203 loss: 2.5203 2022/06/27 21:09:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:09:18 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/06/27 21:09:53 - mmengine - INFO - Epoch(val) [10][20/310] eta: 0:05:20 time: 0.968 data_time: 0.314 memory: 9746 2022/06/27 21:10:15 - mmengine - INFO - Epoch(val) [10][40/310] eta: 0:04:48 time: 1.037 data_time: 0.359 memory: 9746 2022/06/27 21:10:39 - mmengine - INFO - Epoch(val) [10][60/310] eta: 0:04:23 time: 1.106 data_time: 0.469 memory: 9746 2022/06/27 21:11:03 - mmengine - INFO - Epoch(val) [10][80/310] eta: 0:05:08 time: 1.052 data_time: 0.413 memory: 9746 2022/06/27 21:11:26 - mmengine - INFO - Epoch(val) [10][100/310] eta: 0:04:02 time: 1.964 data_time: 1.334 memory: 9746 2022/06/27 21:11:47 - mmengine - INFO - Epoch(val) [10][120/310] eta: 0:03:20 time: 0.994 data_time: 0.330 memory: 9746 2022/06/27 21:12:12 - mmengine - INFO - Epoch(val) [10][140/310] eta: 0:03:15 time: 1.102 data_time: 0.464 memory: 9746 2022/06/27 21:12:37 - mmengine - INFO - Epoch(val) [10][160/310] eta: 0:03:18 time: 3.790 data_time: 3.114 memory: 9746 2022/06/27 21:13:00 - mmengine - INFO - Epoch(val) [10][180/310] eta: 0:02:47 time: 1.019 data_time: 0.363 memory: 9746 2022/06/27 21:13:22 - mmengine - INFO - Epoch(val) [10][200/310] eta: 0:02:04 time: 1.073 data_time: 0.435 memory: 9746 2022/06/27 21:13:44 - mmengine - INFO - Epoch(val) [10][220/310] eta: 0:01:36 time: 1.089 data_time: 0.445 memory: 9746 2022/06/27 21:14:05 - mmengine - INFO - Epoch(val) [10][240/310] eta: 0:01:12 time: 1.030 data_time: 0.374 memory: 9746 2022/06/27 21:14:28 - mmengine - INFO - Epoch(val) [10][260/310] eta: 0:00:57 time: 1.052 data_time: 0.395 memory: 9746 2022/06/27 21:14:52 - mmengine - INFO - Epoch(val) [10][280/310] eta: 0:00:35 time: 2.502 data_time: 1.819 memory: 9746 2022/06/27 21:15:10 - mmengine - INFO - Epoch(val) [10][300/310] eta: 0:00:07 time: 0.618 data_time: 0.057 memory: 9746 2022/06/27 21:15:21 - mmengine - INFO - Epoch(val) [10][310/310] acc/top1: 0.5402 acc/top5: 0.7964 acc/mean1: 0.5401 2022/06/27 21:15:30 - mmengine - INFO - Epoch(train) [11][20/3757] lr: 1.000e-02 eta: 1 day, 0:42:39 time: 0.199 data_time: 0.007 memory: 9746 grad_norm: 4.8161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1292 loss: 2.1292 2022/06/27 21:15:35 - mmengine - INFO - Epoch(train) [11][40/3757] lr: 1.000e-02 eta: 1 day, 0:42:36 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.9143 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0984 loss: 2.0984 2022/06/27 21:15:40 - mmengine - INFO - Epoch(train) [11][60/3757] lr: 1.000e-02 eta: 1 day, 0:42:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9015 loss: 1.9015 2022/06/27 21:15:46 - mmengine - INFO - Epoch(train) [11][80/3757] lr: 1.000e-02 eta: 1 day, 0:42:27 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.2577 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0232 loss: 2.0232 2022/06/27 21:15:52 - mmengine - INFO - Epoch(train) [11][100/3757] lr: 1.000e-02 eta: 1 day, 0:42:26 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0366 loss: 2.0366 2022/06/27 21:15:57 - mmengine - INFO - Epoch(train) [11][120/3757] lr: 1.000e-02 eta: 1 day, 0:42:19 time: 0.190 data_time: 0.006 memory: 5150 grad_norm: 5.5038 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3120 loss: 2.3120 2022/06/27 21:16:02 - mmengine - INFO - Epoch(train) [11][140/3757] lr: 1.000e-02 eta: 1 day, 0:42:15 time: 0.188 data_time: 0.011 memory: 5150 grad_norm: 4.9252 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0774 loss: 2.0774 2022/06/27 21:16:08 - mmengine - INFO - Epoch(train) [11][160/3757] lr: 1.000e-02 eta: 1 day, 0:42:12 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 5.5927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9514 loss: 1.9514 2022/06/27 21:16:12 - mmengine - INFO - Epoch(train) [11][180/3757] lr: 1.000e-02 eta: 1 day, 0:42:01 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.8978 loss: 2.8978 2022/06/27 21:16:18 - mmengine - INFO - Epoch(train) [11][200/3757] lr: 1.000e-02 eta: 1 day, 0:42:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4383 loss: 2.4383 2022/06/27 21:16:24 - mmengine - INFO - Epoch(train) [11][220/3757] lr: 1.000e-02 eta: 1 day, 0:42:00 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.1713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2275 loss: 2.2275 2022/06/27 21:16:29 - mmengine - INFO - Epoch(train) [11][240/3757] lr: 1.000e-02 eta: 1 day, 0:41:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.7741 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3970 loss: 2.3970 2022/06/27 21:16:34 - mmengine - INFO - Epoch(train) [11][260/3757] lr: 1.000e-02 eta: 1 day, 0:41:51 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5957 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/06/27 21:16:40 - mmengine - INFO - Epoch(train) [11][280/3757] lr: 1.000e-02 eta: 1 day, 0:41:47 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 6.0641 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.1528 loss: 2.1528 2022/06/27 21:16:46 - mmengine - INFO - Epoch(train) [11][300/3757] lr: 1.000e-02 eta: 1 day, 0:41:45 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.4444 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5981 loss: 2.5981 2022/06/27 21:16:51 - mmengine - INFO - Epoch(train) [11][320/3757] lr: 1.000e-02 eta: 1 day, 0:41:39 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.6710 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5245 loss: 2.5245 2022/06/27 21:16:56 - mmengine - INFO - Epoch(train) [11][340/3757] lr: 1.000e-02 eta: 1 day, 0:41:37 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.2496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8592 loss: 2.8592 2022/06/27 21:17:01 - mmengine - INFO - Epoch(train) [11][360/3757] lr: 1.000e-02 eta: 1 day, 0:41:27 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5628 loss: 2.5628 2022/06/27 21:17:07 - mmengine - INFO - Epoch(train) [11][380/3757] lr: 1.000e-02 eta: 1 day, 0:41:27 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6676 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4084 loss: 2.4084 2022/06/27 21:17:12 - mmengine - INFO - Epoch(train) [11][400/3757] lr: 1.000e-02 eta: 1 day, 0:41:17 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3474 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2581 loss: 2.2581 2022/06/27 21:17:16 - mmengine - INFO - Epoch(train) [11][420/3757] lr: 1.000e-02 eta: 1 day, 0:41:07 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.8762 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3615 loss: 2.3615 2022/06/27 21:17:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:17:22 - mmengine - INFO - Epoch(train) [11][440/3757] lr: 1.000e-02 eta: 1 day, 0:41:05 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.6949 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5155 loss: 2.5155 2022/06/27 21:17:28 - mmengine - INFO - Epoch(train) [11][460/3757] lr: 1.000e-02 eta: 1 day, 0:41:02 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5388 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1637 loss: 2.1637 2022/06/27 21:17:33 - mmengine - INFO - Epoch(train) [11][480/3757] lr: 1.000e-02 eta: 1 day, 0:40:54 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.7939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1973 loss: 2.1973 2022/06/27 21:17:38 - mmengine - INFO - Epoch(train) [11][500/3757] lr: 1.000e-02 eta: 1 day, 0:40:50 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.7359 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4558 loss: 2.4558 2022/06/27 21:17:43 - mmengine - INFO - Epoch(train) [11][520/3757] lr: 1.000e-02 eta: 1 day, 0:40:44 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 6.1437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2595 loss: 2.2595 2022/06/27 21:17:48 - mmengine - INFO - Epoch(train) [11][540/3757] lr: 1.000e-02 eta: 1 day, 0:40:39 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.4847 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3624 loss: 2.3624 2022/06/27 21:17:53 - mmengine - INFO - Epoch(train) [11][560/3757] lr: 1.000e-02 eta: 1 day, 0:40:30 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.7614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5191 loss: 2.5191 2022/06/27 21:17:59 - mmengine - INFO - Epoch(train) [11][580/3757] lr: 1.000e-02 eta: 1 day, 0:40:26 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 6.0843 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3630 loss: 2.3630 2022/06/27 21:18:04 - mmengine - INFO - Epoch(train) [11][600/3757] lr: 1.000e-02 eta: 1 day, 0:40:24 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.1395 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6656 loss: 2.6656 2022/06/27 21:18:09 - mmengine - INFO - Epoch(train) [11][620/3757] lr: 1.000e-02 eta: 1 day, 0:40:15 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.4360 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4500 loss: 2.4500 2022/06/27 21:18:15 - mmengine - INFO - Epoch(train) [11][640/3757] lr: 1.000e-02 eta: 1 day, 0:40:11 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.4557 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.8564 loss: 2.8564 2022/06/27 21:18:20 - mmengine - INFO - Epoch(train) [11][660/3757] lr: 1.000e-02 eta: 1 day, 0:40:08 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.0459 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1573 loss: 2.1573 2022/06/27 21:18:25 - mmengine - INFO - Epoch(train) [11][680/3757] lr: 1.000e-02 eta: 1 day, 0:40:00 time: 0.264 data_time: 0.052 memory: 5150 grad_norm: 5.1418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1537 loss: 2.1537 2022/06/27 21:18:30 - mmengine - INFO - Epoch(train) [11][700/3757] lr: 1.000e-02 eta: 1 day, 0:39:56 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3594 loss: 2.3594 2022/06/27 21:18:36 - mmengine - INFO - Epoch(train) [11][720/3757] lr: 1.000e-02 eta: 1 day, 0:39:50 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.4529 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5187 loss: 2.5187 2022/06/27 21:18:41 - mmengine - INFO - Epoch(train) [11][740/3757] lr: 1.000e-02 eta: 1 day, 0:39:42 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 4.8044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3372 loss: 2.3372 2022/06/27 21:18:47 - mmengine - INFO - Epoch(train) [11][760/3757] lr: 1.000e-02 eta: 1 day, 0:39:46 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.7860 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8355 loss: 1.8355 2022/06/27 21:18:52 - mmengine - INFO - Epoch(train) [11][780/3757] lr: 1.000e-02 eta: 1 day, 0:39:36 time: 0.199 data_time: 0.019 memory: 5150 grad_norm: 4.9163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5996 loss: 2.5996 2022/06/27 21:18:57 - mmengine - INFO - Epoch(train) [11][800/3757] lr: 1.000e-02 eta: 1 day, 0:39:31 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8275 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7190 loss: 2.7190 2022/06/27 21:19:03 - mmengine - INFO - Epoch(train) [11][820/3757] lr: 1.000e-02 eta: 1 day, 0:39:29 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.2804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2579 loss: 2.2579 2022/06/27 21:19:08 - mmengine - INFO - Epoch(train) [11][840/3757] lr: 1.000e-02 eta: 1 day, 0:39:24 time: 0.198 data_time: 0.024 memory: 5150 grad_norm: 5.4343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0053 loss: 2.0053 2022/06/27 21:19:12 - mmengine - INFO - Epoch(train) [11][860/3757] lr: 1.000e-02 eta: 1 day, 0:39:11 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.3635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2153 loss: 2.2153 2022/06/27 21:19:18 - mmengine - INFO - Epoch(train) [11][880/3757] lr: 1.000e-02 eta: 1 day, 0:39:07 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6716 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4612 loss: 2.4612 2022/06/27 21:19:23 - mmengine - INFO - Epoch(train) [11][900/3757] lr: 1.000e-02 eta: 1 day, 0:39:00 time: 0.204 data_time: 0.028 memory: 5150 grad_norm: 5.2856 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9096 loss: 2.9096 2022/06/27 21:19:28 - mmengine - INFO - Epoch(train) [11][920/3757] lr: 1.000e-02 eta: 1 day, 0:38:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4956 loss: 2.4956 2022/06/27 21:19:34 - mmengine - INFO - Epoch(train) [11][940/3757] lr: 1.000e-02 eta: 1 day, 0:38:53 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.5790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8223 loss: 1.8223 2022/06/27 21:19:39 - mmengine - INFO - Epoch(train) [11][960/3757] lr: 1.000e-02 eta: 1 day, 0:38:44 time: 0.198 data_time: 0.031 memory: 5150 grad_norm: 5.8050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3057 loss: 2.3057 2022/06/27 21:19:44 - mmengine - INFO - Epoch(train) [11][980/3757] lr: 1.000e-02 eta: 1 day, 0:38:41 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.9322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3510 loss: 2.3510 2022/06/27 21:19:49 - mmengine - INFO - Epoch(train) [11][1000/3757] lr: 1.000e-02 eta: 1 day, 0:38:36 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.6096 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1952 loss: 2.1952 2022/06/27 21:19:54 - mmengine - INFO - Epoch(train) [11][1020/3757] lr: 1.000e-02 eta: 1 day, 0:38:28 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 5.4709 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3853 loss: 2.3853 2022/06/27 21:20:00 - mmengine - INFO - Epoch(train) [11][1040/3757] lr: 1.000e-02 eta: 1 day, 0:38:26 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.3875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4222 loss: 2.4222 2022/06/27 21:20:07 - mmengine - INFO - Epoch(train) [11][1060/3757] lr: 1.000e-02 eta: 1 day, 0:38:34 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.0282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2478 loss: 2.2478 2022/06/27 21:20:11 - mmengine - INFO - Epoch(train) [11][1080/3757] lr: 1.000e-02 eta: 1 day, 0:38:19 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.7053 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3076 loss: 2.3076 2022/06/27 21:20:16 - mmengine - INFO - Epoch(train) [11][1100/3757] lr: 1.000e-02 eta: 1 day, 0:38:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2938 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1433 loss: 2.1433 2022/06/27 21:20:21 - mmengine - INFO - Epoch(train) [11][1120/3757] lr: 1.000e-02 eta: 1 day, 0:38:07 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.8636 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4611 loss: 2.4611 2022/06/27 21:20:26 - mmengine - INFO - Epoch(train) [11][1140/3757] lr: 1.000e-02 eta: 1 day, 0:38:00 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 5.2965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3649 loss: 2.3649 2022/06/27 21:20:32 - mmengine - INFO - Epoch(train) [11][1160/3757] lr: 1.000e-02 eta: 1 day, 0:37:58 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.0361 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3784 loss: 2.3784 2022/06/27 21:20:37 - mmengine - INFO - Epoch(train) [11][1180/3757] lr: 1.000e-02 eta: 1 day, 0:37:51 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4631 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7147 loss: 2.7147 2022/06/27 21:20:43 - mmengine - INFO - Epoch(train) [11][1200/3757] lr: 1.000e-02 eta: 1 day, 0:37:52 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 5.9791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4602 loss: 2.4602 2022/06/27 21:20:48 - mmengine - INFO - Epoch(train) [11][1220/3757] lr: 1.000e-02 eta: 1 day, 0:37:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6873 loss: 2.6873 2022/06/27 21:20:53 - mmengine - INFO - Epoch(train) [11][1240/3757] lr: 1.000e-02 eta: 1 day, 0:37:37 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.0255 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.7011 loss: 2.7011 2022/06/27 21:20:59 - mmengine - INFO - Epoch(train) [11][1260/3757] lr: 1.000e-02 eta: 1 day, 0:37:36 time: 0.216 data_time: 0.016 memory: 5150 grad_norm: 5.6188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4084 loss: 2.4084 2022/06/27 21:21:04 - mmengine - INFO - Epoch(train) [11][1280/3757] lr: 1.000e-02 eta: 1 day, 0:37:28 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 5.5441 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3603 loss: 2.3603 2022/06/27 21:21:09 - mmengine - INFO - Epoch(train) [11][1300/3757] lr: 1.000e-02 eta: 1 day, 0:37:25 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.7291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2227 loss: 2.2227 2022/06/27 21:21:15 - mmengine - INFO - Epoch(train) [11][1320/3757] lr: 1.000e-02 eta: 1 day, 0:37:25 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 5.9645 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3802 loss: 2.3802 2022/06/27 21:21:20 - mmengine - INFO - Epoch(train) [11][1340/3757] lr: 1.000e-02 eta: 1 day, 0:37:18 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.3765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9234 loss: 1.9234 2022/06/27 21:21:26 - mmengine - INFO - Epoch(train) [11][1360/3757] lr: 1.000e-02 eta: 1 day, 0:37:15 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.2520 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1515 loss: 2.1515 2022/06/27 21:21:31 - mmengine - INFO - Epoch(train) [11][1380/3757] lr: 1.000e-02 eta: 1 day, 0:37:12 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0289 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2970 loss: 2.2970 2022/06/27 21:21:36 - mmengine - INFO - Epoch(train) [11][1400/3757] lr: 1.000e-02 eta: 1 day, 0:37:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1187 loss: 2.1187 2022/06/27 21:21:42 - mmengine - INFO - Epoch(train) [11][1420/3757] lr: 1.000e-02 eta: 1 day, 0:37:01 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.6047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2726 loss: 2.2726 2022/06/27 21:21:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:21:47 - mmengine - INFO - Epoch(train) [11][1440/3757] lr: 1.000e-02 eta: 1 day, 0:36:55 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.7244 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5874 loss: 2.5874 2022/06/27 21:21:52 - mmengine - INFO - Epoch(train) [11][1460/3757] lr: 1.000e-02 eta: 1 day, 0:36:47 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3494 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4055 loss: 2.4055 2022/06/27 21:21:57 - mmengine - INFO - Epoch(train) [11][1480/3757] lr: 1.000e-02 eta: 1 day, 0:36:43 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 4.5170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6866 loss: 2.6866 2022/06/27 21:22:04 - mmengine - INFO - Epoch(train) [11][1500/3757] lr: 1.000e-02 eta: 1 day, 0:36:48 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.9462 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1522 loss: 2.1522 2022/06/27 21:22:09 - mmengine - INFO - Epoch(train) [11][1520/3757] lr: 1.000e-02 eta: 1 day, 0:36:40 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5886 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1089 loss: 2.1089 2022/06/27 21:22:13 - mmengine - INFO - Epoch(train) [11][1540/3757] lr: 1.000e-02 eta: 1 day, 0:36:30 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.9843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9884 loss: 1.9884 2022/06/27 21:22:19 - mmengine - INFO - Epoch(train) [11][1560/3757] lr: 1.000e-02 eta: 1 day, 0:36:28 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.4397 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2712 loss: 2.2712 2022/06/27 21:22:25 - mmengine - INFO - Epoch(train) [11][1580/3757] lr: 1.000e-02 eta: 1 day, 0:36:26 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.6668 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5203 loss: 2.5203 2022/06/27 21:22:30 - mmengine - INFO - Epoch(train) [11][1600/3757] lr: 1.000e-02 eta: 1 day, 0:36:19 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 4.9893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5814 loss: 2.5814 2022/06/27 21:22:35 - mmengine - INFO - Epoch(train) [11][1620/3757] lr: 1.000e-02 eta: 1 day, 0:36:17 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.3013 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6460 loss: 1.6460 2022/06/27 21:22:41 - mmengine - INFO - Epoch(train) [11][1640/3757] lr: 1.000e-02 eta: 1 day, 0:36:13 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.7850 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0919 loss: 2.0919 2022/06/27 21:22:46 - mmengine - INFO - Epoch(train) [11][1660/3757] lr: 1.000e-02 eta: 1 day, 0:36:06 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.7009 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5934 loss: 2.5934 2022/06/27 21:22:52 - mmengine - INFO - Epoch(train) [11][1680/3757] lr: 1.000e-02 eta: 1 day, 0:36:04 time: 0.220 data_time: 0.013 memory: 5150 grad_norm: 6.3942 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 3.2298 loss: 3.2298 2022/06/27 21:22:57 - mmengine - INFO - Epoch(train) [11][1700/3757] lr: 1.000e-02 eta: 1 day, 0:36:03 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.9158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3605 loss: 2.3605 2022/06/27 21:23:02 - mmengine - INFO - Epoch(train) [11][1720/3757] lr: 1.000e-02 eta: 1 day, 0:35:54 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.2825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 3.0144 loss: 3.0144 2022/06/27 21:23:07 - mmengine - INFO - Epoch(train) [11][1740/3757] lr: 1.000e-02 eta: 1 day, 0:35:49 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 5.1335 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4460 loss: 2.4460 2022/06/27 21:23:13 - mmengine - INFO - Epoch(train) [11][1760/3757] lr: 1.000e-02 eta: 1 day, 0:35:44 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.5503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8974 loss: 1.8974 2022/06/27 21:23:18 - mmengine - INFO - Epoch(train) [11][1780/3757] lr: 1.000e-02 eta: 1 day, 0:35:36 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.2329 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4939 loss: 2.4939 2022/06/27 21:23:24 - mmengine - INFO - Epoch(train) [11][1800/3757] lr: 1.000e-02 eta: 1 day, 0:35:37 time: 0.190 data_time: 0.014 memory: 5150 grad_norm: 5.6423 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1323 loss: 2.1323 2022/06/27 21:23:29 - mmengine - INFO - Epoch(train) [11][1820/3757] lr: 1.000e-02 eta: 1 day, 0:35:32 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.2110 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2307 loss: 2.2307 2022/06/27 21:23:33 - mmengine - INFO - Epoch(train) [11][1840/3757] lr: 1.000e-02 eta: 1 day, 0:35:20 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.7264 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3054 loss: 2.3054 2022/06/27 21:23:40 - mmengine - INFO - Epoch(train) [11][1860/3757] lr: 1.000e-02 eta: 1 day, 0:35:22 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.3761 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3868 loss: 2.3868 2022/06/27 21:23:45 - mmengine - INFO - Epoch(train) [11][1880/3757] lr: 1.000e-02 eta: 1 day, 0:35:17 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.5496 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4168 loss: 2.4168 2022/06/27 21:23:50 - mmengine - INFO - Epoch(train) [11][1900/3757] lr: 1.000e-02 eta: 1 day, 0:35:08 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.8741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2539 loss: 2.2539 2022/06/27 21:23:55 - mmengine - INFO - Epoch(train) [11][1920/3757] lr: 1.000e-02 eta: 1 day, 0:35:07 time: 0.257 data_time: 0.040 memory: 5150 grad_norm: 5.2996 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5122 loss: 2.5122 2022/06/27 21:24:00 - mmengine - INFO - Epoch(train) [11][1940/3757] lr: 1.000e-02 eta: 1 day, 0:34:58 time: 0.197 data_time: 0.022 memory: 5150 grad_norm: 5.7653 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1423 loss: 2.1423 2022/06/27 21:24:06 - mmengine - INFO - Epoch(train) [11][1960/3757] lr: 1.000e-02 eta: 1 day, 0:34:57 time: 0.245 data_time: 0.007 memory: 5150 grad_norm: 5.6076 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4136 loss: 2.4136 2022/06/27 21:24:11 - mmengine - INFO - Epoch(train) [11][1980/3757] lr: 1.000e-02 eta: 1 day, 0:34:52 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 4.5893 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9678 loss: 1.9678 2022/06/27 21:24:16 - mmengine - INFO - Epoch(train) [11][2000/3757] lr: 1.000e-02 eta: 1 day, 0:34:45 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.8171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9756 loss: 1.9756 2022/06/27 21:24:22 - mmengine - INFO - Epoch(train) [11][2020/3757] lr: 1.000e-02 eta: 1 day, 0:34:40 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 5.5980 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2601 loss: 2.2601 2022/06/27 21:24:27 - mmengine - INFO - Epoch(train) [11][2040/3757] lr: 1.000e-02 eta: 1 day, 0:34:36 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4808 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1418 loss: 2.1418 2022/06/27 21:24:32 - mmengine - INFO - Epoch(train) [11][2060/3757] lr: 1.000e-02 eta: 1 day, 0:34:28 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4149 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1215 loss: 2.1215 2022/06/27 21:24:38 - mmengine - INFO - Epoch(train) [11][2080/3757] lr: 1.000e-02 eta: 1 day, 0:34:24 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.8505 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4651 loss: 2.4651 2022/06/27 21:24:43 - mmengine - INFO - Epoch(train) [11][2100/3757] lr: 1.000e-02 eta: 1 day, 0:34:19 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1560 loss: 2.1560 2022/06/27 21:24:48 - mmengine - INFO - Epoch(train) [11][2120/3757] lr: 1.000e-02 eta: 1 day, 0:34:11 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.9974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3985 loss: 2.3985 2022/06/27 21:24:53 - mmengine - INFO - Epoch(train) [11][2140/3757] lr: 1.000e-02 eta: 1 day, 0:34:08 time: 0.334 data_time: 0.010 memory: 5150 grad_norm: 5.5303 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2547 loss: 2.2547 2022/06/27 21:24:58 - mmengine - INFO - Epoch(train) [11][2160/3757] lr: 1.000e-02 eta: 1 day, 0:34:02 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 5.3275 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8216 loss: 2.8216 2022/06/27 21:25:04 - mmengine - INFO - Epoch(train) [11][2180/3757] lr: 1.000e-02 eta: 1 day, 0:33:55 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7872 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6666 loss: 2.6666 2022/06/27 21:25:10 - mmengine - INFO - Epoch(train) [11][2200/3757] lr: 1.000e-02 eta: 1 day, 0:33:56 time: 0.343 data_time: 0.007 memory: 5150 grad_norm: 5.5548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1981 loss: 2.1981 2022/06/27 21:25:15 - mmengine - INFO - Epoch(train) [11][2220/3757] lr: 1.000e-02 eta: 1 day, 0:33:55 time: 0.343 data_time: 0.010 memory: 5150 grad_norm: 5.1152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3701 loss: 2.3701 2022/06/27 21:25:20 - mmengine - INFO - Epoch(train) [11][2240/3757] lr: 1.000e-02 eta: 1 day, 0:33:45 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5676 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8443 loss: 2.8443 2022/06/27 21:25:26 - mmengine - INFO - Epoch(train) [11][2260/3757] lr: 1.000e-02 eta: 1 day, 0:33:46 time: 0.931 data_time: 0.007 memory: 5150 grad_norm: 5.5012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4432 loss: 2.4432 2022/06/27 21:25:31 - mmengine - INFO - Epoch(train) [11][2280/3757] lr: 1.000e-02 eta: 1 day, 0:33:40 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5485 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0745 loss: 2.0745 2022/06/27 21:25:37 - mmengine - INFO - Epoch(train) [11][2300/3757] lr: 1.000e-02 eta: 1 day, 0:33:41 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.3819 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5267 loss: 2.5267 2022/06/27 21:25:42 - mmengine - INFO - Epoch(train) [11][2320/3757] lr: 1.000e-02 eta: 1 day, 0:33:29 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.4930 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5981 loss: 2.5981 2022/06/27 21:25:47 - mmengine - INFO - Epoch(train) [11][2340/3757] lr: 1.000e-02 eta: 1 day, 0:33:25 time: 0.566 data_time: 0.010 memory: 5150 grad_norm: 5.3818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1924 loss: 2.1924 2022/06/27 21:25:52 - mmengine - INFO - Epoch(train) [11][2360/3757] lr: 1.000e-02 eta: 1 day, 0:33:15 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.9192 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4989 loss: 2.4989 2022/06/27 21:25:57 - mmengine - INFO - Epoch(train) [11][2380/3757] lr: 1.000e-02 eta: 1 day, 0:33:13 time: 0.404 data_time: 0.007 memory: 5150 grad_norm: 5.0828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4633 loss: 2.4633 2022/06/27 21:26:02 - mmengine - INFO - Epoch(train) [11][2400/3757] lr: 1.000e-02 eta: 1 day, 0:33:03 time: 0.241 data_time: 0.007 memory: 5150 grad_norm: 5.4890 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3315 loss: 2.3315 2022/06/27 21:26:07 - mmengine - INFO - Epoch(train) [11][2420/3757] lr: 1.000e-02 eta: 1 day, 0:32:57 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.1906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8048 loss: 2.8048 2022/06/27 21:26:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:26:13 - mmengine - INFO - Epoch(train) [11][2440/3757] lr: 1.000e-02 eta: 1 day, 0:32:55 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.7895 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5702 loss: 2.5702 2022/06/27 21:26:19 - mmengine - INFO - Epoch(train) [11][2460/3757] lr: 1.000e-02 eta: 1 day, 0:32:53 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.0122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2692 loss: 2.2692 2022/06/27 21:26:23 - mmengine - INFO - Epoch(train) [11][2480/3757] lr: 1.000e-02 eta: 1 day, 0:32:43 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.4614 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.1932 loss: 3.1932 2022/06/27 21:26:29 - mmengine - INFO - Epoch(train) [11][2500/3757] lr: 1.000e-02 eta: 1 day, 0:32:41 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7350 loss: 2.7350 2022/06/27 21:26:35 - mmengine - INFO - Epoch(train) [11][2520/3757] lr: 1.000e-02 eta: 1 day, 0:32:39 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 5.6162 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7047 loss: 2.7047 2022/06/27 21:26:40 - mmengine - INFO - Epoch(train) [11][2540/3757] lr: 1.000e-02 eta: 1 day, 0:32:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6058 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7446 loss: 2.7446 2022/06/27 21:26:45 - mmengine - INFO - Epoch(train) [11][2560/3757] lr: 1.000e-02 eta: 1 day, 0:32:30 time: 0.231 data_time: 0.010 memory: 5150 grad_norm: 5.6759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9448 loss: 1.9448 2022/06/27 21:26:51 - mmengine - INFO - Epoch(train) [11][2580/3757] lr: 1.000e-02 eta: 1 day, 0:32:26 time: 0.615 data_time: 0.014 memory: 5150 grad_norm: 5.1746 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0823 loss: 2.0823 2022/06/27 21:26:56 - mmengine - INFO - Epoch(train) [11][2600/3757] lr: 1.000e-02 eta: 1 day, 0:32:16 time: 0.343 data_time: 0.007 memory: 5150 grad_norm: 5.4150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8815 loss: 2.8815 2022/06/27 21:27:01 - mmengine - INFO - Epoch(train) [11][2620/3757] lr: 1.000e-02 eta: 1 day, 0:32:12 time: 0.341 data_time: 0.007 memory: 5150 grad_norm: 4.9776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2988 loss: 2.2988 2022/06/27 21:27:06 - mmengine - INFO - Epoch(train) [11][2640/3757] lr: 1.000e-02 eta: 1 day, 0:32:09 time: 0.368 data_time: 0.010 memory: 5150 grad_norm: 5.2169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4610 loss: 2.4610 2022/06/27 21:27:12 - mmengine - INFO - Epoch(train) [11][2660/3757] lr: 1.000e-02 eta: 1 day, 0:32:05 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6389 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0524 loss: 2.0524 2022/06/27 21:27:17 - mmengine - INFO - Epoch(train) [11][2680/3757] lr: 1.000e-02 eta: 1 day, 0:32:01 time: 0.440 data_time: 0.011 memory: 5150 grad_norm: 5.3595 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3665 loss: 2.3665 2022/06/27 21:27:23 - mmengine - INFO - Epoch(train) [11][2700/3757] lr: 1.000e-02 eta: 1 day, 0:31:55 time: 0.597 data_time: 0.010 memory: 5150 grad_norm: 5.6492 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3038 loss: 2.3038 2022/06/27 21:27:28 - mmengine - INFO - Epoch(train) [11][2720/3757] lr: 1.000e-02 eta: 1 day, 0:31:54 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.1343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/06/27 21:27:33 - mmengine - INFO - Epoch(train) [11][2740/3757] lr: 1.000e-02 eta: 1 day, 0:31:42 time: 0.532 data_time: 0.007 memory: 5150 grad_norm: 5.0494 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9266 loss: 2.9266 2022/06/27 21:27:38 - mmengine - INFO - Epoch(train) [11][2760/3757] lr: 1.000e-02 eta: 1 day, 0:31:38 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.0063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2914 loss: 2.2914 2022/06/27 21:27:43 - mmengine - INFO - Epoch(train) [11][2780/3757] lr: 1.000e-02 eta: 1 day, 0:31:31 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7663 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1630 loss: 2.1630 2022/06/27 21:27:49 - mmengine - INFO - Epoch(train) [11][2800/3757] lr: 1.000e-02 eta: 1 day, 0:31:31 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4554 loss: 2.4554 2022/06/27 21:27:54 - mmengine - INFO - Epoch(train) [11][2820/3757] lr: 1.000e-02 eta: 1 day, 0:31:23 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.2640 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2197 loss: 2.2197 2022/06/27 21:27:59 - mmengine - INFO - Epoch(train) [11][2840/3757] lr: 1.000e-02 eta: 1 day, 0:31:17 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 5.3367 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2113 loss: 2.2113 2022/06/27 21:28:05 - mmengine - INFO - Epoch(train) [11][2860/3757] lr: 1.000e-02 eta: 1 day, 0:31:15 time: 0.536 data_time: 0.007 memory: 5150 grad_norm: 5.4338 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6986 loss: 2.6986 2022/06/27 21:28:11 - mmengine - INFO - Epoch(train) [11][2880/3757] lr: 1.000e-02 eta: 1 day, 0:31:12 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5133 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4969 loss: 2.4969 2022/06/27 21:28:16 - mmengine - INFO - Epoch(train) [11][2900/3757] lr: 1.000e-02 eta: 1 day, 0:31:05 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 5.8682 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5258 loss: 2.5258 2022/06/27 21:28:21 - mmengine - INFO - Epoch(train) [11][2920/3757] lr: 1.000e-02 eta: 1 day, 0:31:05 time: 0.735 data_time: 0.011 memory: 5150 grad_norm: 5.8964 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.4235 loss: 2.4235 2022/06/27 21:28:27 - mmengine - INFO - Epoch(train) [11][2940/3757] lr: 1.000e-02 eta: 1 day, 0:31:01 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.8175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6569 loss: 2.6569 2022/06/27 21:28:32 - mmengine - INFO - Epoch(train) [11][2960/3757] lr: 1.000e-02 eta: 1 day, 0:30:57 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6641 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4264 loss: 2.4264 2022/06/27 21:28:38 - mmengine - INFO - Epoch(train) [11][2980/3757] lr: 1.000e-02 eta: 1 day, 0:30:54 time: 1.103 data_time: 0.007 memory: 5150 grad_norm: 5.7401 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1064 loss: 2.1064 2022/06/27 21:28:43 - mmengine - INFO - Epoch(train) [11][3000/3757] lr: 1.000e-02 eta: 1 day, 0:30:46 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2738 loss: 2.2738 2022/06/27 21:28:48 - mmengine - INFO - Epoch(train) [11][3020/3757] lr: 1.000e-02 eta: 1 day, 0:30:43 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 5.4719 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2424 loss: 2.2424 2022/06/27 21:28:54 - mmengine - INFO - Epoch(train) [11][3040/3757] lr: 1.000e-02 eta: 1 day, 0:30:41 time: 1.548 data_time: 0.008 memory: 5150 grad_norm: 5.4619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3079 loss: 2.3079 2022/06/27 21:28:59 - mmengine - INFO - Epoch(train) [11][3060/3757] lr: 1.000e-02 eta: 1 day, 0:30:30 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.5274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8799 loss: 2.8799 2022/06/27 21:29:04 - mmengine - INFO - Epoch(train) [11][3080/3757] lr: 1.000e-02 eta: 1 day, 0:30:27 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.6170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4780 loss: 2.4780 2022/06/27 21:29:10 - mmengine - INFO - Epoch(train) [11][3100/3757] lr: 1.000e-02 eta: 1 day, 0:30:24 time: 0.810 data_time: 0.007 memory: 5150 grad_norm: 5.8367 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1929 loss: 2.1929 2022/06/27 21:29:15 - mmengine - INFO - Epoch(train) [11][3120/3757] lr: 1.000e-02 eta: 1 day, 0:30:18 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.1187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1558 loss: 2.1558 2022/06/27 21:29:21 - mmengine - INFO - Epoch(train) [11][3140/3757] lr: 1.000e-02 eta: 1 day, 0:30:18 time: 0.226 data_time: 0.006 memory: 5150 grad_norm: 5.0043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0637 loss: 2.0637 2022/06/27 21:29:27 - mmengine - INFO - Epoch(train) [11][3160/3757] lr: 1.000e-02 eta: 1 day, 0:30:19 time: 1.851 data_time: 0.007 memory: 5150 grad_norm: 5.3735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5310 loss: 2.5310 2022/06/27 21:29:31 - mmengine - INFO - Epoch(train) [11][3180/3757] lr: 1.000e-02 eta: 1 day, 0:30:04 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.8481 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.8688 loss: 2.8688 2022/06/27 21:29:35 - mmengine - INFO - Epoch(train) [11][3200/3757] lr: 1.000e-02 eta: 1 day, 0:29:52 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 5.8319 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1110 loss: 2.1110 2022/06/27 21:29:41 - mmengine - INFO - Epoch(train) [11][3220/3757] lr: 1.000e-02 eta: 1 day, 0:29:50 time: 0.838 data_time: 0.006 memory: 5150 grad_norm: 5.5451 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5322 loss: 2.5322 2022/06/27 21:29:46 - mmengine - INFO - Epoch(train) [11][3240/3757] lr: 1.000e-02 eta: 1 day, 0:29:43 time: 0.308 data_time: 0.025 memory: 5150 grad_norm: 5.3990 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7006 loss: 2.7006 2022/06/27 21:29:52 - mmengine - INFO - Epoch(train) [11][3260/3757] lr: 1.000e-02 eta: 1 day, 0:29:40 time: 0.210 data_time: 0.034 memory: 5150 grad_norm: 5.3531 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3486 loss: 2.3486 2022/06/27 21:29:57 - mmengine - INFO - Epoch(train) [11][3280/3757] lr: 1.000e-02 eta: 1 day, 0:29:38 time: 0.788 data_time: 0.006 memory: 5150 grad_norm: 5.6331 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3240 loss: 2.3240 2022/06/27 21:30:02 - mmengine - INFO - Epoch(train) [11][3300/3757] lr: 1.000e-02 eta: 1 day, 0:29:29 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3872 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9033 loss: 1.9033 2022/06/27 21:30:08 - mmengine - INFO - Epoch(train) [11][3320/3757] lr: 1.000e-02 eta: 1 day, 0:29:29 time: 0.197 data_time: 0.028 memory: 5150 grad_norm: 5.2966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4426 loss: 2.4426 2022/06/27 21:30:14 - mmengine - INFO - Epoch(train) [11][3340/3757] lr: 1.000e-02 eta: 1 day, 0:29:30 time: 1.244 data_time: 0.007 memory: 5150 grad_norm: 5.8632 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3771 loss: 2.3771 2022/06/27 21:30:19 - mmengine - INFO - Epoch(train) [11][3360/3757] lr: 1.000e-02 eta: 1 day, 0:29:21 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.2787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5478 loss: 2.5478 2022/06/27 21:30:25 - mmengine - INFO - Epoch(train) [11][3380/3757] lr: 1.000e-02 eta: 1 day, 0:29:23 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 5.3155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1452 loss: 2.1452 2022/06/27 21:30:30 - mmengine - INFO - Epoch(train) [11][3400/3757] lr: 1.000e-02 eta: 1 day, 0:29:17 time: 1.018 data_time: 0.007 memory: 5150 grad_norm: 5.2233 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3218 loss: 2.3218 2022/06/27 21:30:35 - mmengine - INFO - Epoch(train) [11][3420/3757] lr: 1.000e-02 eta: 1 day, 0:29:06 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.3038 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3668 loss: 2.3668 2022/06/27 21:30:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:30:40 - mmengine - INFO - Epoch(train) [11][3440/3757] lr: 1.000e-02 eta: 1 day, 0:29:02 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.2341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5415 loss: 2.5415 2022/06/27 21:30:46 - mmengine - INFO - Epoch(train) [11][3460/3757] lr: 1.000e-02 eta: 1 day, 0:28:58 time: 0.773 data_time: 0.006 memory: 5150 grad_norm: 5.4004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2037 loss: 2.2037 2022/06/27 21:30:51 - mmengine - INFO - Epoch(train) [11][3480/3757] lr: 1.000e-02 eta: 1 day, 0:28:52 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.0181 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0411 loss: 2.0411 2022/06/27 21:30:56 - mmengine - INFO - Epoch(train) [11][3500/3757] lr: 1.000e-02 eta: 1 day, 0:28:45 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.1259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2904 loss: 2.2904 2022/06/27 21:31:01 - mmengine - INFO - Epoch(train) [11][3520/3757] lr: 1.000e-02 eta: 1 day, 0:28:39 time: 0.501 data_time: 0.007 memory: 5150 grad_norm: 5.6766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3572 loss: 2.3572 2022/06/27 21:31:06 - mmengine - INFO - Epoch(train) [11][3540/3757] lr: 1.000e-02 eta: 1 day, 0:28:29 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.0065 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1558 loss: 2.1558 2022/06/27 21:31:12 - mmengine - INFO - Epoch(train) [11][3560/3757] lr: 1.000e-02 eta: 1 day, 0:28:28 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.7740 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4753 loss: 2.4753 2022/06/27 21:31:17 - mmengine - INFO - Epoch(train) [11][3580/3757] lr: 1.000e-02 eta: 1 day, 0:28:26 time: 1.111 data_time: 0.007 memory: 5150 grad_norm: 5.9011 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3860 loss: 2.3860 2022/06/27 21:31:22 - mmengine - INFO - Epoch(train) [11][3600/3757] lr: 1.000e-02 eta: 1 day, 0:28:19 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4094 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6883 loss: 2.6883 2022/06/27 21:31:28 - mmengine - INFO - Epoch(train) [11][3620/3757] lr: 1.000e-02 eta: 1 day, 0:28:14 time: 0.248 data_time: 0.006 memory: 5150 grad_norm: 5.7736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9789 loss: 1.9789 2022/06/27 21:31:33 - mmengine - INFO - Epoch(train) [11][3640/3757] lr: 1.000e-02 eta: 1 day, 0:28:13 time: 1.007 data_time: 0.007 memory: 5150 grad_norm: 5.6278 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2179 loss: 2.2179 2022/06/27 21:31:38 - mmengine - INFO - Epoch(train) [11][3660/3757] lr: 1.000e-02 eta: 1 day, 0:28:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5816 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6170 loss: 2.6170 2022/06/27 21:31:43 - mmengine - INFO - Epoch(train) [11][3680/3757] lr: 1.000e-02 eta: 1 day, 0:27:58 time: 0.637 data_time: 0.006 memory: 5150 grad_norm: 5.4461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2466 loss: 2.2466 2022/06/27 21:31:49 - mmengine - INFO - Epoch(train) [11][3700/3757] lr: 1.000e-02 eta: 1 day, 0:27:53 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.5562 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4608 loss: 2.4608 2022/06/27 21:31:53 - mmengine - INFO - Epoch(train) [11][3720/3757] lr: 1.000e-02 eta: 1 day, 0:27:40 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7900 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2704 loss: 2.2704 2022/06/27 21:31:58 - mmengine - INFO - Epoch(train) [11][3740/3757] lr: 1.000e-02 eta: 1 day, 0:27:37 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.8469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1417 loss: 2.1417 2022/06/27 21:32:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:32:35 - mmengine - INFO - Epoch(val) [11][20/310] eta: 0:05:45 time: 1.051 data_time: 0.406 memory: 9746 2022/06/27 21:32:57 - mmengine - INFO - Epoch(val) [11][40/310] eta: 0:04:42 time: 1.085 data_time: 0.441 memory: 9746 2022/06/27 21:33:21 - mmengine - INFO - Epoch(val) [11][60/310] eta: 0:04:26 time: 1.058 data_time: 0.432 memory: 9746 2022/06/27 21:33:44 - mmengine - INFO - Epoch(val) [11][80/310] eta: 0:04:06 time: 1.078 data_time: 0.418 memory: 9746 2022/06/27 21:34:07 - mmengine - INFO - Epoch(val) [11][100/310] eta: 0:04:08 time: 2.189 data_time: 1.265 memory: 9746 2022/06/27 21:34:28 - mmengine - INFO - Epoch(val) [11][120/310] eta: 0:03:25 time: 1.087 data_time: 0.418 memory: 9746 2022/06/27 21:34:52 - mmengine - INFO - Epoch(val) [11][140/310] eta: 0:03:17 time: 1.028 data_time: 0.401 memory: 9746 2022/06/27 21:35:17 - mmengine - INFO - Epoch(val) [11][160/310] eta: 0:03:26 time: 4.200 data_time: 2.944 memory: 9746 2022/06/27 21:35:40 - mmengine - INFO - Epoch(val) [11][180/310] eta: 0:02:32 time: 0.963 data_time: 0.316 memory: 9746 2022/06/27 21:36:02 - mmengine - INFO - Epoch(val) [11][200/310] eta: 0:02:08 time: 1.127 data_time: 0.478 memory: 9746 2022/06/27 21:36:24 - mmengine - INFO - Epoch(val) [11][220/310] eta: 0:01:39 time: 1.206 data_time: 0.568 memory: 9746 2022/06/27 21:36:46 - mmengine - INFO - Epoch(val) [11][240/310] eta: 0:01:16 time: 1.062 data_time: 0.409 memory: 9746 2022/06/27 21:37:09 - mmengine - INFO - Epoch(val) [11][260/310] eta: 0:01:00 time: 0.978 data_time: 0.330 memory: 9746 2022/06/27 21:37:32 - mmengine - INFO - Epoch(val) [11][280/310] eta: 0:00:35 time: 1.557 data_time: 0.903 memory: 9746 2022/06/27 21:37:52 - mmengine - INFO - Epoch(val) [11][300/310] eta: 0:00:09 time: 0.677 data_time: 0.097 memory: 9746 2022/06/27 21:38:04 - mmengine - INFO - Epoch(val) [11][310/310] acc/top1: 0.5631 acc/top5: 0.8100 acc/mean1: 0.5630 2022/06/27 21:38:13 - mmengine - INFO - Epoch(train) [12][20/3757] lr: 1.000e-02 eta: 1 day, 0:27:30 time: 0.201 data_time: 0.007 memory: 9746 grad_norm: 5.3932 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2590 loss: 2.2590 2022/06/27 21:38:19 - mmengine - INFO - Epoch(train) [12][40/3757] lr: 1.000e-02 eta: 1 day, 0:27:33 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6181 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2385 loss: 2.2385 2022/06/27 21:38:24 - mmengine - INFO - Epoch(train) [12][60/3757] lr: 1.000e-02 eta: 1 day, 0:27:24 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.3020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1559 loss: 2.1559 2022/06/27 21:38:29 - mmengine - INFO - Epoch(train) [12][80/3757] lr: 1.000e-02 eta: 1 day, 0:27:21 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.8015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1245 loss: 2.1245 2022/06/27 21:38:35 - mmengine - INFO - Epoch(train) [12][100/3757] lr: 1.000e-02 eta: 1 day, 0:27:19 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.3751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0611 loss: 2.0611 2022/06/27 21:38:40 - mmengine - INFO - Epoch(train) [12][120/3757] lr: 1.000e-02 eta: 1 day, 0:27:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5535 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5676 loss: 2.5676 2022/06/27 21:38:45 - mmengine - INFO - Epoch(train) [12][140/3757] lr: 1.000e-02 eta: 1 day, 0:27:08 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.7156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6054 loss: 2.6054 2022/06/27 21:38:51 - mmengine - INFO - Epoch(train) [12][160/3757] lr: 1.000e-02 eta: 1 day, 0:27:05 time: 0.373 data_time: 0.007 memory: 5150 grad_norm: 4.5945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4257 loss: 2.4257 2022/06/27 21:38:55 - mmengine - INFO - Epoch(train) [12][180/3757] lr: 1.000e-02 eta: 1 day, 0:26:55 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 5.4987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1266 loss: 2.1266 2022/06/27 21:39:01 - mmengine - INFO - Epoch(train) [12][200/3757] lr: 1.000e-02 eta: 1 day, 0:26:51 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.7084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3492 loss: 2.3492 2022/06/27 21:39:07 - mmengine - INFO - Epoch(train) [12][220/3757] lr: 1.000e-02 eta: 1 day, 0:26:51 time: 0.305 data_time: 0.007 memory: 5150 grad_norm: 5.4039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8538 loss: 1.8538 2022/06/27 21:39:12 - mmengine - INFO - Epoch(train) [12][240/3757] lr: 1.000e-02 eta: 1 day, 0:26:42 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4346 loss: 2.4346 2022/06/27 21:39:18 - mmengine - INFO - Epoch(train) [12][260/3757] lr: 1.000e-02 eta: 1 day, 0:26:44 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3848 loss: 2.3848 2022/06/27 21:39:23 - mmengine - INFO - Epoch(train) [12][280/3757] lr: 1.000e-02 eta: 1 day, 0:26:34 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.3249 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3922 loss: 2.3922 2022/06/27 21:39:29 - mmengine - INFO - Epoch(train) [12][300/3757] lr: 1.000e-02 eta: 1 day, 0:26:36 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 5.1661 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3384 loss: 2.3384 2022/06/27 21:39:33 - mmengine - INFO - Epoch(train) [12][320/3757] lr: 1.000e-02 eta: 1 day, 0:26:24 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3959 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7396 loss: 2.7396 2022/06/27 21:39:39 - mmengine - INFO - Epoch(train) [12][340/3757] lr: 1.000e-02 eta: 1 day, 0:26:23 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.3372 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5158 loss: 2.5158 2022/06/27 21:39:44 - mmengine - INFO - Epoch(train) [12][360/3757] lr: 1.000e-02 eta: 1 day, 0:26:14 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1758 loss: 2.1758 2022/06/27 21:39:49 - mmengine - INFO - Epoch(train) [12][380/3757] lr: 1.000e-02 eta: 1 day, 0:26:09 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.1145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3355 loss: 2.3355 2022/06/27 21:39:55 - mmengine - INFO - Epoch(train) [12][400/3757] lr: 1.000e-02 eta: 1 day, 0:26:08 time: 0.191 data_time: 0.013 memory: 5150 grad_norm: 6.1471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9468 loss: 1.9468 2022/06/27 21:40:00 - mmengine - INFO - Epoch(train) [12][420/3757] lr: 1.000e-02 eta: 1 day, 0:26:00 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7061 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1874 loss: 2.1874 2022/06/27 21:40:05 - mmengine - INFO - Epoch(train) [12][440/3757] lr: 1.000e-02 eta: 1 day, 0:25:57 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.0400 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4723 loss: 2.4723 2022/06/27 21:40:11 - mmengine - INFO - Epoch(train) [12][460/3757] lr: 1.000e-02 eta: 1 day, 0:25:57 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.3563 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6928 loss: 2.6928 2022/06/27 21:40:15 - mmengine - INFO - Epoch(train) [12][480/3757] lr: 1.000e-02 eta: 1 day, 0:25:42 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.7214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1834 loss: 2.1834 2022/06/27 21:40:21 - mmengine - INFO - Epoch(train) [12][500/3757] lr: 1.000e-02 eta: 1 day, 0:25:39 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7670 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9364 loss: 1.9364 2022/06/27 21:40:27 - mmengine - INFO - Epoch(train) [12][520/3757] lr: 1.000e-02 eta: 1 day, 0:25:37 time: 0.916 data_time: 0.744 memory: 5150 grad_norm: 5.5018 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3144 loss: 2.3144 2022/06/27 21:40:31 - mmengine - INFO - Epoch(train) [12][540/3757] lr: 1.000e-02 eta: 1 day, 0:25:27 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.2676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1153 loss: 2.1153 2022/06/27 21:40:37 - mmengine - INFO - Epoch(train) [12][560/3757] lr: 1.000e-02 eta: 1 day, 0:25:25 time: 0.247 data_time: 0.007 memory: 5150 grad_norm: 5.0239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1177 loss: 2.1177 2022/06/27 21:40:43 - mmengine - INFO - Epoch(train) [12][580/3757] lr: 1.000e-02 eta: 1 day, 0:25:23 time: 0.911 data_time: 0.745 memory: 5150 grad_norm: 5.2956 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0596 loss: 2.0596 2022/06/27 21:40:48 - mmengine - INFO - Epoch(train) [12][600/3757] lr: 1.000e-02 eta: 1 day, 0:25:17 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.3875 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3655 loss: 2.3655 2022/06/27 21:40:53 - mmengine - INFO - Epoch(train) [12][620/3757] lr: 1.000e-02 eta: 1 day, 0:25:13 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.1051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1324 loss: 2.1324 2022/06/27 21:40:59 - mmengine - INFO - Epoch(train) [12][640/3757] lr: 1.000e-02 eta: 1 day, 0:25:14 time: 1.334 data_time: 1.166 memory: 5150 grad_norm: 5.9671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4713 loss: 2.4713 2022/06/27 21:41:04 - mmengine - INFO - Epoch(train) [12][660/3757] lr: 1.000e-02 eta: 1 day, 0:25:04 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2721 loss: 2.2721 2022/06/27 21:41:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:41:09 - mmengine - INFO - Epoch(train) [12][680/3757] lr: 1.000e-02 eta: 1 day, 0:25:01 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.7101 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6338 loss: 2.6338 2022/06/27 21:41:15 - mmengine - INFO - Epoch(train) [12][700/3757] lr: 1.000e-02 eta: 1 day, 0:24:57 time: 0.804 data_time: 0.632 memory: 5150 grad_norm: 5.4902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0638 loss: 2.0638 2022/06/27 21:41:20 - mmengine - INFO - Epoch(train) [12][720/3757] lr: 1.000e-02 eta: 1 day, 0:24:49 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.5586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4722 loss: 2.4722 2022/06/27 21:41:25 - mmengine - INFO - Epoch(train) [12][740/3757] lr: 1.000e-02 eta: 1 day, 0:24:47 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 6.4172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2788 loss: 2.2788 2022/06/27 21:41:31 - mmengine - INFO - Epoch(train) [12][760/3757] lr: 1.000e-02 eta: 1 day, 0:24:44 time: 0.604 data_time: 0.439 memory: 5150 grad_norm: 5.2277 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5376 loss: 2.5376 2022/06/27 21:41:36 - mmengine - INFO - Epoch(train) [12][780/3757] lr: 1.000e-02 eta: 1 day, 0:24:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5514 loss: 2.5514 2022/06/27 21:41:42 - mmengine - INFO - Epoch(train) [12][800/3757] lr: 1.000e-02 eta: 1 day, 0:24:33 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.5389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6511 loss: 2.6511 2022/06/27 21:41:47 - mmengine - INFO - Epoch(train) [12][820/3757] lr: 1.000e-02 eta: 1 day, 0:24:26 time: 0.869 data_time: 0.698 memory: 5150 grad_norm: 4.7570 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.9039 loss: 2.9039 2022/06/27 21:41:52 - mmengine - INFO - Epoch(train) [12][840/3757] lr: 1.000e-02 eta: 1 day, 0:24:18 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 5.8399 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2389 loss: 2.2389 2022/06/27 21:41:57 - mmengine - INFO - Epoch(train) [12][860/3757] lr: 1.000e-02 eta: 1 day, 0:24:14 time: 0.367 data_time: 0.021 memory: 5150 grad_norm: 5.5207 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2373 loss: 2.2373 2022/06/27 21:42:02 - mmengine - INFO - Epoch(train) [12][880/3757] lr: 1.000e-02 eta: 1 day, 0:24:08 time: 0.261 data_time: 0.089 memory: 5150 grad_norm: 5.7705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4179 loss: 2.4179 2022/06/27 21:42:07 - mmengine - INFO - Epoch(train) [12][900/3757] lr: 1.000e-02 eta: 1 day, 0:24:03 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7461 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3724 loss: 2.3724 2022/06/27 21:42:13 - mmengine - INFO - Epoch(train) [12][920/3757] lr: 1.000e-02 eta: 1 day, 0:23:58 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 5.5905 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4722 loss: 2.4722 2022/06/27 21:42:19 - mmengine - INFO - Epoch(train) [12][940/3757] lr: 1.000e-02 eta: 1 day, 0:23:57 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 5.1621 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2747 loss: 2.2747 2022/06/27 21:42:23 - mmengine - INFO - Epoch(train) [12][960/3757] lr: 1.000e-02 eta: 1 day, 0:23:47 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.8603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9638 loss: 1.9638 2022/06/27 21:42:29 - mmengine - INFO - Epoch(train) [12][980/3757] lr: 1.000e-02 eta: 1 day, 0:23:45 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 5.1982 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4189 loss: 2.4189 2022/06/27 21:42:35 - mmengine - INFO - Epoch(train) [12][1000/3757] lr: 1.000e-02 eta: 1 day, 0:23:43 time: 0.682 data_time: 0.514 memory: 5150 grad_norm: 5.4072 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7919 loss: 2.7919 2022/06/27 21:42:40 - mmengine - INFO - Epoch(train) [12][1020/3757] lr: 1.000e-02 eta: 1 day, 0:23:38 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.9462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4068 loss: 2.4068 2022/06/27 21:42:46 - mmengine - INFO - Epoch(train) [12][1040/3757] lr: 1.000e-02 eta: 1 day, 0:23:35 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 4.9413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2027 loss: 2.2027 2022/06/27 21:42:51 - mmengine - INFO - Epoch(train) [12][1060/3757] lr: 1.000e-02 eta: 1 day, 0:23:30 time: 0.654 data_time: 0.486 memory: 5150 grad_norm: 5.1765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4913 loss: 2.4913 2022/06/27 21:42:55 - mmengine - INFO - Epoch(train) [12][1080/3757] lr: 1.000e-02 eta: 1 day, 0:23:20 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.1236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3223 loss: 2.3223 2022/06/27 21:43:01 - mmengine - INFO - Epoch(train) [12][1100/3757] lr: 1.000e-02 eta: 1 day, 0:23:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.3020 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1429 loss: 2.1429 2022/06/27 21:43:07 - mmengine - INFO - Epoch(train) [12][1120/3757] lr: 1.000e-02 eta: 1 day, 0:23:13 time: 0.584 data_time: 0.409 memory: 5150 grad_norm: 6.1483 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8189 loss: 2.8189 2022/06/27 21:43:12 - mmengine - INFO - Epoch(train) [12][1140/3757] lr: 1.000e-02 eta: 1 day, 0:23:07 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 7.0661 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6732 loss: 2.6732 2022/06/27 21:43:17 - mmengine - INFO - Epoch(train) [12][1160/3757] lr: 1.000e-02 eta: 1 day, 0:22:59 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1281 loss: 2.1281 2022/06/27 21:43:22 - mmengine - INFO - Epoch(train) [12][1180/3757] lr: 1.000e-02 eta: 1 day, 0:22:58 time: 0.197 data_time: 0.024 memory: 5150 grad_norm: 6.0073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8098 loss: 2.8098 2022/06/27 21:43:29 - mmengine - INFO - Epoch(train) [12][1200/3757] lr: 1.000e-02 eta: 1 day, 0:23:02 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.0545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/06/27 21:43:33 - mmengine - INFO - Epoch(train) [12][1220/3757] lr: 1.000e-02 eta: 1 day, 0:22:48 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.3959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1589 loss: 2.1589 2022/06/27 21:43:39 - mmengine - INFO - Epoch(train) [12][1240/3757] lr: 1.000e-02 eta: 1 day, 0:22:46 time: 0.200 data_time: 0.021 memory: 5150 grad_norm: 5.4200 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0644 loss: 2.0644 2022/06/27 21:43:44 - mmengine - INFO - Epoch(train) [12][1260/3757] lr: 1.000e-02 eta: 1 day, 0:22:43 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.1975 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9348 loss: 1.9348 2022/06/27 21:43:49 - mmengine - INFO - Epoch(train) [12][1280/3757] lr: 1.000e-02 eta: 1 day, 0:22:33 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1797 loss: 2.1797 2022/06/27 21:43:55 - mmengine - INFO - Epoch(train) [12][1300/3757] lr: 1.000e-02 eta: 1 day, 0:22:32 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.3635 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1879 loss: 2.1879 2022/06/27 21:44:01 - mmengine - INFO - Epoch(train) [12][1320/3757] lr: 1.000e-02 eta: 1 day, 0:22:34 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.4002 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4903 loss: 2.4903 2022/06/27 21:44:05 - mmengine - INFO - Epoch(train) [12][1340/3757] lr: 1.000e-02 eta: 1 day, 0:22:20 time: 0.213 data_time: 0.020 memory: 5150 grad_norm: 5.1403 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8648 loss: 1.8648 2022/06/27 21:44:09 - mmengine - INFO - Epoch(train) [12][1360/3757] lr: 1.000e-02 eta: 1 day, 0:22:06 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.8887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9634 loss: 1.9634 2022/06/27 21:44:14 - mmengine - INFO - Epoch(train) [12][1380/3757] lr: 1.000e-02 eta: 1 day, 0:22:00 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.3873 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3459 loss: 2.3459 2022/06/27 21:44:20 - mmengine - INFO - Epoch(train) [12][1400/3757] lr: 1.000e-02 eta: 1 day, 0:21:58 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 4.9004 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8992 loss: 1.8992 2022/06/27 21:44:26 - mmengine - INFO - Epoch(train) [12][1420/3757] lr: 1.000e-02 eta: 1 day, 0:21:55 time: 0.900 data_time: 0.010 memory: 5150 grad_norm: 6.0397 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9374 loss: 1.9374 2022/06/27 21:44:31 - mmengine - INFO - Epoch(train) [12][1440/3757] lr: 1.000e-02 eta: 1 day, 0:21:49 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2631 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6592 loss: 2.6592 2022/06/27 21:44:36 - mmengine - INFO - Epoch(train) [12][1460/3757] lr: 1.000e-02 eta: 1 day, 0:21:43 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 4.8298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1638 loss: 2.1638 2022/06/27 21:44:42 - mmengine - INFO - Epoch(train) [12][1480/3757] lr: 1.000e-02 eta: 1 day, 0:21:40 time: 0.627 data_time: 0.007 memory: 5150 grad_norm: 6.0599 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1295 loss: 2.1295 2022/06/27 21:44:47 - mmengine - INFO - Epoch(train) [12][1500/3757] lr: 1.000e-02 eta: 1 day, 0:21:32 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.2826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3230 loss: 2.3230 2022/06/27 21:44:52 - mmengine - INFO - Epoch(train) [12][1520/3757] lr: 1.000e-02 eta: 1 day, 0:21:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8391 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6958 loss: 2.6958 2022/06/27 21:44:58 - mmengine - INFO - Epoch(train) [12][1540/3757] lr: 1.000e-02 eta: 1 day, 0:21:31 time: 1.283 data_time: 0.008 memory: 5150 grad_norm: 5.3436 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2385 loss: 2.2385 2022/06/27 21:45:03 - mmengine - INFO - Epoch(train) [12][1560/3757] lr: 1.000e-02 eta: 1 day, 0:21:23 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2002 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5684 loss: 2.5684 2022/06/27 21:45:09 - mmengine - INFO - Epoch(train) [12][1580/3757] lr: 1.000e-02 eta: 1 day, 0:21:20 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.7400 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2237 loss: 2.2237 2022/06/27 21:45:14 - mmengine - INFO - Epoch(train) [12][1600/3757] lr: 1.000e-02 eta: 1 day, 0:21:15 time: 0.433 data_time: 0.007 memory: 5150 grad_norm: 5.5192 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4870 loss: 2.4870 2022/06/27 21:45:19 - mmengine - INFO - Epoch(train) [12][1620/3757] lr: 1.000e-02 eta: 1 day, 0:21:11 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.1648 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3903 loss: 2.3903 2022/06/27 21:45:25 - mmengine - INFO - Epoch(train) [12][1640/3757] lr: 1.000e-02 eta: 1 day, 0:21:05 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3951 loss: 2.3951 2022/06/27 21:45:30 - mmengine - INFO - Epoch(train) [12][1660/3757] lr: 1.000e-02 eta: 1 day, 0:21:02 time: 0.747 data_time: 0.007 memory: 5150 grad_norm: 5.3497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0474 loss: 2.0474 2022/06/27 21:45:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:45:35 - mmengine - INFO - Epoch(train) [12][1680/3757] lr: 1.000e-02 eta: 1 day, 0:20:56 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.2461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9571 loss: 1.9571 2022/06/27 21:45:41 - mmengine - INFO - Epoch(train) [12][1700/3757] lr: 1.000e-02 eta: 1 day, 0:20:52 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 5.5697 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0337 loss: 2.0337 2022/06/27 21:45:46 - mmengine - INFO - Epoch(train) [12][1720/3757] lr: 1.000e-02 eta: 1 day, 0:20:46 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 4.9465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4375 loss: 2.4375 2022/06/27 21:45:51 - mmengine - INFO - Epoch(train) [12][1740/3757] lr: 1.000e-02 eta: 1 day, 0:20:42 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.8187 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3128 loss: 2.3128 2022/06/27 21:45:57 - mmengine - INFO - Epoch(train) [12][1760/3757] lr: 1.000e-02 eta: 1 day, 0:20:41 time: 0.225 data_time: 0.013 memory: 5150 grad_norm: 5.0624 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0279 loss: 2.0279 2022/06/27 21:46:02 - mmengine - INFO - Epoch(train) [12][1780/3757] lr: 1.000e-02 eta: 1 day, 0:20:35 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.4341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0125 loss: 2.0125 2022/06/27 21:46:08 - mmengine - INFO - Epoch(train) [12][1800/3757] lr: 1.000e-02 eta: 1 day, 0:20:31 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 4.8636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4304 loss: 2.4304 2022/06/27 21:46:14 - mmengine - INFO - Epoch(train) [12][1820/3757] lr: 1.000e-02 eta: 1 day, 0:20:28 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 4.7012 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2051 loss: 2.2051 2022/06/27 21:46:18 - mmengine - INFO - Epoch(train) [12][1840/3757] lr: 1.000e-02 eta: 1 day, 0:20:20 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.3022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0926 loss: 2.0926 2022/06/27 21:46:24 - mmengine - INFO - Epoch(train) [12][1860/3757] lr: 1.000e-02 eta: 1 day, 0:20:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.8509 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0788 loss: 2.0788 2022/06/27 21:46:30 - mmengine - INFO - Epoch(train) [12][1880/3757] lr: 1.000e-02 eta: 1 day, 0:20:17 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 5.1762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1534 loss: 2.1534 2022/06/27 21:46:34 - mmengine - INFO - Epoch(train) [12][1900/3757] lr: 1.000e-02 eta: 1 day, 0:20:04 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.8330 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7381 loss: 2.7381 2022/06/27 21:46:40 - mmengine - INFO - Epoch(train) [12][1920/3757] lr: 1.000e-02 eta: 1 day, 0:20:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7553 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5825 loss: 2.5825 2022/06/27 21:46:46 - mmengine - INFO - Epoch(train) [12][1940/3757] lr: 1.000e-02 eta: 1 day, 0:20:00 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 6.0449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4735 loss: 2.4735 2022/06/27 21:46:51 - mmengine - INFO - Epoch(train) [12][1960/3757] lr: 1.000e-02 eta: 1 day, 0:19:52 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.8996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0667 loss: 2.0667 2022/06/27 21:46:56 - mmengine - INFO - Epoch(train) [12][1980/3757] lr: 1.000e-02 eta: 1 day, 0:19:48 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.5945 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1200 loss: 2.1200 2022/06/27 21:47:01 - mmengine - INFO - Epoch(train) [12][2000/3757] lr: 1.000e-02 eta: 1 day, 0:19:44 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.7905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2606 loss: 2.2606 2022/06/27 21:47:06 - mmengine - INFO - Epoch(train) [12][2020/3757] lr: 1.000e-02 eta: 1 day, 0:19:36 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.4354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2756 loss: 2.2756 2022/06/27 21:47:12 - mmengine - INFO - Epoch(train) [12][2040/3757] lr: 1.000e-02 eta: 1 day, 0:19:31 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5978 loss: 2.5978 2022/06/27 21:47:17 - mmengine - INFO - Epoch(train) [12][2060/3757] lr: 1.000e-02 eta: 1 day, 0:19:26 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 6.1231 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3131 loss: 2.3131 2022/06/27 21:47:22 - mmengine - INFO - Epoch(train) [12][2080/3757] lr: 1.000e-02 eta: 1 day, 0:19:19 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.4745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0190 loss: 2.0190 2022/06/27 21:47:29 - mmengine - INFO - Epoch(train) [12][2100/3757] lr: 1.000e-02 eta: 1 day, 0:19:25 time: 1.643 data_time: 0.007 memory: 5150 grad_norm: 5.5609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3402 loss: 2.3402 2022/06/27 21:47:33 - mmengine - INFO - Epoch(train) [12][2120/3757] lr: 1.000e-02 eta: 1 day, 0:19:11 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8320 loss: 2.8320 2022/06/27 21:47:38 - mmengine - INFO - Epoch(train) [12][2140/3757] lr: 1.000e-02 eta: 1 day, 0:19:01 time: 0.237 data_time: 0.033 memory: 5150 grad_norm: 5.2877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2518 loss: 2.2518 2022/06/27 21:47:43 - mmengine - INFO - Epoch(train) [12][2160/3757] lr: 1.000e-02 eta: 1 day, 0:18:57 time: 0.363 data_time: 0.007 memory: 5150 grad_norm: 5.5284 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4224 loss: 2.4224 2022/06/27 21:47:50 - mmengine - INFO - Epoch(train) [12][2180/3757] lr: 1.000e-02 eta: 1 day, 0:19:03 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1698 loss: 2.1698 2022/06/27 21:47:54 - mmengine - INFO - Epoch(train) [12][2200/3757] lr: 1.000e-02 eta: 1 day, 0:18:49 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.3053 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2704 loss: 2.2704 2022/06/27 21:47:59 - mmengine - INFO - Epoch(train) [12][2220/3757] lr: 1.000e-02 eta: 1 day, 0:18:44 time: 0.256 data_time: 0.007 memory: 5150 grad_norm: 5.9770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0721 loss: 2.0721 2022/06/27 21:48:04 - mmengine - INFO - Epoch(train) [12][2240/3757] lr: 1.000e-02 eta: 1 day, 0:18:39 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.8893 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3971 loss: 2.3971 2022/06/27 21:48:10 - mmengine - INFO - Epoch(train) [12][2260/3757] lr: 1.000e-02 eta: 1 day, 0:18:34 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 4.5965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8709 loss: 1.8709 2022/06/27 21:48:15 - mmengine - INFO - Epoch(train) [12][2280/3757] lr: 1.000e-02 eta: 1 day, 0:18:28 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 5.2954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2797 loss: 2.2797 2022/06/27 21:48:20 - mmengine - INFO - Epoch(train) [12][2300/3757] lr: 1.000e-02 eta: 1 day, 0:18:24 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 5.9589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2060 loss: 2.2060 2022/06/27 21:48:25 - mmengine - INFO - Epoch(train) [12][2320/3757] lr: 1.000e-02 eta: 1 day, 0:18:15 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.2896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4862 loss: 2.4862 2022/06/27 21:48:31 - mmengine - INFO - Epoch(train) [12][2340/3757] lr: 1.000e-02 eta: 1 day, 0:18:13 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.6914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1730 loss: 2.1730 2022/06/27 21:48:36 - mmengine - INFO - Epoch(train) [12][2360/3757] lr: 1.000e-02 eta: 1 day, 0:18:05 time: 0.215 data_time: 0.018 memory: 5150 grad_norm: 5.3571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.8135 loss: 2.8135 2022/06/27 21:48:42 - mmengine - INFO - Epoch(train) [12][2380/3757] lr: 1.000e-02 eta: 1 day, 0:18:05 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.3941 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3653 loss: 2.3653 2022/06/27 21:48:47 - mmengine - INFO - Epoch(train) [12][2400/3757] lr: 1.000e-02 eta: 1 day, 0:18:01 time: 0.980 data_time: 0.008 memory: 5150 grad_norm: 5.7979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2960 loss: 2.2960 2022/06/27 21:48:52 - mmengine - INFO - Epoch(train) [12][2420/3757] lr: 1.000e-02 eta: 1 day, 0:17:52 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.0701 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2330 loss: 2.2330 2022/06/27 21:48:57 - mmengine - INFO - Epoch(train) [12][2440/3757] lr: 1.000e-02 eta: 1 day, 0:17:42 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.2783 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4961 loss: 2.4961 2022/06/27 21:49:02 - mmengine - INFO - Epoch(train) [12][2460/3757] lr: 1.000e-02 eta: 1 day, 0:17:37 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.5199 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5436 loss: 2.5436 2022/06/27 21:49:07 - mmengine - INFO - Epoch(train) [12][2480/3757] lr: 1.000e-02 eta: 1 day, 0:17:33 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.5172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.9058 loss: 2.9058 2022/06/27 21:49:12 - mmengine - INFO - Epoch(train) [12][2500/3757] lr: 1.000e-02 eta: 1 day, 0:17:26 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.4184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2762 loss: 2.2762 2022/06/27 21:49:18 - mmengine - INFO - Epoch(train) [12][2520/3757] lr: 1.000e-02 eta: 1 day, 0:17:24 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.5779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3913 loss: 2.3913 2022/06/27 21:49:24 - mmengine - INFO - Epoch(train) [12][2540/3757] lr: 1.000e-02 eta: 1 day, 0:17:20 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.2845 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0303 loss: 2.0303 2022/06/27 21:49:29 - mmengine - INFO - Epoch(train) [12][2560/3757] lr: 1.000e-02 eta: 1 day, 0:17:13 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 4.5463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8755 loss: 1.8755 2022/06/27 21:49:34 - mmengine - INFO - Epoch(train) [12][2580/3757] lr: 1.000e-02 eta: 1 day, 0:17:07 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3070 loss: 2.3070 2022/06/27 21:49:39 - mmengine - INFO - Epoch(train) [12][2600/3757] lr: 1.000e-02 eta: 1 day, 0:17:02 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 6.5504 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1836 loss: 2.1836 2022/06/27 21:49:44 - mmengine - INFO - Epoch(train) [12][2620/3757] lr: 1.000e-02 eta: 1 day, 0:16:56 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.9601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1403 loss: 2.1403 2022/06/27 21:49:51 - mmengine - INFO - Epoch(train) [12][2640/3757] lr: 1.000e-02 eta: 1 day, 0:16:58 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3218 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3648 loss: 2.3648 2022/06/27 21:49:55 - mmengine - INFO - Epoch(train) [12][2660/3757] lr: 1.000e-02 eta: 1 day, 0:16:44 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.6819 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0004 loss: 2.0004 2022/06/27 21:49:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:50:00 - mmengine - INFO - Epoch(train) [12][2680/3757] lr: 1.000e-02 eta: 1 day, 0:16:38 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.3237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4609 loss: 2.4609 2022/06/27 21:50:05 - mmengine - INFO - Epoch(train) [12][2700/3757] lr: 1.000e-02 eta: 1 day, 0:16:33 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.4579 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3155 loss: 2.3155 2022/06/27 21:50:11 - mmengine - INFO - Epoch(train) [12][2720/3757] lr: 1.000e-02 eta: 1 day, 0:16:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5565 loss: 2.5565 2022/06/27 21:50:16 - mmengine - INFO - Epoch(train) [12][2740/3757] lr: 1.000e-02 eta: 1 day, 0:16:27 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.1911 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2476 loss: 2.2476 2022/06/27 21:50:21 - mmengine - INFO - Epoch(train) [12][2760/3757] lr: 1.000e-02 eta: 1 day, 0:16:21 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1502 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.7654 loss: 2.7654 2022/06/27 21:50:27 - mmengine - INFO - Epoch(train) [12][2780/3757] lr: 1.000e-02 eta: 1 day, 0:16:19 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0490 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2504 loss: 2.2504 2022/06/27 21:50:32 - mmengine - INFO - Epoch(train) [12][2800/3757] lr: 1.000e-02 eta: 1 day, 0:16:13 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4399 loss: 2.4399 2022/06/27 21:50:38 - mmengine - INFO - Epoch(train) [12][2820/3757] lr: 1.000e-02 eta: 1 day, 0:16:08 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1130 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4400 loss: 2.4400 2022/06/27 21:50:43 - mmengine - INFO - Epoch(train) [12][2840/3757] lr: 1.000e-02 eta: 1 day, 0:16:03 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3232 loss: 2.3232 2022/06/27 21:50:49 - mmengine - INFO - Epoch(train) [12][2860/3757] lr: 1.000e-02 eta: 1 day, 0:16:07 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.4989 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.9828 loss: 2.9828 2022/06/27 21:50:54 - mmengine - INFO - Epoch(train) [12][2880/3757] lr: 1.000e-02 eta: 1 day, 0:15:53 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.4315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2317 loss: 2.2317 2022/06/27 21:50:58 - mmengine - INFO - Epoch(train) [12][2900/3757] lr: 1.000e-02 eta: 1 day, 0:15:42 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.2110 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5319 loss: 2.5319 2022/06/27 21:51:03 - mmengine - INFO - Epoch(train) [12][2920/3757] lr: 1.000e-02 eta: 1 day, 0:15:36 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.9934 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2543 loss: 2.2543 2022/06/27 21:51:09 - mmengine - INFO - Epoch(train) [12][2940/3757] lr: 1.000e-02 eta: 1 day, 0:15:31 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.7213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0526 loss: 2.0526 2022/06/27 21:51:14 - mmengine - INFO - Epoch(train) [12][2960/3757] lr: 1.000e-02 eta: 1 day, 0:15:28 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.5530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5758 loss: 2.5758 2022/06/27 21:51:19 - mmengine - INFO - Epoch(train) [12][2980/3757] lr: 1.000e-02 eta: 1 day, 0:15:21 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.8688 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2991 loss: 2.2991 2022/06/27 21:51:25 - mmengine - INFO - Epoch(train) [12][3000/3757] lr: 1.000e-02 eta: 1 day, 0:15:17 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 4.9629 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1776 loss: 2.1776 2022/06/27 21:51:30 - mmengine - INFO - Epoch(train) [12][3020/3757] lr: 1.000e-02 eta: 1 day, 0:15:12 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8702 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2127 loss: 2.2127 2022/06/27 21:51:35 - mmengine - INFO - Epoch(train) [12][3040/3757] lr: 1.000e-02 eta: 1 day, 0:15:08 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.7239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2807 loss: 2.2807 2022/06/27 21:51:40 - mmengine - INFO - Epoch(train) [12][3060/3757] lr: 1.000e-02 eta: 1 day, 0:14:58 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.0396 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5124 loss: 2.5124 2022/06/27 21:51:46 - mmengine - INFO - Epoch(train) [12][3080/3757] lr: 1.000e-02 eta: 1 day, 0:14:56 time: 0.263 data_time: 0.020 memory: 5150 grad_norm: 5.2412 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4471 loss: 2.4471 2022/06/27 21:51:51 - mmengine - INFO - Epoch(train) [12][3100/3757] lr: 1.000e-02 eta: 1 day, 0:14:51 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7136 loss: 2.7136 2022/06/27 21:51:56 - mmengine - INFO - Epoch(train) [12][3120/3757] lr: 1.000e-02 eta: 1 day, 0:14:45 time: 0.190 data_time: 0.015 memory: 5150 grad_norm: 6.2329 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2804 loss: 2.2804 2022/06/27 21:52:02 - mmengine - INFO - Epoch(train) [12][3140/3757] lr: 1.000e-02 eta: 1 day, 0:14:42 time: 0.234 data_time: 0.020 memory: 5150 grad_norm: 5.7312 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8029 loss: 2.8029 2022/06/27 21:52:08 - mmengine - INFO - Epoch(train) [12][3160/3757] lr: 1.000e-02 eta: 1 day, 0:14:42 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.1327 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4802 loss: 2.4802 2022/06/27 21:52:13 - mmengine - INFO - Epoch(train) [12][3180/3757] lr: 1.000e-02 eta: 1 day, 0:14:34 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 4.9030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2915 loss: 2.2915 2022/06/27 21:52:18 - mmengine - INFO - Epoch(train) [12][3200/3757] lr: 1.000e-02 eta: 1 day, 0:14:32 time: 0.201 data_time: 0.030 memory: 5150 grad_norm: 5.4174 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3115 loss: 2.3115 2022/06/27 21:52:24 - mmengine - INFO - Epoch(train) [12][3220/3757] lr: 1.000e-02 eta: 1 day, 0:14:27 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7086 loss: 2.7086 2022/06/27 21:52:29 - mmengine - INFO - Epoch(train) [12][3240/3757] lr: 1.000e-02 eta: 1 day, 0:14:21 time: 0.190 data_time: 0.020 memory: 5150 grad_norm: 5.7744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3657 loss: 2.3657 2022/06/27 21:52:34 - mmengine - INFO - Epoch(train) [12][3260/3757] lr: 1.000e-02 eta: 1 day, 0:14:16 time: 0.211 data_time: 0.023 memory: 5150 grad_norm: 5.2340 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0562 loss: 2.0562 2022/06/27 21:52:40 - mmengine - INFO - Epoch(train) [12][3280/3757] lr: 1.000e-02 eta: 1 day, 0:14:12 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.1644 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7435 loss: 2.7435 2022/06/27 21:52:44 - mmengine - INFO - Epoch(train) [12][3300/3757] lr: 1.000e-02 eta: 1 day, 0:14:02 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.2398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9815 loss: 1.9815 2022/06/27 21:52:50 - mmengine - INFO - Epoch(train) [12][3320/3757] lr: 1.000e-02 eta: 1 day, 0:14:02 time: 0.218 data_time: 0.018 memory: 5150 grad_norm: 4.4461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3896 loss: 2.3896 2022/06/27 21:52:56 - mmengine - INFO - Epoch(train) [12][3340/3757] lr: 1.000e-02 eta: 1 day, 0:14:01 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9670 loss: 1.9670 2022/06/27 21:53:01 - mmengine - INFO - Epoch(train) [12][3360/3757] lr: 1.000e-02 eta: 1 day, 0:13:51 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.7741 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.8094 loss: 2.8094 2022/06/27 21:53:06 - mmengine - INFO - Epoch(train) [12][3380/3757] lr: 1.000e-02 eta: 1 day, 0:13:46 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.9517 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.7725 loss: 2.7725 2022/06/27 21:53:12 - mmengine - INFO - Epoch(train) [12][3400/3757] lr: 1.000e-02 eta: 1 day, 0:13:43 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3291 loss: 2.3291 2022/06/27 21:53:16 - mmengine - INFO - Epoch(train) [12][3420/3757] lr: 1.000e-02 eta: 1 day, 0:13:34 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 6.6174 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5747 loss: 2.5747 2022/06/27 21:53:22 - mmengine - INFO - Epoch(train) [12][3440/3757] lr: 1.000e-02 eta: 1 day, 0:13:32 time: 0.198 data_time: 0.023 memory: 5150 grad_norm: 5.2624 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3566 loss: 2.3566 2022/06/27 21:53:28 - mmengine - INFO - Epoch(train) [12][3460/3757] lr: 1.000e-02 eta: 1 day, 0:13:29 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.2826 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/06/27 21:53:33 - mmengine - INFO - Epoch(train) [12][3480/3757] lr: 1.000e-02 eta: 1 day, 0:13:23 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.9299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5729 loss: 2.5729 2022/06/27 21:53:38 - mmengine - INFO - Epoch(train) [12][3500/3757] lr: 1.000e-02 eta: 1 day, 0:13:18 time: 0.303 data_time: 0.013 memory: 5150 grad_norm: 5.3125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2961 loss: 2.2961 2022/06/27 21:53:44 - mmengine - INFO - Epoch(train) [12][3520/3757] lr: 1.000e-02 eta: 1 day, 0:13:13 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.2795 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2068 loss: 3.2068 2022/06/27 21:53:49 - mmengine - INFO - Epoch(train) [12][3540/3757] lr: 1.000e-02 eta: 1 day, 0:13:08 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.4217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2327 loss: 2.2327 2022/06/27 21:53:54 - mmengine - INFO - Epoch(train) [12][3560/3757] lr: 1.000e-02 eta: 1 day, 0:13:03 time: 0.195 data_time: 0.023 memory: 5150 grad_norm: 5.5435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0750 loss: 2.0750 2022/06/27 21:54:00 - mmengine - INFO - Epoch(train) [12][3580/3757] lr: 1.000e-02 eta: 1 day, 0:13:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.2965 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2653 loss: 2.2653 2022/06/27 21:54:04 - mmengine - INFO - Epoch(train) [12][3600/3757] lr: 1.000e-02 eta: 1 day, 0:12:49 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.1768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9727 loss: 1.9727 2022/06/27 21:54:10 - mmengine - INFO - Epoch(train) [12][3620/3757] lr: 1.000e-02 eta: 1 day, 0:12:48 time: 0.392 data_time: 0.227 memory: 5150 grad_norm: 5.8117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3753 loss: 2.3753 2022/06/27 21:54:15 - mmengine - INFO - Epoch(train) [12][3640/3757] lr: 1.000e-02 eta: 1 day, 0:12:41 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2366 loss: 2.2366 2022/06/27 21:54:20 - mmengine - INFO - Epoch(train) [12][3660/3757] lr: 1.000e-02 eta: 1 day, 0:12:35 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0050 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3451 loss: 2.3451 2022/06/27 21:54:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:54:26 - mmengine - INFO - Epoch(train) [12][3680/3757] lr: 1.000e-02 eta: 1 day, 0:12:32 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 5.1607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4917 loss: 2.4917 2022/06/27 21:54:31 - mmengine - INFO - Epoch(train) [12][3700/3757] lr: 1.000e-02 eta: 1 day, 0:12:25 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.3785 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3119 loss: 2.3119 2022/06/27 21:54:36 - mmengine - INFO - Epoch(train) [12][3720/3757] lr: 1.000e-02 eta: 1 day, 0:12:18 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3777 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4327 loss: 2.4327 2022/06/27 21:54:42 - mmengine - INFO - Epoch(train) [12][3740/3757] lr: 1.000e-02 eta: 1 day, 0:12:15 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 5.2408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2012 loss: 2.2012 2022/06/27 21:54:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 21:55:18 - mmengine - INFO - Epoch(val) [12][20/310] eta: 0:05:57 time: 1.065 data_time: 0.411 memory: 9746 2022/06/27 21:55:40 - mmengine - INFO - Epoch(val) [12][40/310] eta: 0:04:44 time: 1.102 data_time: 0.461 memory: 9746 2022/06/27 21:56:03 - mmengine - INFO - Epoch(val) [12][60/310] eta: 0:04:29 time: 1.136 data_time: 0.505 memory: 9746 2022/06/27 21:56:27 - mmengine - INFO - Epoch(val) [12][80/310] eta: 0:04:47 time: 0.972 data_time: 0.347 memory: 9746 2022/06/27 21:56:51 - mmengine - INFO - Epoch(val) [12][100/310] eta: 0:04:04 time: 2.404 data_time: 1.712 memory: 9746 2022/06/27 21:57:13 - mmengine - INFO - Epoch(val) [12][120/310] eta: 0:03:22 time: 1.180 data_time: 0.542 memory: 9746 2022/06/27 21:57:37 - mmengine - INFO - Epoch(val) [12][140/310] eta: 0:03:23 time: 1.026 data_time: 0.390 memory: 9746 2022/06/27 21:58:01 - mmengine - INFO - Epoch(val) [12][160/310] eta: 0:03:17 time: 3.588 data_time: 2.911 memory: 9746 2022/06/27 21:58:25 - mmengine - INFO - Epoch(val) [12][180/310] eta: 0:02:56 time: 1.071 data_time: 0.412 memory: 9746 2022/06/27 21:58:47 - mmengine - INFO - Epoch(val) [12][200/310] eta: 0:02:03 time: 1.106 data_time: 0.450 memory: 9746 2022/06/27 21:59:08 - mmengine - INFO - Epoch(val) [12][220/310] eta: 0:01:33 time: 1.074 data_time: 0.422 memory: 9746 2022/06/27 21:59:29 - mmengine - INFO - Epoch(val) [12][240/310] eta: 0:01:16 time: 1.053 data_time: 0.394 memory: 9746 2022/06/27 21:59:52 - mmengine - INFO - Epoch(val) [12][260/310] eta: 0:01:00 time: 1.023 data_time: 0.372 memory: 9746 2022/06/27 22:00:16 - mmengine - INFO - Epoch(val) [12][280/310] eta: 0:00:34 time: 2.003 data_time: 1.349 memory: 9746 2022/06/27 22:00:35 - mmengine - INFO - Epoch(val) [12][300/310] eta: 0:00:07 time: 0.631 data_time: 0.067 memory: 9746 2022/06/27 22:00:47 - mmengine - INFO - Epoch(val) [12][310/310] acc/top1: 0.5636 acc/top5: 0.8124 acc/mean1: 0.5636 2022/06/27 22:00:55 - mmengine - INFO - Epoch(train) [13][20/3757] lr: 1.000e-02 eta: 1 day, 0:12:09 time: 0.190 data_time: 0.007 memory: 9746 grad_norm: 4.7738 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6626 loss: 2.6626 2022/06/27 22:01:01 - mmengine - INFO - Epoch(train) [13][40/3757] lr: 1.000e-02 eta: 1 day, 0:12:06 time: 0.189 data_time: 0.006 memory: 5150 grad_norm: 4.8706 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5929 loss: 2.5929 2022/06/27 22:01:06 - mmengine - INFO - Epoch(train) [13][60/3757] lr: 1.000e-02 eta: 1 day, 0:12:00 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4232 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4828 loss: 2.4828 2022/06/27 22:01:12 - mmengine - INFO - Epoch(train) [13][80/3757] lr: 1.000e-02 eta: 1 day, 0:11:56 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.8347 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0063 loss: 2.0063 2022/06/27 22:01:17 - mmengine - INFO - Epoch(train) [13][100/3757] lr: 1.000e-02 eta: 1 day, 0:11:55 time: 0.187 data_time: 0.006 memory: 5150 grad_norm: 5.6805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1228 loss: 2.1228 2022/06/27 22:01:22 - mmengine - INFO - Epoch(train) [13][120/3757] lr: 1.000e-02 eta: 1 day, 0:11:48 time: 0.189 data_time: 0.011 memory: 5150 grad_norm: 5.3870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3245 loss: 2.3245 2022/06/27 22:01:28 - mmengine - INFO - Epoch(train) [13][140/3757] lr: 1.000e-02 eta: 1 day, 0:11:47 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.4942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2624 loss: 2.2624 2022/06/27 22:01:34 - mmengine - INFO - Epoch(train) [13][160/3757] lr: 1.000e-02 eta: 1 day, 0:11:46 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.6800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3231 loss: 2.3231 2022/06/27 22:01:39 - mmengine - INFO - Epoch(train) [13][180/3757] lr: 1.000e-02 eta: 1 day, 0:11:38 time: 0.384 data_time: 0.007 memory: 5150 grad_norm: 4.8765 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9295 loss: 1.9295 2022/06/27 22:01:45 - mmengine - INFO - Epoch(train) [13][200/3757] lr: 1.000e-02 eta: 1 day, 0:11:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.2415 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9947 loss: 1.9947 2022/06/27 22:01:50 - mmengine - INFO - Epoch(train) [13][220/3757] lr: 1.000e-02 eta: 1 day, 0:11:34 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0900 loss: 2.0900 2022/06/27 22:01:55 - mmengine - INFO - Epoch(train) [13][240/3757] lr: 1.000e-02 eta: 1 day, 0:11:21 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4153 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1221 loss: 2.1221 2022/06/27 22:02:00 - mmengine - INFO - Epoch(train) [13][260/3757] lr: 1.000e-02 eta: 1 day, 0:11:19 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.8434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5059 loss: 2.5059 2022/06/27 22:02:06 - mmengine - INFO - Epoch(train) [13][280/3757] lr: 1.000e-02 eta: 1 day, 0:11:17 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2414 loss: 2.2414 2022/06/27 22:02:11 - mmengine - INFO - Epoch(train) [13][300/3757] lr: 1.000e-02 eta: 1 day, 0:11:07 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.9280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5949 loss: 2.5949 2022/06/27 22:02:16 - mmengine - INFO - Epoch(train) [13][320/3757] lr: 1.000e-02 eta: 1 day, 0:11:02 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3397 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9156 loss: 1.9156 2022/06/27 22:02:22 - mmengine - INFO - Epoch(train) [13][340/3757] lr: 1.000e-02 eta: 1 day, 0:11:01 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2761 loss: 2.2761 2022/06/27 22:02:27 - mmengine - INFO - Epoch(train) [13][360/3757] lr: 1.000e-02 eta: 1 day, 0:10:52 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.7604 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/06/27 22:02:32 - mmengine - INFO - Epoch(train) [13][380/3757] lr: 1.000e-02 eta: 1 day, 0:10:50 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.9789 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3972 loss: 2.3972 2022/06/27 22:02:38 - mmengine - INFO - Epoch(train) [13][400/3757] lr: 1.000e-02 eta: 1 day, 0:10:46 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.4902 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3983 loss: 2.3983 2022/06/27 22:02:43 - mmengine - INFO - Epoch(train) [13][420/3757] lr: 1.000e-02 eta: 1 day, 0:10:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.2280 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2963 loss: 2.2963 2022/06/27 22:02:48 - mmengine - INFO - Epoch(train) [13][440/3757] lr: 1.000e-02 eta: 1 day, 0:10:35 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5604 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1572 loss: 2.1572 2022/06/27 22:02:54 - mmengine - INFO - Epoch(train) [13][460/3757] lr: 1.000e-02 eta: 1 day, 0:10:33 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1990 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5210 loss: 2.5210 2022/06/27 22:02:59 - mmengine - INFO - Epoch(train) [13][480/3757] lr: 1.000e-02 eta: 1 day, 0:10:27 time: 0.375 data_time: 0.007 memory: 5150 grad_norm: 5.7636 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0514 loss: 2.0514 2022/06/27 22:03:05 - mmengine - INFO - Epoch(train) [13][500/3757] lr: 1.000e-02 eta: 1 day, 0:10:22 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9944 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4417 loss: 2.4417 2022/06/27 22:03:11 - mmengine - INFO - Epoch(train) [13][520/3757] lr: 1.000e-02 eta: 1 day, 0:10:23 time: 0.773 data_time: 0.007 memory: 5150 grad_norm: 5.0294 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4048 loss: 2.4048 2022/06/27 22:03:16 - mmengine - INFO - Epoch(train) [13][540/3757] lr: 1.000e-02 eta: 1 day, 0:10:17 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3596 loss: 2.3596 2022/06/27 22:03:21 - mmengine - INFO - Epoch(train) [13][560/3757] lr: 1.000e-02 eta: 1 day, 0:10:10 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.0813 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.6670 loss: 2.6670 2022/06/27 22:03:26 - mmengine - INFO - Epoch(train) [13][580/3757] lr: 1.000e-02 eta: 1 day, 0:10:06 time: 0.244 data_time: 0.006 memory: 5150 grad_norm: 5.5246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3849 loss: 2.3849 2022/06/27 22:03:32 - mmengine - INFO - Epoch(train) [13][600/3757] lr: 1.000e-02 eta: 1 day, 0:10:00 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3261 loss: 2.3261 2022/06/27 22:03:37 - mmengine - INFO - Epoch(train) [13][620/3757] lr: 1.000e-02 eta: 1 day, 0:09:54 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.9770 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4967 loss: 2.4967 2022/06/27 22:03:42 - mmengine - INFO - Epoch(train) [13][640/3757] lr: 1.000e-02 eta: 1 day, 0:09:49 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3126 loss: 2.3126 2022/06/27 22:03:47 - mmengine - INFO - Epoch(train) [13][660/3757] lr: 1.000e-02 eta: 1 day, 0:09:42 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.9287 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3145 loss: 2.3145 2022/06/27 22:03:53 - mmengine - INFO - Epoch(train) [13][680/3757] lr: 1.000e-02 eta: 1 day, 0:09:39 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.8190 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0797 loss: 2.0797 2022/06/27 22:03:58 - mmengine - INFO - Epoch(train) [13][700/3757] lr: 1.000e-02 eta: 1 day, 0:09:36 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 4.9154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5097 loss: 2.5097 2022/06/27 22:04:03 - mmengine - INFO - Epoch(train) [13][720/3757] lr: 1.000e-02 eta: 1 day, 0:09:27 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 5.8931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3934 loss: 2.3934 2022/06/27 22:04:09 - mmengine - INFO - Epoch(train) [13][740/3757] lr: 1.000e-02 eta: 1 day, 0:09:26 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.8966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5299 loss: 2.5299 2022/06/27 22:04:14 - mmengine - INFO - Epoch(train) [13][760/3757] lr: 1.000e-02 eta: 1 day, 0:09:21 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.0623 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5924 loss: 2.5924 2022/06/27 22:04:19 - mmengine - INFO - Epoch(train) [13][780/3757] lr: 1.000e-02 eta: 1 day, 0:09:15 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.9094 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4371 loss: 2.4371 2022/06/27 22:04:25 - mmengine - INFO - Epoch(train) [13][800/3757] lr: 1.000e-02 eta: 1 day, 0:09:13 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.5328 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3030 loss: 2.3030 2022/06/27 22:04:31 - mmengine - INFO - Epoch(train) [13][820/3757] lr: 1.000e-02 eta: 1 day, 0:09:10 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.4381 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3545 loss: 2.3545 2022/06/27 22:04:36 - mmengine - INFO - Epoch(train) [13][840/3757] lr: 1.000e-02 eta: 1 day, 0:09:04 time: 0.188 data_time: 0.010 memory: 5150 grad_norm: 5.2121 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0703 loss: 2.0703 2022/06/27 22:04:41 - mmengine - INFO - Epoch(train) [13][860/3757] lr: 1.000e-02 eta: 1 day, 0:08:58 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.5567 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9907 loss: 1.9907 2022/06/27 22:04:47 - mmengine - INFO - Epoch(train) [13][880/3757] lr: 1.000e-02 eta: 1 day, 0:08:56 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.6511 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0072 loss: 2.0072 2022/06/27 22:04:53 - mmengine - INFO - Epoch(train) [13][900/3757] lr: 1.000e-02 eta: 1 day, 0:08:55 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.7238 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6943 loss: 2.6943 2022/06/27 22:04:56 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:04:57 - mmengine - INFO - Epoch(train) [13][920/3757] lr: 1.000e-02 eta: 1 day, 0:08:42 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.5362 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6397 loss: 2.6397 2022/06/27 22:05:02 - mmengine - INFO - Epoch(train) [13][940/3757] lr: 1.000e-02 eta: 1 day, 0:08:37 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.3946 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3304 loss: 2.3304 2022/06/27 22:05:07 - mmengine - INFO - Epoch(train) [13][960/3757] lr: 1.000e-02 eta: 1 day, 0:08:31 time: 0.196 data_time: 0.019 memory: 5150 grad_norm: 5.2592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5032 loss: 2.5032 2022/06/27 22:05:13 - mmengine - INFO - Epoch(train) [13][980/3757] lr: 1.000e-02 eta: 1 day, 0:08:26 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.4413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1965 loss: 2.1965 2022/06/27 22:05:18 - mmengine - INFO - Epoch(train) [13][1000/3757] lr: 1.000e-02 eta: 1 day, 0:08:24 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 5.5350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3755 loss: 2.3755 2022/06/27 22:05:23 - mmengine - INFO - Epoch(train) [13][1020/3757] lr: 1.000e-02 eta: 1 day, 0:08:16 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 5.6569 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6989 loss: 2.6989 2022/06/27 22:05:29 - mmengine - INFO - Epoch(train) [13][1040/3757] lr: 1.000e-02 eta: 1 day, 0:08:13 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.5795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2597 loss: 2.2597 2022/06/27 22:05:35 - mmengine - INFO - Epoch(train) [13][1060/3757] lr: 1.000e-02 eta: 1 day, 0:08:10 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 6.0211 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6472 loss: 1.6472 2022/06/27 22:05:39 - mmengine - INFO - Epoch(train) [13][1080/3757] lr: 1.000e-02 eta: 1 day, 0:08:02 time: 0.251 data_time: 0.011 memory: 5150 grad_norm: 6.1898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0725 loss: 2.0725 2022/06/27 22:05:45 - mmengine - INFO - Epoch(train) [13][1100/3757] lr: 1.000e-02 eta: 1 day, 0:07:58 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2855 loss: 2.2855 2022/06/27 22:05:51 - mmengine - INFO - Epoch(train) [13][1120/3757] lr: 1.000e-02 eta: 1 day, 0:07:59 time: 0.229 data_time: 0.054 memory: 5150 grad_norm: 5.7524 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4559 loss: 2.4559 2022/06/27 22:05:55 - mmengine - INFO - Epoch(train) [13][1140/3757] lr: 1.000e-02 eta: 1 day, 0:07:45 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.5229 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2079 loss: 2.2079 2022/06/27 22:06:01 - mmengine - INFO - Epoch(train) [13][1160/3757] lr: 1.000e-02 eta: 1 day, 0:07:42 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.0883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7147 loss: 2.7147 2022/06/27 22:06:06 - mmengine - INFO - Epoch(train) [13][1180/3757] lr: 1.000e-02 eta: 1 day, 0:07:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7142 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0014 loss: 2.0014 2022/06/27 22:06:11 - mmengine - INFO - Epoch(train) [13][1200/3757] lr: 1.000e-02 eta: 1 day, 0:07:30 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3245 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2142 loss: 2.2142 2022/06/27 22:06:17 - mmengine - INFO - Epoch(train) [13][1220/3757] lr: 1.000e-02 eta: 1 day, 0:07:27 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.3906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3571 loss: 2.3571 2022/06/27 22:06:23 - mmengine - INFO - Epoch(train) [13][1240/3757] lr: 1.000e-02 eta: 1 day, 0:07:27 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7469 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1841 loss: 2.1841 2022/06/27 22:06:27 - mmengine - INFO - Epoch(train) [13][1260/3757] lr: 1.000e-02 eta: 1 day, 0:07:17 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.8585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1727 loss: 2.1727 2022/06/27 22:06:33 - mmengine - INFO - Epoch(train) [13][1280/3757] lr: 1.000e-02 eta: 1 day, 0:07:12 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.2755 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5698 loss: 2.5698 2022/06/27 22:06:38 - mmengine - INFO - Epoch(train) [13][1300/3757] lr: 1.000e-02 eta: 1 day, 0:07:09 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.3512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/06/27 22:06:43 - mmengine - INFO - Epoch(train) [13][1320/3757] lr: 1.000e-02 eta: 1 day, 0:07:01 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5380 loss: 2.5380 2022/06/27 22:06:49 - mmengine - INFO - Epoch(train) [13][1340/3757] lr: 1.000e-02 eta: 1 day, 0:06:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.2948 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2277 loss: 2.2277 2022/06/27 22:06:54 - mmengine - INFO - Epoch(train) [13][1360/3757] lr: 1.000e-02 eta: 1 day, 0:06:53 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.6541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9906 loss: 1.9906 2022/06/27 22:06:59 - mmengine - INFO - Epoch(train) [13][1380/3757] lr: 1.000e-02 eta: 1 day, 0:06:48 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3578 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5889 loss: 2.5889 2022/06/27 22:07:05 - mmengine - INFO - Epoch(train) [13][1400/3757] lr: 1.000e-02 eta: 1 day, 0:06:46 time: 0.627 data_time: 0.009 memory: 5150 grad_norm: 5.3763 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/06/27 22:07:10 - mmengine - INFO - Epoch(train) [13][1420/3757] lr: 1.000e-02 eta: 1 day, 0:06:41 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.2442 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1970 loss: 2.1970 2022/06/27 22:07:15 - mmengine - INFO - Epoch(train) [13][1440/3757] lr: 1.000e-02 eta: 1 day, 0:06:34 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.5027 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3443 loss: 2.3443 2022/06/27 22:07:21 - mmengine - INFO - Epoch(train) [13][1460/3757] lr: 1.000e-02 eta: 1 day, 0:06:31 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 5.7226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4338 loss: 2.4338 2022/06/27 22:07:26 - mmengine - INFO - Epoch(train) [13][1480/3757] lr: 1.000e-02 eta: 1 day, 0:06:27 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.5834 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2698 loss: 2.2698 2022/06/27 22:07:32 - mmengine - INFO - Epoch(train) [13][1500/3757] lr: 1.000e-02 eta: 1 day, 0:06:24 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 4.8996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4804 loss: 2.4804 2022/06/27 22:07:37 - mmengine - INFO - Epoch(train) [13][1520/3757] lr: 1.000e-02 eta: 1 day, 0:06:20 time: 0.221 data_time: 0.021 memory: 5150 grad_norm: 4.9620 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2349 loss: 2.2349 2022/06/27 22:07:42 - mmengine - INFO - Epoch(train) [13][1540/3757] lr: 1.000e-02 eta: 1 day, 0:06:12 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.5402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2680 loss: 2.2680 2022/06/27 22:07:48 - mmengine - INFO - Epoch(train) [13][1560/3757] lr: 1.000e-02 eta: 1 day, 0:06:09 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.0547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5084 loss: 2.5084 2022/06/27 22:07:53 - mmengine - INFO - Epoch(train) [13][1580/3757] lr: 1.000e-02 eta: 1 day, 0:06:04 time: 0.237 data_time: 0.019 memory: 5150 grad_norm: 5.6929 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9557 loss: 1.9557 2022/06/27 22:07:58 - mmengine - INFO - Epoch(train) [13][1600/3757] lr: 1.000e-02 eta: 1 day, 0:05:56 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5798 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3916 loss: 2.3916 2022/06/27 22:08:04 - mmengine - INFO - Epoch(train) [13][1620/3757] lr: 1.000e-02 eta: 1 day, 0:05:54 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 4.9185 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2542 loss: 2.2542 2022/06/27 22:08:10 - mmengine - INFO - Epoch(train) [13][1640/3757] lr: 1.000e-02 eta: 1 day, 0:05:57 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.2794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4559 loss: 2.4559 2022/06/27 22:08:14 - mmengine - INFO - Epoch(train) [13][1660/3757] lr: 1.000e-02 eta: 1 day, 0:05:44 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.6808 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0615 loss: 2.0615 2022/06/27 22:08:20 - mmengine - INFO - Epoch(train) [13][1680/3757] lr: 1.000e-02 eta: 1 day, 0:05:39 time: 0.221 data_time: 0.021 memory: 5150 grad_norm: 6.0721 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2094 loss: 2.2094 2022/06/27 22:08:26 - mmengine - INFO - Epoch(train) [13][1700/3757] lr: 1.000e-02 eta: 1 day, 0:05:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1335 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4787 loss: 2.4787 2022/06/27 22:08:31 - mmengine - INFO - Epoch(train) [13][1720/3757] lr: 1.000e-02 eta: 1 day, 0:05:34 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.0584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0709 loss: 2.0709 2022/06/27 22:08:36 - mmengine - INFO - Epoch(train) [13][1740/3757] lr: 1.000e-02 eta: 1 day, 0:05:25 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.3078 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4861 loss: 2.4861 2022/06/27 22:08:42 - mmengine - INFO - Epoch(train) [13][1760/3757] lr: 1.000e-02 eta: 1 day, 0:05:22 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 6.1802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2489 loss: 2.2489 2022/06/27 22:08:47 - mmengine - INFO - Epoch(train) [13][1780/3757] lr: 1.000e-02 eta: 1 day, 0:05:20 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.1812 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3478 loss: 2.3478 2022/06/27 22:08:53 - mmengine - INFO - Epoch(train) [13][1800/3757] lr: 1.000e-02 eta: 1 day, 0:05:17 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 4.7810 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0622 loss: 2.0622 2022/06/27 22:08:57 - mmengine - INFO - Epoch(train) [13][1820/3757] lr: 1.000e-02 eta: 1 day, 0:05:05 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 4.8436 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2409 loss: 2.2409 2022/06/27 22:09:03 - mmengine - INFO - Epoch(train) [13][1840/3757] lr: 1.000e-02 eta: 1 day, 0:05:02 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 4.6681 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4519 loss: 2.4519 2022/06/27 22:09:08 - mmengine - INFO - Epoch(train) [13][1860/3757] lr: 1.000e-02 eta: 1 day, 0:04:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.9346 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4184 loss: 2.4184 2022/06/27 22:09:13 - mmengine - INFO - Epoch(train) [13][1880/3757] lr: 1.000e-02 eta: 1 day, 0:04:51 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.4955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7372 loss: 2.7372 2022/06/27 22:09:19 - mmengine - INFO - Epoch(train) [13][1900/3757] lr: 1.000e-02 eta: 1 day, 0:04:46 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.3865 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3016 loss: 2.3016 2022/06/27 22:09:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:09:23 - mmengine - INFO - Epoch(train) [13][1920/3757] lr: 1.000e-02 eta: 1 day, 0:04:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4221 loss: 2.4221 2022/06/27 22:09:29 - mmengine - INFO - Epoch(train) [13][1940/3757] lr: 1.000e-02 eta: 1 day, 0:04:35 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.1871 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5113 loss: 2.5113 2022/06/27 22:09:34 - mmengine - INFO - Epoch(train) [13][1960/3757] lr: 1.000e-02 eta: 1 day, 0:04:28 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3309 loss: 2.3309 2022/06/27 22:09:39 - mmengine - INFO - Epoch(train) [13][1980/3757] lr: 1.000e-02 eta: 1 day, 0:04:19 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.7111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4514 loss: 2.4514 2022/06/27 22:09:45 - mmengine - INFO - Epoch(train) [13][2000/3757] lr: 1.000e-02 eta: 1 day, 0:04:19 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.0097 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4765 loss: 2.4765 2022/06/27 22:09:51 - mmengine - INFO - Epoch(train) [13][2020/3757] lr: 1.000e-02 eta: 1 day, 0:04:18 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.1876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9236 loss: 1.9236 2022/06/27 22:09:56 - mmengine - INFO - Epoch(train) [13][2040/3757] lr: 1.000e-02 eta: 1 day, 0:04:09 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3345 loss: 2.3345 2022/06/27 22:10:01 - mmengine - INFO - Epoch(train) [13][2060/3757] lr: 1.000e-02 eta: 1 day, 0:04:06 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.1950 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2313 loss: 2.2313 2022/06/27 22:10:07 - mmengine - INFO - Epoch(train) [13][2080/3757] lr: 1.000e-02 eta: 1 day, 0:04:02 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 5.7671 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7178 loss: 2.7178 2022/06/27 22:10:11 - mmengine - INFO - Epoch(train) [13][2100/3757] lr: 1.000e-02 eta: 1 day, 0:03:52 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9837 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2440 loss: 2.2440 2022/06/27 22:10:17 - mmengine - INFO - Epoch(train) [13][2120/3757] lr: 1.000e-02 eta: 1 day, 0:03:50 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 5.4757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2422 loss: 2.2422 2022/06/27 22:10:22 - mmengine - INFO - Epoch(train) [13][2140/3757] lr: 1.000e-02 eta: 1 day, 0:03:45 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.8126 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6674 loss: 2.6674 2022/06/27 22:10:27 - mmengine - INFO - Epoch(train) [13][2160/3757] lr: 1.000e-02 eta: 1 day, 0:03:38 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5540 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3314 loss: 2.3314 2022/06/27 22:10:33 - mmengine - INFO - Epoch(train) [13][2180/3757] lr: 1.000e-02 eta: 1 day, 0:03:34 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.7887 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3250 loss: 2.3250 2022/06/27 22:10:38 - mmengine - INFO - Epoch(train) [13][2200/3757] lr: 1.000e-02 eta: 1 day, 0:03:31 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.3368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2762 loss: 2.2762 2022/06/27 22:10:43 - mmengine - INFO - Epoch(train) [13][2220/3757] lr: 1.000e-02 eta: 1 day, 0:03:21 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.6703 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9107 loss: 1.9107 2022/06/27 22:10:48 - mmengine - INFO - Epoch(train) [13][2240/3757] lr: 1.000e-02 eta: 1 day, 0:03:17 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.5363 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4015 loss: 2.4015 2022/06/27 22:10:54 - mmengine - INFO - Epoch(train) [13][2260/3757] lr: 1.000e-02 eta: 1 day, 0:03:13 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.6349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3580 loss: 2.3580 2022/06/27 22:10:59 - mmengine - INFO - Epoch(train) [13][2280/3757] lr: 1.000e-02 eta: 1 day, 0:03:05 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.2349 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2970 loss: 2.2970 2022/06/27 22:11:04 - mmengine - INFO - Epoch(train) [13][2300/3757] lr: 1.000e-02 eta: 1 day, 0:03:02 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 5.4848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3795 loss: 2.3795 2022/06/27 22:11:09 - mmengine - INFO - Epoch(train) [13][2320/3757] lr: 1.000e-02 eta: 1 day, 0:02:56 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.5051 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2634 loss: 2.2634 2022/06/27 22:11:15 - mmengine - INFO - Epoch(train) [13][2340/3757] lr: 1.000e-02 eta: 1 day, 0:02:49 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.8417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1779 loss: 2.1779 2022/06/27 22:11:20 - mmengine - INFO - Epoch(train) [13][2360/3757] lr: 1.000e-02 eta: 1 day, 0:02:48 time: 0.210 data_time: 0.028 memory: 5150 grad_norm: 4.9293 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1028 loss: 2.1028 2022/06/27 22:11:25 - mmengine - INFO - Epoch(train) [13][2380/3757] lr: 1.000e-02 eta: 1 day, 0:02:40 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.0909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8967 loss: 1.8967 2022/06/27 22:11:31 - mmengine - INFO - Epoch(train) [13][2400/3757] lr: 1.000e-02 eta: 1 day, 0:02:38 time: 0.218 data_time: 0.051 memory: 5150 grad_norm: 5.4978 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.7782 loss: 2.7782 2022/06/27 22:11:37 - mmengine - INFO - Epoch(train) [13][2420/3757] lr: 1.000e-02 eta: 1 day, 0:02:35 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 5.8607 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9471 loss: 1.9471 2022/06/27 22:11:41 - mmengine - INFO - Epoch(train) [13][2440/3757] lr: 1.000e-02 eta: 1 day, 0:02:26 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.5467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1184 loss: 2.1184 2022/06/27 22:11:47 - mmengine - INFO - Epoch(train) [13][2460/3757] lr: 1.000e-02 eta: 1 day, 0:02:22 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5723 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4577 loss: 2.4577 2022/06/27 22:11:53 - mmengine - INFO - Epoch(train) [13][2480/3757] lr: 1.000e-02 eta: 1 day, 0:02:19 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 5.3709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0736 loss: 2.0736 2022/06/27 22:11:57 - mmengine - INFO - Epoch(train) [13][2500/3757] lr: 1.000e-02 eta: 1 day, 0:02:11 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4597 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2961 loss: 2.2961 2022/06/27 22:12:03 - mmengine - INFO - Epoch(train) [13][2520/3757] lr: 1.000e-02 eta: 1 day, 0:02:05 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.6649 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2349 loss: 2.2349 2022/06/27 22:12:08 - mmengine - INFO - Epoch(train) [13][2540/3757] lr: 1.000e-02 eta: 1 day, 0:02:03 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.5659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5182 loss: 2.5182 2022/06/27 22:12:13 - mmengine - INFO - Epoch(train) [13][2560/3757] lr: 1.000e-02 eta: 1 day, 0:01:54 time: 0.363 data_time: 0.006 memory: 5150 grad_norm: 5.7692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1359 loss: 2.1359 2022/06/27 22:12:19 - mmengine - INFO - Epoch(train) [13][2580/3757] lr: 1.000e-02 eta: 1 day, 0:01:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.8117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7516 loss: 1.7516 2022/06/27 22:12:24 - mmengine - INFO - Epoch(train) [13][2600/3757] lr: 1.000e-02 eta: 1 day, 0:01:49 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.2121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8351 loss: 2.8351 2022/06/27 22:12:30 - mmengine - INFO - Epoch(train) [13][2620/3757] lr: 1.000e-02 eta: 1 day, 0:01:43 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.8454 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4163 loss: 2.4163 2022/06/27 22:12:36 - mmengine - INFO - Epoch(train) [13][2640/3757] lr: 1.000e-02 eta: 1 day, 0:01:42 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.2704 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5859 loss: 2.5859 2022/06/27 22:12:41 - mmengine - INFO - Epoch(train) [13][2660/3757] lr: 1.000e-02 eta: 1 day, 0:01:39 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.2210 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0024 loss: 2.0024 2022/06/27 22:12:45 - mmengine - INFO - Epoch(train) [13][2680/3757] lr: 1.000e-02 eta: 1 day, 0:01:26 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1271 loss: 2.1271 2022/06/27 22:12:50 - mmengine - INFO - Epoch(train) [13][2700/3757] lr: 1.000e-02 eta: 1 day, 0:01:20 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.0568 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3240 loss: 2.3240 2022/06/27 22:12:56 - mmengine - INFO - Epoch(train) [13][2720/3757] lr: 1.000e-02 eta: 1 day, 0:01:17 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.5691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1256 loss: 2.1256 2022/06/27 22:13:01 - mmengine - INFO - Epoch(train) [13][2740/3757] lr: 1.000e-02 eta: 1 day, 0:01:09 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.7282 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3426 loss: 2.3426 2022/06/27 22:13:06 - mmengine - INFO - Epoch(train) [13][2760/3757] lr: 1.000e-02 eta: 1 day, 0:01:04 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 6.5556 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4630 loss: 2.4630 2022/06/27 22:13:12 - mmengine - INFO - Epoch(train) [13][2780/3757] lr: 1.000e-02 eta: 1 day, 0:01:00 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.5010 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2633 loss: 2.2633 2022/06/27 22:13:17 - mmengine - INFO - Epoch(train) [13][2800/3757] lr: 1.000e-02 eta: 1 day, 0:00:53 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 5.9774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1555 loss: 2.1555 2022/06/27 22:13:22 - mmengine - INFO - Epoch(train) [13][2820/3757] lr: 1.000e-02 eta: 1 day, 0:00:48 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.7818 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5092 loss: 2.5092 2022/06/27 22:13:28 - mmengine - INFO - Epoch(train) [13][2840/3757] lr: 1.000e-02 eta: 1 day, 0:00:46 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.5679 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4715 loss: 2.4715 2022/06/27 22:13:33 - mmengine - INFO - Epoch(train) [13][2860/3757] lr: 1.000e-02 eta: 1 day, 0:00:42 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2846 loss: 2.2846 2022/06/27 22:13:38 - mmengine - INFO - Epoch(train) [13][2880/3757] lr: 1.000e-02 eta: 1 day, 0:00:36 time: 0.573 data_time: 0.007 memory: 5150 grad_norm: 5.1601 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4604 loss: 2.4604 2022/06/27 22:13:44 - mmengine - INFO - Epoch(train) [13][2900/3757] lr: 1.000e-02 eta: 1 day, 0:00:30 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.6243 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2187 loss: 2.2187 2022/06/27 22:13:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:13:48 - mmengine - INFO - Epoch(train) [13][2920/3757] lr: 1.000e-02 eta: 1 day, 0:00:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6559 loss: 2.6559 2022/06/27 22:13:54 - mmengine - INFO - Epoch(train) [13][2940/3757] lr: 1.000e-02 eta: 1 day, 0:00:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3445 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4276 loss: 2.4276 2022/06/27 22:13:59 - mmengine - INFO - Epoch(train) [13][2960/3757] lr: 1.000e-02 eta: 1 day, 0:00:10 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 5.4670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5673 loss: 2.5673 2022/06/27 22:14:05 - mmengine - INFO - Epoch(train) [13][2980/3757] lr: 1.000e-02 eta: 1 day, 0:00:08 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 5.2941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4433 loss: 2.4433 2022/06/27 22:14:10 - mmengine - INFO - Epoch(train) [13][3000/3757] lr: 1.000e-02 eta: 1 day, 0:00:05 time: 0.249 data_time: 0.007 memory: 5150 grad_norm: 5.4881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9227 loss: 1.9227 2022/06/27 22:14:15 - mmengine - INFO - Epoch(train) [13][3020/3757] lr: 1.000e-02 eta: 23:59:59 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 4.6362 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3139 loss: 2.3139 2022/06/27 22:14:21 - mmengine - INFO - Epoch(train) [13][3040/3757] lr: 1.000e-02 eta: 23:59:56 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.6065 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3502 loss: 2.3502 2022/06/27 22:14:26 - mmengine - INFO - Epoch(train) [13][3060/3757] lr: 1.000e-02 eta: 23:59:48 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4285 loss: 2.4285 2022/06/27 22:14:31 - mmengine - INFO - Epoch(train) [13][3080/3757] lr: 1.000e-02 eta: 23:59:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4747 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9482 loss: 2.9482 2022/06/27 22:14:37 - mmengine - INFO - Epoch(train) [13][3100/3757] lr: 1.000e-02 eta: 23:59:41 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9564 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4892 loss: 2.4892 2022/06/27 22:14:42 - mmengine - INFO - Epoch(train) [13][3120/3757] lr: 1.000e-02 eta: 23:59:34 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 4.8556 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2508 loss: 2.2508 2022/06/27 22:14:47 - mmengine - INFO - Epoch(train) [13][3140/3757] lr: 1.000e-02 eta: 23:59:29 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.2074 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5069 loss: 2.5069 2022/06/27 22:14:52 - mmengine - INFO - Epoch(train) [13][3160/3757] lr: 1.000e-02 eta: 23:59:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.2927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0314 loss: 2.0314 2022/06/27 22:14:58 - mmengine - INFO - Epoch(train) [13][3180/3757] lr: 1.000e-02 eta: 23:59:18 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.8328 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9900 loss: 1.9900 2022/06/27 22:15:04 - mmengine - INFO - Epoch(train) [13][3200/3757] lr: 1.000e-02 eta: 23:59:16 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.5012 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1751 loss: 2.1751 2022/06/27 22:15:09 - mmengine - INFO - Epoch(train) [13][3220/3757] lr: 1.000e-02 eta: 23:59:11 time: 0.397 data_time: 0.008 memory: 5150 grad_norm: 5.7750 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0501 loss: 2.0501 2022/06/27 22:15:14 - mmengine - INFO - Epoch(train) [13][3240/3757] lr: 1.000e-02 eta: 23:59:08 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.4642 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1350 loss: 2.1350 2022/06/27 22:15:19 - mmengine - INFO - Epoch(train) [13][3260/3757] lr: 1.000e-02 eta: 23:59:01 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1153 loss: 2.1153 2022/06/27 22:15:25 - mmengine - INFO - Epoch(train) [13][3280/3757] lr: 1.000e-02 eta: 23:58:56 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.0611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3579 loss: 2.3579 2022/06/27 22:15:30 - mmengine - INFO - Epoch(train) [13][3300/3757] lr: 1.000e-02 eta: 23:58:51 time: 0.234 data_time: 0.012 memory: 5150 grad_norm: 5.1731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4261 loss: 2.4261 2022/06/27 22:15:36 - mmengine - INFO - Epoch(train) [13][3320/3757] lr: 1.000e-02 eta: 23:58:49 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.6717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3502 loss: 2.3502 2022/06/27 22:15:41 - mmengine - INFO - Epoch(train) [13][3340/3757] lr: 1.000e-02 eta: 23:58:44 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.4401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0874 loss: 2.0874 2022/06/27 22:15:46 - mmengine - INFO - Epoch(train) [13][3360/3757] lr: 1.000e-02 eta: 23:58:38 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.7574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2037 loss: 2.2037 2022/06/27 22:15:52 - mmengine - INFO - Epoch(train) [13][3380/3757] lr: 1.000e-02 eta: 23:58:34 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.8851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5751 loss: 2.5751 2022/06/27 22:15:57 - mmengine - INFO - Epoch(train) [13][3400/3757] lr: 1.000e-02 eta: 23:58:29 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.4111 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2665 loss: 2.2665 2022/06/27 22:16:03 - mmengine - INFO - Epoch(train) [13][3420/3757] lr: 1.000e-02 eta: 23:58:24 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1790 loss: 2.1790 2022/06/27 22:16:08 - mmengine - INFO - Epoch(train) [13][3440/3757] lr: 1.000e-02 eta: 23:58:19 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6338 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5460 loss: 2.5460 2022/06/27 22:16:13 - mmengine - INFO - Epoch(train) [13][3460/3757] lr: 1.000e-02 eta: 23:58:13 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.1232 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.7082 loss: 2.7082 2022/06/27 22:16:18 - mmengine - INFO - Epoch(train) [13][3480/3757] lr: 1.000e-02 eta: 23:58:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2724 loss: 2.2724 2022/06/27 22:16:23 - mmengine - INFO - Epoch(train) [13][3500/3757] lr: 1.000e-02 eta: 23:58:02 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.8310 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.8252 loss: 2.8252 2022/06/27 22:16:29 - mmengine - INFO - Epoch(train) [13][3520/3757] lr: 1.000e-02 eta: 23:57:56 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.6197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8965 loss: 2.8965 2022/06/27 22:16:34 - mmengine - INFO - Epoch(train) [13][3540/3757] lr: 1.000e-02 eta: 23:57:49 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1147 loss: 2.1147 2022/06/27 22:16:39 - mmengine - INFO - Epoch(train) [13][3560/3757] lr: 1.000e-02 eta: 23:57:45 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 4.6134 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2171 loss: 2.2171 2022/06/27 22:16:45 - mmengine - INFO - Epoch(train) [13][3580/3757] lr: 1.000e-02 eta: 23:57:44 time: 1.182 data_time: 0.006 memory: 5150 grad_norm: 5.3603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1112 loss: 2.1112 2022/06/27 22:16:50 - mmengine - INFO - Epoch(train) [13][3600/3757] lr: 1.000e-02 eta: 23:57:34 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.0763 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9906 loss: 1.9906 2022/06/27 22:16:55 - mmengine - INFO - Epoch(train) [13][3620/3757] lr: 1.000e-02 eta: 23:57:30 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.9036 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1998 loss: 2.1998 2022/06/27 22:17:01 - mmengine - INFO - Epoch(train) [13][3640/3757] lr: 1.000e-02 eta: 23:57:29 time: 0.267 data_time: 0.012 memory: 5150 grad_norm: 5.3372 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5502 loss: 2.5502 2022/06/27 22:17:06 - mmengine - INFO - Epoch(train) [13][3660/3757] lr: 1.000e-02 eta: 23:57:21 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.0303 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4868 loss: 2.4868 2022/06/27 22:17:11 - mmengine - INFO - Epoch(train) [13][3680/3757] lr: 1.000e-02 eta: 23:57:16 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1510 loss: 2.1510 2022/06/27 22:17:17 - mmengine - INFO - Epoch(train) [13][3700/3757] lr: 1.000e-02 eta: 23:57:12 time: 0.243 data_time: 0.007 memory: 5150 grad_norm: 5.1197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1601 loss: 2.1601 2022/06/27 22:17:22 - mmengine - INFO - Epoch(train) [13][3720/3757] lr: 1.000e-02 eta: 23:57:06 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.4748 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2408 loss: 2.2408 2022/06/27 22:17:27 - mmengine - INFO - Epoch(train) [13][3740/3757] lr: 1.000e-02 eta: 23:56:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8255 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2146 loss: 2.2146 2022/06/27 22:17:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:18:04 - mmengine - INFO - Epoch(val) [13][20/310] eta: 0:05:51 time: 1.150 data_time: 0.462 memory: 9746 2022/06/27 22:18:25 - mmengine - INFO - Epoch(val) [13][40/310] eta: 0:04:49 time: 0.976 data_time: 0.325 memory: 9746 2022/06/27 22:18:49 - mmengine - INFO - Epoch(val) [13][60/310] eta: 0:04:12 time: 1.071 data_time: 0.417 memory: 9746 2022/06/27 22:19:12 - mmengine - INFO - Epoch(val) [13][80/310] eta: 0:04:48 time: 0.994 data_time: 0.360 memory: 9746 2022/06/27 22:19:35 - mmengine - INFO - Epoch(val) [13][100/310] eta: 0:04:00 time: 2.081 data_time: 1.415 memory: 9746 2022/06/27 22:19:57 - mmengine - INFO - Epoch(val) [13][120/310] eta: 0:03:14 time: 1.087 data_time: 0.450 memory: 9746 2022/06/27 22:20:22 - mmengine - INFO - Epoch(val) [13][140/310] eta: 0:03:21 time: 0.961 data_time: 0.316 memory: 9746 2022/06/27 22:20:47 - mmengine - INFO - Epoch(val) [13][160/310] eta: 0:03:16 time: 2.733 data_time: 2.059 memory: 9746 2022/06/27 22:21:10 - mmengine - INFO - Epoch(val) [13][180/310] eta: 0:02:49 time: 1.065 data_time: 0.411 memory: 9746 2022/06/27 22:21:32 - mmengine - INFO - Epoch(val) [13][200/310] eta: 0:02:06 time: 1.099 data_time: 0.449 memory: 9746 2022/06/27 22:21:54 - mmengine - INFO - Epoch(val) [13][220/310] eta: 0:01:37 time: 1.236 data_time: 0.587 memory: 9746 2022/06/27 22:22:15 - mmengine - INFO - Epoch(val) [13][240/310] eta: 0:01:14 time: 1.017 data_time: 0.386 memory: 9746 2022/06/27 22:22:37 - mmengine - INFO - Epoch(val) [13][260/310] eta: 0:00:57 time: 0.981 data_time: 0.334 memory: 9746 2022/06/27 22:23:01 - mmengine - INFO - Epoch(val) [13][280/310] eta: 0:00:35 time: 1.766 data_time: 1.129 memory: 9746 2022/06/27 22:23:20 - mmengine - INFO - Epoch(val) [13][300/310] eta: 0:00:08 time: 0.635 data_time: 0.072 memory: 9746 2022/06/27 22:23:33 - mmengine - INFO - Epoch(val) [13][310/310] acc/top1: 0.5587 acc/top5: 0.8086 acc/mean1: 0.5587 2022/06/27 22:23:41 - mmengine - INFO - Epoch(train) [14][20/3757] lr: 1.000e-02 eta: 23:56:53 time: 0.195 data_time: 0.007 memory: 9746 grad_norm: 5.3991 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9453 loss: 1.9453 2022/06/27 22:23:47 - mmengine - INFO - Epoch(train) [14][40/3757] lr: 1.000e-02 eta: 23:56:50 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.6430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9768 loss: 1.9768 2022/06/27 22:23:52 - mmengine - INFO - Epoch(train) [14][60/3757] lr: 1.000e-02 eta: 23:56:42 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 5.7201 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5900 loss: 2.5900 2022/06/27 22:23:57 - mmengine - INFO - Epoch(train) [14][80/3757] lr: 1.000e-02 eta: 23:56:39 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.3244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7590 loss: 1.7590 2022/06/27 22:24:03 - mmengine - INFO - Epoch(train) [14][100/3757] lr: 1.000e-02 eta: 23:56:35 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.5480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3885 loss: 2.3885 2022/06/27 22:24:08 - mmengine - INFO - Epoch(train) [14][120/3757] lr: 1.000e-02 eta: 23:56:27 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.2613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7455 loss: 2.7455 2022/06/27 22:24:14 - mmengine - INFO - Epoch(train) [14][140/3757] lr: 1.000e-02 eta: 23:56:28 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 5.2486 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2793 loss: 2.2793 2022/06/27 22:24:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:24:19 - mmengine - INFO - Epoch(train) [14][160/3757] lr: 1.000e-02 eta: 23:56:23 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.4573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0034 loss: 2.0034 2022/06/27 22:24:24 - mmengine - INFO - Epoch(train) [14][180/3757] lr: 1.000e-02 eta: 23:56:16 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.8206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4296 loss: 2.4296 2022/06/27 22:24:30 - mmengine - INFO - Epoch(train) [14][200/3757] lr: 1.000e-02 eta: 23:56:13 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.7577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8069 loss: 1.8069 2022/06/27 22:24:35 - mmengine - INFO - Epoch(train) [14][220/3757] lr: 1.000e-02 eta: 23:56:10 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.9776 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1443 loss: 2.1443 2022/06/27 22:24:40 - mmengine - INFO - Epoch(train) [14][240/3757] lr: 1.000e-02 eta: 23:56:01 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5485 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9920 loss: 1.9920 2022/06/27 22:24:46 - mmengine - INFO - Epoch(train) [14][260/3757] lr: 1.000e-02 eta: 23:56:00 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.1924 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8595 loss: 1.8595 2022/06/27 22:24:52 - mmengine - INFO - Epoch(train) [14][280/3757] lr: 1.000e-02 eta: 23:56:03 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.0279 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1585 loss: 2.1585 2022/06/27 22:24:57 - mmengine - INFO - Epoch(train) [14][300/3757] lr: 1.000e-02 eta: 23:55:50 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0985 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5681 loss: 2.5681 2022/06/27 22:25:02 - mmengine - INFO - Epoch(train) [14][320/3757] lr: 1.000e-02 eta: 23:55:44 time: 0.189 data_time: 0.009 memory: 5150 grad_norm: 5.5673 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8704 loss: 1.8704 2022/06/27 22:25:08 - mmengine - INFO - Epoch(train) [14][340/3757] lr: 1.000e-02 eta: 23:55:43 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.4936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9312 loss: 1.9312 2022/06/27 22:25:13 - mmengine - INFO - Epoch(train) [14][360/3757] lr: 1.000e-02 eta: 23:55:38 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3743 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7546 loss: 1.7546 2022/06/27 22:25:18 - mmengine - INFO - Epoch(train) [14][380/3757] lr: 1.000e-02 eta: 23:55:34 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.5031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8722 loss: 1.8722 2022/06/27 22:25:24 - mmengine - INFO - Epoch(train) [14][400/3757] lr: 1.000e-02 eta: 23:55:33 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.0504 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4361 loss: 2.4361 2022/06/27 22:25:29 - mmengine - INFO - Epoch(train) [14][420/3757] lr: 1.000e-02 eta: 23:55:25 time: 0.260 data_time: 0.008 memory: 5150 grad_norm: 5.7086 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0567 loss: 2.0567 2022/06/27 22:25:35 - mmengine - INFO - Epoch(train) [14][440/3757] lr: 1.000e-02 eta: 23:55:20 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.7319 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2369 loss: 2.2369 2022/06/27 22:25:40 - mmengine - INFO - Epoch(train) [14][460/3757] lr: 1.000e-02 eta: 23:55:16 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 5.5102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2416 loss: 2.2416 2022/06/27 22:25:45 - mmengine - INFO - Epoch(train) [14][480/3757] lr: 1.000e-02 eta: 23:55:06 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 4.6604 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2916 loss: 2.2916 2022/06/27 22:25:50 - mmengine - INFO - Epoch(train) [14][500/3757] lr: 1.000e-02 eta: 23:55:04 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 4.9895 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3514 loss: 2.3514 2022/06/27 22:25:56 - mmengine - INFO - Epoch(train) [14][520/3757] lr: 1.000e-02 eta: 23:55:03 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3181 loss: 2.3181 2022/06/27 22:26:01 - mmengine - INFO - Epoch(train) [14][540/3757] lr: 1.000e-02 eta: 23:54:54 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.2615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4436 loss: 2.4436 2022/06/27 22:26:07 - mmengine - INFO - Epoch(train) [14][560/3757] lr: 1.000e-02 eta: 23:54:52 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8986 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7851 loss: 1.7851 2022/06/27 22:26:12 - mmengine - INFO - Epoch(train) [14][580/3757] lr: 1.000e-02 eta: 23:54:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1752 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2766 loss: 2.2766 2022/06/27 22:26:17 - mmengine - INFO - Epoch(train) [14][600/3757] lr: 1.000e-02 eta: 23:54:37 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.3995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3989 loss: 2.3989 2022/06/27 22:26:22 - mmengine - INFO - Epoch(train) [14][620/3757] lr: 1.000e-02 eta: 23:54:34 time: 0.206 data_time: 0.022 memory: 5150 grad_norm: 5.8340 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1967 loss: 2.1967 2022/06/27 22:26:28 - mmengine - INFO - Epoch(train) [14][640/3757] lr: 1.000e-02 eta: 23:54:29 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.9670 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3472 loss: 2.3472 2022/06/27 22:26:33 - mmengine - INFO - Epoch(train) [14][660/3757] lr: 1.000e-02 eta: 23:54:23 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.5263 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2718 loss: 2.2718 2022/06/27 22:26:37 - mmengine - INFO - Epoch(train) [14][680/3757] lr: 1.000e-02 eta: 23:54:14 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.5021 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1647 loss: 2.1647 2022/06/27 22:26:43 - mmengine - INFO - Epoch(train) [14][700/3757] lr: 1.000e-02 eta: 23:54:12 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 4.9917 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2209 loss: 2.2209 2022/06/27 22:26:49 - mmengine - INFO - Epoch(train) [14][720/3757] lr: 1.000e-02 eta: 23:54:07 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1912 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1456 loss: 2.1456 2022/06/27 22:26:54 - mmengine - INFO - Epoch(train) [14][740/3757] lr: 1.000e-02 eta: 23:54:01 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 6.2437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0271 loss: 2.0271 2022/06/27 22:27:00 - mmengine - INFO - Epoch(train) [14][760/3757] lr: 1.000e-02 eta: 23:54:01 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8861 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6504 loss: 2.6504 2022/06/27 22:27:05 - mmengine - INFO - Epoch(train) [14][780/3757] lr: 1.000e-02 eta: 23:53:53 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4080 loss: 2.4080 2022/06/27 22:27:10 - mmengine - INFO - Epoch(train) [14][800/3757] lr: 1.000e-02 eta: 23:53:49 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2021 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3063 loss: 2.3063 2022/06/27 22:27:16 - mmengine - INFO - Epoch(train) [14][820/3757] lr: 1.000e-02 eta: 23:53:47 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.7336 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7877 loss: 1.7877 2022/06/27 22:27:21 - mmengine - INFO - Epoch(train) [14][840/3757] lr: 1.000e-02 eta: 23:53:38 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.2689 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4548 loss: 2.4548 2022/06/27 22:27:27 - mmengine - INFO - Epoch(train) [14][860/3757] lr: 1.000e-02 eta: 23:53:36 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.2717 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0707 loss: 2.0707 2022/06/27 22:27:32 - mmengine - INFO - Epoch(train) [14][880/3757] lr: 1.000e-02 eta: 23:53:32 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 4.8694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0086 loss: 2.0086 2022/06/27 22:27:37 - mmengine - INFO - Epoch(train) [14][900/3757] lr: 1.000e-02 eta: 23:53:24 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.1368 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7885 loss: 1.7885 2022/06/27 22:27:43 - mmengine - INFO - Epoch(train) [14][920/3757] lr: 1.000e-02 eta: 23:53:24 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1133 loss: 2.1133 2022/06/27 22:27:48 - mmengine - INFO - Epoch(train) [14][940/3757] lr: 1.000e-02 eta: 23:53:17 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6072 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6086 loss: 2.6086 2022/06/27 22:27:53 - mmengine - INFO - Epoch(train) [14][960/3757] lr: 1.000e-02 eta: 23:53:09 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.0587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8924 loss: 1.8924 2022/06/27 22:27:59 - mmengine - INFO - Epoch(train) [14][980/3757] lr: 1.000e-02 eta: 23:53:07 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.3992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1882 loss: 2.1882 2022/06/27 22:28:04 - mmengine - INFO - Epoch(train) [14][1000/3757] lr: 1.000e-02 eta: 23:53:01 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 4.8653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2924 loss: 2.2924 2022/06/27 22:28:08 - mmengine - INFO - Epoch(train) [14][1020/3757] lr: 1.000e-02 eta: 23:52:51 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6473 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3352 loss: 2.3352 2022/06/27 22:28:14 - mmengine - INFO - Epoch(train) [14][1040/3757] lr: 1.000e-02 eta: 23:52:47 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.8059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1004 loss: 2.1004 2022/06/27 22:28:19 - mmengine - INFO - Epoch(train) [14][1060/3757] lr: 1.000e-02 eta: 23:52:44 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.9361 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1813 loss: 2.1813 2022/06/27 22:28:24 - mmengine - INFO - Epoch(train) [14][1080/3757] lr: 1.000e-02 eta: 23:52:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5090 loss: 2.5090 2022/06/27 22:28:30 - mmengine - INFO - Epoch(train) [14][1100/3757] lr: 1.000e-02 eta: 23:52:36 time: 0.192 data_time: 0.019 memory: 5150 grad_norm: 5.5539 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0505 loss: 2.0505 2022/06/27 22:28:36 - mmengine - INFO - Epoch(train) [14][1120/3757] lr: 1.000e-02 eta: 23:52:32 time: 0.615 data_time: 0.007 memory: 5150 grad_norm: 5.0236 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5239 loss: 2.5239 2022/06/27 22:28:41 - mmengine - INFO - Epoch(train) [14][1140/3757] lr: 1.000e-02 eta: 23:52:28 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7593 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.9455 loss: 2.9455 2022/06/27 22:28:47 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:28:47 - mmengine - INFO - Epoch(train) [14][1160/3757] lr: 1.000e-02 eta: 23:52:25 time: 0.206 data_time: 0.021 memory: 5150 grad_norm: 5.6922 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4054 loss: 2.4054 2022/06/27 22:28:51 - mmengine - INFO - Epoch(train) [14][1180/3757] lr: 1.000e-02 eta: 23:52:14 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.9877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3746 loss: 2.3746 2022/06/27 22:28:57 - mmengine - INFO - Epoch(train) [14][1200/3757] lr: 1.000e-02 eta: 23:52:10 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.6313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2211 loss: 2.2211 2022/06/27 22:29:03 - mmengine - INFO - Epoch(train) [14][1220/3757] lr: 1.000e-02 eta: 23:52:10 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.0463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0793 loss: 2.0793 2022/06/27 22:29:08 - mmengine - INFO - Epoch(train) [14][1240/3757] lr: 1.000e-02 eta: 23:52:01 time: 0.480 data_time: 0.007 memory: 5150 grad_norm: 5.4007 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5038 loss: 2.5038 2022/06/27 22:29:13 - mmengine - INFO - Epoch(train) [14][1260/3757] lr: 1.000e-02 eta: 23:51:53 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.3688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1623 loss: 2.1623 2022/06/27 22:29:18 - mmengine - INFO - Epoch(train) [14][1280/3757] lr: 1.000e-02 eta: 23:51:50 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.6349 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2997 loss: 2.2997 2022/06/27 22:29:24 - mmengine - INFO - Epoch(train) [14][1300/3757] lr: 1.000e-02 eta: 23:51:46 time: 0.543 data_time: 0.007 memory: 5150 grad_norm: 4.8493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2231 loss: 2.2231 2022/06/27 22:29:29 - mmengine - INFO - Epoch(train) [14][1320/3757] lr: 1.000e-02 eta: 23:51:38 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 6.0272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3238 loss: 2.3238 2022/06/27 22:29:34 - mmengine - INFO - Epoch(train) [14][1340/3757] lr: 1.000e-02 eta: 23:51:36 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.2795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2431 loss: 2.2431 2022/06/27 22:29:40 - mmengine - INFO - Epoch(train) [14][1360/3757] lr: 1.000e-02 eta: 23:51:31 time: 0.231 data_time: 0.006 memory: 5150 grad_norm: 4.8195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4946 loss: 2.4946 2022/06/27 22:29:45 - mmengine - INFO - Epoch(train) [14][1380/3757] lr: 1.000e-02 eta: 23:51:25 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.6322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3007 loss: 2.3007 2022/06/27 22:29:50 - mmengine - INFO - Epoch(train) [14][1400/3757] lr: 1.000e-02 eta: 23:51:20 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1979 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3148 loss: 2.3148 2022/06/27 22:29:56 - mmengine - INFO - Epoch(train) [14][1420/3757] lr: 1.000e-02 eta: 23:51:17 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 5.7573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0673 loss: 2.0673 2022/06/27 22:30:01 - mmengine - INFO - Epoch(train) [14][1440/3757] lr: 1.000e-02 eta: 23:51:09 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.6277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9432 loss: 1.9432 2022/06/27 22:30:07 - mmengine - INFO - Epoch(train) [14][1460/3757] lr: 1.000e-02 eta: 23:51:09 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.4901 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3319 loss: 2.3319 2022/06/27 22:30:11 - mmengine - INFO - Epoch(train) [14][1480/3757] lr: 1.000e-02 eta: 23:51:00 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 4.7983 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1446 loss: 2.1446 2022/06/27 22:30:17 - mmengine - INFO - Epoch(train) [14][1500/3757] lr: 1.000e-02 eta: 23:50:57 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.7239 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3158 loss: 2.3158 2022/06/27 22:30:23 - mmengine - INFO - Epoch(train) [14][1520/3757] lr: 1.000e-02 eta: 23:50:57 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 5.5840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3861 loss: 2.3861 2022/06/27 22:30:28 - mmengine - INFO - Epoch(train) [14][1540/3757] lr: 1.000e-02 eta: 23:50:51 time: 0.933 data_time: 0.015 memory: 5150 grad_norm: 5.6860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4458 loss: 2.4458 2022/06/27 22:30:33 - mmengine - INFO - Epoch(train) [14][1560/3757] lr: 1.000e-02 eta: 23:50:44 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1251 loss: 2.1251 2022/06/27 22:30:39 - mmengine - INFO - Epoch(train) [14][1580/3757] lr: 1.000e-02 eta: 23:50:43 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 4.4617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4291 loss: 2.4291 2022/06/27 22:30:45 - mmengine - INFO - Epoch(train) [14][1600/3757] lr: 1.000e-02 eta: 23:50:40 time: 0.239 data_time: 0.013 memory: 5150 grad_norm: 5.8708 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6777 loss: 2.6777 2022/06/27 22:30:49 - mmengine - INFO - Epoch(train) [14][1620/3757] lr: 1.000e-02 eta: 23:50:28 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9270 loss: 1.9270 2022/06/27 22:30:53 - mmengine - INFO - Epoch(train) [14][1640/3757] lr: 1.000e-02 eta: 23:50:15 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1528 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4383 loss: 2.4383 2022/06/27 22:30:59 - mmengine - INFO - Epoch(train) [14][1660/3757] lr: 1.000e-02 eta: 23:50:11 time: 0.313 data_time: 0.011 memory: 5150 grad_norm: 5.1280 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1631 loss: 2.1631 2022/06/27 22:31:04 - mmengine - INFO - Epoch(train) [14][1680/3757] lr: 1.000e-02 eta: 23:50:06 time: 0.201 data_time: 0.028 memory: 5150 grad_norm: 5.8027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0527 loss: 2.0527 2022/06/27 22:31:09 - mmengine - INFO - Epoch(train) [14][1700/3757] lr: 1.000e-02 eta: 23:50:00 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1445 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1030 loss: 2.1030 2022/06/27 22:31:15 - mmengine - INFO - Epoch(train) [14][1720/3757] lr: 1.000e-02 eta: 23:49:56 time: 0.220 data_time: 0.017 memory: 5150 grad_norm: 5.4941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2096 loss: 2.2096 2022/06/27 22:31:20 - mmengine - INFO - Epoch(train) [14][1740/3757] lr: 1.000e-02 eta: 23:49:50 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.5265 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2819 loss: 2.2819 2022/06/27 22:31:26 - mmengine - INFO - Epoch(train) [14][1760/3757] lr: 1.000e-02 eta: 23:49:47 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5366 loss: 2.5366 2022/06/27 22:31:31 - mmengine - INFO - Epoch(train) [14][1780/3757] lr: 1.000e-02 eta: 23:49:42 time: 0.545 data_time: 0.010 memory: 5150 grad_norm: 6.0103 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4836 loss: 2.4836 2022/06/27 22:31:36 - mmengine - INFO - Epoch(train) [14][1800/3757] lr: 1.000e-02 eta: 23:49:34 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 5.5200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2989 loss: 2.2989 2022/06/27 22:31:41 - mmengine - INFO - Epoch(train) [14][1820/3757] lr: 1.000e-02 eta: 23:49:30 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 5.6623 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/06/27 22:31:47 - mmengine - INFO - Epoch(train) [14][1840/3757] lr: 1.000e-02 eta: 23:49:29 time: 0.504 data_time: 0.007 memory: 5150 grad_norm: 5.0783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0866 loss: 2.0866 2022/06/27 22:31:52 - mmengine - INFO - Epoch(train) [14][1860/3757] lr: 1.000e-02 eta: 23:49:22 time: 0.208 data_time: 0.021 memory: 5150 grad_norm: 5.3646 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1076 loss: 2.1076 2022/06/27 22:31:57 - mmengine - INFO - Epoch(train) [14][1880/3757] lr: 1.000e-02 eta: 23:49:17 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5708 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5313 loss: 2.5313 2022/06/27 22:32:03 - mmengine - INFO - Epoch(train) [14][1900/3757] lr: 1.000e-02 eta: 23:49:13 time: 0.220 data_time: 0.016 memory: 5150 grad_norm: 5.4524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7302 loss: 2.7302 2022/06/27 22:32:08 - mmengine - INFO - Epoch(train) [14][1920/3757] lr: 1.000e-02 eta: 23:49:06 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 4.6016 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6212 loss: 2.6212 2022/06/27 22:32:14 - mmengine - INFO - Epoch(train) [14][1940/3757] lr: 1.000e-02 eta: 23:49:04 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 5.1650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7672 loss: 1.7672 2022/06/27 22:32:19 - mmengine - INFO - Epoch(train) [14][1960/3757] lr: 1.000e-02 eta: 23:48:58 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 5.8759 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2421 loss: 2.2421 2022/06/27 22:32:24 - mmengine - INFO - Epoch(train) [14][1980/3757] lr: 1.000e-02 eta: 23:48:51 time: 0.207 data_time: 0.022 memory: 5150 grad_norm: 5.1892 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4575 loss: 2.4575 2022/06/27 22:32:29 - mmengine - INFO - Epoch(train) [14][2000/3757] lr: 1.000e-02 eta: 23:48:46 time: 0.195 data_time: 0.021 memory: 5150 grad_norm: 5.5671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3997 loss: 2.3997 2022/06/27 22:32:35 - mmengine - INFO - Epoch(train) [14][2020/3757] lr: 1.000e-02 eta: 23:48:42 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6649 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5239 loss: 2.5239 2022/06/27 22:32:40 - mmengine - INFO - Epoch(train) [14][2040/3757] lr: 1.000e-02 eta: 23:48:37 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 6.1179 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9404 loss: 1.9404 2022/06/27 22:32:46 - mmengine - INFO - Epoch(train) [14][2060/3757] lr: 1.000e-02 eta: 23:48:33 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.9049 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3913 loss: 2.3913 2022/06/27 22:32:51 - mmengine - INFO - Epoch(train) [14][2080/3757] lr: 1.000e-02 eta: 23:48:26 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.6569 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1018 loss: 2.1018 2022/06/27 22:32:56 - mmengine - INFO - Epoch(train) [14][2100/3757] lr: 1.000e-02 eta: 23:48:22 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.1195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2301 loss: 2.2301 2022/06/27 22:33:02 - mmengine - INFO - Epoch(train) [14][2120/3757] lr: 1.000e-02 eta: 23:48:21 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 6.1176 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3029 loss: 2.3029 2022/06/27 22:33:07 - mmengine - INFO - Epoch(train) [14][2140/3757] lr: 1.000e-02 eta: 23:48:11 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.2227 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1667 loss: 2.1667 2022/06/27 22:33:12 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:33:12 - mmengine - INFO - Epoch(train) [14][2160/3757] lr: 1.000e-02 eta: 23:48:07 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.2871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7933 loss: 1.7933 2022/06/27 22:33:17 - mmengine - INFO - Epoch(train) [14][2180/3757] lr: 1.000e-02 eta: 23:48:02 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.0618 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4892 loss: 2.4892 2022/06/27 22:33:23 - mmengine - INFO - Epoch(train) [14][2200/3757] lr: 1.000e-02 eta: 23:47:57 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.6885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2060 loss: 2.2060 2022/06/27 22:33:28 - mmengine - INFO - Epoch(train) [14][2220/3757] lr: 1.000e-02 eta: 23:47:49 time: 0.210 data_time: 0.016 memory: 5150 grad_norm: 6.1786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3014 loss: 2.3014 2022/06/27 22:33:33 - mmengine - INFO - Epoch(train) [14][2240/3757] lr: 1.000e-02 eta: 23:47:47 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6747 loss: 1.6747 2022/06/27 22:33:38 - mmengine - INFO - Epoch(train) [14][2260/3757] lr: 1.000e-02 eta: 23:47:37 time: 0.218 data_time: 0.018 memory: 5150 grad_norm: 5.8870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3553 loss: 2.3553 2022/06/27 22:33:44 - mmengine - INFO - Epoch(train) [14][2280/3757] lr: 1.000e-02 eta: 23:47:35 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.8787 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5754 loss: 2.5754 2022/06/27 22:33:49 - mmengine - INFO - Epoch(train) [14][2300/3757] lr: 1.000e-02 eta: 23:47:28 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3124 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8737 loss: 1.8737 2022/06/27 22:33:54 - mmengine - INFO - Epoch(train) [14][2320/3757] lr: 1.000e-02 eta: 23:47:21 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1128 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4845 loss: 2.4845 2022/06/27 22:33:59 - mmengine - INFO - Epoch(train) [14][2340/3757] lr: 1.000e-02 eta: 23:47:19 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.1891 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4963 loss: 2.4963 2022/06/27 22:34:04 - mmengine - INFO - Epoch(train) [14][2360/3757] lr: 1.000e-02 eta: 23:47:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.9586 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4705 loss: 2.4705 2022/06/27 22:34:09 - mmengine - INFO - Epoch(train) [14][2380/3757] lr: 1.000e-02 eta: 23:47:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.2473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0324 loss: 2.0324 2022/06/27 22:34:14 - mmengine - INFO - Epoch(train) [14][2400/3757] lr: 1.000e-02 eta: 23:46:56 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.5515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4015 loss: 2.4015 2022/06/27 22:34:20 - mmengine - INFO - Epoch(train) [14][2420/3757] lr: 1.000e-02 eta: 23:46:52 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.5662 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2393 loss: 2.2393 2022/06/27 22:34:25 - mmengine - INFO - Epoch(train) [14][2440/3757] lr: 1.000e-02 eta: 23:46:47 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.1450 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4697 loss: 2.4697 2022/06/27 22:34:30 - mmengine - INFO - Epoch(train) [14][2460/3757] lr: 1.000e-02 eta: 23:46:41 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.2659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1540 loss: 2.1540 2022/06/27 22:34:36 - mmengine - INFO - Epoch(train) [14][2480/3757] lr: 1.000e-02 eta: 23:46:39 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.4852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2249 loss: 2.2249 2022/06/27 22:34:41 - mmengine - INFO - Epoch(train) [14][2500/3757] lr: 1.000e-02 eta: 23:46:33 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.3705 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1161 loss: 2.1161 2022/06/27 22:34:47 - mmengine - INFO - Epoch(train) [14][2520/3757] lr: 1.000e-02 eta: 23:46:34 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.0544 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4789 loss: 2.4789 2022/06/27 22:34:51 - mmengine - INFO - Epoch(train) [14][2540/3757] lr: 1.000e-02 eta: 23:46:21 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 5.9123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/06/27 22:34:56 - mmengine - INFO - Epoch(train) [14][2560/3757] lr: 1.000e-02 eta: 23:46:08 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.1398 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5057 loss: 2.5057 2022/06/27 22:35:01 - mmengine - INFO - Epoch(train) [14][2580/3757] lr: 1.000e-02 eta: 23:46:02 time: 0.336 data_time: 0.007 memory: 5150 grad_norm: 6.5579 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3862 loss: 2.3862 2022/06/27 22:35:06 - mmengine - INFO - Epoch(train) [14][2600/3757] lr: 1.000e-02 eta: 23:45:59 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 5.7538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1379 loss: 2.1379 2022/06/27 22:35:12 - mmengine - INFO - Epoch(train) [14][2620/3757] lr: 1.000e-02 eta: 23:45:55 time: 0.348 data_time: 0.017 memory: 5150 grad_norm: 5.8572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1366 loss: 2.1366 2022/06/27 22:35:18 - mmengine - INFO - Epoch(train) [14][2640/3757] lr: 1.000e-02 eta: 23:45:53 time: 0.864 data_time: 0.009 memory: 5150 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6651 loss: 2.6651 2022/06/27 22:35:23 - mmengine - INFO - Epoch(train) [14][2660/3757] lr: 1.000e-02 eta: 23:45:48 time: 0.243 data_time: 0.063 memory: 5150 grad_norm: 5.3560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2384 loss: 2.2384 2022/06/27 22:35:28 - mmengine - INFO - Epoch(train) [14][2680/3757] lr: 1.000e-02 eta: 23:45:40 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.1398 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1341 loss: 2.1341 2022/06/27 22:35:33 - mmengine - INFO - Epoch(train) [14][2700/3757] lr: 1.000e-02 eta: 23:45:37 time: 0.395 data_time: 0.007 memory: 5150 grad_norm: 5.3723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3652 loss: 2.3652 2022/06/27 22:35:39 - mmengine - INFO - Epoch(train) [14][2720/3757] lr: 1.000e-02 eta: 23:45:31 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.3170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1124 loss: 2.1124 2022/06/27 22:35:44 - mmengine - INFO - Epoch(train) [14][2740/3757] lr: 1.000e-02 eta: 23:45:26 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.9749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6727 loss: 2.6727 2022/06/27 22:35:49 - mmengine - INFO - Epoch(train) [14][2760/3757] lr: 1.000e-02 eta: 23:45:23 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 5.2850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5019 loss: 2.5019 2022/06/27 22:35:55 - mmengine - INFO - Epoch(train) [14][2780/3757] lr: 1.000e-02 eta: 23:45:18 time: 0.223 data_time: 0.006 memory: 5150 grad_norm: 5.3379 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0329 loss: 2.0329 2022/06/27 22:35:59 - mmengine - INFO - Epoch(train) [14][2800/3757] lr: 1.000e-02 eta: 23:45:08 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3617 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/06/27 22:36:05 - mmengine - INFO - Epoch(train) [14][2820/3757] lr: 1.000e-02 eta: 23:45:07 time: 0.494 data_time: 0.011 memory: 5150 grad_norm: 5.3125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/06/27 22:36:11 - mmengine - INFO - Epoch(train) [14][2840/3757] lr: 1.000e-02 eta: 23:45:02 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.1591 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1349 loss: 2.1349 2022/06/27 22:36:16 - mmengine - INFO - Epoch(train) [14][2860/3757] lr: 1.000e-02 eta: 23:44:57 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1054 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7662 loss: 2.7662 2022/06/27 22:36:21 - mmengine - INFO - Epoch(train) [14][2880/3757] lr: 1.000e-02 eta: 23:44:53 time: 0.794 data_time: 0.015 memory: 5150 grad_norm: 5.8671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4988 loss: 2.4988 2022/06/27 22:36:26 - mmengine - INFO - Epoch(train) [14][2900/3757] lr: 1.000e-02 eta: 23:44:45 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2414 loss: 2.2414 2022/06/27 22:36:32 - mmengine - INFO - Epoch(train) [14][2920/3757] lr: 1.000e-02 eta: 23:44:42 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1955 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9324 loss: 1.9324 2022/06/27 22:36:38 - mmengine - INFO - Epoch(train) [14][2940/3757] lr: 1.000e-02 eta: 23:44:39 time: 0.824 data_time: 0.017 memory: 5150 grad_norm: 4.8856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0417 loss: 2.0417 2022/06/27 22:36:43 - mmengine - INFO - Epoch(train) [14][2960/3757] lr: 1.000e-02 eta: 23:44:35 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 5.2499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7931 loss: 1.7931 2022/06/27 22:36:48 - mmengine - INFO - Epoch(train) [14][2980/3757] lr: 1.000e-02 eta: 23:44:27 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.2481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1610 loss: 2.1610 2022/06/27 22:36:54 - mmengine - INFO - Epoch(train) [14][3000/3757] lr: 1.000e-02 eta: 23:44:24 time: 0.647 data_time: 0.032 memory: 5150 grad_norm: 5.0470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9630 loss: 1.9630 2022/06/27 22:36:59 - mmengine - INFO - Epoch(train) [14][3020/3757] lr: 1.000e-02 eta: 23:44:19 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6208 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4341 loss: 2.4341 2022/06/27 22:37:04 - mmengine - INFO - Epoch(train) [14][3040/3757] lr: 1.000e-02 eta: 23:44:15 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 6.1730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2829 loss: 2.2829 2022/06/27 22:37:10 - mmengine - INFO - Epoch(train) [14][3060/3757] lr: 1.000e-02 eta: 23:44:12 time: 1.035 data_time: 0.019 memory: 5150 grad_norm: 5.5552 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1796 loss: 2.1796 2022/06/27 22:37:15 - mmengine - INFO - Epoch(train) [14][3080/3757] lr: 1.000e-02 eta: 23:44:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 4.9223 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3633 loss: 2.3633 2022/06/27 22:37:21 - mmengine - INFO - Epoch(train) [14][3100/3757] lr: 1.000e-02 eta: 23:44:02 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.2856 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4419 loss: 2.4419 2022/06/27 22:37:27 - mmengine - INFO - Epoch(train) [14][3120/3757] lr: 1.000e-02 eta: 23:44:00 time: 0.995 data_time: 0.010 memory: 5150 grad_norm: 4.9693 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3022 loss: 2.3022 2022/06/27 22:37:31 - mmengine - INFO - Epoch(train) [14][3140/3757] lr: 1.000e-02 eta: 23:43:51 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.0207 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5223 loss: 2.5223 2022/06/27 22:37:37 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:37:37 - mmengine - INFO - Epoch(train) [14][3160/3757] lr: 1.000e-02 eta: 23:43:47 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.0275 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3503 loss: 2.3503 2022/06/27 22:37:43 - mmengine - INFO - Epoch(train) [14][3180/3757] lr: 1.000e-02 eta: 23:43:47 time: 1.592 data_time: 0.011 memory: 5150 grad_norm: 5.2228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3317 loss: 2.3317 2022/06/27 22:37:47 - mmengine - INFO - Epoch(train) [14][3200/3757] lr: 1.000e-02 eta: 23:43:35 time: 0.189 data_time: 0.010 memory: 5150 grad_norm: 5.7202 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5565 loss: 2.5565 2022/06/27 22:37:53 - mmengine - INFO - Epoch(train) [14][3220/3757] lr: 1.000e-02 eta: 23:43:31 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 4.6445 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4832 loss: 2.4832 2022/06/27 22:37:58 - mmengine - INFO - Epoch(train) [14][3240/3757] lr: 1.000e-02 eta: 23:43:29 time: 1.087 data_time: 0.010 memory: 5150 grad_norm: 5.4654 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9965 loss: 1.9965 2022/06/27 22:38:04 - mmengine - INFO - Epoch(train) [14][3260/3757] lr: 1.000e-02 eta: 23:43:23 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.4905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1035 loss: 2.1035 2022/06/27 22:38:09 - mmengine - INFO - Epoch(train) [14][3280/3757] lr: 1.000e-02 eta: 23:43:20 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.3251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2465 loss: 2.2465 2022/06/27 22:38:15 - mmengine - INFO - Epoch(train) [14][3300/3757] lr: 1.000e-02 eta: 23:43:17 time: 1.137 data_time: 0.007 memory: 5150 grad_norm: 5.6679 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3120 loss: 2.3120 2022/06/27 22:38:20 - mmengine - INFO - Epoch(train) [14][3320/3757] lr: 1.000e-02 eta: 23:43:10 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 5.5770 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6002 loss: 2.6002 2022/06/27 22:38:26 - mmengine - INFO - Epoch(train) [14][3340/3757] lr: 1.000e-02 eta: 23:43:08 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 5.4882 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2546 loss: 2.2546 2022/06/27 22:38:31 - mmengine - INFO - Epoch(train) [14][3360/3757] lr: 1.000e-02 eta: 23:43:02 time: 1.054 data_time: 0.010 memory: 5150 grad_norm: 5.0887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0658 loss: 2.0658 2022/06/27 22:38:36 - mmengine - INFO - Epoch(train) [14][3380/3757] lr: 1.000e-02 eta: 23:42:56 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.3449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6014 loss: 2.6014 2022/06/27 22:38:41 - mmengine - INFO - Epoch(train) [14][3400/3757] lr: 1.000e-02 eta: 23:42:48 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.9379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2237 loss: 2.2237 2022/06/27 22:38:46 - mmengine - INFO - Epoch(train) [14][3420/3757] lr: 1.000e-02 eta: 23:42:40 time: 0.383 data_time: 0.008 memory: 5150 grad_norm: 5.3232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1301 loss: 2.1301 2022/06/27 22:38:50 - mmengine - INFO - Epoch(train) [14][3440/3757] lr: 1.000e-02 eta: 23:42:32 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.0949 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1870 loss: 2.1870 2022/06/27 22:38:56 - mmengine - INFO - Epoch(train) [14][3460/3757] lr: 1.000e-02 eta: 23:42:29 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.9384 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.5406 loss: 2.5406 2022/06/27 22:39:02 - mmengine - INFO - Epoch(train) [14][3480/3757] lr: 1.000e-02 eta: 23:42:28 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.6852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5457 loss: 2.5457 2022/06/27 22:39:07 - mmengine - INFO - Epoch(train) [14][3500/3757] lr: 1.000e-02 eta: 23:42:20 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.0574 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5940 loss: 2.5940 2022/06/27 22:39:12 - mmengine - INFO - Epoch(train) [14][3520/3757] lr: 1.000e-02 eta: 23:42:15 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.0254 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5808 loss: 2.5808 2022/06/27 22:39:18 - mmengine - INFO - Epoch(train) [14][3540/3757] lr: 1.000e-02 eta: 23:42:14 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.7016 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4698 loss: 2.4698 2022/06/27 22:39:23 - mmengine - INFO - Epoch(train) [14][3560/3757] lr: 1.000e-02 eta: 23:42:08 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.8936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4900 loss: 2.4900 2022/06/27 22:39:28 - mmengine - INFO - Epoch(train) [14][3580/3757] lr: 1.000e-02 eta: 23:42:00 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3797 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1343 loss: 2.1343 2022/06/27 22:39:34 - mmengine - INFO - Epoch(train) [14][3600/3757] lr: 1.000e-02 eta: 23:41:55 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 5.7200 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2620 loss: 2.2620 2022/06/27 22:39:38 - mmengine - INFO - Epoch(train) [14][3620/3757] lr: 1.000e-02 eta: 23:41:47 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.5740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6555 loss: 2.6555 2022/06/27 22:39:44 - mmengine - INFO - Epoch(train) [14][3640/3757] lr: 1.000e-02 eta: 23:41:45 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.1510 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1146 loss: 2.1146 2022/06/27 22:39:50 - mmengine - INFO - Epoch(train) [14][3660/3757] lr: 1.000e-02 eta: 23:41:40 time: 0.235 data_time: 0.010 memory: 5150 grad_norm: 6.1288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/06/27 22:39:54 - mmengine - INFO - Epoch(train) [14][3680/3757] lr: 1.000e-02 eta: 23:41:30 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2050 loss: 2.2050 2022/06/27 22:40:00 - mmengine - INFO - Epoch(train) [14][3700/3757] lr: 1.000e-02 eta: 23:41:27 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.1377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8815 loss: 1.8815 2022/06/27 22:40:05 - mmengine - INFO - Epoch(train) [14][3720/3757] lr: 1.000e-02 eta: 23:41:24 time: 0.762 data_time: 0.010 memory: 5150 grad_norm: 5.1898 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2374 loss: 2.2374 2022/06/27 22:40:10 - mmengine - INFO - Epoch(train) [14][3740/3757] lr: 1.000e-02 eta: 23:41:16 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3223 loss: 2.3223 2022/06/27 22:40:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:40:47 - mmengine - INFO - Epoch(val) [14][20/310] eta: 0:05:43 time: 1.083 data_time: 0.428 memory: 9746 2022/06/27 22:41:09 - mmengine - INFO - Epoch(val) [14][40/310] eta: 0:04:53 time: 1.027 data_time: 0.388 memory: 9746 2022/06/27 22:41:33 - mmengine - INFO - Epoch(val) [14][60/310] eta: 0:04:17 time: 1.066 data_time: 0.411 memory: 9746 2022/06/27 22:41:56 - mmengine - INFO - Epoch(val) [14][80/310] eta: 0:04:35 time: 0.921 data_time: 0.270 memory: 9746 2022/06/27 22:42:20 - mmengine - INFO - Epoch(val) [14][100/310] eta: 0:04:02 time: 2.079 data_time: 1.430 memory: 9746 2022/06/27 22:42:41 - mmengine - INFO - Epoch(val) [14][120/310] eta: 0:03:22 time: 1.107 data_time: 0.480 memory: 9746 2022/06/27 22:43:05 - mmengine - INFO - Epoch(val) [14][140/310] eta: 0:03:19 time: 1.015 data_time: 0.367 memory: 9746 2022/06/27 22:43:30 - mmengine - INFO - Epoch(val) [14][160/310] eta: 0:03:19 time: 3.885 data_time: 3.194 memory: 9746 2022/06/27 22:43:53 - mmengine - INFO - Epoch(val) [14][180/310] eta: 0:02:47 time: 1.144 data_time: 0.473 memory: 9746 2022/06/27 22:44:15 - mmengine - INFO - Epoch(val) [14][200/310] eta: 0:02:06 time: 1.053 data_time: 0.411 memory: 9746 2022/06/27 22:44:36 - mmengine - INFO - Epoch(val) [14][220/310] eta: 0:01:34 time: 1.051 data_time: 0.410 memory: 9746 2022/06/27 22:44:58 - mmengine - INFO - Epoch(val) [14][240/310] eta: 0:01:16 time: 1.046 data_time: 0.414 memory: 9746 2022/06/27 22:45:20 - mmengine - INFO - Epoch(val) [14][260/310] eta: 0:00:54 time: 1.041 data_time: 0.378 memory: 9746 2022/06/27 22:45:43 - mmengine - INFO - Epoch(val) [14][280/310] eta: 0:00:34 time: 1.948 data_time: 1.289 memory: 9746 2022/06/27 22:46:03 - mmengine - INFO - Epoch(val) [14][300/310] eta: 0:00:09 time: 0.687 data_time: 0.097 memory: 9746 2022/06/27 22:46:16 - mmengine - INFO - Epoch(val) [14][310/310] acc/top1: 0.5762 acc/top5: 0.8185 acc/mean1: 0.5762 2022/06/27 22:46:24 - mmengine - INFO - Epoch(train) [15][20/3757] lr: 1.000e-02 eta: 23:41:13 time: 0.191 data_time: 0.007 memory: 9746 grad_norm: 5.4404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7409 loss: 2.7409 2022/06/27 22:46:30 - mmengine - INFO - Epoch(train) [15][40/3757] lr: 1.000e-02 eta: 23:41:12 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.3231 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0816 loss: 2.0816 2022/06/27 22:46:35 - mmengine - INFO - Epoch(train) [15][60/3757] lr: 1.000e-02 eta: 23:41:05 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.7134 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1269 loss: 2.1269 2022/06/27 22:46:41 - mmengine - INFO - Epoch(train) [15][80/3757] lr: 1.000e-02 eta: 23:41:00 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 5.1408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1134 loss: 2.1134 2022/06/27 22:46:46 - mmengine - INFO - Epoch(train) [15][100/3757] lr: 1.000e-02 eta: 23:40:58 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9297 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4430 loss: 2.4430 2022/06/27 22:46:51 - mmengine - INFO - Epoch(train) [15][120/3757] lr: 1.000e-02 eta: 23:40:49 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.2592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3610 loss: 2.3610 2022/06/27 22:46:57 - mmengine - INFO - Epoch(train) [15][140/3757] lr: 1.000e-02 eta: 23:40:46 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.4966 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3183 loss: 2.3183 2022/06/27 22:47:02 - mmengine - INFO - Epoch(train) [15][160/3757] lr: 1.000e-02 eta: 23:40:43 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 4.9700 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4306 loss: 2.4306 2022/06/27 22:47:07 - mmengine - INFO - Epoch(train) [15][180/3757] lr: 1.000e-02 eta: 23:40:36 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4407 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1702 loss: 2.1702 2022/06/27 22:47:13 - mmengine - INFO - Epoch(train) [15][200/3757] lr: 1.000e-02 eta: 23:40:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4474 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4376 loss: 2.4376 2022/06/27 22:47:19 - mmengine - INFO - Epoch(train) [15][220/3757] lr: 1.000e-02 eta: 23:40:29 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.6788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1868 loss: 2.1868 2022/06/27 22:47:24 - mmengine - INFO - Epoch(train) [15][240/3757] lr: 1.000e-02 eta: 23:40:21 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 6.6307 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3334 loss: 2.3334 2022/06/27 22:47:29 - mmengine - INFO - Epoch(train) [15][260/3757] lr: 1.000e-02 eta: 23:40:19 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.8257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9225 loss: 1.9225 2022/06/27 22:47:35 - mmengine - INFO - Epoch(train) [15][280/3757] lr: 1.000e-02 eta: 23:40:15 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.1083 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2337 loss: 2.2337 2022/06/27 22:47:40 - mmengine - INFO - Epoch(train) [15][300/3757] lr: 1.000e-02 eta: 23:40:09 time: 0.193 data_time: 0.016 memory: 5150 grad_norm: 5.4244 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3010 loss: 2.3010 2022/06/27 22:47:45 - mmengine - INFO - Epoch(train) [15][320/3757] lr: 1.000e-02 eta: 23:40:05 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3664 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0845 loss: 2.0845 2022/06/27 22:47:51 - mmengine - INFO - Epoch(train) [15][340/3757] lr: 1.000e-02 eta: 23:40:01 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.2334 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1962 loss: 2.1962 2022/06/27 22:47:56 - mmengine - INFO - Epoch(train) [15][360/3757] lr: 1.000e-02 eta: 23:39:55 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5626 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0496 loss: 2.0496 2022/06/27 22:48:02 - mmengine - INFO - Epoch(train) [15][380/3757] lr: 1.000e-02 eta: 23:39:51 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4288 loss: 2.4288 2022/06/27 22:48:07 - mmengine - INFO - Epoch(train) [15][400/3757] lr: 1.000e-02 eta: 23:39:48 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.5429 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6079 loss: 2.6079 2022/06/27 22:48:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:48:11 - mmengine - INFO - Epoch(train) [15][420/3757] lr: 1.000e-02 eta: 23:39:36 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.4203 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0715 loss: 2.0715 2022/06/27 22:48:16 - mmengine - INFO - Epoch(train) [15][440/3757] lr: 1.000e-02 eta: 23:39:28 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.4855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6810 loss: 2.6810 2022/06/27 22:48:22 - mmengine - INFO - Epoch(train) [15][460/3757] lr: 1.000e-02 eta: 23:39:23 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.2226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.8415 loss: 2.8415 2022/06/27 22:48:27 - mmengine - INFO - Epoch(train) [15][480/3757] lr: 1.000e-02 eta: 23:39:19 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.5183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2452 loss: 2.2452 2022/06/27 22:48:32 - mmengine - INFO - Epoch(train) [15][500/3757] lr: 1.000e-02 eta: 23:39:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6040 loss: 2.6040 2022/06/27 22:48:38 - mmengine - INFO - Epoch(train) [15][520/3757] lr: 1.000e-02 eta: 23:39:10 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 4.8846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9245 loss: 1.9245 2022/06/27 22:48:43 - mmengine - INFO - Epoch(train) [15][540/3757] lr: 1.000e-02 eta: 23:39:03 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.6543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2450 loss: 2.2450 2022/06/27 22:48:49 - mmengine - INFO - Epoch(train) [15][560/3757] lr: 1.000e-02 eta: 23:39:00 time: 0.604 data_time: 0.010 memory: 5150 grad_norm: 5.6994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1359 loss: 2.1359 2022/06/27 22:48:54 - mmengine - INFO - Epoch(train) [15][580/3757] lr: 1.000e-02 eta: 23:38:56 time: 0.428 data_time: 0.007 memory: 5150 grad_norm: 5.6102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4177 loss: 2.4177 2022/06/27 22:48:59 - mmengine - INFO - Epoch(train) [15][600/3757] lr: 1.000e-02 eta: 23:38:51 time: 0.215 data_time: 0.017 memory: 5150 grad_norm: 5.5240 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1916 loss: 2.1916 2022/06/27 22:49:05 - mmengine - INFO - Epoch(train) [15][620/3757] lr: 1.000e-02 eta: 23:38:48 time: 0.677 data_time: 0.008 memory: 5150 grad_norm: 5.9678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2494 loss: 2.2494 2022/06/27 22:49:10 - mmengine - INFO - Epoch(train) [15][640/3757] lr: 1.000e-02 eta: 23:38:42 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 4.7192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3653 loss: 2.3653 2022/06/27 22:49:16 - mmengine - INFO - Epoch(train) [15][660/3757] lr: 1.000e-02 eta: 23:38:38 time: 0.213 data_time: 0.036 memory: 5150 grad_norm: 5.4840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0261 loss: 2.0261 2022/06/27 22:49:21 - mmengine - INFO - Epoch(train) [15][680/3757] lr: 1.000e-02 eta: 23:38:34 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 5.5311 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6495 loss: 2.6495 2022/06/27 22:49:27 - mmengine - INFO - Epoch(train) [15][700/3757] lr: 1.000e-02 eta: 23:38:32 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.1569 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1113 loss: 2.1113 2022/06/27 22:49:32 - mmengine - INFO - Epoch(train) [15][720/3757] lr: 1.000e-02 eta: 23:38:24 time: 0.196 data_time: 0.025 memory: 5150 grad_norm: 5.4468 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9801 loss: 1.9801 2022/06/27 22:49:38 - mmengine - INFO - Epoch(train) [15][740/3757] lr: 1.000e-02 eta: 23:38:21 time: 0.664 data_time: 0.012 memory: 5150 grad_norm: 5.3640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1575 loss: 2.1575 2022/06/27 22:49:43 - mmengine - INFO - Epoch(train) [15][760/3757] lr: 1.000e-02 eta: 23:38:15 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 5.7006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2614 loss: 2.2614 2022/06/27 22:49:48 - mmengine - INFO - Epoch(train) [15][780/3757] lr: 1.000e-02 eta: 23:38:11 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 6.0465 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6963 loss: 2.6963 2022/06/27 22:49:53 - mmengine - INFO - Epoch(train) [15][800/3757] lr: 1.000e-02 eta: 23:38:04 time: 1.095 data_time: 0.014 memory: 5150 grad_norm: 5.3770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1335 loss: 2.1335 2022/06/27 22:49:58 - mmengine - INFO - Epoch(train) [15][820/3757] lr: 1.000e-02 eta: 23:37:55 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.2253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5052 loss: 2.5052 2022/06/27 22:50:03 - mmengine - INFO - Epoch(train) [15][840/3757] lr: 1.000e-02 eta: 23:37:51 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.2109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2717 loss: 2.2717 2022/06/27 22:50:09 - mmengine - INFO - Epoch(train) [15][860/3757] lr: 1.000e-02 eta: 23:37:49 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.2903 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2942 loss: 2.2942 2022/06/27 22:50:15 - mmengine - INFO - Epoch(train) [15][880/3757] lr: 1.000e-02 eta: 23:37:45 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.0751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2718 loss: 2.2718 2022/06/27 22:50:20 - mmengine - INFO - Epoch(train) [15][900/3757] lr: 1.000e-02 eta: 23:37:39 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.2103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1483 loss: 2.1483 2022/06/27 22:50:25 - mmengine - INFO - Epoch(train) [15][920/3757] lr: 1.000e-02 eta: 23:37:34 time: 0.262 data_time: 0.010 memory: 5150 grad_norm: 6.3661 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3897 loss: 2.3897 2022/06/27 22:50:31 - mmengine - INFO - Epoch(train) [15][940/3757] lr: 1.000e-02 eta: 23:37:33 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 4.6103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3765 loss: 2.3765 2022/06/27 22:50:36 - mmengine - INFO - Epoch(train) [15][960/3757] lr: 1.000e-02 eta: 23:37:26 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.7445 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1891 loss: 2.1891 2022/06/27 22:50:41 - mmengine - INFO - Epoch(train) [15][980/3757] lr: 1.000e-02 eta: 23:37:21 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 5.5931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0433 loss: 2.0433 2022/06/27 22:50:47 - mmengine - INFO - Epoch(train) [15][1000/3757] lr: 1.000e-02 eta: 23:37:18 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.6219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2274 loss: 2.2274 2022/06/27 22:50:52 - mmengine - INFO - Epoch(train) [15][1020/3757] lr: 1.000e-02 eta: 23:37:09 time: 0.189 data_time: 0.014 memory: 5150 grad_norm: 5.4193 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2354 loss: 2.2354 2022/06/27 22:50:57 - mmengine - INFO - Epoch(train) [15][1040/3757] lr: 1.000e-02 eta: 23:37:02 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.4712 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3456 loss: 2.3456 2022/06/27 22:51:02 - mmengine - INFO - Epoch(train) [15][1060/3757] lr: 1.000e-02 eta: 23:36:59 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.0807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0336 loss: 2.0336 2022/06/27 22:51:07 - mmengine - INFO - Epoch(train) [15][1080/3757] lr: 1.000e-02 eta: 23:36:52 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.3695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5055 loss: 2.5055 2022/06/27 22:51:13 - mmengine - INFO - Epoch(train) [15][1100/3757] lr: 1.000e-02 eta: 23:36:49 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 5.9532 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2548 loss: 2.2548 2022/06/27 22:51:18 - mmengine - INFO - Epoch(train) [15][1120/3757] lr: 1.000e-02 eta: 23:36:44 time: 0.198 data_time: 0.019 memory: 5150 grad_norm: 5.9846 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1629 loss: 2.1629 2022/06/27 22:51:24 - mmengine - INFO - Epoch(train) [15][1140/3757] lr: 1.000e-02 eta: 23:36:38 time: 0.372 data_time: 0.008 memory: 5150 grad_norm: 5.5914 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7352 loss: 1.7352 2022/06/27 22:51:29 - mmengine - INFO - Epoch(train) [15][1160/3757] lr: 1.000e-02 eta: 23:36:35 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.9450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3165 loss: 2.3165 2022/06/27 22:51:35 - mmengine - INFO - Epoch(train) [15][1180/3757] lr: 1.000e-02 eta: 23:36:33 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.2891 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.8162 loss: 2.8162 2022/06/27 22:51:40 - mmengine - INFO - Epoch(train) [15][1200/3757] lr: 1.000e-02 eta: 23:36:25 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6742 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3331 loss: 2.3331 2022/06/27 22:51:45 - mmengine - INFO - Epoch(train) [15][1220/3757] lr: 1.000e-02 eta: 23:36:21 time: 0.411 data_time: 0.006 memory: 5150 grad_norm: 5.5798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5374 loss: 2.5374 2022/06/27 22:51:51 - mmengine - INFO - Epoch(train) [15][1240/3757] lr: 1.000e-02 eta: 23:36:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.2803 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5259 loss: 2.5259 2022/06/27 22:51:56 - mmengine - INFO - Epoch(train) [15][1260/3757] lr: 1.000e-02 eta: 23:36:10 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.1954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4984 loss: 2.4984 2022/06/27 22:52:02 - mmengine - INFO - Epoch(train) [15][1280/3757] lr: 1.000e-02 eta: 23:36:09 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.0870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3328 loss: 2.3328 2022/06/27 22:52:07 - mmengine - INFO - Epoch(train) [15][1300/3757] lr: 1.000e-02 eta: 23:36:03 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8105 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3575 loss: 2.3575 2022/06/27 22:52:12 - mmengine - INFO - Epoch(train) [15][1320/3757] lr: 1.000e-02 eta: 23:35:52 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.5862 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.2594 loss: 2.2594 2022/06/27 22:52:17 - mmengine - INFO - Epoch(train) [15][1340/3757] lr: 1.000e-02 eta: 23:35:50 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 5.7484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9842 loss: 1.9842 2022/06/27 22:52:23 - mmengine - INFO - Epoch(train) [15][1360/3757] lr: 1.000e-02 eta: 23:35:47 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.7126 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1374 loss: 2.1374 2022/06/27 22:52:28 - mmengine - INFO - Epoch(train) [15][1380/3757] lr: 1.000e-02 eta: 23:35:41 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0256 loss: 2.0256 2022/06/27 22:52:34 - mmengine - INFO - Epoch(train) [15][1400/3757] lr: 1.000e-02 eta: 23:35:41 time: 0.217 data_time: 0.042 memory: 5150 grad_norm: 6.2035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7238 loss: 2.7238 2022/06/27 22:52:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:52:40 - mmengine - INFO - Epoch(train) [15][1420/3757] lr: 1.000e-02 eta: 23:35:36 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 5.6541 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3491 loss: 2.3491 2022/06/27 22:52:45 - mmengine - INFO - Epoch(train) [15][1440/3757] lr: 1.000e-02 eta: 23:35:31 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8707 loss: 1.8707 2022/06/27 22:52:50 - mmengine - INFO - Epoch(train) [15][1460/3757] lr: 1.000e-02 eta: 23:35:24 time: 0.214 data_time: 0.043 memory: 5150 grad_norm: 5.3936 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6351 loss: 2.6351 2022/06/27 22:52:55 - mmengine - INFO - Epoch(train) [15][1480/3757] lr: 1.000e-02 eta: 23:35:19 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 5.2676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5141 loss: 2.5141 2022/06/27 22:53:00 - mmengine - INFO - Epoch(train) [15][1500/3757] lr: 1.000e-02 eta: 23:35:10 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.6175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3406 loss: 2.3406 2022/06/27 22:53:06 - mmengine - INFO - Epoch(train) [15][1520/3757] lr: 1.000e-02 eta: 23:35:12 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.5647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3414 loss: 2.3414 2022/06/27 22:53:11 - mmengine - INFO - Epoch(train) [15][1540/3757] lr: 1.000e-02 eta: 23:35:03 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.4788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1469 loss: 2.1469 2022/06/27 22:53:16 - mmengine - INFO - Epoch(train) [15][1560/3757] lr: 1.000e-02 eta: 23:34:54 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3881 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9136 loss: 1.9136 2022/06/27 22:53:22 - mmengine - INFO - Epoch(train) [15][1580/3757] lr: 1.000e-02 eta: 23:34:55 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.3624 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3826 loss: 2.3826 2022/06/27 22:53:27 - mmengine - INFO - Epoch(train) [15][1600/3757] lr: 1.000e-02 eta: 23:34:48 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.4639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0551 loss: 2.0551 2022/06/27 22:53:32 - mmengine - INFO - Epoch(train) [15][1620/3757] lr: 1.000e-02 eta: 23:34:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9228 loss: 1.9228 2022/06/27 22:53:37 - mmengine - INFO - Epoch(train) [15][1640/3757] lr: 1.000e-02 eta: 23:34:35 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7810 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.7662 loss: 2.7662 2022/06/27 22:53:43 - mmengine - INFO - Epoch(train) [15][1660/3757] lr: 1.000e-02 eta: 23:34:31 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.5645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2669 loss: 2.2669 2022/06/27 22:53:48 - mmengine - INFO - Epoch(train) [15][1680/3757] lr: 1.000e-02 eta: 23:34:24 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.3662 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5392 loss: 2.5392 2022/06/27 22:53:53 - mmengine - INFO - Epoch(train) [15][1700/3757] lr: 1.000e-02 eta: 23:34:20 time: 0.219 data_time: 0.009 memory: 5150 grad_norm: 5.2598 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5364 loss: 2.5364 2022/06/27 22:53:59 - mmengine - INFO - Epoch(train) [15][1720/3757] lr: 1.000e-02 eta: 23:34:17 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.5626 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8999 loss: 1.8999 2022/06/27 22:54:03 - mmengine - INFO - Epoch(train) [15][1740/3757] lr: 1.000e-02 eta: 23:34:07 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.2780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3103 loss: 2.3103 2022/06/27 22:54:09 - mmengine - INFO - Epoch(train) [15][1760/3757] lr: 1.000e-02 eta: 23:34:03 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4521 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2613 loss: 2.2613 2022/06/27 22:54:14 - mmengine - INFO - Epoch(train) [15][1780/3757] lr: 1.000e-02 eta: 23:33:59 time: 0.359 data_time: 0.039 memory: 5150 grad_norm: 5.0667 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3672 loss: 2.3672 2022/06/27 22:54:20 - mmengine - INFO - Epoch(train) [15][1800/3757] lr: 1.000e-02 eta: 23:33:55 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 4.9365 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2074 loss: 2.2074 2022/06/27 22:54:25 - mmengine - INFO - Epoch(train) [15][1820/3757] lr: 1.000e-02 eta: 23:33:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7369 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9832 loss: 1.9832 2022/06/27 22:54:30 - mmengine - INFO - Epoch(train) [15][1840/3757] lr: 1.000e-02 eta: 23:33:44 time: 0.281 data_time: 0.014 memory: 5150 grad_norm: 5.5405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1903 loss: 2.1903 2022/06/27 22:54:36 - mmengine - INFO - Epoch(train) [15][1860/3757] lr: 1.000e-02 eta: 23:33:42 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.1026 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3097 loss: 2.3097 2022/06/27 22:54:41 - mmengine - INFO - Epoch(train) [15][1880/3757] lr: 1.000e-02 eta: 23:33:36 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9604 loss: 1.9604 2022/06/27 22:54:47 - mmengine - INFO - Epoch(train) [15][1900/3757] lr: 1.000e-02 eta: 23:33:30 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 5.1656 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3941 loss: 2.3941 2022/06/27 22:54:52 - mmengine - INFO - Epoch(train) [15][1920/3757] lr: 1.000e-02 eta: 23:33:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2430 loss: 2.2430 2022/06/27 22:54:57 - mmengine - INFO - Epoch(train) [15][1940/3757] lr: 1.000e-02 eta: 23:33:17 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.3137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8397 loss: 1.8397 2022/06/27 22:55:02 - mmengine - INFO - Epoch(train) [15][1960/3757] lr: 1.000e-02 eta: 23:33:11 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 6.4663 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0265 loss: 2.0265 2022/06/27 22:55:08 - mmengine - INFO - Epoch(train) [15][1980/3757] lr: 1.000e-02 eta: 23:33:10 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.2941 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4144 loss: 2.4144 2022/06/27 22:55:13 - mmengine - INFO - Epoch(train) [15][2000/3757] lr: 1.000e-02 eta: 23:33:03 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 5.7889 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5045 loss: 2.5045 2022/06/27 22:55:18 - mmengine - INFO - Epoch(train) [15][2020/3757] lr: 1.000e-02 eta: 23:32:58 time: 0.476 data_time: 0.305 memory: 5150 grad_norm: 5.6383 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2003 loss: 2.2003 2022/06/27 22:55:24 - mmengine - INFO - Epoch(train) [15][2040/3757] lr: 1.000e-02 eta: 23:32:53 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.0233 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5116 loss: 2.5116 2022/06/27 22:55:29 - mmengine - INFO - Epoch(train) [15][2060/3757] lr: 1.000e-02 eta: 23:32:46 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.2560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4811 loss: 2.4811 2022/06/27 22:55:34 - mmengine - INFO - Epoch(train) [15][2080/3757] lr: 1.000e-02 eta: 23:32:42 time: 0.293 data_time: 0.024 memory: 5150 grad_norm: 5.4173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0835 loss: 2.0835 2022/06/27 22:55:39 - mmengine - INFO - Epoch(train) [15][2100/3757] lr: 1.000e-02 eta: 23:32:37 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.4257 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2825 loss: 2.2825 2022/06/27 22:55:45 - mmengine - INFO - Epoch(train) [15][2120/3757] lr: 1.000e-02 eta: 23:32:31 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.7591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1394 loss: 2.1394 2022/06/27 22:55:50 - mmengine - INFO - Epoch(train) [15][2140/3757] lr: 1.000e-02 eta: 23:32:29 time: 0.430 data_time: 0.263 memory: 5150 grad_norm: 6.4400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1899 loss: 2.1899 2022/06/27 22:55:56 - mmengine - INFO - Epoch(train) [15][2160/3757] lr: 1.000e-02 eta: 23:32:25 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0476 loss: 2.0476 2022/06/27 22:56:01 - mmengine - INFO - Epoch(train) [15][2180/3757] lr: 1.000e-02 eta: 23:32:19 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.8463 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3680 loss: 2.3680 2022/06/27 22:56:06 - mmengine - INFO - Epoch(train) [15][2200/3757] lr: 1.000e-02 eta: 23:32:13 time: 0.209 data_time: 0.034 memory: 5150 grad_norm: 4.8315 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2258 loss: 2.2258 2022/06/27 22:56:12 - mmengine - INFO - Epoch(train) [15][2220/3757] lr: 1.000e-02 eta: 23:32:09 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1859 loss: 2.1859 2022/06/27 22:56:17 - mmengine - INFO - Epoch(train) [15][2240/3757] lr: 1.000e-02 eta: 23:32:03 time: 0.276 data_time: 0.007 memory: 5150 grad_norm: 5.0317 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1107 loss: 2.1107 2022/06/27 22:56:22 - mmengine - INFO - Epoch(train) [15][2260/3757] lr: 1.000e-02 eta: 23:31:58 time: 0.196 data_time: 0.027 memory: 5150 grad_norm: 5.5774 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5577 loss: 2.5577 2022/06/27 22:56:28 - mmengine - INFO - Epoch(train) [15][2280/3757] lr: 1.000e-02 eta: 23:31:54 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 4.7129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9440 loss: 1.9440 2022/06/27 22:56:33 - mmengine - INFO - Epoch(train) [15][2300/3757] lr: 1.000e-02 eta: 23:31:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0293 loss: 2.0293 2022/06/27 22:56:38 - mmengine - INFO - Epoch(train) [15][2320/3757] lr: 1.000e-02 eta: 23:31:44 time: 0.212 data_time: 0.045 memory: 5150 grad_norm: 5.2104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3492 loss: 2.3492 2022/06/27 22:56:44 - mmengine - INFO - Epoch(train) [15][2340/3757] lr: 1.000e-02 eta: 23:31:38 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3737 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9728 loss: 1.9728 2022/06/27 22:56:49 - mmengine - INFO - Epoch(train) [15][2360/3757] lr: 1.000e-02 eta: 23:31:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1784 loss: 2.1784 2022/06/27 22:56:55 - mmengine - INFO - Epoch(train) [15][2380/3757] lr: 1.000e-02 eta: 23:31:33 time: 1.192 data_time: 0.620 memory: 5150 grad_norm: 5.6663 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.4077 loss: 2.4077 2022/06/27 22:56:59 - mmengine - INFO - Epoch(train) [15][2400/3757] lr: 1.000e-02 eta: 23:31:22 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.8716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4397 loss: 2.4397 2022/06/27 22:57:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 22:57:05 - mmengine - INFO - Epoch(train) [15][2420/3757] lr: 1.000e-02 eta: 23:31:17 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.3500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2580 loss: 2.2580 2022/06/27 22:57:10 - mmengine - INFO - Epoch(train) [15][2440/3757] lr: 1.000e-02 eta: 23:31:12 time: 0.203 data_time: 0.039 memory: 5150 grad_norm: 5.9467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9112 loss: 1.9112 2022/06/27 22:57:16 - mmengine - INFO - Epoch(train) [15][2460/3757] lr: 1.000e-02 eta: 23:31:09 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7960 loss: 1.7960 2022/06/27 22:57:21 - mmengine - INFO - Epoch(train) [15][2480/3757] lr: 1.000e-02 eta: 23:31:04 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.5627 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1379 loss: 2.1379 2022/06/27 22:57:26 - mmengine - INFO - Epoch(train) [15][2500/3757] lr: 1.000e-02 eta: 23:30:56 time: 0.198 data_time: 0.029 memory: 5150 grad_norm: 5.5552 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5747 loss: 2.5747 2022/06/27 22:57:31 - mmengine - INFO - Epoch(train) [15][2520/3757] lr: 1.000e-02 eta: 23:30:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5895 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.4200 loss: 2.4200 2022/06/27 22:57:37 - mmengine - INFO - Epoch(train) [15][2540/3757] lr: 1.000e-02 eta: 23:30:48 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2254 loss: 2.2254 2022/06/27 22:57:42 - mmengine - INFO - Epoch(train) [15][2560/3757] lr: 1.000e-02 eta: 23:30:39 time: 0.207 data_time: 0.033 memory: 5150 grad_norm: 4.9139 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8266 loss: 1.8266 2022/06/27 22:57:47 - mmengine - INFO - Epoch(train) [15][2580/3757] lr: 1.000e-02 eta: 23:30:36 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 5.7767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2342 loss: 2.2342 2022/06/27 22:57:53 - mmengine - INFO - Epoch(train) [15][2600/3757] lr: 1.000e-02 eta: 23:30:31 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2840 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3308 loss: 2.3308 2022/06/27 22:57:57 - mmengine - INFO - Epoch(train) [15][2620/3757] lr: 1.000e-02 eta: 23:30:21 time: 0.207 data_time: 0.020 memory: 5150 grad_norm: 5.3510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2708 loss: 2.2708 2022/06/27 22:58:02 - mmengine - INFO - Epoch(train) [15][2640/3757] lr: 1.000e-02 eta: 23:30:15 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.2931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5824 loss: 2.5824 2022/06/27 22:58:08 - mmengine - INFO - Epoch(train) [15][2660/3757] lr: 1.000e-02 eta: 23:30:12 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.0739 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8504 loss: 1.8504 2022/06/27 22:58:13 - mmengine - INFO - Epoch(train) [15][2680/3757] lr: 1.000e-02 eta: 23:30:04 time: 0.207 data_time: 0.026 memory: 5150 grad_norm: 5.4353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2224 loss: 2.2224 2022/06/27 22:58:18 - mmengine - INFO - Epoch(train) [15][2700/3757] lr: 1.000e-02 eta: 23:29:59 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.3022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8766 loss: 1.8766 2022/06/27 22:58:23 - mmengine - INFO - Epoch(train) [15][2720/3757] lr: 1.000e-02 eta: 23:29:53 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9774 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1503 loss: 2.1503 2022/06/27 22:58:28 - mmengine - INFO - Epoch(train) [15][2740/3757] lr: 1.000e-02 eta: 23:29:47 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 5.2735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4551 loss: 2.4551 2022/06/27 22:58:34 - mmengine - INFO - Epoch(train) [15][2760/3757] lr: 1.000e-02 eta: 23:29:46 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 5.7525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1043 loss: 2.1043 2022/06/27 22:58:39 - mmengine - INFO - Epoch(train) [15][2780/3757] lr: 1.000e-02 eta: 23:29:38 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 5.2732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1384 loss: 2.1384 2022/06/27 22:58:44 - mmengine - INFO - Epoch(train) [15][2800/3757] lr: 1.000e-02 eta: 23:29:32 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2344 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4015 loss: 2.4015 2022/06/27 22:58:50 - mmengine - INFO - Epoch(train) [15][2820/3757] lr: 1.000e-02 eta: 23:29:26 time: 0.464 data_time: 0.007 memory: 5150 grad_norm: 5.5210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4842 loss: 2.4842 2022/06/27 22:58:55 - mmengine - INFO - Epoch(train) [15][2840/3757] lr: 1.000e-02 eta: 23:29:23 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.6482 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1907 loss: 2.1907 2022/06/27 22:59:00 - mmengine - INFO - Epoch(train) [15][2860/3757] lr: 1.000e-02 eta: 23:29:17 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8317 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0363 loss: 2.0363 2022/06/27 22:59:06 - mmengine - INFO - Epoch(train) [15][2880/3757] lr: 1.000e-02 eta: 23:29:11 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.1941 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5714 loss: 2.5714 2022/06/27 22:59:11 - mmengine - INFO - Epoch(train) [15][2900/3757] lr: 1.000e-02 eta: 23:29:08 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.2249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5627 loss: 2.5627 2022/06/27 22:59:16 - mmengine - INFO - Epoch(train) [15][2920/3757] lr: 1.000e-02 eta: 23:29:01 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 4.7889 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.4931 loss: 2.4931 2022/06/27 22:59:21 - mmengine - INFO - Epoch(train) [15][2940/3757] lr: 1.000e-02 eta: 23:28:55 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.2046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0697 loss: 2.0697 2022/06/27 22:59:27 - mmengine - INFO - Epoch(train) [15][2960/3757] lr: 1.000e-02 eta: 23:28:51 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 5.5418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3279 loss: 2.3279 2022/06/27 22:59:32 - mmengine - INFO - Epoch(train) [15][2980/3757] lr: 1.000e-02 eta: 23:28:45 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4977 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5210 loss: 2.5210 2022/06/27 22:59:38 - mmengine - INFO - Epoch(train) [15][3000/3757] lr: 1.000e-02 eta: 23:28:42 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.3131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0680 loss: 2.0680 2022/06/27 22:59:43 - mmengine - INFO - Epoch(train) [15][3020/3757] lr: 1.000e-02 eta: 23:28:36 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.5562 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1743 loss: 2.1743 2022/06/27 22:59:48 - mmengine - INFO - Epoch(train) [15][3040/3757] lr: 1.000e-02 eta: 23:28:29 time: 0.196 data_time: 0.019 memory: 5150 grad_norm: 5.1213 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1521 loss: 2.1521 2022/06/27 22:59:53 - mmengine - INFO - Epoch(train) [15][3060/3757] lr: 1.000e-02 eta: 23:28:23 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 4.8038 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9777 loss: 1.9777 2022/06/27 22:59:58 - mmengine - INFO - Epoch(train) [15][3080/3757] lr: 1.000e-02 eta: 23:28:19 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.5461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6321 loss: 2.6321 2022/06/27 23:00:04 - mmengine - INFO - Epoch(train) [15][3100/3757] lr: 1.000e-02 eta: 23:28:15 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.5791 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9703 loss: 1.9703 2022/06/27 23:00:10 - mmengine - INFO - Epoch(train) [15][3120/3757] lr: 1.000e-02 eta: 23:28:11 time: 0.329 data_time: 0.007 memory: 5150 grad_norm: 5.2642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1194 loss: 2.1194 2022/06/27 23:00:14 - mmengine - INFO - Epoch(train) [15][3140/3757] lr: 1.000e-02 eta: 23:28:03 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1728 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4073 loss: 2.4073 2022/06/27 23:00:20 - mmengine - INFO - Epoch(train) [15][3160/3757] lr: 1.000e-02 eta: 23:28:01 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 4.7468 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1782 loss: 2.1782 2022/06/27 23:00:26 - mmengine - INFO - Epoch(train) [15][3180/3757] lr: 1.000e-02 eta: 23:27:58 time: 0.223 data_time: 0.006 memory: 5150 grad_norm: 5.2452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3350 loss: 2.3350 2022/06/27 23:00:31 - mmengine - INFO - Epoch(train) [15][3200/3757] lr: 1.000e-02 eta: 23:27:50 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.7692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8930 loss: 1.8930 2022/06/27 23:00:37 - mmengine - INFO - Epoch(train) [15][3220/3757] lr: 1.000e-02 eta: 23:27:48 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 5.9371 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8505 loss: 2.8505 2022/06/27 23:00:42 - mmengine - INFO - Epoch(train) [15][3240/3757] lr: 1.000e-02 eta: 23:27:42 time: 0.594 data_time: 0.007 memory: 5150 grad_norm: 5.8182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2203 loss: 2.2203 2022/06/27 23:00:47 - mmengine - INFO - Epoch(train) [15][3260/3757] lr: 1.000e-02 eta: 23:27:36 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1120 loss: 2.1120 2022/06/27 23:00:52 - mmengine - INFO - Epoch(train) [15][3280/3757] lr: 1.000e-02 eta: 23:27:31 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.4394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2227 loss: 2.2227 2022/06/27 23:00:57 - mmengine - INFO - Epoch(train) [15][3300/3757] lr: 1.000e-02 eta: 23:27:25 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.0662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1502 loss: 2.1502 2022/06/27 23:01:03 - mmengine - INFO - Epoch(train) [15][3320/3757] lr: 1.000e-02 eta: 23:27:21 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.4138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1217 loss: 2.1217 2022/06/27 23:01:08 - mmengine - INFO - Epoch(train) [15][3340/3757] lr: 1.000e-02 eta: 23:27:13 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.9797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7049 loss: 1.7049 2022/06/27 23:01:14 - mmengine - INFO - Epoch(train) [15][3360/3757] lr: 1.000e-02 eta: 23:27:11 time: 0.825 data_time: 0.007 memory: 5150 grad_norm: 4.8617 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4233 loss: 2.4233 2022/06/27 23:01:18 - mmengine - INFO - Epoch(train) [15][3380/3757] lr: 1.000e-02 eta: 23:27:01 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7130 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.5416 loss: 2.5416 2022/06/27 23:01:24 - mmengine - INFO - Epoch(train) [15][3400/3757] lr: 1.000e-02 eta: 23:26:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9744 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1449 loss: 2.1449 2022/06/27 23:01:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:01:29 - mmengine - INFO - Epoch(train) [15][3420/3757] lr: 1.000e-02 eta: 23:26:53 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.7118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3924 loss: 2.3924 2022/06/27 23:01:34 - mmengine - INFO - Epoch(train) [15][3440/3757] lr: 1.000e-02 eta: 23:26:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6921 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.5174 loss: 2.5174 2022/06/27 23:01:40 - mmengine - INFO - Epoch(train) [15][3460/3757] lr: 1.000e-02 eta: 23:26:45 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 4.8196 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2750 loss: 2.2750 2022/06/27 23:01:45 - mmengine - INFO - Epoch(train) [15][3480/3757] lr: 1.000e-02 eta: 23:26:40 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4108 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1940 loss: 2.1940 2022/06/27 23:01:50 - mmengine - INFO - Epoch(train) [15][3500/3757] lr: 1.000e-02 eta: 23:26:33 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.4406 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6722 loss: 2.6722 2022/06/27 23:01:56 - mmengine - INFO - Epoch(train) [15][3520/3757] lr: 1.000e-02 eta: 23:26:30 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1156 loss: 2.1156 2022/06/27 23:02:02 - mmengine - INFO - Epoch(train) [15][3540/3757] lr: 1.000e-02 eta: 23:26:29 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 5.3111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1392 loss: 2.1392 2022/06/27 23:02:06 - mmengine - INFO - Epoch(train) [15][3560/3757] lr: 1.000e-02 eta: 23:26:19 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.9344 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2996 loss: 2.2996 2022/06/27 23:02:12 - mmengine - INFO - Epoch(train) [15][3580/3757] lr: 1.000e-02 eta: 23:26:13 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3010 loss: 2.3010 2022/06/27 23:02:17 - mmengine - INFO - Epoch(train) [15][3600/3757] lr: 1.000e-02 eta: 23:26:09 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.7749 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8777 loss: 1.8777 2022/06/27 23:02:22 - mmengine - INFO - Epoch(train) [15][3620/3757] lr: 1.000e-02 eta: 23:26:02 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5987 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4950 loss: 2.4950 2022/06/27 23:02:28 - mmengine - INFO - Epoch(train) [15][3640/3757] lr: 1.000e-02 eta: 23:25:59 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2132 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5408 loss: 2.5408 2022/06/27 23:02:33 - mmengine - INFO - Epoch(train) [15][3660/3757] lr: 1.000e-02 eta: 23:25:55 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.8202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4173 loss: 2.4173 2022/06/27 23:02:38 - mmengine - INFO - Epoch(train) [15][3680/3757] lr: 1.000e-02 eta: 23:25:47 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3718 loss: 2.3718 2022/06/27 23:02:44 - mmengine - INFO - Epoch(train) [15][3700/3757] lr: 1.000e-02 eta: 23:25:46 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 5.3245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4283 loss: 2.4283 2022/06/27 23:02:50 - mmengine - INFO - Epoch(train) [15][3720/3757] lr: 1.000e-02 eta: 23:25:41 time: 0.921 data_time: 0.012 memory: 5150 grad_norm: 5.7450 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4272 loss: 2.4272 2022/06/27 23:02:54 - mmengine - INFO - Epoch(train) [15][3740/3757] lr: 1.000e-02 eta: 23:25:33 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6924 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2535 loss: 2.2535 2022/06/27 23:02:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:02:58 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/06/27 23:03:33 - mmengine - INFO - Epoch(val) [15][20/310] eta: 0:05:33 time: 1.003 data_time: 0.355 memory: 9746 2022/06/27 23:03:55 - mmengine - INFO - Epoch(val) [15][40/310] eta: 0:05:04 time: 1.077 data_time: 0.437 memory: 9746 2022/06/27 23:04:20 - mmengine - INFO - Epoch(val) [15][60/310] eta: 0:04:25 time: 1.108 data_time: 0.470 memory: 9746 2022/06/27 23:04:42 - mmengine - INFO - Epoch(val) [15][80/310] eta: 0:04:16 time: 1.101 data_time: 0.443 memory: 9746 2022/06/27 23:05:05 - mmengine - INFO - Epoch(val) [15][100/310] eta: 0:04:05 time: 2.142 data_time: 1.508 memory: 9746 2022/06/27 23:05:26 - mmengine - INFO - Epoch(val) [15][120/310] eta: 0:03:18 time: 1.038 data_time: 0.373 memory: 9746 2022/06/27 23:05:51 - mmengine - INFO - Epoch(val) [15][140/310] eta: 0:03:23 time: 1.155 data_time: 0.517 memory: 9746 2022/06/27 23:06:15 - mmengine - INFO - Epoch(val) [15][160/310] eta: 0:03:10 time: 3.188 data_time: 2.512 memory: 9746 2022/06/27 23:06:39 - mmengine - INFO - Epoch(val) [15][180/310] eta: 0:02:51 time: 1.017 data_time: 0.371 memory: 9746 2022/06/27 23:07:01 - mmengine - INFO - Epoch(val) [15][200/310] eta: 0:02:13 time: 1.093 data_time: 0.451 memory: 9746 2022/06/27 23:07:23 - mmengine - INFO - Epoch(val) [15][220/310] eta: 0:01:38 time: 1.196 data_time: 0.535 memory: 9746 2022/06/27 23:07:44 - mmengine - INFO - Epoch(val) [15][240/310] eta: 0:01:14 time: 1.105 data_time: 0.459 memory: 9746 2022/06/27 23:08:08 - mmengine - INFO - Epoch(val) [15][260/310] eta: 0:01:01 time: 1.087 data_time: 0.457 memory: 9746 2022/06/27 23:08:30 - mmengine - INFO - Epoch(val) [15][280/310] eta: 0:00:33 time: 1.252 data_time: 0.586 memory: 9746 2022/06/27 23:08:49 - mmengine - INFO - Epoch(val) [15][300/310] eta: 0:00:08 time: 0.643 data_time: 0.069 memory: 9746 2022/06/27 23:09:00 - mmengine - INFO - Epoch(val) [15][310/310] acc/top1: 0.5755 acc/top5: 0.8189 acc/mean1: 0.5753 2022/06/27 23:09:09 - mmengine - INFO - Epoch(train) [16][20/3757] lr: 1.000e-02 eta: 23:25:28 time: 0.191 data_time: 0.007 memory: 9746 grad_norm: 5.5641 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5505 loss: 2.5505 2022/06/27 23:09:14 - mmengine - INFO - Epoch(train) [16][40/3757] lr: 1.000e-02 eta: 23:25:26 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3938 loss: 2.3938 2022/06/27 23:09:19 - mmengine - INFO - Epoch(train) [16][60/3757] lr: 1.000e-02 eta: 23:25:19 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.6565 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1313 loss: 2.1313 2022/06/27 23:09:25 - mmengine - INFO - Epoch(train) [16][80/3757] lr: 1.000e-02 eta: 23:25:16 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.2268 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9628 loss: 1.9628 2022/06/27 23:09:30 - mmengine - INFO - Epoch(train) [16][100/3757] lr: 1.000e-02 eta: 23:25:11 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.0442 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9786 loss: 1.9786 2022/06/27 23:09:35 - mmengine - INFO - Epoch(train) [16][120/3757] lr: 1.000e-02 eta: 23:25:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.0895 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2753 loss: 2.2753 2022/06/27 23:09:41 - mmengine - INFO - Epoch(train) [16][140/3757] lr: 1.000e-02 eta: 23:24:59 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.3924 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2631 loss: 2.2631 2022/06/27 23:09:46 - mmengine - INFO - Epoch(train) [16][160/3757] lr: 1.000e-02 eta: 23:24:56 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 6.2526 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4530 loss: 2.4530 2022/06/27 23:09:51 - mmengine - INFO - Epoch(train) [16][180/3757] lr: 1.000e-02 eta: 23:24:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.8217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9138 loss: 1.9138 2022/06/27 23:09:57 - mmengine - INFO - Epoch(train) [16][200/3757] lr: 1.000e-02 eta: 23:24:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7508 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1696 loss: 2.1696 2022/06/27 23:10:02 - mmengine - INFO - Epoch(train) [16][220/3757] lr: 1.000e-02 eta: 23:24:41 time: 0.194 data_time: 0.024 memory: 5150 grad_norm: 4.8607 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1737 loss: 2.1737 2022/06/27 23:10:08 - mmengine - INFO - Epoch(train) [16][240/3757] lr: 1.000e-02 eta: 23:24:40 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7268 loss: 1.7268 2022/06/27 23:10:13 - mmengine - INFO - Epoch(train) [16][260/3757] lr: 1.000e-02 eta: 23:24:28 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 4.8651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/06/27 23:10:17 - mmengine - INFO - Epoch(train) [16][280/3757] lr: 1.000e-02 eta: 23:24:21 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.8890 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3848 loss: 2.3848 2022/06/27 23:10:22 - mmengine - INFO - Epoch(train) [16][300/3757] lr: 1.000e-02 eta: 23:24:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.5266 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1421 loss: 2.1421 2022/06/27 23:10:28 - mmengine - INFO - Epoch(train) [16][320/3757] lr: 1.000e-02 eta: 23:24:10 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8502 loss: 1.8502 2022/06/27 23:10:34 - mmengine - INFO - Epoch(train) [16][340/3757] lr: 1.000e-02 eta: 23:24:09 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7918 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2773 loss: 2.2773 2022/06/27 23:10:39 - mmengine - INFO - Epoch(train) [16][360/3757] lr: 1.000e-02 eta: 23:24:00 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6077 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2996 loss: 2.2996 2022/06/27 23:10:44 - mmengine - INFO - Epoch(train) [16][380/3757] lr: 1.000e-02 eta: 23:23:57 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5035 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3582 loss: 2.3582 2022/06/27 23:10:50 - mmengine - INFO - Epoch(train) [16][400/3757] lr: 1.000e-02 eta: 23:23:54 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 5.2566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7886 loss: 1.7886 2022/06/27 23:10:55 - mmengine - INFO - Epoch(train) [16][420/3757] lr: 1.000e-02 eta: 23:23:46 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3204 loss: 2.3204 2022/06/27 23:11:00 - mmengine - INFO - Epoch(train) [16][440/3757] lr: 1.000e-02 eta: 23:23:40 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.2712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1419 loss: 2.1419 2022/06/27 23:11:05 - mmengine - INFO - Epoch(train) [16][460/3757] lr: 1.000e-02 eta: 23:23:35 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.6124 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2354 loss: 2.2354 2022/06/27 23:11:11 - mmengine - INFO - Epoch(train) [16][480/3757] lr: 1.000e-02 eta: 23:23:30 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.2860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0391 loss: 2.0391 2022/06/27 23:11:16 - mmengine - INFO - Epoch(train) [16][500/3757] lr: 1.000e-02 eta: 23:23:27 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.8793 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0843 loss: 2.0843 2022/06/27 23:11:22 - mmengine - INFO - Epoch(train) [16][520/3757] lr: 1.000e-02 eta: 23:23:24 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 6.7241 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0310 loss: 2.0310 2022/06/27 23:11:27 - mmengine - INFO - Epoch(train) [16][540/3757] lr: 1.000e-02 eta: 23:23:17 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.0166 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1888 loss: 2.1888 2022/06/27 23:11:32 - mmengine - INFO - Epoch(train) [16][560/3757] lr: 1.000e-02 eta: 23:23:09 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.2251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9698 loss: 1.9698 2022/06/27 23:11:38 - mmengine - INFO - Epoch(train) [16][580/3757] lr: 1.000e-02 eta: 23:23:06 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6761 loss: 2.6761 2022/06/27 23:11:42 - mmengine - INFO - Epoch(train) [16][600/3757] lr: 1.000e-02 eta: 23:22:58 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.4748 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9577 loss: 1.9577 2022/06/27 23:11:48 - mmengine - INFO - Epoch(train) [16][620/3757] lr: 1.000e-02 eta: 23:22:56 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0273 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6580 loss: 2.6580 2022/06/27 23:11:54 - mmengine - INFO - Epoch(train) [16][640/3757] lr: 1.000e-02 eta: 23:22:54 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.8272 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5546 loss: 2.5546 2022/06/27 23:11:55 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:11:59 - mmengine - INFO - Epoch(train) [16][660/3757] lr: 1.000e-02 eta: 23:22:44 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.1572 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4557 loss: 2.4557 2022/06/27 23:12:04 - mmengine - INFO - Epoch(train) [16][680/3757] lr: 1.000e-02 eta: 23:22:39 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.4734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3227 loss: 2.3227 2022/06/27 23:12:09 - mmengine - INFO - Epoch(train) [16][700/3757] lr: 1.000e-02 eta: 23:22:34 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.2326 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9864 loss: 1.9864 2022/06/27 23:12:14 - mmengine - INFO - Epoch(train) [16][720/3757] lr: 1.000e-02 eta: 23:22:27 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 5.4742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3604 loss: 2.3604 2022/06/27 23:12:20 - mmengine - INFO - Epoch(train) [16][740/3757] lr: 1.000e-02 eta: 23:22:23 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 4.7541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0645 loss: 2.0645 2022/06/27 23:12:25 - mmengine - INFO - Epoch(train) [16][760/3757] lr: 1.000e-02 eta: 23:22:19 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.7342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3513 loss: 2.3513 2022/06/27 23:12:31 - mmengine - INFO - Epoch(train) [16][780/3757] lr: 1.000e-02 eta: 23:22:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.9462 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3666 loss: 2.3666 2022/06/27 23:12:35 - mmengine - INFO - Epoch(train) [16][800/3757] lr: 1.000e-02 eta: 23:22:06 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 5.0767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7281 loss: 2.7281 2022/06/27 23:12:41 - mmengine - INFO - Epoch(train) [16][820/3757] lr: 1.000e-02 eta: 23:22:01 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5825 loss: 2.5825 2022/06/27 23:12:47 - mmengine - INFO - Epoch(train) [16][840/3757] lr: 1.000e-02 eta: 23:21:59 time: 0.719 data_time: 0.007 memory: 5150 grad_norm: 5.0380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1377 loss: 2.1377 2022/06/27 23:12:51 - mmengine - INFO - Epoch(train) [16][860/3757] lr: 1.000e-02 eta: 23:21:51 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2235 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1253 loss: 2.1253 2022/06/27 23:12:57 - mmengine - INFO - Epoch(train) [16][880/3757] lr: 1.000e-02 eta: 23:21:47 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.3273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0974 loss: 2.0974 2022/06/27 23:13:03 - mmengine - INFO - Epoch(train) [16][900/3757] lr: 1.000e-02 eta: 23:21:44 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.0769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8437 loss: 1.8437 2022/06/27 23:13:08 - mmengine - INFO - Epoch(train) [16][920/3757] lr: 1.000e-02 eta: 23:21:38 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0206 loss: 2.0206 2022/06/27 23:13:13 - mmengine - INFO - Epoch(train) [16][940/3757] lr: 1.000e-02 eta: 23:21:30 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.5327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7102 loss: 2.7102 2022/06/27 23:13:18 - mmengine - INFO - Epoch(train) [16][960/3757] lr: 1.000e-02 eta: 23:21:26 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.9275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2980 loss: 2.2980 2022/06/27 23:13:23 - mmengine - INFO - Epoch(train) [16][980/3757] lr: 1.000e-02 eta: 23:21:21 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1147 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2123 loss: 2.2123 2022/06/27 23:13:30 - mmengine - INFO - Epoch(train) [16][1000/3757] lr: 1.000e-02 eta: 23:21:20 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.1274 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2737 loss: 2.2737 2022/06/27 23:13:34 - mmengine - INFO - Epoch(train) [16][1020/3757] lr: 1.000e-02 eta: 23:21:08 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 5.0475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3830 loss: 2.3830 2022/06/27 23:13:38 - mmengine - INFO - Epoch(train) [16][1040/3757] lr: 1.000e-02 eta: 23:20:56 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.7867 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1471 loss: 2.1471 2022/06/27 23:13:42 - mmengine - INFO - Epoch(train) [16][1060/3757] lr: 1.000e-02 eta: 23:20:48 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.5849 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1134 loss: 2.1134 2022/06/27 23:13:48 - mmengine - INFO - Epoch(train) [16][1080/3757] lr: 1.000e-02 eta: 23:20:44 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.3555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0253 loss: 2.0253 2022/06/27 23:13:53 - mmengine - INFO - Epoch(train) [16][1100/3757] lr: 1.000e-02 eta: 23:20:39 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2920 loss: 2.2920 2022/06/27 23:13:59 - mmengine - INFO - Epoch(train) [16][1120/3757] lr: 1.000e-02 eta: 23:20:34 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.7344 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5844 loss: 2.5844 2022/06/27 23:14:04 - mmengine - INFO - Epoch(train) [16][1140/3757] lr: 1.000e-02 eta: 23:20:32 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.8128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1949 loss: 2.1949 2022/06/27 23:14:10 - mmengine - INFO - Epoch(train) [16][1160/3757] lr: 1.000e-02 eta: 23:20:30 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 5.1702 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3418 loss: 2.3418 2022/06/27 23:14:15 - mmengine - INFO - Epoch(train) [16][1180/3757] lr: 1.000e-02 eta: 23:20:20 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.2335 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/06/27 23:14:20 - mmengine - INFO - Epoch(train) [16][1200/3757] lr: 1.000e-02 eta: 23:20:15 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.4894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4130 loss: 2.4130 2022/06/27 23:14:26 - mmengine - INFO - Epoch(train) [16][1220/3757] lr: 1.000e-02 eta: 23:20:12 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.2812 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1532 loss: 2.1532 2022/06/27 23:14:31 - mmengine - INFO - Epoch(train) [16][1240/3757] lr: 1.000e-02 eta: 23:20:06 time: 0.215 data_time: 0.016 memory: 5150 grad_norm: 4.8145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/06/27 23:14:36 - mmengine - INFO - Epoch(train) [16][1260/3757] lr: 1.000e-02 eta: 23:20:01 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.5841 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2402 loss: 2.2402 2022/06/27 23:14:42 - mmengine - INFO - Epoch(train) [16][1280/3757] lr: 1.000e-02 eta: 23:19:56 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.3485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3660 loss: 2.3660 2022/06/27 23:14:47 - mmengine - INFO - Epoch(train) [16][1300/3757] lr: 1.000e-02 eta: 23:19:50 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 5.6256 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1853 loss: 2.1853 2022/06/27 23:14:52 - mmengine - INFO - Epoch(train) [16][1320/3757] lr: 1.000e-02 eta: 23:19:45 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.2455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3418 loss: 2.3418 2022/06/27 23:14:57 - mmengine - INFO - Epoch(train) [16][1340/3757] lr: 1.000e-02 eta: 23:19:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4399 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3565 loss: 2.3565 2022/06/27 23:15:03 - mmengine - INFO - Epoch(train) [16][1360/3757] lr: 1.000e-02 eta: 23:19:35 time: 0.264 data_time: 0.014 memory: 5150 grad_norm: 5.7336 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3313 loss: 2.3313 2022/06/27 23:15:08 - mmengine - INFO - Epoch(train) [16][1380/3757] lr: 1.000e-02 eta: 23:19:30 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.8328 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5094 loss: 2.5094 2022/06/27 23:15:14 - mmengine - INFO - Epoch(train) [16][1400/3757] lr: 1.000e-02 eta: 23:19:27 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3699 loss: 2.3699 2022/06/27 23:15:19 - mmengine - INFO - Epoch(train) [16][1420/3757] lr: 1.000e-02 eta: 23:19:22 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.2622 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2157 loss: 2.2157 2022/06/27 23:15:25 - mmengine - INFO - Epoch(train) [16][1440/3757] lr: 1.000e-02 eta: 23:19:18 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.5860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5188 loss: 2.5188 2022/06/27 23:15:30 - mmengine - INFO - Epoch(train) [16][1460/3757] lr: 1.000e-02 eta: 23:19:10 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.0036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4981 loss: 2.4981 2022/06/27 23:15:34 - mmengine - INFO - Epoch(train) [16][1480/3757] lr: 1.000e-02 eta: 23:19:02 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.8575 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3969 loss: 2.3969 2022/06/27 23:15:40 - mmengine - INFO - Epoch(train) [16][1500/3757] lr: 1.000e-02 eta: 23:18:58 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.2339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0802 loss: 2.0802 2022/06/27 23:15:46 - mmengine - INFO - Epoch(train) [16][1520/3757] lr: 1.000e-02 eta: 23:18:55 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.8673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8755 loss: 1.8755 2022/06/27 23:15:50 - mmengine - INFO - Epoch(train) [16][1540/3757] lr: 1.000e-02 eta: 23:18:47 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.8696 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3920 loss: 2.3920 2022/06/27 23:15:56 - mmengine - INFO - Epoch(train) [16][1560/3757] lr: 1.000e-02 eta: 23:18:43 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.9193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1639 loss: 2.1639 2022/06/27 23:16:01 - mmengine - INFO - Epoch(train) [16][1580/3757] lr: 1.000e-02 eta: 23:18:37 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 4.4355 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2043 loss: 2.2043 2022/06/27 23:16:06 - mmengine - INFO - Epoch(train) [16][1600/3757] lr: 1.000e-02 eta: 23:18:28 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0555 loss: 2.0555 2022/06/27 23:16:12 - mmengine - INFO - Epoch(train) [16][1620/3757] lr: 1.000e-02 eta: 23:18:27 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0718 loss: 2.0718 2022/06/27 23:16:17 - mmengine - INFO - Epoch(train) [16][1640/3757] lr: 1.000e-02 eta: 23:18:20 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.0671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1750 loss: 2.1750 2022/06/27 23:16:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:16:21 - mmengine - INFO - Epoch(train) [16][1660/3757] lr: 1.000e-02 eta: 23:18:12 time: 0.286 data_time: 0.006 memory: 5150 grad_norm: 5.7501 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4139 loss: 2.4139 2022/06/27 23:16:27 - mmengine - INFO - Epoch(train) [16][1680/3757] lr: 1.000e-02 eta: 23:18:09 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.2315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4828 loss: 2.4828 2022/06/27 23:16:32 - mmengine - INFO - Epoch(train) [16][1700/3757] lr: 1.000e-02 eta: 23:18:01 time: 0.200 data_time: 0.025 memory: 5150 grad_norm: 5.5671 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3577 loss: 2.3577 2022/06/27 23:16:38 - mmengine - INFO - Epoch(train) [16][1720/3757] lr: 1.000e-02 eta: 23:17:58 time: 0.646 data_time: 0.007 memory: 5150 grad_norm: 5.3496 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8390 loss: 1.8390 2022/06/27 23:16:43 - mmengine - INFO - Epoch(train) [16][1740/3757] lr: 1.000e-02 eta: 23:17:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0975 loss: 2.0975 2022/06/27 23:16:49 - mmengine - INFO - Epoch(train) [16][1760/3757] lr: 1.000e-02 eta: 23:17:49 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 5.9111 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9939 loss: 1.9939 2022/06/27 23:16:53 - mmengine - INFO - Epoch(train) [16][1780/3757] lr: 1.000e-02 eta: 23:17:42 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 5.1960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5095 loss: 2.5095 2022/06/27 23:16:59 - mmengine - INFO - Epoch(train) [16][1800/3757] lr: 1.000e-02 eta: 23:17:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7237 loss: 1.7237 2022/06/27 23:17:04 - mmengine - INFO - Epoch(train) [16][1820/3757] lr: 1.000e-02 eta: 23:17:32 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.5300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7689 loss: 1.7689 2022/06/27 23:17:10 - mmengine - INFO - Epoch(train) [16][1840/3757] lr: 1.000e-02 eta: 23:17:28 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.6412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7976 loss: 1.7976 2022/06/27 23:17:15 - mmengine - INFO - Epoch(train) [16][1860/3757] lr: 1.000e-02 eta: 23:17:21 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5260 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8351 loss: 1.8351 2022/06/27 23:17:21 - mmengine - INFO - Epoch(train) [16][1880/3757] lr: 1.000e-02 eta: 23:17:19 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.3363 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3044 loss: 2.3044 2022/06/27 23:17:25 - mmengine - INFO - Epoch(train) [16][1900/3757] lr: 1.000e-02 eta: 23:17:11 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 5.9441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4420 loss: 2.4420 2022/06/27 23:17:32 - mmengine - INFO - Epoch(train) [16][1920/3757] lr: 1.000e-02 eta: 23:17:11 time: 0.246 data_time: 0.007 memory: 5150 grad_norm: 4.9782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0377 loss: 2.0377 2022/06/27 23:17:36 - mmengine - INFO - Epoch(train) [16][1940/3757] lr: 1.000e-02 eta: 23:16:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2855 loss: 2.2855 2022/06/27 23:17:40 - mmengine - INFO - Epoch(train) [16][1960/3757] lr: 1.000e-02 eta: 23:16:48 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.2614 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2330 loss: 2.2330 2022/06/27 23:17:45 - mmengine - INFO - Epoch(train) [16][1980/3757] lr: 1.000e-02 eta: 23:16:43 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.9813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1871 loss: 2.1871 2022/06/27 23:17:50 - mmengine - INFO - Epoch(train) [16][2000/3757] lr: 1.000e-02 eta: 23:16:36 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6102 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6965 loss: 2.6965 2022/06/27 23:17:56 - mmengine - INFO - Epoch(train) [16][2020/3757] lr: 1.000e-02 eta: 23:16:32 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 4.9305 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9180 loss: 1.9180 2022/06/27 23:18:02 - mmengine - INFO - Epoch(train) [16][2040/3757] lr: 1.000e-02 eta: 23:16:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.9460 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2975 loss: 2.2975 2022/06/27 23:18:06 - mmengine - INFO - Epoch(train) [16][2060/3757] lr: 1.000e-02 eta: 23:16:21 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5002 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9504 loss: 1.9504 2022/06/27 23:18:12 - mmengine - INFO - Epoch(train) [16][2080/3757] lr: 1.000e-02 eta: 23:16:20 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6211 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8971 loss: 1.8971 2022/06/27 23:18:18 - mmengine - INFO - Epoch(train) [16][2100/3757] lr: 1.000e-02 eta: 23:16:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7973 loss: 1.7973 2022/06/27 23:18:23 - mmengine - INFO - Epoch(train) [16][2120/3757] lr: 1.000e-02 eta: 23:16:08 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3561 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9138 loss: 1.9138 2022/06/27 23:18:30 - mmengine - INFO - Epoch(train) [16][2140/3757] lr: 1.000e-02 eta: 23:16:13 time: 0.240 data_time: 0.007 memory: 5150 grad_norm: 4.9813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1264 loss: 2.1264 2022/06/27 23:18:34 - mmengine - INFO - Epoch(train) [16][2160/3757] lr: 1.000e-02 eta: 23:16:01 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9426 loss: 1.9426 2022/06/27 23:18:38 - mmengine - INFO - Epoch(train) [16][2180/3757] lr: 1.000e-02 eta: 23:15:50 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.0305 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9985 loss: 1.9985 2022/06/27 23:18:43 - mmengine - INFO - Epoch(train) [16][2200/3757] lr: 1.000e-02 eta: 23:15:43 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1161 loss: 2.1161 2022/06/27 23:18:48 - mmengine - INFO - Epoch(train) [16][2220/3757] lr: 1.000e-02 eta: 23:15:39 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 4.4663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6511 loss: 1.6511 2022/06/27 23:18:54 - mmengine - INFO - Epoch(train) [16][2240/3757] lr: 1.000e-02 eta: 23:15:32 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.6032 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1785 loss: 2.1785 2022/06/27 23:18:59 - mmengine - INFO - Epoch(train) [16][2260/3757] lr: 1.000e-02 eta: 23:15:30 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 4.9410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3108 loss: 2.3108 2022/06/27 23:19:04 - mmengine - INFO - Epoch(train) [16][2280/3757] lr: 1.000e-02 eta: 23:15:23 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.9142 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4780 loss: 2.4780 2022/06/27 23:19:10 - mmengine - INFO - Epoch(train) [16][2300/3757] lr: 1.000e-02 eta: 23:15:18 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0659 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2654 loss: 2.2654 2022/06/27 23:19:15 - mmengine - INFO - Epoch(train) [16][2320/3757] lr: 1.000e-02 eta: 23:15:13 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3402 loss: 2.3402 2022/06/27 23:19:21 - mmengine - INFO - Epoch(train) [16][2340/3757] lr: 1.000e-02 eta: 23:15:11 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.3603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0235 loss: 2.0235 2022/06/27 23:19:26 - mmengine - INFO - Epoch(train) [16][2360/3757] lr: 1.000e-02 eta: 23:15:04 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5624 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2876 loss: 2.2876 2022/06/27 23:19:31 - mmengine - INFO - Epoch(train) [16][2380/3757] lr: 1.000e-02 eta: 23:14:57 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8570 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0689 loss: 2.0689 2022/06/27 23:19:36 - mmengine - INFO - Epoch(train) [16][2400/3757] lr: 1.000e-02 eta: 23:14:53 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.6204 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5149 loss: 2.5149 2022/06/27 23:19:42 - mmengine - INFO - Epoch(train) [16][2420/3757] lr: 1.000e-02 eta: 23:14:48 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.8482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0128 loss: 2.0128 2022/06/27 23:19:47 - mmengine - INFO - Epoch(train) [16][2440/3757] lr: 1.000e-02 eta: 23:14:45 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 5.2948 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1521 loss: 2.1521 2022/06/27 23:19:53 - mmengine - INFO - Epoch(train) [16][2460/3757] lr: 1.000e-02 eta: 23:14:39 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 6.2937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0782 loss: 2.0782 2022/06/27 23:19:58 - mmengine - INFO - Epoch(train) [16][2480/3757] lr: 1.000e-02 eta: 23:14:34 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6930 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2749 loss: 2.2749 2022/06/27 23:20:03 - mmengine - INFO - Epoch(train) [16][2500/3757] lr: 1.000e-02 eta: 23:14:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9206 loss: 1.9206 2022/06/27 23:20:09 - mmengine - INFO - Epoch(train) [16][2520/3757] lr: 1.000e-02 eta: 23:14:27 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.4208 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1459 loss: 2.1459 2022/06/27 23:20:14 - mmengine - INFO - Epoch(train) [16][2540/3757] lr: 1.000e-02 eta: 23:14:19 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5794 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2260 loss: 2.2260 2022/06/27 23:20:20 - mmengine - INFO - Epoch(train) [16][2560/3757] lr: 1.000e-02 eta: 23:14:16 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.7178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4051 loss: 2.4051 2022/06/27 23:20:25 - mmengine - INFO - Epoch(train) [16][2580/3757] lr: 1.000e-02 eta: 23:14:09 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.4029 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4175 loss: 2.4175 2022/06/27 23:20:31 - mmengine - INFO - Epoch(train) [16][2600/3757] lr: 1.000e-02 eta: 23:14:08 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.0355 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0547 loss: 2.0547 2022/06/27 23:20:35 - mmengine - INFO - Epoch(train) [16][2620/3757] lr: 1.000e-02 eta: 23:13:58 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.0647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9001 loss: 1.9001 2022/06/27 23:20:40 - mmengine - INFO - Epoch(train) [16][2640/3757] lr: 1.000e-02 eta: 23:13:53 time: 0.285 data_time: 0.011 memory: 5150 grad_norm: 5.5489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0176 loss: 2.0176 2022/06/27 23:20:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:20:46 - mmengine - INFO - Epoch(train) [16][2660/3757] lr: 1.000e-02 eta: 23:13:48 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.7476 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0985 loss: 2.0985 2022/06/27 23:20:51 - mmengine - INFO - Epoch(train) [16][2680/3757] lr: 1.000e-02 eta: 23:13:44 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 5.8025 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9781 loss: 1.9781 2022/06/27 23:20:57 - mmengine - INFO - Epoch(train) [16][2700/3757] lr: 1.000e-02 eta: 23:13:40 time: 0.437 data_time: 0.016 memory: 5150 grad_norm: 5.0773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1939 loss: 2.1939 2022/06/27 23:21:02 - mmengine - INFO - Epoch(train) [16][2720/3757] lr: 1.000e-02 eta: 23:13:33 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.5492 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1169 loss: 2.1169 2022/06/27 23:21:07 - mmengine - INFO - Epoch(train) [16][2740/3757] lr: 1.000e-02 eta: 23:13:29 time: 0.407 data_time: 0.066 memory: 5150 grad_norm: 6.2189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4535 loss: 2.4535 2022/06/27 23:21:13 - mmengine - INFO - Epoch(train) [16][2760/3757] lr: 1.000e-02 eta: 23:13:25 time: 0.872 data_time: 0.020 memory: 5150 grad_norm: 6.1015 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4448 loss: 2.4448 2022/06/27 23:21:18 - mmengine - INFO - Epoch(train) [16][2780/3757] lr: 1.000e-02 eta: 23:13:18 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1987 loss: 2.1987 2022/06/27 23:21:24 - mmengine - INFO - Epoch(train) [16][2800/3757] lr: 1.000e-02 eta: 23:13:16 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.0877 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1573 loss: 2.1573 2022/06/27 23:21:29 - mmengine - INFO - Epoch(train) [16][2820/3757] lr: 1.000e-02 eta: 23:13:12 time: 0.844 data_time: 0.018 memory: 5150 grad_norm: 6.2629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4911 loss: 2.4911 2022/06/27 23:21:34 - mmengine - INFO - Epoch(train) [16][2840/3757] lr: 1.000e-02 eta: 23:13:06 time: 0.249 data_time: 0.007 memory: 5150 grad_norm: 6.1373 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2898 loss: 2.2898 2022/06/27 23:21:40 - mmengine - INFO - Epoch(train) [16][2860/3757] lr: 1.000e-02 eta: 23:13:02 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5621 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1464 loss: 2.1464 2022/06/27 23:21:44 - mmengine - INFO - Epoch(train) [16][2880/3757] lr: 1.000e-02 eta: 23:12:53 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.3558 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3254 loss: 2.3254 2022/06/27 23:21:50 - mmengine - INFO - Epoch(train) [16][2900/3757] lr: 1.000e-02 eta: 23:12:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1782 loss: 2.1782 2022/06/27 23:21:55 - mmengine - INFO - Epoch(train) [16][2920/3757] lr: 1.000e-02 eta: 23:12:43 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.2221 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5007 loss: 2.5007 2022/06/27 23:22:00 - mmengine - INFO - Epoch(train) [16][2940/3757] lr: 1.000e-02 eta: 23:12:37 time: 0.425 data_time: 0.007 memory: 5150 grad_norm: 5.8381 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3649 loss: 2.3649 2022/06/27 23:22:05 - mmengine - INFO - Epoch(train) [16][2960/3757] lr: 1.000e-02 eta: 23:12:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7749 loss: 1.7749 2022/06/27 23:22:11 - mmengine - INFO - Epoch(train) [16][2980/3757] lr: 1.000e-02 eta: 23:12:27 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4399 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3303 loss: 2.3303 2022/06/27 23:22:16 - mmengine - INFO - Epoch(train) [16][3000/3757] lr: 1.000e-02 eta: 23:12:22 time: 0.413 data_time: 0.007 memory: 5150 grad_norm: 5.8058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0941 loss: 2.0941 2022/06/27 23:22:22 - mmengine - INFO - Epoch(train) [16][3020/3757] lr: 1.000e-02 eta: 23:12:18 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.0378 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1470 loss: 2.1470 2022/06/27 23:22:27 - mmengine - INFO - Epoch(train) [16][3040/3757] lr: 1.000e-02 eta: 23:12:12 time: 0.258 data_time: 0.007 memory: 5150 grad_norm: 6.0195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1437 loss: 2.1437 2022/06/27 23:22:32 - mmengine - INFO - Epoch(train) [16][3060/3757] lr: 1.000e-02 eta: 23:12:06 time: 0.441 data_time: 0.006 memory: 5150 grad_norm: 5.8836 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2853 loss: 2.2853 2022/06/27 23:22:38 - mmengine - INFO - Epoch(train) [16][3080/3757] lr: 1.000e-02 eta: 23:12:02 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4009 loss: 2.4009 2022/06/27 23:22:43 - mmengine - INFO - Epoch(train) [16][3100/3757] lr: 1.000e-02 eta: 23:11:56 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7001 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5247 loss: 2.5247 2022/06/27 23:22:49 - mmengine - INFO - Epoch(train) [16][3120/3757] lr: 1.000e-02 eta: 23:11:53 time: 0.665 data_time: 0.007 memory: 5150 grad_norm: 5.7400 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2445 loss: 2.2445 2022/06/27 23:22:54 - mmengine - INFO - Epoch(train) [16][3140/3757] lr: 1.000e-02 eta: 23:11:47 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1183 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5692 loss: 2.5692 2022/06/27 23:22:59 - mmengine - INFO - Epoch(train) [16][3160/3757] lr: 1.000e-02 eta: 23:11:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.6538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2201 loss: 2.2201 2022/06/27 23:23:04 - mmengine - INFO - Epoch(train) [16][3180/3757] lr: 1.000e-02 eta: 23:11:37 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3641 loss: 2.3641 2022/06/27 23:23:10 - mmengine - INFO - Epoch(train) [16][3200/3757] lr: 1.000e-02 eta: 23:11:33 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.9076 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3121 loss: 2.3121 2022/06/27 23:23:15 - mmengine - INFO - Epoch(train) [16][3220/3757] lr: 1.000e-02 eta: 23:11:29 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 5.5302 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9306 loss: 1.9306 2022/06/27 23:23:21 - mmengine - INFO - Epoch(train) [16][3240/3757] lr: 1.000e-02 eta: 23:11:23 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 5.0860 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5500 loss: 2.5500 2022/06/27 23:23:26 - mmengine - INFO - Epoch(train) [16][3260/3757] lr: 1.000e-02 eta: 23:11:19 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.5017 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3647 loss: 2.3647 2022/06/27 23:23:32 - mmengine - INFO - Epoch(train) [16][3280/3757] lr: 1.000e-02 eta: 23:11:17 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1352 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8827 loss: 1.8827 2022/06/27 23:23:36 - mmengine - INFO - Epoch(train) [16][3300/3757] lr: 1.000e-02 eta: 23:11:07 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.8591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3113 loss: 2.3113 2022/06/27 23:23:41 - mmengine - INFO - Epoch(train) [16][3320/3757] lr: 1.000e-02 eta: 23:10:59 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.6016 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5936 loss: 2.5936 2022/06/27 23:23:47 - mmengine - INFO - Epoch(train) [16][3340/3757] lr: 1.000e-02 eta: 23:10:57 time: 0.238 data_time: 0.008 memory: 5150 grad_norm: 5.4236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2758 loss: 2.2758 2022/06/27 23:23:52 - mmengine - INFO - Epoch(train) [16][3360/3757] lr: 1.000e-02 eta: 23:10:51 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.3059 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0197 loss: 2.0197 2022/06/27 23:23:58 - mmengine - INFO - Epoch(train) [16][3380/3757] lr: 1.000e-02 eta: 23:10:49 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.9792 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2670 loss: 2.2670 2022/06/27 23:24:04 - mmengine - INFO - Epoch(train) [16][3400/3757] lr: 1.000e-02 eta: 23:10:45 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 5.1241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7435 loss: 1.7435 2022/06/27 23:24:09 - mmengine - INFO - Epoch(train) [16][3420/3757] lr: 1.000e-02 eta: 23:10:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1498 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5996 loss: 2.5996 2022/06/27 23:24:14 - mmengine - INFO - Epoch(train) [16][3440/3757] lr: 1.000e-02 eta: 23:10:35 time: 0.193 data_time: 0.016 memory: 5150 grad_norm: 5.3577 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3259 loss: 2.3259 2022/06/27 23:24:20 - mmengine - INFO - Epoch(train) [16][3460/3757] lr: 1.000e-02 eta: 23:10:33 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 5.9794 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1983 loss: 2.1983 2022/06/27 23:24:25 - mmengine - INFO - Epoch(train) [16][3480/3757] lr: 1.000e-02 eta: 23:10:24 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 5.6329 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5678 loss: 2.5678 2022/06/27 23:24:30 - mmengine - INFO - Epoch(train) [16][3500/3757] lr: 1.000e-02 eta: 23:10:20 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 4.8357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8863 loss: 1.8863 2022/06/27 23:24:36 - mmengine - INFO - Epoch(train) [16][3520/3757] lr: 1.000e-02 eta: 23:10:18 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.9487 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0079 loss: 2.0079 2022/06/27 23:24:41 - mmengine - INFO - Epoch(train) [16][3540/3757] lr: 1.000e-02 eta: 23:10:08 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9467 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4589 loss: 2.4589 2022/06/27 23:24:46 - mmengine - INFO - Epoch(train) [16][3560/3757] lr: 1.000e-02 eta: 23:10:05 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.7893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0663 loss: 2.0663 2022/06/27 23:24:52 - mmengine - INFO - Epoch(train) [16][3580/3757] lr: 1.000e-02 eta: 23:10:02 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.4295 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4501 loss: 2.4501 2022/06/27 23:24:57 - mmengine - INFO - Epoch(train) [16][3600/3757] lr: 1.000e-02 eta: 23:09:53 time: 0.188 data_time: 0.011 memory: 5150 grad_norm: 5.3903 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1535 loss: 2.1535 2022/06/27 23:25:02 - mmengine - INFO - Epoch(train) [16][3620/3757] lr: 1.000e-02 eta: 23:09:49 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.7438 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2016 loss: 2.2016 2022/06/27 23:25:09 - mmengine - INFO - Epoch(train) [16][3640/3757] lr: 1.000e-02 eta: 23:09:51 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.1001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/06/27 23:25:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:25:13 - mmengine - INFO - Epoch(train) [16][3660/3757] lr: 1.000e-02 eta: 23:09:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6520 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1980 loss: 2.1980 2022/06/27 23:25:17 - mmengine - INFO - Epoch(train) [16][3680/3757] lr: 1.000e-02 eta: 23:09:29 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.8163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1307 loss: 2.1307 2022/06/27 23:25:22 - mmengine - INFO - Epoch(train) [16][3700/3757] lr: 1.000e-02 eta: 23:09:23 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.6753 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4080 loss: 2.4080 2022/06/27 23:25:28 - mmengine - INFO - Epoch(train) [16][3720/3757] lr: 1.000e-02 eta: 23:09:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9625 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6689 loss: 2.6689 2022/06/27 23:25:33 - mmengine - INFO - Epoch(train) [16][3740/3757] lr: 1.000e-02 eta: 23:09:10 time: 0.244 data_time: 0.007 memory: 5150 grad_norm: 5.6900 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0989 loss: 2.0989 2022/06/27 23:25:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:26:09 - mmengine - INFO - Epoch(val) [16][20/310] eta: 0:05:33 time: 0.991 data_time: 0.347 memory: 9746 2022/06/27 23:26:31 - mmengine - INFO - Epoch(val) [16][40/310] eta: 0:04:41 time: 1.034 data_time: 0.394 memory: 9746 2022/06/27 23:26:55 - mmengine - INFO - Epoch(val) [16][60/310] eta: 0:04:24 time: 1.081 data_time: 0.443 memory: 9746 2022/06/27 23:27:19 - mmengine - INFO - Epoch(val) [16][80/310] eta: 0:04:54 time: 1.095 data_time: 0.415 memory: 9746 2022/06/27 23:27:42 - mmengine - INFO - Epoch(val) [16][100/310] eta: 0:04:15 time: 2.454 data_time: 1.772 memory: 9746 2022/06/27 23:28:04 - mmengine - INFO - Epoch(val) [16][120/310] eta: 0:03:18 time: 1.104 data_time: 0.450 memory: 9746 2022/06/27 23:28:28 - mmengine - INFO - Epoch(val) [16][140/310] eta: 0:03:22 time: 1.082 data_time: 0.407 memory: 9746 2022/06/27 23:28:53 - mmengine - INFO - Epoch(val) [16][160/310] eta: 0:03:20 time: 3.303 data_time: 2.648 memory: 9746 2022/06/27 23:29:16 - mmengine - INFO - Epoch(val) [16][180/310] eta: 0:02:46 time: 1.057 data_time: 0.414 memory: 9746 2022/06/27 23:29:38 - mmengine - INFO - Epoch(val) [16][200/310] eta: 0:02:03 time: 1.075 data_time: 0.426 memory: 9746 2022/06/27 23:30:00 - mmengine - INFO - Epoch(val) [16][220/310] eta: 0:01:43 time: 1.113 data_time: 0.476 memory: 9746 2022/06/27 23:30:21 - mmengine - INFO - Epoch(val) [16][240/310] eta: 0:01:11 time: 1.041 data_time: 0.389 memory: 9746 2022/06/27 23:30:42 - mmengine - INFO - Epoch(val) [16][260/310] eta: 0:00:53 time: 1.010 data_time: 0.367 memory: 9746 2022/06/27 23:31:06 - mmengine - INFO - Epoch(val) [16][280/310] eta: 0:00:33 time: 1.645 data_time: 1.019 memory: 9746 2022/06/27 23:31:26 - mmengine - INFO - Epoch(val) [16][300/310] eta: 0:00:09 time: 0.682 data_time: 0.099 memory: 9746 2022/06/27 23:31:38 - mmengine - INFO - Epoch(val) [16][310/310] acc/top1: 0.5740 acc/top5: 0.8201 acc/mean1: 0.5740 2022/06/27 23:31:46 - mmengine - INFO - Epoch(train) [17][20/3757] lr: 1.000e-02 eta: 23:09:05 time: 0.201 data_time: 0.008 memory: 9746 grad_norm: 5.2161 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2957 loss: 2.2957 2022/06/27 23:31:52 - mmengine - INFO - Epoch(train) [17][40/3757] lr: 1.000e-02 eta: 23:09:01 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3068 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0498 loss: 2.0498 2022/06/27 23:31:57 - mmengine - INFO - Epoch(train) [17][60/3757] lr: 1.000e-02 eta: 23:08:55 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2155 loss: 2.2155 2022/06/27 23:32:03 - mmengine - INFO - Epoch(train) [17][80/3757] lr: 1.000e-02 eta: 23:08:51 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1189 loss: 2.1189 2022/06/27 23:32:08 - mmengine - INFO - Epoch(train) [17][100/3757] lr: 1.000e-02 eta: 23:08:46 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5058 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7124 loss: 1.7124 2022/06/27 23:32:13 - mmengine - INFO - Epoch(train) [17][120/3757] lr: 1.000e-02 eta: 23:08:40 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.2007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0578 loss: 2.0578 2022/06/27 23:32:18 - mmengine - INFO - Epoch(train) [17][140/3757] lr: 1.000e-02 eta: 23:08:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6201 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9696 loss: 1.9696 2022/06/27 23:32:24 - mmengine - INFO - Epoch(train) [17][160/3757] lr: 1.000e-02 eta: 23:08:31 time: 0.191 data_time: 0.016 memory: 5150 grad_norm: 5.1048 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0009 loss: 2.0009 2022/06/27 23:32:29 - mmengine - INFO - Epoch(train) [17][180/3757] lr: 1.000e-02 eta: 23:08:25 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.2147 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1454 loss: 2.1454 2022/06/27 23:32:34 - mmengine - INFO - Epoch(train) [17][200/3757] lr: 1.000e-02 eta: 23:08:19 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.2416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3882 loss: 2.3882 2022/06/27 23:32:40 - mmengine - INFO - Epoch(train) [17][220/3757] lr: 1.000e-02 eta: 23:08:15 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.5207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2906 loss: 2.2906 2022/06/27 23:32:45 - mmengine - INFO - Epoch(train) [17][240/3757] lr: 1.000e-02 eta: 23:08:11 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0820 loss: 2.0820 2022/06/27 23:32:50 - mmengine - INFO - Epoch(train) [17][260/3757] lr: 1.000e-02 eta: 23:08:06 time: 0.304 data_time: 0.007 memory: 5150 grad_norm: 5.2851 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7219 loss: 1.7219 2022/06/27 23:32:56 - mmengine - INFO - Epoch(train) [17][280/3757] lr: 1.000e-02 eta: 23:08:03 time: 0.196 data_time: 0.025 memory: 5150 grad_norm: 5.9387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4718 loss: 2.4718 2022/06/27 23:33:02 - mmengine - INFO - Epoch(train) [17][300/3757] lr: 1.000e-02 eta: 23:07:58 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0503 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1914 loss: 2.1914 2022/06/27 23:33:07 - mmengine - INFO - Epoch(train) [17][320/3757] lr: 1.000e-02 eta: 23:07:52 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.9250 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.5834 loss: 2.5834 2022/06/27 23:33:12 - mmengine - INFO - Epoch(train) [17][340/3757] lr: 1.000e-02 eta: 23:07:47 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.6233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3796 loss: 2.3796 2022/06/27 23:33:17 - mmengine - INFO - Epoch(train) [17][360/3757] lr: 1.000e-02 eta: 23:07:39 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6758 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4188 loss: 2.4188 2022/06/27 23:33:23 - mmengine - INFO - Epoch(train) [17][380/3757] lr: 1.000e-02 eta: 23:07:36 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 4.9835 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1720 loss: 2.1720 2022/06/27 23:33:28 - mmengine - INFO - Epoch(train) [17][400/3757] lr: 1.000e-02 eta: 23:07:33 time: 0.396 data_time: 0.011 memory: 5150 grad_norm: 5.1450 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4297 loss: 2.4297 2022/06/27 23:33:33 - mmengine - INFO - Epoch(train) [17][420/3757] lr: 1.000e-02 eta: 23:07:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8882 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1900 loss: 2.1900 2022/06/27 23:33:39 - mmengine - INFO - Epoch(train) [17][440/3757] lr: 1.000e-02 eta: 23:07:22 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.4317 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0306 loss: 2.0306 2022/06/27 23:33:45 - mmengine - INFO - Epoch(train) [17][460/3757] lr: 1.000e-02 eta: 23:07:20 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 6.3042 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2077 loss: 2.2077 2022/06/27 23:33:49 - mmengine - INFO - Epoch(train) [17][480/3757] lr: 1.000e-02 eta: 23:07:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8310 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3106 loss: 2.3106 2022/06/27 23:33:55 - mmengine - INFO - Epoch(train) [17][500/3757] lr: 1.000e-02 eta: 23:07:09 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9557 loss: 1.9557 2022/06/27 23:34:01 - mmengine - INFO - Epoch(train) [17][520/3757] lr: 1.000e-02 eta: 23:07:08 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.4810 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1577 loss: 2.1577 2022/06/27 23:34:06 - mmengine - INFO - Epoch(train) [17][540/3757] lr: 1.000e-02 eta: 23:06:58 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.6807 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1162 loss: 2.1162 2022/06/27 23:34:11 - mmengine - INFO - Epoch(train) [17][560/3757] lr: 1.000e-02 eta: 23:06:55 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.1545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9524 loss: 1.9524 2022/06/27 23:34:17 - mmengine - INFO - Epoch(train) [17][580/3757] lr: 1.000e-02 eta: 23:06:49 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 6.1489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9443 loss: 1.9443 2022/06/27 23:34:21 - mmengine - INFO - Epoch(train) [17][600/3757] lr: 1.000e-02 eta: 23:06:41 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.4096 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1110 loss: 2.1110 2022/06/27 23:34:27 - mmengine - INFO - Epoch(train) [17][620/3757] lr: 1.000e-02 eta: 23:06:35 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.5833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0162 loss: 2.0162 2022/06/27 23:34:32 - mmengine - INFO - Epoch(train) [17][640/3757] lr: 1.000e-02 eta: 23:06:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.0951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9156 loss: 1.9156 2022/06/27 23:34:37 - mmengine - INFO - Epoch(train) [17][660/3757] lr: 1.000e-02 eta: 23:06:25 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.7433 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7045 loss: 2.7045 2022/06/27 23:34:43 - mmengine - INFO - Epoch(train) [17][680/3757] lr: 1.000e-02 eta: 23:06:24 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 5.3721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7724 loss: 1.7724 2022/06/27 23:34:48 - mmengine - INFO - Epoch(train) [17][700/3757] lr: 1.000e-02 eta: 23:06:18 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.4713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5862 loss: 2.5862 2022/06/27 23:34:53 - mmengine - INFO - Epoch(train) [17][720/3757] lr: 1.000e-02 eta: 23:06:11 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.4433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0428 loss: 2.0428 2022/06/27 23:35:00 - mmengine - INFO - Epoch(train) [17][740/3757] lr: 1.000e-02 eta: 23:06:11 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.7537 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4971 loss: 2.4971 2022/06/27 23:35:05 - mmengine - INFO - Epoch(train) [17][760/3757] lr: 1.000e-02 eta: 23:06:04 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.5701 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3475 loss: 2.3475 2022/06/27 23:35:09 - mmengine - INFO - Epoch(train) [17][780/3757] lr: 1.000e-02 eta: 23:05:56 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.3219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9969 loss: 1.9969 2022/06/27 23:35:15 - mmengine - INFO - Epoch(train) [17][800/3757] lr: 1.000e-02 eta: 23:05:54 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6778 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0026 loss: 2.0026 2022/06/27 23:35:21 - mmengine - INFO - Epoch(train) [17][820/3757] lr: 1.000e-02 eta: 23:05:51 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.5460 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0512 loss: 2.0512 2022/06/27 23:35:26 - mmengine - INFO - Epoch(train) [17][840/3757] lr: 1.000e-02 eta: 23:05:44 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 4.9826 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0553 loss: 2.0553 2022/06/27 23:35:31 - mmengine - INFO - Epoch(train) [17][860/3757] lr: 1.000e-02 eta: 23:05:39 time: 0.216 data_time: 0.017 memory: 5150 grad_norm: 5.0976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4314 loss: 2.4314 2022/06/27 23:35:37 - mmengine - INFO - Epoch(train) [17][880/3757] lr: 1.000e-02 eta: 23:05:35 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.7687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7852 loss: 2.7852 2022/06/27 23:35:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:35:42 - mmengine - INFO - Epoch(train) [17][900/3757] lr: 1.000e-02 eta: 23:05:27 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.5872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2002 loss: 2.2002 2022/06/27 23:35:47 - mmengine - INFO - Epoch(train) [17][920/3757] lr: 1.000e-02 eta: 23:05:24 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.0217 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0891 loss: 2.0891 2022/06/27 23:35:53 - mmengine - INFO - Epoch(train) [17][940/3757] lr: 1.000e-02 eta: 23:05:21 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 5.7397 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2824 loss: 2.2824 2022/06/27 23:35:58 - mmengine - INFO - Epoch(train) [17][960/3757] lr: 1.000e-02 eta: 23:05:11 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.2127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7733 loss: 1.7733 2022/06/27 23:36:04 - mmengine - INFO - Epoch(train) [17][980/3757] lr: 1.000e-02 eta: 23:05:10 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 5.9778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9841 loss: 1.9841 2022/06/27 23:36:08 - mmengine - INFO - Epoch(train) [17][1000/3757] lr: 1.000e-02 eta: 23:04:59 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 5.1013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3093 loss: 2.3093 2022/06/27 23:36:12 - mmengine - INFO - Epoch(train) [17][1020/3757] lr: 1.000e-02 eta: 23:04:49 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.5611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4415 loss: 2.4415 2022/06/27 23:36:18 - mmengine - INFO - Epoch(train) [17][1040/3757] lr: 1.000e-02 eta: 23:04:47 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.5639 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2002 loss: 2.2002 2022/06/27 23:36:23 - mmengine - INFO - Epoch(train) [17][1060/3757] lr: 1.000e-02 eta: 23:04:41 time: 0.276 data_time: 0.011 memory: 5150 grad_norm: 6.5106 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1064 loss: 2.1064 2022/06/27 23:36:29 - mmengine - INFO - Epoch(train) [17][1080/3757] lr: 1.000e-02 eta: 23:04:36 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 5.7290 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9272 loss: 1.9272 2022/06/27 23:36:34 - mmengine - INFO - Epoch(train) [17][1100/3757] lr: 1.000e-02 eta: 23:04:31 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.3693 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3618 loss: 2.3618 2022/06/27 23:36:40 - mmengine - INFO - Epoch(train) [17][1120/3757] lr: 1.000e-02 eta: 23:04:27 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5023 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8850 loss: 1.8850 2022/06/27 23:36:45 - mmengine - INFO - Epoch(train) [17][1140/3757] lr: 1.000e-02 eta: 23:04:23 time: 0.444 data_time: 0.007 memory: 5150 grad_norm: 5.8451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8390 loss: 1.8390 2022/06/27 23:36:50 - mmengine - INFO - Epoch(train) [17][1160/3757] lr: 1.000e-02 eta: 23:04:16 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.3368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8254 loss: 1.8254 2022/06/27 23:36:55 - mmengine - INFO - Epoch(train) [17][1180/3757] lr: 1.000e-02 eta: 23:04:12 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 5.6457 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1247 loss: 2.1247 2022/06/27 23:37:01 - mmengine - INFO - Epoch(train) [17][1200/3757] lr: 1.000e-02 eta: 23:04:09 time: 0.623 data_time: 0.008 memory: 5150 grad_norm: 5.6648 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4963 loss: 2.4963 2022/06/27 23:37:06 - mmengine - INFO - Epoch(train) [17][1220/3757] lr: 1.000e-02 eta: 23:04:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8759 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2513 loss: 2.2513 2022/06/27 23:37:12 - mmengine - INFO - Epoch(train) [17][1240/3757] lr: 1.000e-02 eta: 23:03:57 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 5.2547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9710 loss: 1.9710 2022/06/27 23:37:17 - mmengine - INFO - Epoch(train) [17][1260/3757] lr: 1.000e-02 eta: 23:03:53 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.2186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0814 loss: 2.0814 2022/06/27 23:37:22 - mmengine - INFO - Epoch(train) [17][1280/3757] lr: 1.000e-02 eta: 23:03:46 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.0637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2518 loss: 2.2518 2022/06/27 23:37:28 - mmengine - INFO - Epoch(train) [17][1300/3757] lr: 1.000e-02 eta: 23:03:42 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.9680 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1940 loss: 2.1940 2022/06/27 23:37:33 - mmengine - INFO - Epoch(train) [17][1320/3757] lr: 1.000e-02 eta: 23:03:37 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 5.6111 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3775 loss: 2.3775 2022/06/27 23:37:38 - mmengine - INFO - Epoch(train) [17][1340/3757] lr: 1.000e-02 eta: 23:03:31 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 4.8684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2123 loss: 2.2123 2022/06/27 23:37:43 - mmengine - INFO - Epoch(train) [17][1360/3757] lr: 1.000e-02 eta: 23:03:26 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.0684 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2214 loss: 2.2214 2022/06/27 23:37:49 - mmengine - INFO - Epoch(train) [17][1380/3757] lr: 1.000e-02 eta: 23:03:21 time: 0.259 data_time: 0.007 memory: 5150 grad_norm: 5.5253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2509 loss: 2.2509 2022/06/27 23:37:54 - mmengine - INFO - Epoch(train) [17][1400/3757] lr: 1.000e-02 eta: 23:03:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4133 loss: 2.4133 2022/06/27 23:37:59 - mmengine - INFO - Epoch(train) [17][1420/3757] lr: 1.000e-02 eta: 23:03:11 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7734 loss: 1.7734 2022/06/27 23:38:05 - mmengine - INFO - Epoch(train) [17][1440/3757] lr: 1.000e-02 eta: 23:03:06 time: 0.233 data_time: 0.010 memory: 5150 grad_norm: 5.2062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9841 loss: 1.9841 2022/06/27 23:38:10 - mmengine - INFO - Epoch(train) [17][1460/3757] lr: 1.000e-02 eta: 23:03:02 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6401 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8395 loss: 1.8395 2022/06/27 23:38:16 - mmengine - INFO - Epoch(train) [17][1480/3757] lr: 1.000e-02 eta: 23:02:58 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 5.4500 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2445 loss: 2.2445 2022/06/27 23:38:21 - mmengine - INFO - Epoch(train) [17][1500/3757] lr: 1.000e-02 eta: 23:02:51 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 5.5677 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3402 loss: 2.3402 2022/06/27 23:38:26 - mmengine - INFO - Epoch(train) [17][1520/3757] lr: 1.000e-02 eta: 23:02:47 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9392 loss: 1.9392 2022/06/27 23:38:31 - mmengine - INFO - Epoch(train) [17][1540/3757] lr: 1.000e-02 eta: 23:02:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0610 loss: 2.0610 2022/06/27 23:38:37 - mmengine - INFO - Epoch(train) [17][1560/3757] lr: 1.000e-02 eta: 23:02:35 time: 0.716 data_time: 0.011 memory: 5150 grad_norm: 6.7533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2955 loss: 2.2955 2022/06/27 23:38:41 - mmengine - INFO - Epoch(train) [17][1580/3757] lr: 1.000e-02 eta: 23:02:27 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 6.3537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1242 loss: 2.1242 2022/06/27 23:38:47 - mmengine - INFO - Epoch(train) [17][1600/3757] lr: 1.000e-02 eta: 23:02:26 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0256 loss: 2.0256 2022/06/27 23:38:53 - mmengine - INFO - Epoch(train) [17][1620/3757] lr: 1.000e-02 eta: 23:02:20 time: 0.581 data_time: 0.015 memory: 5150 grad_norm: 5.9781 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6716 loss: 2.6716 2022/06/27 23:38:58 - mmengine - INFO - Epoch(train) [17][1640/3757] lr: 1.000e-02 eta: 23:02:14 time: 0.218 data_time: 0.010 memory: 5150 grad_norm: 5.7993 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8933 loss: 1.8933 2022/06/27 23:39:03 - mmengine - INFO - Epoch(train) [17][1660/3757] lr: 1.000e-02 eta: 23:02:07 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.0385 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5620 loss: 2.5620 2022/06/27 23:39:08 - mmengine - INFO - Epoch(train) [17][1680/3757] lr: 1.000e-02 eta: 23:02:02 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.8057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4815 loss: 2.4815 2022/06/27 23:39:14 - mmengine - INFO - Epoch(train) [17][1700/3757] lr: 1.000e-02 eta: 23:01:58 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.5787 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8083 loss: 1.8083 2022/06/27 23:39:19 - mmengine - INFO - Epoch(train) [17][1720/3757] lr: 1.000e-02 eta: 23:01:55 time: 0.203 data_time: 0.020 memory: 5150 grad_norm: 5.7145 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9792 loss: 1.9792 2022/06/27 23:39:24 - mmengine - INFO - Epoch(train) [17][1740/3757] lr: 1.000e-02 eta: 23:01:48 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.2384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9920 loss: 1.9920 2022/06/27 23:39:29 - mmengine - INFO - Epoch(train) [17][1760/3757] lr: 1.000e-02 eta: 23:01:41 time: 0.230 data_time: 0.012 memory: 5150 grad_norm: 5.1489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4052 loss: 2.4052 2022/06/27 23:39:34 - mmengine - INFO - Epoch(train) [17][1780/3757] lr: 1.000e-02 eta: 23:01:34 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.1273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0385 loss: 2.0385 2022/06/27 23:39:40 - mmengine - INFO - Epoch(train) [17][1800/3757] lr: 1.000e-02 eta: 23:01:33 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 5.8225 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2283 loss: 2.2283 2022/06/27 23:39:45 - mmengine - INFO - Epoch(train) [17][1820/3757] lr: 1.000e-02 eta: 23:01:26 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.9455 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3490 loss: 2.3490 2022/06/27 23:39:50 - mmengine - INFO - Epoch(train) [17][1840/3757] lr: 1.000e-02 eta: 23:01:20 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.2166 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.4391 loss: 2.4391 2022/06/27 23:39:56 - mmengine - INFO - Epoch(train) [17][1860/3757] lr: 1.000e-02 eta: 23:01:15 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.9482 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1081 loss: 2.1081 2022/06/27 23:40:01 - mmengine - INFO - Epoch(train) [17][1880/3757] lr: 1.000e-02 eta: 23:01:08 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.7644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0645 loss: 2.0645 2022/06/27 23:40:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:40:06 - mmengine - INFO - Epoch(train) [17][1900/3757] lr: 1.000e-02 eta: 23:01:04 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.5158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3895 loss: 2.3895 2022/06/27 23:40:11 - mmengine - INFO - Epoch(train) [17][1920/3757] lr: 1.000e-02 eta: 23:00:58 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.8909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4549 loss: 2.4549 2022/06/27 23:40:16 - mmengine - INFO - Epoch(train) [17][1940/3757] lr: 1.000e-02 eta: 23:00:49 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.7319 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3874 loss: 2.3874 2022/06/27 23:40:22 - mmengine - INFO - Epoch(train) [17][1960/3757] lr: 1.000e-02 eta: 23:00:46 time: 0.203 data_time: 0.025 memory: 5150 grad_norm: 5.9570 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3557 loss: 2.3557 2022/06/27 23:40:27 - mmengine - INFO - Epoch(train) [17][1980/3757] lr: 1.000e-02 eta: 23:00:38 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.5739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1302 loss: 2.1302 2022/06/27 23:40:32 - mmengine - INFO - Epoch(train) [17][2000/3757] lr: 1.000e-02 eta: 23:00:31 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.5040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2234 loss: 2.2234 2022/06/27 23:40:37 - mmengine - INFO - Epoch(train) [17][2020/3757] lr: 1.000e-02 eta: 23:00:29 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9845 loss: 1.9845 2022/06/27 23:40:42 - mmengine - INFO - Epoch(train) [17][2040/3757] lr: 1.000e-02 eta: 23:00:19 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.3488 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3378 loss: 2.3378 2022/06/27 23:40:47 - mmengine - INFO - Epoch(train) [17][2060/3757] lr: 1.000e-02 eta: 23:00:14 time: 0.205 data_time: 0.023 memory: 5150 grad_norm: 5.7174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1194 loss: 2.1194 2022/06/27 23:40:53 - mmengine - INFO - Epoch(train) [17][2080/3757] lr: 1.000e-02 eta: 23:00:11 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.8417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2779 loss: 2.2779 2022/06/27 23:40:58 - mmengine - INFO - Epoch(train) [17][2100/3757] lr: 1.000e-02 eta: 23:00:05 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.6049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3355 loss: 2.3355 2022/06/27 23:41:03 - mmengine - INFO - Epoch(train) [17][2120/3757] lr: 1.000e-02 eta: 23:00:01 time: 0.362 data_time: 0.022 memory: 5150 grad_norm: 5.3590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0597 loss: 2.0597 2022/06/27 23:41:09 - mmengine - INFO - Epoch(train) [17][2140/3757] lr: 1.000e-02 eta: 22:59:56 time: 0.364 data_time: 0.007 memory: 5150 grad_norm: 5.5375 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2929 loss: 2.2929 2022/06/27 23:41:14 - mmengine - INFO - Epoch(train) [17][2160/3757] lr: 1.000e-02 eta: 22:59:51 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8924 loss: 1.8924 2022/06/27 23:41:19 - mmengine - INFO - Epoch(train) [17][2180/3757] lr: 1.000e-02 eta: 22:59:45 time: 0.281 data_time: 0.020 memory: 5150 grad_norm: 5.5364 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2752 loss: 2.2752 2022/06/27 23:41:25 - mmengine - INFO - Epoch(train) [17][2200/3757] lr: 1.000e-02 eta: 22:59:42 time: 0.589 data_time: 0.007 memory: 5150 grad_norm: 5.9475 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0576 loss: 2.0576 2022/06/27 23:41:30 - mmengine - INFO - Epoch(train) [17][2220/3757] lr: 1.000e-02 eta: 22:59:35 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 5.8290 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9926 loss: 1.9926 2022/06/27 23:41:35 - mmengine - INFO - Epoch(train) [17][2240/3757] lr: 1.000e-02 eta: 22:59:31 time: 0.218 data_time: 0.015 memory: 5150 grad_norm: 5.1273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8591 loss: 1.8591 2022/06/27 23:41:41 - mmengine - INFO - Epoch(train) [17][2260/3757] lr: 1.000e-02 eta: 22:59:25 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0178 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0274 loss: 2.0274 2022/06/27 23:41:46 - mmengine - INFO - Epoch(train) [17][2280/3757] lr: 1.000e-02 eta: 22:59:21 time: 0.197 data_time: 0.022 memory: 5150 grad_norm: 4.9860 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4957 loss: 2.4957 2022/06/27 23:41:52 - mmengine - INFO - Epoch(train) [17][2300/3757] lr: 1.000e-02 eta: 22:59:17 time: 0.632 data_time: 0.009 memory: 5150 grad_norm: 5.6718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9623 loss: 1.9623 2022/06/27 23:41:57 - mmengine - INFO - Epoch(train) [17][2320/3757] lr: 1.000e-02 eta: 22:59:12 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 4.8200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2482 loss: 2.2482 2022/06/27 23:42:02 - mmengine - INFO - Epoch(train) [17][2340/3757] lr: 1.000e-02 eta: 22:59:07 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 4.8394 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3250 loss: 2.3250 2022/06/27 23:42:08 - mmengine - INFO - Epoch(train) [17][2360/3757] lr: 1.000e-02 eta: 22:59:02 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.8979 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4652 loss: 2.4652 2022/06/27 23:42:14 - mmengine - INFO - Epoch(train) [17][2380/3757] lr: 1.000e-02 eta: 22:58:59 time: 0.747 data_time: 0.028 memory: 5150 grad_norm: 5.8720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2049 loss: 2.2049 2022/06/27 23:42:19 - mmengine - INFO - Epoch(train) [17][2400/3757] lr: 1.000e-02 eta: 22:58:54 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.0604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9165 loss: 1.9165 2022/06/27 23:42:24 - mmengine - INFO - Epoch(train) [17][2420/3757] lr: 1.000e-02 eta: 22:58:49 time: 0.471 data_time: 0.010 memory: 5150 grad_norm: 6.2234 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3864 loss: 2.3864 2022/06/27 23:42:30 - mmengine - INFO - Epoch(train) [17][2440/3757] lr: 1.000e-02 eta: 22:58:45 time: 0.264 data_time: 0.045 memory: 5150 grad_norm: 5.4796 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1753 loss: 2.1753 2022/06/27 23:42:35 - mmengine - INFO - Epoch(train) [17][2460/3757] lr: 1.000e-02 eta: 22:58:38 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.1380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7378 loss: 1.7378 2022/06/27 23:42:40 - mmengine - INFO - Epoch(train) [17][2480/3757] lr: 1.000e-02 eta: 22:58:33 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2189 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2287 loss: 2.2287 2022/06/27 23:42:45 - mmengine - INFO - Epoch(train) [17][2500/3757] lr: 1.000e-02 eta: 22:58:28 time: 0.770 data_time: 0.021 memory: 5150 grad_norm: 5.8705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5557 loss: 2.5557 2022/06/27 23:42:51 - mmengine - INFO - Epoch(train) [17][2520/3757] lr: 1.000e-02 eta: 22:58:23 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.9454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1550 loss: 2.1550 2022/06/27 23:42:56 - mmengine - INFO - Epoch(train) [17][2540/3757] lr: 1.000e-02 eta: 22:58:19 time: 0.226 data_time: 0.006 memory: 5150 grad_norm: 5.1091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1940 loss: 2.1940 2022/06/27 23:43:02 - mmengine - INFO - Epoch(train) [17][2560/3757] lr: 1.000e-02 eta: 22:58:18 time: 1.482 data_time: 0.025 memory: 5150 grad_norm: 5.8154 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.9580 loss: 1.9580 2022/06/27 23:43:07 - mmengine - INFO - Epoch(train) [17][2580/3757] lr: 1.000e-02 eta: 22:58:08 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.2562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9176 loss: 1.9176 2022/06/27 23:43:12 - mmengine - INFO - Epoch(train) [17][2600/3757] lr: 1.000e-02 eta: 22:58:04 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 5.6608 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4064 loss: 2.4064 2022/06/27 23:43:17 - mmengine - INFO - Epoch(train) [17][2620/3757] lr: 1.000e-02 eta: 22:57:58 time: 0.982 data_time: 0.010 memory: 5150 grad_norm: 5.8286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2948 loss: 2.2948 2022/06/27 23:43:23 - mmengine - INFO - Epoch(train) [17][2640/3757] lr: 1.000e-02 eta: 22:57:52 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4742 loss: 2.4742 2022/06/27 23:43:28 - mmengine - INFO - Epoch(train) [17][2660/3757] lr: 1.000e-02 eta: 22:57:46 time: 0.524 data_time: 0.010 memory: 5150 grad_norm: 6.1984 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3589 loss: 2.3589 2022/06/27 23:43:33 - mmengine - INFO - Epoch(train) [17][2680/3757] lr: 1.000e-02 eta: 22:57:39 time: 0.336 data_time: 0.017 memory: 5150 grad_norm: 5.3155 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6278 loss: 2.6278 2022/06/27 23:43:39 - mmengine - INFO - Epoch(train) [17][2700/3757] lr: 1.000e-02 eta: 22:57:37 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.7326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3664 loss: 2.3664 2022/06/27 23:43:44 - mmengine - INFO - Epoch(train) [17][2720/3757] lr: 1.000e-02 eta: 22:57:33 time: 0.778 data_time: 0.008 memory: 5150 grad_norm: 6.4023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2871 loss: 2.2871 2022/06/27 23:43:49 - mmengine - INFO - Epoch(train) [17][2740/3757] lr: 1.000e-02 eta: 22:57:27 time: 0.503 data_time: 0.015 memory: 5150 grad_norm: 5.5964 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3889 loss: 2.3889 2022/06/27 23:43:55 - mmengine - INFO - Epoch(train) [17][2760/3757] lr: 1.000e-02 eta: 22:57:24 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.0027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8113 loss: 1.8113 2022/06/27 23:44:00 - mmengine - INFO - Epoch(train) [17][2780/3757] lr: 1.000e-02 eta: 22:57:17 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.1988 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3490 loss: 2.3490 2022/06/27 23:44:05 - mmengine - INFO - Epoch(train) [17][2800/3757] lr: 1.000e-02 eta: 22:57:12 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 5.9229 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2328 loss: 2.2328 2022/06/27 23:44:10 - mmengine - INFO - Epoch(train) [17][2820/3757] lr: 1.000e-02 eta: 22:57:06 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.3359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3017 loss: 2.3017 2022/06/27 23:44:16 - mmengine - INFO - Epoch(train) [17][2840/3757] lr: 1.000e-02 eta: 22:57:02 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.9879 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5583 loss: 2.5583 2022/06/27 23:44:21 - mmengine - INFO - Epoch(train) [17][2860/3757] lr: 1.000e-02 eta: 22:56:57 time: 0.727 data_time: 0.019 memory: 5150 grad_norm: 5.6065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2016 loss: 2.2016 2022/06/27 23:44:26 - mmengine - INFO - Epoch(train) [17][2880/3757] lr: 1.000e-02 eta: 22:56:50 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 5.3578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1075 loss: 2.1075 2022/06/27 23:44:28 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:44:31 - mmengine - INFO - Epoch(train) [17][2900/3757] lr: 1.000e-02 eta: 22:56:44 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.9848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0276 loss: 2.0276 2022/06/27 23:44:37 - mmengine - INFO - Epoch(train) [17][2920/3757] lr: 1.000e-02 eta: 22:56:38 time: 0.369 data_time: 0.017 memory: 5150 grad_norm: 5.7832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/06/27 23:44:42 - mmengine - INFO - Epoch(train) [17][2940/3757] lr: 1.000e-02 eta: 22:56:33 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.3851 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3547 loss: 2.3547 2022/06/27 23:44:48 - mmengine - INFO - Epoch(train) [17][2960/3757] lr: 1.000e-02 eta: 22:56:31 time: 0.955 data_time: 0.011 memory: 5150 grad_norm: 5.6324 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2735 loss: 2.2735 2022/06/27 23:44:53 - mmengine - INFO - Epoch(train) [17][2980/3757] lr: 1.000e-02 eta: 22:56:25 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1942 loss: 2.1942 2022/06/27 23:44:59 - mmengine - INFO - Epoch(train) [17][3000/3757] lr: 1.000e-02 eta: 22:56:24 time: 0.242 data_time: 0.007 memory: 5150 grad_norm: 5.4701 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4044 loss: 2.4044 2022/06/27 23:45:05 - mmengine - INFO - Epoch(train) [17][3020/3757] lr: 1.000e-02 eta: 22:56:19 time: 1.025 data_time: 0.007 memory: 5150 grad_norm: 6.0929 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3762 loss: 2.3762 2022/06/27 23:45:10 - mmengine - INFO - Epoch(train) [17][3040/3757] lr: 1.000e-02 eta: 22:56:13 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4791 loss: 2.4791 2022/06/27 23:45:15 - mmengine - INFO - Epoch(train) [17][3060/3757] lr: 1.000e-02 eta: 22:56:08 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.8378 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 2.4672 loss: 2.4672 2022/06/27 23:45:21 - mmengine - INFO - Epoch(train) [17][3080/3757] lr: 1.000e-02 eta: 22:56:04 time: 0.985 data_time: 0.007 memory: 5150 grad_norm: 6.1069 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1775 loss: 2.1775 2022/06/27 23:45:25 - mmengine - INFO - Epoch(train) [17][3100/3757] lr: 1.000e-02 eta: 22:55:56 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 5.4286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/06/27 23:45:31 - mmengine - INFO - Epoch(train) [17][3120/3757] lr: 1.000e-02 eta: 22:55:51 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.4521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/06/27 23:45:36 - mmengine - INFO - Epoch(train) [17][3140/3757] lr: 1.000e-02 eta: 22:55:44 time: 0.490 data_time: 0.008 memory: 5150 grad_norm: 5.9387 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1338 loss: 2.1338 2022/06/27 23:45:41 - mmengine - INFO - Epoch(train) [17][3160/3757] lr: 1.000e-02 eta: 22:55:38 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 5.0303 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3318 loss: 2.3318 2022/06/27 23:45:46 - mmengine - INFO - Epoch(train) [17][3180/3757] lr: 1.000e-02 eta: 22:55:33 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4755 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9006 loss: 1.9006 2022/06/27 23:45:52 - mmengine - INFO - Epoch(train) [17][3200/3757] lr: 1.000e-02 eta: 22:55:32 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.5761 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0026 loss: 2.0026 2022/06/27 23:45:57 - mmengine - INFO - Epoch(train) [17][3220/3757] lr: 1.000e-02 eta: 22:55:25 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 4.8038 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2958 loss: 2.2958 2022/06/27 23:46:03 - mmengine - INFO - Epoch(train) [17][3240/3757] lr: 1.000e-02 eta: 22:55:20 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1385 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8622 loss: 2.8622 2022/06/27 23:46:08 - mmengine - INFO - Epoch(train) [17][3260/3757] lr: 1.000e-02 eta: 22:55:17 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.2414 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.6326 loss: 2.6326 2022/06/27 23:46:14 - mmengine - INFO - Epoch(train) [17][3280/3757] lr: 1.000e-02 eta: 22:55:11 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.6168 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4889 loss: 2.4889 2022/06/27 23:46:19 - mmengine - INFO - Epoch(train) [17][3300/3757] lr: 1.000e-02 eta: 22:55:07 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.4544 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4071 loss: 2.4071 2022/06/27 23:46:25 - mmengine - INFO - Epoch(train) [17][3320/3757] lr: 1.000e-02 eta: 22:55:05 time: 0.220 data_time: 0.006 memory: 5150 grad_norm: 5.6285 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2992 loss: 2.2992 2022/06/27 23:46:29 - mmengine - INFO - Epoch(train) [17][3340/3757] lr: 1.000e-02 eta: 22:54:54 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.6274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3746 loss: 2.3746 2022/06/27 23:46:34 - mmengine - INFO - Epoch(train) [17][3360/3757] lr: 1.000e-02 eta: 22:54:49 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.4840 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3194 loss: 2.3194 2022/06/27 23:46:40 - mmengine - INFO - Epoch(train) [17][3380/3757] lr: 1.000e-02 eta: 22:54:45 time: 0.314 data_time: 0.009 memory: 5150 grad_norm: 4.9377 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0108 loss: 2.0108 2022/06/27 23:46:46 - mmengine - INFO - Epoch(train) [17][3400/3757] lr: 1.000e-02 eta: 22:54:41 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.5182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9968 loss: 1.9968 2022/06/27 23:46:51 - mmengine - INFO - Epoch(train) [17][3420/3757] lr: 1.000e-02 eta: 22:54:35 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.2330 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2016 loss: 2.2016 2022/06/27 23:46:56 - mmengine - INFO - Epoch(train) [17][3440/3757] lr: 1.000e-02 eta: 22:54:30 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 4.6349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7866 loss: 1.7866 2022/06/27 23:47:01 - mmengine - INFO - Epoch(train) [17][3460/3757] lr: 1.000e-02 eta: 22:54:25 time: 0.219 data_time: 0.019 memory: 5150 grad_norm: 5.7929 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8556 loss: 1.8556 2022/06/27 23:47:07 - mmengine - INFO - Epoch(train) [17][3480/3757] lr: 1.000e-02 eta: 22:54:21 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.7096 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1267 loss: 2.1267 2022/06/27 23:47:12 - mmengine - INFO - Epoch(train) [17][3500/3757] lr: 1.000e-02 eta: 22:54:16 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5690 loss: 2.5690 2022/06/27 23:47:17 - mmengine - INFO - Epoch(train) [17][3520/3757] lr: 1.000e-02 eta: 22:54:09 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.7755 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2390 loss: 2.2390 2022/06/27 23:47:23 - mmengine - INFO - Epoch(train) [17][3540/3757] lr: 1.000e-02 eta: 22:54:04 time: 0.203 data_time: 0.022 memory: 5150 grad_norm: 5.9943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0600 loss: 2.0600 2022/06/27 23:47:28 - mmengine - INFO - Epoch(train) [17][3560/3757] lr: 1.000e-02 eta: 22:54:01 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.3893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0552 loss: 2.0552 2022/06/27 23:47:33 - mmengine - INFO - Epoch(train) [17][3580/3757] lr: 1.000e-02 eta: 22:53:54 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 5.8289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6722 loss: 2.6722 2022/06/27 23:47:38 - mmengine - INFO - Epoch(train) [17][3600/3757] lr: 1.000e-02 eta: 22:53:48 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.3207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6477 loss: 1.6477 2022/06/27 23:47:44 - mmengine - INFO - Epoch(train) [17][3620/3757] lr: 1.000e-02 eta: 22:53:45 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.4670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3078 loss: 2.3078 2022/06/27 23:47:49 - mmengine - INFO - Epoch(train) [17][3640/3757] lr: 1.000e-02 eta: 22:53:37 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 5.3558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2745 loss: 2.2745 2022/06/27 23:47:55 - mmengine - INFO - Epoch(train) [17][3660/3757] lr: 1.000e-02 eta: 22:53:35 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3324 loss: 2.3324 2022/06/27 23:48:00 - mmengine - INFO - Epoch(train) [17][3680/3757] lr: 1.000e-02 eta: 22:53:28 time: 0.485 data_time: 0.007 memory: 5150 grad_norm: 5.5523 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9712 loss: 1.9712 2022/06/27 23:48:05 - mmengine - INFO - Epoch(train) [17][3700/3757] lr: 1.000e-02 eta: 22:53:21 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.3897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2679 loss: 2.2679 2022/06/27 23:48:10 - mmengine - INFO - Epoch(train) [17][3720/3757] lr: 1.000e-02 eta: 22:53:15 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9871 loss: 1.9871 2022/06/27 23:48:15 - mmengine - INFO - Epoch(train) [17][3740/3757] lr: 1.000e-02 eta: 22:53:11 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 5.2234 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0089 loss: 2.0089 2022/06/27 23:48:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:48:52 - mmengine - INFO - Epoch(val) [17][20/310] eta: 0:05:47 time: 1.037 data_time: 0.412 memory: 9746 2022/06/27 23:49:14 - mmengine - INFO - Epoch(val) [17][40/310] eta: 0:04:44 time: 0.989 data_time: 0.340 memory: 9746 2022/06/27 23:49:37 - mmengine - INFO - Epoch(val) [17][60/310] eta: 0:04:17 time: 1.100 data_time: 0.456 memory: 9746 2022/06/27 23:50:00 - mmengine - INFO - Epoch(val) [17][80/310] eta: 0:04:42 time: 0.968 data_time: 0.343 memory: 9746 2022/06/27 23:50:24 - mmengine - INFO - Epoch(val) [17][100/310] eta: 0:04:07 time: 2.223 data_time: 1.593 memory: 9746 2022/06/27 23:50:45 - mmengine - INFO - Epoch(val) [17][120/310] eta: 0:03:21 time: 1.087 data_time: 0.462 memory: 9746 2022/06/27 23:51:10 - mmengine - INFO - Epoch(val) [17][140/310] eta: 0:03:27 time: 1.008 data_time: 0.370 memory: 9746 2022/06/27 23:51:35 - mmengine - INFO - Epoch(val) [17][160/310] eta: 0:03:16 time: 3.281 data_time: 2.608 memory: 9746 2022/06/27 23:51:58 - mmengine - INFO - Epoch(val) [17][180/310] eta: 0:02:44 time: 0.998 data_time: 0.343 memory: 9746 2022/06/27 23:52:20 - mmengine - INFO - Epoch(val) [17][200/310] eta: 0:02:02 time: 1.123 data_time: 0.493 memory: 9746 2022/06/27 23:52:41 - mmengine - INFO - Epoch(val) [17][220/310] eta: 0:01:35 time: 1.211 data_time: 0.552 memory: 9746 2022/06/27 23:53:03 - mmengine - INFO - Epoch(val) [17][240/310] eta: 0:01:17 time: 1.069 data_time: 0.426 memory: 9746 2022/06/27 23:53:25 - mmengine - INFO - Epoch(val) [17][260/310] eta: 0:00:57 time: 1.029 data_time: 0.372 memory: 9746 2022/06/27 23:53:49 - mmengine - INFO - Epoch(val) [17][280/310] eta: 0:00:33 time: 1.754 data_time: 1.128 memory: 9746 2022/06/27 23:54:08 - mmengine - INFO - Epoch(val) [17][300/310] eta: 0:00:09 time: 0.687 data_time: 0.100 memory: 9746 2022/06/27 23:54:21 - mmengine - INFO - Epoch(val) [17][310/310] acc/top1: 0.5824 acc/top5: 0.8238 acc/mean1: 0.5823 2022/06/27 23:54:29 - mmengine - INFO - Epoch(train) [18][20/3757] lr: 1.000e-02 eta: 22:53:03 time: 0.193 data_time: 0.011 memory: 9746 grad_norm: 5.4687 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0694 loss: 2.0694 2022/06/27 23:54:35 - mmengine - INFO - Epoch(train) [18][40/3757] lr: 1.000e-02 eta: 22:53:01 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.2022 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9403 loss: 1.9403 2022/06/27 23:54:40 - mmengine - INFO - Epoch(train) [18][60/3757] lr: 1.000e-02 eta: 22:52:55 time: 0.278 data_time: 0.008 memory: 5150 grad_norm: 5.6142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9627 loss: 1.9627 2022/06/27 23:54:46 - mmengine - INFO - Epoch(train) [18][80/3757] lr: 1.000e-02 eta: 22:52:50 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.2343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0531 loss: 2.0531 2022/06/27 23:54:52 - mmengine - INFO - Epoch(train) [18][100/3757] lr: 1.000e-02 eta: 22:52:48 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 5.4755 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2857 loss: 2.2857 2022/06/27 23:54:57 - mmengine - INFO - Epoch(train) [18][120/3757] lr: 1.000e-02 eta: 22:52:42 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.5729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6242 loss: 2.6242 2022/06/27 23:55:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:55:03 - mmengine - INFO - Epoch(train) [18][140/3757] lr: 1.000e-02 eta: 22:52:38 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.2569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9433 loss: 1.9433 2022/06/27 23:55:09 - mmengine - INFO - Epoch(train) [18][160/3757] lr: 1.000e-02 eta: 22:52:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.5681 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2536 loss: 2.2536 2022/06/27 23:55:13 - mmengine - INFO - Epoch(train) [18][180/3757] lr: 1.000e-02 eta: 22:52:29 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1218 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5343 loss: 2.5343 2022/06/27 23:55:19 - mmengine - INFO - Epoch(train) [18][200/3757] lr: 1.000e-02 eta: 22:52:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.7679 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1095 loss: 2.1095 2022/06/27 23:55:24 - mmengine - INFO - Epoch(train) [18][220/3757] lr: 1.000e-02 eta: 22:52:20 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.7144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9993 loss: 1.9993 2022/06/27 23:55:29 - mmengine - INFO - Epoch(train) [18][240/3757] lr: 1.000e-02 eta: 22:52:12 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 5.7675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2890 loss: 2.2890 2022/06/27 23:55:35 - mmengine - INFO - Epoch(train) [18][260/3757] lr: 1.000e-02 eta: 22:52:09 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.0218 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8724 loss: 1.8724 2022/06/27 23:55:40 - mmengine - INFO - Epoch(train) [18][280/3757] lr: 1.000e-02 eta: 22:52:05 time: 0.326 data_time: 0.033 memory: 5150 grad_norm: 4.7787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9847 loss: 1.9847 2022/06/27 23:55:45 - mmengine - INFO - Epoch(train) [18][300/3757] lr: 1.000e-02 eta: 22:51:56 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.9398 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4616 loss: 2.4616 2022/06/27 23:55:50 - mmengine - INFO - Epoch(train) [18][320/3757] lr: 1.000e-02 eta: 22:51:52 time: 0.242 data_time: 0.008 memory: 5150 grad_norm: 5.8148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3301 loss: 2.3301 2022/06/27 23:55:56 - mmengine - INFO - Epoch(train) [18][340/3757] lr: 1.000e-02 eta: 22:51:49 time: 0.201 data_time: 0.028 memory: 5150 grad_norm: 5.3241 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.1522 loss: 2.1522 2022/06/27 23:56:01 - mmengine - INFO - Epoch(train) [18][360/3757] lr: 1.000e-02 eta: 22:51:43 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0281 loss: 2.0281 2022/06/27 23:56:06 - mmengine - INFO - Epoch(train) [18][380/3757] lr: 1.000e-02 eta: 22:51:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7813 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1142 loss: 2.1142 2022/06/27 23:56:12 - mmengine - INFO - Epoch(train) [18][400/3757] lr: 1.000e-02 eta: 22:51:33 time: 0.203 data_time: 0.034 memory: 5150 grad_norm: 5.5349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0302 loss: 2.0302 2022/06/27 23:56:17 - mmengine - INFO - Epoch(train) [18][420/3757] lr: 1.000e-02 eta: 22:51:25 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.0441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2015 loss: 2.2015 2022/06/27 23:56:22 - mmengine - INFO - Epoch(train) [18][440/3757] lr: 1.000e-02 eta: 22:51:21 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.5511 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7616 loss: 1.7616 2022/06/27 23:56:28 - mmengine - INFO - Epoch(train) [18][460/3757] lr: 1.000e-02 eta: 22:51:17 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 6.0066 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1405 loss: 2.1405 2022/06/27 23:56:33 - mmengine - INFO - Epoch(train) [18][480/3757] lr: 1.000e-02 eta: 22:51:11 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5106 loss: 2.5106 2022/06/27 23:56:38 - mmengine - INFO - Epoch(train) [18][500/3757] lr: 1.000e-02 eta: 22:51:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8189 loss: 1.8189 2022/06/27 23:56:44 - mmengine - INFO - Epoch(train) [18][520/3757] lr: 1.000e-02 eta: 22:51:03 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 6.0827 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2611 loss: 2.2611 2022/06/27 23:56:49 - mmengine - INFO - Epoch(train) [18][540/3757] lr: 1.000e-02 eta: 22:50:56 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.9363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2722 loss: 2.2722 2022/06/27 23:56:54 - mmengine - INFO - Epoch(train) [18][560/3757] lr: 1.000e-02 eta: 22:50:51 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0910 loss: 2.0910 2022/06/27 23:57:00 - mmengine - INFO - Epoch(train) [18][580/3757] lr: 1.000e-02 eta: 22:50:46 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5736 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0169 loss: 2.0169 2022/06/27 23:57:05 - mmengine - INFO - Epoch(train) [18][600/3757] lr: 1.000e-02 eta: 22:50:40 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.1904 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1195 loss: 2.1195 2022/06/27 23:57:10 - mmengine - INFO - Epoch(train) [18][620/3757] lr: 1.000e-02 eta: 22:50:36 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.8442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2577 loss: 2.2577 2022/06/27 23:57:16 - mmengine - INFO - Epoch(train) [18][640/3757] lr: 1.000e-02 eta: 22:50:31 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0768 loss: 2.0768 2022/06/27 23:57:21 - mmengine - INFO - Epoch(train) [18][660/3757] lr: 1.000e-02 eta: 22:50:26 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 5.5808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9671 loss: 1.9671 2022/06/27 23:57:27 - mmengine - INFO - Epoch(train) [18][680/3757] lr: 1.000e-02 eta: 22:50:22 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4618 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1418 loss: 2.1418 2022/06/27 23:57:32 - mmengine - INFO - Epoch(train) [18][700/3757] lr: 1.000e-02 eta: 22:50:17 time: 0.258 data_time: 0.008 memory: 5150 grad_norm: 5.0246 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1841 loss: 2.1841 2022/06/27 23:57:37 - mmengine - INFO - Epoch(train) [18][720/3757] lr: 1.000e-02 eta: 22:50:12 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.3085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5174 loss: 2.5174 2022/06/27 23:57:43 - mmengine - INFO - Epoch(train) [18][740/3757] lr: 1.000e-02 eta: 22:50:07 time: 0.190 data_time: 0.008 memory: 5150 grad_norm: 5.3457 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1908 loss: 2.1908 2022/06/27 23:57:48 - mmengine - INFO - Epoch(train) [18][760/3757] lr: 1.000e-02 eta: 22:50:02 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5784 loss: 2.5784 2022/06/27 23:57:53 - mmengine - INFO - Epoch(train) [18][780/3757] lr: 1.000e-02 eta: 22:49:56 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.2550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3139 loss: 2.3139 2022/06/27 23:57:59 - mmengine - INFO - Epoch(train) [18][800/3757] lr: 1.000e-02 eta: 22:49:52 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7938 loss: 1.7938 2022/06/27 23:58:04 - mmengine - INFO - Epoch(train) [18][820/3757] lr: 1.000e-02 eta: 22:49:47 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6552 loss: 2.6552 2022/06/27 23:58:09 - mmengine - INFO - Epoch(train) [18][840/3757] lr: 1.000e-02 eta: 22:49:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.1156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9392 loss: 1.9392 2022/06/27 23:58:15 - mmengine - INFO - Epoch(train) [18][860/3757] lr: 1.000e-02 eta: 22:49:36 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8059 loss: 1.8059 2022/06/27 23:58:20 - mmengine - INFO - Epoch(train) [18][880/3757] lr: 1.000e-02 eta: 22:49:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.0021 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4761 loss: 2.4761 2022/06/27 23:58:26 - mmengine - INFO - Epoch(train) [18][900/3757] lr: 1.000e-02 eta: 22:49:28 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.5497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9377 loss: 1.9377 2022/06/27 23:58:31 - mmengine - INFO - Epoch(train) [18][920/3757] lr: 1.000e-02 eta: 22:49:24 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3088 loss: 2.3088 2022/06/27 23:58:37 - mmengine - INFO - Epoch(train) [18][940/3757] lr: 1.000e-02 eta: 22:49:21 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.2293 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1550 loss: 2.1550 2022/06/27 23:58:42 - mmengine - INFO - Epoch(train) [18][960/3757] lr: 1.000e-02 eta: 22:49:14 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.7812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4062 loss: 2.4062 2022/06/27 23:58:47 - mmengine - INFO - Epoch(train) [18][980/3757] lr: 1.000e-02 eta: 22:49:07 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.2962 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5036 loss: 2.5036 2022/06/27 23:58:52 - mmengine - INFO - Epoch(train) [18][1000/3757] lr: 1.000e-02 eta: 22:49:02 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.1405 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1853 loss: 2.1853 2022/06/27 23:58:57 - mmengine - INFO - Epoch(train) [18][1020/3757] lr: 1.000e-02 eta: 22:48:55 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 4.9758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2330 loss: 2.2330 2022/06/27 23:59:03 - mmengine - INFO - Epoch(train) [18][1040/3757] lr: 1.000e-02 eta: 22:48:54 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.3690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9443 loss: 1.9443 2022/06/27 23:59:08 - mmengine - INFO - Epoch(train) [18][1060/3757] lr: 1.000e-02 eta: 22:48:44 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.1035 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2408 loss: 2.2408 2022/06/27 23:59:13 - mmengine - INFO - Epoch(train) [18][1080/3757] lr: 1.000e-02 eta: 22:48:38 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.0218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2341 loss: 2.2341 2022/06/27 23:59:18 - mmengine - INFO - Epoch(train) [18][1100/3757] lr: 1.000e-02 eta: 22:48:33 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 5.2985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3792 loss: 2.3792 2022/06/27 23:59:24 - mmengine - INFO - Epoch(train) [18][1120/3757] lr: 1.000e-02 eta: 22:48:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9439 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5883 loss: 2.5883 2022/06/27 23:59:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/27 23:59:29 - mmengine - INFO - Epoch(train) [18][1140/3757] lr: 1.000e-02 eta: 22:48:23 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.5186 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8241 loss: 1.8241 2022/06/27 23:59:35 - mmengine - INFO - Epoch(train) [18][1160/3757] lr: 1.000e-02 eta: 22:48:21 time: 0.201 data_time: 0.026 memory: 5150 grad_norm: 5.2059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8964 loss: 1.8964 2022/06/27 23:59:40 - mmengine - INFO - Epoch(train) [18][1180/3757] lr: 1.000e-02 eta: 22:48:14 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 5.2236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3935 loss: 2.3935 2022/06/27 23:59:45 - mmengine - INFO - Epoch(train) [18][1200/3757] lr: 1.000e-02 eta: 22:48:09 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 4.7929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1515 loss: 2.1515 2022/06/27 23:59:51 - mmengine - INFO - Epoch(train) [18][1220/3757] lr: 1.000e-02 eta: 22:48:05 time: 0.283 data_time: 0.027 memory: 5150 grad_norm: 5.5523 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4642 loss: 2.4642 2022/06/27 23:59:55 - mmengine - INFO - Epoch(train) [18][1240/3757] lr: 1.000e-02 eta: 22:47:57 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.3077 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9867 loss: 1.9867 2022/06/28 00:00:01 - mmengine - INFO - Epoch(train) [18][1260/3757] lr: 1.000e-02 eta: 22:47:54 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7706 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9723 loss: 1.9723 2022/06/28 00:00:08 - mmengine - INFO - Epoch(train) [18][1280/3757] lr: 1.000e-02 eta: 22:47:56 time: 0.204 data_time: 0.031 memory: 5150 grad_norm: 5.6820 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2220 loss: 2.2220 2022/06/28 00:00:13 - mmengine - INFO - Epoch(train) [18][1300/3757] lr: 1.000e-02 eta: 22:47:49 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.1967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1690 loss: 2.1690 2022/06/28 00:00:19 - mmengine - INFO - Epoch(train) [18][1320/3757] lr: 1.000e-02 eta: 22:47:46 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2604 loss: 2.2604 2022/06/28 00:00:24 - mmengine - INFO - Epoch(train) [18][1340/3757] lr: 1.000e-02 eta: 22:47:42 time: 0.204 data_time: 0.032 memory: 5150 grad_norm: 5.3736 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2518 loss: 2.2518 2022/06/28 00:00:29 - mmengine - INFO - Epoch(train) [18][1360/3757] lr: 1.000e-02 eta: 22:47:36 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 5.0033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9016 loss: 1.9016 2022/06/28 00:00:34 - mmengine - INFO - Epoch(train) [18][1380/3757] lr: 1.000e-02 eta: 22:47:29 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1458 loss: 2.1458 2022/06/28 00:00:40 - mmengine - INFO - Epoch(train) [18][1400/3757] lr: 1.000e-02 eta: 22:47:26 time: 0.197 data_time: 0.022 memory: 5150 grad_norm: 5.5818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1562 loss: 2.1562 2022/06/28 00:00:45 - mmengine - INFO - Epoch(train) [18][1420/3757] lr: 1.000e-02 eta: 22:47:18 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.5305 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0749 loss: 2.0749 2022/06/28 00:00:51 - mmengine - INFO - Epoch(train) [18][1440/3757] lr: 1.000e-02 eta: 22:47:15 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.5695 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6526 loss: 2.6526 2022/06/28 00:00:56 - mmengine - INFO - Epoch(train) [18][1460/3757] lr: 1.000e-02 eta: 22:47:10 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 5.4474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5934 loss: 1.5934 2022/06/28 00:01:01 - mmengine - INFO - Epoch(train) [18][1480/3757] lr: 1.000e-02 eta: 22:47:04 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4402 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6938 loss: 2.6938 2022/06/28 00:01:07 - mmengine - INFO - Epoch(train) [18][1500/3757] lr: 1.000e-02 eta: 22:47:00 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 4.4083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1398 loss: 2.1398 2022/06/28 00:01:12 - mmengine - INFO - Epoch(train) [18][1520/3757] lr: 1.000e-02 eta: 22:46:56 time: 0.207 data_time: 0.027 memory: 5150 grad_norm: 5.1538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9556 loss: 1.9556 2022/06/28 00:01:17 - mmengine - INFO - Epoch(train) [18][1540/3757] lr: 1.000e-02 eta: 22:46:50 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 5.3145 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7505 loss: 1.7505 2022/06/28 00:01:23 - mmengine - INFO - Epoch(train) [18][1560/3757] lr: 1.000e-02 eta: 22:46:45 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.3517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1274 loss: 2.1274 2022/06/28 00:01:28 - mmengine - INFO - Epoch(train) [18][1580/3757] lr: 1.000e-02 eta: 22:46:38 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.7038 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3384 loss: 2.3384 2022/06/28 00:01:33 - mmengine - INFO - Epoch(train) [18][1600/3757] lr: 1.000e-02 eta: 22:46:35 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3077 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3916 loss: 2.3916 2022/06/28 00:01:39 - mmengine - INFO - Epoch(train) [18][1620/3757] lr: 1.000e-02 eta: 22:46:30 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2425 loss: 2.2425 2022/06/28 00:01:44 - mmengine - INFO - Epoch(train) [18][1640/3757] lr: 1.000e-02 eta: 22:46:23 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5568 loss: 2.5568 2022/06/28 00:01:50 - mmengine - INFO - Epoch(train) [18][1660/3757] lr: 1.000e-02 eta: 22:46:21 time: 0.702 data_time: 0.010 memory: 5150 grad_norm: 4.9272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6094 loss: 2.6094 2022/06/28 00:01:55 - mmengine - INFO - Epoch(train) [18][1680/3757] lr: 1.000e-02 eta: 22:46:14 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9431 loss: 1.9431 2022/06/28 00:02:00 - mmengine - INFO - Epoch(train) [18][1700/3757] lr: 1.000e-02 eta: 22:46:09 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.6102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2671 loss: 2.2671 2022/06/28 00:02:06 - mmengine - INFO - Epoch(train) [18][1720/3757] lr: 1.000e-02 eta: 22:46:06 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.2774 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9754 loss: 1.9754 2022/06/28 00:02:10 - mmengine - INFO - Epoch(train) [18][1740/3757] lr: 1.000e-02 eta: 22:45:58 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.0815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1528 loss: 2.1528 2022/06/28 00:02:15 - mmengine - INFO - Epoch(train) [18][1760/3757] lr: 1.000e-02 eta: 22:45:50 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.8230 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3278 loss: 2.3278 2022/06/28 00:02:21 - mmengine - INFO - Epoch(train) [18][1780/3757] lr: 1.000e-02 eta: 22:45:47 time: 0.266 data_time: 0.011 memory: 5150 grad_norm: 5.7531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7523 loss: 1.7523 2022/06/28 00:02:27 - mmengine - INFO - Epoch(train) [18][1800/3757] lr: 1.000e-02 eta: 22:45:43 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.3940 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2014 loss: 2.2014 2022/06/28 00:02:32 - mmengine - INFO - Epoch(train) [18][1820/3757] lr: 1.000e-02 eta: 22:45:37 time: 0.189 data_time: 0.019 memory: 5150 grad_norm: 4.7550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0996 loss: 2.0996 2022/06/28 00:02:37 - mmengine - INFO - Epoch(train) [18][1840/3757] lr: 1.000e-02 eta: 22:45:34 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.6754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0359 loss: 2.0359 2022/06/28 00:02:42 - mmengine - INFO - Epoch(train) [18][1860/3757] lr: 1.000e-02 eta: 22:45:27 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.5034 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.6151 loss: 2.6151 2022/06/28 00:02:47 - mmengine - INFO - Epoch(train) [18][1880/3757] lr: 1.000e-02 eta: 22:45:20 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.8681 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2589 loss: 2.2589 2022/06/28 00:02:53 - mmengine - INFO - Epoch(train) [18][1900/3757] lr: 1.000e-02 eta: 22:45:15 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.5812 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2286 loss: 2.2286 2022/06/28 00:02:58 - mmengine - INFO - Epoch(train) [18][1920/3757] lr: 1.000e-02 eta: 22:45:10 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.5469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3268 loss: 2.3268 2022/06/28 00:03:03 - mmengine - INFO - Epoch(train) [18][1940/3757] lr: 1.000e-02 eta: 22:45:05 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 6.2159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3082 loss: 2.3082 2022/06/28 00:03:09 - mmengine - INFO - Epoch(train) [18][1960/3757] lr: 1.000e-02 eta: 22:45:02 time: 0.588 data_time: 0.007 memory: 5150 grad_norm: 5.3733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1370 loss: 2.1370 2022/06/28 00:03:14 - mmengine - INFO - Epoch(train) [18][1980/3757] lr: 1.000e-02 eta: 22:44:53 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.6283 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0522 loss: 2.0522 2022/06/28 00:03:19 - mmengine - INFO - Epoch(train) [18][2000/3757] lr: 1.000e-02 eta: 22:44:49 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.3809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4752 loss: 2.4752 2022/06/28 00:03:25 - mmengine - INFO - Epoch(train) [18][2020/3757] lr: 1.000e-02 eta: 22:44:45 time: 0.321 data_time: 0.007 memory: 5150 grad_norm: 5.4451 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4766 loss: 2.4766 2022/06/28 00:03:30 - mmengine - INFO - Epoch(train) [18][2040/3757] lr: 1.000e-02 eta: 22:44:39 time: 0.359 data_time: 0.007 memory: 5150 grad_norm: 6.3151 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2999 loss: 2.2999 2022/06/28 00:03:35 - mmengine - INFO - Epoch(train) [18][2060/3757] lr: 1.000e-02 eta: 22:44:34 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.5440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0253 loss: 2.0253 2022/06/28 00:03:41 - mmengine - INFO - Epoch(train) [18][2080/3757] lr: 1.000e-02 eta: 22:44:30 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.3870 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9805 loss: 1.9805 2022/06/28 00:03:46 - mmengine - INFO - Epoch(train) [18][2100/3757] lr: 1.000e-02 eta: 22:44:24 time: 0.557 data_time: 0.007 memory: 5150 grad_norm: 5.2967 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8749 loss: 1.8749 2022/06/28 00:03:52 - mmengine - INFO - Epoch(train) [18][2120/3757] lr: 1.000e-02 eta: 22:44:20 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.8359 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0807 loss: 2.0807 2022/06/28 00:03:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:03:57 - mmengine - INFO - Epoch(train) [18][2140/3757] lr: 1.000e-02 eta: 22:44:16 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 5.0351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1312 loss: 2.1312 2022/06/28 00:04:03 - mmengine - INFO - Epoch(train) [18][2160/3757] lr: 1.000e-02 eta: 22:44:12 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.3419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1909 loss: 2.1909 2022/06/28 00:04:08 - mmengine - INFO - Epoch(train) [18][2180/3757] lr: 1.000e-02 eta: 22:44:06 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4683 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2957 loss: 2.2957 2022/06/28 00:04:13 - mmengine - INFO - Epoch(train) [18][2200/3757] lr: 1.000e-02 eta: 22:44:01 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 5.6620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8913 loss: 1.8913 2022/06/28 00:04:18 - mmengine - INFO - Epoch(train) [18][2220/3757] lr: 1.000e-02 eta: 22:43:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2355 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8243 loss: 1.8243 2022/06/28 00:04:24 - mmengine - INFO - Epoch(train) [18][2240/3757] lr: 1.000e-02 eta: 22:43:51 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0323 loss: 2.0323 2022/06/28 00:04:30 - mmengine - INFO - Epoch(train) [18][2260/3757] lr: 1.000e-02 eta: 22:43:49 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 5.4910 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3187 loss: 2.3187 2022/06/28 00:04:34 - mmengine - INFO - Epoch(train) [18][2280/3757] lr: 1.000e-02 eta: 22:43:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3487 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0183 loss: 2.0183 2022/06/28 00:04:40 - mmengine - INFO - Epoch(train) [18][2300/3757] lr: 1.000e-02 eta: 22:43:35 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9458 loss: 1.9458 2022/06/28 00:04:45 - mmengine - INFO - Epoch(train) [18][2320/3757] lr: 1.000e-02 eta: 22:43:31 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.8300 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6281 loss: 2.6281 2022/06/28 00:04:50 - mmengine - INFO - Epoch(train) [18][2340/3757] lr: 1.000e-02 eta: 22:43:25 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 5.6204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0061 loss: 2.0061 2022/06/28 00:04:56 - mmengine - INFO - Epoch(train) [18][2360/3757] lr: 1.000e-02 eta: 22:43:21 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.7680 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9669 loss: 1.9669 2022/06/28 00:05:01 - mmengine - INFO - Epoch(train) [18][2380/3757] lr: 1.000e-02 eta: 22:43:16 time: 0.323 data_time: 0.007 memory: 5150 grad_norm: 5.8024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3928 loss: 2.3928 2022/06/28 00:05:07 - mmengine - INFO - Epoch(train) [18][2400/3757] lr: 1.000e-02 eta: 22:43:11 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.2715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8909 loss: 1.8909 2022/06/28 00:05:12 - mmengine - INFO - Epoch(train) [18][2420/3757] lr: 1.000e-02 eta: 22:43:04 time: 0.338 data_time: 0.011 memory: 5150 grad_norm: 4.9615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3358 loss: 2.3358 2022/06/28 00:05:17 - mmengine - INFO - Epoch(train) [18][2440/3757] lr: 1.000e-02 eta: 22:42:59 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.5181 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2477 loss: 2.2477 2022/06/28 00:05:22 - mmengine - INFO - Epoch(train) [18][2460/3757] lr: 1.000e-02 eta: 22:42:52 time: 0.243 data_time: 0.015 memory: 5150 grad_norm: 5.5672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2596 loss: 2.2596 2022/06/28 00:05:27 - mmengine - INFO - Epoch(train) [18][2480/3757] lr: 1.000e-02 eta: 22:42:45 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.4110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0519 loss: 2.0519 2022/06/28 00:05:33 - mmengine - INFO - Epoch(train) [18][2500/3757] lr: 1.000e-02 eta: 22:42:44 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 4.8712 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0651 loss: 2.0651 2022/06/28 00:05:38 - mmengine - INFO - Epoch(train) [18][2520/3757] lr: 1.000e-02 eta: 22:42:37 time: 0.514 data_time: 0.010 memory: 5150 grad_norm: 5.8965 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1637 loss: 2.1637 2022/06/28 00:05:43 - mmengine - INFO - Epoch(train) [18][2540/3757] lr: 1.000e-02 eta: 22:42:31 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5390 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1732 loss: 2.1732 2022/06/28 00:05:49 - mmengine - INFO - Epoch(train) [18][2560/3757] lr: 1.000e-02 eta: 22:42:28 time: 0.569 data_time: 0.007 memory: 5150 grad_norm: 5.6384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5149 loss: 2.5149 2022/06/28 00:05:54 - mmengine - INFO - Epoch(train) [18][2580/3757] lr: 1.000e-02 eta: 22:42:23 time: 0.522 data_time: 0.009 memory: 5150 grad_norm: 5.1616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8031 loss: 1.8031 2022/06/28 00:05:59 - mmengine - INFO - Epoch(train) [18][2600/3757] lr: 1.000e-02 eta: 22:42:15 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2374 loss: 2.2374 2022/06/28 00:06:04 - mmengine - INFO - Epoch(train) [18][2620/3757] lr: 1.000e-02 eta: 22:42:09 time: 0.219 data_time: 0.006 memory: 5150 grad_norm: 5.9173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9534 loss: 1.9534 2022/06/28 00:06:09 - mmengine - INFO - Epoch(train) [18][2640/3757] lr: 1.000e-02 eta: 22:42:03 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 5.5805 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0400 loss: 2.0400 2022/06/28 00:06:15 - mmengine - INFO - Epoch(train) [18][2660/3757] lr: 1.000e-02 eta: 22:41:59 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4415 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.7783 loss: 2.7783 2022/06/28 00:06:20 - mmengine - INFO - Epoch(train) [18][2680/3757] lr: 1.000e-02 eta: 22:41:53 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 5.5846 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1700 loss: 2.1700 2022/06/28 00:06:25 - mmengine - INFO - Epoch(train) [18][2700/3757] lr: 1.000e-02 eta: 22:41:48 time: 0.482 data_time: 0.010 memory: 5150 grad_norm: 5.6568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5242 loss: 2.5242 2022/06/28 00:06:30 - mmengine - INFO - Epoch(train) [18][2720/3757] lr: 1.000e-02 eta: 22:41:42 time: 0.190 data_time: 0.012 memory: 5150 grad_norm: 5.3221 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6536 loss: 2.6536 2022/06/28 00:06:36 - mmengine - INFO - Epoch(train) [18][2740/3757] lr: 1.000e-02 eta: 22:41:36 time: 0.224 data_time: 0.006 memory: 5150 grad_norm: 5.6570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3989 loss: 2.3989 2022/06/28 00:06:41 - mmengine - INFO - Epoch(train) [18][2760/3757] lr: 1.000e-02 eta: 22:41:31 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.1238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3843 loss: 2.3843 2022/06/28 00:06:46 - mmengine - INFO - Epoch(train) [18][2780/3757] lr: 1.000e-02 eta: 22:41:27 time: 0.680 data_time: 0.010 memory: 5150 grad_norm: 5.0009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1352 loss: 2.1352 2022/06/28 00:06:51 - mmengine - INFO - Epoch(train) [18][2800/3757] lr: 1.000e-02 eta: 22:41:19 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 5.3615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6019 loss: 2.6019 2022/06/28 00:06:57 - mmengine - INFO - Epoch(train) [18][2820/3757] lr: 1.000e-02 eta: 22:41:14 time: 0.342 data_time: 0.012 memory: 5150 grad_norm: 5.3480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1269 loss: 2.1269 2022/06/28 00:07:02 - mmengine - INFO - Epoch(train) [18][2840/3757] lr: 1.000e-02 eta: 22:41:11 time: 0.523 data_time: 0.009 memory: 5150 grad_norm: 6.0443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9533 loss: 1.9533 2022/06/28 00:07:07 - mmengine - INFO - Epoch(train) [18][2860/3757] lr: 1.000e-02 eta: 22:41:04 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.3845 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2510 loss: 2.2510 2022/06/28 00:07:13 - mmengine - INFO - Epoch(train) [18][2880/3757] lr: 1.000e-02 eta: 22:40:59 time: 0.217 data_time: 0.006 memory: 5150 grad_norm: 4.9623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3514 loss: 2.3514 2022/06/28 00:07:18 - mmengine - INFO - Epoch(train) [18][2900/3757] lr: 1.000e-02 eta: 22:40:55 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2549 loss: 2.2549 2022/06/28 00:07:23 - mmengine - INFO - Epoch(train) [18][2920/3757] lr: 1.000e-02 eta: 22:40:48 time: 0.231 data_time: 0.006 memory: 5150 grad_norm: 5.6476 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4502 loss: 2.4502 2022/06/28 00:07:28 - mmengine - INFO - Epoch(train) [18][2940/3757] lr: 1.000e-02 eta: 22:40:42 time: 0.206 data_time: 0.021 memory: 5150 grad_norm: 5.5068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8483 loss: 1.8483 2022/06/28 00:07:34 - mmengine - INFO - Epoch(train) [18][2960/3757] lr: 1.000e-02 eta: 22:40:38 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8693 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2135 loss: 2.2135 2022/06/28 00:07:39 - mmengine - INFO - Epoch(train) [18][2980/3757] lr: 1.000e-02 eta: 22:40:31 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.8848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2743 loss: 2.2743 2022/06/28 00:07:45 - mmengine - INFO - Epoch(train) [18][3000/3757] lr: 1.000e-02 eta: 22:40:28 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/06/28 00:07:50 - mmengine - INFO - Epoch(train) [18][3020/3757] lr: 1.000e-02 eta: 22:40:23 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.3798 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2260 loss: 2.2260 2022/06/28 00:07:55 - mmengine - INFO - Epoch(train) [18][3040/3757] lr: 1.000e-02 eta: 22:40:16 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 5.4582 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1655 loss: 2.1655 2022/06/28 00:08:00 - mmengine - INFO - Epoch(train) [18][3060/3757] lr: 1.000e-02 eta: 22:40:11 time: 0.199 data_time: 0.022 memory: 5150 grad_norm: 5.3824 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4114 loss: 2.4114 2022/06/28 00:08:06 - mmengine - INFO - Epoch(train) [18][3080/3757] lr: 1.000e-02 eta: 22:40:06 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 5.4434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3521 loss: 2.3521 2022/06/28 00:08:11 - mmengine - INFO - Epoch(train) [18][3100/3757] lr: 1.000e-02 eta: 22:40:02 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.3755 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2407 loss: 2.2407 2022/06/28 00:08:16 - mmengine - INFO - Epoch(train) [18][3120/3757] lr: 1.000e-02 eta: 22:39:57 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 6.2987 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0520 loss: 2.0520 2022/06/28 00:08:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:08:22 - mmengine - INFO - Epoch(train) [18][3140/3757] lr: 1.000e-02 eta: 22:39:54 time: 0.435 data_time: 0.028 memory: 5150 grad_norm: 5.0910 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2292 loss: 2.2292 2022/06/28 00:08:27 - mmengine - INFO - Epoch(train) [18][3160/3757] lr: 1.000e-02 eta: 22:39:47 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 5.4685 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1918 loss: 2.1918 2022/06/28 00:08:33 - mmengine - INFO - Epoch(train) [18][3180/3757] lr: 1.000e-02 eta: 22:39:43 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5271 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4232 loss: 2.4232 2022/06/28 00:08:38 - mmengine - INFO - Epoch(train) [18][3200/3757] lr: 1.000e-02 eta: 22:39:37 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.0656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2180 loss: 2.2180 2022/06/28 00:08:43 - mmengine - INFO - Epoch(train) [18][3220/3757] lr: 1.000e-02 eta: 22:39:32 time: 0.196 data_time: 0.026 memory: 5150 grad_norm: 5.5663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9303 loss: 1.9303 2022/06/28 00:08:49 - mmengine - INFO - Epoch(train) [18][3240/3757] lr: 1.000e-02 eta: 22:39:28 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.2812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0528 loss: 2.0528 2022/06/28 00:08:54 - mmengine - INFO - Epoch(train) [18][3260/3757] lr: 1.000e-02 eta: 22:39:22 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4626 loss: 2.4626 2022/06/28 00:08:59 - mmengine - INFO - Epoch(train) [18][3280/3757] lr: 1.000e-02 eta: 22:39:15 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.8972 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9973 loss: 1.9973 2022/06/28 00:09:04 - mmengine - INFO - Epoch(train) [18][3300/3757] lr: 1.000e-02 eta: 22:39:10 time: 0.230 data_time: 0.015 memory: 5150 grad_norm: 5.8835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6418 loss: 2.6418 2022/06/28 00:09:10 - mmengine - INFO - Epoch(train) [18][3320/3757] lr: 1.000e-02 eta: 22:39:07 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6495 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3234 loss: 2.3234 2022/06/28 00:09:15 - mmengine - INFO - Epoch(train) [18][3340/3757] lr: 1.000e-02 eta: 22:39:00 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.7617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9318 loss: 1.9318 2022/06/28 00:09:20 - mmengine - INFO - Epoch(train) [18][3360/3757] lr: 1.000e-02 eta: 22:38:54 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.5024 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1458 loss: 2.1458 2022/06/28 00:09:25 - mmengine - INFO - Epoch(train) [18][3380/3757] lr: 1.000e-02 eta: 22:38:49 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.7582 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5503 loss: 2.5503 2022/06/28 00:09:31 - mmengine - INFO - Epoch(train) [18][3400/3757] lr: 1.000e-02 eta: 22:38:43 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3699 loss: 2.3699 2022/06/28 00:09:36 - mmengine - INFO - Epoch(train) [18][3420/3757] lr: 1.000e-02 eta: 22:38:38 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.7551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2734 loss: 2.2734 2022/06/28 00:09:42 - mmengine - INFO - Epoch(train) [18][3440/3757] lr: 1.000e-02 eta: 22:38:36 time: 0.413 data_time: 0.034 memory: 5150 grad_norm: 6.6093 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0828 loss: 2.0828 2022/06/28 00:09:47 - mmengine - INFO - Epoch(train) [18][3460/3757] lr: 1.000e-02 eta: 22:38:28 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 4.9514 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0494 loss: 2.0494 2022/06/28 00:09:52 - mmengine - INFO - Epoch(train) [18][3480/3757] lr: 1.000e-02 eta: 22:38:23 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.4151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2772 loss: 2.2772 2022/06/28 00:09:57 - mmengine - INFO - Epoch(train) [18][3500/3757] lr: 1.000e-02 eta: 22:38:19 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9668 loss: 1.9668 2022/06/28 00:10:02 - mmengine - INFO - Epoch(train) [18][3520/3757] lr: 1.000e-02 eta: 22:38:12 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.9770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0507 loss: 2.0507 2022/06/28 00:10:08 - mmengine - INFO - Epoch(train) [18][3540/3757] lr: 1.000e-02 eta: 22:38:09 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.0726 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0705 loss: 2.0705 2022/06/28 00:10:13 - mmengine - INFO - Epoch(train) [18][3560/3757] lr: 1.000e-02 eta: 22:38:03 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 4.4546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0476 loss: 2.0476 2022/06/28 00:10:18 - mmengine - INFO - Epoch(train) [18][3580/3757] lr: 1.000e-02 eta: 22:37:56 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.1539 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2292 loss: 2.2292 2022/06/28 00:10:24 - mmengine - INFO - Epoch(train) [18][3600/3757] lr: 1.000e-02 eta: 22:37:52 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4230 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8312 loss: 1.8312 2022/06/28 00:10:29 - mmengine - INFO - Epoch(train) [18][3620/3757] lr: 1.000e-02 eta: 22:37:45 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.2856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1405 loss: 2.1405 2022/06/28 00:10:34 - mmengine - INFO - Epoch(train) [18][3640/3757] lr: 1.000e-02 eta: 22:37:39 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.6959 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2663 loss: 2.2663 2022/06/28 00:10:39 - mmengine - INFO - Epoch(train) [18][3660/3757] lr: 1.000e-02 eta: 22:37:34 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.5448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5823 loss: 2.5823 2022/06/28 00:10:45 - mmengine - INFO - Epoch(train) [18][3680/3757] lr: 1.000e-02 eta: 22:37:32 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 4.9907 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9549 loss: 1.9549 2022/06/28 00:10:50 - mmengine - INFO - Epoch(train) [18][3700/3757] lr: 1.000e-02 eta: 22:37:24 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.1590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3525 loss: 2.3525 2022/06/28 00:10:56 - mmengine - INFO - Epoch(train) [18][3720/3757] lr: 1.000e-02 eta: 22:37:21 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.2634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2732 loss: 2.2732 2022/06/28 00:11:01 - mmengine - INFO - Epoch(train) [18][3740/3757] lr: 1.000e-02 eta: 22:37:17 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 5.8526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4217 loss: 2.4217 2022/06/28 00:11:05 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:11:38 - mmengine - INFO - Epoch(val) [18][20/310] eta: 0:05:53 time: 1.058 data_time: 0.425 memory: 9746 2022/06/28 00:12:00 - mmengine - INFO - Epoch(val) [18][40/310] eta: 0:04:52 time: 1.125 data_time: 0.486 memory: 9746 2022/06/28 00:12:23 - mmengine - INFO - Epoch(val) [18][60/310] eta: 0:04:17 time: 1.156 data_time: 0.526 memory: 9746 2022/06/28 00:12:47 - mmengine - INFO - Epoch(val) [18][80/310] eta: 0:04:51 time: 1.101 data_time: 0.446 memory: 9746 2022/06/28 00:13:10 - mmengine - INFO - Epoch(val) [18][100/310] eta: 0:04:11 time: 2.297 data_time: 1.647 memory: 9746 2022/06/28 00:13:31 - mmengine - INFO - Epoch(val) [18][120/310] eta: 0:03:15 time: 1.046 data_time: 0.405 memory: 9746 2022/06/28 00:13:57 - mmengine - INFO - Epoch(val) [18][140/310] eta: 0:03:27 time: 1.044 data_time: 0.408 memory: 9746 2022/06/28 00:14:21 - mmengine - INFO - Epoch(val) [18][160/310] eta: 0:03:16 time: 3.523 data_time: 2.840 memory: 9746 2022/06/28 00:14:44 - mmengine - INFO - Epoch(val) [18][180/310] eta: 0:02:46 time: 0.971 data_time: 0.322 memory: 9746 2022/06/28 00:15:06 - mmengine - INFO - Epoch(val) [18][200/310] eta: 0:02:05 time: 1.120 data_time: 0.481 memory: 9746 2022/06/28 00:15:28 - mmengine - INFO - Epoch(val) [18][220/310] eta: 0:01:35 time: 1.208 data_time: 0.538 memory: 9746 2022/06/28 00:15:49 - mmengine - INFO - Epoch(val) [18][240/310] eta: 0:01:18 time: 0.963 data_time: 0.326 memory: 9746 2022/06/28 00:16:12 - mmengine - INFO - Epoch(val) [18][260/310] eta: 0:00:59 time: 1.091 data_time: 0.442 memory: 9746 2022/06/28 00:16:36 - mmengine - INFO - Epoch(val) [18][280/310] eta: 0:00:34 time: 1.903 data_time: 1.250 memory: 9746 2022/06/28 00:16:55 - mmengine - INFO - Epoch(val) [18][300/310] eta: 0:00:08 time: 0.662 data_time: 0.091 memory: 9746 2022/06/28 00:17:06 - mmengine - INFO - Epoch(val) [18][310/310] acc/top1: 0.5825 acc/top5: 0.8223 acc/mean1: 0.5824 2022/06/28 00:17:15 - mmengine - INFO - Epoch(train) [19][20/3757] lr: 1.000e-02 eta: 22:37:09 time: 0.194 data_time: 0.008 memory: 9746 grad_norm: 5.5714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0028 loss: 2.0028 2022/06/28 00:17:20 - mmengine - INFO - Epoch(train) [19][40/3757] lr: 1.000e-02 eta: 22:37:06 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.6232 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4641 loss: 2.4641 2022/06/28 00:17:26 - mmengine - INFO - Epoch(train) [19][60/3757] lr: 1.000e-02 eta: 22:37:00 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 4.7345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2497 loss: 2.2497 2022/06/28 00:17:31 - mmengine - INFO - Epoch(train) [19][80/3757] lr: 1.000e-02 eta: 22:36:56 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.2420 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6342 loss: 2.6342 2022/06/28 00:17:37 - mmengine - INFO - Epoch(train) [19][100/3757] lr: 1.000e-02 eta: 22:36:52 time: 0.190 data_time: 0.006 memory: 5150 grad_norm: 5.5016 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2024 loss: 2.2024 2022/06/28 00:17:41 - mmengine - INFO - Epoch(train) [19][120/3757] lr: 1.000e-02 eta: 22:36:44 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3957 loss: 2.3957 2022/06/28 00:17:47 - mmengine - INFO - Epoch(train) [19][140/3757] lr: 1.000e-02 eta: 22:36:41 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.4301 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2775 loss: 2.2775 2022/06/28 00:17:53 - mmengine - INFO - Epoch(train) [19][160/3757] lr: 1.000e-02 eta: 22:36:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0217 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0857 loss: 2.0857 2022/06/28 00:17:58 - mmengine - INFO - Epoch(train) [19][180/3757] lr: 1.000e-02 eta: 22:36:32 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 4.8451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2551 loss: 2.2551 2022/06/28 00:18:05 - mmengine - INFO - Epoch(train) [19][200/3757] lr: 1.000e-02 eta: 22:36:33 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.2958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9189 loss: 1.9189 2022/06/28 00:18:09 - mmengine - INFO - Epoch(train) [19][220/3757] lr: 1.000e-02 eta: 22:36:23 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1950 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2322 loss: 2.2322 2022/06/28 00:18:14 - mmengine - INFO - Epoch(train) [19][240/3757] lr: 1.000e-02 eta: 22:36:16 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.3001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9123 loss: 1.9123 2022/06/28 00:18:19 - mmengine - INFO - Epoch(train) [19][260/3757] lr: 1.000e-02 eta: 22:36:11 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.2935 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4342 loss: 2.4342 2022/06/28 00:18:25 - mmengine - INFO - Epoch(train) [19][280/3757] lr: 1.000e-02 eta: 22:36:05 time: 0.582 data_time: 0.015 memory: 5150 grad_norm: 5.7606 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9757 loss: 1.9757 2022/06/28 00:18:30 - mmengine - INFO - Epoch(train) [19][300/3757] lr: 1.000e-02 eta: 22:36:00 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1832 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4272 loss: 2.4272 2022/06/28 00:18:35 - mmengine - INFO - Epoch(train) [19][320/3757] lr: 1.000e-02 eta: 22:35:55 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9532 loss: 1.9532 2022/06/28 00:18:41 - mmengine - INFO - Epoch(train) [19][340/3757] lr: 1.000e-02 eta: 22:35:51 time: 0.871 data_time: 0.015 memory: 5150 grad_norm: 4.5454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7166 loss: 1.7166 2022/06/28 00:18:46 - mmengine - INFO - Epoch(train) [19][360/3757] lr: 1.000e-02 eta: 22:35:44 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1755 loss: 2.1755 2022/06/28 00:18:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:18:51 - mmengine - INFO - Epoch(train) [19][380/3757] lr: 1.000e-02 eta: 22:35:41 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.3549 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9848 loss: 1.9848 2022/06/28 00:18:57 - mmengine - INFO - Epoch(train) [19][400/3757] lr: 1.000e-02 eta: 22:35:36 time: 0.636 data_time: 0.018 memory: 5150 grad_norm: 6.1822 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3035 loss: 2.3035 2022/06/28 00:19:02 - mmengine - INFO - Epoch(train) [19][420/3757] lr: 1.000e-02 eta: 22:35:30 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.3321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2462 loss: 2.2462 2022/06/28 00:19:08 - mmengine - INFO - Epoch(train) [19][440/3757] lr: 1.000e-02 eta: 22:35:26 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.3050 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3270 loss: 2.3270 2022/06/28 00:19:14 - mmengine - INFO - Epoch(train) [19][460/3757] lr: 1.000e-02 eta: 22:35:24 time: 1.171 data_time: 0.007 memory: 5150 grad_norm: 5.5188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1974 loss: 2.1974 2022/06/28 00:19:18 - mmengine - INFO - Epoch(train) [19][480/3757] lr: 1.000e-02 eta: 22:35:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.9902 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9577 loss: 1.9577 2022/06/28 00:19:24 - mmengine - INFO - Epoch(train) [19][500/3757] lr: 1.000e-02 eta: 22:35:11 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9606 loss: 1.9606 2022/06/28 00:19:29 - mmengine - INFO - Epoch(train) [19][520/3757] lr: 1.000e-02 eta: 22:35:06 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1586 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1695 loss: 2.1695 2022/06/28 00:19:34 - mmengine - INFO - Epoch(train) [19][540/3757] lr: 1.000e-02 eta: 22:35:00 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.1889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8846 loss: 1.8846 2022/06/28 00:19:40 - mmengine - INFO - Epoch(train) [19][560/3757] lr: 1.000e-02 eta: 22:34:56 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8053 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4348 loss: 2.4348 2022/06/28 00:19:45 - mmengine - INFO - Epoch(train) [19][580/3757] lr: 1.000e-02 eta: 22:34:51 time: 0.541 data_time: 0.008 memory: 5150 grad_norm: 5.4195 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3924 loss: 2.3924 2022/06/28 00:19:50 - mmengine - INFO - Epoch(train) [19][600/3757] lr: 1.000e-02 eta: 22:34:44 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 4.4733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3806 loss: 2.3806 2022/06/28 00:19:55 - mmengine - INFO - Epoch(train) [19][620/3757] lr: 1.000e-02 eta: 22:34:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4513 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.6972 loss: 2.6972 2022/06/28 00:20:01 - mmengine - INFO - Epoch(train) [19][640/3757] lr: 1.000e-02 eta: 22:34:37 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2963 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1301 loss: 2.1301 2022/06/28 00:20:06 - mmengine - INFO - Epoch(train) [19][660/3757] lr: 1.000e-02 eta: 22:34:31 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2941 loss: 2.2941 2022/06/28 00:20:12 - mmengine - INFO - Epoch(train) [19][680/3757] lr: 1.000e-02 eta: 22:34:26 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.6985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2093 loss: 2.2093 2022/06/28 00:20:18 - mmengine - INFO - Epoch(train) [19][700/3757] lr: 1.000e-02 eta: 22:34:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 4.9950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3677 loss: 2.3677 2022/06/28 00:20:23 - mmengine - INFO - Epoch(train) [19][720/3757] lr: 1.000e-02 eta: 22:34:18 time: 0.310 data_time: 0.007 memory: 5150 grad_norm: 5.7411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1786 loss: 2.1786 2022/06/28 00:20:28 - mmengine - INFO - Epoch(train) [19][740/3757] lr: 1.000e-02 eta: 22:34:12 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.2229 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0826 loss: 2.0826 2022/06/28 00:20:34 - mmengine - INFO - Epoch(train) [19][760/3757] lr: 1.000e-02 eta: 22:34:08 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9650 loss: 1.9650 2022/06/28 00:20:39 - mmengine - INFO - Epoch(train) [19][780/3757] lr: 1.000e-02 eta: 22:34:01 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 4.7535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3787 loss: 2.3787 2022/06/28 00:20:44 - mmengine - INFO - Epoch(train) [19][800/3757] lr: 1.000e-02 eta: 22:33:56 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.7873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8787 loss: 1.8787 2022/06/28 00:20:49 - mmengine - INFO - Epoch(train) [19][820/3757] lr: 1.000e-02 eta: 22:33:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2449 loss: 2.2449 2022/06/28 00:20:54 - mmengine - INFO - Epoch(train) [19][840/3757] lr: 1.000e-02 eta: 22:33:44 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.7113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0503 loss: 2.0503 2022/06/28 00:21:00 - mmengine - INFO - Epoch(train) [19][860/3757] lr: 1.000e-02 eta: 22:33:41 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.3076 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0857 loss: 2.0857 2022/06/28 00:21:05 - mmengine - INFO - Epoch(train) [19][880/3757] lr: 1.000e-02 eta: 22:33:36 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 5.5808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8574 loss: 1.8574 2022/06/28 00:21:10 - mmengine - INFO - Epoch(train) [19][900/3757] lr: 1.000e-02 eta: 22:33:27 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0524 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8457 loss: 1.8457 2022/06/28 00:21:15 - mmengine - INFO - Epoch(train) [19][920/3757] lr: 1.000e-02 eta: 22:33:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5628 loss: 2.5628 2022/06/28 00:21:21 - mmengine - INFO - Epoch(train) [19][940/3757] lr: 1.000e-02 eta: 22:33:20 time: 0.724 data_time: 0.006 memory: 5150 grad_norm: 5.2496 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0715 loss: 2.0715 2022/06/28 00:21:26 - mmengine - INFO - Epoch(train) [19][960/3757] lr: 1.000e-02 eta: 22:33:14 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3597 loss: 2.3597 2022/06/28 00:21:32 - mmengine - INFO - Epoch(train) [19][980/3757] lr: 1.000e-02 eta: 22:33:10 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1559 loss: 2.1559 2022/06/28 00:21:37 - mmengine - INFO - Epoch(train) [19][1000/3757] lr: 1.000e-02 eta: 22:33:04 time: 0.465 data_time: 0.010 memory: 5150 grad_norm: 5.3126 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2287 loss: 2.2287 2022/06/28 00:21:42 - mmengine - INFO - Epoch(train) [19][1020/3757] lr: 1.000e-02 eta: 22:32:58 time: 0.198 data_time: 0.023 memory: 5150 grad_norm: 6.0829 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3175 loss: 2.3175 2022/06/28 00:21:48 - mmengine - INFO - Epoch(train) [19][1040/3757] lr: 1.000e-02 eta: 22:32:53 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.1206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9032 loss: 1.9032 2022/06/28 00:21:53 - mmengine - INFO - Epoch(train) [19][1060/3757] lr: 1.000e-02 eta: 22:32:51 time: 0.911 data_time: 0.007 memory: 5150 grad_norm: 5.6157 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3050 loss: 2.3050 2022/06/28 00:21:58 - mmengine - INFO - Epoch(train) [19][1080/3757] lr: 1.000e-02 eta: 22:32:41 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.3818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/06/28 00:22:04 - mmengine - INFO - Epoch(train) [19][1100/3757] lr: 1.000e-02 eta: 22:32:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.8043 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9650 loss: 1.9650 2022/06/28 00:22:09 - mmengine - INFO - Epoch(train) [19][1120/3757] lr: 1.000e-02 eta: 22:32:34 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.2113 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3395 loss: 2.3395 2022/06/28 00:22:14 - mmengine - INFO - Epoch(train) [19][1140/3757] lr: 1.000e-02 eta: 22:32:27 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 5.7275 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1536 loss: 2.1536 2022/06/28 00:22:19 - mmengine - INFO - Epoch(train) [19][1160/3757] lr: 1.000e-02 eta: 22:32:21 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.3848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1756 loss: 2.1756 2022/06/28 00:22:25 - mmengine - INFO - Epoch(train) [19][1180/3757] lr: 1.000e-02 eta: 22:32:16 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3491 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9896 loss: 1.9896 2022/06/28 00:22:29 - mmengine - INFO - Epoch(train) [19][1200/3757] lr: 1.000e-02 eta: 22:32:08 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.1072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2600 loss: 2.2600 2022/06/28 00:22:35 - mmengine - INFO - Epoch(train) [19][1220/3757] lr: 1.000e-02 eta: 22:32:05 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.2087 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9835 loss: 1.9835 2022/06/28 00:22:41 - mmengine - INFO - Epoch(train) [19][1240/3757] lr: 1.000e-02 eta: 22:32:02 time: 0.599 data_time: 0.006 memory: 5150 grad_norm: 4.6257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8721 loss: 1.8721 2022/06/28 00:22:46 - mmengine - INFO - Epoch(train) [19][1260/3757] lr: 1.000e-02 eta: 22:31:54 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.1780 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3616 loss: 2.3616 2022/06/28 00:22:51 - mmengine - INFO - Epoch(train) [19][1280/3757] lr: 1.000e-02 eta: 22:31:50 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0350 loss: 2.0350 2022/06/28 00:22:57 - mmengine - INFO - Epoch(train) [19][1300/3757] lr: 1.000e-02 eta: 22:31:46 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.7117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2861 loss: 2.2861 2022/06/28 00:23:01 - mmengine - INFO - Epoch(train) [19][1320/3757] lr: 1.000e-02 eta: 22:31:36 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 4.9248 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2771 loss: 2.2771 2022/06/28 00:23:06 - mmengine - INFO - Epoch(train) [19][1340/3757] lr: 1.000e-02 eta: 22:31:32 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 5.0576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1741 loss: 2.1741 2022/06/28 00:23:12 - mmengine - INFO - Epoch(train) [19][1360/3757] lr: 1.000e-02 eta: 22:31:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9183 loss: 1.9183 2022/06/28 00:23:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:23:17 - mmengine - INFO - Epoch(train) [19][1380/3757] lr: 1.000e-02 eta: 22:31:21 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.7968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9484 loss: 1.9484 2022/06/28 00:23:23 - mmengine - INFO - Epoch(train) [19][1400/3757] lr: 1.000e-02 eta: 22:31:17 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 5.0478 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2224 loss: 2.2224 2022/06/28 00:23:28 - mmengine - INFO - Epoch(train) [19][1420/3757] lr: 1.000e-02 eta: 22:31:12 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.6417 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/06/28 00:23:33 - mmengine - INFO - Epoch(train) [19][1440/3757] lr: 1.000e-02 eta: 22:31:06 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.1483 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/06/28 00:23:39 - mmengine - INFO - Epoch(train) [19][1460/3757] lr: 1.000e-02 eta: 22:31:04 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 4.6594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/06/28 00:23:44 - mmengine - INFO - Epoch(train) [19][1480/3757] lr: 1.000e-02 eta: 22:30:57 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1465 loss: 2.1465 2022/06/28 00:23:49 - mmengine - INFO - Epoch(train) [19][1500/3757] lr: 1.000e-02 eta: 22:30:50 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 6.1650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9898 loss: 1.9898 2022/06/28 00:23:55 - mmengine - INFO - Epoch(train) [19][1520/3757] lr: 1.000e-02 eta: 22:30:46 time: 0.596 data_time: 0.006 memory: 5150 grad_norm: 5.8053 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1690 loss: 2.1690 2022/06/28 00:24:00 - mmengine - INFO - Epoch(train) [19][1540/3757] lr: 1.000e-02 eta: 22:30:42 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.2498 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2272 loss: 2.2272 2022/06/28 00:24:06 - mmengine - INFO - Epoch(train) [19][1560/3757] lr: 1.000e-02 eta: 22:30:38 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7714 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3377 loss: 2.3377 2022/06/28 00:24:11 - mmengine - INFO - Epoch(train) [19][1580/3757] lr: 1.000e-02 eta: 22:30:31 time: 0.472 data_time: 0.007 memory: 5150 grad_norm: 5.2238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1785 loss: 2.1785 2022/06/28 00:24:16 - mmengine - INFO - Epoch(train) [19][1600/3757] lr: 1.000e-02 eta: 22:30:26 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.6886 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9925 loss: 1.9925 2022/06/28 00:24:21 - mmengine - INFO - Epoch(train) [19][1620/3757] lr: 1.000e-02 eta: 22:30:19 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1445 loss: 2.1445 2022/06/28 00:24:27 - mmengine - INFO - Epoch(train) [19][1640/3757] lr: 1.000e-02 eta: 22:30:15 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 6.0550 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1677 loss: 2.1677 2022/06/28 00:24:31 - mmengine - INFO - Epoch(train) [19][1660/3757] lr: 1.000e-02 eta: 22:30:08 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.8276 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1568 loss: 2.1568 2022/06/28 00:24:37 - mmengine - INFO - Epoch(train) [19][1680/3757] lr: 1.000e-02 eta: 22:30:04 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.4270 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1090 loss: 2.1090 2022/06/28 00:24:43 - mmengine - INFO - Epoch(train) [19][1700/3757] lr: 1.000e-02 eta: 22:30:01 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.9573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2047 loss: 2.2047 2022/06/28 00:24:48 - mmengine - INFO - Epoch(train) [19][1720/3757] lr: 1.000e-02 eta: 22:29:53 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.2365 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9981 loss: 1.9981 2022/06/28 00:24:54 - mmengine - INFO - Epoch(train) [19][1740/3757] lr: 1.000e-02 eta: 22:29:52 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.9865 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6424 loss: 2.6424 2022/06/28 00:24:59 - mmengine - INFO - Epoch(train) [19][1760/3757] lr: 1.000e-02 eta: 22:29:49 time: 0.876 data_time: 0.007 memory: 5150 grad_norm: 5.2939 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9637 loss: 1.9637 2022/06/28 00:25:04 - mmengine - INFO - Epoch(train) [19][1780/3757] lr: 1.000e-02 eta: 22:29:42 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8510 loss: 1.8510 2022/06/28 00:25:10 - mmengine - INFO - Epoch(train) [19][1800/3757] lr: 1.000e-02 eta: 22:29:38 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.4002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2691 loss: 2.2691 2022/06/28 00:25:15 - mmengine - INFO - Epoch(train) [19][1820/3757] lr: 1.000e-02 eta: 22:29:33 time: 0.997 data_time: 0.007 memory: 5150 grad_norm: 5.5168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5260 loss: 2.5260 2022/06/28 00:25:20 - mmengine - INFO - Epoch(train) [19][1840/3757] lr: 1.000e-02 eta: 22:29:26 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.6012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2709 loss: 2.2709 2022/06/28 00:25:26 - mmengine - INFO - Epoch(train) [19][1860/3757] lr: 1.000e-02 eta: 22:29:22 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 5.4571 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1964 loss: 2.1964 2022/06/28 00:25:32 - mmengine - INFO - Epoch(train) [19][1880/3757] lr: 1.000e-02 eta: 22:29:19 time: 1.048 data_time: 0.011 memory: 5150 grad_norm: 5.2129 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2741 loss: 2.2741 2022/06/28 00:25:36 - mmengine - INFO - Epoch(train) [19][1900/3757] lr: 1.000e-02 eta: 22:29:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9933 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1386 loss: 2.1386 2022/06/28 00:25:42 - mmengine - INFO - Epoch(train) [19][1920/3757] lr: 1.000e-02 eta: 22:29:06 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.8587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3347 loss: 2.3347 2022/06/28 00:25:47 - mmengine - INFO - Epoch(train) [19][1940/3757] lr: 1.000e-02 eta: 22:29:01 time: 0.746 data_time: 0.010 memory: 5150 grad_norm: 5.0328 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4033 loss: 2.4033 2022/06/28 00:25:52 - mmengine - INFO - Epoch(train) [19][1960/3757] lr: 1.000e-02 eta: 22:28:55 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7530 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1566 loss: 2.1566 2022/06/28 00:25:57 - mmengine - INFO - Epoch(train) [19][1980/3757] lr: 1.000e-02 eta: 22:28:49 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.5613 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1609 loss: 2.1609 2022/06/28 00:26:03 - mmengine - INFO - Epoch(train) [19][2000/3757] lr: 1.000e-02 eta: 22:28:45 time: 0.844 data_time: 0.011 memory: 5150 grad_norm: 5.2486 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.6986 loss: 2.6986 2022/06/28 00:26:08 - mmengine - INFO - Epoch(train) [19][2020/3757] lr: 1.000e-02 eta: 22:28:39 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.9388 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1260 loss: 2.1260 2022/06/28 00:26:13 - mmengine - INFO - Epoch(train) [19][2040/3757] lr: 1.000e-02 eta: 22:28:34 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 5.7752 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1035 loss: 2.1035 2022/06/28 00:26:18 - mmengine - INFO - Epoch(train) [19][2060/3757] lr: 1.000e-02 eta: 22:28:28 time: 0.627 data_time: 0.007 memory: 5150 grad_norm: 5.5798 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.6266 loss: 2.6266 2022/06/28 00:26:23 - mmengine - INFO - Epoch(train) [19][2080/3757] lr: 1.000e-02 eta: 22:28:21 time: 0.298 data_time: 0.009 memory: 5150 grad_norm: 5.9568 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1414 loss: 2.1414 2022/06/28 00:26:29 - mmengine - INFO - Epoch(train) [19][2100/3757] lr: 1.000e-02 eta: 22:28:17 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.2567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3153 loss: 2.3153 2022/06/28 00:26:35 - mmengine - INFO - Epoch(train) [19][2120/3757] lr: 1.000e-02 eta: 22:28:15 time: 0.447 data_time: 0.007 memory: 5150 grad_norm: 6.0587 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2656 loss: 2.2656 2022/06/28 00:26:40 - mmengine - INFO - Epoch(train) [19][2140/3757] lr: 1.000e-02 eta: 22:28:08 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.6505 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2044 loss: 2.2044 2022/06/28 00:26:46 - mmengine - INFO - Epoch(train) [19][2160/3757] lr: 1.000e-02 eta: 22:28:04 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.5534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9871 loss: 1.9871 2022/06/28 00:26:51 - mmengine - INFO - Epoch(train) [19][2180/3757] lr: 1.000e-02 eta: 22:28:00 time: 0.991 data_time: 0.012 memory: 5150 grad_norm: 5.7869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8984 loss: 1.8984 2022/06/28 00:26:56 - mmengine - INFO - Epoch(train) [19][2200/3757] lr: 1.000e-02 eta: 22:27:53 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.0845 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2946 loss: 2.2946 2022/06/28 00:27:01 - mmengine - INFO - Epoch(train) [19][2220/3757] lr: 1.000e-02 eta: 22:27:47 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.3925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0272 loss: 2.0272 2022/06/28 00:27:06 - mmengine - INFO - Epoch(train) [19][2240/3757] lr: 1.000e-02 eta: 22:27:41 time: 0.619 data_time: 0.013 memory: 5150 grad_norm: 5.5988 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8423 loss: 1.8423 2022/06/28 00:27:12 - mmengine - INFO - Epoch(train) [19][2260/3757] lr: 1.000e-02 eta: 22:27:35 time: 0.435 data_time: 0.017 memory: 5150 grad_norm: 5.1239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0563 loss: 2.0563 2022/06/28 00:27:16 - mmengine - INFO - Epoch(train) [19][2280/3757] lr: 1.000e-02 eta: 22:27:28 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.4400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/06/28 00:27:22 - mmengine - INFO - Epoch(train) [19][2300/3757] lr: 1.000e-02 eta: 22:27:24 time: 0.394 data_time: 0.007 memory: 5150 grad_norm: 5.1070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1973 loss: 2.1973 2022/06/28 00:27:28 - mmengine - INFO - Epoch(train) [19][2320/3757] lr: 1.000e-02 eta: 22:27:20 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 5.3787 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.5832 loss: 2.5832 2022/06/28 00:27:33 - mmengine - INFO - Epoch(train) [19][2340/3757] lr: 1.000e-02 eta: 22:27:14 time: 0.192 data_time: 0.014 memory: 5150 grad_norm: 5.8061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2923 loss: 2.2923 2022/06/28 00:27:38 - mmengine - INFO - Epoch(train) [19][2360/3757] lr: 1.000e-02 eta: 22:27:10 time: 0.364 data_time: 0.008 memory: 5150 grad_norm: 5.1615 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6674 loss: 2.6674 2022/06/28 00:27:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:27:44 - mmengine - INFO - Epoch(train) [19][2380/3757] lr: 1.000e-02 eta: 22:27:05 time: 0.328 data_time: 0.019 memory: 5150 grad_norm: 5.3762 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8786 loss: 1.8786 2022/06/28 00:27:48 - mmengine - INFO - Epoch(train) [19][2400/3757] lr: 1.000e-02 eta: 22:26:57 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.9140 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2564 loss: 2.2564 2022/06/28 00:27:54 - mmengine - INFO - Epoch(train) [19][2420/3757] lr: 1.000e-02 eta: 22:26:55 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.5190 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9676 loss: 1.9676 2022/06/28 00:28:00 - mmengine - INFO - Epoch(train) [19][2440/3757] lr: 1.000e-02 eta: 22:26:50 time: 0.588 data_time: 0.013 memory: 5150 grad_norm: 5.3367 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9001 loss: 1.9001 2022/06/28 00:28:05 - mmengine - INFO - Epoch(train) [19][2460/3757] lr: 1.000e-02 eta: 22:26:44 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.5620 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1663 loss: 2.1663 2022/06/28 00:28:10 - mmengine - INFO - Epoch(train) [19][2480/3757] lr: 1.000e-02 eta: 22:26:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3944 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7454 loss: 1.7454 2022/06/28 00:28:16 - mmengine - INFO - Epoch(train) [19][2500/3757] lr: 1.000e-02 eta: 22:26:35 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 5.7952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0552 loss: 2.0552 2022/06/28 00:28:21 - mmengine - INFO - Epoch(train) [19][2520/3757] lr: 1.000e-02 eta: 22:26:30 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2512 loss: 2.2512 2022/06/28 00:28:27 - mmengine - INFO - Epoch(train) [19][2540/3757] lr: 1.000e-02 eta: 22:26:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7941 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.3002 loss: 2.3002 2022/06/28 00:28:31 - mmengine - INFO - Epoch(train) [19][2560/3757] lr: 1.000e-02 eta: 22:26:18 time: 0.256 data_time: 0.017 memory: 5150 grad_norm: 5.9017 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9618 loss: 1.9618 2022/06/28 00:28:37 - mmengine - INFO - Epoch(train) [19][2580/3757] lr: 1.000e-02 eta: 22:26:14 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.0016 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/06/28 00:28:42 - mmengine - INFO - Epoch(train) [19][2600/3757] lr: 1.000e-02 eta: 22:26:09 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.4769 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0455 loss: 2.0455 2022/06/28 00:28:48 - mmengine - INFO - Epoch(train) [19][2620/3757] lr: 1.000e-02 eta: 22:26:05 time: 0.594 data_time: 0.023 memory: 5150 grad_norm: 5.4817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2385 loss: 2.2385 2022/06/28 00:28:53 - mmengine - INFO - Epoch(train) [19][2640/3757] lr: 1.000e-02 eta: 22:25:59 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 5.4763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2814 loss: 2.2814 2022/06/28 00:28:59 - mmengine - INFO - Epoch(train) [19][2660/3757] lr: 1.000e-02 eta: 22:25:54 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.0625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7452 loss: 1.7452 2022/06/28 00:29:04 - mmengine - INFO - Epoch(train) [19][2680/3757] lr: 1.000e-02 eta: 22:25:49 time: 0.459 data_time: 0.018 memory: 5150 grad_norm: 5.2323 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3637 loss: 2.3637 2022/06/28 00:29:09 - mmengine - INFO - Epoch(train) [19][2700/3757] lr: 1.000e-02 eta: 22:25:43 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.2075 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2270 loss: 2.2270 2022/06/28 00:29:14 - mmengine - INFO - Epoch(train) [19][2720/3757] lr: 1.000e-02 eta: 22:25:39 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7223 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9897 loss: 1.9897 2022/06/28 00:29:20 - mmengine - INFO - Epoch(train) [19][2740/3757] lr: 1.000e-02 eta: 22:25:34 time: 0.770 data_time: 0.014 memory: 5150 grad_norm: 5.7614 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0662 loss: 2.0662 2022/06/28 00:29:25 - mmengine - INFO - Epoch(train) [19][2760/3757] lr: 1.000e-02 eta: 22:25:29 time: 0.223 data_time: 0.013 memory: 5150 grad_norm: 5.3623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9700 loss: 1.9700 2022/06/28 00:29:31 - mmengine - INFO - Epoch(train) [19][2780/3757] lr: 1.000e-02 eta: 22:25:25 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.6205 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2823 loss: 2.2823 2022/06/28 00:29:36 - mmengine - INFO - Epoch(train) [19][2800/3757] lr: 1.000e-02 eta: 22:25:21 time: 0.610 data_time: 0.010 memory: 5150 grad_norm: 4.9736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2461 loss: 2.2461 2022/06/28 00:29:41 - mmengine - INFO - Epoch(train) [19][2820/3757] lr: 1.000e-02 eta: 22:25:14 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 6.1274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9933 loss: 1.9933 2022/06/28 00:29:47 - mmengine - INFO - Epoch(train) [19][2840/3757] lr: 1.000e-02 eta: 22:25:09 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.3087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1348 loss: 2.1348 2022/06/28 00:29:52 - mmengine - INFO - Epoch(train) [19][2860/3757] lr: 1.000e-02 eta: 22:25:06 time: 0.590 data_time: 0.016 memory: 5150 grad_norm: 5.4877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9955 loss: 1.9955 2022/06/28 00:29:57 - mmengine - INFO - Epoch(train) [19][2880/3757] lr: 1.000e-02 eta: 22:24:59 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5099 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1972 loss: 2.1972 2022/06/28 00:30:03 - mmengine - INFO - Epoch(train) [19][2900/3757] lr: 1.000e-02 eta: 22:24:56 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1840 loss: 2.1840 2022/06/28 00:30:08 - mmengine - INFO - Epoch(train) [19][2920/3757] lr: 1.000e-02 eta: 22:24:51 time: 0.633 data_time: 0.017 memory: 5150 grad_norm: 4.9948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2301 loss: 2.2301 2022/06/28 00:30:14 - mmengine - INFO - Epoch(train) [19][2940/3757] lr: 1.000e-02 eta: 22:24:46 time: 0.398 data_time: 0.007 memory: 5150 grad_norm: 5.8482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7908 loss: 1.7908 2022/06/28 00:30:19 - mmengine - INFO - Epoch(train) [19][2960/3757] lr: 1.000e-02 eta: 22:24:40 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9529 loss: 1.9529 2022/06/28 00:30:25 - mmengine - INFO - Epoch(train) [19][2980/3757] lr: 1.000e-02 eta: 22:24:35 time: 0.369 data_time: 0.020 memory: 5150 grad_norm: 5.3232 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3500 loss: 2.3500 2022/06/28 00:30:29 - mmengine - INFO - Epoch(train) [19][3000/3757] lr: 1.000e-02 eta: 22:24:29 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1598 loss: 2.1598 2022/06/28 00:30:35 - mmengine - INFO - Epoch(train) [19][3020/3757] lr: 1.000e-02 eta: 22:24:25 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.8130 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9137 loss: 1.9137 2022/06/28 00:30:40 - mmengine - INFO - Epoch(train) [19][3040/3757] lr: 1.000e-02 eta: 22:24:18 time: 0.246 data_time: 0.069 memory: 5150 grad_norm: 5.7055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9337 loss: 1.9337 2022/06/28 00:30:45 - mmengine - INFO - Epoch(train) [19][3060/3757] lr: 1.000e-02 eta: 22:24:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0797 loss: 2.0797 2022/06/28 00:30:51 - mmengine - INFO - Epoch(train) [19][3080/3757] lr: 1.000e-02 eta: 22:24:08 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1894 loss: 2.1894 2022/06/28 00:30:57 - mmengine - INFO - Epoch(train) [19][3100/3757] lr: 1.000e-02 eta: 22:24:05 time: 0.353 data_time: 0.025 memory: 5150 grad_norm: 5.8721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9100 loss: 1.9100 2022/06/28 00:31:01 - mmengine - INFO - Epoch(train) [19][3120/3757] lr: 1.000e-02 eta: 22:23:56 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9978 loss: 1.9978 2022/06/28 00:31:07 - mmengine - INFO - Epoch(train) [19][3140/3757] lr: 1.000e-02 eta: 22:23:52 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.0750 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2988 loss: 2.2988 2022/06/28 00:31:12 - mmengine - INFO - Epoch(train) [19][3160/3757] lr: 1.000e-02 eta: 22:23:47 time: 0.212 data_time: 0.035 memory: 5150 grad_norm: 6.3688 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9904 loss: 1.9904 2022/06/28 00:31:17 - mmengine - INFO - Epoch(train) [19][3180/3757] lr: 1.000e-02 eta: 22:23:42 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3866 loss: 2.3866 2022/06/28 00:31:23 - mmengine - INFO - Epoch(train) [19][3200/3757] lr: 1.000e-02 eta: 22:23:37 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8506 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4092 loss: 2.4092 2022/06/28 00:31:28 - mmengine - INFO - Epoch(train) [19][3220/3757] lr: 1.000e-02 eta: 22:23:32 time: 0.350 data_time: 0.028 memory: 5150 grad_norm: 5.8646 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9515 loss: 1.9515 2022/06/28 00:31:33 - mmengine - INFO - Epoch(train) [19][3240/3757] lr: 1.000e-02 eta: 22:23:26 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9837 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4998 loss: 2.4998 2022/06/28 00:31:39 - mmengine - INFO - Epoch(train) [19][3260/3757] lr: 1.000e-02 eta: 22:23:24 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.5225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8068 loss: 2.8068 2022/06/28 00:31:44 - mmengine - INFO - Epoch(train) [19][3280/3757] lr: 1.000e-02 eta: 22:23:18 time: 0.617 data_time: 0.038 memory: 5150 grad_norm: 5.5487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1132 loss: 2.1132 2022/06/28 00:31:50 - mmengine - INFO - Epoch(train) [19][3300/3757] lr: 1.000e-02 eta: 22:23:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6506 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9609 loss: 1.9609 2022/06/28 00:31:56 - mmengine - INFO - Epoch(train) [19][3320/3757] lr: 1.000e-02 eta: 22:23:12 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 4.9941 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2969 loss: 2.2969 2022/06/28 00:32:00 - mmengine - INFO - Epoch(train) [19][3340/3757] lr: 1.000e-02 eta: 22:23:02 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 4.8159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9088 loss: 1.9088 2022/06/28 00:32:04 - mmengine - INFO - Epoch(train) [19][3360/3757] lr: 1.000e-02 eta: 22:22:52 time: 0.208 data_time: 0.025 memory: 5150 grad_norm: 6.0515 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2057 loss: 2.2057 2022/06/28 00:32:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:32:10 - mmengine - INFO - Epoch(train) [19][3380/3757] lr: 1.000e-02 eta: 22:22:48 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2017 loss: 2.2017 2022/06/28 00:32:16 - mmengine - INFO - Epoch(train) [19][3400/3757] lr: 1.000e-02 eta: 22:22:45 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.5002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7261 loss: 1.7261 2022/06/28 00:32:21 - mmengine - INFO - Epoch(train) [19][3420/3757] lr: 1.000e-02 eta: 22:22:37 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.7320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3740 loss: 2.3740 2022/06/28 00:32:26 - mmengine - INFO - Epoch(train) [19][3440/3757] lr: 1.000e-02 eta: 22:22:34 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5154 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9818 loss: 1.9818 2022/06/28 00:32:32 - mmengine - INFO - Epoch(train) [19][3460/3757] lr: 1.000e-02 eta: 22:22:29 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 4.7058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3551 loss: 2.3551 2022/06/28 00:32:37 - mmengine - INFO - Epoch(train) [19][3480/3757] lr: 1.000e-02 eta: 22:22:23 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.6747 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2678 loss: 2.2678 2022/06/28 00:32:42 - mmengine - INFO - Epoch(train) [19][3500/3757] lr: 1.000e-02 eta: 22:22:19 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.4352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6273 loss: 1.6273 2022/06/28 00:32:47 - mmengine - INFO - Epoch(train) [19][3520/3757] lr: 1.000e-02 eta: 22:22:13 time: 0.204 data_time: 0.026 memory: 5150 grad_norm: 5.2544 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3293 loss: 2.3293 2022/06/28 00:32:53 - mmengine - INFO - Epoch(train) [19][3540/3757] lr: 1.000e-02 eta: 22:22:07 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.3311 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1082 loss: 2.1082 2022/06/28 00:32:59 - mmengine - INFO - Epoch(train) [19][3560/3757] lr: 1.000e-02 eta: 22:22:04 time: 0.188 data_time: 0.010 memory: 5150 grad_norm: 5.4726 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2652 loss: 2.2652 2022/06/28 00:33:04 - mmengine - INFO - Epoch(train) [19][3580/3757] lr: 1.000e-02 eta: 22:21:59 time: 0.364 data_time: 0.013 memory: 5150 grad_norm: 5.7308 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9851 loss: 1.9851 2022/06/28 00:33:09 - mmengine - INFO - Epoch(train) [19][3600/3757] lr: 1.000e-02 eta: 22:21:52 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.8694 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2260 loss: 2.2260 2022/06/28 00:33:15 - mmengine - INFO - Epoch(train) [19][3620/3757] lr: 1.000e-02 eta: 22:21:50 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 5.0548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4698 loss: 2.4698 2022/06/28 00:33:20 - mmengine - INFO - Epoch(train) [19][3640/3757] lr: 1.000e-02 eta: 22:21:45 time: 0.203 data_time: 0.022 memory: 5150 grad_norm: 5.6215 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3823 loss: 2.3823 2022/06/28 00:33:25 - mmengine - INFO - Epoch(train) [19][3660/3757] lr: 1.000e-02 eta: 22:21:38 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.0397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0016 loss: 2.0016 2022/06/28 00:33:31 - mmengine - INFO - Epoch(train) [19][3680/3757] lr: 1.000e-02 eta: 22:21:34 time: 0.211 data_time: 0.036 memory: 5150 grad_norm: 6.0934 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2700 loss: 2.2700 2022/06/28 00:33:37 - mmengine - INFO - Epoch(train) [19][3700/3757] lr: 1.000e-02 eta: 22:21:32 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 5.2957 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.1819 loss: 2.1819 2022/06/28 00:33:42 - mmengine - INFO - Epoch(train) [19][3720/3757] lr: 1.000e-02 eta: 22:21:25 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7269 loss: 2.7269 2022/06/28 00:33:47 - mmengine - INFO - Epoch(train) [19][3740/3757] lr: 1.000e-02 eta: 22:21:20 time: 0.202 data_time: 0.034 memory: 5150 grad_norm: 5.0642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4674 loss: 1.4674 2022/06/28 00:33:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:34:23 - mmengine - INFO - Epoch(val) [19][20/310] eta: 0:05:53 time: 0.958 data_time: 0.319 memory: 9746 2022/06/28 00:34:45 - mmengine - INFO - Epoch(val) [19][40/310] eta: 0:04:48 time: 1.060 data_time: 0.427 memory: 9746 2022/06/28 00:35:09 - mmengine - INFO - Epoch(val) [19][60/310] eta: 0:04:23 time: 1.173 data_time: 0.524 memory: 9746 2022/06/28 00:35:33 - mmengine - INFO - Epoch(val) [19][80/310] eta: 0:05:07 time: 0.944 data_time: 0.322 memory: 9746 2022/06/28 00:35:57 - mmengine - INFO - Epoch(val) [19][100/310] eta: 0:04:14 time: 2.689 data_time: 2.004 memory: 9746 2022/06/28 00:36:18 - mmengine - INFO - Epoch(val) [19][120/310] eta: 0:03:25 time: 1.189 data_time: 0.523 memory: 9746 2022/06/28 00:36:42 - mmengine - INFO - Epoch(val) [19][140/310] eta: 0:03:20 time: 1.078 data_time: 0.428 memory: 9746 2022/06/28 00:37:07 - mmengine - INFO - Epoch(val) [19][160/310] eta: 0:03:21 time: 3.568 data_time: 2.889 memory: 9746 2022/06/28 00:37:31 - mmengine - INFO - Epoch(val) [19][180/310] eta: 0:02:56 time: 1.095 data_time: 0.458 memory: 9746 2022/06/28 00:37:53 - mmengine - INFO - Epoch(val) [19][200/310] eta: 0:02:07 time: 1.063 data_time: 0.420 memory: 9746 2022/06/28 00:38:14 - mmengine - INFO - Epoch(val) [19][220/310] eta: 0:01:36 time: 1.118 data_time: 0.453 memory: 9746 2022/06/28 00:38:35 - mmengine - INFO - Epoch(val) [19][240/310] eta: 0:01:11 time: 0.849 data_time: 0.201 memory: 9746 2022/06/28 00:38:59 - mmengine - INFO - Epoch(val) [19][260/310] eta: 0:00:59 time: 1.064 data_time: 0.434 memory: 9746 2022/06/28 00:39:22 - mmengine - INFO - Epoch(val) [19][280/310] eta: 0:00:34 time: 1.626 data_time: 0.985 memory: 9746 2022/06/28 00:39:41 - mmengine - INFO - Epoch(val) [19][300/310] eta: 0:00:08 time: 0.629 data_time: 0.064 memory: 9746 2022/06/28 00:39:53 - mmengine - INFO - Epoch(val) [19][310/310] acc/top1: 0.5843 acc/top5: 0.8233 acc/mean1: 0.5842 2022/06/28 00:40:01 - mmengine - INFO - Epoch(train) [20][20/3757] lr: 1.000e-02 eta: 22:21:12 time: 0.196 data_time: 0.007 memory: 9746 grad_norm: 5.1770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2808 loss: 2.2808 2022/06/28 00:40:07 - mmengine - INFO - Epoch(train) [20][40/3757] lr: 1.000e-02 eta: 22:21:09 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5517 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9906 loss: 1.9906 2022/06/28 00:40:12 - mmengine - INFO - Epoch(train) [20][60/3757] lr: 1.000e-02 eta: 22:21:02 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.6695 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2157 loss: 2.2157 2022/06/28 00:40:18 - mmengine - INFO - Epoch(train) [20][80/3757] lr: 1.000e-02 eta: 22:20:58 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.7287 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1847 loss: 2.1847 2022/06/28 00:40:23 - mmengine - INFO - Epoch(train) [20][100/3757] lr: 1.000e-02 eta: 22:20:54 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.8391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9202 loss: 1.9202 2022/06/28 00:40:28 - mmengine - INFO - Epoch(train) [20][120/3757] lr: 1.000e-02 eta: 22:20:47 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.3636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8804 loss: 1.8804 2022/06/28 00:40:34 - mmengine - INFO - Epoch(train) [20][140/3757] lr: 1.000e-02 eta: 22:20:43 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.5508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8897 loss: 1.8897 2022/06/28 00:40:39 - mmengine - INFO - Epoch(train) [20][160/3757] lr: 1.000e-02 eta: 22:20:38 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.3407 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3521 loss: 2.3521 2022/06/28 00:40:44 - mmengine - INFO - Epoch(train) [20][180/3757] lr: 1.000e-02 eta: 22:20:30 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.5549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0142 loss: 2.0142 2022/06/28 00:40:49 - mmengine - INFO - Epoch(train) [20][200/3757] lr: 1.000e-02 eta: 22:20:26 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7541 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3640 loss: 2.3640 2022/06/28 00:40:55 - mmengine - INFO - Epoch(train) [20][220/3757] lr: 1.000e-02 eta: 22:20:23 time: 0.327 data_time: 0.035 memory: 5150 grad_norm: 5.2198 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1650 loss: 2.1650 2022/06/28 00:41:00 - mmengine - INFO - Epoch(train) [20][240/3757] lr: 1.000e-02 eta: 22:20:16 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5515 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3505 loss: 2.3505 2022/06/28 00:41:05 - mmengine - INFO - Epoch(train) [20][260/3757] lr: 1.000e-02 eta: 22:20:11 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.1445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8699 loss: 1.8699 2022/06/28 00:41:11 - mmengine - INFO - Epoch(train) [20][280/3757] lr: 1.000e-02 eta: 22:20:07 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.8201 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3355 loss: 2.3355 2022/06/28 00:41:15 - mmengine - INFO - Epoch(train) [20][300/3757] lr: 1.000e-02 eta: 22:19:59 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0024 loss: 2.0024 2022/06/28 00:41:21 - mmengine - INFO - Epoch(train) [20][320/3757] lr: 1.000e-02 eta: 22:19:57 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.1502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0042 loss: 2.0042 2022/06/28 00:41:27 - mmengine - INFO - Epoch(train) [20][340/3757] lr: 1.000e-02 eta: 22:19:52 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.9786 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1290 loss: 2.1290 2022/06/28 00:41:32 - mmengine - INFO - Epoch(train) [20][360/3757] lr: 1.000e-02 eta: 22:19:44 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.1620 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1558 loss: 2.1558 2022/06/28 00:41:38 - mmengine - INFO - Epoch(train) [20][380/3757] lr: 1.000e-02 eta: 22:19:44 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.6986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8146 loss: 1.8146 2022/06/28 00:41:42 - mmengine - INFO - Epoch(train) [20][400/3757] lr: 1.000e-02 eta: 22:19:33 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9220 loss: 1.9220 2022/06/28 00:41:46 - mmengine - INFO - Epoch(train) [20][420/3757] lr: 1.000e-02 eta: 22:19:23 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6674 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1857 loss: 2.1857 2022/06/28 00:41:52 - mmengine - INFO - Epoch(train) [20][440/3757] lr: 1.000e-02 eta: 22:19:18 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.0813 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0944 loss: 2.0944 2022/06/28 00:41:57 - mmengine - INFO - Epoch(train) [20][460/3757] lr: 1.000e-02 eta: 22:19:13 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.6847 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/06/28 00:42:02 - mmengine - INFO - Epoch(train) [20][480/3757] lr: 1.000e-02 eta: 22:19:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5746 loss: 1.5746 2022/06/28 00:42:08 - mmengine - INFO - Epoch(train) [20][500/3757] lr: 1.000e-02 eta: 22:19:03 time: 0.545 data_time: 0.010 memory: 5150 grad_norm: 5.4002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2877 loss: 2.2877 2022/06/28 00:42:13 - mmengine - INFO - Epoch(train) [20][520/3757] lr: 1.000e-02 eta: 22:18:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.2600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1531 loss: 2.1531 2022/06/28 00:42:18 - mmengine - INFO - Epoch(train) [20][540/3757] lr: 1.000e-02 eta: 22:18:52 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.2478 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6069 loss: 2.6069 2022/06/28 00:42:24 - mmengine - INFO - Epoch(train) [20][560/3757] lr: 1.000e-02 eta: 22:18:47 time: 0.441 data_time: 0.008 memory: 5150 grad_norm: 5.6113 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2945 loss: 2.2945 2022/06/28 00:42:29 - mmengine - INFO - Epoch(train) [20][580/3757] lr: 1.000e-02 eta: 22:18:41 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.9020 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2532 loss: 2.2532 2022/06/28 00:42:35 - mmengine - INFO - Epoch(train) [20][600/3757] lr: 1.000e-02 eta: 22:18:38 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6345 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8345 loss: 1.8345 2022/06/28 00:42:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:42:39 - mmengine - INFO - Epoch(train) [20][620/3757] lr: 1.000e-02 eta: 22:18:31 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.3082 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9363 loss: 1.9363 2022/06/28 00:42:45 - mmengine - INFO - Epoch(train) [20][640/3757] lr: 1.000e-02 eta: 22:18:27 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.3686 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5727 loss: 2.5727 2022/06/28 00:42:50 - mmengine - INFO - Epoch(train) [20][660/3757] lr: 1.000e-02 eta: 22:18:22 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 4.9965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0867 loss: 2.0867 2022/06/28 00:42:56 - mmengine - INFO - Epoch(train) [20][680/3757] lr: 1.000e-02 eta: 22:18:17 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.2765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2138 loss: 2.2138 2022/06/28 00:43:01 - mmengine - INFO - Epoch(train) [20][700/3757] lr: 1.000e-02 eta: 22:18:13 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.7219 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3050 loss: 2.3050 2022/06/28 00:43:06 - mmengine - INFO - Epoch(train) [20][720/3757] lr: 1.000e-02 eta: 22:18:05 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.9603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0642 loss: 2.0642 2022/06/28 00:43:12 - mmengine - INFO - Epoch(train) [20][740/3757] lr: 1.000e-02 eta: 22:18:04 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8396 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0921 loss: 2.0921 2022/06/28 00:43:17 - mmengine - INFO - Epoch(train) [20][760/3757] lr: 1.000e-02 eta: 22:17:58 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3927 loss: 2.3927 2022/06/28 00:43:22 - mmengine - INFO - Epoch(train) [20][780/3757] lr: 1.000e-02 eta: 22:17:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3843 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4609 loss: 2.4609 2022/06/28 00:43:28 - mmengine - INFO - Epoch(train) [20][800/3757] lr: 1.000e-02 eta: 22:17:47 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.4282 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3752 loss: 2.3752 2022/06/28 00:43:34 - mmengine - INFO - Epoch(train) [20][820/3757] lr: 1.000e-02 eta: 22:17:44 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.2954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1570 loss: 2.1570 2022/06/28 00:43:39 - mmengine - INFO - Epoch(train) [20][840/3757] lr: 1.000e-02 eta: 22:17:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.7778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2553 loss: 2.2553 2022/06/28 00:43:44 - mmengine - INFO - Epoch(train) [20][860/3757] lr: 1.000e-02 eta: 22:17:33 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.4381 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7484 loss: 1.7484 2022/06/28 00:43:50 - mmengine - INFO - Epoch(train) [20][880/3757] lr: 1.000e-02 eta: 22:17:29 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.5062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3791 loss: 2.3791 2022/06/28 00:43:54 - mmengine - INFO - Epoch(train) [20][900/3757] lr: 1.000e-02 eta: 22:17:21 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 4.9800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0989 loss: 2.0989 2022/06/28 00:44:00 - mmengine - INFO - Epoch(train) [20][920/3757] lr: 1.000e-02 eta: 22:17:17 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0923 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2616 loss: 2.2616 2022/06/28 00:44:06 - mmengine - INFO - Epoch(train) [20][940/3757] lr: 1.000e-02 eta: 22:17:14 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2203 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3798 loss: 2.3798 2022/06/28 00:44:10 - mmengine - INFO - Epoch(train) [20][960/3757] lr: 1.000e-02 eta: 22:17:05 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9328 loss: 1.9328 2022/06/28 00:44:16 - mmengine - INFO - Epoch(train) [20][980/3757] lr: 1.000e-02 eta: 22:17:02 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 4.6560 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2286 loss: 2.2286 2022/06/28 00:44:21 - mmengine - INFO - Epoch(train) [20][1000/3757] lr: 1.000e-02 eta: 22:16:56 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 6.0244 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.3543 loss: 2.3543 2022/06/28 00:44:27 - mmengine - INFO - Epoch(train) [20][1020/3757] lr: 1.000e-02 eta: 22:16:51 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1370 loss: 2.1370 2022/06/28 00:44:32 - mmengine - INFO - Epoch(train) [20][1040/3757] lr: 1.000e-02 eta: 22:16:44 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.0595 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3439 loss: 2.3439 2022/06/28 00:44:37 - mmengine - INFO - Epoch(train) [20][1060/3757] lr: 1.000e-02 eta: 22:16:40 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.3330 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3525 loss: 2.3525 2022/06/28 00:44:42 - mmengine - INFO - Epoch(train) [20][1080/3757] lr: 1.000e-02 eta: 22:16:33 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 5.1459 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2416 loss: 2.2416 2022/06/28 00:44:48 - mmengine - INFO - Epoch(train) [20][1100/3757] lr: 1.000e-02 eta: 22:16:29 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1289 loss: 2.1289 2022/06/28 00:44:53 - mmengine - INFO - Epoch(train) [20][1120/3757] lr: 1.000e-02 eta: 22:16:24 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.5944 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.4118 loss: 2.4118 2022/06/28 00:44:58 - mmengine - INFO - Epoch(train) [20][1140/3757] lr: 1.000e-02 eta: 22:16:18 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1052 loss: 2.1052 2022/06/28 00:45:04 - mmengine - INFO - Epoch(train) [20][1160/3757] lr: 1.000e-02 eta: 22:16:15 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.9929 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0760 loss: 2.0760 2022/06/28 00:45:09 - mmengine - INFO - Epoch(train) [20][1180/3757] lr: 1.000e-02 eta: 22:16:10 time: 0.733 data_time: 0.006 memory: 5150 grad_norm: 5.4302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7672 loss: 1.7672 2022/06/28 00:45:15 - mmengine - INFO - Epoch(train) [20][1200/3757] lr: 1.000e-02 eta: 22:16:05 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.7445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2909 loss: 2.2909 2022/06/28 00:45:20 - mmengine - INFO - Epoch(train) [20][1220/3757] lr: 1.000e-02 eta: 22:16:00 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1811 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.4158 loss: 2.4158 2022/06/28 00:45:25 - mmengine - INFO - Epoch(train) [20][1240/3757] lr: 1.000e-02 eta: 22:15:55 time: 0.660 data_time: 0.006 memory: 5150 grad_norm: 5.7115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4458 loss: 2.4458 2022/06/28 00:45:30 - mmengine - INFO - Epoch(train) [20][1260/3757] lr: 1.000e-02 eta: 22:15:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8006 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3737 loss: 2.3737 2022/06/28 00:45:36 - mmengine - INFO - Epoch(train) [20][1280/3757] lr: 1.000e-02 eta: 22:15:43 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.6494 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1672 loss: 2.1672 2022/06/28 00:45:41 - mmengine - INFO - Epoch(train) [20][1300/3757] lr: 1.000e-02 eta: 22:15:38 time: 0.296 data_time: 0.010 memory: 5150 grad_norm: 5.9257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0320 loss: 2.0320 2022/06/28 00:45:47 - mmengine - INFO - Epoch(train) [20][1320/3757] lr: 1.000e-02 eta: 22:15:35 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.8813 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2194 loss: 2.2194 2022/06/28 00:45:52 - mmengine - INFO - Epoch(train) [20][1340/3757] lr: 1.000e-02 eta: 22:15:28 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.8844 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1341 loss: 2.1341 2022/06/28 00:45:57 - mmengine - INFO - Epoch(train) [20][1360/3757] lr: 1.000e-02 eta: 22:15:24 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 5.3639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1971 loss: 2.1971 2022/06/28 00:46:03 - mmengine - INFO - Epoch(train) [20][1380/3757] lr: 1.000e-02 eta: 22:15:19 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.7531 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3169 loss: 2.3169 2022/06/28 00:46:08 - mmengine - INFO - Epoch(train) [20][1400/3757] lr: 1.000e-02 eta: 22:15:13 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.9340 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4020 loss: 2.4020 2022/06/28 00:46:13 - mmengine - INFO - Epoch(train) [20][1420/3757] lr: 1.000e-02 eta: 22:15:07 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.8194 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0377 loss: 2.0377 2022/06/28 00:46:19 - mmengine - INFO - Epoch(train) [20][1440/3757] lr: 1.000e-02 eta: 22:15:03 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3543 loss: 2.3543 2022/06/28 00:46:23 - mmengine - INFO - Epoch(train) [20][1460/3757] lr: 1.000e-02 eta: 22:14:54 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.0462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1096 loss: 2.1096 2022/06/28 00:46:29 - mmengine - INFO - Epoch(train) [20][1480/3757] lr: 1.000e-02 eta: 22:14:50 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9801 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4572 loss: 2.4572 2022/06/28 00:46:34 - mmengine - INFO - Epoch(train) [20][1500/3757] lr: 1.000e-02 eta: 22:14:44 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.0976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3322 loss: 2.3322 2022/06/28 00:46:39 - mmengine - INFO - Epoch(train) [20][1520/3757] lr: 1.000e-02 eta: 22:14:38 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 5.7279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0167 loss: 2.0167 2022/06/28 00:46:45 - mmengine - INFO - Epoch(train) [20][1540/3757] lr: 1.000e-02 eta: 22:14:34 time: 0.675 data_time: 0.007 memory: 5150 grad_norm: 5.0566 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2726 loss: 2.2726 2022/06/28 00:46:49 - mmengine - INFO - Epoch(train) [20][1560/3757] lr: 1.000e-02 eta: 22:14:27 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.6134 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1329 loss: 2.1329 2022/06/28 00:46:54 - mmengine - INFO - Epoch(train) [20][1580/3757] lr: 1.000e-02 eta: 22:14:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1840 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2860 loss: 2.2860 2022/06/28 00:47:00 - mmengine - INFO - Epoch(train) [20][1600/3757] lr: 1.000e-02 eta: 22:14:17 time: 0.766 data_time: 0.006 memory: 5150 grad_norm: 5.6266 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1976 loss: 2.1976 2022/06/28 00:47:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:47:05 - mmengine - INFO - Epoch(train) [20][1620/3757] lr: 1.000e-02 eta: 22:14:10 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5111 loss: 2.5111 2022/06/28 00:47:10 - mmengine - INFO - Epoch(train) [20][1640/3757] lr: 1.000e-02 eta: 22:14:05 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3448 loss: 2.3448 2022/06/28 00:47:16 - mmengine - INFO - Epoch(train) [20][1660/3757] lr: 1.000e-02 eta: 22:14:01 time: 1.039 data_time: 0.007 memory: 5150 grad_norm: 5.3674 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1946 loss: 2.1946 2022/06/28 00:47:21 - mmengine - INFO - Epoch(train) [20][1680/3757] lr: 1.000e-02 eta: 22:13:53 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5546 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.6093 loss: 2.6093 2022/06/28 00:47:26 - mmengine - INFO - Epoch(train) [20][1700/3757] lr: 1.000e-02 eta: 22:13:50 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.6224 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3744 loss: 2.3744 2022/06/28 00:47:31 - mmengine - INFO - Epoch(train) [20][1720/3757] lr: 1.000e-02 eta: 22:13:41 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.8007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2577 loss: 2.2577 2022/06/28 00:47:37 - mmengine - INFO - Epoch(train) [20][1740/3757] lr: 1.000e-02 eta: 22:13:39 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 5.2988 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4128 loss: 2.4128 2022/06/28 00:47:42 - mmengine - INFO - Epoch(train) [20][1760/3757] lr: 1.000e-02 eta: 22:13:34 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 6.5201 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9335 loss: 1.9335 2022/06/28 00:47:47 - mmengine - INFO - Epoch(train) [20][1780/3757] lr: 1.000e-02 eta: 22:13:28 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 4.6199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2298 loss: 2.2298 2022/06/28 00:47:53 - mmengine - INFO - Epoch(train) [20][1800/3757] lr: 1.000e-02 eta: 22:13:22 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.0460 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6787 loss: 2.6787 2022/06/28 00:47:58 - mmengine - INFO - Epoch(train) [20][1820/3757] lr: 1.000e-02 eta: 22:13:17 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7901 loss: 1.7901 2022/06/28 00:48:03 - mmengine - INFO - Epoch(train) [20][1840/3757] lr: 1.000e-02 eta: 22:13:10 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.1596 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0744 loss: 2.0744 2022/06/28 00:48:09 - mmengine - INFO - Epoch(train) [20][1860/3757] lr: 1.000e-02 eta: 22:13:08 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7584 loss: 2.7584 2022/06/28 00:48:14 - mmengine - INFO - Epoch(train) [20][1880/3757] lr: 1.000e-02 eta: 22:13:03 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.8145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1588 loss: 2.1588 2022/06/28 00:48:19 - mmengine - INFO - Epoch(train) [20][1900/3757] lr: 1.000e-02 eta: 22:12:56 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.8158 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3863 loss: 2.3863 2022/06/28 00:48:24 - mmengine - INFO - Epoch(train) [20][1920/3757] lr: 1.000e-02 eta: 22:12:50 time: 0.219 data_time: 0.012 memory: 5150 grad_norm: 5.5154 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1407 loss: 2.1407 2022/06/28 00:48:30 - mmengine - INFO - Epoch(train) [20][1940/3757] lr: 1.000e-02 eta: 22:12:45 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9473 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.6569 loss: 2.6569 2022/06/28 00:48:34 - mmengine - INFO - Epoch(train) [20][1960/3757] lr: 1.000e-02 eta: 22:12:38 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2251 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2378 loss: 2.2378 2022/06/28 00:48:40 - mmengine - INFO - Epoch(train) [20][1980/3757] lr: 1.000e-02 eta: 22:12:33 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.5609 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9978 loss: 1.9978 2022/06/28 00:48:46 - mmengine - INFO - Epoch(train) [20][2000/3757] lr: 1.000e-02 eta: 22:12:30 time: 0.323 data_time: 0.006 memory: 5150 grad_norm: 4.7406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2301 loss: 2.2301 2022/06/28 00:48:51 - mmengine - INFO - Epoch(train) [20][2020/3757] lr: 1.000e-02 eta: 22:12:23 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.2191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7835 loss: 1.7835 2022/06/28 00:48:56 - mmengine - INFO - Epoch(train) [20][2040/3757] lr: 1.000e-02 eta: 22:12:17 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1539 loss: 2.1539 2022/06/28 00:49:02 - mmengine - INFO - Epoch(train) [20][2060/3757] lr: 1.000e-02 eta: 22:12:15 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.1086 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2143 loss: 2.2143 2022/06/28 00:49:07 - mmengine - INFO - Epoch(train) [20][2080/3757] lr: 1.000e-02 eta: 22:12:10 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 4.8215 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8048 loss: 1.8048 2022/06/28 00:49:12 - mmengine - INFO - Epoch(train) [20][2100/3757] lr: 1.000e-02 eta: 22:12:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9095 loss: 1.9095 2022/06/28 00:49:18 - mmengine - INFO - Epoch(train) [20][2120/3757] lr: 1.000e-02 eta: 22:11:59 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.4653 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.8572 loss: 2.8572 2022/06/28 00:49:23 - mmengine - INFO - Epoch(train) [20][2140/3757] lr: 1.000e-02 eta: 22:11:53 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.5964 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9977 loss: 1.9977 2022/06/28 00:49:28 - mmengine - INFO - Epoch(train) [20][2160/3757] lr: 1.000e-02 eta: 22:11:49 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 5.1190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0337 loss: 2.0337 2022/06/28 00:49:34 - mmengine - INFO - Epoch(train) [20][2180/3757] lr: 1.000e-02 eta: 22:11:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3898 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9839 loss: 1.9839 2022/06/28 00:49:39 - mmengine - INFO - Epoch(train) [20][2200/3757] lr: 1.000e-02 eta: 22:11:39 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.4284 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2219 loss: 2.2219 2022/06/28 00:49:44 - mmengine - INFO - Epoch(train) [20][2220/3757] lr: 1.000e-02 eta: 22:11:34 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.8122 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9367 loss: 1.9367 2022/06/28 00:49:50 - mmengine - INFO - Epoch(train) [20][2240/3757] lr: 1.000e-02 eta: 22:11:31 time: 0.193 data_time: 0.017 memory: 5150 grad_norm: 5.1885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3648 loss: 2.3648 2022/06/28 00:49:55 - mmengine - INFO - Epoch(train) [20][2260/3757] lr: 1.000e-02 eta: 22:11:23 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 5.4651 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0626 loss: 2.0626 2022/06/28 00:50:00 - mmengine - INFO - Epoch(train) [20][2280/3757] lr: 1.000e-02 eta: 22:11:18 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.3143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9274 loss: 1.9274 2022/06/28 00:50:06 - mmengine - INFO - Epoch(train) [20][2300/3757] lr: 1.000e-02 eta: 22:11:16 time: 0.426 data_time: 0.023 memory: 5150 grad_norm: 5.0300 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8879 loss: 1.8879 2022/06/28 00:50:11 - mmengine - INFO - Epoch(train) [20][2320/3757] lr: 1.000e-02 eta: 22:11:07 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 4.9354 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8256 loss: 1.8256 2022/06/28 00:50:17 - mmengine - INFO - Epoch(train) [20][2340/3757] lr: 1.000e-02 eta: 22:11:04 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0483 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4178 loss: 2.4178 2022/06/28 00:50:23 - mmengine - INFO - Epoch(train) [20][2360/3757] lr: 1.000e-02 eta: 22:11:01 time: 1.237 data_time: 0.007 memory: 5150 grad_norm: 5.4889 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3634 loss: 2.3634 2022/06/28 00:50:27 - mmengine - INFO - Epoch(train) [20][2380/3757] lr: 1.000e-02 eta: 22:10:53 time: 0.192 data_time: 0.019 memory: 5150 grad_norm: 5.1593 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3275 loss: 2.3275 2022/06/28 00:50:32 - mmengine - INFO - Epoch(train) [20][2400/3757] lr: 1.000e-02 eta: 22:10:47 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.0698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0365 loss: 2.0365 2022/06/28 00:50:38 - mmengine - INFO - Epoch(train) [20][2420/3757] lr: 1.000e-02 eta: 22:10:43 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.3271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9879 loss: 1.9879 2022/06/28 00:50:42 - mmengine - INFO - Epoch(train) [20][2440/3757] lr: 1.000e-02 eta: 22:10:34 time: 0.197 data_time: 0.022 memory: 5150 grad_norm: 5.8553 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1651 loss: 2.1651 2022/06/28 00:50:49 - mmengine - INFO - Epoch(train) [20][2460/3757] lr: 1.000e-02 eta: 22:10:34 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.0613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8356 loss: 1.8356 2022/06/28 00:50:54 - mmengine - INFO - Epoch(train) [20][2480/3757] lr: 1.000e-02 eta: 22:10:27 time: 0.224 data_time: 0.015 memory: 5150 grad_norm: 6.3936 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/06/28 00:50:58 - mmengine - INFO - Epoch(train) [20][2500/3757] lr: 1.000e-02 eta: 22:10:19 time: 0.221 data_time: 0.040 memory: 5150 grad_norm: 5.5158 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3439 loss: 2.3439 2022/06/28 00:51:04 - mmengine - INFO - Epoch(train) [20][2520/3757] lr: 1.000e-02 eta: 22:10:16 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4624 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9957 loss: 1.9957 2022/06/28 00:51:10 - mmengine - INFO - Epoch(train) [20][2540/3757] lr: 1.000e-02 eta: 22:10:13 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0207 loss: 2.0207 2022/06/28 00:51:15 - mmengine - INFO - Epoch(train) [20][2560/3757] lr: 1.000e-02 eta: 22:10:05 time: 0.197 data_time: 0.023 memory: 5150 grad_norm: 5.4906 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9154 loss: 1.9154 2022/06/28 00:51:20 - mmengine - INFO - Epoch(train) [20][2580/3757] lr: 1.000e-02 eta: 22:10:01 time: 0.191 data_time: 0.013 memory: 5150 grad_norm: 5.1045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2568 loss: 2.2568 2022/06/28 00:51:25 - mmengine - INFO - Epoch(train) [20][2600/3757] lr: 1.000e-02 eta: 22:09:55 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6731 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1308 loss: 2.1308 2022/06/28 00:51:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:51:31 - mmengine - INFO - Epoch(train) [20][2620/3757] lr: 1.000e-02 eta: 22:09:50 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 4.7379 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2288 loss: 2.2288 2022/06/28 00:51:36 - mmengine - INFO - Epoch(train) [20][2640/3757] lr: 1.000e-02 eta: 22:09:43 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.1255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9754 loss: 1.9754 2022/06/28 00:51:41 - mmengine - INFO - Epoch(train) [20][2660/3757] lr: 1.000e-02 eta: 22:09:39 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.3636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9038 loss: 1.9038 2022/06/28 00:51:46 - mmengine - INFO - Epoch(train) [20][2680/3757] lr: 1.000e-02 eta: 22:09:33 time: 0.204 data_time: 0.031 memory: 5150 grad_norm: 5.2027 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9239 loss: 1.9239 2022/06/28 00:51:52 - mmengine - INFO - Epoch(train) [20][2700/3757] lr: 1.000e-02 eta: 22:09:29 time: 0.188 data_time: 0.018 memory: 5150 grad_norm: 6.1508 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4267 loss: 2.4267 2022/06/28 00:51:57 - mmengine - INFO - Epoch(train) [20][2720/3757] lr: 1.000e-02 eta: 22:09:23 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.0028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9525 loss: 1.9525 2022/06/28 00:52:02 - mmengine - INFO - Epoch(train) [20][2740/3757] lr: 1.000e-02 eta: 22:09:17 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.3896 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2125 loss: 2.2125 2022/06/28 00:52:08 - mmengine - INFO - Epoch(train) [20][2760/3757] lr: 1.000e-02 eta: 22:09:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.6834 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9221 loss: 1.9221 2022/06/28 00:52:13 - mmengine - INFO - Epoch(train) [20][2780/3757] lr: 1.000e-02 eta: 22:09:09 time: 0.480 data_time: 0.007 memory: 5150 grad_norm: 4.5862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1313 loss: 2.1313 2022/06/28 00:52:18 - mmengine - INFO - Epoch(train) [20][2800/3757] lr: 1.000e-02 eta: 22:09:02 time: 0.197 data_time: 0.023 memory: 5150 grad_norm: 5.2345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2015 loss: 2.2015 2022/06/28 00:52:24 - mmengine - INFO - Epoch(train) [20][2820/3757] lr: 1.000e-02 eta: 22:08:58 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1737 loss: 2.1737 2022/06/28 00:52:29 - mmengine - INFO - Epoch(train) [20][2840/3757] lr: 1.000e-02 eta: 22:08:53 time: 0.383 data_time: 0.006 memory: 5150 grad_norm: 5.4344 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3688 loss: 2.3688 2022/06/28 00:52:35 - mmengine - INFO - Epoch(train) [20][2860/3757] lr: 1.000e-02 eta: 22:08:48 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.4021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9356 loss: 1.9356 2022/06/28 00:52:40 - mmengine - INFO - Epoch(train) [20][2880/3757] lr: 1.000e-02 eta: 22:08:43 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.4520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2390 loss: 2.2390 2022/06/28 00:52:46 - mmengine - INFO - Epoch(train) [20][2900/3757] lr: 1.000e-02 eta: 22:08:39 time: 0.639 data_time: 0.006 memory: 5150 grad_norm: 6.0006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3001 loss: 2.3001 2022/06/28 00:52:50 - mmengine - INFO - Epoch(train) [20][2920/3757] lr: 1.000e-02 eta: 22:08:32 time: 0.201 data_time: 0.027 memory: 5150 grad_norm: 5.3859 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0713 loss: 2.0713 2022/06/28 00:52:56 - mmengine - INFO - Epoch(train) [20][2940/3757] lr: 1.000e-02 eta: 22:08:27 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3629 loss: 2.3629 2022/06/28 00:53:02 - mmengine - INFO - Epoch(train) [20][2960/3757] lr: 1.000e-02 eta: 22:08:23 time: 0.411 data_time: 0.011 memory: 5150 grad_norm: 6.0038 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1458 loss: 2.1458 2022/06/28 00:53:07 - mmengine - INFO - Epoch(train) [20][2980/3757] lr: 1.000e-02 eta: 22:08:17 time: 0.206 data_time: 0.034 memory: 5150 grad_norm: 4.6778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0087 loss: 2.0087 2022/06/28 00:53:12 - mmengine - INFO - Epoch(train) [20][3000/3757] lr: 1.000e-02 eta: 22:08:12 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.7617 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3843 loss: 2.3843 2022/06/28 00:53:17 - mmengine - INFO - Epoch(train) [20][3020/3757] lr: 1.000e-02 eta: 22:08:06 time: 0.276 data_time: 0.007 memory: 5150 grad_norm: 5.2412 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8647 loss: 1.8647 2022/06/28 00:53:22 - mmengine - INFO - Epoch(train) [20][3040/3757] lr: 1.000e-02 eta: 22:08:01 time: 0.202 data_time: 0.027 memory: 5150 grad_norm: 5.0508 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0889 loss: 2.0889 2022/06/28 00:53:28 - mmengine - INFO - Epoch(train) [20][3060/3757] lr: 1.000e-02 eta: 22:07:57 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5111 loss: 2.5111 2022/06/28 00:53:33 - mmengine - INFO - Epoch(train) [20][3080/3757] lr: 1.000e-02 eta: 22:07:52 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 5.2836 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0324 loss: 2.0324 2022/06/28 00:53:38 - mmengine - INFO - Epoch(train) [20][3100/3757] lr: 1.000e-02 eta: 22:07:46 time: 0.203 data_time: 0.029 memory: 5150 grad_norm: 5.3610 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1458 loss: 2.1458 2022/06/28 00:53:44 - mmengine - INFO - Epoch(train) [20][3120/3757] lr: 1.000e-02 eta: 22:07:42 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.6746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1754 loss: 2.1754 2022/06/28 00:53:49 - mmengine - INFO - Epoch(train) [20][3140/3757] lr: 1.000e-02 eta: 22:07:35 time: 0.266 data_time: 0.007 memory: 5150 grad_norm: 6.6078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0685 loss: 2.0685 2022/06/28 00:53:55 - mmengine - INFO - Epoch(train) [20][3160/3757] lr: 1.000e-02 eta: 22:07:32 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 5.6952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/06/28 00:54:00 - mmengine - INFO - Epoch(train) [20][3180/3757] lr: 1.000e-02 eta: 22:07:26 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.4898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4894 loss: 2.4894 2022/06/28 00:54:05 - mmengine - INFO - Epoch(train) [20][3200/3757] lr: 1.000e-02 eta: 22:07:20 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4720 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1556 loss: 2.1556 2022/06/28 00:54:10 - mmengine - INFO - Epoch(train) [20][3220/3757] lr: 1.000e-02 eta: 22:07:15 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.4991 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5662 loss: 2.5662 2022/06/28 00:54:17 - mmengine - INFO - Epoch(train) [20][3240/3757] lr: 1.000e-02 eta: 22:07:14 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.7513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.8011 loss: 2.8011 2022/06/28 00:54:22 - mmengine - INFO - Epoch(train) [20][3260/3757] lr: 1.000e-02 eta: 22:07:07 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.2474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0273 loss: 2.0273 2022/06/28 00:54:27 - mmengine - INFO - Epoch(train) [20][3280/3757] lr: 1.000e-02 eta: 22:07:02 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 4.8585 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8826 loss: 1.8826 2022/06/28 00:54:32 - mmengine - INFO - Epoch(train) [20][3300/3757] lr: 1.000e-02 eta: 22:06:56 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.9295 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8436 loss: 1.8436 2022/06/28 00:54:37 - mmengine - INFO - Epoch(train) [20][3320/3757] lr: 1.000e-02 eta: 22:06:49 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.1896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1539 loss: 2.1539 2022/06/28 00:54:43 - mmengine - INFO - Epoch(train) [20][3340/3757] lr: 1.000e-02 eta: 22:06:48 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 4.8291 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2301 loss: 2.2301 2022/06/28 00:54:49 - mmengine - INFO - Epoch(train) [20][3360/3757] lr: 1.000e-02 eta: 22:06:43 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.8395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4758 loss: 2.4758 2022/06/28 00:54:54 - mmengine - INFO - Epoch(train) [20][3380/3757] lr: 1.000e-02 eta: 22:06:36 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.9044 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0037 loss: 2.0037 2022/06/28 00:54:59 - mmengine - INFO - Epoch(train) [20][3400/3757] lr: 1.000e-02 eta: 22:06:31 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4171 loss: 2.4171 2022/06/28 00:55:05 - mmengine - INFO - Epoch(train) [20][3420/3757] lr: 1.000e-02 eta: 22:06:28 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.5860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9738 loss: 1.9738 2022/06/28 00:55:10 - mmengine - INFO - Epoch(train) [20][3440/3757] lr: 1.000e-02 eta: 22:06:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.9232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7543 loss: 1.7543 2022/06/28 00:55:15 - mmengine - INFO - Epoch(train) [20][3460/3757] lr: 1.000e-02 eta: 22:06:14 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.6452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1911 loss: 2.1911 2022/06/28 00:55:20 - mmengine - INFO - Epoch(train) [20][3480/3757] lr: 1.000e-02 eta: 22:06:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9995 loss: 1.9995 2022/06/28 00:55:25 - mmengine - INFO - Epoch(train) [20][3500/3757] lr: 1.000e-02 eta: 22:06:02 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.3479 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6978 loss: 2.6978 2022/06/28 00:55:30 - mmengine - INFO - Epoch(train) [20][3520/3757] lr: 1.000e-02 eta: 22:05:56 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 5.7867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4785 loss: 2.4785 2022/06/28 00:55:36 - mmengine - INFO - Epoch(train) [20][3540/3757] lr: 1.000e-02 eta: 22:05:52 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0169 loss: 2.0169 2022/06/28 00:55:41 - mmengine - INFO - Epoch(train) [20][3560/3757] lr: 1.000e-02 eta: 22:05:47 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 6.0539 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0656 loss: 2.0656 2022/06/28 00:55:47 - mmengine - INFO - Epoch(train) [20][3580/3757] lr: 1.000e-02 eta: 22:05:45 time: 0.799 data_time: 0.061 memory: 5150 grad_norm: 5.2474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9158 loss: 1.9158 2022/06/28 00:55:52 - mmengine - INFO - Epoch(train) [20][3600/3757] lr: 1.000e-02 eta: 22:05:38 time: 0.190 data_time: 0.012 memory: 5150 grad_norm: 6.0825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8480 loss: 1.8480 2022/06/28 00:55:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:55:57 - mmengine - INFO - Epoch(train) [20][3620/3757] lr: 1.000e-02 eta: 22:05:32 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.1431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9757 loss: 1.9757 2022/06/28 00:56:03 - mmengine - INFO - Epoch(train) [20][3640/3757] lr: 1.000e-02 eta: 22:05:28 time: 0.193 data_time: 0.020 memory: 5150 grad_norm: 6.1387 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1897 loss: 2.1897 2022/06/28 00:56:08 - mmengine - INFO - Epoch(train) [20][3660/3757] lr: 1.000e-02 eta: 22:05:24 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 5.9669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3016 loss: 2.3016 2022/06/28 00:56:13 - mmengine - INFO - Epoch(train) [20][3680/3757] lr: 1.000e-02 eta: 22:05:17 time: 0.215 data_time: 0.015 memory: 5150 grad_norm: 5.8351 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3680 loss: 2.3680 2022/06/28 00:56:19 - mmengine - INFO - Epoch(train) [20][3700/3757] lr: 1.000e-02 eta: 22:05:12 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.9690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9226 loss: 1.9226 2022/06/28 00:56:25 - mmengine - INFO - Epoch(train) [20][3720/3757] lr: 1.000e-02 eta: 22:05:10 time: 0.877 data_time: 0.007 memory: 5150 grad_norm: 5.6755 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1972 loss: 2.1972 2022/06/28 00:56:29 - mmengine - INFO - Epoch(train) [20][3740/3757] lr: 1.000e-02 eta: 22:05:02 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 5.5970 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0621 loss: 2.0621 2022/06/28 00:56:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 00:56:33 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/06/28 00:57:08 - mmengine - INFO - Epoch(val) [20][20/310] eta: 0:05:42 time: 0.905 data_time: 0.254 memory: 9746 2022/06/28 00:57:30 - mmengine - INFO - Epoch(val) [20][40/310] eta: 0:04:42 time: 0.890 data_time: 0.238 memory: 9746 2022/06/28 00:57:53 - mmengine - INFO - Epoch(val) [20][60/310] eta: 0:04:22 time: 1.068 data_time: 0.436 memory: 9746 2022/06/28 00:58:16 - mmengine - INFO - Epoch(val) [20][80/310] eta: 0:04:35 time: 1.099 data_time: 0.453 memory: 9746 2022/06/28 00:58:40 - mmengine - INFO - Epoch(val) [20][100/310] eta: 0:04:04 time: 2.204 data_time: 1.507 memory: 9746 2022/06/28 00:59:02 - mmengine - INFO - Epoch(val) [20][120/310] eta: 0:03:27 time: 1.100 data_time: 0.451 memory: 9746 2022/06/28 00:59:25 - mmengine - INFO - Epoch(val) [20][140/310] eta: 0:03:14 time: 1.155 data_time: 0.509 memory: 9746 2022/06/28 00:59:49 - mmengine - INFO - Epoch(val) [20][160/310] eta: 0:03:17 time: 3.526 data_time: 2.831 memory: 9746 2022/06/28 01:00:13 - mmengine - INFO - Epoch(val) [20][180/310] eta: 0:02:52 time: 1.070 data_time: 0.409 memory: 9746 2022/06/28 01:00:36 - mmengine - INFO - Epoch(val) [20][200/310] eta: 0:02:10 time: 1.102 data_time: 0.464 memory: 9746 2022/06/28 01:00:57 - mmengine - INFO - Epoch(val) [20][220/310] eta: 0:01:37 time: 1.017 data_time: 0.391 memory: 9746 2022/06/28 01:01:18 - mmengine - INFO - Epoch(val) [20][240/310] eta: 0:01:14 time: 1.111 data_time: 0.463 memory: 9746 2022/06/28 01:01:41 - mmengine - INFO - Epoch(val) [20][260/310] eta: 0:00:58 time: 1.042 data_time: 0.395 memory: 9746 2022/06/28 01:02:05 - mmengine - INFO - Epoch(val) [20][280/310] eta: 0:00:35 time: 2.515 data_time: 1.844 memory: 9746 2022/06/28 01:02:24 - mmengine - INFO - Epoch(val) [20][300/310] eta: 0:00:08 time: 0.626 data_time: 0.064 memory: 9746 2022/06/28 01:02:34 - mmengine - INFO - Epoch(val) [20][310/310] acc/top1: 0.5971 acc/top5: 0.8347 acc/mean1: 0.5970 2022/06/28 01:02:43 - mmengine - INFO - Epoch(train) [21][20/3757] lr: 1.000e-02 eta: 22:04:54 time: 0.194 data_time: 0.013 memory: 9746 grad_norm: 5.6222 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0659 loss: 2.0659 2022/06/28 01:02:48 - mmengine - INFO - Epoch(train) [21][40/3757] lr: 1.000e-02 eta: 22:04:50 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.3314 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0086 loss: 2.0086 2022/06/28 01:02:53 - mmengine - INFO - Epoch(train) [21][60/3757] lr: 1.000e-02 eta: 22:04:42 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.5438 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1648 loss: 2.1648 2022/06/28 01:02:59 - mmengine - INFO - Epoch(train) [21][80/3757] lr: 1.000e-02 eta: 22:04:42 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.2954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8151 loss: 1.8151 2022/06/28 01:03:05 - mmengine - INFO - Epoch(train) [21][100/3757] lr: 1.000e-02 eta: 22:04:36 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.5133 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1360 loss: 2.1360 2022/06/28 01:03:09 - mmengine - INFO - Epoch(train) [21][120/3757] lr: 1.000e-02 eta: 22:04:28 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.4096 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3118 loss: 2.3118 2022/06/28 01:03:14 - mmengine - INFO - Epoch(train) [21][140/3757] lr: 1.000e-02 eta: 22:04:22 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.2746 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2289 loss: 2.2289 2022/06/28 01:03:20 - mmengine - INFO - Epoch(train) [21][160/3757] lr: 1.000e-02 eta: 22:04:19 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.7029 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8542 loss: 1.8542 2022/06/28 01:03:25 - mmengine - INFO - Epoch(train) [21][180/3757] lr: 1.000e-02 eta: 22:04:11 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 4.8243 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0203 loss: 2.0203 2022/06/28 01:03:31 - mmengine - INFO - Epoch(train) [21][200/3757] lr: 1.000e-02 eta: 22:04:09 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9276 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4936 loss: 2.4936 2022/06/28 01:03:37 - mmengine - INFO - Epoch(train) [21][220/3757] lr: 1.000e-02 eta: 22:04:05 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9943 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0184 loss: 2.0184 2022/06/28 01:03:41 - mmengine - INFO - Epoch(train) [21][240/3757] lr: 1.000e-02 eta: 22:03:58 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.0462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9758 loss: 1.9758 2022/06/28 01:03:47 - mmengine - INFO - Epoch(train) [21][260/3757] lr: 1.000e-02 eta: 22:03:54 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.7275 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3019 loss: 2.3019 2022/06/28 01:03:52 - mmengine - INFO - Epoch(train) [21][280/3757] lr: 1.000e-02 eta: 22:03:49 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.7097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0575 loss: 2.0575 2022/06/28 01:03:58 - mmengine - INFO - Epoch(train) [21][300/3757] lr: 1.000e-02 eta: 22:03:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.9034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2576 loss: 2.2576 2022/06/28 01:04:03 - mmengine - INFO - Epoch(train) [21][320/3757] lr: 1.000e-02 eta: 22:03:38 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.1976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/06/28 01:04:08 - mmengine - INFO - Epoch(train) [21][340/3757] lr: 1.000e-02 eta: 22:03:33 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 4.9271 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2079 loss: 2.2079 2022/06/28 01:04:13 - mmengine - INFO - Epoch(train) [21][360/3757] lr: 1.000e-02 eta: 22:03:27 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.6946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3951 loss: 2.3951 2022/06/28 01:04:19 - mmengine - INFO - Epoch(train) [21][380/3757] lr: 1.000e-02 eta: 22:03:24 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6952 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8169 loss: 1.8169 2022/06/28 01:04:25 - mmengine - INFO - Epoch(train) [21][400/3757] lr: 1.000e-02 eta: 22:03:19 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.4154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8343 loss: 1.8343 2022/06/28 01:04:30 - mmengine - INFO - Epoch(train) [21][420/3757] lr: 1.000e-02 eta: 22:03:14 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.3265 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5919 loss: 1.5919 2022/06/28 01:04:35 - mmengine - INFO - Epoch(train) [21][440/3757] lr: 1.000e-02 eta: 22:03:07 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3624 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2955 loss: 2.2955 2022/06/28 01:04:40 - mmengine - INFO - Epoch(train) [21][460/3757] lr: 1.000e-02 eta: 22:03:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0342 loss: 2.0342 2022/06/28 01:04:45 - mmengine - INFO - Epoch(train) [21][480/3757] lr: 1.000e-02 eta: 22:02:54 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 5.1713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2313 loss: 2.2313 2022/06/28 01:04:51 - mmengine - INFO - Epoch(train) [21][500/3757] lr: 1.000e-02 eta: 22:02:52 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.8817 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5123 loss: 2.5123 2022/06/28 01:04:57 - mmengine - INFO - Epoch(train) [21][520/3757] lr: 1.000e-02 eta: 22:02:48 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.8646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1686 loss: 2.1686 2022/06/28 01:05:01 - mmengine - INFO - Epoch(train) [21][540/3757] lr: 1.000e-02 eta: 22:02:41 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 4.9220 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2627 loss: 2.2627 2022/06/28 01:05:07 - mmengine - INFO - Epoch(train) [21][560/3757] lr: 1.000e-02 eta: 22:02:37 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.6206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5971 loss: 2.5971 2022/06/28 01:05:12 - mmengine - INFO - Epoch(train) [21][580/3757] lr: 1.000e-02 eta: 22:02:31 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7145 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1696 loss: 2.1696 2022/06/28 01:05:17 - mmengine - INFO - Epoch(train) [21][600/3757] lr: 1.000e-02 eta: 22:02:25 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 4.7463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8820 loss: 1.8820 2022/06/28 01:05:23 - mmengine - INFO - Epoch(train) [21][620/3757] lr: 1.000e-02 eta: 22:02:21 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.6581 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3529 loss: 2.3529 2022/06/28 01:05:29 - mmengine - INFO - Epoch(train) [21][640/3757] lr: 1.000e-02 eta: 22:02:17 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.8904 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2650 loss: 2.2650 2022/06/28 01:05:33 - mmengine - INFO - Epoch(train) [21][660/3757] lr: 1.000e-02 eta: 22:02:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3740 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/06/28 01:05:39 - mmengine - INFO - Epoch(train) [21][680/3757] lr: 1.000e-02 eta: 22:02:06 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.6838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1201 loss: 2.1201 2022/06/28 01:05:45 - mmengine - INFO - Epoch(train) [21][700/3757] lr: 1.000e-02 eta: 22:02:03 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6138 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8552 loss: 1.8552 2022/06/28 01:05:50 - mmengine - INFO - Epoch(train) [21][720/3757] lr: 1.000e-02 eta: 22:01:56 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1041 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9748 loss: 1.9748 2022/06/28 01:05:55 - mmengine - INFO - Epoch(train) [21][740/3757] lr: 1.000e-02 eta: 22:01:52 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.8278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6706 loss: 1.6706 2022/06/28 01:06:01 - mmengine - INFO - Epoch(train) [21][760/3757] lr: 1.000e-02 eta: 22:01:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7576 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1622 loss: 2.1622 2022/06/28 01:06:05 - mmengine - INFO - Epoch(train) [21][780/3757] lr: 1.000e-02 eta: 22:01:38 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.8671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2867 loss: 2.2867 2022/06/28 01:06:11 - mmengine - INFO - Epoch(train) [21][800/3757] lr: 1.000e-02 eta: 22:01:34 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6575 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8264 loss: 1.8264 2022/06/28 01:06:17 - mmengine - INFO - Epoch(train) [21][820/3757] lr: 1.000e-02 eta: 22:01:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.0857 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9940 loss: 1.9940 2022/06/28 01:06:22 - mmengine - INFO - Epoch(train) [21][840/3757] lr: 1.000e-02 eta: 22:01:25 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.9182 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9489 loss: 1.9489 2022/06/28 01:06:28 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:06:28 - mmengine - INFO - Epoch(train) [21][860/3757] lr: 1.000e-02 eta: 22:01:22 time: 0.251 data_time: 0.008 memory: 5150 grad_norm: 5.7373 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9424 loss: 1.9424 2022/06/28 01:06:33 - mmengine - INFO - Epoch(train) [21][880/3757] lr: 1.000e-02 eta: 22:01:17 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.2408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4955 loss: 2.4955 2022/06/28 01:06:38 - mmengine - INFO - Epoch(train) [21][900/3757] lr: 1.000e-02 eta: 22:01:10 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5733 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4346 loss: 2.4346 2022/06/28 01:06:43 - mmengine - INFO - Epoch(train) [21][920/3757] lr: 1.000e-02 eta: 22:01:06 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2616 loss: 2.2616 2022/06/28 01:06:49 - mmengine - INFO - Epoch(train) [21][940/3757] lr: 1.000e-02 eta: 22:01:00 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6566 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3689 loss: 2.3689 2022/06/28 01:06:53 - mmengine - INFO - Epoch(train) [21][960/3757] lr: 1.000e-02 eta: 22:00:53 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 5.8707 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8237 loss: 1.8237 2022/06/28 01:06:59 - mmengine - INFO - Epoch(train) [21][980/3757] lr: 1.000e-02 eta: 22:00:49 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8078 loss: 1.8078 2022/06/28 01:07:04 - mmengine - INFO - Epoch(train) [21][1000/3757] lr: 1.000e-02 eta: 22:00:42 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1765 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4912 loss: 2.4912 2022/06/28 01:07:10 - mmengine - INFO - Epoch(train) [21][1020/3757] lr: 1.000e-02 eta: 22:00:38 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3458 loss: 2.3458 2022/06/28 01:07:15 - mmengine - INFO - Epoch(train) [21][1040/3757] lr: 1.000e-02 eta: 22:00:33 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.0229 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0745 loss: 2.0745 2022/06/28 01:07:20 - mmengine - INFO - Epoch(train) [21][1060/3757] lr: 1.000e-02 eta: 22:00:26 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8883 loss: 1.8883 2022/06/28 01:07:26 - mmengine - INFO - Epoch(train) [21][1080/3757] lr: 1.000e-02 eta: 22:00:23 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.3696 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8696 loss: 1.8696 2022/06/28 01:07:31 - mmengine - INFO - Epoch(train) [21][1100/3757] lr: 1.000e-02 eta: 22:00:18 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 6.1562 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2270 loss: 2.2270 2022/06/28 01:07:36 - mmengine - INFO - Epoch(train) [21][1120/3757] lr: 1.000e-02 eta: 22:00:11 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.0909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0406 loss: 2.0406 2022/06/28 01:07:42 - mmengine - INFO - Epoch(train) [21][1140/3757] lr: 1.000e-02 eta: 22:00:07 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.6639 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9849 loss: 1.9849 2022/06/28 01:07:47 - mmengine - INFO - Epoch(train) [21][1160/3757] lr: 1.000e-02 eta: 22:00:03 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.5912 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5518 loss: 2.5518 2022/06/28 01:07:52 - mmengine - INFO - Epoch(train) [21][1180/3757] lr: 1.000e-02 eta: 21:59:56 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.5703 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1777 loss: 2.1777 2022/06/28 01:07:57 - mmengine - INFO - Epoch(train) [21][1200/3757] lr: 1.000e-02 eta: 21:59:50 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4124 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5875 loss: 2.5875 2022/06/28 01:08:03 - mmengine - INFO - Epoch(train) [21][1220/3757] lr: 1.000e-02 eta: 21:59:46 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3159 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0388 loss: 2.0388 2022/06/28 01:08:08 - mmengine - INFO - Epoch(train) [21][1240/3757] lr: 1.000e-02 eta: 21:59:43 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 4.9903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7745 loss: 1.7745 2022/06/28 01:08:13 - mmengine - INFO - Epoch(train) [21][1260/3757] lr: 1.000e-02 eta: 21:59:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.1058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2141 loss: 2.2141 2022/06/28 01:08:20 - mmengine - INFO - Epoch(train) [21][1280/3757] lr: 1.000e-02 eta: 21:59:34 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 4.5013 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1656 loss: 2.1656 2022/06/28 01:08:24 - mmengine - INFO - Epoch(train) [21][1300/3757] lr: 1.000e-02 eta: 21:59:26 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.0733 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1933 loss: 2.1933 2022/06/28 01:08:29 - mmengine - INFO - Epoch(train) [21][1320/3757] lr: 1.000e-02 eta: 21:59:19 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 5.1526 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4795 loss: 2.4795 2022/06/28 01:08:35 - mmengine - INFO - Epoch(train) [21][1340/3757] lr: 1.000e-02 eta: 21:59:15 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 4.9535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1393 loss: 2.1393 2022/06/28 01:08:40 - mmengine - INFO - Epoch(train) [21][1360/3757] lr: 1.000e-02 eta: 21:59:09 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 6.1480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3794 loss: 2.3794 2022/06/28 01:08:45 - mmengine - INFO - Epoch(train) [21][1380/3757] lr: 1.000e-02 eta: 21:59:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7794 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3509 loss: 2.3509 2022/06/28 01:08:50 - mmengine - INFO - Epoch(train) [21][1400/3757] lr: 1.000e-02 eta: 21:58:57 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1017 loss: 2.1017 2022/06/28 01:08:56 - mmengine - INFO - Epoch(train) [21][1420/3757] lr: 1.000e-02 eta: 21:58:53 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 7.3026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3812 loss: 2.3812 2022/06/28 01:09:01 - mmengine - INFO - Epoch(train) [21][1440/3757] lr: 1.000e-02 eta: 21:58:48 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7727 loss: 1.7727 2022/06/28 01:09:07 - mmengine - INFO - Epoch(train) [21][1460/3757] lr: 1.000e-02 eta: 21:58:45 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4420 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3616 loss: 2.3616 2022/06/28 01:09:12 - mmengine - INFO - Epoch(train) [21][1480/3757] lr: 1.000e-02 eta: 21:58:39 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 5.5249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0411 loss: 2.0411 2022/06/28 01:09:17 - mmengine - INFO - Epoch(train) [21][1500/3757] lr: 1.000e-02 eta: 21:58:33 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3291 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6240 loss: 2.6240 2022/06/28 01:09:23 - mmengine - INFO - Epoch(train) [21][1520/3757] lr: 1.000e-02 eta: 21:58:30 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.1066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9780 loss: 1.9780 2022/06/28 01:09:28 - mmengine - INFO - Epoch(train) [21][1540/3757] lr: 1.000e-02 eta: 21:58:23 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.8128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2848 loss: 2.2848 2022/06/28 01:09:33 - mmengine - INFO - Epoch(train) [21][1560/3757] lr: 1.000e-02 eta: 21:58:18 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.3744 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2571 loss: 2.2571 2022/06/28 01:09:39 - mmengine - INFO - Epoch(train) [21][1580/3757] lr: 1.000e-02 eta: 21:58:16 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8595 loss: 1.8595 2022/06/28 01:09:44 - mmengine - INFO - Epoch(train) [21][1600/3757] lr: 1.000e-02 eta: 21:58:09 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4628 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7134 loss: 1.7134 2022/06/28 01:09:49 - mmengine - INFO - Epoch(train) [21][1620/3757] lr: 1.000e-02 eta: 21:58:03 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.5109 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.6799 loss: 2.6799 2022/06/28 01:09:55 - mmengine - INFO - Epoch(train) [21][1640/3757] lr: 1.000e-02 eta: 21:58:00 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.0266 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6021 loss: 2.6021 2022/06/28 01:10:00 - mmengine - INFO - Epoch(train) [21][1660/3757] lr: 1.000e-02 eta: 21:57:53 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.1278 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4255 loss: 2.4255 2022/06/28 01:10:05 - mmengine - INFO - Epoch(train) [21][1680/3757] lr: 1.000e-02 eta: 21:57:48 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1271 loss: 2.1271 2022/06/28 01:10:12 - mmengine - INFO - Epoch(train) [21][1700/3757] lr: 1.000e-02 eta: 21:57:46 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9420 loss: 1.9420 2022/06/28 01:10:16 - mmengine - INFO - Epoch(train) [21][1720/3757] lr: 1.000e-02 eta: 21:57:38 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.7696 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6749 loss: 1.6749 2022/06/28 01:10:22 - mmengine - INFO - Epoch(train) [21][1740/3757] lr: 1.000e-02 eta: 21:57:33 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 6.3294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1897 loss: 2.1897 2022/06/28 01:10:27 - mmengine - INFO - Epoch(train) [21][1760/3757] lr: 1.000e-02 eta: 21:57:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1538 loss: 2.1538 2022/06/28 01:10:32 - mmengine - INFO - Epoch(train) [21][1780/3757] lr: 1.000e-02 eta: 21:57:21 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 4.8969 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0940 loss: 2.0940 2022/06/28 01:10:38 - mmengine - INFO - Epoch(train) [21][1800/3757] lr: 1.000e-02 eta: 21:57:18 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.9099 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0149 loss: 2.0149 2022/06/28 01:10:43 - mmengine - INFO - Epoch(train) [21][1820/3757] lr: 1.000e-02 eta: 21:57:12 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.0636 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2583 loss: 2.2583 2022/06/28 01:10:48 - mmengine - INFO - Epoch(train) [21][1840/3757] lr: 1.000e-02 eta: 21:57:05 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.6316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1516 loss: 2.1516 2022/06/28 01:10:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:10:53 - mmengine - INFO - Epoch(train) [21][1860/3757] lr: 1.000e-02 eta: 21:57:00 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.7430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9038 loss: 1.9038 2022/06/28 01:10:59 - mmengine - INFO - Epoch(train) [21][1880/3757] lr: 1.000e-02 eta: 21:56:56 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.5125 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2288 loss: 2.2288 2022/06/28 01:11:04 - mmengine - INFO - Epoch(train) [21][1900/3757] lr: 1.000e-02 eta: 21:56:51 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1338 loss: 2.1338 2022/06/28 01:11:10 - mmengine - INFO - Epoch(train) [21][1920/3757] lr: 1.000e-02 eta: 21:56:47 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4790 loss: 2.4790 2022/06/28 01:11:15 - mmengine - INFO - Epoch(train) [21][1940/3757] lr: 1.000e-02 eta: 21:56:42 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4226 loss: 2.4226 2022/06/28 01:11:21 - mmengine - INFO - Epoch(train) [21][1960/3757] lr: 1.000e-02 eta: 21:56:38 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.6459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9597 loss: 1.9597 2022/06/28 01:11:26 - mmengine - INFO - Epoch(train) [21][1980/3757] lr: 1.000e-02 eta: 21:56:33 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.2884 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2331 loss: 2.2331 2022/06/28 01:11:31 - mmengine - INFO - Epoch(train) [21][2000/3757] lr: 1.000e-02 eta: 21:56:26 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.6981 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3027 loss: 2.3027 2022/06/28 01:11:37 - mmengine - INFO - Epoch(train) [21][2020/3757] lr: 1.000e-02 eta: 21:56:22 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 6.1826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6621 loss: 2.6621 2022/06/28 01:11:42 - mmengine - INFO - Epoch(train) [21][2040/3757] lr: 1.000e-02 eta: 21:56:18 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 5.2882 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9344 loss: 1.9344 2022/06/28 01:11:47 - mmengine - INFO - Epoch(train) [21][2060/3757] lr: 1.000e-02 eta: 21:56:12 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2543 loss: 2.2543 2022/06/28 01:11:53 - mmengine - INFO - Epoch(train) [21][2080/3757] lr: 1.000e-02 eta: 21:56:07 time: 0.249 data_time: 0.007 memory: 5150 grad_norm: 5.3877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9926 loss: 1.9926 2022/06/28 01:11:58 - mmengine - INFO - Epoch(train) [21][2100/3757] lr: 1.000e-02 eta: 21:56:02 time: 0.249 data_time: 0.010 memory: 5150 grad_norm: 5.4406 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1261 loss: 2.1261 2022/06/28 01:12:03 - mmengine - INFO - Epoch(train) [21][2120/3757] lr: 1.000e-02 eta: 21:55:57 time: 0.406 data_time: 0.007 memory: 5150 grad_norm: 5.2744 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8616 loss: 1.8616 2022/06/28 01:12:08 - mmengine - INFO - Epoch(train) [21][2140/3757] lr: 1.000e-02 eta: 21:55:50 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.8373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0437 loss: 2.0437 2022/06/28 01:12:14 - mmengine - INFO - Epoch(train) [21][2160/3757] lr: 1.000e-02 eta: 21:55:45 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.6648 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1598 loss: 2.1598 2022/06/28 01:12:19 - mmengine - INFO - Epoch(train) [21][2180/3757] lr: 1.000e-02 eta: 21:55:40 time: 0.372 data_time: 0.007 memory: 5150 grad_norm: 5.3752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9866 loss: 1.9866 2022/06/28 01:12:24 - mmengine - INFO - Epoch(train) [21][2200/3757] lr: 1.000e-02 eta: 21:55:33 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 5.9090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1233 loss: 2.1233 2022/06/28 01:12:30 - mmengine - INFO - Epoch(train) [21][2220/3757] lr: 1.000e-02 eta: 21:55:30 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 4.7673 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9647 loss: 1.9647 2022/06/28 01:12:35 - mmengine - INFO - Epoch(train) [21][2240/3757] lr: 1.000e-02 eta: 21:55:26 time: 1.020 data_time: 0.010 memory: 5150 grad_norm: 5.5422 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1264 loss: 2.1264 2022/06/28 01:12:41 - mmengine - INFO - Epoch(train) [21][2260/3757] lr: 1.000e-02 eta: 21:55:22 time: 0.233 data_time: 0.067 memory: 5150 grad_norm: 4.5890 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1014 loss: 2.1014 2022/06/28 01:12:45 - mmengine - INFO - Epoch(train) [21][2280/3757] lr: 1.000e-02 eta: 21:55:12 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.3683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7461 loss: 1.7461 2022/06/28 01:12:50 - mmengine - INFO - Epoch(train) [21][2300/3757] lr: 1.000e-02 eta: 21:55:07 time: 0.962 data_time: 0.007 memory: 5150 grad_norm: 5.9283 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4828 loss: 2.4828 2022/06/28 01:12:56 - mmengine - INFO - Epoch(train) [21][2320/3757] lr: 1.000e-02 eta: 21:55:01 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1881 loss: 2.1881 2022/06/28 01:13:01 - mmengine - INFO - Epoch(train) [21][2340/3757] lr: 1.000e-02 eta: 21:54:56 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.3647 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2228 loss: 2.2228 2022/06/28 01:13:07 - mmengine - INFO - Epoch(train) [21][2360/3757] lr: 1.000e-02 eta: 21:54:52 time: 1.145 data_time: 0.006 memory: 5150 grad_norm: 5.4181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8637 loss: 1.8637 2022/06/28 01:13:12 - mmengine - INFO - Epoch(train) [21][2380/3757] lr: 1.000e-02 eta: 21:54:46 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.6931 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0165 loss: 2.0165 2022/06/28 01:13:17 - mmengine - INFO - Epoch(train) [21][2400/3757] lr: 1.000e-02 eta: 21:54:40 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 5.7439 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.5029 loss: 2.5029 2022/06/28 01:13:22 - mmengine - INFO - Epoch(train) [21][2420/3757] lr: 1.000e-02 eta: 21:54:36 time: 0.617 data_time: 0.011 memory: 5150 grad_norm: 5.6847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9892 loss: 1.9892 2022/06/28 01:13:27 - mmengine - INFO - Epoch(train) [21][2440/3757] lr: 1.000e-02 eta: 21:54:30 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.3901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7555 loss: 1.7555 2022/06/28 01:13:33 - mmengine - INFO - Epoch(train) [21][2460/3757] lr: 1.000e-02 eta: 21:54:26 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.6382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1641 loss: 2.1641 2022/06/28 01:13:39 - mmengine - INFO - Epoch(train) [21][2480/3757] lr: 1.000e-02 eta: 21:54:24 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 5.4602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0490 loss: 2.0490 2022/06/28 01:13:43 - mmengine - INFO - Epoch(train) [21][2500/3757] lr: 1.000e-02 eta: 21:54:14 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.2798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0615 loss: 2.0615 2022/06/28 01:13:49 - mmengine - INFO - Epoch(train) [21][2520/3757] lr: 1.000e-02 eta: 21:54:09 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1578 loss: 2.1578 2022/06/28 01:13:54 - mmengine - INFO - Epoch(train) [21][2540/3757] lr: 1.000e-02 eta: 21:54:04 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 4.3556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0534 loss: 2.0534 2022/06/28 01:14:00 - mmengine - INFO - Epoch(train) [21][2560/3757] lr: 1.000e-02 eta: 21:54:00 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4196 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7098 loss: 2.7098 2022/06/28 01:14:05 - mmengine - INFO - Epoch(train) [21][2580/3757] lr: 1.000e-02 eta: 21:53:56 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2236 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1335 loss: 2.1335 2022/06/28 01:14:11 - mmengine - INFO - Epoch(train) [21][2600/3757] lr: 1.000e-02 eta: 21:53:50 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 4.6029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1258 loss: 2.1258 2022/06/28 01:14:15 - mmengine - INFO - Epoch(train) [21][2620/3757] lr: 1.000e-02 eta: 21:53:43 time: 0.197 data_time: 0.025 memory: 5150 grad_norm: 5.7724 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9652 loss: 1.9652 2022/06/28 01:14:21 - mmengine - INFO - Epoch(train) [21][2640/3757] lr: 1.000e-02 eta: 21:53:39 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.0933 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1689 loss: 2.1689 2022/06/28 01:14:27 - mmengine - INFO - Epoch(train) [21][2660/3757] lr: 1.000e-02 eta: 21:53:35 time: 0.239 data_time: 0.014 memory: 5150 grad_norm: 5.8339 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6629 loss: 2.6629 2022/06/28 01:14:31 - mmengine - INFO - Epoch(train) [21][2680/3757] lr: 1.000e-02 eta: 21:53:26 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.2911 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2271 loss: 2.2271 2022/06/28 01:14:36 - mmengine - INFO - Epoch(train) [21][2700/3757] lr: 1.000e-02 eta: 21:53:19 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.3660 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0121 loss: 2.0121 2022/06/28 01:14:41 - mmengine - INFO - Epoch(train) [21][2720/3757] lr: 1.000e-02 eta: 21:53:14 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.5910 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1434 loss: 2.1434 2022/06/28 01:14:46 - mmengine - INFO - Epoch(train) [21][2740/3757] lr: 1.000e-02 eta: 21:53:09 time: 0.206 data_time: 0.025 memory: 5150 grad_norm: 6.3236 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6392 loss: 2.6392 2022/06/28 01:14:52 - mmengine - INFO - Epoch(train) [21][2760/3757] lr: 1.000e-02 eta: 21:53:05 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.3832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9057 loss: 1.9057 2022/06/28 01:14:57 - mmengine - INFO - Epoch(train) [21][2780/3757] lr: 1.000e-02 eta: 21:52:59 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4457 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3124 loss: 2.3124 2022/06/28 01:15:02 - mmengine - INFO - Epoch(train) [21][2800/3757] lr: 1.000e-02 eta: 21:52:52 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.0450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0547 loss: 2.0547 2022/06/28 01:15:08 - mmengine - INFO - Epoch(train) [21][2820/3757] lr: 1.000e-02 eta: 21:52:48 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.0623 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/06/28 01:15:13 - mmengine - INFO - Epoch(train) [21][2840/3757] lr: 1.000e-02 eta: 21:52:41 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.8382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1136 loss: 2.1136 2022/06/28 01:15:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:15:18 - mmengine - INFO - Epoch(train) [21][2860/3757] lr: 1.000e-02 eta: 21:52:35 time: 0.349 data_time: 0.010 memory: 5150 grad_norm: 6.1266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4939 loss: 2.4939 2022/06/28 01:15:23 - mmengine - INFO - Epoch(train) [21][2880/3757] lr: 1.000e-02 eta: 21:52:30 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 6.3734 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8829 loss: 1.8829 2022/06/28 01:15:29 - mmengine - INFO - Epoch(train) [21][2900/3757] lr: 1.000e-02 eta: 21:52:27 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 4.8274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8420 loss: 1.8420 2022/06/28 01:15:34 - mmengine - INFO - Epoch(train) [21][2920/3757] lr: 1.000e-02 eta: 21:52:21 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.6271 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0260 loss: 2.0260 2022/06/28 01:15:39 - mmengine - INFO - Epoch(train) [21][2940/3757] lr: 1.000e-02 eta: 21:52:15 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 4.5736 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6717 loss: 2.6717 2022/06/28 01:15:45 - mmengine - INFO - Epoch(train) [21][2960/3757] lr: 1.000e-02 eta: 21:52:10 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 5.4866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9271 loss: 1.9271 2022/06/28 01:15:50 - mmengine - INFO - Epoch(train) [21][2980/3757] lr: 1.000e-02 eta: 21:52:06 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 5.8395 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0688 loss: 2.0688 2022/06/28 01:15:55 - mmengine - INFO - Epoch(train) [21][3000/3757] lr: 1.000e-02 eta: 21:52:01 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.9377 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7406 loss: 1.7406 2022/06/28 01:16:01 - mmengine - INFO - Epoch(train) [21][3020/3757] lr: 1.000e-02 eta: 21:51:57 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 5.6663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2053 loss: 2.2053 2022/06/28 01:16:06 - mmengine - INFO - Epoch(train) [21][3040/3757] lr: 1.000e-02 eta: 21:51:49 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3260 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0923 loss: 2.0923 2022/06/28 01:16:11 - mmengine - INFO - Epoch(train) [21][3060/3757] lr: 1.000e-02 eta: 21:51:44 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 4.4761 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1462 loss: 2.1462 2022/06/28 01:16:17 - mmengine - INFO - Epoch(train) [21][3080/3757] lr: 1.000e-02 eta: 21:51:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0658 loss: 2.0658 2022/06/28 01:16:21 - mmengine - INFO - Epoch(train) [21][3100/3757] lr: 1.000e-02 eta: 21:51:32 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.1204 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1633 loss: 2.1633 2022/06/28 01:16:27 - mmengine - INFO - Epoch(train) [21][3120/3757] lr: 1.000e-02 eta: 21:51:27 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8365 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3478 loss: 2.3478 2022/06/28 01:16:33 - mmengine - INFO - Epoch(train) [21][3140/3757] lr: 1.000e-02 eta: 21:51:25 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.0837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2918 loss: 2.2918 2022/06/28 01:16:37 - mmengine - INFO - Epoch(train) [21][3160/3757] lr: 1.000e-02 eta: 21:51:17 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.7977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3583 loss: 2.3583 2022/06/28 01:16:43 - mmengine - INFO - Epoch(train) [21][3180/3757] lr: 1.000e-02 eta: 21:51:12 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.7579 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1905 loss: 2.1905 2022/06/28 01:16:47 - mmengine - INFO - Epoch(train) [21][3200/3757] lr: 1.000e-02 eta: 21:51:03 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.1956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7530 loss: 1.7530 2022/06/28 01:16:52 - mmengine - INFO - Epoch(train) [21][3220/3757] lr: 1.000e-02 eta: 21:50:54 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 6.5433 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6254 loss: 2.6254 2022/06/28 01:16:57 - mmengine - INFO - Epoch(train) [21][3240/3757] lr: 1.000e-02 eta: 21:50:49 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.4294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0843 loss: 2.0843 2022/06/28 01:17:03 - mmengine - INFO - Epoch(train) [21][3260/3757] lr: 1.000e-02 eta: 21:50:47 time: 0.973 data_time: 0.019 memory: 5150 grad_norm: 4.8986 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1755 loss: 2.1755 2022/06/28 01:17:08 - mmengine - INFO - Epoch(train) [21][3280/3757] lr: 1.000e-02 eta: 21:50:40 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.3048 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0938 loss: 2.0938 2022/06/28 01:17:14 - mmengine - INFO - Epoch(train) [21][3300/3757] lr: 1.000e-02 eta: 21:50:36 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.9432 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3029 loss: 2.3029 2022/06/28 01:17:19 - mmengine - INFO - Epoch(train) [21][3320/3757] lr: 1.000e-02 eta: 21:50:33 time: 1.749 data_time: 0.025 memory: 5150 grad_norm: 5.3307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0777 loss: 2.0777 2022/06/28 01:17:24 - mmengine - INFO - Epoch(train) [21][3340/3757] lr: 1.000e-02 eta: 21:50:23 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.4999 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0337 loss: 2.0337 2022/06/28 01:17:29 - mmengine - INFO - Epoch(train) [21][3360/3757] lr: 1.000e-02 eta: 21:50:20 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 5.3326 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4561 loss: 2.4561 2022/06/28 01:17:34 - mmengine - INFO - Epoch(train) [21][3380/3757] lr: 1.000e-02 eta: 21:50:13 time: 0.763 data_time: 0.015 memory: 5150 grad_norm: 5.5265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4534 loss: 2.4534 2022/06/28 01:17:40 - mmengine - INFO - Epoch(train) [21][3400/3757] lr: 1.000e-02 eta: 21:50:08 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 5.6019 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6022 loss: 2.6022 2022/06/28 01:17:45 - mmengine - INFO - Epoch(train) [21][3420/3757] lr: 1.000e-02 eta: 21:50:01 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 5.6839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9802 loss: 1.9802 2022/06/28 01:17:50 - mmengine - INFO - Epoch(train) [21][3440/3757] lr: 1.000e-02 eta: 21:49:57 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.3684 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1410 loss: 2.1410 2022/06/28 01:17:55 - mmengine - INFO - Epoch(train) [21][3460/3757] lr: 1.000e-02 eta: 21:49:52 time: 0.363 data_time: 0.019 memory: 5150 grad_norm: 5.4823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9863 loss: 1.9863 2022/06/28 01:18:01 - mmengine - INFO - Epoch(train) [21][3480/3757] lr: 1.000e-02 eta: 21:49:47 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.8087 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1329 loss: 2.1329 2022/06/28 01:18:06 - mmengine - INFO - Epoch(train) [21][3500/3757] lr: 1.000e-02 eta: 21:49:41 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.7140 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4211 loss: 2.4211 2022/06/28 01:18:12 - mmengine - INFO - Epoch(train) [21][3520/3757] lr: 1.000e-02 eta: 21:49:39 time: 1.060 data_time: 0.012 memory: 5150 grad_norm: 4.9010 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0594 loss: 2.0594 2022/06/28 01:18:17 - mmengine - INFO - Epoch(train) [21][3540/3757] lr: 1.000e-02 eta: 21:49:31 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2881 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1579 loss: 2.1579 2022/06/28 01:18:22 - mmengine - INFO - Epoch(train) [21][3560/3757] lr: 1.000e-02 eta: 21:49:26 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.2050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4444 loss: 2.4444 2022/06/28 01:18:28 - mmengine - INFO - Epoch(train) [21][3580/3757] lr: 1.000e-02 eta: 21:49:21 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8501 loss: 1.8501 2022/06/28 01:18:33 - mmengine - INFO - Epoch(train) [21][3600/3757] lr: 1.000e-02 eta: 21:49:17 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 5.6175 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0157 loss: 2.0157 2022/06/28 01:18:39 - mmengine - INFO - Epoch(train) [21][3620/3757] lr: 1.000e-02 eta: 21:49:12 time: 0.353 data_time: 0.006 memory: 5150 grad_norm: 6.2940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8760 loss: 1.8760 2022/06/28 01:18:44 - mmengine - INFO - Epoch(train) [21][3640/3757] lr: 1.000e-02 eta: 21:49:06 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.3432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8681 loss: 1.8681 2022/06/28 01:18:49 - mmengine - INFO - Epoch(train) [21][3660/3757] lr: 1.000e-02 eta: 21:49:02 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 5.5446 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3025 loss: 2.3025 2022/06/28 01:18:55 - mmengine - INFO - Epoch(train) [21][3680/3757] lr: 1.000e-02 eta: 21:48:58 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 4.9579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.5923 loss: 2.5923 2022/06/28 01:19:00 - mmengine - INFO - Epoch(train) [21][3700/3757] lr: 1.000e-02 eta: 21:48:52 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.5617 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3044 loss: 2.3044 2022/06/28 01:19:05 - mmengine - INFO - Epoch(train) [21][3720/3757] lr: 1.000e-02 eta: 21:48:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.0841 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2636 loss: 2.2636 2022/06/28 01:19:10 - mmengine - INFO - Epoch(train) [21][3740/3757] lr: 1.000e-02 eta: 21:48:41 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.5988 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4765 loss: 2.4765 2022/06/28 01:19:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:19:46 - mmengine - INFO - Epoch(val) [21][20/310] eta: 0:05:25 time: 0.972 data_time: 0.320 memory: 9746 2022/06/28 01:20:08 - mmengine - INFO - Epoch(val) [21][40/310] eta: 0:04:58 time: 1.055 data_time: 0.413 memory: 9746 2022/06/28 01:20:32 - mmengine - INFO - Epoch(val) [21][60/310] eta: 0:04:20 time: 1.079 data_time: 0.444 memory: 9746 2022/06/28 01:20:55 - mmengine - INFO - Epoch(val) [21][80/310] eta: 0:04:35 time: 1.033 data_time: 0.386 memory: 9746 2022/06/28 01:21:20 - mmengine - INFO - Epoch(val) [21][100/310] eta: 0:04:20 time: 2.903 data_time: 1.755 memory: 9746 2022/06/28 01:21:41 - mmengine - INFO - Epoch(val) [21][120/310] eta: 0:03:21 time: 1.099 data_time: 0.474 memory: 9746 2022/06/28 01:22:05 - mmengine - INFO - Epoch(val) [21][140/310] eta: 0:03:24 time: 1.113 data_time: 0.442 memory: 9746 2022/06/28 01:22:30 - mmengine - INFO - Epoch(val) [21][160/310] eta: 0:03:19 time: 3.040 data_time: 2.366 memory: 9746 2022/06/28 01:22:54 - mmengine - INFO - Epoch(val) [21][180/310] eta: 0:02:51 time: 1.069 data_time: 0.439 memory: 9746 2022/06/28 01:23:15 - mmengine - INFO - Epoch(val) [21][200/310] eta: 0:01:57 time: 1.098 data_time: 0.442 memory: 9746 2022/06/28 01:23:37 - mmengine - INFO - Epoch(val) [21][220/310] eta: 0:01:39 time: 1.117 data_time: 0.480 memory: 9746 2022/06/28 01:23:58 - mmengine - INFO - Epoch(val) [21][240/310] eta: 0:01:14 time: 0.858 data_time: 0.215 memory: 9746 2022/06/28 01:24:22 - mmengine - INFO - Epoch(val) [21][260/310] eta: 0:00:58 time: 0.922 data_time: 0.269 memory: 9746 2022/06/28 01:24:44 - mmengine - INFO - Epoch(val) [21][280/310] eta: 0:00:32 time: 1.290 data_time: 0.641 memory: 9746 2022/06/28 01:25:04 - mmengine - INFO - Epoch(val) [21][300/310] eta: 0:00:08 time: 0.672 data_time: 0.096 memory: 9746 2022/06/28 01:25:16 - mmengine - INFO - Epoch(val) [21][310/310] acc/top1: 0.6011 acc/top5: 0.8333 acc/mean1: 0.6010 2022/06/28 01:25:24 - mmengine - INFO - Epoch(train) [22][20/3757] lr: 1.000e-02 eta: 21:48:33 time: 0.195 data_time: 0.007 memory: 9746 grad_norm: 4.8114 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9926 loss: 1.9926 2022/06/28 01:25:30 - mmengine - INFO - Epoch(train) [22][40/3757] lr: 1.000e-02 eta: 21:48:30 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2335 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1943 loss: 2.1943 2022/06/28 01:25:35 - mmengine - INFO - Epoch(train) [22][60/3757] lr: 1.000e-02 eta: 21:48:23 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.4939 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0699 loss: 2.0699 2022/06/28 01:25:41 - mmengine - INFO - Epoch(train) [22][80/3757] lr: 1.000e-02 eta: 21:48:19 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 4.8339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3206 loss: 2.3206 2022/06/28 01:25:46 - mmengine - INFO - Epoch(train) [22][100/3757] lr: 1.000e-02 eta: 21:48:14 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.4958 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0332 loss: 2.0332 2022/06/28 01:25:47 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:25:51 - mmengine - INFO - Epoch(train) [22][120/3757] lr: 1.000e-02 eta: 21:48:09 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0306 loss: 2.0306 2022/06/28 01:25:57 - mmengine - INFO - Epoch(train) [22][140/3757] lr: 1.000e-02 eta: 21:48:04 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 6.0126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8501 loss: 1.8501 2022/06/28 01:26:03 - mmengine - INFO - Epoch(train) [22][160/3757] lr: 1.000e-02 eta: 21:48:01 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4298 loss: 2.4298 2022/06/28 01:26:08 - mmengine - INFO - Epoch(train) [22][180/3757] lr: 1.000e-02 eta: 21:47:54 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.7768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3491 loss: 2.3491 2022/06/28 01:26:13 - mmengine - INFO - Epoch(train) [22][200/3757] lr: 1.000e-02 eta: 21:47:50 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6414 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3677 loss: 2.3677 2022/06/28 01:26:19 - mmengine - INFO - Epoch(train) [22][220/3757] lr: 1.000e-02 eta: 21:47:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0121 loss: 2.0121 2022/06/28 01:26:24 - mmengine - INFO - Epoch(train) [22][240/3757] lr: 1.000e-02 eta: 21:47:38 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.2776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0158 loss: 2.0158 2022/06/28 01:26:29 - mmengine - INFO - Epoch(train) [22][260/3757] lr: 1.000e-02 eta: 21:47:35 time: 0.284 data_time: 0.007 memory: 5150 grad_norm: 5.4914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2327 loss: 2.2327 2022/06/28 01:26:35 - mmengine - INFO - Epoch(train) [22][280/3757] lr: 1.000e-02 eta: 21:47:31 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 4.9461 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8153 loss: 1.8153 2022/06/28 01:26:40 - mmengine - INFO - Epoch(train) [22][300/3757] lr: 1.000e-02 eta: 21:47:25 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1224 loss: 2.1224 2022/06/28 01:26:46 - mmengine - INFO - Epoch(train) [22][320/3757] lr: 1.000e-02 eta: 21:47:20 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.5001 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6607 loss: 1.6607 2022/06/28 01:26:52 - mmengine - INFO - Epoch(train) [22][340/3757] lr: 1.000e-02 eta: 21:47:18 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/06/28 01:26:56 - mmengine - INFO - Epoch(train) [22][360/3757] lr: 1.000e-02 eta: 21:47:10 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.8077 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4109 loss: 2.4109 2022/06/28 01:27:02 - mmengine - INFO - Epoch(train) [22][380/3757] lr: 1.000e-02 eta: 21:47:06 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.0767 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9704 loss: 1.9704 2022/06/28 01:27:07 - mmengine - INFO - Epoch(train) [22][400/3757] lr: 1.000e-02 eta: 21:47:01 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.2498 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1996 loss: 2.1996 2022/06/28 01:27:12 - mmengine - INFO - Epoch(train) [22][420/3757] lr: 1.000e-02 eta: 21:46:54 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.5282 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8634 loss: 1.8634 2022/06/28 01:27:17 - mmengine - INFO - Epoch(train) [22][440/3757] lr: 1.000e-02 eta: 21:46:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7284 loss: 1.7284 2022/06/28 01:27:23 - mmengine - INFO - Epoch(train) [22][460/3757] lr: 1.000e-02 eta: 21:46:45 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.0869 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2549 loss: 2.2549 2022/06/28 01:27:28 - mmengine - INFO - Epoch(train) [22][480/3757] lr: 1.000e-02 eta: 21:46:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1409 loss: 2.1409 2022/06/28 01:27:34 - mmengine - INFO - Epoch(train) [22][500/3757] lr: 1.000e-02 eta: 21:46:34 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.2373 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8357 loss: 1.8357 2022/06/28 01:27:39 - mmengine - INFO - Epoch(train) [22][520/3757] lr: 1.000e-02 eta: 21:46:30 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.9836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3384 loss: 1.3384 2022/06/28 01:27:44 - mmengine - INFO - Epoch(train) [22][540/3757] lr: 1.000e-02 eta: 21:46:22 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 5.9666 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4942 loss: 2.4942 2022/06/28 01:27:50 - mmengine - INFO - Epoch(train) [22][560/3757] lr: 1.000e-02 eta: 21:46:19 time: 0.398 data_time: 0.007 memory: 5150 grad_norm: 5.2816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0097 loss: 2.0097 2022/06/28 01:27:55 - mmengine - INFO - Epoch(train) [22][580/3757] lr: 1.000e-02 eta: 21:46:13 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.1505 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2733 loss: 2.2733 2022/06/28 01:28:00 - mmengine - INFO - Epoch(train) [22][600/3757] lr: 1.000e-02 eta: 21:46:08 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 4.6440 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0643 loss: 2.0643 2022/06/28 01:28:06 - mmengine - INFO - Epoch(train) [22][620/3757] lr: 1.000e-02 eta: 21:46:03 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2485 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5072 loss: 2.5072 2022/06/28 01:28:11 - mmengine - INFO - Epoch(train) [22][640/3757] lr: 1.000e-02 eta: 21:45:59 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.1229 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2108 loss: 2.2108 2022/06/28 01:28:16 - mmengine - INFO - Epoch(train) [22][660/3757] lr: 1.000e-02 eta: 21:45:52 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.9429 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2473 loss: 2.2473 2022/06/28 01:28:22 - mmengine - INFO - Epoch(train) [22][680/3757] lr: 1.000e-02 eta: 21:45:48 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4545 loss: 2.4545 2022/06/28 01:28:27 - mmengine - INFO - Epoch(train) [22][700/3757] lr: 1.000e-02 eta: 21:45:44 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.0741 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2636 loss: 2.2636 2022/06/28 01:28:32 - mmengine - INFO - Epoch(train) [22][720/3757] lr: 1.000e-02 eta: 21:45:37 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.0885 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7550 loss: 1.7550 2022/06/28 01:28:37 - mmengine - INFO - Epoch(train) [22][740/3757] lr: 1.000e-02 eta: 21:45:31 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.9092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0814 loss: 2.0814 2022/06/28 01:28:43 - mmengine - INFO - Epoch(train) [22][760/3757] lr: 1.000e-02 eta: 21:45:28 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2034 loss: 2.2034 2022/06/28 01:28:48 - mmengine - INFO - Epoch(train) [22][780/3757] lr: 1.000e-02 eta: 21:45:20 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 5.7772 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4330 loss: 2.4330 2022/06/28 01:28:53 - mmengine - INFO - Epoch(train) [22][800/3757] lr: 1.000e-02 eta: 21:45:16 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5993 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0240 loss: 2.0240 2022/06/28 01:28:59 - mmengine - INFO - Epoch(train) [22][820/3757] lr: 1.000e-02 eta: 21:45:11 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.9327 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9341 loss: 1.9341 2022/06/28 01:29:04 - mmengine - INFO - Epoch(train) [22][840/3757] lr: 1.000e-02 eta: 21:45:04 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1262 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9683 loss: 1.9683 2022/06/28 01:29:10 - mmengine - INFO - Epoch(train) [22][860/3757] lr: 1.000e-02 eta: 21:45:01 time: 0.327 data_time: 0.008 memory: 5150 grad_norm: 5.4256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4983 loss: 2.4983 2022/06/28 01:29:15 - mmengine - INFO - Epoch(train) [22][880/3757] lr: 1.000e-02 eta: 21:44:55 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5964 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9587 loss: 1.9587 2022/06/28 01:29:21 - mmengine - INFO - Epoch(train) [22][900/3757] lr: 1.000e-02 eta: 21:44:52 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.5263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1230 loss: 2.1230 2022/06/28 01:29:26 - mmengine - INFO - Epoch(train) [22][920/3757] lr: 1.000e-02 eta: 21:44:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0438 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9421 loss: 1.9421 2022/06/28 01:29:31 - mmengine - INFO - Epoch(train) [22][940/3757] lr: 1.000e-02 eta: 21:44:41 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.2411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5361 loss: 1.5361 2022/06/28 01:29:36 - mmengine - INFO - Epoch(train) [22][960/3757] lr: 1.000e-02 eta: 21:44:34 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 4.7327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7560 loss: 1.7560 2022/06/28 01:29:41 - mmengine - INFO - Epoch(train) [22][980/3757] lr: 1.000e-02 eta: 21:44:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0267 loss: 2.0267 2022/06/28 01:29:47 - mmengine - INFO - Epoch(train) [22][1000/3757] lr: 1.000e-02 eta: 21:44:24 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3379 loss: 2.3379 2022/06/28 01:29:52 - mmengine - INFO - Epoch(train) [22][1020/3757] lr: 1.000e-02 eta: 21:44:19 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.8177 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1444 loss: 2.1444 2022/06/28 01:29:58 - mmengine - INFO - Epoch(train) [22][1040/3757] lr: 1.000e-02 eta: 21:44:16 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 4.9944 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2888 loss: 2.2888 2022/06/28 01:30:03 - mmengine - INFO - Epoch(train) [22][1060/3757] lr: 1.000e-02 eta: 21:44:10 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.8152 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3329 loss: 2.3329 2022/06/28 01:30:08 - mmengine - INFO - Epoch(train) [22][1080/3757] lr: 1.000e-02 eta: 21:44:05 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.3892 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2301 loss: 2.2301 2022/06/28 01:30:14 - mmengine - INFO - Epoch(train) [22][1100/3757] lr: 1.000e-02 eta: 21:44:01 time: 0.219 data_time: 0.006 memory: 5150 grad_norm: 5.9493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1361 loss: 2.1361 2022/06/28 01:30:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:30:18 - mmengine - INFO - Epoch(train) [22][1120/3757] lr: 1.000e-02 eta: 21:43:52 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.4503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1962 loss: 2.1962 2022/06/28 01:30:24 - mmengine - INFO - Epoch(train) [22][1140/3757] lr: 1.000e-02 eta: 21:43:47 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 6.5885 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0857 loss: 2.0857 2022/06/28 01:30:31 - mmengine - INFO - Epoch(train) [22][1160/3757] lr: 1.000e-02 eta: 21:43:47 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.3909 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9104 loss: 1.9104 2022/06/28 01:30:35 - mmengine - INFO - Epoch(train) [22][1180/3757] lr: 1.000e-02 eta: 21:43:37 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 5.9020 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1964 loss: 2.1964 2022/06/28 01:30:41 - mmengine - INFO - Epoch(train) [22][1200/3757] lr: 1.000e-02 eta: 21:43:35 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.7722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2367 loss: 2.2367 2022/06/28 01:30:46 - mmengine - INFO - Epoch(train) [22][1220/3757] lr: 1.000e-02 eta: 21:43:30 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2938 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4268 loss: 2.4268 2022/06/28 01:30:51 - mmengine - INFO - Epoch(train) [22][1240/3757] lr: 1.000e-02 eta: 21:43:23 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4500 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9074 loss: 1.9074 2022/06/28 01:30:56 - mmengine - INFO - Epoch(train) [22][1260/3757] lr: 1.000e-02 eta: 21:43:18 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.6181 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0685 loss: 2.0685 2022/06/28 01:31:02 - mmengine - INFO - Epoch(train) [22][1280/3757] lr: 1.000e-02 eta: 21:43:14 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8241 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2073 loss: 2.2073 2022/06/28 01:31:07 - mmengine - INFO - Epoch(train) [22][1300/3757] lr: 1.000e-02 eta: 21:43:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0078 loss: 2.0078 2022/06/28 01:31:12 - mmengine - INFO - Epoch(train) [22][1320/3757] lr: 1.000e-02 eta: 21:43:02 time: 0.308 data_time: 0.007 memory: 5150 grad_norm: 5.5121 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2420 loss: 2.2420 2022/06/28 01:31:17 - mmengine - INFO - Epoch(train) [22][1340/3757] lr: 1.000e-02 eta: 21:42:56 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.1290 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.6278 loss: 2.6278 2022/06/28 01:31:23 - mmengine - INFO - Epoch(train) [22][1360/3757] lr: 1.000e-02 eta: 21:42:52 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.8749 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.8868 loss: 2.8868 2022/06/28 01:31:28 - mmengine - INFO - Epoch(train) [22][1380/3757] lr: 1.000e-02 eta: 21:42:46 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.9046 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2191 loss: 2.2191 2022/06/28 01:31:33 - mmengine - INFO - Epoch(train) [22][1400/3757] lr: 1.000e-02 eta: 21:42:41 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6400 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1321 loss: 2.1321 2022/06/28 01:31:39 - mmengine - INFO - Epoch(train) [22][1420/3757] lr: 1.000e-02 eta: 21:42:37 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3235 loss: 2.3235 2022/06/28 01:31:44 - mmengine - INFO - Epoch(train) [22][1440/3757] lr: 1.000e-02 eta: 21:42:31 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2625 loss: 2.2625 2022/06/28 01:31:50 - mmengine - INFO - Epoch(train) [22][1460/3757] lr: 1.000e-02 eta: 21:42:26 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 4.9777 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0061 loss: 2.0061 2022/06/28 01:31:55 - mmengine - INFO - Epoch(train) [22][1480/3757] lr: 1.000e-02 eta: 21:42:21 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3509 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1006 loss: 2.1006 2022/06/28 01:32:01 - mmengine - INFO - Epoch(train) [22][1500/3757] lr: 1.000e-02 eta: 21:42:17 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3714 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0219 loss: 2.0219 2022/06/28 01:32:05 - mmengine - INFO - Epoch(train) [22][1520/3757] lr: 1.000e-02 eta: 21:42:10 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 6.0692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6543 loss: 1.6543 2022/06/28 01:32:12 - mmengine - INFO - Epoch(train) [22][1540/3757] lr: 1.000e-02 eta: 21:42:08 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.9037 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9928 loss: 1.9928 2022/06/28 01:32:16 - mmengine - INFO - Epoch(train) [22][1560/3757] lr: 1.000e-02 eta: 21:42:01 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.5763 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7434 loss: 1.7434 2022/06/28 01:32:22 - mmengine - INFO - Epoch(train) [22][1580/3757] lr: 1.000e-02 eta: 21:41:56 time: 0.555 data_time: 0.007 memory: 5150 grad_norm: 6.0450 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3180 loss: 2.3180 2022/06/28 01:32:27 - mmengine - INFO - Epoch(train) [22][1600/3757] lr: 1.000e-02 eta: 21:41:51 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7464 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1906 loss: 2.1906 2022/06/28 01:32:32 - mmengine - INFO - Epoch(train) [22][1620/3757] lr: 1.000e-02 eta: 21:41:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3685 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0403 loss: 2.0403 2022/06/28 01:32:38 - mmengine - INFO - Epoch(train) [22][1640/3757] lr: 1.000e-02 eta: 21:41:41 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.7624 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3906 loss: 2.3906 2022/06/28 01:32:44 - mmengine - INFO - Epoch(train) [22][1660/3757] lr: 1.000e-02 eta: 21:41:38 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.6230 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/06/28 01:32:48 - mmengine - INFO - Epoch(train) [22][1680/3757] lr: 1.000e-02 eta: 21:41:29 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7678 loss: 1.7678 2022/06/28 01:32:54 - mmengine - INFO - Epoch(train) [22][1700/3757] lr: 1.000e-02 eta: 21:41:25 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9344 loss: 1.9344 2022/06/28 01:32:59 - mmengine - INFO - Epoch(train) [22][1720/3757] lr: 1.000e-02 eta: 21:41:19 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.2150 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0165 loss: 2.0165 2022/06/28 01:33:04 - mmengine - INFO - Epoch(train) [22][1740/3757] lr: 1.000e-02 eta: 21:41:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3381 loss: 2.3381 2022/06/28 01:33:09 - mmengine - INFO - Epoch(train) [22][1760/3757] lr: 1.000e-02 eta: 21:41:08 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.0217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4328 loss: 2.4328 2022/06/28 01:33:15 - mmengine - INFO - Epoch(train) [22][1780/3757] lr: 1.000e-02 eta: 21:41:04 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.3967 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5442 loss: 2.5442 2022/06/28 01:33:20 - mmengine - INFO - Epoch(train) [22][1800/3757] lr: 1.000e-02 eta: 21:40:59 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.8307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0048 loss: 2.0048 2022/06/28 01:33:26 - mmengine - INFO - Epoch(train) [22][1820/3757] lr: 1.000e-02 eta: 21:40:54 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.6385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2682 loss: 2.2682 2022/06/28 01:33:31 - mmengine - INFO - Epoch(train) [22][1840/3757] lr: 1.000e-02 eta: 21:40:49 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 5.1853 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0113 loss: 2.0113 2022/06/28 01:33:36 - mmengine - INFO - Epoch(train) [22][1860/3757] lr: 1.000e-02 eta: 21:40:43 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.1335 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0881 loss: 2.0881 2022/06/28 01:33:42 - mmengine - INFO - Epoch(train) [22][1880/3757] lr: 1.000e-02 eta: 21:40:38 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9919 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2444 loss: 2.2444 2022/06/28 01:33:47 - mmengine - INFO - Epoch(train) [22][1900/3757] lr: 1.000e-02 eta: 21:40:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.0770 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2121 loss: 2.2121 2022/06/28 01:33:52 - mmengine - INFO - Epoch(train) [22][1920/3757] lr: 1.000e-02 eta: 21:40:27 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.2459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4920 loss: 2.4920 2022/06/28 01:33:58 - mmengine - INFO - Epoch(train) [22][1940/3757] lr: 1.000e-02 eta: 21:40:23 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0726 loss: 2.0726 2022/06/28 01:34:03 - mmengine - INFO - Epoch(train) [22][1960/3757] lr: 1.000e-02 eta: 21:40:18 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 4.9269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5214 loss: 2.5214 2022/06/28 01:34:08 - mmengine - INFO - Epoch(train) [22][1980/3757] lr: 1.000e-02 eta: 21:40:10 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.9628 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2914 loss: 2.2914 2022/06/28 01:34:13 - mmengine - INFO - Epoch(train) [22][2000/3757] lr: 1.000e-02 eta: 21:40:06 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.8963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9212 loss: 1.9212 2022/06/28 01:34:19 - mmengine - INFO - Epoch(train) [22][2020/3757] lr: 1.000e-02 eta: 21:40:03 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.1318 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2683 loss: 2.2683 2022/06/28 01:34:24 - mmengine - INFO - Epoch(train) [22][2040/3757] lr: 1.000e-02 eta: 21:39:56 time: 0.275 data_time: 0.008 memory: 5150 grad_norm: 5.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9789 loss: 1.9789 2022/06/28 01:34:30 - mmengine - INFO - Epoch(train) [22][2060/3757] lr: 1.000e-02 eta: 21:39:52 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 5.3418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/06/28 01:34:35 - mmengine - INFO - Epoch(train) [22][2080/3757] lr: 1.000e-02 eta: 21:39:48 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.3173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5033 loss: 2.5033 2022/06/28 01:34:41 - mmengine - INFO - Epoch(train) [22][2100/3757] lr: 1.000e-02 eta: 21:39:43 time: 1.027 data_time: 0.007 memory: 5150 grad_norm: 5.7569 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1262 loss: 2.1262 2022/06/28 01:34:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:34:46 - mmengine - INFO - Epoch(train) [22][2120/3757] lr: 1.000e-02 eta: 21:39:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5702 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8320 loss: 1.8320 2022/06/28 01:34:51 - mmengine - INFO - Epoch(train) [22][2140/3757] lr: 1.000e-02 eta: 21:39:32 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 4.3107 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0201 loss: 2.0201 2022/06/28 01:34:56 - mmengine - INFO - Epoch(train) [22][2160/3757] lr: 1.000e-02 eta: 21:39:26 time: 0.467 data_time: 0.007 memory: 5150 grad_norm: 5.5781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0656 loss: 2.0656 2022/06/28 01:35:02 - mmengine - INFO - Epoch(train) [22][2180/3757] lr: 1.000e-02 eta: 21:39:21 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 4.9121 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2969 loss: 2.2969 2022/06/28 01:35:08 - mmengine - INFO - Epoch(train) [22][2200/3757] lr: 1.000e-02 eta: 21:39:18 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.4331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1675 loss: 2.1675 2022/06/28 01:35:13 - mmengine - INFO - Epoch(train) [22][2220/3757] lr: 1.000e-02 eta: 21:39:12 time: 0.277 data_time: 0.006 memory: 5150 grad_norm: 6.8599 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1689 loss: 2.1689 2022/06/28 01:35:18 - mmengine - INFO - Epoch(train) [22][2240/3757] lr: 1.000e-02 eta: 21:39:08 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5404 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9565 loss: 1.9565 2022/06/28 01:35:24 - mmengine - INFO - Epoch(train) [22][2260/3757] lr: 1.000e-02 eta: 21:39:03 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.2768 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0214 loss: 2.0214 2022/06/28 01:35:28 - mmengine - INFO - Epoch(train) [22][2280/3757] lr: 1.000e-02 eta: 21:38:55 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 5.1220 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9983 loss: 1.9983 2022/06/28 01:35:34 - mmengine - INFO - Epoch(train) [22][2300/3757] lr: 1.000e-02 eta: 21:38:51 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.4545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3992 loss: 2.3992 2022/06/28 01:35:40 - mmengine - INFO - Epoch(train) [22][2320/3757] lr: 1.000e-02 eta: 21:38:49 time: 0.267 data_time: 0.008 memory: 5150 grad_norm: 5.6299 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3756 loss: 2.3756 2022/06/28 01:35:45 - mmengine - INFO - Epoch(train) [22][2340/3757] lr: 1.000e-02 eta: 21:38:41 time: 0.217 data_time: 0.006 memory: 5150 grad_norm: 5.2384 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5064 loss: 2.5064 2022/06/28 01:35:51 - mmengine - INFO - Epoch(train) [22][2360/3757] lr: 1.000e-02 eta: 21:38:38 time: 0.224 data_time: 0.013 memory: 5150 grad_norm: 5.6017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0932 loss: 2.0932 2022/06/28 01:35:56 - mmengine - INFO - Epoch(train) [22][2380/3757] lr: 1.000e-02 eta: 21:38:33 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4804 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2291 loss: 2.2291 2022/06/28 01:36:01 - mmengine - INFO - Epoch(train) [22][2400/3757] lr: 1.000e-02 eta: 21:38:26 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 6.1292 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9406 loss: 2.9406 2022/06/28 01:36:06 - mmengine - INFO - Epoch(train) [22][2420/3757] lr: 1.000e-02 eta: 21:38:22 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.6413 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3550 loss: 2.3550 2022/06/28 01:36:12 - mmengine - INFO - Epoch(train) [22][2440/3757] lr: 1.000e-02 eta: 21:38:16 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.0366 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9265 loss: 1.9265 2022/06/28 01:36:17 - mmengine - INFO - Epoch(train) [22][2460/3757] lr: 1.000e-02 eta: 21:38:10 time: 0.606 data_time: 0.007 memory: 5150 grad_norm: 6.1379 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3782 loss: 2.3782 2022/06/28 01:36:23 - mmengine - INFO - Epoch(train) [22][2480/3757] lr: 1.000e-02 eta: 21:38:08 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.1621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0682 loss: 2.0682 2022/06/28 01:36:28 - mmengine - INFO - Epoch(train) [22][2500/3757] lr: 1.000e-02 eta: 21:38:01 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 5.6807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8739 loss: 1.8739 2022/06/28 01:36:33 - mmengine - INFO - Epoch(train) [22][2520/3757] lr: 1.000e-02 eta: 21:37:55 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.4785 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1208 loss: 2.1208 2022/06/28 01:36:38 - mmengine - INFO - Epoch(train) [22][2540/3757] lr: 1.000e-02 eta: 21:37:48 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.4109 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0016 loss: 2.0016 2022/06/28 01:36:44 - mmengine - INFO - Epoch(train) [22][2560/3757] lr: 1.000e-02 eta: 21:37:44 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 5.7240 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3695 loss: 2.3695 2022/06/28 01:36:49 - mmengine - INFO - Epoch(train) [22][2580/3757] lr: 1.000e-02 eta: 21:37:39 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.6337 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4426 loss: 2.4426 2022/06/28 01:36:54 - mmengine - INFO - Epoch(train) [22][2600/3757] lr: 1.000e-02 eta: 21:37:35 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2027 loss: 2.2027 2022/06/28 01:37:00 - mmengine - INFO - Epoch(train) [22][2620/3757] lr: 1.000e-02 eta: 21:37:29 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.6805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.7238 loss: 2.7238 2022/06/28 01:37:04 - mmengine - INFO - Epoch(train) [22][2640/3757] lr: 1.000e-02 eta: 21:37:22 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7517 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6727 loss: 1.6727 2022/06/28 01:37:10 - mmengine - INFO - Epoch(train) [22][2660/3757] lr: 1.000e-02 eta: 21:37:18 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.5022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2372 loss: 2.2372 2022/06/28 01:37:16 - mmengine - INFO - Epoch(train) [22][2680/3757] lr: 1.000e-02 eta: 21:37:16 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 5.7002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1240 loss: 2.1240 2022/06/28 01:37:21 - mmengine - INFO - Epoch(train) [22][2700/3757] lr: 1.000e-02 eta: 21:37:09 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.6812 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0302 loss: 2.0302 2022/06/28 01:37:26 - mmengine - INFO - Epoch(train) [22][2720/3757] lr: 1.000e-02 eta: 21:37:03 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.1289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9010 loss: 1.9010 2022/06/28 01:37:32 - mmengine - INFO - Epoch(train) [22][2740/3757] lr: 1.000e-02 eta: 21:36:58 time: 0.206 data_time: 0.034 memory: 5150 grad_norm: 5.0619 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2090 loss: 2.2090 2022/06/28 01:37:37 - mmengine - INFO - Epoch(train) [22][2760/3757] lr: 1.000e-02 eta: 21:36:53 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 6.6125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1240 loss: 2.1240 2022/06/28 01:37:42 - mmengine - INFO - Epoch(train) [22][2780/3757] lr: 1.000e-02 eta: 21:36:48 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.2310 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0202 loss: 2.0202 2022/06/28 01:37:48 - mmengine - INFO - Epoch(train) [22][2800/3757] lr: 1.000e-02 eta: 21:36:43 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.5302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8852 loss: 1.8852 2022/06/28 01:37:53 - mmengine - INFO - Epoch(train) [22][2820/3757] lr: 1.000e-02 eta: 21:36:37 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.9088 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9044 loss: 1.9044 2022/06/28 01:37:59 - mmengine - INFO - Epoch(train) [22][2840/3757] lr: 1.000e-02 eta: 21:36:34 time: 0.547 data_time: 0.010 memory: 5150 grad_norm: 5.1376 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2867 loss: 2.2867 2022/06/28 01:38:04 - mmengine - INFO - Epoch(train) [22][2860/3757] lr: 1.000e-02 eta: 21:36:28 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9208 loss: 1.9208 2022/06/28 01:38:09 - mmengine - INFO - Epoch(train) [22][2880/3757] lr: 1.000e-02 eta: 21:36:23 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 4.9191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2272 loss: 2.2272 2022/06/28 01:38:14 - mmengine - INFO - Epoch(train) [22][2900/3757] lr: 1.000e-02 eta: 21:36:17 time: 0.576 data_time: 0.007 memory: 5150 grad_norm: 6.0033 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2212 loss: 2.2212 2022/06/28 01:38:20 - mmengine - INFO - Epoch(train) [22][2920/3757] lr: 1.000e-02 eta: 21:36:12 time: 0.191 data_time: 0.020 memory: 5150 grad_norm: 5.7057 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0044 loss: 2.0044 2022/06/28 01:38:25 - mmengine - INFO - Epoch(train) [22][2940/3757] lr: 1.000e-02 eta: 21:36:05 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 6.3937 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3081 loss: 2.3081 2022/06/28 01:38:31 - mmengine - INFO - Epoch(train) [22][2960/3757] lr: 1.000e-02 eta: 21:36:02 time: 0.783 data_time: 0.011 memory: 5150 grad_norm: 5.9640 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0719 loss: 2.0719 2022/06/28 01:38:35 - mmengine - INFO - Epoch(train) [22][2980/3757] lr: 1.000e-02 eta: 21:35:56 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.9220 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1543 loss: 2.1543 2022/06/28 01:38:42 - mmengine - INFO - Epoch(train) [22][3000/3757] lr: 1.000e-02 eta: 21:35:55 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 5.6150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1457 loss: 2.1457 2022/06/28 01:38:47 - mmengine - INFO - Epoch(train) [22][3020/3757] lr: 1.000e-02 eta: 21:35:47 time: 0.597 data_time: 0.007 memory: 5150 grad_norm: 5.6145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3416 loss: 2.3416 2022/06/28 01:38:51 - mmengine - INFO - Epoch(train) [22][3040/3757] lr: 1.000e-02 eta: 21:35:40 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 5.2254 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9014 loss: 1.9014 2022/06/28 01:38:57 - mmengine - INFO - Epoch(train) [22][3060/3757] lr: 1.000e-02 eta: 21:35:35 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.0759 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6324 loss: 2.6324 2022/06/28 01:39:03 - mmengine - INFO - Epoch(train) [22][3080/3757] lr: 1.000e-02 eta: 21:35:32 time: 0.681 data_time: 0.010 memory: 5150 grad_norm: 5.7962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1848 loss: 2.1848 2022/06/28 01:39:07 - mmengine - INFO - Epoch(train) [22][3100/3757] lr: 1.000e-02 eta: 21:35:25 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.5242 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6912 loss: 1.6912 2022/06/28 01:39:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:39:13 - mmengine - INFO - Epoch(train) [22][3120/3757] lr: 1.000e-02 eta: 21:35:21 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.5567 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/06/28 01:39:19 - mmengine - INFO - Epoch(train) [22][3140/3757] lr: 1.000e-02 eta: 21:35:17 time: 0.386 data_time: 0.014 memory: 5150 grad_norm: 5.8121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0591 loss: 2.0591 2022/06/28 01:39:24 - mmengine - INFO - Epoch(train) [22][3160/3757] lr: 1.000e-02 eta: 21:35:12 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.5777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0925 loss: 2.0925 2022/06/28 01:39:29 - mmengine - INFO - Epoch(train) [22][3180/3757] lr: 1.000e-02 eta: 21:35:07 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.6693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2478 loss: 2.2478 2022/06/28 01:39:35 - mmengine - INFO - Epoch(train) [22][3200/3757] lr: 1.000e-02 eta: 21:35:01 time: 0.503 data_time: 0.010 memory: 5150 grad_norm: 5.8760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/06/28 01:39:40 - mmengine - INFO - Epoch(train) [22][3220/3757] lr: 1.000e-02 eta: 21:34:56 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1438 loss: 2.1438 2022/06/28 01:39:45 - mmengine - INFO - Epoch(train) [22][3240/3757] lr: 1.000e-02 eta: 21:34:49 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.5942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0874 loss: 2.0874 2022/06/28 01:39:51 - mmengine - INFO - Epoch(train) [22][3260/3757] lr: 1.000e-02 eta: 21:34:47 time: 1.518 data_time: 0.009 memory: 5150 grad_norm: 5.7343 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5946 loss: 2.5946 2022/06/28 01:39:56 - mmengine - INFO - Epoch(train) [22][3280/3757] lr: 1.000e-02 eta: 21:34:39 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 5.8119 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1622 loss: 2.1622 2022/06/28 01:40:02 - mmengine - INFO - Epoch(train) [22][3300/3757] lr: 1.000e-02 eta: 21:34:38 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.3655 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5112 loss: 2.5112 2022/06/28 01:40:07 - mmengine - INFO - Epoch(train) [22][3320/3757] lr: 1.000e-02 eta: 21:34:32 time: 1.079 data_time: 0.010 memory: 5150 grad_norm: 5.2009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3212 loss: 2.3212 2022/06/28 01:40:12 - mmengine - INFO - Epoch(train) [22][3340/3757] lr: 1.000e-02 eta: 21:34:24 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.7105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9987 loss: 1.9987 2022/06/28 01:40:17 - mmengine - INFO - Epoch(train) [22][3360/3757] lr: 1.000e-02 eta: 21:34:18 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.8109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/06/28 01:40:23 - mmengine - INFO - Epoch(train) [22][3380/3757] lr: 1.000e-02 eta: 21:34:14 time: 0.960 data_time: 0.011 memory: 5150 grad_norm: 6.0468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1553 loss: 2.1553 2022/06/28 01:40:28 - mmengine - INFO - Epoch(train) [22][3400/3757] lr: 1.000e-02 eta: 21:34:07 time: 0.191 data_time: 0.016 memory: 5150 grad_norm: 5.1594 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3400 loss: 2.3400 2022/06/28 01:40:33 - mmengine - INFO - Epoch(train) [22][3420/3757] lr: 1.000e-02 eta: 21:34:04 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.5079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2338 loss: 2.2338 2022/06/28 01:40:39 - mmengine - INFO - Epoch(train) [22][3440/3757] lr: 1.000e-02 eta: 21:33:58 time: 0.801 data_time: 0.009 memory: 5150 grad_norm: 5.6930 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9196 loss: 1.9196 2022/06/28 01:40:43 - mmengine - INFO - Epoch(train) [22][3460/3757] lr: 1.000e-02 eta: 21:33:52 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.7145 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6950 loss: 1.6950 2022/06/28 01:40:49 - mmengine - INFO - Epoch(train) [22][3480/3757] lr: 1.000e-02 eta: 21:33:47 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2969 loss: 2.2969 2022/06/28 01:40:54 - mmengine - INFO - Epoch(train) [22][3500/3757] lr: 1.000e-02 eta: 21:33:42 time: 0.840 data_time: 0.007 memory: 5150 grad_norm: 5.5415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1531 loss: 2.1531 2022/06/28 01:40:59 - mmengine - INFO - Epoch(train) [22][3520/3757] lr: 1.000e-02 eta: 21:33:36 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 5.3135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0808 loss: 2.0808 2022/06/28 01:41:05 - mmengine - INFO - Epoch(train) [22][3540/3757] lr: 1.000e-02 eta: 21:33:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9170 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6878 loss: 1.6878 2022/06/28 01:41:10 - mmengine - INFO - Epoch(train) [22][3560/3757] lr: 1.000e-02 eta: 21:33:27 time: 0.575 data_time: 0.006 memory: 5150 grad_norm: 6.0254 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1627 loss: 2.1627 2022/06/28 01:41:15 - mmengine - INFO - Epoch(train) [22][3580/3757] lr: 1.000e-02 eta: 21:33:19 time: 0.316 data_time: 0.150 memory: 5150 grad_norm: 5.7415 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4928 loss: 2.4928 2022/06/28 01:41:20 - mmengine - INFO - Epoch(train) [22][3600/3757] lr: 1.000e-02 eta: 21:33:14 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.6919 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.7178 loss: 2.7178 2022/06/28 01:41:27 - mmengine - INFO - Epoch(train) [22][3620/3757] lr: 1.000e-02 eta: 21:33:12 time: 0.815 data_time: 0.007 memory: 5150 grad_norm: 5.0779 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1656 loss: 2.1656 2022/06/28 01:41:32 - mmengine - INFO - Epoch(train) [22][3640/3757] lr: 1.000e-02 eta: 21:33:07 time: 0.227 data_time: 0.051 memory: 5150 grad_norm: 6.0885 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/06/28 01:41:37 - mmengine - INFO - Epoch(train) [22][3660/3757] lr: 1.000e-02 eta: 21:33:02 time: 0.187 data_time: 0.009 memory: 5150 grad_norm: 5.7367 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8078 loss: 1.8078 2022/06/28 01:41:43 - mmengine - INFO - Epoch(train) [22][3680/3757] lr: 1.000e-02 eta: 21:32:59 time: 0.881 data_time: 0.007 memory: 5150 grad_norm: 5.8776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0129 loss: 2.0129 2022/06/28 01:41:48 - mmengine - INFO - Epoch(train) [22][3700/3757] lr: 1.000e-02 eta: 21:32:52 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 5.1709 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9101 loss: 1.9101 2022/06/28 01:41:53 - mmengine - INFO - Epoch(train) [22][3720/3757] lr: 1.000e-02 eta: 21:32:45 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 6.2260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1582 loss: 2.1582 2022/06/28 01:41:58 - mmengine - INFO - Epoch(train) [22][3740/3757] lr: 1.000e-02 eta: 21:32:40 time: 0.284 data_time: 0.011 memory: 5150 grad_norm: 5.7406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2756 loss: 2.2756 2022/06/28 01:42:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:42:35 - mmengine - INFO - Epoch(val) [22][20/310] eta: 0:05:59 time: 1.167 data_time: 0.497 memory: 9746 2022/06/28 01:42:57 - mmengine - INFO - Epoch(val) [22][40/310] eta: 0:04:47 time: 1.023 data_time: 0.370 memory: 9746 2022/06/28 01:43:21 - mmengine - INFO - Epoch(val) [22][60/310] eta: 0:04:20 time: 1.069 data_time: 0.453 memory: 9746 2022/06/28 01:43:43 - mmengine - INFO - Epoch(val) [22][80/310] eta: 0:04:33 time: 0.922 data_time: 0.259 memory: 9746 2022/06/28 01:44:07 - mmengine - INFO - Epoch(val) [22][100/310] eta: 0:04:07 time: 1.588 data_time: 0.949 memory: 9746 2022/06/28 01:44:28 - mmengine - INFO - Epoch(val) [22][120/310] eta: 0:03:19 time: 1.079 data_time: 0.428 memory: 9746 2022/06/28 01:44:53 - mmengine - INFO - Epoch(val) [22][140/310] eta: 0:03:28 time: 1.077 data_time: 0.431 memory: 9746 2022/06/28 01:45:18 - mmengine - INFO - Epoch(val) [22][160/310] eta: 0:03:20 time: 3.849 data_time: 3.190 memory: 9746 2022/06/28 01:45:41 - mmengine - INFO - Epoch(val) [22][180/310] eta: 0:02:36 time: 0.966 data_time: 0.307 memory: 9746 2022/06/28 01:46:03 - mmengine - INFO - Epoch(val) [22][200/310] eta: 0:02:11 time: 1.045 data_time: 0.419 memory: 9746 2022/06/28 01:46:24 - mmengine - INFO - Epoch(val) [22][220/310] eta: 0:01:34 time: 1.225 data_time: 0.571 memory: 9746 2022/06/28 01:46:46 - mmengine - INFO - Epoch(val) [22][240/310] eta: 0:01:15 time: 0.950 data_time: 0.300 memory: 9746 2022/06/28 01:47:10 - mmengine - INFO - Epoch(val) [22][260/310] eta: 0:00:59 time: 1.114 data_time: 0.467 memory: 9746 2022/06/28 01:47:33 - mmengine - INFO - Epoch(val) [22][280/310] eta: 0:00:37 time: 1.076 data_time: 0.438 memory: 9746 2022/06/28 01:47:52 - mmengine - INFO - Epoch(val) [22][300/310] eta: 0:00:08 time: 0.839 data_time: 0.076 memory: 9746 2022/06/28 01:48:04 - mmengine - INFO - Epoch(val) [22][310/310] acc/top1: 0.5862 acc/top5: 0.8245 acc/mean1: 0.5861 2022/06/28 01:48:13 - mmengine - INFO - Epoch(train) [23][20/3757] lr: 1.000e-02 eta: 21:32:32 time: 0.198 data_time: 0.007 memory: 9746 grad_norm: 4.7285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0567 loss: 2.0567 2022/06/28 01:48:18 - mmengine - INFO - Epoch(train) [23][40/3757] lr: 1.000e-02 eta: 21:32:28 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.7967 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5411 loss: 2.5411 2022/06/28 01:48:23 - mmengine - INFO - Epoch(train) [23][60/3757] lr: 1.000e-02 eta: 21:32:21 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.0282 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1682 loss: 2.1682 2022/06/28 01:48:29 - mmengine - INFO - Epoch(train) [23][80/3757] lr: 1.000e-02 eta: 21:32:18 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.8816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8747 loss: 1.8747 2022/06/28 01:48:34 - mmengine - INFO - Epoch(train) [23][100/3757] lr: 1.000e-02 eta: 21:32:13 time: 0.313 data_time: 0.013 memory: 5150 grad_norm: 5.8813 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8878 loss: 1.8878 2022/06/28 01:48:39 - mmengine - INFO - Epoch(train) [23][120/3757] lr: 1.000e-02 eta: 21:32:06 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.5487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8564 loss: 1.8564 2022/06/28 01:48:45 - mmengine - INFO - Epoch(train) [23][140/3757] lr: 1.000e-02 eta: 21:32:02 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.1970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2660 loss: 2.2660 2022/06/28 01:48:50 - mmengine - INFO - Epoch(train) [23][160/3757] lr: 1.000e-02 eta: 21:31:58 time: 0.289 data_time: 0.007 memory: 5150 grad_norm: 5.3199 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1225 loss: 2.1225 2022/06/28 01:48:55 - mmengine - INFO - Epoch(train) [23][180/3757] lr: 1.000e-02 eta: 21:31:51 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.4855 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1867 loss: 2.1867 2022/06/28 01:49:01 - mmengine - INFO - Epoch(train) [23][200/3757] lr: 1.000e-02 eta: 21:31:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7131 loss: 1.7131 2022/06/28 01:49:07 - mmengine - INFO - Epoch(train) [23][220/3757] lr: 1.000e-02 eta: 21:31:44 time: 0.378 data_time: 0.021 memory: 5150 grad_norm: 5.1416 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4492 loss: 2.4492 2022/06/28 01:49:12 - mmengine - INFO - Epoch(train) [23][240/3757] lr: 1.000e-02 eta: 21:31:36 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.0146 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4999 loss: 1.4999 2022/06/28 01:49:18 - mmengine - INFO - Epoch(train) [23][260/3757] lr: 1.000e-02 eta: 21:31:34 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.0802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1509 loss: 2.1509 2022/06/28 01:49:24 - mmengine - INFO - Epoch(train) [23][280/3757] lr: 1.000e-02 eta: 21:31:31 time: 1.091 data_time: 0.009 memory: 5150 grad_norm: 5.7222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9991 loss: 1.9991 2022/06/28 01:49:28 - mmengine - INFO - Epoch(train) [23][300/3757] lr: 1.000e-02 eta: 21:31:24 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.2182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1149 loss: 2.1149 2022/06/28 01:49:34 - mmengine - INFO - Epoch(train) [23][320/3757] lr: 1.000e-02 eta: 21:31:20 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.7496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0187 loss: 2.0187 2022/06/28 01:49:40 - mmengine - INFO - Epoch(train) [23][340/3757] lr: 1.000e-02 eta: 21:31:16 time: 0.726 data_time: 0.021 memory: 5150 grad_norm: 5.3243 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9889 loss: 1.9889 2022/06/28 01:49:41 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:49:45 - mmengine - INFO - Epoch(train) [23][360/3757] lr: 1.000e-02 eta: 21:31:09 time: 0.194 data_time: 0.021 memory: 5150 grad_norm: 6.0838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6341 loss: 1.6341 2022/06/28 01:49:50 - mmengine - INFO - Epoch(train) [23][380/3757] lr: 1.000e-02 eta: 21:31:05 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.5462 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8030 loss: 1.8030 2022/06/28 01:49:55 - mmengine - INFO - Epoch(train) [23][400/3757] lr: 1.000e-02 eta: 21:30:59 time: 0.801 data_time: 0.010 memory: 5150 grad_norm: 5.3739 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0119 loss: 2.0119 2022/06/28 01:50:01 - mmengine - INFO - Epoch(train) [23][420/3757] lr: 1.000e-02 eta: 21:30:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.9133 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2766 loss: 2.2766 2022/06/28 01:50:06 - mmengine - INFO - Epoch(train) [23][440/3757] lr: 1.000e-02 eta: 21:30:49 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0174 loss: 2.0174 2022/06/28 01:50:12 - mmengine - INFO - Epoch(train) [23][460/3757] lr: 1.000e-02 eta: 21:30:45 time: 0.835 data_time: 0.011 memory: 5150 grad_norm: 5.2573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1788 loss: 2.1788 2022/06/28 01:50:17 - mmengine - INFO - Epoch(train) [23][480/3757] lr: 1.000e-02 eta: 21:30:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/06/28 01:50:22 - mmengine - INFO - Epoch(train) [23][500/3757] lr: 1.000e-02 eta: 21:30:34 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8661 loss: 1.8661 2022/06/28 01:50:28 - mmengine - INFO - Epoch(train) [23][520/3757] lr: 1.000e-02 eta: 21:30:29 time: 1.081 data_time: 0.009 memory: 5150 grad_norm: 5.0094 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/06/28 01:50:33 - mmengine - INFO - Epoch(train) [23][540/3757] lr: 1.000e-02 eta: 21:30:23 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.2160 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1442 loss: 2.1442 2022/06/28 01:50:38 - mmengine - INFO - Epoch(train) [23][560/3757] lr: 1.000e-02 eta: 21:30:18 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.1080 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1447 loss: 2.1447 2022/06/28 01:50:44 - mmengine - INFO - Epoch(train) [23][580/3757] lr: 1.000e-02 eta: 21:30:14 time: 0.590 data_time: 0.006 memory: 5150 grad_norm: 6.0218 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8217 loss: 1.8217 2022/06/28 01:50:49 - mmengine - INFO - Epoch(train) [23][600/3757] lr: 1.000e-02 eta: 21:30:07 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1124 loss: 2.1124 2022/06/28 01:50:55 - mmengine - INFO - Epoch(train) [23][620/3757] lr: 1.000e-02 eta: 21:30:04 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1179 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0594 loss: 2.0594 2022/06/28 01:51:00 - mmengine - INFO - Epoch(train) [23][640/3757] lr: 1.000e-02 eta: 21:29:59 time: 0.690 data_time: 0.007 memory: 5150 grad_norm: 5.2947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8260 loss: 1.8260 2022/06/28 01:51:05 - mmengine - INFO - Epoch(train) [23][660/3757] lr: 1.000e-02 eta: 21:29:51 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 4.4526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1507 loss: 2.1507 2022/06/28 01:51:10 - mmengine - INFO - Epoch(train) [23][680/3757] lr: 1.000e-02 eta: 21:29:46 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 4.9957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8682 loss: 1.8682 2022/06/28 01:51:16 - mmengine - INFO - Epoch(train) [23][700/3757] lr: 1.000e-02 eta: 21:29:43 time: 0.555 data_time: 0.016 memory: 5150 grad_norm: 5.7184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1202 loss: 2.1202 2022/06/28 01:51:21 - mmengine - INFO - Epoch(train) [23][720/3757] lr: 1.000e-02 eta: 21:29:36 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0374 loss: 2.0374 2022/06/28 01:51:26 - mmengine - INFO - Epoch(train) [23][740/3757] lr: 1.000e-02 eta: 21:29:32 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.1792 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0691 loss: 2.0691 2022/06/28 01:51:32 - mmengine - INFO - Epoch(train) [23][760/3757] lr: 1.000e-02 eta: 21:29:29 time: 1.126 data_time: 0.010 memory: 5150 grad_norm: 5.3827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5037 loss: 2.5037 2022/06/28 01:51:37 - mmengine - INFO - Epoch(train) [23][780/3757] lr: 1.000e-02 eta: 21:29:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.7934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6694 loss: 1.6694 2022/06/28 01:51:43 - mmengine - INFO - Epoch(train) [23][800/3757] lr: 1.000e-02 eta: 21:29:18 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 4.9041 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/06/28 01:51:48 - mmengine - INFO - Epoch(train) [23][820/3757] lr: 1.000e-02 eta: 21:29:12 time: 1.134 data_time: 0.010 memory: 5150 grad_norm: 5.4253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0153 loss: 2.0153 2022/06/28 01:51:53 - mmengine - INFO - Epoch(train) [23][840/3757] lr: 1.000e-02 eta: 21:29:05 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 5.4390 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1705 loss: 2.1705 2022/06/28 01:51:59 - mmengine - INFO - Epoch(train) [23][860/3757] lr: 1.000e-02 eta: 21:29:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.8947 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3496 loss: 2.3496 2022/06/28 01:52:04 - mmengine - INFO - Epoch(train) [23][880/3757] lr: 1.000e-02 eta: 21:28:56 time: 0.878 data_time: 0.007 memory: 5150 grad_norm: 5.1555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0094 loss: 2.0094 2022/06/28 01:52:09 - mmengine - INFO - Epoch(train) [23][900/3757] lr: 1.000e-02 eta: 21:28:49 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 4.4848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9341 loss: 1.9341 2022/06/28 01:52:14 - mmengine - INFO - Epoch(train) [23][920/3757] lr: 1.000e-02 eta: 21:28:44 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.6866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0488 loss: 2.0488 2022/06/28 01:52:20 - mmengine - INFO - Epoch(train) [23][940/3757] lr: 1.000e-02 eta: 21:28:40 time: 1.244 data_time: 0.007 memory: 5150 grad_norm: 5.2665 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9639 loss: 1.9639 2022/06/28 01:52:25 - mmengine - INFO - Epoch(train) [23][960/3757] lr: 1.000e-02 eta: 21:28:34 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.6864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1319 loss: 2.1319 2022/06/28 01:52:31 - mmengine - INFO - Epoch(train) [23][980/3757] lr: 1.000e-02 eta: 21:28:31 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2123 loss: 2.2123 2022/06/28 01:52:36 - mmengine - INFO - Epoch(train) [23][1000/3757] lr: 1.000e-02 eta: 21:28:25 time: 0.680 data_time: 0.007 memory: 5150 grad_norm: 6.2392 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3616 loss: 2.3616 2022/06/28 01:52:41 - mmengine - INFO - Epoch(train) [23][1020/3757] lr: 1.000e-02 eta: 21:28:19 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.1785 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5358 loss: 2.5358 2022/06/28 01:52:46 - mmengine - INFO - Epoch(train) [23][1040/3757] lr: 1.000e-02 eta: 21:28:14 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.3062 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1348 loss: 2.1348 2022/06/28 01:52:51 - mmengine - INFO - Epoch(train) [23][1060/3757] lr: 1.000e-02 eta: 21:28:08 time: 0.339 data_time: 0.007 memory: 5150 grad_norm: 6.1146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2975 loss: 2.2975 2022/06/28 01:52:56 - mmengine - INFO - Epoch(train) [23][1080/3757] lr: 1.000e-02 eta: 21:28:02 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 4.5005 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3169 loss: 2.3169 2022/06/28 01:53:03 - mmengine - INFO - Epoch(train) [23][1100/3757] lr: 1.000e-02 eta: 21:28:01 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 5.2468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0859 loss: 2.0859 2022/06/28 01:53:07 - mmengine - INFO - Epoch(train) [23][1120/3757] lr: 1.000e-02 eta: 21:27:52 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.5053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0935 loss: 2.0935 2022/06/28 01:53:12 - mmengine - INFO - Epoch(train) [23][1140/3757] lr: 1.000e-02 eta: 21:27:45 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0039 loss: 2.0039 2022/06/28 01:53:17 - mmengine - INFO - Epoch(train) [23][1160/3757] lr: 1.000e-02 eta: 21:27:40 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 5.2292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3117 loss: 2.3117 2022/06/28 01:53:24 - mmengine - INFO - Epoch(train) [23][1180/3757] lr: 1.000e-02 eta: 21:27:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.0992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1541 loss: 2.1541 2022/06/28 01:53:28 - mmengine - INFO - Epoch(train) [23][1200/3757] lr: 1.000e-02 eta: 21:27:28 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.8959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8194 loss: 1.8194 2022/06/28 01:53:33 - mmengine - INFO - Epoch(train) [23][1220/3757] lr: 1.000e-02 eta: 21:27:24 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.3250 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9437 loss: 1.9437 2022/06/28 01:53:38 - mmengine - INFO - Epoch(train) [23][1240/3757] lr: 1.000e-02 eta: 21:27:17 time: 0.476 data_time: 0.007 memory: 5150 grad_norm: 5.8991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1907 loss: 2.1907 2022/06/28 01:53:44 - mmengine - INFO - Epoch(train) [23][1260/3757] lr: 1.000e-02 eta: 21:27:12 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.2032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1275 loss: 2.1275 2022/06/28 01:53:49 - mmengine - INFO - Epoch(train) [23][1280/3757] lr: 1.000e-02 eta: 21:27:07 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 6.2974 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1850 loss: 2.1850 2022/06/28 01:53:55 - mmengine - INFO - Epoch(train) [23][1300/3757] lr: 1.000e-02 eta: 21:27:04 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.0286 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3267 loss: 2.3267 2022/06/28 01:54:00 - mmengine - INFO - Epoch(train) [23][1320/3757] lr: 1.000e-02 eta: 21:26:59 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8678 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9804 loss: 1.9804 2022/06/28 01:54:05 - mmengine - INFO - Epoch(train) [23][1340/3757] lr: 1.000e-02 eta: 21:26:53 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.7117 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4495 loss: 2.4495 2022/06/28 01:54:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:54:11 - mmengine - INFO - Epoch(train) [23][1360/3757] lr: 1.000e-02 eta: 21:26:48 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.0593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6913 loss: 1.6913 2022/06/28 01:54:16 - mmengine - INFO - Epoch(train) [23][1380/3757] lr: 1.000e-02 eta: 21:26:42 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.2717 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9839 loss: 1.9839 2022/06/28 01:54:21 - mmengine - INFO - Epoch(train) [23][1400/3757] lr: 1.000e-02 eta: 21:26:37 time: 0.198 data_time: 0.021 memory: 5150 grad_norm: 5.8611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8385 loss: 1.8385 2022/06/28 01:54:27 - mmengine - INFO - Epoch(train) [23][1420/3757] lr: 1.000e-02 eta: 21:26:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9324 loss: 1.9324 2022/06/28 01:54:32 - mmengine - INFO - Epoch(train) [23][1440/3757] lr: 1.000e-02 eta: 21:26:28 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.6467 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9039 loss: 1.9039 2022/06/28 01:54:37 - mmengine - INFO - Epoch(train) [23][1460/3757] lr: 1.000e-02 eta: 21:26:22 time: 0.211 data_time: 0.019 memory: 5150 grad_norm: 5.6506 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3391 loss: 2.3391 2022/06/28 01:54:43 - mmengine - INFO - Epoch(train) [23][1480/3757] lr: 1.000e-02 eta: 21:26:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.1949 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9814 loss: 1.9814 2022/06/28 01:54:48 - mmengine - INFO - Epoch(train) [23][1500/3757] lr: 1.000e-02 eta: 21:26:13 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.4095 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4208 loss: 2.4208 2022/06/28 01:54:53 - mmengine - INFO - Epoch(train) [23][1520/3757] lr: 1.000e-02 eta: 21:26:06 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 5.5909 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2655 loss: 2.2655 2022/06/28 01:54:59 - mmengine - INFO - Epoch(train) [23][1540/3757] lr: 1.000e-02 eta: 21:26:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6532 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9941 loss: 1.9941 2022/06/28 01:55:05 - mmengine - INFO - Epoch(train) [23][1560/3757] lr: 1.000e-02 eta: 21:25:59 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.2593 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9856 loss: 1.9856 2022/06/28 01:55:10 - mmengine - INFO - Epoch(train) [23][1580/3757] lr: 1.000e-02 eta: 21:25:53 time: 0.212 data_time: 0.024 memory: 5150 grad_norm: 5.8787 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3385 loss: 2.3385 2022/06/28 01:55:16 - mmengine - INFO - Epoch(train) [23][1600/3757] lr: 1.000e-02 eta: 21:25:49 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.4797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0201 loss: 2.0201 2022/06/28 01:55:21 - mmengine - INFO - Epoch(train) [23][1620/3757] lr: 1.000e-02 eta: 21:25:44 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.4890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2519 loss: 2.2519 2022/06/28 01:55:27 - mmengine - INFO - Epoch(train) [23][1640/3757] lr: 1.000e-02 eta: 21:25:40 time: 0.224 data_time: 0.006 memory: 5150 grad_norm: 5.9336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1253 loss: 2.1253 2022/06/28 01:55:31 - mmengine - INFO - Epoch(train) [23][1660/3757] lr: 1.000e-02 eta: 21:25:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.8962 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8391 loss: 1.8391 2022/06/28 01:55:37 - mmengine - INFO - Epoch(train) [23][1680/3757] lr: 1.000e-02 eta: 21:25:28 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1253 loss: 2.1253 2022/06/28 01:55:43 - mmengine - INFO - Epoch(train) [23][1700/3757] lr: 1.000e-02 eta: 21:25:25 time: 0.242 data_time: 0.011 memory: 5150 grad_norm: 5.2707 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6449 loss: 1.6449 2022/06/28 01:55:47 - mmengine - INFO - Epoch(train) [23][1720/3757] lr: 1.000e-02 eta: 21:25:17 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2865 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1858 loss: 2.1858 2022/06/28 01:55:53 - mmengine - INFO - Epoch(train) [23][1740/3757] lr: 1.000e-02 eta: 21:25:14 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9069 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9412 loss: 1.9412 2022/06/28 01:55:58 - mmengine - INFO - Epoch(train) [23][1760/3757] lr: 1.000e-02 eta: 21:25:08 time: 0.226 data_time: 0.011 memory: 5150 grad_norm: 5.4809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1144 loss: 2.1144 2022/06/28 01:56:04 - mmengine - INFO - Epoch(train) [23][1780/3757] lr: 1.000e-02 eta: 21:25:05 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.3659 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1480 loss: 2.1480 2022/06/28 01:56:09 - mmengine - INFO - Epoch(train) [23][1800/3757] lr: 1.000e-02 eta: 21:24:57 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2848 loss: 2.2848 2022/06/28 01:56:15 - mmengine - INFO - Epoch(train) [23][1820/3757] lr: 1.000e-02 eta: 21:24:54 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.4219 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0636 loss: 2.0636 2022/06/28 01:56:19 - mmengine - INFO - Epoch(train) [23][1840/3757] lr: 1.000e-02 eta: 21:24:46 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7269 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1319 loss: 2.1319 2022/06/28 01:56:25 - mmengine - INFO - Epoch(train) [23][1860/3757] lr: 1.000e-02 eta: 21:24:42 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.5851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8368 loss: 1.8368 2022/06/28 01:56:30 - mmengine - INFO - Epoch(train) [23][1880/3757] lr: 1.000e-02 eta: 21:24:35 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.5816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1685 loss: 2.1685 2022/06/28 01:56:35 - mmengine - INFO - Epoch(train) [23][1900/3757] lr: 1.000e-02 eta: 21:24:29 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0483 loss: 2.0483 2022/06/28 01:56:40 - mmengine - INFO - Epoch(train) [23][1920/3757] lr: 1.000e-02 eta: 21:24:24 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8109 loss: 1.8109 2022/06/28 01:56:46 - mmengine - INFO - Epoch(train) [23][1940/3757] lr: 1.000e-02 eta: 21:24:20 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3630 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9481 loss: 1.9481 2022/06/28 01:56:51 - mmengine - INFO - Epoch(train) [23][1960/3757] lr: 1.000e-02 eta: 21:24:13 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9736 loss: 1.9736 2022/06/28 01:56:57 - mmengine - INFO - Epoch(train) [23][1980/3757] lr: 1.000e-02 eta: 21:24:10 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 5.1733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0832 loss: 2.0832 2022/06/28 01:57:03 - mmengine - INFO - Epoch(train) [23][2000/3757] lr: 1.000e-02 eta: 21:24:08 time: 0.220 data_time: 0.013 memory: 5150 grad_norm: 5.5286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9150 loss: 1.9150 2022/06/28 01:57:07 - mmengine - INFO - Epoch(train) [23][2020/3757] lr: 1.000e-02 eta: 21:23:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4557 loss: 2.4557 2022/06/28 01:57:13 - mmengine - INFO - Epoch(train) [23][2040/3757] lr: 1.000e-02 eta: 21:23:55 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.5798 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0796 loss: 2.0796 2022/06/28 01:57:19 - mmengine - INFO - Epoch(train) [23][2060/3757] lr: 1.000e-02 eta: 21:23:51 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 5.8709 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9604 loss: 1.9604 2022/06/28 01:57:23 - mmengine - INFO - Epoch(train) [23][2080/3757] lr: 1.000e-02 eta: 21:23:43 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 4.9007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2593 loss: 2.2593 2022/06/28 01:57:29 - mmengine - INFO - Epoch(train) [23][2100/3757] lr: 1.000e-02 eta: 21:23:40 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 5.1324 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2469 loss: 2.2469 2022/06/28 01:57:35 - mmengine - INFO - Epoch(train) [23][2120/3757] lr: 1.000e-02 eta: 21:23:36 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.0507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2693 loss: 2.2693 2022/06/28 01:57:39 - mmengine - INFO - Epoch(train) [23][2140/3757] lr: 1.000e-02 eta: 21:23:28 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.9921 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9928 loss: 1.9928 2022/06/28 01:57:45 - mmengine - INFO - Epoch(train) [23][2160/3757] lr: 1.000e-02 eta: 21:23:23 time: 0.208 data_time: 0.034 memory: 5150 grad_norm: 4.8186 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6672 loss: 1.6672 2022/06/28 01:57:50 - mmengine - INFO - Epoch(train) [23][2180/3757] lr: 1.000e-02 eta: 21:23:18 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.7268 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2906 loss: 2.2906 2022/06/28 01:57:55 - mmengine - INFO - Epoch(train) [23][2200/3757] lr: 1.000e-02 eta: 21:23:13 time: 0.602 data_time: 0.007 memory: 5150 grad_norm: 6.6936 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0922 loss: 2.0922 2022/06/28 01:58:01 - mmengine - INFO - Epoch(train) [23][2220/3757] lr: 1.000e-02 eta: 21:23:07 time: 0.207 data_time: 0.027 memory: 5150 grad_norm: 5.9707 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4270 loss: 2.4270 2022/06/28 01:58:06 - mmengine - INFO - Epoch(train) [23][2240/3757] lr: 1.000e-02 eta: 21:23:01 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.2863 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1452 loss: 2.1452 2022/06/28 01:58:11 - mmengine - INFO - Epoch(train) [23][2260/3757] lr: 1.000e-02 eta: 21:22:56 time: 0.498 data_time: 0.007 memory: 5150 grad_norm: 6.0151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1632 loss: 2.1632 2022/06/28 01:58:17 - mmengine - INFO - Epoch(train) [23][2280/3757] lr: 1.000e-02 eta: 21:22:53 time: 0.205 data_time: 0.027 memory: 5150 grad_norm: 5.9879 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0132 loss: 2.0132 2022/06/28 01:58:22 - mmengine - INFO - Epoch(train) [23][2300/3757] lr: 1.000e-02 eta: 21:22:45 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 5.8587 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9412 loss: 1.9412 2022/06/28 01:58:27 - mmengine - INFO - Epoch(train) [23][2320/3757] lr: 1.000e-02 eta: 21:22:39 time: 0.407 data_time: 0.007 memory: 5150 grad_norm: 4.7713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0848 loss: 2.0848 2022/06/28 01:58:32 - mmengine - INFO - Epoch(train) [23][2340/3757] lr: 1.000e-02 eta: 21:22:35 time: 0.548 data_time: 0.373 memory: 5150 grad_norm: 5.5031 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4842 loss: 2.4842 2022/06/28 01:58:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 01:58:37 - mmengine - INFO - Epoch(train) [23][2360/3757] lr: 1.000e-02 eta: 21:22:29 time: 0.211 data_time: 0.035 memory: 5150 grad_norm: 5.4892 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3345 loss: 2.3345 2022/06/28 01:58:43 - mmengine - INFO - Epoch(train) [23][2380/3757] lr: 1.000e-02 eta: 21:22:26 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.4252 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5186 loss: 2.5186 2022/06/28 01:58:49 - mmengine - INFO - Epoch(train) [23][2400/3757] lr: 1.000e-02 eta: 21:22:23 time: 0.963 data_time: 0.796 memory: 5150 grad_norm: 5.3416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2412 loss: 2.2412 2022/06/28 01:58:55 - mmengine - INFO - Epoch(train) [23][2420/3757] lr: 1.000e-02 eta: 21:22:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3108 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0575 loss: 2.0575 2022/06/28 01:58:59 - mmengine - INFO - Epoch(train) [23][2440/3757] lr: 1.000e-02 eta: 21:22:10 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.3784 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4681 loss: 2.4681 2022/06/28 01:59:04 - mmengine - INFO - Epoch(train) [23][2460/3757] lr: 1.000e-02 eta: 21:22:04 time: 1.108 data_time: 0.937 memory: 5150 grad_norm: 5.7536 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9020 loss: 1.9020 2022/06/28 01:59:09 - mmengine - INFO - Epoch(train) [23][2480/3757] lr: 1.000e-02 eta: 21:21:58 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.8354 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1731 loss: 2.1731 2022/06/28 01:59:15 - mmengine - INFO - Epoch(train) [23][2500/3757] lr: 1.000e-02 eta: 21:21:54 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.7832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5108 loss: 2.5108 2022/06/28 01:59:20 - mmengine - INFO - Epoch(train) [23][2520/3757] lr: 1.000e-02 eta: 21:21:49 time: 0.774 data_time: 0.598 memory: 5150 grad_norm: 5.6822 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0904 loss: 2.0904 2022/06/28 01:59:25 - mmengine - INFO - Epoch(train) [23][2540/3757] lr: 1.000e-02 eta: 21:21:42 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.6143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1173 loss: 2.1173 2022/06/28 01:59:31 - mmengine - INFO - Epoch(train) [23][2560/3757] lr: 1.000e-02 eta: 21:21:37 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3040 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9953 loss: 1.9953 2022/06/28 01:59:36 - mmengine - INFO - Epoch(train) [23][2580/3757] lr: 1.000e-02 eta: 21:21:33 time: 1.053 data_time: 0.877 memory: 5150 grad_norm: 6.0595 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6641 loss: 1.6641 2022/06/28 01:59:41 - mmengine - INFO - Epoch(train) [23][2600/3757] lr: 1.000e-02 eta: 21:21:26 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2034 loss: 2.2034 2022/06/28 01:59:47 - mmengine - INFO - Epoch(train) [23][2620/3757] lr: 1.000e-02 eta: 21:21:22 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 4.9213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1635 loss: 2.1635 2022/06/28 01:59:52 - mmengine - INFO - Epoch(train) [23][2640/3757] lr: 1.000e-02 eta: 21:21:18 time: 0.839 data_time: 0.329 memory: 5150 grad_norm: 5.4150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8411 loss: 1.8411 2022/06/28 01:59:57 - mmengine - INFO - Epoch(train) [23][2660/3757] lr: 1.000e-02 eta: 21:21:11 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0720 loss: 2.0720 2022/06/28 02:00:07 - mmengine - INFO - Epoch(train) [23][2680/3757] lr: 1.000e-02 eta: 21:21:19 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.5105 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1835 loss: 2.1835 2022/06/28 02:00:11 - mmengine - INFO - Epoch(train) [23][2700/3757] lr: 1.000e-02 eta: 21:21:10 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 5.6762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2896 loss: 2.2896 2022/06/28 02:00:15 - mmengine - INFO - Epoch(train) [23][2720/3757] lr: 1.000e-02 eta: 21:21:01 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.5724 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9628 loss: 1.9628 2022/06/28 02:00:19 - mmengine - INFO - Epoch(train) [23][2740/3757] lr: 1.000e-02 eta: 21:20:52 time: 0.195 data_time: 0.018 memory: 5150 grad_norm: 5.5730 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1644 loss: 2.1644 2022/06/28 02:00:24 - mmengine - INFO - Epoch(train) [23][2760/3757] lr: 1.000e-02 eta: 21:20:46 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.9326 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7991 loss: 1.7991 2022/06/28 02:00:29 - mmengine - INFO - Epoch(train) [23][2780/3757] lr: 1.000e-02 eta: 21:20:40 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 5.4329 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9197 loss: 1.9197 2022/06/28 02:00:35 - mmengine - INFO - Epoch(train) [23][2800/3757] lr: 1.000e-02 eta: 21:20:36 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.2622 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2344 loss: 2.2344 2022/06/28 02:00:40 - mmengine - INFO - Epoch(train) [23][2820/3757] lr: 1.000e-02 eta: 21:20:31 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5489 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8464 loss: 1.8464 2022/06/28 02:00:46 - mmengine - INFO - Epoch(train) [23][2840/3757] lr: 1.000e-02 eta: 21:20:26 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9058 loss: 1.9058 2022/06/28 02:00:51 - mmengine - INFO - Epoch(train) [23][2860/3757] lr: 1.000e-02 eta: 21:20:22 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 5.8459 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8636 loss: 1.8636 2022/06/28 02:00:56 - mmengine - INFO - Epoch(train) [23][2880/3757] lr: 1.000e-02 eta: 21:20:15 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.5055 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0552 loss: 2.0552 2022/06/28 02:01:02 - mmengine - INFO - Epoch(train) [23][2900/3757] lr: 1.000e-02 eta: 21:20:11 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6025 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9368 loss: 1.9368 2022/06/28 02:01:08 - mmengine - INFO - Epoch(train) [23][2920/3757] lr: 1.000e-02 eta: 21:20:07 time: 0.702 data_time: 0.007 memory: 5150 grad_norm: 6.6972 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7297 loss: 2.7297 2022/06/28 02:01:12 - mmengine - INFO - Epoch(train) [23][2940/3757] lr: 1.000e-02 eta: 21:20:00 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 5.7572 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2975 loss: 2.2975 2022/06/28 02:01:18 - mmengine - INFO - Epoch(train) [23][2960/3757] lr: 1.000e-02 eta: 21:19:55 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.6099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1517 loss: 2.1517 2022/06/28 02:01:24 - mmengine - INFO - Epoch(train) [23][2980/3757] lr: 1.000e-02 eta: 21:19:52 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.6047 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1826 loss: 2.1826 2022/06/28 02:01:28 - mmengine - INFO - Epoch(train) [23][3000/3757] lr: 1.000e-02 eta: 21:19:43 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 5.1485 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2375 loss: 2.2375 2022/06/28 02:01:34 - mmengine - INFO - Epoch(train) [23][3020/3757] lr: 1.000e-02 eta: 21:19:40 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.9603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5470 loss: 2.5470 2022/06/28 02:01:39 - mmengine - INFO - Epoch(train) [23][3040/3757] lr: 1.000e-02 eta: 21:19:35 time: 0.260 data_time: 0.006 memory: 5150 grad_norm: 5.5650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9299 loss: 1.9299 2022/06/28 02:01:45 - mmengine - INFO - Epoch(train) [23][3060/3757] lr: 1.000e-02 eta: 21:19:30 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 5.1834 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8715 loss: 1.8715 2022/06/28 02:01:50 - mmengine - INFO - Epoch(train) [23][3080/3757] lr: 1.000e-02 eta: 21:19:24 time: 0.200 data_time: 0.023 memory: 5150 grad_norm: 5.6691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7817 loss: 1.7817 2022/06/28 02:01:55 - mmengine - INFO - Epoch(train) [23][3100/3757] lr: 1.000e-02 eta: 21:19:19 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.2864 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9829 loss: 1.9829 2022/06/28 02:02:00 - mmengine - INFO - Epoch(train) [23][3120/3757] lr: 1.000e-02 eta: 21:19:14 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.2539 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0684 loss: 2.0684 2022/06/28 02:02:06 - mmengine - INFO - Epoch(train) [23][3140/3757] lr: 1.000e-02 eta: 21:19:09 time: 0.199 data_time: 0.029 memory: 5150 grad_norm: 5.4621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9536 loss: 1.9536 2022/06/28 02:02:12 - mmengine - INFO - Epoch(train) [23][3160/3757] lr: 1.000e-02 eta: 21:19:05 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.9408 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9833 loss: 1.9833 2022/06/28 02:02:16 - mmengine - INFO - Epoch(train) [23][3180/3757] lr: 1.000e-02 eta: 21:18:58 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.5649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3472 loss: 2.3472 2022/06/28 02:02:22 - mmengine - INFO - Epoch(train) [23][3200/3757] lr: 1.000e-02 eta: 21:18:54 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.2951 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1584 loss: 2.1584 2022/06/28 02:02:27 - mmengine - INFO - Epoch(train) [23][3220/3757] lr: 1.000e-02 eta: 21:18:48 time: 0.518 data_time: 0.007 memory: 5150 grad_norm: 5.0334 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3239 loss: 2.3239 2022/06/28 02:02:32 - mmengine - INFO - Epoch(train) [23][3240/3757] lr: 1.000e-02 eta: 21:18:42 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.0974 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0355 loss: 2.0355 2022/06/28 02:02:38 - mmengine - INFO - Epoch(train) [23][3260/3757] lr: 1.000e-02 eta: 21:18:36 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.5034 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5615 loss: 2.5615 2022/06/28 02:02:43 - mmengine - INFO - Epoch(train) [23][3280/3757] lr: 1.000e-02 eta: 21:18:31 time: 0.564 data_time: 0.007 memory: 5150 grad_norm: 5.7693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1819 loss: 2.1819 2022/06/28 02:02:48 - mmengine - INFO - Epoch(train) [23][3300/3757] lr: 1.000e-02 eta: 21:18:26 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4217 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3752 loss: 2.3752 2022/06/28 02:02:55 - mmengine - INFO - Epoch(train) [23][3320/3757] lr: 1.000e-02 eta: 21:18:24 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.3839 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2334 loss: 2.2334 2022/06/28 02:02:59 - mmengine - INFO - Epoch(train) [23][3340/3757] lr: 1.000e-02 eta: 21:18:15 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.0030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9143 loss: 1.9143 2022/06/28 02:03:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:03:05 - mmengine - INFO - Epoch(train) [23][3360/3757] lr: 1.000e-02 eta: 21:18:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8435 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6147 loss: 1.6147 2022/06/28 02:03:10 - mmengine - INFO - Epoch(train) [23][3380/3757] lr: 1.000e-02 eta: 21:18:05 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 5.2996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0425 loss: 2.0425 2022/06/28 02:03:15 - mmengine - INFO - Epoch(train) [23][3400/3757] lr: 1.000e-02 eta: 21:18:01 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.5450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2006 loss: 2.2006 2022/06/28 02:03:21 - mmengine - INFO - Epoch(train) [23][3420/3757] lr: 1.000e-02 eta: 21:17:56 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5540 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.2976 loss: 2.2976 2022/06/28 02:03:25 - mmengine - INFO - Epoch(train) [23][3440/3757] lr: 1.000e-02 eta: 21:17:49 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/06/28 02:03:31 - mmengine - INFO - Epoch(train) [23][3460/3757] lr: 1.000e-02 eta: 21:17:44 time: 0.415 data_time: 0.006 memory: 5150 grad_norm: 5.0388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5255 loss: 2.5255 2022/06/28 02:03:36 - mmengine - INFO - Epoch(train) [23][3480/3757] lr: 1.000e-02 eta: 21:17:38 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7442 loss: 1.7442 2022/06/28 02:03:41 - mmengine - INFO - Epoch(train) [23][3500/3757] lr: 1.000e-02 eta: 21:17:33 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.2761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7673 loss: 1.7673 2022/06/28 02:03:47 - mmengine - INFO - Epoch(train) [23][3520/3757] lr: 1.000e-02 eta: 21:17:28 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 6.3834 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4125 loss: 2.4125 2022/06/28 02:03:52 - mmengine - INFO - Epoch(train) [23][3540/3757] lr: 1.000e-02 eta: 21:17:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.9646 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2249 loss: 2.2249 2022/06/28 02:03:57 - mmengine - INFO - Epoch(train) [23][3560/3757] lr: 1.000e-02 eta: 21:17:17 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.0970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8421 loss: 1.8421 2022/06/28 02:04:03 - mmengine - INFO - Epoch(train) [23][3580/3757] lr: 1.000e-02 eta: 21:17:14 time: 0.792 data_time: 0.007 memory: 5150 grad_norm: 5.6418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8306 loss: 1.8306 2022/06/28 02:04:08 - mmengine - INFO - Epoch(train) [23][3600/3757] lr: 1.000e-02 eta: 21:17:08 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.7376 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9974 loss: 1.9974 2022/06/28 02:04:14 - mmengine - INFO - Epoch(train) [23][3620/3757] lr: 1.000e-02 eta: 21:17:04 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2416 loss: 2.2416 2022/06/28 02:04:19 - mmengine - INFO - Epoch(train) [23][3640/3757] lr: 1.000e-02 eta: 21:16:59 time: 0.449 data_time: 0.007 memory: 5150 grad_norm: 5.5736 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/06/28 02:04:24 - mmengine - INFO - Epoch(train) [23][3660/3757] lr: 1.000e-02 eta: 21:16:53 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4660 loss: 2.4660 2022/06/28 02:04:30 - mmengine - INFO - Epoch(train) [23][3680/3757] lr: 1.000e-02 eta: 21:16:48 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 6.0158 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2124 loss: 2.2124 2022/06/28 02:04:35 - mmengine - INFO - Epoch(train) [23][3700/3757] lr: 1.000e-02 eta: 21:16:42 time: 0.245 data_time: 0.006 memory: 5150 grad_norm: 5.8018 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4369 loss: 2.4369 2022/06/28 02:04:40 - mmengine - INFO - Epoch(train) [23][3720/3757] lr: 1.000e-02 eta: 21:16:36 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.0633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/06/28 02:04:45 - mmengine - INFO - Epoch(train) [23][3740/3757] lr: 1.000e-02 eta: 21:16:31 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.2846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2314 loss: 2.2314 2022/06/28 02:04:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:05:22 - mmengine - INFO - Epoch(val) [23][20/310] eta: 0:05:50 time: 1.203 data_time: 0.541 memory: 9746 2022/06/28 02:05:43 - mmengine - INFO - Epoch(val) [23][40/310] eta: 0:04:49 time: 0.932 data_time: 0.270 memory: 9746 2022/06/28 02:06:07 - mmengine - INFO - Epoch(val) [23][60/310] eta: 0:04:18 time: 1.081 data_time: 0.429 memory: 9746 2022/06/28 02:06:31 - mmengine - INFO - Epoch(val) [23][80/310] eta: 0:04:45 time: 1.022 data_time: 0.393 memory: 9746 2022/06/28 02:06:55 - mmengine - INFO - Epoch(val) [23][100/310] eta: 0:04:09 time: 2.384 data_time: 1.708 memory: 9746 2022/06/28 02:07:17 - mmengine - INFO - Epoch(val) [23][120/310] eta: 0:03:28 time: 1.116 data_time: 0.477 memory: 9746 2022/06/28 02:07:40 - mmengine - INFO - Epoch(val) [23][140/310] eta: 0:03:19 time: 1.103 data_time: 0.448 memory: 9746 2022/06/28 02:08:05 - mmengine - INFO - Epoch(val) [23][160/310] eta: 0:03:21 time: 3.859 data_time: 3.206 memory: 9746 2022/06/28 02:08:29 - mmengine - INFO - Epoch(val) [23][180/310] eta: 0:02:48 time: 1.019 data_time: 0.365 memory: 9746 2022/06/28 02:08:50 - mmengine - INFO - Epoch(val) [23][200/310] eta: 0:02:05 time: 1.119 data_time: 0.470 memory: 9746 2022/06/28 02:09:12 - mmengine - INFO - Epoch(val) [23][220/310] eta: 0:01:35 time: 1.175 data_time: 0.533 memory: 9746 2022/06/28 02:09:34 - mmengine - INFO - Epoch(val) [23][240/310] eta: 0:01:18 time: 1.068 data_time: 0.438 memory: 9746 2022/06/28 02:09:56 - mmengine - INFO - Epoch(val) [23][260/310] eta: 0:00:56 time: 1.095 data_time: 0.449 memory: 9746 2022/06/28 02:10:19 - mmengine - INFO - Epoch(val) [23][280/310] eta: 0:00:32 time: 1.881 data_time: 1.243 memory: 9746 2022/06/28 02:10:39 - mmengine - INFO - Epoch(val) [23][300/310] eta: 0:00:08 time: 0.641 data_time: 0.072 memory: 9746 2022/06/28 02:10:51 - mmengine - INFO - Epoch(val) [23][310/310] acc/top1: 0.5939 acc/top5: 0.8330 acc/mean1: 0.5937 2022/06/28 02:11:00 - mmengine - INFO - Epoch(train) [24][20/3757] lr: 1.000e-02 eta: 21:16:23 time: 0.207 data_time: 0.006 memory: 9746 grad_norm: 5.2494 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9746 loss: 1.9746 2022/06/28 02:11:06 - mmengine - INFO - Epoch(train) [24][40/3757] lr: 1.000e-02 eta: 21:16:21 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2189 loss: 2.2189 2022/06/28 02:11:10 - mmengine - INFO - Epoch(train) [24][60/3757] lr: 1.000e-02 eta: 21:16:13 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.4336 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8797 loss: 1.8797 2022/06/28 02:11:16 - mmengine - INFO - Epoch(train) [24][80/3757] lr: 1.000e-02 eta: 21:16:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2526 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3718 loss: 2.3718 2022/06/28 02:11:21 - mmengine - INFO - Epoch(train) [24][100/3757] lr: 1.000e-02 eta: 21:16:04 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.5518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7850 loss: 1.7850 2022/06/28 02:11:26 - mmengine - INFO - Epoch(train) [24][120/3757] lr: 1.000e-02 eta: 21:15:58 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.6829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1147 loss: 2.1147 2022/06/28 02:11:32 - mmengine - INFO - Epoch(train) [24][140/3757] lr: 1.000e-02 eta: 21:15:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.8025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/06/28 02:11:38 - mmengine - INFO - Epoch(train) [24][160/3757] lr: 1.000e-02 eta: 21:15:52 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 4.8515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7434 loss: 1.7434 2022/06/28 02:11:43 - mmengine - INFO - Epoch(train) [24][180/3757] lr: 1.000e-02 eta: 21:15:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.2871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0200 loss: 2.0200 2022/06/28 02:11:49 - mmengine - INFO - Epoch(train) [24][200/3757] lr: 1.000e-02 eta: 21:15:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5377 loss: 1.5377 2022/06/28 02:11:55 - mmengine - INFO - Epoch(train) [24][220/3757] lr: 1.000e-02 eta: 21:15:39 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.4855 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7487 loss: 1.7487 2022/06/28 02:11:59 - mmengine - INFO - Epoch(train) [24][240/3757] lr: 1.000e-02 eta: 21:15:30 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 6.3328 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.3248 loss: 2.3248 2022/06/28 02:12:04 - mmengine - INFO - Epoch(train) [24][260/3757] lr: 1.000e-02 eta: 21:15:22 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 4.4660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2116 loss: 2.2116 2022/06/28 02:12:09 - mmengine - INFO - Epoch(train) [24][280/3757] lr: 1.000e-02 eta: 21:15:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7434 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2317 loss: 2.2317 2022/06/28 02:12:14 - mmengine - INFO - Epoch(train) [24][300/3757] lr: 1.000e-02 eta: 21:15:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7605 loss: 1.7605 2022/06/28 02:12:20 - mmengine - INFO - Epoch(train) [24][320/3757] lr: 1.000e-02 eta: 21:15:08 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.1483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1450 loss: 2.1450 2022/06/28 02:12:26 - mmengine - INFO - Epoch(train) [24][340/3757] lr: 1.000e-02 eta: 21:15:04 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9571 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1228 loss: 2.1228 2022/06/28 02:12:31 - mmengine - INFO - Epoch(train) [24][360/3757] lr: 1.000e-02 eta: 21:14:58 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.9613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8916 loss: 1.8916 2022/06/28 02:12:36 - mmengine - INFO - Epoch(train) [24][380/3757] lr: 1.000e-02 eta: 21:14:53 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.8412 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2437 loss: 2.2437 2022/06/28 02:12:42 - mmengine - INFO - Epoch(train) [24][400/3757] lr: 1.000e-02 eta: 21:14:48 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1694 loss: 2.1694 2022/06/28 02:12:47 - mmengine - INFO - Epoch(train) [24][420/3757] lr: 1.000e-02 eta: 21:14:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8722 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1378 loss: 2.1378 2022/06/28 02:12:52 - mmengine - INFO - Epoch(train) [24][440/3757] lr: 1.000e-02 eta: 21:14:36 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8978 loss: 1.8978 2022/06/28 02:12:57 - mmengine - INFO - Epoch(train) [24][460/3757] lr: 1.000e-02 eta: 21:14:31 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.0721 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6595 loss: 2.6595 2022/06/28 02:13:03 - mmengine - INFO - Epoch(train) [24][480/3757] lr: 1.000e-02 eta: 21:14:25 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2246 loss: 2.2246 2022/06/28 02:13:08 - mmengine - INFO - Epoch(train) [24][500/3757] lr: 1.000e-02 eta: 21:14:21 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.3806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1464 loss: 2.1464 2022/06/28 02:13:14 - mmengine - INFO - Epoch(train) [24][520/3757] lr: 1.000e-02 eta: 21:14:16 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6416 loss: 1.6416 2022/06/28 02:13:18 - mmengine - INFO - Epoch(train) [24][540/3757] lr: 1.000e-02 eta: 21:14:09 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0893 loss: 2.0893 2022/06/28 02:13:23 - mmengine - INFO - Epoch(train) [24][560/3757] lr: 1.000e-02 eta: 21:14:03 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.0205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7350 loss: 1.7350 2022/06/28 02:13:29 - mmengine - INFO - Epoch(train) [24][580/3757] lr: 1.000e-02 eta: 21:13:59 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6748 loss: 1.6748 2022/06/28 02:13:31 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:13:34 - mmengine - INFO - Epoch(train) [24][600/3757] lr: 1.000e-02 eta: 21:13:53 time: 0.581 data_time: 0.006 memory: 5150 grad_norm: 6.0072 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2669 loss: 2.2669 2022/06/28 02:13:40 - mmengine - INFO - Epoch(train) [24][620/3757] lr: 1.000e-02 eta: 21:13:48 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 5.6240 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0098 loss: 2.0098 2022/06/28 02:13:46 - mmengine - INFO - Epoch(train) [24][640/3757] lr: 1.000e-02 eta: 21:13:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 4.9969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/06/28 02:13:50 - mmengine - INFO - Epoch(train) [24][660/3757] lr: 1.000e-02 eta: 21:13:38 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.2236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1938 loss: 2.1938 2022/06/28 02:13:56 - mmengine - INFO - Epoch(train) [24][680/3757] lr: 1.000e-02 eta: 21:13:34 time: 0.231 data_time: 0.010 memory: 5150 grad_norm: 5.6025 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2070 loss: 2.2070 2022/06/28 02:14:02 - mmengine - INFO - Epoch(train) [24][700/3757] lr: 1.000e-02 eta: 21:13:29 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2239 loss: 2.2239 2022/06/28 02:14:07 - mmengine - INFO - Epoch(train) [24][720/3757] lr: 1.000e-02 eta: 21:13:23 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.7624 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5787 loss: 2.5787 2022/06/28 02:14:12 - mmengine - INFO - Epoch(train) [24][740/3757] lr: 1.000e-02 eta: 21:13:17 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.8275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9793 loss: 1.9793 2022/06/28 02:14:17 - mmengine - INFO - Epoch(train) [24][760/3757] lr: 1.000e-02 eta: 21:13:12 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.3664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2331 loss: 2.2331 2022/06/28 02:14:22 - mmengine - INFO - Epoch(train) [24][780/3757] lr: 1.000e-02 eta: 21:13:05 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1284 loss: 2.1284 2022/06/28 02:14:28 - mmengine - INFO - Epoch(train) [24][800/3757] lr: 1.000e-02 eta: 21:13:02 time: 0.848 data_time: 0.006 memory: 5150 grad_norm: 5.4499 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4295 loss: 2.4295 2022/06/28 02:14:33 - mmengine - INFO - Epoch(train) [24][820/3757] lr: 1.000e-02 eta: 21:12:55 time: 0.195 data_time: 0.018 memory: 5150 grad_norm: 5.2299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6341 loss: 1.6341 2022/06/28 02:14:38 - mmengine - INFO - Epoch(train) [24][840/3757] lr: 1.000e-02 eta: 21:12:50 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.2158 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9775 loss: 1.9775 2022/06/28 02:14:43 - mmengine - INFO - Epoch(train) [24][860/3757] lr: 1.000e-02 eta: 21:12:45 time: 0.276 data_time: 0.009 memory: 5150 grad_norm: 5.3645 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8427 loss: 1.8427 2022/06/28 02:14:49 - mmengine - INFO - Epoch(train) [24][880/3757] lr: 1.000e-02 eta: 21:12:41 time: 0.198 data_time: 0.025 memory: 5150 grad_norm: 5.7394 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2765 loss: 2.2765 2022/06/28 02:14:54 - mmengine - INFO - Epoch(train) [24][900/3757] lr: 1.000e-02 eta: 21:12:35 time: 0.228 data_time: 0.010 memory: 5150 grad_norm: 5.0983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9323 loss: 1.9323 2022/06/28 02:14:59 - mmengine - INFO - Epoch(train) [24][920/3757] lr: 1.000e-02 eta: 21:12:30 time: 0.506 data_time: 0.007 memory: 5150 grad_norm: 5.9465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1479 loss: 2.1479 2022/06/28 02:15:05 - mmengine - INFO - Epoch(train) [24][940/3757] lr: 1.000e-02 eta: 21:12:25 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 5.4811 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1057 loss: 2.1057 2022/06/28 02:15:10 - mmengine - INFO - Epoch(train) [24][960/3757] lr: 1.000e-02 eta: 21:12:19 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1406 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9818 loss: 1.9818 2022/06/28 02:15:16 - mmengine - INFO - Epoch(train) [24][980/3757] lr: 1.000e-02 eta: 21:12:15 time: 0.765 data_time: 0.011 memory: 5150 grad_norm: 6.2461 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1166 loss: 2.1166 2022/06/28 02:15:21 - mmengine - INFO - Epoch(train) [24][1000/3757] lr: 1.000e-02 eta: 21:12:08 time: 0.313 data_time: 0.031 memory: 5150 grad_norm: 5.7439 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2698 loss: 2.2698 2022/06/28 02:15:26 - mmengine - INFO - Epoch(train) [24][1020/3757] lr: 1.000e-02 eta: 21:12:03 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.2652 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1257 loss: 2.1257 2022/06/28 02:15:31 - mmengine - INFO - Epoch(train) [24][1040/3757] lr: 1.000e-02 eta: 21:11:59 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.5252 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0956 loss: 2.0956 2022/06/28 02:15:37 - mmengine - INFO - Epoch(train) [24][1060/3757] lr: 1.000e-02 eta: 21:11:54 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 5.6225 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2191 loss: 2.2191 2022/06/28 02:15:42 - mmengine - INFO - Epoch(train) [24][1080/3757] lr: 1.000e-02 eta: 21:11:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.8191 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0348 loss: 2.0348 2022/06/28 02:15:47 - mmengine - INFO - Epoch(train) [24][1100/3757] lr: 1.000e-02 eta: 21:11:43 time: 0.224 data_time: 0.011 memory: 5150 grad_norm: 6.0511 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2731 loss: 2.2731 2022/06/28 02:15:53 - mmengine - INFO - Epoch(train) [24][1120/3757] lr: 1.000e-02 eta: 21:11:37 time: 0.576 data_time: 0.010 memory: 5150 grad_norm: 5.6810 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6032 loss: 2.6032 2022/06/28 02:15:58 - mmengine - INFO - Epoch(train) [24][1140/3757] lr: 1.000e-02 eta: 21:11:31 time: 0.271 data_time: 0.011 memory: 5150 grad_norm: 5.0304 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4296 loss: 2.4296 2022/06/28 02:16:03 - mmengine - INFO - Epoch(train) [24][1160/3757] lr: 1.000e-02 eta: 21:11:27 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 5.2202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0063 loss: 2.0063 2022/06/28 02:16:09 - mmengine - INFO - Epoch(train) [24][1180/3757] lr: 1.000e-02 eta: 21:11:21 time: 0.277 data_time: 0.034 memory: 5150 grad_norm: 4.8692 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0972 loss: 2.0972 2022/06/28 02:16:14 - mmengine - INFO - Epoch(train) [24][1200/3757] lr: 1.000e-02 eta: 21:11:15 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0875 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1091 loss: 2.1091 2022/06/28 02:16:19 - mmengine - INFO - Epoch(train) [24][1220/3757] lr: 1.000e-02 eta: 21:11:12 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.4061 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0259 loss: 2.0259 2022/06/28 02:16:26 - mmengine - INFO - Epoch(train) [24][1240/3757] lr: 1.000e-02 eta: 21:11:09 time: 0.212 data_time: 0.036 memory: 5150 grad_norm: 5.3448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2862 loss: 2.2862 2022/06/28 02:16:30 - mmengine - INFO - Epoch(train) [24][1260/3757] lr: 1.000e-02 eta: 21:11:01 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.2484 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8345 loss: 1.8345 2022/06/28 02:16:36 - mmengine - INFO - Epoch(train) [24][1280/3757] lr: 1.000e-02 eta: 21:10:59 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 5.6826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0906 loss: 2.0906 2022/06/28 02:16:41 - mmengine - INFO - Epoch(train) [24][1300/3757] lr: 1.000e-02 eta: 21:10:52 time: 0.211 data_time: 0.038 memory: 5150 grad_norm: 5.4233 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2588 loss: 2.2588 2022/06/28 02:16:46 - mmengine - INFO - Epoch(train) [24][1320/3757] lr: 1.000e-02 eta: 21:10:46 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8927 loss: 1.8927 2022/06/28 02:16:52 - mmengine - INFO - Epoch(train) [24][1340/3757] lr: 1.000e-02 eta: 21:10:42 time: 0.542 data_time: 0.007 memory: 5150 grad_norm: 5.3645 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0274 loss: 2.0274 2022/06/28 02:16:57 - mmengine - INFO - Epoch(train) [24][1360/3757] lr: 1.000e-02 eta: 21:10:35 time: 0.316 data_time: 0.014 memory: 5150 grad_norm: 6.0510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8502 loss: 1.8502 2022/06/28 02:17:02 - mmengine - INFO - Epoch(train) [24][1380/3757] lr: 1.000e-02 eta: 21:10:29 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.0444 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2260 loss: 2.2260 2022/06/28 02:17:07 - mmengine - INFO - Epoch(train) [24][1400/3757] lr: 1.000e-02 eta: 21:10:24 time: 0.250 data_time: 0.009 memory: 5150 grad_norm: 6.0659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5632 loss: 2.5632 2022/06/28 02:17:13 - mmengine - INFO - Epoch(train) [24][1420/3757] lr: 1.000e-02 eta: 21:10:19 time: 0.292 data_time: 0.024 memory: 5150 grad_norm: 6.0111 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9834 loss: 1.9834 2022/06/28 02:17:18 - mmengine - INFO - Epoch(train) [24][1440/3757] lr: 1.000e-02 eta: 21:10:16 time: 0.722 data_time: 0.007 memory: 5150 grad_norm: 5.5164 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0516 loss: 2.0516 2022/06/28 02:17:24 - mmengine - INFO - Epoch(train) [24][1460/3757] lr: 1.000e-02 eta: 21:10:10 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 5.3165 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3789 loss: 2.3789 2022/06/28 02:17:29 - mmengine - INFO - Epoch(train) [24][1480/3757] lr: 1.000e-02 eta: 21:10:05 time: 0.247 data_time: 0.019 memory: 5150 grad_norm: 5.3790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4525 loss: 2.4525 2022/06/28 02:17:35 - mmengine - INFO - Epoch(train) [24][1500/3757] lr: 1.000e-02 eta: 21:10:01 time: 0.677 data_time: 0.007 memory: 5150 grad_norm: 5.1509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9331 loss: 1.9331 2022/06/28 02:17:40 - mmengine - INFO - Epoch(train) [24][1520/3757] lr: 1.000e-02 eta: 21:09:55 time: 0.231 data_time: 0.017 memory: 5150 grad_norm: 5.3665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0903 loss: 2.0903 2022/06/28 02:17:46 - mmengine - INFO - Epoch(train) [24][1540/3757] lr: 1.000e-02 eta: 21:09:52 time: 1.081 data_time: 0.011 memory: 5150 grad_norm: 5.2593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4749 loss: 2.4749 2022/06/28 02:17:51 - mmengine - INFO - Epoch(train) [24][1560/3757] lr: 1.000e-02 eta: 21:09:45 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.6568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9956 loss: 1.9956 2022/06/28 02:17:56 - mmengine - INFO - Epoch(train) [24][1580/3757] lr: 1.000e-02 eta: 21:09:40 time: 0.232 data_time: 0.051 memory: 5150 grad_norm: 5.2232 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0166 loss: 2.0166 2022/06/28 02:17:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:18:02 - mmengine - INFO - Epoch(train) [24][1600/3757] lr: 1.000e-02 eta: 21:09:36 time: 0.592 data_time: 0.010 memory: 5150 grad_norm: 4.5845 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0902 loss: 2.0902 2022/06/28 02:18:06 - mmengine - INFO - Epoch(train) [24][1620/3757] lr: 1.000e-02 eta: 21:09:28 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6546 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0641 loss: 2.0641 2022/06/28 02:18:12 - mmengine - INFO - Epoch(train) [24][1640/3757] lr: 1.000e-02 eta: 21:09:25 time: 0.250 data_time: 0.006 memory: 5150 grad_norm: 5.9302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/06/28 02:18:17 - mmengine - INFO - Epoch(train) [24][1660/3757] lr: 1.000e-02 eta: 21:09:19 time: 0.218 data_time: 0.014 memory: 5150 grad_norm: 5.3100 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1157 loss: 2.1157 2022/06/28 02:18:22 - mmengine - INFO - Epoch(train) [24][1680/3757] lr: 1.000e-02 eta: 21:09:13 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.7471 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0604 loss: 2.0604 2022/06/28 02:18:28 - mmengine - INFO - Epoch(train) [24][1700/3757] lr: 1.000e-02 eta: 21:09:09 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.6880 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4530 loss: 2.4530 2022/06/28 02:18:34 - mmengine - INFO - Epoch(train) [24][1720/3757] lr: 1.000e-02 eta: 21:09:05 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 5.4985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9493 loss: 1.9493 2022/06/28 02:18:38 - mmengine - INFO - Epoch(train) [24][1740/3757] lr: 1.000e-02 eta: 21:08:56 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 5.5976 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7515 loss: 1.7515 2022/06/28 02:18:43 - mmengine - INFO - Epoch(train) [24][1760/3757] lr: 1.000e-02 eta: 21:08:51 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.7528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8739 loss: 1.8739 2022/06/28 02:18:49 - mmengine - INFO - Epoch(train) [24][1780/3757] lr: 1.000e-02 eta: 21:08:47 time: 0.196 data_time: 0.021 memory: 5150 grad_norm: 5.6833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5905 loss: 2.5905 2022/06/28 02:18:54 - mmengine - INFO - Epoch(train) [24][1800/3757] lr: 1.000e-02 eta: 21:08:41 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.6869 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3753 loss: 2.3753 2022/06/28 02:19:00 - mmengine - INFO - Epoch(train) [24][1820/3757] lr: 1.000e-02 eta: 21:08:37 time: 0.693 data_time: 0.006 memory: 5150 grad_norm: 5.8565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3130 loss: 2.3130 2022/06/28 02:19:05 - mmengine - INFO - Epoch(train) [24][1840/3757] lr: 1.000e-02 eta: 21:08:31 time: 0.215 data_time: 0.019 memory: 5150 grad_norm: 5.6059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9104 loss: 1.9104 2022/06/28 02:19:11 - mmengine - INFO - Epoch(train) [24][1860/3757] lr: 1.000e-02 eta: 21:08:28 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.1757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3129 loss: 2.3129 2022/06/28 02:19:16 - mmengine - INFO - Epoch(train) [24][1880/3757] lr: 1.000e-02 eta: 21:08:23 time: 0.492 data_time: 0.006 memory: 5150 grad_norm: 5.7756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0930 loss: 2.0930 2022/06/28 02:19:21 - mmengine - INFO - Epoch(train) [24][1900/3757] lr: 1.000e-02 eta: 21:08:17 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 4.4957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2471 loss: 2.2471 2022/06/28 02:19:27 - mmengine - INFO - Epoch(train) [24][1920/3757] lr: 1.000e-02 eta: 21:08:12 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 4.6813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4856 loss: 2.4856 2022/06/28 02:19:32 - mmengine - INFO - Epoch(train) [24][1940/3757] lr: 1.000e-02 eta: 21:08:08 time: 0.903 data_time: 0.007 memory: 5150 grad_norm: 5.2960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3206 loss: 2.3206 2022/06/28 02:19:37 - mmengine - INFO - Epoch(train) [24][1960/3757] lr: 1.000e-02 eta: 21:08:02 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 4.7965 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0330 loss: 2.0330 2022/06/28 02:19:43 - mmengine - INFO - Epoch(train) [24][1980/3757] lr: 1.000e-02 eta: 21:07:57 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.5232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2479 loss: 2.2479 2022/06/28 02:19:49 - mmengine - INFO - Epoch(train) [24][2000/3757] lr: 1.000e-02 eta: 21:07:54 time: 1.484 data_time: 0.006 memory: 5150 grad_norm: 5.0614 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9311 loss: 1.9311 2022/06/28 02:19:54 - mmengine - INFO - Epoch(train) [24][2020/3757] lr: 1.000e-02 eta: 21:07:48 time: 0.198 data_time: 0.030 memory: 5150 grad_norm: 5.4945 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.2363 loss: 2.2363 2022/06/28 02:19:59 - mmengine - INFO - Epoch(train) [24][2040/3757] lr: 1.000e-02 eta: 21:07:42 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.4598 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0452 loss: 2.0452 2022/06/28 02:20:04 - mmengine - INFO - Epoch(train) [24][2060/3757] lr: 1.000e-02 eta: 21:07:37 time: 1.052 data_time: 0.010 memory: 5150 grad_norm: 5.5873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8554 loss: 1.8554 2022/06/28 02:20:09 - mmengine - INFO - Epoch(train) [24][2080/3757] lr: 1.000e-02 eta: 21:07:30 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4929 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1788 loss: 2.1788 2022/06/28 02:20:15 - mmengine - INFO - Epoch(train) [24][2100/3757] lr: 1.000e-02 eta: 21:07:27 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.6922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2538 loss: 2.2538 2022/06/28 02:20:20 - mmengine - INFO - Epoch(train) [24][2120/3757] lr: 1.000e-02 eta: 21:07:21 time: 1.188 data_time: 0.012 memory: 5150 grad_norm: 6.0744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1252 loss: 2.1252 2022/06/28 02:20:25 - mmengine - INFO - Epoch(train) [24][2140/3757] lr: 1.000e-02 eta: 21:07:15 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.0377 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0599 loss: 2.0599 2022/06/28 02:20:31 - mmengine - INFO - Epoch(train) [24][2160/3757] lr: 1.000e-02 eta: 21:07:10 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 5.1014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8659 loss: 1.8659 2022/06/28 02:20:36 - mmengine - INFO - Epoch(train) [24][2180/3757] lr: 1.000e-02 eta: 21:07:05 time: 0.998 data_time: 0.011 memory: 5150 grad_norm: 4.6746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3646 loss: 2.3646 2022/06/28 02:20:41 - mmengine - INFO - Epoch(train) [24][2200/3757] lr: 1.000e-02 eta: 21:06:59 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.4664 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4672 loss: 2.4672 2022/06/28 02:20:47 - mmengine - INFO - Epoch(train) [24][2220/3757] lr: 1.000e-02 eta: 21:06:54 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3632 loss: 2.3632 2022/06/28 02:20:52 - mmengine - INFO - Epoch(train) [24][2240/3757] lr: 1.000e-02 eta: 21:06:49 time: 0.637 data_time: 0.012 memory: 5150 grad_norm: 5.2524 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1381 loss: 2.1381 2022/06/28 02:20:57 - mmengine - INFO - Epoch(train) [24][2260/3757] lr: 1.000e-02 eta: 21:06:41 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.1608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5418 loss: 2.5418 2022/06/28 02:21:02 - mmengine - INFO - Epoch(train) [24][2280/3757] lr: 1.000e-02 eta: 21:06:38 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 5.9459 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9435 loss: 1.9435 2022/06/28 02:21:08 - mmengine - INFO - Epoch(train) [24][2300/3757] lr: 1.000e-02 eta: 21:06:32 time: 0.645 data_time: 0.026 memory: 5150 grad_norm: 5.5611 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.7035 loss: 1.7035 2022/06/28 02:21:13 - mmengine - INFO - Epoch(train) [24][2320/3757] lr: 1.000e-02 eta: 21:06:26 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3903 loss: 2.3903 2022/06/28 02:21:19 - mmengine - INFO - Epoch(train) [24][2340/3757] lr: 1.000e-02 eta: 21:06:22 time: 0.192 data_time: 0.017 memory: 5150 grad_norm: 5.0847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2759 loss: 2.2759 2022/06/28 02:21:24 - mmengine - INFO - Epoch(train) [24][2360/3757] lr: 1.000e-02 eta: 21:06:19 time: 1.143 data_time: 0.017 memory: 5150 grad_norm: 5.9512 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3529 loss: 2.3529 2022/06/28 02:21:30 - mmengine - INFO - Epoch(train) [24][2380/3757] lr: 1.000e-02 eta: 21:06:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0881 loss: 2.0881 2022/06/28 02:21:35 - mmengine - INFO - Epoch(train) [24][2400/3757] lr: 1.000e-02 eta: 21:06:08 time: 0.368 data_time: 0.014 memory: 5150 grad_norm: 5.1559 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7904 loss: 1.7904 2022/06/28 02:21:40 - mmengine - INFO - Epoch(train) [24][2420/3757] lr: 1.000e-02 eta: 21:06:03 time: 0.824 data_time: 0.010 memory: 5150 grad_norm: 5.9951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/06/28 02:21:45 - mmengine - INFO - Epoch(train) [24][2440/3757] lr: 1.000e-02 eta: 21:05:57 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4614 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6754 loss: 1.6754 2022/06/28 02:21:51 - mmengine - INFO - Epoch(train) [24][2460/3757] lr: 1.000e-02 eta: 21:05:51 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 4.8750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1832 loss: 2.1832 2022/06/28 02:21:56 - mmengine - INFO - Epoch(train) [24][2480/3757] lr: 1.000e-02 eta: 21:05:46 time: 0.972 data_time: 0.014 memory: 5150 grad_norm: 5.3891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3243 loss: 2.3243 2022/06/28 02:22:01 - mmengine - INFO - Epoch(train) [24][2500/3757] lr: 1.000e-02 eta: 21:05:40 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2812 loss: 2.2812 2022/06/28 02:22:06 - mmengine - INFO - Epoch(train) [24][2520/3757] lr: 1.000e-02 eta: 21:05:35 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5883 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9541 loss: 1.9541 2022/06/28 02:22:12 - mmengine - INFO - Epoch(train) [24][2540/3757] lr: 1.000e-02 eta: 21:05:30 time: 0.860 data_time: 0.011 memory: 5150 grad_norm: 5.6538 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4658 loss: 2.4658 2022/06/28 02:22:18 - mmengine - INFO - Epoch(train) [24][2560/3757] lr: 1.000e-02 eta: 21:05:26 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9617 loss: 1.9617 2022/06/28 02:22:22 - mmengine - INFO - Epoch(train) [24][2580/3757] lr: 1.000e-02 eta: 21:05:18 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.8950 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.3354 loss: 2.3354 2022/06/28 02:22:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:22:28 - mmengine - INFO - Epoch(train) [24][2600/3757] lr: 1.000e-02 eta: 21:05:16 time: 1.296 data_time: 0.012 memory: 5150 grad_norm: 5.6512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2520 loss: 2.2520 2022/06/28 02:22:33 - mmengine - INFO - Epoch(train) [24][2620/3757] lr: 1.000e-02 eta: 21:05:10 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.8135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2520 loss: 2.2520 2022/06/28 02:22:39 - mmengine - INFO - Epoch(train) [24][2640/3757] lr: 1.000e-02 eta: 21:05:04 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 5.0274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0963 loss: 2.0963 2022/06/28 02:22:43 - mmengine - INFO - Epoch(train) [24][2660/3757] lr: 1.000e-02 eta: 21:04:58 time: 0.224 data_time: 0.017 memory: 5150 grad_norm: 5.7575 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4504 loss: 2.4504 2022/06/28 02:22:49 - mmengine - INFO - Epoch(train) [24][2680/3757] lr: 1.000e-02 eta: 21:04:54 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.7935 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1049 loss: 2.1049 2022/06/28 02:22:55 - mmengine - INFO - Epoch(train) [24][2700/3757] lr: 1.000e-02 eta: 21:04:50 time: 0.378 data_time: 0.018 memory: 5150 grad_norm: 5.3405 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9039 loss: 1.9039 2022/06/28 02:23:00 - mmengine - INFO - Epoch(train) [24][2720/3757] lr: 1.000e-02 eta: 21:04:45 time: 0.734 data_time: 0.010 memory: 5150 grad_norm: 4.9021 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2163 loss: 2.2163 2022/06/28 02:23:05 - mmengine - INFO - Epoch(train) [24][2740/3757] lr: 1.000e-02 eta: 21:04:38 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.7001 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9703 loss: 1.9703 2022/06/28 02:23:11 - mmengine - INFO - Epoch(train) [24][2760/3757] lr: 1.000e-02 eta: 21:04:34 time: 0.214 data_time: 0.024 memory: 5150 grad_norm: 5.5413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8735 loss: 1.8735 2022/06/28 02:23:16 - mmengine - INFO - Epoch(train) [24][2780/3757] lr: 1.000e-02 eta: 21:04:27 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 5.0511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8526 loss: 1.8526 2022/06/28 02:23:21 - mmengine - INFO - Epoch(train) [24][2800/3757] lr: 1.000e-02 eta: 21:04:22 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.8756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8312 loss: 1.8312 2022/06/28 02:23:27 - mmengine - INFO - Epoch(train) [24][2820/3757] lr: 1.000e-02 eta: 21:04:18 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 4.7316 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0246 loss: 2.0246 2022/06/28 02:23:32 - mmengine - INFO - Epoch(train) [24][2840/3757] lr: 1.000e-02 eta: 21:04:11 time: 0.458 data_time: 0.007 memory: 5150 grad_norm: 5.0165 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4061 loss: 2.4061 2022/06/28 02:23:38 - mmengine - INFO - Epoch(train) [24][2860/3757] lr: 1.000e-02 eta: 21:04:08 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 6.2956 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9498 loss: 1.9498 2022/06/28 02:23:43 - mmengine - INFO - Epoch(train) [24][2880/3757] lr: 1.000e-02 eta: 21:04:02 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 4.9063 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2224 loss: 2.2224 2022/06/28 02:23:47 - mmengine - INFO - Epoch(train) [24][2900/3757] lr: 1.000e-02 eta: 21:03:55 time: 0.234 data_time: 0.006 memory: 5150 grad_norm: 4.7030 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0230 loss: 2.0230 2022/06/28 02:23:53 - mmengine - INFO - Epoch(train) [24][2920/3757] lr: 1.000e-02 eta: 21:03:51 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.8808 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1946 loss: 2.1946 2022/06/28 02:23:58 - mmengine - INFO - Epoch(train) [24][2940/3757] lr: 1.000e-02 eta: 21:03:46 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.2079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1063 loss: 2.1063 2022/06/28 02:24:03 - mmengine - INFO - Epoch(train) [24][2960/3757] lr: 1.000e-02 eta: 21:03:38 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.5800 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0652 loss: 2.0652 2022/06/28 02:24:08 - mmengine - INFO - Epoch(train) [24][2980/3757] lr: 1.000e-02 eta: 21:03:33 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.1925 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1498 loss: 2.1498 2022/06/28 02:24:14 - mmengine - INFO - Epoch(train) [24][3000/3757] lr: 1.000e-02 eta: 21:03:30 time: 0.193 data_time: 0.021 memory: 5150 grad_norm: 5.1415 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9283 loss: 1.9283 2022/06/28 02:24:20 - mmengine - INFO - Epoch(train) [24][3020/3757] lr: 1.000e-02 eta: 21:03:25 time: 0.970 data_time: 0.012 memory: 5150 grad_norm: 5.5227 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9088 loss: 1.9088 2022/06/28 02:24:25 - mmengine - INFO - Epoch(train) [24][3040/3757] lr: 1.000e-02 eta: 21:03:18 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 4.9400 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7006 loss: 1.7006 2022/06/28 02:24:31 - mmengine - INFO - Epoch(train) [24][3060/3757] lr: 1.000e-02 eta: 21:03:16 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 5.3898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7152 loss: 1.7152 2022/06/28 02:24:37 - mmengine - INFO - Epoch(train) [24][3080/3757] lr: 1.000e-02 eta: 21:03:12 time: 0.223 data_time: 0.019 memory: 5150 grad_norm: 5.4170 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0658 loss: 2.0658 2022/06/28 02:24:41 - mmengine - INFO - Epoch(train) [24][3100/3757] lr: 1.000e-02 eta: 21:03:03 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.8687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1729 loss: 2.1729 2022/06/28 02:24:46 - mmengine - INFO - Epoch(train) [24][3120/3757] lr: 1.000e-02 eta: 21:02:58 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 4.7468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2266 loss: 2.2266 2022/06/28 02:24:51 - mmengine - INFO - Epoch(train) [24][3140/3757] lr: 1.000e-02 eta: 21:02:50 time: 0.282 data_time: 0.017 memory: 5150 grad_norm: 5.7902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0030 loss: 2.0030 2022/06/28 02:24:56 - mmengine - INFO - Epoch(train) [24][3160/3757] lr: 1.000e-02 eta: 21:02:47 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.5643 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/06/28 02:25:02 - mmengine - INFO - Epoch(train) [24][3180/3757] lr: 1.000e-02 eta: 21:02:42 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.4171 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2446 loss: 2.2446 2022/06/28 02:25:07 - mmengine - INFO - Epoch(train) [24][3200/3757] lr: 1.000e-02 eta: 21:02:36 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.7934 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0359 loss: 2.0359 2022/06/28 02:25:12 - mmengine - INFO - Epoch(train) [24][3220/3757] lr: 1.000e-02 eta: 21:02:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0901 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5514 loss: 2.5514 2022/06/28 02:25:18 - mmengine - INFO - Epoch(train) [24][3240/3757] lr: 1.000e-02 eta: 21:02:27 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 4.7815 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2576 loss: 2.2576 2022/06/28 02:25:23 - mmengine - INFO - Epoch(train) [24][3260/3757] lr: 1.000e-02 eta: 21:02:22 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.7194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0958 loss: 2.0958 2022/06/28 02:25:28 - mmengine - INFO - Epoch(train) [24][3280/3757] lr: 1.000e-02 eta: 21:02:16 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.4661 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2143 loss: 2.2143 2022/06/28 02:25:34 - mmengine - INFO - Epoch(train) [24][3300/3757] lr: 1.000e-02 eta: 21:02:11 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 6.1787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1316 loss: 2.1316 2022/06/28 02:25:39 - mmengine - INFO - Epoch(train) [24][3320/3757] lr: 1.000e-02 eta: 21:02:06 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.0913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0910 loss: 2.0910 2022/06/28 02:25:45 - mmengine - INFO - Epoch(train) [24][3340/3757] lr: 1.000e-02 eta: 21:02:01 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.1328 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1275 loss: 2.1275 2022/06/28 02:25:50 - mmengine - INFO - Epoch(train) [24][3360/3757] lr: 1.000e-02 eta: 21:01:57 time: 0.217 data_time: 0.006 memory: 5150 grad_norm: 5.7796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8109 loss: 1.8109 2022/06/28 02:25:56 - mmengine - INFO - Epoch(train) [24][3380/3757] lr: 1.000e-02 eta: 21:01:54 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.1650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9309 loss: 1.9309 2022/06/28 02:26:01 - mmengine - INFO - Epoch(train) [24][3400/3757] lr: 1.000e-02 eta: 21:01:47 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9079 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6751 loss: 1.6751 2022/06/28 02:26:07 - mmengine - INFO - Epoch(train) [24][3420/3757] lr: 1.000e-02 eta: 21:01:43 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.4826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2523 loss: 2.2523 2022/06/28 02:26:12 - mmengine - INFO - Epoch(train) [24][3440/3757] lr: 1.000e-02 eta: 21:01:38 time: 0.227 data_time: 0.052 memory: 5150 grad_norm: 5.7052 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4735 loss: 2.4735 2022/06/28 02:26:18 - mmengine - INFO - Epoch(train) [24][3460/3757] lr: 1.000e-02 eta: 21:01:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2240 loss: 2.2240 2022/06/28 02:26:22 - mmengine - INFO - Epoch(train) [24][3480/3757] lr: 1.000e-02 eta: 21:01:26 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0455 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1221 loss: 2.1221 2022/06/28 02:26:27 - mmengine - INFO - Epoch(train) [24][3500/3757] lr: 1.000e-02 eta: 21:01:19 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.3602 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0045 loss: 2.0045 2022/06/28 02:26:32 - mmengine - INFO - Epoch(train) [24][3520/3757] lr: 1.000e-02 eta: 21:01:12 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2211 loss: 2.2211 2022/06/28 02:26:38 - mmengine - INFO - Epoch(train) [24][3540/3757] lr: 1.000e-02 eta: 21:01:09 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 5.3030 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1554 loss: 2.1554 2022/06/28 02:26:44 - mmengine - INFO - Epoch(train) [24][3560/3757] lr: 1.000e-02 eta: 21:01:04 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.2631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0459 loss: 2.0459 2022/06/28 02:26:49 - mmengine - INFO - Epoch(train) [24][3580/3757] lr: 1.000e-02 eta: 21:00:58 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5772 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9219 loss: 1.9219 2022/06/28 02:26:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:26:54 - mmengine - INFO - Epoch(train) [24][3600/3757] lr: 1.000e-02 eta: 21:00:53 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 5.7240 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1574 loss: 2.1574 2022/06/28 02:27:00 - mmengine - INFO - Epoch(train) [24][3620/3757] lr: 1.000e-02 eta: 21:00:49 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.1274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5971 loss: 2.5971 2022/06/28 02:27:05 - mmengine - INFO - Epoch(train) [24][3640/3757] lr: 1.000e-02 eta: 21:00:42 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2757 loss: 2.2757 2022/06/28 02:27:11 - mmengine - INFO - Epoch(train) [24][3660/3757] lr: 1.000e-02 eta: 21:00:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1328 loss: 2.1328 2022/06/28 02:27:17 - mmengine - INFO - Epoch(train) [24][3680/3757] lr: 1.000e-02 eta: 21:00:36 time: 0.198 data_time: 0.024 memory: 5150 grad_norm: 5.6922 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5688 loss: 2.5688 2022/06/28 02:27:21 - mmengine - INFO - Epoch(train) [24][3700/3757] lr: 1.000e-02 eta: 21:00:28 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 4.9550 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4352 loss: 2.4352 2022/06/28 02:27:27 - mmengine - INFO - Epoch(train) [24][3720/3757] lr: 1.000e-02 eta: 21:00:24 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 5.8212 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.3043 loss: 2.3043 2022/06/28 02:27:32 - mmengine - INFO - Epoch(train) [24][3740/3757] lr: 1.000e-02 eta: 21:00:18 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4426 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0700 loss: 2.0700 2022/06/28 02:27:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:28:08 - mmengine - INFO - Epoch(val) [24][20/310] eta: 0:05:24 time: 1.013 data_time: 0.365 memory: 9746 2022/06/28 02:28:30 - mmengine - INFO - Epoch(val) [24][40/310] eta: 0:04:52 time: 1.029 data_time: 0.384 memory: 9746 2022/06/28 02:28:53 - mmengine - INFO - Epoch(val) [24][60/310] eta: 0:04:17 time: 1.018 data_time: 0.376 memory: 9746 2022/06/28 02:29:17 - mmengine - INFO - Epoch(val) [24][80/310] eta: 0:04:50 time: 1.011 data_time: 0.359 memory: 9746 2022/06/28 02:29:41 - mmengine - INFO - Epoch(val) [24][100/310] eta: 0:04:13 time: 2.586 data_time: 1.896 memory: 9746 2022/06/28 02:30:02 - mmengine - INFO - Epoch(val) [24][120/310] eta: 0:03:19 time: 1.095 data_time: 0.459 memory: 9746 2022/06/28 02:30:27 - mmengine - INFO - Epoch(val) [24][140/310] eta: 0:03:26 time: 1.048 data_time: 0.400 memory: 9746 2022/06/28 02:30:52 - mmengine - INFO - Epoch(val) [24][160/310] eta: 0:03:21 time: 3.611 data_time: 2.941 memory: 9746 2022/06/28 02:31:14 - mmengine - INFO - Epoch(val) [24][180/310] eta: 0:02:44 time: 1.056 data_time: 0.412 memory: 9746 2022/06/28 02:31:37 - mmengine - INFO - Epoch(val) [24][200/310] eta: 0:02:13 time: 1.235 data_time: 0.597 memory: 9746 2022/06/28 02:31:59 - mmengine - INFO - Epoch(val) [24][220/310] eta: 0:01:35 time: 0.980 data_time: 0.314 memory: 9746 2022/06/28 02:32:20 - mmengine - INFO - Epoch(val) [24][240/310] eta: 0:01:14 time: 1.076 data_time: 0.438 memory: 9746 2022/06/28 02:32:43 - mmengine - INFO - Epoch(val) [24][260/310] eta: 0:01:00 time: 1.029 data_time: 0.377 memory: 9746 2022/06/28 02:33:07 - mmengine - INFO - Epoch(val) [24][280/310] eta: 0:00:35 time: 2.264 data_time: 1.592 memory: 9746 2022/06/28 02:33:26 - mmengine - INFO - Epoch(val) [24][300/310] eta: 0:00:08 time: 0.634 data_time: 0.068 memory: 9746 2022/06/28 02:33:37 - mmengine - INFO - Epoch(val) [24][310/310] acc/top1: 0.5976 acc/top5: 0.8359 acc/mean1: 0.5975 2022/06/28 02:33:46 - mmengine - INFO - Epoch(train) [25][20/3757] lr: 1.000e-02 eta: 21:00:10 time: 0.193 data_time: 0.006 memory: 9746 grad_norm: 4.9026 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0156 loss: 2.0156 2022/06/28 02:33:51 - mmengine - INFO - Epoch(train) [25][40/3757] lr: 1.000e-02 eta: 21:00:06 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1018 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2823 loss: 2.2823 2022/06/28 02:33:57 - mmengine - INFO - Epoch(train) [25][60/3757] lr: 1.000e-02 eta: 21:00:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.6115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2633 loss: 2.2633 2022/06/28 02:34:02 - mmengine - INFO - Epoch(train) [25][80/3757] lr: 1.000e-02 eta: 20:59:56 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4688 loss: 2.4688 2022/06/28 02:34:08 - mmengine - INFO - Epoch(train) [25][100/3757] lr: 1.000e-02 eta: 20:59:53 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.1408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9473 loss: 1.9473 2022/06/28 02:34:13 - mmengine - INFO - Epoch(train) [25][120/3757] lr: 1.000e-02 eta: 20:59:47 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.1404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0688 loss: 2.0688 2022/06/28 02:34:19 - mmengine - INFO - Epoch(train) [25][140/3757] lr: 1.000e-02 eta: 20:59:42 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 5.8259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2172 loss: 2.2172 2022/06/28 02:34:24 - mmengine - INFO - Epoch(train) [25][160/3757] lr: 1.000e-02 eta: 20:59:38 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 6.0808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0549 loss: 2.0549 2022/06/28 02:34:29 - mmengine - INFO - Epoch(train) [25][180/3757] lr: 1.000e-02 eta: 20:59:31 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 5.4661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1219 loss: 2.1219 2022/06/28 02:34:35 - mmengine - INFO - Epoch(train) [25][200/3757] lr: 1.000e-02 eta: 20:59:26 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.4244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1691 loss: 2.1691 2022/06/28 02:34:40 - mmengine - INFO - Epoch(train) [25][220/3757] lr: 1.000e-02 eta: 20:59:22 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 5.5396 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9854 loss: 1.9854 2022/06/28 02:34:45 - mmengine - INFO - Epoch(train) [25][240/3757] lr: 1.000e-02 eta: 20:59:14 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.2123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8907 loss: 1.8907 2022/06/28 02:34:50 - mmengine - INFO - Epoch(train) [25][260/3757] lr: 1.000e-02 eta: 20:59:09 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.1697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0543 loss: 2.0543 2022/06/28 02:34:56 - mmengine - INFO - Epoch(train) [25][280/3757] lr: 1.000e-02 eta: 20:59:05 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 5.7596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0684 loss: 2.0684 2022/06/28 02:35:01 - mmengine - INFO - Epoch(train) [25][300/3757] lr: 1.000e-02 eta: 20:59:00 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.8906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1354 loss: 2.1354 2022/06/28 02:35:07 - mmengine - INFO - Epoch(train) [25][320/3757] lr: 1.000e-02 eta: 20:58:57 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 4.9163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0896 loss: 2.0896 2022/06/28 02:35:13 - mmengine - INFO - Epoch(train) [25][340/3757] lr: 1.000e-02 eta: 20:58:51 time: 0.222 data_time: 0.015 memory: 5150 grad_norm: 5.5285 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3040 loss: 2.3040 2022/06/28 02:35:18 - mmengine - INFO - Epoch(train) [25][360/3757] lr: 1.000e-02 eta: 20:58:47 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7631 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8103 loss: 1.8103 2022/06/28 02:35:23 - mmengine - INFO - Epoch(train) [25][380/3757] lr: 1.000e-02 eta: 20:58:42 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.4912 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9386 loss: 1.9386 2022/06/28 02:35:28 - mmengine - INFO - Epoch(train) [25][400/3757] lr: 1.000e-02 eta: 20:58:36 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.8401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6048 loss: 2.6048 2022/06/28 02:35:34 - mmengine - INFO - Epoch(train) [25][420/3757] lr: 1.000e-02 eta: 20:58:32 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.4262 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0036 loss: 2.0036 2022/06/28 02:35:40 - mmengine - INFO - Epoch(train) [25][440/3757] lr: 1.000e-02 eta: 20:58:27 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.8907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1562 loss: 2.1562 2022/06/28 02:35:45 - mmengine - INFO - Epoch(train) [25][460/3757] lr: 1.000e-02 eta: 20:58:21 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 4.7771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2066 loss: 2.2066 2022/06/28 02:35:50 - mmengine - INFO - Epoch(train) [25][480/3757] lr: 1.000e-02 eta: 20:58:17 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 5.6897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4799 loss: 2.4799 2022/06/28 02:35:56 - mmengine - INFO - Epoch(train) [25][500/3757] lr: 1.000e-02 eta: 20:58:12 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.9320 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1078 loss: 2.1078 2022/06/28 02:36:01 - mmengine - INFO - Epoch(train) [25][520/3757] lr: 1.000e-02 eta: 20:58:05 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0428 loss: 2.0428 2022/06/28 02:36:06 - mmengine - INFO - Epoch(train) [25][540/3757] lr: 1.000e-02 eta: 20:58:01 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.6268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1234 loss: 2.1234 2022/06/28 02:36:12 - mmengine - INFO - Epoch(train) [25][560/3757] lr: 1.000e-02 eta: 20:57:56 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.1742 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2766 loss: 2.2766 2022/06/28 02:36:17 - mmengine - INFO - Epoch(train) [25][580/3757] lr: 1.000e-02 eta: 20:57:50 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 5.5823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1756 loss: 2.1756 2022/06/28 02:36:22 - mmengine - INFO - Epoch(train) [25][600/3757] lr: 1.000e-02 eta: 20:57:46 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.3885 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3593 loss: 2.3593 2022/06/28 02:36:28 - mmengine - INFO - Epoch(train) [25][620/3757] lr: 1.000e-02 eta: 20:57:42 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.1120 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8532 loss: 1.8532 2022/06/28 02:36:33 - mmengine - INFO - Epoch(train) [25][640/3757] lr: 1.000e-02 eta: 20:57:36 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.5655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9503 loss: 1.9503 2022/06/28 02:36:39 - mmengine - INFO - Epoch(train) [25][660/3757] lr: 1.000e-02 eta: 20:57:30 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.7456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6539 loss: 1.6539 2022/06/28 02:36:44 - mmengine - INFO - Epoch(train) [25][680/3757] lr: 1.000e-02 eta: 20:57:25 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 4.7336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8549 loss: 1.8549 2022/06/28 02:36:49 - mmengine - INFO - Epoch(train) [25][700/3757] lr: 1.000e-02 eta: 20:57:19 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8109 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1722 loss: 2.1722 2022/06/28 02:36:54 - mmengine - INFO - Epoch(train) [25][720/3757] lr: 1.000e-02 eta: 20:57:14 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.5225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9659 loss: 1.9659 2022/06/28 02:37:00 - mmengine - INFO - Epoch(train) [25][740/3757] lr: 1.000e-02 eta: 20:57:09 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 6.1221 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/06/28 02:37:04 - mmengine - INFO - Epoch(train) [25][760/3757] lr: 1.000e-02 eta: 20:57:02 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.1067 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3026 loss: 2.3026 2022/06/28 02:37:10 - mmengine - INFO - Epoch(train) [25][780/3757] lr: 1.000e-02 eta: 20:56:56 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4970 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9433 loss: 1.9433 2022/06/28 02:37:15 - mmengine - INFO - Epoch(train) [25][800/3757] lr: 1.000e-02 eta: 20:56:50 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.1653 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7800 loss: 1.7800 2022/06/28 02:37:20 - mmengine - INFO - Epoch(train) [25][820/3757] lr: 1.000e-02 eta: 20:56:44 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 5.4432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0965 loss: 2.0965 2022/06/28 02:37:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:37:25 - mmengine - INFO - Epoch(train) [25][840/3757] lr: 1.000e-02 eta: 20:56:39 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.5015 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2241 loss: 2.2241 2022/06/28 02:37:30 - mmengine - INFO - Epoch(train) [25][860/3757] lr: 1.000e-02 eta: 20:56:34 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.0470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4131 loss: 2.4131 2022/06/28 02:37:36 - mmengine - INFO - Epoch(train) [25][880/3757] lr: 1.000e-02 eta: 20:56:28 time: 0.215 data_time: 0.018 memory: 5150 grad_norm: 5.5045 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0438 loss: 2.0438 2022/06/28 02:37:41 - mmengine - INFO - Epoch(train) [25][900/3757] lr: 1.000e-02 eta: 20:56:24 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.4732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1511 loss: 2.1511 2022/06/28 02:37:47 - mmengine - INFO - Epoch(train) [25][920/3757] lr: 1.000e-02 eta: 20:56:20 time: 0.683 data_time: 0.015 memory: 5150 grad_norm: 5.4483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6062 loss: 1.6062 2022/06/28 02:37:52 - mmengine - INFO - Epoch(train) [25][940/3757] lr: 1.000e-02 eta: 20:56:14 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 6.2009 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0642 loss: 2.0642 2022/06/28 02:37:58 - mmengine - INFO - Epoch(train) [25][960/3757] lr: 1.000e-02 eta: 20:56:10 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5417 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0543 loss: 2.0543 2022/06/28 02:38:03 - mmengine - INFO - Epoch(train) [25][980/3757] lr: 1.000e-02 eta: 20:56:03 time: 0.195 data_time: 0.023 memory: 5150 grad_norm: 6.0595 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8867 loss: 1.8867 2022/06/28 02:38:08 - mmengine - INFO - Epoch(train) [25][1000/3757] lr: 1.000e-02 eta: 20:55:59 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.5000 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0983 loss: 2.0983 2022/06/28 02:38:14 - mmengine - INFO - Epoch(train) [25][1020/3757] lr: 1.000e-02 eta: 20:55:54 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 4.9358 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8816 loss: 1.8816 2022/06/28 02:38:19 - mmengine - INFO - Epoch(train) [25][1040/3757] lr: 1.000e-02 eta: 20:55:49 time: 0.597 data_time: 0.025 memory: 5150 grad_norm: 5.5474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0740 loss: 2.0740 2022/06/28 02:38:24 - mmengine - INFO - Epoch(train) [25][1060/3757] lr: 1.000e-02 eta: 20:55:42 time: 0.191 data_time: 0.014 memory: 5150 grad_norm: 5.0699 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3702 loss: 2.3702 2022/06/28 02:38:29 - mmengine - INFO - Epoch(train) [25][1080/3757] lr: 1.000e-02 eta: 20:55:38 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7908 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9621 loss: 1.9621 2022/06/28 02:38:35 - mmengine - INFO - Epoch(train) [25][1100/3757] lr: 1.000e-02 eta: 20:55:33 time: 0.625 data_time: 0.036 memory: 5150 grad_norm: 5.6619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9387 loss: 1.9387 2022/06/28 02:38:40 - mmengine - INFO - Epoch(train) [25][1120/3757] lr: 1.000e-02 eta: 20:55:26 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.3184 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/06/28 02:38:45 - mmengine - INFO - Epoch(train) [25][1140/3757] lr: 1.000e-02 eta: 20:55:22 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0751 loss: 2.0751 2022/06/28 02:38:51 - mmengine - INFO - Epoch(train) [25][1160/3757] lr: 1.000e-02 eta: 20:55:17 time: 0.206 data_time: 0.034 memory: 5150 grad_norm: 6.0114 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1934 loss: 2.1934 2022/06/28 02:38:56 - mmengine - INFO - Epoch(train) [25][1180/3757] lr: 1.000e-02 eta: 20:55:11 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.7469 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2026 loss: 2.2026 2022/06/28 02:39:01 - mmengine - INFO - Epoch(train) [25][1200/3757] lr: 1.000e-02 eta: 20:55:06 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.5124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0166 loss: 2.0166 2022/06/28 02:39:07 - mmengine - INFO - Epoch(train) [25][1220/3757] lr: 1.000e-02 eta: 20:55:02 time: 0.218 data_time: 0.045 memory: 5150 grad_norm: 5.1490 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0945 loss: 2.0945 2022/06/28 02:39:12 - mmengine - INFO - Epoch(train) [25][1240/3757] lr: 1.000e-02 eta: 20:54:56 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.5506 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2134 loss: 2.2134 2022/06/28 02:39:18 - mmengine - INFO - Epoch(train) [25][1260/3757] lr: 1.000e-02 eta: 20:54:51 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2553 loss: 2.2553 2022/06/28 02:39:23 - mmengine - INFO - Epoch(train) [25][1280/3757] lr: 1.000e-02 eta: 20:54:48 time: 0.738 data_time: 0.034 memory: 5150 grad_norm: 6.0918 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2264 loss: 2.2264 2022/06/28 02:39:28 - mmengine - INFO - Epoch(train) [25][1300/3757] lr: 1.000e-02 eta: 20:54:41 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.3615 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1348 loss: 2.1348 2022/06/28 02:39:34 - mmengine - INFO - Epoch(train) [25][1320/3757] lr: 1.000e-02 eta: 20:54:35 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.4677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5751 loss: 1.5751 2022/06/28 02:39:39 - mmengine - INFO - Epoch(train) [25][1340/3757] lr: 1.000e-02 eta: 20:54:31 time: 0.200 data_time: 0.023 memory: 5150 grad_norm: 4.8343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8980 loss: 1.8980 2022/06/28 02:39:44 - mmengine - INFO - Epoch(train) [25][1360/3757] lr: 1.000e-02 eta: 20:54:24 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8434 loss: 1.8434 2022/06/28 02:39:49 - mmengine - INFO - Epoch(train) [25][1380/3757] lr: 1.000e-02 eta: 20:54:19 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.9548 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2483 loss: 2.2483 2022/06/28 02:39:55 - mmengine - INFO - Epoch(train) [25][1400/3757] lr: 1.000e-02 eta: 20:54:15 time: 0.502 data_time: 0.030 memory: 5150 grad_norm: 6.2710 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9154 loss: 1.9154 2022/06/28 02:40:00 - mmengine - INFO - Epoch(train) [25][1420/3757] lr: 1.000e-02 eta: 20:54:08 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.0131 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0722 loss: 2.0722 2022/06/28 02:40:05 - mmengine - INFO - Epoch(train) [25][1440/3757] lr: 1.000e-02 eta: 20:54:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3110 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0583 loss: 2.0583 2022/06/28 02:40:11 - mmengine - INFO - Epoch(train) [25][1460/3757] lr: 1.000e-02 eta: 20:53:59 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 5.2632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1043 loss: 2.1043 2022/06/28 02:40:16 - mmengine - INFO - Epoch(train) [25][1480/3757] lr: 1.000e-02 eta: 20:53:53 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.8466 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8628 loss: 1.8628 2022/06/28 02:40:21 - mmengine - INFO - Epoch(train) [25][1500/3757] lr: 1.000e-02 eta: 20:53:48 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7622 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1015 loss: 2.1015 2022/06/28 02:40:27 - mmengine - INFO - Epoch(train) [25][1520/3757] lr: 1.000e-02 eta: 20:53:45 time: 0.193 data_time: 0.019 memory: 5150 grad_norm: 5.5008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4674 loss: 2.4674 2022/06/28 02:40:32 - mmengine - INFO - Epoch(train) [25][1540/3757] lr: 1.000e-02 eta: 20:53:38 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8210 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0713 loss: 2.0713 2022/06/28 02:40:38 - mmengine - INFO - Epoch(train) [25][1560/3757] lr: 1.000e-02 eta: 20:53:33 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0071 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2843 loss: 2.2843 2022/06/28 02:40:43 - mmengine - INFO - Epoch(train) [25][1580/3757] lr: 1.000e-02 eta: 20:53:30 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 5.5401 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0356 loss: 2.0356 2022/06/28 02:40:48 - mmengine - INFO - Epoch(train) [25][1600/3757] lr: 1.000e-02 eta: 20:53:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3979 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1306 loss: 2.1306 2022/06/28 02:40:54 - mmengine - INFO - Epoch(train) [25][1620/3757] lr: 1.000e-02 eta: 20:53:18 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6899 loss: 1.6899 2022/06/28 02:41:00 - mmengine - INFO - Epoch(train) [25][1640/3757] lr: 1.000e-02 eta: 20:53:15 time: 0.248 data_time: 0.021 memory: 5150 grad_norm: 6.1689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8924 loss: 1.8924 2022/06/28 02:41:05 - mmengine - INFO - Epoch(train) [25][1660/3757] lr: 1.000e-02 eta: 20:53:08 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/06/28 02:41:10 - mmengine - INFO - Epoch(train) [25][1680/3757] lr: 1.000e-02 eta: 20:53:03 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.2914 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3649 loss: 2.3649 2022/06/28 02:41:15 - mmengine - INFO - Epoch(train) [25][1700/3757] lr: 1.000e-02 eta: 20:52:57 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.6814 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2514 loss: 2.2514 2022/06/28 02:41:21 - mmengine - INFO - Epoch(train) [25][1720/3757] lr: 1.000e-02 eta: 20:52:52 time: 0.644 data_time: 0.007 memory: 5150 grad_norm: 5.0097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6363 loss: 1.6363 2022/06/28 02:41:25 - mmengine - INFO - Epoch(train) [25][1740/3757] lr: 1.000e-02 eta: 20:52:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5950 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9539 loss: 1.9539 2022/06/28 02:41:31 - mmengine - INFO - Epoch(train) [25][1760/3757] lr: 1.000e-02 eta: 20:52:42 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 6.0908 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4852 loss: 2.4852 2022/06/28 02:41:36 - mmengine - INFO - Epoch(train) [25][1780/3757] lr: 1.000e-02 eta: 20:52:36 time: 0.331 data_time: 0.007 memory: 5150 grad_norm: 5.7401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4229 loss: 2.4229 2022/06/28 02:41:42 - mmengine - INFO - Epoch(train) [25][1800/3757] lr: 1.000e-02 eta: 20:52:32 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8818 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4900 loss: 2.4900 2022/06/28 02:41:47 - mmengine - INFO - Epoch(train) [25][1820/3757] lr: 1.000e-02 eta: 20:52:27 time: 0.236 data_time: 0.010 memory: 5150 grad_norm: 5.1629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8070 loss: 1.8070 2022/06/28 02:41:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:41:52 - mmengine - INFO - Epoch(train) [25][1840/3757] lr: 1.000e-02 eta: 20:52:20 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.2808 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3256 loss: 2.3256 2022/06/28 02:41:58 - mmengine - INFO - Epoch(train) [25][1860/3757] lr: 1.000e-02 eta: 20:52:17 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.2492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0955 loss: 2.0955 2022/06/28 02:42:04 - mmengine - INFO - Epoch(train) [25][1880/3757] lr: 1.000e-02 eta: 20:52:12 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.7460 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2443 loss: 2.2443 2022/06/28 02:42:09 - mmengine - INFO - Epoch(train) [25][1900/3757] lr: 1.000e-02 eta: 20:52:08 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4528 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0970 loss: 2.0970 2022/06/28 02:42:14 - mmengine - INFO - Epoch(train) [25][1920/3757] lr: 1.000e-02 eta: 20:52:00 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.2677 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4731 loss: 1.4731 2022/06/28 02:42:19 - mmengine - INFO - Epoch(train) [25][1940/3757] lr: 1.000e-02 eta: 20:51:53 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.2677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1992 loss: 2.1992 2022/06/28 02:42:24 - mmengine - INFO - Epoch(train) [25][1960/3757] lr: 1.000e-02 eta: 20:51:50 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 5.7156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5523 loss: 1.5523 2022/06/28 02:42:30 - mmengine - INFO - Epoch(train) [25][1980/3757] lr: 1.000e-02 eta: 20:51:45 time: 0.189 data_time: 0.015 memory: 5150 grad_norm: 5.8620 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4409 loss: 2.4409 2022/06/28 02:42:35 - mmengine - INFO - Epoch(train) [25][2000/3757] lr: 1.000e-02 eta: 20:51:38 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 5.4343 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1502 loss: 2.1502 2022/06/28 02:42:40 - mmengine - INFO - Epoch(train) [25][2020/3757] lr: 1.000e-02 eta: 20:51:34 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 6.5093 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8036 loss: 1.8036 2022/06/28 02:42:46 - mmengine - INFO - Epoch(train) [25][2040/3757] lr: 1.000e-02 eta: 20:51:28 time: 0.206 data_time: 0.029 memory: 5150 grad_norm: 5.0375 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2047 loss: 2.2047 2022/06/28 02:42:50 - mmengine - INFO - Epoch(train) [25][2060/3757] lr: 1.000e-02 eta: 20:51:22 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.0991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1258 loss: 2.1258 2022/06/28 02:42:57 - mmengine - INFO - Epoch(train) [25][2080/3757] lr: 1.000e-02 eta: 20:51:20 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/06/28 02:43:02 - mmengine - INFO - Epoch(train) [25][2100/3757] lr: 1.000e-02 eta: 20:51:14 time: 0.201 data_time: 0.029 memory: 5150 grad_norm: 5.8641 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3451 loss: 2.3451 2022/06/28 02:43:08 - mmengine - INFO - Epoch(train) [25][2120/3757] lr: 1.000e-02 eta: 20:51:10 time: 0.221 data_time: 0.015 memory: 5150 grad_norm: 5.4970 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0879 loss: 2.0879 2022/06/28 02:43:13 - mmengine - INFO - Epoch(train) [25][2140/3757] lr: 1.000e-02 eta: 20:51:05 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.0481 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3239 loss: 2.3239 2022/06/28 02:43:18 - mmengine - INFO - Epoch(train) [25][2160/3757] lr: 1.000e-02 eta: 20:50:59 time: 0.202 data_time: 0.027 memory: 5150 grad_norm: 5.4582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8710 loss: 1.8710 2022/06/28 02:43:24 - mmengine - INFO - Epoch(train) [25][2180/3757] lr: 1.000e-02 eta: 20:50:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/06/28 02:43:29 - mmengine - INFO - Epoch(train) [25][2200/3757] lr: 1.000e-02 eta: 20:50:48 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.2535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2800 loss: 2.2800 2022/06/28 02:43:34 - mmengine - INFO - Epoch(train) [25][2220/3757] lr: 1.000e-02 eta: 20:50:42 time: 0.203 data_time: 0.034 memory: 5150 grad_norm: 5.1598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4682 loss: 2.4682 2022/06/28 02:43:39 - mmengine - INFO - Epoch(train) [25][2240/3757] lr: 1.000e-02 eta: 20:50:36 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1075 loss: 2.1075 2022/06/28 02:43:45 - mmengine - INFO - Epoch(train) [25][2260/3757] lr: 1.000e-02 eta: 20:50:32 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.4461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4304 loss: 2.4304 2022/06/28 02:43:50 - mmengine - INFO - Epoch(train) [25][2280/3757] lr: 1.000e-02 eta: 20:50:26 time: 0.198 data_time: 0.029 memory: 5150 grad_norm: 5.2661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0578 loss: 2.0578 2022/06/28 02:43:55 - mmengine - INFO - Epoch(train) [25][2300/3757] lr: 1.000e-02 eta: 20:50:21 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.7167 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9378 loss: 1.9378 2022/06/28 02:44:01 - mmengine - INFO - Epoch(train) [25][2320/3757] lr: 1.000e-02 eta: 20:50:16 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.0807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9523 loss: 1.9523 2022/06/28 02:44:06 - mmengine - INFO - Epoch(train) [25][2340/3757] lr: 1.000e-02 eta: 20:50:11 time: 0.198 data_time: 0.025 memory: 5150 grad_norm: 5.5912 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1570 loss: 2.1570 2022/06/28 02:44:11 - mmengine - INFO - Epoch(train) [25][2360/3757] lr: 1.000e-02 eta: 20:50:06 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 4.8410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8568 loss: 1.8568 2022/06/28 02:44:17 - mmengine - INFO - Epoch(train) [25][2380/3757] lr: 1.000e-02 eta: 20:50:01 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 5.6449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2196 loss: 2.2196 2022/06/28 02:44:22 - mmengine - INFO - Epoch(train) [25][2400/3757] lr: 1.000e-02 eta: 20:49:55 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.1136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1230 loss: 2.1230 2022/06/28 02:44:28 - mmengine - INFO - Epoch(train) [25][2420/3757] lr: 1.000e-02 eta: 20:49:52 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2962 loss: 2.2962 2022/06/28 02:44:33 - mmengine - INFO - Epoch(train) [25][2440/3757] lr: 1.000e-02 eta: 20:49:47 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.0523 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9956 loss: 1.9956 2022/06/28 02:44:38 - mmengine - INFO - Epoch(train) [25][2460/3757] lr: 1.000e-02 eta: 20:49:40 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 5.0408 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4692 loss: 2.4692 2022/06/28 02:44:44 - mmengine - INFO - Epoch(train) [25][2480/3757] lr: 1.000e-02 eta: 20:49:36 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.0556 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8355 loss: 1.8355 2022/06/28 02:44:49 - mmengine - INFO - Epoch(train) [25][2500/3757] lr: 1.000e-02 eta: 20:49:31 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.5975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2037 loss: 2.2037 2022/06/28 02:44:54 - mmengine - INFO - Epoch(train) [25][2520/3757] lr: 1.000e-02 eta: 20:49:23 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.3364 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1660 loss: 2.1660 2022/06/28 02:44:59 - mmengine - INFO - Epoch(train) [25][2540/3757] lr: 1.000e-02 eta: 20:49:19 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.4736 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2538 loss: 2.2538 2022/06/28 02:45:05 - mmengine - INFO - Epoch(train) [25][2560/3757] lr: 1.000e-02 eta: 20:49:14 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.4105 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1748 loss: 2.1748 2022/06/28 02:45:10 - mmengine - INFO - Epoch(train) [25][2580/3757] lr: 1.000e-02 eta: 20:49:08 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7854 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0852 loss: 2.0852 2022/06/28 02:45:15 - mmengine - INFO - Epoch(train) [25][2600/3757] lr: 1.000e-02 eta: 20:49:02 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.9205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1137 loss: 2.1137 2022/06/28 02:45:21 - mmengine - INFO - Epoch(train) [25][2620/3757] lr: 1.000e-02 eta: 20:48:59 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.2230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8134 loss: 1.8134 2022/06/28 02:45:26 - mmengine - INFO - Epoch(train) [25][2640/3757] lr: 1.000e-02 eta: 20:48:52 time: 0.440 data_time: 0.010 memory: 5150 grad_norm: 5.9366 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9937 loss: 1.9937 2022/06/28 02:45:31 - mmengine - INFO - Epoch(train) [25][2660/3757] lr: 1.000e-02 eta: 20:48:46 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 4.7456 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9418 loss: 1.9418 2022/06/28 02:45:36 - mmengine - INFO - Epoch(train) [25][2680/3757] lr: 1.000e-02 eta: 20:48:42 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.6712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3427 loss: 2.3427 2022/06/28 02:45:42 - mmengine - INFO - Epoch(train) [25][2700/3757] lr: 1.000e-02 eta: 20:48:37 time: 0.533 data_time: 0.006 memory: 5150 grad_norm: 5.9015 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9839 loss: 1.9839 2022/06/28 02:45:47 - mmengine - INFO - Epoch(train) [25][2720/3757] lr: 1.000e-02 eta: 20:48:31 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7724 loss: 1.7724 2022/06/28 02:45:52 - mmengine - INFO - Epoch(train) [25][2740/3757] lr: 1.000e-02 eta: 20:48:26 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2217 loss: 2.2217 2022/06/28 02:45:58 - mmengine - INFO - Epoch(train) [25][2760/3757] lr: 1.000e-02 eta: 20:48:22 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8658 loss: 1.8658 2022/06/28 02:46:03 - mmengine - INFO - Epoch(train) [25][2780/3757] lr: 1.000e-02 eta: 20:48:15 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.4980 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9653 loss: 1.9653 2022/06/28 02:46:09 - mmengine - INFO - Epoch(train) [25][2800/3757] lr: 1.000e-02 eta: 20:48:12 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 5.6584 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7612 loss: 1.7612 2022/06/28 02:46:14 - mmengine - INFO - Epoch(train) [25][2820/3757] lr: 1.000e-02 eta: 20:48:07 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0078 loss: 2.0078 2022/06/28 02:46:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:46:19 - mmengine - INFO - Epoch(train) [25][2840/3757] lr: 1.000e-02 eta: 20:48:01 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5816 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2076 loss: 2.2076 2022/06/28 02:46:25 - mmengine - INFO - Epoch(train) [25][2860/3757] lr: 1.000e-02 eta: 20:47:55 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 4.9933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3959 loss: 2.3959 2022/06/28 02:46:30 - mmengine - INFO - Epoch(train) [25][2880/3757] lr: 1.000e-02 eta: 20:47:52 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.0554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2938 loss: 2.2938 2022/06/28 02:46:35 - mmengine - INFO - Epoch(train) [25][2900/3757] lr: 1.000e-02 eta: 20:47:45 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.4307 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2923 loss: 2.2923 2022/06/28 02:46:40 - mmengine - INFO - Epoch(train) [25][2920/3757] lr: 1.000e-02 eta: 20:47:39 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 6.1379 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9622 loss: 1.9622 2022/06/28 02:46:46 - mmengine - INFO - Epoch(train) [25][2940/3757] lr: 1.000e-02 eta: 20:47:35 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 5.8576 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3305 loss: 2.3305 2022/06/28 02:46:52 - mmengine - INFO - Epoch(train) [25][2960/3757] lr: 1.000e-02 eta: 20:47:31 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.5068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8303 loss: 1.8303 2022/06/28 02:46:57 - mmengine - INFO - Epoch(train) [25][2980/3757] lr: 1.000e-02 eta: 20:47:25 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.2551 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6066 loss: 1.6066 2022/06/28 02:47:02 - mmengine - INFO - Epoch(train) [25][3000/3757] lr: 1.000e-02 eta: 20:47:21 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.6279 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1650 loss: 2.1650 2022/06/28 02:47:07 - mmengine - INFO - Epoch(train) [25][3020/3757] lr: 1.000e-02 eta: 20:47:13 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.0054 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4462 loss: 2.4462 2022/06/28 02:47:12 - mmengine - INFO - Epoch(train) [25][3040/3757] lr: 1.000e-02 eta: 20:47:07 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.5547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0614 loss: 2.0614 2022/06/28 02:47:18 - mmengine - INFO - Epoch(train) [25][3060/3757] lr: 1.000e-02 eta: 20:47:04 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.0913 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8278 loss: 1.8278 2022/06/28 02:47:24 - mmengine - INFO - Epoch(train) [25][3080/3757] lr: 1.000e-02 eta: 20:47:00 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.4528 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2816 loss: 2.2816 2022/06/28 02:47:29 - mmengine - INFO - Epoch(train) [25][3100/3757] lr: 1.000e-02 eta: 20:46:54 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.6064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9810 loss: 1.9810 2022/06/28 02:47:34 - mmengine - INFO - Epoch(train) [25][3120/3757] lr: 1.000e-02 eta: 20:46:48 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 4.6472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0055 loss: 2.0055 2022/06/28 02:47:39 - mmengine - INFO - Epoch(train) [25][3140/3757] lr: 1.000e-02 eta: 20:46:43 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.1850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0243 loss: 2.0243 2022/06/28 02:47:44 - mmengine - INFO - Epoch(train) [25][3160/3757] lr: 1.000e-02 eta: 20:46:37 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.6309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0906 loss: 2.0906 2022/06/28 02:47:50 - mmengine - INFO - Epoch(train) [25][3180/3757] lr: 1.000e-02 eta: 20:46:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3122 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0398 loss: 2.0398 2022/06/28 02:47:56 - mmengine - INFO - Epoch(train) [25][3200/3757] lr: 1.000e-02 eta: 20:46:29 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8561 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1014 loss: 2.1014 2022/06/28 02:48:01 - mmengine - INFO - Epoch(train) [25][3220/3757] lr: 1.000e-02 eta: 20:46:22 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.5648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9129 loss: 1.9129 2022/06/28 02:48:06 - mmengine - INFO - Epoch(train) [25][3240/3757] lr: 1.000e-02 eta: 20:46:18 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8949 loss: 1.8949 2022/06/28 02:48:12 - mmengine - INFO - Epoch(train) [25][3260/3757] lr: 1.000e-02 eta: 20:46:12 time: 0.200 data_time: 0.027 memory: 5150 grad_norm: 5.7371 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3348 loss: 2.3348 2022/06/28 02:48:16 - mmengine - INFO - Epoch(train) [25][3280/3757] lr: 1.000e-02 eta: 20:46:05 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5886 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9992 loss: 1.9992 2022/06/28 02:48:22 - mmengine - INFO - Epoch(train) [25][3300/3757] lr: 1.000e-02 eta: 20:46:01 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.3682 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4352 loss: 2.4352 2022/06/28 02:48:27 - mmengine - INFO - Epoch(train) [25][3320/3757] lr: 1.000e-02 eta: 20:45:55 time: 0.235 data_time: 0.014 memory: 5150 grad_norm: 5.8868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8581 loss: 1.8581 2022/06/28 02:48:32 - mmengine - INFO - Epoch(train) [25][3340/3757] lr: 1.000e-02 eta: 20:45:49 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 5.4955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1751 loss: 2.1751 2022/06/28 02:48:38 - mmengine - INFO - Epoch(train) [25][3360/3757] lr: 1.000e-02 eta: 20:45:45 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 5.1212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0116 loss: 2.0116 2022/06/28 02:48:43 - mmengine - INFO - Epoch(train) [25][3380/3757] lr: 1.000e-02 eta: 20:45:39 time: 0.216 data_time: 0.015 memory: 5150 grad_norm: 5.9866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2138 loss: 2.2138 2022/06/28 02:48:49 - mmengine - INFO - Epoch(train) [25][3400/3757] lr: 1.000e-02 eta: 20:45:36 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.2394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8960 loss: 1.8960 2022/06/28 02:48:53 - mmengine - INFO - Epoch(train) [25][3420/3757] lr: 1.000e-02 eta: 20:45:28 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.0772 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1233 loss: 2.1233 2022/06/28 02:49:00 - mmengine - INFO - Epoch(train) [25][3440/3757] lr: 1.000e-02 eta: 20:45:25 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.5406 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3559 loss: 2.3559 2022/06/28 02:49:05 - mmengine - INFO - Epoch(train) [25][3460/3757] lr: 1.000e-02 eta: 20:45:19 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 5.4423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9313 loss: 1.9313 2022/06/28 02:49:10 - mmengine - INFO - Epoch(train) [25][3480/3757] lr: 1.000e-02 eta: 20:45:16 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4788 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0633 loss: 2.0633 2022/06/28 02:49:15 - mmengine - INFO - Epoch(train) [25][3500/3757] lr: 1.000e-02 eta: 20:45:08 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.9455 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9757 loss: 1.9757 2022/06/28 02:49:21 - mmengine - INFO - Epoch(train) [25][3520/3757] lr: 1.000e-02 eta: 20:45:04 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 5.5518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9074 loss: 1.9074 2022/06/28 02:49:25 - mmengine - INFO - Epoch(train) [25][3540/3757] lr: 1.000e-02 eta: 20:44:57 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.5632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9312 loss: 1.9312 2022/06/28 02:49:31 - mmengine - INFO - Epoch(train) [25][3560/3757] lr: 1.000e-02 eta: 20:44:53 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.5514 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9024 loss: 1.9024 2022/06/28 02:49:37 - mmengine - INFO - Epoch(train) [25][3580/3757] lr: 1.000e-02 eta: 20:44:48 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4294 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9827 loss: 1.9827 2022/06/28 02:49:42 - mmengine - INFO - Epoch(train) [25][3600/3757] lr: 1.000e-02 eta: 20:44:43 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 5.2834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1136 loss: 2.1136 2022/06/28 02:49:48 - mmengine - INFO - Epoch(train) [25][3620/3757] lr: 1.000e-02 eta: 20:44:40 time: 0.430 data_time: 0.007 memory: 5150 grad_norm: 5.2701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6846 loss: 1.6846 2022/06/28 02:49:53 - mmengine - INFO - Epoch(train) [25][3640/3757] lr: 1.000e-02 eta: 20:44:33 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7191 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1588 loss: 2.1588 2022/06/28 02:49:58 - mmengine - INFO - Epoch(train) [25][3660/3757] lr: 1.000e-02 eta: 20:44:28 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.9326 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1639 loss: 2.1639 2022/06/28 02:50:04 - mmengine - INFO - Epoch(train) [25][3680/3757] lr: 1.000e-02 eta: 20:44:24 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.3715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7996 loss: 1.7996 2022/06/28 02:50:09 - mmengine - INFO - Epoch(train) [25][3700/3757] lr: 1.000e-02 eta: 20:44:17 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.5182 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1354 loss: 2.1354 2022/06/28 02:50:14 - mmengine - INFO - Epoch(train) [25][3720/3757] lr: 1.000e-02 eta: 20:44:13 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 4.8780 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9012 loss: 1.9012 2022/06/28 02:50:20 - mmengine - INFO - Epoch(train) [25][3740/3757] lr: 1.000e-02 eta: 20:44:08 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 4.7625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8631 loss: 1.8631 2022/06/28 02:50:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:50:23 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/06/28 02:50:58 - mmengine - INFO - Epoch(val) [25][20/310] eta: 0:05:41 time: 0.956 data_time: 0.296 memory: 9746 2022/06/28 02:51:19 - mmengine - INFO - Epoch(val) [25][40/310] eta: 0:04:43 time: 1.001 data_time: 0.364 memory: 9746 2022/06/28 02:51:43 - mmengine - INFO - Epoch(val) [25][60/310] eta: 0:04:31 time: 1.180 data_time: 0.530 memory: 9746 2022/06/28 02:52:06 - mmengine - INFO - Epoch(val) [25][80/310] eta: 0:04:44 time: 0.929 data_time: 0.302 memory: 9746 2022/06/28 02:52:30 - mmengine - INFO - Epoch(val) [25][100/310] eta: 0:04:06 time: 1.943 data_time: 1.282 memory: 9746 2022/06/28 02:52:51 - mmengine - INFO - Epoch(val) [25][120/310] eta: 0:03:21 time: 0.987 data_time: 0.356 memory: 9746 2022/06/28 02:53:15 - mmengine - INFO - Epoch(val) [25][140/310] eta: 0:03:25 time: 1.061 data_time: 0.412 memory: 9746 2022/06/28 02:53:39 - mmengine - INFO - Epoch(val) [25][160/310] eta: 0:03:15 time: 3.058 data_time: 2.364 memory: 9746 2022/06/28 02:54:02 - mmengine - INFO - Epoch(val) [25][180/310] eta: 0:02:42 time: 1.065 data_time: 0.423 memory: 9746 2022/06/28 02:54:25 - mmengine - INFO - Epoch(val) [25][200/310] eta: 0:02:11 time: 1.119 data_time: 0.476 memory: 9746 2022/06/28 02:54:46 - mmengine - INFO - Epoch(val) [25][220/310] eta: 0:01:36 time: 1.094 data_time: 0.474 memory: 9746 2022/06/28 02:55:08 - mmengine - INFO - Epoch(val) [25][240/310] eta: 0:01:14 time: 1.027 data_time: 0.374 memory: 9746 2022/06/28 02:55:31 - mmengine - INFO - Epoch(val) [25][260/310] eta: 0:00:57 time: 1.159 data_time: 0.518 memory: 9746 2022/06/28 02:55:55 - mmengine - INFO - Epoch(val) [25][280/310] eta: 0:00:34 time: 1.160 data_time: 0.533 memory: 9746 2022/06/28 02:56:14 - mmengine - INFO - Epoch(val) [25][300/310] eta: 0:00:07 time: 0.634 data_time: 0.069 memory: 9746 2022/06/28 02:56:26 - mmengine - INFO - Epoch(val) [25][310/310] acc/top1: 0.5986 acc/top5: 0.8344 acc/mean1: 0.5985 2022/06/28 02:56:35 - mmengine - INFO - Epoch(train) [26][20/3757] lr: 1.000e-02 eta: 20:44:01 time: 0.203 data_time: 0.008 memory: 9746 grad_norm: 5.9378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0138 loss: 2.0138 2022/06/28 02:56:40 - mmengine - INFO - Epoch(train) [26][40/3757] lr: 1.000e-02 eta: 20:43:57 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.4656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7030 loss: 1.7030 2022/06/28 02:56:45 - mmengine - INFO - Epoch(train) [26][60/3757] lr: 1.000e-02 eta: 20:43:50 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.4359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2499 loss: 2.2499 2022/06/28 02:56:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 02:56:51 - mmengine - INFO - Epoch(train) [26][80/3757] lr: 1.000e-02 eta: 20:43:46 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.5371 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0257 loss: 2.0257 2022/06/28 02:56:56 - mmengine - INFO - Epoch(train) [26][100/3757] lr: 1.000e-02 eta: 20:43:41 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.1086 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9739 loss: 1.9739 2022/06/28 02:57:01 - mmengine - INFO - Epoch(train) [26][120/3757] lr: 1.000e-02 eta: 20:43:34 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.5298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1837 loss: 2.1837 2022/06/28 02:57:07 - mmengine - INFO - Epoch(train) [26][140/3757] lr: 1.000e-02 eta: 20:43:31 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.6635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6541 loss: 1.6541 2022/06/28 02:57:13 - mmengine - INFO - Epoch(train) [26][160/3757] lr: 1.000e-02 eta: 20:43:28 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.9545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9015 loss: 1.9015 2022/06/28 02:57:18 - mmengine - INFO - Epoch(train) [26][180/3757] lr: 1.000e-02 eta: 20:43:21 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9512 loss: 1.9512 2022/06/28 02:57:24 - mmengine - INFO - Epoch(train) [26][200/3757] lr: 1.000e-02 eta: 20:43:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1623 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3377 loss: 2.3377 2022/06/28 02:57:29 - mmengine - INFO - Epoch(train) [26][220/3757] lr: 1.000e-02 eta: 20:43:13 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7437 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4525 loss: 2.4525 2022/06/28 02:57:33 - mmengine - INFO - Epoch(train) [26][240/3757] lr: 1.000e-02 eta: 20:43:04 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2527 loss: 2.2527 2022/06/28 02:57:39 - mmengine - INFO - Epoch(train) [26][260/3757] lr: 1.000e-02 eta: 20:43:00 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.1839 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3321 loss: 2.3321 2022/06/28 02:57:44 - mmengine - INFO - Epoch(train) [26][280/3757] lr: 1.000e-02 eta: 20:42:55 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.2902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2672 loss: 2.2672 2022/06/28 02:57:49 - mmengine - INFO - Epoch(train) [26][300/3757] lr: 1.000e-02 eta: 20:42:48 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 5.0339 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0394 loss: 2.0394 2022/06/28 02:57:55 - mmengine - INFO - Epoch(train) [26][320/3757] lr: 1.000e-02 eta: 20:42:44 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.9116 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5958 loss: 2.5958 2022/06/28 02:58:00 - mmengine - INFO - Epoch(train) [26][340/3757] lr: 1.000e-02 eta: 20:42:39 time: 0.194 data_time: 0.017 memory: 5150 grad_norm: 6.3295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2026 loss: 2.2026 2022/06/28 02:58:05 - mmengine - INFO - Epoch(train) [26][360/3757] lr: 1.000e-02 eta: 20:42:32 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.6127 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1541 loss: 2.1541 2022/06/28 02:58:11 - mmengine - INFO - Epoch(train) [26][380/3757] lr: 1.000e-02 eta: 20:42:28 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.3378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8527 loss: 1.8527 2022/06/28 02:58:17 - mmengine - INFO - Epoch(train) [26][400/3757] lr: 1.000e-02 eta: 20:42:24 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.1697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1776 loss: 2.1776 2022/06/28 02:58:22 - mmengine - INFO - Epoch(train) [26][420/3757] lr: 1.000e-02 eta: 20:42:18 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.8181 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3392 loss: 2.3392 2022/06/28 02:58:27 - mmengine - INFO - Epoch(train) [26][440/3757] lr: 1.000e-02 eta: 20:42:12 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.1133 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0807 loss: 2.0807 2022/06/28 02:58:32 - mmengine - INFO - Epoch(train) [26][460/3757] lr: 1.000e-02 eta: 20:42:08 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.3490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3223 loss: 2.3223 2022/06/28 02:58:37 - mmengine - INFO - Epoch(train) [26][480/3757] lr: 1.000e-02 eta: 20:42:01 time: 0.194 data_time: 0.023 memory: 5150 grad_norm: 4.8707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9363 loss: 1.9363 2022/06/28 02:58:43 - mmengine - INFO - Epoch(train) [26][500/3757] lr: 1.000e-02 eta: 20:41:56 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.5684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2100 loss: 2.2100 2022/06/28 02:58:48 - mmengine - INFO - Epoch(train) [26][520/3757] lr: 1.000e-02 eta: 20:41:51 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.7712 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0814 loss: 2.0814 2022/06/28 02:58:53 - mmengine - INFO - Epoch(train) [26][540/3757] lr: 1.000e-02 eta: 20:41:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6036 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0487 loss: 2.0487 2022/06/28 02:58:59 - mmengine - INFO - Epoch(train) [26][560/3757] lr: 1.000e-02 eta: 20:41:41 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 4.9932 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.9270 loss: 1.9270 2022/06/28 02:59:05 - mmengine - INFO - Epoch(train) [26][580/3757] lr: 1.000e-02 eta: 20:41:38 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.1944 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9095 loss: 1.9095 2022/06/28 02:59:10 - mmengine - INFO - Epoch(train) [26][600/3757] lr: 1.000e-02 eta: 20:41:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4309 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3340 loss: 2.3340 2022/06/28 02:59:16 - mmengine - INFO - Epoch(train) [26][620/3757] lr: 1.000e-02 eta: 20:41:28 time: 0.197 data_time: 0.022 memory: 5150 grad_norm: 5.3851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6951 loss: 1.6951 2022/06/28 02:59:21 - mmengine - INFO - Epoch(train) [26][640/3757] lr: 1.000e-02 eta: 20:41:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.0388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0714 loss: 2.0714 2022/06/28 02:59:26 - mmengine - INFO - Epoch(train) [26][660/3757] lr: 1.000e-02 eta: 20:41:15 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4096 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1113 loss: 2.1113 2022/06/28 02:59:31 - mmengine - INFO - Epoch(train) [26][680/3757] lr: 1.000e-02 eta: 20:41:10 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.2947 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2656 loss: 2.2656 2022/06/28 02:59:37 - mmengine - INFO - Epoch(train) [26][700/3757] lr: 1.000e-02 eta: 20:41:06 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.1796 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1757 loss: 2.1757 2022/06/28 02:59:42 - mmengine - INFO - Epoch(train) [26][720/3757] lr: 1.000e-02 eta: 20:41:00 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.3704 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2200 loss: 2.2200 2022/06/28 02:59:47 - mmengine - INFO - Epoch(train) [26][740/3757] lr: 1.000e-02 eta: 20:40:56 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2809 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3078 loss: 2.3078 2022/06/28 02:59:53 - mmengine - INFO - Epoch(train) [26][760/3757] lr: 1.000e-02 eta: 20:40:50 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.1468 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.7533 loss: 2.7533 2022/06/28 02:59:58 - mmengine - INFO - Epoch(train) [26][780/3757] lr: 1.000e-02 eta: 20:40:44 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3547 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1045 loss: 2.1045 2022/06/28 03:00:04 - mmengine - INFO - Epoch(train) [26][800/3757] lr: 1.000e-02 eta: 20:40:40 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.1851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0248 loss: 2.0248 2022/06/28 03:00:08 - mmengine - INFO - Epoch(train) [26][820/3757] lr: 1.000e-02 eta: 20:40:34 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.3771 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1782 loss: 2.1782 2022/06/28 03:00:13 - mmengine - INFO - Epoch(train) [26][840/3757] lr: 1.000e-02 eta: 20:40:27 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.4678 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0319 loss: 2.0319 2022/06/28 03:00:19 - mmengine - INFO - Epoch(train) [26][860/3757] lr: 1.000e-02 eta: 20:40:23 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 4.9926 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2141 loss: 2.2141 2022/06/28 03:00:24 - mmengine - INFO - Epoch(train) [26][880/3757] lr: 1.000e-02 eta: 20:40:17 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1522 loss: 2.1522 2022/06/28 03:00:29 - mmengine - INFO - Epoch(train) [26][900/3757] lr: 1.000e-02 eta: 20:40:10 time: 0.291 data_time: 0.011 memory: 5150 grad_norm: 4.9823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7333 loss: 1.7333 2022/06/28 03:00:34 - mmengine - INFO - Epoch(train) [26][920/3757] lr: 1.000e-02 eta: 20:40:06 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.8274 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1077 loss: 2.1077 2022/06/28 03:00:40 - mmengine - INFO - Epoch(train) [26][940/3757] lr: 1.000e-02 eta: 20:40:02 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9027 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9428 loss: 1.9428 2022/06/28 03:00:45 - mmengine - INFO - Epoch(train) [26][960/3757] lr: 1.000e-02 eta: 20:39:55 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9279 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5372 loss: 2.5372 2022/06/28 03:00:51 - mmengine - INFO - Epoch(train) [26][980/3757] lr: 1.000e-02 eta: 20:39:51 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.7984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3502 loss: 2.3502 2022/06/28 03:00:57 - mmengine - INFO - Epoch(train) [26][1000/3757] lr: 1.000e-02 eta: 20:39:48 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.1038 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/06/28 03:01:02 - mmengine - INFO - Epoch(train) [26][1020/3757] lr: 1.000e-02 eta: 20:39:42 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.4370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0165 loss: 2.0165 2022/06/28 03:01:07 - mmengine - INFO - Epoch(train) [26][1040/3757] lr: 1.000e-02 eta: 20:39:36 time: 0.195 data_time: 0.026 memory: 5150 grad_norm: 5.8166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2239 loss: 2.2239 2022/06/28 03:01:12 - mmengine - INFO - Epoch(train) [26][1060/3757] lr: 1.000e-02 eta: 20:39:31 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.2879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8598 loss: 1.8598 2022/06/28 03:01:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:01:17 - mmengine - INFO - Epoch(train) [26][1080/3757] lr: 1.000e-02 eta: 20:39:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9614 loss: 1.9614 2022/06/28 03:01:23 - mmengine - INFO - Epoch(train) [26][1100/3757] lr: 1.000e-02 eta: 20:39:20 time: 0.218 data_time: 0.030 memory: 5150 grad_norm: 5.4086 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5618 loss: 1.5618 2022/06/28 03:01:28 - mmengine - INFO - Epoch(train) [26][1120/3757] lr: 1.000e-02 eta: 20:39:15 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.2227 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0911 loss: 2.0911 2022/06/28 03:01:33 - mmengine - INFO - Epoch(train) [26][1140/3757] lr: 1.000e-02 eta: 20:39:10 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.4257 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0476 loss: 2.0476 2022/06/28 03:01:39 - mmengine - INFO - Epoch(train) [26][1160/3757] lr: 1.000e-02 eta: 20:39:05 time: 0.272 data_time: 0.006 memory: 5150 grad_norm: 4.6642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5785 loss: 1.5785 2022/06/28 03:01:45 - mmengine - INFO - Epoch(train) [26][1180/3757] lr: 1.000e-02 eta: 20:39:01 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 6.6313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3593 loss: 2.3593 2022/06/28 03:01:50 - mmengine - INFO - Epoch(train) [26][1200/3757] lr: 1.000e-02 eta: 20:38:55 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 4.8475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5203 loss: 1.5203 2022/06/28 03:01:55 - mmengine - INFO - Epoch(train) [26][1220/3757] lr: 1.000e-02 eta: 20:38:50 time: 0.236 data_time: 0.023 memory: 5150 grad_norm: 7.3833 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7658 loss: 1.7658 2022/06/28 03:02:01 - mmengine - INFO - Epoch(train) [26][1240/3757] lr: 1.000e-02 eta: 20:38:46 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.9369 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0584 loss: 2.0584 2022/06/28 03:02:05 - mmengine - INFO - Epoch(train) [26][1260/3757] lr: 1.000e-02 eta: 20:38:38 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 5.2814 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8373 loss: 1.8373 2022/06/28 03:02:11 - mmengine - INFO - Epoch(train) [26][1280/3757] lr: 1.000e-02 eta: 20:38:35 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.6618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9102 loss: 1.9102 2022/06/28 03:02:17 - mmengine - INFO - Epoch(train) [26][1300/3757] lr: 1.000e-02 eta: 20:38:32 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 6.6195 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3501 loss: 2.3501 2022/06/28 03:02:22 - mmengine - INFO - Epoch(train) [26][1320/3757] lr: 1.000e-02 eta: 20:38:25 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.7962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9525 loss: 1.9525 2022/06/28 03:02:27 - mmengine - INFO - Epoch(train) [26][1340/3757] lr: 1.000e-02 eta: 20:38:19 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.6734 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9504 loss: 1.9504 2022/06/28 03:02:33 - mmengine - INFO - Epoch(train) [26][1360/3757] lr: 1.000e-02 eta: 20:38:15 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 5.2851 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4213 loss: 2.4213 2022/06/28 03:02:38 - mmengine - INFO - Epoch(train) [26][1380/3757] lr: 1.000e-02 eta: 20:38:08 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 5.7211 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0932 loss: 2.0932 2022/06/28 03:02:43 - mmengine - INFO - Epoch(train) [26][1400/3757] lr: 1.000e-02 eta: 20:38:04 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.4941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0408 loss: 2.0408 2022/06/28 03:02:48 - mmengine - INFO - Epoch(train) [26][1420/3757] lr: 1.000e-02 eta: 20:37:56 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0216 loss: 2.0216 2022/06/28 03:02:53 - mmengine - INFO - Epoch(train) [26][1440/3757] lr: 1.000e-02 eta: 20:37:50 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.1960 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1381 loss: 2.1381 2022/06/28 03:02:59 - mmengine - INFO - Epoch(train) [26][1460/3757] lr: 1.000e-02 eta: 20:37:47 time: 0.319 data_time: 0.103 memory: 5150 grad_norm: 5.9490 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4767 loss: 1.4767 2022/06/28 03:03:04 - mmengine - INFO - Epoch(train) [26][1480/3757] lr: 1.000e-02 eta: 20:37:42 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 4.6963 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2803 loss: 2.2803 2022/06/28 03:03:09 - mmengine - INFO - Epoch(train) [26][1500/3757] lr: 1.000e-02 eta: 20:37:35 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.4768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2375 loss: 2.2375 2022/06/28 03:03:15 - mmengine - INFO - Epoch(train) [26][1520/3757] lr: 1.000e-02 eta: 20:37:30 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.6796 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0397 loss: 2.0397 2022/06/28 03:03:21 - mmengine - INFO - Epoch(train) [26][1540/3757] lr: 1.000e-02 eta: 20:37:26 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.2477 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9134 loss: 1.9134 2022/06/28 03:03:25 - mmengine - INFO - Epoch(train) [26][1560/3757] lr: 1.000e-02 eta: 20:37:19 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.1802 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2372 loss: 2.2372 2022/06/28 03:03:31 - mmengine - INFO - Epoch(train) [26][1580/3757] lr: 1.000e-02 eta: 20:37:15 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 5.0001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0107 loss: 2.0107 2022/06/28 03:03:36 - mmengine - INFO - Epoch(train) [26][1600/3757] lr: 1.000e-02 eta: 20:37:10 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.1728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3450 loss: 2.3450 2022/06/28 03:03:41 - mmengine - INFO - Epoch(train) [26][1620/3757] lr: 1.000e-02 eta: 20:37:04 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 5.7965 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7290 loss: 1.7290 2022/06/28 03:03:47 - mmengine - INFO - Epoch(train) [26][1640/3757] lr: 1.000e-02 eta: 20:36:59 time: 0.268 data_time: 0.007 memory: 5150 grad_norm: 5.7012 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2681 loss: 2.2681 2022/06/28 03:03:52 - mmengine - INFO - Epoch(train) [26][1660/3757] lr: 1.000e-02 eta: 20:36:54 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.5974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6813 loss: 1.6813 2022/06/28 03:03:57 - mmengine - INFO - Epoch(train) [26][1680/3757] lr: 1.000e-02 eta: 20:36:47 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 5.5035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3797 loss: 2.3797 2022/06/28 03:04:03 - mmengine - INFO - Epoch(train) [26][1700/3757] lr: 1.000e-02 eta: 20:36:43 time: 0.279 data_time: 0.010 memory: 5150 grad_norm: 5.3661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8467 loss: 1.8467 2022/06/28 03:04:08 - mmengine - INFO - Epoch(train) [26][1720/3757] lr: 1.000e-02 eta: 20:36:38 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.6250 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9835 loss: 1.9835 2022/06/28 03:04:13 - mmengine - INFO - Epoch(train) [26][1740/3757] lr: 1.000e-02 eta: 20:36:33 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.8902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2614 loss: 2.2614 2022/06/28 03:04:19 - mmengine - INFO - Epoch(train) [26][1760/3757] lr: 1.000e-02 eta: 20:36:29 time: 0.337 data_time: 0.007 memory: 5150 grad_norm: 5.0410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9047 loss: 1.9047 2022/06/28 03:04:25 - mmengine - INFO - Epoch(train) [26][1780/3757] lr: 1.000e-02 eta: 20:36:25 time: 0.214 data_time: 0.046 memory: 5150 grad_norm: 5.6266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/06/28 03:04:30 - mmengine - INFO - Epoch(train) [26][1800/3757] lr: 1.000e-02 eta: 20:36:20 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.9846 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4265 loss: 2.4265 2022/06/28 03:04:35 - mmengine - INFO - Epoch(train) [26][1820/3757] lr: 1.000e-02 eta: 20:36:14 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.5732 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2953 loss: 2.2953 2022/06/28 03:04:41 - mmengine - INFO - Epoch(train) [26][1840/3757] lr: 1.000e-02 eta: 20:36:10 time: 0.237 data_time: 0.010 memory: 5150 grad_norm: 6.3189 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0294 loss: 2.0294 2022/06/28 03:04:46 - mmengine - INFO - Epoch(train) [26][1860/3757] lr: 1.000e-02 eta: 20:36:03 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.4972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8552 loss: 1.8552 2022/06/28 03:04:51 - mmengine - INFO - Epoch(train) [26][1880/3757] lr: 1.000e-02 eta: 20:35:58 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.0460 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1578 loss: 2.1578 2022/06/28 03:04:57 - mmengine - INFO - Epoch(train) [26][1900/3757] lr: 1.000e-02 eta: 20:35:54 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.9140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9109 loss: 1.9109 2022/06/28 03:05:02 - mmengine - INFO - Epoch(train) [26][1920/3757] lr: 1.000e-02 eta: 20:35:47 time: 0.193 data_time: 0.016 memory: 5150 grad_norm: 5.8179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8830 loss: 1.8830 2022/06/28 03:05:07 - mmengine - INFO - Epoch(train) [26][1940/3757] lr: 1.000e-02 eta: 20:35:43 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 5.8208 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0428 loss: 2.0428 2022/06/28 03:05:13 - mmengine - INFO - Epoch(train) [26][1960/3757] lr: 1.000e-02 eta: 20:35:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1673 loss: 2.1673 2022/06/28 03:05:18 - mmengine - INFO - Epoch(train) [26][1980/3757] lr: 1.000e-02 eta: 20:35:33 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.0456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0747 loss: 2.0747 2022/06/28 03:05:23 - mmengine - INFO - Epoch(train) [26][2000/3757] lr: 1.000e-02 eta: 20:35:25 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 6.3754 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1355 loss: 2.1355 2022/06/28 03:05:28 - mmengine - INFO - Epoch(train) [26][2020/3757] lr: 1.000e-02 eta: 20:35:20 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.3888 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/06/28 03:05:33 - mmengine - INFO - Epoch(train) [26][2040/3757] lr: 1.000e-02 eta: 20:35:14 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.2243 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1007 loss: 2.1007 2022/06/28 03:05:39 - mmengine - INFO - Epoch(train) [26][2060/3757] lr: 1.000e-02 eta: 20:35:09 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.0477 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2291 loss: 2.2291 2022/06/28 03:05:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:05:44 - mmengine - INFO - Epoch(train) [26][2080/3757] lr: 1.000e-02 eta: 20:35:04 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.1901 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4556 loss: 2.4556 2022/06/28 03:05:49 - mmengine - INFO - Epoch(train) [26][2100/3757] lr: 1.000e-02 eta: 20:34:58 time: 0.282 data_time: 0.007 memory: 5150 grad_norm: 5.6101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1708 loss: 2.1708 2022/06/28 03:05:54 - mmengine - INFO - Epoch(train) [26][2120/3757] lr: 1.000e-02 eta: 20:34:53 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9960 loss: 1.9960 2022/06/28 03:06:00 - mmengine - INFO - Epoch(train) [26][2140/3757] lr: 1.000e-02 eta: 20:34:47 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.4779 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.3421 loss: 2.3421 2022/06/28 03:06:05 - mmengine - INFO - Epoch(train) [26][2160/3757] lr: 1.000e-02 eta: 20:34:42 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1636 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8301 loss: 2.8301 2022/06/28 03:06:11 - mmengine - INFO - Epoch(train) [26][2180/3757] lr: 1.000e-02 eta: 20:34:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.6283 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0627 loss: 2.0627 2022/06/28 03:06:16 - mmengine - INFO - Epoch(train) [26][2200/3757] lr: 1.000e-02 eta: 20:34:32 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6243 loss: 1.6243 2022/06/28 03:06:21 - mmengine - INFO - Epoch(train) [26][2220/3757] lr: 1.000e-02 eta: 20:34:27 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6050 loss: 1.6050 2022/06/28 03:06:27 - mmengine - INFO - Epoch(train) [26][2240/3757] lr: 1.000e-02 eta: 20:34:24 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 4.8864 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2592 loss: 2.2592 2022/06/28 03:06:32 - mmengine - INFO - Epoch(train) [26][2260/3757] lr: 1.000e-02 eta: 20:34:17 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3505 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1720 loss: 2.1720 2022/06/28 03:06:37 - mmengine - INFO - Epoch(train) [26][2280/3757] lr: 1.000e-02 eta: 20:34:11 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0565 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3639 loss: 1.3639 2022/06/28 03:06:43 - mmengine - INFO - Epoch(train) [26][2300/3757] lr: 1.000e-02 eta: 20:34:06 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 4.9169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2079 loss: 2.2079 2022/06/28 03:06:48 - mmengine - INFO - Epoch(train) [26][2320/3757] lr: 1.000e-02 eta: 20:34:01 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.2839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5218 loss: 1.5218 2022/06/28 03:06:54 - mmengine - INFO - Epoch(train) [26][2340/3757] lr: 1.000e-02 eta: 20:33:57 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.5186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5972 loss: 1.5972 2022/06/28 03:06:59 - mmengine - INFO - Epoch(train) [26][2360/3757] lr: 1.000e-02 eta: 20:33:51 time: 0.200 data_time: 0.024 memory: 5150 grad_norm: 5.4335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8346 loss: 1.8346 2022/06/28 03:07:04 - mmengine - INFO - Epoch(train) [26][2380/3757] lr: 1.000e-02 eta: 20:33:47 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.5075 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4165 loss: 2.4165 2022/06/28 03:07:10 - mmengine - INFO - Epoch(train) [26][2400/3757] lr: 1.000e-02 eta: 20:33:42 time: 0.259 data_time: 0.007 memory: 5150 grad_norm: 5.8888 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9093 loss: 1.9093 2022/06/28 03:07:15 - mmengine - INFO - Epoch(train) [26][2420/3757] lr: 1.000e-02 eta: 20:33:36 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.2653 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1703 loss: 2.1703 2022/06/28 03:07:20 - mmengine - INFO - Epoch(train) [26][2440/3757] lr: 1.000e-02 eta: 20:33:31 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9580 loss: 1.9580 2022/06/28 03:07:25 - mmengine - INFO - Epoch(train) [26][2460/3757] lr: 1.000e-02 eta: 20:33:24 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.4401 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6688 loss: 2.6688 2022/06/28 03:07:31 - mmengine - INFO - Epoch(train) [26][2480/3757] lr: 1.000e-02 eta: 20:33:20 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 5.8831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8339 loss: 1.8339 2022/06/28 03:07:36 - mmengine - INFO - Epoch(train) [26][2500/3757] lr: 1.000e-02 eta: 20:33:15 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.6763 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5229 loss: 2.5229 2022/06/28 03:07:42 - mmengine - INFO - Epoch(train) [26][2520/3757] lr: 1.000e-02 eta: 20:33:10 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.7662 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3704 loss: 2.3704 2022/06/28 03:07:47 - mmengine - INFO - Epoch(train) [26][2540/3757] lr: 1.000e-02 eta: 20:33:05 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.5250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3653 loss: 2.3653 2022/06/28 03:07:52 - mmengine - INFO - Epoch(train) [26][2560/3757] lr: 1.000e-02 eta: 20:32:59 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7640 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6145 loss: 2.6145 2022/06/28 03:07:58 - mmengine - INFO - Epoch(train) [26][2580/3757] lr: 1.000e-02 eta: 20:32:54 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7224 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4607 loss: 2.4607 2022/06/28 03:08:03 - mmengine - INFO - Epoch(train) [26][2600/3757] lr: 1.000e-02 eta: 20:32:50 time: 0.222 data_time: 0.014 memory: 5150 grad_norm: 6.2471 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1942 loss: 2.1942 2022/06/28 03:08:08 - mmengine - INFO - Epoch(train) [26][2620/3757] lr: 1.000e-02 eta: 20:32:44 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.0659 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8848 loss: 1.8848 2022/06/28 03:08:14 - mmengine - INFO - Epoch(train) [26][2640/3757] lr: 1.000e-02 eta: 20:32:39 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 5.3960 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3641 loss: 2.3641 2022/06/28 03:08:19 - mmengine - INFO - Epoch(train) [26][2660/3757] lr: 1.000e-02 eta: 20:32:34 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 6.1166 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6110 loss: 2.6110 2022/06/28 03:08:25 - mmengine - INFO - Epoch(train) [26][2680/3757] lr: 1.000e-02 eta: 20:32:29 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.1909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0634 loss: 2.0634 2022/06/28 03:08:29 - mmengine - INFO - Epoch(train) [26][2700/3757] lr: 1.000e-02 eta: 20:32:22 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.9554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1297 loss: 2.1297 2022/06/28 03:08:35 - mmengine - INFO - Epoch(train) [26][2720/3757] lr: 1.000e-02 eta: 20:32:18 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0691 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0271 loss: 2.0271 2022/06/28 03:08:40 - mmengine - INFO - Epoch(train) [26][2740/3757] lr: 1.000e-02 eta: 20:32:13 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2822 loss: 2.2822 2022/06/28 03:08:46 - mmengine - INFO - Epoch(train) [26][2760/3757] lr: 1.000e-02 eta: 20:32:07 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6532 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9284 loss: 1.9284 2022/06/28 03:08:51 - mmengine - INFO - Epoch(train) [26][2780/3757] lr: 1.000e-02 eta: 20:32:03 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.9251 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1420 loss: 2.1420 2022/06/28 03:08:56 - mmengine - INFO - Epoch(train) [26][2800/3757] lr: 1.000e-02 eta: 20:31:57 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.6781 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8507 loss: 1.8507 2022/06/28 03:09:02 - mmengine - INFO - Epoch(train) [26][2820/3757] lr: 1.000e-02 eta: 20:31:52 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8093 loss: 1.8093 2022/06/28 03:09:07 - mmengine - INFO - Epoch(train) [26][2840/3757] lr: 1.000e-02 eta: 20:31:48 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.3641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8102 loss: 1.8102 2022/06/28 03:09:12 - mmengine - INFO - Epoch(train) [26][2860/3757] lr: 1.000e-02 eta: 20:31:42 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.8394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0015 loss: 2.0015 2022/06/28 03:09:18 - mmengine - INFO - Epoch(train) [26][2880/3757] lr: 1.000e-02 eta: 20:31:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2169 loss: 2.2169 2022/06/28 03:09:23 - mmengine - INFO - Epoch(train) [26][2900/3757] lr: 1.000e-02 eta: 20:31:32 time: 0.200 data_time: 0.026 memory: 5150 grad_norm: 5.9867 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4422 loss: 2.4422 2022/06/28 03:09:28 - mmengine - INFO - Epoch(train) [26][2920/3757] lr: 1.000e-02 eta: 20:31:26 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.1756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2135 loss: 2.2135 2022/06/28 03:09:34 - mmengine - INFO - Epoch(train) [26][2940/3757] lr: 1.000e-02 eta: 20:31:21 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0094 loss: 2.0094 2022/06/28 03:09:39 - mmengine - INFO - Epoch(train) [26][2960/3757] lr: 1.000e-02 eta: 20:31:16 time: 0.194 data_time: 0.025 memory: 5150 grad_norm: 5.3698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3186 loss: 2.3186 2022/06/28 03:09:44 - mmengine - INFO - Epoch(train) [26][2980/3757] lr: 1.000e-02 eta: 20:31:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.8166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7486 loss: 1.7486 2022/06/28 03:09:50 - mmengine - INFO - Epoch(train) [26][3000/3757] lr: 1.000e-02 eta: 20:31:06 time: 0.659 data_time: 0.007 memory: 5150 grad_norm: 6.2511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3477 loss: 2.3477 2022/06/28 03:09:55 - mmengine - INFO - Epoch(train) [26][3020/3757] lr: 1.000e-02 eta: 20:31:00 time: 0.200 data_time: 0.025 memory: 5150 grad_norm: 5.4548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0019 loss: 2.0019 2022/06/28 03:10:00 - mmengine - INFO - Epoch(train) [26][3040/3757] lr: 1.000e-02 eta: 20:30:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8663 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0630 loss: 2.0630 2022/06/28 03:10:06 - mmengine - INFO - Epoch(train) [26][3060/3757] lr: 1.000e-02 eta: 20:30:50 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1010 loss: 2.1010 2022/06/28 03:10:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:10:11 - mmengine - INFO - Epoch(train) [26][3080/3757] lr: 1.000e-02 eta: 20:30:45 time: 0.196 data_time: 0.028 memory: 5150 grad_norm: 5.7013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1449 loss: 2.1449 2022/06/28 03:10:16 - mmengine - INFO - Epoch(train) [26][3100/3757] lr: 1.000e-02 eta: 20:30:39 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7161 loss: 2.7161 2022/06/28 03:10:22 - mmengine - INFO - Epoch(train) [26][3120/3757] lr: 1.000e-02 eta: 20:30:34 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4895 loss: 2.4895 2022/06/28 03:10:27 - mmengine - INFO - Epoch(train) [26][3140/3757] lr: 1.000e-02 eta: 20:30:29 time: 0.201 data_time: 0.033 memory: 5150 grad_norm: 5.3955 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9302 loss: 1.9302 2022/06/28 03:10:33 - mmengine - INFO - Epoch(train) [26][3160/3757] lr: 1.000e-02 eta: 20:30:24 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.8508 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9946 loss: 1.9946 2022/06/28 03:10:38 - mmengine - INFO - Epoch(train) [26][3180/3757] lr: 1.000e-02 eta: 20:30:20 time: 0.484 data_time: 0.007 memory: 5150 grad_norm: 5.5449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9519 loss: 1.9519 2022/06/28 03:10:44 - mmengine - INFO - Epoch(train) [26][3200/3757] lr: 1.000e-02 eta: 20:30:14 time: 0.194 data_time: 0.022 memory: 5150 grad_norm: 5.5784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/06/28 03:10:49 - mmengine - INFO - Epoch(train) [26][3220/3757] lr: 1.000e-02 eta: 20:30:09 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 6.2748 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9348 loss: 1.9348 2022/06/28 03:10:54 - mmengine - INFO - Epoch(train) [26][3240/3757] lr: 1.000e-02 eta: 20:30:03 time: 0.451 data_time: 0.007 memory: 5150 grad_norm: 5.8690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/06/28 03:11:00 - mmengine - INFO - Epoch(train) [26][3260/3757] lr: 1.000e-02 eta: 20:29:59 time: 0.210 data_time: 0.025 memory: 5150 grad_norm: 5.8150 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4754 loss: 2.4754 2022/06/28 03:11:05 - mmengine - INFO - Epoch(train) [26][3280/3757] lr: 1.000e-02 eta: 20:29:55 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.2599 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1559 loss: 2.1559 2022/06/28 03:11:10 - mmengine - INFO - Epoch(train) [26][3300/3757] lr: 1.000e-02 eta: 20:29:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3232 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5780 loss: 2.5780 2022/06/28 03:11:15 - mmengine - INFO - Epoch(train) [26][3320/3757] lr: 1.000e-02 eta: 20:29:41 time: 0.208 data_time: 0.035 memory: 5150 grad_norm: 6.0770 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6559 loss: 1.6559 2022/06/28 03:11:20 - mmengine - INFO - Epoch(train) [26][3340/3757] lr: 1.000e-02 eta: 20:29:36 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8837 loss: 1.8837 2022/06/28 03:11:25 - mmengine - INFO - Epoch(train) [26][3360/3757] lr: 1.000e-02 eta: 20:29:30 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 4.7199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9928 loss: 1.9928 2022/06/28 03:11:32 - mmengine - INFO - Epoch(train) [26][3380/3757] lr: 1.000e-02 eta: 20:29:27 time: 0.200 data_time: 0.030 memory: 5150 grad_norm: 5.6515 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3548 loss: 2.3548 2022/06/28 03:11:37 - mmengine - INFO - Epoch(train) [26][3400/3757] lr: 1.000e-02 eta: 20:29:22 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.2981 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0444 loss: 2.0444 2022/06/28 03:11:42 - mmengine - INFO - Epoch(train) [26][3420/3757] lr: 1.000e-02 eta: 20:29:15 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 6.3004 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3294 loss: 2.3294 2022/06/28 03:11:47 - mmengine - INFO - Epoch(train) [26][3440/3757] lr: 1.000e-02 eta: 20:29:11 time: 0.202 data_time: 0.027 memory: 5150 grad_norm: 4.9163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0242 loss: 2.0242 2022/06/28 03:11:53 - mmengine - INFO - Epoch(train) [26][3460/3757] lr: 1.000e-02 eta: 20:29:06 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.8589 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9592 loss: 1.9592 2022/06/28 03:11:58 - mmengine - INFO - Epoch(train) [26][3480/3757] lr: 1.000e-02 eta: 20:29:00 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.1857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0977 loss: 2.0977 2022/06/28 03:12:03 - mmengine - INFO - Epoch(train) [26][3500/3757] lr: 1.000e-02 eta: 20:28:55 time: 0.209 data_time: 0.032 memory: 5150 grad_norm: 5.3768 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5832 loss: 2.5832 2022/06/28 03:12:09 - mmengine - INFO - Epoch(train) [26][3520/3757] lr: 1.000e-02 eta: 20:28:50 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.6776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/06/28 03:12:14 - mmengine - INFO - Epoch(train) [26][3540/3757] lr: 1.000e-02 eta: 20:28:44 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.5253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9409 loss: 1.9409 2022/06/28 03:12:19 - mmengine - INFO - Epoch(train) [26][3560/3757] lr: 1.000e-02 eta: 20:28:39 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.5758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3344 loss: 2.3344 2022/06/28 03:12:25 - mmengine - INFO - Epoch(train) [26][3580/3757] lr: 1.000e-02 eta: 20:28:34 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 6.2041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7336 loss: 1.7336 2022/06/28 03:12:30 - mmengine - INFO - Epoch(train) [26][3600/3757] lr: 1.000e-02 eta: 20:28:28 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 5.5521 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2342 loss: 2.2342 2022/06/28 03:12:35 - mmengine - INFO - Epoch(train) [26][3620/3757] lr: 1.000e-02 eta: 20:28:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0920 loss: 2.0920 2022/06/28 03:12:40 - mmengine - INFO - Epoch(train) [26][3640/3757] lr: 1.000e-02 eta: 20:28:18 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.7915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9185 loss: 1.9185 2022/06/28 03:12:45 - mmengine - INFO - Epoch(train) [26][3660/3757] lr: 1.000e-02 eta: 20:28:12 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 5.1460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6837 loss: 1.6837 2022/06/28 03:12:51 - mmengine - INFO - Epoch(train) [26][3680/3757] lr: 1.000e-02 eta: 20:28:08 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5767 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1275 loss: 2.1275 2022/06/28 03:12:56 - mmengine - INFO - Epoch(train) [26][3700/3757] lr: 1.000e-02 eta: 20:28:02 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.9024 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1903 loss: 2.1903 2022/06/28 03:13:01 - mmengine - INFO - Epoch(train) [26][3720/3757] lr: 1.000e-02 eta: 20:27:56 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.2630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1834 loss: 2.1834 2022/06/28 03:13:07 - mmengine - INFO - Epoch(train) [26][3740/3757] lr: 1.000e-02 eta: 20:27:51 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4309 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9841 loss: 1.9841 2022/06/28 03:13:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:13:43 - mmengine - INFO - Epoch(val) [26][20/310] eta: 0:05:39 time: 1.027 data_time: 0.390 memory: 9746 2022/06/28 03:14:05 - mmengine - INFO - Epoch(val) [26][40/310] eta: 0:04:49 time: 1.013 data_time: 0.361 memory: 9746 2022/06/28 03:14:29 - mmengine - INFO - Epoch(val) [26][60/310] eta: 0:04:29 time: 1.094 data_time: 0.443 memory: 9746 2022/06/28 03:14:52 - mmengine - INFO - Epoch(val) [26][80/310] eta: 0:04:44 time: 1.056 data_time: 0.402 memory: 9746 2022/06/28 03:15:15 - mmengine - INFO - Epoch(val) [26][100/310] eta: 0:03:56 time: 1.992 data_time: 1.336 memory: 9746 2022/06/28 03:15:37 - mmengine - INFO - Epoch(val) [26][120/310] eta: 0:03:23 time: 1.159 data_time: 0.514 memory: 9746 2022/06/28 03:16:00 - mmengine - INFO - Epoch(val) [26][140/310] eta: 0:03:18 time: 1.073 data_time: 0.326 memory: 9746 2022/06/28 03:16:25 - mmengine - INFO - Epoch(val) [26][160/310] eta: 0:03:21 time: 4.158 data_time: 3.473 memory: 9746 2022/06/28 03:16:49 - mmengine - INFO - Epoch(val) [26][180/310] eta: 0:02:50 time: 1.025 data_time: 0.394 memory: 9746 2022/06/28 03:17:11 - mmengine - INFO - Epoch(val) [26][200/310] eta: 0:02:13 time: 1.032 data_time: 0.388 memory: 9746 2022/06/28 03:17:33 - mmengine - INFO - Epoch(val) [26][220/310] eta: 0:01:38 time: 1.186 data_time: 0.545 memory: 9746 2022/06/28 03:17:55 - mmengine - INFO - Epoch(val) [26][240/310] eta: 0:01:19 time: 1.167 data_time: 0.533 memory: 9746 2022/06/28 03:18:17 - mmengine - INFO - Epoch(val) [26][260/310] eta: 0:00:59 time: 0.961 data_time: 0.296 memory: 9746 2022/06/28 03:18:41 - mmengine - INFO - Epoch(val) [26][280/310] eta: 0:00:34 time: 1.972 data_time: 1.328 memory: 9746 2022/06/28 03:19:00 - mmengine - INFO - Epoch(val) [26][300/310] eta: 0:00:08 time: 0.650 data_time: 0.079 memory: 9746 2022/06/28 03:19:13 - mmengine - INFO - Epoch(val) [26][310/310] acc/top1: 0.6003 acc/top5: 0.8324 acc/mean1: 0.6002 2022/06/28 03:19:22 - mmengine - INFO - Epoch(train) [27][20/3757] lr: 1.000e-02 eta: 20:27:44 time: 0.191 data_time: 0.010 memory: 9746 grad_norm: 5.0298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7858 loss: 1.7858 2022/06/28 03:19:28 - mmengine - INFO - Epoch(train) [27][40/3757] lr: 1.000e-02 eta: 20:27:40 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 5.4721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1699 loss: 2.1699 2022/06/28 03:19:32 - mmengine - INFO - Epoch(train) [27][60/3757] lr: 1.000e-02 eta: 20:27:33 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.3606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8935 loss: 1.8935 2022/06/28 03:19:37 - mmengine - INFO - Epoch(train) [27][80/3757] lr: 1.000e-02 eta: 20:27:28 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9549 loss: 1.9549 2022/06/28 03:19:43 - mmengine - INFO - Epoch(train) [27][100/3757] lr: 1.000e-02 eta: 20:27:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.4261 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3152 loss: 2.3152 2022/06/28 03:19:48 - mmengine - INFO - Epoch(train) [27][120/3757] lr: 1.000e-02 eta: 20:27:17 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4916 loss: 2.4916 2022/06/28 03:19:54 - mmengine - INFO - Epoch(train) [27][140/3757] lr: 1.000e-02 eta: 20:27:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3379 loss: 2.3379 2022/06/28 03:20:00 - mmengine - INFO - Epoch(train) [27][160/3757] lr: 1.000e-02 eta: 20:27:10 time: 0.225 data_time: 0.010 memory: 5150 grad_norm: 5.5197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1803 loss: 2.1803 2022/06/28 03:20:05 - mmengine - INFO - Epoch(train) [27][180/3757] lr: 1.000e-02 eta: 20:27:03 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8227 loss: 1.8227 2022/06/28 03:20:11 - mmengine - INFO - Epoch(train) [27][200/3757] lr: 1.000e-02 eta: 20:26:59 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.9377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1767 loss: 2.1767 2022/06/28 03:20:16 - mmengine - INFO - Epoch(train) [27][220/3757] lr: 1.000e-02 eta: 20:26:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.2205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0351 loss: 2.0351 2022/06/28 03:20:21 - mmengine - INFO - Epoch(train) [27][240/3757] lr: 1.000e-02 eta: 20:26:48 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.2135 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0049 loss: 2.0049 2022/06/28 03:20:27 - mmengine - INFO - Epoch(train) [27][260/3757] lr: 1.000e-02 eta: 20:26:44 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.9442 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0431 loss: 2.0431 2022/06/28 03:20:32 - mmengine - INFO - Epoch(train) [27][280/3757] lr: 1.000e-02 eta: 20:26:39 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.0022 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9900 loss: 1.9900 2022/06/28 03:20:37 - mmengine - INFO - Epoch(train) [27][300/3757] lr: 1.000e-02 eta: 20:26:32 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.1634 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8802 loss: 1.8802 2022/06/28 03:20:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:20:42 - mmengine - INFO - Epoch(train) [27][320/3757] lr: 1.000e-02 eta: 20:26:27 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.4466 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1762 loss: 2.1762 2022/06/28 03:20:48 - mmengine - INFO - Epoch(train) [27][340/3757] lr: 1.000e-02 eta: 20:26:22 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.2637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3905 loss: 2.3905 2022/06/28 03:20:53 - mmengine - INFO - Epoch(train) [27][360/3757] lr: 1.000e-02 eta: 20:26:16 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.3241 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2592 loss: 2.2592 2022/06/28 03:20:59 - mmengine - INFO - Epoch(train) [27][380/3757] lr: 1.000e-02 eta: 20:26:12 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 5.7130 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2138 loss: 2.2138 2022/06/28 03:21:04 - mmengine - INFO - Epoch(train) [27][400/3757] lr: 1.000e-02 eta: 20:26:08 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.2603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3415 loss: 2.3415 2022/06/28 03:21:09 - mmengine - INFO - Epoch(train) [27][420/3757] lr: 1.000e-02 eta: 20:26:02 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.2741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1091 loss: 2.1091 2022/06/28 03:21:15 - mmengine - INFO - Epoch(train) [27][440/3757] lr: 1.000e-02 eta: 20:25:57 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 5.9055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8556 loss: 1.8556 2022/06/28 03:21:20 - mmengine - INFO - Epoch(train) [27][460/3757] lr: 1.000e-02 eta: 20:25:52 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1338 loss: 2.1338 2022/06/28 03:21:25 - mmengine - INFO - Epoch(train) [27][480/3757] lr: 1.000e-02 eta: 20:25:45 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.4027 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1860 loss: 2.1860 2022/06/28 03:21:31 - mmengine - INFO - Epoch(train) [27][500/3757] lr: 1.000e-02 eta: 20:25:41 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 6.3212 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9824 loss: 1.9824 2022/06/28 03:21:36 - mmengine - INFO - Epoch(train) [27][520/3757] lr: 1.000e-02 eta: 20:25:37 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 4.9290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1845 loss: 2.1845 2022/06/28 03:21:41 - mmengine - INFO - Epoch(train) [27][540/3757] lr: 1.000e-02 eta: 20:25:31 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 6.2398 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0031 loss: 2.0031 2022/06/28 03:21:47 - mmengine - INFO - Epoch(train) [27][560/3757] lr: 1.000e-02 eta: 20:25:26 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.0014 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3059 loss: 2.3059 2022/06/28 03:21:52 - mmengine - INFO - Epoch(train) [27][580/3757] lr: 1.000e-02 eta: 20:25:22 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.6936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8342 loss: 1.8342 2022/06/28 03:21:57 - mmengine - INFO - Epoch(train) [27][600/3757] lr: 1.000e-02 eta: 20:25:15 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 5.5032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9946 loss: 1.9946 2022/06/28 03:22:03 - mmengine - INFO - Epoch(train) [27][620/3757] lr: 1.000e-02 eta: 20:25:10 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.2761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7077 loss: 1.7077 2022/06/28 03:22:08 - mmengine - INFO - Epoch(train) [27][640/3757] lr: 1.000e-02 eta: 20:25:04 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.4764 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4872 loss: 2.4872 2022/06/28 03:22:13 - mmengine - INFO - Epoch(train) [27][660/3757] lr: 1.000e-02 eta: 20:24:58 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.2418 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8536 loss: 1.8536 2022/06/28 03:22:19 - mmengine - INFO - Epoch(train) [27][680/3757] lr: 1.000e-02 eta: 20:24:55 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0417 loss: 2.0417 2022/06/28 03:22:24 - mmengine - INFO - Epoch(train) [27][700/3757] lr: 1.000e-02 eta: 20:24:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.9411 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8229 loss: 1.8229 2022/06/28 03:22:29 - mmengine - INFO - Epoch(train) [27][720/3757] lr: 1.000e-02 eta: 20:24:43 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.5961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1648 loss: 2.1648 2022/06/28 03:22:35 - mmengine - INFO - Epoch(train) [27][740/3757] lr: 1.000e-02 eta: 20:24:38 time: 0.237 data_time: 0.006 memory: 5150 grad_norm: 5.1474 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8312 loss: 1.8312 2022/06/28 03:22:40 - mmengine - INFO - Epoch(train) [27][760/3757] lr: 1.000e-02 eta: 20:24:33 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.8914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1064 loss: 2.1064 2022/06/28 03:22:45 - mmengine - INFO - Epoch(train) [27][780/3757] lr: 1.000e-02 eta: 20:24:26 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.3270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8003 loss: 1.8003 2022/06/28 03:22:50 - mmengine - INFO - Epoch(train) [27][800/3757] lr: 1.000e-02 eta: 20:24:21 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.8890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/06/28 03:22:55 - mmengine - INFO - Epoch(train) [27][820/3757] lr: 1.000e-02 eta: 20:24:16 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 5.8136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8742 loss: 1.8742 2022/06/28 03:23:00 - mmengine - INFO - Epoch(train) [27][840/3757] lr: 1.000e-02 eta: 20:24:10 time: 0.340 data_time: 0.007 memory: 5150 grad_norm: 5.7986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6343 loss: 1.6343 2022/06/28 03:23:06 - mmengine - INFO - Epoch(train) [27][860/3757] lr: 1.000e-02 eta: 20:24:05 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 5.5375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7278 loss: 1.7278 2022/06/28 03:23:12 - mmengine - INFO - Epoch(train) [27][880/3757] lr: 1.000e-02 eta: 20:24:01 time: 0.645 data_time: 0.038 memory: 5150 grad_norm: 5.3750 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7708 loss: 1.7708 2022/06/28 03:23:17 - mmengine - INFO - Epoch(train) [27][900/3757] lr: 1.000e-02 eta: 20:23:55 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.5582 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 2.2535 loss: 2.2535 2022/06/28 03:23:23 - mmengine - INFO - Epoch(train) [27][920/3757] lr: 1.000e-02 eta: 20:23:53 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 6.1218 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7949 loss: 1.7949 2022/06/28 03:23:27 - mmengine - INFO - Epoch(train) [27][940/3757] lr: 1.000e-02 eta: 20:23:45 time: 0.287 data_time: 0.017 memory: 5150 grad_norm: 5.4033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9597 loss: 1.9597 2022/06/28 03:23:32 - mmengine - INFO - Epoch(train) [27][960/3757] lr: 1.000e-02 eta: 20:23:38 time: 0.267 data_time: 0.007 memory: 5150 grad_norm: 5.9032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0316 loss: 2.0316 2022/06/28 03:23:38 - mmengine - INFO - Epoch(train) [27][980/3757] lr: 1.000e-02 eta: 20:23:35 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.1812 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0551 loss: 2.0551 2022/06/28 03:23:44 - mmengine - INFO - Epoch(train) [27][1000/3757] lr: 1.000e-02 eta: 20:23:31 time: 0.590 data_time: 0.016 memory: 5150 grad_norm: 5.3757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3855 loss: 2.3855 2022/06/28 03:23:49 - mmengine - INFO - Epoch(train) [27][1020/3757] lr: 1.000e-02 eta: 20:23:24 time: 0.188 data_time: 0.010 memory: 5150 grad_norm: 6.3607 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2295 loss: 2.2295 2022/06/28 03:23:55 - mmengine - INFO - Epoch(train) [27][1040/3757] lr: 1.000e-02 eta: 20:23:21 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 6.1655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9742 loss: 1.9742 2022/06/28 03:24:00 - mmengine - INFO - Epoch(train) [27][1060/3757] lr: 1.000e-02 eta: 20:23:16 time: 0.890 data_time: 0.018 memory: 5150 grad_norm: 6.0858 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/06/28 03:24:05 - mmengine - INFO - Epoch(train) [27][1080/3757] lr: 1.000e-02 eta: 20:23:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.6204 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8206 loss: 1.8206 2022/06/28 03:24:10 - mmengine - INFO - Epoch(train) [27][1100/3757] lr: 1.000e-02 eta: 20:23:04 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.3019 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9421 loss: 1.9421 2022/06/28 03:24:16 - mmengine - INFO - Epoch(train) [27][1120/3757] lr: 1.000e-02 eta: 20:23:00 time: 1.304 data_time: 0.010 memory: 5150 grad_norm: 5.3843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5021 loss: 2.5021 2022/06/28 03:24:21 - mmengine - INFO - Epoch(train) [27][1140/3757] lr: 1.000e-02 eta: 20:22:52 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7432 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3146 loss: 2.3146 2022/06/28 03:24:26 - mmengine - INFO - Epoch(train) [27][1160/3757] lr: 1.000e-02 eta: 20:22:48 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.5520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8798 loss: 1.8798 2022/06/28 03:24:32 - mmengine - INFO - Epoch(train) [27][1180/3757] lr: 1.000e-02 eta: 20:22:42 time: 0.857 data_time: 0.009 memory: 5150 grad_norm: 5.7594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1531 loss: 2.1531 2022/06/28 03:24:36 - mmengine - INFO - Epoch(train) [27][1200/3757] lr: 1.000e-02 eta: 20:22:36 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1398 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1693 loss: 2.1693 2022/06/28 03:24:42 - mmengine - INFO - Epoch(train) [27][1220/3757] lr: 1.000e-02 eta: 20:22:32 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.7288 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9239 loss: 1.9239 2022/06/28 03:24:48 - mmengine - INFO - Epoch(train) [27][1240/3757] lr: 1.000e-02 eta: 20:22:27 time: 0.999 data_time: 0.007 memory: 5150 grad_norm: 6.0727 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2538 loss: 2.2538 2022/06/28 03:24:52 - mmengine - INFO - Epoch(train) [27][1260/3757] lr: 1.000e-02 eta: 20:22:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1361 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3877 loss: 2.3877 2022/06/28 03:24:58 - mmengine - INFO - Epoch(train) [27][1280/3757] lr: 1.000e-02 eta: 20:22:16 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 5.3200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0728 loss: 2.0728 2022/06/28 03:25:04 - mmengine - INFO - Epoch(train) [27][1300/3757] lr: 1.000e-02 eta: 20:22:11 time: 0.652 data_time: 0.013 memory: 5150 grad_norm: 5.4605 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4536 loss: 2.4536 2022/06/28 03:25:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:25:08 - mmengine - INFO - Epoch(train) [27][1320/3757] lr: 1.000e-02 eta: 20:22:05 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 5.5129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3002 loss: 2.3002 2022/06/28 03:25:14 - mmengine - INFO - Epoch(train) [27][1340/3757] lr: 1.000e-02 eta: 20:21:59 time: 0.219 data_time: 0.018 memory: 5150 grad_norm: 6.4659 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0599 loss: 2.0599 2022/06/28 03:25:20 - mmengine - INFO - Epoch(train) [27][1360/3757] lr: 1.000e-02 eta: 20:21:56 time: 1.245 data_time: 0.016 memory: 5150 grad_norm: 5.2617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7628 loss: 1.7628 2022/06/28 03:25:25 - mmengine - INFO - Epoch(train) [27][1380/3757] lr: 1.000e-02 eta: 20:21:49 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.3859 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1408 loss: 2.1408 2022/06/28 03:25:30 - mmengine - INFO - Epoch(train) [27][1400/3757] lr: 1.000e-02 eta: 20:21:44 time: 0.317 data_time: 0.014 memory: 5150 grad_norm: 5.5596 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2602 loss: 2.2602 2022/06/28 03:25:36 - mmengine - INFO - Epoch(train) [27][1420/3757] lr: 1.000e-02 eta: 20:21:40 time: 0.794 data_time: 0.010 memory: 5150 grad_norm: 6.1663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7261 loss: 1.7261 2022/06/28 03:25:40 - mmengine - INFO - Epoch(train) [27][1440/3757] lr: 1.000e-02 eta: 20:21:33 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 5.6753 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/06/28 03:25:46 - mmengine - INFO - Epoch(train) [27][1460/3757] lr: 1.000e-02 eta: 20:21:28 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 5.5472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2277 loss: 2.2277 2022/06/28 03:25:52 - mmengine - INFO - Epoch(train) [27][1480/3757] lr: 1.000e-02 eta: 20:21:25 time: 1.058 data_time: 0.006 memory: 5150 grad_norm: 6.3965 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4306 loss: 2.4306 2022/06/28 03:25:56 - mmengine - INFO - Epoch(train) [27][1500/3757] lr: 1.000e-02 eta: 20:21:17 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 5.5948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6471 loss: 1.6471 2022/06/28 03:26:02 - mmengine - INFO - Epoch(train) [27][1520/3757] lr: 1.000e-02 eta: 20:21:14 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 5.2979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9977 loss: 1.9977 2022/06/28 03:26:07 - mmengine - INFO - Epoch(train) [27][1540/3757] lr: 1.000e-02 eta: 20:21:07 time: 0.951 data_time: 0.008 memory: 5150 grad_norm: 6.0380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0408 loss: 2.0408 2022/06/28 03:26:12 - mmengine - INFO - Epoch(train) [27][1560/3757] lr: 1.000e-02 eta: 20:21:01 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.6716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8982 loss: 1.8982 2022/06/28 03:26:18 - mmengine - INFO - Epoch(train) [27][1580/3757] lr: 1.000e-02 eta: 20:20:57 time: 0.223 data_time: 0.009 memory: 5150 grad_norm: 5.9748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0050 loss: 2.0050 2022/06/28 03:26:23 - mmengine - INFO - Epoch(train) [27][1600/3757] lr: 1.000e-02 eta: 20:20:52 time: 0.789 data_time: 0.007 memory: 5150 grad_norm: 5.9582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6544 loss: 1.6544 2022/06/28 03:26:28 - mmengine - INFO - Epoch(train) [27][1620/3757] lr: 1.000e-02 eta: 20:20:45 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 5.8802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0381 loss: 2.0381 2022/06/28 03:26:33 - mmengine - INFO - Epoch(train) [27][1640/3757] lr: 1.000e-02 eta: 20:20:40 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.1899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2600 loss: 2.2600 2022/06/28 03:26:39 - mmengine - INFO - Epoch(train) [27][1660/3757] lr: 1.000e-02 eta: 20:20:35 time: 0.739 data_time: 0.007 memory: 5150 grad_norm: 5.5248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2701 loss: 2.2701 2022/06/28 03:26:44 - mmengine - INFO - Epoch(train) [27][1680/3757] lr: 1.000e-02 eta: 20:20:29 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 6.6359 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.1613 loss: 2.1613 2022/06/28 03:26:49 - mmengine - INFO - Epoch(train) [27][1700/3757] lr: 1.000e-02 eta: 20:20:24 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 5.0253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0833 loss: 2.0833 2022/06/28 03:26:55 - mmengine - INFO - Epoch(train) [27][1720/3757] lr: 1.000e-02 eta: 20:20:19 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.3319 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2482 loss: 2.2482 2022/06/28 03:27:00 - mmengine - INFO - Epoch(train) [27][1740/3757] lr: 1.000e-02 eta: 20:20:13 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 6.6943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1079 loss: 2.1079 2022/06/28 03:27:05 - mmengine - INFO - Epoch(train) [27][1760/3757] lr: 1.000e-02 eta: 20:20:08 time: 0.226 data_time: 0.012 memory: 5150 grad_norm: 5.6123 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9819 loss: 1.9819 2022/06/28 03:27:11 - mmengine - INFO - Epoch(train) [27][1780/3757] lr: 1.000e-02 eta: 20:20:03 time: 0.890 data_time: 0.007 memory: 5150 grad_norm: 5.6904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1275 loss: 2.1275 2022/06/28 03:27:16 - mmengine - INFO - Epoch(train) [27][1800/3757] lr: 1.000e-02 eta: 20:19:57 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.4204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0080 loss: 2.0080 2022/06/28 03:27:22 - mmengine - INFO - Epoch(train) [27][1820/3757] lr: 1.000e-02 eta: 20:19:53 time: 0.269 data_time: 0.007 memory: 5150 grad_norm: 6.0768 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0625 loss: 2.0625 2022/06/28 03:27:27 - mmengine - INFO - Epoch(train) [27][1840/3757] lr: 1.000e-02 eta: 20:19:48 time: 0.714 data_time: 0.018 memory: 5150 grad_norm: 4.7339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6390 loss: 1.6390 2022/06/28 03:27:32 - mmengine - INFO - Epoch(train) [27][1860/3757] lr: 1.000e-02 eta: 20:19:42 time: 0.204 data_time: 0.029 memory: 5150 grad_norm: 5.5001 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2796 loss: 2.2796 2022/06/28 03:27:38 - mmengine - INFO - Epoch(train) [27][1880/3757] lr: 1.000e-02 eta: 20:19:39 time: 1.117 data_time: 0.007 memory: 5150 grad_norm: 5.3477 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2019 loss: 2.2019 2022/06/28 03:27:43 - mmengine - INFO - Epoch(train) [27][1900/3757] lr: 1.000e-02 eta: 20:19:33 time: 0.721 data_time: 0.020 memory: 5150 grad_norm: 5.0476 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1692 loss: 2.1692 2022/06/28 03:27:49 - mmengine - INFO - Epoch(train) [27][1920/3757] lr: 1.000e-02 eta: 20:19:28 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3739 loss: 2.3739 2022/06/28 03:27:54 - mmengine - INFO - Epoch(train) [27][1940/3757] lr: 1.000e-02 eta: 20:19:23 time: 0.525 data_time: 0.007 memory: 5150 grad_norm: 5.5022 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1361 loss: 2.1361 2022/06/28 03:27:59 - mmengine - INFO - Epoch(train) [27][1960/3757] lr: 1.000e-02 eta: 20:19:17 time: 0.423 data_time: 0.006 memory: 5150 grad_norm: 5.5946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1742 loss: 2.1742 2022/06/28 03:28:04 - mmengine - INFO - Epoch(train) [27][1980/3757] lr: 1.000e-02 eta: 20:19:12 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 6.0531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9602 loss: 1.9602 2022/06/28 03:28:10 - mmengine - INFO - Epoch(train) [27][2000/3757] lr: 1.000e-02 eta: 20:19:08 time: 0.691 data_time: 0.007 memory: 5150 grad_norm: 5.5654 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9368 loss: 1.9368 2022/06/28 03:28:15 - mmengine - INFO - Epoch(train) [27][2020/3757] lr: 1.000e-02 eta: 20:19:01 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.7120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3295 loss: 2.3295 2022/06/28 03:28:20 - mmengine - INFO - Epoch(train) [27][2040/3757] lr: 1.000e-02 eta: 20:18:55 time: 0.190 data_time: 0.007 memory: 5150 grad_norm: 6.0941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2290 loss: 2.2290 2022/06/28 03:28:25 - mmengine - INFO - Epoch(train) [27][2060/3757] lr: 1.000e-02 eta: 20:18:50 time: 0.724 data_time: 0.012 memory: 5150 grad_norm: 5.6920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1511 loss: 2.1511 2022/06/28 03:28:30 - mmengine - INFO - Epoch(train) [27][2080/3757] lr: 1.000e-02 eta: 20:18:44 time: 0.508 data_time: 0.007 memory: 5150 grad_norm: 5.7379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9045 loss: 1.9045 2022/06/28 03:28:36 - mmengine - INFO - Epoch(train) [27][2100/3757] lr: 1.000e-02 eta: 20:18:38 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5434 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0790 loss: 2.0790 2022/06/28 03:28:42 - mmengine - INFO - Epoch(train) [27][2120/3757] lr: 1.000e-02 eta: 20:18:35 time: 1.194 data_time: 0.027 memory: 5150 grad_norm: 5.6195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0532 loss: 2.0532 2022/06/28 03:28:46 - mmengine - INFO - Epoch(train) [27][2140/3757] lr: 1.000e-02 eta: 20:18:28 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.5774 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3241 loss: 2.3241 2022/06/28 03:28:52 - mmengine - INFO - Epoch(train) [27][2160/3757] lr: 1.000e-02 eta: 20:18:24 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.9811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0106 loss: 2.0106 2022/06/28 03:28:57 - mmengine - INFO - Epoch(train) [27][2180/3757] lr: 1.000e-02 eta: 20:18:18 time: 0.234 data_time: 0.021 memory: 5150 grad_norm: 5.8776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0643 loss: 2.0643 2022/06/28 03:29:03 - mmengine - INFO - Epoch(train) [27][2200/3757] lr: 1.000e-02 eta: 20:18:14 time: 0.222 data_time: 0.006 memory: 5150 grad_norm: 5.8515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0339 loss: 2.0339 2022/06/28 03:29:08 - mmengine - INFO - Epoch(train) [27][2220/3757] lr: 1.000e-02 eta: 20:18:09 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.8907 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1678 loss: 2.1678 2022/06/28 03:29:14 - mmengine - INFO - Epoch(train) [27][2240/3757] lr: 1.000e-02 eta: 20:18:04 time: 0.913 data_time: 0.033 memory: 5150 grad_norm: 6.3916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8818 loss: 1.8818 2022/06/28 03:29:19 - mmengine - INFO - Epoch(train) [27][2260/3757] lr: 1.000e-02 eta: 20:17:59 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9370 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0700 loss: 2.0700 2022/06/28 03:29:25 - mmengine - INFO - Epoch(train) [27][2280/3757] lr: 1.000e-02 eta: 20:17:54 time: 0.220 data_time: 0.022 memory: 5150 grad_norm: 5.1619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6452 loss: 1.6452 2022/06/28 03:29:30 - mmengine - INFO - Epoch(train) [27][2300/3757] lr: 1.000e-02 eta: 20:17:48 time: 0.478 data_time: 0.016 memory: 5150 grad_norm: 6.1574 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9380 loss: 1.9380 2022/06/28 03:29:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:29:35 - mmengine - INFO - Epoch(train) [27][2320/3757] lr: 1.000e-02 eta: 20:17:43 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.4748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9650 loss: 1.9650 2022/06/28 03:29:40 - mmengine - INFO - Epoch(train) [27][2340/3757] lr: 1.000e-02 eta: 20:17:38 time: 0.203 data_time: 0.027 memory: 5150 grad_norm: 5.4104 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0030 loss: 2.0030 2022/06/28 03:29:45 - mmengine - INFO - Epoch(train) [27][2360/3757] lr: 1.000e-02 eta: 20:17:32 time: 0.444 data_time: 0.017 memory: 5150 grad_norm: 5.6007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0091 loss: 2.0091 2022/06/28 03:29:51 - mmengine - INFO - Epoch(train) [27][2380/3757] lr: 1.000e-02 eta: 20:17:27 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3783 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4714 loss: 2.4714 2022/06/28 03:29:56 - mmengine - INFO - Epoch(train) [27][2400/3757] lr: 1.000e-02 eta: 20:17:22 time: 0.194 data_time: 0.021 memory: 5150 grad_norm: 5.5803 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0377 loss: 2.0377 2022/06/28 03:30:02 - mmengine - INFO - Epoch(train) [27][2420/3757] lr: 1.000e-02 eta: 20:17:19 time: 1.327 data_time: 0.012 memory: 5150 grad_norm: 5.0656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7900 loss: 1.7900 2022/06/28 03:30:07 - mmengine - INFO - Epoch(train) [27][2440/3757] lr: 1.000e-02 eta: 20:17:12 time: 0.582 data_time: 0.007 memory: 5150 grad_norm: 5.6078 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9475 loss: 1.9475 2022/06/28 03:30:12 - mmengine - INFO - Epoch(train) [27][2460/3757] lr: 1.000e-02 eta: 20:17:06 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.5404 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7630 loss: 1.7630 2022/06/28 03:30:18 - mmengine - INFO - Epoch(train) [27][2480/3757] lr: 1.000e-02 eta: 20:17:02 time: 0.694 data_time: 0.017 memory: 5150 grad_norm: 5.6585 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0799 loss: 2.0799 2022/06/28 03:30:23 - mmengine - INFO - Epoch(train) [27][2500/3757] lr: 1.000e-02 eta: 20:16:57 time: 0.606 data_time: 0.005 memory: 5150 grad_norm: 5.3708 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1845 loss: 2.1845 2022/06/28 03:30:28 - mmengine - INFO - Epoch(train) [27][2520/3757] lr: 1.000e-02 eta: 20:16:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2678 loss: 2.2678 2022/06/28 03:30:34 - mmengine - INFO - Epoch(train) [27][2540/3757] lr: 1.000e-02 eta: 20:16:47 time: 0.586 data_time: 0.007 memory: 5150 grad_norm: 6.6975 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0251 loss: 2.0251 2022/06/28 03:30:39 - mmengine - INFO - Epoch(train) [27][2560/3757] lr: 1.000e-02 eta: 20:16:41 time: 0.340 data_time: 0.006 memory: 5150 grad_norm: 5.8135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1099 loss: 2.1099 2022/06/28 03:30:44 - mmengine - INFO - Epoch(train) [27][2580/3757] lr: 1.000e-02 eta: 20:16:35 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2663 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5021 loss: 2.5021 2022/06/28 03:30:50 - mmengine - INFO - Epoch(train) [27][2600/3757] lr: 1.000e-02 eta: 20:16:30 time: 0.466 data_time: 0.013 memory: 5150 grad_norm: 5.4059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0748 loss: 2.0748 2022/06/28 03:30:55 - mmengine - INFO - Epoch(train) [27][2620/3757] lr: 1.000e-02 eta: 20:16:25 time: 0.430 data_time: 0.007 memory: 5150 grad_norm: 5.9221 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2371 loss: 2.2371 2022/06/28 03:31:00 - mmengine - INFO - Epoch(train) [27][2640/3757] lr: 1.000e-02 eta: 20:16:18 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.1853 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4661 loss: 2.4661 2022/06/28 03:31:06 - mmengine - INFO - Epoch(train) [27][2660/3757] lr: 1.000e-02 eta: 20:16:14 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 6.0193 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1311 loss: 2.1311 2022/06/28 03:31:11 - mmengine - INFO - Epoch(train) [27][2680/3757] lr: 1.000e-02 eta: 20:16:09 time: 0.593 data_time: 0.007 memory: 5150 grad_norm: 6.6965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3612 loss: 2.3612 2022/06/28 03:31:16 - mmengine - INFO - Epoch(train) [27][2700/3757] lr: 1.000e-02 eta: 20:16:03 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 4.7329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0152 loss: 2.0152 2022/06/28 03:31:22 - mmengine - INFO - Epoch(train) [27][2720/3757] lr: 1.000e-02 eta: 20:15:59 time: 0.265 data_time: 0.026 memory: 5150 grad_norm: 4.7963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1919 loss: 2.1919 2022/06/28 03:31:27 - mmengine - INFO - Epoch(train) [27][2740/3757] lr: 1.000e-02 eta: 20:15:54 time: 0.464 data_time: 0.013 memory: 5150 grad_norm: 6.2937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0520 loss: 2.0520 2022/06/28 03:31:32 - mmengine - INFO - Epoch(train) [27][2760/3757] lr: 1.000e-02 eta: 20:15:47 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 6.2520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7777 loss: 1.7777 2022/06/28 03:31:38 - mmengine - INFO - Epoch(train) [27][2780/3757] lr: 1.000e-02 eta: 20:15:43 time: 0.210 data_time: 0.024 memory: 5150 grad_norm: 4.8181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1458 loss: 2.1458 2022/06/28 03:31:43 - mmengine - INFO - Epoch(train) [27][2800/3757] lr: 1.000e-02 eta: 20:15:39 time: 0.617 data_time: 0.015 memory: 5150 grad_norm: 5.8052 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8605 loss: 1.8605 2022/06/28 03:31:48 - mmengine - INFO - Epoch(train) [27][2820/3757] lr: 1.000e-02 eta: 20:15:32 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.2834 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0094 loss: 2.0094 2022/06/28 03:31:53 - mmengine - INFO - Epoch(train) [27][2840/3757] lr: 1.000e-02 eta: 20:15:26 time: 0.231 data_time: 0.018 memory: 5150 grad_norm: 5.6599 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5301 loss: 2.5301 2022/06/28 03:31:59 - mmengine - INFO - Epoch(train) [27][2860/3757] lr: 1.000e-02 eta: 20:15:21 time: 0.441 data_time: 0.018 memory: 5150 grad_norm: 4.6405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0010 loss: 2.0010 2022/06/28 03:32:04 - mmengine - INFO - Epoch(train) [27][2880/3757] lr: 1.000e-02 eta: 20:15:16 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 4.7029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0848 loss: 2.0848 2022/06/28 03:32:10 - mmengine - INFO - Epoch(train) [27][2900/3757] lr: 1.000e-02 eta: 20:15:11 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 6.1750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9782 loss: 1.9782 2022/06/28 03:32:15 - mmengine - INFO - Epoch(train) [27][2920/3757] lr: 1.000e-02 eta: 20:15:06 time: 0.563 data_time: 0.014 memory: 5150 grad_norm: 5.2400 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0407 loss: 2.0407 2022/06/28 03:32:20 - mmengine - INFO - Epoch(train) [27][2940/3757] lr: 1.000e-02 eta: 20:14:59 time: 0.229 data_time: 0.006 memory: 5150 grad_norm: 5.6656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0685 loss: 2.0685 2022/06/28 03:32:26 - mmengine - INFO - Epoch(train) [27][2960/3757] lr: 1.000e-02 eta: 20:14:55 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.1332 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9313 loss: 1.9313 2022/06/28 03:32:31 - mmengine - INFO - Epoch(train) [27][2980/3757] lr: 1.000e-02 eta: 20:14:51 time: 0.576 data_time: 0.011 memory: 5150 grad_norm: 5.3495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8990 loss: 1.8990 2022/06/28 03:32:36 - mmengine - INFO - Epoch(train) [27][3000/3757] lr: 1.000e-02 eta: 20:14:45 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.4237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/06/28 03:32:42 - mmengine - INFO - Epoch(train) [27][3020/3757] lr: 1.000e-02 eta: 20:14:40 time: 0.220 data_time: 0.016 memory: 5150 grad_norm: 5.9927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1029 loss: 2.1029 2022/06/28 03:32:47 - mmengine - INFO - Epoch(train) [27][3040/3757] lr: 1.000e-02 eta: 20:14:35 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.2645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9528 loss: 1.9528 2022/06/28 03:32:52 - mmengine - INFO - Epoch(train) [27][3060/3757] lr: 1.000e-02 eta: 20:14:30 time: 0.235 data_time: 0.006 memory: 5150 grad_norm: 5.7524 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9338 loss: 1.9338 2022/06/28 03:32:58 - mmengine - INFO - Epoch(train) [27][3080/3757] lr: 1.000e-02 eta: 20:14:25 time: 0.854 data_time: 0.010 memory: 5150 grad_norm: 5.3789 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9330 loss: 1.9330 2022/06/28 03:33:03 - mmengine - INFO - Epoch(train) [27][3100/3757] lr: 1.000e-02 eta: 20:14:19 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.3802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3868 loss: 2.3868 2022/06/28 03:33:08 - mmengine - INFO - Epoch(train) [27][3120/3757] lr: 1.000e-02 eta: 20:14:14 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.4834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3926 loss: 2.3926 2022/06/28 03:33:14 - mmengine - INFO - Epoch(train) [27][3140/3757] lr: 1.000e-02 eta: 20:14:09 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.5959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/06/28 03:33:19 - mmengine - INFO - Epoch(train) [27][3160/3757] lr: 1.000e-02 eta: 20:14:04 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2894 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2777 loss: 2.2777 2022/06/28 03:33:25 - mmengine - INFO - Epoch(train) [27][3180/3757] lr: 1.000e-02 eta: 20:14:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0481 loss: 2.0481 2022/06/28 03:33:30 - mmengine - INFO - Epoch(train) [27][3200/3757] lr: 1.000e-02 eta: 20:13:52 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.1241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3349 loss: 2.3349 2022/06/28 03:33:35 - mmengine - INFO - Epoch(train) [27][3220/3757] lr: 1.000e-02 eta: 20:13:48 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.9063 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9818 loss: 1.9818 2022/06/28 03:33:40 - mmengine - INFO - Epoch(train) [27][3240/3757] lr: 1.000e-02 eta: 20:13:42 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.4196 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3061 loss: 2.3061 2022/06/28 03:33:46 - mmengine - INFO - Epoch(train) [27][3260/3757] lr: 1.000e-02 eta: 20:13:38 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.9082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5312 loss: 2.5312 2022/06/28 03:33:51 - mmengine - INFO - Epoch(train) [27][3280/3757] lr: 1.000e-02 eta: 20:13:33 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2064 loss: 2.2064 2022/06/28 03:33:57 - mmengine - INFO - Epoch(train) [27][3300/3757] lr: 1.000e-02 eta: 20:13:27 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3442 loss: 2.3442 2022/06/28 03:34:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:34:02 - mmengine - INFO - Epoch(train) [27][3320/3757] lr: 1.000e-02 eta: 20:13:23 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4060 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0066 loss: 2.0066 2022/06/28 03:34:07 - mmengine - INFO - Epoch(train) [27][3340/3757] lr: 1.000e-02 eta: 20:13:17 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.7914 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0706 loss: 2.0706 2022/06/28 03:34:13 - mmengine - INFO - Epoch(train) [27][3360/3757] lr: 1.000e-02 eta: 20:13:13 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.7501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8031 loss: 1.8031 2022/06/28 03:34:19 - mmengine - INFO - Epoch(train) [27][3380/3757] lr: 1.000e-02 eta: 20:13:08 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.9142 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.1562 loss: 2.1562 2022/06/28 03:34:24 - mmengine - INFO - Epoch(train) [27][3400/3757] lr: 1.000e-02 eta: 20:13:02 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6786 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0155 loss: 2.0155 2022/06/28 03:34:29 - mmengine - INFO - Epoch(train) [27][3420/3757] lr: 1.000e-02 eta: 20:12:57 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.3542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1956 loss: 2.1956 2022/06/28 03:34:34 - mmengine - INFO - Epoch(train) [27][3440/3757] lr: 1.000e-02 eta: 20:12:52 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.6068 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2827 loss: 2.2827 2022/06/28 03:34:39 - mmengine - INFO - Epoch(train) [27][3460/3757] lr: 1.000e-02 eta: 20:12:45 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.8345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3087 loss: 2.3087 2022/06/28 03:34:45 - mmengine - INFO - Epoch(train) [27][3480/3757] lr: 1.000e-02 eta: 20:12:41 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.5883 loss: 2.5883 2022/06/28 03:34:50 - mmengine - INFO - Epoch(train) [27][3500/3757] lr: 1.000e-02 eta: 20:12:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.0744 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3505 loss: 2.3505 2022/06/28 03:34:55 - mmengine - INFO - Epoch(train) [27][3520/3757] lr: 1.000e-02 eta: 20:12:30 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.0511 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7214 loss: 1.7214 2022/06/28 03:35:01 - mmengine - INFO - Epoch(train) [27][3540/3757] lr: 1.000e-02 eta: 20:12:25 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6904 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2993 loss: 2.2993 2022/06/28 03:35:06 - mmengine - INFO - Epoch(train) [27][3560/3757] lr: 1.000e-02 eta: 20:12:21 time: 0.584 data_time: 0.006 memory: 5150 grad_norm: 5.9493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8807 loss: 1.8807 2022/06/28 03:35:11 - mmengine - INFO - Epoch(train) [27][3580/3757] lr: 1.000e-02 eta: 20:12:15 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.3155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3893 loss: 2.3893 2022/06/28 03:35:17 - mmengine - INFO - Epoch(train) [27][3600/3757] lr: 1.000e-02 eta: 20:12:09 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.9730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9105 loss: 1.9105 2022/06/28 03:35:22 - mmengine - INFO - Epoch(train) [27][3620/3757] lr: 1.000e-02 eta: 20:12:05 time: 0.315 data_time: 0.024 memory: 5150 grad_norm: 5.2343 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9551 loss: 1.9551 2022/06/28 03:35:27 - mmengine - INFO - Epoch(train) [27][3640/3757] lr: 1.000e-02 eta: 20:11:58 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.7842 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5198 loss: 2.5198 2022/06/28 03:35:32 - mmengine - INFO - Epoch(train) [27][3660/3757] lr: 1.000e-02 eta: 20:11:53 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.7220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.4545 loss: 2.4545 2022/06/28 03:35:38 - mmengine - INFO - Epoch(train) [27][3680/3757] lr: 1.000e-02 eta: 20:11:48 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 5.8013 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9353 loss: 1.9353 2022/06/28 03:35:43 - mmengine - INFO - Epoch(train) [27][3700/3757] lr: 1.000e-02 eta: 20:11:42 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.1623 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1622 loss: 2.1622 2022/06/28 03:35:49 - mmengine - INFO - Epoch(train) [27][3720/3757] lr: 1.000e-02 eta: 20:11:39 time: 0.936 data_time: 0.010 memory: 5150 grad_norm: 5.3963 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1341 loss: 2.1341 2022/06/28 03:35:54 - mmengine - INFO - Epoch(train) [27][3740/3757] lr: 1.000e-02 eta: 20:11:33 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.0045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8829 loss: 1.8829 2022/06/28 03:35:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:36:31 - mmengine - INFO - Epoch(val) [27][20/310] eta: 0:05:43 time: 1.051 data_time: 0.402 memory: 9746 2022/06/28 03:36:53 - mmengine - INFO - Epoch(val) [27][40/310] eta: 0:04:59 time: 0.957 data_time: 0.305 memory: 9746 2022/06/28 03:37:17 - mmengine - INFO - Epoch(val) [27][60/310] eta: 0:04:27 time: 1.073 data_time: 0.421 memory: 9746 2022/06/28 03:37:39 - mmengine - INFO - Epoch(val) [27][80/310] eta: 0:04:13 time: 1.018 data_time: 0.354 memory: 9746 2022/06/28 03:38:02 - mmengine - INFO - Epoch(val) [27][100/310] eta: 0:04:06 time: 1.026 data_time: 0.381 memory: 9746 2022/06/28 03:38:23 - mmengine - INFO - Epoch(val) [27][120/310] eta: 0:03:16 time: 1.069 data_time: 0.436 memory: 9746 2022/06/28 03:38:47 - mmengine - INFO - Epoch(val) [27][140/310] eta: 0:03:08 time: 1.062 data_time: 0.406 memory: 9746 2022/06/28 03:39:12 - mmengine - INFO - Epoch(val) [27][160/310] eta: 0:03:24 time: 3.982 data_time: 3.297 memory: 9746 2022/06/28 03:39:36 - mmengine - INFO - Epoch(val) [27][180/310] eta: 0:02:47 time: 1.097 data_time: 0.448 memory: 9746 2022/06/28 03:39:58 - mmengine - INFO - Epoch(val) [27][200/310] eta: 0:02:11 time: 1.041 data_time: 0.401 memory: 9746 2022/06/28 03:40:19 - mmengine - INFO - Epoch(val) [27][220/310] eta: 0:01:36 time: 0.936 data_time: 0.303 memory: 9746 2022/06/28 03:40:41 - mmengine - INFO - Epoch(val) [27][240/310] eta: 0:01:17 time: 1.090 data_time: 0.436 memory: 9746 2022/06/28 03:41:03 - mmengine - INFO - Epoch(val) [27][260/310] eta: 0:00:57 time: 1.089 data_time: 0.368 memory: 9746 2022/06/28 03:41:26 - mmengine - INFO - Epoch(val) [27][280/310] eta: 0:00:34 time: 1.582 data_time: 0.943 memory: 9746 2022/06/28 03:41:46 - mmengine - INFO - Epoch(val) [27][300/310] eta: 0:00:09 time: 0.692 data_time: 0.102 memory: 9746 2022/06/28 03:42:00 - mmengine - INFO - Epoch(val) [27][310/310] acc/top1: 0.6105 acc/top5: 0.8397 acc/mean1: 0.6103 2022/06/28 03:42:09 - mmengine - INFO - Epoch(train) [28][20/3757] lr: 1.000e-02 eta: 20:11:24 time: 0.211 data_time: 0.017 memory: 9746 grad_norm: 5.2024 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2818 loss: 2.2818 2022/06/28 03:42:14 - mmengine - INFO - Epoch(train) [28][40/3757] lr: 1.000e-02 eta: 20:11:20 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.3260 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9581 loss: 1.9581 2022/06/28 03:42:19 - mmengine - INFO - Epoch(train) [28][60/3757] lr: 1.000e-02 eta: 20:11:13 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.3535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0985 loss: 2.0985 2022/06/28 03:42:25 - mmengine - INFO - Epoch(train) [28][80/3757] lr: 1.000e-02 eta: 20:11:10 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 5.1327 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3230 loss: 2.3230 2022/06/28 03:42:30 - mmengine - INFO - Epoch(train) [28][100/3757] lr: 1.000e-02 eta: 20:11:05 time: 0.190 data_time: 0.015 memory: 5150 grad_norm: 5.8685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8193 loss: 1.8193 2022/06/28 03:42:35 - mmengine - INFO - Epoch(train) [28][120/3757] lr: 1.000e-02 eta: 20:10:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6510 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0222 loss: 2.0222 2022/06/28 03:42:41 - mmengine - INFO - Epoch(train) [28][140/3757] lr: 1.000e-02 eta: 20:10:54 time: 0.194 data_time: 0.017 memory: 5150 grad_norm: 6.0570 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1083 loss: 2.1083 2022/06/28 03:42:46 - mmengine - INFO - Epoch(train) [28][160/3757] lr: 1.000e-02 eta: 20:10:49 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 4.8405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0156 loss: 2.0156 2022/06/28 03:42:52 - mmengine - INFO - Epoch(train) [28][180/3757] lr: 1.000e-02 eta: 20:10:44 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.3866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8521 loss: 1.8521 2022/06/28 03:42:57 - mmengine - INFO - Epoch(train) [28][200/3757] lr: 1.000e-02 eta: 20:10:40 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.6811 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9303 loss: 1.9303 2022/06/28 03:43:04 - mmengine - INFO - Epoch(train) [28][220/3757] lr: 1.000e-02 eta: 20:10:38 time: 1.834 data_time: 0.007 memory: 5150 grad_norm: 5.5284 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8857 loss: 1.8857 2022/06/28 03:43:08 - mmengine - INFO - Epoch(train) [28][240/3757] lr: 1.000e-02 eta: 20:10:29 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.6985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0156 loss: 2.0156 2022/06/28 03:43:13 - mmengine - INFO - Epoch(train) [28][260/3757] lr: 1.000e-02 eta: 20:10:23 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 5.4404 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1810 loss: 2.1810 2022/06/28 03:43:19 - mmengine - INFO - Epoch(train) [28][280/3757] lr: 1.000e-02 eta: 20:10:19 time: 0.976 data_time: 0.007 memory: 5150 grad_norm: 5.3520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6419 loss: 1.6419 2022/06/28 03:43:23 - mmengine - INFO - Epoch(train) [28][300/3757] lr: 1.000e-02 eta: 20:10:12 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8488 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1469 loss: 2.1469 2022/06/28 03:43:29 - mmengine - INFO - Epoch(train) [28][320/3757] lr: 1.000e-02 eta: 20:10:08 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.5699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7283 loss: 1.7283 2022/06/28 03:43:34 - mmengine - INFO - Epoch(train) [28][340/3757] lr: 1.000e-02 eta: 20:10:02 time: 0.329 data_time: 0.007 memory: 5150 grad_norm: 6.2403 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2770 loss: 2.2770 2022/06/28 03:43:39 - mmengine - INFO - Epoch(train) [28][360/3757] lr: 1.000e-02 eta: 20:09:56 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.5900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8878 loss: 1.8878 2022/06/28 03:43:45 - mmengine - INFO - Epoch(train) [28][380/3757] lr: 1.000e-02 eta: 20:09:52 time: 0.199 data_time: 0.021 memory: 5150 grad_norm: 5.9423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6016 loss: 1.6016 2022/06/28 03:43:50 - mmengine - INFO - Epoch(train) [28][400/3757] lr: 1.000e-02 eta: 20:09:45 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 5.7679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0393 loss: 2.0393 2022/06/28 03:43:55 - mmengine - INFO - Epoch(train) [28][420/3757] lr: 1.000e-02 eta: 20:09:39 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.9819 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.4421 loss: 2.4421 2022/06/28 03:44:00 - mmengine - INFO - Epoch(train) [28][440/3757] lr: 1.000e-02 eta: 20:09:34 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 5.8573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0678 loss: 2.0678 2022/06/28 03:44:06 - mmengine - INFO - Epoch(train) [28][460/3757] lr: 1.000e-02 eta: 20:09:30 time: 0.405 data_time: 0.007 memory: 5150 grad_norm: 5.4199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/06/28 03:44:11 - mmengine - INFO - Epoch(train) [28][480/3757] lr: 1.000e-02 eta: 20:09:24 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 6.1588 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/06/28 03:44:17 - mmengine - INFO - Epoch(train) [28][500/3757] lr: 1.000e-02 eta: 20:09:20 time: 0.209 data_time: 0.029 memory: 5150 grad_norm: 5.3443 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1063 loss: 2.1063 2022/06/28 03:44:23 - mmengine - INFO - Epoch(train) [28][520/3757] lr: 1.000e-02 eta: 20:09:17 time: 1.167 data_time: 0.011 memory: 5150 grad_norm: 5.9902 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.2445 loss: 2.2445 2022/06/28 03:44:28 - mmengine - INFO - Epoch(train) [28][540/3757] lr: 1.000e-02 eta: 20:09:10 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.8636 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5886 loss: 1.5886 2022/06/28 03:44:33 - mmengine - INFO - Epoch(train) [28][560/3757] lr: 1.000e-02 eta: 20:09:05 time: 0.221 data_time: 0.015 memory: 5150 grad_norm: 5.3354 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2430 loss: 2.2430 2022/06/28 03:44:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:44:39 - mmengine - INFO - Epoch(train) [28][580/3757] lr: 1.000e-02 eta: 20:09:00 time: 0.948 data_time: 0.007 memory: 5150 grad_norm: 6.7799 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1931 loss: 2.1931 2022/06/28 03:44:44 - mmengine - INFO - Epoch(train) [28][600/3757] lr: 1.000e-02 eta: 20:08:54 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.3693 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0477 loss: 2.0477 2022/06/28 03:44:49 - mmengine - INFO - Epoch(train) [28][620/3757] lr: 1.000e-02 eta: 20:08:48 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 5.6787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8548 loss: 1.8548 2022/06/28 03:44:55 - mmengine - INFO - Epoch(train) [28][640/3757] lr: 1.000e-02 eta: 20:08:44 time: 1.019 data_time: 0.007 memory: 5150 grad_norm: 6.3314 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0545 loss: 2.0545 2022/06/28 03:44:59 - mmengine - INFO - Epoch(train) [28][660/3757] lr: 1.000e-02 eta: 20:08:38 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6186 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6452 loss: 1.6452 2022/06/28 03:45:05 - mmengine - INFO - Epoch(train) [28][680/3757] lr: 1.000e-02 eta: 20:08:33 time: 0.209 data_time: 0.019 memory: 5150 grad_norm: 5.6410 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5581 loss: 2.5581 2022/06/28 03:45:11 - mmengine - INFO - Epoch(train) [28][700/3757] lr: 1.000e-02 eta: 20:08:29 time: 0.968 data_time: 0.006 memory: 5150 grad_norm: 6.8957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7574 loss: 1.7574 2022/06/28 03:45:16 - mmengine - INFO - Epoch(train) [28][720/3757] lr: 1.000e-02 eta: 20:08:23 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.5047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0629 loss: 2.0629 2022/06/28 03:45:22 - mmengine - INFO - Epoch(train) [28][740/3757] lr: 1.000e-02 eta: 20:08:19 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.9247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8882 loss: 1.8882 2022/06/28 03:45:27 - mmengine - INFO - Epoch(train) [28][760/3757] lr: 1.000e-02 eta: 20:08:13 time: 0.684 data_time: 0.010 memory: 5150 grad_norm: 6.3242 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4222 loss: 2.4222 2022/06/28 03:45:32 - mmengine - INFO - Epoch(train) [28][780/3757] lr: 1.000e-02 eta: 20:08:08 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.8440 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.0299 loss: 2.0299 2022/06/28 03:45:38 - mmengine - INFO - Epoch(train) [28][800/3757] lr: 1.000e-02 eta: 20:08:03 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 5.9047 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9027 loss: 1.9027 2022/06/28 03:45:42 - mmengine - INFO - Epoch(train) [28][820/3757] lr: 1.000e-02 eta: 20:07:56 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 5.3265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7482 loss: 1.7482 2022/06/28 03:45:48 - mmengine - INFO - Epoch(train) [28][840/3757] lr: 1.000e-02 eta: 20:07:51 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 6.3412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3661 loss: 2.3661 2022/06/28 03:45:54 - mmengine - INFO - Epoch(train) [28][860/3757] lr: 1.000e-02 eta: 20:07:47 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 4.6637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9042 loss: 1.9042 2022/06/28 03:45:58 - mmengine - INFO - Epoch(train) [28][880/3757] lr: 1.000e-02 eta: 20:07:40 time: 0.296 data_time: 0.011 memory: 5150 grad_norm: 5.8911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0918 loss: 2.0918 2022/06/28 03:46:04 - mmengine - INFO - Epoch(train) [28][900/3757] lr: 1.000e-02 eta: 20:07:36 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.5628 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1861 loss: 2.1861 2022/06/28 03:46:10 - mmengine - INFO - Epoch(train) [28][920/3757] lr: 1.000e-02 eta: 20:07:32 time: 0.239 data_time: 0.010 memory: 5150 grad_norm: 5.3274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8868 loss: 1.8868 2022/06/28 03:46:15 - mmengine - INFO - Epoch(train) [28][940/3757] lr: 1.000e-02 eta: 20:07:26 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.8334 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2379 loss: 2.2379 2022/06/28 03:46:20 - mmengine - INFO - Epoch(train) [28][960/3757] lr: 1.000e-02 eta: 20:07:20 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.3973 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3326 loss: 2.3326 2022/06/28 03:46:25 - mmengine - INFO - Epoch(train) [28][980/3757] lr: 1.000e-02 eta: 20:07:15 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 4.9335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9128 loss: 1.9128 2022/06/28 03:46:30 - mmengine - INFO - Epoch(train) [28][1000/3757] lr: 1.000e-02 eta: 20:07:09 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.6972 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1677 loss: 2.1677 2022/06/28 03:46:36 - mmengine - INFO - Epoch(train) [28][1020/3757] lr: 1.000e-02 eta: 20:07:03 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.7081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/06/28 03:46:41 - mmengine - INFO - Epoch(train) [28][1040/3757] lr: 1.000e-02 eta: 20:06:58 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.9158 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9676 loss: 1.9676 2022/06/28 03:46:46 - mmengine - INFO - Epoch(train) [28][1060/3757] lr: 1.000e-02 eta: 20:06:52 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.1217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8809 loss: 1.8809 2022/06/28 03:46:52 - mmengine - INFO - Epoch(train) [28][1080/3757] lr: 1.000e-02 eta: 20:06:48 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.4199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9662 loss: 1.9662 2022/06/28 03:46:57 - mmengine - INFO - Epoch(train) [28][1100/3757] lr: 1.000e-02 eta: 20:06:43 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.1404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0408 loss: 2.0408 2022/06/28 03:47:02 - mmengine - INFO - Epoch(train) [28][1120/3757] lr: 1.000e-02 eta: 20:06:37 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8894 loss: 1.8894 2022/06/28 03:47:08 - mmengine - INFO - Epoch(train) [28][1140/3757] lr: 1.000e-02 eta: 20:06:33 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9422 loss: 1.9422 2022/06/28 03:47:13 - mmengine - INFO - Epoch(train) [28][1160/3757] lr: 1.000e-02 eta: 20:06:26 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 5.1516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9570 loss: 1.9570 2022/06/28 03:47:18 - mmengine - INFO - Epoch(train) [28][1180/3757] lr: 1.000e-02 eta: 20:06:22 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0948 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9653 loss: 1.9653 2022/06/28 03:47:25 - mmengine - INFO - Epoch(train) [28][1200/3757] lr: 1.000e-02 eta: 20:06:20 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.7713 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4013 loss: 2.4013 2022/06/28 03:47:29 - mmengine - INFO - Epoch(train) [28][1220/3757] lr: 1.000e-02 eta: 20:06:12 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7512 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6992 loss: 1.6992 2022/06/28 03:47:35 - mmengine - INFO - Epoch(train) [28][1240/3757] lr: 1.000e-02 eta: 20:06:07 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.1047 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9214 loss: 1.9214 2022/06/28 03:47:40 - mmengine - INFO - Epoch(train) [28][1260/3757] lr: 1.000e-02 eta: 20:06:01 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4876 loss: 1.4876 2022/06/28 03:47:45 - mmengine - INFO - Epoch(train) [28][1280/3757] lr: 1.000e-02 eta: 20:05:55 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.0901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5909 loss: 1.5909 2022/06/28 03:47:50 - mmengine - INFO - Epoch(train) [28][1300/3757] lr: 1.000e-02 eta: 20:05:50 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.3138 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9034 loss: 1.9034 2022/06/28 03:47:56 - mmengine - INFO - Epoch(train) [28][1320/3757] lr: 1.000e-02 eta: 20:05:46 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.0289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9684 loss: 1.9684 2022/06/28 03:48:01 - mmengine - INFO - Epoch(train) [28][1340/3757] lr: 1.000e-02 eta: 20:05:40 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 5.0164 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.4239 loss: 2.4239 2022/06/28 03:48:07 - mmengine - INFO - Epoch(train) [28][1360/3757] lr: 1.000e-02 eta: 20:05:36 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 4.8592 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9624 loss: 1.9624 2022/06/28 03:48:13 - mmengine - INFO - Epoch(train) [28][1380/3757] lr: 1.000e-02 eta: 20:05:32 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 4.9341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0193 loss: 2.0193 2022/06/28 03:48:18 - mmengine - INFO - Epoch(train) [28][1400/3757] lr: 1.000e-02 eta: 20:05:26 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.6831 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7752 loss: 1.7752 2022/06/28 03:48:23 - mmengine - INFO - Epoch(train) [28][1420/3757] lr: 1.000e-02 eta: 20:05:20 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 5.7634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9994 loss: 1.9994 2022/06/28 03:48:28 - mmengine - INFO - Epoch(train) [28][1440/3757] lr: 1.000e-02 eta: 20:05:15 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.4288 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2067 loss: 2.2067 2022/06/28 03:48:33 - mmengine - INFO - Epoch(train) [28][1460/3757] lr: 1.000e-02 eta: 20:05:08 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.7217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1333 loss: 2.1333 2022/06/28 03:48:39 - mmengine - INFO - Epoch(train) [28][1480/3757] lr: 1.000e-02 eta: 20:05:04 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 5.0592 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0952 loss: 2.0952 2022/06/28 03:48:44 - mmengine - INFO - Epoch(train) [28][1500/3757] lr: 1.000e-02 eta: 20:05:00 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3056 loss: 2.3056 2022/06/28 03:48:49 - mmengine - INFO - Epoch(train) [28][1520/3757] lr: 1.000e-02 eta: 20:04:53 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.2864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1172 loss: 2.1172 2022/06/28 03:48:55 - mmengine - INFO - Epoch(train) [28][1540/3757] lr: 1.000e-02 eta: 20:04:49 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.9581 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0379 loss: 2.0379 2022/06/28 03:49:00 - mmengine - INFO - Epoch(train) [28][1560/3757] lr: 1.000e-02 eta: 20:04:44 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2011 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5551 loss: 2.5551 2022/06/28 03:49:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:49:05 - mmengine - INFO - Epoch(train) [28][1580/3757] lr: 1.000e-02 eta: 20:04:38 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.1722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2139 loss: 2.2139 2022/06/28 03:49:11 - mmengine - INFO - Epoch(train) [28][1600/3757] lr: 1.000e-02 eta: 20:04:32 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2260 loss: 2.2260 2022/06/28 03:49:16 - mmengine - INFO - Epoch(train) [28][1620/3757] lr: 1.000e-02 eta: 20:04:28 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.1227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4177 loss: 2.4177 2022/06/28 03:49:21 - mmengine - INFO - Epoch(train) [28][1640/3757] lr: 1.000e-02 eta: 20:04:21 time: 0.442 data_time: 0.010 memory: 5150 grad_norm: 5.3790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9841 loss: 1.9841 2022/06/28 03:49:26 - mmengine - INFO - Epoch(train) [28][1660/3757] lr: 1.000e-02 eta: 20:04:16 time: 0.228 data_time: 0.006 memory: 5150 grad_norm: 5.6067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1624 loss: 2.1624 2022/06/28 03:49:32 - mmengine - INFO - Epoch(train) [28][1680/3757] lr: 1.000e-02 eta: 20:04:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8471 loss: 1.8471 2022/06/28 03:49:37 - mmengine - INFO - Epoch(train) [28][1700/3757] lr: 1.000e-02 eta: 20:04:05 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.8064 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2818 loss: 2.2818 2022/06/28 03:49:42 - mmengine - INFO - Epoch(train) [28][1720/3757] lr: 1.000e-02 eta: 20:03:59 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5143 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1849 loss: 2.1849 2022/06/28 03:49:48 - mmengine - INFO - Epoch(train) [28][1740/3757] lr: 1.000e-02 eta: 20:03:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9437 loss: 1.9437 2022/06/28 03:49:53 - mmengine - INFO - Epoch(train) [28][1760/3757] lr: 1.000e-02 eta: 20:03:51 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 5.2308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0138 loss: 2.0138 2022/06/28 03:49:58 - mmengine - INFO - Epoch(train) [28][1780/3757] lr: 1.000e-02 eta: 20:03:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9642 loss: 1.9642 2022/06/28 03:50:04 - mmengine - INFO - Epoch(train) [28][1800/3757] lr: 1.000e-02 eta: 20:03:40 time: 0.319 data_time: 0.012 memory: 5150 grad_norm: 5.6842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0718 loss: 2.0718 2022/06/28 03:50:09 - mmengine - INFO - Epoch(train) [28][1820/3757] lr: 1.000e-02 eta: 20:03:36 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 5.7072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1382 loss: 2.1382 2022/06/28 03:50:14 - mmengine - INFO - Epoch(train) [28][1840/3757] lr: 1.000e-02 eta: 20:03:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1497 loss: 2.1497 2022/06/28 03:50:20 - mmengine - INFO - Epoch(train) [28][1860/3757] lr: 1.000e-02 eta: 20:03:24 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1142 loss: 2.1142 2022/06/28 03:50:26 - mmengine - INFO - Epoch(train) [28][1880/3757] lr: 1.000e-02 eta: 20:03:20 time: 0.222 data_time: 0.012 memory: 5150 grad_norm: 5.7436 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3330 loss: 2.3330 2022/06/28 03:50:30 - mmengine - INFO - Epoch(train) [28][1900/3757] lr: 1.000e-02 eta: 20:03:13 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 4.7259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9786 loss: 1.9786 2022/06/28 03:50:36 - mmengine - INFO - Epoch(train) [28][1920/3757] lr: 1.000e-02 eta: 20:03:08 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.5328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0808 loss: 2.0808 2022/06/28 03:50:41 - mmengine - INFO - Epoch(train) [28][1940/3757] lr: 1.000e-02 eta: 20:03:04 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.0068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2580 loss: 2.2580 2022/06/28 03:50:47 - mmengine - INFO - Epoch(train) [28][1960/3757] lr: 1.000e-02 eta: 20:02:59 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.9514 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4858 loss: 2.4858 2022/06/28 03:50:52 - mmengine - INFO - Epoch(train) [28][1980/3757] lr: 1.000e-02 eta: 20:02:53 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.2470 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.5749 loss: 1.5749 2022/06/28 03:50:57 - mmengine - INFO - Epoch(train) [28][2000/3757] lr: 1.000e-02 eta: 20:02:48 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.5823 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9268 loss: 1.9268 2022/06/28 03:51:02 - mmengine - INFO - Epoch(train) [28][2020/3757] lr: 1.000e-02 eta: 20:02:42 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9998 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1376 loss: 2.1376 2022/06/28 03:51:08 - mmengine - INFO - Epoch(train) [28][2040/3757] lr: 1.000e-02 eta: 20:02:37 time: 0.348 data_time: 0.007 memory: 5150 grad_norm: 5.9825 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9177 loss: 1.9177 2022/06/28 03:51:13 - mmengine - INFO - Epoch(train) [28][2060/3757] lr: 1.000e-02 eta: 20:02:32 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.7398 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2214 loss: 2.2214 2022/06/28 03:51:18 - mmengine - INFO - Epoch(train) [28][2080/3757] lr: 1.000e-02 eta: 20:02:26 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.3729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2098 loss: 2.2098 2022/06/28 03:51:24 - mmengine - INFO - Epoch(train) [28][2100/3757] lr: 1.000e-02 eta: 20:02:22 time: 1.030 data_time: 0.009 memory: 5150 grad_norm: 5.4804 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3034 loss: 2.3034 2022/06/28 03:51:29 - mmengine - INFO - Epoch(train) [28][2120/3757] lr: 1.000e-02 eta: 20:02:16 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.0617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6828 loss: 1.6828 2022/06/28 03:51:34 - mmengine - INFO - Epoch(train) [28][2140/3757] lr: 1.000e-02 eta: 20:02:11 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0890 loss: 2.0890 2022/06/28 03:51:39 - mmengine - INFO - Epoch(train) [28][2160/3757] lr: 1.000e-02 eta: 20:02:05 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.7624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1515 loss: 2.1515 2022/06/28 03:51:46 - mmengine - INFO - Epoch(train) [28][2180/3757] lr: 1.000e-02 eta: 20:02:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.2176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3510 loss: 2.3510 2022/06/28 03:51:50 - mmengine - INFO - Epoch(train) [28][2200/3757] lr: 1.000e-02 eta: 20:01:55 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.3744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2279 loss: 2.2279 2022/06/28 03:51:55 - mmengine - INFO - Epoch(train) [28][2220/3757] lr: 1.000e-02 eta: 20:01:49 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.8491 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0362 loss: 2.0362 2022/06/28 03:52:01 - mmengine - INFO - Epoch(train) [28][2240/3757] lr: 1.000e-02 eta: 20:01:45 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9994 loss: 1.9994 2022/06/28 03:52:07 - mmengine - INFO - Epoch(train) [28][2260/3757] lr: 1.000e-02 eta: 20:01:40 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.3960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1415 loss: 2.1415 2022/06/28 03:52:12 - mmengine - INFO - Epoch(train) [28][2280/3757] lr: 1.000e-02 eta: 20:01:35 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.8581 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8266 loss: 1.8266 2022/06/28 03:52:17 - mmengine - INFO - Epoch(train) [28][2300/3757] lr: 1.000e-02 eta: 20:01:29 time: 0.193 data_time: 0.006 memory: 5150 grad_norm: 5.1977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3570 loss: 2.3570 2022/06/28 03:52:22 - mmengine - INFO - Epoch(train) [28][2320/3757] lr: 1.000e-02 eta: 20:01:23 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 4.9695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2179 loss: 2.2179 2022/06/28 03:52:27 - mmengine - INFO - Epoch(train) [28][2340/3757] lr: 1.000e-02 eta: 20:01:18 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0211 loss: 2.0211 2022/06/28 03:52:33 - mmengine - INFO - Epoch(train) [28][2360/3757] lr: 1.000e-02 eta: 20:01:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2014 loss: 2.2014 2022/06/28 03:52:39 - mmengine - INFO - Epoch(train) [28][2380/3757] lr: 1.000e-02 eta: 20:01:09 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.4073 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9687 loss: 1.9687 2022/06/28 03:52:44 - mmengine - INFO - Epoch(train) [28][2400/3757] lr: 1.000e-02 eta: 20:01:03 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 5.4487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4364 loss: 2.4364 2022/06/28 03:52:49 - mmengine - INFO - Epoch(train) [28][2420/3757] lr: 1.000e-02 eta: 20:00:58 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8002 loss: 1.8002 2022/06/28 03:52:55 - mmengine - INFO - Epoch(train) [28][2440/3757] lr: 1.000e-02 eta: 20:00:54 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.8362 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8408 loss: 1.8408 2022/06/28 03:53:00 - mmengine - INFO - Epoch(train) [28][2460/3757] lr: 1.000e-02 eta: 20:00:48 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.0906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9629 loss: 1.9629 2022/06/28 03:53:05 - mmengine - INFO - Epoch(train) [28][2480/3757] lr: 1.000e-02 eta: 20:00:42 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7135 loss: 1.7135 2022/06/28 03:53:10 - mmengine - INFO - Epoch(train) [28][2500/3757] lr: 1.000e-02 eta: 20:00:36 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.3256 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1609 loss: 2.1609 2022/06/28 03:53:15 - mmengine - INFO - Epoch(train) [28][2520/3757] lr: 1.000e-02 eta: 20:00:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9695 loss: 1.9695 2022/06/28 03:53:21 - mmengine - INFO - Epoch(train) [28][2540/3757] lr: 1.000e-02 eta: 20:00:26 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2776 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9908 loss: 1.9908 2022/06/28 03:53:27 - mmengine - INFO - Epoch(train) [28][2560/3757] lr: 1.000e-02 eta: 20:00:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.0440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0098 loss: 2.0098 2022/06/28 03:53:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:53:32 - mmengine - INFO - Epoch(train) [28][2580/3757] lr: 1.000e-02 eta: 20:00:16 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 5.7432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0325 loss: 2.0325 2022/06/28 03:53:37 - mmengine - INFO - Epoch(train) [28][2600/3757] lr: 1.000e-02 eta: 20:00:11 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.9742 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1483 loss: 2.1483 2022/06/28 03:53:43 - mmengine - INFO - Epoch(train) [28][2620/3757] lr: 1.000e-02 eta: 20:00:07 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.2266 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4189 loss: 2.4189 2022/06/28 03:53:48 - mmengine - INFO - Epoch(train) [28][2640/3757] lr: 1.000e-02 eta: 20:00:00 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.0540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2330 loss: 2.2330 2022/06/28 03:53:53 - mmengine - INFO - Epoch(train) [28][2660/3757] lr: 1.000e-02 eta: 19:59:55 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.2119 top1_acc: 0.1250 top5_acc: 1.0000 loss_cls: 2.1915 loss: 2.1915 2022/06/28 03:53:59 - mmengine - INFO - Epoch(train) [28][2680/3757] lr: 1.000e-02 eta: 19:59:50 time: 0.249 data_time: 0.010 memory: 5150 grad_norm: 5.1378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1412 loss: 2.1412 2022/06/28 03:54:03 - mmengine - INFO - Epoch(train) [28][2700/3757] lr: 1.000e-02 eta: 19:59:42 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.3447 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9365 loss: 1.9365 2022/06/28 03:54:09 - mmengine - INFO - Epoch(train) [28][2720/3757] lr: 1.000e-02 eta: 19:59:38 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.2273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4875 loss: 2.4875 2022/06/28 03:54:14 - mmengine - INFO - Epoch(train) [28][2740/3757] lr: 1.000e-02 eta: 19:59:33 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 5.2304 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7137 loss: 1.7137 2022/06/28 03:54:19 - mmengine - INFO - Epoch(train) [28][2760/3757] lr: 1.000e-02 eta: 19:59:26 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.0618 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1545 loss: 2.1545 2022/06/28 03:54:25 - mmengine - INFO - Epoch(train) [28][2780/3757] lr: 1.000e-02 eta: 19:59:23 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.2857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0583 loss: 2.0583 2022/06/28 03:54:30 - mmengine - INFO - Epoch(train) [28][2800/3757] lr: 1.000e-02 eta: 19:59:17 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.9319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1270 loss: 2.1270 2022/06/28 03:54:35 - mmengine - INFO - Epoch(train) [28][2820/3757] lr: 1.000e-02 eta: 19:59:11 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9967 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9810 loss: 1.9810 2022/06/28 03:54:41 - mmengine - INFO - Epoch(train) [28][2840/3757] lr: 1.000e-02 eta: 19:59:07 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8337 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3918 loss: 2.3918 2022/06/28 03:54:46 - mmengine - INFO - Epoch(train) [28][2860/3757] lr: 1.000e-02 eta: 19:59:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5690 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7666 loss: 1.7666 2022/06/28 03:54:51 - mmengine - INFO - Epoch(train) [28][2880/3757] lr: 1.000e-02 eta: 19:58:56 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.7231 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7850 loss: 1.7850 2022/06/28 03:54:57 - mmengine - INFO - Epoch(train) [28][2900/3757] lr: 1.000e-02 eta: 19:58:51 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6558 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0062 loss: 2.0062 2022/06/28 03:55:02 - mmengine - INFO - Epoch(train) [28][2920/3757] lr: 1.000e-02 eta: 19:58:46 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.7259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.5682 loss: 2.5682 2022/06/28 03:55:07 - mmengine - INFO - Epoch(train) [28][2940/3757] lr: 1.000e-02 eta: 19:58:40 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7708 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1054 loss: 2.1054 2022/06/28 03:55:13 - mmengine - INFO - Epoch(train) [28][2960/3757] lr: 1.000e-02 eta: 19:58:36 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 4.6720 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7362 loss: 1.7362 2022/06/28 03:55:18 - mmengine - INFO - Epoch(train) [28][2980/3757] lr: 1.000e-02 eta: 19:58:31 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9879 loss: 1.9879 2022/06/28 03:55:24 - mmengine - INFO - Epoch(train) [28][3000/3757] lr: 1.000e-02 eta: 19:58:25 time: 0.205 data_time: 0.031 memory: 5150 grad_norm: 5.4899 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2888 loss: 2.2888 2022/06/28 03:55:29 - mmengine - INFO - Epoch(train) [28][3020/3757] lr: 1.000e-02 eta: 19:58:21 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.5998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2889 loss: 2.2889 2022/06/28 03:55:34 - mmengine - INFO - Epoch(train) [28][3040/3757] lr: 1.000e-02 eta: 19:58:15 time: 0.301 data_time: 0.007 memory: 5150 grad_norm: 5.4272 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2024 loss: 2.2024 2022/06/28 03:55:40 - mmengine - INFO - Epoch(train) [28][3060/3757] lr: 1.000e-02 eta: 19:58:11 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 5.5856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/06/28 03:55:46 - mmengine - INFO - Epoch(train) [28][3080/3757] lr: 1.000e-02 eta: 19:58:07 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.2413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8288 loss: 1.8288 2022/06/28 03:55:50 - mmengine - INFO - Epoch(train) [28][3100/3757] lr: 1.000e-02 eta: 19:57:58 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.5569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5653 loss: 1.5653 2022/06/28 03:55:55 - mmengine - INFO - Epoch(train) [28][3120/3757] lr: 1.000e-02 eta: 19:57:52 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 6.6284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2063 loss: 2.2063 2022/06/28 03:56:01 - mmengine - INFO - Epoch(train) [28][3140/3757] lr: 1.000e-02 eta: 19:57:48 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.3979 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1071 loss: 2.1071 2022/06/28 03:56:06 - mmengine - INFO - Epoch(train) [28][3160/3757] lr: 1.000e-02 eta: 19:57:42 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.2868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8956 loss: 1.8956 2022/06/28 03:56:11 - mmengine - INFO - Epoch(train) [28][3180/3757] lr: 1.000e-02 eta: 19:57:37 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 5.9223 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8901 loss: 1.8901 2022/06/28 03:56:17 - mmengine - INFO - Epoch(train) [28][3200/3757] lr: 1.000e-02 eta: 19:57:32 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.2943 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9824 loss: 1.9824 2022/06/28 03:56:22 - mmengine - INFO - Epoch(train) [28][3220/3757] lr: 1.000e-02 eta: 19:57:27 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9006 loss: 1.9006 2022/06/28 03:56:28 - mmengine - INFO - Epoch(train) [28][3240/3757] lr: 1.000e-02 eta: 19:57:22 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 5.0491 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0243 loss: 2.0243 2022/06/28 03:56:33 - mmengine - INFO - Epoch(train) [28][3260/3757] lr: 1.000e-02 eta: 19:57:16 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 6.0560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0811 loss: 2.0811 2022/06/28 03:56:38 - mmengine - INFO - Epoch(train) [28][3280/3757] lr: 1.000e-02 eta: 19:57:12 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.2589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7629 loss: 1.7629 2022/06/28 03:56:43 - mmengine - INFO - Epoch(train) [28][3300/3757] lr: 1.000e-02 eta: 19:57:06 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 5.1188 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1528 loss: 2.1528 2022/06/28 03:56:49 - mmengine - INFO - Epoch(train) [28][3320/3757] lr: 1.000e-02 eta: 19:57:01 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.5694 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3319 loss: 2.3319 2022/06/28 03:56:54 - mmengine - INFO - Epoch(train) [28][3340/3757] lr: 1.000e-02 eta: 19:56:55 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9958 loss: 1.9958 2022/06/28 03:56:59 - mmengine - INFO - Epoch(train) [28][3360/3757] lr: 1.000e-02 eta: 19:56:50 time: 0.205 data_time: 0.030 memory: 5150 grad_norm: 5.9566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9534 loss: 1.9534 2022/06/28 03:57:04 - mmengine - INFO - Epoch(train) [28][3380/3757] lr: 1.000e-02 eta: 19:56:44 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 6.1708 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1989 loss: 2.1989 2022/06/28 03:57:10 - mmengine - INFO - Epoch(train) [28][3400/3757] lr: 1.000e-02 eta: 19:56:40 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4490 loss: 2.4490 2022/06/28 03:57:16 - mmengine - INFO - Epoch(train) [28][3420/3757] lr: 1.000e-02 eta: 19:56:35 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 5.7301 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0299 loss: 2.0299 2022/06/28 03:57:21 - mmengine - INFO - Epoch(train) [28][3440/3757] lr: 1.000e-02 eta: 19:56:29 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 5.8472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2306 loss: 2.2306 2022/06/28 03:57:26 - mmengine - INFO - Epoch(train) [28][3460/3757] lr: 1.000e-02 eta: 19:56:25 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.8097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0544 loss: 2.0544 2022/06/28 03:57:31 - mmengine - INFO - Epoch(train) [28][3480/3757] lr: 1.000e-02 eta: 19:56:19 time: 0.196 data_time: 0.023 memory: 5150 grad_norm: 5.1588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1106 loss: 2.1106 2022/06/28 03:57:37 - mmengine - INFO - Epoch(train) [28][3500/3757] lr: 1.000e-02 eta: 19:56:14 time: 0.212 data_time: 0.034 memory: 5150 grad_norm: 5.4824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9598 loss: 1.9598 2022/06/28 03:57:42 - mmengine - INFO - Epoch(train) [28][3520/3757] lr: 1.000e-02 eta: 19:56:08 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8365 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1291 loss: 2.1291 2022/06/28 03:57:48 - mmengine - INFO - Epoch(train) [28][3540/3757] lr: 1.000e-02 eta: 19:56:04 time: 0.201 data_time: 0.030 memory: 5150 grad_norm: 6.1366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2100 loss: 2.2100 2022/06/28 03:57:53 - mmengine - INFO - Epoch(train) [28][3560/3757] lr: 1.000e-02 eta: 19:55:58 time: 0.214 data_time: 0.021 memory: 5150 grad_norm: 4.7455 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8564 loss: 1.8564 2022/06/28 03:57:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:57:58 - mmengine - INFO - Epoch(train) [28][3580/3757] lr: 1.000e-02 eta: 19:55:53 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1199 loss: 2.1199 2022/06/28 03:58:04 - mmengine - INFO - Epoch(train) [28][3600/3757] lr: 1.000e-02 eta: 19:55:48 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 4.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8907 loss: 1.8907 2022/06/28 03:58:08 - mmengine - INFO - Epoch(train) [28][3620/3757] lr: 1.000e-02 eta: 19:55:40 time: 0.209 data_time: 0.030 memory: 5150 grad_norm: 5.5348 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1402 loss: 2.1402 2022/06/28 03:58:13 - mmengine - INFO - Epoch(train) [28][3640/3757] lr: 1.000e-02 eta: 19:55:35 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3648 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2200 loss: 2.2200 2022/06/28 03:58:19 - mmengine - INFO - Epoch(train) [28][3660/3757] lr: 1.000e-02 eta: 19:55:31 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.7897 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1805 loss: 2.1805 2022/06/28 03:58:24 - mmengine - INFO - Epoch(train) [28][3680/3757] lr: 1.000e-02 eta: 19:55:25 time: 0.205 data_time: 0.032 memory: 5150 grad_norm: 5.6651 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0896 loss: 2.0896 2022/06/28 03:58:30 - mmengine - INFO - Epoch(train) [28][3700/3757] lr: 1.000e-02 eta: 19:55:20 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1998 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8818 loss: 1.8818 2022/06/28 03:58:35 - mmengine - INFO - Epoch(train) [28][3720/3757] lr: 1.000e-02 eta: 19:55:15 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.8266 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1913 loss: 2.1913 2022/06/28 03:58:40 - mmengine - INFO - Epoch(train) [28][3740/3757] lr: 1.000e-02 eta: 19:55:09 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 5.8242 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9834 loss: 1.9834 2022/06/28 03:58:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 03:59:16 - mmengine - INFO - Epoch(val) [28][20/310] eta: 0:05:26 time: 1.096 data_time: 0.440 memory: 9746 2022/06/28 03:59:39 - mmengine - INFO - Epoch(val) [28][40/310] eta: 0:04:54 time: 1.074 data_time: 0.419 memory: 9746 2022/06/28 04:00:02 - mmengine - INFO - Epoch(val) [28][60/310] eta: 0:04:28 time: 1.177 data_time: 0.518 memory: 9746 2022/06/28 04:00:26 - mmengine - INFO - Epoch(val) [28][80/310] eta: 0:04:55 time: 1.006 data_time: 0.347 memory: 9746 2022/06/28 04:00:50 - mmengine - INFO - Epoch(val) [28][100/310] eta: 0:04:14 time: 2.583 data_time: 1.916 memory: 9746 2022/06/28 04:01:10 - mmengine - INFO - Epoch(val) [28][120/310] eta: 0:03:15 time: 1.043 data_time: 0.392 memory: 9746 2022/06/28 04:01:35 - mmengine - INFO - Epoch(val) [28][140/310] eta: 0:03:25 time: 1.118 data_time: 0.484 memory: 9746 2022/06/28 04:02:00 - mmengine - INFO - Epoch(val) [28][160/310] eta: 0:03:15 time: 3.442 data_time: 2.791 memory: 9746 2022/06/28 04:02:23 - mmengine - INFO - Epoch(val) [28][180/310] eta: 0:02:49 time: 1.138 data_time: 0.495 memory: 9746 2022/06/28 04:02:45 - mmengine - INFO - Epoch(val) [28][200/310] eta: 0:02:03 time: 0.985 data_time: 0.321 memory: 9746 2022/06/28 04:03:07 - mmengine - INFO - Epoch(val) [28][220/310] eta: 0:01:39 time: 1.247 data_time: 0.591 memory: 9746 2022/06/28 04:03:28 - mmengine - INFO - Epoch(val) [28][240/310] eta: 0:01:15 time: 0.977 data_time: 0.338 memory: 9746 2022/06/28 04:03:51 - mmengine - INFO - Epoch(val) [28][260/310] eta: 0:00:59 time: 1.127 data_time: 0.478 memory: 9746 2022/06/28 04:04:15 - mmengine - INFO - Epoch(val) [28][280/310] eta: 0:00:35 time: 2.265 data_time: 1.576 memory: 9746 2022/06/28 04:04:34 - mmengine - INFO - Epoch(val) [28][300/310] eta: 0:00:08 time: 0.655 data_time: 0.079 memory: 9746 2022/06/28 04:04:46 - mmengine - INFO - Epoch(val) [28][310/310] acc/top1: 0.6080 acc/top5: 0.8416 acc/mean1: 0.6080 2022/06/28 04:04:54 - mmengine - INFO - Epoch(train) [29][20/3757] lr: 1.000e-02 eta: 19:55:01 time: 0.196 data_time: 0.011 memory: 9746 grad_norm: 5.6255 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9085 loss: 1.9085 2022/06/28 04:05:00 - mmengine - INFO - Epoch(train) [29][40/3757] lr: 1.000e-02 eta: 19:54:57 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 6.0278 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0301 loss: 2.0301 2022/06/28 04:05:05 - mmengine - INFO - Epoch(train) [29][60/3757] lr: 1.000e-02 eta: 19:54:51 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9829 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1222 loss: 2.1222 2022/06/28 04:05:11 - mmengine - INFO - Epoch(train) [29][80/3757] lr: 1.000e-02 eta: 19:54:47 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7998 loss: 1.7998 2022/06/28 04:05:16 - mmengine - INFO - Epoch(train) [29][100/3757] lr: 1.000e-02 eta: 19:54:42 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4825 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8063 loss: 1.8063 2022/06/28 04:05:21 - mmengine - INFO - Epoch(train) [29][120/3757] lr: 1.000e-02 eta: 19:54:36 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1347 loss: 2.1347 2022/06/28 04:05:27 - mmengine - INFO - Epoch(train) [29][140/3757] lr: 1.000e-02 eta: 19:54:33 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1675 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1934 loss: 2.1934 2022/06/28 04:05:32 - mmengine - INFO - Epoch(train) [29][160/3757] lr: 1.000e-02 eta: 19:54:27 time: 0.190 data_time: 0.016 memory: 5150 grad_norm: 5.3477 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/06/28 04:05:37 - mmengine - INFO - Epoch(train) [29][180/3757] lr: 1.000e-02 eta: 19:54:21 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9371 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3107 loss: 2.3107 2022/06/28 04:05:43 - mmengine - INFO - Epoch(train) [29][200/3757] lr: 1.000e-02 eta: 19:54:17 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.4814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2464 loss: 2.2464 2022/06/28 04:05:49 - mmengine - INFO - Epoch(train) [29][220/3757] lr: 1.000e-02 eta: 19:54:13 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.3730 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1013 loss: 2.1013 2022/06/28 04:05:54 - mmengine - INFO - Epoch(train) [29][240/3757] lr: 1.000e-02 eta: 19:54:07 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.0780 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2881 loss: 2.2881 2022/06/28 04:06:00 - mmengine - INFO - Epoch(train) [29][260/3757] lr: 1.000e-02 eta: 19:54:02 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.6158 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1401 loss: 2.1401 2022/06/28 04:06:05 - mmengine - INFO - Epoch(train) [29][280/3757] lr: 1.000e-02 eta: 19:53:58 time: 0.234 data_time: 0.006 memory: 5150 grad_norm: 5.8329 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.1483 loss: 2.1483 2022/06/28 04:06:10 - mmengine - INFO - Epoch(train) [29][300/3757] lr: 1.000e-02 eta: 19:53:51 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.5948 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9652 loss: 1.9652 2022/06/28 04:06:16 - mmengine - INFO - Epoch(train) [29][320/3757] lr: 1.000e-02 eta: 19:53:47 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.8210 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7847 loss: 1.7847 2022/06/28 04:06:21 - mmengine - INFO - Epoch(train) [29][340/3757] lr: 1.000e-02 eta: 19:53:42 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.4028 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1561 loss: 2.1561 2022/06/28 04:06:26 - mmengine - INFO - Epoch(train) [29][360/3757] lr: 1.000e-02 eta: 19:53:35 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 6.1989 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9959 loss: 1.9959 2022/06/28 04:06:32 - mmengine - INFO - Epoch(train) [29][380/3757] lr: 1.000e-02 eta: 19:53:31 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.8059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8663 loss: 1.8663 2022/06/28 04:06:37 - mmengine - INFO - Epoch(train) [29][400/3757] lr: 1.000e-02 eta: 19:53:26 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 5.6953 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7953 loss: 1.7953 2022/06/28 04:06:42 - mmengine - INFO - Epoch(train) [29][420/3757] lr: 1.000e-02 eta: 19:53:19 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 6.2396 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8410 loss: 1.8410 2022/06/28 04:06:47 - mmengine - INFO - Epoch(train) [29][440/3757] lr: 1.000e-02 eta: 19:53:13 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6680 loss: 2.6680 2022/06/28 04:06:53 - mmengine - INFO - Epoch(train) [29][460/3757] lr: 1.000e-02 eta: 19:53:09 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.6651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7963 loss: 1.7963 2022/06/28 04:06:58 - mmengine - INFO - Epoch(train) [29][480/3757] lr: 1.000e-02 eta: 19:53:04 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1216 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9520 loss: 1.9520 2022/06/28 04:07:03 - mmengine - INFO - Epoch(train) [29][500/3757] lr: 1.000e-02 eta: 19:52:58 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.5757 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1887 loss: 2.1887 2022/06/28 04:07:08 - mmengine - INFO - Epoch(train) [29][520/3757] lr: 1.000e-02 eta: 19:52:52 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.8554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8655 loss: 1.8655 2022/06/28 04:07:13 - mmengine - INFO - Epoch(train) [29][540/3757] lr: 1.000e-02 eta: 19:52:47 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.8830 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0414 loss: 2.0414 2022/06/28 04:07:19 - mmengine - INFO - Epoch(train) [29][560/3757] lr: 1.000e-02 eta: 19:52:42 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 4.9409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9322 loss: 1.9322 2022/06/28 04:07:24 - mmengine - INFO - Epoch(train) [29][580/3757] lr: 1.000e-02 eta: 19:52:36 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4386 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0254 loss: 2.0254 2022/06/28 04:07:30 - mmengine - INFO - Epoch(train) [29][600/3757] lr: 1.000e-02 eta: 19:52:31 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.0159 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0109 loss: 2.0109 2022/06/28 04:07:35 - mmengine - INFO - Epoch(train) [29][620/3757] lr: 1.000e-02 eta: 19:52:26 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.2239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2236 loss: 2.2236 2022/06/28 04:07:40 - mmengine - INFO - Epoch(train) [29][640/3757] lr: 1.000e-02 eta: 19:52:20 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8401 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0641 loss: 2.0641 2022/06/28 04:07:46 - mmengine - INFO - Epoch(train) [29][660/3757] lr: 1.000e-02 eta: 19:52:16 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.0830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0186 loss: 2.0186 2022/06/28 04:07:51 - mmengine - INFO - Epoch(train) [29][680/3757] lr: 1.000e-02 eta: 19:52:10 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.3728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1837 loss: 2.1837 2022/06/28 04:07:56 - mmengine - INFO - Epoch(train) [29][700/3757] lr: 1.000e-02 eta: 19:52:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1490 loss: 2.1490 2022/06/28 04:08:02 - mmengine - INFO - Epoch(train) [29][720/3757] lr: 1.000e-02 eta: 19:52:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3297 loss: 2.3297 2022/06/28 04:08:07 - mmengine - INFO - Epoch(train) [29][740/3757] lr: 1.000e-02 eta: 19:51:55 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.5306 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9482 loss: 1.9482 2022/06/28 04:08:12 - mmengine - INFO - Epoch(train) [29][760/3757] lr: 1.000e-02 eta: 19:51:49 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3251 loss: 2.3251 2022/06/28 04:08:18 - mmengine - INFO - Epoch(train) [29][780/3757] lr: 1.000e-02 eta: 19:51:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5060 loss: 1.5060 2022/06/28 04:08:23 - mmengine - INFO - Epoch(train) [29][800/3757] lr: 1.000e-02 eta: 19:51:39 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 5.7242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1833 loss: 2.1833 2022/06/28 04:08:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:08:29 - mmengine - INFO - Epoch(train) [29][820/3757] lr: 1.000e-02 eta: 19:51:34 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.0685 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1741 loss: 2.1741 2022/06/28 04:08:33 - mmengine - INFO - Epoch(train) [29][840/3757] lr: 1.000e-02 eta: 19:51:28 time: 0.226 data_time: 0.006 memory: 5150 grad_norm: 5.5851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9199 loss: 1.9199 2022/06/28 04:08:39 - mmengine - INFO - Epoch(train) [29][860/3757] lr: 1.000e-02 eta: 19:51:24 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.3233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8929 loss: 1.8929 2022/06/28 04:08:45 - mmengine - INFO - Epoch(train) [29][880/3757] lr: 1.000e-02 eta: 19:51:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9782 loss: 1.9782 2022/06/28 04:08:50 - mmengine - INFO - Epoch(train) [29][900/3757] lr: 1.000e-02 eta: 19:51:13 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0331 loss: 2.0331 2022/06/28 04:08:55 - mmengine - INFO - Epoch(train) [29][920/3757] lr: 1.000e-02 eta: 19:51:09 time: 0.245 data_time: 0.008 memory: 5150 grad_norm: 5.8661 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0875 loss: 2.0875 2022/06/28 04:09:01 - mmengine - INFO - Epoch(train) [29][940/3757] lr: 1.000e-02 eta: 19:51:03 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6815 loss: 1.6815 2022/06/28 04:09:06 - mmengine - INFO - Epoch(train) [29][960/3757] lr: 1.000e-02 eta: 19:50:57 time: 0.237 data_time: 0.022 memory: 5150 grad_norm: 5.5462 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7395 loss: 1.7395 2022/06/28 04:09:11 - mmengine - INFO - Epoch(train) [29][980/3757] lr: 1.000e-02 eta: 19:50:51 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 4.9692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3082 loss: 2.3082 2022/06/28 04:09:16 - mmengine - INFO - Epoch(train) [29][1000/3757] lr: 1.000e-02 eta: 19:50:47 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.8458 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9770 loss: 1.9770 2022/06/28 04:09:21 - mmengine - INFO - Epoch(train) [29][1020/3757] lr: 1.000e-02 eta: 19:50:41 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.6331 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8663 loss: 1.8663 2022/06/28 04:09:27 - mmengine - INFO - Epoch(train) [29][1040/3757] lr: 1.000e-02 eta: 19:50:36 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4054 loss: 2.4054 2022/06/28 04:09:33 - mmengine - INFO - Epoch(train) [29][1060/3757] lr: 1.000e-02 eta: 19:50:32 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.3353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9088 loss: 1.9088 2022/06/28 04:09:38 - mmengine - INFO - Epoch(train) [29][1080/3757] lr: 1.000e-02 eta: 19:50:26 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.1343 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4530 loss: 2.4530 2022/06/28 04:09:43 - mmengine - INFO - Epoch(train) [29][1100/3757] lr: 1.000e-02 eta: 19:50:21 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.1180 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1580 loss: 2.1580 2022/06/28 04:09:49 - mmengine - INFO - Epoch(train) [29][1120/3757] lr: 1.000e-02 eta: 19:50:16 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.0811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1275 loss: 2.1275 2022/06/28 04:09:53 - mmengine - INFO - Epoch(train) [29][1140/3757] lr: 1.000e-02 eta: 19:50:09 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0453 loss: 2.0453 2022/06/28 04:09:59 - mmengine - INFO - Epoch(train) [29][1160/3757] lr: 1.000e-02 eta: 19:50:05 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0705 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0253 loss: 2.0253 2022/06/28 04:10:05 - mmengine - INFO - Epoch(train) [29][1180/3757] lr: 1.000e-02 eta: 19:50:01 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.2636 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7539 loss: 1.7539 2022/06/28 04:10:10 - mmengine - INFO - Epoch(train) [29][1200/3757] lr: 1.000e-02 eta: 19:49:54 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.3403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9641 loss: 1.9641 2022/06/28 04:10:15 - mmengine - INFO - Epoch(train) [29][1220/3757] lr: 1.000e-02 eta: 19:49:50 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.1803 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0179 loss: 2.0179 2022/06/28 04:10:20 - mmengine - INFO - Epoch(train) [29][1240/3757] lr: 1.000e-02 eta: 19:49:43 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6484 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2030 loss: 2.2030 2022/06/28 04:10:26 - mmengine - INFO - Epoch(train) [29][1260/3757] lr: 1.000e-02 eta: 19:49:39 time: 0.332 data_time: 0.007 memory: 5150 grad_norm: 5.4450 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1488 loss: 2.1488 2022/06/28 04:10:31 - mmengine - INFO - Epoch(train) [29][1280/3757] lr: 1.000e-02 eta: 19:49:33 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.1176 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0909 loss: 2.0909 2022/06/28 04:10:36 - mmengine - INFO - Epoch(train) [29][1300/3757] lr: 1.000e-02 eta: 19:49:27 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.0907 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8897 loss: 1.8897 2022/06/28 04:10:42 - mmengine - INFO - Epoch(train) [29][1320/3757] lr: 1.000e-02 eta: 19:49:23 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 6.8110 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6978 loss: 1.6978 2022/06/28 04:10:47 - mmengine - INFO - Epoch(train) [29][1340/3757] lr: 1.000e-02 eta: 19:49:17 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.4955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1130 loss: 2.1130 2022/06/28 04:10:52 - mmengine - INFO - Epoch(train) [29][1360/3757] lr: 1.000e-02 eta: 19:49:12 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3369 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4822 loss: 2.4822 2022/06/28 04:10:57 - mmengine - INFO - Epoch(train) [29][1380/3757] lr: 1.000e-02 eta: 19:49:06 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.2335 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.3627 loss: 2.3627 2022/06/28 04:11:03 - mmengine - INFO - Epoch(train) [29][1400/3757] lr: 1.000e-02 eta: 19:49:01 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2345 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9877 loss: 1.9877 2022/06/28 04:11:08 - mmengine - INFO - Epoch(train) [29][1420/3757] lr: 1.000e-02 eta: 19:48:56 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.5688 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9111 loss: 1.9111 2022/06/28 04:11:13 - mmengine - INFO - Epoch(train) [29][1440/3757] lr: 1.000e-02 eta: 19:48:50 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3833 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1581 loss: 2.1581 2022/06/28 04:11:19 - mmengine - INFO - Epoch(train) [29][1460/3757] lr: 1.000e-02 eta: 19:48:46 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.1686 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7165 loss: 1.7165 2022/06/28 04:11:24 - mmengine - INFO - Epoch(train) [29][1480/3757] lr: 1.000e-02 eta: 19:48:40 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.7435 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4432 loss: 2.4432 2022/06/28 04:11:29 - mmengine - INFO - Epoch(train) [29][1500/3757] lr: 1.000e-02 eta: 19:48:35 time: 0.199 data_time: 0.022 memory: 5150 grad_norm: 5.6183 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8212 loss: 1.8212 2022/06/28 04:11:35 - mmengine - INFO - Epoch(train) [29][1520/3757] lr: 1.000e-02 eta: 19:48:30 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.0333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1700 loss: 2.1700 2022/06/28 04:11:40 - mmengine - INFO - Epoch(train) [29][1540/3757] lr: 1.000e-02 eta: 19:48:24 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 5.9059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4398 loss: 2.4398 2022/06/28 04:11:45 - mmengine - INFO - Epoch(train) [29][1560/3757] lr: 1.000e-02 eta: 19:48:19 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 5.8851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9645 loss: 1.9645 2022/06/28 04:11:51 - mmengine - INFO - Epoch(train) [29][1580/3757] lr: 1.000e-02 eta: 19:48:14 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/06/28 04:11:56 - mmengine - INFO - Epoch(train) [29][1600/3757] lr: 1.000e-02 eta: 19:48:09 time: 0.293 data_time: 0.013 memory: 5150 grad_norm: 5.2455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9212 loss: 1.9212 2022/06/28 04:12:02 - mmengine - INFO - Epoch(train) [29][1620/3757] lr: 1.000e-02 eta: 19:48:05 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.2074 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9865 loss: 1.9865 2022/06/28 04:12:07 - mmengine - INFO - Epoch(train) [29][1640/3757] lr: 1.000e-02 eta: 19:47:59 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.0635 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1094 loss: 2.1094 2022/06/28 04:12:12 - mmengine - INFO - Epoch(train) [29][1660/3757] lr: 1.000e-02 eta: 19:47:54 time: 0.417 data_time: 0.021 memory: 5150 grad_norm: 5.8004 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2543 loss: 2.2543 2022/06/28 04:12:18 - mmengine - INFO - Epoch(train) [29][1680/3757] lr: 1.000e-02 eta: 19:47:49 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.5231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2897 loss: 2.2897 2022/06/28 04:12:23 - mmengine - INFO - Epoch(train) [29][1700/3757] lr: 1.000e-02 eta: 19:47:43 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 5.7090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4193 loss: 2.4193 2022/06/28 04:12:28 - mmengine - INFO - Epoch(train) [29][1720/3757] lr: 1.000e-02 eta: 19:47:38 time: 0.335 data_time: 0.024 memory: 5150 grad_norm: 5.8186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6851 loss: 1.6851 2022/06/28 04:12:33 - mmengine - INFO - Epoch(train) [29][1740/3757] lr: 1.000e-02 eta: 19:47:32 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6854 loss: 1.6854 2022/06/28 04:12:39 - mmengine - INFO - Epoch(train) [29][1760/3757] lr: 1.000e-02 eta: 19:47:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9197 loss: 1.9197 2022/06/28 04:12:45 - mmengine - INFO - Epoch(train) [29][1780/3757] lr: 1.000e-02 eta: 19:47:24 time: 0.611 data_time: 0.022 memory: 5150 grad_norm: 5.9072 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3311 loss: 2.3311 2022/06/28 04:12:50 - mmengine - INFO - Epoch(train) [29][1800/3757] lr: 1.000e-02 eta: 19:47:18 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.6973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9177 loss: 1.9177 2022/06/28 04:12:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:12:55 - mmengine - INFO - Epoch(train) [29][1820/3757] lr: 1.000e-02 eta: 19:47:12 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.3564 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0259 loss: 2.0259 2022/06/28 04:13:01 - mmengine - INFO - Epoch(train) [29][1840/3757] lr: 1.000e-02 eta: 19:47:07 time: 0.334 data_time: 0.019 memory: 5150 grad_norm: 6.5315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1946 loss: 2.1946 2022/06/28 04:13:07 - mmengine - INFO - Epoch(train) [29][1860/3757] lr: 1.000e-02 eta: 19:47:05 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.8866 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0415 loss: 2.0415 2022/06/28 04:13:11 - mmengine - INFO - Epoch(train) [29][1880/3757] lr: 1.000e-02 eta: 19:46:57 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 4.9343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/06/28 04:13:16 - mmengine - INFO - Epoch(train) [29][1900/3757] lr: 1.000e-02 eta: 19:46:50 time: 0.553 data_time: 0.013 memory: 5150 grad_norm: 5.4084 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1204 loss: 2.1204 2022/06/28 04:13:21 - mmengine - INFO - Epoch(train) [29][1920/3757] lr: 1.000e-02 eta: 19:46:44 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 4.7406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7219 loss: 1.7219 2022/06/28 04:13:27 - mmengine - INFO - Epoch(train) [29][1940/3757] lr: 1.000e-02 eta: 19:46:39 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 5.5079 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0225 loss: 2.0225 2022/06/28 04:13:32 - mmengine - INFO - Epoch(train) [29][1960/3757] lr: 1.000e-02 eta: 19:46:34 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.1660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8675 loss: 1.8675 2022/06/28 04:13:37 - mmengine - INFO - Epoch(train) [29][1980/3757] lr: 1.000e-02 eta: 19:46:28 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4857 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4450 loss: 2.4450 2022/06/28 04:13:43 - mmengine - INFO - Epoch(train) [29][2000/3757] lr: 1.000e-02 eta: 19:46:23 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 5.7740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6909 loss: 1.6909 2022/06/28 04:13:49 - mmengine - INFO - Epoch(train) [29][2020/3757] lr: 1.000e-02 eta: 19:46:20 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5227 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1917 loss: 2.1917 2022/06/28 04:13:54 - mmengine - INFO - Epoch(train) [29][2040/3757] lr: 1.000e-02 eta: 19:46:14 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.1210 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3636 loss: 2.3636 2022/06/28 04:13:59 - mmengine - INFO - Epoch(train) [29][2060/3757] lr: 1.000e-02 eta: 19:46:09 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 6.0929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8239 loss: 1.8239 2022/06/28 04:14:05 - mmengine - INFO - Epoch(train) [29][2080/3757] lr: 1.000e-02 eta: 19:46:05 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 5.1625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2804 loss: 2.2804 2022/06/28 04:14:09 - mmengine - INFO - Epoch(train) [29][2100/3757] lr: 1.000e-02 eta: 19:45:58 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2278 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2499 loss: 2.2499 2022/06/28 04:14:15 - mmengine - INFO - Epoch(train) [29][2120/3757] lr: 1.000e-02 eta: 19:45:53 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 5.0579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1297 loss: 2.1297 2022/06/28 04:14:21 - mmengine - INFO - Epoch(train) [29][2140/3757] lr: 1.000e-02 eta: 19:45:49 time: 0.804 data_time: 0.015 memory: 5150 grad_norm: 6.4042 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2268 loss: 2.2268 2022/06/28 04:14:25 - mmengine - INFO - Epoch(train) [29][2160/3757] lr: 1.000e-02 eta: 19:45:42 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1267 loss: 2.1267 2022/06/28 04:14:31 - mmengine - INFO - Epoch(train) [29][2180/3757] lr: 1.000e-02 eta: 19:45:37 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.5018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3429 loss: 2.3429 2022/06/28 04:14:36 - mmengine - INFO - Epoch(train) [29][2200/3757] lr: 1.000e-02 eta: 19:45:32 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.2720 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4707 loss: 2.4707 2022/06/28 04:14:42 - mmengine - INFO - Epoch(train) [29][2220/3757] lr: 1.000e-02 eta: 19:45:27 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.5475 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8335 loss: 1.8335 2022/06/28 04:14:48 - mmengine - INFO - Epoch(train) [29][2240/3757] lr: 1.000e-02 eta: 19:45:24 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.8829 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9008 loss: 1.9008 2022/06/28 04:14:53 - mmengine - INFO - Epoch(train) [29][2260/3757] lr: 1.000e-02 eta: 19:45:17 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.1402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8785 loss: 1.8785 2022/06/28 04:14:58 - mmengine - INFO - Epoch(train) [29][2280/3757] lr: 1.000e-02 eta: 19:45:11 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.0581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/06/28 04:15:03 - mmengine - INFO - Epoch(train) [29][2300/3757] lr: 1.000e-02 eta: 19:45:07 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 5.8048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4686 loss: 2.4686 2022/06/28 04:15:09 - mmengine - INFO - Epoch(train) [29][2320/3757] lr: 1.000e-02 eta: 19:45:01 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 5.4581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1974 loss: 2.1974 2022/06/28 04:15:14 - mmengine - INFO - Epoch(train) [29][2340/3757] lr: 1.000e-02 eta: 19:44:56 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 5.3643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0042 loss: 2.0042 2022/06/28 04:15:20 - mmengine - INFO - Epoch(train) [29][2360/3757] lr: 1.000e-02 eta: 19:44:51 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.5047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7617 loss: 1.7617 2022/06/28 04:15:25 - mmengine - INFO - Epoch(train) [29][2380/3757] lr: 1.000e-02 eta: 19:44:47 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.0344 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1523 loss: 2.1523 2022/06/28 04:15:30 - mmengine - INFO - Epoch(train) [29][2400/3757] lr: 1.000e-02 eta: 19:44:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7431 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0163 loss: 2.0163 2022/06/28 04:15:35 - mmengine - INFO - Epoch(train) [29][2420/3757] lr: 1.000e-02 eta: 19:44:34 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.2779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3243 loss: 2.3243 2022/06/28 04:15:41 - mmengine - INFO - Epoch(train) [29][2440/3757] lr: 1.000e-02 eta: 19:44:31 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.7299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8710 loss: 1.8710 2022/06/28 04:15:46 - mmengine - INFO - Epoch(train) [29][2460/3757] lr: 1.000e-02 eta: 19:44:25 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.3778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1764 loss: 2.1764 2022/06/28 04:15:52 - mmengine - INFO - Epoch(train) [29][2480/3757] lr: 1.000e-02 eta: 19:44:20 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.5694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9428 loss: 1.9428 2022/06/28 04:15:57 - mmengine - INFO - Epoch(train) [29][2500/3757] lr: 1.000e-02 eta: 19:44:15 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.9403 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9523 loss: 1.9523 2022/06/28 04:16:02 - mmengine - INFO - Epoch(train) [29][2520/3757] lr: 1.000e-02 eta: 19:44:09 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.7107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8617 loss: 1.8617 2022/06/28 04:16:08 - mmengine - INFO - Epoch(train) [29][2540/3757] lr: 1.000e-02 eta: 19:44:06 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8528 loss: 1.8528 2022/06/28 04:16:12 - mmengine - INFO - Epoch(train) [29][2560/3757] lr: 1.000e-02 eta: 19:43:58 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.2193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9731 loss: 1.9731 2022/06/28 04:16:17 - mmengine - INFO - Epoch(train) [29][2580/3757] lr: 1.000e-02 eta: 19:43:52 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.9065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0019 loss: 2.0019 2022/06/28 04:16:23 - mmengine - INFO - Epoch(train) [29][2600/3757] lr: 1.000e-02 eta: 19:43:47 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5139 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0512 loss: 2.0512 2022/06/28 04:16:29 - mmengine - INFO - Epoch(train) [29][2620/3757] lr: 1.000e-02 eta: 19:43:43 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.5542 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1232 loss: 2.1232 2022/06/28 04:16:34 - mmengine - INFO - Epoch(train) [29][2640/3757] lr: 1.000e-02 eta: 19:43:37 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.6585 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1774 loss: 2.1774 2022/06/28 04:16:40 - mmengine - INFO - Epoch(train) [29][2660/3757] lr: 1.000e-02 eta: 19:43:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7239 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1220 loss: 2.1220 2022/06/28 04:16:46 - mmengine - INFO - Epoch(train) [29][2680/3757] lr: 1.000e-02 eta: 19:43:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.1674 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0913 loss: 2.0913 2022/06/28 04:16:50 - mmengine - INFO - Epoch(train) [29][2700/3757] lr: 1.000e-02 eta: 19:43:23 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.8131 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2062 loss: 2.2062 2022/06/28 04:16:55 - mmengine - INFO - Epoch(train) [29][2720/3757] lr: 1.000e-02 eta: 19:43:15 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.5455 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2317 loss: 2.2317 2022/06/28 04:17:00 - mmengine - INFO - Epoch(train) [29][2740/3757] lr: 1.000e-02 eta: 19:43:10 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 4.7929 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8004 loss: 1.8004 2022/06/28 04:17:05 - mmengine - INFO - Epoch(train) [29][2760/3757] lr: 1.000e-02 eta: 19:43:04 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.0626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3064 loss: 2.3064 2022/06/28 04:17:11 - mmengine - INFO - Epoch(train) [29][2780/3757] lr: 1.000e-02 eta: 19:43:01 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.1645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9244 loss: 1.9244 2022/06/28 04:17:17 - mmengine - INFO - Epoch(train) [29][2800/3757] lr: 1.000e-02 eta: 19:42:55 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3825 loss: 2.3825 2022/06/28 04:17:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:17:22 - mmengine - INFO - Epoch(train) [29][2820/3757] lr: 1.000e-02 eta: 19:42:50 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.1272 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7865 loss: 1.7865 2022/06/28 04:17:27 - mmengine - INFO - Epoch(train) [29][2840/3757] lr: 1.000e-02 eta: 19:42:45 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.8573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3703 loss: 2.3703 2022/06/28 04:17:33 - mmengine - INFO - Epoch(train) [29][2860/3757] lr: 1.000e-02 eta: 19:42:40 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9830 loss: 1.9830 2022/06/28 04:17:38 - mmengine - INFO - Epoch(train) [29][2880/3757] lr: 1.000e-02 eta: 19:42:35 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.8827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9425 loss: 1.9425 2022/06/28 04:17:44 - mmengine - INFO - Epoch(train) [29][2900/3757] lr: 1.000e-02 eta: 19:42:32 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 5.4164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5413 loss: 1.5413 2022/06/28 04:17:50 - mmengine - INFO - Epoch(train) [29][2920/3757] lr: 1.000e-02 eta: 19:42:26 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6073 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8102 loss: 1.8102 2022/06/28 04:17:54 - mmengine - INFO - Epoch(train) [29][2940/3757] lr: 1.000e-02 eta: 19:42:18 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.4523 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0974 loss: 2.0974 2022/06/28 04:17:59 - mmengine - INFO - Epoch(train) [29][2960/3757] lr: 1.000e-02 eta: 19:42:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.1628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5994 loss: 1.5994 2022/06/28 04:18:04 - mmengine - INFO - Epoch(train) [29][2980/3757] lr: 1.000e-02 eta: 19:42:06 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.3099 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2724 loss: 2.2724 2022/06/28 04:18:10 - mmengine - INFO - Epoch(train) [29][3000/3757] lr: 1.000e-02 eta: 19:42:02 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.4943 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1775 loss: 2.1775 2022/06/28 04:18:15 - mmengine - INFO - Epoch(train) [29][3020/3757] lr: 1.000e-02 eta: 19:41:57 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.2426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8026 loss: 1.8026 2022/06/28 04:18:20 - mmengine - INFO - Epoch(train) [29][3040/3757] lr: 1.000e-02 eta: 19:41:51 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.3181 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/06/28 04:18:26 - mmengine - INFO - Epoch(train) [29][3060/3757] lr: 1.000e-02 eta: 19:41:47 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.9808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8649 loss: 1.8649 2022/06/28 04:18:32 - mmengine - INFO - Epoch(train) [29][3080/3757] lr: 1.000e-02 eta: 19:41:43 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7402 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9708 loss: 1.9708 2022/06/28 04:18:37 - mmengine - INFO - Epoch(train) [29][3100/3757] lr: 1.000e-02 eta: 19:41:37 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 5.2188 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7519 loss: 1.7519 2022/06/28 04:18:42 - mmengine - INFO - Epoch(train) [29][3120/3757] lr: 1.000e-02 eta: 19:41:33 time: 0.215 data_time: 0.047 memory: 5150 grad_norm: 5.6354 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4909 loss: 2.4909 2022/06/28 04:18:48 - mmengine - INFO - Epoch(train) [29][3140/3757] lr: 1.000e-02 eta: 19:41:28 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 6.0789 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0952 loss: 2.0952 2022/06/28 04:18:52 - mmengine - INFO - Epoch(train) [29][3160/3757] lr: 1.000e-02 eta: 19:41:21 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.7214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2669 loss: 2.2669 2022/06/28 04:18:58 - mmengine - INFO - Epoch(train) [29][3180/3757] lr: 1.000e-02 eta: 19:41:16 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.6417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1043 loss: 2.1043 2022/06/28 04:19:04 - mmengine - INFO - Epoch(train) [29][3200/3757] lr: 1.000e-02 eta: 19:41:11 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.9972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8941 loss: 1.8941 2022/06/28 04:19:09 - mmengine - INFO - Epoch(train) [29][3220/3757] lr: 1.000e-02 eta: 19:41:06 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 4.9558 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1599 loss: 2.1599 2022/06/28 04:19:14 - mmengine - INFO - Epoch(train) [29][3240/3757] lr: 1.000e-02 eta: 19:41:01 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 5.7715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0949 loss: 2.0949 2022/06/28 04:19:19 - mmengine - INFO - Epoch(train) [29][3260/3757] lr: 1.000e-02 eta: 19:40:55 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.0626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9331 loss: 1.9331 2022/06/28 04:19:25 - mmengine - INFO - Epoch(train) [29][3280/3757] lr: 1.000e-02 eta: 19:40:50 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.9640 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9638 loss: 1.9638 2022/06/28 04:19:31 - mmengine - INFO - Epoch(train) [29][3300/3757] lr: 1.000e-02 eta: 19:40:46 time: 0.199 data_time: 0.027 memory: 5150 grad_norm: 6.7389 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2446 loss: 2.2446 2022/06/28 04:19:36 - mmengine - INFO - Epoch(train) [29][3320/3757] lr: 1.000e-02 eta: 19:40:40 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.8151 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1643 loss: 2.1643 2022/06/28 04:19:41 - mmengine - INFO - Epoch(train) [29][3340/3757] lr: 1.000e-02 eta: 19:40:34 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.7169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0694 loss: 2.0694 2022/06/28 04:19:47 - mmengine - INFO - Epoch(train) [29][3360/3757] lr: 1.000e-02 eta: 19:40:30 time: 0.258 data_time: 0.022 memory: 5150 grad_norm: 4.9526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1026 loss: 2.1026 2022/06/28 04:19:52 - mmengine - INFO - Epoch(train) [29][3380/3757] lr: 1.000e-02 eta: 19:40:24 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6366 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2908 loss: 2.2908 2022/06/28 04:19:57 - mmengine - INFO - Epoch(train) [29][3400/3757] lr: 1.000e-02 eta: 19:40:20 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.2962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2345 loss: 2.2345 2022/06/28 04:20:03 - mmengine - INFO - Epoch(train) [29][3420/3757] lr: 1.000e-02 eta: 19:40:15 time: 0.197 data_time: 0.028 memory: 5150 grad_norm: 5.8501 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1799 loss: 2.1799 2022/06/28 04:20:08 - mmengine - INFO - Epoch(train) [29][3440/3757] lr: 1.000e-02 eta: 19:40:10 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 5.6353 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2608 loss: 2.2608 2022/06/28 04:20:13 - mmengine - INFO - Epoch(train) [29][3460/3757] lr: 1.000e-02 eta: 19:40:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.9055 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4564 loss: 2.4564 2022/06/28 04:20:19 - mmengine - INFO - Epoch(train) [29][3480/3757] lr: 1.000e-02 eta: 19:40:00 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 5.2018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9122 loss: 1.9122 2022/06/28 04:20:24 - mmengine - INFO - Epoch(train) [29][3500/3757] lr: 1.000e-02 eta: 19:39:53 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 5.0813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1054 loss: 2.1054 2022/06/28 04:20:29 - mmengine - INFO - Epoch(train) [29][3520/3757] lr: 1.000e-02 eta: 19:39:47 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.4747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2943 loss: 2.2943 2022/06/28 04:20:34 - mmengine - INFO - Epoch(train) [29][3540/3757] lr: 1.000e-02 eta: 19:39:41 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2793 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3401 loss: 2.3401 2022/06/28 04:20:40 - mmengine - INFO - Epoch(train) [29][3560/3757] lr: 1.000e-02 eta: 19:39:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2554 loss: 2.2554 2022/06/28 04:20:45 - mmengine - INFO - Epoch(train) [29][3580/3757] lr: 1.000e-02 eta: 19:39:32 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.8552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9874 loss: 1.9874 2022/06/28 04:20:50 - mmengine - INFO - Epoch(train) [29][3600/3757] lr: 1.000e-02 eta: 19:39:26 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.8821 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1250 loss: 2.1250 2022/06/28 04:20:55 - mmengine - INFO - Epoch(train) [29][3620/3757] lr: 1.000e-02 eta: 19:39:21 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.2337 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1563 loss: 2.1563 2022/06/28 04:21:00 - mmengine - INFO - Epoch(train) [29][3640/3757] lr: 1.000e-02 eta: 19:39:14 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.1480 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3902 loss: 2.3902 2022/06/28 04:21:06 - mmengine - INFO - Epoch(train) [29][3660/3757] lr: 1.000e-02 eta: 19:39:09 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.2436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9546 loss: 1.9546 2022/06/28 04:21:11 - mmengine - INFO - Epoch(train) [29][3680/3757] lr: 1.000e-02 eta: 19:39:03 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.0409 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1774 loss: 2.1774 2022/06/28 04:21:16 - mmengine - INFO - Epoch(train) [29][3700/3757] lr: 1.000e-02 eta: 19:38:58 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.5566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4404 loss: 2.4404 2022/06/28 04:21:21 - mmengine - INFO - Epoch(train) [29][3720/3757] lr: 1.000e-02 eta: 19:38:52 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.7452 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3665 loss: 2.3665 2022/06/28 04:21:26 - mmengine - INFO - Epoch(train) [29][3740/3757] lr: 1.000e-02 eta: 19:38:46 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.7501 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0463 loss: 2.0463 2022/06/28 04:21:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:22:03 - mmengine - INFO - Epoch(val) [29][20/310] eta: 0:05:35 time: 1.049 data_time: 0.402 memory: 9746 2022/06/28 04:22:24 - mmengine - INFO - Epoch(val) [29][40/310] eta: 0:04:45 time: 1.080 data_time: 0.424 memory: 9746 2022/06/28 04:22:48 - mmengine - INFO - Epoch(val) [29][60/310] eta: 0:04:18 time: 1.051 data_time: 0.419 memory: 9746 2022/06/28 04:23:12 - mmengine - INFO - Epoch(val) [29][80/310] eta: 0:04:52 time: 1.038 data_time: 0.384 memory: 9746 2022/06/28 04:23:35 - mmengine - INFO - Epoch(val) [29][100/310] eta: 0:04:09 time: 2.286 data_time: 1.611 memory: 9746 2022/06/28 04:23:56 - mmengine - INFO - Epoch(val) [29][120/310] eta: 0:03:17 time: 1.067 data_time: 0.423 memory: 9746 2022/06/28 04:24:20 - mmengine - INFO - Epoch(val) [29][140/310] eta: 0:03:25 time: 0.977 data_time: 0.326 memory: 9746 2022/06/28 04:24:45 - mmengine - INFO - Epoch(val) [29][160/310] eta: 0:03:18 time: 3.702 data_time: 3.011 memory: 9746 2022/06/28 04:25:08 - mmengine - INFO - Epoch(val) [29][180/310] eta: 0:02:45 time: 1.068 data_time: 0.407 memory: 9746 2022/06/28 04:25:30 - mmengine - INFO - Epoch(val) [29][200/310] eta: 0:02:09 time: 0.959 data_time: 0.331 memory: 9746 2022/06/28 04:25:52 - mmengine - INFO - Epoch(val) [29][220/310] eta: 0:01:34 time: 1.046 data_time: 0.394 memory: 9746 2022/06/28 04:26:13 - mmengine - INFO - Epoch(val) [29][240/310] eta: 0:01:13 time: 1.001 data_time: 0.336 memory: 9746 2022/06/28 04:26:36 - mmengine - INFO - Epoch(val) [29][260/310] eta: 0:00:57 time: 0.955 data_time: 0.299 memory: 9746 2022/06/28 04:27:00 - mmengine - INFO - Epoch(val) [29][280/310] eta: 0:00:34 time: 1.763 data_time: 1.101 memory: 9746 2022/06/28 04:27:20 - mmengine - INFO - Epoch(val) [29][300/310] eta: 0:00:08 time: 0.672 data_time: 0.089 memory: 9746 2022/06/28 04:27:32 - mmengine - INFO - Epoch(val) [29][310/310] acc/top1: 0.6100 acc/top5: 0.8418 acc/mean1: 0.6099 2022/06/28 04:27:41 - mmengine - INFO - Epoch(train) [30][20/3757] lr: 1.000e-02 eta: 19:38:39 time: 0.197 data_time: 0.007 memory: 9746 grad_norm: 5.2739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0101 loss: 2.0101 2022/06/28 04:27:47 - mmengine - INFO - Epoch(train) [30][40/3757] lr: 1.000e-02 eta: 19:38:35 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 5.6491 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5054 loss: 1.5054 2022/06/28 04:27:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:27:52 - mmengine - INFO - Epoch(train) [30][60/3757] lr: 1.000e-02 eta: 19:38:29 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.5589 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0140 loss: 2.0140 2022/06/28 04:27:58 - mmengine - INFO - Epoch(train) [30][80/3757] lr: 1.000e-02 eta: 19:38:25 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.5924 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/06/28 04:28:03 - mmengine - INFO - Epoch(train) [30][100/3757] lr: 1.000e-02 eta: 19:38:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7985 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0380 loss: 2.0380 2022/06/28 04:28:08 - mmengine - INFO - Epoch(train) [30][120/3757] lr: 1.000e-02 eta: 19:38:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9273 loss: 1.9273 2022/06/28 04:28:13 - mmengine - INFO - Epoch(train) [30][140/3757] lr: 1.000e-02 eta: 19:38:08 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.4286 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8666 loss: 1.8666 2022/06/28 04:28:19 - mmengine - INFO - Epoch(train) [30][160/3757] lr: 1.000e-02 eta: 19:38:05 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5585 loss: 1.5585 2022/06/28 04:28:24 - mmengine - INFO - Epoch(train) [30][180/3757] lr: 1.000e-02 eta: 19:37:58 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0501 loss: 2.0501 2022/06/28 04:28:29 - mmengine - INFO - Epoch(train) [30][200/3757] lr: 1.000e-02 eta: 19:37:53 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0588 loss: 2.0588 2022/06/28 04:28:35 - mmengine - INFO - Epoch(train) [30][220/3757] lr: 1.000e-02 eta: 19:37:49 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9290 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9630 loss: 1.9630 2022/06/28 04:28:41 - mmengine - INFO - Epoch(train) [30][240/3757] lr: 1.000e-02 eta: 19:37:44 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.6828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0892 loss: 2.0892 2022/06/28 04:28:45 - mmengine - INFO - Epoch(train) [30][260/3757] lr: 1.000e-02 eta: 19:37:37 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9595 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1779 loss: 2.1779 2022/06/28 04:28:51 - mmengine - INFO - Epoch(train) [30][280/3757] lr: 1.000e-02 eta: 19:37:33 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.4606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3058 loss: 2.3058 2022/06/28 04:28:56 - mmengine - INFO - Epoch(train) [30][300/3757] lr: 1.000e-02 eta: 19:37:26 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.6479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/06/28 04:29:02 - mmengine - INFO - Epoch(train) [30][320/3757] lr: 1.000e-02 eta: 19:37:23 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1998 loss: 2.1998 2022/06/28 04:29:08 - mmengine - INFO - Epoch(train) [30][340/3757] lr: 1.000e-02 eta: 19:37:19 time: 0.328 data_time: 0.007 memory: 5150 grad_norm: 5.6605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3442 loss: 2.3442 2022/06/28 04:29:12 - mmengine - INFO - Epoch(train) [30][360/3757] lr: 1.000e-02 eta: 19:37:11 time: 0.371 data_time: 0.007 memory: 5150 grad_norm: 6.1822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8314 loss: 1.8314 2022/06/28 04:29:18 - mmengine - INFO - Epoch(train) [30][380/3757] lr: 1.000e-02 eta: 19:37:07 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 4.8629 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5350 loss: 1.5350 2022/06/28 04:29:23 - mmengine - INFO - Epoch(train) [30][400/3757] lr: 1.000e-02 eta: 19:37:02 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.0103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0733 loss: 2.0733 2022/06/28 04:29:28 - mmengine - INFO - Epoch(train) [30][420/3757] lr: 1.000e-02 eta: 19:36:56 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0051 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2729 loss: 2.2729 2022/06/28 04:29:34 - mmengine - INFO - Epoch(train) [30][440/3757] lr: 1.000e-02 eta: 19:36:51 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5703 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1426 loss: 2.1426 2022/06/28 04:29:39 - mmengine - INFO - Epoch(train) [30][460/3757] lr: 1.000e-02 eta: 19:36:46 time: 0.219 data_time: 0.006 memory: 5150 grad_norm: 5.8637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5558 loss: 1.5558 2022/06/28 04:29:45 - mmengine - INFO - Epoch(train) [30][480/3757] lr: 1.000e-02 eta: 19:36:42 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.5190 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8213 loss: 1.8213 2022/06/28 04:29:51 - mmengine - INFO - Epoch(train) [30][500/3757] lr: 1.000e-02 eta: 19:36:37 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3252 loss: 2.3252 2022/06/28 04:29:55 - mmengine - INFO - Epoch(train) [30][520/3757] lr: 1.000e-02 eta: 19:36:31 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.5718 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2007 loss: 2.2007 2022/06/28 04:30:01 - mmengine - INFO - Epoch(train) [30][540/3757] lr: 1.000e-02 eta: 19:36:26 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8769 loss: 1.8769 2022/06/28 04:30:06 - mmengine - INFO - Epoch(train) [30][560/3757] lr: 1.000e-02 eta: 19:36:20 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9062 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2348 loss: 2.2348 2022/06/28 04:30:11 - mmengine - INFO - Epoch(train) [30][580/3757] lr: 1.000e-02 eta: 19:36:15 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7141 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3445 loss: 2.3445 2022/06/28 04:30:17 - mmengine - INFO - Epoch(train) [30][600/3757] lr: 1.000e-02 eta: 19:36:11 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.8491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5023 loss: 2.5023 2022/06/28 04:30:22 - mmengine - INFO - Epoch(train) [30][620/3757] lr: 1.000e-02 eta: 19:36:05 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8651 loss: 1.8651 2022/06/28 04:30:27 - mmengine - INFO - Epoch(train) [30][640/3757] lr: 1.000e-02 eta: 19:35:59 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 6.0821 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9882 loss: 1.9882 2022/06/28 04:30:33 - mmengine - INFO - Epoch(train) [30][660/3757] lr: 1.000e-02 eta: 19:35:54 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.2857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1418 loss: 2.1418 2022/06/28 04:30:39 - mmengine - INFO - Epoch(train) [30][680/3757] lr: 1.000e-02 eta: 19:35:50 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 6.0099 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/06/28 04:30:43 - mmengine - INFO - Epoch(train) [30][700/3757] lr: 1.000e-02 eta: 19:35:43 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.2413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0769 loss: 2.0769 2022/06/28 04:30:49 - mmengine - INFO - Epoch(train) [30][720/3757] lr: 1.000e-02 eta: 19:35:38 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6057 loss: 1.6057 2022/06/28 04:30:54 - mmengine - INFO - Epoch(train) [30][740/3757] lr: 1.000e-02 eta: 19:35:33 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9944 loss: 1.9944 2022/06/28 04:30:59 - mmengine - INFO - Epoch(train) [30][760/3757] lr: 1.000e-02 eta: 19:35:28 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3223 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8358 loss: 1.8358 2022/06/28 04:31:04 - mmengine - INFO - Epoch(train) [30][780/3757] lr: 1.000e-02 eta: 19:35:22 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4554 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1699 loss: 2.1699 2022/06/28 04:31:10 - mmengine - INFO - Epoch(train) [30][800/3757] lr: 1.000e-02 eta: 19:35:18 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 4.9847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7104 loss: 1.7104 2022/06/28 04:31:15 - mmengine - INFO - Epoch(train) [30][820/3757] lr: 1.000e-02 eta: 19:35:11 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8244 loss: 1.8244 2022/06/28 04:31:21 - mmengine - INFO - Epoch(train) [30][840/3757] lr: 1.000e-02 eta: 19:35:07 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2482 loss: 2.2482 2022/06/28 04:31:26 - mmengine - INFO - Epoch(train) [30][860/3757] lr: 1.000e-02 eta: 19:35:02 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1566 loss: 2.1566 2022/06/28 04:31:31 - mmengine - INFO - Epoch(train) [30][880/3757] lr: 1.000e-02 eta: 19:34:55 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1386 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2882 loss: 2.2882 2022/06/28 04:31:36 - mmengine - INFO - Epoch(train) [30][900/3757] lr: 1.000e-02 eta: 19:34:50 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.5337 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1355 loss: 2.1355 2022/06/28 04:31:42 - mmengine - INFO - Epoch(train) [30][920/3757] lr: 1.000e-02 eta: 19:34:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2553 loss: 2.2553 2022/06/28 04:31:47 - mmengine - INFO - Epoch(train) [30][940/3757] lr: 1.000e-02 eta: 19:34:41 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.4947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.4671 loss: 2.4671 2022/06/28 04:31:53 - mmengine - INFO - Epoch(train) [30][960/3757] lr: 1.000e-02 eta: 19:34:36 time: 0.692 data_time: 0.007 memory: 5150 grad_norm: 5.0742 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9966 loss: 1.9966 2022/06/28 04:31:58 - mmengine - INFO - Epoch(train) [30][980/3757] lr: 1.000e-02 eta: 19:34:29 time: 0.241 data_time: 0.007 memory: 5150 grad_norm: 6.4984 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0154 loss: 2.0154 2022/06/28 04:32:03 - mmengine - INFO - Epoch(train) [30][1000/3757] lr: 1.000e-02 eta: 19:34:25 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0001 loss: 2.0001 2022/06/28 04:32:09 - mmengine - INFO - Epoch(train) [30][1020/3757] lr: 1.000e-02 eta: 19:34:20 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7147 loss: 1.7147 2022/06/28 04:32:14 - mmengine - INFO - Epoch(train) [30][1040/3757] lr: 1.000e-02 eta: 19:34:15 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9096 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2405 loss: 2.2405 2022/06/28 04:32:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:32:20 - mmengine - INFO - Epoch(train) [30][1060/3757] lr: 1.000e-02 eta: 19:34:10 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.6599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1395 loss: 2.1395 2022/06/28 04:32:25 - mmengine - INFO - Epoch(train) [30][1080/3757] lr: 1.000e-02 eta: 19:34:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.1707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5160 loss: 2.5160 2022/06/28 04:32:30 - mmengine - INFO - Epoch(train) [30][1100/3757] lr: 1.000e-02 eta: 19:33:59 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.0800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8358 loss: 1.8358 2022/06/28 04:32:36 - mmengine - INFO - Epoch(train) [30][1120/3757] lr: 1.000e-02 eta: 19:33:54 time: 0.641 data_time: 0.007 memory: 5150 grad_norm: 5.4478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9691 loss: 1.9691 2022/06/28 04:32:41 - mmengine - INFO - Epoch(train) [30][1140/3757] lr: 1.000e-02 eta: 19:33:48 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.8278 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3502 loss: 2.3502 2022/06/28 04:32:46 - mmengine - INFO - Epoch(train) [30][1160/3757] lr: 1.000e-02 eta: 19:33:43 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.7903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2171 loss: 2.2171 2022/06/28 04:32:51 - mmengine - INFO - Epoch(train) [30][1180/3757] lr: 1.000e-02 eta: 19:33:38 time: 0.248 data_time: 0.008 memory: 5150 grad_norm: 5.4647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8341 loss: 1.8341 2022/06/28 04:32:57 - mmengine - INFO - Epoch(train) [30][1200/3757] lr: 1.000e-02 eta: 19:33:34 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.1059 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1991 loss: 2.1991 2022/06/28 04:33:02 - mmengine - INFO - Epoch(train) [30][1220/3757] lr: 1.000e-02 eta: 19:33:27 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4926 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8943 loss: 1.8943 2022/06/28 04:33:08 - mmengine - INFO - Epoch(train) [30][1240/3757] lr: 1.000e-02 eta: 19:33:23 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.3912 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8696 loss: 1.8696 2022/06/28 04:33:13 - mmengine - INFO - Epoch(train) [30][1260/3757] lr: 1.000e-02 eta: 19:33:17 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.8742 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9818 loss: 1.9818 2022/06/28 04:33:18 - mmengine - INFO - Epoch(train) [30][1280/3757] lr: 1.000e-02 eta: 19:33:12 time: 0.229 data_time: 0.011 memory: 5150 grad_norm: 5.7068 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5923 loss: 1.5923 2022/06/28 04:33:24 - mmengine - INFO - Epoch(train) [30][1300/3757] lr: 1.000e-02 eta: 19:33:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4149 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0980 loss: 2.0980 2022/06/28 04:33:29 - mmengine - INFO - Epoch(train) [30][1320/3757] lr: 1.000e-02 eta: 19:33:02 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 5.6162 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0095 loss: 2.0095 2022/06/28 04:33:34 - mmengine - INFO - Epoch(train) [30][1340/3757] lr: 1.000e-02 eta: 19:32:55 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0847 loss: 2.0847 2022/06/28 04:33:40 - mmengine - INFO - Epoch(train) [30][1360/3757] lr: 1.000e-02 eta: 19:32:52 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7973 loss: 1.7973 2022/06/28 04:33:45 - mmengine - INFO - Epoch(train) [30][1380/3757] lr: 1.000e-02 eta: 19:32:46 time: 0.217 data_time: 0.006 memory: 5150 grad_norm: 5.5138 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7455 loss: 1.7455 2022/06/28 04:33:51 - mmengine - INFO - Epoch(train) [30][1400/3757] lr: 1.000e-02 eta: 19:32:42 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.8039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3160 loss: 2.3160 2022/06/28 04:33:56 - mmengine - INFO - Epoch(train) [30][1420/3757] lr: 1.000e-02 eta: 19:32:36 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7786 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9104 loss: 1.9104 2022/06/28 04:34:01 - mmengine - INFO - Epoch(train) [30][1440/3757] lr: 1.000e-02 eta: 19:32:29 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 4.9266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7092 loss: 1.7092 2022/06/28 04:34:06 - mmengine - INFO - Epoch(train) [30][1460/3757] lr: 1.000e-02 eta: 19:32:24 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.4942 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/06/28 04:34:12 - mmengine - INFO - Epoch(train) [30][1480/3757] lr: 1.000e-02 eta: 19:32:19 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.7375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1450 loss: 2.1450 2022/06/28 04:34:17 - mmengine - INFO - Epoch(train) [30][1500/3757] lr: 1.000e-02 eta: 19:32:14 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.5411 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8488 loss: 1.8488 2022/06/28 04:34:22 - mmengine - INFO - Epoch(train) [30][1520/3757] lr: 1.000e-02 eta: 19:32:08 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.1271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9778 loss: 1.9778 2022/06/28 04:34:28 - mmengine - INFO - Epoch(train) [30][1540/3757] lr: 1.000e-02 eta: 19:32:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.0273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9363 loss: 1.9363 2022/06/28 04:34:33 - mmengine - INFO - Epoch(train) [30][1560/3757] lr: 1.000e-02 eta: 19:31:58 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 5.3448 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1009 loss: 2.1009 2022/06/28 04:34:38 - mmengine - INFO - Epoch(train) [30][1580/3757] lr: 1.000e-02 eta: 19:31:52 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2698 loss: 2.2698 2022/06/28 04:34:43 - mmengine - INFO - Epoch(train) [30][1600/3757] lr: 1.000e-02 eta: 19:31:47 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.2414 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1473 loss: 2.1473 2022/06/28 04:34:49 - mmengine - INFO - Epoch(train) [30][1620/3757] lr: 1.000e-02 eta: 19:31:43 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 6.1811 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9840 loss: 1.9840 2022/06/28 04:34:54 - mmengine - INFO - Epoch(train) [30][1640/3757] lr: 1.000e-02 eta: 19:31:36 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.5246 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4711 loss: 1.4711 2022/06/28 04:34:59 - mmengine - INFO - Epoch(train) [30][1660/3757] lr: 1.000e-02 eta: 19:31:31 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.2319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9882 loss: 1.9882 2022/06/28 04:35:04 - mmengine - INFO - Epoch(train) [30][1680/3757] lr: 1.000e-02 eta: 19:31:26 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 6.0472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6027 loss: 1.6027 2022/06/28 04:35:09 - mmengine - INFO - Epoch(train) [30][1700/3757] lr: 1.000e-02 eta: 19:31:19 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 5.3748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8529 loss: 1.8529 2022/06/28 04:35:15 - mmengine - INFO - Epoch(train) [30][1720/3757] lr: 1.000e-02 eta: 19:31:14 time: 0.387 data_time: 0.014 memory: 5150 grad_norm: 4.8662 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9979 loss: 1.9979 2022/06/28 04:35:20 - mmengine - INFO - Epoch(train) [30][1740/3757] lr: 1.000e-02 eta: 19:31:10 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7926 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0356 loss: 2.0356 2022/06/28 04:35:25 - mmengine - INFO - Epoch(train) [30][1760/3757] lr: 1.000e-02 eta: 19:31:04 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 4.9906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0353 loss: 2.0353 2022/06/28 04:35:31 - mmengine - INFO - Epoch(train) [30][1780/3757] lr: 1.000e-02 eta: 19:30:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.3974 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8596 loss: 1.8596 2022/06/28 04:35:37 - mmengine - INFO - Epoch(train) [30][1800/3757] lr: 1.000e-02 eta: 19:30:55 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 6.1769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.5088 loss: 2.5088 2022/06/28 04:35:42 - mmengine - INFO - Epoch(train) [30][1820/3757] lr: 1.000e-02 eta: 19:30:49 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3201 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.5017 loss: 2.5017 2022/06/28 04:35:47 - mmengine - INFO - Epoch(train) [30][1840/3757] lr: 1.000e-02 eta: 19:30:44 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.6343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2673 loss: 2.2673 2022/06/28 04:35:53 - mmengine - INFO - Epoch(train) [30][1860/3757] lr: 1.000e-02 eta: 19:30:39 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1958 loss: 2.1958 2022/06/28 04:35:58 - mmengine - INFO - Epoch(train) [30][1880/3757] lr: 1.000e-02 eta: 19:30:33 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.9026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1580 loss: 2.1580 2022/06/28 04:36:03 - mmengine - INFO - Epoch(train) [30][1900/3757] lr: 1.000e-02 eta: 19:30:27 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5730 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4687 loss: 1.4687 2022/06/28 04:36:08 - mmengine - INFO - Epoch(train) [30][1920/3757] lr: 1.000e-02 eta: 19:30:23 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 6.0814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0690 loss: 2.0690 2022/06/28 04:36:14 - mmengine - INFO - Epoch(train) [30][1940/3757] lr: 1.000e-02 eta: 19:30:18 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6443 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3595 loss: 2.3595 2022/06/28 04:36:19 - mmengine - INFO - Epoch(train) [30][1960/3757] lr: 1.000e-02 eta: 19:30:13 time: 0.222 data_time: 0.006 memory: 5150 grad_norm: 5.5998 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2860 loss: 2.2860 2022/06/28 04:36:25 - mmengine - INFO - Epoch(train) [30][1980/3757] lr: 1.000e-02 eta: 19:30:08 time: 0.704 data_time: 0.007 memory: 5150 grad_norm: 5.4284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9621 loss: 1.9621 2022/06/28 04:36:30 - mmengine - INFO - Epoch(train) [30][2000/3757] lr: 1.000e-02 eta: 19:30:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.9044 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1990 loss: 2.1990 2022/06/28 04:36:36 - mmengine - INFO - Epoch(train) [30][2020/3757] lr: 1.000e-02 eta: 19:29:57 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.5153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3623 loss: 2.3623 2022/06/28 04:36:41 - mmengine - INFO - Epoch(train) [30][2040/3757] lr: 1.000e-02 eta: 19:29:53 time: 0.893 data_time: 0.008 memory: 5150 grad_norm: 6.5512 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3160 loss: 2.3160 2022/06/28 04:36:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:36:46 - mmengine - INFO - Epoch(train) [30][2060/3757] lr: 1.000e-02 eta: 19:29:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2331 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3189 loss: 2.3189 2022/06/28 04:36:51 - mmengine - INFO - Epoch(train) [30][2080/3757] lr: 1.000e-02 eta: 19:29:41 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 5.2676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9241 loss: 1.9241 2022/06/28 04:36:57 - mmengine - INFO - Epoch(train) [30][2100/3757] lr: 1.000e-02 eta: 19:29:36 time: 0.721 data_time: 0.008 memory: 5150 grad_norm: 5.5611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8615 loss: 1.8615 2022/06/28 04:37:02 - mmengine - INFO - Epoch(train) [30][2120/3757] lr: 1.000e-02 eta: 19:29:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8304 loss: 1.8304 2022/06/28 04:37:08 - mmengine - INFO - Epoch(train) [30][2140/3757] lr: 1.000e-02 eta: 19:29:26 time: 0.257 data_time: 0.007 memory: 5150 grad_norm: 4.7002 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0651 loss: 2.0651 2022/06/28 04:37:13 - mmengine - INFO - Epoch(train) [30][2160/3757] lr: 1.000e-02 eta: 19:29:20 time: 0.299 data_time: 0.007 memory: 5150 grad_norm: 5.8112 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4169 loss: 2.4169 2022/06/28 04:37:18 - mmengine - INFO - Epoch(train) [30][2180/3757] lr: 1.000e-02 eta: 19:29:15 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8010 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7172 loss: 1.7172 2022/06/28 04:37:24 - mmengine - INFO - Epoch(train) [30][2200/3757] lr: 1.000e-02 eta: 19:29:10 time: 0.241 data_time: 0.007 memory: 5150 grad_norm: 6.0182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6919 loss: 1.6919 2022/06/28 04:37:29 - mmengine - INFO - Epoch(train) [30][2220/3757] lr: 1.000e-02 eta: 19:29:05 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3900 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1904 loss: 2.1904 2022/06/28 04:37:34 - mmengine - INFO - Epoch(train) [30][2240/3757] lr: 1.000e-02 eta: 19:29:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6912 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1235 loss: 2.1235 2022/06/28 04:37:40 - mmengine - INFO - Epoch(train) [30][2260/3757] lr: 1.000e-02 eta: 19:28:55 time: 0.256 data_time: 0.007 memory: 5150 grad_norm: 5.0301 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8076 loss: 1.8076 2022/06/28 04:37:45 - mmengine - INFO - Epoch(train) [30][2280/3757] lr: 1.000e-02 eta: 19:28:49 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 5.4434 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9988 loss: 1.9988 2022/06/28 04:37:50 - mmengine - INFO - Epoch(train) [30][2300/3757] lr: 1.000e-02 eta: 19:28:44 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.0955 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8460 loss: 1.8460 2022/06/28 04:37:56 - mmengine - INFO - Epoch(train) [30][2320/3757] lr: 1.000e-02 eta: 19:28:39 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 5.7626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8345 loss: 1.8345 2022/06/28 04:38:01 - mmengine - INFO - Epoch(train) [30][2340/3757] lr: 1.000e-02 eta: 19:28:33 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 4.8285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9738 loss: 1.9738 2022/06/28 04:38:06 - mmengine - INFO - Epoch(train) [30][2360/3757] lr: 1.000e-02 eta: 19:28:28 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0568 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3010 loss: 2.3010 2022/06/28 04:38:12 - mmengine - INFO - Epoch(train) [30][2380/3757] lr: 1.000e-02 eta: 19:28:23 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.7787 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3619 loss: 2.3619 2022/06/28 04:38:17 - mmengine - INFO - Epoch(train) [30][2400/3757] lr: 1.000e-02 eta: 19:28:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1699 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0995 loss: 2.0995 2022/06/28 04:38:22 - mmengine - INFO - Epoch(train) [30][2420/3757] lr: 1.000e-02 eta: 19:28:13 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7521 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0693 loss: 2.0693 2022/06/28 04:38:28 - mmengine - INFO - Epoch(train) [30][2440/3757] lr: 1.000e-02 eta: 19:28:08 time: 0.618 data_time: 0.007 memory: 5150 grad_norm: 5.2073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7733 loss: 1.7733 2022/06/28 04:38:33 - mmengine - INFO - Epoch(train) [30][2460/3757] lr: 1.000e-02 eta: 19:28:02 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.4996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2068 loss: 2.2068 2022/06/28 04:38:38 - mmengine - INFO - Epoch(train) [30][2480/3757] lr: 1.000e-02 eta: 19:27:56 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 5.2619 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8773 loss: 1.8773 2022/06/28 04:38:44 - mmengine - INFO - Epoch(train) [30][2500/3757] lr: 1.000e-02 eta: 19:27:52 time: 0.223 data_time: 0.006 memory: 5150 grad_norm: 6.2047 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2674 loss: 2.2674 2022/06/28 04:38:49 - mmengine - INFO - Epoch(train) [30][2520/3757] lr: 1.000e-02 eta: 19:27:46 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 5.4580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/06/28 04:38:54 - mmengine - INFO - Epoch(train) [30][2540/3757] lr: 1.000e-02 eta: 19:27:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.8282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1414 loss: 2.1414 2022/06/28 04:39:00 - mmengine - INFO - Epoch(train) [30][2560/3757] lr: 1.000e-02 eta: 19:27:36 time: 0.234 data_time: 0.008 memory: 5150 grad_norm: 5.3954 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.5667 loss: 2.5667 2022/06/28 04:39:05 - mmengine - INFO - Epoch(train) [30][2580/3757] lr: 1.000e-02 eta: 19:27:30 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1759 loss: 2.1759 2022/06/28 04:39:10 - mmengine - INFO - Epoch(train) [30][2600/3757] lr: 1.000e-02 eta: 19:27:25 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 4.7300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8317 loss: 1.8317 2022/06/28 04:39:16 - mmengine - INFO - Epoch(train) [30][2620/3757] lr: 1.000e-02 eta: 19:27:20 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 5.3489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9365 loss: 1.9365 2022/06/28 04:39:21 - mmengine - INFO - Epoch(train) [30][2640/3757] lr: 1.000e-02 eta: 19:27:14 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7730 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3634 loss: 2.3634 2022/06/28 04:39:26 - mmengine - INFO - Epoch(train) [30][2660/3757] lr: 1.000e-02 eta: 19:27:09 time: 0.186 data_time: 0.010 memory: 5150 grad_norm: 5.9795 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0920 loss: 2.0920 2022/06/28 04:39:32 - mmengine - INFO - Epoch(train) [30][2680/3757] lr: 1.000e-02 eta: 19:27:05 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.9233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7585 loss: 1.7585 2022/06/28 04:39:38 - mmengine - INFO - Epoch(train) [30][2700/3757] lr: 1.000e-02 eta: 19:27:01 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.2572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1301 loss: 2.1301 2022/06/28 04:39:42 - mmengine - INFO - Epoch(train) [30][2720/3757] lr: 1.000e-02 eta: 19:26:53 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0458 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9414 loss: 1.9414 2022/06/28 04:39:48 - mmengine - INFO - Epoch(train) [30][2740/3757] lr: 1.000e-02 eta: 19:26:49 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.8776 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8716 loss: 1.8716 2022/06/28 04:39:53 - mmengine - INFO - Epoch(train) [30][2760/3757] lr: 1.000e-02 eta: 19:26:44 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.9543 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8232 loss: 1.8232 2022/06/28 04:39:58 - mmengine - INFO - Epoch(train) [30][2780/3757] lr: 1.000e-02 eta: 19:26:38 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.2050 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1388 loss: 2.1388 2022/06/28 04:40:04 - mmengine - INFO - Epoch(train) [30][2800/3757] lr: 1.000e-02 eta: 19:26:34 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 4.9275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1835 loss: 2.1835 2022/06/28 04:40:09 - mmengine - INFO - Epoch(train) [30][2820/3757] lr: 1.000e-02 eta: 19:26:29 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1326 loss: 2.1326 2022/06/28 04:40:14 - mmengine - INFO - Epoch(train) [30][2840/3757] lr: 1.000e-02 eta: 19:26:23 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8142 loss: 1.8142 2022/06/28 04:40:20 - mmengine - INFO - Epoch(train) [30][2860/3757] lr: 1.000e-02 eta: 19:26:19 time: 0.410 data_time: 0.007 memory: 5150 grad_norm: 5.4292 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9493 loss: 1.9493 2022/06/28 04:40:25 - mmengine - INFO - Epoch(train) [30][2880/3757] lr: 1.000e-02 eta: 19:26:12 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 5.8854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9944 loss: 1.9944 2022/06/28 04:40:31 - mmengine - INFO - Epoch(train) [30][2900/3757] lr: 1.000e-02 eta: 19:26:07 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.7119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0880 loss: 2.0880 2022/06/28 04:40:36 - mmengine - INFO - Epoch(train) [30][2920/3757] lr: 1.000e-02 eta: 19:26:02 time: 0.432 data_time: 0.006 memory: 5150 grad_norm: 5.5045 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1313 loss: 2.1313 2022/06/28 04:40:41 - mmengine - INFO - Epoch(train) [30][2940/3757] lr: 1.000e-02 eta: 19:25:57 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.5074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8383 loss: 1.8383 2022/06/28 04:40:47 - mmengine - INFO - Epoch(train) [30][2960/3757] lr: 1.000e-02 eta: 19:25:52 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.5932 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7347 loss: 1.7347 2022/06/28 04:40:52 - mmengine - INFO - Epoch(train) [30][2980/3757] lr: 1.000e-02 eta: 19:25:47 time: 0.449 data_time: 0.007 memory: 5150 grad_norm: 6.5654 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3598 loss: 2.3598 2022/06/28 04:40:57 - mmengine - INFO - Epoch(train) [30][3000/3757] lr: 1.000e-02 eta: 19:25:41 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.4013 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0817 loss: 2.0817 2022/06/28 04:41:02 - mmengine - INFO - Epoch(train) [30][3020/3757] lr: 1.000e-02 eta: 19:25:35 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1401 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2773 loss: 2.2773 2022/06/28 04:41:08 - mmengine - INFO - Epoch(train) [30][3040/3757] lr: 1.000e-02 eta: 19:25:31 time: 0.503 data_time: 0.007 memory: 5150 grad_norm: 5.9360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1801 loss: 2.1801 2022/06/28 04:41:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:41:13 - mmengine - INFO - Epoch(train) [30][3060/3757] lr: 1.000e-02 eta: 19:25:24 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.5533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9817 loss: 1.9817 2022/06/28 04:41:19 - mmengine - INFO - Epoch(train) [30][3080/3757] lr: 1.000e-02 eta: 19:25:20 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 5.9000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8890 loss: 1.8890 2022/06/28 04:41:25 - mmengine - INFO - Epoch(train) [30][3100/3757] lr: 1.000e-02 eta: 19:25:17 time: 0.245 data_time: 0.007 memory: 5150 grad_norm: 5.2773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3966 loss: 2.3966 2022/06/28 04:41:30 - mmengine - INFO - Epoch(train) [30][3120/3757] lr: 1.000e-02 eta: 19:25:11 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.8916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8262 loss: 1.8262 2022/06/28 04:41:34 - mmengine - INFO - Epoch(train) [30][3140/3757] lr: 1.000e-02 eta: 19:25:04 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 6.1210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1952 loss: 2.1952 2022/06/28 04:41:40 - mmengine - INFO - Epoch(train) [30][3160/3757] lr: 1.000e-02 eta: 19:24:59 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 4.8537 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7066 loss: 1.7066 2022/06/28 04:41:45 - mmengine - INFO - Epoch(train) [30][3180/3757] lr: 1.000e-02 eta: 19:24:53 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.5661 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2356 loss: 2.2356 2022/06/28 04:41:50 - mmengine - INFO - Epoch(train) [30][3200/3757] lr: 1.000e-02 eta: 19:24:48 time: 0.217 data_time: 0.016 memory: 5150 grad_norm: 6.0777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9614 loss: 1.9614 2022/06/28 04:41:56 - mmengine - INFO - Epoch(train) [30][3220/3757] lr: 1.000e-02 eta: 19:24:43 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 4.9762 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1303 loss: 2.1303 2022/06/28 04:42:01 - mmengine - INFO - Epoch(train) [30][3240/3757] lr: 1.000e-02 eta: 19:24:37 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3891 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9227 loss: 1.9227 2022/06/28 04:42:07 - mmengine - INFO - Epoch(train) [30][3260/3757] lr: 1.000e-02 eta: 19:24:33 time: 0.224 data_time: 0.017 memory: 5150 grad_norm: 5.9128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9128 loss: 1.9128 2022/06/28 04:42:12 - mmengine - INFO - Epoch(train) [30][3280/3757] lr: 1.000e-02 eta: 19:24:28 time: 0.233 data_time: 0.006 memory: 5150 grad_norm: 4.9593 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9803 loss: 1.9803 2022/06/28 04:42:17 - mmengine - INFO - Epoch(train) [30][3300/3757] lr: 1.000e-02 eta: 19:24:22 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.7251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0424 loss: 2.0424 2022/06/28 04:42:23 - mmengine - INFO - Epoch(train) [30][3320/3757] lr: 1.000e-02 eta: 19:24:17 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 5.6368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8032 loss: 1.8032 2022/06/28 04:42:28 - mmengine - INFO - Epoch(train) [30][3340/3757] lr: 1.000e-02 eta: 19:24:13 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2729 loss: 2.2729 2022/06/28 04:42:33 - mmengine - INFO - Epoch(train) [30][3360/3757] lr: 1.000e-02 eta: 19:24:07 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.1015 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9364 loss: 1.9364 2022/06/28 04:42:39 - mmengine - INFO - Epoch(train) [30][3380/3757] lr: 1.000e-02 eta: 19:24:02 time: 0.249 data_time: 0.070 memory: 5150 grad_norm: 6.2449 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9379 loss: 1.9379 2022/06/28 04:42:44 - mmengine - INFO - Epoch(train) [30][3400/3757] lr: 1.000e-02 eta: 19:23:57 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 5.1328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8062 loss: 1.8062 2022/06/28 04:42:49 - mmengine - INFO - Epoch(train) [30][3420/3757] lr: 1.000e-02 eta: 19:23:50 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 6.1992 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7315 loss: 1.7315 2022/06/28 04:42:54 - mmengine - INFO - Epoch(train) [30][3440/3757] lr: 1.000e-02 eta: 19:23:45 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.5238 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3607 loss: 2.3607 2022/06/28 04:43:00 - mmengine - INFO - Epoch(train) [30][3460/3757] lr: 1.000e-02 eta: 19:23:41 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 5.5582 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9447 loss: 1.9447 2022/06/28 04:43:05 - mmengine - INFO - Epoch(train) [30][3480/3757] lr: 1.000e-02 eta: 19:23:34 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.2252 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1242 loss: 2.1242 2022/06/28 04:43:11 - mmengine - INFO - Epoch(train) [30][3500/3757] lr: 1.000e-02 eta: 19:23:30 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.0407 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0861 loss: 2.0861 2022/06/28 04:43:16 - mmengine - INFO - Epoch(train) [30][3520/3757] lr: 1.000e-02 eta: 19:23:24 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 5.2622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3257 loss: 2.3257 2022/06/28 04:43:21 - mmengine - INFO - Epoch(train) [30][3540/3757] lr: 1.000e-02 eta: 19:23:18 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.3615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5033 loss: 1.5033 2022/06/28 04:43:26 - mmengine - INFO - Epoch(train) [30][3560/3757] lr: 1.000e-02 eta: 19:23:14 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.4694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6931 loss: 2.6931 2022/06/28 04:43:32 - mmengine - INFO - Epoch(train) [30][3580/3757] lr: 1.000e-02 eta: 19:23:09 time: 0.227 data_time: 0.033 memory: 5150 grad_norm: 5.5516 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.2383 loss: 2.2383 2022/06/28 04:43:37 - mmengine - INFO - Epoch(train) [30][3600/3757] lr: 1.000e-02 eta: 19:23:02 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 4.4895 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8539 loss: 1.8539 2022/06/28 04:43:43 - mmengine - INFO - Epoch(train) [30][3620/3757] lr: 1.000e-02 eta: 19:22:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6626 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4079 loss: 2.4079 2022/06/28 04:43:48 - mmengine - INFO - Epoch(train) [30][3640/3757] lr: 1.000e-02 eta: 19:22:54 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.8295 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9599 loss: 1.9599 2022/06/28 04:43:53 - mmengine - INFO - Epoch(train) [30][3660/3757] lr: 1.000e-02 eta: 19:22:48 time: 0.219 data_time: 0.014 memory: 5150 grad_norm: 5.5352 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0037 loss: 2.0037 2022/06/28 04:43:59 - mmengine - INFO - Epoch(train) [30][3680/3757] lr: 1.000e-02 eta: 19:22:44 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.7413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5626 loss: 1.5626 2022/06/28 04:44:05 - mmengine - INFO - Epoch(train) [30][3700/3757] lr: 1.000e-02 eta: 19:22:39 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.1061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1754 loss: 2.1754 2022/06/28 04:44:10 - mmengine - INFO - Epoch(train) [30][3720/3757] lr: 1.000e-02 eta: 19:22:33 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 5.8220 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0661 loss: 2.0661 2022/06/28 04:44:15 - mmengine - INFO - Epoch(train) [30][3740/3757] lr: 1.000e-02 eta: 19:22:28 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 4.8554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0667 loss: 2.0667 2022/06/28 04:44:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:44:18 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/06/28 04:44:53 - mmengine - INFO - Epoch(val) [30][20/310] eta: 0:05:29 time: 1.026 data_time: 0.380 memory: 9746 2022/06/28 04:45:15 - mmengine - INFO - Epoch(val) [30][40/310] eta: 0:04:45 time: 1.039 data_time: 0.401 memory: 9746 2022/06/28 04:45:39 - mmengine - INFO - Epoch(val) [30][60/310] eta: 0:04:21 time: 1.076 data_time: 0.424 memory: 9746 2022/06/28 04:46:03 - mmengine - INFO - Epoch(val) [30][80/310] eta: 0:05:04 time: 1.122 data_time: 0.471 memory: 9746 2022/06/28 04:46:27 - mmengine - INFO - Epoch(val) [30][100/310] eta: 0:04:16 time: 2.928 data_time: 2.239 memory: 9746 2022/06/28 04:46:48 - mmengine - INFO - Epoch(val) [30][120/310] eta: 0:03:26 time: 1.059 data_time: 0.396 memory: 9746 2022/06/28 04:47:12 - mmengine - INFO - Epoch(val) [30][140/310] eta: 0:03:14 time: 0.971 data_time: 0.330 memory: 9746 2022/06/28 04:47:37 - mmengine - INFO - Epoch(val) [30][160/310] eta: 0:03:15 time: 3.588 data_time: 2.924 memory: 9746 2022/06/28 04:48:00 - mmengine - INFO - Epoch(val) [30][180/310] eta: 0:02:43 time: 1.023 data_time: 0.369 memory: 9746 2022/06/28 04:48:22 - mmengine - INFO - Epoch(val) [30][200/310] eta: 0:02:09 time: 1.120 data_time: 0.479 memory: 9746 2022/06/28 04:48:44 - mmengine - INFO - Epoch(val) [30][220/310] eta: 0:01:37 time: 1.115 data_time: 0.487 memory: 9746 2022/06/28 04:49:05 - mmengine - INFO - Epoch(val) [30][240/310] eta: 0:01:14 time: 1.110 data_time: 0.474 memory: 9746 2022/06/28 04:49:28 - mmengine - INFO - Epoch(val) [30][260/310] eta: 0:01:00 time: 0.932 data_time: 0.288 memory: 9746 2022/06/28 04:49:51 - mmengine - INFO - Epoch(val) [30][280/310] eta: 0:00:33 time: 1.651 data_time: 1.013 memory: 9746 2022/06/28 04:50:10 - mmengine - INFO - Epoch(val) [30][300/310] eta: 0:00:07 time: 0.628 data_time: 0.065 memory: 9746 2022/06/28 04:50:21 - mmengine - INFO - Epoch(val) [30][310/310] acc/top1: 0.6088 acc/top5: 0.8369 acc/mean1: 0.6087 2022/06/28 04:50:30 - mmengine - INFO - Epoch(train) [31][20/3757] lr: 1.000e-02 eta: 19:22:19 time: 0.191 data_time: 0.011 memory: 9746 grad_norm: 5.8330 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2671 loss: 2.2671 2022/06/28 04:50:36 - mmengine - INFO - Epoch(train) [31][40/3757] lr: 1.000e-02 eta: 19:22:16 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.0509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1571 loss: 2.1571 2022/06/28 04:50:41 - mmengine - INFO - Epoch(train) [31][60/3757] lr: 1.000e-02 eta: 19:22:09 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.0383 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2606 loss: 2.2606 2022/06/28 04:50:46 - mmengine - INFO - Epoch(train) [31][80/3757] lr: 1.000e-02 eta: 19:22:04 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3534 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1503 loss: 2.1503 2022/06/28 04:50:53 - mmengine - INFO - Epoch(train) [31][100/3757] lr: 1.000e-02 eta: 19:22:01 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.3027 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/06/28 04:50:57 - mmengine - INFO - Epoch(train) [31][120/3757] lr: 1.000e-02 eta: 19:21:53 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6637 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1591 loss: 2.1591 2022/06/28 04:51:03 - mmengine - INFO - Epoch(train) [31][140/3757] lr: 1.000e-02 eta: 19:21:49 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8024 loss: 1.8024 2022/06/28 04:51:08 - mmengine - INFO - Epoch(train) [31][160/3757] lr: 1.000e-02 eta: 19:21:45 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.1541 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1735 loss: 2.1735 2022/06/28 04:51:13 - mmengine - INFO - Epoch(train) [31][180/3757] lr: 1.000e-02 eta: 19:21:38 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.6479 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0562 loss: 2.0562 2022/06/28 04:51:18 - mmengine - INFO - Epoch(train) [31][200/3757] lr: 1.000e-02 eta: 19:21:33 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 4.9565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2824 loss: 2.2824 2022/06/28 04:51:24 - mmengine - INFO - Epoch(train) [31][220/3757] lr: 1.000e-02 eta: 19:21:28 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.2702 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/06/28 04:51:29 - mmengine - INFO - Epoch(train) [31][240/3757] lr: 1.000e-02 eta: 19:21:22 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.6727 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6650 loss: 1.6650 2022/06/28 04:51:35 - mmengine - INFO - Epoch(train) [31][260/3757] lr: 1.000e-02 eta: 19:21:17 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.2363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8308 loss: 1.8308 2022/06/28 04:51:40 - mmengine - INFO - Epoch(train) [31][280/3757] lr: 1.000e-02 eta: 19:21:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7741 loss: 1.7741 2022/06/28 04:51:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:51:45 - mmengine - INFO - Epoch(train) [31][300/3757] lr: 1.000e-02 eta: 19:21:07 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.0333 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7887 loss: 1.7887 2022/06/28 04:51:51 - mmengine - INFO - Epoch(train) [31][320/3757] lr: 1.000e-02 eta: 19:21:02 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.9786 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2945 loss: 2.2945 2022/06/28 04:51:57 - mmengine - INFO - Epoch(train) [31][340/3757] lr: 1.000e-02 eta: 19:20:58 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 6.3219 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9942 loss: 1.9942 2022/06/28 04:52:01 - mmengine - INFO - Epoch(train) [31][360/3757] lr: 1.000e-02 eta: 19:20:51 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.7566 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1660 loss: 2.1660 2022/06/28 04:52:07 - mmengine - INFO - Epoch(train) [31][380/3757] lr: 1.000e-02 eta: 19:20:47 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.3748 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2152 loss: 2.2152 2022/06/28 04:52:13 - mmengine - INFO - Epoch(train) [31][400/3757] lr: 1.000e-02 eta: 19:20:43 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6861 loss: 1.6861 2022/06/28 04:52:17 - mmengine - INFO - Epoch(train) [31][420/3757] lr: 1.000e-02 eta: 19:20:36 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0493 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9031 loss: 1.9031 2022/06/28 04:52:23 - mmengine - INFO - Epoch(train) [31][440/3757] lr: 1.000e-02 eta: 19:20:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2316 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9451 loss: 1.9451 2022/06/28 04:52:28 - mmengine - INFO - Epoch(train) [31][460/3757] lr: 1.000e-02 eta: 19:20:26 time: 0.350 data_time: 0.007 memory: 5150 grad_norm: 5.9013 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9784 loss: 1.9784 2022/06/28 04:52:33 - mmengine - INFO - Epoch(train) [31][480/3757] lr: 1.000e-02 eta: 19:20:20 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8414 loss: 1.8414 2022/06/28 04:52:39 - mmengine - INFO - Epoch(train) [31][500/3757] lr: 1.000e-02 eta: 19:20:15 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.3787 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1081 loss: 2.1081 2022/06/28 04:52:44 - mmengine - INFO - Epoch(train) [31][520/3757] lr: 1.000e-02 eta: 19:20:10 time: 0.487 data_time: 0.007 memory: 5150 grad_norm: 5.8604 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0763 loss: 2.0763 2022/06/28 04:52:50 - mmengine - INFO - Epoch(train) [31][540/3757] lr: 1.000e-02 eta: 19:20:04 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2864 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2073 loss: 2.2073 2022/06/28 04:52:55 - mmengine - INFO - Epoch(train) [31][560/3757] lr: 1.000e-02 eta: 19:20:00 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1419 loss: 2.1419 2022/06/28 04:53:01 - mmengine - INFO - Epoch(train) [31][580/3757] lr: 1.000e-02 eta: 19:19:55 time: 0.573 data_time: 0.010 memory: 5150 grad_norm: 5.8279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3317 loss: 2.3317 2022/06/28 04:53:06 - mmengine - INFO - Epoch(train) [31][600/3757] lr: 1.000e-02 eta: 19:19:49 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9808 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9571 loss: 1.9571 2022/06/28 04:53:11 - mmengine - INFO - Epoch(train) [31][620/3757] lr: 1.000e-02 eta: 19:19:44 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.0421 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1542 loss: 2.1542 2022/06/28 04:53:16 - mmengine - INFO - Epoch(train) [31][640/3757] lr: 1.000e-02 eta: 19:19:38 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.9183 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1486 loss: 2.1486 2022/06/28 04:53:21 - mmengine - INFO - Epoch(train) [31][660/3757] lr: 1.000e-02 eta: 19:19:33 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1342 loss: 2.1342 2022/06/28 04:53:27 - mmengine - INFO - Epoch(train) [31][680/3757] lr: 1.000e-02 eta: 19:19:27 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 4.9884 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6645 loss: 1.6645 2022/06/28 04:53:33 - mmengine - INFO - Epoch(train) [31][700/3757] lr: 1.000e-02 eta: 19:19:23 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.8988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1507 loss: 2.1507 2022/06/28 04:53:37 - mmengine - INFO - Epoch(train) [31][720/3757] lr: 1.000e-02 eta: 19:19:17 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0055 loss: 2.0055 2022/06/28 04:53:43 - mmengine - INFO - Epoch(train) [31][740/3757] lr: 1.000e-02 eta: 19:19:11 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5685 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2866 loss: 2.2866 2022/06/28 04:53:49 - mmengine - INFO - Epoch(train) [31][760/3757] lr: 1.000e-02 eta: 19:19:07 time: 0.700 data_time: 0.007 memory: 5150 grad_norm: 5.9460 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0812 loss: 2.0812 2022/06/28 04:53:53 - mmengine - INFO - Epoch(train) [31][780/3757] lr: 1.000e-02 eta: 19:19:00 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8131 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7473 loss: 1.7473 2022/06/28 04:53:59 - mmengine - INFO - Epoch(train) [31][800/3757] lr: 1.000e-02 eta: 19:18:56 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 4.3851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1486 loss: 2.1486 2022/06/28 04:54:04 - mmengine - INFO - Epoch(train) [31][820/3757] lr: 1.000e-02 eta: 19:18:51 time: 0.426 data_time: 0.007 memory: 5150 grad_norm: 5.2100 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.8867 loss: 1.8867 2022/06/28 04:54:09 - mmengine - INFO - Epoch(train) [31][840/3757] lr: 1.000e-02 eta: 19:18:45 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0961 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2973 loss: 2.2973 2022/06/28 04:54:15 - mmengine - INFO - Epoch(train) [31][860/3757] lr: 1.000e-02 eta: 19:18:41 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9573 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1916 loss: 2.1916 2022/06/28 04:54:21 - mmengine - INFO - Epoch(train) [31][880/3757] lr: 1.000e-02 eta: 19:18:36 time: 0.725 data_time: 0.006 memory: 5150 grad_norm: 5.9306 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.5461 loss: 2.5461 2022/06/28 04:54:26 - mmengine - INFO - Epoch(train) [31][900/3757] lr: 1.000e-02 eta: 19:18:30 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.5979 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0777 loss: 2.0777 2022/06/28 04:54:32 - mmengine - INFO - Epoch(train) [31][920/3757] lr: 1.000e-02 eta: 19:18:26 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.6795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7831 loss: 1.7831 2022/06/28 04:54:37 - mmengine - INFO - Epoch(train) [31][940/3757] lr: 1.000e-02 eta: 19:18:21 time: 0.653 data_time: 0.007 memory: 5150 grad_norm: 5.7643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9354 loss: 1.9354 2022/06/28 04:54:42 - mmengine - INFO - Epoch(train) [31][960/3757] lr: 1.000e-02 eta: 19:18:15 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.0080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2582 loss: 2.2582 2022/06/28 04:54:47 - mmengine - INFO - Epoch(train) [31][980/3757] lr: 1.000e-02 eta: 19:18:09 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.7377 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9857 loss: 1.9857 2022/06/28 04:54:53 - mmengine - INFO - Epoch(train) [31][1000/3757] lr: 1.000e-02 eta: 19:18:05 time: 1.148 data_time: 0.009 memory: 5150 grad_norm: 5.8666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8282 loss: 1.8282 2022/06/28 04:54:58 - mmengine - INFO - Epoch(train) [31][1020/3757] lr: 1.000e-02 eta: 19:17:58 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.1322 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/06/28 04:55:04 - mmengine - INFO - Epoch(train) [31][1040/3757] lr: 1.000e-02 eta: 19:17:55 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.3634 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1157 loss: 2.1157 2022/06/28 04:55:09 - mmengine - INFO - Epoch(train) [31][1060/3757] lr: 1.000e-02 eta: 19:17:50 time: 0.369 data_time: 0.006 memory: 5150 grad_norm: 6.3241 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9740 loss: 1.9740 2022/06/28 04:55:14 - mmengine - INFO - Epoch(train) [31][1080/3757] lr: 1.000e-02 eta: 19:17:43 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.6938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1002 loss: 2.1002 2022/06/28 04:55:20 - mmengine - INFO - Epoch(train) [31][1100/3757] lr: 1.000e-02 eta: 19:17:39 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.7324 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.7995 loss: 1.7995 2022/06/28 04:55:25 - mmengine - INFO - Epoch(train) [31][1120/3757] lr: 1.000e-02 eta: 19:17:33 time: 0.653 data_time: 0.007 memory: 5150 grad_norm: 6.6544 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0487 loss: 2.0487 2022/06/28 04:55:29 - mmengine - INFO - Epoch(train) [31][1140/3757] lr: 1.000e-02 eta: 19:17:26 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.2502 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6499 loss: 1.6499 2022/06/28 04:55:35 - mmengine - INFO - Epoch(train) [31][1160/3757] lr: 1.000e-02 eta: 19:17:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8241 loss: 1.8241 2022/06/28 04:55:41 - mmengine - INFO - Epoch(train) [31][1180/3757] lr: 1.000e-02 eta: 19:17:17 time: 0.918 data_time: 0.007 memory: 5150 grad_norm: 5.3499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9411 loss: 1.9411 2022/06/28 04:55:45 - mmengine - INFO - Epoch(train) [31][1200/3757] lr: 1.000e-02 eta: 19:17:10 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.1927 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9848 loss: 1.9848 2022/06/28 04:55:51 - mmengine - INFO - Epoch(train) [31][1220/3757] lr: 1.000e-02 eta: 19:17:06 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3447 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2420 loss: 2.2420 2022/06/28 04:55:56 - mmengine - INFO - Epoch(train) [31][1240/3757] lr: 1.000e-02 eta: 19:17:01 time: 0.264 data_time: 0.007 memory: 5150 grad_norm: 5.2512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8052 loss: 1.8052 2022/06/28 04:56:02 - mmengine - INFO - Epoch(train) [31][1260/3757] lr: 1.000e-02 eta: 19:16:56 time: 0.534 data_time: 0.020 memory: 5150 grad_norm: 6.1188 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2859 loss: 2.2859 2022/06/28 04:56:07 - mmengine - INFO - Epoch(train) [31][1280/3757] lr: 1.000e-02 eta: 19:16:50 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3802 loss: 2.3802 2022/06/28 04:56:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 04:56:13 - mmengine - INFO - Epoch(train) [31][1300/3757] lr: 1.000e-02 eta: 19:16:46 time: 0.920 data_time: 0.009 memory: 5150 grad_norm: 5.4143 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8493 loss: 1.8493 2022/06/28 04:56:18 - mmengine - INFO - Epoch(train) [31][1320/3757] lr: 1.000e-02 eta: 19:16:40 time: 0.724 data_time: 0.010 memory: 5150 grad_norm: 5.4783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6083 loss: 1.6083 2022/06/28 04:56:23 - mmengine - INFO - Epoch(train) [31][1340/3757] lr: 1.000e-02 eta: 19:16:34 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 5.1672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7948 loss: 1.7948 2022/06/28 04:56:29 - mmengine - INFO - Epoch(train) [31][1360/3757] lr: 1.000e-02 eta: 19:16:30 time: 1.103 data_time: 0.007 memory: 5150 grad_norm: 6.1568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3936 loss: 2.3936 2022/06/28 04:56:34 - mmengine - INFO - Epoch(train) [31][1380/3757] lr: 1.000e-02 eta: 19:16:24 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.9600 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9803 loss: 1.9803 2022/06/28 04:56:39 - mmengine - INFO - Epoch(train) [31][1400/3757] lr: 1.000e-02 eta: 19:16:19 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.0594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9125 loss: 1.9125 2022/06/28 04:56:45 - mmengine - INFO - Epoch(train) [31][1420/3757] lr: 1.000e-02 eta: 19:16:14 time: 1.039 data_time: 0.007 memory: 5150 grad_norm: 5.0297 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1818 loss: 2.1818 2022/06/28 04:56:49 - mmengine - INFO - Epoch(train) [31][1440/3757] lr: 1.000e-02 eta: 19:16:08 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.4162 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1667 loss: 2.1667 2022/06/28 04:56:55 - mmengine - INFO - Epoch(train) [31][1460/3757] lr: 1.000e-02 eta: 19:16:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.0277 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9283 loss: 1.9283 2022/06/28 04:57:00 - mmengine - INFO - Epoch(train) [31][1480/3757] lr: 1.000e-02 eta: 19:15:58 time: 0.391 data_time: 0.022 memory: 5150 grad_norm: 5.7781 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/06/28 04:57:05 - mmengine - INFO - Epoch(train) [31][1500/3757] lr: 1.000e-02 eta: 19:15:52 time: 0.424 data_time: 0.010 memory: 5150 grad_norm: 4.6984 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0801 loss: 2.0801 2022/06/28 04:57:11 - mmengine - INFO - Epoch(train) [31][1520/3757] lr: 1.000e-02 eta: 19:15:47 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.7496 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8000 loss: 1.8000 2022/06/28 04:57:16 - mmengine - INFO - Epoch(train) [31][1540/3757] lr: 1.000e-02 eta: 19:15:41 time: 0.501 data_time: 0.018 memory: 5150 grad_norm: 6.1834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7238 loss: 1.7238 2022/06/28 04:57:21 - mmengine - INFO - Epoch(train) [31][1560/3757] lr: 1.000e-02 eta: 19:15:36 time: 0.284 data_time: 0.007 memory: 5150 grad_norm: 5.2625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2252 loss: 2.2252 2022/06/28 04:57:27 - mmengine - INFO - Epoch(train) [31][1580/3757] lr: 1.000e-02 eta: 19:15:31 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.6457 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4089 loss: 2.4089 2022/06/28 04:57:32 - mmengine - INFO - Epoch(train) [31][1600/3757] lr: 1.000e-02 eta: 19:15:25 time: 0.804 data_time: 0.025 memory: 5150 grad_norm: 5.5750 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5047 loss: 2.5047 2022/06/28 04:57:37 - mmengine - INFO - Epoch(train) [31][1620/3757] lr: 1.000e-02 eta: 19:15:20 time: 0.272 data_time: 0.007 memory: 5150 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4693 loss: 2.4693 2022/06/28 04:57:43 - mmengine - INFO - Epoch(train) [31][1640/3757] lr: 1.000e-02 eta: 19:15:15 time: 0.224 data_time: 0.011 memory: 5150 grad_norm: 6.4800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9175 loss: 1.9175 2022/06/28 04:57:48 - mmengine - INFO - Epoch(train) [31][1660/3757] lr: 1.000e-02 eta: 19:15:10 time: 0.461 data_time: 0.013 memory: 5150 grad_norm: 5.4415 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4633 loss: 2.4633 2022/06/28 04:57:53 - mmengine - INFO - Epoch(train) [31][1680/3757] lr: 1.000e-02 eta: 19:15:04 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.1567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6665 loss: 1.6665 2022/06/28 04:57:59 - mmengine - INFO - Epoch(train) [31][1700/3757] lr: 1.000e-02 eta: 19:14:59 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.0861 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0115 loss: 2.0115 2022/06/28 04:58:04 - mmengine - INFO - Epoch(train) [31][1720/3757] lr: 1.000e-02 eta: 19:14:53 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0410 loss: 2.0410 2022/06/28 04:58:09 - mmengine - INFO - Epoch(train) [31][1740/3757] lr: 1.000e-02 eta: 19:14:48 time: 0.300 data_time: 0.009 memory: 5150 grad_norm: 5.5073 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6885 loss: 1.6885 2022/06/28 04:58:15 - mmengine - INFO - Epoch(train) [31][1760/3757] lr: 1.000e-02 eta: 19:14:43 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.6893 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9300 loss: 1.9300 2022/06/28 04:58:20 - mmengine - INFO - Epoch(train) [31][1780/3757] lr: 1.000e-02 eta: 19:14:39 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.4914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0926 loss: 2.0926 2022/06/28 04:58:26 - mmengine - INFO - Epoch(train) [31][1800/3757] lr: 1.000e-02 eta: 19:14:34 time: 0.893 data_time: 0.006 memory: 5150 grad_norm: 5.4389 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6917 loss: 1.6917 2022/06/28 04:58:31 - mmengine - INFO - Epoch(train) [31][1820/3757] lr: 1.000e-02 eta: 19:14:27 time: 0.215 data_time: 0.030 memory: 5150 grad_norm: 5.6738 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9134 loss: 1.9134 2022/06/28 04:58:36 - mmengine - INFO - Epoch(train) [31][1840/3757] lr: 1.000e-02 eta: 19:14:23 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.4697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3304 loss: 2.3304 2022/06/28 04:58:42 - mmengine - INFO - Epoch(train) [31][1860/3757] lr: 1.000e-02 eta: 19:14:18 time: 0.971 data_time: 0.007 memory: 5150 grad_norm: 5.8647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9988 loss: 1.9988 2022/06/28 04:58:47 - mmengine - INFO - Epoch(train) [31][1880/3757] lr: 1.000e-02 eta: 19:14:12 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.9794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1203 loss: 2.1203 2022/06/28 04:58:52 - mmengine - INFO - Epoch(train) [31][1900/3757] lr: 1.000e-02 eta: 19:14:07 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.9401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0262 loss: 2.0262 2022/06/28 04:58:57 - mmengine - INFO - Epoch(train) [31][1920/3757] lr: 1.000e-02 eta: 19:14:02 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.4774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1252 loss: 2.1252 2022/06/28 04:59:03 - mmengine - INFO - Epoch(train) [31][1940/3757] lr: 1.000e-02 eta: 19:13:56 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.1984 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1863 loss: 2.1863 2022/06/28 04:59:08 - mmengine - INFO - Epoch(train) [31][1960/3757] lr: 1.000e-02 eta: 19:13:52 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 6.0166 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9334 loss: 1.9334 2022/06/28 04:59:14 - mmengine - INFO - Epoch(train) [31][1980/3757] lr: 1.000e-02 eta: 19:13:47 time: 0.654 data_time: 0.011 memory: 5150 grad_norm: 5.4210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6248 loss: 1.6248 2022/06/28 04:59:19 - mmengine - INFO - Epoch(train) [31][2000/3757] lr: 1.000e-02 eta: 19:13:41 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2536 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8920 loss: 1.8920 2022/06/28 04:59:24 - mmengine - INFO - Epoch(train) [31][2020/3757] lr: 1.000e-02 eta: 19:13:36 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.8304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9048 loss: 1.9048 2022/06/28 04:59:30 - mmengine - INFO - Epoch(train) [31][2040/3757] lr: 1.000e-02 eta: 19:13:31 time: 1.055 data_time: 0.011 memory: 5150 grad_norm: 6.3732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9777 loss: 1.9777 2022/06/28 04:59:35 - mmengine - INFO - Epoch(train) [31][2060/3757] lr: 1.000e-02 eta: 19:13:25 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.4657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9561 loss: 1.9561 2022/06/28 04:59:41 - mmengine - INFO - Epoch(train) [31][2080/3757] lr: 1.000e-02 eta: 19:13:21 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.3633 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.5846 loss: 2.5846 2022/06/28 04:59:46 - mmengine - INFO - Epoch(train) [31][2100/3757] lr: 1.000e-02 eta: 19:13:15 time: 0.590 data_time: 0.010 memory: 5150 grad_norm: 6.0002 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1930 loss: 2.1930 2022/06/28 04:59:51 - mmengine - INFO - Epoch(train) [31][2120/3757] lr: 1.000e-02 eta: 19:13:09 time: 0.247 data_time: 0.028 memory: 5150 grad_norm: 5.5239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7411 loss: 1.7411 2022/06/28 04:59:56 - mmengine - INFO - Epoch(train) [31][2140/3757] lr: 1.000e-02 eta: 19:13:03 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.7632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9890 loss: 1.9890 2022/06/28 05:00:02 - mmengine - INFO - Epoch(train) [31][2160/3757] lr: 1.000e-02 eta: 19:12:59 time: 1.339 data_time: 0.011 memory: 5150 grad_norm: 6.2145 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.8603 loss: 1.8603 2022/06/28 05:00:06 - mmengine - INFO - Epoch(train) [31][2180/3757] lr: 1.000e-02 eta: 19:12:52 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.7860 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1346 loss: 2.1346 2022/06/28 05:00:12 - mmengine - INFO - Epoch(train) [31][2200/3757] lr: 1.000e-02 eta: 19:12:48 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0722 loss: 2.0722 2022/06/28 05:00:18 - mmengine - INFO - Epoch(train) [31][2220/3757] lr: 1.000e-02 eta: 19:12:43 time: 0.655 data_time: 0.011 memory: 5150 grad_norm: 4.9848 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8009 loss: 1.8009 2022/06/28 05:00:23 - mmengine - INFO - Epoch(train) [31][2240/3757] lr: 1.000e-02 eta: 19:12:38 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 5.6496 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3038 loss: 2.3038 2022/06/28 05:00:29 - mmengine - INFO - Epoch(train) [31][2260/3757] lr: 1.000e-02 eta: 19:12:33 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 4.9586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2431 loss: 2.2431 2022/06/28 05:00:34 - mmengine - INFO - Epoch(train) [31][2280/3757] lr: 1.000e-02 eta: 19:12:28 time: 0.538 data_time: 0.011 memory: 5150 grad_norm: 5.8693 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1301 loss: 2.1301 2022/06/28 05:00:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:00:39 - mmengine - INFO - Epoch(train) [31][2300/3757] lr: 1.000e-02 eta: 19:12:22 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.0536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7699 loss: 1.7699 2022/06/28 05:00:45 - mmengine - INFO - Epoch(train) [31][2320/3757] lr: 1.000e-02 eta: 19:12:17 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.0807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7758 loss: 1.7758 2022/06/28 05:00:50 - mmengine - INFO - Epoch(train) [31][2340/3757] lr: 1.000e-02 eta: 19:12:12 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.6196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/06/28 05:00:55 - mmengine - INFO - Epoch(train) [31][2360/3757] lr: 1.000e-02 eta: 19:12:06 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2375 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2957 loss: 2.2957 2022/06/28 05:01:00 - mmengine - INFO - Epoch(train) [31][2380/3757] lr: 1.000e-02 eta: 19:12:01 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.0710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0315 loss: 2.0315 2022/06/28 05:01:06 - mmengine - INFO - Epoch(train) [31][2400/3757] lr: 1.000e-02 eta: 19:11:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0128 loss: 2.0128 2022/06/28 05:01:11 - mmengine - INFO - Epoch(train) [31][2420/3757] lr: 1.000e-02 eta: 19:11:50 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.7096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9510 loss: 1.9510 2022/06/28 05:01:17 - mmengine - INFO - Epoch(train) [31][2440/3757] lr: 1.000e-02 eta: 19:11:46 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 4.6603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2668 loss: 2.2668 2022/06/28 05:01:22 - mmengine - INFO - Epoch(train) [31][2460/3757] lr: 1.000e-02 eta: 19:11:41 time: 0.768 data_time: 0.013 memory: 5150 grad_norm: 5.8598 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/06/28 05:01:27 - mmengine - INFO - Epoch(train) [31][2480/3757] lr: 1.000e-02 eta: 19:11:36 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.0639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8073 loss: 1.8073 2022/06/28 05:01:33 - mmengine - INFO - Epoch(train) [31][2500/3757] lr: 1.000e-02 eta: 19:11:30 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.8321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9856 loss: 1.9856 2022/06/28 05:01:38 - mmengine - INFO - Epoch(train) [31][2520/3757] lr: 1.000e-02 eta: 19:11:26 time: 0.864 data_time: 0.022 memory: 5150 grad_norm: 4.8335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8173 loss: 1.8173 2022/06/28 05:01:44 - mmengine - INFO - Epoch(train) [31][2540/3757] lr: 1.000e-02 eta: 19:11:20 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 5.1901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8814 loss: 1.8814 2022/06/28 05:01:49 - mmengine - INFO - Epoch(train) [31][2560/3757] lr: 1.000e-02 eta: 19:11:14 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4652 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2228 loss: 2.2228 2022/06/28 05:01:54 - mmengine - INFO - Epoch(train) [31][2580/3757] lr: 1.000e-02 eta: 19:11:10 time: 0.757 data_time: 0.010 memory: 5150 grad_norm: 5.4867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4639 loss: 2.4639 2022/06/28 05:01:59 - mmengine - INFO - Epoch(train) [31][2600/3757] lr: 1.000e-02 eta: 19:11:04 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.6931 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1653 loss: 2.1653 2022/06/28 05:02:05 - mmengine - INFO - Epoch(train) [31][2620/3757] lr: 1.000e-02 eta: 19:10:59 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.8645 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3660 loss: 2.3660 2022/06/28 05:02:11 - mmengine - INFO - Epoch(train) [31][2640/3757] lr: 1.000e-02 eta: 19:10:55 time: 0.912 data_time: 0.008 memory: 5150 grad_norm: 5.4156 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7494 loss: 1.7494 2022/06/28 05:02:15 - mmengine - INFO - Epoch(train) [31][2660/3757] lr: 1.000e-02 eta: 19:10:48 time: 0.256 data_time: 0.007 memory: 5150 grad_norm: 5.9623 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0556 loss: 2.0556 2022/06/28 05:02:21 - mmengine - INFO - Epoch(train) [31][2680/3757] lr: 1.000e-02 eta: 19:10:43 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.4751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0314 loss: 2.0314 2022/06/28 05:02:26 - mmengine - INFO - Epoch(train) [31][2700/3757] lr: 1.000e-02 eta: 19:10:37 time: 0.399 data_time: 0.007 memory: 5150 grad_norm: 5.7492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9927 loss: 1.9927 2022/06/28 05:02:31 - mmengine - INFO - Epoch(train) [31][2720/3757] lr: 1.000e-02 eta: 19:10:32 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 5.0425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1721 loss: 2.1721 2022/06/28 05:02:36 - mmengine - INFO - Epoch(train) [31][2740/3757] lr: 1.000e-02 eta: 19:10:26 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.3744 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7215 loss: 1.7215 2022/06/28 05:02:42 - mmengine - INFO - Epoch(train) [31][2760/3757] lr: 1.000e-02 eta: 19:10:22 time: 0.757 data_time: 0.006 memory: 5150 grad_norm: 5.0717 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9667 loss: 1.9667 2022/06/28 05:02:47 - mmengine - INFO - Epoch(train) [31][2780/3757] lr: 1.000e-02 eta: 19:10:17 time: 0.925 data_time: 0.019 memory: 5150 grad_norm: 5.0155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0739 loss: 2.0739 2022/06/28 05:02:52 - mmengine - INFO - Epoch(train) [31][2800/3757] lr: 1.000e-02 eta: 19:10:10 time: 0.282 data_time: 0.007 memory: 5150 grad_norm: 6.0830 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8333 loss: 1.8333 2022/06/28 05:02:58 - mmengine - INFO - Epoch(train) [31][2820/3757] lr: 1.000e-02 eta: 19:10:06 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.1692 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5913 loss: 2.5913 2022/06/28 05:03:03 - mmengine - INFO - Epoch(train) [31][2840/3757] lr: 1.000e-02 eta: 19:10:01 time: 0.478 data_time: 0.026 memory: 5150 grad_norm: 5.4151 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1900 loss: 2.1900 2022/06/28 05:03:08 - mmengine - INFO - Epoch(train) [31][2860/3757] lr: 1.000e-02 eta: 19:09:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.9628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9219 loss: 1.9219 2022/06/28 05:03:14 - mmengine - INFO - Epoch(train) [31][2880/3757] lr: 1.000e-02 eta: 19:09:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5935 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3623 loss: 2.3623 2022/06/28 05:03:19 - mmengine - INFO - Epoch(train) [31][2900/3757] lr: 1.000e-02 eta: 19:09:45 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 5.5041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0453 loss: 2.0453 2022/06/28 05:03:24 - mmengine - INFO - Epoch(train) [31][2920/3757] lr: 1.000e-02 eta: 19:09:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5208 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5425 loss: 2.5425 2022/06/28 05:03:30 - mmengine - INFO - Epoch(train) [31][2940/3757] lr: 1.000e-02 eta: 19:09:35 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.4699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5185 loss: 2.5185 2022/06/28 05:03:35 - mmengine - INFO - Epoch(train) [31][2960/3757] lr: 1.000e-02 eta: 19:09:29 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.0811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1959 loss: 2.1959 2022/06/28 05:03:41 - mmengine - INFO - Epoch(train) [31][2980/3757] lr: 1.000e-02 eta: 19:09:24 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 4.8083 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8088 loss: 1.8088 2022/06/28 05:03:46 - mmengine - INFO - Epoch(train) [31][3000/3757] lr: 1.000e-02 eta: 19:09:19 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 4.8782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8082 loss: 1.8082 2022/06/28 05:03:52 - mmengine - INFO - Epoch(train) [31][3020/3757] lr: 1.000e-02 eta: 19:09:15 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 5.9187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5917 loss: 1.5917 2022/06/28 05:03:57 - mmengine - INFO - Epoch(train) [31][3040/3757] lr: 1.000e-02 eta: 19:09:10 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0754 loss: 2.0754 2022/06/28 05:04:03 - mmengine - INFO - Epoch(train) [31][3060/3757] lr: 1.000e-02 eta: 19:09:05 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.1093 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9547 loss: 1.9547 2022/06/28 05:04:08 - mmengine - INFO - Epoch(train) [31][3080/3757] lr: 1.000e-02 eta: 19:08:59 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.1140 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5954 loss: 2.5954 2022/06/28 05:04:13 - mmengine - INFO - Epoch(train) [31][3100/3757] lr: 1.000e-02 eta: 19:08:53 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.7748 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2335 loss: 2.2335 2022/06/28 05:04:18 - mmengine - INFO - Epoch(train) [31][3120/3757] lr: 1.000e-02 eta: 19:08:48 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.6307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8376 loss: 1.8376 2022/06/28 05:04:24 - mmengine - INFO - Epoch(train) [31][3140/3757] lr: 1.000e-02 eta: 19:08:43 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.4102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7934 loss: 1.7934 2022/06/28 05:04:28 - mmengine - INFO - Epoch(train) [31][3160/3757] lr: 1.000e-02 eta: 19:08:36 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6813 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9964 loss: 1.9964 2022/06/28 05:04:34 - mmengine - INFO - Epoch(train) [31][3180/3757] lr: 1.000e-02 eta: 19:08:32 time: 0.217 data_time: 0.024 memory: 5150 grad_norm: 6.4263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9831 loss: 1.9831 2022/06/28 05:04:39 - mmengine - INFO - Epoch(train) [31][3200/3757] lr: 1.000e-02 eta: 19:08:26 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 5.1150 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3552 loss: 2.3552 2022/06/28 05:04:45 - mmengine - INFO - Epoch(train) [31][3220/3757] lr: 1.000e-02 eta: 19:08:21 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.8178 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0460 loss: 2.0460 2022/06/28 05:04:50 - mmengine - INFO - Epoch(train) [31][3240/3757] lr: 1.000e-02 eta: 19:08:16 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.5285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4551 loss: 2.4551 2022/06/28 05:04:55 - mmengine - INFO - Epoch(train) [31][3260/3757] lr: 1.000e-02 eta: 19:08:10 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 5.8089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2412 loss: 2.2412 2022/06/28 05:05:00 - mmengine - INFO - Epoch(train) [31][3280/3757] lr: 1.000e-02 eta: 19:08:05 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.4078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9273 loss: 1.9273 2022/06/28 05:05:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:05:06 - mmengine - INFO - Epoch(train) [31][3300/3757] lr: 1.000e-02 eta: 19:08:00 time: 0.194 data_time: 0.022 memory: 5150 grad_norm: 5.9020 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8572 loss: 1.8572 2022/06/28 05:05:11 - mmengine - INFO - Epoch(train) [31][3320/3757] lr: 1.000e-02 eta: 19:07:54 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9169 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0380 loss: 2.0380 2022/06/28 05:05:17 - mmengine - INFO - Epoch(train) [31][3340/3757] lr: 1.000e-02 eta: 19:07:50 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 4.7795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0370 loss: 2.0370 2022/06/28 05:05:23 - mmengine - INFO - Epoch(train) [31][3360/3757] lr: 1.000e-02 eta: 19:07:45 time: 0.203 data_time: 0.020 memory: 5150 grad_norm: 5.5173 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2261 loss: 2.2261 2022/06/28 05:05:27 - mmengine - INFO - Epoch(train) [31][3380/3757] lr: 1.000e-02 eta: 19:07:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.2071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0192 loss: 2.0192 2022/06/28 05:05:33 - mmengine - INFO - Epoch(train) [31][3400/3757] lr: 1.000e-02 eta: 19:07:35 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.5434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5566 loss: 1.5566 2022/06/28 05:05:39 - mmengine - INFO - Epoch(train) [31][3420/3757] lr: 1.000e-02 eta: 19:07:30 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.7850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8049 loss: 1.8049 2022/06/28 05:05:44 - mmengine - INFO - Epoch(train) [31][3440/3757] lr: 1.000e-02 eta: 19:07:25 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7029 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4955 loss: 2.4955 2022/06/28 05:05:49 - mmengine - INFO - Epoch(train) [31][3460/3757] lr: 1.000e-02 eta: 19:07:19 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9376 loss: 1.9376 2022/06/28 05:05:54 - mmengine - INFO - Epoch(train) [31][3480/3757] lr: 1.000e-02 eta: 19:07:13 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.9333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7145 loss: 1.7145 2022/06/28 05:06:00 - mmengine - INFO - Epoch(train) [31][3500/3757] lr: 1.000e-02 eta: 19:07:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.1091 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1883 loss: 2.1883 2022/06/28 05:06:05 - mmengine - INFO - Epoch(train) [31][3520/3757] lr: 1.000e-02 eta: 19:07:03 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.8971 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1681 loss: 2.1681 2022/06/28 05:06:11 - mmengine - INFO - Epoch(train) [31][3540/3757] lr: 1.000e-02 eta: 19:06:58 time: 0.194 data_time: 0.022 memory: 5150 grad_norm: 5.0616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2512 loss: 1.2512 2022/06/28 05:06:16 - mmengine - INFO - Epoch(train) [31][3560/3757] lr: 1.000e-02 eta: 19:06:53 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7882 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 2.5032 loss: 2.5032 2022/06/28 05:06:22 - mmengine - INFO - Epoch(train) [31][3580/3757] lr: 1.000e-02 eta: 19:06:48 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.8177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8221 loss: 1.8221 2022/06/28 05:06:27 - mmengine - INFO - Epoch(train) [31][3600/3757] lr: 1.000e-02 eta: 19:06:42 time: 0.186 data_time: 0.017 memory: 5150 grad_norm: 6.4359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0003 loss: 2.0003 2022/06/28 05:06:33 - mmengine - INFO - Epoch(train) [31][3620/3757] lr: 1.000e-02 eta: 19:06:39 time: 0.192 data_time: 0.014 memory: 5150 grad_norm: 5.0905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8601 loss: 1.8601 2022/06/28 05:06:37 - mmengine - INFO - Epoch(train) [31][3640/3757] lr: 1.000e-02 eta: 19:06:32 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.8784 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3504 loss: 2.3504 2022/06/28 05:06:42 - mmengine - INFO - Epoch(train) [31][3660/3757] lr: 1.000e-02 eta: 19:06:25 time: 0.197 data_time: 0.023 memory: 5150 grad_norm: 5.9813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0841 loss: 2.0841 2022/06/28 05:06:48 - mmengine - INFO - Epoch(train) [31][3680/3757] lr: 1.000e-02 eta: 19:06:21 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.8426 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7918 loss: 1.7918 2022/06/28 05:06:53 - mmengine - INFO - Epoch(train) [31][3700/3757] lr: 1.000e-02 eta: 19:06:16 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.8416 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9885 loss: 1.9885 2022/06/28 05:06:58 - mmengine - INFO - Epoch(train) [31][3720/3757] lr: 1.000e-02 eta: 19:06:10 time: 0.199 data_time: 0.017 memory: 5150 grad_norm: 4.7144 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5618 loss: 2.5618 2022/06/28 05:07:04 - mmengine - INFO - Epoch(train) [31][3740/3757] lr: 1.000e-02 eta: 19:06:06 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2605 loss: 2.2605 2022/06/28 05:07:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:07:40 - mmengine - INFO - Epoch(val) [31][20/310] eta: 0:05:15 time: 1.034 data_time: 0.390 memory: 9746 2022/06/28 05:08:03 - mmengine - INFO - Epoch(val) [31][40/310] eta: 0:05:00 time: 1.393 data_time: 0.748 memory: 9746 2022/06/28 05:08:26 - mmengine - INFO - Epoch(val) [31][60/310] eta: 0:04:20 time: 1.138 data_time: 0.493 memory: 9746 2022/06/28 05:08:50 - mmengine - INFO - Epoch(val) [31][80/310] eta: 0:05:09 time: 1.085 data_time: 0.433 memory: 9746 2022/06/28 05:09:13 - mmengine - INFO - Epoch(val) [31][100/310] eta: 0:04:03 time: 2.275 data_time: 1.613 memory: 9746 2022/06/28 05:09:34 - mmengine - INFO - Epoch(val) [31][120/310] eta: 0:03:16 time: 1.137 data_time: 0.481 memory: 9746 2022/06/28 05:09:58 - mmengine - INFO - Epoch(val) [31][140/310] eta: 0:03:21 time: 1.011 data_time: 0.383 memory: 9746 2022/06/28 05:10:24 - mmengine - INFO - Epoch(val) [31][160/310] eta: 0:03:23 time: 4.173 data_time: 3.491 memory: 9746 2022/06/28 05:10:46 - mmengine - INFO - Epoch(val) [31][180/310] eta: 0:02:42 time: 0.995 data_time: 0.350 memory: 9746 2022/06/28 05:11:09 - mmengine - INFO - Epoch(val) [31][200/310] eta: 0:02:09 time: 1.009 data_time: 0.368 memory: 9746 2022/06/28 05:11:30 - mmengine - INFO - Epoch(val) [31][220/310] eta: 0:01:34 time: 1.146 data_time: 0.515 memory: 9746 2022/06/28 05:11:52 - mmengine - INFO - Epoch(val) [31][240/310] eta: 0:01:19 time: 1.214 data_time: 0.347 memory: 9746 2022/06/28 05:12:15 - mmengine - INFO - Epoch(val) [31][260/310] eta: 0:01:01 time: 0.981 data_time: 0.362 memory: 9746 2022/06/28 05:12:38 - mmengine - INFO - Epoch(val) [31][280/310] eta: 0:00:33 time: 1.511 data_time: 0.882 memory: 9746 2022/06/28 05:12:57 - mmengine - INFO - Epoch(val) [31][300/310] eta: 0:00:08 time: 0.647 data_time: 0.077 memory: 9746 2022/06/28 05:13:10 - mmengine - INFO - Epoch(val) [31][310/310] acc/top1: 0.6118 acc/top5: 0.8394 acc/mean1: 0.6116 2022/06/28 05:13:18 - mmengine - INFO - Epoch(train) [32][20/3757] lr: 1.000e-02 eta: 19:05:57 time: 0.196 data_time: 0.010 memory: 9746 grad_norm: 5.7910 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1354 loss: 2.1354 2022/06/28 05:13:24 - mmengine - INFO - Epoch(train) [32][40/3757] lr: 1.000e-02 eta: 19:05:52 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5422 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.5226 loss: 1.5226 2022/06/28 05:13:28 - mmengine - INFO - Epoch(train) [32][60/3757] lr: 1.000e-02 eta: 19:05:46 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2720 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0200 loss: 2.0200 2022/06/28 05:13:34 - mmengine - INFO - Epoch(train) [32][80/3757] lr: 1.000e-02 eta: 19:05:42 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3245 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0354 loss: 2.0354 2022/06/28 05:13:40 - mmengine - INFO - Epoch(train) [32][100/3757] lr: 1.000e-02 eta: 19:05:38 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8346 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1237 loss: 2.1237 2022/06/28 05:13:45 - mmengine - INFO - Epoch(train) [32][120/3757] lr: 1.000e-02 eta: 19:05:32 time: 0.194 data_time: 0.006 memory: 5150 grad_norm: 6.5982 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3557 loss: 2.3557 2022/06/28 05:13:51 - mmengine - INFO - Epoch(train) [32][140/3757] lr: 1.000e-02 eta: 19:05:27 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0156 loss: 2.0156 2022/06/28 05:13:57 - mmengine - INFO - Epoch(train) [32][160/3757] lr: 1.000e-02 eta: 19:05:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.4621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9497 loss: 1.9497 2022/06/28 05:14:01 - mmengine - INFO - Epoch(train) [32][180/3757] lr: 1.000e-02 eta: 19:05:16 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7074 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4306 loss: 2.4306 2022/06/28 05:14:07 - mmengine - INFO - Epoch(train) [32][200/3757] lr: 1.000e-02 eta: 19:05:11 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.3961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8037 loss: 1.8037 2022/06/28 05:14:12 - mmengine - INFO - Epoch(train) [32][220/3757] lr: 1.000e-02 eta: 19:05:06 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.4169 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9592 loss: 1.9592 2022/06/28 05:14:17 - mmengine - INFO - Epoch(train) [32][240/3757] lr: 1.000e-02 eta: 19:05:00 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.5374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8604 loss: 1.8604 2022/06/28 05:14:23 - mmengine - INFO - Epoch(train) [32][260/3757] lr: 1.000e-02 eta: 19:04:56 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.3617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3231 loss: 2.3231 2022/06/28 05:14:28 - mmengine - INFO - Epoch(train) [32][280/3757] lr: 1.000e-02 eta: 19:04:50 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8567 loss: 1.8567 2022/06/28 05:14:33 - mmengine - INFO - Epoch(train) [32][300/3757] lr: 1.000e-02 eta: 19:04:45 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.2518 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0270 loss: 2.0270 2022/06/28 05:14:39 - mmengine - INFO - Epoch(train) [32][320/3757] lr: 1.000e-02 eta: 19:04:41 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 5.9380 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0347 loss: 2.0347 2022/06/28 05:14:44 - mmengine - INFO - Epoch(train) [32][340/3757] lr: 1.000e-02 eta: 19:04:35 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.1080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3831 loss: 2.3831 2022/06/28 05:14:50 - mmengine - INFO - Epoch(train) [32][360/3757] lr: 1.000e-02 eta: 19:04:30 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 5.8267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9157 loss: 1.9157 2022/06/28 05:14:55 - mmengine - INFO - Epoch(train) [32][380/3757] lr: 1.000e-02 eta: 19:04:25 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.0732 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3398 loss: 2.3398 2022/06/28 05:15:01 - mmengine - INFO - Epoch(train) [32][400/3757] lr: 1.000e-02 eta: 19:04:20 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.6168 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5005 loss: 2.5005 2022/06/28 05:15:06 - mmengine - INFO - Epoch(train) [32][420/3757] lr: 1.000e-02 eta: 19:04:15 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 5.7263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2056 loss: 2.2056 2022/06/28 05:15:11 - mmengine - INFO - Epoch(train) [32][440/3757] lr: 1.000e-02 eta: 19:04:09 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.0088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8237 loss: 1.8237 2022/06/28 05:15:17 - mmengine - INFO - Epoch(train) [32][460/3757] lr: 1.000e-02 eta: 19:04:05 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.3187 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0487 loss: 2.0487 2022/06/28 05:15:22 - mmengine - INFO - Epoch(train) [32][480/3757] lr: 1.000e-02 eta: 19:03:59 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.9550 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0766 loss: 2.0766 2022/06/28 05:15:28 - mmengine - INFO - Epoch(train) [32][500/3757] lr: 1.000e-02 eta: 19:03:55 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 5.7717 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8575 loss: 1.8575 2022/06/28 05:15:33 - mmengine - INFO - Epoch(train) [32][520/3757] lr: 1.000e-02 eta: 19:03:50 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.6491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8156 loss: 1.8156 2022/06/28 05:15:37 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:15:38 - mmengine - INFO - Epoch(train) [32][540/3757] lr: 1.000e-02 eta: 19:03:44 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.0929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1663 loss: 2.1663 2022/06/28 05:15:44 - mmengine - INFO - Epoch(train) [32][560/3757] lr: 1.000e-02 eta: 19:03:40 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0860 loss: 2.0860 2022/06/28 05:15:49 - mmengine - INFO - Epoch(train) [32][580/3757] lr: 1.000e-02 eta: 19:03:34 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.7595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0239 loss: 2.0239 2022/06/28 05:15:55 - mmengine - INFO - Epoch(train) [32][600/3757] lr: 1.000e-02 eta: 19:03:29 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 5.6678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0121 loss: 2.0121 2022/06/28 05:15:59 - mmengine - INFO - Epoch(train) [32][620/3757] lr: 1.000e-02 eta: 19:03:22 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.3163 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3781 loss: 2.3781 2022/06/28 05:16:05 - mmengine - INFO - Epoch(train) [32][640/3757] lr: 1.000e-02 eta: 19:03:16 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.3814 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3590 loss: 2.3590 2022/06/28 05:16:09 - mmengine - INFO - Epoch(train) [32][660/3757] lr: 1.000e-02 eta: 19:03:10 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/06/28 05:16:16 - mmengine - INFO - Epoch(train) [32][680/3757] lr: 1.000e-02 eta: 19:03:07 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.0388 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.3274 loss: 2.3274 2022/06/28 05:16:22 - mmengine - INFO - Epoch(train) [32][700/3757] lr: 1.000e-02 eta: 19:03:03 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 5.1276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0142 loss: 2.0142 2022/06/28 05:16:26 - mmengine - INFO - Epoch(train) [32][720/3757] lr: 1.000e-02 eta: 19:02:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8615 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.1796 loss: 2.1796 2022/06/28 05:16:32 - mmengine - INFO - Epoch(train) [32][740/3757] lr: 1.000e-02 eta: 19:02:51 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7052 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0915 loss: 2.0915 2022/06/28 05:16:38 - mmengine - INFO - Epoch(train) [32][760/3757] lr: 1.000e-02 eta: 19:02:47 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.8949 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1429 loss: 2.1429 2022/06/28 05:16:43 - mmengine - INFO - Epoch(train) [32][780/3757] lr: 1.000e-02 eta: 19:02:41 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3194 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8128 loss: 1.8128 2022/06/28 05:16:48 - mmengine - INFO - Epoch(train) [32][800/3757] lr: 1.000e-02 eta: 19:02:36 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.2108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9473 loss: 1.9473 2022/06/28 05:16:54 - mmengine - INFO - Epoch(train) [32][820/3757] lr: 1.000e-02 eta: 19:02:31 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.9357 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0541 loss: 2.0541 2022/06/28 05:16:58 - mmengine - INFO - Epoch(train) [32][840/3757] lr: 1.000e-02 eta: 19:02:25 time: 0.222 data_time: 0.047 memory: 5150 grad_norm: 6.7695 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0502 loss: 2.0502 2022/06/28 05:17:04 - mmengine - INFO - Epoch(train) [32][860/3757] lr: 1.000e-02 eta: 19:02:20 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6119 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1070 loss: 2.1070 2022/06/28 05:17:09 - mmengine - INFO - Epoch(train) [32][880/3757] lr: 1.000e-02 eta: 19:02:15 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1954 loss: 2.1954 2022/06/28 05:17:15 - mmengine - INFO - Epoch(train) [32][900/3757] lr: 1.000e-02 eta: 19:02:10 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.4704 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/06/28 05:17:20 - mmengine - INFO - Epoch(train) [32][920/3757] lr: 1.000e-02 eta: 19:02:04 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 5.2050 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3656 loss: 2.3656 2022/06/28 05:17:26 - mmengine - INFO - Epoch(train) [32][940/3757] lr: 1.000e-02 eta: 19:02:00 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1494 loss: 2.1494 2022/06/28 05:17:30 - mmengine - INFO - Epoch(train) [32][960/3757] lr: 1.000e-02 eta: 19:01:53 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.5251 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7362 loss: 1.7362 2022/06/28 05:17:36 - mmengine - INFO - Epoch(train) [32][980/3757] lr: 1.000e-02 eta: 19:01:49 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.3108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1824 loss: 2.1824 2022/06/28 05:17:41 - mmengine - INFO - Epoch(train) [32][1000/3757] lr: 1.000e-02 eta: 19:01:43 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.7387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/06/28 05:17:47 - mmengine - INFO - Epoch(train) [32][1020/3757] lr: 1.000e-02 eta: 19:01:38 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.5339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9075 loss: 1.9075 2022/06/28 05:17:52 - mmengine - INFO - Epoch(train) [32][1040/3757] lr: 1.000e-02 eta: 19:01:32 time: 0.199 data_time: 0.023 memory: 5150 grad_norm: 5.4188 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1036 loss: 2.1036 2022/06/28 05:17:57 - mmengine - INFO - Epoch(train) [32][1060/3757] lr: 1.000e-02 eta: 19:01:28 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.9419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3080 loss: 2.3080 2022/06/28 05:18:02 - mmengine - INFO - Epoch(train) [32][1080/3757] lr: 1.000e-02 eta: 19:01:21 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 5.5300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9034 loss: 1.9034 2022/06/28 05:18:07 - mmengine - INFO - Epoch(train) [32][1100/3757] lr: 1.000e-02 eta: 19:01:15 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 4.5754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7431 loss: 1.7431 2022/06/28 05:18:13 - mmengine - INFO - Epoch(train) [32][1120/3757] lr: 1.000e-02 eta: 19:01:12 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.3279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0971 loss: 2.0971 2022/06/28 05:18:18 - mmengine - INFO - Epoch(train) [32][1140/3757] lr: 1.000e-02 eta: 19:01:04 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.7275 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9820 loss: 1.9820 2022/06/28 05:18:23 - mmengine - INFO - Epoch(train) [32][1160/3757] lr: 1.000e-02 eta: 19:01:00 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 5.4172 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1796 loss: 2.1796 2022/06/28 05:18:29 - mmengine - INFO - Epoch(train) [32][1180/3757] lr: 1.000e-02 eta: 19:00:54 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 4.8737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0940 loss: 2.0940 2022/06/28 05:18:34 - mmengine - INFO - Epoch(train) [32][1200/3757] lr: 1.000e-02 eta: 19:00:48 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.0315 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8522 loss: 1.8522 2022/06/28 05:18:39 - mmengine - INFO - Epoch(train) [32][1220/3757] lr: 1.000e-02 eta: 19:00:44 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 5.7440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0991 loss: 2.0991 2022/06/28 05:18:45 - mmengine - INFO - Epoch(train) [32][1240/3757] lr: 1.000e-02 eta: 19:00:39 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.6993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8769 loss: 1.8769 2022/06/28 05:18:50 - mmengine - INFO - Epoch(train) [32][1260/3757] lr: 1.000e-02 eta: 19:00:33 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 5.5723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9788 loss: 1.9788 2022/06/28 05:18:55 - mmengine - INFO - Epoch(train) [32][1280/3757] lr: 1.000e-02 eta: 19:00:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2378 loss: 2.2378 2022/06/28 05:19:01 - mmengine - INFO - Epoch(train) [32][1300/3757] lr: 1.000e-02 eta: 19:00:24 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.4575 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4738 loss: 2.4738 2022/06/28 05:19:05 - mmengine - INFO - Epoch(train) [32][1320/3757] lr: 1.000e-02 eta: 19:00:16 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.7747 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7695 loss: 1.7695 2022/06/28 05:19:11 - mmengine - INFO - Epoch(train) [32][1340/3757] lr: 1.000e-02 eta: 19:00:11 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.4113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0450 loss: 2.0450 2022/06/28 05:19:16 - mmengine - INFO - Epoch(train) [32][1360/3757] lr: 1.000e-02 eta: 19:00:06 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.2887 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/06/28 05:19:21 - mmengine - INFO - Epoch(train) [32][1380/3757] lr: 1.000e-02 eta: 19:00:00 time: 0.209 data_time: 0.027 memory: 5150 grad_norm: 5.6045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4409 loss: 2.4409 2022/06/28 05:19:26 - mmengine - INFO - Epoch(train) [32][1400/3757] lr: 1.000e-02 eta: 18:59:54 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.1442 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2733 loss: 2.2733 2022/06/28 05:19:32 - mmengine - INFO - Epoch(train) [32][1420/3757] lr: 1.000e-02 eta: 18:59:50 time: 0.199 data_time: 0.017 memory: 5150 grad_norm: 5.1411 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1032 loss: 2.1032 2022/06/28 05:19:37 - mmengine - INFO - Epoch(train) [32][1440/3757] lr: 1.000e-02 eta: 18:59:44 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.4673 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2775 loss: 2.2775 2022/06/28 05:19:43 - mmengine - INFO - Epoch(train) [32][1460/3757] lr: 1.000e-02 eta: 18:59:40 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0986 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6268 loss: 1.6268 2022/06/28 05:19:48 - mmengine - INFO - Epoch(train) [32][1480/3757] lr: 1.000e-02 eta: 18:59:34 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.8150 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3204 loss: 2.3204 2022/06/28 05:19:53 - mmengine - INFO - Epoch(train) [32][1500/3757] lr: 1.000e-02 eta: 18:59:29 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.5854 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0568 loss: 2.0568 2022/06/28 05:19:59 - mmengine - INFO - Epoch(train) [32][1520/3757] lr: 1.000e-02 eta: 18:59:24 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4416 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2253 loss: 2.2253 2022/06/28 05:20:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:20:04 - mmengine - INFO - Epoch(train) [32][1540/3757] lr: 1.000e-02 eta: 18:59:18 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.0429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2451 loss: 2.2451 2022/06/28 05:20:09 - mmengine - INFO - Epoch(train) [32][1560/3757] lr: 1.000e-02 eta: 18:59:13 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0279 loss: 2.0279 2022/06/28 05:20:15 - mmengine - INFO - Epoch(train) [32][1580/3757] lr: 1.000e-02 eta: 18:59:09 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.7517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1358 loss: 2.1358 2022/06/28 05:20:20 - mmengine - INFO - Epoch(train) [32][1600/3757] lr: 1.000e-02 eta: 18:59:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4088 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4116 loss: 2.4116 2022/06/28 05:20:26 - mmengine - INFO - Epoch(train) [32][1620/3757] lr: 1.000e-02 eta: 18:58:58 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.6111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6302 loss: 1.6302 2022/06/28 05:20:31 - mmengine - INFO - Epoch(train) [32][1640/3757] lr: 1.000e-02 eta: 18:58:53 time: 0.217 data_time: 0.006 memory: 5150 grad_norm: 5.0630 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/06/28 05:20:36 - mmengine - INFO - Epoch(train) [32][1660/3757] lr: 1.000e-02 eta: 18:58:47 time: 0.194 data_time: 0.018 memory: 5150 grad_norm: 5.1703 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1345 loss: 2.1345 2022/06/28 05:20:42 - mmengine - INFO - Epoch(train) [32][1680/3757] lr: 1.000e-02 eta: 18:58:42 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.3257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4569 loss: 2.4569 2022/06/28 05:20:47 - mmengine - INFO - Epoch(train) [32][1700/3757] lr: 1.000e-02 eta: 18:58:38 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.6452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7400 loss: 1.7400 2022/06/28 05:20:52 - mmengine - INFO - Epoch(train) [32][1720/3757] lr: 1.000e-02 eta: 18:58:31 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.1107 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7643 loss: 1.7643 2022/06/28 05:20:58 - mmengine - INFO - Epoch(train) [32][1740/3757] lr: 1.000e-02 eta: 18:58:27 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 4.9869 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7366 loss: 1.7366 2022/06/28 05:21:03 - mmengine - INFO - Epoch(train) [32][1760/3757] lr: 1.000e-02 eta: 18:58:22 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.5832 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9114 loss: 1.9114 2022/06/28 05:21:09 - mmengine - INFO - Epoch(train) [32][1780/3757] lr: 1.000e-02 eta: 18:58:17 time: 0.186 data_time: 0.010 memory: 5150 grad_norm: 5.9001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9981 loss: 1.9981 2022/06/28 05:21:15 - mmengine - INFO - Epoch(train) [32][1800/3757] lr: 1.000e-02 eta: 18:58:13 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.6995 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1799 loss: 2.1799 2022/06/28 05:21:19 - mmengine - INFO - Epoch(train) [32][1820/3757] lr: 1.000e-02 eta: 18:58:06 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.5739 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3851 loss: 2.3851 2022/06/28 05:21:25 - mmengine - INFO - Epoch(train) [32][1840/3757] lr: 1.000e-02 eta: 18:58:01 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.0558 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8517 loss: 1.8517 2022/06/28 05:21:30 - mmengine - INFO - Epoch(train) [32][1860/3757] lr: 1.000e-02 eta: 18:57:55 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3537 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5159 loss: 1.5159 2022/06/28 05:21:35 - mmengine - INFO - Epoch(train) [32][1880/3757] lr: 1.000e-02 eta: 18:57:49 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1183 loss: 2.1183 2022/06/28 05:21:41 - mmengine - INFO - Epoch(train) [32][1900/3757] lr: 1.000e-02 eta: 18:57:45 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9171 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3395 loss: 2.3395 2022/06/28 05:21:46 - mmengine - INFO - Epoch(train) [32][1920/3757] lr: 1.000e-02 eta: 18:57:40 time: 0.223 data_time: 0.015 memory: 5150 grad_norm: 5.7952 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9747 loss: 1.9747 2022/06/28 05:21:51 - mmengine - INFO - Epoch(train) [32][1940/3757] lr: 1.000e-02 eta: 18:57:34 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.2579 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4382 loss: 2.4382 2022/06/28 05:21:56 - mmengine - INFO - Epoch(train) [32][1960/3757] lr: 1.000e-02 eta: 18:57:29 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8155 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9682 loss: 1.9682 2022/06/28 05:22:02 - mmengine - INFO - Epoch(train) [32][1980/3757] lr: 1.000e-02 eta: 18:57:24 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.2615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1929 loss: 2.1929 2022/06/28 05:22:07 - mmengine - INFO - Epoch(train) [32][2000/3757] lr: 1.000e-02 eta: 18:57:19 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6706 loss: 1.6706 2022/06/28 05:22:13 - mmengine - INFO - Epoch(train) [32][2020/3757] lr: 1.000e-02 eta: 18:57:14 time: 0.293 data_time: 0.011 memory: 5150 grad_norm: 5.7845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1174 loss: 2.1174 2022/06/28 05:22:19 - mmengine - INFO - Epoch(train) [32][2040/3757] lr: 1.000e-02 eta: 18:57:09 time: 0.219 data_time: 0.048 memory: 5150 grad_norm: 5.7160 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6248 loss: 1.6248 2022/06/28 05:22:24 - mmengine - INFO - Epoch(train) [32][2060/3757] lr: 1.000e-02 eta: 18:57:04 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 5.2763 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4214 loss: 2.4214 2022/06/28 05:22:28 - mmengine - INFO - Epoch(train) [32][2080/3757] lr: 1.000e-02 eta: 18:56:57 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 5.6693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9955 loss: 1.9955 2022/06/28 05:22:34 - mmengine - INFO - Epoch(train) [32][2100/3757] lr: 1.000e-02 eta: 18:56:52 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 6.8638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7850 loss: 1.7850 2022/06/28 05:22:39 - mmengine - INFO - Epoch(train) [32][2120/3757] lr: 1.000e-02 eta: 18:56:46 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1971 loss: 2.1971 2022/06/28 05:22:45 - mmengine - INFO - Epoch(train) [32][2140/3757] lr: 1.000e-02 eta: 18:56:42 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 6.0212 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9299 loss: 1.9299 2022/06/28 05:22:50 - mmengine - INFO - Epoch(train) [32][2160/3757] lr: 1.000e-02 eta: 18:56:36 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 6.1765 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4534 loss: 2.4534 2022/06/28 05:22:55 - mmengine - INFO - Epoch(train) [32][2180/3757] lr: 1.000e-02 eta: 18:56:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2437 loss: 2.2437 2022/06/28 05:23:00 - mmengine - INFO - Epoch(train) [32][2200/3757] lr: 1.000e-02 eta: 18:56:25 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 6.2243 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2083 loss: 2.2083 2022/06/28 05:23:06 - mmengine - INFO - Epoch(train) [32][2220/3757] lr: 1.000e-02 eta: 18:56:20 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.3812 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3238 loss: 2.3238 2022/06/28 05:23:11 - mmengine - INFO - Epoch(train) [32][2240/3757] lr: 1.000e-02 eta: 18:56:15 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.0068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/06/28 05:23:16 - mmengine - INFO - Epoch(train) [32][2260/3757] lr: 1.000e-02 eta: 18:56:09 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 5.8387 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9474 loss: 1.9474 2022/06/28 05:23:22 - mmengine - INFO - Epoch(train) [32][2280/3757] lr: 1.000e-02 eta: 18:56:05 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.2066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2648 loss: 2.2648 2022/06/28 05:23:27 - mmengine - INFO - Epoch(train) [32][2300/3757] lr: 1.000e-02 eta: 18:55:59 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0786 loss: 2.0786 2022/06/28 05:23:32 - mmengine - INFO - Epoch(train) [32][2320/3757] lr: 1.000e-02 eta: 18:55:54 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 5.6675 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8279 loss: 1.8279 2022/06/28 05:23:38 - mmengine - INFO - Epoch(train) [32][2340/3757] lr: 1.000e-02 eta: 18:55:49 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 6.4185 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1478 loss: 2.1478 2022/06/28 05:23:44 - mmengine - INFO - Epoch(train) [32][2360/3757] lr: 1.000e-02 eta: 18:55:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8767 loss: 1.8767 2022/06/28 05:23:48 - mmengine - INFO - Epoch(train) [32][2380/3757] lr: 1.000e-02 eta: 18:55:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8436 loss: 1.8436 2022/06/28 05:23:54 - mmengine - INFO - Epoch(train) [32][2400/3757] lr: 1.000e-02 eta: 18:55:33 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 4.9442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0588 loss: 2.0588 2022/06/28 05:23:59 - mmengine - INFO - Epoch(train) [32][2420/3757] lr: 1.000e-02 eta: 18:55:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8175 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1622 loss: 2.1622 2022/06/28 05:24:04 - mmengine - INFO - Epoch(train) [32][2440/3757] lr: 1.000e-02 eta: 18:55:22 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.8606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0669 loss: 2.0669 2022/06/28 05:24:10 - mmengine - INFO - Epoch(train) [32][2460/3757] lr: 1.000e-02 eta: 18:55:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5576 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0483 loss: 2.0483 2022/06/28 05:24:15 - mmengine - INFO - Epoch(train) [32][2480/3757] lr: 1.000e-02 eta: 18:55:12 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9742 loss: 1.9742 2022/06/28 05:24:21 - mmengine - INFO - Epoch(train) [32][2500/3757] lr: 1.000e-02 eta: 18:55:07 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.3084 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0297 loss: 2.0297 2022/06/28 05:24:26 - mmengine - INFO - Epoch(train) [32][2520/3757] lr: 1.000e-02 eta: 18:55:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3171 loss: 2.3171 2022/06/28 05:24:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:24:31 - mmengine - INFO - Epoch(train) [32][2540/3757] lr: 1.000e-02 eta: 18:54:56 time: 0.189 data_time: 0.011 memory: 5150 grad_norm: 6.0061 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3935 loss: 2.3935 2022/06/28 05:24:37 - mmengine - INFO - Epoch(train) [32][2560/3757] lr: 1.000e-02 eta: 18:54:51 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4212 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2741 loss: 2.2741 2022/06/28 05:24:42 - mmengine - INFO - Epoch(train) [32][2580/3757] lr: 1.000e-02 eta: 18:54:46 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.9842 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4137 loss: 2.4137 2022/06/28 05:24:47 - mmengine - INFO - Epoch(train) [32][2600/3757] lr: 1.000e-02 eta: 18:54:41 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.2951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8323 loss: 1.8323 2022/06/28 05:24:53 - mmengine - INFO - Epoch(train) [32][2620/3757] lr: 1.000e-02 eta: 18:54:35 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7509 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9395 loss: 1.9395 2022/06/28 05:24:58 - mmengine - INFO - Epoch(train) [32][2640/3757] lr: 1.000e-02 eta: 18:54:30 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.1233 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0987 loss: 2.0987 2022/06/28 05:25:04 - mmengine - INFO - Epoch(train) [32][2660/3757] lr: 1.000e-02 eta: 18:54:25 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.6876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0214 loss: 2.0214 2022/06/28 05:25:09 - mmengine - INFO - Epoch(train) [32][2680/3757] lr: 1.000e-02 eta: 18:54:20 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.1032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7308 loss: 1.7308 2022/06/28 05:25:14 - mmengine - INFO - Epoch(train) [32][2700/3757] lr: 1.000e-02 eta: 18:54:15 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7713 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2409 loss: 2.2409 2022/06/28 05:25:20 - mmengine - INFO - Epoch(train) [32][2720/3757] lr: 1.000e-02 eta: 18:54:10 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.8891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0374 loss: 2.0374 2022/06/28 05:25:25 - mmengine - INFO - Epoch(train) [32][2740/3757] lr: 1.000e-02 eta: 18:54:04 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6889 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8081 loss: 1.8081 2022/06/28 05:25:30 - mmengine - INFO - Epoch(train) [32][2760/3757] lr: 1.000e-02 eta: 18:54:00 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.2058 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.2374 loss: 2.2374 2022/06/28 05:25:36 - mmengine - INFO - Epoch(train) [32][2780/3757] lr: 1.000e-02 eta: 18:53:55 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.6830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9034 loss: 1.9034 2022/06/28 05:25:41 - mmengine - INFO - Epoch(train) [32][2800/3757] lr: 1.000e-02 eta: 18:53:49 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.5471 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2598 loss: 2.2598 2022/06/28 05:25:46 - mmengine - INFO - Epoch(train) [32][2820/3757] lr: 1.000e-02 eta: 18:53:44 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.2843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8810 loss: 1.8810 2022/06/28 05:25:52 - mmengine - INFO - Epoch(train) [32][2840/3757] lr: 1.000e-02 eta: 18:53:38 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4173 loss: 2.4173 2022/06/28 05:25:57 - mmengine - INFO - Epoch(train) [32][2860/3757] lr: 1.000e-02 eta: 18:53:33 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.3224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6653 loss: 1.6653 2022/06/28 05:26:02 - mmengine - INFO - Epoch(train) [32][2880/3757] lr: 1.000e-02 eta: 18:53:28 time: 0.199 data_time: 0.017 memory: 5150 grad_norm: 5.4916 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0303 loss: 2.0303 2022/06/28 05:26:08 - mmengine - INFO - Epoch(train) [32][2900/3757] lr: 1.000e-02 eta: 18:53:23 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 5.2307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8256 loss: 1.8256 2022/06/28 05:26:13 - mmengine - INFO - Epoch(train) [32][2920/3757] lr: 1.000e-02 eta: 18:53:18 time: 0.408 data_time: 0.010 memory: 5150 grad_norm: 5.1786 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0812 loss: 2.0812 2022/06/28 05:26:18 - mmengine - INFO - Epoch(train) [32][2940/3757] lr: 1.000e-02 eta: 18:53:12 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5187 loss: 1.5187 2022/06/28 05:26:24 - mmengine - INFO - Epoch(train) [32][2960/3757] lr: 1.000e-02 eta: 18:53:07 time: 0.189 data_time: 0.015 memory: 5150 grad_norm: 6.3710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2535 loss: 2.2535 2022/06/28 05:26:29 - mmengine - INFO - Epoch(train) [32][2980/3757] lr: 1.000e-02 eta: 18:53:01 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.6446 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2073 loss: 2.2073 2022/06/28 05:26:35 - mmengine - INFO - Epoch(train) [32][3000/3757] lr: 1.000e-02 eta: 18:52:57 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.3334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1640 loss: 2.1640 2022/06/28 05:26:40 - mmengine - INFO - Epoch(train) [32][3020/3757] lr: 1.000e-02 eta: 18:52:53 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 6.4425 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0208 loss: 2.0208 2022/06/28 05:26:45 - mmengine - INFO - Epoch(train) [32][3040/3757] lr: 1.000e-02 eta: 18:52:46 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.2524 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0747 loss: 2.0747 2022/06/28 05:26:51 - mmengine - INFO - Epoch(train) [32][3060/3757] lr: 1.000e-02 eta: 18:52:41 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.8839 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3469 loss: 2.3469 2022/06/28 05:26:57 - mmengine - INFO - Epoch(train) [32][3080/3757] lr: 1.000e-02 eta: 18:52:37 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 4.8153 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2067 loss: 2.2067 2022/06/28 05:27:01 - mmengine - INFO - Epoch(train) [32][3100/3757] lr: 1.000e-02 eta: 18:52:30 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.6383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6597 loss: 1.6597 2022/06/28 05:27:07 - mmengine - INFO - Epoch(train) [32][3120/3757] lr: 1.000e-02 eta: 18:52:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7503 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4447 loss: 2.4447 2022/06/28 05:27:12 - mmengine - INFO - Epoch(train) [32][3140/3757] lr: 1.000e-02 eta: 18:52:21 time: 0.212 data_time: 0.023 memory: 5150 grad_norm: 5.9489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0456 loss: 2.0456 2022/06/28 05:27:17 - mmengine - INFO - Epoch(train) [32][3160/3757] lr: 1.000e-02 eta: 18:52:15 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 4.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1547 loss: 2.1547 2022/06/28 05:27:23 - mmengine - INFO - Epoch(train) [32][3180/3757] lr: 1.000e-02 eta: 18:52:10 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.0941 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3427 loss: 2.3427 2022/06/28 05:27:29 - mmengine - INFO - Epoch(train) [32][3200/3757] lr: 1.000e-02 eta: 18:52:06 time: 0.229 data_time: 0.049 memory: 5150 grad_norm: 5.2626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2882 loss: 2.2882 2022/06/28 05:27:33 - mmengine - INFO - Epoch(train) [32][3220/3757] lr: 1.000e-02 eta: 18:51:59 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 5.6195 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0637 loss: 2.0637 2022/06/28 05:27:39 - mmengine - INFO - Epoch(train) [32][3240/3757] lr: 1.000e-02 eta: 18:51:54 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.5107 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1462 loss: 2.1462 2022/06/28 05:27:44 - mmengine - INFO - Epoch(train) [32][3260/3757] lr: 1.000e-02 eta: 18:51:49 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.1487 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3004 loss: 2.3004 2022/06/28 05:27:49 - mmengine - INFO - Epoch(train) [32][3280/3757] lr: 1.000e-02 eta: 18:51:43 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.2046 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8420 loss: 1.8420 2022/06/28 05:27:55 - mmengine - INFO - Epoch(train) [32][3300/3757] lr: 1.000e-02 eta: 18:51:39 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 5.7307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1989 loss: 2.1989 2022/06/28 05:28:00 - mmengine - INFO - Epoch(train) [32][3320/3757] lr: 1.000e-02 eta: 18:51:34 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4650 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7952 loss: 1.7952 2022/06/28 05:28:06 - mmengine - INFO - Epoch(train) [32][3340/3757] lr: 1.000e-02 eta: 18:51:28 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.4295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2609 loss: 2.2609 2022/06/28 05:28:11 - mmengine - INFO - Epoch(train) [32][3360/3757] lr: 1.000e-02 eta: 18:51:23 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.0052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0387 loss: 2.0387 2022/06/28 05:28:16 - mmengine - INFO - Epoch(train) [32][3380/3757] lr: 1.000e-02 eta: 18:51:18 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 5.6340 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1154 loss: 2.1154 2022/06/28 05:28:22 - mmengine - INFO - Epoch(train) [32][3400/3757] lr: 1.000e-02 eta: 18:51:12 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8168 loss: 1.8168 2022/06/28 05:28:27 - mmengine - INFO - Epoch(train) [32][3420/3757] lr: 1.000e-02 eta: 18:51:07 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 5.4427 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1161 loss: 2.1161 2022/06/28 05:28:32 - mmengine - INFO - Epoch(train) [32][3440/3757] lr: 1.000e-02 eta: 18:51:01 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7180 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1999 loss: 2.1999 2022/06/28 05:28:38 - mmengine - INFO - Epoch(train) [32][3460/3757] lr: 1.000e-02 eta: 18:50:56 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 5.5905 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1143 loss: 2.1143 2022/06/28 05:28:43 - mmengine - INFO - Epoch(train) [32][3480/3757] lr: 1.000e-02 eta: 18:50:52 time: 0.248 data_time: 0.016 memory: 5150 grad_norm: 6.2325 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8451 loss: 1.8451 2022/06/28 05:28:48 - mmengine - INFO - Epoch(train) [32][3500/3757] lr: 1.000e-02 eta: 18:50:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6567 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.3701 loss: 2.3701 2022/06/28 05:28:54 - mmengine - INFO - Epoch(train) [32][3520/3757] lr: 1.000e-02 eta: 18:50:41 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.1963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9304 loss: 1.9304 2022/06/28 05:28:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:28:59 - mmengine - INFO - Epoch(train) [32][3540/3757] lr: 1.000e-02 eta: 18:50:36 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.7040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0637 loss: 2.0637 2022/06/28 05:29:04 - mmengine - INFO - Epoch(train) [32][3560/3757] lr: 1.000e-02 eta: 18:50:30 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 4.3933 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1467 loss: 2.1467 2022/06/28 05:29:09 - mmengine - INFO - Epoch(train) [32][3580/3757] lr: 1.000e-02 eta: 18:50:24 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.2244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8471 loss: 1.8471 2022/06/28 05:29:15 - mmengine - INFO - Epoch(train) [32][3600/3757] lr: 1.000e-02 eta: 18:50:20 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 4.9350 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.5101 loss: 2.5101 2022/06/28 05:29:21 - mmengine - INFO - Epoch(train) [32][3620/3757] lr: 1.000e-02 eta: 18:50:15 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.1697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0085 loss: 2.0085 2022/06/28 05:29:26 - mmengine - INFO - Epoch(train) [32][3640/3757] lr: 1.000e-02 eta: 18:50:09 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.5675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0282 loss: 2.0282 2022/06/28 05:29:31 - mmengine - INFO - Epoch(train) [32][3660/3757] lr: 1.000e-02 eta: 18:50:04 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.6418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/06/28 05:29:36 - mmengine - INFO - Epoch(train) [32][3680/3757] lr: 1.000e-02 eta: 18:49:59 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.6160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7169 loss: 1.7169 2022/06/28 05:29:41 - mmengine - INFO - Epoch(train) [32][3700/3757] lr: 1.000e-02 eta: 18:49:52 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.3593 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5131 loss: 2.5131 2022/06/28 05:29:47 - mmengine - INFO - Epoch(train) [32][3720/3757] lr: 1.000e-02 eta: 18:49:47 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.2025 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.2448 loss: 2.2448 2022/06/28 05:29:52 - mmengine - INFO - Epoch(train) [32][3740/3757] lr: 1.000e-02 eta: 18:49:43 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.3417 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4655 loss: 2.4655 2022/06/28 05:29:56 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:30:28 - mmengine - INFO - Epoch(val) [32][20/310] eta: 0:05:38 time: 1.003 data_time: 0.351 memory: 9746 2022/06/28 05:30:50 - mmengine - INFO - Epoch(val) [32][40/310] eta: 0:04:53 time: 1.115 data_time: 0.467 memory: 9746 2022/06/28 05:31:14 - mmengine - INFO - Epoch(val) [32][60/310] eta: 0:04:19 time: 1.051 data_time: 0.418 memory: 9746 2022/06/28 05:31:39 - mmengine - INFO - Epoch(val) [32][80/310] eta: 0:05:21 time: 1.149 data_time: 0.490 memory: 9746 2022/06/28 05:32:02 - mmengine - INFO - Epoch(val) [32][100/310] eta: 0:04:11 time: 2.507 data_time: 1.821 memory: 9746 2022/06/28 05:32:23 - mmengine - INFO - Epoch(val) [32][120/310] eta: 0:03:17 time: 1.107 data_time: 0.471 memory: 9746 2022/06/28 05:32:48 - mmengine - INFO - Epoch(val) [32][140/310] eta: 0:03:25 time: 1.105 data_time: 0.464 memory: 9746 2022/06/28 05:33:13 - mmengine - INFO - Epoch(val) [32][160/310] eta: 0:03:18 time: 3.425 data_time: 2.736 memory: 9746 2022/06/28 05:33:36 - mmengine - INFO - Epoch(val) [32][180/310] eta: 0:02:50 time: 1.120 data_time: 0.476 memory: 9746 2022/06/28 05:33:59 - mmengine - INFO - Epoch(val) [32][200/310] eta: 0:02:13 time: 1.109 data_time: 0.457 memory: 9746 2022/06/28 05:34:20 - mmengine - INFO - Epoch(val) [32][220/310] eta: 0:01:35 time: 1.019 data_time: 0.373 memory: 9746 2022/06/28 05:34:41 - mmengine - INFO - Epoch(val) [32][240/310] eta: 0:01:11 time: 0.965 data_time: 0.319 memory: 9746 2022/06/28 05:35:04 - mmengine - INFO - Epoch(val) [32][260/310] eta: 0:01:00 time: 1.222 data_time: 0.424 memory: 9746 2022/06/28 05:35:27 - mmengine - INFO - Epoch(val) [32][280/310] eta: 0:00:34 time: 1.761 data_time: 1.123 memory: 9746 2022/06/28 05:35:46 - mmengine - INFO - Epoch(val) [32][300/310] eta: 0:00:08 time: 0.627 data_time: 0.063 memory: 9746 2022/06/28 05:35:58 - mmengine - INFO - Epoch(val) [32][310/310] acc/top1: 0.6061 acc/top5: 0.8382 acc/mean1: 0.6060 2022/06/28 05:36:06 - mmengine - INFO - Epoch(train) [33][20/3757] lr: 1.000e-02 eta: 18:49:34 time: 0.195 data_time: 0.016 memory: 9746 grad_norm: 5.6072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0228 loss: 2.0228 2022/06/28 05:36:12 - mmengine - INFO - Epoch(train) [33][40/3757] lr: 1.000e-02 eta: 18:49:30 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.4268 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0566 loss: 2.0566 2022/06/28 05:36:17 - mmengine - INFO - Epoch(train) [33][60/3757] lr: 1.000e-02 eta: 18:49:24 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.0043 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3976 loss: 2.3976 2022/06/28 05:36:22 - mmengine - INFO - Epoch(train) [33][80/3757] lr: 1.000e-02 eta: 18:49:19 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.2248 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9089 loss: 1.9089 2022/06/28 05:36:29 - mmengine - INFO - Epoch(train) [33][100/3757] lr: 1.000e-02 eta: 18:49:16 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.4590 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1464 loss: 2.1464 2022/06/28 05:36:33 - mmengine - INFO - Epoch(train) [33][120/3757] lr: 1.000e-02 eta: 18:49:09 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 5.4670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6089 loss: 1.6089 2022/06/28 05:36:39 - mmengine - INFO - Epoch(train) [33][140/3757] lr: 1.000e-02 eta: 18:49:04 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 5.4492 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2184 loss: 2.2184 2022/06/28 05:36:44 - mmengine - INFO - Epoch(train) [33][160/3757] lr: 1.000e-02 eta: 18:48:59 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.8864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3327 loss: 2.3327 2022/06/28 05:36:49 - mmengine - INFO - Epoch(train) [33][180/3757] lr: 1.000e-02 eta: 18:48:52 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.4595 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2227 loss: 2.2227 2022/06/28 05:36:55 - mmengine - INFO - Epoch(train) [33][200/3757] lr: 1.000e-02 eta: 18:48:49 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.6725 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9850 loss: 1.9850 2022/06/28 05:37:00 - mmengine - INFO - Epoch(train) [33][220/3757] lr: 1.000e-02 eta: 18:48:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.0113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0010 loss: 2.0010 2022/06/28 05:37:05 - mmengine - INFO - Epoch(train) [33][240/3757] lr: 1.000e-02 eta: 18:48:37 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.0094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8024 loss: 1.8024 2022/06/28 05:37:11 - mmengine - INFO - Epoch(train) [33][260/3757] lr: 1.000e-02 eta: 18:48:33 time: 0.191 data_time: 0.006 memory: 5150 grad_norm: 6.0624 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8127 loss: 1.8127 2022/06/28 05:37:17 - mmengine - INFO - Epoch(train) [33][280/3757] lr: 1.000e-02 eta: 18:48:29 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.8830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/06/28 05:37:22 - mmengine - INFO - Epoch(train) [33][300/3757] lr: 1.000e-02 eta: 18:48:23 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.9552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6521 loss: 2.6521 2022/06/28 05:37:27 - mmengine - INFO - Epoch(train) [33][320/3757] lr: 1.000e-02 eta: 18:48:18 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.3307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5634 loss: 1.5634 2022/06/28 05:37:33 - mmengine - INFO - Epoch(train) [33][340/3757] lr: 1.000e-02 eta: 18:48:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4298 loss: 1.4298 2022/06/28 05:37:38 - mmengine - INFO - Epoch(train) [33][360/3757] lr: 1.000e-02 eta: 18:48:06 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.3394 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/06/28 05:37:43 - mmengine - INFO - Epoch(train) [33][380/3757] lr: 1.000e-02 eta: 18:48:01 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.7761 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0566 loss: 2.0566 2022/06/28 05:37:48 - mmengine - INFO - Epoch(train) [33][400/3757] lr: 1.000e-02 eta: 18:47:56 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 5.3811 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3803 loss: 2.3803 2022/06/28 05:37:53 - mmengine - INFO - Epoch(train) [33][420/3757] lr: 1.000e-02 eta: 18:47:50 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.5248 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6714 loss: 1.6714 2022/06/28 05:37:59 - mmengine - INFO - Epoch(train) [33][440/3757] lr: 1.000e-02 eta: 18:47:45 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.7028 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3840 loss: 2.3840 2022/06/28 05:38:05 - mmengine - INFO - Epoch(train) [33][460/3757] lr: 1.000e-02 eta: 18:47:41 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2305 loss: 2.2305 2022/06/28 05:38:09 - mmengine - INFO - Epoch(train) [33][480/3757] lr: 1.000e-02 eta: 18:47:35 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 4.6574 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7471 loss: 1.7471 2022/06/28 05:38:15 - mmengine - INFO - Epoch(train) [33][500/3757] lr: 1.000e-02 eta: 18:47:30 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 4.9428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9245 loss: 1.9245 2022/06/28 05:38:21 - mmengine - INFO - Epoch(train) [33][520/3757] lr: 1.000e-02 eta: 18:47:25 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.1515 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5800 loss: 1.5800 2022/06/28 05:38:25 - mmengine - INFO - Epoch(train) [33][540/3757] lr: 1.000e-02 eta: 18:47:18 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.7059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8698 loss: 1.8698 2022/06/28 05:38:31 - mmengine - INFO - Epoch(train) [33][560/3757] lr: 1.000e-02 eta: 18:47:13 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.1882 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6642 loss: 1.6642 2022/06/28 05:38:36 - mmengine - INFO - Epoch(train) [33][580/3757] lr: 1.000e-02 eta: 18:47:09 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.9730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9904 loss: 1.9904 2022/06/28 05:38:41 - mmengine - INFO - Epoch(train) [33][600/3757] lr: 1.000e-02 eta: 18:47:03 time: 0.393 data_time: 0.008 memory: 5150 grad_norm: 5.8039 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4123 loss: 2.4123 2022/06/28 05:38:47 - mmengine - INFO - Epoch(train) [33][620/3757] lr: 1.000e-02 eta: 18:46:58 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.3682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0321 loss: 2.0321 2022/06/28 05:38:52 - mmengine - INFO - Epoch(train) [33][640/3757] lr: 1.000e-02 eta: 18:46:53 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.3235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2386 loss: 2.2386 2022/06/28 05:38:57 - mmengine - INFO - Epoch(train) [33][660/3757] lr: 1.000e-02 eta: 18:46:47 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.4814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7830 loss: 1.7830 2022/06/28 05:39:03 - mmengine - INFO - Epoch(train) [33][680/3757] lr: 1.000e-02 eta: 18:46:42 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.5458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1430 loss: 2.1430 2022/06/28 05:39:08 - mmengine - INFO - Epoch(train) [33][700/3757] lr: 1.000e-02 eta: 18:46:37 time: 0.787 data_time: 0.007 memory: 5150 grad_norm: 6.4689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1464 loss: 2.1464 2022/06/28 05:39:13 - mmengine - INFO - Epoch(train) [33][720/3757] lr: 1.000e-02 eta: 18:46:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.7047 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2227 loss: 2.2227 2022/06/28 05:39:18 - mmengine - INFO - Epoch(train) [33][740/3757] lr: 1.000e-02 eta: 18:46:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4306 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2508 loss: 2.2508 2022/06/28 05:39:24 - mmengine - INFO - Epoch(train) [33][760/3757] lr: 1.000e-02 eta: 18:46:21 time: 0.829 data_time: 0.010 memory: 5150 grad_norm: 5.7642 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1192 loss: 2.1192 2022/06/28 05:39:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:39:30 - mmengine - INFO - Epoch(train) [33][780/3757] lr: 1.000e-02 eta: 18:46:16 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.7688 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9908 loss: 1.9908 2022/06/28 05:39:35 - mmengine - INFO - Epoch(train) [33][800/3757] lr: 1.000e-02 eta: 18:46:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.4636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8402 loss: 1.8402 2022/06/28 05:39:40 - mmengine - INFO - Epoch(train) [33][820/3757] lr: 1.000e-02 eta: 18:46:06 time: 0.759 data_time: 0.011 memory: 5150 grad_norm: 4.5714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9964 loss: 1.9964 2022/06/28 05:39:45 - mmengine - INFO - Epoch(train) [33][840/3757] lr: 1.000e-02 eta: 18:46:00 time: 0.664 data_time: 0.013 memory: 5150 grad_norm: 5.7525 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1176 loss: 2.1176 2022/06/28 05:39:51 - mmengine - INFO - Epoch(train) [33][860/3757] lr: 1.000e-02 eta: 18:45:54 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.4603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0287 loss: 2.0287 2022/06/28 05:39:56 - mmengine - INFO - Epoch(train) [33][880/3757] lr: 1.000e-02 eta: 18:45:49 time: 0.426 data_time: 0.007 memory: 5150 grad_norm: 6.1160 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8450 loss: 1.8450 2022/06/28 05:40:02 - mmengine - INFO - Epoch(train) [33][900/3757] lr: 1.000e-02 eta: 18:45:45 time: 1.415 data_time: 0.007 memory: 5150 grad_norm: 6.1433 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/06/28 05:40:07 - mmengine - INFO - Epoch(train) [33][920/3757] lr: 1.000e-02 eta: 18:45:38 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0692 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3197 loss: 2.3197 2022/06/28 05:40:12 - mmengine - INFO - Epoch(train) [33][940/3757] lr: 1.000e-02 eta: 18:45:34 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.1985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8304 loss: 1.8304 2022/06/28 05:40:18 - mmengine - INFO - Epoch(train) [33][960/3757] lr: 1.000e-02 eta: 18:45:29 time: 1.050 data_time: 0.007 memory: 5150 grad_norm: 5.3295 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2562 loss: 2.2562 2022/06/28 05:40:23 - mmengine - INFO - Epoch(train) [33][980/3757] lr: 1.000e-02 eta: 18:45:23 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.3144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9816 loss: 1.9816 2022/06/28 05:40:28 - mmengine - INFO - Epoch(train) [33][1000/3757] lr: 1.000e-02 eta: 18:45:18 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0430 loss: 2.0430 2022/06/28 05:40:34 - mmengine - INFO - Epoch(train) [33][1020/3757] lr: 1.000e-02 eta: 18:45:13 time: 0.572 data_time: 0.010 memory: 5150 grad_norm: 5.8090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8343 loss: 1.8343 2022/06/28 05:40:39 - mmengine - INFO - Epoch(train) [33][1040/3757] lr: 1.000e-02 eta: 18:45:07 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.4473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6686 loss: 1.6686 2022/06/28 05:40:44 - mmengine - INFO - Epoch(train) [33][1060/3757] lr: 1.000e-02 eta: 18:45:02 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.5393 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7753 loss: 1.7753 2022/06/28 05:40:50 - mmengine - INFO - Epoch(train) [33][1080/3757] lr: 1.000e-02 eta: 18:44:58 time: 1.003 data_time: 0.007 memory: 5150 grad_norm: 5.4429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4424 loss: 2.4424 2022/06/28 05:40:55 - mmengine - INFO - Epoch(train) [33][1100/3757] lr: 1.000e-02 eta: 18:44:52 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 6.1377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8814 loss: 1.8814 2022/06/28 05:41:00 - mmengine - INFO - Epoch(train) [33][1120/3757] lr: 1.000e-02 eta: 18:44:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8471 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.4332 loss: 2.4332 2022/06/28 05:41:06 - mmengine - INFO - Epoch(train) [33][1140/3757] lr: 1.000e-02 eta: 18:44:42 time: 0.700 data_time: 0.008 memory: 5150 grad_norm: 6.2219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9238 loss: 1.9238 2022/06/28 05:41:11 - mmengine - INFO - Epoch(train) [33][1160/3757] lr: 1.000e-02 eta: 18:44:35 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.2932 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0884 loss: 2.0884 2022/06/28 05:41:16 - mmengine - INFO - Epoch(train) [33][1180/3757] lr: 1.000e-02 eta: 18:44:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1069 loss: 2.1069 2022/06/28 05:41:22 - mmengine - INFO - Epoch(train) [33][1200/3757] lr: 1.000e-02 eta: 18:44:26 time: 0.483 data_time: 0.010 memory: 5150 grad_norm: 6.2812 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0309 loss: 2.0309 2022/06/28 05:41:27 - mmengine - INFO - Epoch(train) [33][1220/3757] lr: 1.000e-02 eta: 18:44:20 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6579 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5883 loss: 1.5883 2022/06/28 05:41:32 - mmengine - INFO - Epoch(train) [33][1240/3757] lr: 1.000e-02 eta: 18:44:15 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2272 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4304 loss: 2.4304 2022/06/28 05:41:38 - mmengine - INFO - Epoch(train) [33][1260/3757] lr: 1.000e-02 eta: 18:44:10 time: 0.305 data_time: 0.007 memory: 5150 grad_norm: 7.0221 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9496 loss: 1.9496 2022/06/28 05:41:43 - mmengine - INFO - Epoch(train) [33][1280/3757] lr: 1.000e-02 eta: 18:44:04 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.2906 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0747 loss: 2.0747 2022/06/28 05:41:49 - mmengine - INFO - Epoch(train) [33][1300/3757] lr: 1.000e-02 eta: 18:44:00 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.1657 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9682 loss: 1.9682 2022/06/28 05:41:54 - mmengine - INFO - Epoch(train) [33][1320/3757] lr: 1.000e-02 eta: 18:43:55 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.1843 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6016 loss: 1.6016 2022/06/28 05:41:59 - mmengine - INFO - Epoch(train) [33][1340/3757] lr: 1.000e-02 eta: 18:43:49 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.0009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8040 loss: 1.8040 2022/06/28 05:42:05 - mmengine - INFO - Epoch(train) [33][1360/3757] lr: 1.000e-02 eta: 18:43:44 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.5360 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8833 loss: 1.8833 2022/06/28 05:42:10 - mmengine - INFO - Epoch(train) [33][1380/3757] lr: 1.000e-02 eta: 18:43:39 time: 0.201 data_time: 0.026 memory: 5150 grad_norm: 6.1657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7668 loss: 1.7668 2022/06/28 05:42:15 - mmengine - INFO - Epoch(train) [33][1400/3757] lr: 1.000e-02 eta: 18:43:33 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2622 loss: 2.2622 2022/06/28 05:42:20 - mmengine - INFO - Epoch(train) [33][1420/3757] lr: 1.000e-02 eta: 18:43:28 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.6967 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7419 loss: 1.7419 2022/06/28 05:42:26 - mmengine - INFO - Epoch(train) [33][1440/3757] lr: 1.000e-02 eta: 18:43:23 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 5.1257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1897 loss: 2.1897 2022/06/28 05:42:31 - mmengine - INFO - Epoch(train) [33][1460/3757] lr: 1.000e-02 eta: 18:43:16 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9787 loss: 1.9787 2022/06/28 05:42:37 - mmengine - INFO - Epoch(train) [33][1480/3757] lr: 1.000e-02 eta: 18:43:13 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 5.6090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0414 loss: 2.0414 2022/06/28 05:42:42 - mmengine - INFO - Epoch(train) [33][1500/3757] lr: 1.000e-02 eta: 18:43:06 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.3946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0358 loss: 2.0358 2022/06/28 05:42:47 - mmengine - INFO - Epoch(train) [33][1520/3757] lr: 1.000e-02 eta: 18:43:02 time: 0.197 data_time: 0.025 memory: 5150 grad_norm: 5.5472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3848 loss: 2.3848 2022/06/28 05:42:53 - mmengine - INFO - Epoch(train) [33][1540/3757] lr: 1.000e-02 eta: 18:42:57 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.0758 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6971 loss: 1.6971 2022/06/28 05:42:58 - mmengine - INFO - Epoch(train) [33][1560/3757] lr: 1.000e-02 eta: 18:42:51 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.6677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7240 loss: 1.7240 2022/06/28 05:43:03 - mmengine - INFO - Epoch(train) [33][1580/3757] lr: 1.000e-02 eta: 18:42:46 time: 0.207 data_time: 0.033 memory: 5150 grad_norm: 5.9752 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6492 loss: 2.6492 2022/06/28 05:43:09 - mmengine - INFO - Epoch(train) [33][1600/3757] lr: 1.000e-02 eta: 18:42:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7058 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/06/28 05:43:14 - mmengine - INFO - Epoch(train) [33][1620/3757] lr: 1.000e-02 eta: 18:42:35 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 5.2640 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7474 loss: 1.7474 2022/06/28 05:43:19 - mmengine - INFO - Epoch(train) [33][1640/3757] lr: 1.000e-02 eta: 18:42:29 time: 0.193 data_time: 0.020 memory: 5150 grad_norm: 6.9272 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.9218 loss: 1.9218 2022/06/28 05:43:25 - mmengine - INFO - Epoch(train) [33][1660/3757] lr: 1.000e-02 eta: 18:42:25 time: 0.267 data_time: 0.007 memory: 5150 grad_norm: 5.3938 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0742 loss: 2.0742 2022/06/28 05:43:30 - mmengine - INFO - Epoch(train) [33][1680/3757] lr: 1.000e-02 eta: 18:42:20 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 6.0618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8751 loss: 1.8751 2022/06/28 05:43:35 - mmengine - INFO - Epoch(train) [33][1700/3757] lr: 1.000e-02 eta: 18:42:15 time: 0.209 data_time: 0.022 memory: 5150 grad_norm: 5.1013 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9947 loss: 1.9947 2022/06/28 05:43:41 - mmengine - INFO - Epoch(train) [33][1720/3757] lr: 1.000e-02 eta: 18:42:09 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.6733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3280 loss: 2.3280 2022/06/28 05:43:46 - mmengine - INFO - Epoch(train) [33][1740/3757] lr: 1.000e-02 eta: 18:42:04 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 6.6481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7317 loss: 1.7317 2022/06/28 05:43:51 - mmengine - INFO - Epoch(train) [33][1760/3757] lr: 1.000e-02 eta: 18:41:59 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.9967 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0031 loss: 2.0031 2022/06/28 05:43:55 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:43:56 - mmengine - INFO - Epoch(train) [33][1780/3757] lr: 1.000e-02 eta: 18:41:53 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.5790 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8981 loss: 1.8981 2022/06/28 05:44:01 - mmengine - INFO - Epoch(train) [33][1800/3757] lr: 1.000e-02 eta: 18:41:47 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.2433 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3046 loss: 2.3046 2022/06/28 05:44:07 - mmengine - INFO - Epoch(train) [33][1820/3757] lr: 1.000e-02 eta: 18:41:42 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.0057 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8287 loss: 1.8287 2022/06/28 05:44:12 - mmengine - INFO - Epoch(train) [33][1840/3757] lr: 1.000e-02 eta: 18:41:36 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6059 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/06/28 05:44:18 - mmengine - INFO - Epoch(train) [33][1860/3757] lr: 1.000e-02 eta: 18:41:31 time: 0.189 data_time: 0.011 memory: 5150 grad_norm: 5.9651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1066 loss: 2.1066 2022/06/28 05:44:23 - mmengine - INFO - Epoch(train) [33][1880/3757] lr: 1.000e-02 eta: 18:41:27 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 5.4467 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8897 loss: 1.8897 2022/06/28 05:44:28 - mmengine - INFO - Epoch(train) [33][1900/3757] lr: 1.000e-02 eta: 18:41:20 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.4546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8025 loss: 1.8025 2022/06/28 05:44:34 - mmengine - INFO - Epoch(train) [33][1920/3757] lr: 1.000e-02 eta: 18:41:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7573 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0005 loss: 2.0005 2022/06/28 05:44:39 - mmengine - INFO - Epoch(train) [33][1940/3757] lr: 1.000e-02 eta: 18:41:11 time: 0.194 data_time: 0.018 memory: 5150 grad_norm: 5.1252 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3658 loss: 2.3658 2022/06/28 05:44:45 - mmengine - INFO - Epoch(train) [33][1960/3757] lr: 1.000e-02 eta: 18:41:06 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.6173 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2117 loss: 2.2117 2022/06/28 05:44:49 - mmengine - INFO - Epoch(train) [33][1980/3757] lr: 1.000e-02 eta: 18:40:59 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.3779 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0940 loss: 2.0940 2022/06/28 05:44:55 - mmengine - INFO - Epoch(train) [33][2000/3757] lr: 1.000e-02 eta: 18:40:54 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 6.0848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9372 loss: 1.9372 2022/06/28 05:45:00 - mmengine - INFO - Epoch(train) [33][2020/3757] lr: 1.000e-02 eta: 18:40:50 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.5021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/06/28 05:45:05 - mmengine - INFO - Epoch(train) [33][2040/3757] lr: 1.000e-02 eta: 18:40:43 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.5040 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9507 loss: 1.9507 2022/06/28 05:45:11 - mmengine - INFO - Epoch(train) [33][2060/3757] lr: 1.000e-02 eta: 18:40:38 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1491 loss: 2.1491 2022/06/28 05:45:16 - mmengine - INFO - Epoch(train) [33][2080/3757] lr: 1.000e-02 eta: 18:40:34 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 6.5125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8642 loss: 1.8642 2022/06/28 05:45:21 - mmengine - INFO - Epoch(train) [33][2100/3757] lr: 1.000e-02 eta: 18:40:27 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 4.9274 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7772 loss: 1.7772 2022/06/28 05:45:27 - mmengine - INFO - Epoch(train) [33][2120/3757] lr: 1.000e-02 eta: 18:40:22 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.4115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8961 loss: 1.8961 2022/06/28 05:45:32 - mmengine - INFO - Epoch(train) [33][2140/3757] lr: 1.000e-02 eta: 18:40:17 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7416 loss: 1.7416 2022/06/28 05:45:37 - mmengine - INFO - Epoch(train) [33][2160/3757] lr: 1.000e-02 eta: 18:40:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6389 loss: 1.6389 2022/06/28 05:45:42 - mmengine - INFO - Epoch(train) [33][2180/3757] lr: 1.000e-02 eta: 18:40:06 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.7573 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4052 loss: 2.4052 2022/06/28 05:45:47 - mmengine - INFO - Epoch(train) [33][2200/3757] lr: 1.000e-02 eta: 18:40:00 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.5020 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9607 loss: 1.9607 2022/06/28 05:45:52 - mmengine - INFO - Epoch(train) [33][2220/3757] lr: 1.000e-02 eta: 18:39:54 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 6.4914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7393 loss: 1.7393 2022/06/28 05:45:58 - mmengine - INFO - Epoch(train) [33][2240/3757] lr: 1.000e-02 eta: 18:39:49 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0272 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1078 loss: 2.1078 2022/06/28 05:46:03 - mmengine - INFO - Epoch(train) [33][2260/3757] lr: 1.000e-02 eta: 18:39:44 time: 0.280 data_time: 0.013 memory: 5150 grad_norm: 5.9259 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8146 loss: 1.8146 2022/06/28 05:46:08 - mmengine - INFO - Epoch(train) [33][2280/3757] lr: 1.000e-02 eta: 18:39:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.0477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2198 loss: 2.2198 2022/06/28 05:46:14 - mmengine - INFO - Epoch(train) [33][2300/3757] lr: 1.000e-02 eta: 18:39:34 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.9212 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6322 loss: 2.6322 2022/06/28 05:46:19 - mmengine - INFO - Epoch(train) [33][2320/3757] lr: 1.000e-02 eta: 18:39:28 time: 0.294 data_time: 0.015 memory: 5150 grad_norm: 5.4072 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4975 loss: 2.4975 2022/06/28 05:46:25 - mmengine - INFO - Epoch(train) [33][2340/3757] lr: 1.000e-02 eta: 18:39:23 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1036 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9384 loss: 1.9384 2022/06/28 05:46:31 - mmengine - INFO - Epoch(train) [33][2360/3757] lr: 1.000e-02 eta: 18:39:19 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.1617 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2294 loss: 2.2294 2022/06/28 05:46:36 - mmengine - INFO - Epoch(train) [33][2380/3757] lr: 1.000e-02 eta: 18:39:13 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.7456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2466 loss: 2.2466 2022/06/28 05:46:41 - mmengine - INFO - Epoch(train) [33][2400/3757] lr: 1.000e-02 eta: 18:39:08 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4769 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.2911 loss: 2.2911 2022/06/28 05:46:46 - mmengine - INFO - Epoch(train) [33][2420/3757] lr: 1.000e-02 eta: 18:39:03 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.9520 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6760 loss: 1.6760 2022/06/28 05:46:52 - mmengine - INFO - Epoch(train) [33][2440/3757] lr: 1.000e-02 eta: 18:38:58 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.9321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0640 loss: 2.0640 2022/06/28 05:46:57 - mmengine - INFO - Epoch(train) [33][2460/3757] lr: 1.000e-02 eta: 18:38:52 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.7034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7918 loss: 1.7918 2022/06/28 05:47:03 - mmengine - INFO - Epoch(train) [33][2480/3757] lr: 1.000e-02 eta: 18:38:47 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.8613 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8675 loss: 1.8675 2022/06/28 05:47:08 - mmengine - INFO - Epoch(train) [33][2500/3757] lr: 1.000e-02 eta: 18:38:42 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 5.3081 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9801 loss: 1.9801 2022/06/28 05:47:13 - mmengine - INFO - Epoch(train) [33][2520/3757] lr: 1.000e-02 eta: 18:38:36 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9200 loss: 1.9200 2022/06/28 05:47:18 - mmengine - INFO - Epoch(train) [33][2540/3757] lr: 1.000e-02 eta: 18:38:31 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 4.7574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9861 loss: 1.9861 2022/06/28 05:47:24 - mmengine - INFO - Epoch(train) [33][2560/3757] lr: 1.000e-02 eta: 18:38:27 time: 0.808 data_time: 0.008 memory: 5150 grad_norm: 4.9488 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0032 loss: 2.0032 2022/06/28 05:47:29 - mmengine - INFO - Epoch(train) [33][2580/3757] lr: 1.000e-02 eta: 18:38:21 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.5750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1795 loss: 2.1795 2022/06/28 05:47:35 - mmengine - INFO - Epoch(train) [33][2600/3757] lr: 1.000e-02 eta: 18:38:17 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.9816 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1075 loss: 2.1075 2022/06/28 05:47:40 - mmengine - INFO - Epoch(train) [33][2620/3757] lr: 1.000e-02 eta: 18:38:12 time: 0.698 data_time: 0.007 memory: 5150 grad_norm: 5.2867 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/06/28 05:47:46 - mmengine - INFO - Epoch(train) [33][2640/3757] lr: 1.000e-02 eta: 18:38:06 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 5.5763 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4096 loss: 2.4096 2022/06/28 05:47:51 - mmengine - INFO - Epoch(train) [33][2660/3757] lr: 1.000e-02 eta: 18:38:01 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6038 loss: 1.6038 2022/06/28 05:47:56 - mmengine - INFO - Epoch(train) [33][2680/3757] lr: 1.000e-02 eta: 18:37:55 time: 0.680 data_time: 0.035 memory: 5150 grad_norm: 6.4500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6255 loss: 1.6255 2022/06/28 05:48:01 - mmengine - INFO - Epoch(train) [33][2700/3757] lr: 1.000e-02 eta: 18:37:49 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8888 loss: 1.8888 2022/06/28 05:48:07 - mmengine - INFO - Epoch(train) [33][2720/3757] lr: 1.000e-02 eta: 18:37:46 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9404 loss: 1.9404 2022/06/28 05:48:12 - mmengine - INFO - Epoch(train) [33][2740/3757] lr: 1.000e-02 eta: 18:37:39 time: 0.618 data_time: 0.007 memory: 5150 grad_norm: 5.0839 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3377 loss: 2.3377 2022/06/28 05:48:17 - mmengine - INFO - Epoch(train) [33][2760/3757] lr: 1.000e-02 eta: 18:37:32 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.8730 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1489 loss: 2.1489 2022/06/28 05:48:21 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:48:22 - mmengine - INFO - Epoch(train) [33][2780/3757] lr: 1.000e-02 eta: 18:37:28 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.2264 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3474 loss: 2.3474 2022/06/28 05:48:27 - mmengine - INFO - Epoch(train) [33][2800/3757] lr: 1.000e-02 eta: 18:37:22 time: 0.524 data_time: 0.007 memory: 5150 grad_norm: 6.3608 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3200 loss: 2.3200 2022/06/28 05:48:33 - mmengine - INFO - Epoch(train) [33][2820/3757] lr: 1.000e-02 eta: 18:37:17 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.7549 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8032 loss: 1.8032 2022/06/28 05:48:38 - mmengine - INFO - Epoch(train) [33][2840/3757] lr: 1.000e-02 eta: 18:37:11 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 5.7102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8524 loss: 1.8524 2022/06/28 05:48:44 - mmengine - INFO - Epoch(train) [33][2860/3757] lr: 1.000e-02 eta: 18:37:06 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.3795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1315 loss: 2.1315 2022/06/28 05:48:48 - mmengine - INFO - Epoch(train) [33][2880/3757] lr: 1.000e-02 eta: 18:37:00 time: 0.632 data_time: 0.007 memory: 5150 grad_norm: 5.6896 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3314 loss: 2.3314 2022/06/28 05:48:54 - mmengine - INFO - Epoch(train) [33][2900/3757] lr: 1.000e-02 eta: 18:36:55 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1074 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8191 loss: 1.8191 2022/06/28 05:48:59 - mmengine - INFO - Epoch(train) [33][2920/3757] lr: 1.000e-02 eta: 18:36:51 time: 0.221 data_time: 0.016 memory: 5150 grad_norm: 5.4148 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0806 loss: 2.0806 2022/06/28 05:49:05 - mmengine - INFO - Epoch(train) [33][2940/3757] lr: 1.000e-02 eta: 18:36:45 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.4934 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8488 loss: 1.8488 2022/06/28 05:49:10 - mmengine - INFO - Epoch(train) [33][2960/3757] lr: 1.000e-02 eta: 18:36:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7501 loss: 1.7501 2022/06/28 05:49:16 - mmengine - INFO - Epoch(train) [33][2980/3757] lr: 1.000e-02 eta: 18:36:35 time: 0.402 data_time: 0.010 memory: 5150 grad_norm: 5.1964 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1374 loss: 2.1374 2022/06/28 05:49:21 - mmengine - INFO - Epoch(train) [33][3000/3757] lr: 1.000e-02 eta: 18:36:29 time: 0.216 data_time: 0.006 memory: 5150 grad_norm: 5.7054 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1792 loss: 2.1792 2022/06/28 05:49:26 - mmengine - INFO - Epoch(train) [33][3020/3757] lr: 1.000e-02 eta: 18:36:25 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4193 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/06/28 05:49:32 - mmengine - INFO - Epoch(train) [33][3040/3757] lr: 1.000e-02 eta: 18:36:20 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1179 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0026 loss: 2.0026 2022/06/28 05:49:37 - mmengine - INFO - Epoch(train) [33][3060/3757] lr: 1.000e-02 eta: 18:36:14 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7128 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0360 loss: 2.0360 2022/06/28 05:49:42 - mmengine - INFO - Epoch(train) [33][3080/3757] lr: 1.000e-02 eta: 18:36:09 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.4292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1060 loss: 2.1060 2022/06/28 05:49:47 - mmengine - INFO - Epoch(train) [33][3100/3757] lr: 1.000e-02 eta: 18:36:03 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.9197 top1_acc: 0.0000 top5_acc: 0.6250 loss_cls: 2.2286 loss: 2.2286 2022/06/28 05:49:53 - mmengine - INFO - Epoch(train) [33][3120/3757] lr: 1.000e-02 eta: 18:35:58 time: 0.313 data_time: 0.007 memory: 5150 grad_norm: 5.0321 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9927 loss: 1.9927 2022/06/28 05:49:58 - mmengine - INFO - Epoch(train) [33][3140/3757] lr: 1.000e-02 eta: 18:35:53 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 5.3211 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9383 loss: 1.9383 2022/06/28 05:50:04 - mmengine - INFO - Epoch(train) [33][3160/3757] lr: 1.000e-02 eta: 18:35:48 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.0787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7792 loss: 2.7792 2022/06/28 05:50:09 - mmengine - INFO - Epoch(train) [33][3180/3757] lr: 1.000e-02 eta: 18:35:43 time: 0.400 data_time: 0.008 memory: 5150 grad_norm: 5.8897 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1187 loss: 2.1187 2022/06/28 05:50:14 - mmengine - INFO - Epoch(train) [33][3200/3757] lr: 1.000e-02 eta: 18:35:37 time: 0.263 data_time: 0.008 memory: 5150 grad_norm: 6.3244 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1140 loss: 2.1140 2022/06/28 05:50:20 - mmengine - INFO - Epoch(train) [33][3220/3757] lr: 1.000e-02 eta: 18:35:32 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 5.6578 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9167 loss: 1.9167 2022/06/28 05:50:25 - mmengine - INFO - Epoch(train) [33][3240/3757] lr: 1.000e-02 eta: 18:35:27 time: 0.334 data_time: 0.008 memory: 5150 grad_norm: 5.1766 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2703 loss: 2.2703 2022/06/28 05:50:30 - mmengine - INFO - Epoch(train) [33][3260/3757] lr: 1.000e-02 eta: 18:35:21 time: 0.413 data_time: 0.006 memory: 5150 grad_norm: 5.9552 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2601 loss: 2.2601 2022/06/28 05:50:36 - mmengine - INFO - Epoch(train) [33][3280/3757] lr: 1.000e-02 eta: 18:35:16 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 5.4808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8126 loss: 1.8126 2022/06/28 05:50:42 - mmengine - INFO - Epoch(train) [33][3300/3757] lr: 1.000e-02 eta: 18:35:12 time: 0.760 data_time: 0.007 memory: 5150 grad_norm: 5.3533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1101 loss: 2.1101 2022/06/28 05:50:47 - mmengine - INFO - Epoch(train) [33][3320/3757] lr: 1.000e-02 eta: 18:35:06 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.9622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2598 loss: 2.2598 2022/06/28 05:50:52 - mmengine - INFO - Epoch(train) [33][3340/3757] lr: 1.000e-02 eta: 18:35:00 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 5.2700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8598 loss: 1.8598 2022/06/28 05:50:57 - mmengine - INFO - Epoch(train) [33][3360/3757] lr: 1.000e-02 eta: 18:34:54 time: 0.327 data_time: 0.007 memory: 5150 grad_norm: 6.1202 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0258 loss: 2.0258 2022/06/28 05:51:02 - mmengine - INFO - Epoch(train) [33][3380/3757] lr: 1.000e-02 eta: 18:34:49 time: 0.496 data_time: 0.008 memory: 5150 grad_norm: 5.9361 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.2480 loss: 2.2480 2022/06/28 05:51:08 - mmengine - INFO - Epoch(train) [33][3400/3757] lr: 1.000e-02 eta: 18:34:45 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.1748 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3345 loss: 2.3345 2022/06/28 05:51:12 - mmengine - INFO - Epoch(train) [33][3420/3757] lr: 1.000e-02 eta: 18:34:38 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.4636 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9310 loss: 1.9310 2022/06/28 05:51:18 - mmengine - INFO - Epoch(train) [33][3440/3757] lr: 1.000e-02 eta: 18:34:34 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.1504 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9680 loss: 1.9680 2022/06/28 05:51:24 - mmengine - INFO - Epoch(train) [33][3460/3757] lr: 1.000e-02 eta: 18:34:29 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0749 loss: 2.0749 2022/06/28 05:51:29 - mmengine - INFO - Epoch(train) [33][3480/3757] lr: 1.000e-02 eta: 18:34:22 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.1461 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8347 loss: 1.8347 2022/06/28 05:51:34 - mmengine - INFO - Epoch(train) [33][3500/3757] lr: 1.000e-02 eta: 18:34:18 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9092 loss: 1.9092 2022/06/28 05:51:39 - mmengine - INFO - Epoch(train) [33][3520/3757] lr: 1.000e-02 eta: 18:34:12 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.8935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9193 loss: 1.9193 2022/06/28 05:51:45 - mmengine - INFO - Epoch(train) [33][3540/3757] lr: 1.000e-02 eta: 18:34:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3530 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4182 loss: 2.4182 2022/06/28 05:51:50 - mmengine - INFO - Epoch(train) [33][3560/3757] lr: 1.000e-02 eta: 18:34:02 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.3714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7351 loss: 1.7351 2022/06/28 05:51:56 - mmengine - INFO - Epoch(train) [33][3580/3757] lr: 1.000e-02 eta: 18:33:57 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 5.4508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2708 loss: 2.2708 2022/06/28 05:52:01 - mmengine - INFO - Epoch(train) [33][3600/3757] lr: 1.000e-02 eta: 18:33:52 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8358 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0949 loss: 2.0949 2022/06/28 05:52:07 - mmengine - INFO - Epoch(train) [33][3620/3757] lr: 1.000e-02 eta: 18:33:47 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9284 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 2.2028 loss: 2.2028 2022/06/28 05:52:12 - mmengine - INFO - Epoch(train) [33][3640/3757] lr: 1.000e-02 eta: 18:33:42 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9783 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1502 loss: 2.1502 2022/06/28 05:52:18 - mmengine - INFO - Epoch(train) [33][3660/3757] lr: 1.000e-02 eta: 18:33:37 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.0606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0041 loss: 2.0041 2022/06/28 05:52:23 - mmengine - INFO - Epoch(train) [33][3680/3757] lr: 1.000e-02 eta: 18:33:32 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.5707 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2030 loss: 2.2030 2022/06/28 05:52:28 - mmengine - INFO - Epoch(train) [33][3700/3757] lr: 1.000e-02 eta: 18:33:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3300 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9212 loss: 1.9212 2022/06/28 05:52:33 - mmengine - INFO - Epoch(train) [33][3720/3757] lr: 1.000e-02 eta: 18:33:21 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2298 loss: 2.2298 2022/06/28 05:52:39 - mmengine - INFO - Epoch(train) [33][3740/3757] lr: 1.000e-02 eta: 18:33:15 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.3334 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9821 loss: 1.9821 2022/06/28 05:52:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:53:15 - mmengine - INFO - Epoch(val) [33][20/310] eta: 0:05:50 time: 1.075 data_time: 0.425 memory: 9746 2022/06/28 05:53:38 - mmengine - INFO - Epoch(val) [33][40/310] eta: 0:04:47 time: 0.963 data_time: 0.313 memory: 9746 2022/06/28 05:54:01 - mmengine - INFO - Epoch(val) [33][60/310] eta: 0:04:19 time: 1.013 data_time: 0.399 memory: 9746 2022/06/28 05:54:24 - mmengine - INFO - Epoch(val) [33][80/310] eta: 0:04:17 time: 0.985 data_time: 0.333 memory: 9746 2022/06/28 05:54:47 - mmengine - INFO - Epoch(val) [33][100/310] eta: 0:04:03 time: 1.324 data_time: 0.665 memory: 9746 2022/06/28 05:55:08 - mmengine - INFO - Epoch(val) [33][120/310] eta: 0:03:14 time: 1.052 data_time: 0.397 memory: 9746 2022/06/28 05:55:33 - mmengine - INFO - Epoch(val) [33][140/310] eta: 0:03:19 time: 1.110 data_time: 0.485 memory: 9746 2022/06/28 05:55:57 - mmengine - INFO - Epoch(val) [33][160/310] eta: 0:03:15 time: 2.907 data_time: 2.218 memory: 9746 2022/06/28 05:56:21 - mmengine - INFO - Epoch(val) [33][180/310] eta: 0:02:47 time: 1.067 data_time: 0.424 memory: 9746 2022/06/28 05:56:42 - mmengine - INFO - Epoch(val) [33][200/310] eta: 0:02:01 time: 0.968 data_time: 0.309 memory: 9746 2022/06/28 05:57:05 - mmengine - INFO - Epoch(val) [33][220/310] eta: 0:01:40 time: 1.180 data_time: 0.525 memory: 9746 2022/06/28 05:57:26 - mmengine - INFO - Epoch(val) [33][240/310] eta: 0:01:13 time: 0.998 data_time: 0.350 memory: 9746 2022/06/28 05:57:49 - mmengine - INFO - Epoch(val) [33][260/310] eta: 0:00:58 time: 0.938 data_time: 0.289 memory: 9746 2022/06/28 05:58:13 - mmengine - INFO - Epoch(val) [33][280/310] eta: 0:00:34 time: 1.894 data_time: 1.242 memory: 9746 2022/06/28 05:58:32 - mmengine - INFO - Epoch(val) [33][300/310] eta: 0:00:08 time: 0.632 data_time: 0.068 memory: 9746 2022/06/28 05:58:43 - mmengine - INFO - Epoch(val) [33][310/310] acc/top1: 0.6013 acc/top5: 0.8312 acc/mean1: 0.6012 2022/06/28 05:58:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 05:58:52 - mmengine - INFO - Epoch(train) [34][20/3757] lr: 1.000e-02 eta: 18:33:06 time: 0.199 data_time: 0.007 memory: 9746 grad_norm: 6.0897 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0986 loss: 2.0986 2022/06/28 05:58:57 - mmengine - INFO - Epoch(train) [34][40/3757] lr: 1.000e-02 eta: 18:33:02 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 6.0064 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4664 loss: 1.4664 2022/06/28 05:59:02 - mmengine - INFO - Epoch(train) [34][60/3757] lr: 1.000e-02 eta: 18:32:56 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5310 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0885 loss: 2.0885 2022/06/28 05:59:08 - mmengine - INFO - Epoch(train) [34][80/3757] lr: 1.000e-02 eta: 18:32:51 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.2709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0508 loss: 2.0508 2022/06/28 05:59:14 - mmengine - INFO - Epoch(train) [34][100/3757] lr: 1.000e-02 eta: 18:32:47 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.6023 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9129 loss: 1.9129 2022/06/28 05:59:19 - mmengine - INFO - Epoch(train) [34][120/3757] lr: 1.000e-02 eta: 18:32:40 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.5051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1766 loss: 2.1766 2022/06/28 05:59:24 - mmengine - INFO - Epoch(train) [34][140/3757] lr: 1.000e-02 eta: 18:32:35 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6200 loss: 2.6200 2022/06/28 05:59:30 - mmengine - INFO - Epoch(train) [34][160/3757] lr: 1.000e-02 eta: 18:32:31 time: 0.196 data_time: 0.022 memory: 5150 grad_norm: 4.9391 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1285 loss: 2.1285 2022/06/28 05:59:35 - mmengine - INFO - Epoch(train) [34][180/3757] lr: 1.000e-02 eta: 18:32:25 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.8297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9072 loss: 1.9072 2022/06/28 05:59:40 - mmengine - INFO - Epoch(train) [34][200/3757] lr: 1.000e-02 eta: 18:32:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.3753 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9683 loss: 1.9683 2022/06/28 05:59:46 - mmengine - INFO - Epoch(train) [34][220/3757] lr: 1.000e-02 eta: 18:32:16 time: 0.203 data_time: 0.026 memory: 5150 grad_norm: 5.9313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6761 loss: 1.6761 2022/06/28 05:59:51 - mmengine - INFO - Epoch(train) [34][240/3757] lr: 1.000e-02 eta: 18:32:10 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1039 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1269 loss: 2.1269 2022/06/28 05:59:57 - mmengine - INFO - Epoch(train) [34][260/3757] lr: 1.000e-02 eta: 18:32:06 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.9506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8786 loss: 1.8786 2022/06/28 06:00:05 - mmengine - INFO - Epoch(train) [34][280/3757] lr: 1.000e-02 eta: 18:32:06 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 4.9041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4771 loss: 1.4771 2022/06/28 06:00:09 - mmengine - INFO - Epoch(train) [34][300/3757] lr: 1.000e-02 eta: 18:31:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1119 loss: 2.1119 2022/06/28 06:00:13 - mmengine - INFO - Epoch(train) [34][320/3757] lr: 1.000e-02 eta: 18:31:50 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 5.7089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9961 loss: 1.9961 2022/06/28 06:00:17 - mmengine - INFO - Epoch(train) [34][340/3757] lr: 1.000e-02 eta: 18:31:42 time: 0.239 data_time: 0.010 memory: 5150 grad_norm: 6.0743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1448 loss: 2.1448 2022/06/28 06:00:23 - mmengine - INFO - Epoch(train) [34][360/3757] lr: 1.000e-02 eta: 18:31:38 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0223 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3173 loss: 2.3173 2022/06/28 06:00:29 - mmengine - INFO - Epoch(train) [34][380/3757] lr: 1.000e-02 eta: 18:31:33 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.5174 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8080 loss: 1.8080 2022/06/28 06:00:34 - mmengine - INFO - Epoch(train) [34][400/3757] lr: 1.000e-02 eta: 18:31:28 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 5.0064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0566 loss: 2.0566 2022/06/28 06:00:40 - mmengine - INFO - Epoch(train) [34][420/3757] lr: 1.000e-02 eta: 18:31:24 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.9291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3482 loss: 2.3482 2022/06/28 06:00:45 - mmengine - INFO - Epoch(train) [34][440/3757] lr: 1.000e-02 eta: 18:31:18 time: 0.565 data_time: 0.012 memory: 5150 grad_norm: 5.3498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4902 loss: 1.4902 2022/06/28 06:00:50 - mmengine - INFO - Epoch(train) [34][460/3757] lr: 1.000e-02 eta: 18:31:13 time: 0.200 data_time: 0.022 memory: 5150 grad_norm: 5.8171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1840 loss: 2.1840 2022/06/28 06:00:56 - mmengine - INFO - Epoch(train) [34][480/3757] lr: 1.000e-02 eta: 18:31:09 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.8646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.1859 loss: 2.1859 2022/06/28 06:01:02 - mmengine - INFO - Epoch(train) [34][500/3757] lr: 1.000e-02 eta: 18:31:04 time: 0.869 data_time: 0.013 memory: 5150 grad_norm: 5.4969 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.3320 loss: 2.3320 2022/06/28 06:01:07 - mmengine - INFO - Epoch(train) [34][520/3757] lr: 1.000e-02 eta: 18:30:58 time: 0.234 data_time: 0.039 memory: 5150 grad_norm: 5.8761 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4182 loss: 2.4182 2022/06/28 06:01:13 - mmengine - INFO - Epoch(train) [34][540/3757] lr: 1.000e-02 eta: 18:30:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1298 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6332 loss: 1.6332 2022/06/28 06:01:18 - mmengine - INFO - Epoch(train) [34][560/3757] lr: 1.000e-02 eta: 18:30:49 time: 1.040 data_time: 0.014 memory: 5150 grad_norm: 5.5347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2262 loss: 2.2262 2022/06/28 06:01:24 - mmengine - INFO - Epoch(train) [34][580/3757] lr: 1.000e-02 eta: 18:30:44 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4145 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7029 loss: 1.7029 2022/06/28 06:01:29 - mmengine - INFO - Epoch(train) [34][600/3757] lr: 1.000e-02 eta: 18:30:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9832 loss: 1.9832 2022/06/28 06:01:34 - mmengine - INFO - Epoch(train) [34][620/3757] lr: 1.000e-02 eta: 18:30:33 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.4532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0152 loss: 2.0152 2022/06/28 06:01:40 - mmengine - INFO - Epoch(train) [34][640/3757] lr: 1.000e-02 eta: 18:30:28 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3234 loss: 2.3234 2022/06/28 06:01:45 - mmengine - INFO - Epoch(train) [34][660/3757] lr: 1.000e-02 eta: 18:30:23 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6195 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3335 loss: 2.3335 2022/06/28 06:01:50 - mmengine - INFO - Epoch(train) [34][680/3757] lr: 1.000e-02 eta: 18:30:16 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.5778 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3741 loss: 2.3741 2022/06/28 06:01:56 - mmengine - INFO - Epoch(train) [34][700/3757] lr: 1.000e-02 eta: 18:30:12 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5844 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7717 loss: 1.7717 2022/06/28 06:02:01 - mmengine - INFO - Epoch(train) [34][720/3757] lr: 1.000e-02 eta: 18:30:06 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.2957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2172 loss: 2.2172 2022/06/28 06:02:06 - mmengine - INFO - Epoch(train) [34][740/3757] lr: 1.000e-02 eta: 18:30:01 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.6390 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7021 loss: 1.7021 2022/06/28 06:02:12 - mmengine - INFO - Epoch(train) [34][760/3757] lr: 1.000e-02 eta: 18:29:56 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.1552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9930 loss: 1.9930 2022/06/28 06:02:17 - mmengine - INFO - Epoch(train) [34][780/3757] lr: 1.000e-02 eta: 18:29:52 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.1644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6923 loss: 1.6923 2022/06/28 06:02:23 - mmengine - INFO - Epoch(train) [34][800/3757] lr: 1.000e-02 eta: 18:29:46 time: 0.229 data_time: 0.013 memory: 5150 grad_norm: 4.8584 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7219 loss: 1.7219 2022/06/28 06:02:29 - mmengine - INFO - Epoch(train) [34][820/3757] lr: 1.000e-02 eta: 18:29:42 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 5.9744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9171 loss: 1.9171 2022/06/28 06:02:33 - mmengine - INFO - Epoch(train) [34][840/3757] lr: 1.000e-02 eta: 18:29:35 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6915 loss: 1.6915 2022/06/28 06:02:37 - mmengine - INFO - Epoch(train) [34][860/3757] lr: 1.000e-02 eta: 18:29:28 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 5.7126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1954 loss: 2.1954 2022/06/28 06:02:43 - mmengine - INFO - Epoch(train) [34][880/3757] lr: 1.000e-02 eta: 18:29:23 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.3466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6002 loss: 1.6002 2022/06/28 06:02:49 - mmengine - INFO - Epoch(train) [34][900/3757] lr: 1.000e-02 eta: 18:29:19 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7847 loss: 1.7847 2022/06/28 06:02:54 - mmengine - INFO - Epoch(train) [34][920/3757] lr: 1.000e-02 eta: 18:29:13 time: 0.199 data_time: 0.027 memory: 5150 grad_norm: 6.4721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7383 loss: 1.7383 2022/06/28 06:02:59 - mmengine - INFO - Epoch(train) [34][940/3757] lr: 1.000e-02 eta: 18:29:08 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.1285 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9154 loss: 1.9154 2022/06/28 06:03:05 - mmengine - INFO - Epoch(train) [34][960/3757] lr: 1.000e-02 eta: 18:29:04 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.1914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8633 loss: 1.8633 2022/06/28 06:03:10 - mmengine - INFO - Epoch(train) [34][980/3757] lr: 1.000e-02 eta: 18:28:57 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 6.2431 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2686 loss: 2.2686 2022/06/28 06:03:16 - mmengine - INFO - Epoch(train) [34][1000/3757] lr: 1.000e-02 eta: 18:28:53 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.9773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7020 loss: 1.7020 2022/06/28 06:03:21 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:03:21 - mmengine - INFO - Epoch(train) [34][1020/3757] lr: 1.000e-02 eta: 18:28:47 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.6966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9974 loss: 1.9974 2022/06/28 06:03:26 - mmengine - INFO - Epoch(train) [34][1040/3757] lr: 1.000e-02 eta: 18:28:42 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.5742 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0537 loss: 2.0537 2022/06/28 06:03:31 - mmengine - INFO - Epoch(train) [34][1060/3757] lr: 1.000e-02 eta: 18:28:37 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1858 loss: 2.1858 2022/06/28 06:03:37 - mmengine - INFO - Epoch(train) [34][1080/3757] lr: 1.000e-02 eta: 18:28:32 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.3621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7007 loss: 1.7007 2022/06/28 06:03:42 - mmengine - INFO - Epoch(train) [34][1100/3757] lr: 1.000e-02 eta: 18:28:25 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.0463 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0260 loss: 2.0260 2022/06/28 06:03:47 - mmengine - INFO - Epoch(train) [34][1120/3757] lr: 1.000e-02 eta: 18:28:21 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.7318 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3164 loss: 2.3164 2022/06/28 06:03:53 - mmengine - INFO - Epoch(train) [34][1140/3757] lr: 1.000e-02 eta: 18:28:16 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.4890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0834 loss: 2.0834 2022/06/28 06:03:58 - mmengine - INFO - Epoch(train) [34][1160/3757] lr: 1.000e-02 eta: 18:28:10 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.6069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1755 loss: 2.1755 2022/06/28 06:04:04 - mmengine - INFO - Epoch(train) [34][1180/3757] lr: 1.000e-02 eta: 18:28:06 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.4868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5844 loss: 2.5844 2022/06/28 06:04:09 - mmengine - INFO - Epoch(train) [34][1200/3757] lr: 1.000e-02 eta: 18:28:00 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.1121 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8305 loss: 1.8305 2022/06/28 06:04:14 - mmengine - INFO - Epoch(train) [34][1220/3757] lr: 1.000e-02 eta: 18:27:55 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.7636 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2524 loss: 2.2524 2022/06/28 06:04:20 - mmengine - INFO - Epoch(train) [34][1240/3757] lr: 1.000e-02 eta: 18:27:50 time: 0.220 data_time: 0.014 memory: 5150 grad_norm: 6.1350 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1293 loss: 2.1293 2022/06/28 06:04:25 - mmengine - INFO - Epoch(train) [34][1260/3757] lr: 1.000e-02 eta: 18:27:44 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 4.9309 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6196 loss: 1.6196 2022/06/28 06:04:30 - mmengine - INFO - Epoch(train) [34][1280/3757] lr: 1.000e-02 eta: 18:27:38 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 6.5682 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7274 loss: 1.7274 2022/06/28 06:04:35 - mmengine - INFO - Epoch(train) [34][1300/3757] lr: 1.000e-02 eta: 18:27:33 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.8263 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7719 loss: 1.7719 2022/06/28 06:04:41 - mmengine - INFO - Epoch(train) [34][1320/3757] lr: 1.000e-02 eta: 18:27:28 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.0415 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0296 loss: 2.0296 2022/06/28 06:04:46 - mmengine - INFO - Epoch(train) [34][1340/3757] lr: 1.000e-02 eta: 18:27:23 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.5363 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7912 loss: 1.7912 2022/06/28 06:04:51 - mmengine - INFO - Epoch(train) [34][1360/3757] lr: 1.000e-02 eta: 18:27:17 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 4.6931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3346 loss: 2.3346 2022/06/28 06:04:57 - mmengine - INFO - Epoch(train) [34][1380/3757] lr: 1.000e-02 eta: 18:27:13 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.8838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0648 loss: 2.0648 2022/06/28 06:05:02 - mmengine - INFO - Epoch(train) [34][1400/3757] lr: 1.000e-02 eta: 18:27:06 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 5.7199 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3886 loss: 2.3886 2022/06/28 06:05:08 - mmengine - INFO - Epoch(train) [34][1420/3757] lr: 1.000e-02 eta: 18:27:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7608 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6931 loss: 1.6931 2022/06/28 06:05:13 - mmengine - INFO - Epoch(train) [34][1440/3757] lr: 1.000e-02 eta: 18:26:57 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 5.6196 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5532 loss: 1.5532 2022/06/28 06:05:18 - mmengine - INFO - Epoch(train) [34][1460/3757] lr: 1.000e-02 eta: 18:26:51 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8453 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9045 loss: 1.9045 2022/06/28 06:05:23 - mmengine - INFO - Epoch(train) [34][1480/3757] lr: 1.000e-02 eta: 18:26:46 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.0091 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9407 loss: 1.9407 2022/06/28 06:05:29 - mmengine - INFO - Epoch(train) [34][1500/3757] lr: 1.000e-02 eta: 18:26:40 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.0214 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1394 loss: 2.1394 2022/06/28 06:05:34 - mmengine - INFO - Epoch(train) [34][1520/3757] lr: 1.000e-02 eta: 18:26:35 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.6041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9637 loss: 1.9637 2022/06/28 06:05:39 - mmengine - INFO - Epoch(train) [34][1540/3757] lr: 1.000e-02 eta: 18:26:30 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.2035 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0151 loss: 2.0151 2022/06/28 06:05:45 - mmengine - INFO - Epoch(train) [34][1560/3757] lr: 1.000e-02 eta: 18:26:25 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4430 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9305 loss: 1.9305 2022/06/28 06:05:50 - mmengine - INFO - Epoch(train) [34][1580/3757] lr: 1.000e-02 eta: 18:26:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7322 loss: 1.7322 2022/06/28 06:05:56 - mmengine - INFO - Epoch(train) [34][1600/3757] lr: 1.000e-02 eta: 18:26:15 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.9790 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2714 loss: 2.2714 2022/06/28 06:06:01 - mmengine - INFO - Epoch(train) [34][1620/3757] lr: 1.000e-02 eta: 18:26:09 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8690 loss: 1.8690 2022/06/28 06:06:05 - mmengine - INFO - Epoch(train) [34][1640/3757] lr: 1.000e-02 eta: 18:26:03 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1464 loss: 2.1464 2022/06/28 06:06:11 - mmengine - INFO - Epoch(train) [34][1660/3757] lr: 1.000e-02 eta: 18:25:58 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.7707 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8626 loss: 1.8626 2022/06/28 06:06:17 - mmengine - INFO - Epoch(train) [34][1680/3757] lr: 1.000e-02 eta: 18:25:53 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.9287 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/06/28 06:06:22 - mmengine - INFO - Epoch(train) [34][1700/3757] lr: 1.000e-02 eta: 18:25:48 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.1961 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0238 loss: 2.0238 2022/06/28 06:06:27 - mmengine - INFO - Epoch(train) [34][1720/3757] lr: 1.000e-02 eta: 18:25:42 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0861 loss: 2.0861 2022/06/28 06:06:33 - mmengine - INFO - Epoch(train) [34][1740/3757] lr: 1.000e-02 eta: 18:25:37 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.6603 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8333 loss: 1.8333 2022/06/28 06:06:38 - mmengine - INFO - Epoch(train) [34][1760/3757] lr: 1.000e-02 eta: 18:25:32 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.9368 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0672 loss: 2.0672 2022/06/28 06:06:44 - mmengine - INFO - Epoch(train) [34][1780/3757] lr: 1.000e-02 eta: 18:25:27 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.0280 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0048 loss: 2.0048 2022/06/28 06:06:49 - mmengine - INFO - Epoch(train) [34][1800/3757] lr: 1.000e-02 eta: 18:25:23 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.4852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6140 loss: 1.6140 2022/06/28 06:06:54 - mmengine - INFO - Epoch(train) [34][1820/3757] lr: 1.000e-02 eta: 18:25:17 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 5.3820 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0816 loss: 2.0816 2022/06/28 06:07:00 - mmengine - INFO - Epoch(train) [34][1840/3757] lr: 1.000e-02 eta: 18:25:11 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9395 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.0495 loss: 2.0495 2022/06/28 06:07:05 - mmengine - INFO - Epoch(train) [34][1860/3757] lr: 1.000e-02 eta: 18:25:06 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 5.0125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0250 loss: 2.0250 2022/06/28 06:07:10 - mmengine - INFO - Epoch(train) [34][1880/3757] lr: 1.000e-02 eta: 18:25:00 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.6512 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/06/28 06:07:16 - mmengine - INFO - Epoch(train) [34][1900/3757] lr: 1.000e-02 eta: 18:24:56 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9142 loss: 1.9142 2022/06/28 06:07:22 - mmengine - INFO - Epoch(train) [34][1920/3757] lr: 1.000e-02 eta: 18:24:52 time: 0.202 data_time: 0.029 memory: 5150 grad_norm: 4.6195 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2329 loss: 2.2329 2022/06/28 06:07:26 - mmengine - INFO - Epoch(train) [34][1940/3757] lr: 1.000e-02 eta: 18:24:44 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 4.4020 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0625 loss: 2.0625 2022/06/28 06:07:31 - mmengine - INFO - Epoch(train) [34][1960/3757] lr: 1.000e-02 eta: 18:24:38 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.2664 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2230 loss: 2.2230 2022/06/28 06:07:37 - mmengine - INFO - Epoch(train) [34][1980/3757] lr: 1.000e-02 eta: 18:24:34 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 6.6378 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9355 loss: 1.9355 2022/06/28 06:07:42 - mmengine - INFO - Epoch(train) [34][2000/3757] lr: 1.000e-02 eta: 18:24:28 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 5.2774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9297 loss: 1.9297 2022/06/28 06:07:47 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:07:47 - mmengine - INFO - Epoch(train) [34][2020/3757] lr: 1.000e-02 eta: 18:24:23 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.7039 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5027 loss: 2.5027 2022/06/28 06:07:53 - mmengine - INFO - Epoch(train) [34][2040/3757] lr: 1.000e-02 eta: 18:24:18 time: 0.212 data_time: 0.023 memory: 5150 grad_norm: 5.9430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0072 loss: 2.0072 2022/06/28 06:07:58 - mmengine - INFO - Epoch(train) [34][2060/3757] lr: 1.000e-02 eta: 18:24:12 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 5.9198 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2470 loss: 2.2470 2022/06/28 06:08:03 - mmengine - INFO - Epoch(train) [34][2080/3757] lr: 1.000e-02 eta: 18:24:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1518 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1563 loss: 2.1563 2022/06/28 06:08:09 - mmengine - INFO - Epoch(train) [34][2100/3757] lr: 1.000e-02 eta: 18:24:02 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 5.9760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0648 loss: 2.0648 2022/06/28 06:08:14 - mmengine - INFO - Epoch(train) [34][2120/3757] lr: 1.000e-02 eta: 18:23:58 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 4.9676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3750 loss: 2.3750 2022/06/28 06:08:19 - mmengine - INFO - Epoch(train) [34][2140/3757] lr: 1.000e-02 eta: 18:23:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1386 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9601 loss: 1.9601 2022/06/28 06:08:25 - mmengine - INFO - Epoch(train) [34][2160/3757] lr: 1.000e-02 eta: 18:23:47 time: 0.211 data_time: 0.023 memory: 5150 grad_norm: 6.1531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/06/28 06:08:30 - mmengine - INFO - Epoch(train) [34][2180/3757] lr: 1.000e-02 eta: 18:23:41 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.0339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9179 loss: 1.9179 2022/06/28 06:08:36 - mmengine - INFO - Epoch(train) [34][2200/3757] lr: 1.000e-02 eta: 18:23:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.1488 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3923 loss: 2.3923 2022/06/28 06:08:41 - mmengine - INFO - Epoch(train) [34][2220/3757] lr: 1.000e-02 eta: 18:23:31 time: 0.206 data_time: 0.025 memory: 5150 grad_norm: 5.8410 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5389 loss: 2.5389 2022/06/28 06:08:47 - mmengine - INFO - Epoch(train) [34][2240/3757] lr: 1.000e-02 eta: 18:23:27 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.9057 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.2065 loss: 2.2065 2022/06/28 06:08:51 - mmengine - INFO - Epoch(train) [34][2260/3757] lr: 1.000e-02 eta: 18:23:20 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.6553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2566 loss: 2.2566 2022/06/28 06:08:57 - mmengine - INFO - Epoch(train) [34][2280/3757] lr: 1.000e-02 eta: 18:23:15 time: 0.211 data_time: 0.021 memory: 5150 grad_norm: 5.1638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6283 loss: 1.6283 2022/06/28 06:09:03 - mmengine - INFO - Epoch(train) [34][2300/3757] lr: 1.000e-02 eta: 18:23:10 time: 0.193 data_time: 0.016 memory: 5150 grad_norm: 5.4413 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8726 loss: 1.8726 2022/06/28 06:09:07 - mmengine - INFO - Epoch(train) [34][2320/3757] lr: 1.000e-02 eta: 18:23:04 time: 0.283 data_time: 0.009 memory: 5150 grad_norm: 5.5444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8778 loss: 1.8778 2022/06/28 06:09:13 - mmengine - INFO - Epoch(train) [34][2340/3757] lr: 1.000e-02 eta: 18:22:59 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 5.9559 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0765 loss: 2.0765 2022/06/28 06:09:19 - mmengine - INFO - Epoch(train) [34][2360/3757] lr: 1.000e-02 eta: 18:22:55 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2260 loss: 2.2260 2022/06/28 06:09:23 - mmengine - INFO - Epoch(train) [34][2380/3757] lr: 1.000e-02 eta: 18:22:48 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 4.8990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1847 loss: 2.1847 2022/06/28 06:09:28 - mmengine - INFO - Epoch(train) [34][2400/3757] lr: 1.000e-02 eta: 18:22:42 time: 0.223 data_time: 0.030 memory: 5150 grad_norm: 5.7373 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7600 loss: 1.7600 2022/06/28 06:09:34 - mmengine - INFO - Epoch(train) [34][2420/3757] lr: 1.000e-02 eta: 18:22:38 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3488 loss: 2.3488 2022/06/28 06:09:39 - mmengine - INFO - Epoch(train) [34][2440/3757] lr: 1.000e-02 eta: 18:22:32 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.1432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0284 loss: 2.0284 2022/06/28 06:09:44 - mmengine - INFO - Epoch(train) [34][2460/3757] lr: 1.000e-02 eta: 18:22:26 time: 0.209 data_time: 0.036 memory: 5150 grad_norm: 5.4721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2331 loss: 2.2331 2022/06/28 06:09:50 - mmengine - INFO - Epoch(train) [34][2480/3757] lr: 1.000e-02 eta: 18:22:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.6079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0188 loss: 2.0188 2022/06/28 06:09:55 - mmengine - INFO - Epoch(train) [34][2500/3757] lr: 1.000e-02 eta: 18:22:15 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.0385 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0082 loss: 2.0082 2022/06/28 06:10:00 - mmengine - INFO - Epoch(train) [34][2520/3757] lr: 1.000e-02 eta: 18:22:11 time: 0.221 data_time: 0.024 memory: 5150 grad_norm: 5.7664 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0544 loss: 2.0544 2022/06/28 06:10:06 - mmengine - INFO - Epoch(train) [34][2540/3757] lr: 1.000e-02 eta: 18:22:07 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 5.6213 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4374 loss: 2.4374 2022/06/28 06:10:11 - mmengine - INFO - Epoch(train) [34][2560/3757] lr: 1.000e-02 eta: 18:22:00 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 5.8758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8946 loss: 1.8946 2022/06/28 06:10:17 - mmengine - INFO - Epoch(train) [34][2580/3757] lr: 1.000e-02 eta: 18:21:56 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8223 loss: 1.8223 2022/06/28 06:10:22 - mmengine - INFO - Epoch(train) [34][2600/3757] lr: 1.000e-02 eta: 18:21:51 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5579 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6931 loss: 1.6931 2022/06/28 06:10:27 - mmengine - INFO - Epoch(train) [34][2620/3757] lr: 1.000e-02 eta: 18:21:45 time: 0.660 data_time: 0.014 memory: 5150 grad_norm: 5.2995 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1301 loss: 2.1301 2022/06/28 06:10:32 - mmengine - INFO - Epoch(train) [34][2640/3757] lr: 1.000e-02 eta: 18:21:39 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.4091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9726 loss: 1.9726 2022/06/28 06:10:38 - mmengine - INFO - Epoch(train) [34][2660/3757] lr: 1.000e-02 eta: 18:21:35 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.6713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8923 loss: 1.8923 2022/06/28 06:10:43 - mmengine - INFO - Epoch(train) [34][2680/3757] lr: 1.000e-02 eta: 18:21:29 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.3153 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6317 loss: 1.6317 2022/06/28 06:10:49 - mmengine - INFO - Epoch(train) [34][2700/3757] lr: 1.000e-02 eta: 18:21:24 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.4634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8295 loss: 1.8295 2022/06/28 06:10:54 - mmengine - INFO - Epoch(train) [34][2720/3757] lr: 1.000e-02 eta: 18:21:20 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3150 loss: 2.3150 2022/06/28 06:10:59 - mmengine - INFO - Epoch(train) [34][2740/3757] lr: 1.000e-02 eta: 18:21:14 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.8057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9791 loss: 1.9791 2022/06/28 06:11:05 - mmengine - INFO - Epoch(train) [34][2760/3757] lr: 1.000e-02 eta: 18:21:09 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.3685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9216 loss: 1.9216 2022/06/28 06:11:10 - mmengine - INFO - Epoch(train) [34][2780/3757] lr: 1.000e-02 eta: 18:21:04 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4175 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1402 loss: 2.1402 2022/06/28 06:11:15 - mmengine - INFO - Epoch(train) [34][2800/3757] lr: 1.000e-02 eta: 18:20:57 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.6261 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.4564 loss: 2.4564 2022/06/28 06:11:21 - mmengine - INFO - Epoch(train) [34][2820/3757] lr: 1.000e-02 eta: 18:20:53 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0219 loss: 2.0219 2022/06/28 06:11:27 - mmengine - INFO - Epoch(train) [34][2840/3757] lr: 1.000e-02 eta: 18:20:48 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 5.5588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8681 loss: 1.8681 2022/06/28 06:11:31 - mmengine - INFO - Epoch(train) [34][2860/3757] lr: 1.000e-02 eta: 18:20:42 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.9961 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3626 loss: 2.3626 2022/06/28 06:11:37 - mmengine - INFO - Epoch(train) [34][2880/3757] lr: 1.000e-02 eta: 18:20:37 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.8582 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9692 loss: 1.9692 2022/06/28 06:11:42 - mmengine - INFO - Epoch(train) [34][2900/3757] lr: 1.000e-02 eta: 18:20:32 time: 0.211 data_time: 0.033 memory: 5150 grad_norm: 5.2354 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.1588 loss: 2.1588 2022/06/28 06:11:47 - mmengine - INFO - Epoch(train) [34][2920/3757] lr: 1.000e-02 eta: 18:20:26 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.6604 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4139 loss: 2.4139 2022/06/28 06:11:53 - mmengine - INFO - Epoch(train) [34][2940/3757] lr: 1.000e-02 eta: 18:20:21 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.5443 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0864 loss: 2.0864 2022/06/28 06:11:59 - mmengine - INFO - Epoch(train) [34][2960/3757] lr: 1.000e-02 eta: 18:20:17 time: 0.213 data_time: 0.038 memory: 5150 grad_norm: 5.2992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/06/28 06:12:03 - mmengine - INFO - Epoch(train) [34][2980/3757] lr: 1.000e-02 eta: 18:20:10 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.3492 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1634 loss: 2.1634 2022/06/28 06:12:09 - mmengine - INFO - Epoch(train) [34][3000/3757] lr: 1.000e-02 eta: 18:20:06 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 5.6227 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5867 loss: 2.5867 2022/06/28 06:12:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:12:15 - mmengine - INFO - Epoch(train) [34][3020/3757] lr: 1.000e-02 eta: 18:20:01 time: 0.216 data_time: 0.035 memory: 5150 grad_norm: 6.7133 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 2.1307 loss: 2.1307 2022/06/28 06:12:20 - mmengine - INFO - Epoch(train) [34][3040/3757] lr: 1.000e-02 eta: 18:19:55 time: 0.225 data_time: 0.014 memory: 5150 grad_norm: 5.3463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0320 loss: 2.0320 2022/06/28 06:12:25 - mmengine - INFO - Epoch(train) [34][3060/3757] lr: 1.000e-02 eta: 18:19:50 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6640 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1808 loss: 2.1808 2022/06/28 06:12:31 - mmengine - INFO - Epoch(train) [34][3080/3757] lr: 1.000e-02 eta: 18:19:45 time: 0.218 data_time: 0.052 memory: 5150 grad_norm: 4.9995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7302 loss: 1.7302 2022/06/28 06:12:35 - mmengine - INFO - Epoch(train) [34][3100/3757] lr: 1.000e-02 eta: 18:19:39 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.0187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8038 loss: 1.8038 2022/06/28 06:12:41 - mmengine - INFO - Epoch(train) [34][3120/3757] lr: 1.000e-02 eta: 18:19:34 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.7067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1003 loss: 2.1003 2022/06/28 06:12:47 - mmengine - INFO - Epoch(train) [34][3140/3757] lr: 1.000e-02 eta: 18:19:29 time: 0.218 data_time: 0.032 memory: 5150 grad_norm: 5.2429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9480 loss: 1.9480 2022/06/28 06:12:52 - mmengine - INFO - Epoch(train) [34][3160/3757] lr: 1.000e-02 eta: 18:19:23 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7850 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2815 loss: 2.2815 2022/06/28 06:12:57 - mmengine - INFO - Epoch(train) [34][3180/3757] lr: 1.000e-02 eta: 18:19:18 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 4.9469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4850 loss: 2.4850 2022/06/28 06:13:03 - mmengine - INFO - Epoch(train) [34][3200/3757] lr: 1.000e-02 eta: 18:19:13 time: 0.208 data_time: 0.034 memory: 5150 grad_norm: 5.1497 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0012 loss: 2.0012 2022/06/28 06:13:07 - mmengine - INFO - Epoch(train) [34][3220/3757] lr: 1.000e-02 eta: 18:19:07 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.8409 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1580 loss: 2.1580 2022/06/28 06:13:13 - mmengine - INFO - Epoch(train) [34][3240/3757] lr: 1.000e-02 eta: 18:19:02 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5770 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4497 loss: 2.4497 2022/06/28 06:13:18 - mmengine - INFO - Epoch(train) [34][3260/3757] lr: 1.000e-02 eta: 18:18:57 time: 0.220 data_time: 0.027 memory: 5150 grad_norm: 5.2015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0183 loss: 2.0183 2022/06/28 06:13:23 - mmengine - INFO - Epoch(train) [34][3280/3757] lr: 1.000e-02 eta: 18:18:51 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9454 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7098 loss: 1.7098 2022/06/28 06:13:29 - mmengine - INFO - Epoch(train) [34][3300/3757] lr: 1.000e-02 eta: 18:18:47 time: 0.929 data_time: 0.016 memory: 5150 grad_norm: 5.7933 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7898 loss: 1.7898 2022/06/28 06:13:34 - mmengine - INFO - Epoch(train) [34][3320/3757] lr: 1.000e-02 eta: 18:18:41 time: 0.193 data_time: 0.018 memory: 5150 grad_norm: 6.9378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7992 loss: 1.7992 2022/06/28 06:13:40 - mmengine - INFO - Epoch(train) [34][3340/3757] lr: 1.000e-02 eta: 18:18:36 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.5582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9712 loss: 1.9712 2022/06/28 06:13:45 - mmengine - INFO - Epoch(train) [34][3360/3757] lr: 1.000e-02 eta: 18:18:31 time: 0.946 data_time: 0.011 memory: 5150 grad_norm: 5.0117 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0603 loss: 2.0603 2022/06/28 06:13:50 - mmengine - INFO - Epoch(train) [34][3380/3757] lr: 1.000e-02 eta: 18:18:25 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 6.2654 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.5977 loss: 2.5977 2022/06/28 06:13:55 - mmengine - INFO - Epoch(train) [34][3400/3757] lr: 1.000e-02 eta: 18:18:19 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5918 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1360 loss: 2.1360 2022/06/28 06:14:01 - mmengine - INFO - Epoch(train) [34][3420/3757] lr: 1.000e-02 eta: 18:18:14 time: 0.695 data_time: 0.018 memory: 5150 grad_norm: 5.9332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2039 loss: 2.2039 2022/06/28 06:14:06 - mmengine - INFO - Epoch(train) [34][3440/3757] lr: 1.000e-02 eta: 18:18:08 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0247 loss: 2.0247 2022/06/28 06:14:11 - mmengine - INFO - Epoch(train) [34][3460/3757] lr: 1.000e-02 eta: 18:18:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.2475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8064 loss: 1.8064 2022/06/28 06:14:16 - mmengine - INFO - Epoch(train) [34][3480/3757] lr: 1.000e-02 eta: 18:17:58 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 6.7121 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7303 loss: 1.7303 2022/06/28 06:14:22 - mmengine - INFO - Epoch(train) [34][3500/3757] lr: 1.000e-02 eta: 18:17:52 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.3594 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9236 loss: 1.9236 2022/06/28 06:14:27 - mmengine - INFO - Epoch(train) [34][3520/3757] lr: 1.000e-02 eta: 18:17:47 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.1301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4538 loss: 1.4538 2022/06/28 06:14:32 - mmengine - INFO - Epoch(train) [34][3540/3757] lr: 1.000e-02 eta: 18:17:41 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.5269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7936 loss: 1.7936 2022/06/28 06:14:38 - mmengine - INFO - Epoch(train) [34][3560/3757] lr: 1.000e-02 eta: 18:17:37 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.8126 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0776 loss: 2.0776 2022/06/28 06:14:43 - mmengine - INFO - Epoch(train) [34][3580/3757] lr: 1.000e-02 eta: 18:17:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3023 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0885 loss: 2.0885 2022/06/28 06:14:49 - mmengine - INFO - Epoch(train) [34][3600/3757] lr: 1.000e-02 eta: 18:17:27 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4257 loss: 2.4257 2022/06/28 06:14:54 - mmengine - INFO - Epoch(train) [34][3620/3757] lr: 1.000e-02 eta: 18:17:21 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.5206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2011 loss: 2.2011 2022/06/28 06:15:00 - mmengine - INFO - Epoch(train) [34][3640/3757] lr: 1.000e-02 eta: 18:17:17 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.5451 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3252 loss: 2.3252 2022/06/28 06:15:05 - mmengine - INFO - Epoch(train) [34][3660/3757] lr: 1.000e-02 eta: 18:17:11 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.0882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2536 loss: 2.2536 2022/06/28 06:15:10 - mmengine - INFO - Epoch(train) [34][3680/3757] lr: 1.000e-02 eta: 18:17:05 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 6.0295 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0578 loss: 2.0578 2022/06/28 06:15:15 - mmengine - INFO - Epoch(train) [34][3700/3757] lr: 1.000e-02 eta: 18:17:00 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.1798 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7943 loss: 1.7943 2022/06/28 06:15:21 - mmengine - INFO - Epoch(train) [34][3720/3757] lr: 1.000e-02 eta: 18:16:56 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.6872 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9176 loss: 1.9176 2022/06/28 06:15:26 - mmengine - INFO - Epoch(train) [34][3740/3757] lr: 1.000e-02 eta: 18:16:51 time: 0.228 data_time: 0.017 memory: 5150 grad_norm: 6.0173 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8935 loss: 1.8935 2022/06/28 06:15:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:16:03 - mmengine - INFO - Epoch(val) [34][20/310] eta: 0:05:31 time: 0.992 data_time: 0.371 memory: 9746 2022/06/28 06:16:25 - mmengine - INFO - Epoch(val) [34][40/310] eta: 0:04:54 time: 1.113 data_time: 0.469 memory: 9746 2022/06/28 06:16:48 - mmengine - INFO - Epoch(val) [34][60/310] eta: 0:04:21 time: 1.045 data_time: 0.417 memory: 9746 2022/06/28 06:17:13 - mmengine - INFO - Epoch(val) [34][80/310] eta: 0:05:15 time: 1.074 data_time: 0.414 memory: 9746 2022/06/28 06:17:37 - mmengine - INFO - Epoch(val) [34][100/310] eta: 0:04:10 time: 2.460 data_time: 1.764 memory: 9746 2022/06/28 06:17:58 - mmengine - INFO - Epoch(val) [34][120/310] eta: 0:03:20 time: 1.130 data_time: 0.485 memory: 9746 2022/06/28 06:18:23 - mmengine - INFO - Epoch(val) [34][140/310] eta: 0:03:21 time: 1.120 data_time: 0.476 memory: 9746 2022/06/28 06:18:47 - mmengine - INFO - Epoch(val) [34][160/310] eta: 0:03:14 time: 3.372 data_time: 2.685 memory: 9746 2022/06/28 06:19:10 - mmengine - INFO - Epoch(val) [34][180/310] eta: 0:02:45 time: 1.110 data_time: 0.448 memory: 9746 2022/06/28 06:19:33 - mmengine - INFO - Epoch(val) [34][200/310] eta: 0:02:11 time: 1.003 data_time: 0.355 memory: 9746 2022/06/28 06:19:55 - mmengine - INFO - Epoch(val) [34][220/310] eta: 0:01:35 time: 1.119 data_time: 0.468 memory: 9746 2022/06/28 06:20:16 - mmengine - INFO - Epoch(val) [34][240/310] eta: 0:01:14 time: 0.979 data_time: 0.339 memory: 9746 2022/06/28 06:20:38 - mmengine - INFO - Epoch(val) [34][260/310] eta: 0:00:57 time: 1.032 data_time: 0.371 memory: 9746 2022/06/28 06:21:01 - mmengine - INFO - Epoch(val) [34][280/310] eta: 0:00:33 time: 1.525 data_time: 0.877 memory: 9746 2022/06/28 06:21:20 - mmengine - INFO - Epoch(val) [34][300/310] eta: 0:00:07 time: 0.652 data_time: 0.077 memory: 9746 2022/06/28 06:21:32 - mmengine - INFO - Epoch(val) [34][310/310] acc/top1: 0.6167 acc/top5: 0.8451 acc/mean1: 0.6166 2022/06/28 06:21:41 - mmengine - INFO - Epoch(train) [35][20/3757] lr: 1.000e-02 eta: 18:16:42 time: 0.197 data_time: 0.007 memory: 9746 grad_norm: 5.2690 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9234 loss: 1.9234 2022/06/28 06:21:46 - mmengine - INFO - Epoch(train) [35][40/3757] lr: 1.000e-02 eta: 18:16:37 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.7628 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1364 loss: 2.1364 2022/06/28 06:21:52 - mmengine - INFO - Epoch(train) [35][60/3757] lr: 1.000e-02 eta: 18:16:32 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.5781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0918 loss: 2.0918 2022/06/28 06:21:57 - mmengine - INFO - Epoch(train) [35][80/3757] lr: 1.000e-02 eta: 18:16:26 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.4156 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3779 loss: 2.3779 2022/06/28 06:22:03 - mmengine - INFO - Epoch(train) [35][100/3757] lr: 1.000e-02 eta: 18:16:22 time: 0.350 data_time: 0.018 memory: 5150 grad_norm: 4.7603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/06/28 06:22:07 - mmengine - INFO - Epoch(train) [35][120/3757] lr: 1.000e-02 eta: 18:16:16 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8869 loss: 1.8869 2022/06/28 06:22:13 - mmengine - INFO - Epoch(train) [35][140/3757] lr: 1.000e-02 eta: 18:16:12 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.0406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8185 loss: 1.8185 2022/06/28 06:22:19 - mmengine - INFO - Epoch(train) [35][160/3757] lr: 1.000e-02 eta: 18:16:07 time: 0.836 data_time: 0.201 memory: 5150 grad_norm: 5.2062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6780 loss: 1.6780 2022/06/28 06:22:23 - mmengine - INFO - Epoch(train) [35][180/3757] lr: 1.000e-02 eta: 18:16:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8532 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8990 loss: 1.8990 2022/06/28 06:22:29 - mmengine - INFO - Epoch(train) [35][200/3757] lr: 1.000e-02 eta: 18:15:56 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.5640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0626 loss: 2.0626 2022/06/28 06:22:35 - mmengine - INFO - Epoch(train) [35][220/3757] lr: 1.000e-02 eta: 18:15:52 time: 0.210 data_time: 0.026 memory: 5150 grad_norm: 5.9898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0311 loss: 2.0311 2022/06/28 06:22:39 - mmengine - INFO - Epoch(train) [35][240/3757] lr: 1.000e-02 eta: 18:15:44 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.9072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1168 loss: 2.1168 2022/06/28 06:22:45 - mmengine - INFO - Epoch(train) [35][260/3757] lr: 1.000e-02 eta: 18:15:40 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.4504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0030 loss: 2.0030 2022/06/28 06:22:46 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:22:51 - mmengine - INFO - Epoch(train) [35][280/3757] lr: 1.000e-02 eta: 18:15:35 time: 0.683 data_time: 0.020 memory: 5150 grad_norm: 5.2347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9796 loss: 1.9796 2022/06/28 06:22:56 - mmengine - INFO - Epoch(train) [35][300/3757] lr: 1.000e-02 eta: 18:15:29 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.4065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2828 loss: 2.2828 2022/06/28 06:23:01 - mmengine - INFO - Epoch(train) [35][320/3757] lr: 1.000e-02 eta: 18:15:24 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2380 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0639 loss: 2.0639 2022/06/28 06:23:07 - mmengine - INFO - Epoch(train) [35][340/3757] lr: 1.000e-02 eta: 18:15:19 time: 0.710 data_time: 0.014 memory: 5150 grad_norm: 6.0027 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8796 loss: 1.8796 2022/06/28 06:23:12 - mmengine - INFO - Epoch(train) [35][360/3757] lr: 1.000e-02 eta: 18:15:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3677 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1081 loss: 2.1081 2022/06/28 06:23:18 - mmengine - INFO - Epoch(train) [35][380/3757] lr: 1.000e-02 eta: 18:15:10 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.8929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8604 loss: 1.8604 2022/06/28 06:23:23 - mmengine - INFO - Epoch(train) [35][400/3757] lr: 1.000e-02 eta: 18:15:04 time: 0.345 data_time: 0.006 memory: 5150 grad_norm: 5.6892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0319 loss: 2.0319 2022/06/28 06:23:29 - mmengine - INFO - Epoch(train) [35][420/3757] lr: 1.000e-02 eta: 18:14:59 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.1805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2340 loss: 2.2340 2022/06/28 06:23:34 - mmengine - INFO - Epoch(train) [35][440/3757] lr: 1.000e-02 eta: 18:14:54 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.4561 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6330 loss: 1.6330 2022/06/28 06:23:39 - mmengine - INFO - Epoch(train) [35][460/3757] lr: 1.000e-02 eta: 18:14:48 time: 0.225 data_time: 0.046 memory: 5150 grad_norm: 5.3082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2917 loss: 2.2917 2022/06/28 06:23:44 - mmengine - INFO - Epoch(train) [35][480/3757] lr: 1.000e-02 eta: 18:14:43 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.2653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9954 loss: 1.9954 2022/06/28 06:23:50 - mmengine - INFO - Epoch(train) [35][500/3757] lr: 1.000e-02 eta: 18:14:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2002 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3755 loss: 2.3755 2022/06/28 06:23:55 - mmengine - INFO - Epoch(train) [35][520/3757] lr: 1.000e-02 eta: 18:14:32 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 5.6928 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2161 loss: 2.2161 2022/06/28 06:24:00 - mmengine - INFO - Epoch(train) [35][540/3757] lr: 1.000e-02 eta: 18:14:26 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.1681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0058 loss: 2.0058 2022/06/28 06:24:05 - mmengine - INFO - Epoch(train) [35][560/3757] lr: 1.000e-02 eta: 18:14:21 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 6.1220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7533 loss: 1.7533 2022/06/28 06:24:11 - mmengine - INFO - Epoch(train) [35][580/3757] lr: 1.000e-02 eta: 18:14:16 time: 0.295 data_time: 0.026 memory: 5150 grad_norm: 5.8350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/06/28 06:24:17 - mmengine - INFO - Epoch(train) [35][600/3757] lr: 1.000e-02 eta: 18:14:12 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 5.7261 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2599 loss: 2.2599 2022/06/28 06:24:22 - mmengine - INFO - Epoch(train) [35][620/3757] lr: 1.000e-02 eta: 18:14:07 time: 1.198 data_time: 0.007 memory: 5150 grad_norm: 5.5118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9505 loss: 1.9505 2022/06/28 06:24:27 - mmengine - INFO - Epoch(train) [35][640/3757] lr: 1.000e-02 eta: 18:14:01 time: 0.225 data_time: 0.013 memory: 5150 grad_norm: 6.3010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8413 loss: 1.8413 2022/06/28 06:24:33 - mmengine - INFO - Epoch(train) [35][660/3757] lr: 1.000e-02 eta: 18:13:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5339 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0321 loss: 2.0321 2022/06/28 06:24:38 - mmengine - INFO - Epoch(train) [35][680/3757] lr: 1.000e-02 eta: 18:13:51 time: 0.909 data_time: 0.007 memory: 5150 grad_norm: 6.4023 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2416 loss: 2.2416 2022/06/28 06:24:43 - mmengine - INFO - Epoch(train) [35][700/3757] lr: 1.000e-02 eta: 18:13:45 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 5.0284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9300 loss: 1.9300 2022/06/28 06:24:49 - mmengine - INFO - Epoch(train) [35][720/3757] lr: 1.000e-02 eta: 18:13:40 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.3744 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8829 loss: 1.8829 2022/06/28 06:24:55 - mmengine - INFO - Epoch(train) [35][740/3757] lr: 1.000e-02 eta: 18:13:37 time: 1.338 data_time: 0.010 memory: 5150 grad_norm: 5.7272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0866 loss: 2.0866 2022/06/28 06:24:59 - mmengine - INFO - Epoch(train) [35][760/3757] lr: 1.000e-02 eta: 18:13:30 time: 0.206 data_time: 0.022 memory: 5150 grad_norm: 5.7824 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1957 loss: 2.1957 2022/06/28 06:25:05 - mmengine - INFO - Epoch(train) [35][780/3757] lr: 1.000e-02 eta: 18:13:25 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.2238 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0831 loss: 2.0831 2022/06/28 06:25:11 - mmengine - INFO - Epoch(train) [35][800/3757] lr: 1.000e-02 eta: 18:13:20 time: 1.043 data_time: 0.010 memory: 5150 grad_norm: 5.4695 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9756 loss: 1.9756 2022/06/28 06:25:16 - mmengine - INFO - Epoch(train) [35][820/3757] lr: 1.000e-02 eta: 18:13:14 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.5682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3376 loss: 2.3376 2022/06/28 06:25:21 - mmengine - INFO - Epoch(train) [35][840/3757] lr: 1.000e-02 eta: 18:13:09 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.4337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8714 loss: 1.8714 2022/06/28 06:25:27 - mmengine - INFO - Epoch(train) [35][860/3757] lr: 1.000e-02 eta: 18:13:04 time: 1.038 data_time: 0.007 memory: 5150 grad_norm: 6.2144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1698 loss: 2.1698 2022/06/28 06:25:32 - mmengine - INFO - Epoch(train) [35][880/3757] lr: 1.000e-02 eta: 18:12:59 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 5.6750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0971 loss: 2.0971 2022/06/28 06:25:37 - mmengine - INFO - Epoch(train) [35][900/3757] lr: 1.000e-02 eta: 18:12:54 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9046 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0587 loss: 2.0587 2022/06/28 06:25:43 - mmengine - INFO - Epoch(train) [35][920/3757] lr: 1.000e-02 eta: 18:12:49 time: 1.164 data_time: 0.014 memory: 5150 grad_norm: 5.9305 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2310 loss: 2.2310 2022/06/28 06:25:48 - mmengine - INFO - Epoch(train) [35][940/3757] lr: 1.000e-02 eta: 18:12:42 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2299 loss: 2.2299 2022/06/28 06:25:53 - mmengine - INFO - Epoch(train) [35][960/3757] lr: 1.000e-02 eta: 18:12:37 time: 0.203 data_time: 0.020 memory: 5150 grad_norm: 6.3394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1702 loss: 2.1702 2022/06/28 06:25:58 - mmengine - INFO - Epoch(train) [35][980/3757] lr: 1.000e-02 eta: 18:12:31 time: 0.619 data_time: 0.006 memory: 5150 grad_norm: 5.8213 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0283 loss: 2.0283 2022/06/28 06:26:03 - mmengine - INFO - Epoch(train) [35][1000/3757] lr: 1.000e-02 eta: 18:12:25 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.0594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9681 loss: 1.9681 2022/06/28 06:26:08 - mmengine - INFO - Epoch(train) [35][1020/3757] lr: 1.000e-02 eta: 18:12:20 time: 0.209 data_time: 0.027 memory: 5150 grad_norm: 5.2171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8947 loss: 1.8947 2022/06/28 06:26:14 - mmengine - INFO - Epoch(train) [35][1040/3757] lr: 1.000e-02 eta: 18:12:15 time: 0.560 data_time: 0.010 memory: 5150 grad_norm: 5.4681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8218 loss: 1.8218 2022/06/28 06:26:19 - mmengine - INFO - Epoch(train) [35][1060/3757] lr: 1.000e-02 eta: 18:12:09 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.4942 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6797 loss: 1.6797 2022/06/28 06:26:24 - mmengine - INFO - Epoch(train) [35][1080/3757] lr: 1.000e-02 eta: 18:12:04 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 5.0759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9209 loss: 1.9209 2022/06/28 06:26:30 - mmengine - INFO - Epoch(train) [35][1100/3757] lr: 1.000e-02 eta: 18:12:00 time: 1.152 data_time: 0.016 memory: 5150 grad_norm: 5.6475 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1803 loss: 2.1803 2022/06/28 06:26:35 - mmengine - INFO - Epoch(train) [35][1120/3757] lr: 1.000e-02 eta: 18:11:54 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1446 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2024 loss: 2.2024 2022/06/28 06:26:41 - mmengine - INFO - Epoch(train) [35][1140/3757] lr: 1.000e-02 eta: 18:11:49 time: 0.228 data_time: 0.028 memory: 5150 grad_norm: 5.6350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0581 loss: 2.0581 2022/06/28 06:26:46 - mmengine - INFO - Epoch(train) [35][1160/3757] lr: 1.000e-02 eta: 18:11:44 time: 0.676 data_time: 0.006 memory: 5150 grad_norm: 5.4102 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8570 loss: 1.8570 2022/06/28 06:26:51 - mmengine - INFO - Epoch(train) [35][1180/3757] lr: 1.000e-02 eta: 18:11:39 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2409 loss: 2.2409 2022/06/28 06:26:57 - mmengine - INFO - Epoch(train) [35][1200/3757] lr: 1.000e-02 eta: 18:11:34 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 5.9968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0798 loss: 2.0798 2022/06/28 06:27:02 - mmengine - INFO - Epoch(train) [35][1220/3757] lr: 1.000e-02 eta: 18:11:29 time: 0.572 data_time: 0.010 memory: 5150 grad_norm: 5.6532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0733 loss: 2.0733 2022/06/28 06:27:07 - mmengine - INFO - Epoch(train) [35][1240/3757] lr: 1.000e-02 eta: 18:11:22 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 5.6600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3939 loss: 2.3939 2022/06/28 06:27:13 - mmengine - INFO - Epoch(train) [35][1260/3757] lr: 1.000e-02 eta: 18:11:18 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.6722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9776 loss: 1.9776 2022/06/28 06:27:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:27:19 - mmengine - INFO - Epoch(train) [35][1280/3757] lr: 1.000e-02 eta: 18:11:13 time: 0.704 data_time: 0.007 memory: 5150 grad_norm: 6.9146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8886 loss: 1.8886 2022/06/28 06:27:23 - mmengine - INFO - Epoch(train) [35][1300/3757] lr: 1.000e-02 eta: 18:11:07 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 4.8720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9206 loss: 1.9206 2022/06/28 06:27:29 - mmengine - INFO - Epoch(train) [35][1320/3757] lr: 1.000e-02 eta: 18:11:02 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 4.7994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8590 loss: 1.8590 2022/06/28 06:27:35 - mmengine - INFO - Epoch(train) [35][1340/3757] lr: 1.000e-02 eta: 18:10:58 time: 1.198 data_time: 0.007 memory: 5150 grad_norm: 5.5172 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5661 loss: 1.5661 2022/06/28 06:27:39 - mmengine - INFO - Epoch(train) [35][1360/3757] lr: 1.000e-02 eta: 18:10:51 time: 0.232 data_time: 0.010 memory: 5150 grad_norm: 5.6546 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8694 loss: 1.8694 2022/06/28 06:27:45 - mmengine - INFO - Epoch(train) [35][1380/3757] lr: 1.000e-02 eta: 18:10:47 time: 0.230 data_time: 0.006 memory: 5150 grad_norm: 5.8708 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2048 loss: 2.2048 2022/06/28 06:27:51 - mmengine - INFO - Epoch(train) [35][1400/3757] lr: 1.000e-02 eta: 18:10:42 time: 0.723 data_time: 0.009 memory: 5150 grad_norm: 5.3757 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7948 loss: 1.7948 2022/06/28 06:27:56 - mmengine - INFO - Epoch(train) [35][1420/3757] lr: 1.000e-02 eta: 18:10:36 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 5.2554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9092 loss: 1.9092 2022/06/28 06:28:01 - mmengine - INFO - Epoch(train) [35][1440/3757] lr: 1.000e-02 eta: 18:10:31 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 5.0824 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5383 loss: 1.5383 2022/06/28 06:28:07 - mmengine - INFO - Epoch(train) [35][1460/3757] lr: 1.000e-02 eta: 18:10:26 time: 0.864 data_time: 0.006 memory: 5150 grad_norm: 5.9858 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0202 loss: 2.0202 2022/06/28 06:28:12 - mmengine - INFO - Epoch(train) [35][1480/3757] lr: 1.000e-02 eta: 18:10:21 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 5.4803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/06/28 06:28:17 - mmengine - INFO - Epoch(train) [35][1500/3757] lr: 1.000e-02 eta: 18:10:15 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 6.5286 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0871 loss: 2.0871 2022/06/28 06:28:22 - mmengine - INFO - Epoch(train) [35][1520/3757] lr: 1.000e-02 eta: 18:10:10 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.4152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0542 loss: 2.0542 2022/06/28 06:28:27 - mmengine - INFO - Epoch(train) [35][1540/3757] lr: 1.000e-02 eta: 18:10:04 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 6.5692 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6979 loss: 1.6979 2022/06/28 06:28:32 - mmengine - INFO - Epoch(train) [35][1560/3757] lr: 1.000e-02 eta: 18:09:58 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.7392 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5162 loss: 2.5162 2022/06/28 06:28:38 - mmengine - INFO - Epoch(train) [35][1580/3757] lr: 1.000e-02 eta: 18:09:53 time: 1.295 data_time: 0.007 memory: 5150 grad_norm: 5.7321 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6478 loss: 1.6478 2022/06/28 06:28:42 - mmengine - INFO - Epoch(train) [35][1600/3757] lr: 1.000e-02 eta: 18:09:46 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 5.4793 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2068 loss: 2.2068 2022/06/28 06:28:48 - mmengine - INFO - Epoch(train) [35][1620/3757] lr: 1.000e-02 eta: 18:09:41 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 5.8529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8980 loss: 1.8980 2022/06/28 06:28:54 - mmengine - INFO - Epoch(train) [35][1640/3757] lr: 1.000e-02 eta: 18:09:37 time: 0.949 data_time: 0.007 memory: 5150 grad_norm: 5.4061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0640 loss: 2.0640 2022/06/28 06:28:58 - mmengine - INFO - Epoch(train) [35][1660/3757] lr: 1.000e-02 eta: 18:09:30 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 4.9442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0102 loss: 2.0102 2022/06/28 06:29:04 - mmengine - INFO - Epoch(train) [35][1680/3757] lr: 1.000e-02 eta: 18:09:25 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.3289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1086 loss: 2.1086 2022/06/28 06:29:09 - mmengine - INFO - Epoch(train) [35][1700/3757] lr: 1.000e-02 eta: 18:09:20 time: 0.681 data_time: 0.007 memory: 5150 grad_norm: 6.4351 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3099 loss: 2.3099 2022/06/28 06:29:14 - mmengine - INFO - Epoch(train) [35][1720/3757] lr: 1.000e-02 eta: 18:09:14 time: 0.326 data_time: 0.007 memory: 5150 grad_norm: 5.5178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.2569 loss: 2.2569 2022/06/28 06:29:20 - mmengine - INFO - Epoch(train) [35][1740/3757] lr: 1.000e-02 eta: 18:09:10 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.8509 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9502 loss: 1.9502 2022/06/28 06:29:25 - mmengine - INFO - Epoch(train) [35][1760/3757] lr: 1.000e-02 eta: 18:09:04 time: 0.641 data_time: 0.007 memory: 5150 grad_norm: 5.7318 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8893 loss: 1.8893 2022/06/28 06:29:31 - mmengine - INFO - Epoch(train) [35][1780/3757] lr: 1.000e-02 eta: 18:08:59 time: 0.439 data_time: 0.007 memory: 5150 grad_norm: 5.6483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1145 loss: 2.1145 2022/06/28 06:29:36 - mmengine - INFO - Epoch(train) [35][1800/3757] lr: 1.000e-02 eta: 18:08:53 time: 0.636 data_time: 0.010 memory: 5150 grad_norm: 4.9255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8867 loss: 1.8867 2022/06/28 06:29:42 - mmengine - INFO - Epoch(train) [35][1820/3757] lr: 1.000e-02 eta: 18:08:49 time: 0.583 data_time: 0.006 memory: 5150 grad_norm: 6.5425 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0263 loss: 2.0263 2022/06/28 06:29:47 - mmengine - INFO - Epoch(train) [35][1840/3757] lr: 1.000e-02 eta: 18:08:43 time: 0.259 data_time: 0.008 memory: 5150 grad_norm: 5.0737 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3676 loss: 2.3676 2022/06/28 06:29:52 - mmengine - INFO - Epoch(train) [35][1860/3757] lr: 1.000e-02 eta: 18:08:38 time: 0.402 data_time: 0.010 memory: 5150 grad_norm: 5.9195 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8962 loss: 1.8962 2022/06/28 06:29:58 - mmengine - INFO - Epoch(train) [35][1880/3757] lr: 1.000e-02 eta: 18:08:33 time: 0.644 data_time: 0.007 memory: 5150 grad_norm: 6.1205 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2689 loss: 2.2689 2022/06/28 06:30:03 - mmengine - INFO - Epoch(train) [35][1900/3757] lr: 1.000e-02 eta: 18:08:28 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3637 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8515 loss: 1.8515 2022/06/28 06:30:08 - mmengine - INFO - Epoch(train) [35][1920/3757] lr: 1.000e-02 eta: 18:08:23 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1537 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8950 loss: 1.8950 2022/06/28 06:30:14 - mmengine - INFO - Epoch(train) [35][1940/3757] lr: 1.000e-02 eta: 18:08:19 time: 0.489 data_time: 0.010 memory: 5150 grad_norm: 5.1253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7499 loss: 1.7499 2022/06/28 06:30:19 - mmengine - INFO - Epoch(train) [35][1960/3757] lr: 1.000e-02 eta: 18:08:12 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.7123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0286 loss: 2.0286 2022/06/28 06:30:25 - mmengine - INFO - Epoch(train) [35][1980/3757] lr: 1.000e-02 eta: 18:08:08 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.1718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2697 loss: 2.2697 2022/06/28 06:30:30 - mmengine - INFO - Epoch(train) [35][2000/3757] lr: 1.000e-02 eta: 18:08:03 time: 0.317 data_time: 0.007 memory: 5150 grad_norm: 5.9606 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8843 loss: 1.8843 2022/06/28 06:30:35 - mmengine - INFO - Epoch(train) [35][2020/3757] lr: 1.000e-02 eta: 18:07:57 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.0659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1256 loss: 2.1256 2022/06/28 06:30:41 - mmengine - INFO - Epoch(train) [35][2040/3757] lr: 1.000e-02 eta: 18:07:52 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 4.9363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1909 loss: 2.1909 2022/06/28 06:30:47 - mmengine - INFO - Epoch(train) [35][2060/3757] lr: 1.000e-02 eta: 18:07:48 time: 1.176 data_time: 0.008 memory: 5150 grad_norm: 6.4273 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4347 loss: 1.4347 2022/06/28 06:30:52 - mmengine - INFO - Epoch(train) [35][2080/3757] lr: 1.000e-02 eta: 18:07:42 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 4.9363 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5069 loss: 2.5069 2022/06/28 06:30:57 - mmengine - INFO - Epoch(train) [35][2100/3757] lr: 1.000e-02 eta: 18:07:37 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 6.4969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8582 loss: 1.8582 2022/06/28 06:31:03 - mmengine - INFO - Epoch(train) [35][2120/3757] lr: 1.000e-02 eta: 18:07:32 time: 0.261 data_time: 0.008 memory: 5150 grad_norm: 5.7384 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0310 loss: 2.0310 2022/06/28 06:31:08 - mmengine - INFO - Epoch(train) [35][2140/3757] lr: 1.000e-02 eta: 18:07:26 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.4657 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0809 loss: 2.0809 2022/06/28 06:31:12 - mmengine - INFO - Epoch(train) [35][2160/3757] lr: 1.000e-02 eta: 18:07:20 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5599 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0025 loss: 2.0025 2022/06/28 06:31:18 - mmengine - INFO - Epoch(train) [35][2180/3757] lr: 1.000e-02 eta: 18:07:16 time: 1.081 data_time: 0.007 memory: 5150 grad_norm: 5.0231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5097 loss: 1.5097 2022/06/28 06:31:23 - mmengine - INFO - Epoch(train) [35][2200/3757] lr: 1.000e-02 eta: 18:07:09 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.8949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1062 loss: 2.1062 2022/06/28 06:31:28 - mmengine - INFO - Epoch(train) [35][2220/3757] lr: 1.000e-02 eta: 18:07:03 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.3744 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1501 loss: 2.1501 2022/06/28 06:31:34 - mmengine - INFO - Epoch(train) [35][2240/3757] lr: 1.000e-02 eta: 18:06:58 time: 0.850 data_time: 0.008 memory: 5150 grad_norm: 6.3515 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2365 loss: 2.2365 2022/06/28 06:31:39 - mmengine - INFO - Epoch(train) [35][2260/3757] lr: 1.000e-02 eta: 18:06:53 time: 0.221 data_time: 0.006 memory: 5150 grad_norm: 5.6345 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.4150 loss: 2.4150 2022/06/28 06:31:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:31:44 - mmengine - INFO - Epoch(train) [35][2280/3757] lr: 1.000e-02 eta: 18:06:48 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0466 loss: 2.0466 2022/06/28 06:31:50 - mmengine - INFO - Epoch(train) [35][2300/3757] lr: 1.000e-02 eta: 18:06:42 time: 0.410 data_time: 0.011 memory: 5150 grad_norm: 6.7580 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9503 loss: 1.9503 2022/06/28 06:31:55 - mmengine - INFO - Epoch(train) [35][2320/3757] lr: 1.000e-02 eta: 18:06:37 time: 0.278 data_time: 0.008 memory: 5150 grad_norm: 5.3117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9424 loss: 1.9424 2022/06/28 06:32:00 - mmengine - INFO - Epoch(train) [35][2340/3757] lr: 1.000e-02 eta: 18:06:32 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8577 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1486 loss: 2.1486 2022/06/28 06:32:06 - mmengine - INFO - Epoch(train) [35][2360/3757] lr: 1.000e-02 eta: 18:06:27 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.6270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8371 loss: 1.8371 2022/06/28 06:32:11 - mmengine - INFO - Epoch(train) [35][2380/3757] lr: 1.000e-02 eta: 18:06:21 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.0811 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7996 loss: 1.7996 2022/06/28 06:32:17 - mmengine - INFO - Epoch(train) [35][2400/3757] lr: 1.000e-02 eta: 18:06:17 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 4.9423 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7978 loss: 1.7978 2022/06/28 06:32:22 - mmengine - INFO - Epoch(train) [35][2420/3757] lr: 1.000e-02 eta: 18:06:12 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.0040 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0585 loss: 2.0585 2022/06/28 06:32:27 - mmengine - INFO - Epoch(train) [35][2440/3757] lr: 1.000e-02 eta: 18:06:05 time: 0.376 data_time: 0.010 memory: 5150 grad_norm: 5.4924 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4817 loss: 1.4817 2022/06/28 06:32:32 - mmengine - INFO - Epoch(train) [35][2460/3757] lr: 1.000e-02 eta: 18:06:00 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.2206 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9293 loss: 1.9293 2022/06/28 06:32:38 - mmengine - INFO - Epoch(train) [35][2480/3757] lr: 1.000e-02 eta: 18:05:56 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.4905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9057 loss: 1.9057 2022/06/28 06:32:43 - mmengine - INFO - Epoch(train) [35][2500/3757] lr: 1.000e-02 eta: 18:05:50 time: 0.230 data_time: 0.008 memory: 5150 grad_norm: 5.7665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8201 loss: 1.8201 2022/06/28 06:32:49 - mmengine - INFO - Epoch(train) [35][2520/3757] lr: 1.000e-02 eta: 18:05:45 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.4164 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3214 loss: 2.3214 2022/06/28 06:32:54 - mmengine - INFO - Epoch(train) [35][2540/3757] lr: 1.000e-02 eta: 18:05:40 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.4426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.2843 loss: 2.2843 2022/06/28 06:32:59 - mmengine - INFO - Epoch(train) [35][2560/3757] lr: 1.000e-02 eta: 18:05:34 time: 0.260 data_time: 0.008 memory: 5150 grad_norm: 6.3197 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2802 loss: 2.2802 2022/06/28 06:33:05 - mmengine - INFO - Epoch(train) [35][2580/3757] lr: 1.000e-02 eta: 18:05:30 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.8215 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8811 loss: 1.8811 2022/06/28 06:33:11 - mmengine - INFO - Epoch(train) [35][2600/3757] lr: 1.000e-02 eta: 18:05:25 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 4.6649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9331 loss: 1.9331 2022/06/28 06:33:15 - mmengine - INFO - Epoch(train) [35][2620/3757] lr: 1.000e-02 eta: 18:05:18 time: 0.220 data_time: 0.006 memory: 5150 grad_norm: 6.2877 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3168 loss: 2.3168 2022/06/28 06:33:21 - mmengine - INFO - Epoch(train) [35][2640/3757] lr: 1.000e-02 eta: 18:05:14 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.9188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7466 loss: 1.7466 2022/06/28 06:33:26 - mmengine - INFO - Epoch(train) [35][2660/3757] lr: 1.000e-02 eta: 18:05:09 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.4251 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7724 loss: 1.7724 2022/06/28 06:33:31 - mmengine - INFO - Epoch(train) [35][2680/3757] lr: 1.000e-02 eta: 18:05:03 time: 0.226 data_time: 0.006 memory: 5150 grad_norm: 6.0115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3116 loss: 2.3116 2022/06/28 06:33:36 - mmengine - INFO - Epoch(train) [35][2700/3757] lr: 1.000e-02 eta: 18:04:57 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.6318 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1010 loss: 2.1010 2022/06/28 06:33:43 - mmengine - INFO - Epoch(train) [35][2720/3757] lr: 1.000e-02 eta: 18:04:53 time: 0.932 data_time: 0.015 memory: 5150 grad_norm: 5.2449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9788 loss: 1.9788 2022/06/28 06:33:47 - mmengine - INFO - Epoch(train) [35][2740/3757] lr: 1.000e-02 eta: 18:04:47 time: 0.237 data_time: 0.013 memory: 5150 grad_norm: 6.6096 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.3325 loss: 2.3325 2022/06/28 06:33:53 - mmengine - INFO - Epoch(train) [35][2760/3757] lr: 1.000e-02 eta: 18:04:42 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.3458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9499 loss: 1.9499 2022/06/28 06:33:58 - mmengine - INFO - Epoch(train) [35][2780/3757] lr: 1.000e-02 eta: 18:04:37 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.0363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8249 loss: 1.8249 2022/06/28 06:34:03 - mmengine - INFO - Epoch(train) [35][2800/3757] lr: 1.000e-02 eta: 18:04:31 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.3473 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1530 loss: 2.1530 2022/06/28 06:34:09 - mmengine - INFO - Epoch(train) [35][2820/3757] lr: 1.000e-02 eta: 18:04:26 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.2070 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7212 loss: 1.7212 2022/06/28 06:34:15 - mmengine - INFO - Epoch(train) [35][2840/3757] lr: 1.000e-02 eta: 18:04:21 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.8585 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5825 loss: 2.5825 2022/06/28 06:34:19 - mmengine - INFO - Epoch(train) [35][2860/3757] lr: 1.000e-02 eta: 18:04:16 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.2667 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0082 loss: 2.0082 2022/06/28 06:34:25 - mmengine - INFO - Epoch(train) [35][2880/3757] lr: 1.000e-02 eta: 18:04:10 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5851 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0994 loss: 2.0994 2022/06/28 06:34:31 - mmengine - INFO - Epoch(train) [35][2900/3757] lr: 1.000e-02 eta: 18:04:06 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 4.9665 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9179 loss: 1.9179 2022/06/28 06:34:36 - mmengine - INFO - Epoch(train) [35][2920/3757] lr: 1.000e-02 eta: 18:04:00 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 6.3882 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0247 loss: 2.0247 2022/06/28 06:34:41 - mmengine - INFO - Epoch(train) [35][2940/3757] lr: 1.000e-02 eta: 18:03:55 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.7199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/06/28 06:34:46 - mmengine - INFO - Epoch(train) [35][2960/3757] lr: 1.000e-02 eta: 18:03:49 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.9143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2812 loss: 2.2812 2022/06/28 06:34:51 - mmengine - INFO - Epoch(train) [35][2980/3757] lr: 1.000e-02 eta: 18:03:43 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.8210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8569 loss: 1.8569 2022/06/28 06:34:56 - mmengine - INFO - Epoch(train) [35][3000/3757] lr: 1.000e-02 eta: 18:03:37 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.8368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0066 loss: 2.0066 2022/06/28 06:35:02 - mmengine - INFO - Epoch(train) [35][3020/3757] lr: 1.000e-02 eta: 18:03:33 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 6.0663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1236 loss: 2.1236 2022/06/28 06:35:08 - mmengine - INFO - Epoch(train) [35][3040/3757] lr: 1.000e-02 eta: 18:03:28 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.2983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9280 loss: 1.9280 2022/06/28 06:35:13 - mmengine - INFO - Epoch(train) [35][3060/3757] lr: 1.000e-02 eta: 18:03:23 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.4082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6306 loss: 1.6306 2022/06/28 06:35:18 - mmengine - INFO - Epoch(train) [35][3080/3757] lr: 1.000e-02 eta: 18:03:18 time: 0.275 data_time: 0.021 memory: 5150 grad_norm: 5.6575 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8989 loss: 1.8989 2022/06/28 06:35:24 - mmengine - INFO - Epoch(train) [35][3100/3757] lr: 1.000e-02 eta: 18:03:12 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.7755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9827 loss: 1.9827 2022/06/28 06:35:29 - mmengine - INFO - Epoch(train) [35][3120/3757] lr: 1.000e-02 eta: 18:03:07 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.5663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2937 loss: 2.2937 2022/06/28 06:35:34 - mmengine - INFO - Epoch(train) [35][3140/3757] lr: 1.000e-02 eta: 18:03:02 time: 0.702 data_time: 0.023 memory: 5150 grad_norm: 5.7717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6380 loss: 1.6380 2022/06/28 06:35:40 - mmengine - INFO - Epoch(train) [35][3160/3757] lr: 1.000e-02 eta: 18:02:57 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.3713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4473 loss: 2.4473 2022/06/28 06:35:45 - mmengine - INFO - Epoch(train) [35][3180/3757] lr: 1.000e-02 eta: 18:02:52 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.7641 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0271 loss: 2.0271 2022/06/28 06:35:51 - mmengine - INFO - Epoch(train) [35][3200/3757] lr: 1.000e-02 eta: 18:02:47 time: 0.836 data_time: 0.022 memory: 5150 grad_norm: 5.4796 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0554 loss: 2.0554 2022/06/28 06:35:56 - mmengine - INFO - Epoch(train) [35][3220/3757] lr: 1.000e-02 eta: 18:02:42 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.9393 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2610 loss: 2.2610 2022/06/28 06:36:02 - mmengine - INFO - Epoch(train) [35][3240/3757] lr: 1.000e-02 eta: 18:02:36 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 4.9049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7758 loss: 1.7758 2022/06/28 06:36:07 - mmengine - INFO - Epoch(train) [35][3260/3757] lr: 1.000e-02 eta: 18:02:32 time: 1.009 data_time: 0.008 memory: 5150 grad_norm: 5.8727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0589 loss: 2.0589 2022/06/28 06:36:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:36:12 - mmengine - INFO - Epoch(train) [35][3280/3757] lr: 1.000e-02 eta: 18:02:26 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.3176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9591 loss: 1.9591 2022/06/28 06:36:17 - mmengine - INFO - Epoch(train) [35][3300/3757] lr: 1.000e-02 eta: 18:02:20 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.8339 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8766 loss: 1.8766 2022/06/28 06:36:23 - mmengine - INFO - Epoch(train) [35][3320/3757] lr: 1.000e-02 eta: 18:02:15 time: 1.031 data_time: 0.010 memory: 5150 grad_norm: 5.5575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3938 loss: 2.3938 2022/06/28 06:36:27 - mmengine - INFO - Epoch(train) [35][3340/3757] lr: 1.000e-02 eta: 18:02:09 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 4.6735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2920 loss: 2.2920 2022/06/28 06:36:33 - mmengine - INFO - Epoch(train) [35][3360/3757] lr: 1.000e-02 eta: 18:02:04 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 6.2790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2025 loss: 2.2025 2022/06/28 06:36:38 - mmengine - INFO - Epoch(train) [35][3380/3757] lr: 1.000e-02 eta: 18:01:59 time: 0.659 data_time: 0.013 memory: 5150 grad_norm: 5.1892 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1416 loss: 2.1416 2022/06/28 06:36:43 - mmengine - INFO - Epoch(train) [35][3400/3757] lr: 1.000e-02 eta: 18:01:53 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 6.2468 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1090 loss: 2.1090 2022/06/28 06:36:49 - mmengine - INFO - Epoch(train) [35][3420/3757] lr: 1.000e-02 eta: 18:01:47 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.3846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8962 loss: 1.8962 2022/06/28 06:36:54 - mmengine - INFO - Epoch(train) [35][3440/3757] lr: 1.000e-02 eta: 18:01:42 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0539 loss: 2.0539 2022/06/28 06:37:00 - mmengine - INFO - Epoch(train) [35][3460/3757] lr: 1.000e-02 eta: 18:01:37 time: 0.200 data_time: 0.031 memory: 5150 grad_norm: 5.9810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7332 loss: 1.7332 2022/06/28 06:37:05 - mmengine - INFO - Epoch(train) [35][3480/3757] lr: 1.000e-02 eta: 18:01:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9699 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.3742 loss: 2.3742 2022/06/28 06:37:10 - mmengine - INFO - Epoch(train) [35][3500/3757] lr: 1.000e-02 eta: 18:01:27 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 5.4663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8139 loss: 1.8139 2022/06/28 06:37:16 - mmengine - INFO - Epoch(train) [35][3520/3757] lr: 1.000e-02 eta: 18:01:23 time: 0.207 data_time: 0.026 memory: 5150 grad_norm: 6.1437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0480 loss: 2.0480 2022/06/28 06:37:21 - mmengine - INFO - Epoch(train) [35][3540/3757] lr: 1.000e-02 eta: 18:01:17 time: 0.219 data_time: 0.014 memory: 5150 grad_norm: 5.5111 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1605 loss: 2.1605 2022/06/28 06:37:27 - mmengine - INFO - Epoch(train) [35][3560/3757] lr: 1.000e-02 eta: 18:01:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2043 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0540 loss: 2.0540 2022/06/28 06:37:32 - mmengine - INFO - Epoch(train) [35][3580/3757] lr: 1.000e-02 eta: 18:01:07 time: 0.201 data_time: 0.031 memory: 5150 grad_norm: 5.2201 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9558 loss: 1.9558 2022/06/28 06:37:37 - mmengine - INFO - Epoch(train) [35][3600/3757] lr: 1.000e-02 eta: 18:01:00 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.5624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8334 loss: 1.8334 2022/06/28 06:37:42 - mmengine - INFO - Epoch(train) [35][3620/3757] lr: 1.000e-02 eta: 18:00:55 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8336 loss: 1.8336 2022/06/28 06:37:47 - mmengine - INFO - Epoch(train) [35][3640/3757] lr: 1.000e-02 eta: 18:00:49 time: 0.194 data_time: 0.020 memory: 5150 grad_norm: 5.7372 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9715 loss: 1.9715 2022/06/28 06:37:53 - mmengine - INFO - Epoch(train) [35][3660/3757] lr: 1.000e-02 eta: 18:00:45 time: 0.900 data_time: 0.010 memory: 5150 grad_norm: 5.6064 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1581 loss: 2.1581 2022/06/28 06:37:58 - mmengine - INFO - Epoch(train) [35][3680/3757] lr: 1.000e-02 eta: 18:00:39 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.6937 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1305 loss: 2.1305 2022/06/28 06:38:04 - mmengine - INFO - Epoch(train) [35][3700/3757] lr: 1.000e-02 eta: 18:00:34 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.4205 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8798 loss: 1.8798 2022/06/28 06:38:09 - mmengine - INFO - Epoch(train) [35][3720/3757] lr: 1.000e-02 eta: 18:00:29 time: 0.928 data_time: 0.010 memory: 5150 grad_norm: 5.6826 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0092 loss: 2.0092 2022/06/28 06:38:14 - mmengine - INFO - Epoch(train) [35][3740/3757] lr: 1.000e-02 eta: 18:00:23 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0191 loss: 2.0191 2022/06/28 06:38:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:38:17 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/06/28 06:38:52 - mmengine - INFO - Epoch(val) [35][20/310] eta: 0:05:37 time: 0.919 data_time: 0.269 memory: 9746 2022/06/28 06:39:14 - mmengine - INFO - Epoch(val) [35][40/310] eta: 0:04:42 time: 0.939 data_time: 0.291 memory: 9746 2022/06/28 06:39:38 - mmengine - INFO - Epoch(val) [35][60/310] eta: 0:04:24 time: 1.136 data_time: 0.500 memory: 9746 2022/06/28 06:40:01 - mmengine - INFO - Epoch(val) [35][80/310] eta: 0:05:02 time: 1.275 data_time: 0.632 memory: 9746 2022/06/28 06:40:24 - mmengine - INFO - Epoch(val) [35][100/310] eta: 0:04:08 time: 2.470 data_time: 1.775 memory: 9746 2022/06/28 06:40:46 - mmengine - INFO - Epoch(val) [35][120/310] eta: 0:03:23 time: 1.085 data_time: 0.446 memory: 9746 2022/06/28 06:41:10 - mmengine - INFO - Epoch(val) [35][140/310] eta: 0:03:21 time: 1.132 data_time: 0.498 memory: 9746 2022/06/28 06:41:35 - mmengine - INFO - Epoch(val) [35][160/310] eta: 0:03:11 time: 2.836 data_time: 2.164 memory: 9746 2022/06/28 06:41:58 - mmengine - INFO - Epoch(val) [35][180/310] eta: 0:02:53 time: 1.115 data_time: 0.462 memory: 9746 2022/06/28 06:42:20 - mmengine - INFO - Epoch(val) [35][200/310] eta: 0:02:01 time: 1.041 data_time: 0.397 memory: 9746 2022/06/28 06:42:42 - mmengine - INFO - Epoch(val) [35][220/310] eta: 0:01:34 time: 1.122 data_time: 0.476 memory: 9746 2022/06/28 06:43:03 - mmengine - INFO - Epoch(val) [35][240/310] eta: 0:01:16 time: 1.043 data_time: 0.390 memory: 9746 2022/06/28 06:43:27 - mmengine - INFO - Epoch(val) [35][260/310] eta: 0:00:59 time: 0.966 data_time: 0.315 memory: 9746 2022/06/28 06:43:50 - mmengine - INFO - Epoch(val) [35][280/310] eta: 0:00:33 time: 2.048 data_time: 1.409 memory: 9746 2022/06/28 06:44:09 - mmengine - INFO - Epoch(val) [35][300/310] eta: 0:00:08 time: 0.633 data_time: 0.064 memory: 9746 2022/06/28 06:44:20 - mmengine - INFO - Epoch(val) [35][310/310] acc/top1: 0.6177 acc/top5: 0.8468 acc/mean1: 0.6177 2022/06/28 06:44:29 - mmengine - INFO - Epoch(train) [36][20/3757] lr: 1.000e-02 eta: 18:00:14 time: 0.198 data_time: 0.007 memory: 9746 grad_norm: 5.8509 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9896 loss: 1.9896 2022/06/28 06:44:35 - mmengine - INFO - Epoch(train) [36][40/3757] lr: 1.000e-02 eta: 18:00:10 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.2639 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0206 loss: 2.0206 2022/06/28 06:44:39 - mmengine - INFO - Epoch(train) [36][60/3757] lr: 1.000e-02 eta: 18:00:04 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.1912 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2375 loss: 2.2375 2022/06/28 06:44:45 - mmengine - INFO - Epoch(train) [36][80/3757] lr: 1.000e-02 eta: 17:59:59 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.2280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8481 loss: 1.8481 2022/06/28 06:44:51 - mmengine - INFO - Epoch(train) [36][100/3757] lr: 1.000e-02 eta: 17:59:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.0567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1422 loss: 2.1422 2022/06/28 06:44:55 - mmengine - INFO - Epoch(train) [36][120/3757] lr: 1.000e-02 eta: 17:59:48 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.0487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4252 loss: 2.4252 2022/06/28 06:45:01 - mmengine - INFO - Epoch(train) [36][140/3757] lr: 1.000e-02 eta: 17:59:43 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.4441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1818 loss: 2.1818 2022/06/28 06:45:07 - mmengine - INFO - Epoch(train) [36][160/3757] lr: 1.000e-02 eta: 17:59:39 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0440 loss: 2.0440 2022/06/28 06:45:12 - mmengine - INFO - Epoch(train) [36][180/3757] lr: 1.000e-02 eta: 17:59:33 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.9356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6503 loss: 1.6503 2022/06/28 06:45:18 - mmengine - INFO - Epoch(train) [36][200/3757] lr: 1.000e-02 eta: 17:59:28 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.8204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9080 loss: 1.9080 2022/06/28 06:45:23 - mmengine - INFO - Epoch(train) [36][220/3757] lr: 1.000e-02 eta: 17:59:23 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.3459 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9942 loss: 1.9942 2022/06/28 06:45:28 - mmengine - INFO - Epoch(train) [36][240/3757] lr: 1.000e-02 eta: 17:59:17 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.3428 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2309 loss: 2.2309 2022/06/28 06:45:34 - mmengine - INFO - Epoch(train) [36][260/3757] lr: 1.000e-02 eta: 17:59:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4242 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4973 loss: 2.4973 2022/06/28 06:45:39 - mmengine - INFO - Epoch(train) [36][280/3757] lr: 1.000e-02 eta: 17:59:07 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5828 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3389 loss: 2.3389 2022/06/28 06:45:44 - mmengine - INFO - Epoch(train) [36][300/3757] lr: 1.000e-02 eta: 17:59:01 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6230 loss: 1.6230 2022/06/28 06:45:50 - mmengine - INFO - Epoch(train) [36][320/3757] lr: 1.000e-02 eta: 17:58:56 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.1110 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8082 loss: 1.8082 2022/06/28 06:45:55 - mmengine - INFO - Epoch(train) [36][340/3757] lr: 1.000e-02 eta: 17:58:52 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 6.1002 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7849 loss: 1.7849 2022/06/28 06:46:00 - mmengine - INFO - Epoch(train) [36][360/3757] lr: 1.000e-02 eta: 17:58:46 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0169 loss: 2.0169 2022/06/28 06:46:06 - mmengine - INFO - Epoch(train) [36][380/3757] lr: 1.000e-02 eta: 17:58:40 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.9818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8016 loss: 1.8016 2022/06/28 06:46:12 - mmengine - INFO - Epoch(train) [36][400/3757] lr: 1.000e-02 eta: 17:58:36 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 5.6748 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0891 loss: 2.0891 2022/06/28 06:46:16 - mmengine - INFO - Epoch(train) [36][420/3757] lr: 1.000e-02 eta: 17:58:30 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.8000 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0599 loss: 2.0599 2022/06/28 06:46:22 - mmengine - INFO - Epoch(train) [36][440/3757] lr: 1.000e-02 eta: 17:58:26 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.8272 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6043 loss: 1.6043 2022/06/28 06:46:28 - mmengine - INFO - Epoch(train) [36][460/3757] lr: 1.000e-02 eta: 17:58:21 time: 0.834 data_time: 0.007 memory: 5150 grad_norm: 5.3197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6489 loss: 1.6489 2022/06/28 06:46:33 - mmengine - INFO - Epoch(train) [36][480/3757] lr: 1.000e-02 eta: 17:58:15 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.3702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0886 loss: 2.0886 2022/06/28 06:46:39 - mmengine - INFO - Epoch(train) [36][500/3757] lr: 1.000e-02 eta: 17:58:11 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.8994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9564 loss: 1.9564 2022/06/28 06:46:40 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:46:44 - mmengine - INFO - Epoch(train) [36][520/3757] lr: 1.000e-02 eta: 17:58:06 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.1481 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.3237 loss: 2.3237 2022/06/28 06:46:49 - mmengine - INFO - Epoch(train) [36][540/3757] lr: 1.000e-02 eta: 17:57:59 time: 0.211 data_time: 0.034 memory: 5150 grad_norm: 5.7586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9689 loss: 1.9689 2022/06/28 06:46:54 - mmengine - INFO - Epoch(train) [36][560/3757] lr: 1.000e-02 eta: 17:57:54 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.6003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5979 loss: 1.5979 2022/06/28 06:46:59 - mmengine - INFO - Epoch(train) [36][580/3757] lr: 1.000e-02 eta: 17:57:48 time: 0.437 data_time: 0.012 memory: 5150 grad_norm: 5.4317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0357 loss: 2.0357 2022/06/28 06:47:05 - mmengine - INFO - Epoch(train) [36][600/3757] lr: 1.000e-02 eta: 17:57:43 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.2158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2251 loss: 2.2251 2022/06/28 06:47:11 - mmengine - INFO - Epoch(train) [36][620/3757] lr: 1.000e-02 eta: 17:57:39 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.2603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/06/28 06:47:15 - mmengine - INFO - Epoch(train) [36][640/3757] lr: 1.000e-02 eta: 17:57:33 time: 0.369 data_time: 0.011 memory: 5150 grad_norm: 5.0801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2837 loss: 2.2837 2022/06/28 06:47:21 - mmengine - INFO - Epoch(train) [36][660/3757] lr: 1.000e-02 eta: 17:57:28 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7025 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8838 loss: 1.8838 2022/06/28 06:47:26 - mmengine - INFO - Epoch(train) [36][680/3757] lr: 1.000e-02 eta: 17:57:22 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.3833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1715 loss: 2.1715 2022/06/28 06:47:32 - mmengine - INFO - Epoch(train) [36][700/3757] lr: 1.000e-02 eta: 17:57:18 time: 1.686 data_time: 0.008 memory: 5150 grad_norm: 5.0572 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6428 loss: 1.6428 2022/06/28 06:47:36 - mmengine - INFO - Epoch(train) [36][720/3757] lr: 1.000e-02 eta: 17:57:11 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.6178 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0111 loss: 2.0111 2022/06/28 06:47:43 - mmengine - INFO - Epoch(train) [36][740/3757] lr: 1.000e-02 eta: 17:57:08 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.0311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1291 loss: 2.1291 2022/06/28 06:47:48 - mmengine - INFO - Epoch(train) [36][760/3757] lr: 1.000e-02 eta: 17:57:02 time: 0.736 data_time: 0.045 memory: 5150 grad_norm: 6.1455 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6223 loss: 1.6223 2022/06/28 06:47:53 - mmengine - INFO - Epoch(train) [36][780/3757] lr: 1.000e-02 eta: 17:56:56 time: 0.191 data_time: 0.014 memory: 5150 grad_norm: 5.2174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0068 loss: 2.0068 2022/06/28 06:47:58 - mmengine - INFO - Epoch(train) [36][800/3757] lr: 1.000e-02 eta: 17:56:51 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.8065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6038 loss: 1.6038 2022/06/28 06:48:04 - mmengine - INFO - Epoch(train) [36][820/3757] lr: 1.000e-02 eta: 17:56:46 time: 1.021 data_time: 0.007 memory: 5150 grad_norm: 5.6983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0406 loss: 2.0406 2022/06/28 06:48:09 - mmengine - INFO - Epoch(train) [36][840/3757] lr: 1.000e-02 eta: 17:56:40 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.7868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8953 loss: 1.8953 2022/06/28 06:48:14 - mmengine - INFO - Epoch(train) [36][860/3757] lr: 1.000e-02 eta: 17:56:35 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.1416 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8865 loss: 1.8865 2022/06/28 06:48:19 - mmengine - INFO - Epoch(train) [36][880/3757] lr: 1.000e-02 eta: 17:56:29 time: 0.792 data_time: 0.011 memory: 5150 grad_norm: 6.1342 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9052 loss: 1.9052 2022/06/28 06:48:24 - mmengine - INFO - Epoch(train) [36][900/3757] lr: 1.000e-02 eta: 17:56:23 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.1536 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7443 loss: 1.7443 2022/06/28 06:48:30 - mmengine - INFO - Epoch(train) [36][920/3757] lr: 1.000e-02 eta: 17:56:18 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.5257 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1022 loss: 2.1022 2022/06/28 06:48:35 - mmengine - INFO - Epoch(train) [36][940/3757] lr: 1.000e-02 eta: 17:56:13 time: 0.809 data_time: 0.011 memory: 5150 grad_norm: 6.1380 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.2236 loss: 2.2236 2022/06/28 06:48:41 - mmengine - INFO - Epoch(train) [36][960/3757] lr: 1.000e-02 eta: 17:56:08 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 6.2501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0196 loss: 2.0196 2022/06/28 06:48:46 - mmengine - INFO - Epoch(train) [36][980/3757] lr: 1.000e-02 eta: 17:56:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6900 loss: 1.6900 2022/06/28 06:48:52 - mmengine - INFO - Epoch(train) [36][1000/3757] lr: 1.000e-02 eta: 17:55:59 time: 1.255 data_time: 0.011 memory: 5150 grad_norm: 5.9587 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9896 loss: 1.9896 2022/06/28 06:48:57 - mmengine - INFO - Epoch(train) [36][1020/3757] lr: 1.000e-02 eta: 17:55:53 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 5.7299 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0781 loss: 2.0781 2022/06/28 06:49:02 - mmengine - INFO - Epoch(train) [36][1040/3757] lr: 1.000e-02 eta: 17:55:47 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.8295 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1839 loss: 2.1839 2022/06/28 06:49:07 - mmengine - INFO - Epoch(train) [36][1060/3757] lr: 1.000e-02 eta: 17:55:42 time: 0.373 data_time: 0.012 memory: 5150 grad_norm: 6.0294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9527 loss: 1.9527 2022/06/28 06:49:13 - mmengine - INFO - Epoch(train) [36][1080/3757] lr: 1.000e-02 eta: 17:55:37 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 5.5922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8358 loss: 1.8358 2022/06/28 06:49:18 - mmengine - INFO - Epoch(train) [36][1100/3757] lr: 1.000e-02 eta: 17:55:31 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.7837 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9003 loss: 1.9003 2022/06/28 06:49:24 - mmengine - INFO - Epoch(train) [36][1120/3757] lr: 1.000e-02 eta: 17:55:27 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.6563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9512 loss: 1.9512 2022/06/28 06:49:29 - mmengine - INFO - Epoch(train) [36][1140/3757] lr: 1.000e-02 eta: 17:55:21 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.0025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9302 loss: 1.9302 2022/06/28 06:49:35 - mmengine - INFO - Epoch(train) [36][1160/3757] lr: 1.000e-02 eta: 17:55:16 time: 0.190 data_time: 0.016 memory: 5150 grad_norm: 5.9749 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9722 loss: 1.9722 2022/06/28 06:49:40 - mmengine - INFO - Epoch(train) [36][1180/3757] lr: 1.000e-02 eta: 17:55:11 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.8318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0518 loss: 2.0518 2022/06/28 06:49:45 - mmengine - INFO - Epoch(train) [36][1200/3757] lr: 1.000e-02 eta: 17:55:06 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 5.2517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2949 loss: 2.2949 2022/06/28 06:49:50 - mmengine - INFO - Epoch(train) [36][1220/3757] lr: 1.000e-02 eta: 17:55:00 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.4849 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0558 loss: 2.0558 2022/06/28 06:49:56 - mmengine - INFO - Epoch(train) [36][1240/3757] lr: 1.000e-02 eta: 17:54:55 time: 0.211 data_time: 0.022 memory: 5150 grad_norm: 5.5884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1820 loss: 2.1820 2022/06/28 06:50:02 - mmengine - INFO - Epoch(train) [36][1260/3757] lr: 1.000e-02 eta: 17:54:51 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 5.9782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8677 loss: 1.8677 2022/06/28 06:50:06 - mmengine - INFO - Epoch(train) [36][1280/3757] lr: 1.000e-02 eta: 17:54:44 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.0842 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3459 loss: 2.3459 2022/06/28 06:50:12 - mmengine - INFO - Epoch(train) [36][1300/3757] lr: 1.000e-02 eta: 17:54:39 time: 0.209 data_time: 0.024 memory: 5150 grad_norm: 6.4606 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7431 loss: 1.7431 2022/06/28 06:50:17 - mmengine - INFO - Epoch(train) [36][1320/3757] lr: 1.000e-02 eta: 17:54:34 time: 0.193 data_time: 0.009 memory: 5150 grad_norm: 5.1845 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2521 loss: 2.2521 2022/06/28 06:50:23 - mmengine - INFO - Epoch(train) [36][1340/3757] lr: 1.000e-02 eta: 17:54:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4411 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4675 loss: 2.4675 2022/06/28 06:50:28 - mmengine - INFO - Epoch(train) [36][1360/3757] lr: 1.000e-02 eta: 17:54:23 time: 0.210 data_time: 0.018 memory: 5150 grad_norm: 5.4940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2555 loss: 2.2555 2022/06/28 06:50:32 - mmengine - INFO - Epoch(train) [36][1380/3757] lr: 1.000e-02 eta: 17:54:17 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.5297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4468 loss: 2.4468 2022/06/28 06:50:38 - mmengine - INFO - Epoch(train) [36][1400/3757] lr: 1.000e-02 eta: 17:54:12 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4302 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2187 loss: 2.2187 2022/06/28 06:50:44 - mmengine - INFO - Epoch(train) [36][1420/3757] lr: 1.000e-02 eta: 17:54:08 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 5.5518 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0097 loss: 2.0097 2022/06/28 06:50:49 - mmengine - INFO - Epoch(train) [36][1440/3757] lr: 1.000e-02 eta: 17:54:02 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 6.3211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2637 loss: 2.2637 2022/06/28 06:50:55 - mmengine - INFO - Epoch(train) [36][1460/3757] lr: 1.000e-02 eta: 17:53:57 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.7756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8550 loss: 1.8550 2022/06/28 06:51:00 - mmengine - INFO - Epoch(train) [36][1480/3757] lr: 1.000e-02 eta: 17:53:52 time: 0.230 data_time: 0.023 memory: 5150 grad_norm: 6.0324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0306 loss: 2.0306 2022/06/28 06:51:05 - mmengine - INFO - Epoch(train) [36][1500/3757] lr: 1.000e-02 eta: 17:53:45 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.8046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7576 loss: 1.7576 2022/06/28 06:51:06 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:51:10 - mmengine - INFO - Epoch(train) [36][1520/3757] lr: 1.000e-02 eta: 17:53:40 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.2360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8157 loss: 1.8157 2022/06/28 06:51:16 - mmengine - INFO - Epoch(train) [36][1540/3757] lr: 1.000e-02 eta: 17:53:36 time: 0.519 data_time: 0.018 memory: 5150 grad_norm: 5.5832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9667 loss: 1.9667 2022/06/28 06:51:21 - mmengine - INFO - Epoch(train) [36][1560/3757] lr: 1.000e-02 eta: 17:53:30 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.8955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8117 loss: 1.8117 2022/06/28 06:51:26 - mmengine - INFO - Epoch(train) [36][1580/3757] lr: 1.000e-02 eta: 17:53:24 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0238 loss: 2.0238 2022/06/28 06:51:32 - mmengine - INFO - Epoch(train) [36][1600/3757] lr: 1.000e-02 eta: 17:53:20 time: 0.517 data_time: 0.030 memory: 5150 grad_norm: 5.2004 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0497 loss: 2.0497 2022/06/28 06:51:37 - mmengine - INFO - Epoch(train) [36][1620/3757] lr: 1.000e-02 eta: 17:53:14 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.0783 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6246 loss: 1.6246 2022/06/28 06:51:42 - mmengine - INFO - Epoch(train) [36][1640/3757] lr: 1.000e-02 eta: 17:53:08 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.4269 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0034 loss: 2.0034 2022/06/28 06:51:47 - mmengine - INFO - Epoch(train) [36][1660/3757] lr: 1.000e-02 eta: 17:53:03 time: 0.423 data_time: 0.007 memory: 5150 grad_norm: 4.6907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8573 loss: 1.8573 2022/06/28 06:51:53 - mmengine - INFO - Epoch(train) [36][1680/3757] lr: 1.000e-02 eta: 17:52:58 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.7553 top1_acc: 0.0000 top5_acc: 0.7500 loss_cls: 2.0983 loss: 2.0983 2022/06/28 06:51:58 - mmengine - INFO - Epoch(train) [36][1700/3757] lr: 1.000e-02 eta: 17:52:53 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1773 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9416 loss: 1.9416 2022/06/28 06:52:04 - mmengine - INFO - Epoch(train) [36][1720/3757] lr: 1.000e-02 eta: 17:52:49 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9524 loss: 1.9524 2022/06/28 06:52:09 - mmengine - INFO - Epoch(train) [36][1740/3757] lr: 1.000e-02 eta: 17:52:43 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.3993 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2463 loss: 2.2463 2022/06/28 06:52:14 - mmengine - INFO - Epoch(train) [36][1760/3757] lr: 1.000e-02 eta: 17:52:37 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.5180 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3378 loss: 2.3378 2022/06/28 06:52:20 - mmengine - INFO - Epoch(train) [36][1780/3757] lr: 1.000e-02 eta: 17:52:32 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5606 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5312 loss: 2.5312 2022/06/28 06:52:25 - mmengine - INFO - Epoch(train) [36][1800/3757] lr: 1.000e-02 eta: 17:52:27 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.9176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7771 loss: 1.7771 2022/06/28 06:52:30 - mmengine - INFO - Epoch(train) [36][1820/3757] lr: 1.000e-02 eta: 17:52:21 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.7842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0104 loss: 2.0104 2022/06/28 06:52:36 - mmengine - INFO - Epoch(train) [36][1840/3757] lr: 1.000e-02 eta: 17:52:17 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.0589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0629 loss: 2.0629 2022/06/28 06:52:42 - mmengine - INFO - Epoch(train) [36][1860/3757] lr: 1.000e-02 eta: 17:52:12 time: 0.234 data_time: 0.011 memory: 5150 grad_norm: 5.7359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8454 loss: 1.8454 2022/06/28 06:52:46 - mmengine - INFO - Epoch(train) [36][1880/3757] lr: 1.000e-02 eta: 17:52:06 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.5344 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9829 loss: 1.9829 2022/06/28 06:52:52 - mmengine - INFO - Epoch(train) [36][1900/3757] lr: 1.000e-02 eta: 17:52:00 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.7022 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0830 loss: 2.0830 2022/06/28 06:52:57 - mmengine - INFO - Epoch(train) [36][1920/3757] lr: 1.000e-02 eta: 17:51:56 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.5961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2630 loss: 2.2630 2022/06/28 06:53:03 - mmengine - INFO - Epoch(train) [36][1940/3757] lr: 1.000e-02 eta: 17:51:50 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.1291 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0690 loss: 2.0690 2022/06/28 06:53:07 - mmengine - INFO - Epoch(train) [36][1960/3757] lr: 1.000e-02 eta: 17:51:44 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9648 loss: 1.9648 2022/06/28 06:53:13 - mmengine - INFO - Epoch(train) [36][1980/3757] lr: 1.000e-02 eta: 17:51:39 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 5.9895 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.2488 loss: 2.2488 2022/06/28 06:53:18 - mmengine - INFO - Epoch(train) [36][2000/3757] lr: 1.000e-02 eta: 17:51:33 time: 0.225 data_time: 0.010 memory: 5150 grad_norm: 5.6459 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8264 loss: 1.8264 2022/06/28 06:53:23 - mmengine - INFO - Epoch(train) [36][2020/3757] lr: 1.000e-02 eta: 17:51:28 time: 0.192 data_time: 0.006 memory: 5150 grad_norm: 5.2959 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1431 loss: 2.1431 2022/06/28 06:53:29 - mmengine - INFO - Epoch(train) [36][2040/3757] lr: 1.000e-02 eta: 17:51:23 time: 0.208 data_time: 0.027 memory: 5150 grad_norm: 4.7778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0263 loss: 2.0263 2022/06/28 06:53:34 - mmengine - INFO - Epoch(train) [36][2060/3757] lr: 1.000e-02 eta: 17:51:18 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.9280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9928 loss: 1.9928 2022/06/28 06:53:40 - mmengine - INFO - Epoch(train) [36][2080/3757] lr: 1.000e-02 eta: 17:51:13 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3670 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0263 loss: 2.0263 2022/06/28 06:53:45 - mmengine - INFO - Epoch(train) [36][2100/3757] lr: 1.000e-02 eta: 17:51:07 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.4861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8803 loss: 1.8803 2022/06/28 06:53:51 - mmengine - INFO - Epoch(train) [36][2120/3757] lr: 1.000e-02 eta: 17:51:03 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.8800 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9327 loss: 1.9327 2022/06/28 06:53:56 - mmengine - INFO - Epoch(train) [36][2140/3757] lr: 1.000e-02 eta: 17:50:58 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9512 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3064 loss: 2.3064 2022/06/28 06:54:01 - mmengine - INFO - Epoch(train) [36][2160/3757] lr: 1.000e-02 eta: 17:50:52 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.6739 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1932 loss: 2.1932 2022/06/28 06:54:06 - mmengine - INFO - Epoch(train) [36][2180/3757] lr: 1.000e-02 eta: 17:50:46 time: 0.211 data_time: 0.017 memory: 5150 grad_norm: 5.6224 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1675 loss: 2.1675 2022/06/28 06:54:11 - mmengine - INFO - Epoch(train) [36][2200/3757] lr: 1.000e-02 eta: 17:50:41 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8476 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0490 loss: 2.0490 2022/06/28 06:54:17 - mmengine - INFO - Epoch(train) [36][2220/3757] lr: 1.000e-02 eta: 17:50:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.5481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9894 loss: 1.9894 2022/06/28 06:54:22 - mmengine - INFO - Epoch(train) [36][2240/3757] lr: 1.000e-02 eta: 17:50:30 time: 0.268 data_time: 0.010 memory: 5150 grad_norm: 5.5161 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0890 loss: 2.0890 2022/06/28 06:54:28 - mmengine - INFO - Epoch(train) [36][2260/3757] lr: 1.000e-02 eta: 17:50:25 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.3860 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6087 loss: 1.6087 2022/06/28 06:54:34 - mmengine - INFO - Epoch(train) [36][2280/3757] lr: 1.000e-02 eta: 17:50:21 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.4110 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1431 loss: 2.1431 2022/06/28 06:54:38 - mmengine - INFO - Epoch(train) [36][2300/3757] lr: 1.000e-02 eta: 17:50:15 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.4517 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.6333 loss: 2.6333 2022/06/28 06:54:44 - mmengine - INFO - Epoch(train) [36][2320/3757] lr: 1.000e-02 eta: 17:50:10 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.6835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4878 loss: 2.4878 2022/06/28 06:54:49 - mmengine - INFO - Epoch(train) [36][2340/3757] lr: 1.000e-02 eta: 17:50:05 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.0572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6518 loss: 1.6518 2022/06/28 06:54:55 - mmengine - INFO - Epoch(train) [36][2360/3757] lr: 1.000e-02 eta: 17:50:00 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 5.4570 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1015 loss: 2.1015 2022/06/28 06:55:00 - mmengine - INFO - Epoch(train) [36][2380/3757] lr: 1.000e-02 eta: 17:49:55 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.5179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6018 loss: 1.6018 2022/06/28 06:55:06 - mmengine - INFO - Epoch(train) [36][2400/3757] lr: 1.000e-02 eta: 17:49:50 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 6.3280 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8187 loss: 1.8187 2022/06/28 06:55:10 - mmengine - INFO - Epoch(train) [36][2420/3757] lr: 1.000e-02 eta: 17:49:43 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.5925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/06/28 06:55:16 - mmengine - INFO - Epoch(train) [36][2440/3757] lr: 1.000e-02 eta: 17:49:38 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 5.6007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9163 loss: 1.9163 2022/06/28 06:55:22 - mmengine - INFO - Epoch(train) [36][2460/3757] lr: 1.000e-02 eta: 17:49:35 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.3874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0781 loss: 2.0781 2022/06/28 06:55:27 - mmengine - INFO - Epoch(train) [36][2480/3757] lr: 1.000e-02 eta: 17:49:28 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.2200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8238 loss: 1.8238 2022/06/28 06:55:32 - mmengine - INFO - Epoch(train) [36][2500/3757] lr: 1.000e-02 eta: 17:49:23 time: 0.276 data_time: 0.081 memory: 5150 grad_norm: 5.3880 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0185 loss: 2.0185 2022/06/28 06:55:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 06:55:37 - mmengine - INFO - Epoch(train) [36][2520/3757] lr: 1.000e-02 eta: 17:49:17 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 5.3992 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1302 loss: 2.1302 2022/06/28 06:55:42 - mmengine - INFO - Epoch(train) [36][2540/3757] lr: 1.000e-02 eta: 17:49:11 time: 0.319 data_time: 0.014 memory: 5150 grad_norm: 5.6313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1022 loss: 2.1022 2022/06/28 06:55:47 - mmengine - INFO - Epoch(train) [36][2560/3757] lr: 1.000e-02 eta: 17:49:06 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.4062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/06/28 06:55:53 - mmengine - INFO - Epoch(train) [36][2580/3757] lr: 1.000e-02 eta: 17:49:01 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.3637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9672 loss: 1.9672 2022/06/28 06:55:58 - mmengine - INFO - Epoch(train) [36][2600/3757] lr: 1.000e-02 eta: 17:48:55 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 5.7819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9163 loss: 1.9163 2022/06/28 06:56:04 - mmengine - INFO - Epoch(train) [36][2620/3757] lr: 1.000e-02 eta: 17:48:50 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8228 loss: 1.8228 2022/06/28 06:56:09 - mmengine - INFO - Epoch(train) [36][2640/3757] lr: 1.000e-02 eta: 17:48:45 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.3831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6507 loss: 1.6507 2022/06/28 06:56:14 - mmengine - INFO - Epoch(train) [36][2660/3757] lr: 1.000e-02 eta: 17:48:39 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.1959 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1169 loss: 2.1169 2022/06/28 06:56:19 - mmengine - INFO - Epoch(train) [36][2680/3757] lr: 1.000e-02 eta: 17:48:34 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.9208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1663 loss: 2.1663 2022/06/28 06:56:25 - mmengine - INFO - Epoch(train) [36][2700/3757] lr: 1.000e-02 eta: 17:48:30 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.2760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7175 loss: 1.7175 2022/06/28 06:56:30 - mmengine - INFO - Epoch(train) [36][2720/3757] lr: 1.000e-02 eta: 17:48:23 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.5482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7457 loss: 1.7457 2022/06/28 06:56:36 - mmengine - INFO - Epoch(train) [36][2740/3757] lr: 1.000e-02 eta: 17:48:18 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.5756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0857 loss: 2.0857 2022/06/28 06:56:40 - mmengine - INFO - Epoch(train) [36][2760/3757] lr: 1.000e-02 eta: 17:48:12 time: 0.194 data_time: 0.020 memory: 5150 grad_norm: 5.3422 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.4792 loss: 2.4792 2022/06/28 06:56:46 - mmengine - INFO - Epoch(train) [36][2780/3757] lr: 1.000e-02 eta: 17:48:07 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 5.9811 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7274 loss: 1.7274 2022/06/28 06:56:52 - mmengine - INFO - Epoch(train) [36][2800/3757] lr: 1.000e-02 eta: 17:48:03 time: 0.392 data_time: 0.008 memory: 5150 grad_norm: 6.0859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6818 loss: 1.6818 2022/06/28 06:56:57 - mmengine - INFO - Epoch(train) [36][2820/3757] lr: 1.000e-02 eta: 17:47:58 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.6590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8088 loss: 1.8088 2022/06/28 06:57:02 - mmengine - INFO - Epoch(train) [36][2840/3757] lr: 1.000e-02 eta: 17:47:51 time: 0.190 data_time: 0.016 memory: 5150 grad_norm: 5.0489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7578 loss: 1.7578 2022/06/28 06:57:08 - mmengine - INFO - Epoch(train) [36][2860/3757] lr: 1.000e-02 eta: 17:47:47 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 5.6615 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9941 loss: 1.9941 2022/06/28 06:57:13 - mmengine - INFO - Epoch(train) [36][2880/3757] lr: 1.000e-02 eta: 17:47:42 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.9485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0481 loss: 2.0481 2022/06/28 06:57:18 - mmengine - INFO - Epoch(train) [36][2900/3757] lr: 1.000e-02 eta: 17:47:36 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 5.0404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0278 loss: 2.0278 2022/06/28 06:57:24 - mmengine - INFO - Epoch(train) [36][2920/3757] lr: 1.000e-02 eta: 17:47:31 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 5.7234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/06/28 06:57:29 - mmengine - INFO - Epoch(train) [36][2940/3757] lr: 1.000e-02 eta: 17:47:26 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.4389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/06/28 06:57:35 - mmengine - INFO - Epoch(train) [36][2960/3757] lr: 1.000e-02 eta: 17:47:21 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.8639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8144 loss: 1.8144 2022/06/28 06:57:40 - mmengine - INFO - Epoch(train) [36][2980/3757] lr: 1.000e-02 eta: 17:47:15 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.6077 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1026 loss: 2.1026 2022/06/28 06:57:45 - mmengine - INFO - Epoch(train) [36][3000/3757] lr: 1.000e-02 eta: 17:47:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.0123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1896 loss: 2.1896 2022/06/28 06:57:51 - mmengine - INFO - Epoch(train) [36][3020/3757] lr: 1.000e-02 eta: 17:47:05 time: 0.199 data_time: 0.021 memory: 5150 grad_norm: 5.1639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9811 loss: 1.9811 2022/06/28 06:57:56 - mmengine - INFO - Epoch(train) [36][3040/3757] lr: 1.000e-02 eta: 17:47:00 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3070 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1148 loss: 2.1148 2022/06/28 06:58:01 - mmengine - INFO - Epoch(train) [36][3060/3757] lr: 1.000e-02 eta: 17:46:55 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.2839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6948 loss: 1.6948 2022/06/28 06:58:07 - mmengine - INFO - Epoch(train) [36][3080/3757] lr: 1.000e-02 eta: 17:46:50 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.2801 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8962 loss: 1.8962 2022/06/28 06:58:12 - mmengine - INFO - Epoch(train) [36][3100/3757] lr: 1.000e-02 eta: 17:46:44 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1988 loss: 2.1988 2022/06/28 06:58:18 - mmengine - INFO - Epoch(train) [36][3120/3757] lr: 1.000e-02 eta: 17:46:40 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.3729 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0241 loss: 2.0241 2022/06/28 06:58:24 - mmengine - INFO - Epoch(train) [36][3140/3757] lr: 1.000e-02 eta: 17:46:35 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 5.8328 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6851 loss: 1.6851 2022/06/28 06:58:28 - mmengine - INFO - Epoch(train) [36][3160/3757] lr: 1.000e-02 eta: 17:46:29 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.8336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.6318 loss: 2.6318 2022/06/28 06:58:34 - mmengine - INFO - Epoch(train) [36][3180/3757] lr: 1.000e-02 eta: 17:46:23 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 5.7805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9043 loss: 1.9043 2022/06/28 06:58:39 - mmengine - INFO - Epoch(train) [36][3200/3757] lr: 1.000e-02 eta: 17:46:18 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.2331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7404 loss: 1.7404 2022/06/28 06:58:44 - mmengine - INFO - Epoch(train) [36][3220/3757] lr: 1.000e-02 eta: 17:46:12 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.1375 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.9250 loss: 1.9250 2022/06/28 06:58:49 - mmengine - INFO - Epoch(train) [36][3240/3757] lr: 1.000e-02 eta: 17:46:07 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1777 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0134 loss: 2.0134 2022/06/28 06:58:55 - mmengine - INFO - Epoch(train) [36][3260/3757] lr: 1.000e-02 eta: 17:46:02 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.6345 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1955 loss: 2.1955 2022/06/28 06:59:00 - mmengine - INFO - Epoch(train) [36][3280/3757] lr: 1.000e-02 eta: 17:45:57 time: 0.924 data_time: 0.008 memory: 5150 grad_norm: 6.2298 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4422 loss: 2.4422 2022/06/28 06:59:05 - mmengine - INFO - Epoch(train) [36][3300/3757] lr: 1.000e-02 eta: 17:45:50 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.2391 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0811 loss: 2.0811 2022/06/28 06:59:11 - mmengine - INFO - Epoch(train) [36][3320/3757] lr: 1.000e-02 eta: 17:45:47 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 6.3486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/06/28 06:59:17 - mmengine - INFO - Epoch(train) [36][3340/3757] lr: 1.000e-02 eta: 17:45:42 time: 0.964 data_time: 0.008 memory: 5150 grad_norm: 5.5588 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1750 loss: 2.1750 2022/06/28 06:59:22 - mmengine - INFO - Epoch(train) [36][3360/3757] lr: 1.000e-02 eta: 17:45:36 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.8749 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8783 loss: 1.8783 2022/06/28 06:59:27 - mmengine - INFO - Epoch(train) [36][3380/3757] lr: 1.000e-02 eta: 17:45:31 time: 0.189 data_time: 0.010 memory: 5150 grad_norm: 5.8368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7973 loss: 1.7973 2022/06/28 06:59:33 - mmengine - INFO - Epoch(train) [36][3400/3757] lr: 1.000e-02 eta: 17:45:26 time: 0.867 data_time: 0.011 memory: 5150 grad_norm: 5.4608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0148 loss: 2.0148 2022/06/28 06:59:37 - mmengine - INFO - Epoch(train) [36][3420/3757] lr: 1.000e-02 eta: 17:45:19 time: 0.198 data_time: 0.023 memory: 5150 grad_norm: 5.5200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8857 loss: 1.8857 2022/06/28 06:59:43 - mmengine - INFO - Epoch(train) [36][3440/3757] lr: 1.000e-02 eta: 17:45:14 time: 0.222 data_time: 0.051 memory: 5150 grad_norm: 5.5834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0535 loss: 2.0535 2022/06/28 06:59:48 - mmengine - INFO - Epoch(train) [36][3460/3757] lr: 1.000e-02 eta: 17:45:09 time: 0.604 data_time: 0.007 memory: 5150 grad_norm: 6.2659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7631 loss: 1.7631 2022/06/28 06:59:53 - mmengine - INFO - Epoch(train) [36][3480/3757] lr: 1.000e-02 eta: 17:45:03 time: 0.291 data_time: 0.019 memory: 5150 grad_norm: 5.9840 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8670 loss: 1.8670 2022/06/28 06:59:59 - mmengine - INFO - Epoch(train) [36][3500/3757] lr: 1.000e-02 eta: 17:44:58 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.7510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7995 loss: 1.7995 2022/06/28 07:00:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:00:04 - mmengine - INFO - Epoch(train) [36][3520/3757] lr: 1.000e-02 eta: 17:44:53 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.4589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4996 loss: 1.4996 2022/06/28 07:00:10 - mmengine - INFO - Epoch(train) [36][3540/3757] lr: 1.000e-02 eta: 17:44:48 time: 0.201 data_time: 0.026 memory: 5150 grad_norm: 4.9806 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0524 loss: 2.0524 2022/06/28 07:00:15 - mmengine - INFO - Epoch(train) [36][3560/3757] lr: 1.000e-02 eta: 17:44:43 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 5.6651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2813 loss: 2.2813 2022/06/28 07:00:20 - mmengine - INFO - Epoch(train) [36][3580/3757] lr: 1.000e-02 eta: 17:44:38 time: 0.367 data_time: 0.007 memory: 5150 grad_norm: 5.6257 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5478 loss: 2.5478 2022/06/28 07:00:26 - mmengine - INFO - Epoch(train) [36][3600/3757] lr: 1.000e-02 eta: 17:44:33 time: 0.512 data_time: 0.344 memory: 5150 grad_norm: 6.0378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9340 loss: 1.9340 2022/06/28 07:00:31 - mmengine - INFO - Epoch(train) [36][3620/3757] lr: 1.000e-02 eta: 17:44:27 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.4683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/06/28 07:00:36 - mmengine - INFO - Epoch(train) [36][3640/3757] lr: 1.000e-02 eta: 17:44:22 time: 0.915 data_time: 0.007 memory: 5150 grad_norm: 5.5282 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9613 loss: 1.9613 2022/06/28 07:00:41 - mmengine - INFO - Epoch(train) [36][3660/3757] lr: 1.000e-02 eta: 17:44:15 time: 0.220 data_time: 0.047 memory: 5150 grad_norm: 6.2601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5795 loss: 1.5795 2022/06/28 07:00:47 - mmengine - INFO - Epoch(train) [36][3680/3757] lr: 1.000e-02 eta: 17:44:11 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.1390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7894 loss: 1.7894 2022/06/28 07:00:52 - mmengine - INFO - Epoch(train) [36][3700/3757] lr: 1.000e-02 eta: 17:44:06 time: 0.520 data_time: 0.008 memory: 5150 grad_norm: 5.5260 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.7578 loss: 1.7578 2022/06/28 07:00:58 - mmengine - INFO - Epoch(train) [36][3720/3757] lr: 1.000e-02 eta: 17:44:01 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.3801 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9988 loss: 1.9988 2022/06/28 07:01:03 - mmengine - INFO - Epoch(train) [36][3740/3757] lr: 1.000e-02 eta: 17:43:56 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.8439 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.3136 loss: 2.3136 2022/06/28 07:01:06 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:01:40 - mmengine - INFO - Epoch(val) [36][20/310] eta: 0:05:46 time: 1.078 data_time: 0.429 memory: 9746 2022/06/28 07:02:02 - mmengine - INFO - Epoch(val) [36][40/310] eta: 0:04:54 time: 1.000 data_time: 0.344 memory: 9746 2022/06/28 07:02:25 - mmengine - INFO - Epoch(val) [36][60/310] eta: 0:04:23 time: 1.136 data_time: 0.493 memory: 9746 2022/06/28 07:02:49 - mmengine - INFO - Epoch(val) [36][80/310] eta: 0:05:01 time: 1.041 data_time: 0.374 memory: 9746 2022/06/28 07:03:13 - mmengine - INFO - Epoch(val) [36][100/310] eta: 0:04:16 time: 2.557 data_time: 1.881 memory: 9746 2022/06/28 07:03:34 - mmengine - INFO - Epoch(val) [36][120/310] eta: 0:03:22 time: 1.137 data_time: 0.504 memory: 9746 2022/06/28 07:03:58 - mmengine - INFO - Epoch(val) [36][140/310] eta: 0:03:10 time: 1.095 data_time: 0.451 memory: 9746 2022/06/28 07:04:23 - mmengine - INFO - Epoch(val) [36][160/310] eta: 0:03:17 time: 3.807 data_time: 3.132 memory: 9746 2022/06/28 07:04:46 - mmengine - INFO - Epoch(val) [36][180/310] eta: 0:02:45 time: 0.976 data_time: 0.343 memory: 9746 2022/06/28 07:05:09 - mmengine - INFO - Epoch(val) [36][200/310] eta: 0:02:09 time: 1.046 data_time: 0.389 memory: 9746 2022/06/28 07:05:30 - mmengine - INFO - Epoch(val) [36][220/310] eta: 0:01:36 time: 1.107 data_time: 0.447 memory: 9746 2022/06/28 07:05:51 - mmengine - INFO - Epoch(val) [36][240/310] eta: 0:01:12 time: 0.991 data_time: 0.335 memory: 9746 2022/06/28 07:06:15 - mmengine - INFO - Epoch(val) [36][260/310] eta: 0:00:59 time: 1.087 data_time: 0.433 memory: 9746 2022/06/28 07:06:38 - mmengine - INFO - Epoch(val) [36][280/310] eta: 0:00:33 time: 1.805 data_time: 1.157 memory: 9746 2022/06/28 07:06:57 - mmengine - INFO - Epoch(val) [36][300/310] eta: 0:00:08 time: 0.643 data_time: 0.076 memory: 9746 2022/06/28 07:07:09 - mmengine - INFO - Epoch(val) [36][310/310] acc/top1: 0.6172 acc/top5: 0.8451 acc/mean1: 0.6171 2022/06/28 07:07:17 - mmengine - INFO - Epoch(train) [37][20/3757] lr: 1.000e-02 eta: 17:43:47 time: 0.200 data_time: 0.011 memory: 9746 grad_norm: 4.8570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7902 loss: 1.7902 2022/06/28 07:07:23 - mmengine - INFO - Epoch(train) [37][40/3757] lr: 1.000e-02 eta: 17:43:43 time: 0.385 data_time: 0.007 memory: 5150 grad_norm: 6.2735 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8513 loss: 1.8513 2022/06/28 07:07:28 - mmengine - INFO - Epoch(train) [37][60/3757] lr: 1.000e-02 eta: 17:43:36 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.7970 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8147 loss: 1.8147 2022/06/28 07:07:33 - mmengine - INFO - Epoch(train) [37][80/3757] lr: 1.000e-02 eta: 17:43:31 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.8950 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2763 loss: 2.2763 2022/06/28 07:07:39 - mmengine - INFO - Epoch(train) [37][100/3757] lr: 1.000e-02 eta: 17:43:27 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 5.9663 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 2.0147 loss: 2.0147 2022/06/28 07:07:44 - mmengine - INFO - Epoch(train) [37][120/3757] lr: 1.000e-02 eta: 17:43:21 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.4492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2647 loss: 2.2647 2022/06/28 07:07:50 - mmengine - INFO - Epoch(train) [37][140/3757] lr: 1.000e-02 eta: 17:43:16 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.5349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2618 loss: 2.2618 2022/06/28 07:07:56 - mmengine - INFO - Epoch(train) [37][160/3757] lr: 1.000e-02 eta: 17:43:12 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.1234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8086 loss: 1.8086 2022/06/28 07:08:01 - mmengine - INFO - Epoch(train) [37][180/3757] lr: 1.000e-02 eta: 17:43:06 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9813 loss: 1.9813 2022/06/28 07:08:07 - mmengine - INFO - Epoch(train) [37][200/3757] lr: 1.000e-02 eta: 17:43:02 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.9059 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6734 loss: 1.6734 2022/06/28 07:08:12 - mmengine - INFO - Epoch(train) [37][220/3757] lr: 1.000e-02 eta: 17:42:57 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.9995 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2164 loss: 2.2164 2022/06/28 07:08:17 - mmengine - INFO - Epoch(train) [37][240/3757] lr: 1.000e-02 eta: 17:42:50 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 5.2939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9803 loss: 1.9803 2022/06/28 07:08:22 - mmengine - INFO - Epoch(train) [37][260/3757] lr: 1.000e-02 eta: 17:42:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1318 loss: 2.1318 2022/06/28 07:08:28 - mmengine - INFO - Epoch(train) [37][280/3757] lr: 1.000e-02 eta: 17:42:40 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.8192 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2032 loss: 2.2032 2022/06/28 07:08:33 - mmengine - INFO - Epoch(train) [37][300/3757] lr: 1.000e-02 eta: 17:42:34 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.4322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2611 loss: 2.2611 2022/06/28 07:08:38 - mmengine - INFO - Epoch(train) [37][320/3757] lr: 1.000e-02 eta: 17:42:28 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 6.1701 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1958 loss: 2.1958 2022/06/28 07:08:43 - mmengine - INFO - Epoch(train) [37][340/3757] lr: 1.000e-02 eta: 17:42:23 time: 0.231 data_time: 0.010 memory: 5150 grad_norm: 5.2794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8186 loss: 1.8186 2022/06/28 07:08:49 - mmengine - INFO - Epoch(train) [37][360/3757] lr: 1.000e-02 eta: 17:42:19 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3399 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.0786 loss: 2.0786 2022/06/28 07:08:54 - mmengine - INFO - Epoch(train) [37][380/3757] lr: 1.000e-02 eta: 17:42:12 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 5.6723 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0195 loss: 2.0195 2022/06/28 07:08:59 - mmengine - INFO - Epoch(train) [37][400/3757] lr: 1.000e-02 eta: 17:42:07 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.2927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9174 loss: 1.9174 2022/06/28 07:09:04 - mmengine - INFO - Epoch(train) [37][420/3757] lr: 1.000e-02 eta: 17:42:02 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.7627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3680 loss: 1.3680 2022/06/28 07:09:10 - mmengine - INFO - Epoch(train) [37][440/3757] lr: 1.000e-02 eta: 17:41:57 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.5179 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9589 loss: 1.9589 2022/06/28 07:09:15 - mmengine - INFO - Epoch(train) [37][460/3757] lr: 1.000e-02 eta: 17:41:52 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 5.3872 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1349 loss: 2.1349 2022/06/28 07:09:21 - mmengine - INFO - Epoch(train) [37][480/3757] lr: 1.000e-02 eta: 17:41:47 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.7326 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9967 loss: 1.9967 2022/06/28 07:09:26 - mmengine - INFO - Epoch(train) [37][500/3757] lr: 1.000e-02 eta: 17:41:41 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.5134 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1795 loss: 2.1795 2022/06/28 07:09:32 - mmengine - INFO - Epoch(train) [37][520/3757] lr: 1.000e-02 eta: 17:41:37 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.1576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6896 loss: 1.6896 2022/06/28 07:09:37 - mmengine - INFO - Epoch(train) [37][540/3757] lr: 1.000e-02 eta: 17:41:31 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.0937 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1081 loss: 2.1081 2022/06/28 07:09:43 - mmengine - INFO - Epoch(train) [37][560/3757] lr: 1.000e-02 eta: 17:41:26 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.0726 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9108 loss: 1.9108 2022/06/28 07:09:48 - mmengine - INFO - Epoch(train) [37][580/3757] lr: 1.000e-02 eta: 17:41:21 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.6579 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8174 loss: 1.8174 2022/06/28 07:09:53 - mmengine - INFO - Epoch(train) [37][600/3757] lr: 1.000e-02 eta: 17:41:15 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 7.1250 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3581 loss: 2.3581 2022/06/28 07:09:58 - mmengine - INFO - Epoch(train) [37][620/3757] lr: 1.000e-02 eta: 17:41:09 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.9456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3888 loss: 2.3888 2022/06/28 07:10:04 - mmengine - INFO - Epoch(train) [37][640/3757] lr: 1.000e-02 eta: 17:41:06 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 5.7333 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9904 loss: 1.9904 2022/06/28 07:10:09 - mmengine - INFO - Epoch(train) [37][660/3757] lr: 1.000e-02 eta: 17:40:59 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 5.2568 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7025 loss: 1.7025 2022/06/28 07:10:15 - mmengine - INFO - Epoch(train) [37][680/3757] lr: 1.000e-02 eta: 17:40:55 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.4748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5656 loss: 1.5656 2022/06/28 07:10:20 - mmengine - INFO - Epoch(train) [37][700/3757] lr: 1.000e-02 eta: 17:40:50 time: 0.195 data_time: 0.018 memory: 5150 grad_norm: 5.7295 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2229 loss: 2.2229 2022/06/28 07:10:26 - mmengine - INFO - Epoch(train) [37][720/3757] lr: 1.000e-02 eta: 17:40:44 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9229 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2307 loss: 2.2307 2022/06/28 07:10:30 - mmengine - INFO - Epoch(train) [37][740/3757] lr: 1.000e-02 eta: 17:40:38 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.2403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0457 loss: 2.0457 2022/06/28 07:10:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:10:36 - mmengine - INFO - Epoch(train) [37][760/3757] lr: 1.000e-02 eta: 17:40:33 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 5.2528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5466 loss: 1.5466 2022/06/28 07:10:40 - mmengine - INFO - Epoch(train) [37][780/3757] lr: 1.000e-02 eta: 17:40:27 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8458 loss: 1.8458 2022/06/28 07:10:46 - mmengine - INFO - Epoch(train) [37][800/3757] lr: 1.000e-02 eta: 17:40:22 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.6676 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/06/28 07:10:51 - mmengine - INFO - Epoch(train) [37][820/3757] lr: 1.000e-02 eta: 17:40:16 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.4131 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6413 loss: 1.6413 2022/06/28 07:10:57 - mmengine - INFO - Epoch(train) [37][840/3757] lr: 1.000e-02 eta: 17:40:11 time: 0.196 data_time: 0.006 memory: 5150 grad_norm: 5.8634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0333 loss: 2.0333 2022/06/28 07:11:02 - mmengine - INFO - Epoch(train) [37][860/3757] lr: 1.000e-02 eta: 17:40:06 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 6.1413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1868 loss: 2.1868 2022/06/28 07:11:07 - mmengine - INFO - Epoch(train) [37][880/3757] lr: 1.000e-02 eta: 17:40:00 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6983 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9216 loss: 1.9216 2022/06/28 07:11:13 - mmengine - INFO - Epoch(train) [37][900/3757] lr: 1.000e-02 eta: 17:39:55 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9997 loss: 1.9997 2022/06/28 07:11:18 - mmengine - INFO - Epoch(train) [37][920/3757] lr: 1.000e-02 eta: 17:39:50 time: 0.211 data_time: 0.019 memory: 5150 grad_norm: 5.1017 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6891 loss: 1.6891 2022/06/28 07:11:23 - mmengine - INFO - Epoch(train) [37][940/3757] lr: 1.000e-02 eta: 17:39:44 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.6838 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1286 loss: 2.1286 2022/06/28 07:11:29 - mmengine - INFO - Epoch(train) [37][960/3757] lr: 1.000e-02 eta: 17:39:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.8216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7559 loss: 1.7559 2022/06/28 07:11:34 - mmengine - INFO - Epoch(train) [37][980/3757] lr: 1.000e-02 eta: 17:39:35 time: 0.202 data_time: 0.028 memory: 5150 grad_norm: 5.4818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8429 loss: 1.8429 2022/06/28 07:11:40 - mmengine - INFO - Epoch(train) [37][1000/3757] lr: 1.000e-02 eta: 17:39:29 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.2907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2693 loss: 2.2693 2022/06/28 07:11:45 - mmengine - INFO - Epoch(train) [37][1020/3757] lr: 1.000e-02 eta: 17:39:25 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0415 loss: 2.0415 2022/06/28 07:11:51 - mmengine - INFO - Epoch(train) [37][1040/3757] lr: 1.000e-02 eta: 17:39:20 time: 0.203 data_time: 0.027 memory: 5150 grad_norm: 5.6709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4175 loss: 2.4175 2022/06/28 07:11:56 - mmengine - INFO - Epoch(train) [37][1060/3757] lr: 1.000e-02 eta: 17:39:14 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.9849 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8650 loss: 1.8650 2022/06/28 07:12:01 - mmengine - INFO - Epoch(train) [37][1080/3757] lr: 1.000e-02 eta: 17:39:09 time: 0.535 data_time: 0.007 memory: 5150 grad_norm: 6.1673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0136 loss: 2.0136 2022/06/28 07:12:07 - mmengine - INFO - Epoch(train) [37][1100/3757] lr: 1.000e-02 eta: 17:39:04 time: 0.202 data_time: 0.035 memory: 5150 grad_norm: 6.1021 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0664 loss: 2.0664 2022/06/28 07:12:12 - mmengine - INFO - Epoch(train) [37][1120/3757] lr: 1.000e-02 eta: 17:38:58 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 5.5577 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0383 loss: 2.0383 2022/06/28 07:12:17 - mmengine - INFO - Epoch(train) [37][1140/3757] lr: 1.000e-02 eta: 17:38:53 time: 0.747 data_time: 0.007 memory: 5150 grad_norm: 6.2361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/06/28 07:12:22 - mmengine - INFO - Epoch(train) [37][1160/3757] lr: 1.000e-02 eta: 17:38:47 time: 0.210 data_time: 0.030 memory: 5150 grad_norm: 5.0657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7847 loss: 1.7847 2022/06/28 07:12:28 - mmengine - INFO - Epoch(train) [37][1180/3757] lr: 1.000e-02 eta: 17:38:42 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.1160 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8308 loss: 1.8308 2022/06/28 07:12:34 - mmengine - INFO - Epoch(train) [37][1200/3757] lr: 1.000e-02 eta: 17:38:38 time: 1.225 data_time: 0.007 memory: 5150 grad_norm: 6.3981 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6579 loss: 1.6579 2022/06/28 07:12:39 - mmengine - INFO - Epoch(train) [37][1220/3757] lr: 1.000e-02 eta: 17:38:32 time: 0.196 data_time: 0.024 memory: 5150 grad_norm: 6.1175 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1183 loss: 2.1183 2022/06/28 07:12:44 - mmengine - INFO - Epoch(train) [37][1240/3757] lr: 1.000e-02 eta: 17:38:26 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 5.1123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0493 loss: 2.0493 2022/06/28 07:12:50 - mmengine - INFO - Epoch(train) [37][1260/3757] lr: 1.000e-02 eta: 17:38:22 time: 0.903 data_time: 0.008 memory: 5150 grad_norm: 5.6441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6378 loss: 1.6378 2022/06/28 07:12:55 - mmengine - INFO - Epoch(train) [37][1280/3757] lr: 1.000e-02 eta: 17:38:16 time: 0.201 data_time: 0.030 memory: 5150 grad_norm: 5.9089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9675 loss: 1.9675 2022/06/28 07:13:00 - mmengine - INFO - Epoch(train) [37][1300/3757] lr: 1.000e-02 eta: 17:38:11 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7914 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8699 loss: 1.8699 2022/06/28 07:13:06 - mmengine - INFO - Epoch(train) [37][1320/3757] lr: 1.000e-02 eta: 17:38:06 time: 0.789 data_time: 0.007 memory: 5150 grad_norm: 5.0565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1437 loss: 2.1437 2022/06/28 07:13:10 - mmengine - INFO - Epoch(train) [37][1340/3757] lr: 1.000e-02 eta: 17:37:59 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.0353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7057 loss: 1.7057 2022/06/28 07:13:16 - mmengine - INFO - Epoch(train) [37][1360/3757] lr: 1.000e-02 eta: 17:37:54 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.0070 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.4010 loss: 2.4010 2022/06/28 07:13:21 - mmengine - INFO - Epoch(train) [37][1380/3757] lr: 1.000e-02 eta: 17:37:48 time: 0.331 data_time: 0.008 memory: 5150 grad_norm: 5.7353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9721 loss: 1.9721 2022/06/28 07:13:26 - mmengine - INFO - Epoch(train) [37][1400/3757] lr: 1.000e-02 eta: 17:37:43 time: 0.196 data_time: 0.019 memory: 5150 grad_norm: 5.7678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2653 loss: 2.2653 2022/06/28 07:13:32 - mmengine - INFO - Epoch(train) [37][1420/3757] lr: 1.000e-02 eta: 17:37:38 time: 0.491 data_time: 0.014 memory: 5150 grad_norm: 5.3932 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3724 loss: 2.3724 2022/06/28 07:13:37 - mmengine - INFO - Epoch(train) [37][1440/3757] lr: 1.000e-02 eta: 17:37:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.0281 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2081 loss: 2.2081 2022/06/28 07:13:42 - mmengine - INFO - Epoch(train) [37][1460/3757] lr: 1.000e-02 eta: 17:37:28 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 4.7875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6593 loss: 1.6593 2022/06/28 07:13:48 - mmengine - INFO - Epoch(train) [37][1480/3757] lr: 1.000e-02 eta: 17:37:23 time: 0.958 data_time: 0.011 memory: 5150 grad_norm: 5.8608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2059 loss: 2.2059 2022/06/28 07:13:53 - mmengine - INFO - Epoch(train) [37][1500/3757] lr: 1.000e-02 eta: 17:37:17 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.4632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8419 loss: 1.8419 2022/06/28 07:13:58 - mmengine - INFO - Epoch(train) [37][1520/3757] lr: 1.000e-02 eta: 17:37:12 time: 0.219 data_time: 0.015 memory: 5150 grad_norm: 5.3379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0313 loss: 2.0313 2022/06/28 07:14:03 - mmengine - INFO - Epoch(train) [37][1540/3757] lr: 1.000e-02 eta: 17:37:06 time: 0.486 data_time: 0.013 memory: 5150 grad_norm: 5.9319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2508 loss: 2.2508 2022/06/28 07:14:09 - mmengine - INFO - Epoch(train) [37][1560/3757] lr: 1.000e-02 eta: 17:37:01 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1403 loss: 2.1403 2022/06/28 07:14:14 - mmengine - INFO - Epoch(train) [37][1580/3757] lr: 1.000e-02 eta: 17:36:56 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.0333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6186 loss: 1.6186 2022/06/28 07:14:19 - mmengine - INFO - Epoch(train) [37][1600/3757] lr: 1.000e-02 eta: 17:36:50 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.6060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8583 loss: 1.8583 2022/06/28 07:14:25 - mmengine - INFO - Epoch(train) [37][1620/3757] lr: 1.000e-02 eta: 17:36:45 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 6.5236 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7922 loss: 1.7922 2022/06/28 07:14:30 - mmengine - INFO - Epoch(train) [37][1640/3757] lr: 1.000e-02 eta: 17:36:40 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2990 loss: 2.2990 2022/06/28 07:14:35 - mmengine - INFO - Epoch(train) [37][1660/3757] lr: 1.000e-02 eta: 17:36:34 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.4160 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0995 loss: 2.0995 2022/06/28 07:14:41 - mmengine - INFO - Epoch(train) [37][1680/3757] lr: 1.000e-02 eta: 17:36:29 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.4009 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8470 loss: 1.8470 2022/06/28 07:14:46 - mmengine - INFO - Epoch(train) [37][1700/3757] lr: 1.000e-02 eta: 17:36:24 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.8711 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3222 loss: 2.3222 2022/06/28 07:14:52 - mmengine - INFO - Epoch(train) [37][1720/3757] lr: 1.000e-02 eta: 17:36:19 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.4853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8857 loss: 1.8857 2022/06/28 07:14:57 - mmengine - INFO - Epoch(train) [37][1740/3757] lr: 1.000e-02 eta: 17:36:14 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.1311 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4381 loss: 1.4381 2022/06/28 07:14:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:15:03 - mmengine - INFO - Epoch(train) [37][1760/3757] lr: 1.000e-02 eta: 17:36:09 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.3017 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6193 loss: 1.6193 2022/06/28 07:15:08 - mmengine - INFO - Epoch(train) [37][1780/3757] lr: 1.000e-02 eta: 17:36:03 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9123 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3016 loss: 2.3016 2022/06/28 07:15:13 - mmengine - INFO - Epoch(train) [37][1800/3757] lr: 1.000e-02 eta: 17:35:58 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7411 loss: 1.7411 2022/06/28 07:15:19 - mmengine - INFO - Epoch(train) [37][1820/3757] lr: 1.000e-02 eta: 17:35:54 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.0265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1012 loss: 2.1012 2022/06/28 07:15:24 - mmengine - INFO - Epoch(train) [37][1840/3757] lr: 1.000e-02 eta: 17:35:47 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.5483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3421 loss: 2.3421 2022/06/28 07:15:29 - mmengine - INFO - Epoch(train) [37][1860/3757] lr: 1.000e-02 eta: 17:35:43 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4107 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1332 loss: 2.1332 2022/06/28 07:15:35 - mmengine - INFO - Epoch(train) [37][1880/3757] lr: 1.000e-02 eta: 17:35:38 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4773 loss: 1.4773 2022/06/28 07:15:40 - mmengine - INFO - Epoch(train) [37][1900/3757] lr: 1.000e-02 eta: 17:35:32 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2392 loss: 2.2392 2022/06/28 07:15:45 - mmengine - INFO - Epoch(train) [37][1920/3757] lr: 1.000e-02 eta: 17:35:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.6240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.5126 loss: 2.5126 2022/06/28 07:15:51 - mmengine - INFO - Epoch(train) [37][1940/3757] lr: 1.000e-02 eta: 17:35:22 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.1600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6591 loss: 1.6591 2022/06/28 07:15:56 - mmengine - INFO - Epoch(train) [37][1960/3757] lr: 1.000e-02 eta: 17:35:16 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.8286 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9143 loss: 1.9143 2022/06/28 07:16:01 - mmengine - INFO - Epoch(train) [37][1980/3757] lr: 1.000e-02 eta: 17:35:11 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.3540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6190 loss: 1.6190 2022/06/28 07:16:07 - mmengine - INFO - Epoch(train) [37][2000/3757] lr: 1.000e-02 eta: 17:35:06 time: 0.232 data_time: 0.011 memory: 5150 grad_norm: 4.6819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8256 loss: 1.8256 2022/06/28 07:16:12 - mmengine - INFO - Epoch(train) [37][2020/3757] lr: 1.000e-02 eta: 17:35:00 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.8308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7636 loss: 1.7636 2022/06/28 07:16:18 - mmengine - INFO - Epoch(train) [37][2040/3757] lr: 1.000e-02 eta: 17:34:56 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1639 loss: 2.1639 2022/06/28 07:16:23 - mmengine - INFO - Epoch(train) [37][2060/3757] lr: 1.000e-02 eta: 17:34:51 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 5.7775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2128 loss: 2.2128 2022/06/28 07:16:28 - mmengine - INFO - Epoch(train) [37][2080/3757] lr: 1.000e-02 eta: 17:34:45 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3595 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4183 loss: 2.4183 2022/06/28 07:16:34 - mmengine - INFO - Epoch(train) [37][2100/3757] lr: 1.000e-02 eta: 17:34:40 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.0816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2839 loss: 2.2839 2022/06/28 07:16:39 - mmengine - INFO - Epoch(train) [37][2120/3757] lr: 1.000e-02 eta: 17:34:34 time: 0.226 data_time: 0.012 memory: 5150 grad_norm: 5.4634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8276 loss: 1.8276 2022/06/28 07:16:44 - mmengine - INFO - Epoch(train) [37][2140/3757] lr: 1.000e-02 eta: 17:34:29 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.4541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2270 loss: 2.2270 2022/06/28 07:16:50 - mmengine - INFO - Epoch(train) [37][2160/3757] lr: 1.000e-02 eta: 17:34:25 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5225 loss: 2.5225 2022/06/28 07:16:55 - mmengine - INFO - Epoch(train) [37][2180/3757] lr: 1.000e-02 eta: 17:34:19 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2570 loss: 2.2570 2022/06/28 07:17:00 - mmengine - INFO - Epoch(train) [37][2200/3757] lr: 1.000e-02 eta: 17:34:14 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6497 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9609 loss: 1.9609 2022/06/28 07:17:06 - mmengine - INFO - Epoch(train) [37][2220/3757] lr: 1.000e-02 eta: 17:34:08 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0253 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0674 loss: 2.0674 2022/06/28 07:17:11 - mmengine - INFO - Epoch(train) [37][2240/3757] lr: 1.000e-02 eta: 17:34:03 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 5.4302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7106 loss: 1.7106 2022/06/28 07:17:16 - mmengine - INFO - Epoch(train) [37][2260/3757] lr: 1.000e-02 eta: 17:33:58 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8570 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9611 loss: 1.9611 2022/06/28 07:17:22 - mmengine - INFO - Epoch(train) [37][2280/3757] lr: 1.000e-02 eta: 17:33:52 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5751 loss: 1.5751 2022/06/28 07:17:27 - mmengine - INFO - Epoch(train) [37][2300/3757] lr: 1.000e-02 eta: 17:33:47 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.3781 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1567 loss: 2.1567 2022/06/28 07:17:32 - mmengine - INFO - Epoch(train) [37][2320/3757] lr: 1.000e-02 eta: 17:33:40 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.0317 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0600 loss: 2.0600 2022/06/28 07:17:37 - mmengine - INFO - Epoch(train) [37][2340/3757] lr: 1.000e-02 eta: 17:33:35 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7632 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1595 loss: 2.1595 2022/06/28 07:17:42 - mmengine - INFO - Epoch(train) [37][2360/3757] lr: 1.000e-02 eta: 17:33:29 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.6319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9400 loss: 1.9400 2022/06/28 07:17:47 - mmengine - INFO - Epoch(train) [37][2380/3757] lr: 1.000e-02 eta: 17:33:24 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 4.9124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7287 loss: 1.7287 2022/06/28 07:17:53 - mmengine - INFO - Epoch(train) [37][2400/3757] lr: 1.000e-02 eta: 17:33:19 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1581 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8097 loss: 1.8097 2022/06/28 07:17:58 - mmengine - INFO - Epoch(train) [37][2420/3757] lr: 1.000e-02 eta: 17:33:13 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.7515 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1050 loss: 2.1050 2022/06/28 07:18:04 - mmengine - INFO - Epoch(train) [37][2440/3757] lr: 1.000e-02 eta: 17:33:08 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.8134 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3422 loss: 2.3422 2022/06/28 07:18:09 - mmengine - INFO - Epoch(train) [37][2460/3757] lr: 1.000e-02 eta: 17:33:03 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0774 loss: 2.0774 2022/06/28 07:18:14 - mmengine - INFO - Epoch(train) [37][2480/3757] lr: 1.000e-02 eta: 17:32:57 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5332 loss: 2.5332 2022/06/28 07:18:19 - mmengine - INFO - Epoch(train) [37][2500/3757] lr: 1.000e-02 eta: 17:32:52 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.7947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7116 loss: 1.7116 2022/06/28 07:18:25 - mmengine - INFO - Epoch(train) [37][2520/3757] lr: 1.000e-02 eta: 17:32:47 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.4114 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0624 loss: 2.0624 2022/06/28 07:18:30 - mmengine - INFO - Epoch(train) [37][2540/3757] lr: 1.000e-02 eta: 17:32:42 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 5.5172 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2147 loss: 2.2147 2022/06/28 07:18:35 - mmengine - INFO - Epoch(train) [37][2560/3757] lr: 1.000e-02 eta: 17:32:37 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8078 loss: 1.8078 2022/06/28 07:18:41 - mmengine - INFO - Epoch(train) [37][2580/3757] lr: 1.000e-02 eta: 17:32:31 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.5578 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.8636 loss: 1.8636 2022/06/28 07:18:46 - mmengine - INFO - Epoch(train) [37][2600/3757] lr: 1.000e-02 eta: 17:32:27 time: 0.432 data_time: 0.008 memory: 5150 grad_norm: 6.3326 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0427 loss: 2.0427 2022/06/28 07:18:52 - mmengine - INFO - Epoch(train) [37][2620/3757] lr: 1.000e-02 eta: 17:32:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0542 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8267 loss: 1.8267 2022/06/28 07:18:57 - mmengine - INFO - Epoch(train) [37][2640/3757] lr: 1.000e-02 eta: 17:32:16 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0038 loss: 2.0038 2022/06/28 07:19:02 - mmengine - INFO - Epoch(train) [37][2660/3757] lr: 1.000e-02 eta: 17:32:11 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1374 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8844 loss: 1.8844 2022/06/28 07:19:08 - mmengine - INFO - Epoch(train) [37][2680/3757] lr: 1.000e-02 eta: 17:32:06 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.5727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9595 loss: 1.9595 2022/06/28 07:19:13 - mmengine - INFO - Epoch(train) [37][2700/3757] lr: 1.000e-02 eta: 17:32:00 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.0240 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9661 loss: 1.9661 2022/06/28 07:19:19 - mmengine - INFO - Epoch(train) [37][2720/3757] lr: 1.000e-02 eta: 17:31:56 time: 0.962 data_time: 0.008 memory: 5150 grad_norm: 6.0219 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8563 loss: 1.8563 2022/06/28 07:19:24 - mmengine - INFO - Epoch(train) [37][2740/3757] lr: 1.000e-02 eta: 17:31:50 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.0959 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8485 loss: 1.8485 2022/06/28 07:19:26 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:19:29 - mmengine - INFO - Epoch(train) [37][2760/3757] lr: 1.000e-02 eta: 17:31:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.4606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1352 loss: 2.1352 2022/06/28 07:19:35 - mmengine - INFO - Epoch(train) [37][2780/3757] lr: 1.000e-02 eta: 17:31:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1041 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7045 loss: 1.7045 2022/06/28 07:19:40 - mmengine - INFO - Epoch(train) [37][2800/3757] lr: 1.000e-02 eta: 17:31:34 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5872 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5243 loss: 2.5243 2022/06/28 07:19:45 - mmengine - INFO - Epoch(train) [37][2820/3757] lr: 1.000e-02 eta: 17:31:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2013 loss: 2.2013 2022/06/28 07:19:51 - mmengine - INFO - Epoch(train) [37][2840/3757] lr: 1.000e-02 eta: 17:31:24 time: 0.717 data_time: 0.011 memory: 5150 grad_norm: 5.6836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/06/28 07:19:56 - mmengine - INFO - Epoch(train) [37][2860/3757] lr: 1.000e-02 eta: 17:31:19 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7094 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0925 loss: 2.0925 2022/06/28 07:20:01 - mmengine - INFO - Epoch(train) [37][2880/3757] lr: 1.000e-02 eta: 17:31:13 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0402 loss: 2.0402 2022/06/28 07:20:07 - mmengine - INFO - Epoch(train) [37][2900/3757] lr: 1.000e-02 eta: 17:31:09 time: 0.679 data_time: 0.016 memory: 5150 grad_norm: 5.4513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0340 loss: 2.0340 2022/06/28 07:20:13 - mmengine - INFO - Epoch(train) [37][2920/3757] lr: 1.000e-02 eta: 17:31:04 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.2926 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2368 loss: 2.2368 2022/06/28 07:20:18 - mmengine - INFO - Epoch(train) [37][2940/3757] lr: 1.000e-02 eta: 17:30:57 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 6.4859 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8160 loss: 1.8160 2022/06/28 07:20:23 - mmengine - INFO - Epoch(train) [37][2960/3757] lr: 1.000e-02 eta: 17:30:53 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 5.9110 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.8425 loss: 1.8425 2022/06/28 07:20:29 - mmengine - INFO - Epoch(train) [37][2980/3757] lr: 1.000e-02 eta: 17:30:48 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 5.2998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9914 loss: 1.9914 2022/06/28 07:20:34 - mmengine - INFO - Epoch(train) [37][3000/3757] lr: 1.000e-02 eta: 17:30:42 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7105 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2174 loss: 2.2174 2022/06/28 07:20:39 - mmengine - INFO - Epoch(train) [37][3020/3757] lr: 1.000e-02 eta: 17:30:37 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1807 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1475 loss: 2.1475 2022/06/28 07:20:45 - mmengine - INFO - Epoch(train) [37][3040/3757] lr: 1.000e-02 eta: 17:30:32 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 5.1901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2041 loss: 2.2041 2022/06/28 07:20:50 - mmengine - INFO - Epoch(train) [37][3060/3757] lr: 1.000e-02 eta: 17:30:26 time: 0.256 data_time: 0.010 memory: 5150 grad_norm: 6.0702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0825 loss: 2.0825 2022/06/28 07:20:55 - mmengine - INFO - Epoch(train) [37][3080/3757] lr: 1.000e-02 eta: 17:30:21 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5331 loss: 1.5331 2022/06/28 07:21:01 - mmengine - INFO - Epoch(train) [37][3100/3757] lr: 1.000e-02 eta: 17:30:16 time: 0.235 data_time: 0.006 memory: 5150 grad_norm: 6.5186 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0093 loss: 2.0093 2022/06/28 07:21:06 - mmengine - INFO - Epoch(train) [37][3120/3757] lr: 1.000e-02 eta: 17:30:10 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 6.4178 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9504 loss: 1.9504 2022/06/28 07:21:11 - mmengine - INFO - Epoch(train) [37][3140/3757] lr: 1.000e-02 eta: 17:30:05 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.2607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2488 loss: 2.2488 2022/06/28 07:21:17 - mmengine - INFO - Epoch(train) [37][3160/3757] lr: 1.000e-02 eta: 17:30:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 4.7162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6607 loss: 1.6607 2022/06/28 07:21:22 - mmengine - INFO - Epoch(train) [37][3180/3757] lr: 1.000e-02 eta: 17:29:55 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.2746 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1655 loss: 2.1655 2022/06/28 07:21:27 - mmengine - INFO - Epoch(train) [37][3200/3757] lr: 1.000e-02 eta: 17:29:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0494 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1456 loss: 2.1456 2022/06/28 07:21:33 - mmengine - INFO - Epoch(train) [37][3220/3757] lr: 1.000e-02 eta: 17:29:45 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5132 loss: 1.5132 2022/06/28 07:21:38 - mmengine - INFO - Epoch(train) [37][3240/3757] lr: 1.000e-02 eta: 17:29:38 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.6137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7209 loss: 1.7209 2022/06/28 07:21:43 - mmengine - INFO - Epoch(train) [37][3260/3757] lr: 1.000e-02 eta: 17:29:33 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5729 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5052 loss: 1.5052 2022/06/28 07:21:49 - mmengine - INFO - Epoch(train) [37][3280/3757] lr: 1.000e-02 eta: 17:29:28 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 5.5100 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2533 loss: 2.2533 2022/06/28 07:21:54 - mmengine - INFO - Epoch(train) [37][3300/3757] lr: 1.000e-02 eta: 17:29:23 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 5.0285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7945 loss: 1.7945 2022/06/28 07:21:59 - mmengine - INFO - Epoch(train) [37][3320/3757] lr: 1.000e-02 eta: 17:29:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2578 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0690 loss: 2.0690 2022/06/28 07:22:04 - mmengine - INFO - Epoch(train) [37][3340/3757] lr: 1.000e-02 eta: 17:29:12 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.6223 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1120 loss: 2.1120 2022/06/28 07:22:09 - mmengine - INFO - Epoch(train) [37][3360/3757] lr: 1.000e-02 eta: 17:29:06 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.0653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6958 loss: 1.6958 2022/06/28 07:22:14 - mmengine - INFO - Epoch(train) [37][3380/3757] lr: 1.000e-02 eta: 17:29:00 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2403 loss: 2.2403 2022/06/28 07:22:20 - mmengine - INFO - Epoch(train) [37][3400/3757] lr: 1.000e-02 eta: 17:28:55 time: 0.195 data_time: 0.018 memory: 5150 grad_norm: 4.7372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7396 loss: 1.7396 2022/06/28 07:22:24 - mmengine - INFO - Epoch(train) [37][3420/3757] lr: 1.000e-02 eta: 17:28:49 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.3981 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0486 loss: 2.0486 2022/06/28 07:22:30 - mmengine - INFO - Epoch(train) [37][3440/3757] lr: 1.000e-02 eta: 17:28:44 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.5840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8772 loss: 1.8772 2022/06/28 07:22:36 - mmengine - INFO - Epoch(train) [37][3460/3757] lr: 1.000e-02 eta: 17:28:39 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 5.3968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0940 loss: 2.0940 2022/06/28 07:22:40 - mmengine - INFO - Epoch(train) [37][3480/3757] lr: 1.000e-02 eta: 17:28:33 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.6439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2997 loss: 2.2997 2022/06/28 07:22:46 - mmengine - INFO - Epoch(train) [37][3500/3757] lr: 1.000e-02 eta: 17:28:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.0038 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8908 loss: 1.8908 2022/06/28 07:22:52 - mmengine - INFO - Epoch(train) [37][3520/3757] lr: 1.000e-02 eta: 17:28:24 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 6.2930 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0551 loss: 2.0551 2022/06/28 07:22:57 - mmengine - INFO - Epoch(train) [37][3540/3757] lr: 1.000e-02 eta: 17:28:18 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.6493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0739 loss: 2.0739 2022/06/28 07:23:02 - mmengine - INFO - Epoch(train) [37][3560/3757] lr: 1.000e-02 eta: 17:28:13 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8613 loss: 1.8613 2022/06/28 07:23:08 - mmengine - INFO - Epoch(train) [37][3580/3757] lr: 1.000e-02 eta: 17:28:08 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.8648 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4327 loss: 1.4327 2022/06/28 07:23:13 - mmengine - INFO - Epoch(train) [37][3600/3757] lr: 1.000e-02 eta: 17:28:02 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.6013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8309 loss: 1.8309 2022/06/28 07:23:19 - mmengine - INFO - Epoch(train) [37][3620/3757] lr: 1.000e-02 eta: 17:27:57 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 4.8489 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9316 loss: 1.9316 2022/06/28 07:23:24 - mmengine - INFO - Epoch(train) [37][3640/3757] lr: 1.000e-02 eta: 17:27:52 time: 0.507 data_time: 0.010 memory: 5150 grad_norm: 5.3813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8454 loss: 1.8454 2022/06/28 07:23:29 - mmengine - INFO - Epoch(train) [37][3660/3757] lr: 1.000e-02 eta: 17:27:46 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.9138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9650 loss: 1.9650 2022/06/28 07:23:34 - mmengine - INFO - Epoch(train) [37][3680/3757] lr: 1.000e-02 eta: 17:27:41 time: 0.258 data_time: 0.008 memory: 5150 grad_norm: 5.8626 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7120 loss: 1.7120 2022/06/28 07:23:40 - mmengine - INFO - Epoch(train) [37][3700/3757] lr: 1.000e-02 eta: 17:27:36 time: 0.413 data_time: 0.006 memory: 5150 grad_norm: 5.0490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1271 loss: 2.1271 2022/06/28 07:23:45 - mmengine - INFO - Epoch(train) [37][3720/3757] lr: 1.000e-02 eta: 17:27:30 time: 0.304 data_time: 0.007 memory: 5150 grad_norm: 5.4766 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1724 loss: 2.1724 2022/06/28 07:23:50 - mmengine - INFO - Epoch(train) [37][3740/3757] lr: 1.000e-02 eta: 17:27:25 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.8797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6410 loss: 1.6410 2022/06/28 07:23:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:23:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:24:27 - mmengine - INFO - Epoch(val) [37][20/310] eta: 0:05:41 time: 0.970 data_time: 0.312 memory: 9746 2022/06/28 07:24:49 - mmengine - INFO - Epoch(val) [37][40/310] eta: 0:04:55 time: 1.038 data_time: 0.389 memory: 9746 2022/06/28 07:25:13 - mmengine - INFO - Epoch(val) [37][60/310] eta: 0:04:27 time: 1.156 data_time: 0.504 memory: 9746 2022/06/28 07:25:35 - mmengine - INFO - Epoch(val) [37][80/310] eta: 0:04:21 time: 0.911 data_time: 0.265 memory: 9746 2022/06/28 07:25:59 - mmengine - INFO - Epoch(val) [37][100/310] eta: 0:04:10 time: 1.318 data_time: 0.670 memory: 9746 2022/06/28 07:26:20 - mmengine - INFO - Epoch(val) [37][120/310] eta: 0:03:15 time: 1.101 data_time: 0.451 memory: 9746 2022/06/28 07:26:44 - mmengine - INFO - Epoch(val) [37][140/310] eta: 0:03:14 time: 1.014 data_time: 0.358 memory: 9746 2022/06/28 07:27:09 - mmengine - INFO - Epoch(val) [37][160/310] eta: 0:03:20 time: 3.309 data_time: 2.623 memory: 9746 2022/06/28 07:27:32 - mmengine - INFO - Epoch(val) [37][180/310] eta: 0:02:47 time: 1.028 data_time: 0.370 memory: 9746 2022/06/28 07:27:55 - mmengine - INFO - Epoch(val) [37][200/310] eta: 0:02:06 time: 1.138 data_time: 0.500 memory: 9746 2022/06/28 07:28:16 - mmengine - INFO - Epoch(val) [37][220/310] eta: 0:01:36 time: 1.201 data_time: 0.559 memory: 9746 2022/06/28 07:28:38 - mmengine - INFO - Epoch(val) [37][240/310] eta: 0:01:18 time: 0.930 data_time: 0.282 memory: 9746 2022/06/28 07:29:00 - mmengine - INFO - Epoch(val) [37][260/310] eta: 0:00:55 time: 0.899 data_time: 0.242 memory: 9746 2022/06/28 07:29:23 - mmengine - INFO - Epoch(val) [37][280/310] eta: 0:00:34 time: 1.801 data_time: 1.157 memory: 9746 2022/06/28 07:29:43 - mmengine - INFO - Epoch(val) [37][300/310] eta: 0:00:09 time: 0.728 data_time: 0.130 memory: 9746 2022/06/28 07:29:57 - mmengine - INFO - Epoch(val) [37][310/310] acc/top1: 0.6166 acc/top5: 0.8415 acc/mean1: 0.6165 2022/06/28 07:30:06 - mmengine - INFO - Epoch(train) [38][20/3757] lr: 1.000e-02 eta: 17:27:17 time: 0.193 data_time: 0.010 memory: 9746 grad_norm: 5.6144 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9752 loss: 1.9752 2022/06/28 07:30:11 - mmengine - INFO - Epoch(train) [38][40/3757] lr: 1.000e-02 eta: 17:27:12 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.5322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6848 loss: 1.6848 2022/06/28 07:30:16 - mmengine - INFO - Epoch(train) [38][60/3757] lr: 1.000e-02 eta: 17:27:06 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.5179 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7135 loss: 1.7135 2022/06/28 07:30:22 - mmengine - INFO - Epoch(train) [38][80/3757] lr: 1.000e-02 eta: 17:27:01 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.1485 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0231 loss: 2.0231 2022/06/28 07:30:27 - mmengine - INFO - Epoch(train) [38][100/3757] lr: 1.000e-02 eta: 17:26:57 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9385 loss: 1.9385 2022/06/28 07:30:32 - mmengine - INFO - Epoch(train) [38][120/3757] lr: 1.000e-02 eta: 17:26:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.8332 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0172 loss: 2.0172 2022/06/28 07:30:38 - mmengine - INFO - Epoch(train) [38][140/3757] lr: 1.000e-02 eta: 17:26:45 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3531 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2508 loss: 2.2508 2022/06/28 07:30:43 - mmengine - INFO - Epoch(train) [38][160/3757] lr: 1.000e-02 eta: 17:26:41 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.8502 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9854 loss: 1.9854 2022/06/28 07:30:48 - mmengine - INFO - Epoch(train) [38][180/3757] lr: 1.000e-02 eta: 17:26:35 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.2709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1039 loss: 2.1039 2022/06/28 07:30:53 - mmengine - INFO - Epoch(train) [38][200/3757] lr: 1.000e-02 eta: 17:26:29 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0195 loss: 2.0195 2022/06/28 07:30:59 - mmengine - INFO - Epoch(train) [38][220/3757] lr: 1.000e-02 eta: 17:26:25 time: 0.350 data_time: 0.010 memory: 5150 grad_norm: 6.0804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9449 loss: 1.9449 2022/06/28 07:31:04 - mmengine - INFO - Epoch(train) [38][240/3757] lr: 1.000e-02 eta: 17:26:19 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.8821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2689 loss: 2.2689 2022/06/28 07:31:10 - mmengine - INFO - Epoch(train) [38][260/3757] lr: 1.000e-02 eta: 17:26:14 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.4321 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3038 loss: 2.3038 2022/06/28 07:31:15 - mmengine - INFO - Epoch(train) [38][280/3757] lr: 1.000e-02 eta: 17:26:09 time: 0.381 data_time: 0.007 memory: 5150 grad_norm: 5.9824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3368 loss: 2.3368 2022/06/28 07:31:21 - mmengine - INFO - Epoch(train) [38][300/3757] lr: 1.000e-02 eta: 17:26:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0446 loss: 2.0446 2022/06/28 07:31:26 - mmengine - INFO - Epoch(train) [38][320/3757] lr: 1.000e-02 eta: 17:25:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.8721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2488 loss: 2.2488 2022/06/28 07:31:31 - mmengine - INFO - Epoch(train) [38][340/3757] lr: 1.000e-02 eta: 17:25:53 time: 0.269 data_time: 0.006 memory: 5150 grad_norm: 5.6502 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9195 loss: 1.9195 2022/06/28 07:31:37 - mmengine - INFO - Epoch(train) [38][360/3757] lr: 1.000e-02 eta: 17:25:48 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 4.7855 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5789 loss: 1.5789 2022/06/28 07:31:42 - mmengine - INFO - Epoch(train) [38][380/3757] lr: 1.000e-02 eta: 17:25:42 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.8304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/06/28 07:31:48 - mmengine - INFO - Epoch(train) [38][400/3757] lr: 1.000e-02 eta: 17:25:38 time: 0.642 data_time: 0.007 memory: 5150 grad_norm: 5.2336 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8792 loss: 1.8792 2022/06/28 07:31:53 - mmengine - INFO - Epoch(train) [38][420/3757] lr: 1.000e-02 eta: 17:25:32 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1700 loss: 2.1700 2022/06/28 07:31:59 - mmengine - INFO - Epoch(train) [38][440/3757] lr: 1.000e-02 eta: 17:25:28 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.8115 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0678 loss: 2.0678 2022/06/28 07:32:04 - mmengine - INFO - Epoch(train) [38][460/3757] lr: 1.000e-02 eta: 17:25:23 time: 1.137 data_time: 0.008 memory: 5150 grad_norm: 4.8125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7578 loss: 1.7578 2022/06/28 07:32:09 - mmengine - INFO - Epoch(train) [38][480/3757] lr: 1.000e-02 eta: 17:25:17 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.3852 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8582 loss: 1.8582 2022/06/28 07:32:15 - mmengine - INFO - Epoch(train) [38][500/3757] lr: 1.000e-02 eta: 17:25:12 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.2951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4183 loss: 2.4183 2022/06/28 07:32:20 - mmengine - INFO - Epoch(train) [38][520/3757] lr: 1.000e-02 eta: 17:25:07 time: 1.022 data_time: 0.008 memory: 5150 grad_norm: 6.5884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8936 loss: 1.8936 2022/06/28 07:32:25 - mmengine - INFO - Epoch(train) [38][540/3757] lr: 1.000e-02 eta: 17:25:00 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.3919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7531 loss: 1.7531 2022/06/28 07:32:31 - mmengine - INFO - Epoch(train) [38][560/3757] lr: 1.000e-02 eta: 17:24:56 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0898 loss: 2.0898 2022/06/28 07:32:36 - mmengine - INFO - Epoch(train) [38][580/3757] lr: 1.000e-02 eta: 17:24:51 time: 1.213 data_time: 0.008 memory: 5150 grad_norm: 6.3615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9237 loss: 1.9237 2022/06/28 07:32:41 - mmengine - INFO - Epoch(train) [38][600/3757] lr: 1.000e-02 eta: 17:24:45 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.7507 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8399 loss: 1.8399 2022/06/28 07:32:46 - mmengine - INFO - Epoch(train) [38][620/3757] lr: 1.000e-02 eta: 17:24:40 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 6.0603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0821 loss: 2.0821 2022/06/28 07:32:52 - mmengine - INFO - Epoch(train) [38][640/3757] lr: 1.000e-02 eta: 17:24:35 time: 0.857 data_time: 0.007 memory: 5150 grad_norm: 5.1129 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6839 loss: 1.6839 2022/06/28 07:32:57 - mmengine - INFO - Epoch(train) [38][660/3757] lr: 1.000e-02 eta: 17:24:29 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6315 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0093 loss: 2.0093 2022/06/28 07:33:02 - mmengine - INFO - Epoch(train) [38][680/3757] lr: 1.000e-02 eta: 17:24:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.0003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0584 loss: 2.0584 2022/06/28 07:33:08 - mmengine - INFO - Epoch(train) [38][700/3757] lr: 1.000e-02 eta: 17:24:19 time: 0.881 data_time: 0.007 memory: 5150 grad_norm: 5.3180 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.0547 loss: 2.0547 2022/06/28 07:33:13 - mmengine - INFO - Epoch(train) [38][720/3757] lr: 1.000e-02 eta: 17:24:13 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4452 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4423 loss: 2.4423 2022/06/28 07:33:18 - mmengine - INFO - Epoch(train) [38][740/3757] lr: 1.000e-02 eta: 17:24:08 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.2722 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0673 loss: 2.0673 2022/06/28 07:33:24 - mmengine - INFO - Epoch(train) [38][760/3757] lr: 1.000e-02 eta: 17:24:02 time: 0.721 data_time: 0.006 memory: 5150 grad_norm: 5.6144 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8781 loss: 1.8781 2022/06/28 07:33:28 - mmengine - INFO - Epoch(train) [38][780/3757] lr: 1.000e-02 eta: 17:23:56 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1390 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9030 loss: 1.9030 2022/06/28 07:33:35 - mmengine - INFO - Epoch(train) [38][800/3757] lr: 1.000e-02 eta: 17:23:52 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3479 loss: 2.3479 2022/06/28 07:33:40 - mmengine - INFO - Epoch(train) [38][820/3757] lr: 1.000e-02 eta: 17:23:47 time: 1.018 data_time: 0.007 memory: 5150 grad_norm: 5.6632 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7405 loss: 1.7405 2022/06/28 07:33:45 - mmengine - INFO - Epoch(train) [38][840/3757] lr: 1.000e-02 eta: 17:23:41 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8451 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8696 loss: 1.8696 2022/06/28 07:33:50 - mmengine - INFO - Epoch(train) [38][860/3757] lr: 1.000e-02 eta: 17:23:36 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.5917 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9159 loss: 1.9159 2022/06/28 07:33:56 - mmengine - INFO - Epoch(train) [38][880/3757] lr: 1.000e-02 eta: 17:23:31 time: 0.776 data_time: 0.007 memory: 5150 grad_norm: 5.8558 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6585 loss: 1.6585 2022/06/28 07:34:00 - mmengine - INFO - Epoch(train) [38][900/3757] lr: 1.000e-02 eta: 17:23:24 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1325 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8812 loss: 1.8812 2022/06/28 07:34:06 - mmengine - INFO - Epoch(train) [38][920/3757] lr: 1.000e-02 eta: 17:23:20 time: 0.222 data_time: 0.013 memory: 5150 grad_norm: 5.7672 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8480 loss: 1.8480 2022/06/28 07:34:11 - mmengine - INFO - Epoch(train) [38][940/3757] lr: 1.000e-02 eta: 17:23:14 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.6147 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0177 loss: 2.0177 2022/06/28 07:34:16 - mmengine - INFO - Epoch(train) [38][960/3757] lr: 1.000e-02 eta: 17:23:09 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.2562 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9997 loss: 1.9997 2022/06/28 07:34:22 - mmengine - INFO - Epoch(train) [38][980/3757] lr: 1.000e-02 eta: 17:23:04 time: 0.379 data_time: 0.009 memory: 5150 grad_norm: 6.3470 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1904 loss: 2.1904 2022/06/28 07:34:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:34:28 - mmengine - INFO - Epoch(train) [38][1000/3757] lr: 1.000e-02 eta: 17:22:59 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4639 loss: 2.4639 2022/06/28 07:34:32 - mmengine - INFO - Epoch(train) [38][1020/3757] lr: 1.000e-02 eta: 17:22:53 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.3718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1671 loss: 2.1671 2022/06/28 07:34:38 - mmengine - INFO - Epoch(train) [38][1040/3757] lr: 1.000e-02 eta: 17:22:48 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.8456 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1282 loss: 2.1282 2022/06/28 07:34:43 - mmengine - INFO - Epoch(train) [38][1060/3757] lr: 1.000e-02 eta: 17:22:42 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9238 loss: 1.9238 2022/06/28 07:34:48 - mmengine - INFO - Epoch(train) [38][1080/3757] lr: 1.000e-02 eta: 17:22:36 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/06/28 07:34:54 - mmengine - INFO - Epoch(train) [38][1100/3757] lr: 1.000e-02 eta: 17:22:32 time: 0.224 data_time: 0.013 memory: 5150 grad_norm: 5.4525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.0639 loss: 2.0639 2022/06/28 07:35:00 - mmengine - INFO - Epoch(train) [38][1120/3757] lr: 1.000e-02 eta: 17:22:27 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.8312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8069 loss: 1.8069 2022/06/28 07:35:05 - mmengine - INFO - Epoch(train) [38][1140/3757] lr: 1.000e-02 eta: 17:22:21 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.2794 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0013 loss: 2.0013 2022/06/28 07:35:10 - mmengine - INFO - Epoch(train) [38][1160/3757] lr: 1.000e-02 eta: 17:22:17 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 6.1586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3201 loss: 2.3201 2022/06/28 07:35:16 - mmengine - INFO - Epoch(train) [38][1180/3757] lr: 1.000e-02 eta: 17:22:11 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.3465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0150 loss: 2.0150 2022/06/28 07:35:21 - mmengine - INFO - Epoch(train) [38][1200/3757] lr: 1.000e-02 eta: 17:22:06 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.2118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0560 loss: 2.0560 2022/06/28 07:35:26 - mmengine - INFO - Epoch(train) [38][1220/3757] lr: 1.000e-02 eta: 17:22:01 time: 0.218 data_time: 0.012 memory: 5150 grad_norm: 5.8012 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9507 loss: 1.9507 2022/06/28 07:35:31 - mmengine - INFO - Epoch(train) [38][1240/3757] lr: 1.000e-02 eta: 17:21:55 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1339 loss: 2.1339 2022/06/28 07:35:36 - mmengine - INFO - Epoch(train) [38][1260/3757] lr: 1.000e-02 eta: 17:21:49 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.7368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6078 loss: 1.6078 2022/06/28 07:35:42 - mmengine - INFO - Epoch(train) [38][1280/3757] lr: 1.000e-02 eta: 17:21:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7287 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/06/28 07:35:48 - mmengine - INFO - Epoch(train) [38][1300/3757] lr: 1.000e-02 eta: 17:21:40 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 5.3847 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2235 loss: 2.2235 2022/06/28 07:35:52 - mmengine - INFO - Epoch(train) [38][1320/3757] lr: 1.000e-02 eta: 17:21:33 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.9525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1013 loss: 2.1013 2022/06/28 07:35:58 - mmengine - INFO - Epoch(train) [38][1340/3757] lr: 1.000e-02 eta: 17:21:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8976 loss: 1.8976 2022/06/28 07:36:04 - mmengine - INFO - Epoch(train) [38][1360/3757] lr: 1.000e-02 eta: 17:21:24 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 6.4089 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0266 loss: 2.0266 2022/06/28 07:36:09 - mmengine - INFO - Epoch(train) [38][1380/3757] lr: 1.000e-02 eta: 17:21:19 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.0821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/06/28 07:36:14 - mmengine - INFO - Epoch(train) [38][1400/3757] lr: 1.000e-02 eta: 17:21:13 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.3381 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1785 loss: 2.1785 2022/06/28 07:36:20 - mmengine - INFO - Epoch(train) [38][1420/3757] lr: 1.000e-02 eta: 17:21:09 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 4.7979 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1539 loss: 2.1539 2022/06/28 07:36:25 - mmengine - INFO - Epoch(train) [38][1440/3757] lr: 1.000e-02 eta: 17:21:02 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.8397 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.0401 loss: 2.0401 2022/06/28 07:36:31 - mmengine - INFO - Epoch(train) [38][1460/3757] lr: 1.000e-02 eta: 17:20:58 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4139 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0777 loss: 2.0777 2022/06/28 07:36:36 - mmengine - INFO - Epoch(train) [38][1480/3757] lr: 1.000e-02 eta: 17:20:53 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.2499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6511 loss: 1.6511 2022/06/28 07:36:41 - mmengine - INFO - Epoch(train) [38][1500/3757] lr: 1.000e-02 eta: 17:20:47 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.5589 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1254 loss: 2.1254 2022/06/28 07:36:47 - mmengine - INFO - Epoch(train) [38][1520/3757] lr: 1.000e-02 eta: 17:20:43 time: 0.222 data_time: 0.020 memory: 5150 grad_norm: 5.5923 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0389 loss: 2.0389 2022/06/28 07:36:52 - mmengine - INFO - Epoch(train) [38][1540/3757] lr: 1.000e-02 eta: 17:20:37 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.2206 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.2604 loss: 2.2604 2022/06/28 07:36:57 - mmengine - INFO - Epoch(train) [38][1560/3757] lr: 1.000e-02 eta: 17:20:31 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.2894 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.7736 loss: 1.7736 2022/06/28 07:37:03 - mmengine - INFO - Epoch(train) [38][1580/3757] lr: 1.000e-02 eta: 17:20:26 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.7878 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9647 loss: 1.9647 2022/06/28 07:37:08 - mmengine - INFO - Epoch(train) [38][1600/3757] lr: 1.000e-02 eta: 17:20:21 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.2008 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2698 loss: 2.2698 2022/06/28 07:37:13 - mmengine - INFO - Epoch(train) [38][1620/3757] lr: 1.000e-02 eta: 17:20:15 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.8760 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5659 loss: 1.5659 2022/06/28 07:37:18 - mmengine - INFO - Epoch(train) [38][1640/3757] lr: 1.000e-02 eta: 17:20:10 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.4312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7983 loss: 1.7983 2022/06/28 07:37:24 - mmengine - INFO - Epoch(train) [38][1660/3757] lr: 1.000e-02 eta: 17:20:05 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 6.1610 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0498 loss: 2.0498 2022/06/28 07:37:29 - mmengine - INFO - Epoch(train) [38][1680/3757] lr: 1.000e-02 eta: 17:19:59 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8517 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3300 loss: 2.3300 2022/06/28 07:37:34 - mmengine - INFO - Epoch(train) [38][1700/3757] lr: 1.000e-02 eta: 17:19:53 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 5.9197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4233 loss: 2.4233 2022/06/28 07:37:40 - mmengine - INFO - Epoch(train) [38][1720/3757] lr: 1.000e-02 eta: 17:19:49 time: 0.218 data_time: 0.013 memory: 5150 grad_norm: 5.6522 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1777 loss: 2.1777 2022/06/28 07:37:45 - mmengine - INFO - Epoch(train) [38][1740/3757] lr: 1.000e-02 eta: 17:19:43 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9694 loss: 1.9694 2022/06/28 07:37:50 - mmengine - INFO - Epoch(train) [38][1760/3757] lr: 1.000e-02 eta: 17:19:38 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.2274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9898 loss: 1.9898 2022/06/28 07:37:55 - mmengine - INFO - Epoch(train) [38][1780/3757] lr: 1.000e-02 eta: 17:19:32 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 6.2792 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1649 loss: 2.1649 2022/06/28 07:38:00 - mmengine - INFO - Epoch(train) [38][1800/3757] lr: 1.000e-02 eta: 17:19:26 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.0289 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2229 loss: 2.2229 2022/06/28 07:38:06 - mmengine - INFO - Epoch(train) [38][1820/3757] lr: 1.000e-02 eta: 17:19:22 time: 0.319 data_time: 0.017 memory: 5150 grad_norm: 5.7798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9996 loss: 1.9996 2022/06/28 07:38:12 - mmengine - INFO - Epoch(train) [38][1840/3757] lr: 1.000e-02 eta: 17:19:18 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.4220 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0436 loss: 2.0436 2022/06/28 07:38:17 - mmengine - INFO - Epoch(train) [38][1860/3757] lr: 1.000e-02 eta: 17:19:11 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2529 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8200 loss: 1.8200 2022/06/28 07:38:23 - mmengine - INFO - Epoch(train) [38][1880/3757] lr: 1.000e-02 eta: 17:19:07 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.7763 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0034 loss: 2.0034 2022/06/28 07:38:28 - mmengine - INFO - Epoch(train) [38][1900/3757] lr: 1.000e-02 eta: 17:19:01 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.8834 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9119 loss: 1.9119 2022/06/28 07:38:33 - mmengine - INFO - Epoch(train) [38][1920/3757] lr: 1.000e-02 eta: 17:18:55 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.0331 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2436 loss: 2.2436 2022/06/28 07:38:38 - mmengine - INFO - Epoch(train) [38][1940/3757] lr: 1.000e-02 eta: 17:18:51 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.6962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9924 loss: 1.9924 2022/06/28 07:38:44 - mmengine - INFO - Epoch(train) [38][1960/3757] lr: 1.000e-02 eta: 17:18:46 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 5.8882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8097 loss: 1.8097 2022/06/28 07:38:49 - mmengine - INFO - Epoch(train) [38][1980/3757] lr: 1.000e-02 eta: 17:18:40 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.3853 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.3480 loss: 2.3480 2022/06/28 07:38:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:38:54 - mmengine - INFO - Epoch(train) [38][2000/3757] lr: 1.000e-02 eta: 17:18:33 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3697 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2447 loss: 2.2447 2022/06/28 07:39:00 - mmengine - INFO - Epoch(train) [38][2020/3757] lr: 1.000e-02 eta: 17:18:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2058 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1411 loss: 2.1411 2022/06/28 07:39:04 - mmengine - INFO - Epoch(train) [38][2040/3757] lr: 1.000e-02 eta: 17:18:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6535 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8988 loss: 1.8988 2022/06/28 07:39:10 - mmengine - INFO - Epoch(train) [38][2060/3757] lr: 1.000e-02 eta: 17:18:18 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.7379 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6227 loss: 2.6227 2022/06/28 07:39:16 - mmengine - INFO - Epoch(train) [38][2080/3757] lr: 1.000e-02 eta: 17:18:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.3789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5421 loss: 1.5421 2022/06/28 07:39:21 - mmengine - INFO - Epoch(train) [38][2100/3757] lr: 1.000e-02 eta: 17:18:08 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7185 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2068 loss: 2.2068 2022/06/28 07:39:26 - mmengine - INFO - Epoch(train) [38][2120/3757] lr: 1.000e-02 eta: 17:18:02 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.1520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8222 loss: 1.8222 2022/06/28 07:39:31 - mmengine - INFO - Epoch(train) [38][2140/3757] lr: 1.000e-02 eta: 17:17:57 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6802 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 2.0655 loss: 2.0655 2022/06/28 07:39:36 - mmengine - INFO - Epoch(train) [38][2160/3757] lr: 1.000e-02 eta: 17:17:51 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9531 loss: 1.9531 2022/06/28 07:39:42 - mmengine - INFO - Epoch(train) [38][2180/3757] lr: 1.000e-02 eta: 17:17:47 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.6436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.2684 loss: 2.2684 2022/06/28 07:39:48 - mmengine - INFO - Epoch(train) [38][2200/3757] lr: 1.000e-02 eta: 17:17:42 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.0390 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8629 loss: 1.8629 2022/06/28 07:39:53 - mmengine - INFO - Epoch(train) [38][2220/3757] lr: 1.000e-02 eta: 17:17:36 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.8623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8461 loss: 1.8461 2022/06/28 07:39:58 - mmengine - INFO - Epoch(train) [38][2240/3757] lr: 1.000e-02 eta: 17:17:31 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2903 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0603 loss: 2.0603 2022/06/28 07:40:03 - mmengine - INFO - Epoch(train) [38][2260/3757] lr: 1.000e-02 eta: 17:17:25 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.3842 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5460 loss: 1.5460 2022/06/28 07:40:08 - mmengine - INFO - Epoch(train) [38][2280/3757] lr: 1.000e-02 eta: 17:17:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.1575 loss: 2.1575 2022/06/28 07:40:14 - mmengine - INFO - Epoch(train) [38][2300/3757] lr: 1.000e-02 eta: 17:17:14 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.7719 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.1502 loss: 2.1502 2022/06/28 07:40:20 - mmengine - INFO - Epoch(train) [38][2320/3757] lr: 1.000e-02 eta: 17:17:10 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.4177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7940 loss: 1.7940 2022/06/28 07:40:24 - mmengine - INFO - Epoch(train) [38][2340/3757] lr: 1.000e-02 eta: 17:17:04 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.8605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8222 loss: 1.8222 2022/06/28 07:40:30 - mmengine - INFO - Epoch(train) [38][2360/3757] lr: 1.000e-02 eta: 17:16:59 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2771 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0015 loss: 2.0015 2022/06/28 07:40:35 - mmengine - INFO - Epoch(train) [38][2380/3757] lr: 1.000e-02 eta: 17:16:54 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.9325 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3845 loss: 2.3845 2022/06/28 07:40:40 - mmengine - INFO - Epoch(train) [38][2400/3757] lr: 1.000e-02 eta: 17:16:48 time: 0.236 data_time: 0.007 memory: 5150 grad_norm: 6.1996 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1624 loss: 2.1624 2022/06/28 07:40:46 - mmengine - INFO - Epoch(train) [38][2420/3757] lr: 1.000e-02 eta: 17:16:43 time: 0.470 data_time: 0.007 memory: 5150 grad_norm: 5.2495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1352 loss: 2.1352 2022/06/28 07:40:51 - mmengine - INFO - Epoch(train) [38][2440/3757] lr: 1.000e-02 eta: 17:16:38 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.3913 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7621 loss: 1.7621 2022/06/28 07:40:56 - mmengine - INFO - Epoch(train) [38][2460/3757] lr: 1.000e-02 eta: 17:16:32 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.4442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4516 loss: 2.4516 2022/06/28 07:41:02 - mmengine - INFO - Epoch(train) [38][2480/3757] lr: 1.000e-02 eta: 17:16:27 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 5.9171 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5520 loss: 1.5520 2022/06/28 07:41:07 - mmengine - INFO - Epoch(train) [38][2500/3757] lr: 1.000e-02 eta: 17:16:22 time: 0.303 data_time: 0.007 memory: 5150 grad_norm: 6.1278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2083 loss: 2.2083 2022/06/28 07:41:12 - mmengine - INFO - Epoch(train) [38][2520/3757] lr: 1.000e-02 eta: 17:16:16 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.3941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6044 loss: 1.6044 2022/06/28 07:41:18 - mmengine - INFO - Epoch(train) [38][2540/3757] lr: 1.000e-02 eta: 17:16:11 time: 0.733 data_time: 0.024 memory: 5150 grad_norm: 5.4322 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5042 loss: 1.5042 2022/06/28 07:41:23 - mmengine - INFO - Epoch(train) [38][2560/3757] lr: 1.000e-02 eta: 17:16:05 time: 0.303 data_time: 0.007 memory: 5150 grad_norm: 4.9827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8390 loss: 1.8390 2022/06/28 07:41:28 - mmengine - INFO - Epoch(train) [38][2580/3757] lr: 1.000e-02 eta: 17:16:00 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 6.0285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9545 loss: 1.9545 2022/06/28 07:41:34 - mmengine - INFO - Epoch(train) [38][2600/3757] lr: 1.000e-02 eta: 17:15:56 time: 0.864 data_time: 0.021 memory: 5150 grad_norm: 5.5046 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2138 loss: 2.2138 2022/06/28 07:41:39 - mmengine - INFO - Epoch(train) [38][2620/3757] lr: 1.000e-02 eta: 17:15:50 time: 0.216 data_time: 0.006 memory: 5150 grad_norm: 6.4440 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2521 loss: 2.2521 2022/06/28 07:41:45 - mmengine - INFO - Epoch(train) [38][2640/3757] lr: 1.000e-02 eta: 17:15:45 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.5349 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8986 loss: 1.8986 2022/06/28 07:41:50 - mmengine - INFO - Epoch(train) [38][2660/3757] lr: 1.000e-02 eta: 17:15:40 time: 0.620 data_time: 0.031 memory: 5150 grad_norm: 6.3945 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1342 loss: 2.1342 2022/06/28 07:41:55 - mmengine - INFO - Epoch(train) [38][2680/3757] lr: 1.000e-02 eta: 17:15:34 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.8371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8506 loss: 1.8506 2022/06/28 07:42:01 - mmengine - INFO - Epoch(train) [38][2700/3757] lr: 1.000e-02 eta: 17:15:29 time: 0.862 data_time: 0.007 memory: 5150 grad_norm: 5.3753 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1079 loss: 2.1079 2022/06/28 07:42:06 - mmengine - INFO - Epoch(train) [38][2720/3757] lr: 1.000e-02 eta: 17:15:24 time: 0.224 data_time: 0.035 memory: 5150 grad_norm: 5.5369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7134 loss: 1.7134 2022/06/28 07:42:11 - mmengine - INFO - Epoch(train) [38][2740/3757] lr: 1.000e-02 eta: 17:15:18 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9588 loss: 1.9588 2022/06/28 07:42:17 - mmengine - INFO - Epoch(train) [38][2760/3757] lr: 1.000e-02 eta: 17:15:13 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.4854 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1006 loss: 2.1006 2022/06/28 07:42:22 - mmengine - INFO - Epoch(train) [38][2780/3757] lr: 1.000e-02 eta: 17:15:08 time: 0.744 data_time: 0.049 memory: 5150 grad_norm: 6.0544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7437 loss: 1.7437 2022/06/28 07:42:28 - mmengine - INFO - Epoch(train) [38][2800/3757] lr: 1.000e-02 eta: 17:15:04 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.0315 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9727 loss: 1.9727 2022/06/28 07:42:33 - mmengine - INFO - Epoch(train) [38][2820/3757] lr: 1.000e-02 eta: 17:14:58 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.2845 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1039 loss: 2.1039 2022/06/28 07:42:38 - mmengine - INFO - Epoch(train) [38][2840/3757] lr: 1.000e-02 eta: 17:14:52 time: 0.299 data_time: 0.018 memory: 5150 grad_norm: 5.9260 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9182 loss: 1.9182 2022/06/28 07:42:43 - mmengine - INFO - Epoch(train) [38][2860/3757] lr: 1.000e-02 eta: 17:14:47 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.5350 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8778 loss: 1.8778 2022/06/28 07:42:49 - mmengine - INFO - Epoch(train) [38][2880/3757] lr: 1.000e-02 eta: 17:14:43 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.3827 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0294 loss: 2.0294 2022/06/28 07:42:54 - mmengine - INFO - Epoch(train) [38][2900/3757] lr: 1.000e-02 eta: 17:14:36 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 4.7492 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9395 loss: 1.9395 2022/06/28 07:43:00 - mmengine - INFO - Epoch(train) [38][2920/3757] lr: 1.000e-02 eta: 17:14:32 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.6358 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.1965 loss: 2.1965 2022/06/28 07:43:05 - mmengine - INFO - Epoch(train) [38][2940/3757] lr: 1.000e-02 eta: 17:14:27 time: 0.220 data_time: 0.013 memory: 5150 grad_norm: 6.3157 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8839 loss: 1.8839 2022/06/28 07:43:10 - mmengine - INFO - Epoch(train) [38][2960/3757] lr: 1.000e-02 eta: 17:14:21 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 4.8884 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0316 loss: 2.0316 2022/06/28 07:43:16 - mmengine - INFO - Epoch(train) [38][2980/3757] lr: 1.000e-02 eta: 17:14:16 time: 0.214 data_time: 0.019 memory: 5150 grad_norm: 5.3278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/06/28 07:43:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:43:21 - mmengine - INFO - Epoch(train) [38][3000/3757] lr: 1.000e-02 eta: 17:14:11 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 5.7678 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8751 loss: 1.8751 2022/06/28 07:43:26 - mmengine - INFO - Epoch(train) [38][3020/3757] lr: 1.000e-02 eta: 17:14:05 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.1821 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.1254 loss: 2.1254 2022/06/28 07:43:32 - mmengine - INFO - Epoch(train) [38][3040/3757] lr: 1.000e-02 eta: 17:14:00 time: 0.224 data_time: 0.013 memory: 5150 grad_norm: 5.7828 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2149 loss: 2.2149 2022/06/28 07:43:37 - mmengine - INFO - Epoch(train) [38][3060/3757] lr: 1.000e-02 eta: 17:13:55 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 4.9967 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.3021 loss: 2.3021 2022/06/28 07:43:42 - mmengine - INFO - Epoch(train) [38][3080/3757] lr: 1.000e-02 eta: 17:13:49 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.5198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1123 loss: 2.1123 2022/06/28 07:43:49 - mmengine - INFO - Epoch(train) [38][3100/3757] lr: 1.000e-02 eta: 17:13:45 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.4275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6848 loss: 1.6848 2022/06/28 07:43:53 - mmengine - INFO - Epoch(train) [38][3120/3757] lr: 1.000e-02 eta: 17:13:38 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0707 loss: 2.0707 2022/06/28 07:43:58 - mmengine - INFO - Epoch(train) [38][3140/3757] lr: 1.000e-02 eta: 17:13:32 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.7820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3953 loss: 1.3953 2022/06/28 07:44:03 - mmengine - INFO - Epoch(train) [38][3160/3757] lr: 1.000e-02 eta: 17:13:26 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8609 loss: 1.8609 2022/06/28 07:44:08 - mmengine - INFO - Epoch(train) [38][3180/3757] lr: 1.000e-02 eta: 17:13:21 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.2057 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9201 loss: 1.9201 2022/06/28 07:44:13 - mmengine - INFO - Epoch(train) [38][3200/3757] lr: 1.000e-02 eta: 17:13:16 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 5.4689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.6008 loss: 2.6008 2022/06/28 07:44:19 - mmengine - INFO - Epoch(train) [38][3220/3757] lr: 1.000e-02 eta: 17:13:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0617 loss: 2.0617 2022/06/28 07:44:25 - mmengine - INFO - Epoch(train) [38][3240/3757] lr: 1.000e-02 eta: 17:13:06 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.9353 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9892 loss: 1.9892 2022/06/28 07:44:30 - mmengine - INFO - Epoch(train) [38][3260/3757] lr: 1.000e-02 eta: 17:13:01 time: 0.299 data_time: 0.010 memory: 5150 grad_norm: 5.8830 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8838 loss: 1.8838 2022/06/28 07:44:35 - mmengine - INFO - Epoch(train) [38][3280/3757] lr: 1.000e-02 eta: 17:12:55 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.3499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2249 loss: 2.2249 2022/06/28 07:44:41 - mmengine - INFO - Epoch(train) [38][3300/3757] lr: 1.000e-02 eta: 17:12:50 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.1356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/06/28 07:44:46 - mmengine - INFO - Epoch(train) [38][3320/3757] lr: 1.000e-02 eta: 17:12:45 time: 0.219 data_time: 0.018 memory: 5150 grad_norm: 5.2110 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1812 loss: 2.1812 2022/06/28 07:44:51 - mmengine - INFO - Epoch(train) [38][3340/3757] lr: 1.000e-02 eta: 17:12:39 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7930 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0619 loss: 2.0619 2022/06/28 07:44:57 - mmengine - INFO - Epoch(train) [38][3360/3757] lr: 1.000e-02 eta: 17:12:35 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.1265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7839 loss: 1.7839 2022/06/28 07:45:02 - mmengine - INFO - Epoch(train) [38][3380/3757] lr: 1.000e-02 eta: 17:12:29 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 5.1292 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.3062 loss: 2.3062 2022/06/28 07:45:07 - mmengine - INFO - Epoch(train) [38][3400/3757] lr: 1.000e-02 eta: 17:12:24 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.5320 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 2.2721 loss: 2.2721 2022/06/28 07:45:13 - mmengine - INFO - Epoch(train) [38][3420/3757] lr: 1.000e-02 eta: 17:12:19 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.3272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1288 loss: 2.1288 2022/06/28 07:45:18 - mmengine - INFO - Epoch(train) [38][3440/3757] lr: 1.000e-02 eta: 17:12:14 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 5.3888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7100 loss: 1.7100 2022/06/28 07:45:24 - mmengine - INFO - Epoch(train) [38][3460/3757] lr: 1.000e-02 eta: 17:12:09 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.6291 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3788 loss: 2.3788 2022/06/28 07:45:29 - mmengine - INFO - Epoch(train) [38][3480/3757] lr: 1.000e-02 eta: 17:12:03 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.9550 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1655 loss: 2.1655 2022/06/28 07:45:34 - mmengine - INFO - Epoch(train) [38][3500/3757] lr: 1.000e-02 eta: 17:11:58 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.7586 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4671 loss: 1.4671 2022/06/28 07:45:39 - mmengine - INFO - Epoch(train) [38][3520/3757] lr: 1.000e-02 eta: 17:11:52 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.0179 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0461 loss: 2.0461 2022/06/28 07:45:45 - mmengine - INFO - Epoch(train) [38][3540/3757] lr: 1.000e-02 eta: 17:11:47 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.1097 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.0642 loss: 2.0642 2022/06/28 07:45:51 - mmengine - INFO - Epoch(train) [38][3560/3757] lr: 1.000e-02 eta: 17:11:43 time: 0.199 data_time: 0.023 memory: 5150 grad_norm: 6.4864 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8263 loss: 1.8263 2022/06/28 07:45:56 - mmengine - INFO - Epoch(train) [38][3580/3757] lr: 1.000e-02 eta: 17:11:37 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.3349 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1839 loss: 2.1839 2022/06/28 07:46:01 - mmengine - INFO - Epoch(train) [38][3600/3757] lr: 1.000e-02 eta: 17:11:32 time: 0.373 data_time: 0.007 memory: 5150 grad_norm: 5.2757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9307 loss: 1.9307 2022/06/28 07:46:06 - mmengine - INFO - Epoch(train) [38][3620/3757] lr: 1.000e-02 eta: 17:11:26 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 6.0321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9828 loss: 1.9828 2022/06/28 07:46:11 - mmengine - INFO - Epoch(train) [38][3640/3757] lr: 1.000e-02 eta: 17:11:21 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.0097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9668 loss: 1.9668 2022/06/28 07:46:17 - mmengine - INFO - Epoch(train) [38][3660/3757] lr: 1.000e-02 eta: 17:11:15 time: 0.256 data_time: 0.007 memory: 5150 grad_norm: 6.0135 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7067 loss: 1.7067 2022/06/28 07:46:22 - mmengine - INFO - Epoch(train) [38][3680/3757] lr: 1.000e-02 eta: 17:11:10 time: 0.612 data_time: 0.023 memory: 5150 grad_norm: 5.8468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5025 loss: 2.5025 2022/06/28 07:46:27 - mmengine - INFO - Epoch(train) [38][3700/3757] lr: 1.000e-02 eta: 17:11:05 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 5.8469 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4393 loss: 2.4393 2022/06/28 07:46:33 - mmengine - INFO - Epoch(train) [38][3720/3757] lr: 1.000e-02 eta: 17:10:59 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 4.9823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1901 loss: 2.1901 2022/06/28 07:46:38 - mmengine - INFO - Epoch(train) [38][3740/3757] lr: 1.000e-02 eta: 17:10:54 time: 0.700 data_time: 0.022 memory: 5150 grad_norm: 5.3059 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0006 loss: 2.0006 2022/06/28 07:46:41 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:47:14 - mmengine - INFO - Epoch(val) [38][20/310] eta: 0:05:46 time: 0.975 data_time: 0.345 memory: 9746 2022/06/28 07:47:36 - mmengine - INFO - Epoch(val) [38][40/310] eta: 0:04:56 time: 1.059 data_time: 0.401 memory: 9746 2022/06/28 07:48:00 - mmengine - INFO - Epoch(val) [38][60/310] eta: 0:04:17 time: 1.060 data_time: 0.416 memory: 9746 2022/06/28 07:48:23 - mmengine - INFO - Epoch(val) [38][80/310] eta: 0:04:31 time: 0.949 data_time: 0.294 memory: 9746 2022/06/28 07:48:47 - mmengine - INFO - Epoch(val) [38][100/310] eta: 0:04:05 time: 2.114 data_time: 1.459 memory: 9746 2022/06/28 07:49:09 - mmengine - INFO - Epoch(val) [38][120/310] eta: 0:03:25 time: 1.154 data_time: 0.516 memory: 9746 2022/06/28 07:49:32 - mmengine - INFO - Epoch(val) [38][140/310] eta: 0:03:19 time: 1.071 data_time: 0.417 memory: 9746 2022/06/28 07:49:58 - mmengine - INFO - Epoch(val) [38][160/310] eta: 0:03:25 time: 4.354 data_time: 3.683 memory: 9746 2022/06/28 07:50:20 - mmengine - INFO - Epoch(val) [38][180/310] eta: 0:02:41 time: 0.993 data_time: 0.343 memory: 9746 2022/06/28 07:50:44 - mmengine - INFO - Epoch(val) [38][200/310] eta: 0:02:22 time: 1.061 data_time: 0.428 memory: 9746 2022/06/28 07:51:06 - mmengine - INFO - Epoch(val) [38][220/310] eta: 0:01:37 time: 1.022 data_time: 0.368 memory: 9746 2022/06/28 07:51:27 - mmengine - INFO - Epoch(val) [38][240/310] eta: 0:01:12 time: 1.002 data_time: 0.353 memory: 9746 2022/06/28 07:51:49 - mmengine - INFO - Epoch(val) [38][260/310] eta: 0:00:55 time: 1.043 data_time: 0.405 memory: 9746 2022/06/28 07:52:12 - mmengine - INFO - Epoch(val) [38][280/310] eta: 0:00:34 time: 1.613 data_time: 0.948 memory: 9746 2022/06/28 07:52:32 - mmengine - INFO - Epoch(val) [38][300/310] eta: 0:00:08 time: 0.652 data_time: 0.078 memory: 9746 2022/06/28 07:52:44 - mmengine - INFO - Epoch(val) [38][310/310] acc/top1: 0.6113 acc/top5: 0.8374 acc/mean1: 0.6112 2022/06/28 07:52:53 - mmengine - INFO - Epoch(train) [39][20/3757] lr: 1.000e-02 eta: 17:10:45 time: 0.197 data_time: 0.007 memory: 9746 grad_norm: 5.9367 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6842 loss: 1.6842 2022/06/28 07:52:58 - mmengine - INFO - Epoch(train) [39][40/3757] lr: 1.000e-02 eta: 17:10:41 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.6940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9495 loss: 1.9495 2022/06/28 07:53:03 - mmengine - INFO - Epoch(train) [39][60/3757] lr: 1.000e-02 eta: 17:10:34 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.8803 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8614 loss: 1.8614 2022/06/28 07:53:09 - mmengine - INFO - Epoch(train) [39][80/3757] lr: 1.000e-02 eta: 17:10:30 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.4226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0436 loss: 2.0436 2022/06/28 07:53:15 - mmengine - INFO - Epoch(train) [39][100/3757] lr: 1.000e-02 eta: 17:10:25 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9920 loss: 1.9920 2022/06/28 07:53:20 - mmengine - INFO - Epoch(train) [39][120/3757] lr: 1.000e-02 eta: 17:10:19 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4713 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8854 loss: 1.8854 2022/06/28 07:53:25 - mmengine - INFO - Epoch(train) [39][140/3757] lr: 1.000e-02 eta: 17:10:15 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.8073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7396 loss: 1.7396 2022/06/28 07:53:31 - mmengine - INFO - Epoch(train) [39][160/3757] lr: 1.000e-02 eta: 17:10:10 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.9661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0046 loss: 2.0046 2022/06/28 07:53:36 - mmengine - INFO - Epoch(train) [39][180/3757] lr: 1.000e-02 eta: 17:10:04 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.9518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1114 loss: 2.1114 2022/06/28 07:53:42 - mmengine - INFO - Epoch(train) [39][200/3757] lr: 1.000e-02 eta: 17:10:00 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.2167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5836 loss: 1.5836 2022/06/28 07:53:47 - mmengine - INFO - Epoch(train) [39][220/3757] lr: 1.000e-02 eta: 17:09:55 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.5058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9531 loss: 1.9531 2022/06/28 07:53:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:53:52 - mmengine - INFO - Epoch(train) [39][240/3757] lr: 1.000e-02 eta: 17:09:49 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.8704 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2871 loss: 2.2871 2022/06/28 07:53:58 - mmengine - INFO - Epoch(train) [39][260/3757] lr: 1.000e-02 eta: 17:09:44 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 6.5135 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8125 loss: 1.8125 2022/06/28 07:54:03 - mmengine - INFO - Epoch(train) [39][280/3757] lr: 1.000e-02 eta: 17:09:39 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 5.3499 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9024 loss: 1.9024 2022/06/28 07:54:08 - mmengine - INFO - Epoch(train) [39][300/3757] lr: 1.000e-02 eta: 17:09:32 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.6828 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/06/28 07:54:14 - mmengine - INFO - Epoch(train) [39][320/3757] lr: 1.000e-02 eta: 17:09:28 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.3438 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1084 loss: 2.1084 2022/06/28 07:54:19 - mmengine - INFO - Epoch(train) [39][340/3757] lr: 1.000e-02 eta: 17:09:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7625 loss: 1.7625 2022/06/28 07:54:24 - mmengine - INFO - Epoch(train) [39][360/3757] lr: 1.000e-02 eta: 17:09:17 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 6.4411 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6291 loss: 1.6291 2022/06/28 07:54:30 - mmengine - INFO - Epoch(train) [39][380/3757] lr: 1.000e-02 eta: 17:09:11 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.8058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8700 loss: 1.8700 2022/06/28 07:54:35 - mmengine - INFO - Epoch(train) [39][400/3757] lr: 1.000e-02 eta: 17:09:06 time: 0.192 data_time: 0.013 memory: 5150 grad_norm: 5.8957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9891 loss: 1.9891 2022/06/28 07:54:40 - mmengine - INFO - Epoch(train) [39][420/3757] lr: 1.000e-02 eta: 17:09:01 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 6.1303 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1832 loss: 2.1832 2022/06/28 07:54:45 - mmengine - INFO - Epoch(train) [39][440/3757] lr: 1.000e-02 eta: 17:08:55 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 6.2013 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2909 loss: 2.2909 2022/06/28 07:54:51 - mmengine - INFO - Epoch(train) [39][460/3757] lr: 1.000e-02 eta: 17:08:51 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.1107 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6537 loss: 1.6537 2022/06/28 07:54:56 - mmengine - INFO - Epoch(train) [39][480/3757] lr: 1.000e-02 eta: 17:08:45 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.4503 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9015 loss: 1.9015 2022/06/28 07:55:02 - mmengine - INFO - Epoch(train) [39][500/3757] lr: 1.000e-02 eta: 17:08:40 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9833 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1528 loss: 2.1528 2022/06/28 07:55:08 - mmengine - INFO - Epoch(train) [39][520/3757] lr: 1.000e-02 eta: 17:08:35 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 5.5481 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0393 loss: 2.0393 2022/06/28 07:55:12 - mmengine - INFO - Epoch(train) [39][540/3757] lr: 1.000e-02 eta: 17:08:29 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3869 loss: 2.3869 2022/06/28 07:55:18 - mmengine - INFO - Epoch(train) [39][560/3757] lr: 1.000e-02 eta: 17:08:24 time: 0.362 data_time: 0.007 memory: 5150 grad_norm: 5.8375 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5988 loss: 2.5988 2022/06/28 07:55:23 - mmengine - INFO - Epoch(train) [39][580/3757] lr: 1.000e-02 eta: 17:08:19 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.3835 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1637 loss: 2.1637 2022/06/28 07:55:28 - mmengine - INFO - Epoch(train) [39][600/3757] lr: 1.000e-02 eta: 17:08:13 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.7970 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2756 loss: 2.2756 2022/06/28 07:55:33 - mmengine - INFO - Epoch(train) [39][620/3757] lr: 1.000e-02 eta: 17:08:08 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.4329 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0713 loss: 2.0713 2022/06/28 07:55:39 - mmengine - INFO - Epoch(train) [39][640/3757] lr: 1.000e-02 eta: 17:08:03 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.9447 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9869 loss: 1.9869 2022/06/28 07:55:44 - mmengine - INFO - Epoch(train) [39][660/3757] lr: 1.000e-02 eta: 17:07:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0488 loss: 2.0488 2022/06/28 07:55:49 - mmengine - INFO - Epoch(train) [39][680/3757] lr: 1.000e-02 eta: 17:07:52 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.4367 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4300 loss: 2.4300 2022/06/28 07:55:55 - mmengine - INFO - Epoch(train) [39][700/3757] lr: 1.000e-02 eta: 17:07:47 time: 0.276 data_time: 0.102 memory: 5150 grad_norm: 5.6086 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/06/28 07:56:00 - mmengine - INFO - Epoch(train) [39][720/3757] lr: 1.000e-02 eta: 17:07:41 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1305 loss: 2.1305 2022/06/28 07:56:06 - mmengine - INFO - Epoch(train) [39][740/3757] lr: 1.000e-02 eta: 17:07:36 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.2201 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0422 loss: 2.0422 2022/06/28 07:56:11 - mmengine - INFO - Epoch(train) [39][760/3757] lr: 1.000e-02 eta: 17:07:31 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 5.4660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0769 loss: 2.0769 2022/06/28 07:56:16 - mmengine - INFO - Epoch(train) [39][780/3757] lr: 1.000e-02 eta: 17:07:26 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.2973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8638 loss: 1.8638 2022/06/28 07:56:22 - mmengine - INFO - Epoch(train) [39][800/3757] lr: 1.000e-02 eta: 17:07:21 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1903 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 2.3414 loss: 2.3414 2022/06/28 07:56:28 - mmengine - INFO - Epoch(train) [39][820/3757] lr: 1.000e-02 eta: 17:07:16 time: 0.616 data_time: 0.442 memory: 5150 grad_norm: 5.5059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0560 loss: 2.0560 2022/06/28 07:56:33 - mmengine - INFO - Epoch(train) [39][840/3757] lr: 1.000e-02 eta: 17:07:11 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9732 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2220 loss: 2.2220 2022/06/28 07:56:39 - mmengine - INFO - Epoch(train) [39][860/3757] lr: 1.000e-02 eta: 17:07:06 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.2966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.9379 loss: 1.9379 2022/06/28 07:56:44 - mmengine - INFO - Epoch(train) [39][880/3757] lr: 1.000e-02 eta: 17:07:00 time: 0.661 data_time: 0.484 memory: 5150 grad_norm: 5.3533 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7792 loss: 1.7792 2022/06/28 07:56:49 - mmengine - INFO - Epoch(train) [39][900/3757] lr: 1.000e-02 eta: 17:06:55 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5918 loss: 1.5918 2022/06/28 07:56:54 - mmengine - INFO - Epoch(train) [39][920/3757] lr: 1.000e-02 eta: 17:06:49 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3789 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7104 loss: 1.7104 2022/06/28 07:57:00 - mmengine - INFO - Epoch(train) [39][940/3757] lr: 1.000e-02 eta: 17:06:45 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.8551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9343 loss: 1.9343 2022/06/28 07:57:04 - mmengine - INFO - Epoch(train) [39][960/3757] lr: 1.000e-02 eta: 17:06:38 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1247 loss: 2.1247 2022/06/28 07:57:10 - mmengine - INFO - Epoch(train) [39][980/3757] lr: 1.000e-02 eta: 17:06:34 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.8902 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7479 loss: 1.7479 2022/06/28 07:57:15 - mmengine - INFO - Epoch(train) [39][1000/3757] lr: 1.000e-02 eta: 17:06:28 time: 0.371 data_time: 0.204 memory: 5150 grad_norm: 5.8617 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9303 loss: 1.9303 2022/06/28 07:57:22 - mmengine - INFO - Epoch(train) [39][1020/3757] lr: 1.000e-02 eta: 17:06:25 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1045 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.8757 loss: 1.8757 2022/06/28 07:57:27 - mmengine - INFO - Epoch(train) [39][1040/3757] lr: 1.000e-02 eta: 17:06:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3743 loss: 2.3743 2022/06/28 07:57:33 - mmengine - INFO - Epoch(train) [39][1060/3757] lr: 1.000e-02 eta: 17:06:15 time: 0.434 data_time: 0.255 memory: 5150 grad_norm: 5.6689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9311 loss: 1.9311 2022/06/28 07:57:37 - mmengine - INFO - Epoch(train) [39][1080/3757] lr: 1.000e-02 eta: 17:06:08 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1362 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7615 loss: 1.7615 2022/06/28 07:57:43 - mmengine - INFO - Epoch(train) [39][1100/3757] lr: 1.000e-02 eta: 17:06:04 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.1791 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9451 loss: 1.9451 2022/06/28 07:57:49 - mmengine - INFO - Epoch(train) [39][1120/3757] lr: 1.000e-02 eta: 17:05:59 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 6.4908 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3300 loss: 2.3300 2022/06/28 07:57:54 - mmengine - INFO - Epoch(train) [39][1140/3757] lr: 1.000e-02 eta: 17:05:53 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.6323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0284 loss: 2.0284 2022/06/28 07:58:00 - mmengine - INFO - Epoch(train) [39][1160/3757] lr: 1.000e-02 eta: 17:05:48 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.6041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7689 loss: 1.7689 2022/06/28 07:58:05 - mmengine - INFO - Epoch(train) [39][1180/3757] lr: 1.000e-02 eta: 17:05:43 time: 0.195 data_time: 0.024 memory: 5150 grad_norm: 6.6371 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7563 loss: 1.7563 2022/06/28 07:58:10 - mmengine - INFO - Epoch(train) [39][1200/3757] lr: 1.000e-02 eta: 17:05:37 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1610 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8523 loss: 1.8523 2022/06/28 07:58:15 - mmengine - INFO - Epoch(train) [39][1220/3757] lr: 1.000e-02 eta: 17:05:32 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.2760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/06/28 07:58:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 07:58:21 - mmengine - INFO - Epoch(train) [39][1240/3757] lr: 1.000e-02 eta: 17:05:27 time: 0.219 data_time: 0.029 memory: 5150 grad_norm: 5.3569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1109 loss: 2.1109 2022/06/28 07:58:26 - mmengine - INFO - Epoch(train) [39][1260/3757] lr: 1.000e-02 eta: 17:05:21 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1055 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4132 loss: 2.4132 2022/06/28 07:58:31 - mmengine - INFO - Epoch(train) [39][1280/3757] lr: 1.000e-02 eta: 17:05:16 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 5.9698 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9342 loss: 1.9342 2022/06/28 07:58:37 - mmengine - INFO - Epoch(train) [39][1300/3757] lr: 1.000e-02 eta: 17:05:11 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.5376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9206 loss: 1.9206 2022/06/28 07:58:42 - mmengine - INFO - Epoch(train) [39][1320/3757] lr: 1.000e-02 eta: 17:05:06 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 5.5465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/06/28 07:58:48 - mmengine - INFO - Epoch(train) [39][1340/3757] lr: 1.000e-02 eta: 17:05:01 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.9728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1520 loss: 2.1520 2022/06/28 07:58:53 - mmengine - INFO - Epoch(train) [39][1360/3757] lr: 1.000e-02 eta: 17:04:56 time: 0.213 data_time: 0.018 memory: 5150 grad_norm: 6.3236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2380 loss: 2.2380 2022/06/28 07:58:59 - mmengine - INFO - Epoch(train) [39][1380/3757] lr: 1.000e-02 eta: 17:04:51 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 5.3613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7595 loss: 1.7595 2022/06/28 07:59:03 - mmengine - INFO - Epoch(train) [39][1400/3757] lr: 1.000e-02 eta: 17:04:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4203 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0029 loss: 2.0029 2022/06/28 07:59:09 - mmengine - INFO - Epoch(train) [39][1420/3757] lr: 1.000e-02 eta: 17:04:40 time: 0.210 data_time: 0.017 memory: 5150 grad_norm: 5.9697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0100 loss: 2.0100 2022/06/28 07:59:13 - mmengine - INFO - Epoch(train) [39][1440/3757] lr: 1.000e-02 eta: 17:04:33 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9200 loss: 1.9200 2022/06/28 07:59:19 - mmengine - INFO - Epoch(train) [39][1460/3757] lr: 1.000e-02 eta: 17:04:29 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.3938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.4130 loss: 2.4130 2022/06/28 07:59:25 - mmengine - INFO - Epoch(train) [39][1480/3757] lr: 1.000e-02 eta: 17:04:23 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 5.1006 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6078 loss: 1.6078 2022/06/28 07:59:30 - mmengine - INFO - Epoch(train) [39][1500/3757] lr: 1.000e-02 eta: 17:04:17 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 5.5810 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.2350 loss: 2.2350 2022/06/28 07:59:35 - mmengine - INFO - Epoch(train) [39][1520/3757] lr: 1.000e-02 eta: 17:04:13 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.1349 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.0544 loss: 2.0544 2022/06/28 07:59:41 - mmengine - INFO - Epoch(train) [39][1540/3757] lr: 1.000e-02 eta: 17:04:08 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.0178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9783 loss: 1.9783 2022/06/28 07:59:45 - mmengine - INFO - Epoch(train) [39][1560/3757] lr: 1.000e-02 eta: 17:04:01 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.5097 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9842 loss: 1.9842 2022/06/28 07:59:51 - mmengine - INFO - Epoch(train) [39][1580/3757] lr: 1.000e-02 eta: 17:03:57 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.7257 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9312 loss: 1.9312 2022/06/28 07:59:57 - mmengine - INFO - Epoch(train) [39][1600/3757] lr: 1.000e-02 eta: 17:03:52 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 5.8461 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2688 loss: 2.2688 2022/06/28 08:00:02 - mmengine - INFO - Epoch(train) [39][1620/3757] lr: 1.000e-02 eta: 17:03:46 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.4231 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4689 loss: 2.4689 2022/06/28 08:00:07 - mmengine - INFO - Epoch(train) [39][1640/3757] lr: 1.000e-02 eta: 17:03:41 time: 0.626 data_time: 0.007 memory: 5150 grad_norm: 5.5197 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9037 loss: 1.9037 2022/06/28 08:00:13 - mmengine - INFO - Epoch(train) [39][1660/3757] lr: 1.000e-02 eta: 17:03:36 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 5.4343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0033 loss: 2.0033 2022/06/28 08:00:18 - mmengine - INFO - Epoch(train) [39][1680/3757] lr: 1.000e-02 eta: 17:03:30 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.6810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9669 loss: 1.9669 2022/06/28 08:00:24 - mmengine - INFO - Epoch(train) [39][1700/3757] lr: 1.000e-02 eta: 17:03:26 time: 0.429 data_time: 0.011 memory: 5150 grad_norm: 7.0431 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5302 loss: 2.5302 2022/06/28 08:00:29 - mmengine - INFO - Epoch(train) [39][1720/3757] lr: 1.000e-02 eta: 17:03:21 time: 0.227 data_time: 0.017 memory: 5150 grad_norm: 5.5975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9924 loss: 1.9924 2022/06/28 08:00:35 - mmengine - INFO - Epoch(train) [39][1740/3757] lr: 1.000e-02 eta: 17:03:15 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 5.8772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9653 loss: 1.9653 2022/06/28 08:00:40 - mmengine - INFO - Epoch(train) [39][1760/3757] lr: 1.000e-02 eta: 17:03:11 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 5.7119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3596 loss: 2.3596 2022/06/28 08:00:46 - mmengine - INFO - Epoch(train) [39][1780/3757] lr: 1.000e-02 eta: 17:03:06 time: 0.224 data_time: 0.006 memory: 5150 grad_norm: 5.3300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7609 loss: 1.7609 2022/06/28 08:00:51 - mmengine - INFO - Epoch(train) [39][1800/3757] lr: 1.000e-02 eta: 17:03:00 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 6.4408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9358 loss: 1.9358 2022/06/28 08:00:56 - mmengine - INFO - Epoch(train) [39][1820/3757] lr: 1.000e-02 eta: 17:02:55 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 6.3548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8139 loss: 1.8139 2022/06/28 08:01:02 - mmengine - INFO - Epoch(train) [39][1840/3757] lr: 1.000e-02 eta: 17:02:50 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.3583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8840 loss: 1.8840 2022/06/28 08:01:07 - mmengine - INFO - Epoch(train) [39][1860/3757] lr: 1.000e-02 eta: 17:02:44 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.6830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1337 loss: 2.1337 2022/06/28 08:01:12 - mmengine - INFO - Epoch(train) [39][1880/3757] lr: 1.000e-02 eta: 17:02:39 time: 0.583 data_time: 0.007 memory: 5150 grad_norm: 5.8109 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9169 loss: 1.9169 2022/06/28 08:01:17 - mmengine - INFO - Epoch(train) [39][1900/3757] lr: 1.000e-02 eta: 17:02:33 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.6486 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9029 loss: 1.9029 2022/06/28 08:01:23 - mmengine - INFO - Epoch(train) [39][1920/3757] lr: 1.000e-02 eta: 17:02:29 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.4342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6127 loss: 2.6127 2022/06/28 08:01:28 - mmengine - INFO - Epoch(train) [39][1940/3757] lr: 1.000e-02 eta: 17:02:23 time: 0.727 data_time: 0.012 memory: 5150 grad_norm: 5.3713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5672 loss: 1.5672 2022/06/28 08:01:33 - mmengine - INFO - Epoch(train) [39][1960/3757] lr: 1.000e-02 eta: 17:02:17 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.3377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2772 loss: 2.2772 2022/06/28 08:01:39 - mmengine - INFO - Epoch(train) [39][1980/3757] lr: 1.000e-02 eta: 17:02:12 time: 0.398 data_time: 0.017 memory: 5150 grad_norm: 5.4715 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9941 loss: 1.9941 2022/06/28 08:01:44 - mmengine - INFO - Epoch(train) [39][2000/3757] lr: 1.000e-02 eta: 17:02:07 time: 0.954 data_time: 0.010 memory: 5150 grad_norm: 5.1013 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7582 loss: 1.7582 2022/06/28 08:01:49 - mmengine - INFO - Epoch(train) [39][2020/3757] lr: 1.000e-02 eta: 17:02:01 time: 0.210 data_time: 0.038 memory: 5150 grad_norm: 5.6699 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0301 loss: 2.0301 2022/06/28 08:01:54 - mmengine - INFO - Epoch(train) [39][2040/3757] lr: 1.000e-02 eta: 17:01:56 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 6.6046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4129 loss: 2.4129 2022/06/28 08:02:00 - mmengine - INFO - Epoch(train) [39][2060/3757] lr: 1.000e-02 eta: 17:01:51 time: 0.710 data_time: 0.010 memory: 5150 grad_norm: 6.6782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0826 loss: 2.0826 2022/06/28 08:02:05 - mmengine - INFO - Epoch(train) [39][2080/3757] lr: 1.000e-02 eta: 17:01:45 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 5.4850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8893 loss: 1.8893 2022/06/28 08:02:11 - mmengine - INFO - Epoch(train) [39][2100/3757] lr: 1.000e-02 eta: 17:01:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.9973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2321 loss: 2.2321 2022/06/28 08:02:16 - mmengine - INFO - Epoch(train) [39][2120/3757] lr: 1.000e-02 eta: 17:01:35 time: 1.009 data_time: 0.010 memory: 5150 grad_norm: 5.9736 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6626 loss: 1.6626 2022/06/28 08:02:21 - mmengine - INFO - Epoch(train) [39][2140/3757] lr: 1.000e-02 eta: 17:01:29 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.6196 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3899 loss: 1.3899 2022/06/28 08:02:26 - mmengine - INFO - Epoch(train) [39][2160/3757] lr: 1.000e-02 eta: 17:01:24 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.1248 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9804 loss: 1.9804 2022/06/28 08:02:32 - mmengine - INFO - Epoch(train) [39][2180/3757] lr: 1.000e-02 eta: 17:01:19 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 6.1720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9059 loss: 1.9059 2022/06/28 08:02:37 - mmengine - INFO - Epoch(train) [39][2200/3757] lr: 1.000e-02 eta: 17:01:13 time: 0.311 data_time: 0.007 memory: 5150 grad_norm: 5.5669 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0522 loss: 2.0522 2022/06/28 08:02:42 - mmengine - INFO - Epoch(train) [39][2220/3757] lr: 1.000e-02 eta: 17:01:07 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.1455 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2846 loss: 2.2846 2022/06/28 08:02:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:02:47 - mmengine - INFO - Epoch(train) [39][2240/3757] lr: 1.000e-02 eta: 17:01:02 time: 0.427 data_time: 0.012 memory: 5150 grad_norm: 5.3199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8921 loss: 1.8921 2022/06/28 08:02:52 - mmengine - INFO - Epoch(train) [39][2260/3757] lr: 1.000e-02 eta: 17:00:57 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 5.8087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9682 loss: 1.9682 2022/06/28 08:02:58 - mmengine - INFO - Epoch(train) [39][2280/3757] lr: 1.000e-02 eta: 17:00:51 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7012 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0992 loss: 2.0992 2022/06/28 08:03:03 - mmengine - INFO - Epoch(train) [39][2300/3757] lr: 1.000e-02 eta: 17:00:46 time: 0.216 data_time: 0.013 memory: 5150 grad_norm: 5.7215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1052 loss: 2.1052 2022/06/28 08:03:09 - mmengine - INFO - Epoch(train) [39][2320/3757] lr: 1.000e-02 eta: 17:00:41 time: 0.365 data_time: 0.011 memory: 5150 grad_norm: 6.4242 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6799 loss: 1.6799 2022/06/28 08:03:14 - mmengine - INFO - Epoch(train) [39][2340/3757] lr: 1.000e-02 eta: 17:00:36 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.3365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2048 loss: 2.2048 2022/06/28 08:03:19 - mmengine - INFO - Epoch(train) [39][2360/3757] lr: 1.000e-02 eta: 17:00:31 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.9135 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9715 loss: 1.9715 2022/06/28 08:03:25 - mmengine - INFO - Epoch(train) [39][2380/3757] lr: 1.000e-02 eta: 17:00:26 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.9706 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8288 loss: 1.8288 2022/06/28 08:03:30 - mmengine - INFO - Epoch(train) [39][2400/3757] lr: 1.000e-02 eta: 17:00:20 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5713 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7501 loss: 1.7501 2022/06/28 08:03:36 - mmengine - INFO - Epoch(train) [39][2420/3757] lr: 1.000e-02 eta: 17:00:15 time: 0.189 data_time: 0.013 memory: 5150 grad_norm: 5.3208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7510 loss: 1.7510 2022/06/28 08:03:41 - mmengine - INFO - Epoch(train) [39][2440/3757] lr: 1.000e-02 eta: 17:00:10 time: 0.604 data_time: 0.016 memory: 5150 grad_norm: 5.6960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0640 loss: 2.0640 2022/06/28 08:03:46 - mmengine - INFO - Epoch(train) [39][2460/3757] lr: 1.000e-02 eta: 17:00:04 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 4.5709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7135 loss: 1.7135 2022/06/28 08:03:51 - mmengine - INFO - Epoch(train) [39][2480/3757] lr: 1.000e-02 eta: 16:59:59 time: 0.199 data_time: 0.024 memory: 5150 grad_norm: 6.6437 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/06/28 08:03:57 - mmengine - INFO - Epoch(train) [39][2500/3757] lr: 1.000e-02 eta: 16:59:53 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.0734 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.4090 loss: 2.4090 2022/06/28 08:04:02 - mmengine - INFO - Epoch(train) [39][2520/3757] lr: 1.000e-02 eta: 16:59:48 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 5.1261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8998 loss: 1.8998 2022/06/28 08:04:08 - mmengine - INFO - Epoch(train) [39][2540/3757] lr: 1.000e-02 eta: 16:59:43 time: 0.203 data_time: 0.026 memory: 5150 grad_norm: 6.4978 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.2107 loss: 2.2107 2022/06/28 08:04:13 - mmengine - INFO - Epoch(train) [39][2560/3757] lr: 1.000e-02 eta: 16:59:38 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6905 loss: 1.6905 2022/06/28 08:04:18 - mmengine - INFO - Epoch(train) [39][2580/3757] lr: 1.000e-02 eta: 16:59:32 time: 0.236 data_time: 0.007 memory: 5150 grad_norm: 5.5010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3608 loss: 2.3608 2022/06/28 08:04:23 - mmengine - INFO - Epoch(train) [39][2600/3757] lr: 1.000e-02 eta: 16:59:27 time: 0.200 data_time: 0.025 memory: 5150 grad_norm: 6.3399 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9143 loss: 1.9143 2022/06/28 08:04:29 - mmengine - INFO - Epoch(train) [39][2620/3757] lr: 1.000e-02 eta: 16:59:22 time: 0.412 data_time: 0.015 memory: 5150 grad_norm: 6.3726 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2995 loss: 2.2995 2022/06/28 08:04:34 - mmengine - INFO - Epoch(train) [39][2640/3757] lr: 1.000e-02 eta: 16:59:16 time: 0.413 data_time: 0.007 memory: 5150 grad_norm: 5.1979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0127 loss: 2.0127 2022/06/28 08:04:40 - mmengine - INFO - Epoch(train) [39][2660/3757] lr: 1.000e-02 eta: 16:59:12 time: 0.666 data_time: 0.021 memory: 5150 grad_norm: 5.3016 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7941 loss: 1.7941 2022/06/28 08:04:45 - mmengine - INFO - Epoch(train) [39][2680/3757] lr: 1.000e-02 eta: 16:59:06 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 5.3918 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8461 loss: 1.8461 2022/06/28 08:04:50 - mmengine - INFO - Epoch(train) [39][2700/3757] lr: 1.000e-02 eta: 16:59:01 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.4619 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0417 loss: 2.0417 2022/06/28 08:04:55 - mmengine - INFO - Epoch(train) [39][2720/3757] lr: 1.000e-02 eta: 16:58:55 time: 0.599 data_time: 0.023 memory: 5150 grad_norm: 6.5646 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9236 loss: 1.9236 2022/06/28 08:05:01 - mmengine - INFO - Epoch(train) [39][2740/3757] lr: 1.000e-02 eta: 16:58:50 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 5.4721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/06/28 08:05:06 - mmengine - INFO - Epoch(train) [39][2760/3757] lr: 1.000e-02 eta: 16:58:45 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 5.1589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7196 loss: 1.7196 2022/06/28 08:05:11 - mmengine - INFO - Epoch(train) [39][2780/3757] lr: 1.000e-02 eta: 16:58:39 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.1249 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0793 loss: 2.0793 2022/06/28 08:05:17 - mmengine - INFO - Epoch(train) [39][2800/3757] lr: 1.000e-02 eta: 16:58:35 time: 0.837 data_time: 0.007 memory: 5150 grad_norm: 5.8245 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/06/28 08:05:22 - mmengine - INFO - Epoch(train) [39][2820/3757] lr: 1.000e-02 eta: 16:58:29 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.8600 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6379 loss: 1.6379 2022/06/28 08:05:28 - mmengine - INFO - Epoch(train) [39][2840/3757] lr: 1.000e-02 eta: 16:58:25 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 5.4121 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8891 loss: 1.8891 2022/06/28 08:05:34 - mmengine - INFO - Epoch(train) [39][2860/3757] lr: 1.000e-02 eta: 16:58:19 time: 0.824 data_time: 0.008 memory: 5150 grad_norm: 5.6283 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0012 loss: 2.0012 2022/06/28 08:05:39 - mmengine - INFO - Epoch(train) [39][2880/3757] lr: 1.000e-02 eta: 16:58:14 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.2098 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0953 loss: 2.0953 2022/06/28 08:05:44 - mmengine - INFO - Epoch(train) [39][2900/3757] lr: 1.000e-02 eta: 16:58:09 time: 0.197 data_time: 0.024 memory: 5150 grad_norm: 6.7229 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7632 loss: 1.7632 2022/06/28 08:05:50 - mmengine - INFO - Epoch(train) [39][2920/3757] lr: 1.000e-02 eta: 16:58:04 time: 1.317 data_time: 0.009 memory: 5150 grad_norm: 5.8775 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1154 loss: 2.1154 2022/06/28 08:05:54 - mmengine - INFO - Epoch(train) [39][2940/3757] lr: 1.000e-02 eta: 16:57:58 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.0987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0470 loss: 2.0470 2022/06/28 08:06:01 - mmengine - INFO - Epoch(train) [39][2960/3757] lr: 1.000e-02 eta: 16:57:54 time: 0.207 data_time: 0.020 memory: 5150 grad_norm: 4.7135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9785 loss: 1.9785 2022/06/28 08:06:06 - mmengine - INFO - Epoch(train) [39][2980/3757] lr: 1.000e-02 eta: 16:57:48 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.7472 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1504 loss: 2.1504 2022/06/28 08:06:11 - mmengine - INFO - Epoch(train) [39][3000/3757] lr: 1.000e-02 eta: 16:57:42 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 4.9143 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5311 loss: 2.5311 2022/06/28 08:06:16 - mmengine - INFO - Epoch(train) [39][3020/3757] lr: 1.000e-02 eta: 16:57:37 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.7386 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0756 loss: 2.0756 2022/06/28 08:06:22 - mmengine - INFO - Epoch(train) [39][3040/3757] lr: 1.000e-02 eta: 16:57:32 time: 1.012 data_time: 0.007 memory: 5150 grad_norm: 5.5154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1320 loss: 2.1320 2022/06/28 08:06:27 - mmengine - INFO - Epoch(train) [39][3060/3757] lr: 1.000e-02 eta: 16:57:26 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.6335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5762 loss: 1.5762 2022/06/28 08:06:33 - mmengine - INFO - Epoch(train) [39][3080/3757] lr: 1.000e-02 eta: 16:57:22 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3659 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1897 loss: 2.1897 2022/06/28 08:06:38 - mmengine - INFO - Epoch(train) [39][3100/3757] lr: 1.000e-02 eta: 16:57:16 time: 0.673 data_time: 0.011 memory: 5150 grad_norm: 6.1135 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0929 loss: 2.0929 2022/06/28 08:06:43 - mmengine - INFO - Epoch(train) [39][3120/3757] lr: 1.000e-02 eta: 16:57:10 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1711 loss: 2.1711 2022/06/28 08:06:48 - mmengine - INFO - Epoch(train) [39][3140/3757] lr: 1.000e-02 eta: 16:57:05 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 6.0123 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9016 loss: 1.9016 2022/06/28 08:06:53 - mmengine - INFO - Epoch(train) [39][3160/3757] lr: 1.000e-02 eta: 16:57:00 time: 0.488 data_time: 0.011 memory: 5150 grad_norm: 5.8125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0123 loss: 2.0123 2022/06/28 08:06:58 - mmengine - INFO - Epoch(train) [39][3180/3757] lr: 1.000e-02 eta: 16:56:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7447 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8187 loss: 1.8187 2022/06/28 08:07:03 - mmengine - INFO - Epoch(train) [39][3200/3757] lr: 1.000e-02 eta: 16:56:48 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 6.0517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3566 loss: 2.3566 2022/06/28 08:07:09 - mmengine - INFO - Epoch(train) [39][3220/3757] lr: 1.000e-02 eta: 16:56:43 time: 0.946 data_time: 0.018 memory: 5150 grad_norm: 6.3703 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7889 loss: 1.7889 2022/06/28 08:07:12 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:07:14 - mmengine - INFO - Epoch(train) [39][3240/3757] lr: 1.000e-02 eta: 16:56:37 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.7605 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2053 loss: 2.2053 2022/06/28 08:07:20 - mmengine - INFO - Epoch(train) [39][3260/3757] lr: 1.000e-02 eta: 16:56:33 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 5.8129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7852 loss: 1.7852 2022/06/28 08:07:25 - mmengine - INFO - Epoch(train) [39][3280/3757] lr: 1.000e-02 eta: 16:56:27 time: 0.690 data_time: 0.023 memory: 5150 grad_norm: 4.9754 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0982 loss: 2.0982 2022/06/28 08:07:30 - mmengine - INFO - Epoch(train) [39][3300/3757] lr: 1.000e-02 eta: 16:56:21 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.5957 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8013 loss: 1.8013 2022/06/28 08:07:35 - mmengine - INFO - Epoch(train) [39][3320/3757] lr: 1.000e-02 eta: 16:56:16 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2848 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9899 loss: 1.9899 2022/06/28 08:07:41 - mmengine - INFO - Epoch(train) [39][3340/3757] lr: 1.000e-02 eta: 16:56:11 time: 0.210 data_time: 0.023 memory: 5150 grad_norm: 5.9515 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5843 loss: 2.5843 2022/06/28 08:07:46 - mmengine - INFO - Epoch(train) [39][3360/3757] lr: 1.000e-02 eta: 16:56:05 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.7812 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1317 loss: 2.1317 2022/06/28 08:07:51 - mmengine - INFO - Epoch(train) [39][3380/3757] lr: 1.000e-02 eta: 16:56:01 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.0291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2464 loss: 2.2464 2022/06/28 08:07:57 - mmengine - INFO - Epoch(train) [39][3400/3757] lr: 1.000e-02 eta: 16:55:56 time: 0.866 data_time: 0.023 memory: 5150 grad_norm: 5.8343 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1332 loss: 2.1332 2022/06/28 08:08:02 - mmengine - INFO - Epoch(train) [39][3420/3757] lr: 1.000e-02 eta: 16:55:50 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3922 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8708 loss: 1.8708 2022/06/28 08:08:08 - mmengine - INFO - Epoch(train) [39][3440/3757] lr: 1.000e-02 eta: 16:55:45 time: 0.242 data_time: 0.009 memory: 5150 grad_norm: 5.6734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2814 loss: 2.2814 2022/06/28 08:08:13 - mmengine - INFO - Epoch(train) [39][3460/3757] lr: 1.000e-02 eta: 16:55:40 time: 0.743 data_time: 0.028 memory: 5150 grad_norm: 5.7261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6612 loss: 1.6612 2022/06/28 08:08:18 - mmengine - INFO - Epoch(train) [39][3480/3757] lr: 1.000e-02 eta: 16:55:34 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.6178 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9679 loss: 1.9679 2022/06/28 08:08:23 - mmengine - INFO - Epoch(train) [39][3500/3757] lr: 1.000e-02 eta: 16:55:29 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 4.8505 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1265 loss: 2.1265 2022/06/28 08:08:29 - mmengine - INFO - Epoch(train) [39][3520/3757] lr: 1.000e-02 eta: 16:55:24 time: 0.641 data_time: 0.019 memory: 5150 grad_norm: 5.2635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1605 loss: 2.1605 2022/06/28 08:08:35 - mmengine - INFO - Epoch(train) [39][3540/3757] lr: 1.000e-02 eta: 16:55:19 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.5389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1258 loss: 2.1258 2022/06/28 08:08:40 - mmengine - INFO - Epoch(train) [39][3560/3757] lr: 1.000e-02 eta: 16:55:14 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.1391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9115 loss: 1.9115 2022/06/28 08:08:45 - mmengine - INFO - Epoch(train) [39][3580/3757] lr: 1.000e-02 eta: 16:55:09 time: 1.003 data_time: 0.010 memory: 5150 grad_norm: 6.0255 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5255 loss: 2.5255 2022/06/28 08:08:50 - mmengine - INFO - Epoch(train) [39][3600/3757] lr: 1.000e-02 eta: 16:55:03 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.0264 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0146 loss: 2.0146 2022/06/28 08:08:56 - mmengine - INFO - Epoch(train) [39][3620/3757] lr: 1.000e-02 eta: 16:54:58 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6384 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7875 loss: 1.7875 2022/06/28 08:09:02 - mmengine - INFO - Epoch(train) [39][3640/3757] lr: 1.000e-02 eta: 16:54:53 time: 0.974 data_time: 0.010 memory: 5150 grad_norm: 5.0617 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8226 loss: 1.8226 2022/06/28 08:09:06 - mmengine - INFO - Epoch(train) [39][3660/3757] lr: 1.000e-02 eta: 16:54:47 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.1212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9304 loss: 1.9304 2022/06/28 08:09:12 - mmengine - INFO - Epoch(train) [39][3680/3757] lr: 1.000e-02 eta: 16:54:42 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9559 loss: 1.9559 2022/06/28 08:09:17 - mmengine - INFO - Epoch(train) [39][3700/3757] lr: 1.000e-02 eta: 16:54:37 time: 0.596 data_time: 0.016 memory: 5150 grad_norm: 6.0907 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.1578 loss: 2.1578 2022/06/28 08:09:23 - mmengine - INFO - Epoch(train) [39][3720/3757] lr: 1.000e-02 eta: 16:54:32 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.9753 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8231 loss: 1.8231 2022/06/28 08:09:28 - mmengine - INFO - Epoch(train) [39][3740/3757] lr: 1.000e-02 eta: 16:54:27 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.5020 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8993 loss: 1.8993 2022/06/28 08:09:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:10:05 - mmengine - INFO - Epoch(val) [39][20/310] eta: 0:05:39 time: 1.059 data_time: 0.404 memory: 9746 2022/06/28 08:10:27 - mmengine - INFO - Epoch(val) [39][40/310] eta: 0:04:56 time: 1.077 data_time: 0.405 memory: 9746 2022/06/28 08:10:50 - mmengine - INFO - Epoch(val) [39][60/310] eta: 0:04:16 time: 1.136 data_time: 0.500 memory: 9746 2022/06/28 08:11:14 - mmengine - INFO - Epoch(val) [39][80/310] eta: 0:05:14 time: 0.991 data_time: 0.359 memory: 9746 2022/06/28 08:11:38 - mmengine - INFO - Epoch(val) [39][100/310] eta: 0:04:10 time: 2.526 data_time: 1.853 memory: 9746 2022/06/28 08:11:59 - mmengine - INFO - Epoch(val) [39][120/310] eta: 0:03:24 time: 1.185 data_time: 0.520 memory: 9746 2022/06/28 08:12:23 - mmengine - INFO - Epoch(val) [39][140/310] eta: 0:03:24 time: 1.136 data_time: 0.478 memory: 9746 2022/06/28 08:12:48 - mmengine - INFO - Epoch(val) [39][160/310] eta: 0:03:14 time: 3.303 data_time: 2.645 memory: 9746 2022/06/28 08:13:11 - mmengine - INFO - Epoch(val) [39][180/310] eta: 0:02:48 time: 1.040 data_time: 0.412 memory: 9746 2022/06/28 08:13:34 - mmengine - INFO - Epoch(val) [39][200/310] eta: 0:02:13 time: 1.037 data_time: 0.386 memory: 9746 2022/06/28 08:13:55 - mmengine - INFO - Epoch(val) [39][220/310] eta: 0:01:35 time: 1.151 data_time: 0.513 memory: 9746 2022/06/28 08:14:16 - mmengine - INFO - Epoch(val) [39][240/310] eta: 0:01:14 time: 1.033 data_time: 0.372 memory: 9746 2022/06/28 08:14:40 - mmengine - INFO - Epoch(val) [39][260/310] eta: 0:01:01 time: 1.082 data_time: 0.363 memory: 9746 2022/06/28 08:15:03 - mmengine - INFO - Epoch(val) [39][280/310] eta: 0:00:32 time: 1.667 data_time: 1.012 memory: 9746 2022/06/28 08:15:22 - mmengine - INFO - Epoch(val) [39][300/310] eta: 0:00:08 time: 0.644 data_time: 0.077 memory: 9746 2022/06/28 08:15:34 - mmengine - INFO - Epoch(val) [39][310/310] acc/top1: 0.6168 acc/top5: 0.8476 acc/mean1: 0.6167 2022/06/28 08:15:43 - mmengine - INFO - Epoch(train) [40][20/3757] lr: 1.000e-02 eta: 16:54:18 time: 0.199 data_time: 0.007 memory: 9746 grad_norm: 5.9017 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9112 loss: 1.9112 2022/06/28 08:15:48 - mmengine - INFO - Epoch(train) [40][40/3757] lr: 1.000e-02 eta: 16:54:13 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.0467 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5205 loss: 1.5205 2022/06/28 08:15:53 - mmengine - INFO - Epoch(train) [40][60/3757] lr: 1.000e-02 eta: 16:54:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.5264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1077 loss: 2.1077 2022/06/28 08:15:59 - mmengine - INFO - Epoch(train) [40][80/3757] lr: 1.000e-02 eta: 16:54:03 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4758 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/06/28 08:16:05 - mmengine - INFO - Epoch(train) [40][100/3757] lr: 1.000e-02 eta: 16:53:58 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2655 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8754 loss: 1.8754 2022/06/28 08:16:09 - mmengine - INFO - Epoch(train) [40][120/3757] lr: 1.000e-02 eta: 16:53:51 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3660 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9022 loss: 1.9022 2022/06/28 08:16:15 - mmengine - INFO - Epoch(train) [40][140/3757] lr: 1.000e-02 eta: 16:53:47 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.6692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9027 loss: 1.9027 2022/06/28 08:16:21 - mmengine - INFO - Epoch(train) [40][160/3757] lr: 1.000e-02 eta: 16:53:42 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.7810 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8486 loss: 1.8486 2022/06/28 08:16:26 - mmengine - INFO - Epoch(train) [40][180/3757] lr: 1.000e-02 eta: 16:53:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.4594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9989 loss: 1.9989 2022/06/28 08:16:32 - mmengine - INFO - Epoch(train) [40][200/3757] lr: 1.000e-02 eta: 16:53:33 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6396 loss: 1.6396 2022/06/28 08:16:37 - mmengine - INFO - Epoch(train) [40][220/3757] lr: 1.000e-02 eta: 16:53:26 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.2628 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0677 loss: 2.0677 2022/06/28 08:16:41 - mmengine - INFO - Epoch(train) [40][240/3757] lr: 1.000e-02 eta: 16:53:19 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.9819 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1928 loss: 2.1928 2022/06/28 08:16:46 - mmengine - INFO - Epoch(train) [40][260/3757] lr: 1.000e-02 eta: 16:53:13 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 5.1778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1625 loss: 2.1625 2022/06/28 08:16:52 - mmengine - INFO - Epoch(train) [40][280/3757] lr: 1.000e-02 eta: 16:53:09 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.4481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9817 loss: 1.9817 2022/06/28 08:16:57 - mmengine - INFO - Epoch(train) [40][300/3757] lr: 1.000e-02 eta: 16:53:03 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 5.7286 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0222 loss: 2.0222 2022/06/28 08:17:02 - mmengine - INFO - Epoch(train) [40][320/3757] lr: 1.000e-02 eta: 16:52:58 time: 0.194 data_time: 0.017 memory: 5150 grad_norm: 6.5617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9054 loss: 1.9054 2022/06/28 08:17:08 - mmengine - INFO - Epoch(train) [40][340/3757] lr: 1.000e-02 eta: 16:52:53 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.3269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1779 loss: 2.1779 2022/06/28 08:17:13 - mmengine - INFO - Epoch(train) [40][360/3757] lr: 1.000e-02 eta: 16:52:47 time: 0.209 data_time: 0.025 memory: 5150 grad_norm: 5.2224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6116 loss: 1.6116 2022/06/28 08:17:19 - mmengine - INFO - Epoch(train) [40][380/3757] lr: 1.000e-02 eta: 16:52:42 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 5.4486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2122 loss: 2.2122 2022/06/28 08:17:24 - mmengine - INFO - Epoch(train) [40][400/3757] lr: 1.000e-02 eta: 16:52:37 time: 0.646 data_time: 0.007 memory: 5150 grad_norm: 5.4707 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8503 loss: 1.8503 2022/06/28 08:17:29 - mmengine - INFO - Epoch(train) [40][420/3757] lr: 1.000e-02 eta: 16:52:31 time: 0.191 data_time: 0.020 memory: 5150 grad_norm: 5.6713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2939 loss: 2.2939 2022/06/28 08:17:34 - mmengine - INFO - Epoch(train) [40][440/3757] lr: 1.000e-02 eta: 16:52:26 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.5948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3200 loss: 2.3200 2022/06/28 08:17:40 - mmengine - INFO - Epoch(train) [40][460/3757] lr: 1.000e-02 eta: 16:52:22 time: 0.247 data_time: 0.012 memory: 5150 grad_norm: 5.1369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7731 loss: 1.7731 2022/06/28 08:17:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:17:45 - mmengine - INFO - Epoch(train) [40][480/3757] lr: 1.000e-02 eta: 16:52:16 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.5771 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1237 loss: 2.1237 2022/06/28 08:17:51 - mmengine - INFO - Epoch(train) [40][500/3757] lr: 1.000e-02 eta: 16:52:12 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.8852 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3188 loss: 2.3188 2022/06/28 08:17:56 - mmengine - INFO - Epoch(train) [40][520/3757] lr: 1.000e-02 eta: 16:52:06 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 6.0425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.2149 loss: 2.2149 2022/06/28 08:18:02 - mmengine - INFO - Epoch(train) [40][540/3757] lr: 1.000e-02 eta: 16:52:01 time: 0.565 data_time: 0.022 memory: 5150 grad_norm: 5.2155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7591 loss: 1.7591 2022/06/28 08:18:07 - mmengine - INFO - Epoch(train) [40][560/3757] lr: 1.000e-02 eta: 16:51:56 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.7691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8670 loss: 1.8670 2022/06/28 08:18:13 - mmengine - INFO - Epoch(train) [40][580/3757] lr: 1.000e-02 eta: 16:51:51 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 6.2637 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8435 loss: 1.8435 2022/06/28 08:18:18 - mmengine - INFO - Epoch(train) [40][600/3757] lr: 1.000e-02 eta: 16:51:45 time: 0.468 data_time: 0.017 memory: 5150 grad_norm: 4.9821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2636 loss: 2.2636 2022/06/28 08:18:23 - mmengine - INFO - Epoch(train) [40][620/3757] lr: 1.000e-02 eta: 16:51:40 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.2089 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3732 loss: 2.3732 2022/06/28 08:18:29 - mmengine - INFO - Epoch(train) [40][640/3757] lr: 1.000e-02 eta: 16:51:35 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.7301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1058 loss: 2.1058 2022/06/28 08:18:34 - mmengine - INFO - Epoch(train) [40][660/3757] lr: 1.000e-02 eta: 16:51:29 time: 0.750 data_time: 0.011 memory: 5150 grad_norm: 5.7051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0942 loss: 2.0942 2022/06/28 08:18:39 - mmengine - INFO - Epoch(train) [40][680/3757] lr: 1.000e-02 eta: 16:51:24 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.0111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8396 loss: 1.8396 2022/06/28 08:18:45 - mmengine - INFO - Epoch(train) [40][700/3757] lr: 1.000e-02 eta: 16:51:19 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.3963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9202 loss: 1.9202 2022/06/28 08:18:50 - mmengine - INFO - Epoch(train) [40][720/3757] lr: 1.000e-02 eta: 16:51:13 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 5.1980 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1925 loss: 2.1925 2022/06/28 08:18:56 - mmengine - INFO - Epoch(train) [40][740/3757] lr: 1.000e-02 eta: 16:51:09 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.3701 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8868 loss: 1.8868 2022/06/28 08:19:02 - mmengine - INFO - Epoch(train) [40][760/3757] lr: 1.000e-02 eta: 16:51:05 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.3933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0787 loss: 2.0787 2022/06/28 08:19:06 - mmengine - INFO - Epoch(train) [40][780/3757] lr: 1.000e-02 eta: 16:50:58 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.4160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7044 loss: 1.7044 2022/06/28 08:19:12 - mmengine - INFO - Epoch(train) [40][800/3757] lr: 1.000e-02 eta: 16:50:53 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.9984 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0335 loss: 2.0335 2022/06/28 08:19:17 - mmengine - INFO - Epoch(train) [40][820/3757] lr: 1.000e-02 eta: 16:50:47 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 6.2862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8649 loss: 1.8649 2022/06/28 08:19:22 - mmengine - INFO - Epoch(train) [40][840/3757] lr: 1.000e-02 eta: 16:50:42 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.1698 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6127 loss: 1.6127 2022/06/28 08:19:27 - mmengine - INFO - Epoch(train) [40][860/3757] lr: 1.000e-02 eta: 16:50:37 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 5.5573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7679 loss: 1.7679 2022/06/28 08:19:33 - mmengine - INFO - Epoch(train) [40][880/3757] lr: 1.000e-02 eta: 16:50:32 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.7520 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9029 loss: 1.9029 2022/06/28 08:19:38 - mmengine - INFO - Epoch(train) [40][900/3757] lr: 1.000e-02 eta: 16:50:26 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 5.7831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0555 loss: 2.0555 2022/06/28 08:19:44 - mmengine - INFO - Epoch(train) [40][920/3757] lr: 1.000e-02 eta: 16:50:22 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.3414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7355 loss: 1.7355 2022/06/28 08:19:49 - mmengine - INFO - Epoch(train) [40][940/3757] lr: 1.000e-02 eta: 16:50:16 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 5.4237 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9628 loss: 1.9628 2022/06/28 08:19:54 - mmengine - INFO - Epoch(train) [40][960/3757] lr: 1.000e-02 eta: 16:50:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1429 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4179 loss: 1.4179 2022/06/28 08:20:00 - mmengine - INFO - Epoch(train) [40][980/3757] lr: 1.000e-02 eta: 16:50:05 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.4216 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9529 loss: 1.9529 2022/06/28 08:20:05 - mmengine - INFO - Epoch(train) [40][1000/3757] lr: 1.000e-02 eta: 16:50:00 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 5.9716 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1296 loss: 2.1296 2022/06/28 08:20:10 - mmengine - INFO - Epoch(train) [40][1020/3757] lr: 1.000e-02 eta: 16:49:54 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.7004 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9433 loss: 1.9433 2022/06/28 08:20:15 - mmengine - INFO - Epoch(train) [40][1040/3757] lr: 1.000e-02 eta: 16:49:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.4440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6056 loss: 1.6056 2022/06/28 08:20:21 - mmengine - INFO - Epoch(train) [40][1060/3757] lr: 1.000e-02 eta: 16:49:44 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 5.9189 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0189 loss: 2.0189 2022/06/28 08:20:26 - mmengine - INFO - Epoch(train) [40][1080/3757] lr: 1.000e-02 eta: 16:49:38 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 5.3488 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9125 loss: 1.9125 2022/06/28 08:20:31 - mmengine - INFO - Epoch(train) [40][1100/3757] lr: 1.000e-02 eta: 16:49:32 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.9251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/06/28 08:20:37 - mmengine - INFO - Epoch(train) [40][1120/3757] lr: 1.000e-02 eta: 16:49:28 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 6.4506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1447 loss: 2.1447 2022/06/28 08:20:42 - mmengine - INFO - Epoch(train) [40][1140/3757] lr: 1.000e-02 eta: 16:49:22 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/06/28 08:20:47 - mmengine - INFO - Epoch(train) [40][1160/3757] lr: 1.000e-02 eta: 16:49:17 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8735 loss: 1.8735 2022/06/28 08:20:53 - mmengine - INFO - Epoch(train) [40][1180/3757] lr: 1.000e-02 eta: 16:49:13 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.5339 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8325 loss: 1.8325 2022/06/28 08:20:58 - mmengine - INFO - Epoch(train) [40][1200/3757] lr: 1.000e-02 eta: 16:49:07 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.0937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3173 loss: 2.3173 2022/06/28 08:21:03 - mmengine - INFO - Epoch(train) [40][1220/3757] lr: 1.000e-02 eta: 16:49:01 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7351 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8105 loss: 1.8105 2022/06/28 08:21:09 - mmengine - INFO - Epoch(train) [40][1240/3757] lr: 1.000e-02 eta: 16:48:56 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.4247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0658 loss: 2.0658 2022/06/28 08:21:14 - mmengine - INFO - Epoch(train) [40][1260/3757] lr: 1.000e-02 eta: 16:48:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.0601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9341 loss: 1.9341 2022/06/28 08:21:19 - mmengine - INFO - Epoch(train) [40][1280/3757] lr: 1.000e-02 eta: 16:48:45 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.3342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6269 loss: 1.6269 2022/06/28 08:21:25 - mmengine - INFO - Epoch(train) [40][1300/3757] lr: 1.000e-02 eta: 16:48:40 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.3620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9640 loss: 1.9640 2022/06/28 08:21:30 - mmengine - INFO - Epoch(train) [40][1320/3757] lr: 1.000e-02 eta: 16:48:34 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.6440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6713 loss: 1.6713 2022/06/28 08:21:35 - mmengine - INFO - Epoch(train) [40][1340/3757] lr: 1.000e-02 eta: 16:48:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7752 loss: 1.7752 2022/06/28 08:21:41 - mmengine - INFO - Epoch(train) [40][1360/3757] lr: 1.000e-02 eta: 16:48:24 time: 0.224 data_time: 0.014 memory: 5150 grad_norm: 6.3199 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1419 loss: 2.1419 2022/06/28 08:21:46 - mmengine - INFO - Epoch(train) [40][1380/3757] lr: 1.000e-02 eta: 16:48:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.2050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0832 loss: 2.0832 2022/06/28 08:21:51 - mmengine - INFO - Epoch(train) [40][1400/3757] lr: 1.000e-02 eta: 16:48:13 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.0781 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6948 loss: 1.6948 2022/06/28 08:21:56 - mmengine - INFO - Epoch(train) [40][1420/3757] lr: 1.000e-02 eta: 16:48:08 time: 0.212 data_time: 0.017 memory: 5150 grad_norm: 6.3277 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3282 loss: 2.3282 2022/06/28 08:22:01 - mmengine - INFO - Epoch(train) [40][1440/3757] lr: 1.000e-02 eta: 16:48:02 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.1724 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9456 loss: 1.9456 2022/06/28 08:22:07 - mmengine - INFO - Epoch(train) [40][1460/3757] lr: 1.000e-02 eta: 16:47:57 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.5734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8588 loss: 1.8588 2022/06/28 08:22:12 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:22:13 - mmengine - INFO - Epoch(train) [40][1480/3757] lr: 1.000e-02 eta: 16:47:52 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 6.2541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0836 loss: 2.0836 2022/06/28 08:22:17 - mmengine - INFO - Epoch(train) [40][1500/3757] lr: 1.000e-02 eta: 16:47:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8012 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9225 loss: 1.9225 2022/06/28 08:22:23 - mmengine - INFO - Epoch(train) [40][1520/3757] lr: 1.000e-02 eta: 16:47:42 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.5527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1239 loss: 2.1239 2022/06/28 08:22:28 - mmengine - INFO - Epoch(train) [40][1540/3757] lr: 1.000e-02 eta: 16:47:36 time: 0.216 data_time: 0.014 memory: 5150 grad_norm: 5.8257 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9951 loss: 1.9951 2022/06/28 08:22:34 - mmengine - INFO - Epoch(train) [40][1560/3757] lr: 1.000e-02 eta: 16:47:31 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.6004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6554 loss: 1.6554 2022/06/28 08:22:39 - mmengine - INFO - Epoch(train) [40][1580/3757] lr: 1.000e-02 eta: 16:47:25 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1735 loss: 2.1735 2022/06/28 08:22:44 - mmengine - INFO - Epoch(train) [40][1600/3757] lr: 1.000e-02 eta: 16:47:20 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.6296 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9991 loss: 1.9991 2022/06/28 08:22:49 - mmengine - INFO - Epoch(train) [40][1620/3757] lr: 1.000e-02 eta: 16:47:14 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.6927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9599 loss: 1.9599 2022/06/28 08:22:55 - mmengine - INFO - Epoch(train) [40][1640/3757] lr: 1.000e-02 eta: 16:47:10 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.4207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3143 loss: 2.3143 2022/06/28 08:23:00 - mmengine - INFO - Epoch(train) [40][1660/3757] lr: 1.000e-02 eta: 16:47:04 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.3728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1708 loss: 2.1708 2022/06/28 08:23:05 - mmengine - INFO - Epoch(train) [40][1680/3757] lr: 1.000e-02 eta: 16:46:58 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.2426 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.4457 loss: 2.4457 2022/06/28 08:23:11 - mmengine - INFO - Epoch(train) [40][1700/3757] lr: 1.000e-02 eta: 16:46:53 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 5.8366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9938 loss: 1.9938 2022/06/28 08:23:16 - mmengine - INFO - Epoch(train) [40][1720/3757] lr: 1.000e-02 eta: 16:46:48 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 5.8511 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3254 loss: 2.3254 2022/06/28 08:23:21 - mmengine - INFO - Epoch(train) [40][1740/3757] lr: 1.000e-02 eta: 16:46:43 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 6.0388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4144 loss: 1.4144 2022/06/28 08:23:27 - mmengine - INFO - Epoch(train) [40][1760/3757] lr: 1.000e-02 eta: 16:46:38 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 6.5292 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1677 loss: 2.1677 2022/06/28 08:23:33 - mmengine - INFO - Epoch(train) [40][1780/3757] lr: 1.000e-02 eta: 16:46:33 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.7826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7521 loss: 1.7521 2022/06/28 08:23:37 - mmengine - INFO - Epoch(train) [40][1800/3757] lr: 1.000e-02 eta: 16:46:27 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 6.1719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9927 loss: 1.9927 2022/06/28 08:23:43 - mmengine - INFO - Epoch(train) [40][1820/3757] lr: 1.000e-02 eta: 16:46:22 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.9014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3052 loss: 2.3052 2022/06/28 08:23:49 - mmengine - INFO - Epoch(train) [40][1840/3757] lr: 1.000e-02 eta: 16:46:17 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0584 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9305 loss: 1.9305 2022/06/28 08:23:53 - mmengine - INFO - Epoch(train) [40][1860/3757] lr: 1.000e-02 eta: 16:46:11 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.1714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0037 loss: 2.0037 2022/06/28 08:23:59 - mmengine - INFO - Epoch(train) [40][1880/3757] lr: 1.000e-02 eta: 16:46:06 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 6.0505 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1022 loss: 2.1022 2022/06/28 08:24:05 - mmengine - INFO - Epoch(train) [40][1900/3757] lr: 1.000e-02 eta: 16:46:01 time: 0.216 data_time: 0.015 memory: 5150 grad_norm: 5.6950 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0068 loss: 2.0068 2022/06/28 08:24:09 - mmengine - INFO - Epoch(train) [40][1920/3757] lr: 1.000e-02 eta: 16:45:54 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.0743 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2462 loss: 2.2462 2022/06/28 08:24:14 - mmengine - INFO - Epoch(train) [40][1940/3757] lr: 1.000e-02 eta: 16:45:48 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.8145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9909 loss: 1.9909 2022/06/28 08:24:19 - mmengine - INFO - Epoch(train) [40][1960/3757] lr: 1.000e-02 eta: 16:45:42 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 6.6155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9913 loss: 1.9913 2022/06/28 08:24:24 - mmengine - INFO - Epoch(train) [40][1980/3757] lr: 1.000e-02 eta: 16:45:37 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 5.7276 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9431 loss: 1.9431 2022/06/28 08:24:30 - mmengine - INFO - Epoch(train) [40][2000/3757] lr: 1.000e-02 eta: 16:45:32 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8228 loss: 1.8228 2022/06/28 08:24:35 - mmengine - INFO - Epoch(train) [40][2020/3757] lr: 1.000e-02 eta: 16:45:26 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.1200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0618 loss: 2.0618 2022/06/28 08:24:41 - mmengine - INFO - Epoch(train) [40][2040/3757] lr: 1.000e-02 eta: 16:45:22 time: 0.314 data_time: 0.017 memory: 5150 grad_norm: 6.3469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8933 loss: 1.8933 2022/06/28 08:24:47 - mmengine - INFO - Epoch(train) [40][2060/3757] lr: 1.000e-02 eta: 16:45:18 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5344 loss: 1.5344 2022/06/28 08:24:52 - mmengine - INFO - Epoch(train) [40][2080/3757] lr: 1.000e-02 eta: 16:45:12 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 5.9337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5386 loss: 2.5386 2022/06/28 08:24:57 - mmengine - INFO - Epoch(train) [40][2100/3757] lr: 1.000e-02 eta: 16:45:07 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.4173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9699 loss: 1.9699 2022/06/28 08:25:03 - mmengine - INFO - Epoch(train) [40][2120/3757] lr: 1.000e-02 eta: 16:45:03 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 4.7957 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0174 loss: 2.0174 2022/06/28 08:25:08 - mmengine - INFO - Epoch(train) [40][2140/3757] lr: 1.000e-02 eta: 16:44:57 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 5.6081 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9284 loss: 1.9284 2022/06/28 08:25:14 - mmengine - INFO - Epoch(train) [40][2160/3757] lr: 1.000e-02 eta: 16:44:52 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8556 loss: 1.8556 2022/06/28 08:25:19 - mmengine - INFO - Epoch(train) [40][2180/3757] lr: 1.000e-02 eta: 16:44:47 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.1441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0564 loss: 2.0564 2022/06/28 08:25:24 - mmengine - INFO - Epoch(train) [40][2200/3757] lr: 1.000e-02 eta: 16:44:41 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.8001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8076 loss: 1.8076 2022/06/28 08:25:30 - mmengine - INFO - Epoch(train) [40][2220/3757] lr: 1.000e-02 eta: 16:44:36 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7934 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.4580 loss: 2.4580 2022/06/28 08:25:35 - mmengine - INFO - Epoch(train) [40][2240/3757] lr: 1.000e-02 eta: 16:44:31 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.7229 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.1788 loss: 2.1788 2022/06/28 08:25:41 - mmengine - INFO - Epoch(train) [40][2260/3757] lr: 1.000e-02 eta: 16:44:26 time: 0.212 data_time: 0.033 memory: 5150 grad_norm: 5.3522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.3689 loss: 2.3689 2022/06/28 08:25:46 - mmengine - INFO - Epoch(train) [40][2280/3757] lr: 1.000e-02 eta: 16:44:20 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.1779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0883 loss: 2.0883 2022/06/28 08:25:52 - mmengine - INFO - Epoch(train) [40][2300/3757] lr: 1.000e-02 eta: 16:44:16 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 4.7967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7627 loss: 1.7627 2022/06/28 08:25:57 - mmengine - INFO - Epoch(train) [40][2320/3757] lr: 1.000e-02 eta: 16:44:10 time: 0.207 data_time: 0.020 memory: 5150 grad_norm: 5.7172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0217 loss: 2.0217 2022/06/28 08:26:02 - mmengine - INFO - Epoch(train) [40][2340/3757] lr: 1.000e-02 eta: 16:44:04 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.8957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9240 loss: 1.9240 2022/06/28 08:26:07 - mmengine - INFO - Epoch(train) [40][2360/3757] lr: 1.000e-02 eta: 16:43:59 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.0847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1645 loss: 2.1645 2022/06/28 08:26:12 - mmengine - INFO - Epoch(train) [40][2380/3757] lr: 1.000e-02 eta: 16:43:53 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.5615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0675 loss: 2.0675 2022/06/28 08:26:18 - mmengine - INFO - Epoch(train) [40][2400/3757] lr: 1.000e-02 eta: 16:43:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8846 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0585 loss: 2.0585 2022/06/28 08:26:23 - mmengine - INFO - Epoch(train) [40][2420/3757] lr: 1.000e-02 eta: 16:43:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2863 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8386 loss: 1.8386 2022/06/28 08:26:28 - mmengine - INFO - Epoch(train) [40][2440/3757] lr: 1.000e-02 eta: 16:43:37 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.9343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0446 loss: 2.0446 2022/06/28 08:26:34 - mmengine - INFO - Epoch(train) [40][2460/3757] lr: 1.000e-02 eta: 16:43:33 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.4325 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7751 loss: 1.7751 2022/06/28 08:26:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:26:39 - mmengine - INFO - Epoch(train) [40][2480/3757] lr: 1.000e-02 eta: 16:43:28 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5202 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.1642 loss: 2.1642 2022/06/28 08:26:44 - mmengine - INFO - Epoch(train) [40][2500/3757] lr: 1.000e-02 eta: 16:43:22 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.0285 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9477 loss: 1.9477 2022/06/28 08:26:50 - mmengine - INFO - Epoch(train) [40][2520/3757] lr: 1.000e-02 eta: 16:43:17 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 5.0798 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0480 loss: 2.0480 2022/06/28 08:26:55 - mmengine - INFO - Epoch(train) [40][2540/3757] lr: 1.000e-02 eta: 16:43:12 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.0920 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9735 loss: 1.9735 2022/06/28 08:27:00 - mmengine - INFO - Epoch(train) [40][2560/3757] lr: 1.000e-02 eta: 16:43:06 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.4688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9888 loss: 1.9888 2022/06/28 08:27:06 - mmengine - INFO - Epoch(train) [40][2580/3757] lr: 1.000e-02 eta: 16:43:01 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.9679 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6215 loss: 1.6215 2022/06/28 08:27:12 - mmengine - INFO - Epoch(train) [40][2600/3757] lr: 1.000e-02 eta: 16:42:56 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 4.6864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8996 loss: 1.8996 2022/06/28 08:27:16 - mmengine - INFO - Epoch(train) [40][2620/3757] lr: 1.000e-02 eta: 16:42:50 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.2380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8892 loss: 1.8892 2022/06/28 08:27:22 - mmengine - INFO - Epoch(train) [40][2640/3757] lr: 1.000e-02 eta: 16:42:45 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.1962 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.0574 loss: 2.0574 2022/06/28 08:27:27 - mmengine - INFO - Epoch(train) [40][2660/3757] lr: 1.000e-02 eta: 16:42:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7483 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5477 loss: 1.5477 2022/06/28 08:27:33 - mmengine - INFO - Epoch(train) [40][2680/3757] lr: 1.000e-02 eta: 16:42:34 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.0895 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0438 loss: 2.0438 2022/06/28 08:27:38 - mmengine - INFO - Epoch(train) [40][2700/3757] lr: 1.000e-02 eta: 16:42:29 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.5748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0497 loss: 2.0497 2022/06/28 08:27:43 - mmengine - INFO - Epoch(train) [40][2720/3757] lr: 1.000e-02 eta: 16:42:24 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 6.0563 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1195 loss: 2.1195 2022/06/28 08:27:48 - mmengine - INFO - Epoch(train) [40][2740/3757] lr: 1.000e-02 eta: 16:42:18 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 5.4911 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2689 loss: 2.2689 2022/06/28 08:27:54 - mmengine - INFO - Epoch(train) [40][2760/3757] lr: 1.000e-02 eta: 16:42:13 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.4044 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6982 loss: 1.6982 2022/06/28 08:27:59 - mmengine - INFO - Epoch(train) [40][2780/3757] lr: 1.000e-02 eta: 16:42:08 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3963 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8080 loss: 1.8080 2022/06/28 08:28:04 - mmengine - INFO - Epoch(train) [40][2800/3757] lr: 1.000e-02 eta: 16:42:02 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.8513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1206 loss: 2.1206 2022/06/28 08:28:10 - mmengine - INFO - Epoch(train) [40][2820/3757] lr: 1.000e-02 eta: 16:41:57 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.0208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8659 loss: 1.8659 2022/06/28 08:28:15 - mmengine - INFO - Epoch(train) [40][2840/3757] lr: 1.000e-02 eta: 16:41:53 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.0337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8220 loss: 1.8220 2022/06/28 08:28:20 - mmengine - INFO - Epoch(train) [40][2860/3757] lr: 1.000e-02 eta: 16:41:46 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 5.5032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9144 loss: 1.9144 2022/06/28 08:28:26 - mmengine - INFO - Epoch(train) [40][2880/3757] lr: 1.000e-02 eta: 16:41:42 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.5244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1047 loss: 2.1047 2022/06/28 08:28:31 - mmengine - INFO - Epoch(train) [40][2900/3757] lr: 1.000e-02 eta: 16:41:36 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.2140 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1699 loss: 2.1699 2022/06/28 08:28:37 - mmengine - INFO - Epoch(train) [40][2920/3757] lr: 1.000e-02 eta: 16:41:31 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 6.0953 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3578 loss: 1.3578 2022/06/28 08:28:42 - mmengine - INFO - Epoch(train) [40][2940/3757] lr: 1.000e-02 eta: 16:41:27 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.7847 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2009 loss: 2.2009 2022/06/28 08:28:47 - mmengine - INFO - Epoch(train) [40][2960/3757] lr: 1.000e-02 eta: 16:41:20 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9180 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1412 loss: 2.1412 2022/06/28 08:28:52 - mmengine - INFO - Epoch(train) [40][2980/3757] lr: 1.000e-02 eta: 16:41:15 time: 0.219 data_time: 0.015 memory: 5150 grad_norm: 5.4762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9083 loss: 1.9083 2022/06/28 08:28:58 - mmengine - INFO - Epoch(train) [40][3000/3757] lr: 1.000e-02 eta: 16:41:10 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.6836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1641 loss: 2.1641 2022/06/28 08:29:03 - mmengine - INFO - Epoch(train) [40][3020/3757] lr: 1.000e-02 eta: 16:41:04 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5699 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1133 loss: 2.1133 2022/06/28 08:29:08 - mmengine - INFO - Epoch(train) [40][3040/3757] lr: 1.000e-02 eta: 16:40:59 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 5.9135 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5888 loss: 1.5888 2022/06/28 08:29:14 - mmengine - INFO - Epoch(train) [40][3060/3757] lr: 1.000e-02 eta: 16:40:54 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5888 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0465 loss: 2.0465 2022/06/28 08:29:19 - mmengine - INFO - Epoch(train) [40][3080/3757] lr: 1.000e-02 eta: 16:40:48 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.4699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6759 loss: 1.6759 2022/06/28 08:29:25 - mmengine - INFO - Epoch(train) [40][3100/3757] lr: 1.000e-02 eta: 16:40:43 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 4.7473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0715 loss: 2.0715 2022/06/28 08:29:30 - mmengine - INFO - Epoch(train) [40][3120/3757] lr: 1.000e-02 eta: 16:40:39 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7759 loss: 1.7759 2022/06/28 08:29:35 - mmengine - INFO - Epoch(train) [40][3140/3757] lr: 1.000e-02 eta: 16:40:33 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.1150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/06/28 08:29:41 - mmengine - INFO - Epoch(train) [40][3160/3757] lr: 1.000e-02 eta: 16:40:28 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.1033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8492 loss: 1.8492 2022/06/28 08:29:47 - mmengine - INFO - Epoch(train) [40][3180/3757] lr: 1.000e-02 eta: 16:40:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0560 loss: 2.0560 2022/06/28 08:29:51 - mmengine - INFO - Epoch(train) [40][3200/3757] lr: 1.000e-02 eta: 16:40:17 time: 0.280 data_time: 0.031 memory: 5150 grad_norm: 5.3044 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3341 loss: 2.3341 2022/06/28 08:29:57 - mmengine - INFO - Epoch(train) [40][3220/3757] lr: 1.000e-02 eta: 16:40:12 time: 0.228 data_time: 0.009 memory: 5150 grad_norm: 6.0940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1972 loss: 2.1972 2022/06/28 08:30:02 - mmengine - INFO - Epoch(train) [40][3240/3757] lr: 1.000e-02 eta: 16:40:07 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4908 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.9063 loss: 1.9063 2022/06/28 08:30:07 - mmengine - INFO - Epoch(train) [40][3260/3757] lr: 1.000e-02 eta: 16:40:01 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.7838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9765 loss: 1.9765 2022/06/28 08:30:13 - mmengine - INFO - Epoch(train) [40][3280/3757] lr: 1.000e-02 eta: 16:39:57 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 6.0524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3125 loss: 2.3125 2022/06/28 08:30:18 - mmengine - INFO - Epoch(train) [40][3300/3757] lr: 1.000e-02 eta: 16:39:51 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.1615 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6769 loss: 1.6769 2022/06/28 08:30:23 - mmengine - INFO - Epoch(train) [40][3320/3757] lr: 1.000e-02 eta: 16:39:45 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0589 loss: 2.0589 2022/06/28 08:30:29 - mmengine - INFO - Epoch(train) [40][3340/3757] lr: 1.000e-02 eta: 16:39:40 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 5.6659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7225 loss: 1.7225 2022/06/28 08:30:34 - mmengine - INFO - Epoch(train) [40][3360/3757] lr: 1.000e-02 eta: 16:39:35 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.5749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0682 loss: 2.0682 2022/06/28 08:30:39 - mmengine - INFO - Epoch(train) [40][3380/3757] lr: 1.000e-02 eta: 16:39:29 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.8231 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2631 loss: 2.2631 2022/06/28 08:30:45 - mmengine - INFO - Epoch(train) [40][3400/3757] lr: 1.000e-02 eta: 16:39:24 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.2871 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.2362 loss: 2.2362 2022/06/28 08:30:50 - mmengine - INFO - Epoch(train) [40][3420/3757] lr: 1.000e-02 eta: 16:39:19 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 6.1658 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3693 loss: 2.3693 2022/06/28 08:30:55 - mmengine - INFO - Epoch(train) [40][3440/3757] lr: 1.000e-02 eta: 16:39:14 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.2852 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9850 loss: 1.9850 2022/06/28 08:31:01 - mmengine - INFO - Epoch(train) [40][3460/3757] lr: 1.000e-02 eta: 16:39:08 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 5.4114 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1753 loss: 2.1753 2022/06/28 08:31:06 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:31:07 - mmengine - INFO - Epoch(train) [40][3480/3757] lr: 1.000e-02 eta: 16:39:04 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1109 loss: 2.1109 2022/06/28 08:31:13 - mmengine - INFO - Epoch(train) [40][3500/3757] lr: 1.000e-02 eta: 16:39:00 time: 0.195 data_time: 0.021 memory: 5150 grad_norm: 5.2365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9201 loss: 1.9201 2022/06/28 08:31:17 - mmengine - INFO - Epoch(train) [40][3520/3757] lr: 1.000e-02 eta: 16:38:53 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.7250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6682 loss: 1.6682 2022/06/28 08:31:22 - mmengine - INFO - Epoch(train) [40][3540/3757] lr: 1.000e-02 eta: 16:38:47 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 5.4310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6836 loss: 1.6836 2022/06/28 08:31:28 - mmengine - INFO - Epoch(train) [40][3560/3757] lr: 1.000e-02 eta: 16:38:42 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 5.4488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9715 loss: 1.9715 2022/06/28 08:31:33 - mmengine - INFO - Epoch(train) [40][3580/3757] lr: 1.000e-02 eta: 16:38:37 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1624 loss: 2.1624 2022/06/28 08:31:39 - mmengine - INFO - Epoch(train) [40][3600/3757] lr: 1.000e-02 eta: 16:38:32 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2565 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9360 loss: 1.9360 2022/06/28 08:31:44 - mmengine - INFO - Epoch(train) [40][3620/3757] lr: 1.000e-02 eta: 16:38:26 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 5.3877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.1513 loss: 2.1513 2022/06/28 08:31:49 - mmengine - INFO - Epoch(train) [40][3640/3757] lr: 1.000e-02 eta: 16:38:21 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.7149 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7651 loss: 1.7651 2022/06/28 08:31:54 - mmengine - INFO - Epoch(train) [40][3660/3757] lr: 1.000e-02 eta: 16:38:16 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.5340 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1709 loss: 2.1709 2022/06/28 08:32:00 - mmengine - INFO - Epoch(train) [40][3680/3757] lr: 1.000e-02 eta: 16:38:11 time: 0.205 data_time: 0.024 memory: 5150 grad_norm: 5.7319 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0928 loss: 2.0928 2022/06/28 08:32:05 - mmengine - INFO - Epoch(train) [40][3700/3757] lr: 1.000e-02 eta: 16:38:06 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9644 loss: 1.9644 2022/06/28 08:32:10 - mmengine - INFO - Epoch(train) [40][3720/3757] lr: 1.000e-02 eta: 16:38:00 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 4.8907 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6906 loss: 2.6906 2022/06/28 08:32:16 - mmengine - INFO - Epoch(train) [40][3740/3757] lr: 1.000e-02 eta: 16:37:55 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 5.9593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9477 loss: 1.9477 2022/06/28 08:32:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:32:19 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/06/28 08:32:55 - mmengine - INFO - Epoch(val) [40][20/310] eta: 0:05:57 time: 1.064 data_time: 0.427 memory: 9746 2022/06/28 08:33:16 - mmengine - INFO - Epoch(val) [40][40/310] eta: 0:04:46 time: 1.102 data_time: 0.450 memory: 9746 2022/06/28 08:33:40 - mmengine - INFO - Epoch(val) [40][60/310] eta: 0:04:25 time: 1.140 data_time: 0.535 memory: 9746 2022/06/28 08:34:03 - mmengine - INFO - Epoch(val) [40][80/310] eta: 0:05:10 time: 1.045 data_time: 0.405 memory: 9746 2022/06/28 08:34:26 - mmengine - INFO - Epoch(val) [40][100/310] eta: 0:04:12 time: 2.519 data_time: 1.856 memory: 9746 2022/06/28 08:34:48 - mmengine - INFO - Epoch(val) [40][120/310] eta: 0:03:28 time: 1.121 data_time: 0.474 memory: 9746 2022/06/28 08:35:12 - mmengine - INFO - Epoch(val) [40][140/310] eta: 0:03:19 time: 1.065 data_time: 0.427 memory: 9746 2022/06/28 08:35:36 - mmengine - INFO - Epoch(val) [40][160/310] eta: 0:03:16 time: 3.379 data_time: 2.676 memory: 9746 2022/06/28 08:36:00 - mmengine - INFO - Epoch(val) [40][180/310] eta: 0:02:55 time: 1.047 data_time: 0.390 memory: 9746 2022/06/28 08:36:22 - mmengine - INFO - Epoch(val) [40][200/310] eta: 0:02:10 time: 1.081 data_time: 0.482 memory: 9746 2022/06/28 08:36:44 - mmengine - INFO - Epoch(val) [40][220/310] eta: 0:01:37 time: 1.213 data_time: 0.568 memory: 9746 2022/06/28 08:37:06 - mmengine - INFO - Epoch(val) [40][240/310] eta: 0:01:15 time: 1.039 data_time: 0.399 memory: 9746 2022/06/28 08:37:28 - mmengine - INFO - Epoch(val) [40][260/310] eta: 0:00:58 time: 1.072 data_time: 0.428 memory: 9746 2022/06/28 08:37:52 - mmengine - INFO - Epoch(val) [40][280/310] eta: 0:00:35 time: 2.478 data_time: 1.810 memory: 9746 2022/06/28 08:38:10 - mmengine - INFO - Epoch(val) [40][300/310] eta: 0:00:08 time: 0.658 data_time: 0.090 memory: 9746 2022/06/28 08:38:21 - mmengine - INFO - Epoch(val) [40][310/310] acc/top1: 0.6194 acc/top5: 0.8454 acc/mean1: 0.6193 2022/06/28 08:38:30 - mmengine - INFO - Epoch(train) [41][20/3757] lr: 1.000e-03 eta: 16:37:46 time: 0.211 data_time: 0.006 memory: 9746 grad_norm: 5.7131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1245 loss: 2.1245 2022/06/28 08:38:35 - mmengine - INFO - Epoch(train) [41][40/3757] lr: 1.000e-03 eta: 16:37:42 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 4.7429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0533 loss: 2.0533 2022/06/28 08:38:40 - mmengine - INFO - Epoch(train) [41][60/3757] lr: 1.000e-03 eta: 16:37:36 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/06/28 08:38:46 - mmengine - INFO - Epoch(train) [41][80/3757] lr: 1.000e-03 eta: 16:37:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.1091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6565 loss: 1.6565 2022/06/28 08:38:51 - mmengine - INFO - Epoch(train) [41][100/3757] lr: 1.000e-03 eta: 16:37:26 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.3656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7161 loss: 1.7161 2022/06/28 08:38:57 - mmengine - INFO - Epoch(train) [41][120/3757] lr: 1.000e-03 eta: 16:37:20 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0529 loss: 2.0529 2022/06/28 08:39:02 - mmengine - INFO - Epoch(train) [41][140/3757] lr: 1.000e-03 eta: 16:37:15 time: 0.264 data_time: 0.007 memory: 5150 grad_norm: 4.6123 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6987 loss: 1.6987 2022/06/28 08:39:08 - mmengine - INFO - Epoch(train) [41][160/3757] lr: 1.000e-03 eta: 16:37:10 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.6421 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8146 loss: 1.8146 2022/06/28 08:39:12 - mmengine - INFO - Epoch(train) [41][180/3757] lr: 1.000e-03 eta: 16:37:04 time: 0.256 data_time: 0.008 memory: 5150 grad_norm: 5.2030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9407 loss: 1.9407 2022/06/28 08:39:18 - mmengine - INFO - Epoch(train) [41][200/3757] lr: 1.000e-03 eta: 16:36:59 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.7368 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9932 loss: 1.9932 2022/06/28 08:39:24 - mmengine - INFO - Epoch(train) [41][220/3757] lr: 1.000e-03 eta: 16:36:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 4.5905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6048 loss: 1.6048 2022/06/28 08:39:29 - mmengine - INFO - Epoch(train) [41][240/3757] lr: 1.000e-03 eta: 16:36:49 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.9880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7300 loss: 1.7300 2022/06/28 08:39:34 - mmengine - INFO - Epoch(train) [41][260/3757] lr: 1.000e-03 eta: 16:36:44 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.7500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3727 loss: 1.3727 2022/06/28 08:39:40 - mmengine - INFO - Epoch(train) [41][280/3757] lr: 1.000e-03 eta: 16:36:38 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.4614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5745 loss: 1.5745 2022/06/28 08:39:45 - mmengine - INFO - Epoch(train) [41][300/3757] lr: 1.000e-03 eta: 16:36:33 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4319 loss: 1.4319 2022/06/28 08:39:50 - mmengine - INFO - Epoch(train) [41][320/3757] lr: 1.000e-03 eta: 16:36:28 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.0166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2886 loss: 1.2886 2022/06/28 08:39:56 - mmengine - INFO - Epoch(train) [41][340/3757] lr: 1.000e-03 eta: 16:36:22 time: 0.190 data_time: 0.010 memory: 5150 grad_norm: 6.4901 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7004 loss: 1.7004 2022/06/28 08:40:01 - mmengine - INFO - Epoch(train) [41][360/3757] lr: 1.000e-03 eta: 16:36:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.1068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7995 loss: 1.7995 2022/06/28 08:40:07 - mmengine - INFO - Epoch(train) [41][380/3757] lr: 1.000e-03 eta: 16:36:13 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.3093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6447 loss: 1.6447 2022/06/28 08:40:13 - mmengine - INFO - Epoch(train) [41][400/3757] lr: 1.000e-03 eta: 16:36:08 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 4.7476 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9340 loss: 1.9340 2022/06/28 08:40:17 - mmengine - INFO - Epoch(train) [41][420/3757] lr: 1.000e-03 eta: 16:36:01 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9365 loss: 1.9365 2022/06/28 08:40:23 - mmengine - INFO - Epoch(train) [41][440/3757] lr: 1.000e-03 eta: 16:35:57 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.6470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7568 loss: 1.7568 2022/06/28 08:40:28 - mmengine - INFO - Epoch(train) [41][460/3757] lr: 1.000e-03 eta: 16:35:52 time: 0.228 data_time: 0.010 memory: 5150 grad_norm: 4.7700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6293 loss: 1.6293 2022/06/28 08:40:33 - mmengine - INFO - Epoch(train) [41][480/3757] lr: 1.000e-03 eta: 16:35:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.0340 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6438 loss: 1.6438 2022/06/28 08:40:39 - mmengine - INFO - Epoch(train) [41][500/3757] lr: 1.000e-03 eta: 16:35:41 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 4.6920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8186 loss: 1.8186 2022/06/28 08:40:44 - mmengine - INFO - Epoch(train) [41][520/3757] lr: 1.000e-03 eta: 16:35:36 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.6122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6314 loss: 1.6314 2022/06/28 08:40:49 - mmengine - INFO - Epoch(train) [41][540/3757] lr: 1.000e-03 eta: 16:35:29 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 6.1852 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0003 loss: 2.0003 2022/06/28 08:40:55 - mmengine - INFO - Epoch(train) [41][560/3757] lr: 1.000e-03 eta: 16:35:25 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6754 loss: 1.6754 2022/06/28 08:41:00 - mmengine - INFO - Epoch(train) [41][580/3757] lr: 1.000e-03 eta: 16:35:19 time: 0.198 data_time: 0.023 memory: 5150 grad_norm: 5.6424 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9819 loss: 1.9819 2022/06/28 08:41:05 - mmengine - INFO - Epoch(train) [41][600/3757] lr: 1.000e-03 eta: 16:35:14 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 5.4828 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8151 loss: 1.8151 2022/06/28 08:41:10 - mmengine - INFO - Epoch(train) [41][620/3757] lr: 1.000e-03 eta: 16:35:08 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8002 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/06/28 08:41:16 - mmengine - INFO - Epoch(train) [41][640/3757] lr: 1.000e-03 eta: 16:35:03 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3736 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9131 loss: 1.9131 2022/06/28 08:41:20 - mmengine - INFO - Epoch(train) [41][660/3757] lr: 1.000e-03 eta: 16:34:57 time: 0.199 data_time: 0.017 memory: 5150 grad_norm: 6.0765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9496 loss: 1.9496 2022/06/28 08:41:26 - mmengine - INFO - Epoch(train) [41][680/3757] lr: 1.000e-03 eta: 16:34:51 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 4.9007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6136 loss: 1.6136 2022/06/28 08:41:31 - mmengine - INFO - Epoch(train) [41][700/3757] lr: 1.000e-03 eta: 16:34:46 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 6.0467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6039 loss: 1.6039 2022/06/28 08:41:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:41:36 - mmengine - INFO - Epoch(train) [41][720/3757] lr: 1.000e-03 eta: 16:34:40 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.0537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7033 loss: 1.7033 2022/06/28 08:41:42 - mmengine - INFO - Epoch(train) [41][740/3757] lr: 1.000e-03 eta: 16:34:35 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 5.3839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8183 loss: 1.8183 2022/06/28 08:41:47 - mmengine - INFO - Epoch(train) [41][760/3757] lr: 1.000e-03 eta: 16:34:30 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6515 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8443 loss: 1.8443 2022/06/28 08:41:52 - mmengine - INFO - Epoch(train) [41][780/3757] lr: 1.000e-03 eta: 16:34:24 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 5.3488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8014 loss: 1.8014 2022/06/28 08:41:57 - mmengine - INFO - Epoch(train) [41][800/3757] lr: 1.000e-03 eta: 16:34:19 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 5.7784 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7569 loss: 1.7569 2022/06/28 08:42:02 - mmengine - INFO - Epoch(train) [41][820/3757] lr: 1.000e-03 eta: 16:34:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8280 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8875 loss: 1.8875 2022/06/28 08:42:07 - mmengine - INFO - Epoch(train) [41][840/3757] lr: 1.000e-03 eta: 16:34:08 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.3195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7002 loss: 1.7002 2022/06/28 08:42:13 - mmengine - INFO - Epoch(train) [41][860/3757] lr: 1.000e-03 eta: 16:34:03 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.3783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8592 loss: 1.8592 2022/06/28 08:42:19 - mmengine - INFO - Epoch(train) [41][880/3757] lr: 1.000e-03 eta: 16:33:58 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 6.2319 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6348 loss: 1.6348 2022/06/28 08:42:24 - mmengine - INFO - Epoch(train) [41][900/3757] lr: 1.000e-03 eta: 16:33:52 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 4.4837 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0379 loss: 2.0379 2022/06/28 08:42:29 - mmengine - INFO - Epoch(train) [41][920/3757] lr: 1.000e-03 eta: 16:33:47 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.2025 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9873 loss: 1.9873 2022/06/28 08:42:35 - mmengine - INFO - Epoch(train) [41][940/3757] lr: 1.000e-03 eta: 16:33:42 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.3176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/06/28 08:42:40 - mmengine - INFO - Epoch(train) [41][960/3757] lr: 1.000e-03 eta: 16:33:36 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 5.8694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5964 loss: 1.5964 2022/06/28 08:42:45 - mmengine - INFO - Epoch(train) [41][980/3757] lr: 1.000e-03 eta: 16:33:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4736 loss: 1.4736 2022/06/28 08:42:50 - mmengine - INFO - Epoch(train) [41][1000/3757] lr: 1.000e-03 eta: 16:33:26 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.4654 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8683 loss: 1.8683 2022/06/28 08:42:55 - mmengine - INFO - Epoch(train) [41][1020/3757] lr: 1.000e-03 eta: 16:33:20 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.4442 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6003 loss: 1.6003 2022/06/28 08:43:01 - mmengine - INFO - Epoch(train) [41][1040/3757] lr: 1.000e-03 eta: 16:33:15 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.0684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4136 loss: 1.4136 2022/06/28 08:43:07 - mmengine - INFO - Epoch(train) [41][1060/3757] lr: 1.000e-03 eta: 16:33:10 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8833 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6093 loss: 1.6093 2022/06/28 08:43:12 - mmengine - INFO - Epoch(train) [41][1080/3757] lr: 1.000e-03 eta: 16:33:04 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.4224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5949 loss: 1.5949 2022/06/28 08:43:17 - mmengine - INFO - Epoch(train) [41][1100/3757] lr: 1.000e-03 eta: 16:32:59 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.3020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3091 loss: 1.3091 2022/06/28 08:43:22 - mmengine - INFO - Epoch(train) [41][1120/3757] lr: 1.000e-03 eta: 16:32:54 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.2383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5617 loss: 1.5617 2022/06/28 08:43:27 - mmengine - INFO - Epoch(train) [41][1140/3757] lr: 1.000e-03 eta: 16:32:48 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.8852 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7248 loss: 1.7248 2022/06/28 08:43:33 - mmengine - INFO - Epoch(train) [41][1160/3757] lr: 1.000e-03 eta: 16:32:43 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2344 loss: 1.2344 2022/06/28 08:43:39 - mmengine - INFO - Epoch(train) [41][1180/3757] lr: 1.000e-03 eta: 16:32:39 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.6502 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9184 loss: 1.9184 2022/06/28 08:43:44 - mmengine - INFO - Epoch(train) [41][1200/3757] lr: 1.000e-03 eta: 16:32:33 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.8592 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6012 loss: 1.6012 2022/06/28 08:43:49 - mmengine - INFO - Epoch(train) [41][1220/3757] lr: 1.000e-03 eta: 16:32:28 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.6608 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5179 loss: 1.5179 2022/06/28 08:43:55 - mmengine - INFO - Epoch(train) [41][1240/3757] lr: 1.000e-03 eta: 16:32:23 time: 0.332 data_time: 0.007 memory: 5150 grad_norm: 5.3957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/06/28 08:44:00 - mmengine - INFO - Epoch(train) [41][1260/3757] lr: 1.000e-03 eta: 16:32:17 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.4515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5956 loss: 1.5956 2022/06/28 08:44:06 - mmengine - INFO - Epoch(train) [41][1280/3757] lr: 1.000e-03 eta: 16:32:12 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.0081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5232 loss: 1.5232 2022/06/28 08:44:11 - mmengine - INFO - Epoch(train) [41][1300/3757] lr: 1.000e-03 eta: 16:32:07 time: 0.694 data_time: 0.007 memory: 5150 grad_norm: 6.7070 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8120 loss: 1.8120 2022/06/28 08:44:16 - mmengine - INFO - Epoch(train) [41][1320/3757] lr: 1.000e-03 eta: 16:32:02 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1108 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7542 loss: 1.7542 2022/06/28 08:44:22 - mmengine - INFO - Epoch(train) [41][1340/3757] lr: 1.000e-03 eta: 16:31:57 time: 0.212 data_time: 0.017 memory: 5150 grad_norm: 5.1611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8824 loss: 1.8824 2022/06/28 08:44:27 - mmengine - INFO - Epoch(train) [41][1360/3757] lr: 1.000e-03 eta: 16:31:52 time: 0.663 data_time: 0.008 memory: 5150 grad_norm: 5.6501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4029 loss: 1.4029 2022/06/28 08:44:32 - mmengine - INFO - Epoch(train) [41][1380/3757] lr: 1.000e-03 eta: 16:31:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.0193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7585 loss: 1.7585 2022/06/28 08:44:38 - mmengine - INFO - Epoch(train) [41][1400/3757] lr: 1.000e-03 eta: 16:31:41 time: 0.212 data_time: 0.032 memory: 5150 grad_norm: 5.1557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6060 loss: 1.6060 2022/06/28 08:44:44 - mmengine - INFO - Epoch(train) [41][1420/3757] lr: 1.000e-03 eta: 16:31:37 time: 1.633 data_time: 0.006 memory: 5150 grad_norm: 6.3288 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7136 loss: 1.7136 2022/06/28 08:44:48 - mmengine - INFO - Epoch(train) [41][1440/3757] lr: 1.000e-03 eta: 16:31:29 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 4.3353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/06/28 08:44:52 - mmengine - INFO - Epoch(train) [41][1460/3757] lr: 1.000e-03 eta: 16:31:22 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 6.1094 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7306 loss: 1.7306 2022/06/28 08:44:57 - mmengine - INFO - Epoch(train) [41][1480/3757] lr: 1.000e-03 eta: 16:31:17 time: 0.669 data_time: 0.013 memory: 5150 grad_norm: 4.5372 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2840 loss: 1.2840 2022/06/28 08:45:02 - mmengine - INFO - Epoch(train) [41][1500/3757] lr: 1.000e-03 eta: 16:31:11 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.8168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8084 loss: 1.8084 2022/06/28 08:45:08 - mmengine - INFO - Epoch(train) [41][1520/3757] lr: 1.000e-03 eta: 16:31:07 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 4.6547 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8639 loss: 1.8639 2022/06/28 08:45:13 - mmengine - INFO - Epoch(train) [41][1540/3757] lr: 1.000e-03 eta: 16:31:01 time: 0.594 data_time: 0.010 memory: 5150 grad_norm: 6.2583 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7488 loss: 1.7488 2022/06/28 08:45:18 - mmengine - INFO - Epoch(train) [41][1560/3757] lr: 1.000e-03 eta: 16:30:55 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 4.9003 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4019 loss: 1.4019 2022/06/28 08:45:24 - mmengine - INFO - Epoch(train) [41][1580/3757] lr: 1.000e-03 eta: 16:30:51 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 4.8917 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 2.1222 loss: 2.1222 2022/06/28 08:45:29 - mmengine - INFO - Epoch(train) [41][1600/3757] lr: 1.000e-03 eta: 16:30:45 time: 0.409 data_time: 0.014 memory: 5150 grad_norm: 5.6524 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.9187 loss: 1.9187 2022/06/28 08:45:35 - mmengine - INFO - Epoch(train) [41][1620/3757] lr: 1.000e-03 eta: 16:30:40 time: 0.674 data_time: 0.007 memory: 5150 grad_norm: 4.9011 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2187 loss: 1.2187 2022/06/28 08:45:40 - mmengine - INFO - Epoch(train) [41][1640/3757] lr: 1.000e-03 eta: 16:30:34 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 4.9390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5817 loss: 1.5817 2022/06/28 08:45:45 - mmengine - INFO - Epoch(train) [41][1660/3757] lr: 1.000e-03 eta: 16:30:29 time: 0.508 data_time: 0.015 memory: 5150 grad_norm: 6.4594 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6275 loss: 1.6275 2022/06/28 08:45:50 - mmengine - INFO - Epoch(train) [41][1680/3757] lr: 1.000e-03 eta: 16:30:23 time: 0.233 data_time: 0.008 memory: 5150 grad_norm: 4.4973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3557 loss: 1.3557 2022/06/28 08:45:56 - mmengine - INFO - Epoch(train) [41][1700/3757] lr: 1.000e-03 eta: 16:30:19 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.3089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5728 loss: 1.5728 2022/06/28 08:46:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:46:01 - mmengine - INFO - Epoch(train) [41][1720/3757] lr: 1.000e-03 eta: 16:30:13 time: 0.503 data_time: 0.018 memory: 5150 grad_norm: 5.6727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8237 loss: 1.8237 2022/06/28 08:46:06 - mmengine - INFO - Epoch(train) [41][1740/3757] lr: 1.000e-03 eta: 16:30:07 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.8958 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/06/28 08:46:12 - mmengine - INFO - Epoch(train) [41][1760/3757] lr: 1.000e-03 eta: 16:30:03 time: 0.352 data_time: 0.016 memory: 5150 grad_norm: 5.6037 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4885 loss: 1.4885 2022/06/28 08:46:17 - mmengine - INFO - Epoch(train) [41][1780/3757] lr: 1.000e-03 eta: 16:29:57 time: 0.342 data_time: 0.019 memory: 5150 grad_norm: 5.2105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7739 loss: 1.7739 2022/06/28 08:46:22 - mmengine - INFO - Epoch(train) [41][1800/3757] lr: 1.000e-03 eta: 16:29:52 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 5.1086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5332 loss: 1.5332 2022/06/28 08:46:28 - mmengine - INFO - Epoch(train) [41][1820/3757] lr: 1.000e-03 eta: 16:29:47 time: 0.382 data_time: 0.006 memory: 5150 grad_norm: 6.2190 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6936 loss: 1.6936 2022/06/28 08:46:33 - mmengine - INFO - Epoch(train) [41][1840/3757] lr: 1.000e-03 eta: 16:29:41 time: 0.431 data_time: 0.015 memory: 5150 grad_norm: 5.1356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7442 loss: 1.7442 2022/06/28 08:46:38 - mmengine - INFO - Epoch(train) [41][1860/3757] lr: 1.000e-03 eta: 16:29:36 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.1799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4482 loss: 1.4482 2022/06/28 08:46:44 - mmengine - INFO - Epoch(train) [41][1880/3757] lr: 1.000e-03 eta: 16:29:31 time: 0.422 data_time: 0.007 memory: 5150 grad_norm: 5.5743 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6997 loss: 1.6997 2022/06/28 08:46:49 - mmengine - INFO - Epoch(train) [41][1900/3757] lr: 1.000e-03 eta: 16:29:25 time: 0.624 data_time: 0.011 memory: 5150 grad_norm: 5.7990 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7275 loss: 1.7275 2022/06/28 08:46:54 - mmengine - INFO - Epoch(train) [41][1920/3757] lr: 1.000e-03 eta: 16:29:20 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9083 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1905 loss: 2.1905 2022/06/28 08:46:59 - mmengine - INFO - Epoch(train) [41][1940/3757] lr: 1.000e-03 eta: 16:29:14 time: 0.739 data_time: 0.007 memory: 5150 grad_norm: 4.9211 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9009 loss: 1.9009 2022/06/28 08:47:04 - mmengine - INFO - Epoch(train) [41][1960/3757] lr: 1.000e-03 eta: 16:29:09 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.8698 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4161 loss: 1.4161 2022/06/28 08:47:10 - mmengine - INFO - Epoch(train) [41][1980/3757] lr: 1.000e-03 eta: 16:29:03 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/06/28 08:47:15 - mmengine - INFO - Epoch(train) [41][2000/3757] lr: 1.000e-03 eta: 16:28:58 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.0203 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7258 loss: 1.7258 2022/06/28 08:47:20 - mmengine - INFO - Epoch(train) [41][2020/3757] lr: 1.000e-03 eta: 16:28:52 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.4697 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4926 loss: 1.4926 2022/06/28 08:47:26 - mmengine - INFO - Epoch(train) [41][2040/3757] lr: 1.000e-03 eta: 16:28:47 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7941 loss: 1.7941 2022/06/28 08:47:32 - mmengine - INFO - Epoch(train) [41][2060/3757] lr: 1.000e-03 eta: 16:28:43 time: 0.879 data_time: 0.007 memory: 5150 grad_norm: 5.0353 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6729 loss: 1.6729 2022/06/28 08:47:36 - mmengine - INFO - Epoch(train) [41][2080/3757] lr: 1.000e-03 eta: 16:28:37 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 4.9917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.0902 loss: 2.0902 2022/06/28 08:47:42 - mmengine - INFO - Epoch(train) [41][2100/3757] lr: 1.000e-03 eta: 16:28:31 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9685 loss: 1.9685 2022/06/28 08:47:47 - mmengine - INFO - Epoch(train) [41][2120/3757] lr: 1.000e-03 eta: 16:28:26 time: 0.966 data_time: 0.008 memory: 5150 grad_norm: 4.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3962 loss: 1.3962 2022/06/28 08:47:52 - mmengine - INFO - Epoch(train) [41][2140/3757] lr: 1.000e-03 eta: 16:28:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.1135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7783 loss: 1.7783 2022/06/28 08:47:57 - mmengine - INFO - Epoch(train) [41][2160/3757] lr: 1.000e-03 eta: 16:28:15 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.8129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7395 loss: 1.7395 2022/06/28 08:48:03 - mmengine - INFO - Epoch(train) [41][2180/3757] lr: 1.000e-03 eta: 16:28:10 time: 1.019 data_time: 0.008 memory: 5150 grad_norm: 5.9232 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.8437 loss: 1.8437 2022/06/28 08:48:07 - mmengine - INFO - Epoch(train) [41][2200/3757] lr: 1.000e-03 eta: 16:28:04 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 6.3964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6922 loss: 1.6922 2022/06/28 08:48:13 - mmengine - INFO - Epoch(train) [41][2220/3757] lr: 1.000e-03 eta: 16:27:58 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.5035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9782 loss: 1.9782 2022/06/28 08:48:18 - mmengine - INFO - Epoch(train) [41][2240/3757] lr: 1.000e-03 eta: 16:27:53 time: 1.060 data_time: 0.010 memory: 5150 grad_norm: 5.3225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/06/28 08:48:24 - mmengine - INFO - Epoch(train) [41][2260/3757] lr: 1.000e-03 eta: 16:27:48 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.4007 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9662 loss: 1.9662 2022/06/28 08:48:29 - mmengine - INFO - Epoch(train) [41][2280/3757] lr: 1.000e-03 eta: 16:27:42 time: 0.200 data_time: 0.028 memory: 5150 grad_norm: 5.8738 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7278 loss: 1.7278 2022/06/28 08:48:35 - mmengine - INFO - Epoch(train) [41][2300/3757] lr: 1.000e-03 eta: 16:27:38 time: 0.493 data_time: 0.007 memory: 5150 grad_norm: 5.7468 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.0025 loss: 2.0025 2022/06/28 08:48:39 - mmengine - INFO - Epoch(train) [41][2320/3757] lr: 1.000e-03 eta: 16:27:32 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.1476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5588 loss: 1.5588 2022/06/28 08:48:45 - mmengine - INFO - Epoch(train) [41][2340/3757] lr: 1.000e-03 eta: 16:27:27 time: 0.205 data_time: 0.023 memory: 5150 grad_norm: 6.4342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6940 loss: 1.6940 2022/06/28 08:48:50 - mmengine - INFO - Epoch(train) [41][2360/3757] lr: 1.000e-03 eta: 16:27:21 time: 0.687 data_time: 0.008 memory: 5150 grad_norm: 5.3271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1547 loss: 1.1547 2022/06/28 08:48:55 - mmengine - INFO - Epoch(train) [41][2380/3757] lr: 1.000e-03 eta: 16:27:15 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 5.6180 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4510 loss: 1.4510 2022/06/28 08:49:00 - mmengine - INFO - Epoch(train) [41][2400/3757] lr: 1.000e-03 eta: 16:27:09 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 5.7334 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5297 loss: 1.5297 2022/06/28 08:49:05 - mmengine - INFO - Epoch(train) [41][2420/3757] lr: 1.000e-03 eta: 16:27:04 time: 0.317 data_time: 0.013 memory: 5150 grad_norm: 6.3639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3958 loss: 1.3958 2022/06/28 08:49:11 - mmengine - INFO - Epoch(train) [41][2440/3757] lr: 1.000e-03 eta: 16:26:59 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 5.5268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7498 loss: 1.7498 2022/06/28 08:49:16 - mmengine - INFO - Epoch(train) [41][2460/3757] lr: 1.000e-03 eta: 16:26:54 time: 0.226 data_time: 0.025 memory: 5150 grad_norm: 5.5263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/06/28 08:49:21 - mmengine - INFO - Epoch(train) [41][2480/3757] lr: 1.000e-03 eta: 16:26:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.7886 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6754 loss: 1.6754 2022/06/28 08:49:27 - mmengine - INFO - Epoch(train) [41][2500/3757] lr: 1.000e-03 eta: 16:26:43 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2150 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/06/28 08:49:32 - mmengine - INFO - Epoch(train) [41][2520/3757] lr: 1.000e-03 eta: 16:26:38 time: 0.208 data_time: 0.032 memory: 5150 grad_norm: 4.5935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3492 loss: 1.3492 2022/06/28 08:49:37 - mmengine - INFO - Epoch(train) [41][2540/3757] lr: 1.000e-03 eta: 16:26:32 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.5206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7279 loss: 1.7279 2022/06/28 08:49:42 - mmengine - INFO - Epoch(train) [41][2560/3757] lr: 1.000e-03 eta: 16:26:27 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 6.2867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6257 loss: 1.6257 2022/06/28 08:49:48 - mmengine - INFO - Epoch(train) [41][2580/3757] lr: 1.000e-03 eta: 16:26:22 time: 0.221 data_time: 0.023 memory: 5150 grad_norm: 5.3535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5723 loss: 1.5723 2022/06/28 08:49:53 - mmengine - INFO - Epoch(train) [41][2600/3757] lr: 1.000e-03 eta: 16:26:16 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.2350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9861 loss: 1.9861 2022/06/28 08:49:58 - mmengine - INFO - Epoch(train) [41][2620/3757] lr: 1.000e-03 eta: 16:26:10 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 6.2631 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0466 loss: 2.0466 2022/06/28 08:50:03 - mmengine - INFO - Epoch(train) [41][2640/3757] lr: 1.000e-03 eta: 16:26:05 time: 0.214 data_time: 0.018 memory: 5150 grad_norm: 5.6176 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6216 loss: 1.6216 2022/06/28 08:50:09 - mmengine - INFO - Epoch(train) [41][2660/3757] lr: 1.000e-03 eta: 16:26:01 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.2917 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9316 loss: 1.9316 2022/06/28 08:50:14 - mmengine - INFO - Epoch(train) [41][2680/3757] lr: 1.000e-03 eta: 16:25:55 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.7366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5700 loss: 1.5700 2022/06/28 08:50:20 - mmengine - INFO - Epoch(train) [41][2700/3757] lr: 1.000e-03 eta: 16:25:49 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 5.6492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4968 loss: 1.4968 2022/06/28 08:50:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:50:27 - mmengine - INFO - Epoch(train) [41][2720/3757] lr: 1.000e-03 eta: 16:25:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.5533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/06/28 08:50:31 - mmengine - INFO - Epoch(train) [41][2740/3757] lr: 1.000e-03 eta: 16:25:40 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.3753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8896 loss: 1.8896 2022/06/28 08:50:35 - mmengine - INFO - Epoch(train) [41][2760/3757] lr: 1.000e-03 eta: 16:25:33 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.7768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5069 loss: 1.5069 2022/06/28 08:50:40 - mmengine - INFO - Epoch(train) [41][2780/3757] lr: 1.000e-03 eta: 16:25:27 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 5.3465 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4675 loss: 1.4675 2022/06/28 08:50:45 - mmengine - INFO - Epoch(train) [41][2800/3757] lr: 1.000e-03 eta: 16:25:21 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.2251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6577 loss: 1.6577 2022/06/28 08:50:51 - mmengine - INFO - Epoch(train) [41][2820/3757] lr: 1.000e-03 eta: 16:25:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6840 loss: 1.6840 2022/06/28 08:50:56 - mmengine - INFO - Epoch(train) [41][2840/3757] lr: 1.000e-03 eta: 16:25:12 time: 0.526 data_time: 0.007 memory: 5150 grad_norm: 4.4127 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7481 loss: 1.7481 2022/06/28 08:51:01 - mmengine - INFO - Epoch(train) [41][2860/3757] lr: 1.000e-03 eta: 16:25:06 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.2055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1382 loss: 1.1382 2022/06/28 08:51:07 - mmengine - INFO - Epoch(train) [41][2880/3757] lr: 1.000e-03 eta: 16:25:01 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.0321 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.7862 loss: 1.7862 2022/06/28 08:51:13 - mmengine - INFO - Epoch(train) [41][2900/3757] lr: 1.000e-03 eta: 16:24:56 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1709 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7427 loss: 1.7427 2022/06/28 08:51:17 - mmengine - INFO - Epoch(train) [41][2920/3757] lr: 1.000e-03 eta: 16:24:50 time: 0.243 data_time: 0.006 memory: 5150 grad_norm: 5.2003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5843 loss: 1.5843 2022/06/28 08:51:23 - mmengine - INFO - Epoch(train) [41][2940/3757] lr: 1.000e-03 eta: 16:24:46 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.0698 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3499 loss: 1.3499 2022/06/28 08:51:28 - mmengine - INFO - Epoch(train) [41][2960/3757] lr: 1.000e-03 eta: 16:24:40 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 4.8567 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9718 loss: 1.9718 2022/06/28 08:51:34 - mmengine - INFO - Epoch(train) [41][2980/3757] lr: 1.000e-03 eta: 16:24:35 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.4768 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7733 loss: 1.7733 2022/06/28 08:51:40 - mmengine - INFO - Epoch(train) [41][3000/3757] lr: 1.000e-03 eta: 16:24:30 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.7758 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0198 loss: 2.0198 2022/06/28 08:51:45 - mmengine - INFO - Epoch(train) [41][3020/3757] lr: 1.000e-03 eta: 16:24:24 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1670 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.6682 loss: 1.6682 2022/06/28 08:51:50 - mmengine - INFO - Epoch(train) [41][3040/3757] lr: 1.000e-03 eta: 16:24:19 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 4.4870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/06/28 08:51:56 - mmengine - INFO - Epoch(train) [41][3060/3757] lr: 1.000e-03 eta: 16:24:14 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.3180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2814 loss: 1.2814 2022/06/28 08:52:01 - mmengine - INFO - Epoch(train) [41][3080/3757] lr: 1.000e-03 eta: 16:24:09 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1035 loss: 2.1035 2022/06/28 08:52:06 - mmengine - INFO - Epoch(train) [41][3100/3757] lr: 1.000e-03 eta: 16:24:03 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 4.5512 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5142 loss: 1.5142 2022/06/28 08:52:11 - mmengine - INFO - Epoch(train) [41][3120/3757] lr: 1.000e-03 eta: 16:23:58 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.3665 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/06/28 08:52:17 - mmengine - INFO - Epoch(train) [41][3140/3757] lr: 1.000e-03 eta: 16:23:53 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.4590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4563 loss: 1.4563 2022/06/28 08:52:22 - mmengine - INFO - Epoch(train) [41][3160/3757] lr: 1.000e-03 eta: 16:23:48 time: 0.578 data_time: 0.007 memory: 5150 grad_norm: 5.3106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4196 loss: 1.4196 2022/06/28 08:52:28 - mmengine - INFO - Epoch(train) [41][3180/3757] lr: 1.000e-03 eta: 16:23:43 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7936 loss: 1.7936 2022/06/28 08:52:33 - mmengine - INFO - Epoch(train) [41][3200/3757] lr: 1.000e-03 eta: 16:23:37 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.4037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6568 loss: 1.6568 2022/06/28 08:52:38 - mmengine - INFO - Epoch(train) [41][3220/3757] lr: 1.000e-03 eta: 16:23:32 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5254 loss: 1.5254 2022/06/28 08:52:44 - mmengine - INFO - Epoch(train) [41][3240/3757] lr: 1.000e-03 eta: 16:23:27 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.2696 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5408 loss: 1.5408 2022/06/28 08:52:49 - mmengine - INFO - Epoch(train) [41][3260/3757] lr: 1.000e-03 eta: 16:23:21 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 4.4740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7331 loss: 1.7331 2022/06/28 08:52:55 - mmengine - INFO - Epoch(train) [41][3280/3757] lr: 1.000e-03 eta: 16:23:17 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 5.9641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6963 loss: 1.6963 2022/06/28 08:53:00 - mmengine - INFO - Epoch(train) [41][3300/3757] lr: 1.000e-03 eta: 16:23:11 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6097 loss: 1.6097 2022/06/28 08:53:06 - mmengine - INFO - Epoch(train) [41][3320/3757] lr: 1.000e-03 eta: 16:23:06 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 5.6573 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5549 loss: 1.5549 2022/06/28 08:53:11 - mmengine - INFO - Epoch(train) [41][3340/3757] lr: 1.000e-03 eta: 16:23:01 time: 0.688 data_time: 0.006 memory: 5150 grad_norm: 5.0769 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/06/28 08:53:16 - mmengine - INFO - Epoch(train) [41][3360/3757] lr: 1.000e-03 eta: 16:22:55 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.2984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8395 loss: 1.8395 2022/06/28 08:53:22 - mmengine - INFO - Epoch(train) [41][3380/3757] lr: 1.000e-03 eta: 16:22:51 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.8193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6546 loss: 1.6546 2022/06/28 08:53:28 - mmengine - INFO - Epoch(train) [41][3400/3757] lr: 1.000e-03 eta: 16:22:46 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 6.0340 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7915 loss: 1.7915 2022/06/28 08:53:32 - mmengine - INFO - Epoch(train) [41][3420/3757] lr: 1.000e-03 eta: 16:22:39 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.7182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2024 loss: 1.2024 2022/06/28 08:53:37 - mmengine - INFO - Epoch(train) [41][3440/3757] lr: 1.000e-03 eta: 16:22:34 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.5991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7681 loss: 1.7681 2022/06/28 08:53:43 - mmengine - INFO - Epoch(train) [41][3460/3757] lr: 1.000e-03 eta: 16:22:29 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 5.2675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6241 loss: 1.6241 2022/06/28 08:53:48 - mmengine - INFO - Epoch(train) [41][3480/3757] lr: 1.000e-03 eta: 16:22:24 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 5.3377 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5489 loss: 1.5489 2022/06/28 08:53:53 - mmengine - INFO - Epoch(train) [41][3500/3757] lr: 1.000e-03 eta: 16:22:18 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 5.6271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/06/28 08:53:59 - mmengine - INFO - Epoch(train) [41][3520/3757] lr: 1.000e-03 eta: 16:22:13 time: 0.231 data_time: 0.010 memory: 5150 grad_norm: 4.7646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7739 loss: 1.7739 2022/06/28 08:54:03 - mmengine - INFO - Epoch(train) [41][3540/3757] lr: 1.000e-03 eta: 16:22:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4092 loss: 1.4092 2022/06/28 08:54:09 - mmengine - INFO - Epoch(train) [41][3560/3757] lr: 1.000e-03 eta: 16:22:02 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.0433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6562 loss: 1.6562 2022/06/28 08:54:15 - mmengine - INFO - Epoch(train) [41][3580/3757] lr: 1.000e-03 eta: 16:21:57 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.1143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5681 loss: 1.5681 2022/06/28 08:54:20 - mmengine - INFO - Epoch(train) [41][3600/3757] lr: 1.000e-03 eta: 16:21:51 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 5.4513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3005 loss: 1.3005 2022/06/28 08:54:25 - mmengine - INFO - Epoch(train) [41][3620/3757] lr: 1.000e-03 eta: 16:21:46 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.6937 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9661 loss: 1.9661 2022/06/28 08:54:31 - mmengine - INFO - Epoch(train) [41][3640/3757] lr: 1.000e-03 eta: 16:21:41 time: 0.590 data_time: 0.007 memory: 5150 grad_norm: 5.1148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7928 loss: 1.7928 2022/06/28 08:54:36 - mmengine - INFO - Epoch(train) [41][3660/3757] lr: 1.000e-03 eta: 16:21:35 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 6.1393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4850 loss: 1.4850 2022/06/28 08:54:41 - mmengine - INFO - Epoch(train) [41][3680/3757] lr: 1.000e-03 eta: 16:21:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5799 loss: 1.5799 2022/06/28 08:54:47 - mmengine - INFO - Epoch(train) [41][3700/3757] lr: 1.000e-03 eta: 16:21:25 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 4.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/06/28 08:54:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:54:52 - mmengine - INFO - Epoch(train) [41][3720/3757] lr: 1.000e-03 eta: 16:21:19 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3494 loss: 1.3494 2022/06/28 08:54:57 - mmengine - INFO - Epoch(train) [41][3740/3757] lr: 1.000e-03 eta: 16:21:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.0960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9793 loss: 1.9793 2022/06/28 08:55:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 08:55:34 - mmengine - INFO - Epoch(val) [41][20/310] eta: 0:05:50 time: 1.119 data_time: 0.451 memory: 9746 2022/06/28 08:55:56 - mmengine - INFO - Epoch(val) [41][40/310] eta: 0:04:45 time: 0.970 data_time: 0.332 memory: 9746 2022/06/28 08:56:20 - mmengine - INFO - Epoch(val) [41][60/310] eta: 0:04:24 time: 1.089 data_time: 0.456 memory: 9746 2022/06/28 08:56:43 - mmengine - INFO - Epoch(val) [41][80/310] eta: 0:04:36 time: 1.070 data_time: 0.403 memory: 9746 2022/06/28 08:57:06 - mmengine - INFO - Epoch(val) [41][100/310] eta: 0:04:17 time: 2.621 data_time: 1.944 memory: 9746 2022/06/28 08:57:27 - mmengine - INFO - Epoch(val) [41][120/310] eta: 0:03:22 time: 1.179 data_time: 0.528 memory: 9746 2022/06/28 08:57:52 - mmengine - INFO - Epoch(val) [41][140/310] eta: 0:03:09 time: 1.079 data_time: 0.442 memory: 9746 2022/06/28 08:58:17 - mmengine - INFO - Epoch(val) [41][160/310] eta: 0:03:17 time: 3.693 data_time: 3.007 memory: 9746 2022/06/28 08:58:40 - mmengine - INFO - Epoch(val) [41][180/310] eta: 0:02:38 time: 1.045 data_time: 0.390 memory: 9746 2022/06/28 08:59:02 - mmengine - INFO - Epoch(val) [41][200/310] eta: 0:02:02 time: 1.068 data_time: 0.438 memory: 9746 2022/06/28 08:59:23 - mmengine - INFO - Epoch(val) [41][220/310] eta: 0:01:37 time: 1.163 data_time: 0.525 memory: 9746 2022/06/28 08:59:44 - mmengine - INFO - Epoch(val) [41][240/310] eta: 0:01:12 time: 1.029 data_time: 0.371 memory: 9746 2022/06/28 09:00:08 - mmengine - INFO - Epoch(val) [41][260/310] eta: 0:01:00 time: 1.054 data_time: 0.397 memory: 9746 2022/06/28 09:00:31 - mmengine - INFO - Epoch(val) [41][280/310] eta: 0:00:34 time: 1.773 data_time: 1.125 memory: 9746 2022/06/28 09:00:50 - mmengine - INFO - Epoch(val) [41][300/310] eta: 0:00:08 time: 0.643 data_time: 0.074 memory: 9746 2022/06/28 09:01:03 - mmengine - INFO - Epoch(val) [41][310/310] acc/top1: 0.6800 acc/top5: 0.8830 acc/mean1: 0.6799 2022/06/28 09:01:12 - mmengine - INFO - Epoch(train) [42][20/3757] lr: 1.000e-03 eta: 16:21:06 time: 0.194 data_time: 0.010 memory: 9746 grad_norm: 5.8482 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5761 loss: 1.5761 2022/06/28 09:01:17 - mmengine - INFO - Epoch(train) [42][40/3757] lr: 1.000e-03 eta: 16:21:01 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4820 loss: 1.4820 2022/06/28 09:01:22 - mmengine - INFO - Epoch(train) [42][60/3757] lr: 1.000e-03 eta: 16:20:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.2720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4401 loss: 1.4401 2022/06/28 09:01:27 - mmengine - INFO - Epoch(train) [42][80/3757] lr: 1.000e-03 eta: 16:20:50 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 4.6392 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5432 loss: 1.5432 2022/06/28 09:01:33 - mmengine - INFO - Epoch(train) [42][100/3757] lr: 1.000e-03 eta: 16:20:45 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1962 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9111 loss: 1.9111 2022/06/28 09:01:38 - mmengine - INFO - Epoch(train) [42][120/3757] lr: 1.000e-03 eta: 16:20:39 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 5.2830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8807 loss: 1.8807 2022/06/28 09:01:43 - mmengine - INFO - Epoch(train) [42][140/3757] lr: 1.000e-03 eta: 16:20:34 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 4.9339 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6563 loss: 1.6563 2022/06/28 09:01:49 - mmengine - INFO - Epoch(train) [42][160/3757] lr: 1.000e-03 eta: 16:20:28 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.1034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5943 loss: 1.5943 2022/06/28 09:01:54 - mmengine - INFO - Epoch(train) [42][180/3757] lr: 1.000e-03 eta: 16:20:23 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.4057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6221 loss: 1.6221 2022/06/28 09:01:59 - mmengine - INFO - Epoch(train) [42][200/3757] lr: 1.000e-03 eta: 16:20:18 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.7587 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9695 loss: 1.9695 2022/06/28 09:02:05 - mmengine - INFO - Epoch(train) [42][220/3757] lr: 1.000e-03 eta: 16:20:13 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.0920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5974 loss: 1.5974 2022/06/28 09:02:09 - mmengine - INFO - Epoch(train) [42][240/3757] lr: 1.000e-03 eta: 16:20:06 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 5.2881 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5932 loss: 1.5932 2022/06/28 09:02:15 - mmengine - INFO - Epoch(train) [42][260/3757] lr: 1.000e-03 eta: 16:20:02 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.9154 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1200 loss: 1.1200 2022/06/28 09:02:21 - mmengine - INFO - Epoch(train) [42][280/3757] lr: 1.000e-03 eta: 16:19:57 time: 0.321 data_time: 0.008 memory: 5150 grad_norm: 4.6581 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9891 loss: 1.9891 2022/06/28 09:02:25 - mmengine - INFO - Epoch(train) [42][300/3757] lr: 1.000e-03 eta: 16:19:51 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.6594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6841 loss: 1.6841 2022/06/28 09:02:31 - mmengine - INFO - Epoch(train) [42][320/3757] lr: 1.000e-03 eta: 16:19:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 4.9839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5991 loss: 1.5991 2022/06/28 09:02:37 - mmengine - INFO - Epoch(train) [42][340/3757] lr: 1.000e-03 eta: 16:19:41 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.3891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9374 loss: 1.9374 2022/06/28 09:02:41 - mmengine - INFO - Epoch(train) [42][360/3757] lr: 1.000e-03 eta: 16:19:35 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.7015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8496 loss: 1.8496 2022/06/28 09:02:47 - mmengine - INFO - Epoch(train) [42][380/3757] lr: 1.000e-03 eta: 16:19:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6645 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/06/28 09:02:52 - mmengine - INFO - Epoch(train) [42][400/3757] lr: 1.000e-03 eta: 16:19:24 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.5497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4170 loss: 1.4170 2022/06/28 09:02:58 - mmengine - INFO - Epoch(train) [42][420/3757] lr: 1.000e-03 eta: 16:19:19 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.2905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/06/28 09:03:02 - mmengine - INFO - Epoch(train) [42][440/3757] lr: 1.000e-03 eta: 16:19:12 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.0593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1435 loss: 1.1435 2022/06/28 09:03:08 - mmengine - INFO - Epoch(train) [42][460/3757] lr: 1.000e-03 eta: 16:19:08 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.8798 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9815 loss: 1.9815 2022/06/28 09:03:13 - mmengine - INFO - Epoch(train) [42][480/3757] lr: 1.000e-03 eta: 16:19:02 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3642 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6105 loss: 1.6105 2022/06/28 09:03:18 - mmengine - INFO - Epoch(train) [42][500/3757] lr: 1.000e-03 eta: 16:18:57 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.6283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9967 loss: 1.9967 2022/06/28 09:03:24 - mmengine - INFO - Epoch(train) [42][520/3757] lr: 1.000e-03 eta: 16:18:52 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9961 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5494 loss: 1.5494 2022/06/28 09:03:29 - mmengine - INFO - Epoch(train) [42][540/3757] lr: 1.000e-03 eta: 16:18:46 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7946 loss: 1.7946 2022/06/28 09:03:34 - mmengine - INFO - Epoch(train) [42][560/3757] lr: 1.000e-03 eta: 16:18:41 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.4636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7124 loss: 1.7124 2022/06/28 09:03:39 - mmengine - INFO - Epoch(train) [42][580/3757] lr: 1.000e-03 eta: 16:18:36 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.5300 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6733 loss: 1.6733 2022/06/28 09:03:44 - mmengine - INFO - Epoch(train) [42][600/3757] lr: 1.000e-03 eta: 16:18:29 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.4695 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/06/28 09:03:50 - mmengine - INFO - Epoch(train) [42][620/3757] lr: 1.000e-03 eta: 16:18:24 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.5946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4623 loss: 1.4623 2022/06/28 09:03:55 - mmengine - INFO - Epoch(train) [42][640/3757] lr: 1.000e-03 eta: 16:18:20 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 4.5024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6296 loss: 1.6296 2022/06/28 09:04:00 - mmengine - INFO - Epoch(train) [42][660/3757] lr: 1.000e-03 eta: 16:18:13 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 6.6116 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4488 loss: 1.4488 2022/06/28 09:04:06 - mmengine - INFO - Epoch(train) [42][680/3757] lr: 1.000e-03 eta: 16:18:08 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.0140 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.8647 loss: 1.8647 2022/06/28 09:04:11 - mmengine - INFO - Epoch(train) [42][700/3757] lr: 1.000e-03 eta: 16:18:03 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7322 loss: 1.7322 2022/06/28 09:04:16 - mmengine - INFO - Epoch(train) [42][720/3757] lr: 1.000e-03 eta: 16:17:57 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.7963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6025 loss: 1.6025 2022/06/28 09:04:21 - mmengine - INFO - Epoch(train) [42][740/3757] lr: 1.000e-03 eta: 16:17:52 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 4.8103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5666 loss: 1.5666 2022/06/28 09:04:27 - mmengine - INFO - Epoch(train) [42][760/3757] lr: 1.000e-03 eta: 16:17:47 time: 0.210 data_time: 0.018 memory: 5150 grad_norm: 5.9386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4939 loss: 1.4939 2022/06/28 09:04:31 - mmengine - INFO - Epoch(train) [42][780/3757] lr: 1.000e-03 eta: 16:17:41 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 6.0436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3816 loss: 1.3816 2022/06/28 09:04:37 - mmengine - INFO - Epoch(train) [42][800/3757] lr: 1.000e-03 eta: 16:17:35 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5699 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8224 loss: 1.8224 2022/06/28 09:04:42 - mmengine - INFO - Epoch(train) [42][820/3757] lr: 1.000e-03 eta: 16:17:30 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.8954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5427 loss: 1.5427 2022/06/28 09:04:47 - mmengine - INFO - Epoch(train) [42][840/3757] lr: 1.000e-03 eta: 16:17:24 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 4.7521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1540 loss: 1.1540 2022/06/28 09:04:52 - mmengine - INFO - Epoch(train) [42][860/3757] lr: 1.000e-03 eta: 16:17:19 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1939 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1922 loss: 1.1922 2022/06/28 09:04:58 - mmengine - INFO - Epoch(train) [42][880/3757] lr: 1.000e-03 eta: 16:17:14 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 5.5089 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5111 loss: 1.5111 2022/06/28 09:05:03 - mmengine - INFO - Epoch(train) [42][900/3757] lr: 1.000e-03 eta: 16:17:08 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.1412 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8812 loss: 1.8812 2022/06/28 09:05:09 - mmengine - INFO - Epoch(train) [42][920/3757] lr: 1.000e-03 eta: 16:17:03 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.1243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/06/28 09:05:14 - mmengine - INFO - Epoch(train) [42][940/3757] lr: 1.000e-03 eta: 16:16:58 time: 0.215 data_time: 0.020 memory: 5150 grad_norm: 5.5226 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4921 loss: 1.4921 2022/06/28 09:05:19 - mmengine - INFO - Epoch(train) [42][960/3757] lr: 1.000e-03 eta: 16:16:52 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.0251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/06/28 09:05:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:05:25 - mmengine - INFO - Epoch(train) [42][980/3757] lr: 1.000e-03 eta: 16:16:48 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 6.4402 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0445 loss: 2.0445 2022/06/28 09:05:31 - mmengine - INFO - Epoch(train) [42][1000/3757] lr: 1.000e-03 eta: 16:16:43 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 6.0265 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3215 loss: 1.3215 2022/06/28 09:05:36 - mmengine - INFO - Epoch(train) [42][1020/3757] lr: 1.000e-03 eta: 16:16:38 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.8509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/06/28 09:05:41 - mmengine - INFO - Epoch(train) [42][1040/3757] lr: 1.000e-03 eta: 16:16:32 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.4270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6862 loss: 1.6862 2022/06/28 09:05:47 - mmengine - INFO - Epoch(train) [42][1060/3757] lr: 1.000e-03 eta: 16:16:27 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 5.3091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7362 loss: 1.7362 2022/06/28 09:05:52 - mmengine - INFO - Epoch(train) [42][1080/3757] lr: 1.000e-03 eta: 16:16:22 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 6.3749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8033 loss: 1.8033 2022/06/28 09:05:57 - mmengine - INFO - Epoch(train) [42][1100/3757] lr: 1.000e-03 eta: 16:16:17 time: 0.188 data_time: 0.014 memory: 5150 grad_norm: 6.0729 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4262 loss: 1.4262 2022/06/28 09:06:02 - mmengine - INFO - Epoch(train) [42][1120/3757] lr: 1.000e-03 eta: 16:16:11 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.7072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4015 loss: 1.4015 2022/06/28 09:06:07 - mmengine - INFO - Epoch(train) [42][1140/3757] lr: 1.000e-03 eta: 16:16:05 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 6.3418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4163 loss: 1.4163 2022/06/28 09:06:13 - mmengine - INFO - Epoch(train) [42][1160/3757] lr: 1.000e-03 eta: 16:16:00 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.8826 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7089 loss: 1.7089 2022/06/28 09:06:19 - mmengine - INFO - Epoch(train) [42][1180/3757] lr: 1.000e-03 eta: 16:15:55 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.6700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1301 loss: 1.1301 2022/06/28 09:06:23 - mmengine - INFO - Epoch(train) [42][1200/3757] lr: 1.000e-03 eta: 16:15:49 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.4612 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6315 loss: 1.6315 2022/06/28 09:06:28 - mmengine - INFO - Epoch(train) [42][1220/3757] lr: 1.000e-03 eta: 16:15:44 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.2416 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5963 loss: 1.5963 2022/06/28 09:06:34 - mmengine - INFO - Epoch(train) [42][1240/3757] lr: 1.000e-03 eta: 16:15:38 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 5.1527 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/06/28 09:06:39 - mmengine - INFO - Epoch(train) [42][1260/3757] lr: 1.000e-03 eta: 16:15:33 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.9811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6524 loss: 1.6524 2022/06/28 09:06:45 - mmengine - INFO - Epoch(train) [42][1280/3757] lr: 1.000e-03 eta: 16:15:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6180 loss: 1.6180 2022/06/28 09:06:50 - mmengine - INFO - Epoch(train) [42][1300/3757] lr: 1.000e-03 eta: 16:15:23 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 5.4422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5710 loss: 1.5710 2022/06/28 09:06:55 - mmengine - INFO - Epoch(train) [42][1320/3757] lr: 1.000e-03 eta: 16:15:17 time: 0.270 data_time: 0.010 memory: 5150 grad_norm: 5.8101 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4646 loss: 1.4646 2022/06/28 09:07:01 - mmengine - INFO - Epoch(train) [42][1340/3757] lr: 1.000e-03 eta: 16:15:12 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.6840 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5301 loss: 1.5301 2022/06/28 09:07:06 - mmengine - INFO - Epoch(train) [42][1360/3757] lr: 1.000e-03 eta: 16:15:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6972 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5064 loss: 1.5064 2022/06/28 09:07:11 - mmengine - INFO - Epoch(train) [42][1380/3757] lr: 1.000e-03 eta: 16:15:01 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.6236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5488 loss: 1.5488 2022/06/28 09:07:17 - mmengine - INFO - Epoch(train) [42][1400/3757] lr: 1.000e-03 eta: 16:14:56 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 5.8427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3992 loss: 1.3992 2022/06/28 09:07:22 - mmengine - INFO - Epoch(train) [42][1420/3757] lr: 1.000e-03 eta: 16:14:51 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9704 loss: 1.9704 2022/06/28 09:07:27 - mmengine - INFO - Epoch(train) [42][1440/3757] lr: 1.000e-03 eta: 16:14:45 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.1140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9013 loss: 1.9013 2022/06/28 09:07:32 - mmengine - INFO - Epoch(train) [42][1460/3757] lr: 1.000e-03 eta: 16:14:39 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 5.7070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5248 loss: 1.5248 2022/06/28 09:07:37 - mmengine - INFO - Epoch(train) [42][1480/3757] lr: 1.000e-03 eta: 16:14:34 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 5.8954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6883 loss: 1.6883 2022/06/28 09:07:42 - mmengine - INFO - Epoch(train) [42][1500/3757] lr: 1.000e-03 eta: 16:14:28 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.0527 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7875 loss: 1.7875 2022/06/28 09:07:48 - mmengine - INFO - Epoch(train) [42][1520/3757] lr: 1.000e-03 eta: 16:14:23 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.7333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4566 loss: 1.4566 2022/06/28 09:07:53 - mmengine - INFO - Epoch(train) [42][1540/3757] lr: 1.000e-03 eta: 16:14:18 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/06/28 09:07:58 - mmengine - INFO - Epoch(train) [42][1560/3757] lr: 1.000e-03 eta: 16:14:12 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 5.4287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5577 loss: 1.5577 2022/06/28 09:08:04 - mmengine - INFO - Epoch(train) [42][1580/3757] lr: 1.000e-03 eta: 16:14:07 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.2965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6736 loss: 1.6736 2022/06/28 09:08:10 - mmengine - INFO - Epoch(train) [42][1600/3757] lr: 1.000e-03 eta: 16:14:03 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.0399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1986 loss: 1.1986 2022/06/28 09:08:14 - mmengine - INFO - Epoch(train) [42][1620/3757] lr: 1.000e-03 eta: 16:13:56 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 6.4083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6224 loss: 1.6224 2022/06/28 09:08:19 - mmengine - INFO - Epoch(train) [42][1640/3757] lr: 1.000e-03 eta: 16:13:51 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6946 loss: 1.6946 2022/06/28 09:08:25 - mmengine - INFO - Epoch(train) [42][1660/3757] lr: 1.000e-03 eta: 16:13:46 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.5387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7479 loss: 1.7479 2022/06/28 09:08:30 - mmengine - INFO - Epoch(train) [42][1680/3757] lr: 1.000e-03 eta: 16:13:41 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 4.7981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8201 loss: 1.8201 2022/06/28 09:08:35 - mmengine - INFO - Epoch(train) [42][1700/3757] lr: 1.000e-03 eta: 16:13:35 time: 0.311 data_time: 0.008 memory: 5150 grad_norm: 5.9052 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/06/28 09:08:41 - mmengine - INFO - Epoch(train) [42][1720/3757] lr: 1.000e-03 eta: 16:13:30 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.6306 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2912 loss: 1.2912 2022/06/28 09:08:46 - mmengine - INFO - Epoch(train) [42][1740/3757] lr: 1.000e-03 eta: 16:13:25 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.5143 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8092 loss: 1.8092 2022/06/28 09:08:51 - mmengine - INFO - Epoch(train) [42][1760/3757] lr: 1.000e-03 eta: 16:13:18 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.3340 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8085 loss: 1.8085 2022/06/28 09:08:56 - mmengine - INFO - Epoch(train) [42][1780/3757] lr: 1.000e-03 eta: 16:13:13 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.3425 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5285 loss: 1.5285 2022/06/28 09:09:01 - mmengine - INFO - Epoch(train) [42][1800/3757] lr: 1.000e-03 eta: 16:13:08 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.6688 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/06/28 09:09:07 - mmengine - INFO - Epoch(train) [42][1820/3757] lr: 1.000e-03 eta: 16:13:03 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.6660 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3485 loss: 1.3485 2022/06/28 09:09:12 - mmengine - INFO - Epoch(train) [42][1840/3757] lr: 1.000e-03 eta: 16:12:57 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.1128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4413 loss: 1.4413 2022/06/28 09:09:17 - mmengine - INFO - Epoch(train) [42][1860/3757] lr: 1.000e-03 eta: 16:12:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.2541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9054 loss: 1.9054 2022/06/28 09:09:23 - mmengine - INFO - Epoch(train) [42][1880/3757] lr: 1.000e-03 eta: 16:12:47 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.7697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5140 loss: 1.5140 2022/06/28 09:09:29 - mmengine - INFO - Epoch(train) [42][1900/3757] lr: 1.000e-03 eta: 16:12:42 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 5.9551 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4365 loss: 1.4365 2022/06/28 09:09:33 - mmengine - INFO - Epoch(train) [42][1920/3757] lr: 1.000e-03 eta: 16:12:36 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 4.9776 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6922 loss: 1.6922 2022/06/28 09:09:39 - mmengine - INFO - Epoch(train) [42][1940/3757] lr: 1.000e-03 eta: 16:12:31 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.0973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3091 loss: 1.3091 2022/06/28 09:09:44 - mmengine - INFO - Epoch(train) [42][1960/3757] lr: 1.000e-03 eta: 16:12:26 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 6.0704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6338 loss: 1.6338 2022/06/28 09:09:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:09:49 - mmengine - INFO - Epoch(train) [42][1980/3757] lr: 1.000e-03 eta: 16:12:20 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 5.6942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/06/28 09:09:55 - mmengine - INFO - Epoch(train) [42][2000/3757] lr: 1.000e-03 eta: 16:12:15 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 5.6508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/06/28 09:10:01 - mmengine - INFO - Epoch(train) [42][2020/3757] lr: 1.000e-03 eta: 16:12:10 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.0329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4490 loss: 1.4490 2022/06/28 09:10:06 - mmengine - INFO - Epoch(train) [42][2040/3757] lr: 1.000e-03 eta: 16:12:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.4739 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8576 loss: 1.8576 2022/06/28 09:10:11 - mmengine - INFO - Epoch(train) [42][2060/3757] lr: 1.000e-03 eta: 16:12:00 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.3236 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4618 loss: 1.4618 2022/06/28 09:10:17 - mmengine - INFO - Epoch(train) [42][2080/3757] lr: 1.000e-03 eta: 16:11:55 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.2198 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.8877 loss: 1.8877 2022/06/28 09:10:22 - mmengine - INFO - Epoch(train) [42][2100/3757] lr: 1.000e-03 eta: 16:11:48 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5532 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7499 loss: 1.7499 2022/06/28 09:10:28 - mmengine - INFO - Epoch(train) [42][2120/3757] lr: 1.000e-03 eta: 16:11:44 time: 0.195 data_time: 0.006 memory: 5150 grad_norm: 7.2938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6966 loss: 1.6966 2022/06/28 09:10:33 - mmengine - INFO - Epoch(train) [42][2140/3757] lr: 1.000e-03 eta: 16:11:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4864 loss: 1.4864 2022/06/28 09:10:38 - mmengine - INFO - Epoch(train) [42][2160/3757] lr: 1.000e-03 eta: 16:11:34 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.9421 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3993 loss: 1.3993 2022/06/28 09:10:44 - mmengine - INFO - Epoch(train) [42][2180/3757] lr: 1.000e-03 eta: 16:11:28 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.9854 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4631 loss: 1.4631 2022/06/28 09:10:49 - mmengine - INFO - Epoch(train) [42][2200/3757] lr: 1.000e-03 eta: 16:11:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0788 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5577 loss: 1.5577 2022/06/28 09:10:54 - mmengine - INFO - Epoch(train) [42][2220/3757] lr: 1.000e-03 eta: 16:11:18 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.0550 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7194 loss: 1.7194 2022/06/28 09:10:59 - mmengine - INFO - Epoch(train) [42][2240/3757] lr: 1.000e-03 eta: 16:11:12 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 6.8247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6568 loss: 1.6568 2022/06/28 09:11:05 - mmengine - INFO - Epoch(train) [42][2260/3757] lr: 1.000e-03 eta: 16:11:07 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.1414 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6396 loss: 1.6396 2022/06/28 09:11:10 - mmengine - INFO - Epoch(train) [42][2280/3757] lr: 1.000e-03 eta: 16:11:01 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.7456 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4119 loss: 1.4119 2022/06/28 09:11:15 - mmengine - INFO - Epoch(train) [42][2300/3757] lr: 1.000e-03 eta: 16:10:56 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 5.3404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/06/28 09:11:21 - mmengine - INFO - Epoch(train) [42][2320/3757] lr: 1.000e-03 eta: 16:10:51 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.1573 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0677 loss: 2.0677 2022/06/28 09:11:26 - mmengine - INFO - Epoch(train) [42][2340/3757] lr: 1.000e-03 eta: 16:10:45 time: 0.340 data_time: 0.010 memory: 5150 grad_norm: 5.3861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0065 loss: 2.0065 2022/06/28 09:11:31 - mmengine - INFO - Epoch(train) [42][2360/3757] lr: 1.000e-03 eta: 16:10:39 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.0518 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6810 loss: 1.6810 2022/06/28 09:11:36 - mmengine - INFO - Epoch(train) [42][2380/3757] lr: 1.000e-03 eta: 16:10:34 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.4381 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.1431 loss: 2.1431 2022/06/28 09:11:41 - mmengine - INFO - Epoch(train) [42][2400/3757] lr: 1.000e-03 eta: 16:10:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2414 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.6135 loss: 1.6135 2022/06/28 09:11:47 - mmengine - INFO - Epoch(train) [42][2420/3757] lr: 1.000e-03 eta: 16:10:23 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.5295 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6433 loss: 1.6433 2022/06/28 09:11:52 - mmengine - INFO - Epoch(train) [42][2440/3757] lr: 1.000e-03 eta: 16:10:18 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.2282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5852 loss: 1.5852 2022/06/28 09:11:58 - mmengine - INFO - Epoch(train) [42][2460/3757] lr: 1.000e-03 eta: 16:10:14 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 5.8727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5012 loss: 1.5012 2022/06/28 09:12:03 - mmengine - INFO - Epoch(train) [42][2480/3757] lr: 1.000e-03 eta: 16:10:08 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.8618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9048 loss: 1.9048 2022/06/28 09:12:09 - mmengine - INFO - Epoch(train) [42][2500/3757] lr: 1.000e-03 eta: 16:10:03 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.2373 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3866 loss: 1.3866 2022/06/28 09:12:14 - mmengine - INFO - Epoch(train) [42][2520/3757] lr: 1.000e-03 eta: 16:09:58 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.0694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3721 loss: 1.3721 2022/06/28 09:12:19 - mmengine - INFO - Epoch(train) [42][2540/3757] lr: 1.000e-03 eta: 16:09:52 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4849 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7914 loss: 1.7914 2022/06/28 09:12:25 - mmengine - INFO - Epoch(train) [42][2560/3757] lr: 1.000e-03 eta: 16:09:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6915 loss: 1.6915 2022/06/28 09:12:31 - mmengine - INFO - Epoch(train) [42][2580/3757] lr: 1.000e-03 eta: 16:09:43 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.5883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7988 loss: 1.7988 2022/06/28 09:12:35 - mmengine - INFO - Epoch(train) [42][2600/3757] lr: 1.000e-03 eta: 16:09:37 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7007 loss: 1.7007 2022/06/28 09:12:41 - mmengine - INFO - Epoch(train) [42][2620/3757] lr: 1.000e-03 eta: 16:09:32 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 6.1722 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9428 loss: 1.9428 2022/06/28 09:12:47 - mmengine - INFO - Epoch(train) [42][2640/3757] lr: 1.000e-03 eta: 16:09:27 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.2058 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.4946 loss: 1.4946 2022/06/28 09:12:51 - mmengine - INFO - Epoch(train) [42][2660/3757] lr: 1.000e-03 eta: 16:09:21 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 5.9335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/06/28 09:12:57 - mmengine - INFO - Epoch(train) [42][2680/3757] lr: 1.000e-03 eta: 16:09:15 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.1365 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4635 loss: 1.4635 2022/06/28 09:13:02 - mmengine - INFO - Epoch(train) [42][2700/3757] lr: 1.000e-03 eta: 16:09:10 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 5.4931 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8925 loss: 1.8925 2022/06/28 09:13:07 - mmengine - INFO - Epoch(train) [42][2720/3757] lr: 1.000e-03 eta: 16:09:05 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 4.6376 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5944 loss: 1.5944 2022/06/28 09:13:12 - mmengine - INFO - Epoch(train) [42][2740/3757] lr: 1.000e-03 eta: 16:08:59 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.6078 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9564 loss: 1.9564 2022/06/28 09:13:18 - mmengine - INFO - Epoch(train) [42][2760/3757] lr: 1.000e-03 eta: 16:08:54 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.8760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7210 loss: 1.7210 2022/06/28 09:13:23 - mmengine - INFO - Epoch(train) [42][2780/3757] lr: 1.000e-03 eta: 16:08:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8891 loss: 1.8891 2022/06/28 09:13:28 - mmengine - INFO - Epoch(train) [42][2800/3757] lr: 1.000e-03 eta: 16:08:43 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.6498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5996 loss: 1.5996 2022/06/28 09:13:34 - mmengine - INFO - Epoch(train) [42][2820/3757] lr: 1.000e-03 eta: 16:08:38 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.6233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8234 loss: 1.8234 2022/06/28 09:13:39 - mmengine - INFO - Epoch(train) [42][2840/3757] lr: 1.000e-03 eta: 16:08:32 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1841 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6016 loss: 1.6016 2022/06/28 09:13:44 - mmengine - INFO - Epoch(train) [42][2860/3757] lr: 1.000e-03 eta: 16:08:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.1955 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5599 loss: 1.5599 2022/06/28 09:13:50 - mmengine - INFO - Epoch(train) [42][2880/3757] lr: 1.000e-03 eta: 16:08:22 time: 0.226 data_time: 0.013 memory: 5150 grad_norm: 4.7544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3892 loss: 1.3892 2022/06/28 09:13:54 - mmengine - INFO - Epoch(train) [42][2900/3757] lr: 1.000e-03 eta: 16:08:16 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5972 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5349 loss: 1.5349 2022/06/28 09:14:00 - mmengine - INFO - Epoch(train) [42][2920/3757] lr: 1.000e-03 eta: 16:08:11 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.1498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8770 loss: 1.8770 2022/06/28 09:14:07 - mmengine - INFO - Epoch(train) [42][2940/3757] lr: 1.000e-03 eta: 16:08:08 time: 1.672 data_time: 0.007 memory: 5150 grad_norm: 6.3815 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9209 loss: 1.9209 2022/06/28 09:14:11 - mmengine - INFO - Epoch(train) [42][2960/3757] lr: 1.000e-03 eta: 16:08:01 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.9794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/06/28 09:14:12 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:14:16 - mmengine - INFO - Epoch(train) [42][2980/3757] lr: 1.000e-03 eta: 16:07:55 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 5.9917 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5350 loss: 1.5350 2022/06/28 09:14:21 - mmengine - INFO - Epoch(train) [42][3000/3757] lr: 1.000e-03 eta: 16:07:50 time: 1.062 data_time: 0.011 memory: 5150 grad_norm: 5.8923 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4084 loss: 1.4084 2022/06/28 09:14:27 - mmengine - INFO - Epoch(train) [42][3020/3757] lr: 1.000e-03 eta: 16:07:45 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 5.9972 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8730 loss: 1.8730 2022/06/28 09:14:32 - mmengine - INFO - Epoch(train) [42][3040/3757] lr: 1.000e-03 eta: 16:07:39 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 6.0702 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3285 loss: 1.3285 2022/06/28 09:14:37 - mmengine - INFO - Epoch(train) [42][3060/3757] lr: 1.000e-03 eta: 16:07:34 time: 1.142 data_time: 0.007 memory: 5150 grad_norm: 6.5297 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8227 loss: 1.8227 2022/06/28 09:14:42 - mmengine - INFO - Epoch(train) [42][3080/3757] lr: 1.000e-03 eta: 16:07:28 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4786 loss: 1.4786 2022/06/28 09:14:48 - mmengine - INFO - Epoch(train) [42][3100/3757] lr: 1.000e-03 eta: 16:07:23 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 5.6338 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7070 loss: 1.7070 2022/06/28 09:14:53 - mmengine - INFO - Epoch(train) [42][3120/3757] lr: 1.000e-03 eta: 16:07:18 time: 0.584 data_time: 0.011 memory: 5150 grad_norm: 6.4283 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6584 loss: 1.6584 2022/06/28 09:14:58 - mmengine - INFO - Epoch(train) [42][3140/3757] lr: 1.000e-03 eta: 16:07:12 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.2038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8392 loss: 1.8392 2022/06/28 09:15:04 - mmengine - INFO - Epoch(train) [42][3160/3757] lr: 1.000e-03 eta: 16:07:08 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5553 loss: 1.5553 2022/06/28 09:15:09 - mmengine - INFO - Epoch(train) [42][3180/3757] lr: 1.000e-03 eta: 16:07:02 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 5.9265 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2710 loss: 1.2710 2022/06/28 09:15:15 - mmengine - INFO - Epoch(train) [42][3200/3757] lr: 1.000e-03 eta: 16:06:57 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 4.4315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6361 loss: 1.6361 2022/06/28 09:15:20 - mmengine - INFO - Epoch(train) [42][3220/3757] lr: 1.000e-03 eta: 16:06:52 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.8530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7898 loss: 1.7898 2022/06/28 09:15:26 - mmengine - INFO - Epoch(train) [42][3240/3757] lr: 1.000e-03 eta: 16:06:46 time: 0.763 data_time: 0.008 memory: 5150 grad_norm: 6.3432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3628 loss: 1.3628 2022/06/28 09:15:31 - mmengine - INFO - Epoch(train) [42][3260/3757] lr: 1.000e-03 eta: 16:06:41 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 4.8904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6213 loss: 1.6213 2022/06/28 09:15:36 - mmengine - INFO - Epoch(train) [42][3280/3757] lr: 1.000e-03 eta: 16:06:36 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 5.7330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6784 loss: 1.6784 2022/06/28 09:15:42 - mmengine - INFO - Epoch(train) [42][3300/3757] lr: 1.000e-03 eta: 16:06:31 time: 0.801 data_time: 0.011 memory: 5150 grad_norm: 5.7275 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3148 loss: 1.3148 2022/06/28 09:15:47 - mmengine - INFO - Epoch(train) [42][3320/3757] lr: 1.000e-03 eta: 16:06:25 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3790 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1892 loss: 1.1892 2022/06/28 09:15:52 - mmengine - INFO - Epoch(train) [42][3340/3757] lr: 1.000e-03 eta: 16:06:20 time: 0.216 data_time: 0.021 memory: 5150 grad_norm: 5.3757 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5160 loss: 1.5160 2022/06/28 09:15:58 - mmengine - INFO - Epoch(train) [42][3360/3757] lr: 1.000e-03 eta: 16:06:15 time: 0.875 data_time: 0.008 memory: 5150 grad_norm: 5.8925 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3874 loss: 1.3874 2022/06/28 09:16:02 - mmengine - INFO - Epoch(train) [42][3380/3757] lr: 1.000e-03 eta: 16:06:09 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1320 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/06/28 09:16:08 - mmengine - INFO - Epoch(train) [42][3400/3757] lr: 1.000e-03 eta: 16:06:04 time: 0.209 data_time: 0.028 memory: 5150 grad_norm: 6.7961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5668 loss: 1.5668 2022/06/28 09:16:13 - mmengine - INFO - Epoch(train) [42][3420/3757] lr: 1.000e-03 eta: 16:05:58 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2851 loss: 1.2851 2022/06/28 09:16:19 - mmengine - INFO - Epoch(train) [42][3440/3757] lr: 1.000e-03 eta: 16:05:53 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 5.2644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/06/28 09:16:24 - mmengine - INFO - Epoch(train) [42][3460/3757] lr: 1.000e-03 eta: 16:05:47 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.9695 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7507 loss: 1.7507 2022/06/28 09:16:29 - mmengine - INFO - Epoch(train) [42][3480/3757] lr: 1.000e-03 eta: 16:05:42 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.1928 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/06/28 09:16:34 - mmengine - INFO - Epoch(train) [42][3500/3757] lr: 1.000e-03 eta: 16:05:37 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.5850 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6361 loss: 1.6361 2022/06/28 09:16:39 - mmengine - INFO - Epoch(train) [42][3520/3757] lr: 1.000e-03 eta: 16:05:31 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 5.3924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7895 loss: 1.7895 2022/06/28 09:16:45 - mmengine - INFO - Epoch(train) [42][3540/3757] lr: 1.000e-03 eta: 16:05:26 time: 0.256 data_time: 0.010 memory: 5150 grad_norm: 6.0289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3384 loss: 1.3384 2022/06/28 09:16:50 - mmengine - INFO - Epoch(train) [42][3560/3757] lr: 1.000e-03 eta: 16:05:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.9620 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5045 loss: 1.5045 2022/06/28 09:16:55 - mmengine - INFO - Epoch(train) [42][3580/3757] lr: 1.000e-03 eta: 16:05:15 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.1401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5071 loss: 1.5071 2022/06/28 09:17:01 - mmengine - INFO - Epoch(train) [42][3600/3757] lr: 1.000e-03 eta: 16:05:10 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.5179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/06/28 09:17:07 - mmengine - INFO - Epoch(train) [42][3620/3757] lr: 1.000e-03 eta: 16:05:06 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.4327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2513 loss: 1.2513 2022/06/28 09:17:11 - mmengine - INFO - Epoch(train) [42][3640/3757] lr: 1.000e-03 eta: 16:04:59 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 5.3819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4878 loss: 1.4878 2022/06/28 09:17:16 - mmengine - INFO - Epoch(train) [42][3660/3757] lr: 1.000e-03 eta: 16:04:53 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.9752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5636 loss: 1.5636 2022/06/28 09:17:21 - mmengine - INFO - Epoch(train) [42][3680/3757] lr: 1.000e-03 eta: 16:04:48 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5350 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5914 loss: 1.5914 2022/06/28 09:17:26 - mmengine - INFO - Epoch(train) [42][3700/3757] lr: 1.000e-03 eta: 16:04:42 time: 0.355 data_time: 0.007 memory: 5150 grad_norm: 5.1695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5992 loss: 1.5992 2022/06/28 09:17:31 - mmengine - INFO - Epoch(train) [42][3720/3757] lr: 1.000e-03 eta: 16:04:36 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.2223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/06/28 09:17:37 - mmengine - INFO - Epoch(train) [42][3740/3757] lr: 1.000e-03 eta: 16:04:31 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.3960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/06/28 09:17:40 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:18:13 - mmengine - INFO - Epoch(val) [42][20/310] eta: 0:05:54 time: 1.028 data_time: 0.379 memory: 9746 2022/06/28 09:18:35 - mmengine - INFO - Epoch(val) [42][40/310] eta: 0:04:48 time: 1.011 data_time: 0.366 memory: 9746 2022/06/28 09:19:00 - mmengine - INFO - Epoch(val) [42][60/310] eta: 0:04:17 time: 1.110 data_time: 0.468 memory: 9746 2022/06/28 09:19:22 - mmengine - INFO - Epoch(val) [42][80/310] eta: 0:04:25 time: 1.085 data_time: 0.431 memory: 9746 2022/06/28 09:19:46 - mmengine - INFO - Epoch(val) [42][100/310] eta: 0:04:06 time: 1.808 data_time: 1.158 memory: 9746 2022/06/28 09:20:08 - mmengine - INFO - Epoch(val) [42][120/310] eta: 0:03:21 time: 1.116 data_time: 0.479 memory: 9746 2022/06/28 09:20:32 - mmengine - INFO - Epoch(val) [42][140/310] eta: 0:03:24 time: 1.093 data_time: 0.444 memory: 9746 2022/06/28 09:20:56 - mmengine - INFO - Epoch(val) [42][160/310] eta: 0:03:18 time: 3.760 data_time: 3.059 memory: 9746 2022/06/28 09:21:19 - mmengine - INFO - Epoch(val) [42][180/310] eta: 0:02:37 time: 1.039 data_time: 0.395 memory: 9746 2022/06/28 09:21:41 - mmengine - INFO - Epoch(val) [42][200/310] eta: 0:02:05 time: 0.980 data_time: 0.301 memory: 9746 2022/06/28 09:22:03 - mmengine - INFO - Epoch(val) [42][220/310] eta: 0:01:35 time: 1.229 data_time: 0.581 memory: 9746 2022/06/28 09:22:24 - mmengine - INFO - Epoch(val) [42][240/310] eta: 0:01:16 time: 1.101 data_time: 0.444 memory: 9746 2022/06/28 09:22:46 - mmengine - INFO - Epoch(val) [42][260/310] eta: 0:00:55 time: 1.067 data_time: 0.430 memory: 9746 2022/06/28 09:23:11 - mmengine - INFO - Epoch(val) [42][280/310] eta: 0:00:38 time: 1.021 data_time: 0.364 memory: 9746 2022/06/28 09:23:31 - mmengine - INFO - Epoch(val) [42][300/310] eta: 0:00:08 time: 0.634 data_time: 0.068 memory: 9746 2022/06/28 09:23:43 - mmengine - INFO - Epoch(val) [42][310/310] acc/top1: 0.6815 acc/top5: 0.8840 acc/mean1: 0.6814 2022/06/28 09:23:51 - mmengine - INFO - Epoch(train) [43][20/3757] lr: 1.000e-03 eta: 16:04:22 time: 0.199 data_time: 0.008 memory: 9746 grad_norm: 6.0869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6737 loss: 1.6737 2022/06/28 09:23:58 - mmengine - INFO - Epoch(train) [43][40/3757] lr: 1.000e-03 eta: 16:04:19 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.2521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2439 loss: 1.2439 2022/06/28 09:24:02 - mmengine - INFO - Epoch(train) [43][60/3757] lr: 1.000e-03 eta: 16:04:11 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/06/28 09:24:08 - mmengine - INFO - Epoch(train) [43][80/3757] lr: 1.000e-03 eta: 16:04:06 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8834 loss: 1.8834 2022/06/28 09:24:13 - mmengine - INFO - Epoch(train) [43][100/3757] lr: 1.000e-03 eta: 16:04:02 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 5.9182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5168 loss: 1.5168 2022/06/28 09:24:19 - mmengine - INFO - Epoch(train) [43][120/3757] lr: 1.000e-03 eta: 16:03:56 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 6.1895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7604 loss: 1.7604 2022/06/28 09:24:24 - mmengine - INFO - Epoch(train) [43][140/3757] lr: 1.000e-03 eta: 16:03:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.5348 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5675 loss: 1.5675 2022/06/28 09:24:29 - mmengine - INFO - Epoch(train) [43][160/3757] lr: 1.000e-03 eta: 16:03:46 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.5562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2367 loss: 1.2367 2022/06/28 09:24:34 - mmengine - INFO - Epoch(train) [43][180/3757] lr: 1.000e-03 eta: 16:03:40 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7064 loss: 1.7064 2022/06/28 09:24:40 - mmengine - INFO - Epoch(train) [43][200/3757] lr: 1.000e-03 eta: 16:03:35 time: 0.190 data_time: 0.008 memory: 5150 grad_norm: 5.8696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7271 loss: 1.7271 2022/06/28 09:24:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:24:46 - mmengine - INFO - Epoch(train) [43][220/3757] lr: 1.000e-03 eta: 16:03:30 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 5.8647 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6215 loss: 1.6215 2022/06/28 09:24:51 - mmengine - INFO - Epoch(train) [43][240/3757] lr: 1.000e-03 eta: 16:03:25 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2330 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7092 loss: 1.7092 2022/06/28 09:24:56 - mmengine - INFO - Epoch(train) [43][260/3757] lr: 1.000e-03 eta: 16:03:19 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9724 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3390 loss: 1.3390 2022/06/28 09:25:02 - mmengine - INFO - Epoch(train) [43][280/3757] lr: 1.000e-03 eta: 16:03:15 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.6190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2789 loss: 1.2789 2022/06/28 09:25:07 - mmengine - INFO - Epoch(train) [43][300/3757] lr: 1.000e-03 eta: 16:03:09 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.3403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7733 loss: 1.7733 2022/06/28 09:25:12 - mmengine - INFO - Epoch(train) [43][320/3757] lr: 1.000e-03 eta: 16:03:04 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7086 loss: 1.7086 2022/06/28 09:25:18 - mmengine - INFO - Epoch(train) [43][340/3757] lr: 1.000e-03 eta: 16:02:59 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 5.7231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1353 loss: 1.1353 2022/06/28 09:25:23 - mmengine - INFO - Epoch(train) [43][360/3757] lr: 1.000e-03 eta: 16:02:53 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.7238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5583 loss: 1.5583 2022/06/28 09:25:29 - mmengine - INFO - Epoch(train) [43][380/3757] lr: 1.000e-03 eta: 16:02:49 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.4383 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3672 loss: 1.3672 2022/06/28 09:25:34 - mmengine - INFO - Epoch(train) [43][400/3757] lr: 1.000e-03 eta: 16:02:42 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.3626 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0631 loss: 2.0631 2022/06/28 09:25:38 - mmengine - INFO - Epoch(train) [43][420/3757] lr: 1.000e-03 eta: 16:02:36 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.9172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1247 loss: 1.1247 2022/06/28 09:25:43 - mmengine - INFO - Epoch(train) [43][440/3757] lr: 1.000e-03 eta: 16:02:31 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 5.1425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6847 loss: 1.6847 2022/06/28 09:25:49 - mmengine - INFO - Epoch(train) [43][460/3757] lr: 1.000e-03 eta: 16:02:26 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 5.9610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6805 loss: 1.6805 2022/06/28 09:25:54 - mmengine - INFO - Epoch(train) [43][480/3757] lr: 1.000e-03 eta: 16:02:20 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7075 loss: 1.7075 2022/06/28 09:25:59 - mmengine - INFO - Epoch(train) [43][500/3757] lr: 1.000e-03 eta: 16:02:15 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 6.4628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5595 loss: 1.5595 2022/06/28 09:26:05 - mmengine - INFO - Epoch(train) [43][520/3757] lr: 1.000e-03 eta: 16:02:09 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 6.1516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4639 loss: 1.4639 2022/06/28 09:26:10 - mmengine - INFO - Epoch(train) [43][540/3757] lr: 1.000e-03 eta: 16:02:04 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.6371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5044 loss: 1.5044 2022/06/28 09:26:15 - mmengine - INFO - Epoch(train) [43][560/3757] lr: 1.000e-03 eta: 16:01:59 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.2899 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7990 loss: 1.7990 2022/06/28 09:26:21 - mmengine - INFO - Epoch(train) [43][580/3757] lr: 1.000e-03 eta: 16:01:54 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.6770 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4534 loss: 1.4534 2022/06/28 09:26:26 - mmengine - INFO - Epoch(train) [43][600/3757] lr: 1.000e-03 eta: 16:01:48 time: 0.438 data_time: 0.007 memory: 5150 grad_norm: 5.6739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5389 loss: 1.5389 2022/06/28 09:26:32 - mmengine - INFO - Epoch(train) [43][620/3757] lr: 1.000e-03 eta: 16:01:43 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 5.6539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3045 loss: 1.3045 2022/06/28 09:26:37 - mmengine - INFO - Epoch(train) [43][640/3757] lr: 1.000e-03 eta: 16:01:38 time: 0.316 data_time: 0.130 memory: 5150 grad_norm: 5.4420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/06/28 09:26:42 - mmengine - INFO - Epoch(train) [43][660/3757] lr: 1.000e-03 eta: 16:01:33 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.3082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7564 loss: 1.7564 2022/06/28 09:26:49 - mmengine - INFO - Epoch(train) [43][680/3757] lr: 1.000e-03 eta: 16:01:29 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 5.4046 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3368 loss: 1.3368 2022/06/28 09:26:53 - mmengine - INFO - Epoch(train) [43][700/3757] lr: 1.000e-03 eta: 16:01:22 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.8568 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9767 loss: 1.9767 2022/06/28 09:26:58 - mmengine - INFO - Epoch(train) [43][720/3757] lr: 1.000e-03 eta: 16:01:16 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.0025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7931 loss: 1.7931 2022/06/28 09:27:03 - mmengine - INFO - Epoch(train) [43][740/3757] lr: 1.000e-03 eta: 16:01:11 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.6889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1842 loss: 1.1842 2022/06/28 09:27:09 - mmengine - INFO - Epoch(train) [43][760/3757] lr: 1.000e-03 eta: 16:01:06 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 5.3621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/06/28 09:27:15 - mmengine - INFO - Epoch(train) [43][780/3757] lr: 1.000e-03 eta: 16:01:01 time: 0.653 data_time: 0.007 memory: 5150 grad_norm: 5.5489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/06/28 09:27:20 - mmengine - INFO - Epoch(train) [43][800/3757] lr: 1.000e-03 eta: 16:00:56 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.5526 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0952 loss: 2.0952 2022/06/28 09:27:25 - mmengine - INFO - Epoch(train) [43][820/3757] lr: 1.000e-03 eta: 16:00:50 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.0212 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2939 loss: 1.2939 2022/06/28 09:27:30 - mmengine - INFO - Epoch(train) [43][840/3757] lr: 1.000e-03 eta: 16:00:45 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.4065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5236 loss: 1.5236 2022/06/28 09:27:36 - mmengine - INFO - Epoch(train) [43][860/3757] lr: 1.000e-03 eta: 16:00:40 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.2695 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3982 loss: 1.3982 2022/06/28 09:27:41 - mmengine - INFO - Epoch(train) [43][880/3757] lr: 1.000e-03 eta: 16:00:34 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3021 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/06/28 09:27:46 - mmengine - INFO - Epoch(train) [43][900/3757] lr: 1.000e-03 eta: 16:00:29 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 4.9978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7314 loss: 1.7314 2022/06/28 09:27:52 - mmengine - INFO - Epoch(train) [43][920/3757] lr: 1.000e-03 eta: 16:00:25 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 6.3342 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6327 loss: 1.6327 2022/06/28 09:27:57 - mmengine - INFO - Epoch(train) [43][940/3757] lr: 1.000e-03 eta: 16:00:19 time: 0.398 data_time: 0.007 memory: 5150 grad_norm: 5.2573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2226 loss: 1.2226 2022/06/28 09:28:03 - mmengine - INFO - Epoch(train) [43][960/3757] lr: 1.000e-03 eta: 16:00:14 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.8469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1921 loss: 1.1921 2022/06/28 09:28:08 - mmengine - INFO - Epoch(train) [43][980/3757] lr: 1.000e-03 eta: 16:00:09 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.3442 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6674 loss: 1.6674 2022/06/28 09:28:13 - mmengine - INFO - Epoch(train) [43][1000/3757] lr: 1.000e-03 eta: 16:00:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6054 loss: 1.6054 2022/06/28 09:28:19 - mmengine - INFO - Epoch(train) [43][1020/3757] lr: 1.000e-03 eta: 15:59:58 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.7609 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.6549 loss: 1.6549 2022/06/28 09:28:24 - mmengine - INFO - Epoch(train) [43][1040/3757] lr: 1.000e-03 eta: 15:59:53 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 5.5540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4180 loss: 1.4180 2022/06/28 09:28:30 - mmengine - INFO - Epoch(train) [43][1060/3757] lr: 1.000e-03 eta: 15:59:48 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.8101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7941 loss: 1.7941 2022/06/28 09:28:34 - mmengine - INFO - Epoch(train) [43][1080/3757] lr: 1.000e-03 eta: 15:59:41 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.3122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3150 loss: 1.3150 2022/06/28 09:28:39 - mmengine - INFO - Epoch(train) [43][1100/3757] lr: 1.000e-03 eta: 15:59:35 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.7745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6251 loss: 1.6251 2022/06/28 09:28:44 - mmengine - INFO - Epoch(train) [43][1120/3757] lr: 1.000e-03 eta: 15:59:29 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.1671 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5000 loss: 1.5000 2022/06/28 09:28:49 - mmengine - INFO - Epoch(train) [43][1140/3757] lr: 1.000e-03 eta: 15:59:24 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 5.6587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5156 loss: 1.5156 2022/06/28 09:28:55 - mmengine - INFO - Epoch(train) [43][1160/3757] lr: 1.000e-03 eta: 15:59:19 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.2025 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5869 loss: 1.5869 2022/06/28 09:28:59 - mmengine - INFO - Epoch(train) [43][1180/3757] lr: 1.000e-03 eta: 15:59:13 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.9784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6182 loss: 1.6182 2022/06/28 09:29:05 - mmengine - INFO - Epoch(train) [43][1200/3757] lr: 1.000e-03 eta: 15:59:08 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.4218 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6437 loss: 1.6437 2022/06/28 09:29:06 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:29:10 - mmengine - INFO - Epoch(train) [43][1220/3757] lr: 1.000e-03 eta: 15:59:02 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.9604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7399 loss: 1.7399 2022/06/28 09:29:16 - mmengine - INFO - Epoch(train) [43][1240/3757] lr: 1.000e-03 eta: 15:58:57 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.6740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0509 loss: 1.0509 2022/06/28 09:29:21 - mmengine - INFO - Epoch(train) [43][1260/3757] lr: 1.000e-03 eta: 15:58:52 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 6.1430 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8213 loss: 1.8213 2022/06/28 09:29:27 - mmengine - INFO - Epoch(train) [43][1280/3757] lr: 1.000e-03 eta: 15:58:47 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.0748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5694 loss: 1.5694 2022/06/28 09:29:32 - mmengine - INFO - Epoch(train) [43][1300/3757] lr: 1.000e-03 eta: 15:58:41 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.0135 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6694 loss: 1.6694 2022/06/28 09:29:37 - mmengine - INFO - Epoch(train) [43][1320/3757] lr: 1.000e-03 eta: 15:58:37 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.0043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4241 loss: 1.4241 2022/06/28 09:29:43 - mmengine - INFO - Epoch(train) [43][1340/3757] lr: 1.000e-03 eta: 15:58:31 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.0725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7217 loss: 1.7217 2022/06/28 09:29:48 - mmengine - INFO - Epoch(train) [43][1360/3757] lr: 1.000e-03 eta: 15:58:26 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 5.3939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1527 loss: 1.1527 2022/06/28 09:29:53 - mmengine - INFO - Epoch(train) [43][1380/3757] lr: 1.000e-03 eta: 15:58:21 time: 0.581 data_time: 0.011 memory: 5150 grad_norm: 5.9706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/06/28 09:29:58 - mmengine - INFO - Epoch(train) [43][1400/3757] lr: 1.000e-03 eta: 15:58:15 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.9301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6362 loss: 1.6362 2022/06/28 09:30:03 - mmengine - INFO - Epoch(train) [43][1420/3757] lr: 1.000e-03 eta: 15:58:09 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.0714 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2197 loss: 1.2197 2022/06/28 09:30:09 - mmengine - INFO - Epoch(train) [43][1440/3757] lr: 1.000e-03 eta: 15:58:05 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.2176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6595 loss: 1.6595 2022/06/28 09:30:14 - mmengine - INFO - Epoch(train) [43][1460/3757] lr: 1.000e-03 eta: 15:57:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.8885 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7071 loss: 1.7071 2022/06/28 09:30:20 - mmengine - INFO - Epoch(train) [43][1480/3757] lr: 1.000e-03 eta: 15:57:54 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.1095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6721 loss: 1.6721 2022/06/28 09:30:25 - mmengine - INFO - Epoch(train) [43][1500/3757] lr: 1.000e-03 eta: 15:57:49 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.6500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6153 loss: 1.6153 2022/06/28 09:30:31 - mmengine - INFO - Epoch(train) [43][1520/3757] lr: 1.000e-03 eta: 15:57:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4237 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3093 loss: 1.3093 2022/06/28 09:30:36 - mmengine - INFO - Epoch(train) [43][1540/3757] lr: 1.000e-03 eta: 15:57:38 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.8553 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/06/28 09:30:41 - mmengine - INFO - Epoch(train) [43][1560/3757] lr: 1.000e-03 eta: 15:57:32 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.9640 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6271 loss: 1.6271 2022/06/28 09:30:46 - mmengine - INFO - Epoch(train) [43][1580/3757] lr: 1.000e-03 eta: 15:57:27 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.6355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4359 loss: 1.4359 2022/06/28 09:30:51 - mmengine - INFO - Epoch(train) [43][1600/3757] lr: 1.000e-03 eta: 15:57:22 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.2507 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/06/28 09:30:56 - mmengine - INFO - Epoch(train) [43][1620/3757] lr: 1.000e-03 eta: 15:57:16 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 6.3026 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4992 loss: 1.4992 2022/06/28 09:31:02 - mmengine - INFO - Epoch(train) [43][1640/3757] lr: 1.000e-03 eta: 15:57:11 time: 0.631 data_time: 0.008 memory: 5150 grad_norm: 5.8170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6905 loss: 1.6905 2022/06/28 09:31:07 - mmengine - INFO - Epoch(train) [43][1660/3757] lr: 1.000e-03 eta: 15:57:05 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 6.6229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/06/28 09:31:12 - mmengine - INFO - Epoch(train) [43][1680/3757] lr: 1.000e-03 eta: 15:57:00 time: 0.244 data_time: 0.007 memory: 5150 grad_norm: 5.3576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6052 loss: 1.6052 2022/06/28 09:31:18 - mmengine - INFO - Epoch(train) [43][1700/3757] lr: 1.000e-03 eta: 15:56:55 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 5.9051 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6012 loss: 1.6012 2022/06/28 09:31:23 - mmengine - INFO - Epoch(train) [43][1720/3757] lr: 1.000e-03 eta: 15:56:49 time: 0.454 data_time: 0.015 memory: 5150 grad_norm: 6.0084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6111 loss: 1.6111 2022/06/28 09:31:28 - mmengine - INFO - Epoch(train) [43][1740/3757] lr: 1.000e-03 eta: 15:56:44 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 6.5272 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4818 loss: 1.4818 2022/06/28 09:31:34 - mmengine - INFO - Epoch(train) [43][1760/3757] lr: 1.000e-03 eta: 15:56:39 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.6353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8181 loss: 1.8181 2022/06/28 09:31:39 - mmengine - INFO - Epoch(train) [43][1780/3757] lr: 1.000e-03 eta: 15:56:34 time: 0.709 data_time: 0.014 memory: 5150 grad_norm: 6.0953 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9994 loss: 1.9994 2022/06/28 09:31:44 - mmengine - INFO - Epoch(train) [43][1800/3757] lr: 1.000e-03 eta: 15:56:28 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 5.9896 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4510 loss: 1.4510 2022/06/28 09:31:50 - mmengine - INFO - Epoch(train) [43][1820/3757] lr: 1.000e-03 eta: 15:56:23 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 4.9961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9606 loss: 1.9606 2022/06/28 09:31:55 - mmengine - INFO - Epoch(train) [43][1840/3757] lr: 1.000e-03 eta: 15:56:17 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.0799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7834 loss: 1.7834 2022/06/28 09:32:00 - mmengine - INFO - Epoch(train) [43][1860/3757] lr: 1.000e-03 eta: 15:56:12 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.7915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5588 loss: 1.5588 2022/06/28 09:32:06 - mmengine - INFO - Epoch(train) [43][1880/3757] lr: 1.000e-03 eta: 15:56:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9615 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5467 loss: 1.5467 2022/06/28 09:32:11 - mmengine - INFO - Epoch(train) [43][1900/3757] lr: 1.000e-03 eta: 15:56:02 time: 0.197 data_time: 0.035 memory: 5150 grad_norm: 6.8634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7176 loss: 1.7176 2022/06/28 09:32:16 - mmengine - INFO - Epoch(train) [43][1920/3757] lr: 1.000e-03 eta: 15:55:56 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.5168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3507 loss: 1.3507 2022/06/28 09:32:21 - mmengine - INFO - Epoch(train) [43][1940/3757] lr: 1.000e-03 eta: 15:55:50 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.1903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4348 loss: 1.4348 2022/06/28 09:32:26 - mmengine - INFO - Epoch(train) [43][1960/3757] lr: 1.000e-03 eta: 15:55:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5084 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9769 loss: 1.9769 2022/06/28 09:32:31 - mmengine - INFO - Epoch(train) [43][1980/3757] lr: 1.000e-03 eta: 15:55:39 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.8476 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4608 loss: 1.4608 2022/06/28 09:32:37 - mmengine - INFO - Epoch(train) [43][2000/3757] lr: 1.000e-03 eta: 15:55:34 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.4905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4282 loss: 1.4282 2022/06/28 09:32:42 - mmengine - INFO - Epoch(train) [43][2020/3757] lr: 1.000e-03 eta: 15:55:29 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.2358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6570 loss: 1.6570 2022/06/28 09:32:47 - mmengine - INFO - Epoch(train) [43][2040/3757] lr: 1.000e-03 eta: 15:55:23 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.2738 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1380 loss: 1.1380 2022/06/28 09:32:53 - mmengine - INFO - Epoch(train) [43][2060/3757] lr: 1.000e-03 eta: 15:55:18 time: 0.593 data_time: 0.016 memory: 5150 grad_norm: 5.5854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4415 loss: 1.4415 2022/06/28 09:32:58 - mmengine - INFO - Epoch(train) [43][2080/3757] lr: 1.000e-03 eta: 15:55:13 time: 0.583 data_time: 0.007 memory: 5150 grad_norm: 5.8464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6020 loss: 1.6020 2022/06/28 09:33:03 - mmengine - INFO - Epoch(train) [43][2100/3757] lr: 1.000e-03 eta: 15:55:07 time: 0.578 data_time: 0.007 memory: 5150 grad_norm: 5.9131 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7827 loss: 1.7827 2022/06/28 09:33:09 - mmengine - INFO - Epoch(train) [43][2120/3757] lr: 1.000e-03 eta: 15:55:02 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0628 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4298 loss: 1.4298 2022/06/28 09:33:14 - mmengine - INFO - Epoch(train) [43][2140/3757] lr: 1.000e-03 eta: 15:54:57 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0813 loss: 1.0813 2022/06/28 09:33:19 - mmengine - INFO - Epoch(train) [43][2160/3757] lr: 1.000e-03 eta: 15:54:51 time: 0.530 data_time: 0.010 memory: 5150 grad_norm: 6.9727 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6544 loss: 1.6544 2022/06/28 09:33:24 - mmengine - INFO - Epoch(train) [43][2180/3757] lr: 1.000e-03 eta: 15:54:46 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.2850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6022 loss: 1.6022 2022/06/28 09:33:30 - mmengine - INFO - Epoch(train) [43][2200/3757] lr: 1.000e-03 eta: 15:54:41 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.5408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0925 loss: 2.0925 2022/06/28 09:33:31 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:33:35 - mmengine - INFO - Epoch(train) [43][2220/3757] lr: 1.000e-03 eta: 15:54:35 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 6.0852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6485 loss: 1.6485 2022/06/28 09:33:41 - mmengine - INFO - Epoch(train) [43][2240/3757] lr: 1.000e-03 eta: 15:54:30 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.5357 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9924 loss: 1.9924 2022/06/28 09:33:46 - mmengine - INFO - Epoch(train) [43][2260/3757] lr: 1.000e-03 eta: 15:54:25 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 6.1847 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4351 loss: 1.4351 2022/06/28 09:33:51 - mmengine - INFO - Epoch(train) [43][2280/3757] lr: 1.000e-03 eta: 15:54:19 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.4607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5205 loss: 1.5205 2022/06/28 09:33:56 - mmengine - INFO - Epoch(train) [43][2300/3757] lr: 1.000e-03 eta: 15:54:13 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.7483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5962 loss: 1.5962 2022/06/28 09:34:01 - mmengine - INFO - Epoch(train) [43][2320/3757] lr: 1.000e-03 eta: 15:54:08 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5420 loss: 1.5420 2022/06/28 09:34:06 - mmengine - INFO - Epoch(train) [43][2340/3757] lr: 1.000e-03 eta: 15:54:02 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.9222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7973 loss: 1.7973 2022/06/28 09:34:12 - mmengine - INFO - Epoch(train) [43][2360/3757] lr: 1.000e-03 eta: 15:53:58 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.1248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5694 loss: 1.5694 2022/06/28 09:34:17 - mmengine - INFO - Epoch(train) [43][2380/3757] lr: 1.000e-03 eta: 15:53:53 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.9099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3898 loss: 1.3898 2022/06/28 09:34:22 - mmengine - INFO - Epoch(train) [43][2400/3757] lr: 1.000e-03 eta: 15:53:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4727 loss: 1.4727 2022/06/28 09:34:28 - mmengine - INFO - Epoch(train) [43][2420/3757] lr: 1.000e-03 eta: 15:53:42 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 6.6131 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8835 loss: 1.8835 2022/06/28 09:34:33 - mmengine - INFO - Epoch(train) [43][2440/3757] lr: 1.000e-03 eta: 15:53:36 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.2348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8103 loss: 1.8103 2022/06/28 09:34:38 - mmengine - INFO - Epoch(train) [43][2460/3757] lr: 1.000e-03 eta: 15:53:31 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9466 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5324 loss: 1.5324 2022/06/28 09:34:44 - mmengine - INFO - Epoch(train) [43][2480/3757] lr: 1.000e-03 eta: 15:53:26 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.0355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2586 loss: 1.2586 2022/06/28 09:34:50 - mmengine - INFO - Epoch(train) [43][2500/3757] lr: 1.000e-03 eta: 15:53:21 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/06/28 09:34:54 - mmengine - INFO - Epoch(train) [43][2520/3757] lr: 1.000e-03 eta: 15:53:15 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6903 loss: 1.6903 2022/06/28 09:35:00 - mmengine - INFO - Epoch(train) [43][2540/3757] lr: 1.000e-03 eta: 15:53:10 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.6469 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3348 loss: 1.3348 2022/06/28 09:35:05 - mmengine - INFO - Epoch(train) [43][2560/3757] lr: 1.000e-03 eta: 15:53:04 time: 0.326 data_time: 0.022 memory: 5150 grad_norm: 5.4449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7671 loss: 1.7671 2022/06/28 09:35:10 - mmengine - INFO - Epoch(train) [43][2580/3757] lr: 1.000e-03 eta: 15:52:58 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 4.7520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6641 loss: 1.6641 2022/06/28 09:35:15 - mmengine - INFO - Epoch(train) [43][2600/3757] lr: 1.000e-03 eta: 15:52:53 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 6.3034 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6634 loss: 1.6634 2022/06/28 09:35:21 - mmengine - INFO - Epoch(train) [43][2620/3757] lr: 1.000e-03 eta: 15:52:48 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 6.6202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3504 loss: 1.3504 2022/06/28 09:35:26 - mmengine - INFO - Epoch(train) [43][2640/3757] lr: 1.000e-03 eta: 15:52:42 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 6.1069 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5804 loss: 1.5804 2022/06/28 09:35:32 - mmengine - INFO - Epoch(train) [43][2660/3757] lr: 1.000e-03 eta: 15:52:38 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.2228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2556 loss: 1.2556 2022/06/28 09:35:38 - mmengine - INFO - Epoch(train) [43][2680/3757] lr: 1.000e-03 eta: 15:52:33 time: 0.935 data_time: 0.007 memory: 5150 grad_norm: 5.2708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/06/28 09:35:42 - mmengine - INFO - Epoch(train) [43][2700/3757] lr: 1.000e-03 eta: 15:52:27 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 4.8094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4668 loss: 1.4668 2022/06/28 09:35:48 - mmengine - INFO - Epoch(train) [43][2720/3757] lr: 1.000e-03 eta: 15:52:22 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.2184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3176 loss: 1.3176 2022/06/28 09:35:53 - mmengine - INFO - Epoch(train) [43][2740/3757] lr: 1.000e-03 eta: 15:52:17 time: 0.471 data_time: 0.012 memory: 5150 grad_norm: 4.7447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6985 loss: 1.6985 2022/06/28 09:35:58 - mmengine - INFO - Epoch(train) [43][2760/3757] lr: 1.000e-03 eta: 15:52:11 time: 0.375 data_time: 0.014 memory: 5150 grad_norm: 6.6668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5197 loss: 1.5197 2022/06/28 09:36:03 - mmengine - INFO - Epoch(train) [43][2780/3757] lr: 1.000e-03 eta: 15:52:05 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 5.4443 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6968 loss: 1.6968 2022/06/28 09:36:09 - mmengine - INFO - Epoch(train) [43][2800/3757] lr: 1.000e-03 eta: 15:52:01 time: 0.237 data_time: 0.016 memory: 5150 grad_norm: 5.4259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3876 loss: 1.3876 2022/06/28 09:36:14 - mmengine - INFO - Epoch(train) [43][2820/3757] lr: 1.000e-03 eta: 15:51:55 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.6265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4889 loss: 1.4889 2022/06/28 09:36:20 - mmengine - INFO - Epoch(train) [43][2840/3757] lr: 1.000e-03 eta: 15:51:50 time: 0.214 data_time: 0.013 memory: 5150 grad_norm: 6.0076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5566 loss: 1.5566 2022/06/28 09:36:25 - mmengine - INFO - Epoch(train) [43][2860/3757] lr: 1.000e-03 eta: 15:51:45 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.4698 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7558 loss: 1.7558 2022/06/28 09:36:30 - mmengine - INFO - Epoch(train) [43][2880/3757] lr: 1.000e-03 eta: 15:51:39 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.1116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/06/28 09:36:35 - mmengine - INFO - Epoch(train) [43][2900/3757] lr: 1.000e-03 eta: 15:51:34 time: 0.195 data_time: 0.018 memory: 5150 grad_norm: 7.2871 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3672 loss: 1.3672 2022/06/28 09:36:41 - mmengine - INFO - Epoch(train) [43][2920/3757] lr: 1.000e-03 eta: 15:51:29 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 6.4785 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3707 loss: 1.3707 2022/06/28 09:36:46 - mmengine - INFO - Epoch(train) [43][2940/3757] lr: 1.000e-03 eta: 15:51:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7879 loss: 1.7879 2022/06/28 09:36:51 - mmengine - INFO - Epoch(train) [43][2960/3757] lr: 1.000e-03 eta: 15:51:18 time: 0.206 data_time: 0.029 memory: 5150 grad_norm: 5.6387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3470 loss: 1.3470 2022/06/28 09:36:57 - mmengine - INFO - Epoch(train) [43][2980/3757] lr: 1.000e-03 eta: 15:51:13 time: 0.232 data_time: 0.010 memory: 5150 grad_norm: 6.3625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5488 loss: 1.5488 2022/06/28 09:37:02 - mmengine - INFO - Epoch(train) [43][3000/3757] lr: 1.000e-03 eta: 15:51:07 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.0020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7672 loss: 1.7672 2022/06/28 09:37:07 - mmengine - INFO - Epoch(train) [43][3020/3757] lr: 1.000e-03 eta: 15:51:02 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 6.0714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5090 loss: 1.5090 2022/06/28 09:37:13 - mmengine - INFO - Epoch(train) [43][3040/3757] lr: 1.000e-03 eta: 15:50:57 time: 0.394 data_time: 0.019 memory: 5150 grad_norm: 5.5069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7296 loss: 1.7296 2022/06/28 09:37:18 - mmengine - INFO - Epoch(train) [43][3060/3757] lr: 1.000e-03 eta: 15:50:51 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 5.8670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4948 loss: 1.4948 2022/06/28 09:37:23 - mmengine - INFO - Epoch(train) [43][3080/3757] lr: 1.000e-03 eta: 15:50:46 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.1082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8159 loss: 1.8159 2022/06/28 09:37:29 - mmengine - INFO - Epoch(train) [43][3100/3757] lr: 1.000e-03 eta: 15:50:42 time: 0.297 data_time: 0.009 memory: 5150 grad_norm: 6.3556 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9970 loss: 1.9970 2022/06/28 09:37:34 - mmengine - INFO - Epoch(train) [43][3120/3757] lr: 1.000e-03 eta: 15:50:36 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 5.3717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1489 loss: 2.1489 2022/06/28 09:37:40 - mmengine - INFO - Epoch(train) [43][3140/3757] lr: 1.000e-03 eta: 15:50:31 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 5.6695 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3002 loss: 1.3002 2022/06/28 09:37:45 - mmengine - INFO - Epoch(train) [43][3160/3757] lr: 1.000e-03 eta: 15:50:25 time: 0.456 data_time: 0.007 memory: 5150 grad_norm: 6.0564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6840 loss: 1.6840 2022/06/28 09:37:50 - mmengine - INFO - Epoch(train) [43][3180/3757] lr: 1.000e-03 eta: 15:50:19 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 5.4344 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2327 loss: 1.2327 2022/06/28 09:37:55 - mmengine - INFO - Epoch(train) [43][3200/3757] lr: 1.000e-03 eta: 15:50:14 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.6385 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6721 loss: 1.6721 2022/06/28 09:37:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:38:01 - mmengine - INFO - Epoch(train) [43][3220/3757] lr: 1.000e-03 eta: 15:50:09 time: 0.415 data_time: 0.008 memory: 5150 grad_norm: 5.4748 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7869 loss: 1.7869 2022/06/28 09:38:05 - mmengine - INFO - Epoch(train) [43][3240/3757] lr: 1.000e-03 eta: 15:50:03 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 6.7129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6801 loss: 1.6801 2022/06/28 09:38:11 - mmengine - INFO - Epoch(train) [43][3260/3757] lr: 1.000e-03 eta: 15:49:59 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9116 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8396 loss: 1.8396 2022/06/28 09:38:17 - mmengine - INFO - Epoch(train) [43][3280/3757] lr: 1.000e-03 eta: 15:49:53 time: 0.981 data_time: 0.007 memory: 5150 grad_norm: 5.2580 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6152 loss: 1.6152 2022/06/28 09:38:22 - mmengine - INFO - Epoch(train) [43][3300/3757] lr: 1.000e-03 eta: 15:49:47 time: 0.205 data_time: 0.030 memory: 5150 grad_norm: 5.9595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7515 loss: 1.7515 2022/06/28 09:38:27 - mmengine - INFO - Epoch(train) [43][3320/3757] lr: 1.000e-03 eta: 15:49:42 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.8870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3034 loss: 1.3034 2022/06/28 09:38:32 - mmengine - INFO - Epoch(train) [43][3340/3757] lr: 1.000e-03 eta: 15:49:37 time: 0.876 data_time: 0.006 memory: 5150 grad_norm: 5.7368 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8456 loss: 1.8456 2022/06/28 09:38:37 - mmengine - INFO - Epoch(train) [43][3360/3757] lr: 1.000e-03 eta: 15:49:31 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 6.1446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/06/28 09:38:43 - mmengine - INFO - Epoch(train) [43][3380/3757] lr: 1.000e-03 eta: 15:49:26 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.3549 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8506 loss: 1.8506 2022/06/28 09:38:48 - mmengine - INFO - Epoch(train) [43][3400/3757] lr: 1.000e-03 eta: 15:49:20 time: 0.814 data_time: 0.010 memory: 5150 grad_norm: 6.3465 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2119 loss: 1.2119 2022/06/28 09:38:53 - mmengine - INFO - Epoch(train) [43][3420/3757] lr: 1.000e-03 eta: 15:49:14 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5126 loss: 1.5126 2022/06/28 09:38:58 - mmengine - INFO - Epoch(train) [43][3440/3757] lr: 1.000e-03 eta: 15:49:08 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 6.0269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4121 loss: 1.4121 2022/06/28 09:39:03 - mmengine - INFO - Epoch(train) [43][3460/3757] lr: 1.000e-03 eta: 15:49:04 time: 1.084 data_time: 0.010 memory: 5150 grad_norm: 5.7988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3834 loss: 1.3834 2022/06/28 09:39:08 - mmengine - INFO - Epoch(train) [43][3480/3757] lr: 1.000e-03 eta: 15:48:58 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 6.4698 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 2.0684 loss: 2.0684 2022/06/28 09:39:13 - mmengine - INFO - Epoch(train) [43][3500/3757] lr: 1.000e-03 eta: 15:48:52 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.4609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2732 loss: 1.2732 2022/06/28 09:39:19 - mmengine - INFO - Epoch(train) [43][3520/3757] lr: 1.000e-03 eta: 15:48:47 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 5.6793 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6458 loss: 1.6458 2022/06/28 09:39:24 - mmengine - INFO - Epoch(train) [43][3540/3757] lr: 1.000e-03 eta: 15:48:41 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.4341 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7354 loss: 1.7354 2022/06/28 09:39:29 - mmengine - INFO - Epoch(train) [43][3560/3757] lr: 1.000e-03 eta: 15:48:36 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.9621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7795 loss: 1.7795 2022/06/28 09:39:34 - mmengine - INFO - Epoch(train) [43][3580/3757] lr: 1.000e-03 eta: 15:48:30 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.2565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5272 loss: 1.5272 2022/06/28 09:39:40 - mmengine - INFO - Epoch(train) [43][3600/3757] lr: 1.000e-03 eta: 15:48:25 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/06/28 09:39:45 - mmengine - INFO - Epoch(train) [43][3620/3757] lr: 1.000e-03 eta: 15:48:20 time: 0.279 data_time: 0.014 memory: 5150 grad_norm: 6.1597 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/06/28 09:39:50 - mmengine - INFO - Epoch(train) [43][3640/3757] lr: 1.000e-03 eta: 15:48:14 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.1130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/06/28 09:39:56 - mmengine - INFO - Epoch(train) [43][3660/3757] lr: 1.000e-03 eta: 15:48:09 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7099 loss: 1.7099 2022/06/28 09:40:01 - mmengine - INFO - Epoch(train) [43][3680/3757] lr: 1.000e-03 eta: 15:48:04 time: 0.558 data_time: 0.011 memory: 5150 grad_norm: 4.8050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1361 loss: 1.1361 2022/06/28 09:40:06 - mmengine - INFO - Epoch(train) [43][3700/3757] lr: 1.000e-03 eta: 15:47:59 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.1917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4501 loss: 1.4501 2022/06/28 09:40:12 - mmengine - INFO - Epoch(train) [43][3720/3757] lr: 1.000e-03 eta: 15:47:54 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5195 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4859 loss: 1.4859 2022/06/28 09:40:17 - mmengine - INFO - Epoch(train) [43][3740/3757] lr: 1.000e-03 eta: 15:47:49 time: 0.674 data_time: 0.012 memory: 5150 grad_norm: 6.9198 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7941 loss: 1.7941 2022/06/28 09:40:21 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:40:54 - mmengine - INFO - Epoch(val) [43][20/310] eta: 0:05:31 time: 0.906 data_time: 0.276 memory: 9746 2022/06/28 09:41:16 - mmengine - INFO - Epoch(val) [43][40/310] eta: 0:04:45 time: 1.007 data_time: 0.339 memory: 9746 2022/06/28 09:41:40 - mmengine - INFO - Epoch(val) [43][60/310] eta: 0:04:11 time: 0.962 data_time: 0.319 memory: 9746 2022/06/28 09:42:04 - mmengine - INFO - Epoch(val) [43][80/310] eta: 0:04:54 time: 1.189 data_time: 0.530 memory: 9746 2022/06/28 09:42:28 - mmengine - INFO - Epoch(val) [43][100/310] eta: 0:04:02 time: 2.109 data_time: 1.458 memory: 9746 2022/06/28 09:42:49 - mmengine - INFO - Epoch(val) [43][120/310] eta: 0:03:25 time: 1.150 data_time: 0.499 memory: 9746 2022/06/28 09:43:12 - mmengine - INFO - Epoch(val) [43][140/310] eta: 0:03:14 time: 1.075 data_time: 0.422 memory: 9746 2022/06/28 09:43:38 - mmengine - INFO - Epoch(val) [43][160/310] eta: 0:03:21 time: 4.048 data_time: 3.362 memory: 9746 2022/06/28 09:44:01 - mmengine - INFO - Epoch(val) [43][180/310] eta: 0:02:43 time: 1.038 data_time: 0.380 memory: 9746 2022/06/28 09:44:23 - mmengine - INFO - Epoch(val) [43][200/310] eta: 0:02:05 time: 1.055 data_time: 0.407 memory: 9746 2022/06/28 09:44:44 - mmengine - INFO - Epoch(val) [43][220/310] eta: 0:01:37 time: 0.988 data_time: 0.339 memory: 9746 2022/06/28 09:45:06 - mmengine - INFO - Epoch(val) [43][240/310] eta: 0:01:14 time: 1.013 data_time: 0.364 memory: 9746 2022/06/28 09:45:29 - mmengine - INFO - Epoch(val) [43][260/310] eta: 0:00:59 time: 1.074 data_time: 0.416 memory: 9746 2022/06/28 09:45:52 - mmengine - INFO - Epoch(val) [43][280/310] eta: 0:00:34 time: 2.046 data_time: 1.419 memory: 9746 2022/06/28 09:46:11 - mmengine - INFO - Epoch(val) [43][300/310] eta: 0:00:08 time: 0.643 data_time: 0.077 memory: 9746 2022/06/28 09:46:23 - mmengine - INFO - Epoch(val) [43][310/310] acc/top1: 0.6903 acc/top5: 0.8890 acc/mean1: 0.6902 2022/06/28 09:46:31 - mmengine - INFO - Epoch(train) [44][20/3757] lr: 1.000e-03 eta: 15:47:40 time: 0.196 data_time: 0.007 memory: 9746 grad_norm: 5.9319 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6908 loss: 1.6908 2022/06/28 09:46:37 - mmengine - INFO - Epoch(train) [44][40/3757] lr: 1.000e-03 eta: 15:47:35 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.3785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6841 loss: 1.6841 2022/06/28 09:46:42 - mmengine - INFO - Epoch(train) [44][60/3757] lr: 1.000e-03 eta: 15:47:29 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.7714 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2513 loss: 1.2513 2022/06/28 09:46:48 - mmengine - INFO - Epoch(train) [44][80/3757] lr: 1.000e-03 eta: 15:47:24 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 7.0829 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6646 loss: 1.6646 2022/06/28 09:46:54 - mmengine - INFO - Epoch(train) [44][100/3757] lr: 1.000e-03 eta: 15:47:20 time: 1.077 data_time: 0.007 memory: 5150 grad_norm: 5.7077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3712 loss: 1.3712 2022/06/28 09:46:59 - mmengine - INFO - Epoch(train) [44][120/3757] lr: 1.000e-03 eta: 15:47:14 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 5.8046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4396 loss: 1.4396 2022/06/28 09:47:04 - mmengine - INFO - Epoch(train) [44][140/3757] lr: 1.000e-03 eta: 15:47:09 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.1638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5359 loss: 1.5359 2022/06/28 09:47:10 - mmengine - INFO - Epoch(train) [44][160/3757] lr: 1.000e-03 eta: 15:47:04 time: 0.570 data_time: 0.007 memory: 5150 grad_norm: 6.1946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2476 loss: 1.2476 2022/06/28 09:47:15 - mmengine - INFO - Epoch(train) [44][180/3757] lr: 1.000e-03 eta: 15:46:58 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.3228 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0965 loss: 2.0965 2022/06/28 09:47:21 - mmengine - INFO - Epoch(train) [44][200/3757] lr: 1.000e-03 eta: 15:46:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4679 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8486 loss: 1.8486 2022/06/28 09:47:26 - mmengine - INFO - Epoch(train) [44][220/3757] lr: 1.000e-03 eta: 15:46:49 time: 1.142 data_time: 0.006 memory: 5150 grad_norm: 6.2682 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6534 loss: 1.6534 2022/06/28 09:47:31 - mmengine - INFO - Epoch(train) [44][240/3757] lr: 1.000e-03 eta: 15:46:43 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.4467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6641 loss: 1.6641 2022/06/28 09:47:36 - mmengine - INFO - Epoch(train) [44][260/3757] lr: 1.000e-03 eta: 15:46:37 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.5448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8215 loss: 1.8215 2022/06/28 09:47:42 - mmengine - INFO - Epoch(train) [44][280/3757] lr: 1.000e-03 eta: 15:46:32 time: 0.358 data_time: 0.007 memory: 5150 grad_norm: 5.9346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5376 loss: 1.5376 2022/06/28 09:47:46 - mmengine - INFO - Epoch(train) [44][300/3757] lr: 1.000e-03 eta: 15:46:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.4045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3039 loss: 1.3039 2022/06/28 09:47:52 - mmengine - INFO - Epoch(train) [44][320/3757] lr: 1.000e-03 eta: 15:46:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5881 loss: 1.5881 2022/06/28 09:47:57 - mmengine - INFO - Epoch(train) [44][340/3757] lr: 1.000e-03 eta: 15:46:16 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4084 loss: 1.4084 2022/06/28 09:48:02 - mmengine - INFO - Epoch(train) [44][360/3757] lr: 1.000e-03 eta: 15:46:10 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.4372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6032 loss: 1.6032 2022/06/28 09:48:08 - mmengine - INFO - Epoch(train) [44][380/3757] lr: 1.000e-03 eta: 15:46:05 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4636 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7175 loss: 1.7175 2022/06/28 09:48:14 - mmengine - INFO - Epoch(train) [44][400/3757] lr: 1.000e-03 eta: 15:46:01 time: 0.734 data_time: 0.006 memory: 5150 grad_norm: 6.0619 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6144 loss: 1.6144 2022/06/28 09:48:19 - mmengine - INFO - Epoch(train) [44][420/3757] lr: 1.000e-03 eta: 15:45:56 time: 0.335 data_time: 0.008 memory: 5150 grad_norm: 6.1487 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7131 loss: 1.7131 2022/06/28 09:48:24 - mmengine - INFO - Epoch(train) [44][440/3757] lr: 1.000e-03 eta: 15:45:50 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.8899 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4940 loss: 1.4940 2022/06/28 09:48:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:48:31 - mmengine - INFO - Epoch(train) [44][460/3757] lr: 1.000e-03 eta: 15:45:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1428 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6464 loss: 1.6464 2022/06/28 09:48:35 - mmengine - INFO - Epoch(train) [44][480/3757] lr: 1.000e-03 eta: 15:45:39 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.9428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8746 loss: 1.8746 2022/06/28 09:48:41 - mmengine - INFO - Epoch(train) [44][500/3757] lr: 1.000e-03 eta: 15:45:35 time: 0.232 data_time: 0.012 memory: 5150 grad_norm: 6.6188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8586 loss: 1.8586 2022/06/28 09:48:46 - mmengine - INFO - Epoch(train) [44][520/3757] lr: 1.000e-03 eta: 15:45:29 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2632 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6481 loss: 1.6481 2022/06/28 09:48:51 - mmengine - INFO - Epoch(train) [44][540/3757] lr: 1.000e-03 eta: 15:45:23 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.3683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7122 loss: 1.7122 2022/06/28 09:48:56 - mmengine - INFO - Epoch(train) [44][560/3757] lr: 1.000e-03 eta: 15:45:18 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.2503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7650 loss: 1.7650 2022/06/28 09:49:02 - mmengine - INFO - Epoch(train) [44][580/3757] lr: 1.000e-03 eta: 15:45:13 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 5.5426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5576 loss: 1.5576 2022/06/28 09:49:07 - mmengine - INFO - Epoch(train) [44][600/3757] lr: 1.000e-03 eta: 15:45:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.5252 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5342 loss: 1.5342 2022/06/28 09:49:12 - mmengine - INFO - Epoch(train) [44][620/3757] lr: 1.000e-03 eta: 15:45:02 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.5082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8723 loss: 1.8723 2022/06/28 09:49:18 - mmengine - INFO - Epoch(train) [44][640/3757] lr: 1.000e-03 eta: 15:44:57 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 5.2426 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3135 loss: 1.3135 2022/06/28 09:49:23 - mmengine - INFO - Epoch(train) [44][660/3757] lr: 1.000e-03 eta: 15:44:51 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.9331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5444 loss: 1.5444 2022/06/28 09:49:29 - mmengine - INFO - Epoch(train) [44][680/3757] lr: 1.000e-03 eta: 15:44:47 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.7273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/06/28 09:49:34 - mmengine - INFO - Epoch(train) [44][700/3757] lr: 1.000e-03 eta: 15:44:41 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 6.3946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/06/28 09:49:39 - mmengine - INFO - Epoch(train) [44][720/3757] lr: 1.000e-03 eta: 15:44:36 time: 0.212 data_time: 0.006 memory: 5150 grad_norm: 6.5362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6705 loss: 1.6705 2022/06/28 09:49:45 - mmengine - INFO - Epoch(train) [44][740/3757] lr: 1.000e-03 eta: 15:44:31 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.2937 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5978 loss: 1.5978 2022/06/28 09:49:50 - mmengine - INFO - Epoch(train) [44][760/3757] lr: 1.000e-03 eta: 15:44:25 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6359 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/06/28 09:49:55 - mmengine - INFO - Epoch(train) [44][780/3757] lr: 1.000e-03 eta: 15:44:20 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.4458 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0594 loss: 2.0594 2022/06/28 09:50:00 - mmengine - INFO - Epoch(train) [44][800/3757] lr: 1.000e-03 eta: 15:44:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1120 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5914 loss: 1.5914 2022/06/28 09:50:06 - mmengine - INFO - Epoch(train) [44][820/3757] lr: 1.000e-03 eta: 15:44:09 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.2165 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6465 loss: 1.6465 2022/06/28 09:50:11 - mmengine - INFO - Epoch(train) [44][840/3757] lr: 1.000e-03 eta: 15:44:04 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.6491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4583 loss: 1.4583 2022/06/28 09:50:16 - mmengine - INFO - Epoch(train) [44][860/3757] lr: 1.000e-03 eta: 15:43:58 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.1984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6300 loss: 1.6300 2022/06/28 09:50:21 - mmengine - INFO - Epoch(train) [44][880/3757] lr: 1.000e-03 eta: 15:43:53 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5791 loss: 1.5791 2022/06/28 09:50:27 - mmengine - INFO - Epoch(train) [44][900/3757] lr: 1.000e-03 eta: 15:43:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.5292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1189 loss: 2.1189 2022/06/28 09:50:32 - mmengine - INFO - Epoch(train) [44][920/3757] lr: 1.000e-03 eta: 15:43:43 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.7168 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/06/28 09:50:38 - mmengine - INFO - Epoch(train) [44][940/3757] lr: 1.000e-03 eta: 15:43:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3959 loss: 1.3959 2022/06/28 09:50:43 - mmengine - INFO - Epoch(train) [44][960/3757] lr: 1.000e-03 eta: 15:43:32 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.8723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4765 loss: 1.4765 2022/06/28 09:50:49 - mmengine - INFO - Epoch(train) [44][980/3757] lr: 1.000e-03 eta: 15:43:27 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.1010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2116 loss: 1.2116 2022/06/28 09:50:54 - mmengine - INFO - Epoch(train) [44][1000/3757] lr: 1.000e-03 eta: 15:43:22 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.0608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3857 loss: 1.3857 2022/06/28 09:50:59 - mmengine - INFO - Epoch(train) [44][1020/3757] lr: 1.000e-03 eta: 15:43:16 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.1503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3593 loss: 1.3593 2022/06/28 09:51:04 - mmengine - INFO - Epoch(train) [44][1040/3757] lr: 1.000e-03 eta: 15:43:11 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.4226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4268 loss: 1.4268 2022/06/28 09:51:10 - mmengine - INFO - Epoch(train) [44][1060/3757] lr: 1.000e-03 eta: 15:43:06 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 6.8643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4494 loss: 1.4494 2022/06/28 09:51:15 - mmengine - INFO - Epoch(train) [44][1080/3757] lr: 1.000e-03 eta: 15:43:01 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.7581 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6687 loss: 1.6687 2022/06/28 09:51:21 - mmengine - INFO - Epoch(train) [44][1100/3757] lr: 1.000e-03 eta: 15:42:56 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.4239 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8963 loss: 1.8963 2022/06/28 09:51:26 - mmengine - INFO - Epoch(train) [44][1120/3757] lr: 1.000e-03 eta: 15:42:51 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.8512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8092 loss: 1.8092 2022/06/28 09:51:31 - mmengine - INFO - Epoch(train) [44][1140/3757] lr: 1.000e-03 eta: 15:42:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6904 loss: 1.6904 2022/06/28 09:51:36 - mmengine - INFO - Epoch(train) [44][1160/3757] lr: 1.000e-03 eta: 15:42:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.7295 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5335 loss: 1.5335 2022/06/28 09:51:42 - mmengine - INFO - Epoch(train) [44][1180/3757] lr: 1.000e-03 eta: 15:42:34 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2263 loss: 1.2263 2022/06/28 09:51:47 - mmengine - INFO - Epoch(train) [44][1200/3757] lr: 1.000e-03 eta: 15:42:28 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.8448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8420 loss: 1.8420 2022/06/28 09:51:52 - mmengine - INFO - Epoch(train) [44][1220/3757] lr: 1.000e-03 eta: 15:42:23 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.1885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8578 loss: 1.8578 2022/06/28 09:51:58 - mmengine - INFO - Epoch(train) [44][1240/3757] lr: 1.000e-03 eta: 15:42:18 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.5967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4279 loss: 1.4279 2022/06/28 09:52:03 - mmengine - INFO - Epoch(train) [44][1260/3757] lr: 1.000e-03 eta: 15:42:12 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 5.9441 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5137 loss: 1.5137 2022/06/28 09:52:09 - mmengine - INFO - Epoch(train) [44][1280/3757] lr: 1.000e-03 eta: 15:42:08 time: 0.190 data_time: 0.009 memory: 5150 grad_norm: 5.7700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5240 loss: 1.5240 2022/06/28 09:52:14 - mmengine - INFO - Epoch(train) [44][1300/3757] lr: 1.000e-03 eta: 15:42:02 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.3382 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7726 loss: 1.7726 2022/06/28 09:52:19 - mmengine - INFO - Epoch(train) [44][1320/3757] lr: 1.000e-03 eta: 15:41:57 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.6551 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4699 loss: 1.4699 2022/06/28 09:52:25 - mmengine - INFO - Epoch(train) [44][1340/3757] lr: 1.000e-03 eta: 15:41:52 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0090 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6538 loss: 1.6538 2022/06/28 09:52:30 - mmengine - INFO - Epoch(train) [44][1360/3757] lr: 1.000e-03 eta: 15:41:46 time: 0.299 data_time: 0.008 memory: 5150 grad_norm: 6.1410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2749 loss: 1.2749 2022/06/28 09:52:35 - mmengine - INFO - Epoch(train) [44][1380/3757] lr: 1.000e-03 eta: 15:41:41 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.7554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5307 loss: 1.5307 2022/06/28 09:52:41 - mmengine - INFO - Epoch(train) [44][1400/3757] lr: 1.000e-03 eta: 15:41:36 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.7199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4286 loss: 1.4286 2022/06/28 09:52:46 - mmengine - INFO - Epoch(train) [44][1420/3757] lr: 1.000e-03 eta: 15:41:31 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.8556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5452 loss: 1.5452 2022/06/28 09:52:51 - mmengine - INFO - Epoch(train) [44][1440/3757] lr: 1.000e-03 eta: 15:41:26 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.5645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4408 loss: 1.4408 2022/06/28 09:52:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:52:57 - mmengine - INFO - Epoch(train) [44][1460/3757] lr: 1.000e-03 eta: 15:41:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5583 loss: 1.5583 2022/06/28 09:53:02 - mmengine - INFO - Epoch(train) [44][1480/3757] lr: 1.000e-03 eta: 15:41:15 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.1331 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4959 loss: 1.4959 2022/06/28 09:53:08 - mmengine - INFO - Epoch(train) [44][1500/3757] lr: 1.000e-03 eta: 15:41:10 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.4801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/06/28 09:53:13 - mmengine - INFO - Epoch(train) [44][1520/3757] lr: 1.000e-03 eta: 15:41:04 time: 0.191 data_time: 0.013 memory: 5150 grad_norm: 6.9529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6569 loss: 1.6569 2022/06/28 09:53:18 - mmengine - INFO - Epoch(train) [44][1540/3757] lr: 1.000e-03 eta: 15:40:59 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.2274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5030 loss: 1.5030 2022/06/28 09:53:23 - mmengine - INFO - Epoch(train) [44][1560/3757] lr: 1.000e-03 eta: 15:40:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.1902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/06/28 09:53:29 - mmengine - INFO - Epoch(train) [44][1580/3757] lr: 1.000e-03 eta: 15:40:49 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.7542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5659 loss: 1.5659 2022/06/28 09:53:34 - mmengine - INFO - Epoch(train) [44][1600/3757] lr: 1.000e-03 eta: 15:40:43 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.0041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7854 loss: 1.7854 2022/06/28 09:53:39 - mmengine - INFO - Epoch(train) [44][1620/3757] lr: 1.000e-03 eta: 15:40:37 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8650 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7398 loss: 1.7398 2022/06/28 09:53:45 - mmengine - INFO - Epoch(train) [44][1640/3757] lr: 1.000e-03 eta: 15:40:32 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.3886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/06/28 09:53:49 - mmengine - INFO - Epoch(train) [44][1660/3757] lr: 1.000e-03 eta: 15:40:26 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.3042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2499 loss: 1.2499 2022/06/28 09:53:56 - mmengine - INFO - Epoch(train) [44][1680/3757] lr: 1.000e-03 eta: 15:40:22 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.1989 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5798 loss: 1.5798 2022/06/28 09:54:01 - mmengine - INFO - Epoch(train) [44][1700/3757] lr: 1.000e-03 eta: 15:40:17 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 4.9013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6043 loss: 1.6043 2022/06/28 09:54:06 - mmengine - INFO - Epoch(train) [44][1720/3757] lr: 1.000e-03 eta: 15:40:11 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.6206 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8522 loss: 1.8522 2022/06/28 09:54:12 - mmengine - INFO - Epoch(train) [44][1740/3757] lr: 1.000e-03 eta: 15:40:07 time: 0.606 data_time: 0.008 memory: 5150 grad_norm: 5.6349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7679 loss: 1.7679 2022/06/28 09:54:17 - mmengine - INFO - Epoch(train) [44][1760/3757] lr: 1.000e-03 eta: 15:40:00 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.4471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3655 loss: 1.3655 2022/06/28 09:54:22 - mmengine - INFO - Epoch(train) [44][1780/3757] lr: 1.000e-03 eta: 15:39:56 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 5.7756 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9010 loss: 1.9010 2022/06/28 09:54:28 - mmengine - INFO - Epoch(train) [44][1800/3757] lr: 1.000e-03 eta: 15:39:51 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.5724 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3222 loss: 1.3222 2022/06/28 09:54:32 - mmengine - INFO - Epoch(train) [44][1820/3757] lr: 1.000e-03 eta: 15:39:44 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.4699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0466 loss: 1.0466 2022/06/28 09:54:38 - mmengine - INFO - Epoch(train) [44][1840/3757] lr: 1.000e-03 eta: 15:39:39 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.5975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/06/28 09:54:43 - mmengine - INFO - Epoch(train) [44][1860/3757] lr: 1.000e-03 eta: 15:39:34 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.0413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5487 loss: 1.5487 2022/06/28 09:54:48 - mmengine - INFO - Epoch(train) [44][1880/3757] lr: 1.000e-03 eta: 15:39:28 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.5129 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0733 loss: 1.0733 2022/06/28 09:54:54 - mmengine - INFO - Epoch(train) [44][1900/3757] lr: 1.000e-03 eta: 15:39:23 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4458 loss: 1.4458 2022/06/28 09:54:59 - mmengine - INFO - Epoch(train) [44][1920/3757] lr: 1.000e-03 eta: 15:39:18 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 5.5308 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3166 loss: 1.3166 2022/06/28 09:55:05 - mmengine - INFO - Epoch(train) [44][1940/3757] lr: 1.000e-03 eta: 15:39:13 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.6628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/06/28 09:55:11 - mmengine - INFO - Epoch(train) [44][1960/3757] lr: 1.000e-03 eta: 15:39:09 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.4196 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5770 loss: 1.5770 2022/06/28 09:55:15 - mmengine - INFO - Epoch(train) [44][1980/3757] lr: 1.000e-03 eta: 15:39:02 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 5.5529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9799 loss: 1.9799 2022/06/28 09:55:20 - mmengine - INFO - Epoch(train) [44][2000/3757] lr: 1.000e-03 eta: 15:38:56 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.5024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5714 loss: 1.5714 2022/06/28 09:55:26 - mmengine - INFO - Epoch(train) [44][2020/3757] lr: 1.000e-03 eta: 15:38:51 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4942 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6034 loss: 1.6034 2022/06/28 09:55:32 - mmengine - INFO - Epoch(train) [44][2040/3757] lr: 1.000e-03 eta: 15:38:47 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 6.7555 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5407 loss: 1.5407 2022/06/28 09:55:36 - mmengine - INFO - Epoch(train) [44][2060/3757] lr: 1.000e-03 eta: 15:38:40 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.7905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8291 loss: 1.8291 2022/06/28 09:55:42 - mmengine - INFO - Epoch(train) [44][2080/3757] lr: 1.000e-03 eta: 15:38:35 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1112 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7639 loss: 1.7639 2022/06/28 09:55:47 - mmengine - INFO - Epoch(train) [44][2100/3757] lr: 1.000e-03 eta: 15:38:30 time: 0.213 data_time: 0.018 memory: 5150 grad_norm: 6.4191 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3286 loss: 1.3286 2022/06/28 09:55:52 - mmengine - INFO - Epoch(train) [44][2120/3757] lr: 1.000e-03 eta: 15:38:25 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.9221 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.4928 loss: 1.4928 2022/06/28 09:55:58 - mmengine - INFO - Epoch(train) [44][2140/3757] lr: 1.000e-03 eta: 15:38:20 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.1679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3540 loss: 1.3540 2022/06/28 09:56:03 - mmengine - INFO - Epoch(train) [44][2160/3757] lr: 1.000e-03 eta: 15:38:14 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.0399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7850 loss: 1.7850 2022/06/28 09:56:08 - mmengine - INFO - Epoch(train) [44][2180/3757] lr: 1.000e-03 eta: 15:38:09 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.8737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3657 loss: 1.3657 2022/06/28 09:56:14 - mmengine - INFO - Epoch(train) [44][2200/3757] lr: 1.000e-03 eta: 15:38:04 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.0654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/06/28 09:56:20 - mmengine - INFO - Epoch(train) [44][2220/3757] lr: 1.000e-03 eta: 15:37:59 time: 0.214 data_time: 0.019 memory: 5150 grad_norm: 5.9050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/06/28 09:56:24 - mmengine - INFO - Epoch(train) [44][2240/3757] lr: 1.000e-03 eta: 15:37:53 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.0440 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6747 loss: 1.6747 2022/06/28 09:56:30 - mmengine - INFO - Epoch(train) [44][2260/3757] lr: 1.000e-03 eta: 15:37:48 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.7663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9152 loss: 1.9152 2022/06/28 09:56:35 - mmengine - INFO - Epoch(train) [44][2280/3757] lr: 1.000e-03 eta: 15:37:43 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 5.8964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/06/28 09:56:40 - mmengine - INFO - Epoch(train) [44][2300/3757] lr: 1.000e-03 eta: 15:37:37 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.7269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2327 loss: 1.2327 2022/06/28 09:56:46 - mmengine - INFO - Epoch(train) [44][2320/3757] lr: 1.000e-03 eta: 15:37:32 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.8527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3335 loss: 1.3335 2022/06/28 09:56:52 - mmengine - INFO - Epoch(train) [44][2340/3757] lr: 1.000e-03 eta: 15:37:27 time: 0.227 data_time: 0.014 memory: 5150 grad_norm: 6.5652 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6331 loss: 1.6331 2022/06/28 09:56:56 - mmengine - INFO - Epoch(train) [44][2360/3757] lr: 1.000e-03 eta: 15:37:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.8942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0075 loss: 2.0075 2022/06/28 09:57:02 - mmengine - INFO - Epoch(train) [44][2380/3757] lr: 1.000e-03 eta: 15:37:16 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 5.8352 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4625 loss: 1.4625 2022/06/28 09:57:08 - mmengine - INFO - Epoch(train) [44][2400/3757] lr: 1.000e-03 eta: 15:37:12 time: 0.222 data_time: 0.014 memory: 5150 grad_norm: 5.6641 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8561 loss: 1.8561 2022/06/28 09:57:13 - mmengine - INFO - Epoch(train) [44][2420/3757] lr: 1.000e-03 eta: 15:37:07 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.8448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4607 loss: 1.4607 2022/06/28 09:57:17 - mmengine - INFO - Epoch(train) [44][2440/3757] lr: 1.000e-03 eta: 15:37:00 time: 0.228 data_time: 0.010 memory: 5150 grad_norm: 5.6082 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1989 loss: 1.1989 2022/06/28 09:57:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 09:57:23 - mmengine - INFO - Epoch(train) [44][2460/3757] lr: 1.000e-03 eta: 15:36:54 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 4.9611 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4874 loss: 1.4874 2022/06/28 09:57:27 - mmengine - INFO - Epoch(train) [44][2480/3757] lr: 1.000e-03 eta: 15:36:48 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.5378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4930 loss: 1.4930 2022/06/28 09:57:33 - mmengine - INFO - Epoch(train) [44][2500/3757] lr: 1.000e-03 eta: 15:36:43 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 5.0202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3570 loss: 1.3570 2022/06/28 09:57:39 - mmengine - INFO - Epoch(train) [44][2520/3757] lr: 1.000e-03 eta: 15:36:38 time: 0.212 data_time: 0.035 memory: 5150 grad_norm: 5.7589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/06/28 09:57:43 - mmengine - INFO - Epoch(train) [44][2540/3757] lr: 1.000e-03 eta: 15:36:32 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 6.0242 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5543 loss: 1.5543 2022/06/28 09:57:49 - mmengine - INFO - Epoch(train) [44][2560/3757] lr: 1.000e-03 eta: 15:36:27 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.1865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2425 loss: 1.2425 2022/06/28 09:57:54 - mmengine - INFO - Epoch(train) [44][2580/3757] lr: 1.000e-03 eta: 15:36:22 time: 0.457 data_time: 0.279 memory: 5150 grad_norm: 5.9863 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4446 loss: 1.4446 2022/06/28 09:57:59 - mmengine - INFO - Epoch(train) [44][2600/3757] lr: 1.000e-03 eta: 15:36:16 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 5.9163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6288 loss: 1.6288 2022/06/28 09:58:05 - mmengine - INFO - Epoch(train) [44][2620/3757] lr: 1.000e-03 eta: 15:36:11 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.9417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4375 loss: 1.4375 2022/06/28 09:58:10 - mmengine - INFO - Epoch(train) [44][2640/3757] lr: 1.000e-03 eta: 15:36:06 time: 0.439 data_time: 0.271 memory: 5150 grad_norm: 6.0968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5778 loss: 1.5778 2022/06/28 09:58:15 - mmengine - INFO - Epoch(train) [44][2660/3757] lr: 1.000e-03 eta: 15:36:00 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.2476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3959 loss: 1.3959 2022/06/28 09:58:21 - mmengine - INFO - Epoch(train) [44][2680/3757] lr: 1.000e-03 eta: 15:35:55 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4359 loss: 1.4359 2022/06/28 09:58:26 - mmengine - INFO - Epoch(train) [44][2700/3757] lr: 1.000e-03 eta: 15:35:50 time: 0.923 data_time: 0.752 memory: 5150 grad_norm: 6.3345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1998 loss: 2.1998 2022/06/28 09:58:31 - mmengine - INFO - Epoch(train) [44][2720/3757] lr: 1.000e-03 eta: 15:35:44 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.5858 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3637 loss: 1.3637 2022/06/28 09:58:37 - mmengine - INFO - Epoch(train) [44][2740/3757] lr: 1.000e-03 eta: 15:35:40 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.5642 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9149 loss: 1.9149 2022/06/28 09:58:43 - mmengine - INFO - Epoch(train) [44][2760/3757] lr: 1.000e-03 eta: 15:35:35 time: 0.225 data_time: 0.051 memory: 5150 grad_norm: 5.4671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5684 loss: 1.5684 2022/06/28 09:58:48 - mmengine - INFO - Epoch(train) [44][2780/3757] lr: 1.000e-03 eta: 15:35:29 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.5640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5438 loss: 1.5438 2022/06/28 09:58:53 - mmengine - INFO - Epoch(train) [44][2800/3757] lr: 1.000e-03 eta: 15:35:24 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6768 loss: 1.6768 2022/06/28 09:58:59 - mmengine - INFO - Epoch(train) [44][2820/3757] lr: 1.000e-03 eta: 15:35:19 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 5.3534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3764 loss: 1.3764 2022/06/28 09:59:04 - mmengine - INFO - Epoch(train) [44][2840/3757] lr: 1.000e-03 eta: 15:35:13 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 6.0847 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3789 loss: 1.3789 2022/06/28 09:59:09 - mmengine - INFO - Epoch(train) [44][2860/3757] lr: 1.000e-03 eta: 15:35:08 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.0298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/06/28 09:59:15 - mmengine - INFO - Epoch(train) [44][2880/3757] lr: 1.000e-03 eta: 15:35:03 time: 0.196 data_time: 0.022 memory: 5150 grad_norm: 5.6333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/06/28 09:59:19 - mmengine - INFO - Epoch(train) [44][2900/3757] lr: 1.000e-03 eta: 15:34:57 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.7205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6709 loss: 1.6709 2022/06/28 09:59:25 - mmengine - INFO - Epoch(train) [44][2920/3757] lr: 1.000e-03 eta: 15:34:52 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 5.9578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6328 loss: 1.6328 2022/06/28 09:59:30 - mmengine - INFO - Epoch(train) [44][2940/3757] lr: 1.000e-03 eta: 15:34:46 time: 0.201 data_time: 0.027 memory: 5150 grad_norm: 6.4261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2077 loss: 1.2077 2022/06/28 09:59:35 - mmengine - INFO - Epoch(train) [44][2960/3757] lr: 1.000e-03 eta: 15:34:40 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 5.2748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/06/28 09:59:40 - mmengine - INFO - Epoch(train) [44][2980/3757] lr: 1.000e-03 eta: 15:34:36 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.6786 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8185 loss: 1.8185 2022/06/28 09:59:46 - mmengine - INFO - Epoch(train) [44][3000/3757] lr: 1.000e-03 eta: 15:34:30 time: 0.622 data_time: 0.447 memory: 5150 grad_norm: 6.0881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3656 loss: 1.3656 2022/06/28 09:59:51 - mmengine - INFO - Epoch(train) [44][3020/3757] lr: 1.000e-03 eta: 15:34:25 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.6136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5858 loss: 1.5858 2022/06/28 09:59:56 - mmengine - INFO - Epoch(train) [44][3040/3757] lr: 1.000e-03 eta: 15:34:20 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.4944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3195 loss: 1.3195 2022/06/28 10:00:02 - mmengine - INFO - Epoch(train) [44][3060/3757] lr: 1.000e-03 eta: 15:34:15 time: 0.964 data_time: 0.796 memory: 5150 grad_norm: 5.6937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6844 loss: 1.6844 2022/06/28 10:00:07 - mmengine - INFO - Epoch(train) [44][3080/3757] lr: 1.000e-03 eta: 15:34:09 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.6345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7041 loss: 1.7041 2022/06/28 10:00:13 - mmengine - INFO - Epoch(train) [44][3100/3757] lr: 1.000e-03 eta: 15:34:04 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6621 loss: 1.6621 2022/06/28 10:00:18 - mmengine - INFO - Epoch(train) [44][3120/3757] lr: 1.000e-03 eta: 15:33:59 time: 0.289 data_time: 0.120 memory: 5150 grad_norm: 5.7720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4786 loss: 1.4786 2022/06/28 10:00:23 - mmengine - INFO - Epoch(train) [44][3140/3757] lr: 1.000e-03 eta: 15:33:53 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4696 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4113 loss: 1.4113 2022/06/28 10:00:29 - mmengine - INFO - Epoch(train) [44][3160/3757] lr: 1.000e-03 eta: 15:33:49 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.2897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4969 loss: 1.4969 2022/06/28 10:00:35 - mmengine - INFO - Epoch(train) [44][3180/3757] lr: 1.000e-03 eta: 15:33:44 time: 0.691 data_time: 0.521 memory: 5150 grad_norm: 5.9911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/06/28 10:00:40 - mmengine - INFO - Epoch(train) [44][3200/3757] lr: 1.000e-03 eta: 15:33:38 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8955 loss: 1.8955 2022/06/28 10:00:46 - mmengine - INFO - Epoch(train) [44][3220/3757] lr: 1.000e-03 eta: 15:33:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.1232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5311 loss: 1.5311 2022/06/28 10:00:52 - mmengine - INFO - Epoch(train) [44][3240/3757] lr: 1.000e-03 eta: 15:33:29 time: 0.727 data_time: 0.551 memory: 5150 grad_norm: 6.8158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5170 loss: 1.5170 2022/06/28 10:00:56 - mmengine - INFO - Epoch(train) [44][3260/3757] lr: 1.000e-03 eta: 15:33:23 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6336 loss: 1.6336 2022/06/28 10:01:02 - mmengine - INFO - Epoch(train) [44][3280/3757] lr: 1.000e-03 eta: 15:33:18 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4451 loss: 1.4451 2022/06/28 10:01:07 - mmengine - INFO - Epoch(train) [44][3300/3757] lr: 1.000e-03 eta: 15:33:13 time: 0.216 data_time: 0.042 memory: 5150 grad_norm: 6.3442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6259 loss: 1.6259 2022/06/28 10:01:13 - mmengine - INFO - Epoch(train) [44][3320/3757] lr: 1.000e-03 eta: 15:33:08 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 6.1326 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7080 loss: 1.7080 2022/06/28 10:01:18 - mmengine - INFO - Epoch(train) [44][3340/3757] lr: 1.000e-03 eta: 15:33:02 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.4324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4854 loss: 1.4854 2022/06/28 10:01:24 - mmengine - INFO - Epoch(train) [44][3360/3757] lr: 1.000e-03 eta: 15:32:57 time: 0.207 data_time: 0.033 memory: 5150 grad_norm: 7.1105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/06/28 10:01:28 - mmengine - INFO - Epoch(train) [44][3380/3757] lr: 1.000e-03 eta: 15:32:51 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 6.5879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4304 loss: 1.4304 2022/06/28 10:01:33 - mmengine - INFO - Epoch(train) [44][3400/3757] lr: 1.000e-03 eta: 15:32:45 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.4246 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5215 loss: 1.5215 2022/06/28 10:01:38 - mmengine - INFO - Epoch(train) [44][3420/3757] lr: 1.000e-03 eta: 15:32:40 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 5.1401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4191 loss: 1.4191 2022/06/28 10:01:44 - mmengine - INFO - Epoch(train) [44][3440/3757] lr: 1.000e-03 eta: 15:32:35 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.6635 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8566 loss: 1.8566 2022/06/28 10:01:46 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:01:49 - mmengine - INFO - Epoch(train) [44][3460/3757] lr: 1.000e-03 eta: 15:32:29 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4982 loss: 1.4982 2022/06/28 10:01:54 - mmengine - INFO - Epoch(train) [44][3480/3757] lr: 1.000e-03 eta: 15:32:24 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3257 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4859 loss: 1.4859 2022/06/28 10:02:00 - mmengine - INFO - Epoch(train) [44][3500/3757] lr: 1.000e-03 eta: 15:32:19 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.5701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9739 loss: 1.9739 2022/06/28 10:02:05 - mmengine - INFO - Epoch(train) [44][3520/3757] lr: 1.000e-03 eta: 15:32:13 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.2703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5158 loss: 1.5158 2022/06/28 10:02:11 - mmengine - INFO - Epoch(train) [44][3540/3757] lr: 1.000e-03 eta: 15:32:08 time: 0.299 data_time: 0.010 memory: 5150 grad_norm: 6.9103 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8386 loss: 1.8386 2022/06/28 10:02:16 - mmengine - INFO - Epoch(train) [44][3560/3757] lr: 1.000e-03 eta: 15:32:03 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.2590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8600 loss: 1.8600 2022/06/28 10:02:21 - mmengine - INFO - Epoch(train) [44][3580/3757] lr: 1.000e-03 eta: 15:31:57 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7527 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5079 loss: 1.5079 2022/06/28 10:02:26 - mmengine - INFO - Epoch(train) [44][3600/3757] lr: 1.000e-03 eta: 15:31:52 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 7.0812 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1428 loss: 2.1428 2022/06/28 10:02:32 - mmengine - INFO - Epoch(train) [44][3620/3757] lr: 1.000e-03 eta: 15:31:47 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.1723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5484 loss: 1.5484 2022/06/28 10:02:36 - mmengine - INFO - Epoch(train) [44][3640/3757] lr: 1.000e-03 eta: 15:31:40 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.0626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8299 loss: 1.8299 2022/06/28 10:02:41 - mmengine - INFO - Epoch(train) [44][3660/3757] lr: 1.000e-03 eta: 15:31:35 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.9368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/06/28 10:02:47 - mmengine - INFO - Epoch(train) [44][3680/3757] lr: 1.000e-03 eta: 15:31:30 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 6.0565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3473 loss: 1.3473 2022/06/28 10:02:52 - mmengine - INFO - Epoch(train) [44][3700/3757] lr: 1.000e-03 eta: 15:31:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.4452 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5782 loss: 1.5782 2022/06/28 10:02:57 - mmengine - INFO - Epoch(train) [44][3720/3757] lr: 1.000e-03 eta: 15:31:18 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 6.1671 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5908 loss: 1.5908 2022/06/28 10:03:03 - mmengine - INFO - Epoch(train) [44][3740/3757] lr: 1.000e-03 eta: 15:31:14 time: 0.223 data_time: 0.028 memory: 5150 grad_norm: 5.6288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3951 loss: 1.3951 2022/06/28 10:03:06 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:03:39 - mmengine - INFO - Epoch(val) [44][20/310] eta: 0:05:50 time: 1.089 data_time: 0.438 memory: 9746 2022/06/28 10:04:01 - mmengine - INFO - Epoch(val) [44][40/310] eta: 0:04:45 time: 1.107 data_time: 0.484 memory: 9746 2022/06/28 10:04:24 - mmengine - INFO - Epoch(val) [44][60/310] eta: 0:04:24 time: 1.084 data_time: 0.427 memory: 9746 2022/06/28 10:04:49 - mmengine - INFO - Epoch(val) [44][80/310] eta: 0:05:24 time: 1.097 data_time: 0.442 memory: 9746 2022/06/28 10:05:12 - mmengine - INFO - Epoch(val) [44][100/310] eta: 0:04:01 time: 2.478 data_time: 1.781 memory: 9746 2022/06/28 10:05:34 - mmengine - INFO - Epoch(val) [44][120/310] eta: 0:03:32 time: 1.150 data_time: 0.502 memory: 9746 2022/06/28 10:05:58 - mmengine - INFO - Epoch(val) [44][140/310] eta: 0:03:17 time: 1.127 data_time: 0.479 memory: 9746 2022/06/28 10:06:23 - mmengine - INFO - Epoch(val) [44][160/310] eta: 0:03:17 time: 3.643 data_time: 2.959 memory: 9746 2022/06/28 10:06:45 - mmengine - INFO - Epoch(val) [44][180/310] eta: 0:02:36 time: 0.912 data_time: 0.287 memory: 9746 2022/06/28 10:07:09 - mmengine - INFO - Epoch(val) [44][200/310] eta: 0:02:11 time: 1.056 data_time: 0.419 memory: 9746 2022/06/28 10:07:31 - mmengine - INFO - Epoch(val) [44][220/310] eta: 0:01:38 time: 1.286 data_time: 0.637 memory: 9746 2022/06/28 10:07:52 - mmengine - INFO - Epoch(val) [44][240/310] eta: 0:01:11 time: 1.069 data_time: 0.390 memory: 9746 2022/06/28 10:08:14 - mmengine - INFO - Epoch(val) [44][260/310] eta: 0:00:58 time: 1.077 data_time: 0.429 memory: 9746 2022/06/28 10:08:38 - mmengine - INFO - Epoch(val) [44][280/310] eta: 0:00:35 time: 2.402 data_time: 1.715 memory: 9746 2022/06/28 10:08:57 - mmengine - INFO - Epoch(val) [44][300/310] eta: 0:00:08 time: 0.648 data_time: 0.083 memory: 9746 2022/06/28 10:09:08 - mmengine - INFO - Epoch(val) [44][310/310] acc/top1: 0.6929 acc/top5: 0.8899 acc/mean1: 0.6928 2022/06/28 10:09:17 - mmengine - INFO - Epoch(train) [45][20/3757] lr: 1.000e-03 eta: 15:31:05 time: 0.196 data_time: 0.007 memory: 9746 grad_norm: 6.4439 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/06/28 10:09:23 - mmengine - INFO - Epoch(train) [45][40/3757] lr: 1.000e-03 eta: 15:31:00 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.8477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4115 loss: 1.4115 2022/06/28 10:09:27 - mmengine - INFO - Epoch(train) [45][60/3757] lr: 1.000e-03 eta: 15:30:54 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 6.0772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2776 loss: 1.2776 2022/06/28 10:09:33 - mmengine - INFO - Epoch(train) [45][80/3757] lr: 1.000e-03 eta: 15:30:49 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.0879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6672 loss: 1.6672 2022/06/28 10:09:39 - mmengine - INFO - Epoch(train) [45][100/3757] lr: 1.000e-03 eta: 15:30:44 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/28 10:09:44 - mmengine - INFO - Epoch(train) [45][120/3757] lr: 1.000e-03 eta: 15:30:39 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 6.2562 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7696 loss: 1.7696 2022/06/28 10:09:49 - mmengine - INFO - Epoch(train) [45][140/3757] lr: 1.000e-03 eta: 15:30:34 time: 0.189 data_time: 0.007 memory: 5150 grad_norm: 5.4256 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4744 loss: 1.4744 2022/06/28 10:09:55 - mmengine - INFO - Epoch(train) [45][160/3757] lr: 1.000e-03 eta: 15:30:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.7135 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/06/28 10:09:59 - mmengine - INFO - Epoch(train) [45][180/3757] lr: 1.000e-03 eta: 15:30:22 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 5.7309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5168 loss: 1.5168 2022/06/28 10:10:05 - mmengine - INFO - Epoch(train) [45][200/3757] lr: 1.000e-03 eta: 15:30:18 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6656 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/06/28 10:10:11 - mmengine - INFO - Epoch(train) [45][220/3757] lr: 1.000e-03 eta: 15:30:13 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7954 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0251 loss: 2.0251 2022/06/28 10:10:16 - mmengine - INFO - Epoch(train) [45][240/3757] lr: 1.000e-03 eta: 15:30:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.3565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3626 loss: 1.3626 2022/06/28 10:10:22 - mmengine - INFO - Epoch(train) [45][260/3757] lr: 1.000e-03 eta: 15:30:02 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 6.6676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/06/28 10:10:27 - mmengine - INFO - Epoch(train) [45][280/3757] lr: 1.000e-03 eta: 15:29:57 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.7992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6979 loss: 1.6979 2022/06/28 10:10:32 - mmengine - INFO - Epoch(train) [45][300/3757] lr: 1.000e-03 eta: 15:29:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1743 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3894 loss: 1.3894 2022/06/28 10:10:37 - mmengine - INFO - Epoch(train) [45][320/3757] lr: 1.000e-03 eta: 15:29:46 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.8628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4271 loss: 1.4271 2022/06/28 10:10:42 - mmengine - INFO - Epoch(train) [45][340/3757] lr: 1.000e-03 eta: 15:29:40 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0796 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8780 loss: 1.8780 2022/06/28 10:10:47 - mmengine - INFO - Epoch(train) [45][360/3757] lr: 1.000e-03 eta: 15:29:35 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.2489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/06/28 10:10:53 - mmengine - INFO - Epoch(train) [45][380/3757] lr: 1.000e-03 eta: 15:29:30 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.5497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7131 loss: 1.7131 2022/06/28 10:10:58 - mmengine - INFO - Epoch(train) [45][400/3757] lr: 1.000e-03 eta: 15:29:24 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.0545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0891 loss: 1.0891 2022/06/28 10:11:04 - mmengine - INFO - Epoch(train) [45][420/3757] lr: 1.000e-03 eta: 15:29:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4960 loss: 1.4960 2022/06/28 10:11:09 - mmengine - INFO - Epoch(train) [45][440/3757] lr: 1.000e-03 eta: 15:29:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.8792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5421 loss: 1.5421 2022/06/28 10:11:14 - mmengine - INFO - Epoch(train) [45][460/3757] lr: 1.000e-03 eta: 15:29:08 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 5.1217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/06/28 10:11:19 - mmengine - INFO - Epoch(train) [45][480/3757] lr: 1.000e-03 eta: 15:29:03 time: 0.245 data_time: 0.007 memory: 5150 grad_norm: 4.9283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3325 loss: 1.3325 2022/06/28 10:11:25 - mmengine - INFO - Epoch(train) [45][500/3757] lr: 1.000e-03 eta: 15:28:58 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.6771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/06/28 10:11:30 - mmengine - INFO - Epoch(train) [45][520/3757] lr: 1.000e-03 eta: 15:28:53 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.9386 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6609 loss: 1.6609 2022/06/28 10:11:36 - mmengine - INFO - Epoch(train) [45][540/3757] lr: 1.000e-03 eta: 15:28:47 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.4984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6800 loss: 1.6800 2022/06/28 10:11:41 - mmengine - INFO - Epoch(train) [45][560/3757] lr: 1.000e-03 eta: 15:28:42 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6690 loss: 1.6690 2022/06/28 10:11:46 - mmengine - INFO - Epoch(train) [45][580/3757] lr: 1.000e-03 eta: 15:28:37 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7879 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6804 loss: 1.6804 2022/06/28 10:11:52 - mmengine - INFO - Epoch(train) [45][600/3757] lr: 1.000e-03 eta: 15:28:32 time: 0.236 data_time: 0.007 memory: 5150 grad_norm: 6.8905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6125 loss: 1.6125 2022/06/28 10:11:57 - mmengine - INFO - Epoch(train) [45][620/3757] lr: 1.000e-03 eta: 15:28:27 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.0499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5119 loss: 1.5119 2022/06/28 10:12:03 - mmengine - INFO - Epoch(train) [45][640/3757] lr: 1.000e-03 eta: 15:28:22 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 5.6375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6759 loss: 1.6759 2022/06/28 10:12:07 - mmengine - INFO - Epoch(train) [45][660/3757] lr: 1.000e-03 eta: 15:28:16 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.1516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4447 loss: 1.4447 2022/06/28 10:12:13 - mmengine - INFO - Epoch(train) [45][680/3757] lr: 1.000e-03 eta: 15:28:11 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.5666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5834 loss: 1.5834 2022/06/28 10:12:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:12:19 - mmengine - INFO - Epoch(train) [45][700/3757] lr: 1.000e-03 eta: 15:28:06 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5845 loss: 1.5845 2022/06/28 10:12:23 - mmengine - INFO - Epoch(train) [45][720/3757] lr: 1.000e-03 eta: 15:27:59 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.9439 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3684 loss: 1.3684 2022/06/28 10:12:29 - mmengine - INFO - Epoch(train) [45][740/3757] lr: 1.000e-03 eta: 15:27:54 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 6.0392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7669 loss: 1.7669 2022/06/28 10:12:34 - mmengine - INFO - Epoch(train) [45][760/3757] lr: 1.000e-03 eta: 15:27:49 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 6.2455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5313 loss: 1.5313 2022/06/28 10:12:39 - mmengine - INFO - Epoch(train) [45][780/3757] lr: 1.000e-03 eta: 15:27:43 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 4.8282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1079 loss: 1.1079 2022/06/28 10:12:45 - mmengine - INFO - Epoch(train) [45][800/3757] lr: 1.000e-03 eta: 15:27:38 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 5.9575 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0416 loss: 2.0416 2022/06/28 10:12:51 - mmengine - INFO - Epoch(train) [45][820/3757] lr: 1.000e-03 eta: 15:27:34 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.4173 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4860 loss: 1.4860 2022/06/28 10:12:56 - mmengine - INFO - Epoch(train) [45][840/3757] lr: 1.000e-03 eta: 15:27:28 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.9146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7252 loss: 1.7252 2022/06/28 10:13:01 - mmengine - INFO - Epoch(train) [45][860/3757] lr: 1.000e-03 eta: 15:27:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 4.9380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/06/28 10:13:06 - mmengine - INFO - Epoch(train) [45][880/3757] lr: 1.000e-03 eta: 15:27:17 time: 0.203 data_time: 0.027 memory: 5150 grad_norm: 6.3698 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5950 loss: 1.5950 2022/06/28 10:13:11 - mmengine - INFO - Epoch(train) [45][900/3757] lr: 1.000e-03 eta: 15:27:11 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 5.7207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7136 loss: 1.7136 2022/06/28 10:13:16 - mmengine - INFO - Epoch(train) [45][920/3757] lr: 1.000e-03 eta: 15:27:06 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.9897 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2323 loss: 1.2323 2022/06/28 10:13:22 - mmengine - INFO - Epoch(train) [45][940/3757] lr: 1.000e-03 eta: 15:27:01 time: 0.280 data_time: 0.106 memory: 5150 grad_norm: 5.8868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1288 loss: 1.1288 2022/06/28 10:13:27 - mmengine - INFO - Epoch(train) [45][960/3757] lr: 1.000e-03 eta: 15:26:55 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 7.2453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7637 loss: 1.7637 2022/06/28 10:13:33 - mmengine - INFO - Epoch(train) [45][980/3757] lr: 1.000e-03 eta: 15:26:51 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.1473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/06/28 10:13:38 - mmengine - INFO - Epoch(train) [45][1000/3757] lr: 1.000e-03 eta: 15:26:45 time: 0.217 data_time: 0.026 memory: 5150 grad_norm: 4.8376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4332 loss: 1.4332 2022/06/28 10:13:43 - mmengine - INFO - Epoch(train) [45][1020/3757] lr: 1.000e-03 eta: 15:26:39 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.1136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6009 loss: 1.6009 2022/06/28 10:13:48 - mmengine - INFO - Epoch(train) [45][1040/3757] lr: 1.000e-03 eta: 15:26:34 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5118 loss: 1.5118 2022/06/28 10:13:54 - mmengine - INFO - Epoch(train) [45][1060/3757] lr: 1.000e-03 eta: 15:26:29 time: 0.216 data_time: 0.036 memory: 5150 grad_norm: 5.3582 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1653 loss: 1.1653 2022/06/28 10:13:59 - mmengine - INFO - Epoch(train) [45][1080/3757] lr: 1.000e-03 eta: 15:26:23 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.6706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/06/28 10:14:05 - mmengine - INFO - Epoch(train) [45][1100/3757] lr: 1.000e-03 eta: 15:26:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2038 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8896 loss: 1.8896 2022/06/28 10:14:10 - mmengine - INFO - Epoch(train) [45][1120/3757] lr: 1.000e-03 eta: 15:26:14 time: 0.208 data_time: 0.034 memory: 5150 grad_norm: 5.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5405 loss: 1.5405 2022/06/28 10:14:15 - mmengine - INFO - Epoch(train) [45][1140/3757] lr: 1.000e-03 eta: 15:26:07 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.4129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5351 loss: 1.5351 2022/06/28 10:14:20 - mmengine - INFO - Epoch(train) [45][1160/3757] lr: 1.000e-03 eta: 15:26:03 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.7289 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9293 loss: 1.9293 2022/06/28 10:14:26 - mmengine - INFO - Epoch(train) [45][1180/3757] lr: 1.000e-03 eta: 15:25:58 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 6.3187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2977 loss: 1.2977 2022/06/28 10:14:31 - mmengine - INFO - Epoch(train) [45][1200/3757] lr: 1.000e-03 eta: 15:25:52 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 6.0081 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4203 loss: 1.4203 2022/06/28 10:14:37 - mmengine - INFO - Epoch(train) [45][1220/3757] lr: 1.000e-03 eta: 15:25:47 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 6.6027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4913 loss: 1.4913 2022/06/28 10:14:41 - mmengine - INFO - Epoch(train) [45][1240/3757] lr: 1.000e-03 eta: 15:25:41 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 5.8739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/06/28 10:14:46 - mmengine - INFO - Epoch(train) [45][1260/3757] lr: 1.000e-03 eta: 15:25:35 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.6371 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1435 loss: 1.1435 2022/06/28 10:14:51 - mmengine - INFO - Epoch(train) [45][1280/3757] lr: 1.000e-03 eta: 15:25:30 time: 0.194 data_time: 0.013 memory: 5150 grad_norm: 5.5512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7405 loss: 1.7405 2022/06/28 10:14:57 - mmengine - INFO - Epoch(train) [45][1300/3757] lr: 1.000e-03 eta: 15:25:25 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.6044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5540 loss: 1.5540 2022/06/28 10:15:02 - mmengine - INFO - Epoch(train) [45][1320/3757] lr: 1.000e-03 eta: 15:25:19 time: 0.218 data_time: 0.025 memory: 5150 grad_norm: 6.1019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/06/28 10:15:08 - mmengine - INFO - Epoch(train) [45][1340/3757] lr: 1.000e-03 eta: 15:25:14 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7982 loss: 1.7982 2022/06/28 10:15:13 - mmengine - INFO - Epoch(train) [45][1360/3757] lr: 1.000e-03 eta: 15:25:09 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.0061 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7133 loss: 1.7133 2022/06/28 10:15:18 - mmengine - INFO - Epoch(train) [45][1380/3757] lr: 1.000e-03 eta: 15:25:03 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 6.1379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7313 loss: 1.7313 2022/06/28 10:15:24 - mmengine - INFO - Epoch(train) [45][1400/3757] lr: 1.000e-03 eta: 15:24:58 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0170 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4105 loss: 1.4105 2022/06/28 10:15:29 - mmengine - INFO - Epoch(train) [45][1420/3757] lr: 1.000e-03 eta: 15:24:53 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 7.0675 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5526 loss: 1.5526 2022/06/28 10:15:35 - mmengine - INFO - Epoch(train) [45][1440/3757] lr: 1.000e-03 eta: 15:24:48 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.0438 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5191 loss: 1.5191 2022/06/28 10:15:40 - mmengine - INFO - Epoch(train) [45][1460/3757] lr: 1.000e-03 eta: 15:24:43 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4307 loss: 1.4307 2022/06/28 10:15:45 - mmengine - INFO - Epoch(train) [45][1480/3757] lr: 1.000e-03 eta: 15:24:37 time: 0.227 data_time: 0.011 memory: 5150 grad_norm: 6.8614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/06/28 10:15:50 - mmengine - INFO - Epoch(train) [45][1500/3757] lr: 1.000e-03 eta: 15:24:32 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.9417 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6052 loss: 1.6052 2022/06/28 10:15:56 - mmengine - INFO - Epoch(train) [45][1520/3757] lr: 1.000e-03 eta: 15:24:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2921 loss: 1.2921 2022/06/28 10:16:01 - mmengine - INFO - Epoch(train) [45][1540/3757] lr: 1.000e-03 eta: 15:24:21 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.5682 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/06/28 10:16:06 - mmengine - INFO - Epoch(train) [45][1560/3757] lr: 1.000e-03 eta: 15:24:16 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.1903 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4226 loss: 1.4226 2022/06/28 10:16:12 - mmengine - INFO - Epoch(train) [45][1580/3757] lr: 1.000e-03 eta: 15:24:11 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 5.8867 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3467 loss: 1.3467 2022/06/28 10:16:17 - mmengine - INFO - Epoch(train) [45][1600/3757] lr: 1.000e-03 eta: 15:24:05 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.5444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7067 loss: 1.7067 2022/06/28 10:16:23 - mmengine - INFO - Epoch(train) [45][1620/3757] lr: 1.000e-03 eta: 15:24:00 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 6.9835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2461 loss: 1.2461 2022/06/28 10:16:28 - mmengine - INFO - Epoch(train) [45][1640/3757] lr: 1.000e-03 eta: 15:23:55 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.3896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2549 loss: 1.2549 2022/06/28 10:16:33 - mmengine - INFO - Epoch(train) [45][1660/3757] lr: 1.000e-03 eta: 15:23:50 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.4638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6210 loss: 1.6210 2022/06/28 10:16:39 - mmengine - INFO - Epoch(train) [45][1680/3757] lr: 1.000e-03 eta: 15:23:44 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.9492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5797 loss: 1.5797 2022/06/28 10:16:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:16:44 - mmengine - INFO - Epoch(train) [45][1700/3757] lr: 1.000e-03 eta: 15:23:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1616 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8096 loss: 1.8096 2022/06/28 10:16:49 - mmengine - INFO - Epoch(train) [45][1720/3757] lr: 1.000e-03 eta: 15:23:33 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 6.1694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7067 loss: 1.7067 2022/06/28 10:16:56 - mmengine - INFO - Epoch(train) [45][1740/3757] lr: 1.000e-03 eta: 15:23:29 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 6.6467 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2367 loss: 1.2367 2022/06/28 10:17:00 - mmengine - INFO - Epoch(train) [45][1760/3757] lr: 1.000e-03 eta: 15:23:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.2967 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6570 loss: 1.6570 2022/06/28 10:17:05 - mmengine - INFO - Epoch(train) [45][1780/3757] lr: 1.000e-03 eta: 15:23:18 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3988 loss: 1.3988 2022/06/28 10:17:11 - mmengine - INFO - Epoch(train) [45][1800/3757] lr: 1.000e-03 eta: 15:23:13 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.0932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2453 loss: 1.2453 2022/06/28 10:17:15 - mmengine - INFO - Epoch(train) [45][1820/3757] lr: 1.000e-03 eta: 15:23:06 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.9803 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/06/28 10:17:20 - mmengine - INFO - Epoch(train) [45][1840/3757] lr: 1.000e-03 eta: 15:23:01 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 5.7873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0444 loss: 2.0444 2022/06/28 10:17:26 - mmengine - INFO - Epoch(train) [45][1860/3757] lr: 1.000e-03 eta: 15:22:56 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.0742 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3162 loss: 1.3162 2022/06/28 10:17:31 - mmengine - INFO - Epoch(train) [45][1880/3757] lr: 1.000e-03 eta: 15:22:50 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 6.2963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5242 loss: 1.5242 2022/06/28 10:17:37 - mmengine - INFO - Epoch(train) [45][1900/3757] lr: 1.000e-03 eta: 15:22:45 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 6.7249 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7160 loss: 1.7160 2022/06/28 10:17:42 - mmengine - INFO - Epoch(train) [45][1920/3757] lr: 1.000e-03 eta: 15:22:40 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 6.1422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/06/28 10:17:47 - mmengine - INFO - Epoch(train) [45][1940/3757] lr: 1.000e-03 eta: 15:22:34 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7173 loss: 1.7173 2022/06/28 10:17:53 - mmengine - INFO - Epoch(train) [45][1960/3757] lr: 1.000e-03 eta: 15:22:29 time: 0.383 data_time: 0.045 memory: 5150 grad_norm: 6.2630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5461 loss: 1.5461 2022/06/28 10:17:58 - mmengine - INFO - Epoch(train) [45][1980/3757] lr: 1.000e-03 eta: 15:22:24 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 7.3714 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6940 loss: 1.6940 2022/06/28 10:18:03 - mmengine - INFO - Epoch(train) [45][2000/3757] lr: 1.000e-03 eta: 15:22:18 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.6919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3398 loss: 1.3398 2022/06/28 10:18:08 - mmengine - INFO - Epoch(train) [45][2020/3757] lr: 1.000e-03 eta: 15:22:13 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 6.7586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6221 loss: 1.6221 2022/06/28 10:18:14 - mmengine - INFO - Epoch(train) [45][2040/3757] lr: 1.000e-03 eta: 15:22:08 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.0317 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7175 loss: 1.7175 2022/06/28 10:18:19 - mmengine - INFO - Epoch(train) [45][2060/3757] lr: 1.000e-03 eta: 15:22:02 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.0603 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6315 loss: 1.6315 2022/06/28 10:18:25 - mmengine - INFO - Epoch(train) [45][2080/3757] lr: 1.000e-03 eta: 15:21:57 time: 0.202 data_time: 0.028 memory: 5150 grad_norm: 6.1366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5809 loss: 1.5809 2022/06/28 10:18:29 - mmengine - INFO - Epoch(train) [45][2100/3757] lr: 1.000e-03 eta: 15:21:51 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 4.9882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3622 loss: 1.3622 2022/06/28 10:18:34 - mmengine - INFO - Epoch(train) [45][2120/3757] lr: 1.000e-03 eta: 15:21:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4473 loss: 1.4473 2022/06/28 10:18:39 - mmengine - INFO - Epoch(train) [45][2140/3757] lr: 1.000e-03 eta: 15:21:40 time: 0.242 data_time: 0.020 memory: 5150 grad_norm: 6.4424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/06/28 10:18:46 - mmengine - INFO - Epoch(train) [45][2160/3757] lr: 1.000e-03 eta: 15:21:36 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.3190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5990 loss: 1.5990 2022/06/28 10:18:50 - mmengine - INFO - Epoch(train) [45][2180/3757] lr: 1.000e-03 eta: 15:21:30 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.3473 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3097 loss: 1.3097 2022/06/28 10:18:55 - mmengine - INFO - Epoch(train) [45][2200/3757] lr: 1.000e-03 eta: 15:21:24 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.4385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/06/28 10:19:01 - mmengine - INFO - Epoch(train) [45][2220/3757] lr: 1.000e-03 eta: 15:21:19 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.6451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5522 loss: 1.5522 2022/06/28 10:19:06 - mmengine - INFO - Epoch(train) [45][2240/3757] lr: 1.000e-03 eta: 15:21:14 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.5513 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6906 loss: 1.6906 2022/06/28 10:19:12 - mmengine - INFO - Epoch(train) [45][2260/3757] lr: 1.000e-03 eta: 15:21:08 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9580 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0995 loss: 2.0995 2022/06/28 10:19:17 - mmengine - INFO - Epoch(train) [45][2280/3757] lr: 1.000e-03 eta: 15:21:04 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4568 loss: 1.4568 2022/06/28 10:19:23 - mmengine - INFO - Epoch(train) [45][2300/3757] lr: 1.000e-03 eta: 15:20:59 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.5094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/06/28 10:19:28 - mmengine - INFO - Epoch(train) [45][2320/3757] lr: 1.000e-03 eta: 15:20:53 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.1082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9166 loss: 1.9166 2022/06/28 10:19:34 - mmengine - INFO - Epoch(train) [45][2340/3757] lr: 1.000e-03 eta: 15:20:48 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 6.4428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/06/28 10:19:39 - mmengine - INFO - Epoch(train) [45][2360/3757] lr: 1.000e-03 eta: 15:20:43 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.7399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1865 loss: 2.1865 2022/06/28 10:19:44 - mmengine - INFO - Epoch(train) [45][2380/3757] lr: 1.000e-03 eta: 15:20:37 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.8058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3431 loss: 1.3431 2022/06/28 10:19:50 - mmengine - INFO - Epoch(train) [45][2400/3757] lr: 1.000e-03 eta: 15:20:32 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 5.5219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5800 loss: 1.5800 2022/06/28 10:19:55 - mmengine - INFO - Epoch(train) [45][2420/3757] lr: 1.000e-03 eta: 15:20:27 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.6072 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5705 loss: 1.5705 2022/06/28 10:20:00 - mmengine - INFO - Epoch(train) [45][2440/3757] lr: 1.000e-03 eta: 15:20:22 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.2956 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7577 loss: 1.7577 2022/06/28 10:20:06 - mmengine - INFO - Epoch(train) [45][2460/3757] lr: 1.000e-03 eta: 15:20:16 time: 0.227 data_time: 0.013 memory: 5150 grad_norm: 7.6715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8081 loss: 1.8081 2022/06/28 10:20:11 - mmengine - INFO - Epoch(train) [45][2480/3757] lr: 1.000e-03 eta: 15:20:11 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.4877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6150 loss: 1.6150 2022/06/28 10:20:16 - mmengine - INFO - Epoch(train) [45][2500/3757] lr: 1.000e-03 eta: 15:20:06 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 5.8873 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3378 loss: 1.3378 2022/06/28 10:20:22 - mmengine - INFO - Epoch(train) [45][2520/3757] lr: 1.000e-03 eta: 15:20:01 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 5.7932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3526 loss: 1.3526 2022/06/28 10:20:27 - mmengine - INFO - Epoch(train) [45][2540/3757] lr: 1.000e-03 eta: 15:19:55 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 6.8550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1578 loss: 1.1578 2022/06/28 10:20:32 - mmengine - INFO - Epoch(train) [45][2560/3757] lr: 1.000e-03 eta: 15:19:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.1153 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/06/28 10:20:37 - mmengine - INFO - Epoch(train) [45][2580/3757] lr: 1.000e-03 eta: 15:19:44 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 5.2193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4212 loss: 1.4212 2022/06/28 10:20:43 - mmengine - INFO - Epoch(train) [45][2600/3757] lr: 1.000e-03 eta: 15:19:40 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 5.9804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7879 loss: 1.7879 2022/06/28 10:20:48 - mmengine - INFO - Epoch(train) [45][2620/3757] lr: 1.000e-03 eta: 15:19:34 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.7188 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5544 loss: 1.5544 2022/06/28 10:20:54 - mmengine - INFO - Epoch(train) [45][2640/3757] lr: 1.000e-03 eta: 15:19:29 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 6.7662 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4614 loss: 1.4614 2022/06/28 10:20:59 - mmengine - INFO - Epoch(train) [45][2660/3757] lr: 1.000e-03 eta: 15:19:23 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.9423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9943 loss: 1.9943 2022/06/28 10:21:05 - mmengine - INFO - Epoch(train) [45][2680/3757] lr: 1.000e-03 eta: 15:19:19 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 6.6884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3019 loss: 1.3019 2022/06/28 10:21:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:21:10 - mmengine - INFO - Epoch(train) [45][2700/3757] lr: 1.000e-03 eta: 15:19:14 time: 0.218 data_time: 0.012 memory: 5150 grad_norm: 6.5562 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7084 loss: 1.7084 2022/06/28 10:21:15 - mmengine - INFO - Epoch(train) [45][2720/3757] lr: 1.000e-03 eta: 15:19:07 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.6705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4311 loss: 1.4311 2022/06/28 10:21:20 - mmengine - INFO - Epoch(train) [45][2740/3757] lr: 1.000e-03 eta: 15:19:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.0403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2490 loss: 1.2490 2022/06/28 10:21:26 - mmengine - INFO - Epoch(train) [45][2760/3757] lr: 1.000e-03 eta: 15:18:57 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 6.4816 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4977 loss: 1.4977 2022/06/28 10:21:31 - mmengine - INFO - Epoch(train) [45][2780/3757] lr: 1.000e-03 eta: 15:18:51 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 7.2937 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2532 loss: 1.2532 2022/06/28 10:21:36 - mmengine - INFO - Epoch(train) [45][2800/3757] lr: 1.000e-03 eta: 15:18:46 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 5.7589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4758 loss: 1.4758 2022/06/28 10:21:42 - mmengine - INFO - Epoch(train) [45][2820/3757] lr: 1.000e-03 eta: 15:18:41 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 6.3366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6737 loss: 1.6737 2022/06/28 10:21:47 - mmengine - INFO - Epoch(train) [45][2840/3757] lr: 1.000e-03 eta: 15:18:36 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 5.7014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5153 loss: 1.5153 2022/06/28 10:21:53 - mmengine - INFO - Epoch(train) [45][2860/3757] lr: 1.000e-03 eta: 15:18:31 time: 0.207 data_time: 0.024 memory: 5150 grad_norm: 5.8919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4512 loss: 1.4512 2022/06/28 10:21:58 - mmengine - INFO - Epoch(train) [45][2880/3757] lr: 1.000e-03 eta: 15:18:26 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 7.2775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4268 loss: 1.4268 2022/06/28 10:22:03 - mmengine - INFO - Epoch(train) [45][2900/3757] lr: 1.000e-03 eta: 15:18:20 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.1320 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/06/28 10:22:08 - mmengine - INFO - Epoch(train) [45][2920/3757] lr: 1.000e-03 eta: 15:18:15 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 7.3504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3800 loss: 1.3800 2022/06/28 10:22:14 - mmengine - INFO - Epoch(train) [45][2940/3757] lr: 1.000e-03 eta: 15:18:10 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.9869 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2389 loss: 1.2389 2022/06/28 10:22:19 - mmengine - INFO - Epoch(train) [45][2960/3757] lr: 1.000e-03 eta: 15:18:03 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 5.5774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/06/28 10:22:24 - mmengine - INFO - Epoch(train) [45][2980/3757] lr: 1.000e-03 eta: 15:17:58 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7515 loss: 1.7515 2022/06/28 10:22:29 - mmengine - INFO - Epoch(train) [45][3000/3757] lr: 1.000e-03 eta: 15:17:52 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6111 loss: 1.6111 2022/06/28 10:22:34 - mmengine - INFO - Epoch(train) [45][3020/3757] lr: 1.000e-03 eta: 15:17:47 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3348 loss: 1.3348 2022/06/28 10:22:40 - mmengine - INFO - Epoch(train) [45][3040/3757] lr: 1.000e-03 eta: 15:17:42 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.4385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/06/28 10:22:46 - mmengine - INFO - Epoch(train) [45][3060/3757] lr: 1.000e-03 eta: 15:17:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.9472 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/06/28 10:22:51 - mmengine - INFO - Epoch(train) [45][3080/3757] lr: 1.000e-03 eta: 15:17:32 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.9471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3350 loss: 1.3350 2022/06/28 10:22:56 - mmengine - INFO - Epoch(train) [45][3100/3757] lr: 1.000e-03 eta: 15:17:27 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.8046 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4151 loss: 1.4151 2022/06/28 10:23:01 - mmengine - INFO - Epoch(train) [45][3120/3757] lr: 1.000e-03 eta: 15:17:21 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.0113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5557 loss: 1.5557 2022/06/28 10:23:06 - mmengine - INFO - Epoch(train) [45][3140/3757] lr: 1.000e-03 eta: 15:17:15 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 6.4493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4523 loss: 1.4523 2022/06/28 10:23:12 - mmengine - INFO - Epoch(train) [45][3160/3757] lr: 1.000e-03 eta: 15:17:10 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.0928 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4057 loss: 1.4057 2022/06/28 10:23:17 - mmengine - INFO - Epoch(train) [45][3180/3757] lr: 1.000e-03 eta: 15:17:05 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.3739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5819 loss: 1.5819 2022/06/28 10:23:22 - mmengine - INFO - Epoch(train) [45][3200/3757] lr: 1.000e-03 eta: 15:16:59 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.7882 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2795 loss: 1.2795 2022/06/28 10:23:28 - mmengine - INFO - Epoch(train) [45][3220/3757] lr: 1.000e-03 eta: 15:16:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.4967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6879 loss: 1.6879 2022/06/28 10:23:33 - mmengine - INFO - Epoch(train) [45][3240/3757] lr: 1.000e-03 eta: 15:16:49 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 5.6961 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3547 loss: 1.3547 2022/06/28 10:23:37 - mmengine - INFO - Epoch(train) [45][3260/3757] lr: 1.000e-03 eta: 15:16:42 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.1089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6476 loss: 1.6476 2022/06/28 10:23:43 - mmengine - INFO - Epoch(train) [45][3280/3757] lr: 1.000e-03 eta: 15:16:38 time: 0.299 data_time: 0.007 memory: 5150 grad_norm: 5.7019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/06/28 10:23:49 - mmengine - INFO - Epoch(train) [45][3300/3757] lr: 1.000e-03 eta: 15:16:33 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 6.2010 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3901 loss: 1.3901 2022/06/28 10:23:54 - mmengine - INFO - Epoch(train) [45][3320/3757] lr: 1.000e-03 eta: 15:16:27 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3595 loss: 1.3595 2022/06/28 10:23:59 - mmengine - INFO - Epoch(train) [45][3340/3757] lr: 1.000e-03 eta: 15:16:22 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4023 loss: 1.4023 2022/06/28 10:24:05 - mmengine - INFO - Epoch(train) [45][3360/3757] lr: 1.000e-03 eta: 15:16:17 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.5867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7693 loss: 1.7693 2022/06/28 10:24:10 - mmengine - INFO - Epoch(train) [45][3380/3757] lr: 1.000e-03 eta: 15:16:11 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 5.5132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2972 loss: 1.2972 2022/06/28 10:24:15 - mmengine - INFO - Epoch(train) [45][3400/3757] lr: 1.000e-03 eta: 15:16:06 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.9076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6802 loss: 1.6802 2022/06/28 10:24:21 - mmengine - INFO - Epoch(train) [45][3420/3757] lr: 1.000e-03 eta: 15:16:01 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.3085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/06/28 10:24:26 - mmengine - INFO - Epoch(train) [45][3440/3757] lr: 1.000e-03 eta: 15:15:55 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4127 loss: 1.4127 2022/06/28 10:24:32 - mmengine - INFO - Epoch(train) [45][3460/3757] lr: 1.000e-03 eta: 15:15:50 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.3186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/06/28 10:24:38 - mmengine - INFO - Epoch(train) [45][3480/3757] lr: 1.000e-03 eta: 15:15:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.9514 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5350 loss: 1.5350 2022/06/28 10:24:42 - mmengine - INFO - Epoch(train) [45][3500/3757] lr: 1.000e-03 eta: 15:15:40 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.4760 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6451 loss: 1.6451 2022/06/28 10:24:47 - mmengine - INFO - Epoch(train) [45][3520/3757] lr: 1.000e-03 eta: 15:15:34 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 5.8342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/06/28 10:24:53 - mmengine - INFO - Epoch(train) [45][3540/3757] lr: 1.000e-03 eta: 15:15:30 time: 0.205 data_time: 0.026 memory: 5150 grad_norm: 7.2942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5096 loss: 1.5096 2022/06/28 10:24:58 - mmengine - INFO - Epoch(train) [45][3560/3757] lr: 1.000e-03 eta: 15:15:24 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.4132 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.7214 loss: 1.7214 2022/06/28 10:25:04 - mmengine - INFO - Epoch(train) [45][3580/3757] lr: 1.000e-03 eta: 15:15:19 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.3060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4423 loss: 1.4423 2022/06/28 10:25:09 - mmengine - INFO - Epoch(train) [45][3600/3757] lr: 1.000e-03 eta: 15:15:14 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 5.5178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9550 loss: 1.9550 2022/06/28 10:25:14 - mmengine - INFO - Epoch(train) [45][3620/3757] lr: 1.000e-03 eta: 15:15:08 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.1010 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2029 loss: 1.2029 2022/06/28 10:25:20 - mmengine - INFO - Epoch(train) [45][3640/3757] lr: 1.000e-03 eta: 15:15:03 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.4925 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2795 loss: 1.2795 2022/06/28 10:25:25 - mmengine - INFO - Epoch(train) [45][3660/3757] lr: 1.000e-03 eta: 15:14:58 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 6.6884 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5467 loss: 1.5467 2022/06/28 10:25:30 - mmengine - INFO - Epoch(train) [45][3680/3757] lr: 1.000e-03 eta: 15:14:52 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 7.1515 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4303 loss: 1.4303 2022/06/28 10:25:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:25:36 - mmengine - INFO - Epoch(train) [45][3700/3757] lr: 1.000e-03 eta: 15:14:47 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 6.9174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0403 loss: 1.0403 2022/06/28 10:25:41 - mmengine - INFO - Epoch(train) [45][3720/3757] lr: 1.000e-03 eta: 15:14:42 time: 0.204 data_time: 0.029 memory: 5150 grad_norm: 6.0634 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8889 loss: 1.8889 2022/06/28 10:25:46 - mmengine - INFO - Epoch(train) [45][3740/3757] lr: 1.000e-03 eta: 15:14:36 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5369 loss: 1.5369 2022/06/28 10:25:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:25:49 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/06/28 10:26:24 - mmengine - INFO - Epoch(val) [45][20/310] eta: 0:05:15 time: 0.979 data_time: 0.317 memory: 9746 2022/06/28 10:26:47 - mmengine - INFO - Epoch(val) [45][40/310] eta: 0:04:51 time: 1.067 data_time: 0.409 memory: 9746 2022/06/28 10:27:11 - mmengine - INFO - Epoch(val) [45][60/310] eta: 0:04:18 time: 1.122 data_time: 0.475 memory: 9746 2022/06/28 10:27:34 - mmengine - INFO - Epoch(val) [45][80/310] eta: 0:04:56 time: 1.014 data_time: 0.376 memory: 9746 2022/06/28 10:27:57 - mmengine - INFO - Epoch(val) [45][100/310] eta: 0:04:15 time: 2.592 data_time: 1.924 memory: 9746 2022/06/28 10:28:19 - mmengine - INFO - Epoch(val) [45][120/310] eta: 0:03:24 time: 1.077 data_time: 0.434 memory: 9746 2022/06/28 10:28:42 - mmengine - INFO - Epoch(val) [45][140/310] eta: 0:03:15 time: 1.060 data_time: 0.418 memory: 9746 2022/06/28 10:29:07 - mmengine - INFO - Epoch(val) [45][160/310] eta: 0:03:16 time: 3.647 data_time: 2.957 memory: 9746 2022/06/28 10:29:31 - mmengine - INFO - Epoch(val) [45][180/310] eta: 0:02:52 time: 0.908 data_time: 0.269 memory: 9746 2022/06/28 10:29:53 - mmengine - INFO - Epoch(val) [45][200/310] eta: 0:02:10 time: 1.107 data_time: 0.471 memory: 9746 2022/06/28 10:30:14 - mmengine - INFO - Epoch(val) [45][220/310] eta: 0:01:35 time: 0.943 data_time: 0.304 memory: 9746 2022/06/28 10:30:36 - mmengine - INFO - Epoch(val) [45][240/310] eta: 0:01:15 time: 1.036 data_time: 0.393 memory: 9746 2022/06/28 10:30:59 - mmengine - INFO - Epoch(val) [45][260/310] eta: 0:00:57 time: 1.087 data_time: 0.462 memory: 9746 2022/06/28 10:31:23 - mmengine - INFO - Epoch(val) [45][280/310] eta: 0:00:34 time: 2.113 data_time: 1.473 memory: 9746 2022/06/28 10:31:41 - mmengine - INFO - Epoch(val) [45][300/310] eta: 0:00:07 time: 0.634 data_time: 0.070 memory: 9746 2022/06/28 10:31:51 - mmengine - INFO - Epoch(val) [45][310/310] acc/top1: 0.6922 acc/top5: 0.8904 acc/mean1: 0.6921 2022/06/28 10:31:59 - mmengine - INFO - Epoch(train) [46][20/3757] lr: 1.000e-03 eta: 15:14:27 time: 0.203 data_time: 0.015 memory: 9746 grad_norm: 6.3511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3670 loss: 1.3670 2022/06/28 10:32:05 - mmengine - INFO - Epoch(train) [46][40/3757] lr: 1.000e-03 eta: 15:14:22 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.3055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/06/28 10:32:10 - mmengine - INFO - Epoch(train) [46][60/3757] lr: 1.000e-03 eta: 15:14:16 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.6769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6473 loss: 1.6473 2022/06/28 10:32:16 - mmengine - INFO - Epoch(train) [46][80/3757] lr: 1.000e-03 eta: 15:14:12 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.0528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6343 loss: 1.6343 2022/06/28 10:32:22 - mmengine - INFO - Epoch(train) [46][100/3757] lr: 1.000e-03 eta: 15:14:07 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 6.2564 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4155 loss: 1.4155 2022/06/28 10:32:27 - mmengine - INFO - Epoch(train) [46][120/3757] lr: 1.000e-03 eta: 15:14:01 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.1283 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8522 loss: 1.8522 2022/06/28 10:32:32 - mmengine - INFO - Epoch(train) [46][140/3757] lr: 1.000e-03 eta: 15:13:56 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3235 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0378 loss: 1.0378 2022/06/28 10:32:38 - mmengine - INFO - Epoch(train) [46][160/3757] lr: 1.000e-03 eta: 15:13:51 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.9900 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1889 loss: 1.1889 2022/06/28 10:32:43 - mmengine - INFO - Epoch(train) [46][180/3757] lr: 1.000e-03 eta: 15:13:45 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.9355 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.7128 loss: 1.7128 2022/06/28 10:32:48 - mmengine - INFO - Epoch(train) [46][200/3757] lr: 1.000e-03 eta: 15:13:40 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.7742 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/06/28 10:32:54 - mmengine - INFO - Epoch(train) [46][220/3757] lr: 1.000e-03 eta: 15:13:35 time: 0.209 data_time: 0.018 memory: 5150 grad_norm: 5.9228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5797 loss: 1.5797 2022/06/28 10:32:59 - mmengine - INFO - Epoch(train) [46][240/3757] lr: 1.000e-03 eta: 15:13:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4012 loss: 1.4012 2022/06/28 10:33:04 - mmengine - INFO - Epoch(train) [46][260/3757] lr: 1.000e-03 eta: 15:13:24 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 5.5383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8301 loss: 1.8301 2022/06/28 10:33:10 - mmengine - INFO - Epoch(train) [46][280/3757] lr: 1.000e-03 eta: 15:13:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6993 loss: 1.6993 2022/06/28 10:33:15 - mmengine - INFO - Epoch(train) [46][300/3757] lr: 1.000e-03 eta: 15:13:14 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.1432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7218 loss: 1.7218 2022/06/28 10:33:20 - mmengine - INFO - Epoch(train) [46][320/3757] lr: 1.000e-03 eta: 15:13:09 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 5.6082 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/06/28 10:33:26 - mmengine - INFO - Epoch(train) [46][340/3757] lr: 1.000e-03 eta: 15:13:04 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4341 loss: 1.4341 2022/06/28 10:33:31 - mmengine - INFO - Epoch(train) [46][360/3757] lr: 1.000e-03 eta: 15:12:58 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0640 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6690 loss: 1.6690 2022/06/28 10:33:37 - mmengine - INFO - Epoch(train) [46][380/3757] lr: 1.000e-03 eta: 15:12:53 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 6.2062 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4805 loss: 1.4805 2022/06/28 10:33:41 - mmengine - INFO - Epoch(train) [46][400/3757] lr: 1.000e-03 eta: 15:12:47 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 5.8296 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5039 loss: 1.5039 2022/06/28 10:33:47 - mmengine - INFO - Epoch(train) [46][420/3757] lr: 1.000e-03 eta: 15:12:41 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 4.5476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1897 loss: 1.1897 2022/06/28 10:33:52 - mmengine - INFO - Epoch(train) [46][440/3757] lr: 1.000e-03 eta: 15:12:37 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.4474 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0848 loss: 2.0848 2022/06/28 10:33:58 - mmengine - INFO - Epoch(train) [46][460/3757] lr: 1.000e-03 eta: 15:12:32 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.7118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7258 loss: 1.7258 2022/06/28 10:34:03 - mmengine - INFO - Epoch(train) [46][480/3757] lr: 1.000e-03 eta: 15:12:26 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.6353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/06/28 10:34:08 - mmengine - INFO - Epoch(train) [46][500/3757] lr: 1.000e-03 eta: 15:12:21 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.2091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2706 loss: 1.2706 2022/06/28 10:34:14 - mmengine - INFO - Epoch(train) [46][520/3757] lr: 1.000e-03 eta: 15:12:16 time: 0.493 data_time: 0.011 memory: 5150 grad_norm: 6.1906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6355 loss: 1.6355 2022/06/28 10:34:19 - mmengine - INFO - Epoch(train) [46][540/3757] lr: 1.000e-03 eta: 15:12:10 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 6.1024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3331 loss: 1.3331 2022/06/28 10:34:25 - mmengine - INFO - Epoch(train) [46][560/3757] lr: 1.000e-03 eta: 15:12:05 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.4493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1878 loss: 1.1878 2022/06/28 10:34:30 - mmengine - INFO - Epoch(train) [46][580/3757] lr: 1.000e-03 eta: 15:12:00 time: 0.959 data_time: 0.007 memory: 5150 grad_norm: 5.4538 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1681 loss: 1.1681 2022/06/28 10:34:35 - mmengine - INFO - Epoch(train) [46][600/3757] lr: 1.000e-03 eta: 15:11:54 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3426 loss: 1.3426 2022/06/28 10:34:40 - mmengine - INFO - Epoch(train) [46][620/3757] lr: 1.000e-03 eta: 15:11:49 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.3242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5964 loss: 1.5964 2022/06/28 10:34:45 - mmengine - INFO - Epoch(train) [46][640/3757] lr: 1.000e-03 eta: 15:11:43 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 5.2876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6595 loss: 1.6595 2022/06/28 10:34:51 - mmengine - INFO - Epoch(train) [46][660/3757] lr: 1.000e-03 eta: 15:11:38 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.3962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/06/28 10:34:57 - mmengine - INFO - Epoch(train) [46][680/3757] lr: 1.000e-03 eta: 15:11:34 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.9515 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5597 loss: 1.5597 2022/06/28 10:35:02 - mmengine - INFO - Epoch(train) [46][700/3757] lr: 1.000e-03 eta: 15:11:28 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.7741 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4679 loss: 1.4679 2022/06/28 10:35:07 - mmengine - INFO - Epoch(train) [46][720/3757] lr: 1.000e-03 eta: 15:11:23 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.5257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7249 loss: 1.7249 2022/06/28 10:35:13 - mmengine - INFO - Epoch(train) [46][740/3757] lr: 1.000e-03 eta: 15:11:18 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 5.6823 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4029 loss: 1.4029 2022/06/28 10:35:17 - mmengine - INFO - Epoch(train) [46][760/3757] lr: 1.000e-03 eta: 15:11:12 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.1969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3146 loss: 1.3146 2022/06/28 10:35:23 - mmengine - INFO - Epoch(train) [46][780/3757] lr: 1.000e-03 eta: 15:11:07 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.9865 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/06/28 10:35:28 - mmengine - INFO - Epoch(train) [46][800/3757] lr: 1.000e-03 eta: 15:11:02 time: 0.224 data_time: 0.011 memory: 5150 grad_norm: 6.8019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6690 loss: 1.6690 2022/06/28 10:35:33 - mmengine - INFO - Epoch(train) [46][820/3757] lr: 1.000e-03 eta: 15:10:55 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.7582 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/06/28 10:35:39 - mmengine - INFO - Epoch(train) [46][840/3757] lr: 1.000e-03 eta: 15:10:50 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.1384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7728 loss: 1.7728 2022/06/28 10:35:44 - mmengine - INFO - Epoch(train) [46][860/3757] lr: 1.000e-03 eta: 15:10:46 time: 0.199 data_time: 0.006 memory: 5150 grad_norm: 6.4296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8647 loss: 1.8647 2022/06/28 10:35:50 - mmengine - INFO - Epoch(train) [46][880/3757] lr: 1.000e-03 eta: 15:10:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7937 loss: 1.7937 2022/06/28 10:35:55 - mmengine - INFO - Epoch(train) [46][900/3757] lr: 1.000e-03 eta: 15:10:35 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.3002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3747 loss: 1.3747 2022/06/28 10:36:00 - mmengine - INFO - Epoch(train) [46][920/3757] lr: 1.000e-03 eta: 15:10:30 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3319 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7746 loss: 1.7746 2022/06/28 10:36:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:36:06 - mmengine - INFO - Epoch(train) [46][940/3757] lr: 1.000e-03 eta: 15:10:25 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.9797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5977 loss: 1.5977 2022/06/28 10:36:11 - mmengine - INFO - Epoch(train) [46][960/3757] lr: 1.000e-03 eta: 15:10:19 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.3956 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/06/28 10:36:16 - mmengine - INFO - Epoch(train) [46][980/3757] lr: 1.000e-03 eta: 15:10:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.5503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6905 loss: 1.6905 2022/06/28 10:36:22 - mmengine - INFO - Epoch(train) [46][1000/3757] lr: 1.000e-03 eta: 15:10:09 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.3537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/06/28 10:36:27 - mmengine - INFO - Epoch(train) [46][1020/3757] lr: 1.000e-03 eta: 15:10:03 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 7.3516 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4299 loss: 1.4299 2022/06/28 10:36:33 - mmengine - INFO - Epoch(train) [46][1040/3757] lr: 1.000e-03 eta: 15:09:58 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.0381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0100 loss: 2.0100 2022/06/28 10:36:38 - mmengine - INFO - Epoch(train) [46][1060/3757] lr: 1.000e-03 eta: 15:09:53 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7793 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3889 loss: 1.3889 2022/06/28 10:36:43 - mmengine - INFO - Epoch(train) [46][1080/3757] lr: 1.000e-03 eta: 15:09:47 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 5.2693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6871 loss: 1.6871 2022/06/28 10:36:49 - mmengine - INFO - Epoch(train) [46][1100/3757] lr: 1.000e-03 eta: 15:09:42 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.5627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4929 loss: 1.4929 2022/06/28 10:36:54 - mmengine - INFO - Epoch(train) [46][1120/3757] lr: 1.000e-03 eta: 15:09:37 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 6.4680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4408 loss: 1.4408 2022/06/28 10:36:59 - mmengine - INFO - Epoch(train) [46][1140/3757] lr: 1.000e-03 eta: 15:09:31 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.0664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/06/28 10:37:05 - mmengine - INFO - Epoch(train) [46][1160/3757] lr: 1.000e-03 eta: 15:09:26 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.1695 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3010 loss: 1.3010 2022/06/28 10:37:10 - mmengine - INFO - Epoch(train) [46][1180/3757] lr: 1.000e-03 eta: 15:09:21 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.9576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6535 loss: 1.6535 2022/06/28 10:37:16 - mmengine - INFO - Epoch(train) [46][1200/3757] lr: 1.000e-03 eta: 15:09:17 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 6.8330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4047 loss: 1.4047 2022/06/28 10:37:20 - mmengine - INFO - Epoch(train) [46][1220/3757] lr: 1.000e-03 eta: 15:09:10 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.8299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4249 loss: 1.4249 2022/06/28 10:37:25 - mmengine - INFO - Epoch(train) [46][1240/3757] lr: 1.000e-03 eta: 15:09:04 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.5025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/06/28 10:37:31 - mmengine - INFO - Epoch(train) [46][1260/3757] lr: 1.000e-03 eta: 15:08:59 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.1146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0481 loss: 1.0481 2022/06/28 10:37:36 - mmengine - INFO - Epoch(train) [46][1280/3757] lr: 1.000e-03 eta: 15:08:54 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 7.1291 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4033 loss: 1.4033 2022/06/28 10:37:41 - mmengine - INFO - Epoch(train) [46][1300/3757] lr: 1.000e-03 eta: 15:08:48 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 6.2573 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3324 loss: 1.3324 2022/06/28 10:37:47 - mmengine - INFO - Epoch(train) [46][1320/3757] lr: 1.000e-03 eta: 15:08:44 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.5487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1388 loss: 1.1388 2022/06/28 10:37:52 - mmengine - INFO - Epoch(train) [46][1340/3757] lr: 1.000e-03 eta: 15:08:38 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/06/28 10:37:57 - mmengine - INFO - Epoch(train) [46][1360/3757] lr: 1.000e-03 eta: 15:08:33 time: 0.227 data_time: 0.015 memory: 5150 grad_norm: 5.1703 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3372 loss: 1.3372 2022/06/28 10:38:03 - mmengine - INFO - Epoch(train) [46][1380/3757] lr: 1.000e-03 eta: 15:08:28 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 5.8963 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2753 loss: 1.2753 2022/06/28 10:38:09 - mmengine - INFO - Epoch(train) [46][1400/3757] lr: 1.000e-03 eta: 15:08:23 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.4661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6895 loss: 1.6895 2022/06/28 10:38:14 - mmengine - INFO - Epoch(train) [46][1420/3757] lr: 1.000e-03 eta: 15:08:17 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.0829 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2401 loss: 1.2401 2022/06/28 10:38:19 - mmengine - INFO - Epoch(train) [46][1440/3757] lr: 1.000e-03 eta: 15:08:11 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.9020 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3739 loss: 1.3739 2022/06/28 10:38:24 - mmengine - INFO - Epoch(train) [46][1460/3757] lr: 1.000e-03 eta: 15:08:06 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 6.2875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3771 loss: 1.3771 2022/06/28 10:38:29 - mmengine - INFO - Epoch(train) [46][1480/3757] lr: 1.000e-03 eta: 15:08:00 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.2718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3824 loss: 1.3824 2022/06/28 10:38:34 - mmengine - INFO - Epoch(train) [46][1500/3757] lr: 1.000e-03 eta: 15:07:55 time: 0.305 data_time: 0.010 memory: 5150 grad_norm: 6.7013 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4725 loss: 1.4725 2022/06/28 10:38:40 - mmengine - INFO - Epoch(train) [46][1520/3757] lr: 1.000e-03 eta: 15:07:50 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/06/28 10:38:45 - mmengine - INFO - Epoch(train) [46][1540/3757] lr: 1.000e-03 eta: 15:07:44 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 5.7371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7481 loss: 1.7481 2022/06/28 10:38:50 - mmengine - INFO - Epoch(train) [46][1560/3757] lr: 1.000e-03 eta: 15:07:38 time: 0.333 data_time: 0.007 memory: 5150 grad_norm: 5.4760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4334 loss: 1.4334 2022/06/28 10:38:56 - mmengine - INFO - Epoch(train) [46][1580/3757] lr: 1.000e-03 eta: 15:07:34 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.0197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6893 loss: 1.6893 2022/06/28 10:39:00 - mmengine - INFO - Epoch(train) [46][1600/3757] lr: 1.000e-03 eta: 15:07:28 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 7.1470 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6718 loss: 1.6718 2022/06/28 10:39:06 - mmengine - INFO - Epoch(train) [46][1620/3757] lr: 1.000e-03 eta: 15:07:23 time: 0.539 data_time: 0.008 memory: 5150 grad_norm: 5.9178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6121 loss: 1.6121 2022/06/28 10:39:11 - mmengine - INFO - Epoch(train) [46][1640/3757] lr: 1.000e-03 eta: 15:07:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5614 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6354 loss: 1.6354 2022/06/28 10:39:16 - mmengine - INFO - Epoch(train) [46][1660/3757] lr: 1.000e-03 eta: 15:07:12 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 6.7225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5326 loss: 1.5326 2022/06/28 10:39:22 - mmengine - INFO - Epoch(train) [46][1680/3757] lr: 1.000e-03 eta: 15:07:07 time: 0.580 data_time: 0.007 memory: 5150 grad_norm: 6.4600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6410 loss: 1.6410 2022/06/28 10:39:27 - mmengine - INFO - Epoch(train) [46][1700/3757] lr: 1.000e-03 eta: 15:07:01 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.4790 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7389 loss: 1.7389 2022/06/28 10:39:32 - mmengine - INFO - Epoch(train) [46][1720/3757] lr: 1.000e-03 eta: 15:06:56 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.7437 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4009 loss: 1.4009 2022/06/28 10:39:37 - mmengine - INFO - Epoch(train) [46][1740/3757] lr: 1.000e-03 eta: 15:06:50 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.5493 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4059 loss: 1.4059 2022/06/28 10:39:43 - mmengine - INFO - Epoch(train) [46][1760/3757] lr: 1.000e-03 eta: 15:06:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.6782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2666 loss: 2.2666 2022/06/28 10:39:48 - mmengine - INFO - Epoch(train) [46][1780/3757] lr: 1.000e-03 eta: 15:06:40 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2417 loss: 1.2417 2022/06/28 10:39:53 - mmengine - INFO - Epoch(train) [46][1800/3757] lr: 1.000e-03 eta: 15:06:34 time: 0.352 data_time: 0.007 memory: 5150 grad_norm: 5.4885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4815 loss: 1.4815 2022/06/28 10:39:58 - mmengine - INFO - Epoch(train) [46][1820/3757] lr: 1.000e-03 eta: 15:06:29 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2239 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4679 loss: 1.4679 2022/06/28 10:40:03 - mmengine - INFO - Epoch(train) [46][1840/3757] lr: 1.000e-03 eta: 15:06:23 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 6.7844 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6600 loss: 1.6600 2022/06/28 10:40:09 - mmengine - INFO - Epoch(train) [46][1860/3757] lr: 1.000e-03 eta: 15:06:18 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.5904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/06/28 10:40:14 - mmengine - INFO - Epoch(train) [46][1880/3757] lr: 1.000e-03 eta: 15:06:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.6053 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8938 loss: 1.8938 2022/06/28 10:40:20 - mmengine - INFO - Epoch(train) [46][1900/3757] lr: 1.000e-03 eta: 15:06:08 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 6.3590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3110 loss: 1.3110 2022/06/28 10:40:26 - mmengine - INFO - Epoch(train) [46][1920/3757] lr: 1.000e-03 eta: 15:06:03 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 6.7688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4177 loss: 1.4177 2022/06/28 10:40:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:40:30 - mmengine - INFO - Epoch(train) [46][1940/3757] lr: 1.000e-03 eta: 15:05:57 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.8691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4438 loss: 1.4438 2022/06/28 10:40:35 - mmengine - INFO - Epoch(train) [46][1960/3757] lr: 1.000e-03 eta: 15:05:51 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 6.8276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9649 loss: 1.9649 2022/06/28 10:40:41 - mmengine - INFO - Epoch(train) [46][1980/3757] lr: 1.000e-03 eta: 15:05:46 time: 0.397 data_time: 0.007 memory: 5150 grad_norm: 5.8336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/06/28 10:40:46 - mmengine - INFO - Epoch(train) [46][2000/3757] lr: 1.000e-03 eta: 15:05:40 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.2524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2334 loss: 1.2334 2022/06/28 10:40:51 - mmengine - INFO - Epoch(train) [46][2020/3757] lr: 1.000e-03 eta: 15:05:35 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.8274 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3298 loss: 1.3298 2022/06/28 10:40:57 - mmengine - INFO - Epoch(train) [46][2040/3757] lr: 1.000e-03 eta: 15:05:30 time: 0.856 data_time: 0.008 memory: 5150 grad_norm: 6.6930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6163 loss: 1.6163 2022/06/28 10:41:02 - mmengine - INFO - Epoch(train) [46][2060/3757] lr: 1.000e-03 eta: 15:05:24 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 5.9897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2423 loss: 1.2423 2022/06/28 10:41:07 - mmengine - INFO - Epoch(train) [46][2080/3757] lr: 1.000e-03 eta: 15:05:19 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.9026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/06/28 10:41:13 - mmengine - INFO - Epoch(train) [46][2100/3757] lr: 1.000e-03 eta: 15:05:14 time: 0.473 data_time: 0.009 memory: 5150 grad_norm: 7.2060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6149 loss: 1.6149 2022/06/28 10:41:18 - mmengine - INFO - Epoch(train) [46][2120/3757] lr: 1.000e-03 eta: 15:05:09 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.6684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4381 loss: 1.4381 2022/06/28 10:41:23 - mmengine - INFO - Epoch(train) [46][2140/3757] lr: 1.000e-03 eta: 15:05:03 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.8451 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2553 loss: 1.2553 2022/06/28 10:41:29 - mmengine - INFO - Epoch(train) [46][2160/3757] lr: 1.000e-03 eta: 15:04:59 time: 0.719 data_time: 0.007 memory: 5150 grad_norm: 6.7089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5657 loss: 1.5657 2022/06/28 10:41:34 - mmengine - INFO - Epoch(train) [46][2180/3757] lr: 1.000e-03 eta: 15:04:53 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.3342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1838 loss: 1.1838 2022/06/28 10:41:39 - mmengine - INFO - Epoch(train) [46][2200/3757] lr: 1.000e-03 eta: 15:04:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6196 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4403 loss: 1.4403 2022/06/28 10:41:45 - mmengine - INFO - Epoch(train) [46][2220/3757] lr: 1.000e-03 eta: 15:04:43 time: 0.870 data_time: 0.008 memory: 5150 grad_norm: 6.0487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/06/28 10:41:50 - mmengine - INFO - Epoch(train) [46][2240/3757] lr: 1.000e-03 eta: 15:04:37 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 4.7822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2438 loss: 1.2438 2022/06/28 10:41:55 - mmengine - INFO - Epoch(train) [46][2260/3757] lr: 1.000e-03 eta: 15:04:32 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.6343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5550 loss: 1.5550 2022/06/28 10:42:01 - mmengine - INFO - Epoch(train) [46][2280/3757] lr: 1.000e-03 eta: 15:04:27 time: 0.655 data_time: 0.007 memory: 5150 grad_norm: 6.1920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3819 loss: 1.3819 2022/06/28 10:42:06 - mmengine - INFO - Epoch(train) [46][2300/3757] lr: 1.000e-03 eta: 15:04:21 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.8056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1430 loss: 1.1430 2022/06/28 10:42:11 - mmengine - INFO - Epoch(train) [46][2320/3757] lr: 1.000e-03 eta: 15:04:16 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 6.9340 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6622 loss: 1.6622 2022/06/28 10:42:17 - mmengine - INFO - Epoch(train) [46][2340/3757] lr: 1.000e-03 eta: 15:04:11 time: 0.902 data_time: 0.007 memory: 5150 grad_norm: 7.0532 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5619 loss: 1.5619 2022/06/28 10:42:22 - mmengine - INFO - Epoch(train) [46][2360/3757] lr: 1.000e-03 eta: 15:04:06 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.3265 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5767 loss: 1.5767 2022/06/28 10:42:27 - mmengine - INFO - Epoch(train) [46][2380/3757] lr: 1.000e-03 eta: 15:04:00 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.2554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2631 loss: 1.2631 2022/06/28 10:42:33 - mmengine - INFO - Epoch(train) [46][2400/3757] lr: 1.000e-03 eta: 15:03:55 time: 0.836 data_time: 0.011 memory: 5150 grad_norm: 6.5429 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8698 loss: 1.8698 2022/06/28 10:42:38 - mmengine - INFO - Epoch(train) [46][2420/3757] lr: 1.000e-03 eta: 15:03:49 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.6742 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9137 loss: 1.9137 2022/06/28 10:42:44 - mmengine - INFO - Epoch(train) [46][2440/3757] lr: 1.000e-03 eta: 15:03:44 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 6.4521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/06/28 10:42:49 - mmengine - INFO - Epoch(train) [46][2460/3757] lr: 1.000e-03 eta: 15:03:39 time: 0.809 data_time: 0.009 memory: 5150 grad_norm: 5.9340 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2673 loss: 1.2673 2022/06/28 10:42:54 - mmengine - INFO - Epoch(train) [46][2480/3757] lr: 1.000e-03 eta: 15:03:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.3594 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/06/28 10:42:59 - mmengine - INFO - Epoch(train) [46][2500/3757] lr: 1.000e-03 eta: 15:03:28 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.1057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4210 loss: 1.4210 2022/06/28 10:43:05 - mmengine - INFO - Epoch(train) [46][2520/3757] lr: 1.000e-03 eta: 15:03:23 time: 1.388 data_time: 0.007 memory: 5150 grad_norm: 5.9776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5252 loss: 1.5252 2022/06/28 10:43:10 - mmengine - INFO - Epoch(train) [46][2540/3757] lr: 1.000e-03 eta: 15:03:18 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.3932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6611 loss: 1.6611 2022/06/28 10:43:16 - mmengine - INFO - Epoch(train) [46][2560/3757] lr: 1.000e-03 eta: 15:03:13 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 5.4260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/06/28 10:43:21 - mmengine - INFO - Epoch(train) [46][2580/3757] lr: 1.000e-03 eta: 15:03:07 time: 0.800 data_time: 0.009 memory: 5150 grad_norm: 6.5469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6037 loss: 1.6037 2022/06/28 10:43:26 - mmengine - INFO - Epoch(train) [46][2600/3757] lr: 1.000e-03 eta: 15:03:02 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.6732 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4811 loss: 1.4811 2022/06/28 10:43:32 - mmengine - INFO - Epoch(train) [46][2620/3757] lr: 1.000e-03 eta: 15:02:57 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1654 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8542 loss: 1.8542 2022/06/28 10:43:37 - mmengine - INFO - Epoch(train) [46][2640/3757] lr: 1.000e-03 eta: 15:02:52 time: 0.954 data_time: 0.010 memory: 5150 grad_norm: 6.2767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4567 loss: 1.4567 2022/06/28 10:43:42 - mmengine - INFO - Epoch(train) [46][2660/3757] lr: 1.000e-03 eta: 15:02:46 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.9207 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4783 loss: 1.4783 2022/06/28 10:43:48 - mmengine - INFO - Epoch(train) [46][2680/3757] lr: 1.000e-03 eta: 15:02:41 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.2232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/06/28 10:43:53 - mmengine - INFO - Epoch(train) [46][2700/3757] lr: 1.000e-03 eta: 15:02:36 time: 0.910 data_time: 0.007 memory: 5150 grad_norm: 5.8877 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8159 loss: 1.8159 2022/06/28 10:43:58 - mmengine - INFO - Epoch(train) [46][2720/3757] lr: 1.000e-03 eta: 15:02:30 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.8755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0958 loss: 1.0958 2022/06/28 10:44:04 - mmengine - INFO - Epoch(train) [46][2740/3757] lr: 1.000e-03 eta: 15:02:25 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 6.3544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4858 loss: 1.4858 2022/06/28 10:44:09 - mmengine - INFO - Epoch(train) [46][2760/3757] lr: 1.000e-03 eta: 15:02:20 time: 1.071 data_time: 0.007 memory: 5150 grad_norm: 5.6139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7589 loss: 1.7589 2022/06/28 10:44:14 - mmengine - INFO - Epoch(train) [46][2780/3757] lr: 1.000e-03 eta: 15:02:14 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7569 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/06/28 10:44:20 - mmengine - INFO - Epoch(train) [46][2800/3757] lr: 1.000e-03 eta: 15:02:09 time: 0.487 data_time: 0.007 memory: 5150 grad_norm: 5.8067 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.1881 loss: 1.1881 2022/06/28 10:44:25 - mmengine - INFO - Epoch(train) [46][2820/3757] lr: 1.000e-03 eta: 15:02:04 time: 1.018 data_time: 0.006 memory: 5150 grad_norm: 5.6313 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9344 loss: 1.9344 2022/06/28 10:44:30 - mmengine - INFO - Epoch(train) [46][2840/3757] lr: 1.000e-03 eta: 15:01:58 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.5523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6097 loss: 1.6097 2022/06/28 10:44:36 - mmengine - INFO - Epoch(train) [46][2860/3757] lr: 1.000e-03 eta: 15:01:53 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.3324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3272 loss: 1.3272 2022/06/28 10:44:42 - mmengine - INFO - Epoch(train) [46][2880/3757] lr: 1.000e-03 eta: 15:01:48 time: 1.076 data_time: 0.007 memory: 5150 grad_norm: 6.5988 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6910 loss: 1.6910 2022/06/28 10:44:46 - mmengine - INFO - Epoch(train) [46][2900/3757] lr: 1.000e-03 eta: 15:01:42 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.9736 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4526 loss: 1.4526 2022/06/28 10:44:52 - mmengine - INFO - Epoch(train) [46][2920/3757] lr: 1.000e-03 eta: 15:01:38 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 4.5278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1353 loss: 1.1353 2022/06/28 10:44:55 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:44:57 - mmengine - INFO - Epoch(train) [46][2940/3757] lr: 1.000e-03 eta: 15:01:32 time: 0.890 data_time: 0.007 memory: 5150 grad_norm: 5.6903 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5717 loss: 1.5717 2022/06/28 10:45:02 - mmengine - INFO - Epoch(train) [46][2960/3757] lr: 1.000e-03 eta: 15:01:27 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.8584 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4303 loss: 1.4303 2022/06/28 10:45:08 - mmengine - INFO - Epoch(train) [46][2980/3757] lr: 1.000e-03 eta: 15:01:22 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.5557 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0029 loss: 2.0029 2022/06/28 10:45:13 - mmengine - INFO - Epoch(train) [46][3000/3757] lr: 1.000e-03 eta: 15:01:16 time: 0.415 data_time: 0.008 memory: 5150 grad_norm: 5.1290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/06/28 10:45:18 - mmengine - INFO - Epoch(train) [46][3020/3757] lr: 1.000e-03 eta: 15:01:11 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.5830 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5859 loss: 1.5859 2022/06/28 10:45:24 - mmengine - INFO - Epoch(train) [46][3040/3757] lr: 1.000e-03 eta: 15:01:06 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.0518 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7184 loss: 1.7184 2022/06/28 10:45:30 - mmengine - INFO - Epoch(train) [46][3060/3757] lr: 1.000e-03 eta: 15:01:01 time: 0.972 data_time: 0.006 memory: 5150 grad_norm: 5.8998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2666 loss: 1.2666 2022/06/28 10:45:34 - mmengine - INFO - Epoch(train) [46][3080/3757] lr: 1.000e-03 eta: 15:00:55 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.6903 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4407 loss: 1.4407 2022/06/28 10:45:40 - mmengine - INFO - Epoch(train) [46][3100/3757] lr: 1.000e-03 eta: 15:00:50 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.8231 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7577 loss: 1.7577 2022/06/28 10:45:45 - mmengine - INFO - Epoch(train) [46][3120/3757] lr: 1.000e-03 eta: 15:00:45 time: 1.059 data_time: 0.006 memory: 5150 grad_norm: 7.2720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8571 loss: 1.8571 2022/06/28 10:45:50 - mmengine - INFO - Epoch(train) [46][3140/3757] lr: 1.000e-03 eta: 15:00:39 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7037 loss: 1.7037 2022/06/28 10:45:55 - mmengine - INFO - Epoch(train) [46][3160/3757] lr: 1.000e-03 eta: 15:00:33 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4637 loss: 1.4637 2022/06/28 10:46:01 - mmengine - INFO - Epoch(train) [46][3180/3757] lr: 1.000e-03 eta: 15:00:28 time: 0.685 data_time: 0.007 memory: 5150 grad_norm: 5.6735 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5360 loss: 1.5360 2022/06/28 10:46:06 - mmengine - INFO - Epoch(train) [46][3200/3757] lr: 1.000e-03 eta: 15:00:23 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.8190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/06/28 10:46:11 - mmengine - INFO - Epoch(train) [46][3220/3757] lr: 1.000e-03 eta: 15:00:18 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4553 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6748 loss: 1.6748 2022/06/28 10:46:17 - mmengine - INFO - Epoch(train) [46][3240/3757] lr: 1.000e-03 eta: 15:00:12 time: 0.747 data_time: 0.007 memory: 5150 grad_norm: 6.3684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5460 loss: 1.5460 2022/06/28 10:46:22 - mmengine - INFO - Epoch(train) [46][3260/3757] lr: 1.000e-03 eta: 15:00:07 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.2090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6526 loss: 1.6526 2022/06/28 10:46:28 - mmengine - INFO - Epoch(train) [46][3280/3757] lr: 1.000e-03 eta: 15:00:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.6826 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.0796 loss: 2.0796 2022/06/28 10:46:33 - mmengine - INFO - Epoch(train) [46][3300/3757] lr: 1.000e-03 eta: 14:59:56 time: 0.798 data_time: 0.006 memory: 5150 grad_norm: 6.0630 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5820 loss: 1.5820 2022/06/28 10:46:38 - mmengine - INFO - Epoch(train) [46][3320/3757] lr: 1.000e-03 eta: 14:59:51 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.5554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5555 loss: 1.5555 2022/06/28 10:46:43 - mmengine - INFO - Epoch(train) [46][3340/3757] lr: 1.000e-03 eta: 14:59:45 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.7220 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0722 loss: 2.0722 2022/06/28 10:46:49 - mmengine - INFO - Epoch(train) [46][3360/3757] lr: 1.000e-03 eta: 14:59:40 time: 0.223 data_time: 0.006 memory: 5150 grad_norm: 6.2953 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4828 loss: 1.4828 2022/06/28 10:46:54 - mmengine - INFO - Epoch(train) [46][3380/3757] lr: 1.000e-03 eta: 14:59:35 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.3969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3185 loss: 1.3185 2022/06/28 10:47:00 - mmengine - INFO - Epoch(train) [46][3400/3757] lr: 1.000e-03 eta: 14:59:30 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.9690 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4437 loss: 1.4437 2022/06/28 10:47:05 - mmengine - INFO - Epoch(train) [46][3420/3757] lr: 1.000e-03 eta: 14:59:25 time: 0.253 data_time: 0.007 memory: 5150 grad_norm: 6.1758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2633 loss: 1.2633 2022/06/28 10:47:11 - mmengine - INFO - Epoch(train) [46][3440/3757] lr: 1.000e-03 eta: 14:59:20 time: 0.222 data_time: 0.013 memory: 5150 grad_norm: 7.3415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3855 loss: 1.3855 2022/06/28 10:47:16 - mmengine - INFO - Epoch(train) [46][3460/3757] lr: 1.000e-03 eta: 14:59:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.5971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4247 loss: 1.4247 2022/06/28 10:47:22 - mmengine - INFO - Epoch(train) [46][3480/3757] lr: 1.000e-03 eta: 14:59:10 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.3132 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4306 loss: 1.4306 2022/06/28 10:47:27 - mmengine - INFO - Epoch(train) [46][3500/3757] lr: 1.000e-03 eta: 14:59:04 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.5418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/06/28 10:47:31 - mmengine - INFO - Epoch(train) [46][3520/3757] lr: 1.000e-03 eta: 14:58:58 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.5092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4100 loss: 1.4100 2022/06/28 10:47:37 - mmengine - INFO - Epoch(train) [46][3540/3757] lr: 1.000e-03 eta: 14:58:52 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 5.4179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4613 loss: 1.4613 2022/06/28 10:47:43 - mmengine - INFO - Epoch(train) [46][3560/3757] lr: 1.000e-03 eta: 14:58:48 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 5.8115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2730 loss: 1.2730 2022/06/28 10:47:48 - mmengine - INFO - Epoch(train) [46][3580/3757] lr: 1.000e-03 eta: 14:58:42 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.4574 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2407 loss: 1.2407 2022/06/28 10:47:53 - mmengine - INFO - Epoch(train) [46][3600/3757] lr: 1.000e-03 eta: 14:58:37 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 6.4527 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6429 loss: 1.6429 2022/06/28 10:47:58 - mmengine - INFO - Epoch(train) [46][3620/3757] lr: 1.000e-03 eta: 14:58:31 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.9941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5146 loss: 1.5146 2022/06/28 10:48:03 - mmengine - INFO - Epoch(train) [46][3640/3757] lr: 1.000e-03 eta: 14:58:25 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7877 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/06/28 10:48:09 - mmengine - INFO - Epoch(train) [46][3660/3757] lr: 1.000e-03 eta: 14:58:21 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 4.8540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/06/28 10:48:15 - mmengine - INFO - Epoch(train) [46][3680/3757] lr: 1.000e-03 eta: 14:58:16 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.1616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/06/28 10:48:19 - mmengine - INFO - Epoch(train) [46][3700/3757] lr: 1.000e-03 eta: 14:58:10 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 5.6457 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9664 loss: 1.9664 2022/06/28 10:48:25 - mmengine - INFO - Epoch(train) [46][3720/3757] lr: 1.000e-03 eta: 14:58:05 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.3804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2519 loss: 1.2519 2022/06/28 10:48:30 - mmengine - INFO - Epoch(train) [46][3740/3757] lr: 1.000e-03 eta: 14:58:00 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.6907 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/06/28 10:48:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:49:06 - mmengine - INFO - Epoch(val) [46][20/310] eta: 0:05:50 time: 1.175 data_time: 0.529 memory: 9746 2022/06/28 10:49:28 - mmengine - INFO - Epoch(val) [46][40/310] eta: 0:04:55 time: 1.107 data_time: 0.443 memory: 9746 2022/06/28 10:49:52 - mmengine - INFO - Epoch(val) [46][60/310] eta: 0:04:26 time: 1.176 data_time: 0.543 memory: 9746 2022/06/28 10:50:16 - mmengine - INFO - Epoch(val) [46][80/310] eta: 0:04:58 time: 1.060 data_time: 0.404 memory: 9746 2022/06/28 10:50:40 - mmengine - INFO - Epoch(val) [46][100/310] eta: 0:04:11 time: 2.724 data_time: 2.003 memory: 9746 2022/06/28 10:51:00 - mmengine - INFO - Epoch(val) [46][120/310] eta: 0:03:23 time: 1.175 data_time: 0.525 memory: 9746 2022/06/28 10:51:25 - mmengine - INFO - Epoch(val) [46][140/310] eta: 0:03:20 time: 1.055 data_time: 0.402 memory: 9746 2022/06/28 10:51:50 - mmengine - INFO - Epoch(val) [46][160/310] eta: 0:03:19 time: 3.328 data_time: 2.644 memory: 9746 2022/06/28 10:52:13 - mmengine - INFO - Epoch(val) [46][180/310] eta: 0:02:48 time: 1.081 data_time: 0.431 memory: 9746 2022/06/28 10:52:36 - mmengine - INFO - Epoch(val) [46][200/310] eta: 0:02:12 time: 1.323 data_time: 0.653 memory: 9746 2022/06/28 10:52:58 - mmengine - INFO - Epoch(val) [46][220/310] eta: 0:01:37 time: 1.070 data_time: 0.417 memory: 9746 2022/06/28 10:53:19 - mmengine - INFO - Epoch(val) [46][240/310] eta: 0:01:14 time: 1.062 data_time: 0.429 memory: 9746 2022/06/28 10:53:42 - mmengine - INFO - Epoch(val) [46][260/310] eta: 0:00:58 time: 1.078 data_time: 0.423 memory: 9746 2022/06/28 10:54:05 - mmengine - INFO - Epoch(val) [46][280/310] eta: 0:00:34 time: 2.318 data_time: 1.636 memory: 9746 2022/06/28 10:54:24 - mmengine - INFO - Epoch(val) [46][300/310] eta: 0:00:08 time: 0.631 data_time: 0.067 memory: 9746 2022/06/28 10:54:36 - mmengine - INFO - Epoch(val) [46][310/310] acc/top1: 0.6934 acc/top5: 0.8911 acc/mean1: 0.6933 2022/06/28 10:54:45 - mmengine - INFO - Epoch(train) [47][20/3757] lr: 1.000e-03 eta: 14:57:51 time: 0.195 data_time: 0.008 memory: 9746 grad_norm: 7.3305 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5944 loss: 1.5944 2022/06/28 10:54:50 - mmengine - INFO - Epoch(train) [47][40/3757] lr: 1.000e-03 eta: 14:57:46 time: 0.229 data_time: 0.013 memory: 5150 grad_norm: 5.2874 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3310 loss: 1.3310 2022/06/28 10:54:55 - mmengine - INFO - Epoch(train) [47][60/3757] lr: 1.000e-03 eta: 14:57:40 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.9342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2638 loss: 1.2638 2022/06/28 10:55:01 - mmengine - INFO - Epoch(train) [47][80/3757] lr: 1.000e-03 eta: 14:57:35 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1887 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7133 loss: 1.7133 2022/06/28 10:55:08 - mmengine - INFO - Epoch(train) [47][100/3757] lr: 1.000e-03 eta: 14:57:31 time: 0.597 data_time: 0.317 memory: 5150 grad_norm: 6.6952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2745 loss: 1.2745 2022/06/28 10:55:12 - mmengine - INFO - Epoch(train) [47][120/3757] lr: 1.000e-03 eta: 14:57:25 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 5.6979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/06/28 10:55:17 - mmengine - INFO - Epoch(train) [47][140/3757] lr: 1.000e-03 eta: 14:57:19 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.6370 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/06/28 10:55:23 - mmengine - INFO - Epoch(train) [47][160/3757] lr: 1.000e-03 eta: 14:57:15 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 6.9170 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2555 loss: 1.2555 2022/06/28 10:55:28 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:55:28 - mmengine - INFO - Epoch(train) [47][180/3757] lr: 1.000e-03 eta: 14:57:09 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.1771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4220 loss: 1.4220 2022/06/28 10:55:33 - mmengine - INFO - Epoch(train) [47][200/3757] lr: 1.000e-03 eta: 14:57:04 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 6.9427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3729 loss: 1.3729 2022/06/28 10:55:39 - mmengine - INFO - Epoch(train) [47][220/3757] lr: 1.000e-03 eta: 14:56:58 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 6.3776 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5306 loss: 1.5306 2022/06/28 10:55:44 - mmengine - INFO - Epoch(train) [47][240/3757] lr: 1.000e-03 eta: 14:56:53 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.9140 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4783 loss: 1.4783 2022/06/28 10:55:50 - mmengine - INFO - Epoch(train) [47][260/3757] lr: 1.000e-03 eta: 14:56:48 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.8832 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5550 loss: 1.5550 2022/06/28 10:55:55 - mmengine - INFO - Epoch(train) [47][280/3757] lr: 1.000e-03 eta: 14:56:42 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.6164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4433 loss: 1.4433 2022/06/28 10:56:00 - mmengine - INFO - Epoch(train) [47][300/3757] lr: 1.000e-03 eta: 14:56:37 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 5.5971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3273 loss: 1.3273 2022/06/28 10:56:05 - mmengine - INFO - Epoch(train) [47][320/3757] lr: 1.000e-03 eta: 14:56:32 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.1350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7875 loss: 1.7875 2022/06/28 10:56:11 - mmengine - INFO - Epoch(train) [47][340/3757] lr: 1.000e-03 eta: 14:56:27 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 6.6275 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6576 loss: 1.6576 2022/06/28 10:56:16 - mmengine - INFO - Epoch(train) [47][360/3757] lr: 1.000e-03 eta: 14:56:21 time: 0.285 data_time: 0.024 memory: 5150 grad_norm: 5.9744 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4240 loss: 1.4240 2022/06/28 10:56:22 - mmengine - INFO - Epoch(train) [47][380/3757] lr: 1.000e-03 eta: 14:56:17 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.1934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3714 loss: 1.3714 2022/06/28 10:56:27 - mmengine - INFO - Epoch(train) [47][400/3757] lr: 1.000e-03 eta: 14:56:11 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/06/28 10:56:33 - mmengine - INFO - Epoch(train) [47][420/3757] lr: 1.000e-03 eta: 14:56:06 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.5443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4997 loss: 1.4997 2022/06/28 10:56:38 - mmengine - INFO - Epoch(train) [47][440/3757] lr: 1.000e-03 eta: 14:56:01 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 6.2094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5217 loss: 1.5217 2022/06/28 10:56:43 - mmengine - INFO - Epoch(train) [47][460/3757] lr: 1.000e-03 eta: 14:55:55 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 7.3721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5581 loss: 1.5581 2022/06/28 10:56:49 - mmengine - INFO - Epoch(train) [47][480/3757] lr: 1.000e-03 eta: 14:55:50 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.3849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1603 loss: 1.1603 2022/06/28 10:56:54 - mmengine - INFO - Epoch(train) [47][500/3757] lr: 1.000e-03 eta: 14:55:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.6057 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3484 loss: 1.3484 2022/06/28 10:56:59 - mmengine - INFO - Epoch(train) [47][520/3757] lr: 1.000e-03 eta: 14:55:39 time: 0.222 data_time: 0.014 memory: 5150 grad_norm: 6.8921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3458 loss: 1.3458 2022/06/28 10:57:05 - mmengine - INFO - Epoch(train) [47][540/3757] lr: 1.000e-03 eta: 14:55:34 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 4.9095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4842 loss: 1.4842 2022/06/28 10:57:10 - mmengine - INFO - Epoch(train) [47][560/3757] lr: 1.000e-03 eta: 14:55:29 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.3788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/06/28 10:57:15 - mmengine - INFO - Epoch(train) [47][580/3757] lr: 1.000e-03 eta: 14:55:23 time: 0.205 data_time: 0.031 memory: 5150 grad_norm: 6.2058 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5067 loss: 1.5067 2022/06/28 10:57:21 - mmengine - INFO - Epoch(train) [47][600/3757] lr: 1.000e-03 eta: 14:55:19 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 6.4739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4281 loss: 1.4281 2022/06/28 10:57:27 - mmengine - INFO - Epoch(train) [47][620/3757] lr: 1.000e-03 eta: 14:55:14 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 4.6342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4670 loss: 1.4670 2022/06/28 10:57:31 - mmengine - INFO - Epoch(train) [47][640/3757] lr: 1.000e-03 eta: 14:55:08 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.5093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1813 loss: 1.1813 2022/06/28 10:57:37 - mmengine - INFO - Epoch(train) [47][660/3757] lr: 1.000e-03 eta: 14:55:03 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.3771 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6583 loss: 1.6583 2022/06/28 10:57:42 - mmengine - INFO - Epoch(train) [47][680/3757] lr: 1.000e-03 eta: 14:54:57 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 5.8895 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1901 loss: 1.1901 2022/06/28 10:57:48 - mmengine - INFO - Epoch(train) [47][700/3757] lr: 1.000e-03 eta: 14:54:52 time: 0.887 data_time: 0.006 memory: 5150 grad_norm: 5.8666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5368 loss: 1.5368 2022/06/28 10:57:52 - mmengine - INFO - Epoch(train) [47][720/3757] lr: 1.000e-03 eta: 14:54:46 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5753 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5146 loss: 1.5146 2022/06/28 10:57:58 - mmengine - INFO - Epoch(train) [47][740/3757] lr: 1.000e-03 eta: 14:54:42 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 6.4185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1837 loss: 1.1837 2022/06/28 10:58:04 - mmengine - INFO - Epoch(train) [47][760/3757] lr: 1.000e-03 eta: 14:54:36 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.4812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7406 loss: 1.7406 2022/06/28 10:58:09 - mmengine - INFO - Epoch(train) [47][780/3757] lr: 1.000e-03 eta: 14:54:31 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 5.9687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/06/28 10:58:14 - mmengine - INFO - Epoch(train) [47][800/3757] lr: 1.000e-03 eta: 14:54:26 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 6.6642 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8732 loss: 1.8732 2022/06/28 10:58:20 - mmengine - INFO - Epoch(train) [47][820/3757] lr: 1.000e-03 eta: 14:54:21 time: 0.899 data_time: 0.009 memory: 5150 grad_norm: 6.0108 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6190 loss: 1.6190 2022/06/28 10:58:25 - mmengine - INFO - Epoch(train) [47][840/3757] lr: 1.000e-03 eta: 14:54:15 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/06/28 10:58:30 - mmengine - INFO - Epoch(train) [47][860/3757] lr: 1.000e-03 eta: 14:54:10 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.8909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2480 loss: 1.2480 2022/06/28 10:58:36 - mmengine - INFO - Epoch(train) [47][880/3757] lr: 1.000e-03 eta: 14:54:05 time: 0.602 data_time: 0.015 memory: 5150 grad_norm: 6.3080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6486 loss: 1.6486 2022/06/28 10:58:40 - mmengine - INFO - Epoch(train) [47][900/3757] lr: 1.000e-03 eta: 14:53:58 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.9862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5062 loss: 1.5062 2022/06/28 10:58:46 - mmengine - INFO - Epoch(train) [47][920/3757] lr: 1.000e-03 eta: 14:53:53 time: 0.228 data_time: 0.041 memory: 5150 grad_norm: 6.3612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6433 loss: 1.6433 2022/06/28 10:58:51 - mmengine - INFO - Epoch(train) [47][940/3757] lr: 1.000e-03 eta: 14:53:48 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.9836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/06/28 10:58:56 - mmengine - INFO - Epoch(train) [47][960/3757] lr: 1.000e-03 eta: 14:53:43 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.1395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7284 loss: 1.7284 2022/06/28 10:59:02 - mmengine - INFO - Epoch(train) [47][980/3757] lr: 1.000e-03 eta: 14:53:37 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.7358 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4445 loss: 1.4445 2022/06/28 10:59:08 - mmengine - INFO - Epoch(train) [47][1000/3757] lr: 1.000e-03 eta: 14:53:33 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.4214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4490 loss: 1.4490 2022/06/28 10:59:12 - mmengine - INFO - Epoch(train) [47][1020/3757] lr: 1.000e-03 eta: 14:53:26 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.2217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6154 loss: 1.6154 2022/06/28 10:59:17 - mmengine - INFO - Epoch(train) [47][1040/3757] lr: 1.000e-03 eta: 14:53:21 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.3065 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5550 loss: 1.5550 2022/06/28 10:59:23 - mmengine - INFO - Epoch(train) [47][1060/3757] lr: 1.000e-03 eta: 14:53:16 time: 0.283 data_time: 0.007 memory: 5150 grad_norm: 6.9846 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7819 loss: 1.7819 2022/06/28 10:59:28 - mmengine - INFO - Epoch(train) [47][1080/3757] lr: 1.000e-03 eta: 14:53:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6352 loss: 1.6352 2022/06/28 10:59:33 - mmengine - INFO - Epoch(train) [47][1100/3757] lr: 1.000e-03 eta: 14:53:05 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9672 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4920 loss: 1.4920 2022/06/28 10:59:38 - mmengine - INFO - Epoch(train) [47][1120/3757] lr: 1.000e-03 eta: 14:52:59 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.1093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5556 loss: 1.5556 2022/06/28 10:59:44 - mmengine - INFO - Epoch(train) [47][1140/3757] lr: 1.000e-03 eta: 14:52:54 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.8768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3193 loss: 1.3193 2022/06/28 10:59:49 - mmengine - INFO - Epoch(train) [47][1160/3757] lr: 1.000e-03 eta: 14:52:49 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 5.7164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4670 loss: 1.4670 2022/06/28 10:59:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 10:59:55 - mmengine - INFO - Epoch(train) [47][1180/3757] lr: 1.000e-03 eta: 14:52:44 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.0604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/06/28 10:59:59 - mmengine - INFO - Epoch(train) [47][1200/3757] lr: 1.000e-03 eta: 14:52:38 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.5520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2709 loss: 1.2709 2022/06/28 11:00:05 - mmengine - INFO - Epoch(train) [47][1220/3757] lr: 1.000e-03 eta: 14:52:33 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.9619 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/06/28 11:00:11 - mmengine - INFO - Epoch(train) [47][1240/3757] lr: 1.000e-03 eta: 14:52:28 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.2606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2857 loss: 1.2857 2022/06/28 11:00:16 - mmengine - INFO - Epoch(train) [47][1260/3757] lr: 1.000e-03 eta: 14:52:23 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 6.4913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/06/28 11:00:21 - mmengine - INFO - Epoch(train) [47][1280/3757] lr: 1.000e-03 eta: 14:52:17 time: 0.264 data_time: 0.008 memory: 5150 grad_norm: 5.8817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/06/28 11:00:27 - mmengine - INFO - Epoch(train) [47][1300/3757] lr: 1.000e-03 eta: 14:52:12 time: 0.301 data_time: 0.078 memory: 5150 grad_norm: 7.5458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4331 loss: 1.4331 2022/06/28 11:00:32 - mmengine - INFO - Epoch(train) [47][1320/3757] lr: 1.000e-03 eta: 14:52:07 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.5838 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/06/28 11:00:37 - mmengine - INFO - Epoch(train) [47][1340/3757] lr: 1.000e-03 eta: 14:52:01 time: 0.308 data_time: 0.010 memory: 5150 grad_norm: 6.7577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/06/28 11:00:43 - mmengine - INFO - Epoch(train) [47][1360/3757] lr: 1.000e-03 eta: 14:51:56 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.0204 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/06/28 11:00:48 - mmengine - INFO - Epoch(train) [47][1380/3757] lr: 1.000e-03 eta: 14:51:51 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.4297 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7707 loss: 1.7707 2022/06/28 11:00:53 - mmengine - INFO - Epoch(train) [47][1400/3757] lr: 1.000e-03 eta: 14:51:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.9966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8938 loss: 1.8938 2022/06/28 11:00:59 - mmengine - INFO - Epoch(train) [47][1420/3757] lr: 1.000e-03 eta: 14:51:40 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.9760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5144 loss: 1.5144 2022/06/28 11:01:03 - mmengine - INFO - Epoch(train) [47][1440/3757] lr: 1.000e-03 eta: 14:51:34 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.0413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4418 loss: 1.4418 2022/06/28 11:01:09 - mmengine - INFO - Epoch(train) [47][1460/3757] lr: 1.000e-03 eta: 14:51:29 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.5088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5207 loss: 1.5207 2022/06/28 11:01:14 - mmengine - INFO - Epoch(train) [47][1480/3757] lr: 1.000e-03 eta: 14:51:24 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.5419 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6483 loss: 1.6483 2022/06/28 11:01:20 - mmengine - INFO - Epoch(train) [47][1500/3757] lr: 1.000e-03 eta: 14:51:19 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.9075 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2573 loss: 1.2573 2022/06/28 11:01:25 - mmengine - INFO - Epoch(train) [47][1520/3757] lr: 1.000e-03 eta: 14:51:14 time: 0.531 data_time: 0.007 memory: 5150 grad_norm: 6.3874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/06/28 11:01:30 - mmengine - INFO - Epoch(train) [47][1540/3757] lr: 1.000e-03 eta: 14:51:08 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.6644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7162 loss: 1.7162 2022/06/28 11:01:36 - mmengine - INFO - Epoch(train) [47][1560/3757] lr: 1.000e-03 eta: 14:51:03 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 5.4110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4047 loss: 1.4047 2022/06/28 11:01:41 - mmengine - INFO - Epoch(train) [47][1580/3757] lr: 1.000e-03 eta: 14:50:58 time: 0.305 data_time: 0.014 memory: 5150 grad_norm: 6.1224 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7348 loss: 1.7348 2022/06/28 11:01:46 - mmengine - INFO - Epoch(train) [47][1600/3757] lr: 1.000e-03 eta: 14:50:52 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3762 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2557 loss: 1.2557 2022/06/28 11:01:52 - mmengine - INFO - Epoch(train) [47][1620/3757] lr: 1.000e-03 eta: 14:50:47 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.9725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4144 loss: 1.4144 2022/06/28 11:01:57 - mmengine - INFO - Epoch(train) [47][1640/3757] lr: 1.000e-03 eta: 14:50:42 time: 0.624 data_time: 0.010 memory: 5150 grad_norm: 7.5267 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4949 loss: 1.4949 2022/06/28 11:02:02 - mmengine - INFO - Epoch(train) [47][1660/3757] lr: 1.000e-03 eta: 14:50:36 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 6.0200 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3369 loss: 1.3369 2022/06/28 11:02:09 - mmengine - INFO - Epoch(train) [47][1680/3757] lr: 1.000e-03 eta: 14:50:32 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 5.1951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1698 loss: 2.1698 2022/06/28 11:02:13 - mmengine - INFO - Epoch(train) [47][1700/3757] lr: 1.000e-03 eta: 14:50:26 time: 0.241 data_time: 0.011 memory: 5150 grad_norm: 6.8010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5956 loss: 1.5956 2022/06/28 11:02:17 - mmengine - INFO - Epoch(train) [47][1720/3757] lr: 1.000e-03 eta: 14:50:19 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.9319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0618 loss: 1.0618 2022/06/28 11:02:22 - mmengine - INFO - Epoch(train) [47][1740/3757] lr: 1.000e-03 eta: 14:50:13 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.3556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6870 loss: 1.6870 2022/06/28 11:02:28 - mmengine - INFO - Epoch(train) [47][1760/3757] lr: 1.000e-03 eta: 14:50:09 time: 0.985 data_time: 0.017 memory: 5150 grad_norm: 6.5258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6692 loss: 1.6692 2022/06/28 11:02:33 - mmengine - INFO - Epoch(train) [47][1780/3757] lr: 1.000e-03 eta: 14:50:03 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.6414 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5813 loss: 1.5813 2022/06/28 11:02:38 - mmengine - INFO - Epoch(train) [47][1800/3757] lr: 1.000e-03 eta: 14:49:58 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 5.9600 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2914 loss: 1.2914 2022/06/28 11:02:44 - mmengine - INFO - Epoch(train) [47][1820/3757] lr: 1.000e-03 eta: 14:49:52 time: 0.701 data_time: 0.132 memory: 5150 grad_norm: 5.7584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6789 loss: 1.6789 2022/06/28 11:02:49 - mmengine - INFO - Epoch(train) [47][1840/3757] lr: 1.000e-03 eta: 14:49:47 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.1773 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2367 loss: 1.2367 2022/06/28 11:02:54 - mmengine - INFO - Epoch(train) [47][1860/3757] lr: 1.000e-03 eta: 14:49:41 time: 0.210 data_time: 0.036 memory: 5150 grad_norm: 7.2327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4386 loss: 1.4386 2022/06/28 11:03:00 - mmengine - INFO - Epoch(train) [47][1880/3757] lr: 1.000e-03 eta: 14:49:36 time: 0.673 data_time: 0.261 memory: 5150 grad_norm: 6.2536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2471 loss: 1.2471 2022/06/28 11:03:05 - mmengine - INFO - Epoch(train) [47][1900/3757] lr: 1.000e-03 eta: 14:49:31 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 4.8527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7088 loss: 1.7088 2022/06/28 11:03:11 - mmengine - INFO - Epoch(train) [47][1920/3757] lr: 1.000e-03 eta: 14:49:27 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 6.6819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3128 loss: 1.3128 2022/06/28 11:03:16 - mmengine - INFO - Epoch(train) [47][1940/3757] lr: 1.000e-03 eta: 14:49:21 time: 0.766 data_time: 0.020 memory: 5150 grad_norm: 6.5906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3445 loss: 1.3445 2022/06/28 11:03:21 - mmengine - INFO - Epoch(train) [47][1960/3757] lr: 1.000e-03 eta: 14:49:15 time: 0.547 data_time: 0.007 memory: 5150 grad_norm: 5.9626 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6343 loss: 1.6343 2022/06/28 11:03:26 - mmengine - INFO - Epoch(train) [47][1980/3757] lr: 1.000e-03 eta: 14:49:10 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0466 loss: 2.0466 2022/06/28 11:03:32 - mmengine - INFO - Epoch(train) [47][2000/3757] lr: 1.000e-03 eta: 14:49:05 time: 0.200 data_time: 0.026 memory: 5150 grad_norm: 6.9137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/06/28 11:03:38 - mmengine - INFO - Epoch(train) [47][2020/3757] lr: 1.000e-03 eta: 14:49:00 time: 0.686 data_time: 0.007 memory: 5150 grad_norm: 5.4244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4473 loss: 1.4473 2022/06/28 11:03:43 - mmengine - INFO - Epoch(train) [47][2040/3757] lr: 1.000e-03 eta: 14:48:54 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.9833 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5530 loss: 1.5530 2022/06/28 11:03:49 - mmengine - INFO - Epoch(train) [47][2060/3757] lr: 1.000e-03 eta: 14:48:50 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.4136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0294 loss: 2.0294 2022/06/28 11:03:53 - mmengine - INFO - Epoch(train) [47][2080/3757] lr: 1.000e-03 eta: 14:48:44 time: 0.568 data_time: 0.007 memory: 5150 grad_norm: 6.5814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8010 loss: 1.8010 2022/06/28 11:03:58 - mmengine - INFO - Epoch(train) [47][2100/3757] lr: 1.000e-03 eta: 14:48:38 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 5.4687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4979 loss: 1.4979 2022/06/28 11:04:03 - mmengine - INFO - Epoch(train) [47][2120/3757] lr: 1.000e-03 eta: 14:48:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.7472 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6937 loss: 1.6937 2022/06/28 11:04:09 - mmengine - INFO - Epoch(train) [47][2140/3757] lr: 1.000e-03 eta: 14:48:28 time: 1.089 data_time: 0.006 memory: 5150 grad_norm: 5.3115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/06/28 11:04:14 - mmengine - INFO - Epoch(train) [47][2160/3757] lr: 1.000e-03 eta: 14:48:22 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.9055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4702 loss: 1.4702 2022/06/28 11:04:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:04:20 - mmengine - INFO - Epoch(train) [47][2180/3757] lr: 1.000e-03 eta: 14:48:17 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.6272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4409 loss: 1.4409 2022/06/28 11:04:25 - mmengine - INFO - Epoch(train) [47][2200/3757] lr: 1.000e-03 eta: 14:48:12 time: 0.654 data_time: 0.007 memory: 5150 grad_norm: 5.6246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5739 loss: 1.5739 2022/06/28 11:04:30 - mmengine - INFO - Epoch(train) [47][2220/3757] lr: 1.000e-03 eta: 14:48:06 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.2128 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9728 loss: 1.9728 2022/06/28 11:04:36 - mmengine - INFO - Epoch(train) [47][2240/3757] lr: 1.000e-03 eta: 14:48:01 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.2099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6767 loss: 1.6767 2022/06/28 11:04:41 - mmengine - INFO - Epoch(train) [47][2260/3757] lr: 1.000e-03 eta: 14:47:56 time: 0.786 data_time: 0.006 memory: 5150 grad_norm: 6.8257 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5647 loss: 1.5647 2022/06/28 11:04:46 - mmengine - INFO - Epoch(train) [47][2280/3757] lr: 1.000e-03 eta: 14:47:50 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.6749 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4537 loss: 1.4537 2022/06/28 11:04:51 - mmengine - INFO - Epoch(train) [47][2300/3757] lr: 1.000e-03 eta: 14:47:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5577 loss: 1.5577 2022/06/28 11:04:56 - mmengine - INFO - Epoch(train) [47][2320/3757] lr: 1.000e-03 eta: 14:47:39 time: 0.617 data_time: 0.006 memory: 5150 grad_norm: 6.1414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5772 loss: 1.5772 2022/06/28 11:05:01 - mmengine - INFO - Epoch(train) [47][2340/3757] lr: 1.000e-03 eta: 14:47:33 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 7.5711 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6153 loss: 1.6153 2022/06/28 11:05:07 - mmengine - INFO - Epoch(train) [47][2360/3757] lr: 1.000e-03 eta: 14:47:28 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6232 loss: 1.6232 2022/06/28 11:05:12 - mmengine - INFO - Epoch(train) [47][2380/3757] lr: 1.000e-03 eta: 14:47:23 time: 1.099 data_time: 0.013 memory: 5150 grad_norm: 6.3646 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7575 loss: 1.7575 2022/06/28 11:05:17 - mmengine - INFO - Epoch(train) [47][2400/3757] lr: 1.000e-03 eta: 14:47:17 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 5.8172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7669 loss: 1.7669 2022/06/28 11:05:23 - mmengine - INFO - Epoch(train) [47][2420/3757] lr: 1.000e-03 eta: 14:47:13 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.8042 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3650 loss: 1.3650 2022/06/28 11:05:28 - mmengine - INFO - Epoch(train) [47][2440/3757] lr: 1.000e-03 eta: 14:47:07 time: 0.604 data_time: 0.006 memory: 5150 grad_norm: 6.4009 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7482 loss: 1.7482 2022/06/28 11:05:33 - mmengine - INFO - Epoch(train) [47][2460/3757] lr: 1.000e-03 eta: 14:47:01 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 5.9280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2704 loss: 1.2704 2022/06/28 11:05:38 - mmengine - INFO - Epoch(train) [47][2480/3757] lr: 1.000e-03 eta: 14:46:56 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.3617 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/06/28 11:05:44 - mmengine - INFO - Epoch(train) [47][2500/3757] lr: 1.000e-03 eta: 14:46:51 time: 1.192 data_time: 0.011 memory: 5150 grad_norm: 6.4352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4923 loss: 1.4923 2022/06/28 11:05:50 - mmengine - INFO - Epoch(train) [47][2520/3757] lr: 1.000e-03 eta: 14:46:47 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.2288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7069 loss: 1.7069 2022/06/28 11:05:54 - mmengine - INFO - Epoch(train) [47][2540/3757] lr: 1.000e-03 eta: 14:46:40 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.4233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/06/28 11:06:00 - mmengine - INFO - Epoch(train) [47][2560/3757] lr: 1.000e-03 eta: 14:46:35 time: 0.723 data_time: 0.007 memory: 5150 grad_norm: 6.7663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4267 loss: 1.4267 2022/06/28 11:06:04 - mmengine - INFO - Epoch(train) [47][2580/3757] lr: 1.000e-03 eta: 14:46:29 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 5.6522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/06/28 11:06:10 - mmengine - INFO - Epoch(train) [47][2600/3757] lr: 1.000e-03 eta: 14:46:24 time: 0.207 data_time: 0.019 memory: 5150 grad_norm: 6.4687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5672 loss: 1.5672 2022/06/28 11:06:15 - mmengine - INFO - Epoch(train) [47][2620/3757] lr: 1.000e-03 eta: 14:46:19 time: 0.956 data_time: 0.007 memory: 5150 grad_norm: 6.2950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4298 loss: 1.4298 2022/06/28 11:06:20 - mmengine - INFO - Epoch(train) [47][2640/3757] lr: 1.000e-03 eta: 14:46:13 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 7.4303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4739 loss: 1.4739 2022/06/28 11:06:26 - mmengine - INFO - Epoch(train) [47][2660/3757] lr: 1.000e-03 eta: 14:46:08 time: 0.198 data_time: 0.019 memory: 5150 grad_norm: 6.4370 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4079 loss: 1.4079 2022/06/28 11:06:31 - mmengine - INFO - Epoch(train) [47][2680/3757] lr: 1.000e-03 eta: 14:46:03 time: 0.651 data_time: 0.006 memory: 5150 grad_norm: 7.3990 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9958 loss: 1.9958 2022/06/28 11:06:36 - mmengine - INFO - Epoch(train) [47][2700/3757] lr: 1.000e-03 eta: 14:45:57 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 5.5030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1792 loss: 1.1792 2022/06/28 11:06:42 - mmengine - INFO - Epoch(train) [47][2720/3757] lr: 1.000e-03 eta: 14:45:52 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 6.7321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2997 loss: 1.2997 2022/06/28 11:06:48 - mmengine - INFO - Epoch(train) [47][2740/3757] lr: 1.000e-03 eta: 14:45:47 time: 0.531 data_time: 0.007 memory: 5150 grad_norm: 6.2478 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8193 loss: 1.8193 2022/06/28 11:06:52 - mmengine - INFO - Epoch(train) [47][2760/3757] lr: 1.000e-03 eta: 14:45:41 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 6.5165 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0901 loss: 2.0901 2022/06/28 11:06:58 - mmengine - INFO - Epoch(train) [47][2780/3757] lr: 1.000e-03 eta: 14:45:36 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 7.0066 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2839 loss: 1.2839 2022/06/28 11:07:03 - mmengine - INFO - Epoch(train) [47][2800/3757] lr: 1.000e-03 eta: 14:45:31 time: 0.728 data_time: 0.007 memory: 5150 grad_norm: 5.4534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7512 loss: 1.7512 2022/06/28 11:07:09 - mmengine - INFO - Epoch(train) [47][2820/3757] lr: 1.000e-03 eta: 14:45:25 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.4695 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4843 loss: 1.4843 2022/06/28 11:07:14 - mmengine - INFO - Epoch(train) [47][2840/3757] lr: 1.000e-03 eta: 14:45:20 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 5.8567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3440 loss: 1.3440 2022/06/28 11:07:19 - mmengine - INFO - Epoch(train) [47][2860/3757] lr: 1.000e-03 eta: 14:45:15 time: 0.625 data_time: 0.008 memory: 5150 grad_norm: 7.0801 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6702 loss: 1.6702 2022/06/28 11:07:24 - mmengine - INFO - Epoch(train) [47][2880/3757] lr: 1.000e-03 eta: 14:45:09 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.1199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/06/28 11:07:30 - mmengine - INFO - Epoch(train) [47][2900/3757] lr: 1.000e-03 eta: 14:45:04 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 7.9150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6022 loss: 1.6022 2022/06/28 11:07:35 - mmengine - INFO - Epoch(train) [47][2920/3757] lr: 1.000e-03 eta: 14:44:59 time: 0.451 data_time: 0.007 memory: 5150 grad_norm: 6.4452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7595 loss: 1.7595 2022/06/28 11:07:40 - mmengine - INFO - Epoch(train) [47][2940/3757] lr: 1.000e-03 eta: 14:44:53 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.4496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4721 loss: 1.4721 2022/06/28 11:07:46 - mmengine - INFO - Epoch(train) [47][2960/3757] lr: 1.000e-03 eta: 14:44:48 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 6.3614 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2014 loss: 1.2014 2022/06/28 11:07:52 - mmengine - INFO - Epoch(train) [47][2980/3757] lr: 1.000e-03 eta: 14:44:43 time: 0.509 data_time: 0.008 memory: 5150 grad_norm: 6.5912 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4099 loss: 1.4099 2022/06/28 11:07:56 - mmengine - INFO - Epoch(train) [47][3000/3757] lr: 1.000e-03 eta: 14:44:37 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.9582 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6512 loss: 1.6512 2022/06/28 11:08:02 - mmengine - INFO - Epoch(train) [47][3020/3757] lr: 1.000e-03 eta: 14:44:32 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 6.9069 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/06/28 11:08:07 - mmengine - INFO - Epoch(train) [47][3040/3757] lr: 1.000e-03 eta: 14:44:26 time: 0.458 data_time: 0.010 memory: 5150 grad_norm: 5.7275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3242 loss: 1.3242 2022/06/28 11:08:12 - mmengine - INFO - Epoch(train) [47][3060/3757] lr: 1.000e-03 eta: 14:44:21 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.6373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8070 loss: 1.8070 2022/06/28 11:08:18 - mmengine - INFO - Epoch(train) [47][3080/3757] lr: 1.000e-03 eta: 14:44:16 time: 0.206 data_time: 0.024 memory: 5150 grad_norm: 6.7244 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.5574 loss: 1.5574 2022/06/28 11:08:23 - mmengine - INFO - Epoch(train) [47][3100/3757] lr: 1.000e-03 eta: 14:44:11 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 6.3261 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6651 loss: 1.6651 2022/06/28 11:08:28 - mmengine - INFO - Epoch(train) [47][3120/3757] lr: 1.000e-03 eta: 14:44:05 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.1194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6217 loss: 1.6217 2022/06/28 11:08:34 - mmengine - INFO - Epoch(train) [47][3140/3757] lr: 1.000e-03 eta: 14:44:00 time: 0.207 data_time: 0.023 memory: 5150 grad_norm: 6.6280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4664 loss: 1.4664 2022/06/28 11:08:39 - mmengine - INFO - Epoch(train) [47][3160/3757] lr: 1.000e-03 eta: 14:43:55 time: 0.214 data_time: 0.029 memory: 5150 grad_norm: 7.0806 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1686 loss: 1.1686 2022/06/28 11:08:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:08:44 - mmengine - INFO - Epoch(train) [47][3180/3757] lr: 1.000e-03 eta: 14:43:49 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.2008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3745 loss: 2.3745 2022/06/28 11:08:49 - mmengine - INFO - Epoch(train) [47][3200/3757] lr: 1.000e-03 eta: 14:43:44 time: 0.203 data_time: 0.029 memory: 5150 grad_norm: 6.4397 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6395 loss: 1.6395 2022/06/28 11:08:55 - mmengine - INFO - Epoch(train) [47][3220/3757] lr: 1.000e-03 eta: 14:43:39 time: 0.218 data_time: 0.020 memory: 5150 grad_norm: 6.7286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/06/28 11:09:00 - mmengine - INFO - Epoch(train) [47][3240/3757] lr: 1.000e-03 eta: 14:43:34 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.8853 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6354 loss: 1.6354 2022/06/28 11:09:05 - mmengine - INFO - Epoch(train) [47][3260/3757] lr: 1.000e-03 eta: 14:43:28 time: 0.201 data_time: 0.023 memory: 5150 grad_norm: 6.1335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7460 loss: 1.7460 2022/06/28 11:09:11 - mmengine - INFO - Epoch(train) [47][3280/3757] lr: 1.000e-03 eta: 14:43:23 time: 0.204 data_time: 0.023 memory: 5150 grad_norm: 7.6153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5207 loss: 1.5207 2022/06/28 11:09:16 - mmengine - INFO - Epoch(train) [47][3300/3757] lr: 1.000e-03 eta: 14:43:18 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2286 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3679 loss: 1.3679 2022/06/28 11:09:22 - mmengine - INFO - Epoch(train) [47][3320/3757] lr: 1.000e-03 eta: 14:43:13 time: 0.199 data_time: 0.027 memory: 5150 grad_norm: 5.6083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8857 loss: 1.8857 2022/06/28 11:09:27 - mmengine - INFO - Epoch(train) [47][3340/3757] lr: 1.000e-03 eta: 14:43:07 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 6.4613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5338 loss: 1.5338 2022/06/28 11:09:32 - mmengine - INFO - Epoch(train) [47][3360/3757] lr: 1.000e-03 eta: 14:43:01 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8586 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5454 loss: 1.5454 2022/06/28 11:09:37 - mmengine - INFO - Epoch(train) [47][3380/3757] lr: 1.000e-03 eta: 14:42:56 time: 0.221 data_time: 0.042 memory: 5150 grad_norm: 6.4741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5295 loss: 1.5295 2022/06/28 11:09:43 - mmengine - INFO - Epoch(train) [47][3400/3757] lr: 1.000e-03 eta: 14:42:51 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 6.2496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7978 loss: 1.7978 2022/06/28 11:09:48 - mmengine - INFO - Epoch(train) [47][3420/3757] lr: 1.000e-03 eta: 14:42:45 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.2730 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5952 loss: 1.5952 2022/06/28 11:09:53 - mmengine - INFO - Epoch(train) [47][3440/3757] lr: 1.000e-03 eta: 14:42:40 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 6.6756 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8274 loss: 1.8274 2022/06/28 11:09:58 - mmengine - INFO - Epoch(train) [47][3460/3757] lr: 1.000e-03 eta: 14:42:34 time: 0.202 data_time: 0.028 memory: 5150 grad_norm: 6.8417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6953 loss: 1.6953 2022/06/28 11:10:04 - mmengine - INFO - Epoch(train) [47][3480/3757] lr: 1.000e-03 eta: 14:42:29 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 6.7044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2519 loss: 1.2519 2022/06/28 11:10:10 - mmengine - INFO - Epoch(train) [47][3500/3757] lr: 1.000e-03 eta: 14:42:25 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.2606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2632 loss: 1.2632 2022/06/28 11:10:14 - mmengine - INFO - Epoch(train) [47][3520/3757] lr: 1.000e-03 eta: 14:42:18 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.6779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6249 loss: 1.6249 2022/06/28 11:10:19 - mmengine - INFO - Epoch(train) [47][3540/3757] lr: 1.000e-03 eta: 14:42:12 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 5.6647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2892 loss: 1.2892 2022/06/28 11:10:24 - mmengine - INFO - Epoch(train) [47][3560/3757] lr: 1.000e-03 eta: 14:42:07 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.8797 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3988 loss: 1.3988 2022/06/28 11:10:30 - mmengine - INFO - Epoch(train) [47][3580/3757] lr: 1.000e-03 eta: 14:42:02 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 6.1123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3902 loss: 1.3902 2022/06/28 11:10:35 - mmengine - INFO - Epoch(train) [47][3600/3757] lr: 1.000e-03 eta: 14:41:57 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.8071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/06/28 11:10:40 - mmengine - INFO - Epoch(train) [47][3620/3757] lr: 1.000e-03 eta: 14:41:51 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.5294 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8308 loss: 1.8308 2022/06/28 11:10:46 - mmengine - INFO - Epoch(train) [47][3640/3757] lr: 1.000e-03 eta: 14:41:46 time: 0.202 data_time: 0.032 memory: 5150 grad_norm: 7.4231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6482 loss: 1.6482 2022/06/28 11:10:51 - mmengine - INFO - Epoch(train) [47][3660/3757] lr: 1.000e-03 eta: 14:41:41 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.7035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3949 loss: 1.3949 2022/06/28 11:10:56 - mmengine - INFO - Epoch(train) [47][3680/3757] lr: 1.000e-03 eta: 14:41:36 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.7017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3060 loss: 1.3060 2022/06/28 11:11:01 - mmengine - INFO - Epoch(train) [47][3700/3757] lr: 1.000e-03 eta: 14:41:30 time: 0.204 data_time: 0.027 memory: 5150 grad_norm: 5.0778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/06/28 11:11:07 - mmengine - INFO - Epoch(train) [47][3720/3757] lr: 1.000e-03 eta: 14:41:25 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 5.8620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/06/28 11:11:12 - mmengine - INFO - Epoch(train) [47][3740/3757] lr: 1.000e-03 eta: 14:41:20 time: 0.237 data_time: 0.007 memory: 5150 grad_norm: 6.7852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3923 loss: 1.3923 2022/06/28 11:11:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:11:49 - mmengine - INFO - Epoch(val) [47][20/310] eta: 0:05:36 time: 1.103 data_time: 0.472 memory: 9746 2022/06/28 11:12:10 - mmengine - INFO - Epoch(val) [47][40/310] eta: 0:04:49 time: 1.010 data_time: 0.364 memory: 9746 2022/06/28 11:12:35 - mmengine - INFO - Epoch(val) [47][60/310] eta: 0:04:26 time: 1.166 data_time: 0.518 memory: 9746 2022/06/28 11:12:57 - mmengine - INFO - Epoch(val) [47][80/310] eta: 0:04:25 time: 1.043 data_time: 0.402 memory: 9746 2022/06/28 11:13:21 - mmengine - INFO - Epoch(val) [47][100/310] eta: 0:04:09 time: 2.122 data_time: 1.468 memory: 9746 2022/06/28 11:13:42 - mmengine - INFO - Epoch(val) [47][120/310] eta: 0:03:28 time: 1.127 data_time: 0.478 memory: 9746 2022/06/28 11:14:06 - mmengine - INFO - Epoch(val) [47][140/310] eta: 0:03:15 time: 1.033 data_time: 0.367 memory: 9746 2022/06/28 11:14:31 - mmengine - INFO - Epoch(val) [47][160/310] eta: 0:03:21 time: 3.706 data_time: 3.036 memory: 9746 2022/06/28 11:14:54 - mmengine - INFO - Epoch(val) [47][180/310] eta: 0:02:46 time: 0.995 data_time: 0.350 memory: 9746 2022/06/28 11:15:16 - mmengine - INFO - Epoch(val) [47][200/310] eta: 0:02:06 time: 1.012 data_time: 0.359 memory: 9746 2022/06/28 11:15:37 - mmengine - INFO - Epoch(val) [47][220/310] eta: 0:01:38 time: 1.146 data_time: 0.502 memory: 9746 2022/06/28 11:15:59 - mmengine - INFO - Epoch(val) [47][240/310] eta: 0:01:16 time: 1.118 data_time: 0.460 memory: 9746 2022/06/28 11:16:23 - mmengine - INFO - Epoch(val) [47][260/310] eta: 0:01:02 time: 0.940 data_time: 0.293 memory: 9746 2022/06/28 11:16:46 - mmengine - INFO - Epoch(val) [47][280/310] eta: 0:00:35 time: 2.355 data_time: 1.657 memory: 9746 2022/06/28 11:17:06 - mmengine - INFO - Epoch(val) [47][300/310] eta: 0:00:08 time: 0.687 data_time: 0.108 memory: 9746 2022/06/28 11:17:19 - mmengine - INFO - Epoch(val) [47][310/310] acc/top1: 0.6995 acc/top5: 0.8919 acc/mean1: 0.6994 2022/06/28 11:17:27 - mmengine - INFO - Epoch(train) [48][20/3757] lr: 1.000e-03 eta: 14:41:10 time: 0.200 data_time: 0.011 memory: 9746 grad_norm: 7.0125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5339 loss: 1.5339 2022/06/28 11:17:33 - mmengine - INFO - Epoch(train) [48][40/3757] lr: 1.000e-03 eta: 14:41:06 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.5517 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3073 loss: 1.3073 2022/06/28 11:17:38 - mmengine - INFO - Epoch(train) [48][60/3757] lr: 1.000e-03 eta: 14:41:00 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 6.2621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0735 loss: 2.0735 2022/06/28 11:17:43 - mmengine - INFO - Epoch(train) [48][80/3757] lr: 1.000e-03 eta: 14:40:55 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.6599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1525 loss: 1.1525 2022/06/28 11:17:49 - mmengine - INFO - Epoch(train) [48][100/3757] lr: 1.000e-03 eta: 14:40:50 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.1170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7831 loss: 1.7831 2022/06/28 11:17:54 - mmengine - INFO - Epoch(train) [48][120/3757] lr: 1.000e-03 eta: 14:40:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.9624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9241 loss: 0.9241 2022/06/28 11:17:59 - mmengine - INFO - Epoch(train) [48][140/3757] lr: 1.000e-03 eta: 14:40:39 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.4837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2241 loss: 1.2241 2022/06/28 11:18:05 - mmengine - INFO - Epoch(train) [48][160/3757] lr: 1.000e-03 eta: 14:40:34 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 6.7596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4093 loss: 1.4093 2022/06/28 11:18:09 - mmengine - INFO - Epoch(train) [48][180/3757] lr: 1.000e-03 eta: 14:40:27 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 6.0896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3770 loss: 1.3770 2022/06/28 11:18:16 - mmengine - INFO - Epoch(train) [48][200/3757] lr: 1.000e-03 eta: 14:40:23 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 5.8737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8316 loss: 1.8316 2022/06/28 11:18:22 - mmengine - INFO - Epoch(train) [48][220/3757] lr: 1.000e-03 eta: 14:40:18 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1700 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8028 loss: 1.8028 2022/06/28 11:18:26 - mmengine - INFO - Epoch(train) [48][240/3757] lr: 1.000e-03 eta: 14:40:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 5.4387 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1929 loss: 1.1929 2022/06/28 11:18:32 - mmengine - INFO - Epoch(train) [48][260/3757] lr: 1.000e-03 eta: 14:40:07 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 7.0819 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7439 loss: 1.7439 2022/06/28 11:18:37 - mmengine - INFO - Epoch(train) [48][280/3757] lr: 1.000e-03 eta: 14:40:02 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.9815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/06/28 11:18:42 - mmengine - INFO - Epoch(train) [48][300/3757] lr: 1.000e-03 eta: 14:39:56 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0545 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2665 loss: 1.2665 2022/06/28 11:18:48 - mmengine - INFO - Epoch(train) [48][320/3757] lr: 1.000e-03 eta: 14:39:52 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 6.6217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2162 loss: 1.2162 2022/06/28 11:18:53 - mmengine - INFO - Epoch(train) [48][340/3757] lr: 1.000e-03 eta: 14:39:46 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.4091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3440 loss: 1.3440 2022/06/28 11:18:58 - mmengine - INFO - Epoch(train) [48][360/3757] lr: 1.000e-03 eta: 14:39:40 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.2695 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4972 loss: 1.4972 2022/06/28 11:19:03 - mmengine - INFO - Epoch(train) [48][380/3757] lr: 1.000e-03 eta: 14:39:35 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 6.3709 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6479 loss: 1.6479 2022/06/28 11:19:09 - mmengine - INFO - Epoch(train) [48][400/3757] lr: 1.000e-03 eta: 14:39:30 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.3422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4417 loss: 1.4417 2022/06/28 11:19:14 - mmengine - INFO - Epoch(train) [48][420/3757] lr: 1.000e-03 eta: 14:39:24 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 6.4425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4707 loss: 1.4707 2022/06/28 11:19:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:19:19 - mmengine - INFO - Epoch(train) [48][440/3757] lr: 1.000e-03 eta: 14:39:19 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 6.9831 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8910 loss: 1.8910 2022/06/28 11:19:25 - mmengine - INFO - Epoch(train) [48][460/3757] lr: 1.000e-03 eta: 14:39:14 time: 0.213 data_time: 0.017 memory: 5150 grad_norm: 6.0977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1706 loss: 1.1706 2022/06/28 11:19:30 - mmengine - INFO - Epoch(train) [48][480/3757] lr: 1.000e-03 eta: 14:39:08 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.6993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2440 loss: 1.2440 2022/06/28 11:19:35 - mmengine - INFO - Epoch(train) [48][500/3757] lr: 1.000e-03 eta: 14:39:03 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 6.4704 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4980 loss: 1.4980 2022/06/28 11:19:41 - mmengine - INFO - Epoch(train) [48][520/3757] lr: 1.000e-03 eta: 14:38:58 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 5.8857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4715 loss: 1.4715 2022/06/28 11:19:46 - mmengine - INFO - Epoch(train) [48][540/3757] lr: 1.000e-03 eta: 14:38:52 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 6.6818 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5081 loss: 1.5081 2022/06/28 11:19:52 - mmengine - INFO - Epoch(train) [48][560/3757] lr: 1.000e-03 eta: 14:38:48 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.2514 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/06/28 11:19:57 - mmengine - INFO - Epoch(train) [48][580/3757] lr: 1.000e-03 eta: 14:38:43 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.6694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6359 loss: 1.6359 2022/06/28 11:20:02 - mmengine - INFO - Epoch(train) [48][600/3757] lr: 1.000e-03 eta: 14:38:37 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 6.5458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/06/28 11:20:08 - mmengine - INFO - Epoch(train) [48][620/3757] lr: 1.000e-03 eta: 14:38:32 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 5.5162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/06/28 11:20:13 - mmengine - INFO - Epoch(train) [48][640/3757] lr: 1.000e-03 eta: 14:38:26 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 7.7948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8354 loss: 1.8354 2022/06/28 11:20:18 - mmengine - INFO - Epoch(train) [48][660/3757] lr: 1.000e-03 eta: 14:38:21 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 5.3286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3574 loss: 1.3574 2022/06/28 11:20:23 - mmengine - INFO - Epoch(train) [48][680/3757] lr: 1.000e-03 eta: 14:38:15 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 4.9946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2100 loss: 1.2100 2022/06/28 11:20:29 - mmengine - INFO - Epoch(train) [48][700/3757] lr: 1.000e-03 eta: 14:38:10 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.3021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3222 loss: 1.3222 2022/06/28 11:20:34 - mmengine - INFO - Epoch(train) [48][720/3757] lr: 1.000e-03 eta: 14:38:05 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.2858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5669 loss: 1.5669 2022/06/28 11:20:39 - mmengine - INFO - Epoch(train) [48][740/3757] lr: 1.000e-03 eta: 14:37:59 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 5.5701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5358 loss: 1.5358 2022/06/28 11:20:45 - mmengine - INFO - Epoch(train) [48][760/3757] lr: 1.000e-03 eta: 14:37:54 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.3785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/06/28 11:20:49 - mmengine - INFO - Epoch(train) [48][780/3757] lr: 1.000e-03 eta: 14:37:48 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 5.5866 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4566 loss: 1.4566 2022/06/28 11:20:55 - mmengine - INFO - Epoch(train) [48][800/3757] lr: 1.000e-03 eta: 14:37:43 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 6.1068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6743 loss: 1.6743 2022/06/28 11:21:00 - mmengine - INFO - Epoch(train) [48][820/3757] lr: 1.000e-03 eta: 14:37:38 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 5.8244 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8123 loss: 1.8123 2022/06/28 11:21:05 - mmengine - INFO - Epoch(train) [48][840/3757] lr: 1.000e-03 eta: 14:37:32 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.2528 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7178 loss: 1.7178 2022/06/28 11:21:11 - mmengine - INFO - Epoch(train) [48][860/3757] lr: 1.000e-03 eta: 14:37:27 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 7.4992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4712 loss: 1.4712 2022/06/28 11:21:16 - mmengine - INFO - Epoch(train) [48][880/3757] lr: 1.000e-03 eta: 14:37:22 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 6.1398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6423 loss: 1.6423 2022/06/28 11:21:21 - mmengine - INFO - Epoch(train) [48][900/3757] lr: 1.000e-03 eta: 14:37:16 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.6365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5365 loss: 1.5365 2022/06/28 11:21:26 - mmengine - INFO - Epoch(train) [48][920/3757] lr: 1.000e-03 eta: 14:37:10 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.6571 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4354 loss: 1.4354 2022/06/28 11:21:32 - mmengine - INFO - Epoch(train) [48][940/3757] lr: 1.000e-03 eta: 14:37:05 time: 0.222 data_time: 0.043 memory: 5150 grad_norm: 5.8000 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/06/28 11:21:37 - mmengine - INFO - Epoch(train) [48][960/3757] lr: 1.000e-03 eta: 14:37:00 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3034 loss: 1.3034 2022/06/28 11:21:42 - mmengine - INFO - Epoch(train) [48][980/3757] lr: 1.000e-03 eta: 14:36:54 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.6242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3358 loss: 1.3358 2022/06/28 11:21:47 - mmengine - INFO - Epoch(train) [48][1000/3757] lr: 1.000e-03 eta: 14:36:49 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.3401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4481 loss: 1.4481 2022/06/28 11:21:52 - mmengine - INFO - Epoch(train) [48][1020/3757] lr: 1.000e-03 eta: 14:36:43 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.3433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6109 loss: 1.6109 2022/06/28 11:21:57 - mmengine - INFO - Epoch(train) [48][1040/3757] lr: 1.000e-03 eta: 14:36:38 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 5.9811 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2733 loss: 1.2733 2022/06/28 11:22:03 - mmengine - INFO - Epoch(train) [48][1060/3757] lr: 1.000e-03 eta: 14:36:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.4805 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3199 loss: 1.3199 2022/06/28 11:22:08 - mmengine - INFO - Epoch(train) [48][1080/3757] lr: 1.000e-03 eta: 14:36:27 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 4.8431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3021 loss: 1.3021 2022/06/28 11:22:13 - mmengine - INFO - Epoch(train) [48][1100/3757] lr: 1.000e-03 eta: 14:36:22 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.9120 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5685 loss: 1.5685 2022/06/28 11:22:19 - mmengine - INFO - Epoch(train) [48][1120/3757] lr: 1.000e-03 eta: 14:36:17 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.2771 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6277 loss: 1.6277 2022/06/28 11:22:24 - mmengine - INFO - Epoch(train) [48][1140/3757] lr: 1.000e-03 eta: 14:36:11 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.1433 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3980 loss: 1.3980 2022/06/28 11:22:29 - mmengine - INFO - Epoch(train) [48][1160/3757] lr: 1.000e-03 eta: 14:36:06 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.2171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1179 loss: 1.1179 2022/06/28 11:22:34 - mmengine - INFO - Epoch(train) [48][1180/3757] lr: 1.000e-03 eta: 14:36:00 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.2269 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5461 loss: 1.5461 2022/06/28 11:22:40 - mmengine - INFO - Epoch(train) [48][1200/3757] lr: 1.000e-03 eta: 14:35:55 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.0109 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4170 loss: 1.4170 2022/06/28 11:22:45 - mmengine - INFO - Epoch(train) [48][1220/3757] lr: 1.000e-03 eta: 14:35:50 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4364 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6425 loss: 1.6425 2022/06/28 11:22:51 - mmengine - INFO - Epoch(train) [48][1240/3757] lr: 1.000e-03 eta: 14:35:45 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.4088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5225 loss: 1.5225 2022/06/28 11:22:56 - mmengine - INFO - Epoch(train) [48][1260/3757] lr: 1.000e-03 eta: 14:35:39 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 6.9896 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7153 loss: 1.7153 2022/06/28 11:23:01 - mmengine - INFO - Epoch(train) [48][1280/3757] lr: 1.000e-03 eta: 14:35:34 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1839 loss: 1.1839 2022/06/28 11:23:07 - mmengine - INFO - Epoch(train) [48][1300/3757] lr: 1.000e-03 eta: 14:35:29 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.5037 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3116 loss: 1.3116 2022/06/28 11:23:12 - mmengine - INFO - Epoch(train) [48][1320/3757] lr: 1.000e-03 eta: 14:35:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.7291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4623 loss: 1.4623 2022/06/28 11:23:17 - mmengine - INFO - Epoch(train) [48][1340/3757] lr: 1.000e-03 eta: 14:35:18 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 6.6474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4564 loss: 1.4564 2022/06/28 11:23:22 - mmengine - INFO - Epoch(train) [48][1360/3757] lr: 1.000e-03 eta: 14:35:13 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 6.2099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/06/28 11:23:27 - mmengine - INFO - Epoch(train) [48][1380/3757] lr: 1.000e-03 eta: 14:35:07 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 5.7823 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2595 loss: 1.2595 2022/06/28 11:23:33 - mmengine - INFO - Epoch(train) [48][1400/3757] lr: 1.000e-03 eta: 14:35:02 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 6.2394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/06/28 11:23:38 - mmengine - INFO - Epoch(train) [48][1420/3757] lr: 1.000e-03 eta: 14:34:56 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.5352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2920 loss: 1.2920 2022/06/28 11:23:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:23:43 - mmengine - INFO - Epoch(train) [48][1440/3757] lr: 1.000e-03 eta: 14:34:50 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 6.2932 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/06/28 11:23:49 - mmengine - INFO - Epoch(train) [48][1460/3757] lr: 1.000e-03 eta: 14:34:46 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.0476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4505 loss: 1.4505 2022/06/28 11:23:54 - mmengine - INFO - Epoch(train) [48][1480/3757] lr: 1.000e-03 eta: 14:34:40 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.2491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3702 loss: 1.3702 2022/06/28 11:23:59 - mmengine - INFO - Epoch(train) [48][1500/3757] lr: 1.000e-03 eta: 14:34:35 time: 0.400 data_time: 0.015 memory: 5150 grad_norm: 6.8572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/06/28 11:24:04 - mmengine - INFO - Epoch(train) [48][1520/3757] lr: 1.000e-03 eta: 14:34:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.9833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7452 loss: 1.7452 2022/06/28 11:24:09 - mmengine - INFO - Epoch(train) [48][1540/3757] lr: 1.000e-03 eta: 14:34:24 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.0111 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/06/28 11:24:14 - mmengine - INFO - Epoch(train) [48][1560/3757] lr: 1.000e-03 eta: 14:34:18 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 5.9902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4150 loss: 1.4150 2022/06/28 11:24:20 - mmengine - INFO - Epoch(train) [48][1580/3757] lr: 1.000e-03 eta: 14:34:14 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.1659 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9589 loss: 1.9589 2022/06/28 11:24:25 - mmengine - INFO - Epoch(train) [48][1600/3757] lr: 1.000e-03 eta: 14:34:08 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 6.2206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/06/28 11:24:31 - mmengine - INFO - Epoch(train) [48][1620/3757] lr: 1.000e-03 eta: 14:34:03 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 6.2581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2772 loss: 1.2772 2022/06/28 11:24:36 - mmengine - INFO - Epoch(train) [48][1640/3757] lr: 1.000e-03 eta: 14:33:58 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7331 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4654 loss: 1.4654 2022/06/28 11:24:41 - mmengine - INFO - Epoch(train) [48][1660/3757] lr: 1.000e-03 eta: 14:33:52 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.5478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2677 loss: 1.2677 2022/06/28 11:24:46 - mmengine - INFO - Epoch(train) [48][1680/3757] lr: 1.000e-03 eta: 14:33:47 time: 0.205 data_time: 0.028 memory: 5150 grad_norm: 6.2611 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5894 loss: 1.5894 2022/06/28 11:24:52 - mmengine - INFO - Epoch(train) [48][1700/3757] lr: 1.000e-03 eta: 14:33:41 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7059 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9456 loss: 1.9456 2022/06/28 11:24:57 - mmengine - INFO - Epoch(train) [48][1720/3757] lr: 1.000e-03 eta: 14:33:36 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 6.9412 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3335 loss: 1.3335 2022/06/28 11:25:02 - mmengine - INFO - Epoch(train) [48][1740/3757] lr: 1.000e-03 eta: 14:33:30 time: 0.200 data_time: 0.021 memory: 5150 grad_norm: 5.6493 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3039 loss: 1.3039 2022/06/28 11:25:08 - mmengine - INFO - Epoch(train) [48][1760/3757] lr: 1.000e-03 eta: 14:33:26 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.5863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1834 loss: 1.1834 2022/06/28 11:25:13 - mmengine - INFO - Epoch(train) [48][1780/3757] lr: 1.000e-03 eta: 14:33:20 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 6.2469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1918 loss: 1.1918 2022/06/28 11:25:18 - mmengine - INFO - Epoch(train) [48][1800/3757] lr: 1.000e-03 eta: 14:33:15 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.5432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5250 loss: 1.5250 2022/06/28 11:25:24 - mmengine - INFO - Epoch(train) [48][1820/3757] lr: 1.000e-03 eta: 14:33:09 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 6.6732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3237 loss: 1.3237 2022/06/28 11:25:29 - mmengine - INFO - Epoch(train) [48][1840/3757] lr: 1.000e-03 eta: 14:33:05 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 7.4184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9013 loss: 1.9013 2022/06/28 11:25:35 - mmengine - INFO - Epoch(train) [48][1860/3757] lr: 1.000e-03 eta: 14:32:59 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.1153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3703 loss: 1.3703 2022/06/28 11:25:40 - mmengine - INFO - Epoch(train) [48][1880/3757] lr: 1.000e-03 eta: 14:32:54 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 6.3753 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/06/28 11:25:46 - mmengine - INFO - Epoch(train) [48][1900/3757] lr: 1.000e-03 eta: 14:32:49 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.5670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/06/28 11:25:51 - mmengine - INFO - Epoch(train) [48][1920/3757] lr: 1.000e-03 eta: 14:32:43 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 6.6190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3606 loss: 1.3606 2022/06/28 11:25:56 - mmengine - INFO - Epoch(train) [48][1940/3757] lr: 1.000e-03 eta: 14:32:38 time: 0.214 data_time: 0.044 memory: 5150 grad_norm: 6.4627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6284 loss: 1.6284 2022/06/28 11:26:02 - mmengine - INFO - Epoch(train) [48][1960/3757] lr: 1.000e-03 eta: 14:32:33 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 6.3832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6226 loss: 1.6226 2022/06/28 11:26:07 - mmengine - INFO - Epoch(train) [48][1980/3757] lr: 1.000e-03 eta: 14:32:27 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 4.9256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7186 loss: 1.7186 2022/06/28 11:26:13 - mmengine - INFO - Epoch(train) [48][2000/3757] lr: 1.000e-03 eta: 14:32:23 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 7.4127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/06/28 11:26:17 - mmengine - INFO - Epoch(train) [48][2020/3757] lr: 1.000e-03 eta: 14:32:17 time: 0.226 data_time: 0.019 memory: 5150 grad_norm: 6.1505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4791 loss: 1.4791 2022/06/28 11:26:23 - mmengine - INFO - Epoch(train) [48][2040/3757] lr: 1.000e-03 eta: 14:32:11 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.5047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2963 loss: 1.2963 2022/06/28 11:26:28 - mmengine - INFO - Epoch(train) [48][2060/3757] lr: 1.000e-03 eta: 14:32:06 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 5.4962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/06/28 11:26:33 - mmengine - INFO - Epoch(train) [48][2080/3757] lr: 1.000e-03 eta: 14:32:01 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 7.1136 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9441 loss: 1.9441 2022/06/28 11:26:39 - mmengine - INFO - Epoch(train) [48][2100/3757] lr: 1.000e-03 eta: 14:31:56 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/06/28 11:26:44 - mmengine - INFO - Epoch(train) [48][2120/3757] lr: 1.000e-03 eta: 14:31:50 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.3813 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3468 loss: 1.3468 2022/06/28 11:26:49 - mmengine - INFO - Epoch(train) [48][2140/3757] lr: 1.000e-03 eta: 14:31:45 time: 0.719 data_time: 0.008 memory: 5150 grad_norm: 5.4938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/06/28 11:26:55 - mmengine - INFO - Epoch(train) [48][2160/3757] lr: 1.000e-03 eta: 14:31:40 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.1019 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5039 loss: 1.5039 2022/06/28 11:27:00 - mmengine - INFO - Epoch(train) [48][2180/3757] lr: 1.000e-03 eta: 14:31:35 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 6.4976 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6867 loss: 1.6867 2022/06/28 11:27:05 - mmengine - INFO - Epoch(train) [48][2200/3757] lr: 1.000e-03 eta: 14:31:29 time: 0.267 data_time: 0.013 memory: 5150 grad_norm: 5.5760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/06/28 11:27:10 - mmengine - INFO - Epoch(train) [48][2220/3757] lr: 1.000e-03 eta: 14:31:23 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.8165 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5946 loss: 1.5946 2022/06/28 11:27:16 - mmengine - INFO - Epoch(train) [48][2240/3757] lr: 1.000e-03 eta: 14:31:18 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 6.5586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0779 loss: 1.0779 2022/06/28 11:27:21 - mmengine - INFO - Epoch(train) [48][2260/3757] lr: 1.000e-03 eta: 14:31:13 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.1536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4625 loss: 1.4625 2022/06/28 11:27:26 - mmengine - INFO - Epoch(train) [48][2280/3757] lr: 1.000e-03 eta: 14:31:08 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.4180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6448 loss: 1.6448 2022/06/28 11:27:32 - mmengine - INFO - Epoch(train) [48][2300/3757] lr: 1.000e-03 eta: 14:31:02 time: 0.208 data_time: 0.032 memory: 5150 grad_norm: 5.9266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3298 loss: 1.3298 2022/06/28 11:27:37 - mmengine - INFO - Epoch(train) [48][2320/3757] lr: 1.000e-03 eta: 14:30:57 time: 0.218 data_time: 0.013 memory: 5150 grad_norm: 5.7775 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6760 loss: 1.6760 2022/06/28 11:27:43 - mmengine - INFO - Epoch(train) [48][2340/3757] lr: 1.000e-03 eta: 14:30:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.4816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9872 loss: 1.9872 2022/06/28 11:27:48 - mmengine - INFO - Epoch(train) [48][2360/3757] lr: 1.000e-03 eta: 14:30:46 time: 0.201 data_time: 0.030 memory: 5150 grad_norm: 6.5700 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6704 loss: 1.6704 2022/06/28 11:27:54 - mmengine - INFO - Epoch(train) [48][2380/3757] lr: 1.000e-03 eta: 14:30:42 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.5389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/06/28 11:27:59 - mmengine - INFO - Epoch(train) [48][2400/3757] lr: 1.000e-03 eta: 14:30:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.5929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/06/28 11:28:04 - mmengine - INFO - Epoch(train) [48][2420/3757] lr: 1.000e-03 eta: 14:30:31 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 7.8566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2880 loss: 1.2880 2022/06/28 11:28:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:28:10 - mmengine - INFO - Epoch(train) [48][2440/3757] lr: 1.000e-03 eta: 14:30:26 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 5.9854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2943 loss: 1.2943 2022/06/28 11:28:15 - mmengine - INFO - Epoch(train) [48][2460/3757] lr: 1.000e-03 eta: 14:30:20 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1318 loss: 1.1318 2022/06/28 11:28:20 - mmengine - INFO - Epoch(train) [48][2480/3757] lr: 1.000e-03 eta: 14:30:15 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.0612 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5650 loss: 1.5650 2022/06/28 11:28:25 - mmengine - INFO - Epoch(train) [48][2500/3757] lr: 1.000e-03 eta: 14:30:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.1996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5572 loss: 1.5572 2022/06/28 11:28:31 - mmengine - INFO - Epoch(train) [48][2520/3757] lr: 1.000e-03 eta: 14:30:04 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.4125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4883 loss: 1.4883 2022/06/28 11:28:36 - mmengine - INFO - Epoch(train) [48][2540/3757] lr: 1.000e-03 eta: 14:29:59 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.5768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/06/28 11:28:41 - mmengine - INFO - Epoch(train) [48][2560/3757] lr: 1.000e-03 eta: 14:29:54 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.1318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8035 loss: 1.8035 2022/06/28 11:28:47 - mmengine - INFO - Epoch(train) [48][2580/3757] lr: 1.000e-03 eta: 14:29:49 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.4518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3050 loss: 1.3050 2022/06/28 11:28:53 - mmengine - INFO - Epoch(train) [48][2600/3757] lr: 1.000e-03 eta: 14:29:44 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.0099 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5619 loss: 1.5619 2022/06/28 11:28:58 - mmengine - INFO - Epoch(train) [48][2620/3757] lr: 1.000e-03 eta: 14:29:38 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 5.6694 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3252 loss: 1.3252 2022/06/28 11:29:03 - mmengine - INFO - Epoch(train) [48][2640/3757] lr: 1.000e-03 eta: 14:29:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.8245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5606 loss: 1.5606 2022/06/28 11:29:09 - mmengine - INFO - Epoch(train) [48][2660/3757] lr: 1.000e-03 eta: 14:29:28 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.4032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/06/28 11:29:13 - mmengine - INFO - Epoch(train) [48][2680/3757] lr: 1.000e-03 eta: 14:29:22 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.2140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6352 loss: 1.6352 2022/06/28 11:29:19 - mmengine - INFO - Epoch(train) [48][2700/3757] lr: 1.000e-03 eta: 14:29:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7670 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/06/28 11:29:24 - mmengine - INFO - Epoch(train) [48][2720/3757] lr: 1.000e-03 eta: 14:29:11 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.8079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4124 loss: 1.4124 2022/06/28 11:29:29 - mmengine - INFO - Epoch(train) [48][2740/3757] lr: 1.000e-03 eta: 14:29:06 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 6.5140 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2971 loss: 1.2971 2022/06/28 11:29:35 - mmengine - INFO - Epoch(train) [48][2760/3757] lr: 1.000e-03 eta: 14:29:01 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.4938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/06/28 11:29:40 - mmengine - INFO - Epoch(train) [48][2780/3757] lr: 1.000e-03 eta: 14:28:55 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.2061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6453 loss: 1.6453 2022/06/28 11:29:45 - mmengine - INFO - Epoch(train) [48][2800/3757] lr: 1.000e-03 eta: 14:28:50 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 6.0771 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3913 loss: 1.3913 2022/06/28 11:29:51 - mmengine - INFO - Epoch(train) [48][2820/3757] lr: 1.000e-03 eta: 14:28:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7844 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9497 loss: 1.9497 2022/06/28 11:29:56 - mmengine - INFO - Epoch(train) [48][2840/3757] lr: 1.000e-03 eta: 14:28:39 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2298 loss: 1.2298 2022/06/28 11:30:01 - mmengine - INFO - Epoch(train) [48][2860/3757] lr: 1.000e-03 eta: 14:28:34 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.6720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3460 loss: 1.3460 2022/06/28 11:30:07 - mmengine - INFO - Epoch(train) [48][2880/3757] lr: 1.000e-03 eta: 14:28:30 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 6.9213 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/06/28 11:30:12 - mmengine - INFO - Epoch(train) [48][2900/3757] lr: 1.000e-03 eta: 14:28:24 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 5.8887 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6113 loss: 1.6113 2022/06/28 11:30:18 - mmengine - INFO - Epoch(train) [48][2920/3757] lr: 1.000e-03 eta: 14:28:19 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 6.5923 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1811 loss: 1.1811 2022/06/28 11:30:23 - mmengine - INFO - Epoch(train) [48][2940/3757] lr: 1.000e-03 eta: 14:28:14 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.8629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4567 loss: 1.4567 2022/06/28 11:30:29 - mmengine - INFO - Epoch(train) [48][2960/3757] lr: 1.000e-03 eta: 14:28:08 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 6.7879 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4995 loss: 1.4995 2022/06/28 11:30:34 - mmengine - INFO - Epoch(train) [48][2980/3757] lr: 1.000e-03 eta: 14:28:03 time: 0.467 data_time: 0.007 memory: 5150 grad_norm: 6.3234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3422 loss: 1.3422 2022/06/28 11:30:40 - mmengine - INFO - Epoch(train) [48][3000/3757] lr: 1.000e-03 eta: 14:27:58 time: 0.259 data_time: 0.008 memory: 5150 grad_norm: 6.6204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4036 loss: 1.4036 2022/06/28 11:30:45 - mmengine - INFO - Epoch(train) [48][3020/3757] lr: 1.000e-03 eta: 14:27:52 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 5.5184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6654 loss: 1.6654 2022/06/28 11:30:51 - mmengine - INFO - Epoch(train) [48][3040/3757] lr: 1.000e-03 eta: 14:27:48 time: 0.371 data_time: 0.008 memory: 5150 grad_norm: 7.4086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4017 loss: 1.4017 2022/06/28 11:30:56 - mmengine - INFO - Epoch(train) [48][3060/3757] lr: 1.000e-03 eta: 14:27:43 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.2993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4938 loss: 1.4938 2022/06/28 11:31:01 - mmengine - INFO - Epoch(train) [48][3080/3757] lr: 1.000e-03 eta: 14:27:37 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5548 loss: 1.5548 2022/06/28 11:31:06 - mmengine - INFO - Epoch(train) [48][3100/3757] lr: 1.000e-03 eta: 14:27:32 time: 0.683 data_time: 0.007 memory: 5150 grad_norm: 6.8606 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4582 loss: 1.4582 2022/06/28 11:31:12 - mmengine - INFO - Epoch(train) [48][3120/3757] lr: 1.000e-03 eta: 14:27:27 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 5.9938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4407 loss: 1.4407 2022/06/28 11:31:16 - mmengine - INFO - Epoch(train) [48][3140/3757] lr: 1.000e-03 eta: 14:27:20 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 6.8906 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1671 loss: 1.1671 2022/06/28 11:31:22 - mmengine - INFO - Epoch(train) [48][3160/3757] lr: 1.000e-03 eta: 14:27:15 time: 0.504 data_time: 0.007 memory: 5150 grad_norm: 6.2497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2109 loss: 1.2109 2022/06/28 11:31:27 - mmengine - INFO - Epoch(train) [48][3180/3757] lr: 1.000e-03 eta: 14:27:10 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.8319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1774 loss: 1.1774 2022/06/28 11:31:32 - mmengine - INFO - Epoch(train) [48][3200/3757] lr: 1.000e-03 eta: 14:27:04 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.6955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2592 loss: 1.2592 2022/06/28 11:31:38 - mmengine - INFO - Epoch(train) [48][3220/3757] lr: 1.000e-03 eta: 14:27:00 time: 1.001 data_time: 0.010 memory: 5150 grad_norm: 5.7080 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7421 loss: 1.7421 2022/06/28 11:31:43 - mmengine - INFO - Epoch(train) [48][3240/3757] lr: 1.000e-03 eta: 14:26:54 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.8050 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4543 loss: 1.4543 2022/06/28 11:31:49 - mmengine - INFO - Epoch(train) [48][3260/3757] lr: 1.000e-03 eta: 14:26:49 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 5.9923 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3162 loss: 1.3162 2022/06/28 11:31:54 - mmengine - INFO - Epoch(train) [48][3280/3757] lr: 1.000e-03 eta: 14:26:44 time: 0.809 data_time: 0.007 memory: 5150 grad_norm: 6.5316 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7642 loss: 1.7642 2022/06/28 11:32:00 - mmengine - INFO - Epoch(train) [48][3300/3757] lr: 1.000e-03 eta: 14:26:38 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 5.9900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/06/28 11:32:05 - mmengine - INFO - Epoch(train) [48][3320/3757] lr: 1.000e-03 eta: 14:26:33 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.0056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5316 loss: 1.5316 2022/06/28 11:32:10 - mmengine - INFO - Epoch(train) [48][3340/3757] lr: 1.000e-03 eta: 14:26:28 time: 0.828 data_time: 0.007 memory: 5150 grad_norm: 5.9347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6944 loss: 1.6944 2022/06/28 11:32:15 - mmengine - INFO - Epoch(train) [48][3360/3757] lr: 1.000e-03 eta: 14:26:22 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 5.5937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/06/28 11:32:21 - mmengine - INFO - Epoch(train) [48][3380/3757] lr: 1.000e-03 eta: 14:26:17 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 7.4279 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9376 loss: 1.9376 2022/06/28 11:32:25 - mmengine - INFO - Epoch(train) [48][3400/3757] lr: 1.000e-03 eta: 14:26:11 time: 0.422 data_time: 0.008 memory: 5150 grad_norm: 6.2525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3941 loss: 1.3941 2022/06/28 11:32:32 - mmengine - INFO - Epoch(train) [48][3420/3757] lr: 1.000e-03 eta: 14:26:07 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.9589 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/06/28 11:32:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:32:37 - mmengine - INFO - Epoch(train) [48][3440/3757] lr: 1.000e-03 eta: 14:26:02 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.4572 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2569 loss: 1.2569 2022/06/28 11:32:42 - mmengine - INFO - Epoch(train) [48][3460/3757] lr: 1.000e-03 eta: 14:25:55 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.5037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5640 loss: 1.5640 2022/06/28 11:32:48 - mmengine - INFO - Epoch(train) [48][3480/3757] lr: 1.000e-03 eta: 14:25:51 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.1893 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7037 loss: 1.7037 2022/06/28 11:32:53 - mmengine - INFO - Epoch(train) [48][3500/3757] lr: 1.000e-03 eta: 14:25:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.4499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5676 loss: 1.5676 2022/06/28 11:32:58 - mmengine - INFO - Epoch(train) [48][3520/3757] lr: 1.000e-03 eta: 14:25:40 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.5316 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6452 loss: 1.6452 2022/06/28 11:33:03 - mmengine - INFO - Epoch(train) [48][3540/3757] lr: 1.000e-03 eta: 14:25:34 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.3068 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0551 loss: 1.0551 2022/06/28 11:33:09 - mmengine - INFO - Epoch(train) [48][3560/3757] lr: 1.000e-03 eta: 14:25:30 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 6.7176 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4462 loss: 1.4462 2022/06/28 11:33:14 - mmengine - INFO - Epoch(train) [48][3580/3757] lr: 1.000e-03 eta: 14:25:24 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.0446 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3682 loss: 1.3682 2022/06/28 11:33:19 - mmengine - INFO - Epoch(train) [48][3600/3757] lr: 1.000e-03 eta: 14:25:19 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.6345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3316 loss: 1.3316 2022/06/28 11:33:25 - mmengine - INFO - Epoch(train) [48][3620/3757] lr: 1.000e-03 eta: 14:25:14 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 6.9197 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5961 loss: 1.5961 2022/06/28 11:33:30 - mmengine - INFO - Epoch(train) [48][3640/3757] lr: 1.000e-03 eta: 14:25:08 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 7.0581 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8999 loss: 1.8999 2022/06/28 11:33:35 - mmengine - INFO - Epoch(train) [48][3660/3757] lr: 1.000e-03 eta: 14:25:03 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.2728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4626 loss: 1.4626 2022/06/28 11:33:41 - mmengine - INFO - Epoch(train) [48][3680/3757] lr: 1.000e-03 eta: 14:24:58 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.9239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5504 loss: 1.5504 2022/06/28 11:33:46 - mmengine - INFO - Epoch(train) [48][3700/3757] lr: 1.000e-03 eta: 14:24:52 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/06/28 11:33:50 - mmengine - INFO - Epoch(train) [48][3720/3757] lr: 1.000e-03 eta: 14:24:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.6116 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5649 loss: 1.5649 2022/06/28 11:33:56 - mmengine - INFO - Epoch(train) [48][3740/3757] lr: 1.000e-03 eta: 14:24:41 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.0322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3159 loss: 1.3159 2022/06/28 11:33:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:34:33 - mmengine - INFO - Epoch(val) [48][20/310] eta: 0:05:49 time: 1.203 data_time: 0.556 memory: 9746 2022/06/28 11:34:57 - mmengine - INFO - Epoch(val) [48][40/310] eta: 0:05:59 time: 1.598 data_time: 0.345 memory: 9746 2022/06/28 11:35:28 - mmengine - INFO - Epoch(val) [48][60/310] eta: 0:06:06 time: 1.485 data_time: 0.243 memory: 9746 2022/06/28 11:35:52 - mmengine - INFO - Epoch(val) [48][80/310] eta: 0:03:36 time: 0.847 data_time: 0.234 memory: 9746 2022/06/28 11:36:13 - mmengine - INFO - Epoch(val) [48][100/310] eta: 0:04:00 time: 1.032 data_time: 0.375 memory: 9746 2022/06/28 11:36:34 - mmengine - INFO - Epoch(val) [48][120/310] eta: 0:03:29 time: 0.976 data_time: 0.302 memory: 9746 2022/06/28 11:36:56 - mmengine - INFO - Epoch(val) [48][140/310] eta: 0:03:07 time: 0.997 data_time: 0.367 memory: 9746 2022/06/28 11:37:15 - mmengine - INFO - Epoch(val) [48][160/310] eta: 0:02:30 time: 1.068 data_time: 0.419 memory: 9746 2022/06/28 11:37:36 - mmengine - INFO - Epoch(val) [48][180/310] eta: 0:02:17 time: 1.025 data_time: 0.376 memory: 9746 2022/06/28 11:37:56 - mmengine - INFO - Epoch(val) [48][200/310] eta: 0:01:54 time: 1.077 data_time: 0.422 memory: 9746 2022/06/28 11:38:19 - mmengine - INFO - Epoch(val) [48][220/310] eta: 0:01:42 time: 1.041 data_time: 0.385 memory: 9746 2022/06/28 11:38:42 - mmengine - INFO - Epoch(val) [48][240/310] eta: 0:01:18 time: 0.998 data_time: 0.344 memory: 9746 2022/06/28 11:39:04 - mmengine - INFO - Epoch(val) [48][260/310] eta: 0:00:59 time: 1.073 data_time: 0.439 memory: 9746 2022/06/28 11:39:28 - mmengine - INFO - Epoch(val) [48][280/310] eta: 0:00:36 time: 0.954 data_time: 0.289 memory: 9746 2022/06/28 11:39:47 - mmengine - INFO - Epoch(val) [48][300/310] eta: 0:00:08 time: 0.770 data_time: 0.173 memory: 9746 2022/06/28 11:40:06 - mmengine - INFO - Epoch(val) [48][310/310] acc/top1: 0.6967 acc/top5: 0.8917 acc/mean1: 0.6966 2022/06/28 11:40:15 - mmengine - INFO - Epoch(train) [49][20/3757] lr: 1.000e-03 eta: 14:24:32 time: 0.202 data_time: 0.007 memory: 9746 grad_norm: 5.9883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4444 loss: 1.4444 2022/06/28 11:40:21 - mmengine - INFO - Epoch(train) [49][40/3757] lr: 1.000e-03 eta: 14:24:27 time: 0.306 data_time: 0.016 memory: 5150 grad_norm: 7.0553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5661 loss: 1.5661 2022/06/28 11:40:26 - mmengine - INFO - Epoch(train) [49][60/3757] lr: 1.000e-03 eta: 14:24:21 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.9621 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5928 loss: 1.5928 2022/06/28 11:40:31 - mmengine - INFO - Epoch(train) [49][80/3757] lr: 1.000e-03 eta: 14:24:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7305 loss: 1.7305 2022/06/28 11:40:37 - mmengine - INFO - Epoch(train) [49][100/3757] lr: 1.000e-03 eta: 14:24:12 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4072 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5030 loss: 1.5030 2022/06/28 11:40:42 - mmengine - INFO - Epoch(train) [49][120/3757] lr: 1.000e-03 eta: 14:24:06 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.2785 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4691 loss: 1.4691 2022/06/28 11:40:48 - mmengine - INFO - Epoch(train) [49][140/3757] lr: 1.000e-03 eta: 14:24:01 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.5442 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7988 loss: 1.7988 2022/06/28 11:40:54 - mmengine - INFO - Epoch(train) [49][160/3757] lr: 1.000e-03 eta: 14:23:56 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.9319 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0199 loss: 2.0199 2022/06/28 11:40:59 - mmengine - INFO - Epoch(train) [49][180/3757] lr: 1.000e-03 eta: 14:23:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.5616 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6016 loss: 1.6016 2022/06/28 11:41:04 - mmengine - INFO - Epoch(train) [49][200/3757] lr: 1.000e-03 eta: 14:23:45 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.9542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3048 loss: 1.3048 2022/06/28 11:41:09 - mmengine - INFO - Epoch(train) [49][220/3757] lr: 1.000e-03 eta: 14:23:40 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.6729 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/06/28 11:41:14 - mmengine - INFO - Epoch(train) [49][240/3757] lr: 1.000e-03 eta: 14:23:34 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.2079 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 1.4154 loss: 1.4154 2022/06/28 11:41:20 - mmengine - INFO - Epoch(train) [49][260/3757] lr: 1.000e-03 eta: 14:23:29 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.7958 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5007 loss: 1.5007 2022/06/28 11:41:26 - mmengine - INFO - Epoch(train) [49][280/3757] lr: 1.000e-03 eta: 14:23:24 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6112 loss: 1.6112 2022/06/28 11:41:30 - mmengine - INFO - Epoch(train) [49][300/3757] lr: 1.000e-03 eta: 14:23:18 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.1209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5844 loss: 1.5844 2022/06/28 11:41:36 - mmengine - INFO - Epoch(train) [49][320/3757] lr: 1.000e-03 eta: 14:23:13 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.1592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4332 loss: 1.4332 2022/06/28 11:41:42 - mmengine - INFO - Epoch(train) [49][340/3757] lr: 1.000e-03 eta: 14:23:08 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 6.7522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5871 loss: 1.5871 2022/06/28 11:41:46 - mmengine - INFO - Epoch(train) [49][360/3757] lr: 1.000e-03 eta: 14:23:02 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.7753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6466 loss: 1.6466 2022/06/28 11:41:53 - mmengine - INFO - Epoch(train) [49][380/3757] lr: 1.000e-03 eta: 14:22:58 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.9408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/06/28 11:41:57 - mmengine - INFO - Epoch(train) [49][400/3757] lr: 1.000e-03 eta: 14:22:52 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.5547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5932 loss: 1.5932 2022/06/28 11:42:02 - mmengine - INFO - Epoch(train) [49][420/3757] lr: 1.000e-03 eta: 14:22:46 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.9355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3097 loss: 1.3097 2022/06/28 11:42:08 - mmengine - INFO - Epoch(train) [49][440/3757] lr: 1.000e-03 eta: 14:22:41 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.2998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2558 loss: 1.2558 2022/06/28 11:42:14 - mmengine - INFO - Epoch(train) [49][460/3757] lr: 1.000e-03 eta: 14:22:37 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.4890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/06/28 11:42:18 - mmengine - INFO - Epoch(train) [49][480/3757] lr: 1.000e-03 eta: 14:22:31 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 6.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3857 loss: 1.3857 2022/06/28 11:42:24 - mmengine - INFO - Epoch(train) [49][500/3757] lr: 1.000e-03 eta: 14:22:26 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 5.9612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6272 loss: 1.6272 2022/06/28 11:42:29 - mmengine - INFO - Epoch(train) [49][520/3757] lr: 1.000e-03 eta: 14:22:21 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/06/28 11:42:34 - mmengine - INFO - Epoch(train) [49][540/3757] lr: 1.000e-03 eta: 14:22:15 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.8636 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6364 loss: 1.6364 2022/06/28 11:42:40 - mmengine - INFO - Epoch(train) [49][560/3757] lr: 1.000e-03 eta: 14:22:10 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 6.2914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4765 loss: 1.4765 2022/06/28 11:42:46 - mmengine - INFO - Epoch(train) [49][580/3757] lr: 1.000e-03 eta: 14:22:05 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 4.9870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3311 loss: 1.3311 2022/06/28 11:42:50 - mmengine - INFO - Epoch(train) [49][600/3757] lr: 1.000e-03 eta: 14:21:59 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.0598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2806 loss: 1.2806 2022/06/28 11:42:56 - mmengine - INFO - Epoch(train) [49][620/3757] lr: 1.000e-03 eta: 14:21:54 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 5.9036 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/06/28 11:43:02 - mmengine - INFO - Epoch(train) [49][640/3757] lr: 1.000e-03 eta: 14:21:49 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3735 loss: 1.3735 2022/06/28 11:43:07 - mmengine - INFO - Epoch(train) [49][660/3757] lr: 1.000e-03 eta: 14:21:43 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.0152 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4226 loss: 1.4226 2022/06/28 11:43:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:43:12 - mmengine - INFO - Epoch(train) [49][680/3757] lr: 1.000e-03 eta: 14:21:38 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.3291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/06/28 11:43:18 - mmengine - INFO - Epoch(train) [49][700/3757] lr: 1.000e-03 eta: 14:21:33 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.5142 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7905 loss: 1.7905 2022/06/28 11:43:23 - mmengine - INFO - Epoch(train) [49][720/3757] lr: 1.000e-03 eta: 14:21:27 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.3697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3993 loss: 1.3993 2022/06/28 11:43:29 - mmengine - INFO - Epoch(train) [49][740/3757] lr: 1.000e-03 eta: 14:21:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1600 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4670 loss: 1.4670 2022/06/28 11:43:34 - mmengine - INFO - Epoch(train) [49][760/3757] lr: 1.000e-03 eta: 14:21:18 time: 0.223 data_time: 0.049 memory: 5150 grad_norm: 7.0621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4760 loss: 1.4760 2022/06/28 11:43:39 - mmengine - INFO - Epoch(train) [49][780/3757] lr: 1.000e-03 eta: 14:21:11 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 6.7418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5434 loss: 1.5434 2022/06/28 11:43:43 - mmengine - INFO - Epoch(train) [49][800/3757] lr: 1.000e-03 eta: 14:21:05 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.0958 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4324 loss: 1.4324 2022/06/28 11:43:48 - mmengine - INFO - Epoch(train) [49][820/3757] lr: 1.000e-03 eta: 14:21:00 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 7.2288 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5239 loss: 1.5239 2022/06/28 11:43:54 - mmengine - INFO - Epoch(train) [49][840/3757] lr: 1.000e-03 eta: 14:20:55 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 6.8014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/06/28 11:43:59 - mmengine - INFO - Epoch(train) [49][860/3757] lr: 1.000e-03 eta: 14:20:50 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.3874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/06/28 11:44:05 - mmengine - INFO - Epoch(train) [49][880/3757] lr: 1.000e-03 eta: 14:20:44 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 6.1338 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4846 loss: 1.4846 2022/06/28 11:44:10 - mmengine - INFO - Epoch(train) [49][900/3757] lr: 1.000e-03 eta: 14:20:39 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.8570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3118 loss: 1.3118 2022/06/28 11:44:16 - mmengine - INFO - Epoch(train) [49][920/3757] lr: 1.000e-03 eta: 14:20:34 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.6263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/06/28 11:44:21 - mmengine - INFO - Epoch(train) [49][940/3757] lr: 1.000e-03 eta: 14:20:29 time: 0.244 data_time: 0.010 memory: 5150 grad_norm: 6.0153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4857 loss: 1.4857 2022/06/28 11:44:26 - mmengine - INFO - Epoch(train) [49][960/3757] lr: 1.000e-03 eta: 14:20:23 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.3617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3188 loss: 1.3188 2022/06/28 11:44:31 - mmengine - INFO - Epoch(train) [49][980/3757] lr: 1.000e-03 eta: 14:20:18 time: 0.286 data_time: 0.007 memory: 5150 grad_norm: 6.5601 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7318 loss: 1.7318 2022/06/28 11:44:37 - mmengine - INFO - Epoch(train) [49][1000/3757] lr: 1.000e-03 eta: 14:20:13 time: 0.364 data_time: 0.015 memory: 5150 grad_norm: 5.5148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7160 loss: 1.7160 2022/06/28 11:44:42 - mmengine - INFO - Epoch(train) [49][1020/3757] lr: 1.000e-03 eta: 14:20:07 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.3899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4099 loss: 1.4099 2022/06/28 11:44:48 - mmengine - INFO - Epoch(train) [49][1040/3757] lr: 1.000e-03 eta: 14:20:02 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.4920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/06/28 11:44:53 - mmengine - INFO - Epoch(train) [49][1060/3757] lr: 1.000e-03 eta: 14:19:57 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.2450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1644 loss: 1.1644 2022/06/28 11:44:58 - mmengine - INFO - Epoch(train) [49][1080/3757] lr: 1.000e-03 eta: 14:19:52 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.6648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5371 loss: 1.5371 2022/06/28 11:45:04 - mmengine - INFO - Epoch(train) [49][1100/3757] lr: 1.000e-03 eta: 14:19:47 time: 0.216 data_time: 0.006 memory: 5150 grad_norm: 7.9008 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5265 loss: 1.5265 2022/06/28 11:45:09 - mmengine - INFO - Epoch(train) [49][1120/3757] lr: 1.000e-03 eta: 14:19:41 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 6.0645 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3013 loss: 1.3013 2022/06/28 11:45:14 - mmengine - INFO - Epoch(train) [49][1140/3757] lr: 1.000e-03 eta: 14:19:36 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.8708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1532 loss: 1.1532 2022/06/28 11:45:20 - mmengine - INFO - Epoch(train) [49][1160/3757] lr: 1.000e-03 eta: 14:19:31 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.9568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6533 loss: 1.6533 2022/06/28 11:45:25 - mmengine - INFO - Epoch(train) [49][1180/3757] lr: 1.000e-03 eta: 14:19:25 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 6.5808 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4658 loss: 1.4658 2022/06/28 11:45:30 - mmengine - INFO - Epoch(train) [49][1200/3757] lr: 1.000e-03 eta: 14:19:20 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.4154 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3900 loss: 1.3900 2022/06/28 11:45:36 - mmengine - INFO - Epoch(train) [49][1220/3757] lr: 1.000e-03 eta: 14:19:15 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 6.2564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7779 loss: 1.7779 2022/06/28 11:45:42 - mmengine - INFO - Epoch(train) [49][1240/3757] lr: 1.000e-03 eta: 14:19:10 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.5082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/06/28 11:45:47 - mmengine - INFO - Epoch(train) [49][1260/3757] lr: 1.000e-03 eta: 14:19:04 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.7551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2515 loss: 1.2515 2022/06/28 11:45:52 - mmengine - INFO - Epoch(train) [49][1280/3757] lr: 1.000e-03 eta: 14:19:00 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.3593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7105 loss: 1.7105 2022/06/28 11:45:58 - mmengine - INFO - Epoch(train) [49][1300/3757] lr: 1.000e-03 eta: 14:18:54 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.9786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6936 loss: 1.6936 2022/06/28 11:46:03 - mmengine - INFO - Epoch(train) [49][1320/3757] lr: 1.000e-03 eta: 14:18:48 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.3561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5072 loss: 1.5072 2022/06/28 11:46:08 - mmengine - INFO - Epoch(train) [49][1340/3757] lr: 1.000e-03 eta: 14:18:43 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.1793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6269 loss: 1.6269 2022/06/28 11:46:14 - mmengine - INFO - Epoch(train) [49][1360/3757] lr: 1.000e-03 eta: 14:18:38 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 5.9538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6395 loss: 1.6395 2022/06/28 11:46:19 - mmengine - INFO - Epoch(train) [49][1380/3757] lr: 1.000e-03 eta: 14:18:32 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.2953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/06/28 11:46:24 - mmengine - INFO - Epoch(train) [49][1400/3757] lr: 1.000e-03 eta: 14:18:27 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 6.0095 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5521 loss: 1.5521 2022/06/28 11:46:29 - mmengine - INFO - Epoch(train) [49][1420/3757] lr: 1.000e-03 eta: 14:18:22 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 6.2580 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1125 loss: 1.1125 2022/06/28 11:46:35 - mmengine - INFO - Epoch(train) [49][1440/3757] lr: 1.000e-03 eta: 14:18:17 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.5598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7513 loss: 1.7513 2022/06/28 11:46:41 - mmengine - INFO - Epoch(train) [49][1460/3757] lr: 1.000e-03 eta: 14:18:12 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0430 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3244 loss: 1.3244 2022/06/28 11:46:46 - mmengine - INFO - Epoch(train) [49][1480/3757] lr: 1.000e-03 eta: 14:18:07 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 7.2552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2377 loss: 1.2377 2022/06/28 11:46:51 - mmengine - INFO - Epoch(train) [49][1500/3757] lr: 1.000e-03 eta: 14:18:01 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.6550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3641 loss: 1.3641 2022/06/28 11:46:57 - mmengine - INFO - Epoch(train) [49][1520/3757] lr: 1.000e-03 eta: 14:17:56 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 5.8697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5905 loss: 1.5905 2022/06/28 11:47:02 - mmengine - INFO - Epoch(train) [49][1540/3757] lr: 1.000e-03 eta: 14:17:50 time: 0.228 data_time: 0.037 memory: 5150 grad_norm: 6.2773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4551 loss: 1.4551 2022/06/28 11:47:07 - mmengine - INFO - Epoch(train) [49][1560/3757] lr: 1.000e-03 eta: 14:17:45 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.2801 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0676 loss: 1.0676 2022/06/28 11:47:14 - mmengine - INFO - Epoch(train) [49][1580/3757] lr: 1.000e-03 eta: 14:17:41 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.2212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5763 loss: 1.5763 2022/06/28 11:47:18 - mmengine - INFO - Epoch(train) [49][1600/3757] lr: 1.000e-03 eta: 14:17:35 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 5.9244 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6744 loss: 1.6744 2022/06/28 11:47:23 - mmengine - INFO - Epoch(train) [49][1620/3757] lr: 1.000e-03 eta: 14:17:29 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 5.9442 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/06/28 11:47:28 - mmengine - INFO - Epoch(train) [49][1640/3757] lr: 1.000e-03 eta: 14:17:24 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.7983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7480 loss: 1.7480 2022/06/28 11:47:33 - mmengine - INFO - Epoch(train) [49][1660/3757] lr: 1.000e-03 eta: 14:17:18 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.1291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5622 loss: 1.5622 2022/06/28 11:47:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:47:38 - mmengine - INFO - Epoch(train) [49][1680/3757] lr: 1.000e-03 eta: 14:17:13 time: 0.206 data_time: 0.024 memory: 5150 grad_norm: 6.1792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/06/28 11:47:44 - mmengine - INFO - Epoch(train) [49][1700/3757] lr: 1.000e-03 eta: 14:17:08 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.9285 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6029 loss: 1.6029 2022/06/28 11:47:49 - mmengine - INFO - Epoch(train) [49][1720/3757] lr: 1.000e-03 eta: 14:17:02 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.3516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3937 loss: 1.3937 2022/06/28 11:47:55 - mmengine - INFO - Epoch(train) [49][1740/3757] lr: 1.000e-03 eta: 14:16:57 time: 0.223 data_time: 0.019 memory: 5150 grad_norm: 6.7869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1356 loss: 1.1356 2022/06/28 11:48:00 - mmengine - INFO - Epoch(train) [49][1760/3757] lr: 1.000e-03 eta: 14:16:52 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 5.8383 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5877 loss: 1.5877 2022/06/28 11:48:05 - mmengine - INFO - Epoch(train) [49][1780/3757] lr: 1.000e-03 eta: 14:16:46 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 7.4449 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5867 loss: 1.5867 2022/06/28 11:48:10 - mmengine - INFO - Epoch(train) [49][1800/3757] lr: 1.000e-03 eta: 14:16:41 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 5.9056 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5608 loss: 1.5608 2022/06/28 11:48:16 - mmengine - INFO - Epoch(train) [49][1820/3757] lr: 1.000e-03 eta: 14:16:36 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.1459 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/06/28 11:48:21 - mmengine - INFO - Epoch(train) [49][1840/3757] lr: 1.000e-03 eta: 14:16:30 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 6.6341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4530 loss: 1.4530 2022/06/28 11:48:27 - mmengine - INFO - Epoch(train) [49][1860/3757] lr: 1.000e-03 eta: 14:16:25 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 6.5956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0959 loss: 1.0959 2022/06/28 11:48:32 - mmengine - INFO - Epoch(train) [49][1880/3757] lr: 1.000e-03 eta: 14:16:20 time: 0.200 data_time: 0.022 memory: 5150 grad_norm: 6.3916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/06/28 11:48:37 - mmengine - INFO - Epoch(train) [49][1900/3757] lr: 1.000e-03 eta: 14:16:15 time: 0.206 data_time: 0.024 memory: 5150 grad_norm: 6.6166 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6003 loss: 1.6003 2022/06/28 11:48:43 - mmengine - INFO - Epoch(train) [49][1920/3757] lr: 1.000e-03 eta: 14:16:09 time: 0.206 data_time: 0.022 memory: 5150 grad_norm: 6.8547 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4083 loss: 1.4083 2022/06/28 11:48:48 - mmengine - INFO - Epoch(train) [49][1940/3757] lr: 1.000e-03 eta: 14:16:04 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.9184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7599 loss: 1.7599 2022/06/28 11:48:54 - mmengine - INFO - Epoch(train) [49][1960/3757] lr: 1.000e-03 eta: 14:16:00 time: 0.213 data_time: 0.022 memory: 5150 grad_norm: 5.9214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/06/28 11:48:59 - mmengine - INFO - Epoch(train) [49][1980/3757] lr: 1.000e-03 eta: 14:15:54 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.2583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2537 loss: 1.2537 2022/06/28 11:49:05 - mmengine - INFO - Epoch(train) [49][2000/3757] lr: 1.000e-03 eta: 14:15:49 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.2711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5774 loss: 1.5774 2022/06/28 11:49:10 - mmengine - INFO - Epoch(train) [49][2020/3757] lr: 1.000e-03 eta: 14:15:44 time: 0.200 data_time: 0.023 memory: 5150 grad_norm: 7.0898 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7533 loss: 1.7533 2022/06/28 11:49:15 - mmengine - INFO - Epoch(train) [49][2040/3757] lr: 1.000e-03 eta: 14:15:38 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 6.8648 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2708 loss: 1.2708 2022/06/28 11:49:20 - mmengine - INFO - Epoch(train) [49][2060/3757] lr: 1.000e-03 eta: 14:15:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.3239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4996 loss: 1.4996 2022/06/28 11:49:26 - mmengine - INFO - Epoch(train) [49][2080/3757] lr: 1.000e-03 eta: 14:15:27 time: 0.219 data_time: 0.021 memory: 5150 grad_norm: 5.6082 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/06/28 11:49:31 - mmengine - INFO - Epoch(train) [49][2100/3757] lr: 1.000e-03 eta: 14:15:22 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 5.6275 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0875 loss: 1.0875 2022/06/28 11:49:36 - mmengine - INFO - Epoch(train) [49][2120/3757] lr: 1.000e-03 eta: 14:15:17 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.4827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1883 loss: 1.1883 2022/06/28 11:49:42 - mmengine - INFO - Epoch(train) [49][2140/3757] lr: 1.000e-03 eta: 14:15:12 time: 0.238 data_time: 0.060 memory: 5150 grad_norm: 7.2113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6699 loss: 1.6699 2022/06/28 11:49:47 - mmengine - INFO - Epoch(train) [49][2160/3757] lr: 1.000e-03 eta: 14:15:06 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.7142 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5936 loss: 1.5936 2022/06/28 11:49:53 - mmengine - INFO - Epoch(train) [49][2180/3757] lr: 1.000e-03 eta: 14:15:01 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3641 loss: 1.3641 2022/06/28 11:49:58 - mmengine - INFO - Epoch(train) [49][2200/3757] lr: 1.000e-03 eta: 14:14:56 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.1839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/06/28 11:50:03 - mmengine - INFO - Epoch(train) [49][2220/3757] lr: 1.000e-03 eta: 14:14:50 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.6429 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6224 loss: 1.6224 2022/06/28 11:50:09 - mmengine - INFO - Epoch(train) [49][2240/3757] lr: 1.000e-03 eta: 14:14:45 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3452 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6400 loss: 1.6400 2022/06/28 11:50:14 - mmengine - INFO - Epoch(train) [49][2260/3757] lr: 1.000e-03 eta: 14:14:40 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 5.6180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5711 loss: 1.5711 2022/06/28 11:50:19 - mmengine - INFO - Epoch(train) [49][2280/3757] lr: 1.000e-03 eta: 14:14:34 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 6.3148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/06/28 11:50:25 - mmengine - INFO - Epoch(train) [49][2300/3757] lr: 1.000e-03 eta: 14:14:29 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 7.1039 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4164 loss: 1.4164 2022/06/28 11:50:30 - mmengine - INFO - Epoch(train) [49][2320/3757] lr: 1.000e-03 eta: 14:14:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.3346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3761 loss: 1.3761 2022/06/28 11:50:35 - mmengine - INFO - Epoch(train) [49][2340/3757] lr: 1.000e-03 eta: 14:14:18 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 6.1574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/06/28 11:50:41 - mmengine - INFO - Epoch(train) [49][2360/3757] lr: 1.000e-03 eta: 14:14:13 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 6.3389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3087 loss: 2.3087 2022/06/28 11:50:46 - mmengine - INFO - Epoch(train) [49][2380/3757] lr: 1.000e-03 eta: 14:14:08 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.9629 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4550 loss: 1.4550 2022/06/28 11:50:50 - mmengine - INFO - Epoch(train) [49][2400/3757] lr: 1.000e-03 eta: 14:14:02 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.3188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7097 loss: 1.7097 2022/06/28 11:50:56 - mmengine - INFO - Epoch(train) [49][2420/3757] lr: 1.000e-03 eta: 14:13:57 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 6.6143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2949 loss: 1.2949 2022/06/28 11:51:02 - mmengine - INFO - Epoch(train) [49][2440/3757] lr: 1.000e-03 eta: 14:13:52 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.8329 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/06/28 11:51:07 - mmengine - INFO - Epoch(train) [49][2460/3757] lr: 1.000e-03 eta: 14:13:46 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.5550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2465 loss: 1.2465 2022/06/28 11:51:12 - mmengine - INFO - Epoch(train) [49][2480/3757] lr: 1.000e-03 eta: 14:13:41 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 6.4782 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5697 loss: 1.5697 2022/06/28 11:51:18 - mmengine - INFO - Epoch(train) [49][2500/3757] lr: 1.000e-03 eta: 14:13:37 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 7.0551 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/06/28 11:51:23 - mmengine - INFO - Epoch(train) [49][2520/3757] lr: 1.000e-03 eta: 14:13:31 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.2475 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3990 loss: 1.3990 2022/06/28 11:51:28 - mmengine - INFO - Epoch(train) [49][2540/3757] lr: 1.000e-03 eta: 14:13:25 time: 0.214 data_time: 0.018 memory: 5150 grad_norm: 6.8096 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5692 loss: 1.5692 2022/06/28 11:51:34 - mmengine - INFO - Epoch(train) [49][2560/3757] lr: 1.000e-03 eta: 14:13:20 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.5081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5309 loss: 1.5309 2022/06/28 11:51:39 - mmengine - INFO - Epoch(train) [49][2580/3757] lr: 1.000e-03 eta: 14:13:15 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 6.5435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2240 loss: 1.2240 2022/06/28 11:51:44 - mmengine - INFO - Epoch(train) [49][2600/3757] lr: 1.000e-03 eta: 14:13:10 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.4518 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7913 loss: 1.7913 2022/06/28 11:51:50 - mmengine - INFO - Epoch(train) [49][2620/3757] lr: 1.000e-03 eta: 14:13:05 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 6.9676 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4485 loss: 1.4485 2022/06/28 11:51:55 - mmengine - INFO - Epoch(train) [49][2640/3757] lr: 1.000e-03 eta: 14:12:59 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 5.0419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7691 loss: 1.7691 2022/06/28 11:52:00 - mmengine - INFO - Epoch(train) [49][2660/3757] lr: 1.000e-03 eta: 14:12:54 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.7518 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2783 loss: 1.2783 2022/06/28 11:52:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:52:06 - mmengine - INFO - Epoch(train) [49][2680/3757] lr: 1.000e-03 eta: 14:12:49 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 5.7084 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8213 loss: 1.8213 2022/06/28 11:52:11 - mmengine - INFO - Epoch(train) [49][2700/3757] lr: 1.000e-03 eta: 14:12:43 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 5.6758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3467 loss: 1.3467 2022/06/28 11:52:16 - mmengine - INFO - Epoch(train) [49][2720/3757] lr: 1.000e-03 eta: 14:12:38 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 6.9175 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/06/28 11:52:22 - mmengine - INFO - Epoch(train) [49][2740/3757] lr: 1.000e-03 eta: 14:12:32 time: 0.275 data_time: 0.007 memory: 5150 grad_norm: 5.8359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/06/28 11:52:26 - mmengine - INFO - Epoch(train) [49][2760/3757] lr: 1.000e-03 eta: 14:12:27 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.2449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4670 loss: 1.4670 2022/06/28 11:52:33 - mmengine - INFO - Epoch(train) [49][2780/3757] lr: 1.000e-03 eta: 14:12:22 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.2440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6722 loss: 1.6722 2022/06/28 11:52:37 - mmengine - INFO - Epoch(train) [49][2800/3757] lr: 1.000e-03 eta: 14:12:16 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 7.1400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4237 loss: 1.4237 2022/06/28 11:52:43 - mmengine - INFO - Epoch(train) [49][2820/3757] lr: 1.000e-03 eta: 14:12:11 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 6.2709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6986 loss: 1.6986 2022/06/28 11:52:48 - mmengine - INFO - Epoch(train) [49][2840/3757] lr: 1.000e-03 eta: 14:12:06 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.6405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4118 loss: 1.4118 2022/06/28 11:52:54 - mmengine - INFO - Epoch(train) [49][2860/3757] lr: 1.000e-03 eta: 14:12:01 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.4981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3179 loss: 1.3179 2022/06/28 11:52:59 - mmengine - INFO - Epoch(train) [49][2880/3757] lr: 1.000e-03 eta: 14:11:55 time: 0.433 data_time: 0.007 memory: 5150 grad_norm: 5.5575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3991 loss: 1.3991 2022/06/28 11:53:04 - mmengine - INFO - Epoch(train) [49][2900/3757] lr: 1.000e-03 eta: 14:11:50 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.3668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7524 loss: 1.7524 2022/06/28 11:53:10 - mmengine - INFO - Epoch(train) [49][2920/3757] lr: 1.000e-03 eta: 14:11:45 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.7185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6158 loss: 1.6158 2022/06/28 11:53:15 - mmengine - INFO - Epoch(train) [49][2940/3757] lr: 1.000e-03 eta: 14:11:39 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.5438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6352 loss: 1.6352 2022/06/28 11:53:20 - mmengine - INFO - Epoch(train) [49][2960/3757] lr: 1.000e-03 eta: 14:11:34 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1148 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4158 loss: 1.4158 2022/06/28 11:53:25 - mmengine - INFO - Epoch(train) [49][2980/3757] lr: 1.000e-03 eta: 14:11:29 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.2460 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3894 loss: 1.3894 2022/06/28 11:53:31 - mmengine - INFO - Epoch(train) [49][3000/3757] lr: 1.000e-03 eta: 14:11:23 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.1214 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/06/28 11:53:36 - mmengine - INFO - Epoch(train) [49][3020/3757] lr: 1.000e-03 eta: 14:11:18 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.4571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6622 loss: 1.6622 2022/06/28 11:53:42 - mmengine - INFO - Epoch(train) [49][3040/3757] lr: 1.000e-03 eta: 14:11:13 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 6.5871 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.4970 loss: 1.4970 2022/06/28 11:53:47 - mmengine - INFO - Epoch(train) [49][3060/3757] lr: 1.000e-03 eta: 14:11:07 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 5.5128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4879 loss: 1.4879 2022/06/28 11:53:52 - mmengine - INFO - Epoch(train) [49][3080/3757] lr: 1.000e-03 eta: 14:11:02 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.0320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4675 loss: 1.4675 2022/06/28 11:53:58 - mmengine - INFO - Epoch(train) [49][3100/3757] lr: 1.000e-03 eta: 14:10:57 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.2583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1990 loss: 1.1990 2022/06/28 11:54:03 - mmengine - INFO - Epoch(train) [49][3120/3757] lr: 1.000e-03 eta: 14:10:52 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9839 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4066 loss: 1.4066 2022/06/28 11:54:09 - mmengine - INFO - Epoch(train) [49][3140/3757] lr: 1.000e-03 eta: 14:10:47 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.4448 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3665 loss: 1.3665 2022/06/28 11:54:14 - mmengine - INFO - Epoch(train) [49][3160/3757] lr: 1.000e-03 eta: 14:10:42 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 7.3367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2416 loss: 1.2416 2022/06/28 11:54:19 - mmengine - INFO - Epoch(train) [49][3180/3757] lr: 1.000e-03 eta: 14:10:36 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.6001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4964 loss: 1.4964 2022/06/28 11:54:25 - mmengine - INFO - Epoch(train) [49][3200/3757] lr: 1.000e-03 eta: 14:10:31 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 5.9702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2126 loss: 1.2126 2022/06/28 11:54:30 - mmengine - INFO - Epoch(train) [49][3220/3757] lr: 1.000e-03 eta: 14:10:25 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 6.2984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6240 loss: 1.6240 2022/06/28 11:54:35 - mmengine - INFO - Epoch(train) [49][3240/3757] lr: 1.000e-03 eta: 14:10:20 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.3621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/06/28 11:54:41 - mmengine - INFO - Epoch(train) [49][3260/3757] lr: 1.000e-03 eta: 14:10:15 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.3762 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2113 loss: 1.2113 2022/06/28 11:54:46 - mmengine - INFO - Epoch(train) [49][3280/3757] lr: 1.000e-03 eta: 14:10:10 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 5.9736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4401 loss: 1.4401 2022/06/28 11:54:51 - mmengine - INFO - Epoch(train) [49][3300/3757] lr: 1.000e-03 eta: 14:10:04 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.7725 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/06/28 11:54:57 - mmengine - INFO - Epoch(train) [49][3320/3757] lr: 1.000e-03 eta: 14:09:59 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.7294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1461 loss: 1.1461 2022/06/28 11:55:03 - mmengine - INFO - Epoch(train) [49][3340/3757] lr: 1.000e-03 eta: 14:09:55 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 7.1133 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4835 loss: 1.4835 2022/06/28 11:55:07 - mmengine - INFO - Epoch(train) [49][3360/3757] lr: 1.000e-03 eta: 14:09:48 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.4606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5982 loss: 1.5982 2022/06/28 11:55:14 - mmengine - INFO - Epoch(train) [49][3380/3757] lr: 1.000e-03 eta: 14:09:44 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 6.9693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/06/28 11:55:19 - mmengine - INFO - Epoch(train) [49][3400/3757] lr: 1.000e-03 eta: 14:09:38 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 5.8915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2377 loss: 1.2377 2022/06/28 11:55:24 - mmengine - INFO - Epoch(train) [49][3420/3757] lr: 1.000e-03 eta: 14:09:33 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.6013 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4479 loss: 1.4479 2022/06/28 11:55:29 - mmengine - INFO - Epoch(train) [49][3440/3757] lr: 1.000e-03 eta: 14:09:28 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.3644 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3974 loss: 1.3974 2022/06/28 11:55:35 - mmengine - INFO - Epoch(train) [49][3460/3757] lr: 1.000e-03 eta: 14:09:23 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.5079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/06/28 11:55:40 - mmengine - INFO - Epoch(train) [49][3480/3757] lr: 1.000e-03 eta: 14:09:17 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.3961 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8022 loss: 1.8022 2022/06/28 11:55:45 - mmengine - INFO - Epoch(train) [49][3500/3757] lr: 1.000e-03 eta: 14:09:12 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.6314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5322 loss: 1.5322 2022/06/28 11:55:50 - mmengine - INFO - Epoch(train) [49][3520/3757] lr: 1.000e-03 eta: 14:09:06 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.8816 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4220 loss: 1.4220 2022/06/28 11:55:55 - mmengine - INFO - Epoch(train) [49][3540/3757] lr: 1.000e-03 eta: 14:09:01 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.3053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2917 loss: 1.2917 2022/06/28 11:56:01 - mmengine - INFO - Epoch(train) [49][3560/3757] lr: 1.000e-03 eta: 14:08:56 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.0613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2342 loss: 1.2342 2022/06/28 11:56:07 - mmengine - INFO - Epoch(train) [49][3580/3757] lr: 1.000e-03 eta: 14:08:51 time: 0.400 data_time: 0.007 memory: 5150 grad_norm: 8.0030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3142 loss: 1.3142 2022/06/28 11:56:11 - mmengine - INFO - Epoch(train) [49][3600/3757] lr: 1.000e-03 eta: 14:08:45 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1621 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4930 loss: 1.4930 2022/06/28 11:56:17 - mmengine - INFO - Epoch(train) [49][3620/3757] lr: 1.000e-03 eta: 14:08:40 time: 0.191 data_time: 0.015 memory: 5150 grad_norm: 7.1011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4022 loss: 1.4022 2022/06/28 11:56:23 - mmengine - INFO - Epoch(train) [49][3640/3757] lr: 1.000e-03 eta: 14:08:35 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3495 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5313 loss: 1.5313 2022/06/28 11:56:27 - mmengine - INFO - Epoch(train) [49][3660/3757] lr: 1.000e-03 eta: 14:08:29 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3351 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4676 loss: 1.4676 2022/06/28 11:56:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:56:33 - mmengine - INFO - Epoch(train) [49][3680/3757] lr: 1.000e-03 eta: 14:08:24 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 6.3477 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4160 loss: 1.4160 2022/06/28 11:56:38 - mmengine - INFO - Epoch(train) [49][3700/3757] lr: 1.000e-03 eta: 14:08:18 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.3637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3615 loss: 1.3615 2022/06/28 11:56:44 - mmengine - INFO - Epoch(train) [49][3720/3757] lr: 1.000e-03 eta: 14:08:13 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.9500 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/06/28 11:56:49 - mmengine - INFO - Epoch(train) [49][3740/3757] lr: 1.000e-03 eta: 14:08:08 time: 0.387 data_time: 0.011 memory: 5150 grad_norm: 6.6231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2712 loss: 1.2712 2022/06/28 11:56:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 11:57:26 - mmengine - INFO - Epoch(val) [49][20/310] eta: 0:05:36 time: 1.003 data_time: 0.354 memory: 9746 2022/06/28 11:57:47 - mmengine - INFO - Epoch(val) [49][40/310] eta: 0:04:48 time: 1.085 data_time: 0.432 memory: 9746 2022/06/28 11:58:11 - mmengine - INFO - Epoch(val) [49][60/310] eta: 0:04:26 time: 1.075 data_time: 0.443 memory: 9746 2022/06/28 11:58:35 - mmengine - INFO - Epoch(val) [49][80/310] eta: 0:05:19 time: 1.024 data_time: 0.361 memory: 9746 2022/06/28 11:58:59 - mmengine - INFO - Epoch(val) [49][100/310] eta: 0:04:04 time: 1.778 data_time: 1.118 memory: 9746 2022/06/28 11:59:20 - mmengine - INFO - Epoch(val) [49][120/310] eta: 0:03:35 time: 1.120 data_time: 0.474 memory: 9746 2022/06/28 11:59:45 - mmengine - INFO - Epoch(val) [49][140/310] eta: 0:03:22 time: 0.932 data_time: 0.276 memory: 9746 2022/06/28 12:00:11 - mmengine - INFO - Epoch(val) [49][160/310] eta: 0:03:33 time: 2.452 data_time: 1.748 memory: 9746 2022/06/28 12:00:33 - mmengine - INFO - Epoch(val) [49][180/310] eta: 0:02:39 time: 1.006 data_time: 0.364 memory: 9746 2022/06/28 12:00:55 - mmengine - INFO - Epoch(val) [49][200/310] eta: 0:02:01 time: 1.117 data_time: 0.457 memory: 9746 2022/06/28 12:01:17 - mmengine - INFO - Epoch(val) [49][220/310] eta: 0:01:37 time: 0.877 data_time: 0.224 memory: 9746 2022/06/28 12:01:38 - mmengine - INFO - Epoch(val) [49][240/310] eta: 0:01:14 time: 1.053 data_time: 0.390 memory: 9746 2022/06/28 12:02:01 - mmengine - INFO - Epoch(val) [49][260/310] eta: 0:00:58 time: 0.982 data_time: 0.339 memory: 9746 2022/06/28 12:02:25 - mmengine - INFO - Epoch(val) [49][280/310] eta: 0:00:34 time: 1.289 data_time: 0.631 memory: 9746 2022/06/28 12:02:44 - mmengine - INFO - Epoch(val) [49][300/310] eta: 0:00:08 time: 0.677 data_time: 0.102 memory: 9746 2022/06/28 12:02:57 - mmengine - INFO - Epoch(val) [49][310/310] acc/top1: 0.6985 acc/top5: 0.8936 acc/mean1: 0.6984 2022/06/28 12:03:06 - mmengine - INFO - Epoch(train) [50][20/3757] lr: 1.000e-03 eta: 14:07:59 time: 0.206 data_time: 0.012 memory: 9746 grad_norm: 6.2296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/06/28 12:03:12 - mmengine - INFO - Epoch(train) [50][40/3757] lr: 1.000e-03 eta: 14:07:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.5508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6641 loss: 1.6641 2022/06/28 12:03:16 - mmengine - INFO - Epoch(train) [50][60/3757] lr: 1.000e-03 eta: 14:07:48 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 4.9596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3805 loss: 1.3805 2022/06/28 12:03:22 - mmengine - INFO - Epoch(train) [50][80/3757] lr: 1.000e-03 eta: 14:07:43 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 6.7396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3857 loss: 1.3857 2022/06/28 12:03:28 - mmengine - INFO - Epoch(train) [50][100/3757] lr: 1.000e-03 eta: 14:07:38 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.9398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5486 loss: 1.5486 2022/06/28 12:03:33 - mmengine - INFO - Epoch(train) [50][120/3757] lr: 1.000e-03 eta: 14:07:32 time: 0.243 data_time: 0.007 memory: 5150 grad_norm: 5.5951 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3678 loss: 1.3678 2022/06/28 12:03:38 - mmengine - INFO - Epoch(train) [50][140/3757] lr: 1.000e-03 eta: 14:07:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.6159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3635 loss: 1.3635 2022/06/28 12:03:44 - mmengine - INFO - Epoch(train) [50][160/3757] lr: 1.000e-03 eta: 14:07:22 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.3767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5830 loss: 1.5830 2022/06/28 12:03:49 - mmengine - INFO - Epoch(train) [50][180/3757] lr: 1.000e-03 eta: 14:07:17 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 6.1221 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1626 loss: 1.1626 2022/06/28 12:03:54 - mmengine - INFO - Epoch(train) [50][200/3757] lr: 1.000e-03 eta: 14:07:12 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.2083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4850 loss: 1.4850 2022/06/28 12:04:00 - mmengine - INFO - Epoch(train) [50][220/3757] lr: 1.000e-03 eta: 14:07:07 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.2853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2480 loss: 1.2480 2022/06/28 12:04:05 - mmengine - INFO - Epoch(train) [50][240/3757] lr: 1.000e-03 eta: 14:07:01 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.6791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9581 loss: 1.9581 2022/06/28 12:04:10 - mmengine - INFO - Epoch(train) [50][260/3757] lr: 1.000e-03 eta: 14:06:55 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 6.6906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4774 loss: 1.4774 2022/06/28 12:04:16 - mmengine - INFO - Epoch(train) [50][280/3757] lr: 1.000e-03 eta: 14:06:50 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4113 loss: 1.4113 2022/06/28 12:04:20 - mmengine - INFO - Epoch(train) [50][300/3757] lr: 1.000e-03 eta: 14:06:44 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 7.1632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3732 loss: 1.3732 2022/06/28 12:04:26 - mmengine - INFO - Epoch(train) [50][320/3757] lr: 1.000e-03 eta: 14:06:39 time: 0.206 data_time: 0.018 memory: 5150 grad_norm: 5.0399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/06/28 12:04:31 - mmengine - INFO - Epoch(train) [50][340/3757] lr: 1.000e-03 eta: 14:06:34 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.6939 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6495 loss: 1.6495 2022/06/28 12:04:36 - mmengine - INFO - Epoch(train) [50][360/3757] lr: 1.000e-03 eta: 14:06:29 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 5.7925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4819 loss: 1.4819 2022/06/28 12:04:42 - mmengine - INFO - Epoch(train) [50][380/3757] lr: 1.000e-03 eta: 14:06:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.0344 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9350 loss: 1.9350 2022/06/28 12:04:48 - mmengine - INFO - Epoch(train) [50][400/3757] lr: 1.000e-03 eta: 14:06:18 time: 0.293 data_time: 0.006 memory: 5150 grad_norm: 6.4419 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5176 loss: 1.5176 2022/06/28 12:04:53 - mmengine - INFO - Epoch(train) [50][420/3757] lr: 1.000e-03 eta: 14:06:13 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 6.2072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/06/28 12:04:58 - mmengine - INFO - Epoch(train) [50][440/3757] lr: 1.000e-03 eta: 14:06:08 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.1605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/06/28 12:05:04 - mmengine - INFO - Epoch(train) [50][460/3757] lr: 1.000e-03 eta: 14:06:03 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.1876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/06/28 12:05:09 - mmengine - INFO - Epoch(train) [50][480/3757] lr: 1.000e-03 eta: 14:05:57 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4195 loss: 1.4195 2022/06/28 12:05:15 - mmengine - INFO - Epoch(train) [50][500/3757] lr: 1.000e-03 eta: 14:05:52 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.7270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3772 loss: 1.3772 2022/06/28 12:05:20 - mmengine - INFO - Epoch(train) [50][520/3757] lr: 1.000e-03 eta: 14:05:47 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.1196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.9800 loss: 1.9800 2022/06/28 12:05:25 - mmengine - INFO - Epoch(train) [50][540/3757] lr: 1.000e-03 eta: 14:05:41 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 6.6491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3392 loss: 1.3392 2022/06/28 12:05:30 - mmengine - INFO - Epoch(train) [50][560/3757] lr: 1.000e-03 eta: 14:05:36 time: 0.542 data_time: 0.010 memory: 5150 grad_norm: 6.5017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4972 loss: 1.4972 2022/06/28 12:05:36 - mmengine - INFO - Epoch(train) [50][580/3757] lr: 1.000e-03 eta: 14:05:31 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.7589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5739 loss: 1.5739 2022/06/28 12:05:41 - mmengine - INFO - Epoch(train) [50][600/3757] lr: 1.000e-03 eta: 14:05:25 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.7609 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/06/28 12:05:47 - mmengine - INFO - Epoch(train) [50][620/3757] lr: 1.000e-03 eta: 14:05:21 time: 1.158 data_time: 0.011 memory: 5150 grad_norm: 6.4667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4472 loss: 1.4472 2022/06/28 12:05:52 - mmengine - INFO - Epoch(train) [50][640/3757] lr: 1.000e-03 eta: 14:05:15 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.1045 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4881 loss: 1.4881 2022/06/28 12:05:57 - mmengine - INFO - Epoch(train) [50][660/3757] lr: 1.000e-03 eta: 14:05:09 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.7267 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4936 loss: 1.4936 2022/06/28 12:06:03 - mmengine - INFO - Epoch(train) [50][680/3757] lr: 1.000e-03 eta: 14:05:05 time: 0.575 data_time: 0.010 memory: 5150 grad_norm: 6.0302 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4715 loss: 1.4715 2022/06/28 12:06:08 - mmengine - INFO - Epoch(train) [50][700/3757] lr: 1.000e-03 eta: 14:04:59 time: 0.243 data_time: 0.007 memory: 5150 grad_norm: 6.3744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1164 loss: 1.1164 2022/06/28 12:06:14 - mmengine - INFO - Epoch(train) [50][720/3757] lr: 1.000e-03 eta: 14:04:54 time: 0.229 data_time: 0.012 memory: 5150 grad_norm: 6.8362 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7403 loss: 1.7403 2022/06/28 12:06:19 - mmengine - INFO - Epoch(train) [50][740/3757] lr: 1.000e-03 eta: 14:04:49 time: 0.676 data_time: 0.018 memory: 5150 grad_norm: 5.9692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/06/28 12:06:23 - mmengine - INFO - Epoch(train) [50][760/3757] lr: 1.000e-03 eta: 14:04:43 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.5133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1950 loss: 1.1950 2022/06/28 12:06:29 - mmengine - INFO - Epoch(train) [50][780/3757] lr: 1.000e-03 eta: 14:04:38 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.0877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4754 loss: 1.4754 2022/06/28 12:06:35 - mmengine - INFO - Epoch(train) [50][800/3757] lr: 1.000e-03 eta: 14:04:33 time: 0.561 data_time: 0.013 memory: 5150 grad_norm: 5.6639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5611 loss: 1.5611 2022/06/28 12:06:39 - mmengine - INFO - Epoch(train) [50][820/3757] lr: 1.000e-03 eta: 14:04:27 time: 0.258 data_time: 0.008 memory: 5150 grad_norm: 5.5864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/06/28 12:06:45 - mmengine - INFO - Epoch(train) [50][840/3757] lr: 1.000e-03 eta: 14:04:21 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.0433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1848 loss: 1.1848 2022/06/28 12:06:50 - mmengine - INFO - Epoch(train) [50][860/3757] lr: 1.000e-03 eta: 14:04:16 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1012 loss: 2.1012 2022/06/28 12:06:56 - mmengine - INFO - Epoch(train) [50][880/3757] lr: 1.000e-03 eta: 14:04:11 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 5.4781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4031 loss: 1.4031 2022/06/28 12:07:01 - mmengine - INFO - Epoch(train) [50][900/3757] lr: 1.000e-03 eta: 14:04:06 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.8842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2221 loss: 1.2221 2022/06/28 12:07:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:07:06 - mmengine - INFO - Epoch(train) [50][920/3757] lr: 1.000e-03 eta: 14:04:01 time: 0.878 data_time: 0.006 memory: 5150 grad_norm: 6.8118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4574 loss: 1.4574 2022/06/28 12:07:12 - mmengine - INFO - Epoch(train) [50][940/3757] lr: 1.000e-03 eta: 14:03:56 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 5.9247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4650 loss: 1.4650 2022/06/28 12:07:19 - mmengine - INFO - Epoch(train) [50][960/3757] lr: 1.000e-03 eta: 14:03:52 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.9293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/06/28 12:07:23 - mmengine - INFO - Epoch(train) [50][980/3757] lr: 1.000e-03 eta: 14:03:46 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 5.3049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/06/28 12:07:27 - mmengine - INFO - Epoch(train) [50][1000/3757] lr: 1.000e-03 eta: 14:03:39 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.5520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7108 loss: 1.7108 2022/06/28 12:07:33 - mmengine - INFO - Epoch(train) [50][1020/3757] lr: 1.000e-03 eta: 14:03:34 time: 0.192 data_time: 0.016 memory: 5150 grad_norm: 6.8920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/06/28 12:07:38 - mmengine - INFO - Epoch(train) [50][1040/3757] lr: 1.000e-03 eta: 14:03:29 time: 0.208 data_time: 0.025 memory: 5150 grad_norm: 6.4632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7542 loss: 1.7542 2022/06/28 12:07:44 - mmengine - INFO - Epoch(train) [50][1060/3757] lr: 1.000e-03 eta: 14:03:24 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.1086 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3177 loss: 1.3177 2022/06/28 12:07:49 - mmengine - INFO - Epoch(train) [50][1080/3757] lr: 1.000e-03 eta: 14:03:19 time: 0.508 data_time: 0.007 memory: 5150 grad_norm: 7.0107 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2527 loss: 1.2527 2022/06/28 12:07:54 - mmengine - INFO - Epoch(train) [50][1100/3757] lr: 1.000e-03 eta: 14:03:13 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 6.4085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3707 loss: 1.3707 2022/06/28 12:08:00 - mmengine - INFO - Epoch(train) [50][1120/3757] lr: 1.000e-03 eta: 14:03:08 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.3810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2257 loss: 1.2257 2022/06/28 12:08:06 - mmengine - INFO - Epoch(train) [50][1140/3757] lr: 1.000e-03 eta: 14:03:03 time: 0.583 data_time: 0.008 memory: 5150 grad_norm: 6.0453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4715 loss: 1.4715 2022/06/28 12:08:11 - mmengine - INFO - Epoch(train) [50][1160/3757] lr: 1.000e-03 eta: 14:02:58 time: 0.212 data_time: 0.018 memory: 5150 grad_norm: 6.4137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1610 loss: 1.1610 2022/06/28 12:08:17 - mmengine - INFO - Epoch(train) [50][1180/3757] lr: 1.000e-03 eta: 14:02:53 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.1806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4824 loss: 1.4824 2022/06/28 12:08:22 - mmengine - INFO - Epoch(train) [50][1200/3757] lr: 1.000e-03 eta: 14:02:48 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.3141 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4333 loss: 1.4333 2022/06/28 12:08:27 - mmengine - INFO - Epoch(train) [50][1220/3757] lr: 1.000e-03 eta: 14:02:42 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 6.7189 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5451 loss: 1.5451 2022/06/28 12:08:33 - mmengine - INFO - Epoch(train) [50][1240/3757] lr: 1.000e-03 eta: 14:02:37 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.1564 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1970 loss: 1.1970 2022/06/28 12:08:38 - mmengine - INFO - Epoch(train) [50][1260/3757] lr: 1.000e-03 eta: 14:02:32 time: 0.287 data_time: 0.007 memory: 5150 grad_norm: 6.0679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1680 loss: 1.1680 2022/06/28 12:08:43 - mmengine - INFO - Epoch(train) [50][1280/3757] lr: 1.000e-03 eta: 14:02:26 time: 0.261 data_time: 0.008 memory: 5150 grad_norm: 6.7339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7928 loss: 1.7928 2022/06/28 12:08:49 - mmengine - INFO - Epoch(train) [50][1300/3757] lr: 1.000e-03 eta: 14:02:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.7523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3151 loss: 1.3151 2022/06/28 12:08:54 - mmengine - INFO - Epoch(train) [50][1320/3757] lr: 1.000e-03 eta: 14:02:16 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.8779 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8779 loss: 0.8779 2022/06/28 12:09:00 - mmengine - INFO - Epoch(train) [50][1340/3757] lr: 1.000e-03 eta: 14:02:11 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.7391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6081 loss: 1.6081 2022/06/28 12:09:05 - mmengine - INFO - Epoch(train) [50][1360/3757] lr: 1.000e-03 eta: 14:02:05 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.9056 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6490 loss: 1.6490 2022/06/28 12:09:10 - mmengine - INFO - Epoch(train) [50][1380/3757] lr: 1.000e-03 eta: 14:02:00 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.1045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1579 loss: 1.1579 2022/06/28 12:09:16 - mmengine - INFO - Epoch(train) [50][1400/3757] lr: 1.000e-03 eta: 14:01:55 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 7.2083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3992 loss: 1.3992 2022/06/28 12:09:21 - mmengine - INFO - Epoch(train) [50][1420/3757] lr: 1.000e-03 eta: 14:01:49 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.6217 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7274 loss: 1.7274 2022/06/28 12:09:27 - mmengine - INFO - Epoch(train) [50][1440/3757] lr: 1.000e-03 eta: 14:01:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.3382 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/06/28 12:09:32 - mmengine - INFO - Epoch(train) [50][1460/3757] lr: 1.000e-03 eta: 14:01:39 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.0418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2518 loss: 1.2518 2022/06/28 12:09:37 - mmengine - INFO - Epoch(train) [50][1480/3757] lr: 1.000e-03 eta: 14:01:33 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.3438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2582 loss: 1.2582 2022/06/28 12:09:42 - mmengine - INFO - Epoch(train) [50][1500/3757] lr: 1.000e-03 eta: 14:01:28 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.1920 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5345 loss: 1.5345 2022/06/28 12:09:48 - mmengine - INFO - Epoch(train) [50][1520/3757] lr: 1.000e-03 eta: 14:01:23 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.6332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4375 loss: 1.4375 2022/06/28 12:09:53 - mmengine - INFO - Epoch(train) [50][1540/3757] lr: 1.000e-03 eta: 14:01:18 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 7.6024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/06/28 12:09:59 - mmengine - INFO - Epoch(train) [50][1560/3757] lr: 1.000e-03 eta: 14:01:13 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.8504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3075 loss: 1.3075 2022/06/28 12:10:05 - mmengine - INFO - Epoch(train) [50][1580/3757] lr: 1.000e-03 eta: 14:01:08 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.5260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4599 loss: 1.4599 2022/06/28 12:10:09 - mmengine - INFO - Epoch(train) [50][1600/3757] lr: 1.000e-03 eta: 14:01:02 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.1469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5688 loss: 1.5688 2022/06/28 12:10:15 - mmengine - INFO - Epoch(train) [50][1620/3757] lr: 1.000e-03 eta: 14:00:57 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.7960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/06/28 12:10:20 - mmengine - INFO - Epoch(train) [50][1640/3757] lr: 1.000e-03 eta: 14:00:52 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 6.4627 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7726 loss: 1.7726 2022/06/28 12:10:25 - mmengine - INFO - Epoch(train) [50][1660/3757] lr: 1.000e-03 eta: 14:00:46 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 6.6189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2553 loss: 1.2553 2022/06/28 12:10:30 - mmengine - INFO - Epoch(train) [50][1680/3757] lr: 1.000e-03 eta: 14:00:41 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.9109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1848 loss: 1.1848 2022/06/28 12:10:36 - mmengine - INFO - Epoch(train) [50][1700/3757] lr: 1.000e-03 eta: 14:00:36 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.7888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3351 loss: 1.3351 2022/06/28 12:10:41 - mmengine - INFO - Epoch(train) [50][1720/3757] lr: 1.000e-03 eta: 14:00:30 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.8080 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6716 loss: 1.6716 2022/06/28 12:10:46 - mmengine - INFO - Epoch(train) [50][1740/3757] lr: 1.000e-03 eta: 14:00:25 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.7926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6346 loss: 1.6346 2022/06/28 12:10:52 - mmengine - INFO - Epoch(train) [50][1760/3757] lr: 1.000e-03 eta: 14:00:19 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.5751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4752 loss: 1.4752 2022/06/28 12:10:57 - mmengine - INFO - Epoch(train) [50][1780/3757] lr: 1.000e-03 eta: 14:00:14 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 6.9295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6895 loss: 1.6895 2022/06/28 12:11:02 - mmengine - INFO - Epoch(train) [50][1800/3757] lr: 1.000e-03 eta: 14:00:08 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 5.8869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6926 loss: 1.6926 2022/06/28 12:11:07 - mmengine - INFO - Epoch(train) [50][1820/3757] lr: 1.000e-03 eta: 14:00:03 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 7.1935 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/06/28 12:11:12 - mmengine - INFO - Epoch(train) [50][1840/3757] lr: 1.000e-03 eta: 13:59:57 time: 0.769 data_time: 0.008 memory: 5150 grad_norm: 6.1203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6277 loss: 1.6277 2022/06/28 12:11:17 - mmengine - INFO - Epoch(train) [50][1860/3757] lr: 1.000e-03 eta: 13:59:52 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.9333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3710 loss: 1.3710 2022/06/28 12:11:23 - mmengine - INFO - Epoch(train) [50][1880/3757] lr: 1.000e-03 eta: 13:59:47 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.4849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4529 loss: 1.4529 2022/06/28 12:11:28 - mmengine - INFO - Epoch(train) [50][1900/3757] lr: 1.000e-03 eta: 13:59:41 time: 0.700 data_time: 0.009 memory: 5150 grad_norm: 6.6353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6256 loss: 1.6256 2022/06/28 12:11:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:11:34 - mmengine - INFO - Epoch(train) [50][1920/3757] lr: 1.000e-03 eta: 13:59:36 time: 0.486 data_time: 0.012 memory: 5150 grad_norm: 8.2555 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4512 loss: 1.4512 2022/06/28 12:11:39 - mmengine - INFO - Epoch(train) [50][1940/3757] lr: 1.000e-03 eta: 13:59:31 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.4403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1071 loss: 1.1071 2022/06/28 12:11:44 - mmengine - INFO - Epoch(train) [50][1960/3757] lr: 1.000e-03 eta: 13:59:26 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.5301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5403 loss: 1.5403 2022/06/28 12:11:51 - mmengine - INFO - Epoch(train) [50][1980/3757] lr: 1.000e-03 eta: 13:59:21 time: 1.374 data_time: 0.007 memory: 5150 grad_norm: 5.9968 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/06/28 12:11:55 - mmengine - INFO - Epoch(train) [50][2000/3757] lr: 1.000e-03 eta: 13:59:15 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 7.5342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9230 loss: 1.9230 2022/06/28 12:12:01 - mmengine - INFO - Epoch(train) [50][2020/3757] lr: 1.000e-03 eta: 13:59:10 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.5909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4687 loss: 1.4687 2022/06/28 12:12:06 - mmengine - INFO - Epoch(train) [50][2040/3757] lr: 1.000e-03 eta: 13:59:05 time: 0.338 data_time: 0.007 memory: 5150 grad_norm: 6.0611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3844 loss: 1.3844 2022/06/28 12:12:11 - mmengine - INFO - Epoch(train) [50][2060/3757] lr: 1.000e-03 eta: 13:58:59 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 5.3624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1955 loss: 1.1955 2022/06/28 12:12:16 - mmengine - INFO - Epoch(train) [50][2080/3757] lr: 1.000e-03 eta: 13:58:54 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.7659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3137 loss: 1.3137 2022/06/28 12:12:22 - mmengine - INFO - Epoch(train) [50][2100/3757] lr: 1.000e-03 eta: 13:58:49 time: 0.887 data_time: 0.007 memory: 5150 grad_norm: 6.5258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4952 loss: 1.4952 2022/06/28 12:12:27 - mmengine - INFO - Epoch(train) [50][2120/3757] lr: 1.000e-03 eta: 13:58:44 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.0176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/06/28 12:12:33 - mmengine - INFO - Epoch(train) [50][2140/3757] lr: 1.000e-03 eta: 13:58:38 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 6.2889 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5109 loss: 1.5109 2022/06/28 12:12:38 - mmengine - INFO - Epoch(train) [50][2160/3757] lr: 1.000e-03 eta: 13:58:33 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.6421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2292 loss: 1.2292 2022/06/28 12:12:44 - mmengine - INFO - Epoch(train) [50][2180/3757] lr: 1.000e-03 eta: 13:58:28 time: 0.402 data_time: 0.037 memory: 5150 grad_norm: 5.9682 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4022 loss: 1.4022 2022/06/28 12:12:49 - mmengine - INFO - Epoch(train) [50][2200/3757] lr: 1.000e-03 eta: 13:58:22 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.1952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5465 loss: 1.5465 2022/06/28 12:12:54 - mmengine - INFO - Epoch(train) [50][2220/3757] lr: 1.000e-03 eta: 13:58:17 time: 0.694 data_time: 0.011 memory: 5150 grad_norm: 5.8833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1760 loss: 1.1760 2022/06/28 12:12:59 - mmengine - INFO - Epoch(train) [50][2240/3757] lr: 1.000e-03 eta: 13:58:12 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 4.7498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3982 loss: 1.3982 2022/06/28 12:13:05 - mmengine - INFO - Epoch(train) [50][2260/3757] lr: 1.000e-03 eta: 13:58:07 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.7640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6767 loss: 1.6767 2022/06/28 12:13:10 - mmengine - INFO - Epoch(train) [50][2280/3757] lr: 1.000e-03 eta: 13:58:01 time: 0.613 data_time: 0.009 memory: 5150 grad_norm: 7.0199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4830 loss: 1.4830 2022/06/28 12:13:16 - mmengine - INFO - Epoch(train) [50][2300/3757] lr: 1.000e-03 eta: 13:57:56 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.4641 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5460 loss: 1.5460 2022/06/28 12:13:21 - mmengine - INFO - Epoch(train) [50][2320/3757] lr: 1.000e-03 eta: 13:57:51 time: 0.254 data_time: 0.007 memory: 5150 grad_norm: 5.8592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/06/28 12:13:26 - mmengine - INFO - Epoch(train) [50][2340/3757] lr: 1.000e-03 eta: 13:57:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.1383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4705 loss: 1.4705 2022/06/28 12:13:32 - mmengine - INFO - Epoch(train) [50][2360/3757] lr: 1.000e-03 eta: 13:57:40 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.3292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8038 loss: 1.8038 2022/06/28 12:13:37 - mmengine - INFO - Epoch(train) [50][2380/3757] lr: 1.000e-03 eta: 13:57:35 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2455 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5051 loss: 1.5051 2022/06/28 12:13:43 - mmengine - INFO - Epoch(train) [50][2400/3757] lr: 1.000e-03 eta: 13:57:30 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.6679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6039 loss: 1.6039 2022/06/28 12:13:48 - mmengine - INFO - Epoch(train) [50][2420/3757] lr: 1.000e-03 eta: 13:57:25 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.1353 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1861 loss: 1.1861 2022/06/28 12:13:53 - mmengine - INFO - Epoch(train) [50][2440/3757] lr: 1.000e-03 eta: 13:57:19 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.7870 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/06/28 12:13:59 - mmengine - INFO - Epoch(train) [50][2460/3757] lr: 1.000e-03 eta: 13:57:14 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.9907 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2580 loss: 1.2580 2022/06/28 12:14:04 - mmengine - INFO - Epoch(train) [50][2480/3757] lr: 1.000e-03 eta: 13:57:09 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 7.1537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3194 loss: 1.3194 2022/06/28 12:14:09 - mmengine - INFO - Epoch(train) [50][2500/3757] lr: 1.000e-03 eta: 13:57:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.9896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2337 loss: 1.2337 2022/06/28 12:14:15 - mmengine - INFO - Epoch(train) [50][2520/3757] lr: 1.000e-03 eta: 13:56:58 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5923 loss: 1.5923 2022/06/28 12:14:20 - mmengine - INFO - Epoch(train) [50][2540/3757] lr: 1.000e-03 eta: 13:56:53 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.1248 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4378 loss: 1.4378 2022/06/28 12:14:26 - mmengine - INFO - Epoch(train) [50][2560/3757] lr: 1.000e-03 eta: 13:56:48 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.1635 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7751 loss: 1.7751 2022/06/28 12:14:30 - mmengine - INFO - Epoch(train) [50][2580/3757] lr: 1.000e-03 eta: 13:56:42 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5047 loss: 1.5047 2022/06/28 12:14:36 - mmengine - INFO - Epoch(train) [50][2600/3757] lr: 1.000e-03 eta: 13:56:37 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 4.7482 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5803 loss: 1.5803 2022/06/28 12:14:41 - mmengine - INFO - Epoch(train) [50][2620/3757] lr: 1.000e-03 eta: 13:56:31 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 5.5203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7253 loss: 1.7253 2022/06/28 12:14:46 - mmengine - INFO - Epoch(train) [50][2640/3757] lr: 1.000e-03 eta: 13:56:26 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3804 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1619 loss: 1.1619 2022/06/28 12:14:52 - mmengine - INFO - Epoch(train) [50][2660/3757] lr: 1.000e-03 eta: 13:56:21 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 7.3935 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8953 loss: 1.8953 2022/06/28 12:14:57 - mmengine - INFO - Epoch(train) [50][2680/3757] lr: 1.000e-03 eta: 13:56:15 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.0513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2519 loss: 1.2519 2022/06/28 12:15:02 - mmengine - INFO - Epoch(train) [50][2700/3757] lr: 1.000e-03 eta: 13:56:10 time: 0.203 data_time: 0.020 memory: 5150 grad_norm: 7.1545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3187 loss: 1.3187 2022/06/28 12:15:07 - mmengine - INFO - Epoch(train) [50][2720/3757] lr: 1.000e-03 eta: 13:56:05 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.6099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1119 loss: 1.1119 2022/06/28 12:15:12 - mmengine - INFO - Epoch(train) [50][2740/3757] lr: 1.000e-03 eta: 13:55:59 time: 0.660 data_time: 0.007 memory: 5150 grad_norm: 6.3535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0333 loss: 1.0333 2022/06/28 12:15:18 - mmengine - INFO - Epoch(train) [50][2760/3757] lr: 1.000e-03 eta: 13:55:54 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 6.3123 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7303 loss: 1.7303 2022/06/28 12:15:24 - mmengine - INFO - Epoch(train) [50][2780/3757] lr: 1.000e-03 eta: 13:55:49 time: 0.294 data_time: 0.008 memory: 5150 grad_norm: 6.9284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4269 loss: 1.4269 2022/06/28 12:15:29 - mmengine - INFO - Epoch(train) [50][2800/3757] lr: 1.000e-03 eta: 13:55:43 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.4079 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/06/28 12:15:34 - mmengine - INFO - Epoch(train) [50][2820/3757] lr: 1.000e-03 eta: 13:55:38 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.4527 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6368 loss: 1.6368 2022/06/28 12:15:40 - mmengine - INFO - Epoch(train) [50][2840/3757] lr: 1.000e-03 eta: 13:55:33 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.4103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3505 loss: 1.3505 2022/06/28 12:15:45 - mmengine - INFO - Epoch(train) [50][2860/3757] lr: 1.000e-03 eta: 13:55:28 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.5239 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6648 loss: 1.6648 2022/06/28 12:15:50 - mmengine - INFO - Epoch(train) [50][2880/3757] lr: 1.000e-03 eta: 13:55:22 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.1514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4345 loss: 1.4345 2022/06/28 12:15:55 - mmengine - INFO - Epoch(train) [50][2900/3757] lr: 1.000e-03 eta: 13:55:17 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.8505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/06/28 12:15:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:16:01 - mmengine - INFO - Epoch(train) [50][2920/3757] lr: 1.000e-03 eta: 13:55:11 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.0261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5891 loss: 1.5891 2022/06/28 12:16:06 - mmengine - INFO - Epoch(train) [50][2940/3757] lr: 1.000e-03 eta: 13:55:06 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.7837 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1782 loss: 1.1782 2022/06/28 12:16:11 - mmengine - INFO - Epoch(train) [50][2960/3757] lr: 1.000e-03 eta: 13:55:01 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.5361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3589 loss: 1.3589 2022/06/28 12:16:17 - mmengine - INFO - Epoch(train) [50][2980/3757] lr: 1.000e-03 eta: 13:54:56 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.2850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2693 loss: 1.2693 2022/06/28 12:16:22 - mmengine - INFO - Epoch(train) [50][3000/3757] lr: 1.000e-03 eta: 13:54:51 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.1499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5407 loss: 1.5407 2022/06/28 12:16:27 - mmengine - INFO - Epoch(train) [50][3020/3757] lr: 1.000e-03 eta: 13:54:45 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.8415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4201 loss: 1.4201 2022/06/28 12:16:33 - mmengine - INFO - Epoch(train) [50][3040/3757] lr: 1.000e-03 eta: 13:54:40 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.9525 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3785 loss: 1.3785 2022/06/28 12:16:38 - mmengine - INFO - Epoch(train) [50][3060/3757] lr: 1.000e-03 eta: 13:54:34 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.8482 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3490 loss: 1.3490 2022/06/28 12:16:44 - mmengine - INFO - Epoch(train) [50][3080/3757] lr: 1.000e-03 eta: 13:54:29 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.4037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5288 loss: 1.5288 2022/06/28 12:16:48 - mmengine - INFO - Epoch(train) [50][3100/3757] lr: 1.000e-03 eta: 13:54:24 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.7650 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6955 loss: 1.6955 2022/06/28 12:16:54 - mmengine - INFO - Epoch(train) [50][3120/3757] lr: 1.000e-03 eta: 13:54:19 time: 0.231 data_time: 0.009 memory: 5150 grad_norm: 7.2249 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3134 loss: 1.3134 2022/06/28 12:17:00 - mmengine - INFO - Epoch(train) [50][3140/3757] lr: 1.000e-03 eta: 13:54:14 time: 0.958 data_time: 0.012 memory: 5150 grad_norm: 6.5787 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3409 loss: 1.3409 2022/06/28 12:17:06 - mmengine - INFO - Epoch(train) [50][3160/3757] lr: 1.000e-03 eta: 13:54:09 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/06/28 12:17:11 - mmengine - INFO - Epoch(train) [50][3180/3757] lr: 1.000e-03 eta: 13:54:03 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 6.2238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2654 loss: 1.2654 2022/06/28 12:17:16 - mmengine - INFO - Epoch(train) [50][3200/3757] lr: 1.000e-03 eta: 13:53:58 time: 0.392 data_time: 0.007 memory: 5150 grad_norm: 7.1167 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/06/28 12:17:21 - mmengine - INFO - Epoch(train) [50][3220/3757] lr: 1.000e-03 eta: 13:53:52 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.6903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6755 loss: 1.6755 2022/06/28 12:17:27 - mmengine - INFO - Epoch(train) [50][3240/3757] lr: 1.000e-03 eta: 13:53:47 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 7.1423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/06/28 12:17:32 - mmengine - INFO - Epoch(train) [50][3260/3757] lr: 1.000e-03 eta: 13:53:42 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 5.5814 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3635 loss: 1.3635 2022/06/28 12:17:37 - mmengine - INFO - Epoch(train) [50][3280/3757] lr: 1.000e-03 eta: 13:53:36 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 5.6191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5650 loss: 1.5650 2022/06/28 12:17:42 - mmengine - INFO - Epoch(train) [50][3300/3757] lr: 1.000e-03 eta: 13:53:31 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.1574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2536 loss: 1.2536 2022/06/28 12:17:47 - mmengine - INFO - Epoch(train) [50][3320/3757] lr: 1.000e-03 eta: 13:53:25 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 6.4551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2629 loss: 1.2629 2022/06/28 12:17:52 - mmengine - INFO - Epoch(train) [50][3340/3757] lr: 1.000e-03 eta: 13:53:19 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 6.3227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/06/28 12:17:58 - mmengine - INFO - Epoch(train) [50][3360/3757] lr: 1.000e-03 eta: 13:53:15 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 5.9436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6640 loss: 1.6640 2022/06/28 12:18:04 - mmengine - INFO - Epoch(train) [50][3380/3757] lr: 1.000e-03 eta: 13:53:10 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 5.6742 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.9581 loss: 1.9581 2022/06/28 12:18:09 - mmengine - INFO - Epoch(train) [50][3400/3757] lr: 1.000e-03 eta: 13:53:04 time: 0.206 data_time: 0.022 memory: 5150 grad_norm: 6.7543 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.9343 loss: 1.9343 2022/06/28 12:18:14 - mmengine - INFO - Epoch(train) [50][3420/3757] lr: 1.000e-03 eta: 13:52:59 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 7.5379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/06/28 12:18:20 - mmengine - INFO - Epoch(train) [50][3440/3757] lr: 1.000e-03 eta: 13:52:54 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.8582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6061 loss: 1.6061 2022/06/28 12:18:25 - mmengine - INFO - Epoch(train) [50][3460/3757] lr: 1.000e-03 eta: 13:52:48 time: 0.203 data_time: 0.028 memory: 5150 grad_norm: 6.0362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/06/28 12:18:30 - mmengine - INFO - Epoch(train) [50][3480/3757] lr: 1.000e-03 eta: 13:52:43 time: 0.521 data_time: 0.017 memory: 5150 grad_norm: 7.4469 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2724 loss: 1.2724 2022/06/28 12:18:36 - mmengine - INFO - Epoch(train) [50][3500/3757] lr: 1.000e-03 eta: 13:52:38 time: 0.357 data_time: 0.013 memory: 5150 grad_norm: 6.5762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6262 loss: 1.6262 2022/06/28 12:18:41 - mmengine - INFO - Epoch(train) [50][3520/3757] lr: 1.000e-03 eta: 13:52:32 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 7.1409 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5086 loss: 1.5086 2022/06/28 12:18:46 - mmengine - INFO - Epoch(train) [50][3540/3757] lr: 1.000e-03 eta: 13:52:27 time: 0.246 data_time: 0.023 memory: 5150 grad_norm: 8.3311 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6391 loss: 1.6391 2022/06/28 12:18:52 - mmengine - INFO - Epoch(train) [50][3560/3757] lr: 1.000e-03 eta: 13:52:22 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.0842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5104 loss: 1.5104 2022/06/28 12:18:57 - mmengine - INFO - Epoch(train) [50][3580/3757] lr: 1.000e-03 eta: 13:52:17 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.9108 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5264 loss: 1.5264 2022/06/28 12:19:03 - mmengine - INFO - Epoch(train) [50][3600/3757] lr: 1.000e-03 eta: 13:52:12 time: 0.214 data_time: 0.018 memory: 5150 grad_norm: 6.3787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5214 loss: 1.5214 2022/06/28 12:19:08 - mmengine - INFO - Epoch(train) [50][3620/3757] lr: 1.000e-03 eta: 13:52:06 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.2557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/06/28 12:19:13 - mmengine - INFO - Epoch(train) [50][3640/3757] lr: 1.000e-03 eta: 13:52:01 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.1957 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2961 loss: 1.2961 2022/06/28 12:19:18 - mmengine - INFO - Epoch(train) [50][3660/3757] lr: 1.000e-03 eta: 13:51:56 time: 0.377 data_time: 0.019 memory: 5150 grad_norm: 8.2824 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3593 loss: 1.3593 2022/06/28 12:19:24 - mmengine - INFO - Epoch(train) [50][3680/3757] lr: 1.000e-03 eta: 13:51:51 time: 0.662 data_time: 0.011 memory: 5150 grad_norm: 7.1817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6464 loss: 1.6464 2022/06/28 12:19:29 - mmengine - INFO - Epoch(train) [50][3700/3757] lr: 1.000e-03 eta: 13:51:45 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 7.8449 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3733 loss: 1.3733 2022/06/28 12:19:35 - mmengine - INFO - Epoch(train) [50][3720/3757] lr: 1.000e-03 eta: 13:51:40 time: 0.200 data_time: 0.025 memory: 5150 grad_norm: 8.4080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3609 loss: 1.3609 2022/06/28 12:19:40 - mmengine - INFO - Epoch(train) [50][3740/3757] lr: 1.000e-03 eta: 13:51:35 time: 0.409 data_time: 0.007 memory: 5150 grad_norm: 6.0581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3746 loss: 1.3746 2022/06/28 12:19:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:19:43 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/06/28 12:20:18 - mmengine - INFO - Epoch(val) [50][20/310] eta: 0:05:47 time: 0.997 data_time: 0.361 memory: 9746 2022/06/28 12:20:40 - mmengine - INFO - Epoch(val) [50][40/310] eta: 0:04:53 time: 1.116 data_time: 0.468 memory: 9746 2022/06/28 12:21:04 - mmengine - INFO - Epoch(val) [50][60/310] eta: 0:04:32 time: 1.171 data_time: 0.518 memory: 9746 2022/06/28 12:21:28 - mmengine - INFO - Epoch(val) [50][80/310] eta: 0:05:16 time: 1.129 data_time: 0.501 memory: 9746 2022/06/28 12:21:51 - mmengine - INFO - Epoch(val) [50][100/310] eta: 0:04:15 time: 2.534 data_time: 1.844 memory: 9746 2022/06/28 12:22:12 - mmengine - INFO - Epoch(val) [50][120/310] eta: 0:03:20 time: 1.036 data_time: 0.394 memory: 9746 2022/06/28 12:22:37 - mmengine - INFO - Epoch(val) [50][140/310] eta: 0:03:26 time: 1.453 data_time: 0.795 memory: 9746 2022/06/28 12:23:01 - mmengine - INFO - Epoch(val) [50][160/310] eta: 0:03:14 time: 3.463 data_time: 2.799 memory: 9746 2022/06/28 12:23:24 - mmengine - INFO - Epoch(val) [50][180/310] eta: 0:02:47 time: 0.975 data_time: 0.319 memory: 9746 2022/06/28 12:23:47 - mmengine - INFO - Epoch(val) [50][200/310] eta: 0:02:09 time: 1.069 data_time: 0.423 memory: 9746 2022/06/28 12:24:08 - mmengine - INFO - Epoch(val) [50][220/310] eta: 0:01:37 time: 1.086 data_time: 0.433 memory: 9746 2022/06/28 12:24:30 - mmengine - INFO - Epoch(val) [50][240/310] eta: 0:01:13 time: 1.110 data_time: 0.465 memory: 9746 2022/06/28 12:24:52 - mmengine - INFO - Epoch(val) [50][260/310] eta: 0:00:52 time: 1.064 data_time: 0.411 memory: 9746 2022/06/28 12:25:14 - mmengine - INFO - Epoch(val) [50][280/310] eta: 0:00:32 time: 0.971 data_time: 0.322 memory: 9746 2022/06/28 12:25:34 - mmengine - INFO - Epoch(val) [50][300/310] eta: 0:00:08 time: 0.665 data_time: 0.092 memory: 9746 2022/06/28 12:25:47 - mmengine - INFO - Epoch(val) [50][310/310] acc/top1: 0.7013 acc/top5: 0.8950 acc/mean1: 0.7012 2022/06/28 12:25:55 - mmengine - INFO - Epoch(train) [51][20/3757] lr: 1.000e-03 eta: 13:51:25 time: 0.196 data_time: 0.009 memory: 9746 grad_norm: 7.2311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/06/28 12:26:01 - mmengine - INFO - Epoch(train) [51][40/3757] lr: 1.000e-03 eta: 13:51:21 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.0708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3662 loss: 1.3662 2022/06/28 12:26:06 - mmengine - INFO - Epoch(train) [51][60/3757] lr: 1.000e-03 eta: 13:51:15 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.4595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/06/28 12:26:12 - mmengine - INFO - Epoch(train) [51][80/3757] lr: 1.000e-03 eta: 13:51:10 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 5.7353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5840 loss: 1.5840 2022/06/28 12:26:17 - mmengine - INFO - Epoch(train) [51][100/3757] lr: 1.000e-03 eta: 13:51:05 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.2229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/06/28 12:26:22 - mmengine - INFO - Epoch(train) [51][120/3757] lr: 1.000e-03 eta: 13:50:59 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.7580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/06/28 12:26:27 - mmengine - INFO - Epoch(train) [51][140/3757] lr: 1.000e-03 eta: 13:50:54 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.4735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6050 loss: 1.6050 2022/06/28 12:26:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:26:33 - mmengine - INFO - Epoch(train) [51][160/3757] lr: 1.000e-03 eta: 13:50:48 time: 0.192 data_time: 0.010 memory: 5150 grad_norm: 6.7733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3391 loss: 1.3391 2022/06/28 12:26:38 - mmengine - INFO - Epoch(train) [51][180/3757] lr: 1.000e-03 eta: 13:50:43 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 7.2523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5478 loss: 1.5478 2022/06/28 12:26:44 - mmengine - INFO - Epoch(train) [51][200/3757] lr: 1.000e-03 eta: 13:50:38 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.1050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5159 loss: 1.5159 2022/06/28 12:26:49 - mmengine - INFO - Epoch(train) [51][220/3757] lr: 1.000e-03 eta: 13:50:33 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2721 loss: 1.2721 2022/06/28 12:26:54 - mmengine - INFO - Epoch(train) [51][240/3757] lr: 1.000e-03 eta: 13:50:27 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 7.1996 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/06/28 12:27:00 - mmengine - INFO - Epoch(train) [51][260/3757] lr: 1.000e-03 eta: 13:50:22 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.4105 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/06/28 12:27:06 - mmengine - INFO - Epoch(train) [51][280/3757] lr: 1.000e-03 eta: 13:50:18 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/06/28 12:27:10 - mmengine - INFO - Epoch(train) [51][300/3757] lr: 1.000e-03 eta: 13:50:11 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 5.8070 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5348 loss: 1.5348 2022/06/28 12:27:16 - mmengine - INFO - Epoch(train) [51][320/3757] lr: 1.000e-03 eta: 13:50:06 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.5823 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3211 loss: 1.3211 2022/06/28 12:27:21 - mmengine - INFO - Epoch(train) [51][340/3757] lr: 1.000e-03 eta: 13:50:01 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.5483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3546 loss: 1.3546 2022/06/28 12:27:26 - mmengine - INFO - Epoch(train) [51][360/3757] lr: 1.000e-03 eta: 13:49:56 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 7.3916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3537 loss: 1.3537 2022/06/28 12:27:32 - mmengine - INFO - Epoch(train) [51][380/3757] lr: 1.000e-03 eta: 13:49:50 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.7496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7269 loss: 1.7269 2022/06/28 12:27:37 - mmengine - INFO - Epoch(train) [51][400/3757] lr: 1.000e-03 eta: 13:49:45 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.0398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/06/28 12:27:42 - mmengine - INFO - Epoch(train) [51][420/3757] lr: 1.000e-03 eta: 13:49:39 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 6.7542 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3774 loss: 1.3774 2022/06/28 12:27:48 - mmengine - INFO - Epoch(train) [51][440/3757] lr: 1.000e-03 eta: 13:49:34 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.4803 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7744 loss: 1.7744 2022/06/28 12:27:53 - mmengine - INFO - Epoch(train) [51][460/3757] lr: 1.000e-03 eta: 13:49:29 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.9851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1806 loss: 1.1806 2022/06/28 12:27:58 - mmengine - INFO - Epoch(train) [51][480/3757] lr: 1.000e-03 eta: 13:49:24 time: 0.217 data_time: 0.012 memory: 5150 grad_norm: 7.0676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3089 loss: 1.3089 2022/06/28 12:28:04 - mmengine - INFO - Epoch(train) [51][500/3757] lr: 1.000e-03 eta: 13:49:19 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.2568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5774 loss: 1.5774 2022/06/28 12:28:09 - mmengine - INFO - Epoch(train) [51][520/3757] lr: 1.000e-03 eta: 13:49:13 time: 0.332 data_time: 0.007 memory: 5150 grad_norm: 6.2131 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3009 loss: 1.3009 2022/06/28 12:28:15 - mmengine - INFO - Epoch(train) [51][540/3757] lr: 1.000e-03 eta: 13:49:08 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/06/28 12:28:20 - mmengine - INFO - Epoch(train) [51][560/3757] lr: 1.000e-03 eta: 13:49:03 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.8137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6127 loss: 1.6127 2022/06/28 12:28:25 - mmengine - INFO - Epoch(train) [51][580/3757] lr: 1.000e-03 eta: 13:48:58 time: 0.345 data_time: 0.038 memory: 5150 grad_norm: 7.2722 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8582 loss: 1.8582 2022/06/28 12:28:31 - mmengine - INFO - Epoch(train) [51][600/3757] lr: 1.000e-03 eta: 13:48:53 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3891 loss: 1.3891 2022/06/28 12:28:36 - mmengine - INFO - Epoch(train) [51][620/3757] lr: 1.000e-03 eta: 13:48:47 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.3257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5054 loss: 1.5054 2022/06/28 12:28:41 - mmengine - INFO - Epoch(train) [51][640/3757] lr: 1.000e-03 eta: 13:48:41 time: 0.287 data_time: 0.014 memory: 5150 grad_norm: 6.9899 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1970 loss: 1.1970 2022/06/28 12:28:46 - mmengine - INFO - Epoch(train) [51][660/3757] lr: 1.000e-03 eta: 13:48:36 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 6.4556 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0201 loss: 2.0201 2022/06/28 12:28:51 - mmengine - INFO - Epoch(train) [51][680/3757] lr: 1.000e-03 eta: 13:48:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 5.6514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/06/28 12:28:57 - mmengine - INFO - Epoch(train) [51][700/3757] lr: 1.000e-03 eta: 13:48:25 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.1812 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7920 loss: 1.7920 2022/06/28 12:29:02 - mmengine - INFO - Epoch(train) [51][720/3757] lr: 1.000e-03 eta: 13:48:20 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.8430 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5003 loss: 1.5003 2022/06/28 12:29:08 - mmengine - INFO - Epoch(train) [51][740/3757] lr: 1.000e-03 eta: 13:48:15 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.3486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/06/28 12:29:13 - mmengine - INFO - Epoch(train) [51][760/3757] lr: 1.000e-03 eta: 13:48:10 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.6897 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5039 loss: 1.5039 2022/06/28 12:29:18 - mmengine - INFO - Epoch(train) [51][780/3757] lr: 1.000e-03 eta: 13:48:04 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.5813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5285 loss: 1.5285 2022/06/28 12:29:24 - mmengine - INFO - Epoch(train) [51][800/3757] lr: 1.000e-03 eta: 13:47:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.0158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0860 loss: 1.0860 2022/06/28 12:29:29 - mmengine - INFO - Epoch(train) [51][820/3757] lr: 1.000e-03 eta: 13:47:54 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.1901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7268 loss: 1.7268 2022/06/28 12:29:34 - mmengine - INFO - Epoch(train) [51][840/3757] lr: 1.000e-03 eta: 13:47:48 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.2521 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7485 loss: 1.7485 2022/06/28 12:29:40 - mmengine - INFO - Epoch(train) [51][860/3757] lr: 1.000e-03 eta: 13:47:43 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.2852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3821 loss: 1.3821 2022/06/28 12:29:46 - mmengine - INFO - Epoch(train) [51][880/3757] lr: 1.000e-03 eta: 13:47:39 time: 1.056 data_time: 0.006 memory: 5150 grad_norm: 6.2306 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2587 loss: 1.2587 2022/06/28 12:29:50 - mmengine - INFO - Epoch(train) [51][900/3757] lr: 1.000e-03 eta: 13:47:32 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.4134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4970 loss: 1.4970 2022/06/28 12:29:56 - mmengine - INFO - Epoch(train) [51][920/3757] lr: 1.000e-03 eta: 13:47:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.4746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9733 loss: 0.9733 2022/06/28 12:30:01 - mmengine - INFO - Epoch(train) [51][940/3757] lr: 1.000e-03 eta: 13:47:22 time: 0.531 data_time: 0.011 memory: 5150 grad_norm: 5.3997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/06/28 12:30:06 - mmengine - INFO - Epoch(train) [51][960/3757] lr: 1.000e-03 eta: 13:47:16 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5798 loss: 1.5798 2022/06/28 12:30:12 - mmengine - INFO - Epoch(train) [51][980/3757] lr: 1.000e-03 eta: 13:47:11 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 5.7274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1793 loss: 1.1793 2022/06/28 12:30:18 - mmengine - INFO - Epoch(train) [51][1000/3757] lr: 1.000e-03 eta: 13:47:06 time: 0.884 data_time: 0.007 memory: 5150 grad_norm: 7.5128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/06/28 12:30:22 - mmengine - INFO - Epoch(train) [51][1020/3757] lr: 1.000e-03 eta: 13:47:01 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.3977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1928 loss: 1.1928 2022/06/28 12:30:28 - mmengine - INFO - Epoch(train) [51][1040/3757] lr: 1.000e-03 eta: 13:46:56 time: 0.265 data_time: 0.009 memory: 5150 grad_norm: 6.5163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4779 loss: 1.4779 2022/06/28 12:30:33 - mmengine - INFO - Epoch(train) [51][1060/3757] lr: 1.000e-03 eta: 13:46:50 time: 0.422 data_time: 0.012 memory: 5150 grad_norm: 7.8194 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5040 loss: 1.5040 2022/06/28 12:30:38 - mmengine - INFO - Epoch(train) [51][1080/3757] lr: 1.000e-03 eta: 13:46:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.6969 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7662 loss: 1.7662 2022/06/28 12:30:44 - mmengine - INFO - Epoch(train) [51][1100/3757] lr: 1.000e-03 eta: 13:46:39 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.5015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0905 loss: 1.0905 2022/06/28 12:30:50 - mmengine - INFO - Epoch(train) [51][1120/3757] lr: 1.000e-03 eta: 13:46:35 time: 0.774 data_time: 0.007 memory: 5150 grad_norm: 6.4590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/06/28 12:30:54 - mmengine - INFO - Epoch(train) [51][1140/3757] lr: 1.000e-03 eta: 13:46:29 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.8902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/06/28 12:30:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:31:00 - mmengine - INFO - Epoch(train) [51][1160/3757] lr: 1.000e-03 eta: 13:46:24 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.4309 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0539 loss: 1.0539 2022/06/28 12:31:05 - mmengine - INFO - Epoch(train) [51][1180/3757] lr: 1.000e-03 eta: 13:46:18 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 6.7791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4992 loss: 1.4992 2022/06/28 12:31:10 - mmengine - INFO - Epoch(train) [51][1200/3757] lr: 1.000e-03 eta: 13:46:13 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.1347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3921 loss: 1.3921 2022/06/28 12:31:16 - mmengine - INFO - Epoch(train) [51][1220/3757] lr: 1.000e-03 eta: 13:46:07 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.7364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3791 loss: 1.3791 2022/06/28 12:31:21 - mmengine - INFO - Epoch(train) [51][1240/3757] lr: 1.000e-03 eta: 13:46:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.1565 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4928 loss: 1.4928 2022/06/28 12:31:26 - mmengine - INFO - Epoch(train) [51][1260/3757] lr: 1.000e-03 eta: 13:45:57 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.7006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/06/28 12:31:32 - mmengine - INFO - Epoch(train) [51][1280/3757] lr: 1.000e-03 eta: 13:45:52 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.9732 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6643 loss: 1.6643 2022/06/28 12:31:37 - mmengine - INFO - Epoch(train) [51][1300/3757] lr: 1.000e-03 eta: 13:45:46 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.3343 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/06/28 12:31:42 - mmengine - INFO - Epoch(train) [51][1320/3757] lr: 1.000e-03 eta: 13:45:41 time: 0.557 data_time: 0.007 memory: 5150 grad_norm: 5.7824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/06/28 12:31:48 - mmengine - INFO - Epoch(train) [51][1340/3757] lr: 1.000e-03 eta: 13:45:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.3947 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2333 loss: 1.2333 2022/06/28 12:31:54 - mmengine - INFO - Epoch(train) [51][1360/3757] lr: 1.000e-03 eta: 13:45:31 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.3912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4227 loss: 1.4227 2022/06/28 12:31:58 - mmengine - INFO - Epoch(train) [51][1380/3757] lr: 1.000e-03 eta: 13:45:25 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.5994 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6510 loss: 1.6510 2022/06/28 12:32:04 - mmengine - INFO - Epoch(train) [51][1400/3757] lr: 1.000e-03 eta: 13:45:20 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9775 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5941 loss: 1.5941 2022/06/28 12:32:10 - mmengine - INFO - Epoch(train) [51][1420/3757] lr: 1.000e-03 eta: 13:45:15 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 6.7571 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7486 loss: 1.7486 2022/06/28 12:32:15 - mmengine - INFO - Epoch(train) [51][1440/3757] lr: 1.000e-03 eta: 13:45:09 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.9436 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4628 loss: 1.4628 2022/06/28 12:32:20 - mmengine - INFO - Epoch(train) [51][1460/3757] lr: 1.000e-03 eta: 13:45:04 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.3599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6349 loss: 1.6349 2022/06/28 12:32:26 - mmengine - INFO - Epoch(train) [51][1480/3757] lr: 1.000e-03 eta: 13:45:00 time: 1.027 data_time: 0.007 memory: 5150 grad_norm: 6.4117 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7353 loss: 1.7353 2022/06/28 12:32:31 - mmengine - INFO - Epoch(train) [51][1500/3757] lr: 1.000e-03 eta: 13:44:54 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 5.6138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4583 loss: 1.4583 2022/06/28 12:32:36 - mmengine - INFO - Epoch(train) [51][1520/3757] lr: 1.000e-03 eta: 13:44:48 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.4163 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4118 loss: 1.4118 2022/06/28 12:32:42 - mmengine - INFO - Epoch(train) [51][1540/3757] lr: 1.000e-03 eta: 13:44:43 time: 0.800 data_time: 0.010 memory: 5150 grad_norm: 6.4246 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2170 loss: 1.2170 2022/06/28 12:32:47 - mmengine - INFO - Epoch(train) [51][1560/3757] lr: 1.000e-03 eta: 13:44:38 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.8479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7892 loss: 1.7892 2022/06/28 12:32:52 - mmengine - INFO - Epoch(train) [51][1580/3757] lr: 1.000e-03 eta: 13:44:33 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.1311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/06/28 12:32:58 - mmengine - INFO - Epoch(train) [51][1600/3757] lr: 1.000e-03 eta: 13:44:28 time: 0.834 data_time: 0.008 memory: 5150 grad_norm: 8.2855 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2483 loss: 1.2483 2022/06/28 12:33:03 - mmengine - INFO - Epoch(train) [51][1620/3757] lr: 1.000e-03 eta: 13:44:22 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0317 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1485 loss: 1.1485 2022/06/28 12:33:09 - mmengine - INFO - Epoch(train) [51][1640/3757] lr: 1.000e-03 eta: 13:44:17 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.9287 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5630 loss: 1.5630 2022/06/28 12:33:14 - mmengine - INFO - Epoch(train) [51][1660/3757] lr: 1.000e-03 eta: 13:44:12 time: 0.756 data_time: 0.007 memory: 5150 grad_norm: 6.3372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2116 loss: 1.2116 2022/06/28 12:33:19 - mmengine - INFO - Epoch(train) [51][1680/3757] lr: 1.000e-03 eta: 13:44:06 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.3765 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4681 loss: 1.4681 2022/06/28 12:33:24 - mmengine - INFO - Epoch(train) [51][1700/3757] lr: 1.000e-03 eta: 13:44:01 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.4615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0972 loss: 1.0972 2022/06/28 12:33:30 - mmengine - INFO - Epoch(train) [51][1720/3757] lr: 1.000e-03 eta: 13:43:56 time: 0.822 data_time: 0.011 memory: 5150 grad_norm: 7.4807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6992 loss: 1.6992 2022/06/28 12:33:35 - mmengine - INFO - Epoch(train) [51][1740/3757] lr: 1.000e-03 eta: 13:43:50 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.1070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3792 loss: 1.3792 2022/06/28 12:33:41 - mmengine - INFO - Epoch(train) [51][1760/3757] lr: 1.000e-03 eta: 13:43:45 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 8.1507 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3678 loss: 1.3678 2022/06/28 12:33:46 - mmengine - INFO - Epoch(train) [51][1780/3757] lr: 1.000e-03 eta: 13:43:40 time: 0.619 data_time: 0.008 memory: 5150 grad_norm: 7.7329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3431 loss: 1.3431 2022/06/28 12:33:51 - mmengine - INFO - Epoch(train) [51][1800/3757] lr: 1.000e-03 eta: 13:43:35 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.5483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4560 loss: 1.4560 2022/06/28 12:33:57 - mmengine - INFO - Epoch(train) [51][1820/3757] lr: 1.000e-03 eta: 13:43:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.8917 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/06/28 12:34:02 - mmengine - INFO - Epoch(train) [51][1840/3757] lr: 1.000e-03 eta: 13:43:24 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 6.3769 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5574 loss: 1.5574 2022/06/28 12:34:08 - mmengine - INFO - Epoch(train) [51][1860/3757] lr: 1.000e-03 eta: 13:43:19 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.4280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4489 loss: 1.4489 2022/06/28 12:34:13 - mmengine - INFO - Epoch(train) [51][1880/3757] lr: 1.000e-03 eta: 13:43:14 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.8409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3895 loss: 1.3895 2022/06/28 12:34:18 - mmengine - INFO - Epoch(train) [51][1900/3757] lr: 1.000e-03 eta: 13:43:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.6689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7038 loss: 1.7038 2022/06/28 12:34:24 - mmengine - INFO - Epoch(train) [51][1920/3757] lr: 1.000e-03 eta: 13:43:03 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4562 loss: 1.4562 2022/06/28 12:34:29 - mmengine - INFO - Epoch(train) [51][1940/3757] lr: 1.000e-03 eta: 13:42:58 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.8660 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7124 loss: 1.7124 2022/06/28 12:34:34 - mmengine - INFO - Epoch(train) [51][1960/3757] lr: 1.000e-03 eta: 13:42:52 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.8681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4678 loss: 1.4678 2022/06/28 12:34:40 - mmengine - INFO - Epoch(train) [51][1980/3757] lr: 1.000e-03 eta: 13:42:48 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3112 loss: 1.3112 2022/06/28 12:34:45 - mmengine - INFO - Epoch(train) [51][2000/3757] lr: 1.000e-03 eta: 13:42:42 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.4977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9453 loss: 1.9453 2022/06/28 12:34:51 - mmengine - INFO - Epoch(train) [51][2020/3757] lr: 1.000e-03 eta: 13:42:37 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 6.7549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/06/28 12:34:56 - mmengine - INFO - Epoch(train) [51][2040/3757] lr: 1.000e-03 eta: 13:42:32 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.7137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5648 loss: 1.5648 2022/06/28 12:35:01 - mmengine - INFO - Epoch(train) [51][2060/3757] lr: 1.000e-03 eta: 13:42:26 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.8223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3586 loss: 1.3586 2022/06/28 12:35:07 - mmengine - INFO - Epoch(train) [51][2080/3757] lr: 1.000e-03 eta: 13:42:21 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.6278 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/06/28 12:35:12 - mmengine - INFO - Epoch(train) [51][2100/3757] lr: 1.000e-03 eta: 13:42:16 time: 0.329 data_time: 0.008 memory: 5150 grad_norm: 6.6030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4568 loss: 1.4568 2022/06/28 12:35:18 - mmengine - INFO - Epoch(train) [51][2120/3757] lr: 1.000e-03 eta: 13:42:11 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 7.3086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1898 loss: 1.1898 2022/06/28 12:35:23 - mmengine - INFO - Epoch(train) [51][2140/3757] lr: 1.000e-03 eta: 13:42:06 time: 0.342 data_time: 0.012 memory: 5150 grad_norm: 6.2739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0593 loss: 1.0593 2022/06/28 12:35:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:35:29 - mmengine - INFO - Epoch(train) [51][2160/3757] lr: 1.000e-03 eta: 13:42:01 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9118 loss: 1.9118 2022/06/28 12:35:34 - mmengine - INFO - Epoch(train) [51][2180/3757] lr: 1.000e-03 eta: 13:41:55 time: 0.236 data_time: 0.011 memory: 5150 grad_norm: 6.7945 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4767 loss: 1.4767 2022/06/28 12:35:39 - mmengine - INFO - Epoch(train) [51][2200/3757] lr: 1.000e-03 eta: 13:41:50 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.8011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4389 loss: 1.4389 2022/06/28 12:35:45 - mmengine - INFO - Epoch(train) [51][2220/3757] lr: 1.000e-03 eta: 13:41:45 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.9420 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2745 loss: 1.2745 2022/06/28 12:35:50 - mmengine - INFO - Epoch(train) [51][2240/3757] lr: 1.000e-03 eta: 13:41:39 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 5.8019 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4163 loss: 1.4163 2022/06/28 12:35:56 - mmengine - INFO - Epoch(train) [51][2260/3757] lr: 1.000e-03 eta: 13:41:34 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.8069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1901 loss: 1.1901 2022/06/28 12:36:01 - mmengine - INFO - Epoch(train) [51][2280/3757] lr: 1.000e-03 eta: 13:41:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.9272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2655 loss: 1.2655 2022/06/28 12:36:06 - mmengine - INFO - Epoch(train) [51][2300/3757] lr: 1.000e-03 eta: 13:41:23 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 6.7865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5981 loss: 1.5981 2022/06/28 12:36:11 - mmengine - INFO - Epoch(train) [51][2320/3757] lr: 1.000e-03 eta: 13:41:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.7915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/06/28 12:36:17 - mmengine - INFO - Epoch(train) [51][2340/3757] lr: 1.000e-03 eta: 13:41:13 time: 0.883 data_time: 0.007 memory: 5150 grad_norm: 6.8104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5817 loss: 1.5817 2022/06/28 12:36:21 - mmengine - INFO - Epoch(train) [51][2360/3757] lr: 1.000e-03 eta: 13:41:07 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.3299 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1673 loss: 1.1673 2022/06/28 12:36:27 - mmengine - INFO - Epoch(train) [51][2380/3757] lr: 1.000e-03 eta: 13:41:02 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.5952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/06/28 12:36:32 - mmengine - INFO - Epoch(train) [51][2400/3757] lr: 1.000e-03 eta: 13:40:57 time: 0.835 data_time: 0.007 memory: 5150 grad_norm: 7.2654 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/06/28 12:36:37 - mmengine - INFO - Epoch(train) [51][2420/3757] lr: 1.000e-03 eta: 13:40:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.3244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3541 loss: 1.3541 2022/06/28 12:36:43 - mmengine - INFO - Epoch(train) [51][2440/3757] lr: 1.000e-03 eta: 13:40:46 time: 0.218 data_time: 0.010 memory: 5150 grad_norm: 7.4811 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5136 loss: 1.5136 2022/06/28 12:36:49 - mmengine - INFO - Epoch(train) [51][2460/3757] lr: 1.000e-03 eta: 13:40:41 time: 0.866 data_time: 0.008 memory: 5150 grad_norm: 6.1810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3617 loss: 1.3617 2022/06/28 12:36:54 - mmengine - INFO - Epoch(train) [51][2480/3757] lr: 1.000e-03 eta: 13:40:35 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.5956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6128 loss: 1.6128 2022/06/28 12:36:59 - mmengine - INFO - Epoch(train) [51][2500/3757] lr: 1.000e-03 eta: 13:40:30 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.0959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2327 loss: 1.2327 2022/06/28 12:37:04 - mmengine - INFO - Epoch(train) [51][2520/3757] lr: 1.000e-03 eta: 13:40:25 time: 0.796 data_time: 0.007 memory: 5150 grad_norm: 7.3299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5464 loss: 1.5464 2022/06/28 12:37:09 - mmengine - INFO - Epoch(train) [51][2540/3757] lr: 1.000e-03 eta: 13:40:19 time: 0.222 data_time: 0.012 memory: 5150 grad_norm: 6.4374 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2763 loss: 1.2763 2022/06/28 12:37:15 - mmengine - INFO - Epoch(train) [51][2560/3757] lr: 1.000e-03 eta: 13:40:14 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 6.6549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8135 loss: 1.8135 2022/06/28 12:37:20 - mmengine - INFO - Epoch(train) [51][2580/3757] lr: 1.000e-03 eta: 13:40:09 time: 0.747 data_time: 0.008 memory: 5150 grad_norm: 6.7607 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4626 loss: 1.4626 2022/06/28 12:37:25 - mmengine - INFO - Epoch(train) [51][2600/3757] lr: 1.000e-03 eta: 13:40:03 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 8.5439 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/06/28 12:37:31 - mmengine - INFO - Epoch(train) [51][2620/3757] lr: 1.000e-03 eta: 13:39:58 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 6.4921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2098 loss: 1.2098 2022/06/28 12:37:37 - mmengine - INFO - Epoch(train) [51][2640/3757] lr: 1.000e-03 eta: 13:39:53 time: 0.730 data_time: 0.007 memory: 5150 grad_norm: 5.8231 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3311 loss: 1.3311 2022/06/28 12:37:41 - mmengine - INFO - Epoch(train) [51][2660/3757] lr: 1.000e-03 eta: 13:39:47 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 7.2870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5073 loss: 1.5073 2022/06/28 12:37:47 - mmengine - INFO - Epoch(train) [51][2680/3757] lr: 1.000e-03 eta: 13:39:43 time: 0.215 data_time: 0.028 memory: 5150 grad_norm: 7.6176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2314 loss: 1.2314 2022/06/28 12:37:53 - mmengine - INFO - Epoch(train) [51][2700/3757] lr: 1.000e-03 eta: 13:39:37 time: 0.244 data_time: 0.007 memory: 5150 grad_norm: 8.7554 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1268 loss: 2.1268 2022/06/28 12:37:57 - mmengine - INFO - Epoch(train) [51][2720/3757] lr: 1.000e-03 eta: 13:39:32 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 7.0176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4078 loss: 1.4078 2022/06/28 12:38:03 - mmengine - INFO - Epoch(train) [51][2740/3757] lr: 1.000e-03 eta: 13:39:27 time: 0.288 data_time: 0.016 memory: 5150 grad_norm: 6.0693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3936 loss: 1.3936 2022/06/28 12:38:09 - mmengine - INFO - Epoch(train) [51][2760/3757] lr: 1.000e-03 eta: 13:39:21 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4200 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2775 loss: 1.2775 2022/06/28 12:38:14 - mmengine - INFO - Epoch(train) [51][2780/3757] lr: 1.000e-03 eta: 13:39:16 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 5.8871 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7626 loss: 1.7626 2022/06/28 12:38:20 - mmengine - INFO - Epoch(train) [51][2800/3757] lr: 1.000e-03 eta: 13:39:11 time: 0.761 data_time: 0.020 memory: 5150 grad_norm: 6.9453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4975 loss: 1.4975 2022/06/28 12:38:24 - mmengine - INFO - Epoch(train) [51][2820/3757] lr: 1.000e-03 eta: 13:39:05 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 6.5283 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2473 loss: 1.2473 2022/06/28 12:38:30 - mmengine - INFO - Epoch(train) [51][2840/3757] lr: 1.000e-03 eta: 13:39:00 time: 0.194 data_time: 0.018 memory: 5150 grad_norm: 6.1303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1747 loss: 1.1747 2022/06/28 12:38:36 - mmengine - INFO - Epoch(train) [51][2860/3757] lr: 1.000e-03 eta: 13:38:55 time: 0.236 data_time: 0.010 memory: 5150 grad_norm: 6.0990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2845 loss: 1.2845 2022/06/28 12:38:41 - mmengine - INFO - Epoch(train) [51][2880/3757] lr: 1.000e-03 eta: 13:38:50 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 6.8051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4355 loss: 1.4355 2022/06/28 12:38:46 - mmengine - INFO - Epoch(train) [51][2900/3757] lr: 1.000e-03 eta: 13:38:44 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 6.7563 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5862 loss: 1.5862 2022/06/28 12:38:51 - mmengine - INFO - Epoch(train) [51][2920/3757] lr: 1.000e-03 eta: 13:38:39 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 5.2496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5939 loss: 1.5939 2022/06/28 12:38:57 - mmengine - INFO - Epoch(train) [51][2940/3757] lr: 1.000e-03 eta: 13:38:34 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 7.4864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6494 loss: 1.6494 2022/06/28 12:39:01 - mmengine - INFO - Epoch(train) [51][2960/3757] lr: 1.000e-03 eta: 13:38:28 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.1117 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2133 loss: 1.2133 2022/06/28 12:39:07 - mmengine - INFO - Epoch(train) [51][2980/3757] lr: 1.000e-03 eta: 13:38:23 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.5512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2901 loss: 1.2901 2022/06/28 12:39:13 - mmengine - INFO - Epoch(train) [51][3000/3757] lr: 1.000e-03 eta: 13:38:18 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.8449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3675 loss: 1.3675 2022/06/28 12:39:18 - mmengine - INFO - Epoch(train) [51][3020/3757] lr: 1.000e-03 eta: 13:38:12 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.5678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/06/28 12:39:23 - mmengine - INFO - Epoch(train) [51][3040/3757] lr: 1.000e-03 eta: 13:38:07 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 7.1170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6031 loss: 1.6031 2022/06/28 12:39:29 - mmengine - INFO - Epoch(train) [51][3060/3757] lr: 1.000e-03 eta: 13:38:02 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.9348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8320 loss: 1.8320 2022/06/28 12:39:34 - mmengine - INFO - Epoch(train) [51][3080/3757] lr: 1.000e-03 eta: 13:37:56 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 5.7021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/06/28 12:39:39 - mmengine - INFO - Epoch(train) [51][3100/3757] lr: 1.000e-03 eta: 13:37:51 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.0238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3267 loss: 1.3267 2022/06/28 12:39:45 - mmengine - INFO - Epoch(train) [51][3120/3757] lr: 1.000e-03 eta: 13:37:46 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.3624 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3640 loss: 1.3640 2022/06/28 12:39:50 - mmengine - INFO - Epoch(train) [51][3140/3757] lr: 1.000e-03 eta: 13:37:41 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.2967 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3508 loss: 1.3508 2022/06/28 12:39:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:39:55 - mmengine - INFO - Epoch(train) [51][3160/3757] lr: 1.000e-03 eta: 13:37:35 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 7.0661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2430 loss: 1.2430 2022/06/28 12:40:01 - mmengine - INFO - Epoch(train) [51][3180/3757] lr: 1.000e-03 eta: 13:37:30 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3605 loss: 1.3605 2022/06/28 12:40:06 - mmengine - INFO - Epoch(train) [51][3200/3757] lr: 1.000e-03 eta: 13:37:25 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.3032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1911 loss: 1.1911 2022/06/28 12:40:11 - mmengine - INFO - Epoch(train) [51][3220/3757] lr: 1.000e-03 eta: 13:37:20 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 5.6387 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/06/28 12:40:17 - mmengine - INFO - Epoch(train) [51][3240/3757] lr: 1.000e-03 eta: 13:37:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 4.9709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/06/28 12:40:21 - mmengine - INFO - Epoch(train) [51][3260/3757] lr: 1.000e-03 eta: 13:37:08 time: 0.199 data_time: 0.021 memory: 5150 grad_norm: 8.0073 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3575 loss: 1.3575 2022/06/28 12:40:27 - mmengine - INFO - Epoch(train) [51][3280/3757] lr: 1.000e-03 eta: 13:37:03 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.2089 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7319 loss: 1.7319 2022/06/28 12:40:32 - mmengine - INFO - Epoch(train) [51][3300/3757] lr: 1.000e-03 eta: 13:36:58 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.3031 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8581 loss: 1.8581 2022/06/28 12:40:37 - mmengine - INFO - Epoch(train) [51][3320/3757] lr: 1.000e-03 eta: 13:36:52 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 8.2651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3220 loss: 1.3220 2022/06/28 12:40:42 - mmengine - INFO - Epoch(train) [51][3340/3757] lr: 1.000e-03 eta: 13:36:47 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 5.1827 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3972 loss: 1.3972 2022/06/28 12:40:48 - mmengine - INFO - Epoch(train) [51][3360/3757] lr: 1.000e-03 eta: 13:36:41 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2762 loss: 1.2762 2022/06/28 12:40:53 - mmengine - INFO - Epoch(train) [51][3380/3757] lr: 1.000e-03 eta: 13:36:36 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 7.2604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4099 loss: 1.4099 2022/06/28 12:40:59 - mmengine - INFO - Epoch(train) [51][3400/3757] lr: 1.000e-03 eta: 13:36:31 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.7171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5207 loss: 1.5207 2022/06/28 12:41:04 - mmengine - INFO - Epoch(train) [51][3420/3757] lr: 1.000e-03 eta: 13:36:26 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.0102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1902 loss: 1.1902 2022/06/28 12:41:10 - mmengine - INFO - Epoch(train) [51][3440/3757] lr: 1.000e-03 eta: 13:36:21 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 6.4882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6542 loss: 1.6542 2022/06/28 12:41:15 - mmengine - INFO - Epoch(train) [51][3460/3757] lr: 1.000e-03 eta: 13:36:15 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 7.3486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2739 loss: 1.2739 2022/06/28 12:41:20 - mmengine - INFO - Epoch(train) [51][3480/3757] lr: 1.000e-03 eta: 13:36:10 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.0128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3384 loss: 1.3384 2022/06/28 12:41:25 - mmengine - INFO - Epoch(train) [51][3500/3757] lr: 1.000e-03 eta: 13:36:05 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 7.0067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5094 loss: 1.5094 2022/06/28 12:41:31 - mmengine - INFO - Epoch(train) [51][3520/3757] lr: 1.000e-03 eta: 13:35:59 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.9169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9418 loss: 1.9418 2022/06/28 12:41:36 - mmengine - INFO - Epoch(train) [51][3540/3757] lr: 1.000e-03 eta: 13:35:54 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 6.3319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/06/28 12:41:41 - mmengine - INFO - Epoch(train) [51][3560/3757] lr: 1.000e-03 eta: 13:35:49 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.3862 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5130 loss: 1.5130 2022/06/28 12:41:46 - mmengine - INFO - Epoch(train) [51][3580/3757] lr: 1.000e-03 eta: 13:35:43 time: 0.288 data_time: 0.010 memory: 5150 grad_norm: 6.5091 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/06/28 12:41:52 - mmengine - INFO - Epoch(train) [51][3600/3757] lr: 1.000e-03 eta: 13:35:38 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.7073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/06/28 12:41:57 - mmengine - INFO - Epoch(train) [51][3620/3757] lr: 1.000e-03 eta: 13:35:33 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 6.2379 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6166 loss: 1.6166 2022/06/28 12:42:03 - mmengine - INFO - Epoch(train) [51][3640/3757] lr: 1.000e-03 eta: 13:35:28 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 5.6593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3437 loss: 1.3437 2022/06/28 12:42:08 - mmengine - INFO - Epoch(train) [51][3660/3757] lr: 1.000e-03 eta: 13:35:22 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.3742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1673 loss: 1.1673 2022/06/28 12:42:13 - mmengine - INFO - Epoch(train) [51][3680/3757] lr: 1.000e-03 eta: 13:35:17 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5272 loss: 1.5272 2022/06/28 12:42:19 - mmengine - INFO - Epoch(train) [51][3700/3757] lr: 1.000e-03 eta: 13:35:12 time: 0.581 data_time: 0.015 memory: 5150 grad_norm: 5.6505 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1660 loss: 1.1660 2022/06/28 12:42:24 - mmengine - INFO - Epoch(train) [51][3720/3757] lr: 1.000e-03 eta: 13:35:07 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.1997 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2770 loss: 1.2770 2022/06/28 12:42:30 - mmengine - INFO - Epoch(train) [51][3740/3757] lr: 1.000e-03 eta: 13:35:02 time: 0.190 data_time: 0.012 memory: 5150 grad_norm: 6.7223 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3342 loss: 1.3342 2022/06/28 12:42:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:43:07 - mmengine - INFO - Epoch(val) [51][20/310] eta: 0:05:51 time: 1.128 data_time: 0.473 memory: 9746 2022/06/28 12:43:29 - mmengine - INFO - Epoch(val) [51][40/310] eta: 0:04:50 time: 1.034 data_time: 0.378 memory: 9746 2022/06/28 12:43:53 - mmengine - INFO - Epoch(val) [51][60/310] eta: 0:04:27 time: 1.115 data_time: 0.465 memory: 9746 2022/06/28 12:44:15 - mmengine - INFO - Epoch(val) [51][80/310] eta: 0:04:06 time: 1.014 data_time: 0.367 memory: 9746 2022/06/28 12:44:39 - mmengine - INFO - Epoch(val) [51][100/310] eta: 0:04:08 time: 1.266 data_time: 0.630 memory: 9746 2022/06/28 12:45:01 - mmengine - INFO - Epoch(val) [51][120/310] eta: 0:03:23 time: 1.123 data_time: 0.473 memory: 9746 2022/06/28 12:45:25 - mmengine - INFO - Epoch(val) [51][140/310] eta: 0:03:21 time: 1.115 data_time: 0.466 memory: 9746 2022/06/28 12:45:49 - mmengine - INFO - Epoch(val) [51][160/310] eta: 0:03:17 time: 3.661 data_time: 2.989 memory: 9746 2022/06/28 12:46:13 - mmengine - INFO - Epoch(val) [51][180/310] eta: 0:02:45 time: 1.102 data_time: 0.460 memory: 9746 2022/06/28 12:46:35 - mmengine - INFO - Epoch(val) [51][200/310] eta: 0:02:01 time: 1.132 data_time: 0.468 memory: 9746 2022/06/28 12:46:56 - mmengine - INFO - Epoch(val) [51][220/310] eta: 0:01:33 time: 1.066 data_time: 0.429 memory: 9746 2022/06/28 12:47:19 - mmengine - INFO - Epoch(val) [51][240/310] eta: 0:01:24 time: 1.024 data_time: 0.374 memory: 9746 2022/06/28 12:47:41 - mmengine - INFO - Epoch(val) [51][260/310] eta: 0:00:59 time: 1.053 data_time: 0.402 memory: 9746 2022/06/28 12:48:06 - mmengine - INFO - Epoch(val) [51][280/310] eta: 0:00:35 time: 2.561 data_time: 1.871 memory: 9746 2022/06/28 12:48:24 - mmengine - INFO - Epoch(val) [51][300/310] eta: 0:00:08 time: 0.637 data_time: 0.070 memory: 9746 2022/06/28 12:48:38 - mmengine - INFO - Epoch(val) [51][310/310] acc/top1: 0.7005 acc/top5: 0.8945 acc/mean1: 0.7005 2022/06/28 12:48:46 - mmengine - INFO - Epoch(train) [52][20/3757] lr: 1.000e-03 eta: 13:34:52 time: 0.196 data_time: 0.007 memory: 9746 grad_norm: 7.1010 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4504 loss: 1.4504 2022/06/28 12:48:52 - mmengine - INFO - Epoch(train) [52][40/3757] lr: 1.000e-03 eta: 13:34:47 time: 0.212 data_time: 0.027 memory: 5150 grad_norm: 6.4166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3868 loss: 1.3868 2022/06/28 12:48:57 - mmengine - INFO - Epoch(train) [52][60/3757] lr: 1.000e-03 eta: 13:34:42 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.8688 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5354 loss: 1.5354 2022/06/28 12:49:03 - mmengine - INFO - Epoch(train) [52][80/3757] lr: 1.000e-03 eta: 13:34:37 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7091 loss: 1.7091 2022/06/28 12:49:08 - mmengine - INFO - Epoch(train) [52][100/3757] lr: 1.000e-03 eta: 13:34:32 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.6869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1610 loss: 1.1610 2022/06/28 12:49:13 - mmengine - INFO - Epoch(train) [52][120/3757] lr: 1.000e-03 eta: 13:34:26 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 6.5825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6460 loss: 1.6460 2022/06/28 12:49:19 - mmengine - INFO - Epoch(train) [52][140/3757] lr: 1.000e-03 eta: 13:34:22 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.4118 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/06/28 12:49:24 - mmengine - INFO - Epoch(train) [52][160/3757] lr: 1.000e-03 eta: 13:34:16 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2892 loss: 1.2892 2022/06/28 12:49:29 - mmengine - INFO - Epoch(train) [52][180/3757] lr: 1.000e-03 eta: 13:34:10 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 6.9849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4310 loss: 1.4310 2022/06/28 12:49:35 - mmengine - INFO - Epoch(train) [52][200/3757] lr: 1.000e-03 eta: 13:34:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.2437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2826 loss: 1.2826 2022/06/28 12:49:40 - mmengine - INFO - Epoch(train) [52][220/3757] lr: 1.000e-03 eta: 13:34:00 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.0492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4455 loss: 1.4455 2022/06/28 12:49:45 - mmengine - INFO - Epoch(train) [52][240/3757] lr: 1.000e-03 eta: 13:33:54 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6707 loss: 1.6707 2022/06/28 12:49:51 - mmengine - INFO - Epoch(train) [52][260/3757] lr: 1.000e-03 eta: 13:33:50 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.6657 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2761 loss: 1.2761 2022/06/28 12:49:57 - mmengine - INFO - Epoch(train) [52][280/3757] lr: 1.000e-03 eta: 13:33:45 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.9502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2335 loss: 1.2335 2022/06/28 12:50:02 - mmengine - INFO - Epoch(train) [52][300/3757] lr: 1.000e-03 eta: 13:33:39 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 6.7589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2777 loss: 1.2777 2022/06/28 12:50:07 - mmengine - INFO - Epoch(train) [52][320/3757] lr: 1.000e-03 eta: 13:33:34 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 6.2114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9017 loss: 1.9017 2022/06/28 12:50:13 - mmengine - INFO - Epoch(train) [52][340/3757] lr: 1.000e-03 eta: 13:33:29 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 7.2531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9534 loss: 1.9534 2022/06/28 12:50:18 - mmengine - INFO - Epoch(train) [52][360/3757] lr: 1.000e-03 eta: 13:33:23 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 5.3930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3689 loss: 1.3689 2022/06/28 12:50:23 - mmengine - INFO - Epoch(train) [52][380/3757] lr: 1.000e-03 eta: 13:33:18 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.0960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4499 loss: 1.4499 2022/06/28 12:50:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:50:29 - mmengine - INFO - Epoch(train) [52][400/3757] lr: 1.000e-03 eta: 13:33:13 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 5.5102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4354 loss: 1.4354 2022/06/28 12:50:34 - mmengine - INFO - Epoch(train) [52][420/3757] lr: 1.000e-03 eta: 13:33:07 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 5.9138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1848 loss: 1.1848 2022/06/28 12:50:39 - mmengine - INFO - Epoch(train) [52][440/3757] lr: 1.000e-03 eta: 13:33:02 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.4450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7358 loss: 1.7358 2022/06/28 12:50:45 - mmengine - INFO - Epoch(train) [52][460/3757] lr: 1.000e-03 eta: 13:32:57 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.8533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4621 loss: 1.4621 2022/06/28 12:50:50 - mmengine - INFO - Epoch(train) [52][480/3757] lr: 1.000e-03 eta: 13:32:51 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/06/28 12:50:56 - mmengine - INFO - Epoch(train) [52][500/3757] lr: 1.000e-03 eta: 13:32:46 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 7.0204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3696 loss: 1.3696 2022/06/28 12:51:01 - mmengine - INFO - Epoch(train) [52][520/3757] lr: 1.000e-03 eta: 13:32:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.5591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2241 loss: 1.2241 2022/06/28 12:51:05 - mmengine - INFO - Epoch(train) [52][540/3757] lr: 1.000e-03 eta: 13:32:35 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.9472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2494 loss: 1.2494 2022/06/28 12:51:11 - mmengine - INFO - Epoch(train) [52][560/3757] lr: 1.000e-03 eta: 13:32:30 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.7327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8104 loss: 1.8104 2022/06/28 12:51:16 - mmengine - INFO - Epoch(train) [52][580/3757] lr: 1.000e-03 eta: 13:32:25 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.2427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/06/28 12:51:21 - mmengine - INFO - Epoch(train) [52][600/3757] lr: 1.000e-03 eta: 13:32:19 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.6486 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/06/28 12:51:27 - mmengine - INFO - Epoch(train) [52][620/3757] lr: 1.000e-03 eta: 13:32:14 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 7.0923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0647 loss: 2.0647 2022/06/28 12:51:32 - mmengine - INFO - Epoch(train) [52][640/3757] lr: 1.000e-03 eta: 13:32:09 time: 0.211 data_time: 0.017 memory: 5150 grad_norm: 7.8324 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3252 loss: 1.3252 2022/06/28 12:51:37 - mmengine - INFO - Epoch(train) [52][660/3757] lr: 1.000e-03 eta: 13:32:03 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 5.7335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/06/28 12:51:43 - mmengine - INFO - Epoch(train) [52][680/3757] lr: 1.000e-03 eta: 13:31:58 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 6.7835 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6858 loss: 1.6858 2022/06/28 12:51:49 - mmengine - INFO - Epoch(train) [52][700/3757] lr: 1.000e-03 eta: 13:31:53 time: 0.205 data_time: 0.035 memory: 5150 grad_norm: 6.3970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4413 loss: 1.4413 2022/06/28 12:51:54 - mmengine - INFO - Epoch(train) [52][720/3757] lr: 1.000e-03 eta: 13:31:47 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 7.1805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4235 loss: 1.4235 2022/06/28 12:51:59 - mmengine - INFO - Epoch(train) [52][740/3757] lr: 1.000e-03 eta: 13:31:43 time: 0.223 data_time: 0.048 memory: 5150 grad_norm: 6.6536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4927 loss: 1.4927 2022/06/28 12:52:05 - mmengine - INFO - Epoch(train) [52][760/3757] lr: 1.000e-03 eta: 13:31:37 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.6158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/06/28 12:52:10 - mmengine - INFO - Epoch(train) [52][780/3757] lr: 1.000e-03 eta: 13:31:32 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 6.4752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7485 loss: 1.7485 2022/06/28 12:52:15 - mmengine - INFO - Epoch(train) [52][800/3757] lr: 1.000e-03 eta: 13:31:26 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.2953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4353 loss: 1.4353 2022/06/28 12:52:20 - mmengine - INFO - Epoch(train) [52][820/3757] lr: 1.000e-03 eta: 13:31:21 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.9047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/06/28 12:52:25 - mmengine - INFO - Epoch(train) [52][840/3757] lr: 1.000e-03 eta: 13:31:15 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 6.5157 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6512 loss: 1.6512 2022/06/28 12:52:31 - mmengine - INFO - Epoch(train) [52][860/3757] lr: 1.000e-03 eta: 13:31:10 time: 0.214 data_time: 0.037 memory: 5150 grad_norm: 6.2321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2738 loss: 1.2738 2022/06/28 12:52:36 - mmengine - INFO - Epoch(train) [52][880/3757] lr: 1.000e-03 eta: 13:31:05 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.6216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3863 loss: 1.3863 2022/06/28 12:52:41 - mmengine - INFO - Epoch(train) [52][900/3757] lr: 1.000e-03 eta: 13:30:59 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 7.0152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5300 loss: 1.5300 2022/06/28 12:52:46 - mmengine - INFO - Epoch(train) [52][920/3757] lr: 1.000e-03 eta: 13:30:54 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 8.3447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5665 loss: 1.5665 2022/06/28 12:52:52 - mmengine - INFO - Epoch(train) [52][940/3757] lr: 1.000e-03 eta: 13:30:48 time: 0.208 data_time: 0.026 memory: 5150 grad_norm: 6.2432 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4632 loss: 1.4632 2022/06/28 12:52:56 - mmengine - INFO - Epoch(train) [52][960/3757] lr: 1.000e-03 eta: 13:30:42 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.6920 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5583 loss: 1.5583 2022/06/28 12:53:01 - mmengine - INFO - Epoch(train) [52][980/3757] lr: 1.000e-03 eta: 13:30:37 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.8320 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5852 loss: 1.5852 2022/06/28 12:53:07 - mmengine - INFO - Epoch(train) [52][1000/3757] lr: 1.000e-03 eta: 13:30:32 time: 0.248 data_time: 0.007 memory: 5150 grad_norm: 6.6160 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6677 loss: 1.6677 2022/06/28 12:53:12 - mmengine - INFO - Epoch(train) [52][1020/3757] lr: 1.000e-03 eta: 13:30:26 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 6.0491 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3229 loss: 1.3229 2022/06/28 12:53:18 - mmengine - INFO - Epoch(train) [52][1040/3757] lr: 1.000e-03 eta: 13:30:21 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.3062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2174 loss: 1.2174 2022/06/28 12:53:23 - mmengine - INFO - Epoch(train) [52][1060/3757] lr: 1.000e-03 eta: 13:30:16 time: 0.221 data_time: 0.017 memory: 5150 grad_norm: 6.6251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5206 loss: 1.5206 2022/06/28 12:53:28 - mmengine - INFO - Epoch(train) [52][1080/3757] lr: 1.000e-03 eta: 13:30:11 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.7961 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4669 loss: 1.4669 2022/06/28 12:53:33 - mmengine - INFO - Epoch(train) [52][1100/3757] lr: 1.000e-03 eta: 13:30:05 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.5566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8592 loss: 0.8592 2022/06/28 12:53:39 - mmengine - INFO - Epoch(train) [52][1120/3757] lr: 1.000e-03 eta: 13:30:00 time: 0.213 data_time: 0.034 memory: 5150 grad_norm: 6.1726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5440 loss: 1.5440 2022/06/28 12:53:44 - mmengine - INFO - Epoch(train) [52][1140/3757] lr: 1.000e-03 eta: 13:29:55 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 6.3968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3809 loss: 1.3809 2022/06/28 12:53:50 - mmengine - INFO - Epoch(train) [52][1160/3757] lr: 1.000e-03 eta: 13:29:50 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.8379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6594 loss: 1.6594 2022/06/28 12:53:54 - mmengine - INFO - Epoch(train) [52][1180/3757] lr: 1.000e-03 eta: 13:29:43 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 7.1188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/06/28 12:53:59 - mmengine - INFO - Epoch(train) [52][1200/3757] lr: 1.000e-03 eta: 13:29:37 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 8.3574 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/06/28 12:54:04 - mmengine - INFO - Epoch(train) [52][1220/3757] lr: 1.000e-03 eta: 13:29:32 time: 0.198 data_time: 0.019 memory: 5150 grad_norm: 7.0135 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8406 loss: 1.8406 2022/06/28 12:54:10 - mmengine - INFO - Epoch(train) [52][1240/3757] lr: 1.000e-03 eta: 13:29:27 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 6.8955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9573 loss: 1.9573 2022/06/28 12:54:15 - mmengine - INFO - Epoch(train) [52][1260/3757] lr: 1.000e-03 eta: 13:29:21 time: 0.196 data_time: 0.017 memory: 5150 grad_norm: 5.7555 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/06/28 12:54:20 - mmengine - INFO - Epoch(train) [52][1280/3757] lr: 1.000e-03 eta: 13:29:16 time: 0.203 data_time: 0.029 memory: 5150 grad_norm: 6.4579 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3748 loss: 1.3748 2022/06/28 12:54:25 - mmengine - INFO - Epoch(train) [52][1300/3757] lr: 1.000e-03 eta: 13:29:11 time: 0.213 data_time: 0.023 memory: 5150 grad_norm: 6.1534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/06/28 12:54:31 - mmengine - INFO - Epoch(train) [52][1320/3757] lr: 1.000e-03 eta: 13:29:06 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1199 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7645 loss: 1.7645 2022/06/28 12:54:37 - mmengine - INFO - Epoch(train) [52][1340/3757] lr: 1.000e-03 eta: 13:29:01 time: 0.207 data_time: 0.022 memory: 5150 grad_norm: 7.0918 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5062 loss: 1.5062 2022/06/28 12:54:42 - mmengine - INFO - Epoch(train) [52][1360/3757] lr: 1.000e-03 eta: 13:28:55 time: 0.562 data_time: 0.028 memory: 5150 grad_norm: 6.7703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7841 loss: 1.7841 2022/06/28 12:54:47 - mmengine - INFO - Epoch(train) [52][1380/3757] lr: 1.000e-03 eta: 13:28:50 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 7.6802 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5552 loss: 1.5552 2022/06/28 12:54:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:54:52 - mmengine - INFO - Epoch(train) [52][1400/3757] lr: 1.000e-03 eta: 13:28:45 time: 0.200 data_time: 0.022 memory: 5150 grad_norm: 7.0545 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3617 loss: 1.3617 2022/06/28 12:54:58 - mmengine - INFO - Epoch(train) [52][1420/3757] lr: 1.000e-03 eta: 13:28:39 time: 0.639 data_time: 0.019 memory: 5150 grad_norm: 7.0209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6169 loss: 1.6169 2022/06/28 12:55:03 - mmengine - INFO - Epoch(train) [52][1440/3757] lr: 1.000e-03 eta: 13:28:34 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.1229 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3377 loss: 1.3377 2022/06/28 12:55:09 - mmengine - INFO - Epoch(train) [52][1460/3757] lr: 1.000e-03 eta: 13:28:29 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 7.5621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5745 loss: 1.5745 2022/06/28 12:55:14 - mmengine - INFO - Epoch(train) [52][1480/3757] lr: 1.000e-03 eta: 13:28:23 time: 0.307 data_time: 0.016 memory: 5150 grad_norm: 6.3099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2621 loss: 1.2621 2022/06/28 12:55:19 - mmengine - INFO - Epoch(train) [52][1500/3757] lr: 1.000e-03 eta: 13:28:18 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.0084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/06/28 12:55:25 - mmengine - INFO - Epoch(train) [52][1520/3757] lr: 1.000e-03 eta: 13:28:13 time: 0.205 data_time: 0.023 memory: 5150 grad_norm: 6.7799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/06/28 12:55:30 - mmengine - INFO - Epoch(train) [52][1540/3757] lr: 1.000e-03 eta: 13:28:08 time: 0.622 data_time: 0.026 memory: 5150 grad_norm: 6.5242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7086 loss: 1.7086 2022/06/28 12:55:35 - mmengine - INFO - Epoch(train) [52][1560/3757] lr: 1.000e-03 eta: 13:28:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.9035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4441 loss: 1.4441 2022/06/28 12:55:41 - mmengine - INFO - Epoch(train) [52][1580/3757] lr: 1.000e-03 eta: 13:27:57 time: 0.205 data_time: 0.026 memory: 5150 grad_norm: 7.3697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6501 loss: 1.6501 2022/06/28 12:55:46 - mmengine - INFO - Epoch(train) [52][1600/3757] lr: 1.000e-03 eta: 13:27:51 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 5.8626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5923 loss: 1.5923 2022/06/28 12:55:51 - mmengine - INFO - Epoch(train) [52][1620/3757] lr: 1.000e-03 eta: 13:27:46 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.6644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3536 loss: 1.3536 2022/06/28 12:55:57 - mmengine - INFO - Epoch(train) [52][1640/3757] lr: 1.000e-03 eta: 13:27:42 time: 0.205 data_time: 0.025 memory: 5150 grad_norm: 6.2780 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5455 loss: 1.5455 2022/06/28 12:56:02 - mmengine - INFO - Epoch(train) [52][1660/3757] lr: 1.000e-03 eta: 13:27:36 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 6.2913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5723 loss: 1.5723 2022/06/28 12:56:07 - mmengine - INFO - Epoch(train) [52][1680/3757] lr: 1.000e-03 eta: 13:27:30 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.4549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6394 loss: 1.6394 2022/06/28 12:56:13 - mmengine - INFO - Epoch(train) [52][1700/3757] lr: 1.000e-03 eta: 13:27:25 time: 0.199 data_time: 0.023 memory: 5150 grad_norm: 7.1077 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3101 loss: 1.3101 2022/06/28 12:56:18 - mmengine - INFO - Epoch(train) [52][1720/3757] lr: 1.000e-03 eta: 13:27:20 time: 0.262 data_time: 0.008 memory: 5150 grad_norm: 7.8072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/06/28 12:56:23 - mmengine - INFO - Epoch(train) [52][1740/3757] lr: 1.000e-03 eta: 13:27:14 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.2397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6351 loss: 1.6351 2022/06/28 12:56:28 - mmengine - INFO - Epoch(train) [52][1760/3757] lr: 1.000e-03 eta: 13:27:09 time: 0.201 data_time: 0.027 memory: 5150 grad_norm: 6.9296 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3076 loss: 1.3076 2022/06/28 12:56:33 - mmengine - INFO - Epoch(train) [52][1780/3757] lr: 1.000e-03 eta: 13:27:03 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.0193 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3146 loss: 1.3146 2022/06/28 12:56:39 - mmengine - INFO - Epoch(train) [52][1800/3757] lr: 1.000e-03 eta: 13:26:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.7542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1470 loss: 1.1470 2022/06/28 12:56:44 - mmengine - INFO - Epoch(train) [52][1820/3757] lr: 1.000e-03 eta: 13:26:53 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.5021 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3650 loss: 1.3650 2022/06/28 12:56:48 - mmengine - INFO - Epoch(train) [52][1840/3757] lr: 1.000e-03 eta: 13:26:47 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.3021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/06/28 12:56:54 - mmengine - INFO - Epoch(train) [52][1860/3757] lr: 1.000e-03 eta: 13:26:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.1493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/06/28 12:57:00 - mmengine - INFO - Epoch(train) [52][1880/3757] lr: 1.000e-03 eta: 13:26:37 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.1156 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2810 loss: 1.2810 2022/06/28 12:57:04 - mmengine - INFO - Epoch(train) [52][1900/3757] lr: 1.000e-03 eta: 13:26:31 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.1937 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/06/28 12:57:10 - mmengine - INFO - Epoch(train) [52][1920/3757] lr: 1.000e-03 eta: 13:26:26 time: 0.265 data_time: 0.010 memory: 5150 grad_norm: 6.4111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1477 loss: 1.1477 2022/06/28 12:57:15 - mmengine - INFO - Epoch(train) [52][1940/3757] lr: 1.000e-03 eta: 13:26:21 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.5258 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2225 loss: 1.2225 2022/06/28 12:57:21 - mmengine - INFO - Epoch(train) [52][1960/3757] lr: 1.000e-03 eta: 13:26:16 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.5527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4790 loss: 1.4790 2022/06/28 12:57:26 - mmengine - INFO - Epoch(train) [52][1980/3757] lr: 1.000e-03 eta: 13:26:10 time: 0.554 data_time: 0.008 memory: 5150 grad_norm: 5.4844 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4575 loss: 1.4575 2022/06/28 12:57:32 - mmengine - INFO - Epoch(train) [52][2000/3757] lr: 1.000e-03 eta: 13:26:05 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 5.4244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1828 loss: 1.1828 2022/06/28 12:57:37 - mmengine - INFO - Epoch(train) [52][2020/3757] lr: 1.000e-03 eta: 13:25:59 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 7.6524 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5034 loss: 1.5034 2022/06/28 12:57:42 - mmengine - INFO - Epoch(train) [52][2040/3757] lr: 1.000e-03 eta: 13:25:54 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.4159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3809 loss: 1.3809 2022/06/28 12:57:47 - mmengine - INFO - Epoch(train) [52][2060/3757] lr: 1.000e-03 eta: 13:25:49 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.7821 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5712 loss: 1.5712 2022/06/28 12:57:52 - mmengine - INFO - Epoch(train) [52][2080/3757] lr: 1.000e-03 eta: 13:25:43 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.1546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6157 loss: 1.6157 2022/06/28 12:57:58 - mmengine - INFO - Epoch(train) [52][2100/3757] lr: 1.000e-03 eta: 13:25:38 time: 0.301 data_time: 0.008 memory: 5150 grad_norm: 6.4846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5615 loss: 1.5615 2022/06/28 12:58:04 - mmengine - INFO - Epoch(train) [52][2120/3757] lr: 1.000e-03 eta: 13:25:33 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.5830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3853 loss: 1.3853 2022/06/28 12:58:09 - mmengine - INFO - Epoch(train) [52][2140/3757] lr: 1.000e-03 eta: 13:25:27 time: 0.216 data_time: 0.024 memory: 5150 grad_norm: 5.4763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5675 loss: 1.5675 2022/06/28 12:58:14 - mmengine - INFO - Epoch(train) [52][2160/3757] lr: 1.000e-03 eta: 13:25:22 time: 0.217 data_time: 0.009 memory: 5150 grad_norm: 7.3498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5198 loss: 1.5198 2022/06/28 12:58:19 - mmengine - INFO - Epoch(train) [52][2180/3757] lr: 1.000e-03 eta: 13:25:17 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 5.5882 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0928 loss: 1.0928 2022/06/28 12:58:25 - mmengine - INFO - Epoch(train) [52][2200/3757] lr: 1.000e-03 eta: 13:25:12 time: 0.196 data_time: 0.025 memory: 5150 grad_norm: 6.3592 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0877 loss: 1.0877 2022/06/28 12:58:30 - mmengine - INFO - Epoch(train) [52][2220/3757] lr: 1.000e-03 eta: 13:25:06 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.0360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3409 loss: 1.3409 2022/06/28 12:58:35 - mmengine - INFO - Epoch(train) [52][2240/3757] lr: 1.000e-03 eta: 13:25:01 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.3545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6051 loss: 1.6051 2022/06/28 12:58:40 - mmengine - INFO - Epoch(train) [52][2260/3757] lr: 1.000e-03 eta: 13:24:55 time: 0.195 data_time: 0.018 memory: 5150 grad_norm: 6.6147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5396 loss: 1.5396 2022/06/28 12:58:46 - mmengine - INFO - Epoch(train) [52][2280/3757] lr: 1.000e-03 eta: 13:24:50 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.2262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4188 loss: 1.4188 2022/06/28 12:58:51 - mmengine - INFO - Epoch(train) [52][2300/3757] lr: 1.000e-03 eta: 13:24:45 time: 0.222 data_time: 0.012 memory: 5150 grad_norm: 7.8019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6069 loss: 1.6069 2022/06/28 12:58:57 - mmengine - INFO - Epoch(train) [52][2320/3757] lr: 1.000e-03 eta: 13:24:40 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.7523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6989 loss: 1.6989 2022/06/28 12:59:03 - mmengine - INFO - Epoch(train) [52][2340/3757] lr: 1.000e-03 eta: 13:24:35 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 5.7673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/06/28 12:59:07 - mmengine - INFO - Epoch(train) [52][2360/3757] lr: 1.000e-03 eta: 13:24:29 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 7.0382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7543 loss: 1.7543 2022/06/28 12:59:13 - mmengine - INFO - Epoch(train) [52][2380/3757] lr: 1.000e-03 eta: 13:24:24 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.3683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4257 loss: 1.4257 2022/06/28 12:59:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 12:59:18 - mmengine - INFO - Epoch(train) [52][2400/3757] lr: 1.000e-03 eta: 13:24:18 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.3133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5258 loss: 1.5258 2022/06/28 12:59:23 - mmengine - INFO - Epoch(train) [52][2420/3757] lr: 1.000e-03 eta: 13:24:13 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.3062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8143 loss: 1.8143 2022/06/28 12:59:28 - mmengine - INFO - Epoch(train) [52][2440/3757] lr: 1.000e-03 eta: 13:24:07 time: 0.239 data_time: 0.011 memory: 5150 grad_norm: 8.2522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5700 loss: 1.5700 2022/06/28 12:59:34 - mmengine - INFO - Epoch(train) [52][2460/3757] lr: 1.000e-03 eta: 13:24:03 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 5.9406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6461 loss: 1.6461 2022/06/28 12:59:40 - mmengine - INFO - Epoch(train) [52][2480/3757] lr: 1.000e-03 eta: 13:23:58 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 7.8149 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5576 loss: 1.5576 2022/06/28 12:59:44 - mmengine - INFO - Epoch(train) [52][2500/3757] lr: 1.000e-03 eta: 13:23:52 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.8517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/06/28 12:59:50 - mmengine - INFO - Epoch(train) [52][2520/3757] lr: 1.000e-03 eta: 13:23:47 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 7.5852 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7374 loss: 1.7374 2022/06/28 12:59:55 - mmengine - INFO - Epoch(train) [52][2540/3757] lr: 1.000e-03 eta: 13:23:41 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 7.0385 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6950 loss: 1.6950 2022/06/28 13:00:01 - mmengine - INFO - Epoch(train) [52][2560/3757] lr: 1.000e-03 eta: 13:23:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.3061 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2183 loss: 1.2183 2022/06/28 13:00:07 - mmengine - INFO - Epoch(train) [52][2580/3757] lr: 1.000e-03 eta: 13:23:31 time: 0.215 data_time: 0.036 memory: 5150 grad_norm: 6.8391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4051 loss: 1.4051 2022/06/28 13:00:11 - mmengine - INFO - Epoch(train) [52][2600/3757] lr: 1.000e-03 eta: 13:23:25 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 5.4300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1595 loss: 1.1595 2022/06/28 13:00:16 - mmengine - INFO - Epoch(train) [52][2620/3757] lr: 1.000e-03 eta: 13:23:20 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0504 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/06/28 13:00:22 - mmengine - INFO - Epoch(train) [52][2640/3757] lr: 1.000e-03 eta: 13:23:15 time: 0.413 data_time: 0.012 memory: 5150 grad_norm: 5.6966 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4162 loss: 1.4162 2022/06/28 13:00:28 - mmengine - INFO - Epoch(train) [52][2660/3757] lr: 1.000e-03 eta: 13:23:10 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.9621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3204 loss: 1.3204 2022/06/28 13:00:33 - mmengine - INFO - Epoch(train) [52][2680/3757] lr: 1.000e-03 eta: 13:23:04 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.2510 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2274 loss: 1.2274 2022/06/28 13:00:39 - mmengine - INFO - Epoch(train) [52][2700/3757] lr: 1.000e-03 eta: 13:22:59 time: 0.263 data_time: 0.050 memory: 5150 grad_norm: 7.3761 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/06/28 13:00:43 - mmengine - INFO - Epoch(train) [52][2720/3757] lr: 1.000e-03 eta: 13:22:53 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 7.1479 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7248 loss: 1.7248 2022/06/28 13:00:49 - mmengine - INFO - Epoch(train) [52][2740/3757] lr: 1.000e-03 eta: 13:22:48 time: 0.239 data_time: 0.011 memory: 5150 grad_norm: 5.6049 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/06/28 13:00:54 - mmengine - INFO - Epoch(train) [52][2760/3757] lr: 1.000e-03 eta: 13:22:43 time: 0.660 data_time: 0.007 memory: 5150 grad_norm: 8.0244 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6321 loss: 1.6321 2022/06/28 13:00:59 - mmengine - INFO - Epoch(train) [52][2780/3757] lr: 1.000e-03 eta: 13:22:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.3758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0929 loss: 1.0929 2022/06/28 13:01:05 - mmengine - INFO - Epoch(train) [52][2800/3757] lr: 1.000e-03 eta: 13:22:32 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.5615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0364 loss: 1.0364 2022/06/28 13:01:10 - mmengine - INFO - Epoch(train) [52][2820/3757] lr: 1.000e-03 eta: 13:22:27 time: 0.654 data_time: 0.010 memory: 5150 grad_norm: 6.4894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1301 loss: 1.1301 2022/06/28 13:01:15 - mmengine - INFO - Epoch(train) [52][2840/3757] lr: 1.000e-03 eta: 13:22:22 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.7163 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/06/28 13:01:21 - mmengine - INFO - Epoch(train) [52][2860/3757] lr: 1.000e-03 eta: 13:22:17 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.2072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6198 loss: 1.6198 2022/06/28 13:01:26 - mmengine - INFO - Epoch(train) [52][2880/3757] lr: 1.000e-03 eta: 13:22:11 time: 0.581 data_time: 0.011 memory: 5150 grad_norm: 5.9533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5650 loss: 1.5650 2022/06/28 13:01:31 - mmengine - INFO - Epoch(train) [52][2900/3757] lr: 1.000e-03 eta: 13:22:06 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.7136 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0066 loss: 2.0066 2022/06/28 13:01:36 - mmengine - INFO - Epoch(train) [52][2920/3757] lr: 1.000e-03 eta: 13:22:00 time: 0.447 data_time: 0.008 memory: 5150 grad_norm: 7.7415 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4756 loss: 1.4756 2022/06/28 13:01:42 - mmengine - INFO - Epoch(train) [52][2940/3757] lr: 1.000e-03 eta: 13:21:55 time: 0.208 data_time: 0.025 memory: 5150 grad_norm: 7.9192 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/06/28 13:01:47 - mmengine - INFO - Epoch(train) [52][2960/3757] lr: 1.000e-03 eta: 13:21:49 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.2083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5669 loss: 1.5669 2022/06/28 13:01:52 - mmengine - INFO - Epoch(train) [52][2980/3757] lr: 1.000e-03 eta: 13:21:44 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1120 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4003 loss: 1.4003 2022/06/28 13:01:58 - mmengine - INFO - Epoch(train) [52][3000/3757] lr: 1.000e-03 eta: 13:21:39 time: 0.675 data_time: 0.009 memory: 5150 grad_norm: 5.7470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3888 loss: 1.3888 2022/06/28 13:02:03 - mmengine - INFO - Epoch(train) [52][3020/3757] lr: 1.000e-03 eta: 13:21:33 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 6.2878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5009 loss: 1.5009 2022/06/28 13:02:08 - mmengine - INFO - Epoch(train) [52][3040/3757] lr: 1.000e-03 eta: 13:21:28 time: 0.318 data_time: 0.007 memory: 5150 grad_norm: 6.3049 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9094 loss: 1.9094 2022/06/28 13:02:13 - mmengine - INFO - Epoch(train) [52][3060/3757] lr: 1.000e-03 eta: 13:21:23 time: 0.215 data_time: 0.018 memory: 5150 grad_norm: 7.7980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2080 loss: 1.2080 2022/06/28 13:02:19 - mmengine - INFO - Epoch(train) [52][3080/3757] lr: 1.000e-03 eta: 13:21:17 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.4152 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4210 loss: 1.4210 2022/06/28 13:02:24 - mmengine - INFO - Epoch(train) [52][3100/3757] lr: 1.000e-03 eta: 13:21:12 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.7292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8315 loss: 1.8315 2022/06/28 13:02:30 - mmengine - INFO - Epoch(train) [52][3120/3757] lr: 1.000e-03 eta: 13:21:07 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.1933 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0505 loss: 2.0505 2022/06/28 13:02:35 - mmengine - INFO - Epoch(train) [52][3140/3757] lr: 1.000e-03 eta: 13:21:02 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 6.7334 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4584 loss: 1.4584 2022/06/28 13:02:40 - mmengine - INFO - Epoch(train) [52][3160/3757] lr: 1.000e-03 eta: 13:20:57 time: 0.289 data_time: 0.007 memory: 5150 grad_norm: 6.5478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5499 loss: 1.5499 2022/06/28 13:02:46 - mmengine - INFO - Epoch(train) [52][3180/3757] lr: 1.000e-03 eta: 13:20:51 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 7.0334 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3288 loss: 1.3288 2022/06/28 13:02:51 - mmengine - INFO - Epoch(train) [52][3200/3757] lr: 1.000e-03 eta: 13:20:46 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 6.7135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5240 loss: 1.5240 2022/06/28 13:02:56 - mmengine - INFO - Epoch(train) [52][3220/3757] lr: 1.000e-03 eta: 13:20:41 time: 0.268 data_time: 0.008 memory: 5150 grad_norm: 8.4923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4470 loss: 1.4470 2022/06/28 13:03:02 - mmengine - INFO - Epoch(train) [52][3240/3757] lr: 1.000e-03 eta: 13:20:35 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 6.2536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6668 loss: 1.6668 2022/06/28 13:03:07 - mmengine - INFO - Epoch(train) [52][3260/3757] lr: 1.000e-03 eta: 13:20:30 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 7.5212 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6280 loss: 1.6280 2022/06/28 13:03:13 - mmengine - INFO - Epoch(train) [52][3280/3757] lr: 1.000e-03 eta: 13:20:25 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.5403 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5065 loss: 1.5065 2022/06/28 13:03:18 - mmengine - INFO - Epoch(train) [52][3300/3757] lr: 1.000e-03 eta: 13:20:19 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 6.2267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5033 loss: 1.5033 2022/06/28 13:03:24 - mmengine - INFO - Epoch(train) [52][3320/3757] lr: 1.000e-03 eta: 13:20:15 time: 0.237 data_time: 0.015 memory: 5150 grad_norm: 6.9114 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4036 loss: 1.4036 2022/06/28 13:03:29 - mmengine - INFO - Epoch(train) [52][3340/3757] lr: 1.000e-03 eta: 13:20:10 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.6305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4568 loss: 1.4568 2022/06/28 13:03:34 - mmengine - INFO - Epoch(train) [52][3360/3757] lr: 1.000e-03 eta: 13:20:04 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.1263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6379 loss: 1.6379 2022/06/28 13:03:40 - mmengine - INFO - Epoch(train) [52][3380/3757] lr: 1.000e-03 eta: 13:19:59 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 6.8296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4316 loss: 1.4316 2022/06/28 13:03:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:03:45 - mmengine - INFO - Epoch(train) [52][3400/3757] lr: 1.000e-03 eta: 13:19:54 time: 0.237 data_time: 0.017 memory: 5150 grad_norm: 7.0388 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6185 loss: 1.6185 2022/06/28 13:03:51 - mmengine - INFO - Epoch(train) [52][3420/3757] lr: 1.000e-03 eta: 13:19:48 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.4673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3700 loss: 1.3700 2022/06/28 13:03:56 - mmengine - INFO - Epoch(train) [52][3440/3757] lr: 1.000e-03 eta: 13:19:43 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.5909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5190 loss: 1.5190 2022/06/28 13:04:02 - mmengine - INFO - Epoch(train) [52][3460/3757] lr: 1.000e-03 eta: 13:19:38 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 7.4193 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.5718 loss: 1.5718 2022/06/28 13:04:07 - mmengine - INFO - Epoch(train) [52][3480/3757] lr: 1.000e-03 eta: 13:19:32 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 6.2589 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8131 loss: 1.8131 2022/06/28 13:04:11 - mmengine - INFO - Epoch(train) [52][3500/3757] lr: 1.000e-03 eta: 13:19:27 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.1382 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/06/28 13:04:17 - mmengine - INFO - Epoch(train) [52][3520/3757] lr: 1.000e-03 eta: 13:19:22 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 7.8975 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/06/28 13:04:22 - mmengine - INFO - Epoch(train) [52][3540/3757] lr: 1.000e-03 eta: 13:19:16 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 6.6588 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4324 loss: 1.4324 2022/06/28 13:04:27 - mmengine - INFO - Epoch(train) [52][3560/3757] lr: 1.000e-03 eta: 13:19:11 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 6.5605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9110 loss: 0.9110 2022/06/28 13:04:33 - mmengine - INFO - Epoch(train) [52][3580/3757] lr: 1.000e-03 eta: 13:19:06 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.4836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8786 loss: 1.8786 2022/06/28 13:04:38 - mmengine - INFO - Epoch(train) [52][3600/3757] lr: 1.000e-03 eta: 13:19:00 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 6.3179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3923 loss: 1.3923 2022/06/28 13:04:43 - mmengine - INFO - Epoch(train) [52][3620/3757] lr: 1.000e-03 eta: 13:18:55 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 7.1739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4488 loss: 1.4488 2022/06/28 13:04:49 - mmengine - INFO - Epoch(train) [52][3640/3757] lr: 1.000e-03 eta: 13:18:50 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.8357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2491 loss: 1.2491 2022/06/28 13:04:54 - mmengine - INFO - Epoch(train) [52][3660/3757] lr: 1.000e-03 eta: 13:18:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7524 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6603 loss: 1.6603 2022/06/28 13:04:59 - mmengine - INFO - Epoch(train) [52][3680/3757] lr: 1.000e-03 eta: 13:18:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.1710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/06/28 13:05:05 - mmengine - INFO - Epoch(train) [52][3700/3757] lr: 1.000e-03 eta: 13:18:33 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.3717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/06/28 13:05:10 - mmengine - INFO - Epoch(train) [52][3720/3757] lr: 1.000e-03 eta: 13:18:28 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 7.5517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/06/28 13:05:15 - mmengine - INFO - Epoch(train) [52][3740/3757] lr: 1.000e-03 eta: 13:18:22 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.6240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6407 loss: 1.6407 2022/06/28 13:05:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:05:51 - mmengine - INFO - Epoch(val) [52][20/310] eta: 0:05:53 time: 1.127 data_time: 0.473 memory: 9746 2022/06/28 13:06:13 - mmengine - INFO - Epoch(val) [52][40/310] eta: 0:05:01 time: 1.217 data_time: 0.556 memory: 9746 2022/06/28 13:06:37 - mmengine - INFO - Epoch(val) [52][60/310] eta: 0:04:17 time: 1.181 data_time: 0.546 memory: 9746 2022/06/28 13:07:01 - mmengine - INFO - Epoch(val) [52][80/310] eta: 0:05:08 time: 1.061 data_time: 0.389 memory: 9746 2022/06/28 13:07:25 - mmengine - INFO - Epoch(val) [52][100/310] eta: 0:04:15 time: 2.727 data_time: 2.040 memory: 9746 2022/06/28 13:07:46 - mmengine - INFO - Epoch(val) [52][120/310] eta: 0:03:20 time: 1.055 data_time: 0.411 memory: 9746 2022/06/28 13:08:11 - mmengine - INFO - Epoch(val) [52][140/310] eta: 0:03:35 time: 1.045 data_time: 0.411 memory: 9746 2022/06/28 13:08:35 - mmengine - INFO - Epoch(val) [52][160/310] eta: 0:03:11 time: 2.767 data_time: 2.109 memory: 9746 2022/06/28 13:08:58 - mmengine - INFO - Epoch(val) [52][180/310] eta: 0:02:53 time: 1.007 data_time: 0.365 memory: 9746 2022/06/28 13:09:21 - mmengine - INFO - Epoch(val) [52][200/310] eta: 0:02:16 time: 1.118 data_time: 0.480 memory: 9746 2022/06/28 13:09:43 - mmengine - INFO - Epoch(val) [52][220/310] eta: 0:01:37 time: 1.249 data_time: 0.605 memory: 9746 2022/06/28 13:10:04 - mmengine - INFO - Epoch(val) [52][240/310] eta: 0:01:16 time: 1.032 data_time: 0.395 memory: 9746 2022/06/28 13:10:29 - mmengine - INFO - Epoch(val) [52][260/310] eta: 0:01:00 time: 1.067 data_time: 0.411 memory: 9746 2022/06/28 13:10:52 - mmengine - INFO - Epoch(val) [52][280/310] eta: 0:00:34 time: 2.115 data_time: 1.476 memory: 9746 2022/06/28 13:11:10 - mmengine - INFO - Epoch(val) [52][300/310] eta: 0:00:07 time: 0.620 data_time: 0.058 memory: 9746 2022/06/28 13:11:22 - mmengine - INFO - Epoch(val) [52][310/310] acc/top1: 0.7005 acc/top5: 0.8951 acc/mean1: 0.7004 2022/06/28 13:11:31 - mmengine - INFO - Epoch(train) [53][20/3757] lr: 1.000e-03 eta: 13:18:13 time: 0.199 data_time: 0.007 memory: 9746 grad_norm: 8.2210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3441 loss: 1.3441 2022/06/28 13:11:36 - mmengine - INFO - Epoch(train) [53][40/3757] lr: 1.000e-03 eta: 13:18:08 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.9077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/06/28 13:11:41 - mmengine - INFO - Epoch(train) [53][60/3757] lr: 1.000e-03 eta: 13:18:02 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 5.8991 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/06/28 13:11:47 - mmengine - INFO - Epoch(train) [53][80/3757] lr: 1.000e-03 eta: 13:17:58 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1337 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3957 loss: 1.3957 2022/06/28 13:11:53 - mmengine - INFO - Epoch(train) [53][100/3757] lr: 1.000e-03 eta: 13:17:53 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.2566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1162 loss: 1.1162 2022/06/28 13:11:58 - mmengine - INFO - Epoch(train) [53][120/3757] lr: 1.000e-03 eta: 13:17:47 time: 0.230 data_time: 0.012 memory: 5150 grad_norm: 6.5680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2881 loss: 1.2881 2022/06/28 13:12:03 - mmengine - INFO - Epoch(train) [53][140/3757] lr: 1.000e-03 eta: 13:17:42 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.0613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6168 loss: 1.6168 2022/06/28 13:12:09 - mmengine - INFO - Epoch(train) [53][160/3757] lr: 1.000e-03 eta: 13:17:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.5639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6251 loss: 1.6251 2022/06/28 13:12:14 - mmengine - INFO - Epoch(train) [53][180/3757] lr: 1.000e-03 eta: 13:17:31 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.0816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/06/28 13:12:19 - mmengine - INFO - Epoch(train) [53][200/3757] lr: 1.000e-03 eta: 13:17:26 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 6.8140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2583 loss: 1.2583 2022/06/28 13:12:25 - mmengine - INFO - Epoch(train) [53][220/3757] lr: 1.000e-03 eta: 13:17:21 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.0456 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3999 loss: 1.3999 2022/06/28 13:12:30 - mmengine - INFO - Epoch(train) [53][240/3757] lr: 1.000e-03 eta: 13:17:15 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.3209 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/06/28 13:12:35 - mmengine - INFO - Epoch(train) [53][260/3757] lr: 1.000e-03 eta: 13:17:10 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.6015 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/06/28 13:12:41 - mmengine - INFO - Epoch(train) [53][280/3757] lr: 1.000e-03 eta: 13:17:05 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.7868 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6480 loss: 1.6480 2022/06/28 13:12:46 - mmengine - INFO - Epoch(train) [53][300/3757] lr: 1.000e-03 eta: 13:16:59 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.9102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5300 loss: 1.5300 2022/06/28 13:12:51 - mmengine - INFO - Epoch(train) [53][320/3757] lr: 1.000e-03 eta: 13:16:54 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1502 loss: 1.1502 2022/06/28 13:12:57 - mmengine - INFO - Epoch(train) [53][340/3757] lr: 1.000e-03 eta: 13:16:49 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.5084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4014 loss: 1.4014 2022/06/28 13:13:02 - mmengine - INFO - Epoch(train) [53][360/3757] lr: 1.000e-03 eta: 13:16:44 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 4.6178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0768 loss: 1.0768 2022/06/28 13:13:07 - mmengine - INFO - Epoch(train) [53][380/3757] lr: 1.000e-03 eta: 13:16:38 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 7.5940 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7850 loss: 1.7850 2022/06/28 13:13:13 - mmengine - INFO - Epoch(train) [53][400/3757] lr: 1.000e-03 eta: 13:16:34 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 6.3315 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3843 loss: 1.3843 2022/06/28 13:13:18 - mmengine - INFO - Epoch(train) [53][420/3757] lr: 1.000e-03 eta: 13:16:28 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.4758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/06/28 13:13:24 - mmengine - INFO - Epoch(train) [53][440/3757] lr: 1.000e-03 eta: 13:16:23 time: 0.296 data_time: 0.007 memory: 5150 grad_norm: 7.4277 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/06/28 13:13:30 - mmengine - INFO - Epoch(train) [53][460/3757] lr: 1.000e-03 eta: 13:16:18 time: 0.454 data_time: 0.007 memory: 5150 grad_norm: 7.8622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/06/28 13:13:34 - mmengine - INFO - Epoch(train) [53][480/3757] lr: 1.000e-03 eta: 13:16:12 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 6.4951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5605 loss: 1.5605 2022/06/28 13:13:40 - mmengine - INFO - Epoch(train) [53][500/3757] lr: 1.000e-03 eta: 13:16:07 time: 0.317 data_time: 0.009 memory: 5150 grad_norm: 7.8857 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2104 loss: 1.2104 2022/06/28 13:13:45 - mmengine - INFO - Epoch(train) [53][520/3757] lr: 1.000e-03 eta: 13:16:02 time: 0.392 data_time: 0.011 memory: 5150 grad_norm: 6.9967 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2850 loss: 1.2850 2022/06/28 13:13:50 - mmengine - INFO - Epoch(train) [53][540/3757] lr: 1.000e-03 eta: 13:15:56 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.1691 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5038 loss: 1.5038 2022/06/28 13:13:56 - mmengine - INFO - Epoch(train) [53][560/3757] lr: 1.000e-03 eta: 13:15:51 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 7.7829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4970 loss: 1.4970 2022/06/28 13:14:02 - mmengine - INFO - Epoch(train) [53][580/3757] lr: 1.000e-03 eta: 13:15:46 time: 0.812 data_time: 0.007 memory: 5150 grad_norm: 7.2062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4267 loss: 1.4267 2022/06/28 13:14:07 - mmengine - INFO - Epoch(train) [53][600/3757] lr: 1.000e-03 eta: 13:15:41 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 6.4419 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5986 loss: 1.5986 2022/06/28 13:14:12 - mmengine - INFO - Epoch(train) [53][620/3757] lr: 1.000e-03 eta: 13:15:36 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.5489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4315 loss: 1.4315 2022/06/28 13:14:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:14:17 - mmengine - INFO - Epoch(train) [53][640/3757] lr: 1.000e-03 eta: 13:15:30 time: 0.667 data_time: 0.007 memory: 5150 grad_norm: 6.5791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6494 loss: 1.6494 2022/06/28 13:14:23 - mmengine - INFO - Epoch(train) [53][660/3757] lr: 1.000e-03 eta: 13:15:25 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.9236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6571 loss: 1.6571 2022/06/28 13:14:28 - mmengine - INFO - Epoch(train) [53][680/3757] lr: 1.000e-03 eta: 13:15:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2696 loss: 1.2696 2022/06/28 13:14:33 - mmengine - INFO - Epoch(train) [53][700/3757] lr: 1.000e-03 eta: 13:15:14 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.4575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4205 loss: 1.4205 2022/06/28 13:14:38 - mmengine - INFO - Epoch(train) [53][720/3757] lr: 1.000e-03 eta: 13:15:08 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 6.9618 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/06/28 13:14:44 - mmengine - INFO - Epoch(train) [53][740/3757] lr: 1.000e-03 eta: 13:15:04 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.9557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/06/28 13:14:51 - mmengine - INFO - Epoch(train) [53][760/3757] lr: 1.000e-03 eta: 13:14:59 time: 1.410 data_time: 0.006 memory: 5150 grad_norm: 6.6315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2933 loss: 1.2933 2022/06/28 13:14:55 - mmengine - INFO - Epoch(train) [53][780/3757] lr: 1.000e-03 eta: 13:14:53 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.2418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5877 loss: 1.5877 2022/06/28 13:15:00 - mmengine - INFO - Epoch(train) [53][800/3757] lr: 1.000e-03 eta: 13:14:48 time: 0.194 data_time: 0.022 memory: 5150 grad_norm: 6.6463 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4750 loss: 1.4750 2022/06/28 13:15:06 - mmengine - INFO - Epoch(train) [53][820/3757] lr: 1.000e-03 eta: 13:14:43 time: 0.905 data_time: 0.011 memory: 5150 grad_norm: 6.8861 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3124 loss: 1.3124 2022/06/28 13:15:11 - mmengine - INFO - Epoch(train) [53][840/3757] lr: 1.000e-03 eta: 13:14:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.3494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4289 loss: 1.4289 2022/06/28 13:15:17 - mmengine - INFO - Epoch(train) [53][860/3757] lr: 1.000e-03 eta: 13:14:32 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 7.2686 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8022 loss: 1.8022 2022/06/28 13:15:22 - mmengine - INFO - Epoch(train) [53][880/3757] lr: 1.000e-03 eta: 13:14:27 time: 0.905 data_time: 0.021 memory: 5150 grad_norm: 6.9552 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4158 loss: 1.4158 2022/06/28 13:15:27 - mmengine - INFO - Epoch(train) [53][900/3757] lr: 1.000e-03 eta: 13:14:21 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.6473 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6894 loss: 1.6894 2022/06/28 13:15:32 - mmengine - INFO - Epoch(train) [53][920/3757] lr: 1.000e-03 eta: 13:14:16 time: 0.199 data_time: 0.028 memory: 5150 grad_norm: 7.8404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2427 loss: 1.2427 2022/06/28 13:15:37 - mmengine - INFO - Epoch(train) [53][940/3757] lr: 1.000e-03 eta: 13:14:10 time: 0.395 data_time: 0.015 memory: 5150 grad_norm: 7.3588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4140 loss: 1.4140 2022/06/28 13:15:42 - mmengine - INFO - Epoch(train) [53][960/3757] lr: 1.000e-03 eta: 13:14:04 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.0220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1568 loss: 1.1568 2022/06/28 13:15:48 - mmengine - INFO - Epoch(train) [53][980/3757] lr: 1.000e-03 eta: 13:14:00 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 7.3321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5082 loss: 1.5082 2022/06/28 13:15:53 - mmengine - INFO - Epoch(train) [53][1000/3757] lr: 1.000e-03 eta: 13:13:54 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 7.1486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7083 loss: 1.7083 2022/06/28 13:15:59 - mmengine - INFO - Epoch(train) [53][1020/3757] lr: 1.000e-03 eta: 13:13:49 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.0983 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4366 loss: 1.4366 2022/06/28 13:16:04 - mmengine - INFO - Epoch(train) [53][1040/3757] lr: 1.000e-03 eta: 13:13:44 time: 0.214 data_time: 0.022 memory: 5150 grad_norm: 7.0086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3138 loss: 1.3138 2022/06/28 13:16:09 - mmengine - INFO - Epoch(train) [53][1060/3757] lr: 1.000e-03 eta: 13:13:39 time: 0.439 data_time: 0.008 memory: 5150 grad_norm: 7.7172 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2795 loss: 1.2795 2022/06/28 13:16:15 - mmengine - INFO - Epoch(train) [53][1080/3757] lr: 1.000e-03 eta: 13:13:33 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.6388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2326 loss: 1.2326 2022/06/28 13:16:20 - mmengine - INFO - Epoch(train) [53][1100/3757] lr: 1.000e-03 eta: 13:13:28 time: 0.197 data_time: 0.024 memory: 5150 grad_norm: 6.5342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7682 loss: 1.7682 2022/06/28 13:16:26 - mmengine - INFO - Epoch(train) [53][1120/3757] lr: 1.000e-03 eta: 13:13:23 time: 0.631 data_time: 0.010 memory: 5150 grad_norm: 8.4164 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/06/28 13:16:31 - mmengine - INFO - Epoch(train) [53][1140/3757] lr: 1.000e-03 eta: 13:13:18 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.7481 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6677 loss: 1.6677 2022/06/28 13:16:37 - mmengine - INFO - Epoch(train) [53][1160/3757] lr: 1.000e-03 eta: 13:13:13 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.6435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6391 loss: 1.6391 2022/06/28 13:16:42 - mmengine - INFO - Epoch(train) [53][1180/3757] lr: 1.000e-03 eta: 13:13:08 time: 0.362 data_time: 0.016 memory: 5150 grad_norm: 7.8786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0940 loss: 1.0940 2022/06/28 13:16:47 - mmengine - INFO - Epoch(train) [53][1200/3757] lr: 1.000e-03 eta: 13:13:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.5464 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6944 loss: 1.6944 2022/06/28 13:16:53 - mmengine - INFO - Epoch(train) [53][1220/3757] lr: 1.000e-03 eta: 13:12:57 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.4195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5558 loss: 1.5558 2022/06/28 13:16:59 - mmengine - INFO - Epoch(train) [53][1240/3757] lr: 1.000e-03 eta: 13:12:52 time: 1.279 data_time: 0.008 memory: 5150 grad_norm: 7.7486 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4389 loss: 1.4389 2022/06/28 13:17:04 - mmengine - INFO - Epoch(train) [53][1260/3757] lr: 1.000e-03 eta: 13:12:46 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.4907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3681 loss: 1.3681 2022/06/28 13:17:09 - mmengine - INFO - Epoch(train) [53][1280/3757] lr: 1.000e-03 eta: 13:12:41 time: 0.198 data_time: 0.021 memory: 5150 grad_norm: 8.4944 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6356 loss: 1.6356 2022/06/28 13:17:15 - mmengine - INFO - Epoch(train) [53][1300/3757] lr: 1.000e-03 eta: 13:12:36 time: 0.991 data_time: 0.007 memory: 5150 grad_norm: 7.3062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3729 loss: 1.3729 2022/06/28 13:17:20 - mmengine - INFO - Epoch(train) [53][1320/3757] lr: 1.000e-03 eta: 13:12:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.7273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4792 loss: 1.4792 2022/06/28 13:17:25 - mmengine - INFO - Epoch(train) [53][1340/3757] lr: 1.000e-03 eta: 13:12:25 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 6.9548 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5753 loss: 1.5753 2022/06/28 13:17:31 - mmengine - INFO - Epoch(train) [53][1360/3757] lr: 1.000e-03 eta: 13:12:21 time: 1.818 data_time: 0.016 memory: 5150 grad_norm: 7.3781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2723 loss: 1.2723 2022/06/28 13:17:36 - mmengine - INFO - Epoch(train) [53][1380/3757] lr: 1.000e-03 eta: 13:12:15 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.2290 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3341 loss: 1.3341 2022/06/28 13:17:40 - mmengine - INFO - Epoch(train) [53][1400/3757] lr: 1.000e-03 eta: 13:12:09 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 6.5212 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5797 loss: 1.5797 2022/06/28 13:17:46 - mmengine - INFO - Epoch(train) [53][1420/3757] lr: 1.000e-03 eta: 13:12:04 time: 1.013 data_time: 0.007 memory: 5150 grad_norm: 6.2667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1506 loss: 1.1506 2022/06/28 13:17:51 - mmengine - INFO - Epoch(train) [53][1440/3757] lr: 1.000e-03 eta: 13:11:58 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.3172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6988 loss: 1.6988 2022/06/28 13:17:56 - mmengine - INFO - Epoch(train) [53][1460/3757] lr: 1.000e-03 eta: 13:11:53 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 5.6664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5155 loss: 1.5155 2022/06/28 13:18:02 - mmengine - INFO - Epoch(train) [53][1480/3757] lr: 1.000e-03 eta: 13:11:47 time: 0.820 data_time: 0.008 memory: 5150 grad_norm: 6.3827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5750 loss: 1.5750 2022/06/28 13:18:07 - mmengine - INFO - Epoch(train) [53][1500/3757] lr: 1.000e-03 eta: 13:11:42 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.2875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/06/28 13:18:13 - mmengine - INFO - Epoch(train) [53][1520/3757] lr: 1.000e-03 eta: 13:11:37 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 7.0292 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4013 loss: 1.4013 2022/06/28 13:18:19 - mmengine - INFO - Epoch(train) [53][1540/3757] lr: 1.000e-03 eta: 13:11:32 time: 1.081 data_time: 0.007 memory: 5150 grad_norm: 7.3009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9613 loss: 0.9613 2022/06/28 13:18:23 - mmengine - INFO - Epoch(train) [53][1560/3757] lr: 1.000e-03 eta: 13:11:27 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 6.9337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/06/28 13:18:29 - mmengine - INFO - Epoch(train) [53][1580/3757] lr: 1.000e-03 eta: 13:11:21 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.7194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6849 loss: 1.6849 2022/06/28 13:18:35 - mmengine - INFO - Epoch(train) [53][1600/3757] lr: 1.000e-03 eta: 13:11:16 time: 0.826 data_time: 0.007 memory: 5150 grad_norm: 7.8713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3694 loss: 1.3694 2022/06/28 13:18:39 - mmengine - INFO - Epoch(train) [53][1620/3757] lr: 1.000e-03 eta: 13:11:11 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.5647 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7023 loss: 1.7023 2022/06/28 13:18:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:18:44 - mmengine - INFO - Epoch(train) [53][1640/3757] lr: 1.000e-03 eta: 13:11:05 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.7825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5287 loss: 1.5287 2022/06/28 13:18:49 - mmengine - INFO - Epoch(train) [53][1660/3757] lr: 1.000e-03 eta: 13:10:59 time: 0.370 data_time: 0.008 memory: 5150 grad_norm: 7.9156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7469 loss: 1.7469 2022/06/28 13:18:54 - mmengine - INFO - Epoch(train) [53][1680/3757] lr: 1.000e-03 eta: 13:10:54 time: 0.557 data_time: 0.007 memory: 5150 grad_norm: 7.2694 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3852 loss: 1.3852 2022/06/28 13:19:00 - mmengine - INFO - Epoch(train) [53][1700/3757] lr: 1.000e-03 eta: 13:10:49 time: 0.257 data_time: 0.010 memory: 5150 grad_norm: 6.1743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2610 loss: 1.2610 2022/06/28 13:19:05 - mmengine - INFO - Epoch(train) [53][1720/3757] lr: 1.000e-03 eta: 13:10:44 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.7832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4993 loss: 1.4993 2022/06/28 13:19:11 - mmengine - INFO - Epoch(train) [53][1740/3757] lr: 1.000e-03 eta: 13:10:38 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 6.8548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7021 loss: 1.7021 2022/06/28 13:19:16 - mmengine - INFO - Epoch(train) [53][1760/3757] lr: 1.000e-03 eta: 13:10:33 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.4139 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1478 loss: 1.1478 2022/06/28 13:19:22 - mmengine - INFO - Epoch(train) [53][1780/3757] lr: 1.000e-03 eta: 13:10:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.1157 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5421 loss: 1.5421 2022/06/28 13:19:27 - mmengine - INFO - Epoch(train) [53][1800/3757] lr: 1.000e-03 eta: 13:10:22 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.6553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2496 loss: 1.2496 2022/06/28 13:19:33 - mmengine - INFO - Epoch(train) [53][1820/3757] lr: 1.000e-03 eta: 13:10:18 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.8779 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6841 loss: 1.6841 2022/06/28 13:19:38 - mmengine - INFO - Epoch(train) [53][1840/3757] lr: 1.000e-03 eta: 13:10:12 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 7.1883 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5045 loss: 1.5045 2022/06/28 13:19:43 - mmengine - INFO - Epoch(train) [53][1860/3757] lr: 1.000e-03 eta: 13:10:06 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 6.9323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1814 loss: 1.1814 2022/06/28 13:19:49 - mmengine - INFO - Epoch(train) [53][1880/3757] lr: 1.000e-03 eta: 13:10:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.1973 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0346 loss: 1.0346 2022/06/28 13:19:54 - mmengine - INFO - Epoch(train) [53][1900/3757] lr: 1.000e-03 eta: 13:09:56 time: 0.205 data_time: 0.023 memory: 5150 grad_norm: 7.3997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4316 loss: 1.4316 2022/06/28 13:19:59 - mmengine - INFO - Epoch(train) [53][1920/3757] lr: 1.000e-03 eta: 13:09:51 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.3765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3931 loss: 1.3931 2022/06/28 13:20:05 - mmengine - INFO - Epoch(train) [53][1940/3757] lr: 1.000e-03 eta: 13:09:46 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.9026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/06/28 13:20:10 - mmengine - INFO - Epoch(train) [53][1960/3757] lr: 1.000e-03 eta: 13:09:41 time: 0.317 data_time: 0.030 memory: 5150 grad_norm: 7.2118 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3866 loss: 1.3866 2022/06/28 13:20:16 - mmengine - INFO - Epoch(train) [53][1980/3757] lr: 1.000e-03 eta: 13:09:35 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.5723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6267 loss: 1.6267 2022/06/28 13:20:21 - mmengine - INFO - Epoch(train) [53][2000/3757] lr: 1.000e-03 eta: 13:09:30 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.1446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5194 loss: 1.5194 2022/06/28 13:20:26 - mmengine - INFO - Epoch(train) [53][2020/3757] lr: 1.000e-03 eta: 13:09:24 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 7.2745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/06/28 13:20:32 - mmengine - INFO - Epoch(train) [53][2040/3757] lr: 1.000e-03 eta: 13:09:19 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 5.8583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3300 loss: 1.3300 2022/06/28 13:20:37 - mmengine - INFO - Epoch(train) [53][2060/3757] lr: 1.000e-03 eta: 13:09:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.0686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/06/28 13:20:42 - mmengine - INFO - Epoch(train) [53][2080/3757] lr: 1.000e-03 eta: 13:09:09 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 6.6286 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9668 loss: 1.9668 2022/06/28 13:20:47 - mmengine - INFO - Epoch(train) [53][2100/3757] lr: 1.000e-03 eta: 13:09:03 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.0133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/06/28 13:20:53 - mmengine - INFO - Epoch(train) [53][2120/3757] lr: 1.000e-03 eta: 13:08:58 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 6.7099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2821 loss: 1.2821 2022/06/28 13:20:58 - mmengine - INFO - Epoch(train) [53][2140/3757] lr: 1.000e-03 eta: 13:08:52 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 7.2679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3239 loss: 1.3239 2022/06/28 13:21:03 - mmengine - INFO - Epoch(train) [53][2160/3757] lr: 1.000e-03 eta: 13:08:47 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 6.1203 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5350 loss: 1.5350 2022/06/28 13:21:08 - mmengine - INFO - Epoch(train) [53][2180/3757] lr: 1.000e-03 eta: 13:08:42 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.7686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9661 loss: 0.9661 2022/06/28 13:21:14 - mmengine - INFO - Epoch(train) [53][2200/3757] lr: 1.000e-03 eta: 13:08:37 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.7992 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6273 loss: 1.6273 2022/06/28 13:21:19 - mmengine - INFO - Epoch(train) [53][2220/3757] lr: 1.000e-03 eta: 13:08:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.5659 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4475 loss: 1.4475 2022/06/28 13:21:24 - mmengine - INFO - Epoch(train) [53][2240/3757] lr: 1.000e-03 eta: 13:08:26 time: 0.218 data_time: 0.012 memory: 5150 grad_norm: 7.1643 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2277 loss: 1.2277 2022/06/28 13:21:30 - mmengine - INFO - Epoch(train) [53][2260/3757] lr: 1.000e-03 eta: 13:08:21 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.3533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1230 loss: 1.1230 2022/06/28 13:21:35 - mmengine - INFO - Epoch(train) [53][2280/3757] lr: 1.000e-03 eta: 13:08:16 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 7.0637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2740 loss: 1.2740 2022/06/28 13:21:40 - mmengine - INFO - Epoch(train) [53][2300/3757] lr: 1.000e-03 eta: 13:08:10 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 7.5242 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4365 loss: 1.4365 2022/06/28 13:21:46 - mmengine - INFO - Epoch(train) [53][2320/3757] lr: 1.000e-03 eta: 13:08:05 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 6.9287 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1329 loss: 1.1329 2022/06/28 13:21:51 - mmengine - INFO - Epoch(train) [53][2340/3757] lr: 1.000e-03 eta: 13:08:00 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.8059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/06/28 13:21:56 - mmengine - INFO - Epoch(train) [53][2360/3757] lr: 1.000e-03 eta: 13:07:54 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.8294 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6824 loss: 1.6824 2022/06/28 13:22:02 - mmengine - INFO - Epoch(train) [53][2380/3757] lr: 1.000e-03 eta: 13:07:49 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.7903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9265 loss: 0.9265 2022/06/28 13:22:07 - mmengine - INFO - Epoch(train) [53][2400/3757] lr: 1.000e-03 eta: 13:07:44 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8348 loss: 1.8348 2022/06/28 13:22:13 - mmengine - INFO - Epoch(train) [53][2420/3757] lr: 1.000e-03 eta: 13:07:38 time: 0.522 data_time: 0.008 memory: 5150 grad_norm: 5.7898 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4049 loss: 1.4049 2022/06/28 13:22:18 - mmengine - INFO - Epoch(train) [53][2440/3757] lr: 1.000e-03 eta: 13:07:33 time: 0.395 data_time: 0.007 memory: 5150 grad_norm: 6.4956 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4669 loss: 1.4669 2022/06/28 13:22:23 - mmengine - INFO - Epoch(train) [53][2460/3757] lr: 1.000e-03 eta: 13:07:28 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.8644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6623 loss: 1.6623 2022/06/28 13:22:29 - mmengine - INFO - Epoch(train) [53][2480/3757] lr: 1.000e-03 eta: 13:07:23 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.2160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8804 loss: 1.8804 2022/06/28 13:22:34 - mmengine - INFO - Epoch(train) [53][2500/3757] lr: 1.000e-03 eta: 13:07:17 time: 0.616 data_time: 0.010 memory: 5150 grad_norm: 7.5926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4643 loss: 1.4643 2022/06/28 13:22:39 - mmengine - INFO - Epoch(train) [53][2520/3757] lr: 1.000e-03 eta: 13:07:12 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.2703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/06/28 13:22:45 - mmengine - INFO - Epoch(train) [53][2540/3757] lr: 1.000e-03 eta: 13:07:07 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.5371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5850 loss: 1.5850 2022/06/28 13:22:51 - mmengine - INFO - Epoch(train) [53][2560/3757] lr: 1.000e-03 eta: 13:07:02 time: 1.432 data_time: 0.012 memory: 5150 grad_norm: 6.2491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4211 loss: 1.4211 2022/06/28 13:22:55 - mmengine - INFO - Epoch(train) [53][2580/3757] lr: 1.000e-03 eta: 13:06:56 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.5207 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9594 loss: 1.9594 2022/06/28 13:23:01 - mmengine - INFO - Epoch(train) [53][2600/3757] lr: 1.000e-03 eta: 13:06:51 time: 0.643 data_time: 0.012 memory: 5150 grad_norm: 6.8829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3829 loss: 1.3829 2022/06/28 13:23:06 - mmengine - INFO - Epoch(train) [53][2620/3757] lr: 1.000e-03 eta: 13:06:45 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.8775 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/06/28 13:23:11 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:23:12 - mmengine - INFO - Epoch(train) [53][2640/3757] lr: 1.000e-03 eta: 13:06:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.9080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0996 loss: 1.0996 2022/06/28 13:23:17 - mmengine - INFO - Epoch(train) [53][2660/3757] lr: 1.000e-03 eta: 13:06:35 time: 0.312 data_time: 0.007 memory: 5150 grad_norm: 7.0893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5232 loss: 1.5232 2022/06/28 13:23:22 - mmengine - INFO - Epoch(train) [53][2680/3757] lr: 1.000e-03 eta: 13:06:30 time: 0.346 data_time: 0.007 memory: 5150 grad_norm: 7.0173 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2004 loss: 1.2004 2022/06/28 13:23:28 - mmengine - INFO - Epoch(train) [53][2700/3757] lr: 1.000e-03 eta: 13:06:24 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.1913 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3443 loss: 1.3443 2022/06/28 13:23:33 - mmengine - INFO - Epoch(train) [53][2720/3757] lr: 1.000e-03 eta: 13:06:19 time: 0.561 data_time: 0.008 memory: 5150 grad_norm: 6.5826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2828 loss: 1.2828 2022/06/28 13:23:38 - mmengine - INFO - Epoch(train) [53][2740/3757] lr: 1.000e-03 eta: 13:06:14 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.4095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2491 loss: 1.2491 2022/06/28 13:23:44 - mmengine - INFO - Epoch(train) [53][2760/3757] lr: 1.000e-03 eta: 13:06:09 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.8229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/06/28 13:23:49 - mmengine - INFO - Epoch(train) [53][2780/3757] lr: 1.000e-03 eta: 13:06:03 time: 0.617 data_time: 0.007 memory: 5150 grad_norm: 7.3593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3779 loss: 1.3779 2022/06/28 13:23:54 - mmengine - INFO - Epoch(train) [53][2800/3757] lr: 1.000e-03 eta: 13:05:58 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 7.0822 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5381 loss: 1.5381 2022/06/28 13:23:59 - mmengine - INFO - Epoch(train) [53][2820/3757] lr: 1.000e-03 eta: 13:05:52 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.7831 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4469 loss: 1.4469 2022/06/28 13:24:05 - mmengine - INFO - Epoch(train) [53][2840/3757] lr: 1.000e-03 eta: 13:05:47 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.1702 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6148 loss: 1.6148 2022/06/28 13:24:10 - mmengine - INFO - Epoch(train) [53][2860/3757] lr: 1.000e-03 eta: 13:05:42 time: 0.261 data_time: 0.010 memory: 5150 grad_norm: 7.0820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5280 loss: 1.5280 2022/06/28 13:24:15 - mmengine - INFO - Epoch(train) [53][2880/3757] lr: 1.000e-03 eta: 13:05:36 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.9408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/06/28 13:24:22 - mmengine - INFO - Epoch(train) [53][2900/3757] lr: 1.000e-03 eta: 13:05:32 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.3918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/06/28 13:24:27 - mmengine - INFO - Epoch(train) [53][2920/3757] lr: 1.000e-03 eta: 13:05:26 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 7.3888 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1721 loss: 1.1721 2022/06/28 13:24:31 - mmengine - INFO - Epoch(train) [53][2940/3757] lr: 1.000e-03 eta: 13:05:21 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.8046 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4224 loss: 1.4224 2022/06/28 13:24:37 - mmengine - INFO - Epoch(train) [53][2960/3757] lr: 1.000e-03 eta: 13:05:15 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 7.6462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6672 loss: 1.6672 2022/06/28 13:24:42 - mmengine - INFO - Epoch(train) [53][2980/3757] lr: 1.000e-03 eta: 13:05:10 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.0869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4379 loss: 1.4379 2022/06/28 13:24:47 - mmengine - INFO - Epoch(train) [53][3000/3757] lr: 1.000e-03 eta: 13:05:04 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.2765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5195 loss: 1.5195 2022/06/28 13:24:53 - mmengine - INFO - Epoch(train) [53][3020/3757] lr: 1.000e-03 eta: 13:05:00 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.9962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/06/28 13:24:58 - mmengine - INFO - Epoch(train) [53][3040/3757] lr: 1.000e-03 eta: 13:04:54 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 6.3484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/06/28 13:25:03 - mmengine - INFO - Epoch(train) [53][3060/3757] lr: 1.000e-03 eta: 13:04:48 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.9639 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7659 loss: 1.7659 2022/06/28 13:25:09 - mmengine - INFO - Epoch(train) [53][3080/3757] lr: 1.000e-03 eta: 13:04:43 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.7886 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4583 loss: 1.4583 2022/06/28 13:25:15 - mmengine - INFO - Epoch(train) [53][3100/3757] lr: 1.000e-03 eta: 13:04:39 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 6.3472 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3870 loss: 1.3870 2022/06/28 13:25:20 - mmengine - INFO - Epoch(train) [53][3120/3757] lr: 1.000e-03 eta: 13:04:33 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.9564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0141 loss: 1.0141 2022/06/28 13:25:25 - mmengine - INFO - Epoch(train) [53][3140/3757] lr: 1.000e-03 eta: 13:04:28 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.5968 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0403 loss: 2.0403 2022/06/28 13:25:31 - mmengine - INFO - Epoch(train) [53][3160/3757] lr: 1.000e-03 eta: 13:04:23 time: 0.238 data_time: 0.058 memory: 5150 grad_norm: 6.2276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0054 loss: 1.0054 2022/06/28 13:25:35 - mmengine - INFO - Epoch(train) [53][3180/3757] lr: 1.000e-03 eta: 13:04:17 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.2369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2169 loss: 1.2169 2022/06/28 13:25:41 - mmengine - INFO - Epoch(train) [53][3200/3757] lr: 1.000e-03 eta: 13:04:12 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.8139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/28 13:25:47 - mmengine - INFO - Epoch(train) [53][3220/3757] lr: 1.000e-03 eta: 13:04:07 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.8713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/06/28 13:25:52 - mmengine - INFO - Epoch(train) [53][3240/3757] lr: 1.000e-03 eta: 13:04:01 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.7425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3454 loss: 1.3454 2022/06/28 13:25:58 - mmengine - INFO - Epoch(train) [53][3260/3757] lr: 1.000e-03 eta: 13:03:56 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 8.9312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3344 loss: 1.3344 2022/06/28 13:26:03 - mmengine - INFO - Epoch(train) [53][3280/3757] lr: 1.000e-03 eta: 13:03:51 time: 0.227 data_time: 0.024 memory: 5150 grad_norm: 5.3739 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1813 loss: 1.1813 2022/06/28 13:26:08 - mmengine - INFO - Epoch(train) [53][3300/3757] lr: 1.000e-03 eta: 13:03:45 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.0692 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/06/28 13:26:13 - mmengine - INFO - Epoch(train) [53][3320/3757] lr: 1.000e-03 eta: 13:03:40 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 7.8607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5212 loss: 1.5212 2022/06/28 13:26:19 - mmengine - INFO - Epoch(train) [53][3340/3757] lr: 1.000e-03 eta: 13:03:35 time: 0.198 data_time: 0.019 memory: 5150 grad_norm: 6.5298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/06/28 13:26:23 - mmengine - INFO - Epoch(train) [53][3360/3757] lr: 1.000e-03 eta: 13:03:29 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 6.9637 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4879 loss: 1.4879 2022/06/28 13:26:29 - mmengine - INFO - Epoch(train) [53][3380/3757] lr: 1.000e-03 eta: 13:03:24 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.1100 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2908 loss: 1.2908 2022/06/28 13:26:34 - mmengine - INFO - Epoch(train) [53][3400/3757] lr: 1.000e-03 eta: 13:03:19 time: 0.283 data_time: 0.013 memory: 5150 grad_norm: 5.7845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/06/28 13:26:40 - mmengine - INFO - Epoch(train) [53][3420/3757] lr: 1.000e-03 eta: 13:03:13 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 6.9492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3520 loss: 1.3520 2022/06/28 13:26:45 - mmengine - INFO - Epoch(train) [53][3440/3757] lr: 1.000e-03 eta: 13:03:08 time: 0.363 data_time: 0.017 memory: 5150 grad_norm: 6.7946 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6388 loss: 1.6388 2022/06/28 13:26:50 - mmengine - INFO - Epoch(train) [53][3460/3757] lr: 1.000e-03 eta: 13:03:03 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.4827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0233 loss: 1.0233 2022/06/28 13:26:56 - mmengine - INFO - Epoch(train) [53][3480/3757] lr: 1.000e-03 eta: 13:02:58 time: 0.753 data_time: 0.586 memory: 5150 grad_norm: 6.2144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5110 loss: 1.5110 2022/06/28 13:27:01 - mmengine - INFO - Epoch(train) [53][3500/3757] lr: 1.000e-03 eta: 13:02:52 time: 0.687 data_time: 0.011 memory: 5150 grad_norm: 6.7994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6328 loss: 1.6328 2022/06/28 13:27:07 - mmengine - INFO - Epoch(train) [53][3520/3757] lr: 1.000e-03 eta: 13:02:47 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 6.6752 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3022 loss: 1.3022 2022/06/28 13:27:13 - mmengine - INFO - Epoch(train) [53][3540/3757] lr: 1.000e-03 eta: 13:02:43 time: 0.218 data_time: 0.039 memory: 5150 grad_norm: 7.1278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6546 loss: 1.6546 2022/06/28 13:27:17 - mmengine - INFO - Epoch(train) [53][3560/3757] lr: 1.000e-03 eta: 13:02:37 time: 0.577 data_time: 0.012 memory: 5150 grad_norm: 6.2747 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/28 13:27:22 - mmengine - INFO - Epoch(train) [53][3580/3757] lr: 1.000e-03 eta: 13:02:31 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 6.4258 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7922 loss: 1.7922 2022/06/28 13:27:28 - mmengine - INFO - Epoch(train) [53][3600/3757] lr: 1.000e-03 eta: 13:02:26 time: 0.200 data_time: 0.027 memory: 5150 grad_norm: 6.9653 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4919 loss: 1.4919 2022/06/28 13:27:33 - mmengine - INFO - Epoch(train) [53][3620/3757] lr: 1.000e-03 eta: 13:02:20 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.3046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4316 loss: 1.4316 2022/06/28 13:27:37 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:27:38 - mmengine - INFO - Epoch(train) [53][3640/3757] lr: 1.000e-03 eta: 13:02:15 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.9255 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4233 loss: 1.4233 2022/06/28 13:27:44 - mmengine - INFO - Epoch(train) [53][3660/3757] lr: 1.000e-03 eta: 13:02:10 time: 0.208 data_time: 0.026 memory: 5150 grad_norm: 6.3651 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1886 loss: 1.1886 2022/06/28 13:27:49 - mmengine - INFO - Epoch(train) [53][3680/3757] lr: 1.000e-03 eta: 13:02:05 time: 0.668 data_time: 0.007 memory: 5150 grad_norm: 6.6656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3365 loss: 1.3365 2022/06/28 13:27:54 - mmengine - INFO - Epoch(train) [53][3700/3757] lr: 1.000e-03 eta: 13:01:59 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 6.7815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/06/28 13:28:00 - mmengine - INFO - Epoch(train) [53][3720/3757] lr: 1.000e-03 eta: 13:01:54 time: 0.341 data_time: 0.165 memory: 5150 grad_norm: 6.4484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6015 loss: 1.6015 2022/06/28 13:28:05 - mmengine - INFO - Epoch(train) [53][3740/3757] lr: 1.000e-03 eta: 13:01:49 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 7.1095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3276 loss: 1.3276 2022/06/28 13:28:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:28:42 - mmengine - INFO - Epoch(val) [53][20/310] eta: 0:05:48 time: 0.821 data_time: 0.180 memory: 9746 2022/06/28 13:29:04 - mmengine - INFO - Epoch(val) [53][40/310] eta: 0:05:00 time: 1.071 data_time: 0.416 memory: 9746 2022/06/28 13:29:28 - mmengine - INFO - Epoch(val) [53][60/310] eta: 0:04:23 time: 1.057 data_time: 0.420 memory: 9746 2022/06/28 13:29:52 - mmengine - INFO - Epoch(val) [53][80/310] eta: 0:05:04 time: 1.137 data_time: 0.479 memory: 9746 2022/06/28 13:30:16 - mmengine - INFO - Epoch(val) [53][100/310] eta: 0:04:15 time: 2.534 data_time: 1.851 memory: 9746 2022/06/28 13:30:37 - mmengine - INFO - Epoch(val) [53][120/310] eta: 0:03:19 time: 1.140 data_time: 0.503 memory: 9746 2022/06/28 13:31:01 - mmengine - INFO - Epoch(val) [53][140/310] eta: 0:03:17 time: 1.085 data_time: 0.436 memory: 9746 2022/06/28 13:31:26 - mmengine - INFO - Epoch(val) [53][160/310] eta: 0:03:18 time: 3.505 data_time: 2.830 memory: 9746 2022/06/28 13:31:49 - mmengine - INFO - Epoch(val) [53][180/310] eta: 0:02:48 time: 1.074 data_time: 0.415 memory: 9746 2022/06/28 13:32:12 - mmengine - INFO - Epoch(val) [53][200/310] eta: 0:02:06 time: 1.058 data_time: 0.399 memory: 9746 2022/06/28 13:32:33 - mmengine - INFO - Epoch(val) [53][220/310] eta: 0:01:38 time: 1.141 data_time: 0.492 memory: 9746 2022/06/28 13:32:54 - mmengine - INFO - Epoch(val) [53][240/310] eta: 0:01:14 time: 1.056 data_time: 0.413 memory: 9746 2022/06/28 13:33:17 - mmengine - INFO - Epoch(val) [53][260/310] eta: 0:00:58 time: 1.093 data_time: 0.441 memory: 9746 2022/06/28 13:33:40 - mmengine - INFO - Epoch(val) [53][280/310] eta: 0:00:33 time: 1.635 data_time: 0.981 memory: 9746 2022/06/28 13:33:59 - mmengine - INFO - Epoch(val) [53][300/310] eta: 0:00:08 time: 0.651 data_time: 0.078 memory: 9746 2022/06/28 13:34:13 - mmengine - INFO - Epoch(val) [53][310/310] acc/top1: 0.7026 acc/top5: 0.8950 acc/mean1: 0.7026 2022/06/28 13:34:21 - mmengine - INFO - Epoch(train) [54][20/3757] lr: 1.000e-03 eta: 13:01:39 time: 0.200 data_time: 0.007 memory: 9746 grad_norm: 6.2733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4495 loss: 1.4495 2022/06/28 13:34:27 - mmengine - INFO - Epoch(train) [54][40/3757] lr: 1.000e-03 eta: 13:01:34 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0637 loss: 1.0637 2022/06/28 13:34:32 - mmengine - INFO - Epoch(train) [54][60/3757] lr: 1.000e-03 eta: 13:01:29 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.4403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5588 loss: 1.5588 2022/06/28 13:34:38 - mmengine - INFO - Epoch(train) [54][80/3757] lr: 1.000e-03 eta: 13:01:24 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 5.7240 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4393 loss: 1.4393 2022/06/28 13:34:43 - mmengine - INFO - Epoch(train) [54][100/3757] lr: 1.000e-03 eta: 13:01:19 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.5994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4945 loss: 1.4945 2022/06/28 13:34:48 - mmengine - INFO - Epoch(train) [54][120/3757] lr: 1.000e-03 eta: 13:01:13 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.9236 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5956 loss: 1.5956 2022/06/28 13:34:54 - mmengine - INFO - Epoch(train) [54][140/3757] lr: 1.000e-03 eta: 13:01:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.2609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4162 loss: 1.4162 2022/06/28 13:34:59 - mmengine - INFO - Epoch(train) [54][160/3757] lr: 1.000e-03 eta: 13:01:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.6914 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4167 loss: 1.4167 2022/06/28 13:35:05 - mmengine - INFO - Epoch(train) [54][180/3757] lr: 1.000e-03 eta: 13:00:57 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 5.7608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/06/28 13:35:10 - mmengine - INFO - Epoch(train) [54][200/3757] lr: 1.000e-03 eta: 13:00:52 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.5915 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/06/28 13:35:16 - mmengine - INFO - Epoch(train) [54][220/3757] lr: 1.000e-03 eta: 13:00:47 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.8375 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5957 loss: 1.5957 2022/06/28 13:35:20 - mmengine - INFO - Epoch(train) [54][240/3757] lr: 1.000e-03 eta: 13:00:41 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 7.0412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7198 loss: 1.7198 2022/06/28 13:35:26 - mmengine - INFO - Epoch(train) [54][260/3757] lr: 1.000e-03 eta: 13:00:36 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.7782 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7154 loss: 1.7154 2022/06/28 13:35:31 - mmengine - INFO - Epoch(train) [54][280/3757] lr: 1.000e-03 eta: 13:00:31 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.4886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/06/28 13:35:36 - mmengine - INFO - Epoch(train) [54][300/3757] lr: 1.000e-03 eta: 13:00:25 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.8300 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4510 loss: 1.4510 2022/06/28 13:35:42 - mmengine - INFO - Epoch(train) [54][320/3757] lr: 1.000e-03 eta: 13:00:20 time: 0.315 data_time: 0.100 memory: 5150 grad_norm: 6.3404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5844 loss: 1.5844 2022/06/28 13:35:47 - mmengine - INFO - Epoch(train) [54][340/3757] lr: 1.000e-03 eta: 13:00:15 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.3816 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6276 loss: 1.6276 2022/06/28 13:35:52 - mmengine - INFO - Epoch(train) [54][360/3757] lr: 1.000e-03 eta: 13:00:10 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.4244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/06/28 13:35:58 - mmengine - INFO - Epoch(train) [54][380/3757] lr: 1.000e-03 eta: 13:00:04 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.9737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5271 loss: 1.5271 2022/06/28 13:36:03 - mmengine - INFO - Epoch(train) [54][400/3757] lr: 1.000e-03 eta: 12:59:59 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.8718 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6394 loss: 1.6394 2022/06/28 13:36:08 - mmengine - INFO - Epoch(train) [54][420/3757] lr: 1.000e-03 eta: 12:59:54 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 6.3410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6561 loss: 1.6561 2022/06/28 13:36:14 - mmengine - INFO - Epoch(train) [54][440/3757] lr: 1.000e-03 eta: 12:59:49 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4732 loss: 1.4732 2022/06/28 13:36:19 - mmengine - INFO - Epoch(train) [54][460/3757] lr: 1.000e-03 eta: 12:59:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.5194 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3029 loss: 1.3029 2022/06/28 13:36:24 - mmengine - INFO - Epoch(train) [54][480/3757] lr: 1.000e-03 eta: 12:59:38 time: 0.190 data_time: 0.015 memory: 5150 grad_norm: 8.1427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4166 loss: 1.4166 2022/06/28 13:36:30 - mmengine - INFO - Epoch(train) [54][500/3757] lr: 1.000e-03 eta: 12:59:33 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.3054 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6737 loss: 1.6737 2022/06/28 13:36:36 - mmengine - INFO - Epoch(train) [54][520/3757] lr: 1.000e-03 eta: 12:59:28 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 7.5391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4390 loss: 1.4390 2022/06/28 13:36:40 - mmengine - INFO - Epoch(train) [54][540/3757] lr: 1.000e-03 eta: 12:59:22 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.3865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2551 loss: 1.2551 2022/06/28 13:36:46 - mmengine - INFO - Epoch(train) [54][560/3757] lr: 1.000e-03 eta: 12:59:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.3521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/06/28 13:36:51 - mmengine - INFO - Epoch(train) [54][580/3757] lr: 1.000e-03 eta: 12:59:11 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.6001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6206 loss: 1.6206 2022/06/28 13:36:56 - mmengine - INFO - Epoch(train) [54][600/3757] lr: 1.000e-03 eta: 12:59:05 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.0942 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3702 loss: 1.3702 2022/06/28 13:37:01 - mmengine - INFO - Epoch(train) [54][620/3757] lr: 1.000e-03 eta: 12:59:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.7794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1399 loss: 1.1399 2022/06/28 13:37:07 - mmengine - INFO - Epoch(train) [54][640/3757] lr: 1.000e-03 eta: 12:58:55 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 5.9043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5580 loss: 1.5580 2022/06/28 13:37:12 - mmengine - INFO - Epoch(train) [54][660/3757] lr: 1.000e-03 eta: 12:58:50 time: 0.490 data_time: 0.053 memory: 5150 grad_norm: 5.7340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5768 loss: 1.5768 2022/06/28 13:37:18 - mmengine - INFO - Epoch(train) [54][680/3757] lr: 1.000e-03 eta: 12:58:45 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.6509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3194 loss: 1.3194 2022/06/28 13:37:23 - mmengine - INFO - Epoch(train) [54][700/3757] lr: 1.000e-03 eta: 12:58:39 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.7447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0659 loss: 2.0659 2022/06/28 13:37:28 - mmengine - INFO - Epoch(train) [54][720/3757] lr: 1.000e-03 eta: 12:58:34 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.5840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5453 loss: 1.5453 2022/06/28 13:37:34 - mmengine - INFO - Epoch(train) [54][740/3757] lr: 1.000e-03 eta: 12:58:29 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.5132 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7130 loss: 1.7130 2022/06/28 13:37:40 - mmengine - INFO - Epoch(train) [54][760/3757] lr: 1.000e-03 eta: 12:58:24 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.9670 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9000 loss: 1.9000 2022/06/28 13:37:44 - mmengine - INFO - Epoch(train) [54][780/3757] lr: 1.000e-03 eta: 12:58:18 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.3573 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/06/28 13:37:50 - mmengine - INFO - Epoch(train) [54][800/3757] lr: 1.000e-03 eta: 12:58:13 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 5.6609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5198 loss: 1.5198 2022/06/28 13:37:56 - mmengine - INFO - Epoch(train) [54][820/3757] lr: 1.000e-03 eta: 12:58:08 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.5284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3090 loss: 1.3090 2022/06/28 13:38:00 - mmengine - INFO - Epoch(train) [54][840/3757] lr: 1.000e-03 eta: 12:58:02 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.5933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6603 loss: 1.6603 2022/06/28 13:38:05 - mmengine - INFO - Epoch(train) [54][860/3757] lr: 1.000e-03 eta: 12:57:56 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.7966 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4518 loss: 1.4518 2022/06/28 13:38:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:38:10 - mmengine - INFO - Epoch(train) [54][880/3757] lr: 1.000e-03 eta: 12:57:51 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.1052 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6067 loss: 1.6067 2022/06/28 13:38:15 - mmengine - INFO - Epoch(train) [54][900/3757] lr: 1.000e-03 eta: 12:57:45 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.2961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/06/28 13:38:21 - mmengine - INFO - Epoch(train) [54][920/3757] lr: 1.000e-03 eta: 12:57:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.8460 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6715 loss: 1.6715 2022/06/28 13:38:27 - mmengine - INFO - Epoch(train) [54][940/3757] lr: 1.000e-03 eta: 12:57:36 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.0868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6466 loss: 1.6466 2022/06/28 13:38:32 - mmengine - INFO - Epoch(train) [54][960/3757] lr: 1.000e-03 eta: 12:57:30 time: 0.353 data_time: 0.021 memory: 5150 grad_norm: 6.5610 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/06/28 13:38:37 - mmengine - INFO - Epoch(train) [54][980/3757] lr: 1.000e-03 eta: 12:57:25 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.2989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3584 loss: 1.3584 2022/06/28 13:38:43 - mmengine - INFO - Epoch(train) [54][1000/3757] lr: 1.000e-03 eta: 12:57:20 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/06/28 13:38:48 - mmengine - INFO - Epoch(train) [54][1020/3757] lr: 1.000e-03 eta: 12:57:14 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 6.5616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6184 loss: 1.6184 2022/06/28 13:38:54 - mmengine - INFO - Epoch(train) [54][1040/3757] lr: 1.000e-03 eta: 12:57:09 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.8949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4967 loss: 1.4967 2022/06/28 13:38:59 - mmengine - INFO - Epoch(train) [54][1060/3757] lr: 1.000e-03 eta: 12:57:04 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.2717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/06/28 13:39:04 - mmengine - INFO - Epoch(train) [54][1080/3757] lr: 1.000e-03 eta: 12:56:58 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 7.2292 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2941 loss: 1.2941 2022/06/28 13:39:09 - mmengine - INFO - Epoch(train) [54][1100/3757] lr: 1.000e-03 eta: 12:56:53 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.2359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/06/28 13:39:15 - mmengine - INFO - Epoch(train) [54][1120/3757] lr: 1.000e-03 eta: 12:56:47 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.3772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4477 loss: 1.4477 2022/06/28 13:39:19 - mmengine - INFO - Epoch(train) [54][1140/3757] lr: 1.000e-03 eta: 12:56:42 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 5.9485 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4915 loss: 1.4915 2022/06/28 13:39:25 - mmengine - INFO - Epoch(train) [54][1160/3757] lr: 1.000e-03 eta: 12:56:37 time: 0.192 data_time: 0.018 memory: 5150 grad_norm: 6.3060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3550 loss: 1.3550 2022/06/28 13:39:31 - mmengine - INFO - Epoch(train) [54][1180/3757] lr: 1.000e-03 eta: 12:56:32 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.8817 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6438 loss: 1.6438 2022/06/28 13:39:36 - mmengine - INFO - Epoch(train) [54][1200/3757] lr: 1.000e-03 eta: 12:56:26 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.5655 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4503 loss: 1.4503 2022/06/28 13:39:42 - mmengine - INFO - Epoch(train) [54][1220/3757] lr: 1.000e-03 eta: 12:56:21 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.9036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6528 loss: 1.6528 2022/06/28 13:39:47 - mmengine - INFO - Epoch(train) [54][1240/3757] lr: 1.000e-03 eta: 12:56:16 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.4664 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/06/28 13:39:52 - mmengine - INFO - Epoch(train) [54][1260/3757] lr: 1.000e-03 eta: 12:56:10 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 7.0341 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3981 loss: 1.3981 2022/06/28 13:39:57 - mmengine - INFO - Epoch(train) [54][1280/3757] lr: 1.000e-03 eta: 12:56:05 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 5.5967 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4722 loss: 1.4722 2022/06/28 13:40:03 - mmengine - INFO - Epoch(train) [54][1300/3757] lr: 1.000e-03 eta: 12:56:00 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 5.8761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5280 loss: 1.5280 2022/06/28 13:40:08 - mmengine - INFO - Epoch(train) [54][1320/3757] lr: 1.000e-03 eta: 12:55:54 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3001 loss: 1.3001 2022/06/28 13:40:13 - mmengine - INFO - Epoch(train) [54][1340/3757] lr: 1.000e-03 eta: 12:55:49 time: 0.207 data_time: 0.019 memory: 5150 grad_norm: 7.5045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2857 loss: 1.2857 2022/06/28 13:40:19 - mmengine - INFO - Epoch(train) [54][1360/3757] lr: 1.000e-03 eta: 12:55:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.5306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2560 loss: 1.2560 2022/06/28 13:40:25 - mmengine - INFO - Epoch(train) [54][1380/3757] lr: 1.000e-03 eta: 12:55:39 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.8918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5924 loss: 1.5924 2022/06/28 13:40:29 - mmengine - INFO - Epoch(train) [54][1400/3757] lr: 1.000e-03 eta: 12:55:33 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 6.6707 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/06/28 13:40:35 - mmengine - INFO - Epoch(train) [54][1420/3757] lr: 1.000e-03 eta: 12:55:28 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.9596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1450 loss: 1.1450 2022/06/28 13:40:40 - mmengine - INFO - Epoch(train) [54][1440/3757] lr: 1.000e-03 eta: 12:55:23 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 6.5068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0871 loss: 1.0871 2022/06/28 13:40:45 - mmengine - INFO - Epoch(train) [54][1460/3757] lr: 1.000e-03 eta: 12:55:17 time: 0.219 data_time: 0.013 memory: 5150 grad_norm: 5.8533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5585 loss: 1.5585 2022/06/28 13:40:51 - mmengine - INFO - Epoch(train) [54][1480/3757] lr: 1.000e-03 eta: 12:55:12 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 7.1594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5638 loss: 1.5638 2022/06/28 13:40:55 - mmengine - INFO - Epoch(train) [54][1500/3757] lr: 1.000e-03 eta: 12:55:06 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 7.0394 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4729 loss: 1.4729 2022/06/28 13:41:01 - mmengine - INFO - Epoch(train) [54][1520/3757] lr: 1.000e-03 eta: 12:55:01 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.3547 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4541 loss: 1.4541 2022/06/28 13:41:06 - mmengine - INFO - Epoch(train) [54][1540/3757] lr: 1.000e-03 eta: 12:54:56 time: 0.213 data_time: 0.021 memory: 5150 grad_norm: 7.0501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/06/28 13:41:11 - mmengine - INFO - Epoch(train) [54][1560/3757] lr: 1.000e-03 eta: 12:54:50 time: 0.196 data_time: 0.025 memory: 5150 grad_norm: 6.3800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3969 loss: 1.3969 2022/06/28 13:41:17 - mmengine - INFO - Epoch(train) [54][1580/3757] lr: 1.000e-03 eta: 12:54:45 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 5.9651 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3546 loss: 1.3546 2022/06/28 13:41:22 - mmengine - INFO - Epoch(train) [54][1600/3757] lr: 1.000e-03 eta: 12:54:40 time: 0.251 data_time: 0.014 memory: 5150 grad_norm: 7.4356 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5678 loss: 1.5678 2022/06/28 13:41:27 - mmengine - INFO - Epoch(train) [54][1620/3757] lr: 1.000e-03 eta: 12:54:34 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 5.4829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5857 loss: 1.5857 2022/06/28 13:41:33 - mmengine - INFO - Epoch(train) [54][1640/3757] lr: 1.000e-03 eta: 12:54:29 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.2836 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4952 loss: 1.4952 2022/06/28 13:41:39 - mmengine - INFO - Epoch(train) [54][1660/3757] lr: 1.000e-03 eta: 12:54:24 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.2896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/06/28 13:41:44 - mmengine - INFO - Epoch(train) [54][1680/3757] lr: 1.000e-03 eta: 12:54:19 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 7.5345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4188 loss: 1.4188 2022/06/28 13:41:49 - mmengine - INFO - Epoch(train) [54][1700/3757] lr: 1.000e-03 eta: 12:54:13 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2338 loss: 1.2338 2022/06/28 13:41:55 - mmengine - INFO - Epoch(train) [54][1720/3757] lr: 1.000e-03 eta: 12:54:09 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3679 loss: 1.3679 2022/06/28 13:42:00 - mmengine - INFO - Epoch(train) [54][1740/3757] lr: 1.000e-03 eta: 12:54:03 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.9711 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2929 loss: 1.2929 2022/06/28 13:42:05 - mmengine - INFO - Epoch(train) [54][1760/3757] lr: 1.000e-03 eta: 12:53:58 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.1214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4712 loss: 1.4712 2022/06/28 13:42:11 - mmengine - INFO - Epoch(train) [54][1780/3757] lr: 1.000e-03 eta: 12:53:52 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.1011 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2216 loss: 1.2216 2022/06/28 13:42:16 - mmengine - INFO - Epoch(train) [54][1800/3757] lr: 1.000e-03 eta: 12:53:47 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.5575 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6381 loss: 1.6381 2022/06/28 13:42:21 - mmengine - INFO - Epoch(train) [54][1820/3757] lr: 1.000e-03 eta: 12:53:42 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.2006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4445 loss: 1.4445 2022/06/28 13:42:27 - mmengine - INFO - Epoch(train) [54][1840/3757] lr: 1.000e-03 eta: 12:53:37 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3831 loss: 1.3831 2022/06/28 13:42:32 - mmengine - INFO - Epoch(train) [54][1860/3757] lr: 1.000e-03 eta: 12:53:31 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.3565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/06/28 13:42:37 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:42:37 - mmengine - INFO - Epoch(train) [54][1880/3757] lr: 1.000e-03 eta: 12:53:26 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 6.4461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/06/28 13:42:43 - mmengine - INFO - Epoch(train) [54][1900/3757] lr: 1.000e-03 eta: 12:53:21 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4746 loss: 1.4746 2022/06/28 13:42:48 - mmengine - INFO - Epoch(train) [54][1920/3757] lr: 1.000e-03 eta: 12:53:15 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 5.7398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0804 loss: 1.0804 2022/06/28 13:42:53 - mmengine - INFO - Epoch(train) [54][1940/3757] lr: 1.000e-03 eta: 12:53:10 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.4043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4217 loss: 1.4217 2022/06/28 13:42:59 - mmengine - INFO - Epoch(train) [54][1960/3757] lr: 1.000e-03 eta: 12:53:05 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.2751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3769 loss: 1.3769 2022/06/28 13:43:04 - mmengine - INFO - Epoch(train) [54][1980/3757] lr: 1.000e-03 eta: 12:52:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.8072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4298 loss: 1.4298 2022/06/28 13:43:09 - mmengine - INFO - Epoch(train) [54][2000/3757] lr: 1.000e-03 eta: 12:52:54 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.6379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1084 loss: 1.1084 2022/06/28 13:43:15 - mmengine - INFO - Epoch(train) [54][2020/3757] lr: 1.000e-03 eta: 12:52:49 time: 0.664 data_time: 0.007 memory: 5150 grad_norm: 6.7944 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3567 loss: 1.3567 2022/06/28 13:43:20 - mmengine - INFO - Epoch(train) [54][2040/3757] lr: 1.000e-03 eta: 12:52:43 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 6.3940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5744 loss: 1.5744 2022/06/28 13:43:26 - mmengine - INFO - Epoch(train) [54][2060/3757] lr: 1.000e-03 eta: 12:52:38 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 7.3031 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5752 loss: 1.5752 2022/06/28 13:43:31 - mmengine - INFO - Epoch(train) [54][2080/3757] lr: 1.000e-03 eta: 12:52:33 time: 0.335 data_time: 0.011 memory: 5150 grad_norm: 6.4589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1874 loss: 1.1874 2022/06/28 13:43:36 - mmengine - INFO - Epoch(train) [54][2100/3757] lr: 1.000e-03 eta: 12:52:27 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.6903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6842 loss: 1.6842 2022/06/28 13:43:41 - mmengine - INFO - Epoch(train) [54][2120/3757] lr: 1.000e-03 eta: 12:52:22 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.7311 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4385 loss: 1.4385 2022/06/28 13:43:46 - mmengine - INFO - Epoch(train) [54][2140/3757] lr: 1.000e-03 eta: 12:52:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 5.7679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3742 loss: 1.3742 2022/06/28 13:43:52 - mmengine - INFO - Epoch(train) [54][2160/3757] lr: 1.000e-03 eta: 12:52:11 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 7.8850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6784 loss: 1.6784 2022/06/28 13:43:57 - mmengine - INFO - Epoch(train) [54][2180/3757] lr: 1.000e-03 eta: 12:52:06 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 5.2171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8797 loss: 1.8797 2022/06/28 13:44:02 - mmengine - INFO - Epoch(train) [54][2200/3757] lr: 1.000e-03 eta: 12:52:01 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 6.1814 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2105 loss: 1.2105 2022/06/28 13:44:08 - mmengine - INFO - Epoch(train) [54][2220/3757] lr: 1.000e-03 eta: 12:51:56 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 7.2431 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1308 loss: 1.1308 2022/06/28 13:44:13 - mmengine - INFO - Epoch(train) [54][2240/3757] lr: 1.000e-03 eta: 12:51:50 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.5830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6518 loss: 1.6518 2022/06/28 13:44:19 - mmengine - INFO - Epoch(train) [54][2260/3757] lr: 1.000e-03 eta: 12:51:45 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.1412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3737 loss: 1.3737 2022/06/28 13:44:24 - mmengine - INFO - Epoch(train) [54][2280/3757] lr: 1.000e-03 eta: 12:51:40 time: 0.212 data_time: 0.041 memory: 5150 grad_norm: 7.0794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4068 loss: 1.4068 2022/06/28 13:44:30 - mmengine - INFO - Epoch(train) [54][2300/3757] lr: 1.000e-03 eta: 12:51:35 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 7.5164 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6225 loss: 1.6225 2022/06/28 13:44:35 - mmengine - INFO - Epoch(train) [54][2320/3757] lr: 1.000e-03 eta: 12:51:29 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.0067 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2356 loss: 1.2356 2022/06/28 13:44:41 - mmengine - INFO - Epoch(train) [54][2340/3757] lr: 1.000e-03 eta: 12:51:25 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.8362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6285 loss: 1.6285 2022/06/28 13:44:46 - mmengine - INFO - Epoch(train) [54][2360/3757] lr: 1.000e-03 eta: 12:51:19 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.2125 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4334 loss: 1.4334 2022/06/28 13:44:51 - mmengine - INFO - Epoch(train) [54][2380/3757] lr: 1.000e-03 eta: 12:51:13 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 7.2357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3480 loss: 1.3480 2022/06/28 13:44:56 - mmengine - INFO - Epoch(train) [54][2400/3757] lr: 1.000e-03 eta: 12:51:08 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 8.2148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4081 loss: 1.4081 2022/06/28 13:45:02 - mmengine - INFO - Epoch(train) [54][2420/3757] lr: 1.000e-03 eta: 12:51:03 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 6.5031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5884 loss: 1.5884 2022/06/28 13:45:07 - mmengine - INFO - Epoch(train) [54][2440/3757] lr: 1.000e-03 eta: 12:50:57 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 7.0774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3582 loss: 1.3582 2022/06/28 13:45:12 - mmengine - INFO - Epoch(train) [54][2460/3757] lr: 1.000e-03 eta: 12:50:52 time: 0.218 data_time: 0.014 memory: 5150 grad_norm: 8.5024 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/06/28 13:45:17 - mmengine - INFO - Epoch(train) [54][2480/3757] lr: 1.000e-03 eta: 12:50:47 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.7503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5613 loss: 1.5613 2022/06/28 13:45:23 - mmengine - INFO - Epoch(train) [54][2500/3757] lr: 1.000e-03 eta: 12:50:41 time: 0.622 data_time: 0.014 memory: 5150 grad_norm: 6.5579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2581 loss: 1.2581 2022/06/28 13:45:28 - mmengine - INFO - Epoch(train) [54][2520/3757] lr: 1.000e-03 eta: 12:50:36 time: 0.209 data_time: 0.018 memory: 5150 grad_norm: 7.4071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0866 loss: 1.0866 2022/06/28 13:45:33 - mmengine - INFO - Epoch(train) [54][2540/3757] lr: 1.000e-03 eta: 12:50:30 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.0136 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4083 loss: 1.4083 2022/06/28 13:45:39 - mmengine - INFO - Epoch(train) [54][2560/3757] lr: 1.000e-03 eta: 12:50:26 time: 1.092 data_time: 0.012 memory: 5150 grad_norm: 6.9406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1637 loss: 1.1637 2022/06/28 13:45:43 - mmengine - INFO - Epoch(train) [54][2580/3757] lr: 1.000e-03 eta: 12:50:20 time: 0.220 data_time: 0.014 memory: 5150 grad_norm: 7.2810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5083 loss: 1.5083 2022/06/28 13:45:49 - mmengine - INFO - Epoch(train) [54][2600/3757] lr: 1.000e-03 eta: 12:50:15 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.5997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5582 loss: 1.5582 2022/06/28 13:45:54 - mmengine - INFO - Epoch(train) [54][2620/3757] lr: 1.000e-03 eta: 12:50:09 time: 0.788 data_time: 0.015 memory: 5150 grad_norm: 6.0438 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4571 loss: 1.4571 2022/06/28 13:45:59 - mmengine - INFO - Epoch(train) [54][2640/3757] lr: 1.000e-03 eta: 12:50:04 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 7.5781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3197 loss: 1.3197 2022/06/28 13:46:04 - mmengine - INFO - Epoch(train) [54][2660/3757] lr: 1.000e-03 eta: 12:49:58 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 6.7681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/06/28 13:46:10 - mmengine - INFO - Epoch(train) [54][2680/3757] lr: 1.000e-03 eta: 12:49:53 time: 0.492 data_time: 0.011 memory: 5150 grad_norm: 6.2973 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5935 loss: 1.5935 2022/06/28 13:46:15 - mmengine - INFO - Epoch(train) [54][2700/3757] lr: 1.000e-03 eta: 12:49:47 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 8.2414 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8102 loss: 1.8102 2022/06/28 13:46:20 - mmengine - INFO - Epoch(train) [54][2720/3757] lr: 1.000e-03 eta: 12:49:42 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 6.1034 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4678 loss: 1.4678 2022/06/28 13:46:26 - mmengine - INFO - Epoch(train) [54][2740/3757] lr: 1.000e-03 eta: 12:49:37 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.7354 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8153 loss: 1.8153 2022/06/28 13:46:30 - mmengine - INFO - Epoch(train) [54][2760/3757] lr: 1.000e-03 eta: 12:49:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.8820 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2071 loss: 1.2071 2022/06/28 13:46:36 - mmengine - INFO - Epoch(train) [54][2780/3757] lr: 1.000e-03 eta: 12:49:26 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 6.8629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5802 loss: 1.5802 2022/06/28 13:46:41 - mmengine - INFO - Epoch(train) [54][2800/3757] lr: 1.000e-03 eta: 12:49:20 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.4987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0993 loss: 1.0993 2022/06/28 13:46:46 - mmengine - INFO - Epoch(train) [54][2820/3757] lr: 1.000e-03 eta: 12:49:15 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 6.2722 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/06/28 13:46:52 - mmengine - INFO - Epoch(train) [54][2840/3757] lr: 1.000e-03 eta: 12:49:10 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.5586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/28 13:46:57 - mmengine - INFO - Epoch(train) [54][2860/3757] lr: 1.000e-03 eta: 12:49:05 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 7.2093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4940 loss: 1.4940 2022/06/28 13:47:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:47:03 - mmengine - INFO - Epoch(train) [54][2880/3757] lr: 1.000e-03 eta: 12:49:00 time: 0.615 data_time: 0.008 memory: 5150 grad_norm: 7.3142 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2330 loss: 1.2330 2022/06/28 13:47:08 - mmengine - INFO - Epoch(train) [54][2900/3757] lr: 1.000e-03 eta: 12:48:54 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.6054 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/06/28 13:47:13 - mmengine - INFO - Epoch(train) [54][2920/3757] lr: 1.000e-03 eta: 12:48:48 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.0524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4524 loss: 1.4524 2022/06/28 13:47:19 - mmengine - INFO - Epoch(train) [54][2940/3757] lr: 1.000e-03 eta: 12:48:43 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.1057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5394 loss: 1.5394 2022/06/28 13:47:24 - mmengine - INFO - Epoch(train) [54][2960/3757] lr: 1.000e-03 eta: 12:48:38 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.3850 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6084 loss: 1.6084 2022/06/28 13:47:29 - mmengine - INFO - Epoch(train) [54][2980/3757] lr: 1.000e-03 eta: 12:48:32 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 6.5215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/06/28 13:47:34 - mmengine - INFO - Epoch(train) [54][3000/3757] lr: 1.000e-03 eta: 12:48:27 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.0254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9564 loss: 0.9564 2022/06/28 13:47:40 - mmengine - INFO - Epoch(train) [54][3020/3757] lr: 1.000e-03 eta: 12:48:22 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.4844 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1127 loss: 1.1127 2022/06/28 13:47:45 - mmengine - INFO - Epoch(train) [54][3040/3757] lr: 1.000e-03 eta: 12:48:16 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.1631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5748 loss: 1.5748 2022/06/28 13:47:50 - mmengine - INFO - Epoch(train) [54][3060/3757] lr: 1.000e-03 eta: 12:48:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.3243 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6535 loss: 1.6535 2022/06/28 13:47:54 - mmengine - INFO - Epoch(train) [54][3080/3757] lr: 1.000e-03 eta: 12:48:05 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.1964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6066 loss: 1.6066 2022/06/28 13:48:00 - mmengine - INFO - Epoch(train) [54][3100/3757] lr: 1.000e-03 eta: 12:48:00 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 5.5272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3560 loss: 1.3560 2022/06/28 13:48:05 - mmengine - INFO - Epoch(train) [54][3120/3757] lr: 1.000e-03 eta: 12:47:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0715 loss: 1.0715 2022/06/28 13:48:10 - mmengine - INFO - Epoch(train) [54][3140/3757] lr: 1.000e-03 eta: 12:47:49 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2296 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4802 loss: 1.4802 2022/06/28 13:48:16 - mmengine - INFO - Epoch(train) [54][3160/3757] lr: 1.000e-03 eta: 12:47:44 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 6.9174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4353 loss: 1.4353 2022/06/28 13:48:22 - mmengine - INFO - Epoch(train) [54][3180/3757] lr: 1.000e-03 eta: 12:47:39 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4852 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2741 loss: 1.2741 2022/06/28 13:48:27 - mmengine - INFO - Epoch(train) [54][3200/3757] lr: 1.000e-03 eta: 12:47:33 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.5957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3449 loss: 1.3449 2022/06/28 13:48:32 - mmengine - INFO - Epoch(train) [54][3220/3757] lr: 1.000e-03 eta: 12:47:28 time: 0.198 data_time: 0.019 memory: 5150 grad_norm: 7.4651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4346 loss: 1.4346 2022/06/28 13:48:38 - mmengine - INFO - Epoch(train) [54][3240/3757] lr: 1.000e-03 eta: 12:47:23 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.7544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/28 13:48:43 - mmengine - INFO - Epoch(train) [54][3260/3757] lr: 1.000e-03 eta: 12:47:18 time: 0.418 data_time: 0.007 memory: 5150 grad_norm: 7.9369 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5796 loss: 1.5796 2022/06/28 13:48:48 - mmengine - INFO - Epoch(train) [54][3280/3757] lr: 1.000e-03 eta: 12:47:12 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.0760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/06/28 13:48:54 - mmengine - INFO - Epoch(train) [54][3300/3757] lr: 1.000e-03 eta: 12:47:07 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.2530 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7220 loss: 1.7220 2022/06/28 13:48:59 - mmengine - INFO - Epoch(train) [54][3320/3757] lr: 1.000e-03 eta: 12:47:02 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 5.1023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/06/28 13:49:04 - mmengine - INFO - Epoch(train) [54][3340/3757] lr: 1.000e-03 eta: 12:46:57 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.1745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6128 loss: 1.6128 2022/06/28 13:49:09 - mmengine - INFO - Epoch(train) [54][3360/3757] lr: 1.000e-03 eta: 12:46:51 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.7802 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/06/28 13:49:14 - mmengine - INFO - Epoch(train) [54][3380/3757] lr: 1.000e-03 eta: 12:46:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3943 loss: 1.3943 2022/06/28 13:49:20 - mmengine - INFO - Epoch(train) [54][3400/3757] lr: 1.000e-03 eta: 12:46:40 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.6714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0876 loss: 1.0876 2022/06/28 13:49:26 - mmengine - INFO - Epoch(train) [54][3420/3757] lr: 1.000e-03 eta: 12:46:35 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.1232 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3300 loss: 1.3300 2022/06/28 13:49:30 - mmengine - INFO - Epoch(train) [54][3440/3757] lr: 1.000e-03 eta: 12:46:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.7826 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3496 loss: 1.3496 2022/06/28 13:49:36 - mmengine - INFO - Epoch(train) [54][3460/3757] lr: 1.000e-03 eta: 12:46:25 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.1521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4048 loss: 1.4048 2022/06/28 13:49:42 - mmengine - INFO - Epoch(train) [54][3480/3757] lr: 1.000e-03 eta: 12:46:20 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 7.8815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7101 loss: 1.7101 2022/06/28 13:49:47 - mmengine - INFO - Epoch(train) [54][3500/3757] lr: 1.000e-03 eta: 12:46:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.0269 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0356 loss: 1.0356 2022/06/28 13:49:52 - mmengine - INFO - Epoch(train) [54][3520/3757] lr: 1.000e-03 eta: 12:46:09 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.2677 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8012 loss: 1.8012 2022/06/28 13:49:58 - mmengine - INFO - Epoch(train) [54][3540/3757] lr: 1.000e-03 eta: 12:46:04 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.3977 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4459 loss: 1.4459 2022/06/28 13:50:03 - mmengine - INFO - Epoch(train) [54][3560/3757] lr: 1.000e-03 eta: 12:45:58 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.1611 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3303 loss: 1.3303 2022/06/28 13:50:08 - mmengine - INFO - Epoch(train) [54][3580/3757] lr: 1.000e-03 eta: 12:45:53 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 6.3861 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4991 loss: 1.4991 2022/06/28 13:50:14 - mmengine - INFO - Epoch(train) [54][3600/3757] lr: 1.000e-03 eta: 12:45:47 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.7722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5142 loss: 1.5142 2022/06/28 13:50:19 - mmengine - INFO - Epoch(train) [54][3620/3757] lr: 1.000e-03 eta: 12:45:42 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.5542 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/06/28 13:50:24 - mmengine - INFO - Epoch(train) [54][3640/3757] lr: 1.000e-03 eta: 12:45:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.3300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6100 loss: 1.6100 2022/06/28 13:50:30 - mmengine - INFO - Epoch(train) [54][3660/3757] lr: 1.000e-03 eta: 12:45:31 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 7.0503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1668 loss: 1.1668 2022/06/28 13:50:34 - mmengine - INFO - Epoch(train) [54][3680/3757] lr: 1.000e-03 eta: 12:45:26 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 5.7860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/28 13:50:40 - mmengine - INFO - Epoch(train) [54][3700/3757] lr: 1.000e-03 eta: 12:45:21 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.8419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0470 loss: 2.0470 2022/06/28 13:50:46 - mmengine - INFO - Epoch(train) [54][3720/3757] lr: 1.000e-03 eta: 12:45:16 time: 0.217 data_time: 0.019 memory: 5150 grad_norm: 6.7527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0699 loss: 1.0699 2022/06/28 13:50:51 - mmengine - INFO - Epoch(train) [54][3740/3757] lr: 1.000e-03 eta: 12:45:10 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.9408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/06/28 13:50:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:51:27 - mmengine - INFO - Epoch(val) [54][20/310] eta: 0:05:44 time: 1.048 data_time: 0.395 memory: 9746 2022/06/28 13:51:50 - mmengine - INFO - Epoch(val) [54][40/310] eta: 0:05:13 time: 1.035 data_time: 0.387 memory: 9746 2022/06/28 13:52:13 - mmengine - INFO - Epoch(val) [54][60/310] eta: 0:04:26 time: 1.067 data_time: 0.425 memory: 9746 2022/06/28 13:52:38 - mmengine - INFO - Epoch(val) [54][80/310] eta: 0:05:12 time: 1.155 data_time: 0.503 memory: 9746 2022/06/28 13:53:01 - mmengine - INFO - Epoch(val) [54][100/310] eta: 0:04:14 time: 2.632 data_time: 1.970 memory: 9746 2022/06/28 13:53:23 - mmengine - INFO - Epoch(val) [54][120/310] eta: 0:03:24 time: 1.133 data_time: 0.496 memory: 9746 2022/06/28 13:53:47 - mmengine - INFO - Epoch(val) [54][140/310] eta: 0:03:18 time: 1.005 data_time: 0.351 memory: 9746 2022/06/28 13:54:12 - mmengine - INFO - Epoch(val) [54][160/310] eta: 0:03:18 time: 3.545 data_time: 2.879 memory: 9746 2022/06/28 13:54:34 - mmengine - INFO - Epoch(val) [54][180/310] eta: 0:02:42 time: 1.041 data_time: 0.413 memory: 9746 2022/06/28 13:54:57 - mmengine - INFO - Epoch(val) [54][200/310] eta: 0:02:06 time: 1.047 data_time: 0.412 memory: 9746 2022/06/28 13:55:18 - mmengine - INFO - Epoch(val) [54][220/310] eta: 0:01:38 time: 1.155 data_time: 0.503 memory: 9746 2022/06/28 13:55:40 - mmengine - INFO - Epoch(val) [54][240/310] eta: 0:01:19 time: 1.112 data_time: 0.458 memory: 9746 2022/06/28 13:56:03 - mmengine - INFO - Epoch(val) [54][260/310] eta: 0:00:59 time: 0.975 data_time: 0.298 memory: 9746 2022/06/28 13:56:27 - mmengine - INFO - Epoch(val) [54][280/310] eta: 0:00:35 time: 2.425 data_time: 1.731 memory: 9746 2022/06/28 13:56:46 - mmengine - INFO - Epoch(val) [54][300/310] eta: 0:00:07 time: 0.646 data_time: 0.072 memory: 9746 2022/06/28 13:56:57 - mmengine - INFO - Epoch(val) [54][310/310] acc/top1: 0.7015 acc/top5: 0.8947 acc/mean1: 0.7014 2022/06/28 13:57:06 - mmengine - INFO - Epoch(train) [55][20/3757] lr: 1.000e-03 eta: 12:45:01 time: 0.199 data_time: 0.010 memory: 9746 grad_norm: 6.9732 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4603 loss: 1.4603 2022/06/28 13:57:12 - mmengine - INFO - Epoch(train) [55][40/3757] lr: 1.000e-03 eta: 12:44:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.6795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2291 loss: 1.2291 2022/06/28 13:57:17 - mmengine - INFO - Epoch(train) [55][60/3757] lr: 1.000e-03 eta: 12:44:50 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 7.0152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5160 loss: 1.5160 2022/06/28 13:57:22 - mmengine - INFO - Epoch(train) [55][80/3757] lr: 1.000e-03 eta: 12:44:45 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.1977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8290 loss: 1.8290 2022/06/28 13:57:27 - mmengine - INFO - Epoch(train) [55][100/3757] lr: 1.000e-03 eta: 12:44:40 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.5451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1817 loss: 1.1817 2022/06/28 13:57:32 - mmengine - INFO - Epoch(train) [55][120/3757] lr: 1.000e-03 eta: 12:44:34 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 7.3601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4747 loss: 1.4747 2022/06/28 13:57:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 13:57:38 - mmengine - INFO - Epoch(train) [55][140/3757] lr: 1.000e-03 eta: 12:44:29 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.5768 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2260 loss: 1.2260 2022/06/28 13:57:43 - mmengine - INFO - Epoch(train) [55][160/3757] lr: 1.000e-03 eta: 12:44:24 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 5.7207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1548 loss: 1.1548 2022/06/28 13:57:48 - mmengine - INFO - Epoch(train) [55][180/3757] lr: 1.000e-03 eta: 12:44:18 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.2721 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1113 loss: 1.1113 2022/06/28 13:57:54 - mmengine - INFO - Epoch(train) [55][200/3757] lr: 1.000e-03 eta: 12:44:14 time: 0.592 data_time: 0.008 memory: 5150 grad_norm: 5.5328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6577 loss: 1.6577 2022/06/28 13:58:00 - mmengine - INFO - Epoch(train) [55][220/3757] lr: 1.000e-03 eta: 12:44:08 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.3817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3601 loss: 1.3601 2022/06/28 13:58:04 - mmengine - INFO - Epoch(train) [55][240/3757] lr: 1.000e-03 eta: 12:44:02 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.2135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4606 loss: 1.4606 2022/06/28 13:58:10 - mmengine - INFO - Epoch(train) [55][260/3757] lr: 1.000e-03 eta: 12:43:57 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 6.1706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3875 loss: 1.3875 2022/06/28 13:58:15 - mmengine - INFO - Epoch(train) [55][280/3757] lr: 1.000e-03 eta: 12:43:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.1593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3490 loss: 1.3490 2022/06/28 13:58:20 - mmengine - INFO - Epoch(train) [55][300/3757] lr: 1.000e-03 eta: 12:43:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.6905 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2160 loss: 1.2160 2022/06/28 13:58:26 - mmengine - INFO - Epoch(train) [55][320/3757] lr: 1.000e-03 eta: 12:43:41 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0318 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4756 loss: 1.4756 2022/06/28 13:58:31 - mmengine - INFO - Epoch(train) [55][340/3757] lr: 1.000e-03 eta: 12:43:36 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.2347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1962 loss: 1.1962 2022/06/28 13:58:36 - mmengine - INFO - Epoch(train) [55][360/3757] lr: 1.000e-03 eta: 12:43:30 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.3395 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1834 loss: 1.1834 2022/06/28 13:58:41 - mmengine - INFO - Epoch(train) [55][380/3757] lr: 1.000e-03 eta: 12:43:25 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.4926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/06/28 13:58:47 - mmengine - INFO - Epoch(train) [55][400/3757] lr: 1.000e-03 eta: 12:43:20 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 7.5764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4374 loss: 1.4374 2022/06/28 13:58:52 - mmengine - INFO - Epoch(train) [55][420/3757] lr: 1.000e-03 eta: 12:43:14 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.8748 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6787 loss: 1.6787 2022/06/28 13:58:57 - mmengine - INFO - Epoch(train) [55][440/3757] lr: 1.000e-03 eta: 12:43:09 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.9055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3185 loss: 1.3185 2022/06/28 13:59:02 - mmengine - INFO - Epoch(train) [55][460/3757] lr: 1.000e-03 eta: 12:43:04 time: 0.294 data_time: 0.007 memory: 5150 grad_norm: 6.8681 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3276 loss: 1.3276 2022/06/28 13:59:08 - mmengine - INFO - Epoch(train) [55][480/3757] lr: 1.000e-03 eta: 12:42:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4213 loss: 1.4213 2022/06/28 13:59:13 - mmengine - INFO - Epoch(train) [55][500/3757] lr: 1.000e-03 eta: 12:42:53 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.8862 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5276 loss: 1.5276 2022/06/28 13:59:19 - mmengine - INFO - Epoch(train) [55][520/3757] lr: 1.000e-03 eta: 12:42:48 time: 0.860 data_time: 0.007 memory: 5150 grad_norm: 7.0352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2164 loss: 1.2164 2022/06/28 13:59:24 - mmengine - INFO - Epoch(train) [55][540/3757] lr: 1.000e-03 eta: 12:42:43 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 7.7644 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6428 loss: 1.6428 2022/06/28 13:59:29 - mmengine - INFO - Epoch(train) [55][560/3757] lr: 1.000e-03 eta: 12:42:37 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.8526 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5529 loss: 1.5529 2022/06/28 13:59:35 - mmengine - INFO - Epoch(train) [55][580/3757] lr: 1.000e-03 eta: 12:42:32 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4906 loss: 1.4906 2022/06/28 13:59:39 - mmengine - INFO - Epoch(train) [55][600/3757] lr: 1.000e-03 eta: 12:42:26 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 7.4937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/06/28 13:59:45 - mmengine - INFO - Epoch(train) [55][620/3757] lr: 1.000e-03 eta: 12:42:21 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.8763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/06/28 13:59:51 - mmengine - INFO - Epoch(train) [55][640/3757] lr: 1.000e-03 eta: 12:42:16 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.8028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2205 loss: 1.2205 2022/06/28 13:59:55 - mmengine - INFO - Epoch(train) [55][660/3757] lr: 1.000e-03 eta: 12:42:10 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.7676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6336 loss: 1.6336 2022/06/28 14:00:01 - mmengine - INFO - Epoch(train) [55][680/3757] lr: 1.000e-03 eta: 12:42:05 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 5.9946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2951 loss: 1.2951 2022/06/28 14:00:07 - mmengine - INFO - Epoch(train) [55][700/3757] lr: 1.000e-03 eta: 12:42:00 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.6271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5808 loss: 1.5808 2022/06/28 14:00:11 - mmengine - INFO - Epoch(train) [55][720/3757] lr: 1.000e-03 eta: 12:41:54 time: 0.277 data_time: 0.008 memory: 5150 grad_norm: 6.3058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6289 loss: 1.6289 2022/06/28 14:00:17 - mmengine - INFO - Epoch(train) [55][740/3757] lr: 1.000e-03 eta: 12:41:49 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 7.0543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3991 loss: 1.3991 2022/06/28 14:00:23 - mmengine - INFO - Epoch(train) [55][760/3757] lr: 1.000e-03 eta: 12:41:44 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.1915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5634 loss: 1.5634 2022/06/28 14:00:28 - mmengine - INFO - Epoch(train) [55][780/3757] lr: 1.000e-03 eta: 12:41:39 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.4468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2648 loss: 1.2648 2022/06/28 14:00:33 - mmengine - INFO - Epoch(train) [55][800/3757] lr: 1.000e-03 eta: 12:41:34 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 7.9763 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4207 loss: 1.4207 2022/06/28 14:00:39 - mmengine - INFO - Epoch(train) [55][820/3757] lr: 1.000e-03 eta: 12:41:29 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.4480 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6281 loss: 1.6281 2022/06/28 14:00:45 - mmengine - INFO - Epoch(train) [55][840/3757] lr: 1.000e-03 eta: 12:41:24 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.6460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4226 loss: 1.4226 2022/06/28 14:00:50 - mmengine - INFO - Epoch(train) [55][860/3757] lr: 1.000e-03 eta: 12:41:18 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.5329 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.3909 loss: 1.3909 2022/06/28 14:00:56 - mmengine - INFO - Epoch(train) [55][880/3757] lr: 1.000e-03 eta: 12:41:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.8027 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3962 loss: 1.3962 2022/06/28 14:01:00 - mmengine - INFO - Epoch(train) [55][900/3757] lr: 1.000e-03 eta: 12:41:07 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.9471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5430 loss: 1.5430 2022/06/28 14:01:05 - mmengine - INFO - Epoch(train) [55][920/3757] lr: 1.000e-03 eta: 12:41:02 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 6.6909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7143 loss: 1.7143 2022/06/28 14:01:11 - mmengine - INFO - Epoch(train) [55][940/3757] lr: 1.000e-03 eta: 12:40:57 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.4671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4365 loss: 1.4365 2022/06/28 14:01:17 - mmengine - INFO - Epoch(train) [55][960/3757] lr: 1.000e-03 eta: 12:40:52 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.9833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0644 loss: 1.0644 2022/06/28 14:01:22 - mmengine - INFO - Epoch(train) [55][980/3757] lr: 1.000e-03 eta: 12:40:46 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 7.5008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6543 loss: 1.6543 2022/06/28 14:01:27 - mmengine - INFO - Epoch(train) [55][1000/3757] lr: 1.000e-03 eta: 12:40:41 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.7816 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3180 loss: 1.3180 2022/06/28 14:01:32 - mmengine - INFO - Epoch(train) [55][1020/3757] lr: 1.000e-03 eta: 12:40:36 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4952 loss: 1.4952 2022/06/28 14:01:37 - mmengine - INFO - Epoch(train) [55][1040/3757] lr: 1.000e-03 eta: 12:40:30 time: 0.207 data_time: 0.022 memory: 5150 grad_norm: 6.6426 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3886 loss: 1.3886 2022/06/28 14:01:43 - mmengine - INFO - Epoch(train) [55][1060/3757] lr: 1.000e-03 eta: 12:40:25 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.4252 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7650 loss: 1.7650 2022/06/28 14:01:48 - mmengine - INFO - Epoch(train) [55][1080/3757] lr: 1.000e-03 eta: 12:40:19 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 7.2499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3857 loss: 1.3857 2022/06/28 14:01:53 - mmengine - INFO - Epoch(train) [55][1100/3757] lr: 1.000e-03 eta: 12:40:14 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 7.5982 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5407 loss: 1.5407 2022/06/28 14:01:59 - mmengine - INFO - Epoch(train) [55][1120/3757] lr: 1.000e-03 eta: 12:40:09 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.9282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/06/28 14:01:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:02:04 - mmengine - INFO - Epoch(train) [55][1140/3757] lr: 1.000e-03 eta: 12:40:03 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.0525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2208 loss: 1.2208 2022/06/28 14:02:09 - mmengine - INFO - Epoch(train) [55][1160/3757] lr: 1.000e-03 eta: 12:39:58 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 7.5136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3742 loss: 1.3742 2022/06/28 14:02:14 - mmengine - INFO - Epoch(train) [55][1180/3757] lr: 1.000e-03 eta: 12:39:52 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.9816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2642 loss: 1.2642 2022/06/28 14:02:20 - mmengine - INFO - Epoch(train) [55][1200/3757] lr: 1.000e-03 eta: 12:39:47 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 6.0106 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4181 loss: 1.4181 2022/06/28 14:02:25 - mmengine - INFO - Epoch(train) [55][1220/3757] lr: 1.000e-03 eta: 12:39:42 time: 0.463 data_time: 0.007 memory: 5150 grad_norm: 8.3016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/06/28 14:02:30 - mmengine - INFO - Epoch(train) [55][1240/3757] lr: 1.000e-03 eta: 12:39:37 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.1536 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4033 loss: 1.4033 2022/06/28 14:02:35 - mmengine - INFO - Epoch(train) [55][1260/3757] lr: 1.000e-03 eta: 12:39:31 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 8.6105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4943 loss: 1.4943 2022/06/28 14:02:40 - mmengine - INFO - Epoch(train) [55][1280/3757] lr: 1.000e-03 eta: 12:39:25 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 8.7779 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4544 loss: 1.4544 2022/06/28 14:02:46 - mmengine - INFO - Epoch(train) [55][1300/3757] lr: 1.000e-03 eta: 12:39:20 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.0039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4474 loss: 1.4474 2022/06/28 14:02:52 - mmengine - INFO - Epoch(train) [55][1320/3757] lr: 1.000e-03 eta: 12:39:15 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 7.0172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8394 loss: 1.8394 2022/06/28 14:02:56 - mmengine - INFO - Epoch(train) [55][1340/3757] lr: 1.000e-03 eta: 12:39:09 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.2223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/06/28 14:03:01 - mmengine - INFO - Epoch(train) [55][1360/3757] lr: 1.000e-03 eta: 12:39:04 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.6226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5648 loss: 1.5648 2022/06/28 14:03:06 - mmengine - INFO - Epoch(train) [55][1380/3757] lr: 1.000e-03 eta: 12:38:58 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 7.3300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6769 loss: 1.6769 2022/06/28 14:03:11 - mmengine - INFO - Epoch(train) [55][1400/3757] lr: 1.000e-03 eta: 12:38:53 time: 0.205 data_time: 0.034 memory: 5150 grad_norm: 6.7038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/06/28 14:03:17 - mmengine - INFO - Epoch(train) [55][1420/3757] lr: 1.000e-03 eta: 12:38:48 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.6242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5099 loss: 1.5099 2022/06/28 14:03:22 - mmengine - INFO - Epoch(train) [55][1440/3757] lr: 1.000e-03 eta: 12:38:42 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 6.4851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3234 loss: 1.3234 2022/06/28 14:03:28 - mmengine - INFO - Epoch(train) [55][1460/3757] lr: 1.000e-03 eta: 12:38:37 time: 0.207 data_time: 0.023 memory: 5150 grad_norm: 6.9119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5091 loss: 1.5091 2022/06/28 14:03:33 - mmengine - INFO - Epoch(train) [55][1480/3757] lr: 1.000e-03 eta: 12:38:31 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.5544 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3152 loss: 1.3152 2022/06/28 14:03:38 - mmengine - INFO - Epoch(train) [55][1500/3757] lr: 1.000e-03 eta: 12:38:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.6667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5054 loss: 1.5054 2022/06/28 14:03:44 - mmengine - INFO - Epoch(train) [55][1520/3757] lr: 1.000e-03 eta: 12:38:21 time: 1.029 data_time: 0.012 memory: 5150 grad_norm: 6.6241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4739 loss: 1.4739 2022/06/28 14:03:49 - mmengine - INFO - Epoch(train) [55][1540/3757] lr: 1.000e-03 eta: 12:38:16 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.7865 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2399 loss: 1.2399 2022/06/28 14:03:55 - mmengine - INFO - Epoch(train) [55][1560/3757] lr: 1.000e-03 eta: 12:38:11 time: 0.221 data_time: 0.009 memory: 5150 grad_norm: 8.0758 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4957 loss: 1.4957 2022/06/28 14:04:00 - mmengine - INFO - Epoch(train) [55][1580/3757] lr: 1.000e-03 eta: 12:38:06 time: 1.033 data_time: 0.015 memory: 5150 grad_norm: 7.0887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3789 loss: 1.3789 2022/06/28 14:04:05 - mmengine - INFO - Epoch(train) [55][1600/3757] lr: 1.000e-03 eta: 12:38:00 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 6.8036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6914 loss: 1.6914 2022/06/28 14:04:10 - mmengine - INFO - Epoch(train) [55][1620/3757] lr: 1.000e-03 eta: 12:37:55 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.0445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3791 loss: 1.3791 2022/06/28 14:04:16 - mmengine - INFO - Epoch(train) [55][1640/3757] lr: 1.000e-03 eta: 12:37:50 time: 0.656 data_time: 0.013 memory: 5150 grad_norm: 6.9387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5306 loss: 1.5306 2022/06/28 14:04:21 - mmengine - INFO - Epoch(train) [55][1660/3757] lr: 1.000e-03 eta: 12:37:44 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.6250 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/06/28 14:04:26 - mmengine - INFO - Epoch(train) [55][1680/3757] lr: 1.000e-03 eta: 12:37:39 time: 0.197 data_time: 0.025 memory: 5150 grad_norm: 5.4604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5998 loss: 1.5998 2022/06/28 14:04:32 - mmengine - INFO - Epoch(train) [55][1700/3757] lr: 1.000e-03 eta: 12:37:34 time: 0.895 data_time: 0.018 memory: 5150 grad_norm: 5.6225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5233 loss: 1.5233 2022/06/28 14:04:37 - mmengine - INFO - Epoch(train) [55][1720/3757] lr: 1.000e-03 eta: 12:37:28 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.1594 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/06/28 14:04:42 - mmengine - INFO - Epoch(train) [55][1740/3757] lr: 1.000e-03 eta: 12:37:23 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.8636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3602 loss: 1.3602 2022/06/28 14:04:48 - mmengine - INFO - Epoch(train) [55][1760/3757] lr: 1.000e-03 eta: 12:37:18 time: 0.930 data_time: 0.021 memory: 5150 grad_norm: 5.9318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5815 loss: 1.5815 2022/06/28 14:04:53 - mmengine - INFO - Epoch(train) [55][1780/3757] lr: 1.000e-03 eta: 12:37:12 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.9707 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4510 loss: 1.4510 2022/06/28 14:04:58 - mmengine - INFO - Epoch(train) [55][1800/3757] lr: 1.000e-03 eta: 12:37:07 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.5963 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9960 loss: 0.9960 2022/06/28 14:05:04 - mmengine - INFO - Epoch(train) [55][1820/3757] lr: 1.000e-03 eta: 12:37:02 time: 1.150 data_time: 0.020 memory: 5150 grad_norm: 6.7100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2536 loss: 1.2536 2022/06/28 14:05:09 - mmengine - INFO - Epoch(train) [55][1840/3757] lr: 1.000e-03 eta: 12:36:56 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.5824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7983 loss: 1.7983 2022/06/28 14:05:15 - mmengine - INFO - Epoch(train) [55][1860/3757] lr: 1.000e-03 eta: 12:36:51 time: 0.229 data_time: 0.009 memory: 5150 grad_norm: 7.3878 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2297 loss: 1.2297 2022/06/28 14:05:20 - mmengine - INFO - Epoch(train) [55][1880/3757] lr: 1.000e-03 eta: 12:36:46 time: 1.010 data_time: 0.013 memory: 5150 grad_norm: 5.3725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4774 loss: 1.4774 2022/06/28 14:05:25 - mmengine - INFO - Epoch(train) [55][1900/3757] lr: 1.000e-03 eta: 12:36:41 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.6029 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/06/28 14:05:31 - mmengine - INFO - Epoch(train) [55][1920/3757] lr: 1.000e-03 eta: 12:36:35 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.6037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/06/28 14:05:36 - mmengine - INFO - Epoch(train) [55][1940/3757] lr: 1.000e-03 eta: 12:36:30 time: 0.450 data_time: 0.010 memory: 5150 grad_norm: 6.9953 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3255 loss: 1.3255 2022/06/28 14:05:41 - mmengine - INFO - Epoch(train) [55][1960/3757] lr: 1.000e-03 eta: 12:36:25 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.5059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1278 loss: 1.1278 2022/06/28 14:05:47 - mmengine - INFO - Epoch(train) [55][1980/3757] lr: 1.000e-03 eta: 12:36:20 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.6327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3476 loss: 1.3476 2022/06/28 14:05:52 - mmengine - INFO - Epoch(train) [55][2000/3757] lr: 1.000e-03 eta: 12:36:14 time: 0.886 data_time: 0.013 memory: 5150 grad_norm: 5.6794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5722 loss: 1.5722 2022/06/28 14:05:57 - mmengine - INFO - Epoch(train) [55][2020/3757] lr: 1.000e-03 eta: 12:36:09 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 6.3834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8822 loss: 0.8822 2022/06/28 14:06:03 - mmengine - INFO - Epoch(train) [55][2040/3757] lr: 1.000e-03 eta: 12:36:03 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6769 loss: 1.6769 2022/06/28 14:06:08 - mmengine - INFO - Epoch(train) [55][2060/3757] lr: 1.000e-03 eta: 12:35:58 time: 0.257 data_time: 0.011 memory: 5150 grad_norm: 7.3564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2532 loss: 1.2532 2022/06/28 14:06:13 - mmengine - INFO - Epoch(train) [55][2080/3757] lr: 1.000e-03 eta: 12:35:53 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 7.9839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5249 loss: 1.5249 2022/06/28 14:06:18 - mmengine - INFO - Epoch(train) [55][2100/3757] lr: 1.000e-03 eta: 12:35:47 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 7.6658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4454 loss: 1.4454 2022/06/28 14:06:24 - mmengine - INFO - Epoch(train) [55][2120/3757] lr: 1.000e-03 eta: 12:35:42 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 7.0318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/06/28 14:06:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:06:30 - mmengine - INFO - Epoch(train) [55][2140/3757] lr: 1.000e-03 eta: 12:35:37 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.7104 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5535 loss: 1.5535 2022/06/28 14:06:35 - mmengine - INFO - Epoch(train) [55][2160/3757] lr: 1.000e-03 eta: 12:35:32 time: 0.248 data_time: 0.022 memory: 5150 grad_norm: 7.5717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5221 loss: 1.5221 2022/06/28 14:06:40 - mmengine - INFO - Epoch(train) [55][2180/3757] lr: 1.000e-03 eta: 12:35:26 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 8.4669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4560 loss: 1.4560 2022/06/28 14:06:46 - mmengine - INFO - Epoch(train) [55][2200/3757] lr: 1.000e-03 eta: 12:35:22 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 7.1462 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4476 loss: 1.4476 2022/06/28 14:06:51 - mmengine - INFO - Epoch(train) [55][2220/3757] lr: 1.000e-03 eta: 12:35:16 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 8.7895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4380 loss: 1.4380 2022/06/28 14:06:56 - mmengine - INFO - Epoch(train) [55][2240/3757] lr: 1.000e-03 eta: 12:35:11 time: 0.217 data_time: 0.014 memory: 5150 grad_norm: 8.2599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5035 loss: 1.5035 2022/06/28 14:07:01 - mmengine - INFO - Epoch(train) [55][2260/3757] lr: 1.000e-03 eta: 12:35:05 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 6.7883 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3752 loss: 1.3752 2022/06/28 14:07:06 - mmengine - INFO - Epoch(train) [55][2280/3757] lr: 1.000e-03 eta: 12:35:00 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.8914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2872 loss: 1.2872 2022/06/28 14:07:12 - mmengine - INFO - Epoch(train) [55][2300/3757] lr: 1.000e-03 eta: 12:34:54 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.3807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0436 loss: 1.0436 2022/06/28 14:07:17 - mmengine - INFO - Epoch(train) [55][2320/3757] lr: 1.000e-03 eta: 12:34:49 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.1591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/06/28 14:07:22 - mmengine - INFO - Epoch(train) [55][2340/3757] lr: 1.000e-03 eta: 12:34:43 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 5.8175 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/06/28 14:07:28 - mmengine - INFO - Epoch(train) [55][2360/3757] lr: 1.000e-03 eta: 12:34:38 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.9275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8395 loss: 1.8395 2022/06/28 14:07:33 - mmengine - INFO - Epoch(train) [55][2380/3757] lr: 1.000e-03 eta: 12:34:33 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 6.1357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4329 loss: 1.4329 2022/06/28 14:07:38 - mmengine - INFO - Epoch(train) [55][2400/3757] lr: 1.000e-03 eta: 12:34:27 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.0258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5507 loss: 1.5507 2022/06/28 14:07:43 - mmengine - INFO - Epoch(train) [55][2420/3757] lr: 1.000e-03 eta: 12:34:22 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 5.1833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/06/28 14:07:49 - mmengine - INFO - Epoch(train) [55][2440/3757] lr: 1.000e-03 eta: 12:34:17 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 7.9163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4339 loss: 1.4339 2022/06/28 14:07:54 - mmengine - INFO - Epoch(train) [55][2460/3757] lr: 1.000e-03 eta: 12:34:12 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.2859 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0014 loss: 1.0014 2022/06/28 14:08:00 - mmengine - INFO - Epoch(train) [55][2480/3757] lr: 1.000e-03 eta: 12:34:07 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 6.4531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1223 loss: 1.1223 2022/06/28 14:08:05 - mmengine - INFO - Epoch(train) [55][2500/3757] lr: 1.000e-03 eta: 12:34:01 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.7037 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5495 loss: 1.5495 2022/06/28 14:08:10 - mmengine - INFO - Epoch(train) [55][2520/3757] lr: 1.000e-03 eta: 12:33:56 time: 0.237 data_time: 0.010 memory: 5150 grad_norm: 6.5740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1713 loss: 1.1713 2022/06/28 14:08:16 - mmengine - INFO - Epoch(train) [55][2540/3757] lr: 1.000e-03 eta: 12:33:51 time: 0.279 data_time: 0.007 memory: 5150 grad_norm: 6.5024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6031 loss: 1.6031 2022/06/28 14:08:21 - mmengine - INFO - Epoch(train) [55][2560/3757] lr: 1.000e-03 eta: 12:33:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.8404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4541 loss: 1.4541 2022/06/28 14:08:26 - mmengine - INFO - Epoch(train) [55][2580/3757] lr: 1.000e-03 eta: 12:33:40 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.4038 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2545 loss: 1.2545 2022/06/28 14:08:32 - mmengine - INFO - Epoch(train) [55][2600/3757] lr: 1.000e-03 eta: 12:33:35 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.0600 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5835 loss: 1.5835 2022/06/28 14:08:37 - mmengine - INFO - Epoch(train) [55][2620/3757] lr: 1.000e-03 eta: 12:33:30 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4596 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7820 loss: 1.7820 2022/06/28 14:08:43 - mmengine - INFO - Epoch(train) [55][2640/3757] lr: 1.000e-03 eta: 12:33:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.0530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/06/28 14:08:48 - mmengine - INFO - Epoch(train) [55][2660/3757] lr: 1.000e-03 eta: 12:33:19 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.2283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/06/28 14:08:54 - mmengine - INFO - Epoch(train) [55][2680/3757] lr: 1.000e-03 eta: 12:33:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.6032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6129 loss: 1.6129 2022/06/28 14:08:59 - mmengine - INFO - Epoch(train) [55][2700/3757] lr: 1.000e-03 eta: 12:33:09 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.9607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6819 loss: 1.6819 2022/06/28 14:09:04 - mmengine - INFO - Epoch(train) [55][2720/3757] lr: 1.000e-03 eta: 12:33:03 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.7587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4451 loss: 1.4451 2022/06/28 14:09:10 - mmengine - INFO - Epoch(train) [55][2740/3757] lr: 1.000e-03 eta: 12:32:58 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4150 loss: 1.4150 2022/06/28 14:09:16 - mmengine - INFO - Epoch(train) [55][2760/3757] lr: 1.000e-03 eta: 12:32:54 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.5144 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4694 loss: 1.4694 2022/06/28 14:09:20 - mmengine - INFO - Epoch(train) [55][2780/3757] lr: 1.000e-03 eta: 12:32:47 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1253 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9480 loss: 0.9480 2022/06/28 14:09:25 - mmengine - INFO - Epoch(train) [55][2800/3757] lr: 1.000e-03 eta: 12:32:42 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.6252 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8730 loss: 1.8730 2022/06/28 14:09:30 - mmengine - INFO - Epoch(train) [55][2820/3757] lr: 1.000e-03 eta: 12:32:36 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.7799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/06/28 14:09:36 - mmengine - INFO - Epoch(train) [55][2840/3757] lr: 1.000e-03 eta: 12:32:32 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 6.8104 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8288 loss: 1.8288 2022/06/28 14:09:42 - mmengine - INFO - Epoch(train) [55][2860/3757] lr: 1.000e-03 eta: 12:32:27 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 7.4560 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4075 loss: 1.4075 2022/06/28 14:09:47 - mmengine - INFO - Epoch(train) [55][2880/3757] lr: 1.000e-03 eta: 12:32:21 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 6.2404 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4710 loss: 1.4710 2022/06/28 14:09:52 - mmengine - INFO - Epoch(train) [55][2900/3757] lr: 1.000e-03 eta: 12:32:15 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.8875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4624 loss: 1.4624 2022/06/28 14:09:58 - mmengine - INFO - Epoch(train) [55][2920/3757] lr: 1.000e-03 eta: 12:32:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.8176 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5888 loss: 1.5888 2022/06/28 14:10:02 - mmengine - INFO - Epoch(train) [55][2940/3757] lr: 1.000e-03 eta: 12:32:04 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.8691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/06/28 14:10:08 - mmengine - INFO - Epoch(train) [55][2960/3757] lr: 1.000e-03 eta: 12:31:59 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.5987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/06/28 14:10:13 - mmengine - INFO - Epoch(train) [55][2980/3757] lr: 1.000e-03 eta: 12:31:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2416 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4546 loss: 1.4546 2022/06/28 14:10:18 - mmengine - INFO - Epoch(train) [55][3000/3757] lr: 1.000e-03 eta: 12:31:48 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.7431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/06/28 14:10:23 - mmengine - INFO - Epoch(train) [55][3020/3757] lr: 1.000e-03 eta: 12:31:43 time: 0.213 data_time: 0.027 memory: 5150 grad_norm: 6.5072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4876 loss: 1.4876 2022/06/28 14:10:28 - mmengine - INFO - Epoch(train) [55][3040/3757] lr: 1.000e-03 eta: 12:31:37 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.6935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5407 loss: 1.5407 2022/06/28 14:10:33 - mmengine - INFO - Epoch(train) [55][3060/3757] lr: 1.000e-03 eta: 12:31:32 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.3586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2545 loss: 1.2545 2022/06/28 14:10:39 - mmengine - INFO - Epoch(train) [55][3080/3757] lr: 1.000e-03 eta: 12:31:27 time: 0.218 data_time: 0.014 memory: 5150 grad_norm: 6.0827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5493 loss: 1.5493 2022/06/28 14:10:44 - mmengine - INFO - Epoch(train) [55][3100/3757] lr: 1.000e-03 eta: 12:31:21 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.7226 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5393 loss: 1.5393 2022/06/28 14:10:49 - mmengine - INFO - Epoch(train) [55][3120/3757] lr: 1.000e-03 eta: 12:31:16 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.2563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1815 loss: 1.1815 2022/06/28 14:10:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:10:55 - mmengine - INFO - Epoch(train) [55][3140/3757] lr: 1.000e-03 eta: 12:31:11 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 7.4353 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2254 loss: 1.2254 2022/06/28 14:11:00 - mmengine - INFO - Epoch(train) [55][3160/3757] lr: 1.000e-03 eta: 12:31:05 time: 0.596 data_time: 0.008 memory: 5150 grad_norm: 7.3114 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4378 loss: 1.4378 2022/06/28 14:11:05 - mmengine - INFO - Epoch(train) [55][3180/3757] lr: 1.000e-03 eta: 12:31:00 time: 0.296 data_time: 0.010 memory: 5150 grad_norm: 6.2014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5253 loss: 1.5253 2022/06/28 14:11:11 - mmengine - INFO - Epoch(train) [55][3200/3757] lr: 1.000e-03 eta: 12:30:55 time: 0.205 data_time: 0.023 memory: 5150 grad_norm: 6.5527 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.1332 loss: 2.1332 2022/06/28 14:11:16 - mmengine - INFO - Epoch(train) [55][3220/3757] lr: 1.000e-03 eta: 12:30:49 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.7269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6387 loss: 1.6387 2022/06/28 14:11:21 - mmengine - INFO - Epoch(train) [55][3240/3757] lr: 1.000e-03 eta: 12:30:44 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 7.4876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1782 loss: 1.1782 2022/06/28 14:11:27 - mmengine - INFO - Epoch(train) [55][3260/3757] lr: 1.000e-03 eta: 12:30:39 time: 0.428 data_time: 0.016 memory: 5150 grad_norm: 7.7210 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5102 loss: 1.5102 2022/06/28 14:11:32 - mmengine - INFO - Epoch(train) [55][3280/3757] lr: 1.000e-03 eta: 12:30:34 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.7995 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2738 loss: 1.2738 2022/06/28 14:11:38 - mmengine - INFO - Epoch(train) [55][3300/3757] lr: 1.000e-03 eta: 12:30:28 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.4932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1593 loss: 1.1593 2022/06/28 14:11:43 - mmengine - INFO - Epoch(train) [55][3320/3757] lr: 1.000e-03 eta: 12:30:23 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 6.9577 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1643 loss: 1.1643 2022/06/28 14:11:48 - mmengine - INFO - Epoch(train) [55][3340/3757] lr: 1.000e-03 eta: 12:30:18 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 6.8562 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3000 loss: 1.3000 2022/06/28 14:11:54 - mmengine - INFO - Epoch(train) [55][3360/3757] lr: 1.000e-03 eta: 12:30:12 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.4312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1370 loss: 1.1370 2022/06/28 14:11:59 - mmengine - INFO - Epoch(train) [55][3380/3757] lr: 1.000e-03 eta: 12:30:07 time: 0.555 data_time: 0.015 memory: 5150 grad_norm: 7.0665 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4291 loss: 1.4291 2022/06/28 14:12:04 - mmengine - INFO - Epoch(train) [55][3400/3757] lr: 1.000e-03 eta: 12:30:02 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.2100 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4675 loss: 1.4675 2022/06/28 14:12:10 - mmengine - INFO - Epoch(train) [55][3420/3757] lr: 1.000e-03 eta: 12:29:56 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.1528 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5210 loss: 1.5210 2022/06/28 14:12:15 - mmengine - INFO - Epoch(train) [55][3440/3757] lr: 1.000e-03 eta: 12:29:51 time: 0.557 data_time: 0.046 memory: 5150 grad_norm: 5.7823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7734 loss: 0.7734 2022/06/28 14:12:20 - mmengine - INFO - Epoch(train) [55][3460/3757] lr: 1.000e-03 eta: 12:29:46 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.0901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2886 loss: 1.2886 2022/06/28 14:12:25 - mmengine - INFO - Epoch(train) [55][3480/3757] lr: 1.000e-03 eta: 12:29:40 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 6.9742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/06/28 14:12:31 - mmengine - INFO - Epoch(train) [55][3500/3757] lr: 1.000e-03 eta: 12:29:35 time: 0.490 data_time: 0.026 memory: 5150 grad_norm: 6.2426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5263 loss: 1.5263 2022/06/28 14:12:37 - mmengine - INFO - Epoch(train) [55][3520/3757] lr: 1.000e-03 eta: 12:29:30 time: 0.576 data_time: 0.007 memory: 5150 grad_norm: 9.5902 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1212 loss: 1.1212 2022/06/28 14:12:42 - mmengine - INFO - Epoch(train) [55][3540/3757] lr: 1.000e-03 eta: 12:29:25 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.7010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3565 loss: 1.3565 2022/06/28 14:12:48 - mmengine - INFO - Epoch(train) [55][3560/3757] lr: 1.000e-03 eta: 12:29:20 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 6.4916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0993 loss: 1.0993 2022/06/28 14:12:53 - mmengine - INFO - Epoch(train) [55][3580/3757] lr: 1.000e-03 eta: 12:29:15 time: 1.108 data_time: 0.007 memory: 5150 grad_norm: 8.2984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2107 loss: 1.2107 2022/06/28 14:12:59 - mmengine - INFO - Epoch(train) [55][3600/3757] lr: 1.000e-03 eta: 12:29:09 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.2611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5129 loss: 1.5129 2022/06/28 14:13:04 - mmengine - INFO - Epoch(train) [55][3620/3757] lr: 1.000e-03 eta: 12:29:04 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.7323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2993 loss: 1.2993 2022/06/28 14:13:09 - mmengine - INFO - Epoch(train) [55][3640/3757] lr: 1.000e-03 eta: 12:28:59 time: 0.733 data_time: 0.010 memory: 5150 grad_norm: 6.9679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2986 loss: 1.2986 2022/06/28 14:13:14 - mmengine - INFO - Epoch(train) [55][3660/3757] lr: 1.000e-03 eta: 12:28:53 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 7.3648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1612 loss: 1.1612 2022/06/28 14:13:20 - mmengine - INFO - Epoch(train) [55][3680/3757] lr: 1.000e-03 eta: 12:28:48 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 8.0981 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2798 loss: 1.2798 2022/06/28 14:13:25 - mmengine - INFO - Epoch(train) [55][3700/3757] lr: 1.000e-03 eta: 12:28:42 time: 1.003 data_time: 0.011 memory: 5150 grad_norm: 7.5756 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0553 loss: 1.0553 2022/06/28 14:13:29 - mmengine - INFO - Epoch(train) [55][3720/3757] lr: 1.000e-03 eta: 12:28:37 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.8055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7276 loss: 1.7276 2022/06/28 14:13:35 - mmengine - INFO - Epoch(train) [55][3740/3757] lr: 1.000e-03 eta: 12:28:31 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.6083 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6164 loss: 1.6164 2022/06/28 14:13:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:13:38 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/06/28 14:14:13 - mmengine - INFO - Epoch(val) [55][20/310] eta: 0:05:15 time: 1.031 data_time: 0.389 memory: 9746 2022/06/28 14:14:35 - mmengine - INFO - Epoch(val) [55][40/310] eta: 0:04:50 time: 1.029 data_time: 0.395 memory: 9746 2022/06/28 14:14:59 - mmengine - INFO - Epoch(val) [55][60/310] eta: 0:04:23 time: 1.057 data_time: 0.447 memory: 9746 2022/06/28 14:15:23 - mmengine - INFO - Epoch(val) [55][80/310] eta: 0:04:59 time: 1.062 data_time: 0.398 memory: 9746 2022/06/28 14:15:47 - mmengine - INFO - Epoch(val) [55][100/310] eta: 0:04:10 time: 2.853 data_time: 2.159 memory: 9746 2022/06/28 14:16:08 - mmengine - INFO - Epoch(val) [55][120/310] eta: 0:03:23 time: 1.078 data_time: 0.436 memory: 9746 2022/06/28 14:16:32 - mmengine - INFO - Epoch(val) [55][140/310] eta: 0:03:16 time: 1.118 data_time: 0.477 memory: 9746 2022/06/28 14:16:57 - mmengine - INFO - Epoch(val) [55][160/310] eta: 0:03:22 time: 3.813 data_time: 2.870 memory: 9746 2022/06/28 14:17:19 - mmengine - INFO - Epoch(val) [55][180/310] eta: 0:02:41 time: 0.894 data_time: 0.248 memory: 9746 2022/06/28 14:17:42 - mmengine - INFO - Epoch(val) [55][200/310] eta: 0:02:09 time: 1.103 data_time: 0.472 memory: 9746 2022/06/28 14:18:03 - mmengine - INFO - Epoch(val) [55][220/310] eta: 0:01:38 time: 1.354 data_time: 0.712 memory: 9746 2022/06/28 14:18:25 - mmengine - INFO - Epoch(val) [55][240/310] eta: 0:01:22 time: 1.083 data_time: 0.436 memory: 9746 2022/06/28 14:18:48 - mmengine - INFO - Epoch(val) [55][260/310] eta: 0:00:57 time: 1.095 data_time: 0.454 memory: 9746 2022/06/28 14:19:12 - mmengine - INFO - Epoch(val) [55][280/310] eta: 0:00:35 time: 2.236 data_time: 1.546 memory: 9746 2022/06/28 14:19:30 - mmengine - INFO - Epoch(val) [55][300/310] eta: 0:00:07 time: 0.628 data_time: 0.066 memory: 9746 2022/06/28 14:19:42 - mmengine - INFO - Epoch(val) [55][310/310] acc/top1: 0.7036 acc/top5: 0.8967 acc/mean1: 0.7036 2022/06/28 14:19:50 - mmengine - INFO - Epoch(train) [56][20/3757] lr: 1.000e-03 eta: 12:28:22 time: 0.199 data_time: 0.007 memory: 9746 grad_norm: 7.0157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3533 loss: 1.3533 2022/06/28 14:19:56 - mmengine - INFO - Epoch(train) [56][40/3757] lr: 1.000e-03 eta: 12:28:17 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 7.7039 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/06/28 14:20:01 - mmengine - INFO - Epoch(train) [56][60/3757] lr: 1.000e-03 eta: 12:28:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.9586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6656 loss: 1.6656 2022/06/28 14:20:07 - mmengine - INFO - Epoch(train) [56][80/3757] lr: 1.000e-03 eta: 12:28:07 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.1028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2785 loss: 1.2785 2022/06/28 14:20:12 - mmengine - INFO - Epoch(train) [56][100/3757] lr: 1.000e-03 eta: 12:28:01 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.4767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6152 loss: 1.6152 2022/06/28 14:20:17 - mmengine - INFO - Epoch(train) [56][120/3757] lr: 1.000e-03 eta: 12:27:56 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.3559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/06/28 14:20:22 - mmengine - INFO - Epoch(train) [56][140/3757] lr: 1.000e-03 eta: 12:27:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.0067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7178 loss: 1.7178 2022/06/28 14:20:28 - mmengine - INFO - Epoch(train) [56][160/3757] lr: 1.000e-03 eta: 12:27:46 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.0777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1652 loss: 1.1652 2022/06/28 14:20:33 - mmengine - INFO - Epoch(train) [56][180/3757] lr: 1.000e-03 eta: 12:27:40 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 4.8446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1194 loss: 1.1194 2022/06/28 14:20:39 - mmengine - INFO - Epoch(train) [56][200/3757] lr: 1.000e-03 eta: 12:27:35 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 6.4424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1288 loss: 1.1288 2022/06/28 14:20:44 - mmengine - INFO - Epoch(train) [56][220/3757] lr: 1.000e-03 eta: 12:27:30 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.7220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1733 loss: 1.1733 2022/06/28 14:20:49 - mmengine - INFO - Epoch(train) [56][240/3757] lr: 1.000e-03 eta: 12:27:24 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7935 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1251 loss: 1.1251 2022/06/28 14:20:55 - mmengine - INFO - Epoch(train) [56][260/3757] lr: 1.000e-03 eta: 12:27:19 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.0717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/06/28 14:21:00 - mmengine - INFO - Epoch(train) [56][280/3757] lr: 1.000e-03 eta: 12:27:14 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.1055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/06/28 14:21:05 - mmengine - INFO - Epoch(train) [56][300/3757] lr: 1.000e-03 eta: 12:27:08 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.2737 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/06/28 14:21:11 - mmengine - INFO - Epoch(train) [56][320/3757] lr: 1.000e-03 eta: 12:27:03 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.7387 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9084 loss: 1.9084 2022/06/28 14:21:17 - mmengine - INFO - Epoch(train) [56][340/3757] lr: 1.000e-03 eta: 12:26:58 time: 0.569 data_time: 0.008 memory: 5150 grad_norm: 6.3971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1687 loss: 1.1687 2022/06/28 14:21:21 - mmengine - INFO - Epoch(train) [56][360/3757] lr: 1.000e-03 eta: 12:26:52 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.6173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3898 loss: 1.3898 2022/06/28 14:21:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:21:27 - mmengine - INFO - Epoch(train) [56][380/3757] lr: 1.000e-03 eta: 12:26:47 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.3581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3808 loss: 1.3808 2022/06/28 14:21:33 - mmengine - INFO - Epoch(train) [56][400/3757] lr: 1.000e-03 eta: 12:26:42 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 7.6707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/06/28 14:21:38 - mmengine - INFO - Epoch(train) [56][420/3757] lr: 1.000e-03 eta: 12:26:37 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.6422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2698 loss: 1.2698 2022/06/28 14:21:43 - mmengine - INFO - Epoch(train) [56][440/3757] lr: 1.000e-03 eta: 12:26:31 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.8369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/06/28 14:21:48 - mmengine - INFO - Epoch(train) [56][460/3757] lr: 1.000e-03 eta: 12:26:26 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 6.6172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2560 loss: 1.2560 2022/06/28 14:21:53 - mmengine - INFO - Epoch(train) [56][480/3757] lr: 1.000e-03 eta: 12:26:20 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.8090 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6665 loss: 1.6665 2022/06/28 14:21:58 - mmengine - INFO - Epoch(train) [56][500/3757] lr: 1.000e-03 eta: 12:26:15 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.4839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7249 loss: 1.7249 2022/06/28 14:22:04 - mmengine - INFO - Epoch(train) [56][520/3757] lr: 1.000e-03 eta: 12:26:10 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.2943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2299 loss: 1.2299 2022/06/28 14:22:09 - mmengine - INFO - Epoch(train) [56][540/3757] lr: 1.000e-03 eta: 12:26:05 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.4426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/06/28 14:22:15 - mmengine - INFO - Epoch(train) [56][560/3757] lr: 1.000e-03 eta: 12:25:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.1268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/06/28 14:22:20 - mmengine - INFO - Epoch(train) [56][580/3757] lr: 1.000e-03 eta: 12:25:54 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.6397 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2425 loss: 1.2425 2022/06/28 14:22:25 - mmengine - INFO - Epoch(train) [56][600/3757] lr: 1.000e-03 eta: 12:25:49 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8002 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6555 loss: 1.6555 2022/06/28 14:22:31 - mmengine - INFO - Epoch(train) [56][620/3757] lr: 1.000e-03 eta: 12:25:44 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.8448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2206 loss: 1.2206 2022/06/28 14:22:37 - mmengine - INFO - Epoch(train) [56][640/3757] lr: 1.000e-03 eta: 12:25:39 time: 0.277 data_time: 0.007 memory: 5150 grad_norm: 5.9715 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2244 loss: 1.2244 2022/06/28 14:22:41 - mmengine - INFO - Epoch(train) [56][660/3757] lr: 1.000e-03 eta: 12:25:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.3505 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4038 loss: 1.4038 2022/06/28 14:22:47 - mmengine - INFO - Epoch(train) [56][680/3757] lr: 1.000e-03 eta: 12:25:27 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5321 loss: 1.5321 2022/06/28 14:22:52 - mmengine - INFO - Epoch(train) [56][700/3757] lr: 1.000e-03 eta: 12:25:22 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.7704 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3022 loss: 1.3022 2022/06/28 14:22:57 - mmengine - INFO - Epoch(train) [56][720/3757] lr: 1.000e-03 eta: 12:25:17 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 7.8937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8292 loss: 0.8292 2022/06/28 14:23:02 - mmengine - INFO - Epoch(train) [56][740/3757] lr: 1.000e-03 eta: 12:25:11 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.1507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3443 loss: 1.3443 2022/06/28 14:23:08 - mmengine - INFO - Epoch(train) [56][760/3757] lr: 1.000e-03 eta: 12:25:07 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 7.6034 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3624 loss: 1.3624 2022/06/28 14:23:13 - mmengine - INFO - Epoch(train) [56][780/3757] lr: 1.000e-03 eta: 12:25:01 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.5757 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9575 loss: 1.9575 2022/06/28 14:23:18 - mmengine - INFO - Epoch(train) [56][800/3757] lr: 1.000e-03 eta: 12:24:55 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 6.3167 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6972 loss: 1.6972 2022/06/28 14:23:24 - mmengine - INFO - Epoch(train) [56][820/3757] lr: 1.000e-03 eta: 12:24:51 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.4415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9738 loss: 0.9738 2022/06/28 14:23:29 - mmengine - INFO - Epoch(train) [56][840/3757] lr: 1.000e-03 eta: 12:24:45 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.6324 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3896 loss: 1.3896 2022/06/28 14:23:34 - mmengine - INFO - Epoch(train) [56][860/3757] lr: 1.000e-03 eta: 12:24:39 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 7.2084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/06/28 14:23:40 - mmengine - INFO - Epoch(train) [56][880/3757] lr: 1.000e-03 eta: 12:24:34 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 9.3597 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5809 loss: 1.5809 2022/06/28 14:23:45 - mmengine - INFO - Epoch(train) [56][900/3757] lr: 1.000e-03 eta: 12:24:29 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 6.2109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3246 loss: 1.3246 2022/06/28 14:23:50 - mmengine - INFO - Epoch(train) [56][920/3757] lr: 1.000e-03 eta: 12:24:23 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.7672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4874 loss: 1.4874 2022/06/28 14:23:55 - mmengine - INFO - Epoch(train) [56][940/3757] lr: 1.000e-03 eta: 12:24:18 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.3428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5167 loss: 1.5167 2022/06/28 14:24:00 - mmengine - INFO - Epoch(train) [56][960/3757] lr: 1.000e-03 eta: 12:24:12 time: 0.230 data_time: 0.018 memory: 5150 grad_norm: 6.1435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4524 loss: 1.4524 2022/06/28 14:24:06 - mmengine - INFO - Epoch(train) [56][980/3757] lr: 1.000e-03 eta: 12:24:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.3128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/06/28 14:24:11 - mmengine - INFO - Epoch(train) [56][1000/3757] lr: 1.000e-03 eta: 12:24:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.7201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/06/28 14:24:16 - mmengine - INFO - Epoch(train) [56][1020/3757] lr: 1.000e-03 eta: 12:23:56 time: 0.405 data_time: 0.025 memory: 5150 grad_norm: 7.8946 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5634 loss: 1.5634 2022/06/28 14:24:22 - mmengine - INFO - Epoch(train) [56][1040/3757] lr: 1.000e-03 eta: 12:23:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.2287 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5636 loss: 1.5636 2022/06/28 14:24:27 - mmengine - INFO - Epoch(train) [56][1060/3757] lr: 1.000e-03 eta: 12:23:46 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.0392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5100 loss: 1.5100 2022/06/28 14:24:32 - mmengine - INFO - Epoch(train) [56][1080/3757] lr: 1.000e-03 eta: 12:23:40 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 7.9190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8039 loss: 1.8039 2022/06/28 14:24:38 - mmengine - INFO - Epoch(train) [56][1100/3757] lr: 1.000e-03 eta: 12:23:35 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.8701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/06/28 14:24:43 - mmengine - INFO - Epoch(train) [56][1120/3757] lr: 1.000e-03 eta: 12:23:30 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.2896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2027 loss: 1.2027 2022/06/28 14:24:48 - mmengine - INFO - Epoch(train) [56][1140/3757] lr: 1.000e-03 eta: 12:23:25 time: 0.234 data_time: 0.011 memory: 5150 grad_norm: 6.7504 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3647 loss: 1.3647 2022/06/28 14:24:54 - mmengine - INFO - Epoch(train) [56][1160/3757] lr: 1.000e-03 eta: 12:23:19 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4544 loss: 1.4544 2022/06/28 14:24:59 - mmengine - INFO - Epoch(train) [56][1180/3757] lr: 1.000e-03 eta: 12:23:14 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 6.9312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4128 loss: 1.4128 2022/06/28 14:25:04 - mmengine - INFO - Epoch(train) [56][1200/3757] lr: 1.000e-03 eta: 12:23:09 time: 0.210 data_time: 0.017 memory: 5150 grad_norm: 6.7556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2815 loss: 1.2815 2022/06/28 14:25:10 - mmengine - INFO - Epoch(train) [56][1220/3757] lr: 1.000e-03 eta: 12:23:03 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.0017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2698 loss: 1.2698 2022/06/28 14:25:15 - mmengine - INFO - Epoch(train) [56][1240/3757] lr: 1.000e-03 eta: 12:22:58 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.8863 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/06/28 14:25:20 - mmengine - INFO - Epoch(train) [56][1260/3757] lr: 1.000e-03 eta: 12:22:53 time: 0.221 data_time: 0.013 memory: 5150 grad_norm: 7.6494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3578 loss: 1.3578 2022/06/28 14:25:26 - mmengine - INFO - Epoch(train) [56][1280/3757] lr: 1.000e-03 eta: 12:22:48 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.1593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5566 loss: 1.5566 2022/06/28 14:25:30 - mmengine - INFO - Epoch(train) [56][1300/3757] lr: 1.000e-03 eta: 12:22:42 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.2770 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5350 loss: 1.5350 2022/06/28 14:25:36 - mmengine - INFO - Epoch(train) [56][1320/3757] lr: 1.000e-03 eta: 12:22:37 time: 0.216 data_time: 0.022 memory: 5150 grad_norm: 6.7382 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6029 loss: 1.6029 2022/06/28 14:25:41 - mmengine - INFO - Epoch(train) [56][1340/3757] lr: 1.000e-03 eta: 12:22:31 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.7797 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5230 loss: 1.5230 2022/06/28 14:25:46 - mmengine - INFO - Epoch(train) [56][1360/3757] lr: 1.000e-03 eta: 12:22:25 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.2164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1451 loss: 1.1451 2022/06/28 14:25:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:25:52 - mmengine - INFO - Epoch(train) [56][1380/3757] lr: 1.000e-03 eta: 12:22:20 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 6.8378 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/06/28 14:25:57 - mmengine - INFO - Epoch(train) [56][1400/3757] lr: 1.000e-03 eta: 12:22:15 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.7831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2056 loss: 1.2056 2022/06/28 14:26:01 - mmengine - INFO - Epoch(train) [56][1420/3757] lr: 1.000e-03 eta: 12:22:09 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.7102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1767 loss: 1.1767 2022/06/28 14:26:07 - mmengine - INFO - Epoch(train) [56][1440/3757] lr: 1.000e-03 eta: 12:22:04 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 7.5164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/06/28 14:26:13 - mmengine - INFO - Epoch(train) [56][1460/3757] lr: 1.000e-03 eta: 12:21:59 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.1677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6310 loss: 1.6310 2022/06/28 14:26:17 - mmengine - INFO - Epoch(train) [56][1480/3757] lr: 1.000e-03 eta: 12:21:53 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.7464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4488 loss: 1.4488 2022/06/28 14:26:23 - mmengine - INFO - Epoch(train) [56][1500/3757] lr: 1.000e-03 eta: 12:21:48 time: 0.221 data_time: 0.015 memory: 5150 grad_norm: 8.0010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5538 loss: 1.5538 2022/06/28 14:26:29 - mmengine - INFO - Epoch(train) [56][1520/3757] lr: 1.000e-03 eta: 12:21:43 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.5454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/06/28 14:26:34 - mmengine - INFO - Epoch(train) [56][1540/3757] lr: 1.000e-03 eta: 12:21:37 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 7.1387 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3486 loss: 1.3486 2022/06/28 14:26:39 - mmengine - INFO - Epoch(train) [56][1560/3757] lr: 1.000e-03 eta: 12:21:32 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.4581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/06/28 14:26:45 - mmengine - INFO - Epoch(train) [56][1580/3757] lr: 1.000e-03 eta: 12:21:27 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.2123 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4450 loss: 1.4450 2022/06/28 14:26:50 - mmengine - INFO - Epoch(train) [56][1600/3757] lr: 1.000e-03 eta: 12:21:22 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.4046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/06/28 14:26:55 - mmengine - INFO - Epoch(train) [56][1620/3757] lr: 1.000e-03 eta: 12:21:16 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.2087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7772 loss: 1.7772 2022/06/28 14:27:00 - mmengine - INFO - Epoch(train) [56][1640/3757] lr: 1.000e-03 eta: 12:21:11 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.0280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1685 loss: 1.1685 2022/06/28 14:27:06 - mmengine - INFO - Epoch(train) [56][1660/3757] lr: 1.000e-03 eta: 12:21:06 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.5903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3454 loss: 1.3454 2022/06/28 14:27:12 - mmengine - INFO - Epoch(train) [56][1680/3757] lr: 1.000e-03 eta: 12:21:01 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.4807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3448 loss: 1.3448 2022/06/28 14:27:17 - mmengine - INFO - Epoch(train) [56][1700/3757] lr: 1.000e-03 eta: 12:20:55 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.3867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6249 loss: 1.6249 2022/06/28 14:27:22 - mmengine - INFO - Epoch(train) [56][1720/3757] lr: 1.000e-03 eta: 12:20:50 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 9.4579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2358 loss: 1.2358 2022/06/28 14:27:28 - mmengine - INFO - Epoch(train) [56][1740/3757] lr: 1.000e-03 eta: 12:20:45 time: 0.235 data_time: 0.010 memory: 5150 grad_norm: 7.2297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2852 loss: 1.2852 2022/06/28 14:27:33 - mmengine - INFO - Epoch(train) [56][1760/3757] lr: 1.000e-03 eta: 12:20:39 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 7.1978 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/06/28 14:27:38 - mmengine - INFO - Epoch(train) [56][1780/3757] lr: 1.000e-03 eta: 12:20:34 time: 0.218 data_time: 0.024 memory: 5150 grad_norm: 7.0553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4251 loss: 1.4251 2022/06/28 14:27:44 - mmengine - INFO - Epoch(train) [56][1800/3757] lr: 1.000e-03 eta: 12:20:29 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 6.0651 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3300 loss: 1.3300 2022/06/28 14:27:49 - mmengine - INFO - Epoch(train) [56][1820/3757] lr: 1.000e-03 eta: 12:20:23 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.0625 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1102 loss: 1.1102 2022/06/28 14:27:54 - mmengine - INFO - Epoch(train) [56][1840/3757] lr: 1.000e-03 eta: 12:20:18 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 7.6659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4613 loss: 1.4613 2022/06/28 14:27:59 - mmengine - INFO - Epoch(train) [56][1860/3757] lr: 1.000e-03 eta: 12:20:13 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.6785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/06/28 14:28:04 - mmengine - INFO - Epoch(train) [56][1880/3757] lr: 1.000e-03 eta: 12:20:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2814 loss: 1.2814 2022/06/28 14:28:10 - mmengine - INFO - Epoch(train) [56][1900/3757] lr: 1.000e-03 eta: 12:20:02 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.5376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1508 loss: 1.1508 2022/06/28 14:28:16 - mmengine - INFO - Epoch(train) [56][1920/3757] lr: 1.000e-03 eta: 12:19:57 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.5655 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5929 loss: 1.5929 2022/06/28 14:28:20 - mmengine - INFO - Epoch(train) [56][1940/3757] lr: 1.000e-03 eta: 12:19:51 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.1224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6639 loss: 1.6639 2022/06/28 14:28:26 - mmengine - INFO - Epoch(train) [56][1960/3757] lr: 1.000e-03 eta: 12:19:46 time: 0.216 data_time: 0.020 memory: 5150 grad_norm: 7.8761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2230 loss: 1.2230 2022/06/28 14:28:32 - mmengine - INFO - Epoch(train) [56][1980/3757] lr: 1.000e-03 eta: 12:19:41 time: 0.257 data_time: 0.007 memory: 5150 grad_norm: 6.9777 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3622 loss: 1.3622 2022/06/28 14:28:37 - mmengine - INFO - Epoch(train) [56][2000/3757] lr: 1.000e-03 eta: 12:19:35 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.4455 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5212 loss: 1.5212 2022/06/28 14:28:41 - mmengine - INFO - Epoch(train) [56][2020/3757] lr: 1.000e-03 eta: 12:19:30 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 6.6297 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0791 loss: 1.0791 2022/06/28 14:28:47 - mmengine - INFO - Epoch(train) [56][2040/3757] lr: 1.000e-03 eta: 12:19:25 time: 0.382 data_time: 0.015 memory: 5150 grad_norm: 6.5458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/06/28 14:28:53 - mmengine - INFO - Epoch(train) [56][2060/3757] lr: 1.000e-03 eta: 12:19:20 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.7625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4993 loss: 1.4993 2022/06/28 14:28:57 - mmengine - INFO - Epoch(train) [56][2080/3757] lr: 1.000e-03 eta: 12:19:14 time: 0.232 data_time: 0.011 memory: 5150 grad_norm: 5.9408 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5190 loss: 1.5190 2022/06/28 14:29:03 - mmengine - INFO - Epoch(train) [56][2100/3757] lr: 1.000e-03 eta: 12:19:08 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 8.0751 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8957 loss: 1.8957 2022/06/28 14:29:09 - mmengine - INFO - Epoch(train) [56][2120/3757] lr: 1.000e-03 eta: 12:19:04 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.9792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6092 loss: 1.6092 2022/06/28 14:29:14 - mmengine - INFO - Epoch(train) [56][2140/3757] lr: 1.000e-03 eta: 12:18:58 time: 0.761 data_time: 0.012 memory: 5150 grad_norm: 7.2779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6283 loss: 1.6283 2022/06/28 14:29:19 - mmengine - INFO - Epoch(train) [56][2160/3757] lr: 1.000e-03 eta: 12:18:53 time: 0.225 data_time: 0.010 memory: 5150 grad_norm: 7.3207 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3342 loss: 1.3342 2022/06/28 14:29:24 - mmengine - INFO - Epoch(train) [56][2180/3757] lr: 1.000e-03 eta: 12:18:48 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.7641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1765 loss: 1.1765 2022/06/28 14:29:30 - mmengine - INFO - Epoch(train) [56][2200/3757] lr: 1.000e-03 eta: 12:18:42 time: 0.617 data_time: 0.008 memory: 5150 grad_norm: 7.2709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6701 loss: 1.6701 2022/06/28 14:29:34 - mmengine - INFO - Epoch(train) [56][2220/3757] lr: 1.000e-03 eta: 12:18:36 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.2026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/06/28 14:29:40 - mmengine - INFO - Epoch(train) [56][2240/3757] lr: 1.000e-03 eta: 12:18:31 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.6238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6883 loss: 1.6883 2022/06/28 14:29:45 - mmengine - INFO - Epoch(train) [56][2260/3757] lr: 1.000e-03 eta: 12:18:26 time: 0.584 data_time: 0.014 memory: 5150 grad_norm: 7.2150 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6066 loss: 1.6066 2022/06/28 14:29:50 - mmengine - INFO - Epoch(train) [56][2280/3757] lr: 1.000e-03 eta: 12:18:20 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.0642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2757 loss: 1.2757 2022/06/28 14:29:56 - mmengine - INFO - Epoch(train) [56][2300/3757] lr: 1.000e-03 eta: 12:18:15 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.5042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3250 loss: 1.3250 2022/06/28 14:30:01 - mmengine - INFO - Epoch(train) [56][2320/3757] lr: 1.000e-03 eta: 12:18:10 time: 0.272 data_time: 0.008 memory: 5150 grad_norm: 7.3352 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4830 loss: 1.4830 2022/06/28 14:30:06 - mmengine - INFO - Epoch(train) [56][2340/3757] lr: 1.000e-03 eta: 12:18:04 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.6809 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1206 loss: 1.1206 2022/06/28 14:30:12 - mmengine - INFO - Epoch(train) [56][2360/3757] lr: 1.000e-03 eta: 12:17:59 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 6.8544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9949 loss: 0.9949 2022/06/28 14:30:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:30:17 - mmengine - INFO - Epoch(train) [56][2380/3757] lr: 1.000e-03 eta: 12:17:54 time: 0.224 data_time: 0.014 memory: 5150 grad_norm: 7.7723 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3620 loss: 1.3620 2022/06/28 14:30:23 - mmengine - INFO - Epoch(train) [56][2400/3757] lr: 1.000e-03 eta: 12:17:49 time: 0.731 data_time: 0.007 memory: 5150 grad_norm: 7.9031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4662 loss: 1.4662 2022/06/28 14:30:28 - mmengine - INFO - Epoch(train) [56][2420/3757] lr: 1.000e-03 eta: 12:17:43 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.2552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5183 loss: 1.5183 2022/06/28 14:30:33 - mmengine - INFO - Epoch(train) [56][2440/3757] lr: 1.000e-03 eta: 12:17:38 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 7.5088 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3370 loss: 1.3370 2022/06/28 14:30:39 - mmengine - INFO - Epoch(train) [56][2460/3757] lr: 1.000e-03 eta: 12:17:33 time: 0.551 data_time: 0.007 memory: 5150 grad_norm: 7.0202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/06/28 14:30:44 - mmengine - INFO - Epoch(train) [56][2480/3757] lr: 1.000e-03 eta: 12:17:28 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.1032 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8407 loss: 1.8407 2022/06/28 14:30:49 - mmengine - INFO - Epoch(train) [56][2500/3757] lr: 1.000e-03 eta: 12:17:22 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 7.3732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5198 loss: 1.5198 2022/06/28 14:30:55 - mmengine - INFO - Epoch(train) [56][2520/3757] lr: 1.000e-03 eta: 12:17:17 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 7.4938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4928 loss: 1.4928 2022/06/28 14:31:00 - mmengine - INFO - Epoch(train) [56][2540/3757] lr: 1.000e-03 eta: 12:17:12 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 7.7238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0921 loss: 2.0921 2022/06/28 14:31:05 - mmengine - INFO - Epoch(train) [56][2560/3757] lr: 1.000e-03 eta: 12:17:06 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 6.8745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2656 loss: 1.2656 2022/06/28 14:31:11 - mmengine - INFO - Epoch(train) [56][2580/3757] lr: 1.000e-03 eta: 12:17:01 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.1114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1749 loss: 1.1749 2022/06/28 14:31:16 - mmengine - INFO - Epoch(train) [56][2600/3757] lr: 1.000e-03 eta: 12:16:56 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7320 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5262 loss: 1.5262 2022/06/28 14:31:21 - mmengine - INFO - Epoch(train) [56][2620/3757] lr: 1.000e-03 eta: 12:16:51 time: 0.213 data_time: 0.019 memory: 5150 grad_norm: 6.3394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/06/28 14:31:27 - mmengine - INFO - Epoch(train) [56][2640/3757] lr: 1.000e-03 eta: 12:16:45 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.7799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3735 loss: 1.3735 2022/06/28 14:31:32 - mmengine - INFO - Epoch(train) [56][2660/3757] lr: 1.000e-03 eta: 12:16:40 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.1015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1056 loss: 1.1056 2022/06/28 14:31:37 - mmengine - INFO - Epoch(train) [56][2680/3757] lr: 1.000e-03 eta: 12:16:34 time: 0.199 data_time: 0.022 memory: 5150 grad_norm: 7.1459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5238 loss: 1.5238 2022/06/28 14:31:43 - mmengine - INFO - Epoch(train) [56][2700/3757] lr: 1.000e-03 eta: 12:16:30 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.0073 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6295 loss: 1.6295 2022/06/28 14:31:48 - mmengine - INFO - Epoch(train) [56][2720/3757] lr: 1.000e-03 eta: 12:16:24 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.6897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/06/28 14:31:53 - mmengine - INFO - Epoch(train) [56][2740/3757] lr: 1.000e-03 eta: 12:16:19 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 7.3196 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0958 loss: 1.0958 2022/06/28 14:31:59 - mmengine - INFO - Epoch(train) [56][2760/3757] lr: 1.000e-03 eta: 12:16:14 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 7.3458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/06/28 14:32:04 - mmengine - INFO - Epoch(train) [56][2780/3757] lr: 1.000e-03 eta: 12:16:08 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.2191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2167 loss: 1.2167 2022/06/28 14:32:09 - mmengine - INFO - Epoch(train) [56][2800/3757] lr: 1.000e-03 eta: 12:16:03 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.1500 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4101 loss: 1.4101 2022/06/28 14:32:15 - mmengine - INFO - Epoch(train) [56][2820/3757] lr: 1.000e-03 eta: 12:15:58 time: 0.218 data_time: 0.006 memory: 5150 grad_norm: 6.8539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5510 loss: 1.5510 2022/06/28 14:32:20 - mmengine - INFO - Epoch(train) [56][2840/3757] lr: 1.000e-03 eta: 12:15:52 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.9167 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3600 loss: 1.3600 2022/06/28 14:32:25 - mmengine - INFO - Epoch(train) [56][2860/3757] lr: 1.000e-03 eta: 12:15:47 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 7.4162 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4530 loss: 1.4530 2022/06/28 14:32:31 - mmengine - INFO - Epoch(train) [56][2880/3757] lr: 1.000e-03 eta: 12:15:42 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.4542 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/06/28 14:32:36 - mmengine - INFO - Epoch(train) [56][2900/3757] lr: 1.000e-03 eta: 12:15:36 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.5500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4969 loss: 1.4969 2022/06/28 14:32:41 - mmengine - INFO - Epoch(train) [56][2920/3757] lr: 1.000e-03 eta: 12:15:31 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.4503 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9157 loss: 1.9157 2022/06/28 14:32:46 - mmengine - INFO - Epoch(train) [56][2940/3757] lr: 1.000e-03 eta: 12:15:25 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 7.8901 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/06/28 14:32:52 - mmengine - INFO - Epoch(train) [56][2960/3757] lr: 1.000e-03 eta: 12:15:20 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4166 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4402 loss: 1.4402 2022/06/28 14:32:57 - mmengine - INFO - Epoch(train) [56][2980/3757] lr: 1.000e-03 eta: 12:15:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.8941 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5297 loss: 1.5297 2022/06/28 14:33:02 - mmengine - INFO - Epoch(train) [56][3000/3757] lr: 1.000e-03 eta: 12:15:09 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.5148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/06/28 14:33:09 - mmengine - INFO - Epoch(train) [56][3020/3757] lr: 1.000e-03 eta: 12:15:05 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.9940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/06/28 14:33:13 - mmengine - INFO - Epoch(train) [56][3040/3757] lr: 1.000e-03 eta: 12:14:59 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.3884 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2301 loss: 1.2301 2022/06/28 14:33:19 - mmengine - INFO - Epoch(train) [56][3060/3757] lr: 1.000e-03 eta: 12:14:54 time: 0.219 data_time: 0.012 memory: 5150 grad_norm: 6.3815 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1300 loss: 1.1300 2022/06/28 14:33:25 - mmengine - INFO - Epoch(train) [56][3080/3757] lr: 1.000e-03 eta: 12:14:49 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 6.7673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/06/28 14:33:30 - mmengine - INFO - Epoch(train) [56][3100/3757] lr: 1.000e-03 eta: 12:14:43 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.4982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4203 loss: 1.4203 2022/06/28 14:33:35 - mmengine - INFO - Epoch(train) [56][3120/3757] lr: 1.000e-03 eta: 12:14:38 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 7.2635 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4773 loss: 1.4773 2022/06/28 14:33:41 - mmengine - INFO - Epoch(train) [56][3140/3757] lr: 1.000e-03 eta: 12:14:33 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.1805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7766 loss: 1.7766 2022/06/28 14:33:46 - mmengine - INFO - Epoch(train) [56][3160/3757] lr: 1.000e-03 eta: 12:14:27 time: 0.236 data_time: 0.058 memory: 5150 grad_norm: 7.4335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3505 loss: 1.3505 2022/06/28 14:33:51 - mmengine - INFO - Epoch(train) [56][3180/3757] lr: 1.000e-03 eta: 12:14:22 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.7268 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3110 loss: 1.3110 2022/06/28 14:33:56 - mmengine - INFO - Epoch(train) [56][3200/3757] lr: 1.000e-03 eta: 12:14:17 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 7.0903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/06/28 14:34:01 - mmengine - INFO - Epoch(train) [56][3220/3757] lr: 1.000e-03 eta: 12:14:11 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9475 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2853 loss: 1.2853 2022/06/28 14:34:07 - mmengine - INFO - Epoch(train) [56][3240/3757] lr: 1.000e-03 eta: 12:14:06 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.2849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1817 loss: 1.1817 2022/06/28 14:34:12 - mmengine - INFO - Epoch(train) [56][3260/3757] lr: 1.000e-03 eta: 12:14:01 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.6875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7251 loss: 1.7251 2022/06/28 14:34:17 - mmengine - INFO - Epoch(train) [56][3280/3757] lr: 1.000e-03 eta: 12:13:55 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.0428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3343 loss: 1.3343 2022/06/28 14:34:23 - mmengine - INFO - Epoch(train) [56][3300/3757] lr: 1.000e-03 eta: 12:13:50 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.3376 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4873 loss: 1.4873 2022/06/28 14:34:29 - mmengine - INFO - Epoch(train) [56][3320/3757] lr: 1.000e-03 eta: 12:13:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0712 loss: 1.0712 2022/06/28 14:34:33 - mmengine - INFO - Epoch(train) [56][3340/3757] lr: 1.000e-03 eta: 12:13:39 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 7.0193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2485 loss: 1.2485 2022/06/28 14:34:38 - mmengine - INFO - Epoch(train) [56][3360/3757] lr: 1.000e-03 eta: 12:13:34 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.1173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3356 loss: 1.3356 2022/06/28 14:34:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:34:44 - mmengine - INFO - Epoch(train) [56][3380/3757] lr: 1.000e-03 eta: 12:13:29 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.5158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3358 loss: 1.3358 2022/06/28 14:34:49 - mmengine - INFO - Epoch(train) [56][3400/3757] lr: 1.000e-03 eta: 12:13:23 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.9913 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2991 loss: 1.2991 2022/06/28 14:34:55 - mmengine - INFO - Epoch(train) [56][3420/3757] lr: 1.000e-03 eta: 12:13:18 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.3728 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6438 loss: 1.6438 2022/06/28 14:35:00 - mmengine - INFO - Epoch(train) [56][3440/3757] lr: 1.000e-03 eta: 12:13:13 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 7.6141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4399 loss: 1.4399 2022/06/28 14:35:05 - mmengine - INFO - Epoch(train) [56][3460/3757] lr: 1.000e-03 eta: 12:13:08 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 7.0205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7334 loss: 1.7334 2022/06/28 14:35:10 - mmengine - INFO - Epoch(train) [56][3480/3757] lr: 1.000e-03 eta: 12:13:02 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 7.5322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6348 loss: 1.6348 2022/06/28 14:35:15 - mmengine - INFO - Epoch(train) [56][3500/3757] lr: 1.000e-03 eta: 12:12:56 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.2247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1977 loss: 1.1977 2022/06/28 14:35:20 - mmengine - INFO - Epoch(train) [56][3520/3757] lr: 1.000e-03 eta: 12:12:51 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.5109 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/06/28 14:35:26 - mmengine - INFO - Epoch(train) [56][3540/3757] lr: 1.000e-03 eta: 12:12:46 time: 0.211 data_time: 0.015 memory: 5150 grad_norm: 6.9567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4394 loss: 1.4394 2022/06/28 14:35:31 - mmengine - INFO - Epoch(train) [56][3560/3757] lr: 1.000e-03 eta: 12:12:41 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 7.0119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5512 loss: 1.5512 2022/06/28 14:35:36 - mmengine - INFO - Epoch(train) [56][3580/3757] lr: 1.000e-03 eta: 12:12:35 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 7.9565 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9516 loss: 1.9516 2022/06/28 14:35:42 - mmengine - INFO - Epoch(train) [56][3600/3757] lr: 1.000e-03 eta: 12:12:30 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.5672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2632 loss: 1.2632 2022/06/28 14:35:47 - mmengine - INFO - Epoch(train) [56][3620/3757] lr: 1.000e-03 eta: 12:12:25 time: 0.690 data_time: 0.007 memory: 5150 grad_norm: 5.5722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/06/28 14:35:52 - mmengine - INFO - Epoch(train) [56][3640/3757] lr: 1.000e-03 eta: 12:12:19 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.5490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2053 loss: 1.2053 2022/06/28 14:35:58 - mmengine - INFO - Epoch(train) [56][3660/3757] lr: 1.000e-03 eta: 12:12:14 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.6905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0710 loss: 1.0710 2022/06/28 14:36:03 - mmengine - INFO - Epoch(train) [56][3680/3757] lr: 1.000e-03 eta: 12:12:09 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 7.8116 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3861 loss: 1.3861 2022/06/28 14:36:09 - mmengine - INFO - Epoch(train) [56][3700/3757] lr: 1.000e-03 eta: 12:12:04 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.2814 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3875 loss: 1.3875 2022/06/28 14:36:14 - mmengine - INFO - Epoch(train) [56][3720/3757] lr: 1.000e-03 eta: 12:11:58 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.8670 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0525 loss: 1.0525 2022/06/28 14:36:20 - mmengine - INFO - Epoch(train) [56][3740/3757] lr: 1.000e-03 eta: 12:11:53 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 8.0629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0820 loss: 1.0820 2022/06/28 14:36:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:36:56 - mmengine - INFO - Epoch(val) [56][20/310] eta: 0:05:53 time: 1.114 data_time: 0.479 memory: 9746 2022/06/28 14:37:18 - mmengine - INFO - Epoch(val) [56][40/310] eta: 0:04:55 time: 0.938 data_time: 0.276 memory: 9746 2022/06/28 14:37:42 - mmengine - INFO - Epoch(val) [56][60/310] eta: 0:04:28 time: 1.213 data_time: 0.572 memory: 9746 2022/06/28 14:38:06 - mmengine - INFO - Epoch(val) [56][80/310] eta: 0:05:13 time: 1.102 data_time: 0.446 memory: 9746 2022/06/28 14:38:30 - mmengine - INFO - Epoch(val) [56][100/310] eta: 0:04:10 time: 2.778 data_time: 2.073 memory: 9746 2022/06/28 14:38:51 - mmengine - INFO - Epoch(val) [56][120/310] eta: 0:03:17 time: 1.162 data_time: 0.498 memory: 9746 2022/06/28 14:39:16 - mmengine - INFO - Epoch(val) [56][140/310] eta: 0:03:22 time: 1.102 data_time: 0.448 memory: 9746 2022/06/28 14:39:40 - mmengine - INFO - Epoch(val) [56][160/310] eta: 0:03:12 time: 3.020 data_time: 2.352 memory: 9746 2022/06/28 14:40:04 - mmengine - INFO - Epoch(val) [56][180/310] eta: 0:02:48 time: 0.998 data_time: 0.365 memory: 9746 2022/06/28 14:40:26 - mmengine - INFO - Epoch(val) [56][200/310] eta: 0:02:02 time: 1.113 data_time: 0.460 memory: 9746 2022/06/28 14:40:47 - mmengine - INFO - Epoch(val) [56][220/310] eta: 0:01:36 time: 0.996 data_time: 0.364 memory: 9746 2022/06/28 14:41:09 - mmengine - INFO - Epoch(val) [56][240/310] eta: 0:01:19 time: 1.024 data_time: 0.396 memory: 9746 2022/06/28 14:41:31 - mmengine - INFO - Epoch(val) [56][260/310] eta: 0:00:56 time: 1.089 data_time: 0.440 memory: 9746 2022/06/28 14:41:55 - mmengine - INFO - Epoch(val) [56][280/310] eta: 0:00:33 time: 1.783 data_time: 1.132 memory: 9746 2022/06/28 14:42:14 - mmengine - INFO - Epoch(val) [56][300/310] eta: 0:00:08 time: 0.641 data_time: 0.070 memory: 9746 2022/06/28 14:42:26 - mmengine - INFO - Epoch(val) [56][310/310] acc/top1: 0.7043 acc/top5: 0.8955 acc/mean1: 0.7042 2022/06/28 14:42:34 - mmengine - INFO - Epoch(train) [57][20/3757] lr: 1.000e-03 eta: 12:11:43 time: 0.209 data_time: 0.008 memory: 9746 grad_norm: 7.8593 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4830 loss: 1.4830 2022/06/28 14:42:40 - mmengine - INFO - Epoch(train) [57][40/3757] lr: 1.000e-03 eta: 12:11:38 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.1953 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3860 loss: 1.3860 2022/06/28 14:42:45 - mmengine - INFO - Epoch(train) [57][60/3757] lr: 1.000e-03 eta: 12:11:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.9575 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2038 loss: 1.2038 2022/06/28 14:42:51 - mmengine - INFO - Epoch(train) [57][80/3757] lr: 1.000e-03 eta: 12:11:28 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.8890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8247 loss: 1.8247 2022/06/28 14:42:56 - mmengine - INFO - Epoch(train) [57][100/3757] lr: 1.000e-03 eta: 12:11:23 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.3003 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3630 loss: 1.3630 2022/06/28 14:43:01 - mmengine - INFO - Epoch(train) [57][120/3757] lr: 1.000e-03 eta: 12:11:17 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2785 loss: 1.2785 2022/06/28 14:43:07 - mmengine - INFO - Epoch(train) [57][140/3757] lr: 1.000e-03 eta: 12:11:12 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.1265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/06/28 14:43:13 - mmengine - INFO - Epoch(train) [57][160/3757] lr: 1.000e-03 eta: 12:11:07 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.5897 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4986 loss: 1.4986 2022/06/28 14:43:18 - mmengine - INFO - Epoch(train) [57][180/3757] lr: 1.000e-03 eta: 12:11:01 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5576 loss: 1.5576 2022/06/28 14:43:23 - mmengine - INFO - Epoch(train) [57][200/3757] lr: 1.000e-03 eta: 12:10:56 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.2078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1270 loss: 1.1270 2022/06/28 14:43:29 - mmengine - INFO - Epoch(train) [57][220/3757] lr: 1.000e-03 eta: 12:10:51 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.7965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4253 loss: 1.4253 2022/06/28 14:43:34 - mmengine - INFO - Epoch(train) [57][240/3757] lr: 1.000e-03 eta: 12:10:46 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9590 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6628 loss: 1.6628 2022/06/28 14:43:39 - mmengine - INFO - Epoch(train) [57][260/3757] lr: 1.000e-03 eta: 12:10:41 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.3051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3630 loss: 1.3630 2022/06/28 14:43:45 - mmengine - INFO - Epoch(train) [57][280/3757] lr: 1.000e-03 eta: 12:10:35 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 8.2586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1069 loss: 2.1069 2022/06/28 14:43:50 - mmengine - INFO - Epoch(train) [57][300/3757] lr: 1.000e-03 eta: 12:10:30 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.2408 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2895 loss: 1.2895 2022/06/28 14:43:56 - mmengine - INFO - Epoch(train) [57][320/3757] lr: 1.000e-03 eta: 12:10:25 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.1212 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7624 loss: 1.7624 2022/06/28 14:44:01 - mmengine - INFO - Epoch(train) [57][340/3757] lr: 1.000e-03 eta: 12:10:20 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.4908 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2507 loss: 1.2507 2022/06/28 14:44:06 - mmengine - INFO - Epoch(train) [57][360/3757] lr: 1.000e-03 eta: 12:10:14 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 5.9557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6599 loss: 1.6599 2022/06/28 14:44:12 - mmengine - INFO - Epoch(train) [57][380/3757] lr: 1.000e-03 eta: 12:10:09 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.3603 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2203 loss: 1.2203 2022/06/28 14:44:17 - mmengine - INFO - Epoch(train) [57][400/3757] lr: 1.000e-03 eta: 12:10:03 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.7021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5760 loss: 1.5760 2022/06/28 14:44:22 - mmengine - INFO - Epoch(train) [57][420/3757] lr: 1.000e-03 eta: 12:09:58 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 7.2700 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2722 loss: 1.2722 2022/06/28 14:44:28 - mmengine - INFO - Epoch(train) [57][440/3757] lr: 1.000e-03 eta: 12:09:54 time: 0.295 data_time: 0.007 memory: 5150 grad_norm: 7.0247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7207 loss: 1.7207 2022/06/28 14:44:33 - mmengine - INFO - Epoch(train) [57][460/3757] lr: 1.000e-03 eta: 12:09:48 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 7.0796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4836 loss: 1.4836 2022/06/28 14:44:38 - mmengine - INFO - Epoch(train) [57][480/3757] lr: 1.000e-03 eta: 12:09:42 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/06/28 14:44:44 - mmengine - INFO - Epoch(train) [57][500/3757] lr: 1.000e-03 eta: 12:09:37 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.4490 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9746 loss: 1.9746 2022/06/28 14:44:49 - mmengine - INFO - Epoch(train) [57][520/3757] lr: 1.000e-03 eta: 12:09:32 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 7.5983 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4453 loss: 1.4453 2022/06/28 14:44:54 - mmengine - INFO - Epoch(train) [57][540/3757] lr: 1.000e-03 eta: 12:09:26 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/06/28 14:45:00 - mmengine - INFO - Epoch(train) [57][560/3757] lr: 1.000e-03 eta: 12:09:21 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.6350 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0230 loss: 1.0230 2022/06/28 14:45:05 - mmengine - INFO - Epoch(train) [57][580/3757] lr: 1.000e-03 eta: 12:09:16 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 6.8112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2370 loss: 1.2370 2022/06/28 14:45:10 - mmengine - INFO - Epoch(train) [57][600/3757] lr: 1.000e-03 eta: 12:09:11 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.9254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6377 loss: 1.6377 2022/06/28 14:45:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:45:16 - mmengine - INFO - Epoch(train) [57][620/3757] lr: 1.000e-03 eta: 12:09:05 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.5247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3382 loss: 1.3382 2022/06/28 14:45:22 - mmengine - INFO - Epoch(train) [57][640/3757] lr: 1.000e-03 eta: 12:09:00 time: 0.443 data_time: 0.010 memory: 5150 grad_norm: 6.2881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4264 loss: 1.4264 2022/06/28 14:45:26 - mmengine - INFO - Epoch(train) [57][660/3757] lr: 1.000e-03 eta: 12:08:55 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 7.7497 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4346 loss: 1.4346 2022/06/28 14:45:32 - mmengine - INFO - Epoch(train) [57][680/3757] lr: 1.000e-03 eta: 12:08:49 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.5759 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3421 loss: 1.3421 2022/06/28 14:45:38 - mmengine - INFO - Epoch(train) [57][700/3757] lr: 1.000e-03 eta: 12:08:44 time: 0.665 data_time: 0.008 memory: 5150 grad_norm: 7.4475 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3223 loss: 1.3223 2022/06/28 14:45:43 - mmengine - INFO - Epoch(train) [57][720/3757] lr: 1.000e-03 eta: 12:08:39 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.1675 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5559 loss: 1.5559 2022/06/28 14:45:48 - mmengine - INFO - Epoch(train) [57][740/3757] lr: 1.000e-03 eta: 12:08:34 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 7.0116 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3595 loss: 1.3595 2022/06/28 14:45:53 - mmengine - INFO - Epoch(train) [57][760/3757] lr: 1.000e-03 eta: 12:08:28 time: 0.434 data_time: 0.007 memory: 5150 grad_norm: 7.3274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4195 loss: 1.4195 2022/06/28 14:45:59 - mmengine - INFO - Epoch(train) [57][780/3757] lr: 1.000e-03 eta: 12:08:23 time: 0.235 data_time: 0.019 memory: 5150 grad_norm: 6.0447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2454 loss: 1.2454 2022/06/28 14:46:04 - mmengine - INFO - Epoch(train) [57][800/3757] lr: 1.000e-03 eta: 12:08:18 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.4566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/06/28 14:46:10 - mmengine - INFO - Epoch(train) [57][820/3757] lr: 1.000e-03 eta: 12:08:13 time: 0.391 data_time: 0.011 memory: 5150 grad_norm: 5.6310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7685 loss: 0.7685 2022/06/28 14:46:15 - mmengine - INFO - Epoch(train) [57][840/3757] lr: 1.000e-03 eta: 12:08:07 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 7.9116 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3176 loss: 1.3176 2022/06/28 14:46:20 - mmengine - INFO - Epoch(train) [57][860/3757] lr: 1.000e-03 eta: 12:08:02 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.3336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4640 loss: 1.4640 2022/06/28 14:46:26 - mmengine - INFO - Epoch(train) [57][880/3757] lr: 1.000e-03 eta: 12:07:57 time: 0.797 data_time: 0.029 memory: 5150 grad_norm: 6.8359 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4094 loss: 1.4094 2022/06/28 14:46:31 - mmengine - INFO - Epoch(train) [57][900/3757] lr: 1.000e-03 eta: 12:07:51 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 6.2713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3320 loss: 1.3320 2022/06/28 14:46:36 - mmengine - INFO - Epoch(train) [57][920/3757] lr: 1.000e-03 eta: 12:07:46 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 7.2072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6852 loss: 1.6852 2022/06/28 14:46:41 - mmengine - INFO - Epoch(train) [57][940/3757] lr: 1.000e-03 eta: 12:07:40 time: 0.213 data_time: 0.029 memory: 5150 grad_norm: 6.9596 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3701 loss: 1.3701 2022/06/28 14:46:47 - mmengine - INFO - Epoch(train) [57][960/3757] lr: 1.000e-03 eta: 12:07:35 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 6.6251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/06/28 14:46:52 - mmengine - INFO - Epoch(train) [57][980/3757] lr: 1.000e-03 eta: 12:07:30 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.8942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4736 loss: 1.4736 2022/06/28 14:46:57 - mmengine - INFO - Epoch(train) [57][1000/3757] lr: 1.000e-03 eta: 12:07:25 time: 0.222 data_time: 0.042 memory: 5150 grad_norm: 7.5684 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/06/28 14:47:03 - mmengine - INFO - Epoch(train) [57][1020/3757] lr: 1.000e-03 eta: 12:07:19 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.5024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3627 loss: 1.3627 2022/06/28 14:47:08 - mmengine - INFO - Epoch(train) [57][1040/3757] lr: 1.000e-03 eta: 12:07:14 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.0024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5890 loss: 1.5890 2022/06/28 14:47:13 - mmengine - INFO - Epoch(train) [57][1060/3757] lr: 1.000e-03 eta: 12:07:09 time: 0.919 data_time: 0.028 memory: 5150 grad_norm: 8.1051 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4138 loss: 1.4138 2022/06/28 14:47:18 - mmengine - INFO - Epoch(train) [57][1080/3757] lr: 1.000e-03 eta: 12:07:03 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.2971 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1106 loss: 1.1106 2022/06/28 14:47:23 - mmengine - INFO - Epoch(train) [57][1100/3757] lr: 1.000e-03 eta: 12:06:58 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.2832 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0781 loss: 1.0781 2022/06/28 14:47:30 - mmengine - INFO - Epoch(train) [57][1120/3757] lr: 1.000e-03 eta: 12:06:53 time: 1.191 data_time: 0.019 memory: 5150 grad_norm: 7.3776 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/06/28 14:47:34 - mmengine - INFO - Epoch(train) [57][1140/3757] lr: 1.000e-03 eta: 12:06:47 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.9446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4024 loss: 1.4024 2022/06/28 14:47:39 - mmengine - INFO - Epoch(train) [57][1160/3757] lr: 1.000e-03 eta: 12:06:42 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 6.0664 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6241 loss: 1.6241 2022/06/28 14:47:45 - mmengine - INFO - Epoch(train) [57][1180/3757] lr: 1.000e-03 eta: 12:06:36 time: 0.883 data_time: 0.025 memory: 5150 grad_norm: 6.6631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4272 loss: 1.4272 2022/06/28 14:47:50 - mmengine - INFO - Epoch(train) [57][1200/3757] lr: 1.000e-03 eta: 12:06:31 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.3271 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.8665 loss: 1.8665 2022/06/28 14:47:55 - mmengine - INFO - Epoch(train) [57][1220/3757] lr: 1.000e-03 eta: 12:06:26 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.2465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4111 loss: 1.4111 2022/06/28 14:48:01 - mmengine - INFO - Epoch(train) [57][1240/3757] lr: 1.000e-03 eta: 12:06:21 time: 0.840 data_time: 0.011 memory: 5150 grad_norm: 7.3514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4931 loss: 1.4931 2022/06/28 14:48:06 - mmengine - INFO - Epoch(train) [57][1260/3757] lr: 1.000e-03 eta: 12:06:15 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.4744 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1630 loss: 1.1630 2022/06/28 14:48:12 - mmengine - INFO - Epoch(train) [57][1280/3757] lr: 1.000e-03 eta: 12:06:10 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.6070 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3309 loss: 1.3309 2022/06/28 14:48:17 - mmengine - INFO - Epoch(train) [57][1300/3757] lr: 1.000e-03 eta: 12:06:05 time: 0.771 data_time: 0.011 memory: 5150 grad_norm: 6.2468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9592 loss: 0.9592 2022/06/28 14:48:22 - mmengine - INFO - Epoch(train) [57][1320/3757] lr: 1.000e-03 eta: 12:05:59 time: 0.242 data_time: 0.007 memory: 5150 grad_norm: 6.4094 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4117 loss: 1.4117 2022/06/28 14:48:27 - mmengine - INFO - Epoch(train) [57][1340/3757] lr: 1.000e-03 eta: 12:05:54 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 6.8322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4816 loss: 1.4816 2022/06/28 14:48:32 - mmengine - INFO - Epoch(train) [57][1360/3757] lr: 1.000e-03 eta: 12:05:48 time: 0.520 data_time: 0.010 memory: 5150 grad_norm: 6.8613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7697 loss: 1.7697 2022/06/28 14:48:37 - mmengine - INFO - Epoch(train) [57][1380/3757] lr: 1.000e-03 eta: 12:05:43 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.0469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3149 loss: 1.3149 2022/06/28 14:48:43 - mmengine - INFO - Epoch(train) [57][1400/3757] lr: 1.000e-03 eta: 12:05:37 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 6.4496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4003 loss: 1.4003 2022/06/28 14:48:48 - mmengine - INFO - Epoch(train) [57][1420/3757] lr: 1.000e-03 eta: 12:05:32 time: 0.878 data_time: 0.007 memory: 5150 grad_norm: 8.8070 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6203 loss: 1.6203 2022/06/28 14:48:53 - mmengine - INFO - Epoch(train) [57][1440/3757] lr: 1.000e-03 eta: 12:05:27 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.4452 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6350 loss: 1.6350 2022/06/28 14:48:58 - mmengine - INFO - Epoch(train) [57][1460/3757] lr: 1.000e-03 eta: 12:05:21 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 8.0237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4147 loss: 1.4147 2022/06/28 14:49:04 - mmengine - INFO - Epoch(train) [57][1480/3757] lr: 1.000e-03 eta: 12:05:16 time: 0.585 data_time: 0.013 memory: 5150 grad_norm: 7.4618 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1729 loss: 1.1729 2022/06/28 14:49:09 - mmengine - INFO - Epoch(train) [57][1500/3757] lr: 1.000e-03 eta: 12:05:11 time: 0.350 data_time: 0.008 memory: 5150 grad_norm: 6.4734 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2855 loss: 1.2855 2022/06/28 14:49:14 - mmengine - INFO - Epoch(train) [57][1520/3757] lr: 1.000e-03 eta: 12:05:05 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 7.9115 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3162 loss: 1.3162 2022/06/28 14:49:20 - mmengine - INFO - Epoch(train) [57][1540/3757] lr: 1.000e-03 eta: 12:05:00 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.0059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2092 loss: 1.2092 2022/06/28 14:49:25 - mmengine - INFO - Epoch(train) [57][1560/3757] lr: 1.000e-03 eta: 12:04:55 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 6.0879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2044 loss: 1.2044 2022/06/28 14:49:30 - mmengine - INFO - Epoch(train) [57][1580/3757] lr: 1.000e-03 eta: 12:04:50 time: 0.222 data_time: 0.015 memory: 5150 grad_norm: 6.8254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3156 loss: 1.3156 2022/06/28 14:49:36 - mmengine - INFO - Epoch(train) [57][1600/3757] lr: 1.000e-03 eta: 12:04:45 time: 0.509 data_time: 0.007 memory: 5150 grad_norm: 6.7779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2728 loss: 1.2728 2022/06/28 14:49:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:49:41 - mmengine - INFO - Epoch(train) [57][1620/3757] lr: 1.000e-03 eta: 12:04:39 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 5.9440 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3575 loss: 1.3575 2022/06/28 14:49:47 - mmengine - INFO - Epoch(train) [57][1640/3757] lr: 1.000e-03 eta: 12:04:34 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 7.3774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3574 loss: 1.3574 2022/06/28 14:49:53 - mmengine - INFO - Epoch(train) [57][1660/3757] lr: 1.000e-03 eta: 12:04:29 time: 0.949 data_time: 0.008 memory: 5150 grad_norm: 6.9525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/06/28 14:49:57 - mmengine - INFO - Epoch(train) [57][1680/3757] lr: 1.000e-03 eta: 12:04:23 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.5554 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0462 loss: 2.0462 2022/06/28 14:50:03 - mmengine - INFO - Epoch(train) [57][1700/3757] lr: 1.000e-03 eta: 12:04:18 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 7.8751 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/06/28 14:50:08 - mmengine - INFO - Epoch(train) [57][1720/3757] lr: 1.000e-03 eta: 12:04:13 time: 0.705 data_time: 0.008 memory: 5150 grad_norm: 7.9661 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/06/28 14:50:13 - mmengine - INFO - Epoch(train) [57][1740/3757] lr: 1.000e-03 eta: 12:04:07 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.4660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6767 loss: 1.6767 2022/06/28 14:50:18 - mmengine - INFO - Epoch(train) [57][1760/3757] lr: 1.000e-03 eta: 12:04:02 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 7.0565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4090 loss: 1.4090 2022/06/28 14:50:24 - mmengine - INFO - Epoch(train) [57][1780/3757] lr: 1.000e-03 eta: 12:03:57 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 5.9776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6775 loss: 1.6775 2022/06/28 14:50:29 - mmengine - INFO - Epoch(train) [57][1800/3757] lr: 1.000e-03 eta: 12:03:51 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.6170 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3426 loss: 1.3426 2022/06/28 14:50:34 - mmengine - INFO - Epoch(train) [57][1820/3757] lr: 1.000e-03 eta: 12:03:46 time: 0.206 data_time: 0.024 memory: 5150 grad_norm: 7.4079 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3515 loss: 1.3515 2022/06/28 14:50:41 - mmengine - INFO - Epoch(train) [57][1840/3757] lr: 1.000e-03 eta: 12:03:41 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.6208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/28 14:50:45 - mmengine - INFO - Epoch(train) [57][1860/3757] lr: 1.000e-03 eta: 12:03:35 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.8302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8656 loss: 1.8656 2022/06/28 14:50:50 - mmengine - INFO - Epoch(train) [57][1880/3757] lr: 1.000e-03 eta: 12:03:30 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.8450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4548 loss: 1.4548 2022/06/28 14:50:56 - mmengine - INFO - Epoch(train) [57][1900/3757] lr: 1.000e-03 eta: 12:03:24 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/06/28 14:51:01 - mmengine - INFO - Epoch(train) [57][1920/3757] lr: 1.000e-03 eta: 12:03:19 time: 0.322 data_time: 0.007 memory: 5150 grad_norm: 8.0291 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9533 loss: 0.9533 2022/06/28 14:51:06 - mmengine - INFO - Epoch(train) [57][1940/3757] lr: 1.000e-03 eta: 12:03:14 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 6.8854 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8878 loss: 1.8878 2022/06/28 14:51:11 - mmengine - INFO - Epoch(train) [57][1960/3757] lr: 1.000e-03 eta: 12:03:08 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 5.9404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3023 loss: 1.3023 2022/06/28 14:51:17 - mmengine - INFO - Epoch(train) [57][1980/3757] lr: 1.000e-03 eta: 12:03:04 time: 0.976 data_time: 0.008 memory: 5150 grad_norm: 7.2440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4953 loss: 1.4953 2022/06/28 14:51:22 - mmengine - INFO - Epoch(train) [57][2000/3757] lr: 1.000e-03 eta: 12:02:58 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.5721 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4749 loss: 1.4749 2022/06/28 14:51:27 - mmengine - INFO - Epoch(train) [57][2020/3757] lr: 1.000e-03 eta: 12:02:52 time: 0.234 data_time: 0.012 memory: 5150 grad_norm: 6.9171 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2085 loss: 1.2085 2022/06/28 14:51:33 - mmengine - INFO - Epoch(train) [57][2040/3757] lr: 1.000e-03 eta: 12:02:48 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.4867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/06/28 14:51:38 - mmengine - INFO - Epoch(train) [57][2060/3757] lr: 1.000e-03 eta: 12:02:42 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.6412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2829 loss: 1.2829 2022/06/28 14:51:43 - mmengine - INFO - Epoch(train) [57][2080/3757] lr: 1.000e-03 eta: 12:02:37 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 7.2831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3921 loss: 1.3921 2022/06/28 14:51:49 - mmengine - INFO - Epoch(train) [57][2100/3757] lr: 1.000e-03 eta: 12:02:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.9715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2106 loss: 1.2106 2022/06/28 14:51:54 - mmengine - INFO - Epoch(train) [57][2120/3757] lr: 1.000e-03 eta: 12:02:26 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.7951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2982 loss: 1.2982 2022/06/28 14:51:59 - mmengine - INFO - Epoch(train) [57][2140/3757] lr: 1.000e-03 eta: 12:02:21 time: 0.227 data_time: 0.030 memory: 5150 grad_norm: 7.0909 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7426 loss: 1.7426 2022/06/28 14:52:05 - mmengine - INFO - Epoch(train) [57][2160/3757] lr: 1.000e-03 eta: 12:02:15 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 7.0126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5362 loss: 1.5362 2022/06/28 14:52:09 - mmengine - INFO - Epoch(train) [57][2180/3757] lr: 1.000e-03 eta: 12:02:10 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 8.4246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2030 loss: 1.2030 2022/06/28 14:52:15 - mmengine - INFO - Epoch(train) [57][2200/3757] lr: 1.000e-03 eta: 12:02:04 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.5783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/06/28 14:52:20 - mmengine - INFO - Epoch(train) [57][2220/3757] lr: 1.000e-03 eta: 12:01:59 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 7.2372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7700 loss: 1.7700 2022/06/28 14:52:25 - mmengine - INFO - Epoch(train) [57][2240/3757] lr: 1.000e-03 eta: 12:01:54 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 7.0328 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3619 loss: 1.3619 2022/06/28 14:52:31 - mmengine - INFO - Epoch(train) [57][2260/3757] lr: 1.000e-03 eta: 12:01:48 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 6.8772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3183 loss: 1.3183 2022/06/28 14:52:36 - mmengine - INFO - Epoch(train) [57][2280/3757] lr: 1.000e-03 eta: 12:01:43 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.9502 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0378 loss: 1.0378 2022/06/28 14:52:41 - mmengine - INFO - Epoch(train) [57][2300/3757] lr: 1.000e-03 eta: 12:01:37 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 7.6203 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4639 loss: 1.4639 2022/06/28 14:52:47 - mmengine - INFO - Epoch(train) [57][2320/3757] lr: 1.000e-03 eta: 12:01:33 time: 0.784 data_time: 0.008 memory: 5150 grad_norm: 7.7449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6209 loss: 1.6209 2022/06/28 14:52:52 - mmengine - INFO - Epoch(train) [57][2340/3757] lr: 1.000e-03 eta: 12:01:27 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 7.8168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5727 loss: 1.5727 2022/06/28 14:52:58 - mmengine - INFO - Epoch(train) [57][2360/3757] lr: 1.000e-03 eta: 12:01:22 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.5859 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/06/28 14:53:03 - mmengine - INFO - Epoch(train) [57][2380/3757] lr: 1.000e-03 eta: 12:01:16 time: 0.224 data_time: 0.013 memory: 5150 grad_norm: 7.4754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/06/28 14:53:08 - mmengine - INFO - Epoch(train) [57][2400/3757] lr: 1.000e-03 eta: 12:01:11 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.4312 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3530 loss: 1.3530 2022/06/28 14:53:13 - mmengine - INFO - Epoch(train) [57][2420/3757] lr: 1.000e-03 eta: 12:01:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2216 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1244 loss: 1.1244 2022/06/28 14:53:18 - mmengine - INFO - Epoch(train) [57][2440/3757] lr: 1.000e-03 eta: 12:01:00 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 6.7376 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/06/28 14:53:24 - mmengine - INFO - Epoch(train) [57][2460/3757] lr: 1.000e-03 eta: 12:00:55 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.8529 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4086 loss: 1.4086 2022/06/28 14:53:29 - mmengine - INFO - Epoch(train) [57][2480/3757] lr: 1.000e-03 eta: 12:00:49 time: 0.391 data_time: 0.008 memory: 5150 grad_norm: 7.0133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4546 loss: 1.4546 2022/06/28 14:53:34 - mmengine - INFO - Epoch(train) [57][2500/3757] lr: 1.000e-03 eta: 12:00:44 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.5907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4342 loss: 1.4342 2022/06/28 14:53:39 - mmengine - INFO - Epoch(train) [57][2520/3757] lr: 1.000e-03 eta: 12:00:39 time: 0.248 data_time: 0.016 memory: 5150 grad_norm: 7.7525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/06/28 14:53:44 - mmengine - INFO - Epoch(train) [57][2540/3757] lr: 1.000e-03 eta: 12:00:33 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 7.1601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4870 loss: 1.4870 2022/06/28 14:53:50 - mmengine - INFO - Epoch(train) [57][2560/3757] lr: 1.000e-03 eta: 12:00:28 time: 0.218 data_time: 0.013 memory: 5150 grad_norm: 7.9002 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4666 loss: 1.4666 2022/06/28 14:53:55 - mmengine - INFO - Epoch(train) [57][2580/3757] lr: 1.000e-03 eta: 12:00:23 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 5.8511 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4957 loss: 1.4957 2022/06/28 14:54:00 - mmengine - INFO - Epoch(train) [57][2600/3757] lr: 1.000e-03 eta: 12:00:17 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 7.2655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0457 loss: 1.0457 2022/06/28 14:54:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:54:06 - mmengine - INFO - Epoch(train) [57][2620/3757] lr: 1.000e-03 eta: 12:00:12 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.7604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4496 loss: 1.4496 2022/06/28 14:54:11 - mmengine - INFO - Epoch(train) [57][2640/3757] lr: 1.000e-03 eta: 12:00:07 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.0181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2730 loss: 1.2730 2022/06/28 14:54:16 - mmengine - INFO - Epoch(train) [57][2660/3757] lr: 1.000e-03 eta: 12:00:01 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 8.1936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/06/28 14:54:21 - mmengine - INFO - Epoch(train) [57][2680/3757] lr: 1.000e-03 eta: 11:59:56 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.7332 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5526 loss: 1.5526 2022/06/28 14:54:27 - mmengine - INFO - Epoch(train) [57][2700/3757] lr: 1.000e-03 eta: 11:59:51 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.9770 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4401 loss: 1.4401 2022/06/28 14:54:32 - mmengine - INFO - Epoch(train) [57][2720/3757] lr: 1.000e-03 eta: 11:59:45 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 8.2576 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1847 loss: 1.1847 2022/06/28 14:54:37 - mmengine - INFO - Epoch(train) [57][2740/3757] lr: 1.000e-03 eta: 11:59:40 time: 0.207 data_time: 0.021 memory: 5150 grad_norm: 8.7373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8199 loss: 1.8199 2022/06/28 14:54:43 - mmengine - INFO - Epoch(train) [57][2760/3757] lr: 1.000e-03 eta: 11:59:34 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 7.2498 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4188 loss: 1.4188 2022/06/28 14:54:47 - mmengine - INFO - Epoch(train) [57][2780/3757] lr: 1.000e-03 eta: 11:59:29 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 7.1782 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4048 loss: 1.4048 2022/06/28 14:54:53 - mmengine - INFO - Epoch(train) [57][2800/3757] lr: 1.000e-03 eta: 11:59:23 time: 0.215 data_time: 0.014 memory: 5150 grad_norm: 6.8105 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7791 loss: 1.7791 2022/06/28 14:54:58 - mmengine - INFO - Epoch(train) [57][2820/3757] lr: 1.000e-03 eta: 11:59:18 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 7.9869 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2629 loss: 1.2629 2022/06/28 14:55:04 - mmengine - INFO - Epoch(train) [57][2840/3757] lr: 1.000e-03 eta: 11:59:13 time: 0.233 data_time: 0.019 memory: 5150 grad_norm: 8.0848 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4809 loss: 1.4809 2022/06/28 14:55:09 - mmengine - INFO - Epoch(train) [57][2860/3757] lr: 1.000e-03 eta: 11:59:07 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 7.3036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5100 loss: 1.5100 2022/06/28 14:55:14 - mmengine - INFO - Epoch(train) [57][2880/3757] lr: 1.000e-03 eta: 11:59:02 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.9878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/06/28 14:55:20 - mmengine - INFO - Epoch(train) [57][2900/3757] lr: 1.000e-03 eta: 11:58:57 time: 0.213 data_time: 0.021 memory: 5150 grad_norm: 7.1153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1320 loss: 1.1320 2022/06/28 14:55:25 - mmengine - INFO - Epoch(train) [57][2920/3757] lr: 1.000e-03 eta: 11:58:51 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.2061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1270 loss: 1.1270 2022/06/28 14:55:30 - mmengine - INFO - Epoch(train) [57][2940/3757] lr: 1.000e-03 eta: 11:58:46 time: 0.424 data_time: 0.008 memory: 5150 grad_norm: 7.9251 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4161 loss: 1.4161 2022/06/28 14:55:35 - mmengine - INFO - Epoch(train) [57][2960/3757] lr: 1.000e-03 eta: 11:58:41 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.9307 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5057 loss: 1.5057 2022/06/28 14:55:41 - mmengine - INFO - Epoch(train) [57][2980/3757] lr: 1.000e-03 eta: 11:58:36 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2642 loss: 1.2642 2022/06/28 14:55:46 - mmengine - INFO - Epoch(train) [57][3000/3757] lr: 1.000e-03 eta: 11:58:30 time: 0.791 data_time: 0.010 memory: 5150 grad_norm: 7.3950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6026 loss: 1.6026 2022/06/28 14:55:51 - mmengine - INFO - Epoch(train) [57][3020/3757] lr: 1.000e-03 eta: 11:58:25 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 6.5128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1696 loss: 2.1696 2022/06/28 14:55:56 - mmengine - INFO - Epoch(train) [57][3040/3757] lr: 1.000e-03 eta: 11:58:19 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.0414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9756 loss: 0.9756 2022/06/28 14:56:01 - mmengine - INFO - Epoch(train) [57][3060/3757] lr: 1.000e-03 eta: 11:58:14 time: 0.536 data_time: 0.011 memory: 5150 grad_norm: 6.6720 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2184 loss: 1.2184 2022/06/28 14:56:07 - mmengine - INFO - Epoch(train) [57][3080/3757] lr: 1.000e-03 eta: 11:58:09 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 7.9986 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2508 loss: 1.2508 2022/06/28 14:56:12 - mmengine - INFO - Epoch(train) [57][3100/3757] lr: 1.000e-03 eta: 11:58:03 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 5.9402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7461 loss: 1.7461 2022/06/28 14:56:17 - mmengine - INFO - Epoch(train) [57][3120/3757] lr: 1.000e-03 eta: 11:57:58 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 7.0750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0561 loss: 1.0561 2022/06/28 14:56:23 - mmengine - INFO - Epoch(train) [57][3140/3757] lr: 1.000e-03 eta: 11:57:53 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.3481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/06/28 14:56:28 - mmengine - INFO - Epoch(train) [57][3160/3757] lr: 1.000e-03 eta: 11:57:47 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 8.0361 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7520 loss: 1.7520 2022/06/28 14:56:33 - mmengine - INFO - Epoch(train) [57][3180/3757] lr: 1.000e-03 eta: 11:57:42 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.9074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0971 loss: 1.0971 2022/06/28 14:56:38 - mmengine - INFO - Epoch(train) [57][3200/3757] lr: 1.000e-03 eta: 11:57:37 time: 0.215 data_time: 0.015 memory: 5150 grad_norm: 7.1385 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/06/28 14:56:44 - mmengine - INFO - Epoch(train) [57][3220/3757] lr: 1.000e-03 eta: 11:57:31 time: 0.211 data_time: 0.025 memory: 5150 grad_norm: 7.0189 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4168 loss: 1.4168 2022/06/28 14:56:49 - mmengine - INFO - Epoch(train) [57][3240/3757] lr: 1.000e-03 eta: 11:57:25 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3745 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3741 loss: 1.3741 2022/06/28 14:56:54 - mmengine - INFO - Epoch(train) [57][3260/3757] lr: 1.000e-03 eta: 11:57:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.9434 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9705 loss: 0.9705 2022/06/28 14:57:00 - mmengine - INFO - Epoch(train) [57][3280/3757] lr: 1.000e-03 eta: 11:57:15 time: 0.721 data_time: 0.021 memory: 5150 grad_norm: 6.2032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0943 loss: 1.0943 2022/06/28 14:57:05 - mmengine - INFO - Epoch(train) [57][3300/3757] lr: 1.000e-03 eta: 11:57:10 time: 0.220 data_time: 0.013 memory: 5150 grad_norm: 7.0086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5678 loss: 1.5678 2022/06/28 14:57:10 - mmengine - INFO - Epoch(train) [57][3320/3757] lr: 1.000e-03 eta: 11:57:04 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 7.5891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3178 loss: 1.3178 2022/06/28 14:57:15 - mmengine - INFO - Epoch(train) [57][3340/3757] lr: 1.000e-03 eta: 11:56:59 time: 0.736 data_time: 0.007 memory: 5150 grad_norm: 6.1225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5937 loss: 1.5937 2022/06/28 14:57:20 - mmengine - INFO - Epoch(train) [57][3360/3757] lr: 1.000e-03 eta: 11:56:53 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 6.5998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3646 loss: 1.3646 2022/06/28 14:57:26 - mmengine - INFO - Epoch(train) [57][3380/3757] lr: 1.000e-03 eta: 11:56:48 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 5.3986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/06/28 14:57:32 - mmengine - INFO - Epoch(train) [57][3400/3757] lr: 1.000e-03 eta: 11:56:43 time: 0.589 data_time: 0.011 memory: 5150 grad_norm: 7.2114 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3421 loss: 1.3421 2022/06/28 14:57:37 - mmengine - INFO - Epoch(train) [57][3420/3757] lr: 1.000e-03 eta: 11:56:38 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 6.3088 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/06/28 14:57:42 - mmengine - INFO - Epoch(train) [57][3440/3757] lr: 1.000e-03 eta: 11:56:32 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.2057 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5098 loss: 1.5098 2022/06/28 14:57:47 - mmengine - INFO - Epoch(train) [57][3460/3757] lr: 1.000e-03 eta: 11:56:27 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3598 loss: 1.3598 2022/06/28 14:57:53 - mmengine - INFO - Epoch(train) [57][3480/3757] lr: 1.000e-03 eta: 11:56:22 time: 0.209 data_time: 0.032 memory: 5150 grad_norm: 7.8538 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5187 loss: 1.5187 2022/06/28 14:57:58 - mmengine - INFO - Epoch(train) [57][3500/3757] lr: 1.000e-03 eta: 11:56:17 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 6.8945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4072 loss: 1.4072 2022/06/28 14:58:03 - mmengine - INFO - Epoch(train) [57][3520/3757] lr: 1.000e-03 eta: 11:56:11 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 5.8666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6149 loss: 1.6149 2022/06/28 14:58:09 - mmengine - INFO - Epoch(train) [57][3540/3757] lr: 1.000e-03 eta: 11:56:06 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.5456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8453 loss: 1.8453 2022/06/28 14:58:13 - mmengine - INFO - Epoch(train) [57][3560/3757] lr: 1.000e-03 eta: 11:56:00 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 6.2309 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4770 loss: 1.4770 2022/06/28 14:58:19 - mmengine - INFO - Epoch(train) [57][3580/3757] lr: 1.000e-03 eta: 11:55:55 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 6.5057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2478 loss: 1.2478 2022/06/28 14:58:24 - mmengine - INFO - Epoch(train) [57][3600/3757] lr: 1.000e-03 eta: 11:55:50 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 8.0170 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2722 loss: 1.2722 2022/06/28 14:58:26 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:58:29 - mmengine - INFO - Epoch(train) [57][3620/3757] lr: 1.000e-03 eta: 11:55:44 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.3126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4465 loss: 1.4465 2022/06/28 14:58:34 - mmengine - INFO - Epoch(train) [57][3640/3757] lr: 1.000e-03 eta: 11:55:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.4043 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9881 loss: 0.9881 2022/06/28 14:58:39 - mmengine - INFO - Epoch(train) [57][3660/3757] lr: 1.000e-03 eta: 11:55:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5075 loss: 1.5075 2022/06/28 14:58:44 - mmengine - INFO - Epoch(train) [57][3680/3757] lr: 1.000e-03 eta: 11:55:28 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 8.5182 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/06/28 14:58:50 - mmengine - INFO - Epoch(train) [57][3700/3757] lr: 1.000e-03 eta: 11:55:22 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3897 loss: 1.3897 2022/06/28 14:58:55 - mmengine - INFO - Epoch(train) [57][3720/3757] lr: 1.000e-03 eta: 11:55:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.6905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/06/28 14:59:00 - mmengine - INFO - Epoch(train) [57][3740/3757] lr: 1.000e-03 eta: 11:55:12 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2632 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2938 loss: 1.2938 2022/06/28 14:59:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 14:59:37 - mmengine - INFO - Epoch(val) [57][20/310] eta: 0:05:59 time: 1.058 data_time: 0.406 memory: 9746 2022/06/28 14:59:59 - mmengine - INFO - Epoch(val) [57][40/310] eta: 0:04:50 time: 1.117 data_time: 0.451 memory: 9746 2022/06/28 15:00:23 - mmengine - INFO - Epoch(val) [57][60/310] eta: 0:04:18 time: 1.114 data_time: 0.468 memory: 9746 2022/06/28 15:00:46 - mmengine - INFO - Epoch(val) [57][80/310] eta: 0:04:37 time: 1.075 data_time: 0.426 memory: 9746 2022/06/28 15:01:10 - mmengine - INFO - Epoch(val) [57][100/310] eta: 0:04:15 time: 2.833 data_time: 2.159 memory: 9746 2022/06/28 15:01:30 - mmengine - INFO - Epoch(val) [57][120/310] eta: 0:03:16 time: 1.101 data_time: 0.452 memory: 9746 2022/06/28 15:01:55 - mmengine - INFO - Epoch(val) [57][140/310] eta: 0:03:13 time: 0.907 data_time: 0.266 memory: 9746 2022/06/28 15:02:20 - mmengine - INFO - Epoch(val) [57][160/310] eta: 0:03:14 time: 3.269 data_time: 2.569 memory: 9746 2022/06/28 15:02:43 - mmengine - INFO - Epoch(val) [57][180/310] eta: 0:02:43 time: 0.888 data_time: 0.237 memory: 9746 2022/06/28 15:03:05 - mmengine - INFO - Epoch(val) [57][200/310] eta: 0:02:05 time: 1.053 data_time: 0.418 memory: 9746 2022/06/28 15:03:27 - mmengine - INFO - Epoch(val) [57][220/310] eta: 0:01:37 time: 1.083 data_time: 0.427 memory: 9746 2022/06/28 15:03:49 - mmengine - INFO - Epoch(val) [57][240/310] eta: 0:01:16 time: 1.067 data_time: 0.420 memory: 9746 2022/06/28 15:04:12 - mmengine - INFO - Epoch(val) [57][260/310] eta: 0:01:00 time: 1.003 data_time: 0.358 memory: 9746 2022/06/28 15:04:35 - mmengine - INFO - Epoch(val) [57][280/310] eta: 0:00:32 time: 1.363 data_time: 0.708 memory: 9746 2022/06/28 15:04:54 - mmengine - INFO - Epoch(val) [57][300/310] eta: 0:00:08 time: 0.662 data_time: 0.086 memory: 9746 2022/06/28 15:05:07 - mmengine - INFO - Epoch(val) [57][310/310] acc/top1: 0.7072 acc/top5: 0.8976 acc/mean1: 0.7071 2022/06/28 15:05:15 - mmengine - INFO - Epoch(train) [58][20/3757] lr: 1.000e-03 eta: 11:55:02 time: 0.201 data_time: 0.007 memory: 9746 grad_norm: 7.3762 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8513 loss: 1.8513 2022/06/28 15:05:21 - mmengine - INFO - Epoch(train) [58][40/3757] lr: 1.000e-03 eta: 11:54:57 time: 0.421 data_time: 0.007 memory: 5150 grad_norm: 7.0074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4981 loss: 1.4981 2022/06/28 15:05:25 - mmengine - INFO - Epoch(train) [58][60/3757] lr: 1.000e-03 eta: 11:54:51 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.1913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7266 loss: 1.7266 2022/06/28 15:05:31 - mmengine - INFO - Epoch(train) [58][80/3757] lr: 1.000e-03 eta: 11:54:46 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.8599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2896 loss: 1.2896 2022/06/28 15:05:37 - mmengine - INFO - Epoch(train) [58][100/3757] lr: 1.000e-03 eta: 11:54:41 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.5285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/06/28 15:05:42 - mmengine - INFO - Epoch(train) [58][120/3757] lr: 1.000e-03 eta: 11:54:36 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.9970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3619 loss: 1.3619 2022/06/28 15:05:47 - mmengine - INFO - Epoch(train) [58][140/3757] lr: 1.000e-03 eta: 11:54:30 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.5058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5251 loss: 1.5251 2022/06/28 15:05:53 - mmengine - INFO - Epoch(train) [58][160/3757] lr: 1.000e-03 eta: 11:54:25 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.9820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6838 loss: 1.6838 2022/06/28 15:05:57 - mmengine - INFO - Epoch(train) [58][180/3757] lr: 1.000e-03 eta: 11:54:20 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.5635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0333 loss: 1.0333 2022/06/28 15:06:03 - mmengine - INFO - Epoch(train) [58][200/3757] lr: 1.000e-03 eta: 11:54:15 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 6.7575 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9574 loss: 0.9574 2022/06/28 15:06:09 - mmengine - INFO - Epoch(train) [58][220/3757] lr: 1.000e-03 eta: 11:54:09 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.5778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7665 loss: 1.7665 2022/06/28 15:06:14 - mmengine - INFO - Epoch(train) [58][240/3757] lr: 1.000e-03 eta: 11:54:04 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 6.4353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1240 loss: 1.1240 2022/06/28 15:06:19 - mmengine - INFO - Epoch(train) [58][260/3757] lr: 1.000e-03 eta: 11:53:58 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.6124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/06/28 15:06:24 - mmengine - INFO - Epoch(train) [58][280/3757] lr: 1.000e-03 eta: 11:53:53 time: 0.332 data_time: 0.007 memory: 5150 grad_norm: 7.2945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8131 loss: 1.8131 2022/06/28 15:06:29 - mmengine - INFO - Epoch(train) [58][300/3757] lr: 1.000e-03 eta: 11:53:48 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.2957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1608 loss: 1.1608 2022/06/28 15:06:35 - mmengine - INFO - Epoch(train) [58][320/3757] lr: 1.000e-03 eta: 11:53:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.8909 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5303 loss: 1.5303 2022/06/28 15:06:41 - mmengine - INFO - Epoch(train) [58][340/3757] lr: 1.000e-03 eta: 11:53:38 time: 0.504 data_time: 0.007 memory: 5150 grad_norm: 6.6800 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3065 loss: 1.3065 2022/06/28 15:06:46 - mmengine - INFO - Epoch(train) [58][360/3757] lr: 1.000e-03 eta: 11:53:32 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.5826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1369 loss: 1.1369 2022/06/28 15:06:51 - mmengine - INFO - Epoch(train) [58][380/3757] lr: 1.000e-03 eta: 11:53:27 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.4588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3078 loss: 1.3078 2022/06/28 15:06:57 - mmengine - INFO - Epoch(train) [58][400/3757] lr: 1.000e-03 eta: 11:53:22 time: 0.711 data_time: 0.007 memory: 5150 grad_norm: 6.2729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4348 loss: 1.4348 2022/06/28 15:07:01 - mmengine - INFO - Epoch(train) [58][420/3757] lr: 1.000e-03 eta: 11:53:16 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.0723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/06/28 15:07:07 - mmengine - INFO - Epoch(train) [58][440/3757] lr: 1.000e-03 eta: 11:53:11 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 7.1633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4991 loss: 1.4991 2022/06/28 15:07:12 - mmengine - INFO - Epoch(train) [58][460/3757] lr: 1.000e-03 eta: 11:53:05 time: 0.509 data_time: 0.017 memory: 5150 grad_norm: 6.7331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/06/28 15:07:17 - mmengine - INFO - Epoch(train) [58][480/3757] lr: 1.000e-03 eta: 11:53:00 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 5.9724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5549 loss: 1.5549 2022/06/28 15:07:23 - mmengine - INFO - Epoch(train) [58][500/3757] lr: 1.000e-03 eta: 11:52:55 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.2171 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8232 loss: 1.8232 2022/06/28 15:07:28 - mmengine - INFO - Epoch(train) [58][520/3757] lr: 1.000e-03 eta: 11:52:49 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 8.2065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0429 loss: 1.0429 2022/06/28 15:07:34 - mmengine - INFO - Epoch(train) [58][540/3757] lr: 1.000e-03 eta: 11:52:44 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 7.1784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/06/28 15:07:39 - mmengine - INFO - Epoch(train) [58][560/3757] lr: 1.000e-03 eta: 11:52:39 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.1950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5704 loss: 1.5704 2022/06/28 15:07:44 - mmengine - INFO - Epoch(train) [58][580/3757] lr: 1.000e-03 eta: 11:52:34 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 6.1152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/06/28 15:07:49 - mmengine - INFO - Epoch(train) [58][600/3757] lr: 1.000e-03 eta: 11:52:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2300 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/06/28 15:07:55 - mmengine - INFO - Epoch(train) [58][620/3757] lr: 1.000e-03 eta: 11:52:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.4723 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0302 loss: 1.0302 2022/06/28 15:08:00 - mmengine - INFO - Epoch(train) [58][640/3757] lr: 1.000e-03 eta: 11:52:18 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 7.9413 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4240 loss: 1.4240 2022/06/28 15:08:05 - mmengine - INFO - Epoch(train) [58][660/3757] lr: 1.000e-03 eta: 11:52:12 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.4818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/06/28 15:08:11 - mmengine - INFO - Epoch(train) [58][680/3757] lr: 1.000e-03 eta: 11:52:07 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 6.8740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/06/28 15:08:16 - mmengine - INFO - Epoch(train) [58][700/3757] lr: 1.000e-03 eta: 11:52:02 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.6250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6258 loss: 1.6258 2022/06/28 15:08:22 - mmengine - INFO - Epoch(train) [58][720/3757] lr: 1.000e-03 eta: 11:51:56 time: 0.402 data_time: 0.010 memory: 5150 grad_norm: 7.5062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6283 loss: 1.6283 2022/06/28 15:08:27 - mmengine - INFO - Epoch(train) [58][740/3757] lr: 1.000e-03 eta: 11:51:51 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.8136 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5105 loss: 1.5105 2022/06/28 15:08:33 - mmengine - INFO - Epoch(train) [58][760/3757] lr: 1.000e-03 eta: 11:51:46 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.4410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/06/28 15:08:38 - mmengine - INFO - Epoch(train) [58][780/3757] lr: 1.000e-03 eta: 11:51:40 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.2847 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3611 loss: 1.3611 2022/06/28 15:08:43 - mmengine - INFO - Epoch(train) [58][800/3757] lr: 1.000e-03 eta: 11:51:35 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.0034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4943 loss: 1.4943 2022/06/28 15:08:48 - mmengine - INFO - Epoch(train) [58][820/3757] lr: 1.000e-03 eta: 11:51:30 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 6.1341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1737 loss: 1.1737 2022/06/28 15:08:53 - mmengine - INFO - Epoch(train) [58][840/3757] lr: 1.000e-03 eta: 11:51:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.4455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4128 loss: 1.4128 2022/06/28 15:08:56 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:08:58 - mmengine - INFO - Epoch(train) [58][860/3757] lr: 1.000e-03 eta: 11:51:19 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7891 loss: 1.7891 2022/06/28 15:09:04 - mmengine - INFO - Epoch(train) [58][880/3757] lr: 1.000e-03 eta: 11:51:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.0268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/06/28 15:09:09 - mmengine - INFO - Epoch(train) [58][900/3757] lr: 1.000e-03 eta: 11:51:08 time: 0.430 data_time: 0.008 memory: 5150 grad_norm: 7.8410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4332 loss: 1.4332 2022/06/28 15:09:15 - mmengine - INFO - Epoch(train) [58][920/3757] lr: 1.000e-03 eta: 11:51:03 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.0852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4200 loss: 1.4200 2022/06/28 15:09:20 - mmengine - INFO - Epoch(train) [58][940/3757] lr: 1.000e-03 eta: 11:50:58 time: 0.197 data_time: 0.006 memory: 5150 grad_norm: 7.5080 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2757 loss: 1.2757 2022/06/28 15:09:26 - mmengine - INFO - Epoch(train) [58][960/3757] lr: 1.000e-03 eta: 11:50:53 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.3199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9719 loss: 0.9719 2022/06/28 15:09:31 - mmengine - INFO - Epoch(train) [58][980/3757] lr: 1.000e-03 eta: 11:50:48 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.3506 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3249 loss: 1.3249 2022/06/28 15:09:36 - mmengine - INFO - Epoch(train) [58][1000/3757] lr: 1.000e-03 eta: 11:50:42 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.6703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4916 loss: 1.4916 2022/06/28 15:09:42 - mmengine - INFO - Epoch(train) [58][1020/3757] lr: 1.000e-03 eta: 11:50:37 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 7.5073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5593 loss: 1.5593 2022/06/28 15:09:47 - mmengine - INFO - Epoch(train) [58][1040/3757] lr: 1.000e-03 eta: 11:50:32 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9741 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2838 loss: 1.2838 2022/06/28 15:09:52 - mmengine - INFO - Epoch(train) [58][1060/3757] lr: 1.000e-03 eta: 11:50:26 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.8434 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4798 loss: 1.4798 2022/06/28 15:09:58 - mmengine - INFO - Epoch(train) [58][1080/3757] lr: 1.000e-03 eta: 11:50:21 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.3230 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6860 loss: 1.6860 2022/06/28 15:10:04 - mmengine - INFO - Epoch(train) [58][1100/3757] lr: 1.000e-03 eta: 11:50:16 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 5.6395 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2132 loss: 1.2132 2022/06/28 15:10:08 - mmengine - INFO - Epoch(train) [58][1120/3757] lr: 1.000e-03 eta: 11:50:10 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.5372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3732 loss: 1.3732 2022/06/28 15:10:14 - mmengine - INFO - Epoch(train) [58][1140/3757] lr: 1.000e-03 eta: 11:50:05 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.3512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1728 loss: 1.1728 2022/06/28 15:10:19 - mmengine - INFO - Epoch(train) [58][1160/3757] lr: 1.000e-03 eta: 11:49:59 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2284 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6107 loss: 1.6107 2022/06/28 15:10:24 - mmengine - INFO - Epoch(train) [58][1180/3757] lr: 1.000e-03 eta: 11:49:54 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.0410 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5252 loss: 1.5252 2022/06/28 15:10:29 - mmengine - INFO - Epoch(train) [58][1200/3757] lr: 1.000e-03 eta: 11:49:49 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 7.0617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/06/28 15:10:35 - mmengine - INFO - Epoch(train) [58][1220/3757] lr: 1.000e-03 eta: 11:49:44 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.7176 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5245 loss: 1.5245 2022/06/28 15:10:40 - mmengine - INFO - Epoch(train) [58][1240/3757] lr: 1.000e-03 eta: 11:49:38 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/06/28 15:10:46 - mmengine - INFO - Epoch(train) [58][1260/3757] lr: 1.000e-03 eta: 11:49:33 time: 0.569 data_time: 0.013 memory: 5150 grad_norm: 7.2102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6953 loss: 1.6953 2022/06/28 15:10:51 - mmengine - INFO - Epoch(train) [58][1280/3757] lr: 1.000e-03 eta: 11:49:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.5383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0937 loss: 1.0937 2022/06/28 15:10:56 - mmengine - INFO - Epoch(train) [58][1300/3757] lr: 1.000e-03 eta: 11:49:22 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.2618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7360 loss: 1.7360 2022/06/28 15:11:02 - mmengine - INFO - Epoch(train) [58][1320/3757] lr: 1.000e-03 eta: 11:49:17 time: 0.264 data_time: 0.042 memory: 5150 grad_norm: 7.9402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4317 loss: 1.4317 2022/06/28 15:11:07 - mmengine - INFO - Epoch(train) [58][1340/3757] lr: 1.000e-03 eta: 11:49:12 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.9881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/06/28 15:11:12 - mmengine - INFO - Epoch(train) [58][1360/3757] lr: 1.000e-03 eta: 11:49:07 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.5041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/06/28 15:11:17 - mmengine - INFO - Epoch(train) [58][1380/3757] lr: 1.000e-03 eta: 11:49:01 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.7258 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4669 loss: 1.4669 2022/06/28 15:11:23 - mmengine - INFO - Epoch(train) [58][1400/3757] lr: 1.000e-03 eta: 11:48:56 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.9017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2384 loss: 1.2384 2022/06/28 15:11:28 - mmengine - INFO - Epoch(train) [58][1420/3757] lr: 1.000e-03 eta: 11:48:50 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.6870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2944 loss: 1.2944 2022/06/28 15:11:33 - mmengine - INFO - Epoch(train) [58][1440/3757] lr: 1.000e-03 eta: 11:48:45 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.4923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4506 loss: 1.4506 2022/06/28 15:11:38 - mmengine - INFO - Epoch(train) [58][1460/3757] lr: 1.000e-03 eta: 11:48:40 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.5622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1947 loss: 1.1947 2022/06/28 15:11:43 - mmengine - INFO - Epoch(train) [58][1480/3757] lr: 1.000e-03 eta: 11:48:34 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.4116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5659 loss: 1.5659 2022/06/28 15:11:49 - mmengine - INFO - Epoch(train) [58][1500/3757] lr: 1.000e-03 eta: 11:48:29 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.7719 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3248 loss: 1.3248 2022/06/28 15:11:54 - mmengine - INFO - Epoch(train) [58][1520/3757] lr: 1.000e-03 eta: 11:48:24 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.3601 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1083 loss: 1.1083 2022/06/28 15:11:59 - mmengine - INFO - Epoch(train) [58][1540/3757] lr: 1.000e-03 eta: 11:48:18 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6547 loss: 1.6547 2022/06/28 15:12:04 - mmengine - INFO - Epoch(train) [58][1560/3757] lr: 1.000e-03 eta: 11:48:12 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.4474 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5132 loss: 1.5132 2022/06/28 15:12:09 - mmengine - INFO - Epoch(train) [58][1580/3757] lr: 1.000e-03 eta: 11:48:07 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.7613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3166 loss: 1.3166 2022/06/28 15:12:15 - mmengine - INFO - Epoch(train) [58][1600/3757] lr: 1.000e-03 eta: 11:48:02 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.9219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7194 loss: 1.7194 2022/06/28 15:12:20 - mmengine - INFO - Epoch(train) [58][1620/3757] lr: 1.000e-03 eta: 11:47:57 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 7.3468 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6696 loss: 1.6696 2022/06/28 15:12:25 - mmengine - INFO - Epoch(train) [58][1640/3757] lr: 1.000e-03 eta: 11:47:51 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 8.2308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3459 loss: 1.3459 2022/06/28 15:12:31 - mmengine - INFO - Epoch(train) [58][1660/3757] lr: 1.000e-03 eta: 11:47:46 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.2863 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6563 loss: 1.6563 2022/06/28 15:12:36 - mmengine - INFO - Epoch(train) [58][1680/3757] lr: 1.000e-03 eta: 11:47:41 time: 0.193 data_time: 0.020 memory: 5150 grad_norm: 6.9166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/06/28 15:12:42 - mmengine - INFO - Epoch(train) [58][1700/3757] lr: 1.000e-03 eta: 11:47:36 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 6.7740 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5593 loss: 1.5593 2022/06/28 15:12:47 - mmengine - INFO - Epoch(train) [58][1720/3757] lr: 1.000e-03 eta: 11:47:30 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 8.2735 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6627 loss: 1.6627 2022/06/28 15:12:52 - mmengine - INFO - Epoch(train) [58][1740/3757] lr: 1.000e-03 eta: 11:47:25 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.3831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/06/28 15:12:57 - mmengine - INFO - Epoch(train) [58][1760/3757] lr: 1.000e-03 eta: 11:47:19 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 7.2490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7663 loss: 1.7663 2022/06/28 15:13:03 - mmengine - INFO - Epoch(train) [58][1780/3757] lr: 1.000e-03 eta: 11:47:14 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.5052 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2445 loss: 1.2445 2022/06/28 15:13:08 - mmengine - INFO - Epoch(train) [58][1800/3757] lr: 1.000e-03 eta: 11:47:08 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.7273 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3649 loss: 1.3649 2022/06/28 15:13:13 - mmengine - INFO - Epoch(train) [58][1820/3757] lr: 1.000e-03 eta: 11:47:03 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.6849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5412 loss: 1.5412 2022/06/28 15:13:19 - mmengine - INFO - Epoch(train) [58][1840/3757] lr: 1.000e-03 eta: 11:46:58 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.5103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/06/28 15:13:22 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:13:24 - mmengine - INFO - Epoch(train) [58][1860/3757] lr: 1.000e-03 eta: 11:46:53 time: 0.202 data_time: 0.024 memory: 5150 grad_norm: 7.7924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3814 loss: 1.3814 2022/06/28 15:13:29 - mmengine - INFO - Epoch(train) [58][1880/3757] lr: 1.000e-03 eta: 11:46:47 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.0435 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/06/28 15:13:35 - mmengine - INFO - Epoch(train) [58][1900/3757] lr: 1.000e-03 eta: 11:46:42 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 7.2918 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1920 loss: 1.1920 2022/06/28 15:13:40 - mmengine - INFO - Epoch(train) [58][1920/3757] lr: 1.000e-03 eta: 11:46:37 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.3546 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4251 loss: 1.4251 2022/06/28 15:13:45 - mmengine - INFO - Epoch(train) [58][1940/3757] lr: 1.000e-03 eta: 11:46:31 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9559 loss: 0.9559 2022/06/28 15:13:50 - mmengine - INFO - Epoch(train) [58][1960/3757] lr: 1.000e-03 eta: 11:46:26 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 5.8993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9450 loss: 0.9450 2022/06/28 15:13:56 - mmengine - INFO - Epoch(train) [58][1980/3757] lr: 1.000e-03 eta: 11:46:21 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 6.2171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5631 loss: 1.5631 2022/06/28 15:14:01 - mmengine - INFO - Epoch(train) [58][2000/3757] lr: 1.000e-03 eta: 11:46:15 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.9779 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3921 loss: 1.3921 2022/06/28 15:14:06 - mmengine - INFO - Epoch(train) [58][2020/3757] lr: 1.000e-03 eta: 11:46:10 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.6975 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4308 loss: 1.4308 2022/06/28 15:14:11 - mmengine - INFO - Epoch(train) [58][2040/3757] lr: 1.000e-03 eta: 11:46:04 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.9185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3783 loss: 1.3783 2022/06/28 15:14:16 - mmengine - INFO - Epoch(train) [58][2060/3757] lr: 1.000e-03 eta: 11:45:58 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.3375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/06/28 15:14:21 - mmengine - INFO - Epoch(train) [58][2080/3757] lr: 1.000e-03 eta: 11:45:53 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.8833 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8066 loss: 1.8066 2022/06/28 15:14:26 - mmengine - INFO - Epoch(train) [58][2100/3757] lr: 1.000e-03 eta: 11:45:48 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 6.7337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0745 loss: 1.0745 2022/06/28 15:14:31 - mmengine - INFO - Epoch(train) [58][2120/3757] lr: 1.000e-03 eta: 11:45:42 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.6698 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3695 loss: 1.3695 2022/06/28 15:14:36 - mmengine - INFO - Epoch(train) [58][2140/3757] lr: 1.000e-03 eta: 11:45:37 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 7.8156 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5767 loss: 1.5767 2022/06/28 15:14:42 - mmengine - INFO - Epoch(train) [58][2160/3757] lr: 1.000e-03 eta: 11:45:32 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.0905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6553 loss: 1.6553 2022/06/28 15:14:47 - mmengine - INFO - Epoch(train) [58][2180/3757] lr: 1.000e-03 eta: 11:45:26 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.8552 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2821 loss: 1.2821 2022/06/28 15:14:53 - mmengine - INFO - Epoch(train) [58][2200/3757] lr: 1.000e-03 eta: 11:45:21 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.0615 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/06/28 15:14:58 - mmengine - INFO - Epoch(train) [58][2220/3757] lr: 1.000e-03 eta: 11:45:16 time: 0.940 data_time: 0.029 memory: 5150 grad_norm: 9.2079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3519 loss: 1.3519 2022/06/28 15:15:03 - mmengine - INFO - Epoch(train) [58][2240/3757] lr: 1.000e-03 eta: 11:45:10 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 5.8700 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4671 loss: 1.4671 2022/06/28 15:15:08 - mmengine - INFO - Epoch(train) [58][2260/3757] lr: 1.000e-03 eta: 11:45:05 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 7.9553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/06/28 15:15:14 - mmengine - INFO - Epoch(train) [58][2280/3757] lr: 1.000e-03 eta: 11:45:00 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 7.1207 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5313 loss: 1.5313 2022/06/28 15:15:19 - mmengine - INFO - Epoch(train) [58][2300/3757] lr: 1.000e-03 eta: 11:44:54 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.7192 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2751 loss: 1.2751 2022/06/28 15:15:25 - mmengine - INFO - Epoch(train) [58][2320/3757] lr: 1.000e-03 eta: 11:44:49 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.0639 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4892 loss: 1.4892 2022/06/28 15:15:30 - mmengine - INFO - Epoch(train) [58][2340/3757] lr: 1.000e-03 eta: 11:44:44 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.5619 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/06/28 15:15:35 - mmengine - INFO - Epoch(train) [58][2360/3757] lr: 1.000e-03 eta: 11:44:38 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.4774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5705 loss: 1.5705 2022/06/28 15:15:40 - mmengine - INFO - Epoch(train) [58][2380/3757] lr: 1.000e-03 eta: 11:44:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8093 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2910 loss: 1.2910 2022/06/28 15:15:46 - mmengine - INFO - Epoch(train) [58][2400/3757] lr: 1.000e-03 eta: 11:44:28 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 8.3463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1106 loss: 1.1106 2022/06/28 15:15:51 - mmengine - INFO - Epoch(train) [58][2420/3757] lr: 1.000e-03 eta: 11:44:22 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.8133 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4733 loss: 1.4733 2022/06/28 15:15:56 - mmengine - INFO - Epoch(train) [58][2440/3757] lr: 1.000e-03 eta: 11:44:17 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.1186 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6761 loss: 1.6761 2022/06/28 15:16:02 - mmengine - INFO - Epoch(train) [58][2460/3757] lr: 1.000e-03 eta: 11:44:12 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.5964 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3862 loss: 1.3862 2022/06/28 15:16:08 - mmengine - INFO - Epoch(train) [58][2480/3757] lr: 1.000e-03 eta: 11:44:07 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.3361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2996 loss: 1.2996 2022/06/28 15:16:12 - mmengine - INFO - Epoch(train) [58][2500/3757] lr: 1.000e-03 eta: 11:44:01 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.0590 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1655 loss: 1.1655 2022/06/28 15:16:18 - mmengine - INFO - Epoch(train) [58][2520/3757] lr: 1.000e-03 eta: 11:43:56 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.5146 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3712 loss: 1.3712 2022/06/28 15:16:23 - mmengine - INFO - Epoch(train) [58][2540/3757] lr: 1.000e-03 eta: 11:43:51 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.9971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4225 loss: 1.4225 2022/06/28 15:16:28 - mmengine - INFO - Epoch(train) [58][2560/3757] lr: 1.000e-03 eta: 11:43:45 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 5.9953 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4944 loss: 1.4944 2022/06/28 15:16:34 - mmengine - INFO - Epoch(train) [58][2580/3757] lr: 1.000e-03 eta: 11:43:40 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.0696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3432 loss: 1.3432 2022/06/28 15:16:39 - mmengine - INFO - Epoch(train) [58][2600/3757] lr: 1.000e-03 eta: 11:43:35 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 5.8744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/06/28 15:16:45 - mmengine - INFO - Epoch(train) [58][2620/3757] lr: 1.000e-03 eta: 11:43:29 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 7.2893 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6099 loss: 1.6099 2022/06/28 15:16:50 - mmengine - INFO - Epoch(train) [58][2640/3757] lr: 1.000e-03 eta: 11:43:24 time: 0.193 data_time: 0.014 memory: 5150 grad_norm: 8.0025 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7109 loss: 1.7109 2022/06/28 15:16:55 - mmengine - INFO - Epoch(train) [58][2660/3757] lr: 1.000e-03 eta: 11:43:18 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.8984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7707 loss: 1.7707 2022/06/28 15:17:00 - mmengine - INFO - Epoch(train) [58][2680/3757] lr: 1.000e-03 eta: 11:43:13 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.0534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/06/28 15:17:06 - mmengine - INFO - Epoch(train) [58][2700/3757] lr: 1.000e-03 eta: 11:43:08 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 7.4331 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4039 loss: 1.4039 2022/06/28 15:17:11 - mmengine - INFO - Epoch(train) [58][2720/3757] lr: 1.000e-03 eta: 11:43:03 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.5603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5011 loss: 1.5011 2022/06/28 15:17:16 - mmengine - INFO - Epoch(train) [58][2740/3757] lr: 1.000e-03 eta: 11:42:57 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.2104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1891 loss: 1.1891 2022/06/28 15:17:21 - mmengine - INFO - Epoch(train) [58][2760/3757] lr: 1.000e-03 eta: 11:42:52 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 8.7922 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6220 loss: 1.6220 2022/06/28 15:17:27 - mmengine - INFO - Epoch(train) [58][2780/3757] lr: 1.000e-03 eta: 11:42:47 time: 0.199 data_time: 0.025 memory: 5150 grad_norm: 7.1914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6116 loss: 1.6116 2022/06/28 15:17:32 - mmengine - INFO - Epoch(train) [58][2800/3757] lr: 1.000e-03 eta: 11:42:41 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.9799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5688 loss: 1.5688 2022/06/28 15:17:37 - mmengine - INFO - Epoch(train) [58][2820/3757] lr: 1.000e-03 eta: 11:42:36 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 5.9527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2699 loss: 1.2699 2022/06/28 15:17:43 - mmengine - INFO - Epoch(train) [58][2840/3757] lr: 1.000e-03 eta: 11:42:31 time: 0.214 data_time: 0.017 memory: 5150 grad_norm: 7.7876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0876 loss: 1.0876 2022/06/28 15:17:46 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:17:48 - mmengine - INFO - Epoch(train) [58][2860/3757] lr: 1.000e-03 eta: 11:42:25 time: 0.226 data_time: 0.013 memory: 5150 grad_norm: 7.0960 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7244 loss: 1.7244 2022/06/28 15:17:54 - mmengine - INFO - Epoch(train) [58][2880/3757] lr: 1.000e-03 eta: 11:42:20 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.8468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3699 loss: 1.3699 2022/06/28 15:17:58 - mmengine - INFO - Epoch(train) [58][2900/3757] lr: 1.000e-03 eta: 11:42:14 time: 0.215 data_time: 0.023 memory: 5150 grad_norm: 6.3409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5083 loss: 1.5083 2022/06/28 15:18:03 - mmengine - INFO - Epoch(train) [58][2920/3757] lr: 1.000e-03 eta: 11:42:09 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.2692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2046 loss: 1.2046 2022/06/28 15:18:09 - mmengine - INFO - Epoch(train) [58][2940/3757] lr: 1.000e-03 eta: 11:42:04 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 5.8385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4016 loss: 1.4016 2022/06/28 15:18:15 - mmengine - INFO - Epoch(train) [58][2960/3757] lr: 1.000e-03 eta: 11:41:59 time: 0.226 data_time: 0.044 memory: 5150 grad_norm: 7.5815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4752 loss: 1.4752 2022/06/28 15:18:19 - mmengine - INFO - Epoch(train) [58][2980/3757] lr: 1.000e-03 eta: 11:41:53 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1703 loss: 1.1703 2022/06/28 15:18:25 - mmengine - INFO - Epoch(train) [58][3000/3757] lr: 1.000e-03 eta: 11:41:48 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 6.9370 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/06/28 15:18:30 - mmengine - INFO - Epoch(train) [58][3020/3757] lr: 1.000e-03 eta: 11:41:43 time: 0.204 data_time: 0.030 memory: 5150 grad_norm: 6.6401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2445 loss: 1.2445 2022/06/28 15:18:35 - mmengine - INFO - Epoch(train) [58][3040/3757] lr: 1.000e-03 eta: 11:41:37 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3893 loss: 1.3893 2022/06/28 15:18:40 - mmengine - INFO - Epoch(train) [58][3060/3757] lr: 1.000e-03 eta: 11:41:32 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 7.7307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1001 loss: 1.1001 2022/06/28 15:18:46 - mmengine - INFO - Epoch(train) [58][3080/3757] lr: 1.000e-03 eta: 11:41:27 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 6.9856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3807 loss: 1.3807 2022/06/28 15:18:51 - mmengine - INFO - Epoch(train) [58][3100/3757] lr: 1.000e-03 eta: 11:41:21 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.2144 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4443 loss: 1.4443 2022/06/28 15:18:56 - mmengine - INFO - Epoch(train) [58][3120/3757] lr: 1.000e-03 eta: 11:41:16 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 7.3047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/06/28 15:19:02 - mmengine - INFO - Epoch(train) [58][3140/3757] lr: 1.000e-03 eta: 11:41:10 time: 0.216 data_time: 0.018 memory: 5150 grad_norm: 7.5469 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5435 loss: 1.5435 2022/06/28 15:19:07 - mmengine - INFO - Epoch(train) [58][3160/3757] lr: 1.000e-03 eta: 11:41:05 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 7.3568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2161 loss: 1.2161 2022/06/28 15:19:12 - mmengine - INFO - Epoch(train) [58][3180/3757] lr: 1.000e-03 eta: 11:41:00 time: 0.242 data_time: 0.007 memory: 5150 grad_norm: 7.9124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/06/28 15:19:18 - mmengine - INFO - Epoch(train) [58][3200/3757] lr: 1.000e-03 eta: 11:40:55 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 7.1112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/06/28 15:19:22 - mmengine - INFO - Epoch(train) [58][3220/3757] lr: 1.000e-03 eta: 11:40:49 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.8797 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3956 loss: 1.3956 2022/06/28 15:19:28 - mmengine - INFO - Epoch(train) [58][3240/3757] lr: 1.000e-03 eta: 11:40:44 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.9144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3563 loss: 1.3563 2022/06/28 15:19:33 - mmengine - INFO - Epoch(train) [58][3260/3757] lr: 1.000e-03 eta: 11:40:38 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 7.4893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/06/28 15:19:38 - mmengine - INFO - Epoch(train) [58][3280/3757] lr: 1.000e-03 eta: 11:40:33 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.4189 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2835 loss: 1.2835 2022/06/28 15:19:43 - mmengine - INFO - Epoch(train) [58][3300/3757] lr: 1.000e-03 eta: 11:40:27 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.6872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4073 loss: 1.4073 2022/06/28 15:19:48 - mmengine - INFO - Epoch(train) [58][3320/3757] lr: 1.000e-03 eta: 11:40:22 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 6.6428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/06/28 15:19:54 - mmengine - INFO - Epoch(train) [58][3340/3757] lr: 1.000e-03 eta: 11:40:16 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.1615 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5375 loss: 1.5375 2022/06/28 15:19:59 - mmengine - INFO - Epoch(train) [58][3360/3757] lr: 1.000e-03 eta: 11:40:11 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.6346 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4392 loss: 1.4392 2022/06/28 15:20:05 - mmengine - INFO - Epoch(train) [58][3380/3757] lr: 1.000e-03 eta: 11:40:06 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 6.9760 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/06/28 15:20:10 - mmengine - INFO - Epoch(train) [58][3400/3757] lr: 1.000e-03 eta: 11:40:01 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.1683 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2160 loss: 1.2160 2022/06/28 15:20:15 - mmengine - INFO - Epoch(train) [58][3420/3757] lr: 1.000e-03 eta: 11:39:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.8482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7919 loss: 1.7919 2022/06/28 15:20:21 - mmengine - INFO - Epoch(train) [58][3440/3757] lr: 1.000e-03 eta: 11:39:50 time: 0.213 data_time: 0.019 memory: 5150 grad_norm: 7.7447 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4516 loss: 1.4516 2022/06/28 15:20:26 - mmengine - INFO - Epoch(train) [58][3460/3757] lr: 1.000e-03 eta: 11:39:45 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.6334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5466 loss: 1.5466 2022/06/28 15:20:31 - mmengine - INFO - Epoch(train) [58][3480/3757] lr: 1.000e-03 eta: 11:39:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.3988 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8390 loss: 1.8390 2022/06/28 15:20:37 - mmengine - INFO - Epoch(train) [58][3500/3757] lr: 1.000e-03 eta: 11:39:34 time: 0.209 data_time: 0.033 memory: 5150 grad_norm: 6.8416 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5260 loss: 1.5260 2022/06/28 15:20:42 - mmengine - INFO - Epoch(train) [58][3520/3757] lr: 1.000e-03 eta: 11:39:29 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.3524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5314 loss: 1.5314 2022/06/28 15:20:47 - mmengine - INFO - Epoch(train) [58][3540/3757] lr: 1.000e-03 eta: 11:39:24 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.6739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/06/28 15:20:53 - mmengine - INFO - Epoch(train) [58][3560/3757] lr: 1.000e-03 eta: 11:39:18 time: 0.212 data_time: 0.039 memory: 5150 grad_norm: 8.0521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7093 loss: 1.7093 2022/06/28 15:20:57 - mmengine - INFO - Epoch(train) [58][3580/3757] lr: 1.000e-03 eta: 11:39:12 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.0368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3303 loss: 1.3303 2022/06/28 15:21:03 - mmengine - INFO - Epoch(train) [58][3600/3757] lr: 1.000e-03 eta: 11:39:07 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.2270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/06/28 15:21:08 - mmengine - INFO - Epoch(train) [58][3620/3757] lr: 1.000e-03 eta: 11:39:02 time: 0.210 data_time: 0.032 memory: 5150 grad_norm: 7.1850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/06/28 15:21:13 - mmengine - INFO - Epoch(train) [58][3640/3757] lr: 1.000e-03 eta: 11:38:56 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.1464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2249 loss: 1.2249 2022/06/28 15:21:19 - mmengine - INFO - Epoch(train) [58][3660/3757] lr: 1.000e-03 eta: 11:38:51 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.2039 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3044 loss: 1.3044 2022/06/28 15:21:24 - mmengine - INFO - Epoch(train) [58][3680/3757] lr: 1.000e-03 eta: 11:38:46 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 6.1092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/06/28 15:21:29 - mmengine - INFO - Epoch(train) [58][3700/3757] lr: 1.000e-03 eta: 11:38:40 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.2776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3341 loss: 1.3341 2022/06/28 15:21:34 - mmengine - INFO - Epoch(train) [58][3720/3757] lr: 1.000e-03 eta: 11:38:35 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.3949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5206 loss: 1.5206 2022/06/28 15:21:40 - mmengine - INFO - Epoch(train) [58][3740/3757] lr: 1.000e-03 eta: 11:38:30 time: 0.210 data_time: 0.036 memory: 5150 grad_norm: 7.3310 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1809 loss: 1.1809 2022/06/28 15:21:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:22:17 - mmengine - INFO - Epoch(val) [58][20/310] eta: 0:05:53 time: 1.023 data_time: 0.356 memory: 9746 2022/06/28 15:22:39 - mmengine - INFO - Epoch(val) [58][40/310] eta: 0:04:45 time: 1.048 data_time: 0.403 memory: 9746 2022/06/28 15:23:03 - mmengine - INFO - Epoch(val) [58][60/310] eta: 0:04:25 time: 1.222 data_time: 0.424 memory: 9746 2022/06/28 15:23:25 - mmengine - INFO - Epoch(val) [58][80/310] eta: 0:04:24 time: 0.997 data_time: 0.341 memory: 9746 2022/06/28 15:23:49 - mmengine - INFO - Epoch(val) [58][100/310] eta: 0:04:12 time: 2.305 data_time: 1.603 memory: 9746 2022/06/28 15:24:11 - mmengine - INFO - Epoch(val) [58][120/310] eta: 0:03:37 time: 1.185 data_time: 0.541 memory: 9746 2022/06/28 15:24:35 - mmengine - INFO - Epoch(val) [58][140/310] eta: 0:03:21 time: 1.133 data_time: 0.502 memory: 9746 2022/06/28 15:25:00 - mmengine - INFO - Epoch(val) [58][160/310] eta: 0:03:14 time: 3.392 data_time: 2.698 memory: 9746 2022/06/28 15:25:23 - mmengine - INFO - Epoch(val) [58][180/310] eta: 0:02:42 time: 1.112 data_time: 0.457 memory: 9746 2022/06/28 15:25:45 - mmengine - INFO - Epoch(val) [58][200/310] eta: 0:02:03 time: 1.100 data_time: 0.442 memory: 9746 2022/06/28 15:26:07 - mmengine - INFO - Epoch(val) [58][220/310] eta: 0:01:37 time: 1.294 data_time: 0.667 memory: 9746 2022/06/28 15:26:28 - mmengine - INFO - Epoch(val) [58][240/310] eta: 0:01:13 time: 1.091 data_time: 0.451 memory: 9746 2022/06/28 15:26:51 - mmengine - INFO - Epoch(val) [58][260/310] eta: 0:01:02 time: 1.125 data_time: 0.465 memory: 9746 2022/06/28 15:27:15 - mmengine - INFO - Epoch(val) [58][280/310] eta: 0:00:35 time: 2.437 data_time: 1.767 memory: 9746 2022/06/28 15:27:35 - mmengine - INFO - Epoch(val) [58][300/310] eta: 0:00:09 time: 0.643 data_time: 0.071 memory: 9746 2022/06/28 15:27:47 - mmengine - INFO - Epoch(val) [58][310/310] acc/top1: 0.7049 acc/top5: 0.8969 acc/mean1: 0.7048 2022/06/28 15:27:55 - mmengine - INFO - Epoch(train) [59][20/3757] lr: 1.000e-03 eta: 11:38:20 time: 0.206 data_time: 0.008 memory: 9746 grad_norm: 7.8042 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2057 loss: 1.2057 2022/06/28 15:28:01 - mmengine - INFO - Epoch(train) [59][40/3757] lr: 1.000e-03 eta: 11:38:15 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.3411 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/06/28 15:28:06 - mmengine - INFO - Epoch(train) [59][60/3757] lr: 1.000e-03 eta: 11:38:10 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.9416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5762 loss: 1.5762 2022/06/28 15:28:11 - mmengine - INFO - Epoch(train) [59][80/3757] lr: 1.000e-03 eta: 11:38:05 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 6.5645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/06/28 15:28:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:28:17 - mmengine - INFO - Epoch(train) [59][100/3757] lr: 1.000e-03 eta: 11:38:00 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 5.6641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2729 loss: 1.2729 2022/06/28 15:28:22 - mmengine - INFO - Epoch(train) [59][120/3757] lr: 1.000e-03 eta: 11:37:54 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.2287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/06/28 15:28:27 - mmengine - INFO - Epoch(train) [59][140/3757] lr: 1.000e-03 eta: 11:37:49 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 6.8261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4320 loss: 1.4320 2022/06/28 15:28:33 - mmengine - INFO - Epoch(train) [59][160/3757] lr: 1.000e-03 eta: 11:37:44 time: 0.222 data_time: 0.013 memory: 5150 grad_norm: 7.8865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3764 loss: 1.3764 2022/06/28 15:28:38 - mmengine - INFO - Epoch(train) [59][180/3757] lr: 1.000e-03 eta: 11:37:38 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.5272 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3701 loss: 1.3701 2022/06/28 15:28:44 - mmengine - INFO - Epoch(train) [59][200/3757] lr: 1.000e-03 eta: 11:37:33 time: 0.400 data_time: 0.008 memory: 5150 grad_norm: 6.7023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1770 loss: 1.1770 2022/06/28 15:28:49 - mmengine - INFO - Epoch(train) [59][220/3757] lr: 1.000e-03 eta: 11:37:28 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.6853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3685 loss: 1.3685 2022/06/28 15:28:53 - mmengine - INFO - Epoch(train) [59][240/3757] lr: 1.000e-03 eta: 11:37:22 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.1186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2018 loss: 1.2018 2022/06/28 15:28:59 - mmengine - INFO - Epoch(train) [59][260/3757] lr: 1.000e-03 eta: 11:37:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5306 loss: 1.5306 2022/06/28 15:29:04 - mmengine - INFO - Epoch(train) [59][280/3757] lr: 1.000e-03 eta: 11:37:11 time: 0.231 data_time: 0.018 memory: 5150 grad_norm: 7.5154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5272 loss: 1.5272 2022/06/28 15:29:09 - mmengine - INFO - Epoch(train) [59][300/3757] lr: 1.000e-03 eta: 11:37:06 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.8357 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/06/28 15:29:15 - mmengine - INFO - Epoch(train) [59][320/3757] lr: 1.000e-03 eta: 11:37:01 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.9334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/06/28 15:29:20 - mmengine - INFO - Epoch(train) [59][340/3757] lr: 1.000e-03 eta: 11:36:56 time: 0.219 data_time: 0.030 memory: 5150 grad_norm: 6.2736 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2275 loss: 1.2275 2022/06/28 15:29:26 - mmengine - INFO - Epoch(train) [59][360/3757] lr: 1.000e-03 eta: 11:36:50 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.0163 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2244 loss: 1.2244 2022/06/28 15:29:31 - mmengine - INFO - Epoch(train) [59][380/3757] lr: 1.000e-03 eta: 11:36:45 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 7.1083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3019 loss: 1.3019 2022/06/28 15:29:36 - mmengine - INFO - Epoch(train) [59][400/3757] lr: 1.000e-03 eta: 11:36:40 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 7.6311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6037 loss: 1.6037 2022/06/28 15:29:42 - mmengine - INFO - Epoch(train) [59][420/3757] lr: 1.000e-03 eta: 11:36:34 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.9286 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6047 loss: 1.6047 2022/06/28 15:29:47 - mmengine - INFO - Epoch(train) [59][440/3757] lr: 1.000e-03 eta: 11:36:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.8822 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9258 loss: 1.9258 2022/06/28 15:29:52 - mmengine - INFO - Epoch(train) [59][460/3757] lr: 1.000e-03 eta: 11:36:24 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 6.7671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2406 loss: 1.2406 2022/06/28 15:29:57 - mmengine - INFO - Epoch(train) [59][480/3757] lr: 1.000e-03 eta: 11:36:18 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 7.3700 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6014 loss: 1.6014 2022/06/28 15:30:03 - mmengine - INFO - Epoch(train) [59][500/3757] lr: 1.000e-03 eta: 11:36:13 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.7107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/06/28 15:30:09 - mmengine - INFO - Epoch(train) [59][520/3757] lr: 1.000e-03 eta: 11:36:08 time: 0.227 data_time: 0.025 memory: 5150 grad_norm: 6.2866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6134 loss: 1.6134 2022/06/28 15:30:13 - mmengine - INFO - Epoch(train) [59][540/3757] lr: 1.000e-03 eta: 11:36:02 time: 0.341 data_time: 0.007 memory: 5150 grad_norm: 7.1283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/28 15:30:19 - mmengine - INFO - Epoch(train) [59][560/3757] lr: 1.000e-03 eta: 11:35:57 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 7.4560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1867 loss: 1.1867 2022/06/28 15:30:24 - mmengine - INFO - Epoch(train) [59][580/3757] lr: 1.000e-03 eta: 11:35:52 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 7.2759 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/06/28 15:30:29 - mmengine - INFO - Epoch(train) [59][600/3757] lr: 1.000e-03 eta: 11:35:46 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 6.5440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3745 loss: 1.3745 2022/06/28 15:30:35 - mmengine - INFO - Epoch(train) [59][620/3757] lr: 1.000e-03 eta: 11:35:41 time: 0.241 data_time: 0.011 memory: 5150 grad_norm: 7.3624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9297 loss: 0.9297 2022/06/28 15:30:40 - mmengine - INFO - Epoch(train) [59][640/3757] lr: 1.000e-03 eta: 11:35:35 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 5.9406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1195 loss: 1.1195 2022/06/28 15:30:45 - mmengine - INFO - Epoch(train) [59][660/3757] lr: 1.000e-03 eta: 11:35:30 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.7665 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1773 loss: 1.1773 2022/06/28 15:30:50 - mmengine - INFO - Epoch(train) [59][680/3757] lr: 1.000e-03 eta: 11:35:24 time: 0.211 data_time: 0.023 memory: 5150 grad_norm: 7.0877 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/06/28 15:30:55 - mmengine - INFO - Epoch(train) [59][700/3757] lr: 1.000e-03 eta: 11:35:19 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 9.5748 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/06/28 15:30:59 - mmengine - INFO - Epoch(train) [59][720/3757] lr: 1.000e-03 eta: 11:35:13 time: 0.318 data_time: 0.007 memory: 5150 grad_norm: 7.5401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3522 loss: 1.3522 2022/06/28 15:31:05 - mmengine - INFO - Epoch(train) [59][740/3757] lr: 1.000e-03 eta: 11:35:08 time: 0.204 data_time: 0.027 memory: 5150 grad_norm: 8.4717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3004 loss: 1.3004 2022/06/28 15:31:10 - mmengine - INFO - Epoch(train) [59][760/3757] lr: 1.000e-03 eta: 11:35:02 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.8029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7479 loss: 1.7479 2022/06/28 15:31:16 - mmengine - INFO - Epoch(train) [59][780/3757] lr: 1.000e-03 eta: 11:34:57 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.8177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4535 loss: 1.4535 2022/06/28 15:31:21 - mmengine - INFO - Epoch(train) [59][800/3757] lr: 1.000e-03 eta: 11:34:52 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 6.7957 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6345 loss: 1.6345 2022/06/28 15:31:26 - mmengine - INFO - Epoch(train) [59][820/3757] lr: 1.000e-03 eta: 11:34:47 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.3324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2032 loss: 1.2032 2022/06/28 15:31:31 - mmengine - INFO - Epoch(train) [59][840/3757] lr: 1.000e-03 eta: 11:34:41 time: 0.253 data_time: 0.009 memory: 5150 grad_norm: 8.1773 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/06/28 15:31:37 - mmengine - INFO - Epoch(train) [59][860/3757] lr: 1.000e-03 eta: 11:34:36 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 8.3051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3942 loss: 1.3942 2022/06/28 15:31:42 - mmengine - INFO - Epoch(train) [59][880/3757] lr: 1.000e-03 eta: 11:34:31 time: 0.487 data_time: 0.007 memory: 5150 grad_norm: 6.4797 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4454 loss: 1.4454 2022/06/28 15:31:47 - mmengine - INFO - Epoch(train) [59][900/3757] lr: 1.000e-03 eta: 11:34:25 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.4731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2096 loss: 1.2096 2022/06/28 15:31:52 - mmengine - INFO - Epoch(train) [59][920/3757] lr: 1.000e-03 eta: 11:34:20 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 9.0399 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3675 loss: 1.3675 2022/06/28 15:31:58 - mmengine - INFO - Epoch(train) [59][940/3757] lr: 1.000e-03 eta: 11:34:15 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.0953 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3227 loss: 1.3227 2022/06/28 15:32:03 - mmengine - INFO - Epoch(train) [59][960/3757] lr: 1.000e-03 eta: 11:34:09 time: 0.235 data_time: 0.011 memory: 5150 grad_norm: 7.1085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5214 loss: 1.5214 2022/06/28 15:32:08 - mmengine - INFO - Epoch(train) [59][980/3757] lr: 1.000e-03 eta: 11:34:04 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 7.4220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6168 loss: 1.6168 2022/06/28 15:32:14 - mmengine - INFO - Epoch(train) [59][1000/3757] lr: 1.000e-03 eta: 11:33:59 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.2974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2917 loss: 1.2917 2022/06/28 15:32:19 - mmengine - INFO - Epoch(train) [59][1020/3757] lr: 1.000e-03 eta: 11:33:53 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.9360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5994 loss: 1.5994 2022/06/28 15:32:24 - mmengine - INFO - Epoch(train) [59][1040/3757] lr: 1.000e-03 eta: 11:33:48 time: 0.216 data_time: 0.013 memory: 5150 grad_norm: 7.5762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5073 loss: 1.5073 2022/06/28 15:32:30 - mmengine - INFO - Epoch(train) [59][1060/3757] lr: 1.000e-03 eta: 11:33:43 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 6.6708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7662 loss: 0.7662 2022/06/28 15:32:36 - mmengine - INFO - Epoch(train) [59][1080/3757] lr: 1.000e-03 eta: 11:33:38 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.5893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6587 loss: 1.6587 2022/06/28 15:32:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:32:40 - mmengine - INFO - Epoch(train) [59][1100/3757] lr: 1.000e-03 eta: 11:33:32 time: 0.216 data_time: 0.013 memory: 5150 grad_norm: 6.9955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0213 loss: 1.0213 2022/06/28 15:32:46 - mmengine - INFO - Epoch(train) [59][1120/3757] lr: 1.000e-03 eta: 11:33:27 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.5333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3817 loss: 1.3817 2022/06/28 15:32:51 - mmengine - INFO - Epoch(train) [59][1140/3757] lr: 1.000e-03 eta: 11:33:21 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 8.8016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4390 loss: 1.4390 2022/06/28 15:32:56 - mmengine - INFO - Epoch(train) [59][1160/3757] lr: 1.000e-03 eta: 11:33:16 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 6.6256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1855 loss: 1.1855 2022/06/28 15:33:02 - mmengine - INFO - Epoch(train) [59][1180/3757] lr: 1.000e-03 eta: 11:33:11 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.1902 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5892 loss: 1.5892 2022/06/28 15:33:07 - mmengine - INFO - Epoch(train) [59][1200/3757] lr: 1.000e-03 eta: 11:33:05 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.7133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4190 loss: 1.4190 2022/06/28 15:33:12 - mmengine - INFO - Epoch(train) [59][1220/3757] lr: 1.000e-03 eta: 11:33:00 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.4286 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/06/28 15:33:18 - mmengine - INFO - Epoch(train) [59][1240/3757] lr: 1.000e-03 eta: 11:32:55 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.1871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3924 loss: 1.3924 2022/06/28 15:33:23 - mmengine - INFO - Epoch(train) [59][1260/3757] lr: 1.000e-03 eta: 11:32:49 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.2444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3796 loss: 1.3796 2022/06/28 15:33:28 - mmengine - INFO - Epoch(train) [59][1280/3757] lr: 1.000e-03 eta: 11:32:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.6926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1957 loss: 1.1957 2022/06/28 15:33:34 - mmengine - INFO - Epoch(train) [59][1300/3757] lr: 1.000e-03 eta: 11:32:39 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.6651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2974 loss: 1.2974 2022/06/28 15:33:39 - mmengine - INFO - Epoch(train) [59][1320/3757] lr: 1.000e-03 eta: 11:32:33 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.4634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1930 loss: 1.1930 2022/06/28 15:33:44 - mmengine - INFO - Epoch(train) [59][1340/3757] lr: 1.000e-03 eta: 11:32:28 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.6741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/06/28 15:33:49 - mmengine - INFO - Epoch(train) [59][1360/3757] lr: 1.000e-03 eta: 11:32:23 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 6.3227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/06/28 15:33:55 - mmengine - INFO - Epoch(train) [59][1380/3757] lr: 1.000e-03 eta: 11:32:17 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 6.3631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1256 loss: 1.1256 2022/06/28 15:34:00 - mmengine - INFO - Epoch(train) [59][1400/3757] lr: 1.000e-03 eta: 11:32:12 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9721 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4321 loss: 1.4321 2022/06/28 15:34:05 - mmengine - INFO - Epoch(train) [59][1420/3757] lr: 1.000e-03 eta: 11:32:07 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.3493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/06/28 15:34:10 - mmengine - INFO - Epoch(train) [59][1440/3757] lr: 1.000e-03 eta: 11:32:01 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.2561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/06/28 15:34:16 - mmengine - INFO - Epoch(train) [59][1460/3757] lr: 1.000e-03 eta: 11:31:56 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.7837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/06/28 15:34:20 - mmengine - INFO - Epoch(train) [59][1480/3757] lr: 1.000e-03 eta: 11:31:50 time: 0.219 data_time: 0.016 memory: 5150 grad_norm: 8.2690 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2538 loss: 1.2538 2022/06/28 15:34:26 - mmengine - INFO - Epoch(train) [59][1500/3757] lr: 1.000e-03 eta: 11:31:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.5517 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4115 loss: 1.4115 2022/06/28 15:34:30 - mmengine - INFO - Epoch(train) [59][1520/3757] lr: 1.000e-03 eta: 11:31:39 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.0625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1962 loss: 1.1962 2022/06/28 15:34:37 - mmengine - INFO - Epoch(train) [59][1540/3757] lr: 1.000e-03 eta: 11:31:35 time: 0.212 data_time: 0.018 memory: 5150 grad_norm: 7.3839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9997 loss: 0.9997 2022/06/28 15:34:42 - mmengine - INFO - Epoch(train) [59][1560/3757] lr: 1.000e-03 eta: 11:31:29 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 7.3904 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3706 loss: 1.3706 2022/06/28 15:34:47 - mmengine - INFO - Epoch(train) [59][1580/3757] lr: 1.000e-03 eta: 11:31:24 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 7.3327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/06/28 15:34:52 - mmengine - INFO - Epoch(train) [59][1600/3757] lr: 1.000e-03 eta: 11:31:18 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.0775 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3937 loss: 1.3937 2022/06/28 15:34:57 - mmengine - INFO - Epoch(train) [59][1620/3757] lr: 1.000e-03 eta: 11:31:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.3219 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5397 loss: 1.5397 2022/06/28 15:35:03 - mmengine - INFO - Epoch(train) [59][1640/3757] lr: 1.000e-03 eta: 11:31:07 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.7263 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/06/28 15:35:08 - mmengine - INFO - Epoch(train) [59][1660/3757] lr: 1.000e-03 eta: 11:31:02 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 7.0798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3687 loss: 1.3687 2022/06/28 15:35:14 - mmengine - INFO - Epoch(train) [59][1680/3757] lr: 1.000e-03 eta: 11:30:57 time: 0.393 data_time: 0.007 memory: 5150 grad_norm: 6.5300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2547 loss: 1.2547 2022/06/28 15:35:19 - mmengine - INFO - Epoch(train) [59][1700/3757] lr: 1.000e-03 eta: 11:30:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.4410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2281 loss: 1.2281 2022/06/28 15:35:24 - mmengine - INFO - Epoch(train) [59][1720/3757] lr: 1.000e-03 eta: 11:30:47 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.0563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1901 loss: 1.1901 2022/06/28 15:35:29 - mmengine - INFO - Epoch(train) [59][1740/3757] lr: 1.000e-03 eta: 11:30:41 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.2226 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2233 loss: 1.2233 2022/06/28 15:35:34 - mmengine - INFO - Epoch(train) [59][1760/3757] lr: 1.000e-03 eta: 11:30:35 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.7274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2297 loss: 1.2297 2022/06/28 15:35:39 - mmengine - INFO - Epoch(train) [59][1780/3757] lr: 1.000e-03 eta: 11:30:30 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.8281 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/06/28 15:35:45 - mmengine - INFO - Epoch(train) [59][1800/3757] lr: 1.000e-03 eta: 11:30:25 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.1935 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6134 loss: 1.6134 2022/06/28 15:35:49 - mmengine - INFO - Epoch(train) [59][1820/3757] lr: 1.000e-03 eta: 11:30:19 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.8026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/06/28 15:35:55 - mmengine - INFO - Epoch(train) [59][1840/3757] lr: 1.000e-03 eta: 11:30:14 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.6092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3640 loss: 1.3640 2022/06/28 15:36:01 - mmengine - INFO - Epoch(train) [59][1860/3757] lr: 1.000e-03 eta: 11:30:09 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.1072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/06/28 15:36:06 - mmengine - INFO - Epoch(train) [59][1880/3757] lr: 1.000e-03 eta: 11:30:03 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.9604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8525 loss: 1.8525 2022/06/28 15:36:11 - mmengine - INFO - Epoch(train) [59][1900/3757] lr: 1.000e-03 eta: 11:29:58 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.0218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2934 loss: 1.2934 2022/06/28 15:36:17 - mmengine - INFO - Epoch(train) [59][1920/3757] lr: 1.000e-03 eta: 11:29:53 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.4136 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7828 loss: 1.7828 2022/06/28 15:36:22 - mmengine - INFO - Epoch(train) [59][1940/3757] lr: 1.000e-03 eta: 11:29:48 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 8.3874 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6921 loss: 1.6921 2022/06/28 15:36:27 - mmengine - INFO - Epoch(train) [59][1960/3757] lr: 1.000e-03 eta: 11:29:42 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.2363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8809 loss: 1.8809 2022/06/28 15:36:32 - mmengine - INFO - Epoch(train) [59][1980/3757] lr: 1.000e-03 eta: 11:29:37 time: 0.229 data_time: 0.014 memory: 5150 grad_norm: 6.2048 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2593 loss: 1.2593 2022/06/28 15:36:38 - mmengine - INFO - Epoch(train) [59][2000/3757] lr: 1.000e-03 eta: 11:29:31 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 6.6970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2853 loss: 1.2853 2022/06/28 15:36:43 - mmengine - INFO - Epoch(train) [59][2020/3757] lr: 1.000e-03 eta: 11:29:26 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.0586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6585 loss: 1.6585 2022/06/28 15:36:48 - mmengine - INFO - Epoch(train) [59][2040/3757] lr: 1.000e-03 eta: 11:29:20 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.2012 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/06/28 15:36:53 - mmengine - INFO - Epoch(train) [59][2060/3757] lr: 1.000e-03 eta: 11:29:15 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.1455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0508 loss: 1.0508 2022/06/28 15:36:59 - mmengine - INFO - Epoch(train) [59][2080/3757] lr: 1.000e-03 eta: 11:29:10 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9185 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4579 loss: 1.4579 2022/06/28 15:37:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:37:04 - mmengine - INFO - Epoch(train) [59][2100/3757] lr: 1.000e-03 eta: 11:29:05 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 6.3188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3102 loss: 1.3102 2022/06/28 15:37:09 - mmengine - INFO - Epoch(train) [59][2120/3757] lr: 1.000e-03 eta: 11:28:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.8372 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1007 loss: 1.1007 2022/06/28 15:37:15 - mmengine - INFO - Epoch(train) [59][2140/3757] lr: 1.000e-03 eta: 11:28:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.3876 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0253 loss: 2.0253 2022/06/28 15:37:20 - mmengine - INFO - Epoch(train) [59][2160/3757] lr: 1.000e-03 eta: 11:28:49 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.1105 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3509 loss: 1.3509 2022/06/28 15:37:26 - mmengine - INFO - Epoch(train) [59][2180/3757] lr: 1.000e-03 eta: 11:28:44 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 7.8032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8203 loss: 1.8203 2022/06/28 15:37:31 - mmengine - INFO - Epoch(train) [59][2200/3757] lr: 1.000e-03 eta: 11:28:38 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1305 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0264 loss: 1.0264 2022/06/28 15:37:35 - mmengine - INFO - Epoch(train) [59][2220/3757] lr: 1.000e-03 eta: 11:28:32 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 6.4217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/06/28 15:37:39 - mmengine - INFO - Epoch(train) [59][2240/3757] lr: 1.000e-03 eta: 11:28:26 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.2892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1665 loss: 1.1665 2022/06/28 15:37:45 - mmengine - INFO - Epoch(train) [59][2260/3757] lr: 1.000e-03 eta: 11:28:21 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 7.6388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4380 loss: 1.4380 2022/06/28 15:37:50 - mmengine - INFO - Epoch(train) [59][2280/3757] lr: 1.000e-03 eta: 11:28:15 time: 0.246 data_time: 0.013 memory: 5150 grad_norm: 6.6146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4546 loss: 1.4546 2022/06/28 15:37:55 - mmengine - INFO - Epoch(train) [59][2300/3757] lr: 1.000e-03 eta: 11:28:10 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.8378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2973 loss: 1.2973 2022/06/28 15:38:01 - mmengine - INFO - Epoch(train) [59][2320/3757] lr: 1.000e-03 eta: 11:28:05 time: 0.303 data_time: 0.008 memory: 5150 grad_norm: 7.7596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4088 loss: 1.4088 2022/06/28 15:38:06 - mmengine - INFO - Epoch(train) [59][2340/3757] lr: 1.000e-03 eta: 11:28:00 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.1045 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.4976 loss: 1.4976 2022/06/28 15:38:12 - mmengine - INFO - Epoch(train) [59][2360/3757] lr: 1.000e-03 eta: 11:27:54 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9857 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1982 loss: 1.1982 2022/06/28 15:38:17 - mmengine - INFO - Epoch(train) [59][2380/3757] lr: 1.000e-03 eta: 11:27:49 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.3612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4352 loss: 1.4352 2022/06/28 15:38:22 - mmengine - INFO - Epoch(train) [59][2400/3757] lr: 1.000e-03 eta: 11:27:44 time: 0.348 data_time: 0.012 memory: 5150 grad_norm: 6.8653 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8337 loss: 1.8337 2022/06/28 15:38:28 - mmengine - INFO - Epoch(train) [59][2420/3757] lr: 1.000e-03 eta: 11:27:39 time: 0.192 data_time: 0.012 memory: 5150 grad_norm: 8.6131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2530 loss: 1.2530 2022/06/28 15:38:34 - mmengine - INFO - Epoch(train) [59][2440/3757] lr: 1.000e-03 eta: 11:27:34 time: 0.379 data_time: 0.012 memory: 5150 grad_norm: 7.3178 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5040 loss: 1.5040 2022/06/28 15:38:39 - mmengine - INFO - Epoch(train) [59][2460/3757] lr: 1.000e-03 eta: 11:27:28 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.2717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3234 loss: 1.3234 2022/06/28 15:38:44 - mmengine - INFO - Epoch(train) [59][2480/3757] lr: 1.000e-03 eta: 11:27:23 time: 0.276 data_time: 0.011 memory: 5150 grad_norm: 7.2547 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2700 loss: 1.2700 2022/06/28 15:38:49 - mmengine - INFO - Epoch(train) [59][2500/3757] lr: 1.000e-03 eta: 11:27:17 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.7253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2341 loss: 1.2341 2022/06/28 15:38:55 - mmengine - INFO - Epoch(train) [59][2520/3757] lr: 1.000e-03 eta: 11:27:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.8847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6980 loss: 1.6980 2022/06/28 15:39:00 - mmengine - INFO - Epoch(train) [59][2540/3757] lr: 1.000e-03 eta: 11:27:07 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.4086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4898 loss: 1.4898 2022/06/28 15:39:05 - mmengine - INFO - Epoch(train) [59][2560/3757] lr: 1.000e-03 eta: 11:27:01 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.5698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2832 loss: 1.2832 2022/06/28 15:39:10 - mmengine - INFO - Epoch(train) [59][2580/3757] lr: 1.000e-03 eta: 11:26:56 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 7.0470 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3798 loss: 1.3798 2022/06/28 15:39:16 - mmengine - INFO - Epoch(train) [59][2600/3757] lr: 1.000e-03 eta: 11:26:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.7695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/06/28 15:39:21 - mmengine - INFO - Epoch(train) [59][2620/3757] lr: 1.000e-03 eta: 11:26:45 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.9917 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4314 loss: 1.4314 2022/06/28 15:39:26 - mmengine - INFO - Epoch(train) [59][2640/3757] lr: 1.000e-03 eta: 11:26:40 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 7.0005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7768 loss: 1.7768 2022/06/28 15:39:31 - mmengine - INFO - Epoch(train) [59][2660/3757] lr: 1.000e-03 eta: 11:26:35 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.3266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/06/28 15:39:37 - mmengine - INFO - Epoch(train) [59][2680/3757] lr: 1.000e-03 eta: 11:26:30 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.7449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7021 loss: 1.7021 2022/06/28 15:39:42 - mmengine - INFO - Epoch(train) [59][2700/3757] lr: 1.000e-03 eta: 11:26:24 time: 0.754 data_time: 0.006 memory: 5150 grad_norm: 7.5032 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5065 loss: 1.5065 2022/06/28 15:39:47 - mmengine - INFO - Epoch(train) [59][2720/3757] lr: 1.000e-03 eta: 11:26:19 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.6301 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5333 loss: 1.5333 2022/06/28 15:39:53 - mmengine - INFO - Epoch(train) [59][2740/3757] lr: 1.000e-03 eta: 11:26:14 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 7.9243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2260 loss: 1.2260 2022/06/28 15:39:59 - mmengine - INFO - Epoch(train) [59][2760/3757] lr: 1.000e-03 eta: 11:26:08 time: 0.703 data_time: 0.007 memory: 5150 grad_norm: 7.9353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6515 loss: 1.6515 2022/06/28 15:40:04 - mmengine - INFO - Epoch(train) [59][2780/3757] lr: 1.000e-03 eta: 11:26:03 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.2743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1876 loss: 1.1876 2022/06/28 15:40:09 - mmengine - INFO - Epoch(train) [59][2800/3757] lr: 1.000e-03 eta: 11:25:58 time: 0.592 data_time: 0.007 memory: 5150 grad_norm: 7.2334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2337 loss: 1.2337 2022/06/28 15:40:15 - mmengine - INFO - Epoch(train) [59][2820/3757] lr: 1.000e-03 eta: 11:25:53 time: 0.302 data_time: 0.010 memory: 5150 grad_norm: 7.0970 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8850 loss: 0.8850 2022/06/28 15:40:20 - mmengine - INFO - Epoch(train) [59][2840/3757] lr: 1.000e-03 eta: 11:25:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.6780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7435 loss: 1.7435 2022/06/28 15:40:26 - mmengine - INFO - Epoch(train) [59][2860/3757] lr: 1.000e-03 eta: 11:25:42 time: 0.812 data_time: 0.007 memory: 5150 grad_norm: 6.7146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3300 loss: 1.3300 2022/06/28 15:40:31 - mmengine - INFO - Epoch(train) [59][2880/3757] lr: 1.000e-03 eta: 11:25:37 time: 0.225 data_time: 0.006 memory: 5150 grad_norm: 6.7528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/06/28 15:40:36 - mmengine - INFO - Epoch(train) [59][2900/3757] lr: 1.000e-03 eta: 11:25:31 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 8.6115 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6063 loss: 1.6063 2022/06/28 15:40:42 - mmengine - INFO - Epoch(train) [59][2920/3757] lr: 1.000e-03 eta: 11:25:26 time: 0.512 data_time: 0.012 memory: 5150 grad_norm: 7.2595 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/06/28 15:40:47 - mmengine - INFO - Epoch(train) [59][2940/3757] lr: 1.000e-03 eta: 11:25:21 time: 0.525 data_time: 0.008 memory: 5150 grad_norm: 7.5184 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3694 loss: 1.3694 2022/06/28 15:40:52 - mmengine - INFO - Epoch(train) [59][2960/3757] lr: 1.000e-03 eta: 11:25:15 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.3967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4734 loss: 1.4734 2022/06/28 15:40:57 - mmengine - INFO - Epoch(train) [59][2980/3757] lr: 1.000e-03 eta: 11:25:10 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.0861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5121 loss: 1.5121 2022/06/28 15:41:02 - mmengine - INFO - Epoch(train) [59][3000/3757] lr: 1.000e-03 eta: 11:25:05 time: 0.495 data_time: 0.011 memory: 5150 grad_norm: 7.5322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6381 loss: 1.6381 2022/06/28 15:41:08 - mmengine - INFO - Epoch(train) [59][3020/3757] lr: 1.000e-03 eta: 11:25:00 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.7860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/06/28 15:41:14 - mmengine - INFO - Epoch(train) [59][3040/3757] lr: 1.000e-03 eta: 11:24:54 time: 1.197 data_time: 0.012 memory: 5150 grad_norm: 7.6343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/06/28 15:41:18 - mmengine - INFO - Epoch(train) [59][3060/3757] lr: 1.000e-03 eta: 11:24:49 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 7.1854 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5830 loss: 1.5830 2022/06/28 15:41:24 - mmengine - INFO - Epoch(train) [59][3080/3757] lr: 1.000e-03 eta: 11:24:44 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.2545 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5548 loss: 1.5548 2022/06/28 15:41:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:41:29 - mmengine - INFO - Epoch(train) [59][3100/3757] lr: 1.000e-03 eta: 11:24:38 time: 0.740 data_time: 0.011 memory: 5150 grad_norm: 6.8936 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/06/28 15:41:35 - mmengine - INFO - Epoch(train) [59][3120/3757] lr: 1.000e-03 eta: 11:24:33 time: 1.069 data_time: 0.010 memory: 5150 grad_norm: 7.0146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0614 loss: 1.0614 2022/06/28 15:41:40 - mmengine - INFO - Epoch(train) [59][3140/3757] lr: 1.000e-03 eta: 11:24:28 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.3042 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8190 loss: 1.8190 2022/06/28 15:41:45 - mmengine - INFO - Epoch(train) [59][3160/3757] lr: 1.000e-03 eta: 11:24:22 time: 0.234 data_time: 0.010 memory: 5150 grad_norm: 6.9625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6565 loss: 1.6565 2022/06/28 15:41:50 - mmengine - INFO - Epoch(train) [59][3180/3757] lr: 1.000e-03 eta: 11:24:17 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.1309 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6508 loss: 1.6508 2022/06/28 15:41:56 - mmengine - INFO - Epoch(train) [59][3200/3757] lr: 1.000e-03 eta: 11:24:12 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.8400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2554 loss: 1.2554 2022/06/28 15:42:00 - mmengine - INFO - Epoch(train) [59][3220/3757] lr: 1.000e-03 eta: 11:24:06 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 7.2308 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4761 loss: 1.4761 2022/06/28 15:42:05 - mmengine - INFO - Epoch(train) [59][3240/3757] lr: 1.000e-03 eta: 11:24:00 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.3874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3208 loss: 1.3208 2022/06/28 15:42:11 - mmengine - INFO - Epoch(train) [59][3260/3757] lr: 1.000e-03 eta: 11:23:55 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.2084 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4508 loss: 1.4508 2022/06/28 15:42:16 - mmengine - INFO - Epoch(train) [59][3280/3757] lr: 1.000e-03 eta: 11:23:50 time: 0.670 data_time: 0.008 memory: 5150 grad_norm: 6.6931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3214 loss: 1.3214 2022/06/28 15:42:21 - mmengine - INFO - Epoch(train) [59][3300/3757] lr: 1.000e-03 eta: 11:23:44 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 5.9870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1569 loss: 1.1569 2022/06/28 15:42:27 - mmengine - INFO - Epoch(train) [59][3320/3757] lr: 1.000e-03 eta: 11:23:39 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.3270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1983 loss: 1.1983 2022/06/28 15:42:32 - mmengine - INFO - Epoch(train) [59][3340/3757] lr: 1.000e-03 eta: 11:23:34 time: 0.852 data_time: 0.007 memory: 5150 grad_norm: 6.8836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0213 loss: 1.0213 2022/06/28 15:42:37 - mmengine - INFO - Epoch(train) [59][3360/3757] lr: 1.000e-03 eta: 11:23:28 time: 0.194 data_time: 0.017 memory: 5150 grad_norm: 6.2085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5083 loss: 1.5083 2022/06/28 15:42:42 - mmengine - INFO - Epoch(train) [59][3380/3757] lr: 1.000e-03 eta: 11:23:23 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.5182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2856 loss: 1.2856 2022/06/28 15:42:48 - mmengine - INFO - Epoch(train) [59][3400/3757] lr: 1.000e-03 eta: 11:23:17 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.9577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4621 loss: 1.4621 2022/06/28 15:42:53 - mmengine - INFO - Epoch(train) [59][3420/3757] lr: 1.000e-03 eta: 11:23:12 time: 0.206 data_time: 0.018 memory: 5150 grad_norm: 7.4111 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7612 loss: 1.7612 2022/06/28 15:42:58 - mmengine - INFO - Epoch(train) [59][3440/3757] lr: 1.000e-03 eta: 11:23:06 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.8363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3686 loss: 1.3686 2022/06/28 15:43:03 - mmengine - INFO - Epoch(train) [59][3460/3757] lr: 1.000e-03 eta: 11:23:01 time: 0.426 data_time: 0.007 memory: 5150 grad_norm: 8.2673 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4566 loss: 1.4566 2022/06/28 15:43:09 - mmengine - INFO - Epoch(train) [59][3480/3757] lr: 1.000e-03 eta: 11:22:56 time: 0.205 data_time: 0.027 memory: 5150 grad_norm: 8.4333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2341 loss: 1.2341 2022/06/28 15:43:14 - mmengine - INFO - Epoch(train) [59][3500/3757] lr: 1.000e-03 eta: 11:22:51 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.9271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2090 loss: 1.2090 2022/06/28 15:43:19 - mmengine - INFO - Epoch(train) [59][3520/3757] lr: 1.000e-03 eta: 11:22:45 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.2345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3252 loss: 1.3252 2022/06/28 15:43:24 - mmengine - INFO - Epoch(train) [59][3540/3757] lr: 1.000e-03 eta: 11:22:40 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 7.0268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/06/28 15:43:30 - mmengine - INFO - Epoch(train) [59][3560/3757] lr: 1.000e-03 eta: 11:22:35 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 7.6330 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6358 loss: 1.6358 2022/06/28 15:43:35 - mmengine - INFO - Epoch(train) [59][3580/3757] lr: 1.000e-03 eta: 11:22:30 time: 0.735 data_time: 0.008 memory: 5150 grad_norm: 6.5564 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0719 loss: 1.0719 2022/06/28 15:43:40 - mmengine - INFO - Epoch(train) [59][3600/3757] lr: 1.000e-03 eta: 11:22:24 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 8.2913 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5290 loss: 1.5290 2022/06/28 15:43:47 - mmengine - INFO - Epoch(train) [59][3620/3757] lr: 1.000e-03 eta: 11:22:19 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.0418 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5096 loss: 1.5096 2022/06/28 15:43:51 - mmengine - INFO - Epoch(train) [59][3640/3757] lr: 1.000e-03 eta: 11:22:14 time: 0.843 data_time: 0.009 memory: 5150 grad_norm: 7.9531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5831 loss: 1.5831 2022/06/28 15:43:56 - mmengine - INFO - Epoch(train) [59][3660/3757] lr: 1.000e-03 eta: 11:22:08 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 7.3244 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1356 loss: 1.1356 2022/06/28 15:44:01 - mmengine - INFO - Epoch(train) [59][3680/3757] lr: 1.000e-03 eta: 11:22:03 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.7916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5679 loss: 1.5679 2022/06/28 15:44:07 - mmengine - INFO - Epoch(train) [59][3700/3757] lr: 1.000e-03 eta: 11:21:58 time: 1.039 data_time: 0.008 memory: 5150 grad_norm: 7.5686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3940 loss: 1.3940 2022/06/28 15:44:12 - mmengine - INFO - Epoch(train) [59][3720/3757] lr: 1.000e-03 eta: 11:21:52 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/06/28 15:44:17 - mmengine - INFO - Epoch(train) [59][3740/3757] lr: 1.000e-03 eta: 11:21:47 time: 0.211 data_time: 0.023 memory: 5150 grad_norm: 8.1324 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3401 loss: 1.3401 2022/06/28 15:44:21 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:44:54 - mmengine - INFO - Epoch(val) [59][20/310] eta: 0:05:37 time: 1.082 data_time: 0.427 memory: 9746 2022/06/28 15:45:15 - mmengine - INFO - Epoch(val) [59][40/310] eta: 0:04:48 time: 1.094 data_time: 0.458 memory: 9746 2022/06/28 15:45:39 - mmengine - INFO - Epoch(val) [59][60/310] eta: 0:04:16 time: 1.133 data_time: 0.477 memory: 9746 2022/06/28 15:46:02 - mmengine - INFO - Epoch(val) [59][80/310] eta: 0:04:54 time: 0.905 data_time: 0.237 memory: 9746 2022/06/28 15:46:26 - mmengine - INFO - Epoch(val) [59][100/310] eta: 0:04:08 time: 2.769 data_time: 2.095 memory: 9746 2022/06/28 15:46:47 - mmengine - INFO - Epoch(val) [59][120/310] eta: 0:03:21 time: 1.148 data_time: 0.484 memory: 9746 2022/06/28 15:47:11 - mmengine - INFO - Epoch(val) [59][140/310] eta: 0:03:13 time: 1.148 data_time: 0.505 memory: 9746 2022/06/28 15:47:36 - mmengine - INFO - Epoch(val) [59][160/310] eta: 0:03:17 time: 3.466 data_time: 2.804 memory: 9746 2022/06/28 15:48:00 - mmengine - INFO - Epoch(val) [59][180/310] eta: 0:02:55 time: 1.019 data_time: 0.372 memory: 9746 2022/06/28 15:48:22 - mmengine - INFO - Epoch(val) [59][200/310] eta: 0:02:03 time: 1.104 data_time: 0.440 memory: 9746 2022/06/28 15:48:44 - mmengine - INFO - Epoch(val) [59][220/310] eta: 0:01:38 time: 1.193 data_time: 0.522 memory: 9746 2022/06/28 15:49:05 - mmengine - INFO - Epoch(val) [59][240/310] eta: 0:01:13 time: 0.844 data_time: 0.194 memory: 9746 2022/06/28 15:49:28 - mmengine - INFO - Epoch(val) [59][260/310] eta: 0:00:56 time: 1.025 data_time: 0.370 memory: 9746 2022/06/28 15:49:52 - mmengine - INFO - Epoch(val) [59][280/310] eta: 0:00:34 time: 1.924 data_time: 1.306 memory: 9746 2022/06/28 15:50:11 - mmengine - INFO - Epoch(val) [59][300/310] eta: 0:00:09 time: 0.644 data_time: 0.078 memory: 9746 2022/06/28 15:50:24 - mmengine - INFO - Epoch(val) [59][310/310] acc/top1: 0.7058 acc/top5: 0.8972 acc/mean1: 0.7058 2022/06/28 15:50:32 - mmengine - INFO - Epoch(train) [60][20/3757] lr: 1.000e-03 eta: 11:21:37 time: 0.218 data_time: 0.008 memory: 9746 grad_norm: 7.3610 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5345 loss: 1.5345 2022/06/28 15:50:38 - mmengine - INFO - Epoch(train) [60][40/3757] lr: 1.000e-03 eta: 11:21:32 time: 0.201 data_time: 0.025 memory: 5150 grad_norm: 7.7964 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2565 loss: 1.2565 2022/06/28 15:50:43 - mmengine - INFO - Epoch(train) [60][60/3757] lr: 1.000e-03 eta: 11:21:26 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.0912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6315 loss: 1.6315 2022/06/28 15:50:48 - mmengine - INFO - Epoch(train) [60][80/3757] lr: 1.000e-03 eta: 11:21:21 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 7.6225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7603 loss: 1.7603 2022/06/28 15:50:54 - mmengine - INFO - Epoch(train) [60][100/3757] lr: 1.000e-03 eta: 11:21:16 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 8.1709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6150 loss: 1.6150 2022/06/28 15:50:59 - mmengine - INFO - Epoch(train) [60][120/3757] lr: 1.000e-03 eta: 11:21:11 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 6.8298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/06/28 15:51:04 - mmengine - INFO - Epoch(train) [60][140/3757] lr: 1.000e-03 eta: 11:21:05 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.8350 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2248 loss: 1.2248 2022/06/28 15:51:10 - mmengine - INFO - Epoch(train) [60][160/3757] lr: 1.000e-03 eta: 11:21:00 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.6279 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2392 loss: 1.2392 2022/06/28 15:51:15 - mmengine - INFO - Epoch(train) [60][180/3757] lr: 1.000e-03 eta: 11:20:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.1357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5906 loss: 1.5906 2022/06/28 15:51:20 - mmengine - INFO - Epoch(train) [60][200/3757] lr: 1.000e-03 eta: 11:20:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.5060 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1413 loss: 1.1413 2022/06/28 15:51:27 - mmengine - INFO - Epoch(train) [60][220/3757] lr: 1.000e-03 eta: 11:20:45 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 7.6068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5273 loss: 1.5273 2022/06/28 15:51:31 - mmengine - INFO - Epoch(train) [60][240/3757] lr: 1.000e-03 eta: 11:20:39 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.7694 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5611 loss: 1.5611 2022/06/28 15:51:36 - mmengine - INFO - Epoch(train) [60][260/3757] lr: 1.000e-03 eta: 11:20:33 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.5118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4391 loss: 1.4391 2022/06/28 15:51:41 - mmengine - INFO - Epoch(train) [60][280/3757] lr: 1.000e-03 eta: 11:20:28 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.7405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/06/28 15:51:46 - mmengine - INFO - Epoch(train) [60][300/3757] lr: 1.000e-03 eta: 11:20:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.9501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6640 loss: 1.6640 2022/06/28 15:51:52 - mmengine - INFO - Epoch(train) [60][320/3757] lr: 1.000e-03 eta: 11:20:17 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 6.6051 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8229 loss: 1.8229 2022/06/28 15:51:56 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:51:57 - mmengine - INFO - Epoch(train) [60][340/3757] lr: 1.000e-03 eta: 11:20:12 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.2764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4473 loss: 1.4473 2022/06/28 15:52:02 - mmengine - INFO - Epoch(train) [60][360/3757] lr: 1.000e-03 eta: 11:20:06 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.8478 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3569 loss: 1.3569 2022/06/28 15:52:07 - mmengine - INFO - Epoch(train) [60][380/3757] lr: 1.000e-03 eta: 11:20:01 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.4423 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/06/28 15:52:13 - mmengine - INFO - Epoch(train) [60][400/3757] lr: 1.000e-03 eta: 11:19:56 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 7.8613 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2960 loss: 1.2960 2022/06/28 15:52:18 - mmengine - INFO - Epoch(train) [60][420/3757] lr: 1.000e-03 eta: 11:19:50 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4884 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6694 loss: 1.6694 2022/06/28 15:52:24 - mmengine - INFO - Epoch(train) [60][440/3757] lr: 1.000e-03 eta: 11:19:45 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.1351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8162 loss: 1.8162 2022/06/28 15:52:29 - mmengine - INFO - Epoch(train) [60][460/3757] lr: 1.000e-03 eta: 11:19:40 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 7.0624 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/06/28 15:52:34 - mmengine - INFO - Epoch(train) [60][480/3757] lr: 1.000e-03 eta: 11:19:34 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.5893 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6329 loss: 1.6329 2022/06/28 15:52:39 - mmengine - INFO - Epoch(train) [60][500/3757] lr: 1.000e-03 eta: 11:19:29 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.9802 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7970 loss: 1.7970 2022/06/28 15:52:45 - mmengine - INFO - Epoch(train) [60][520/3757] lr: 1.000e-03 eta: 11:19:24 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 8.3928 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4794 loss: 1.4794 2022/06/28 15:52:49 - mmengine - INFO - Epoch(train) [60][540/3757] lr: 1.000e-03 eta: 11:19:18 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.6130 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/06/28 15:52:55 - mmengine - INFO - Epoch(train) [60][560/3757] lr: 1.000e-03 eta: 11:19:13 time: 0.386 data_time: 0.007 memory: 5150 grad_norm: 6.7012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3651 loss: 1.3651 2022/06/28 15:53:01 - mmengine - INFO - Epoch(train) [60][580/3757] lr: 1.000e-03 eta: 11:19:08 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 7.1993 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3248 loss: 1.3248 2022/06/28 15:53:06 - mmengine - INFO - Epoch(train) [60][600/3757] lr: 1.000e-03 eta: 11:19:03 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.3346 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4273 loss: 1.4273 2022/06/28 15:53:11 - mmengine - INFO - Epoch(train) [60][620/3757] lr: 1.000e-03 eta: 11:18:57 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.4884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/06/28 15:53:17 - mmengine - INFO - Epoch(train) [60][640/3757] lr: 1.000e-03 eta: 11:18:52 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 7.3433 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1829 loss: 1.1829 2022/06/28 15:53:22 - mmengine - INFO - Epoch(train) [60][660/3757] lr: 1.000e-03 eta: 11:18:47 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.6969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2638 loss: 1.2638 2022/06/28 15:53:28 - mmengine - INFO - Epoch(train) [60][680/3757] lr: 1.000e-03 eta: 11:18:42 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.4307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/06/28 15:53:33 - mmengine - INFO - Epoch(train) [60][700/3757] lr: 1.000e-03 eta: 11:18:36 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 7.5331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/06/28 15:53:38 - mmengine - INFO - Epoch(train) [60][720/3757] lr: 1.000e-03 eta: 11:18:31 time: 0.242 data_time: 0.011 memory: 5150 grad_norm: 6.4736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4880 loss: 1.4880 2022/06/28 15:53:44 - mmengine - INFO - Epoch(train) [60][740/3757] lr: 1.000e-03 eta: 11:18:26 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.2447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0912 loss: 1.0912 2022/06/28 15:53:49 - mmengine - INFO - Epoch(train) [60][760/3757] lr: 1.000e-03 eta: 11:18:21 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 6.9346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1365 loss: 1.1365 2022/06/28 15:53:54 - mmengine - INFO - Epoch(train) [60][780/3757] lr: 1.000e-03 eta: 11:18:15 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.2557 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2947 loss: 1.2947 2022/06/28 15:54:00 - mmengine - INFO - Epoch(train) [60][800/3757] lr: 1.000e-03 eta: 11:18:10 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.7171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/06/28 15:54:06 - mmengine - INFO - Epoch(train) [60][820/3757] lr: 1.000e-03 eta: 11:18:05 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 7.2484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1415 loss: 1.1415 2022/06/28 15:54:10 - mmengine - INFO - Epoch(train) [60][840/3757] lr: 1.000e-03 eta: 11:17:59 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 6.2254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3834 loss: 1.3834 2022/06/28 15:54:16 - mmengine - INFO - Epoch(train) [60][860/3757] lr: 1.000e-03 eta: 11:17:54 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.1336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3045 loss: 1.3045 2022/06/28 15:54:22 - mmengine - INFO - Epoch(train) [60][880/3757] lr: 1.000e-03 eta: 11:17:49 time: 0.202 data_time: 0.032 memory: 5150 grad_norm: 7.5034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/06/28 15:54:27 - mmengine - INFO - Epoch(train) [60][900/3757] lr: 1.000e-03 eta: 11:17:44 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 5.7483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4521 loss: 1.4521 2022/06/28 15:54:32 - mmengine - INFO - Epoch(train) [60][920/3757] lr: 1.000e-03 eta: 11:17:38 time: 0.627 data_time: 0.007 memory: 5150 grad_norm: 6.5925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3015 loss: 1.3015 2022/06/28 15:54:38 - mmengine - INFO - Epoch(train) [60][940/3757] lr: 1.000e-03 eta: 11:17:33 time: 0.215 data_time: 0.025 memory: 5150 grad_norm: 8.3036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9423 loss: 0.9423 2022/06/28 15:54:43 - mmengine - INFO - Epoch(train) [60][960/3757] lr: 1.000e-03 eta: 11:17:28 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 7.4375 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4068 loss: 1.4068 2022/06/28 15:54:48 - mmengine - INFO - Epoch(train) [60][980/3757] lr: 1.000e-03 eta: 11:17:23 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.8480 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6045 loss: 1.6045 2022/06/28 15:54:54 - mmengine - INFO - Epoch(train) [60][1000/3757] lr: 1.000e-03 eta: 11:17:17 time: 0.210 data_time: 0.035 memory: 5150 grad_norm: 6.5547 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5583 loss: 1.5583 2022/06/28 15:54:59 - mmengine - INFO - Epoch(train) [60][1020/3757] lr: 1.000e-03 eta: 11:17:12 time: 0.477 data_time: 0.024 memory: 5150 grad_norm: 7.8061 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3885 loss: 1.3885 2022/06/28 15:55:04 - mmengine - INFO - Epoch(train) [60][1040/3757] lr: 1.000e-03 eta: 11:17:06 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5417 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3236 loss: 1.3236 2022/06/28 15:55:10 - mmengine - INFO - Epoch(train) [60][1060/3757] lr: 1.000e-03 eta: 11:17:01 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 8.2528 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4620 loss: 1.4620 2022/06/28 15:55:14 - mmengine - INFO - Epoch(train) [60][1080/3757] lr: 1.000e-03 eta: 11:16:56 time: 0.249 data_time: 0.016 memory: 5150 grad_norm: 6.3614 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5800 loss: 1.5800 2022/06/28 15:55:20 - mmengine - INFO - Epoch(train) [60][1100/3757] lr: 1.000e-03 eta: 11:16:51 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6322 loss: 1.6322 2022/06/28 15:55:26 - mmengine - INFO - Epoch(train) [60][1120/3757] lr: 1.000e-03 eta: 11:16:46 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 7.4608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5682 loss: 1.5682 2022/06/28 15:55:31 - mmengine - INFO - Epoch(train) [60][1140/3757] lr: 1.000e-03 eta: 11:16:40 time: 0.244 data_time: 0.022 memory: 5150 grad_norm: 7.0800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3891 loss: 1.3891 2022/06/28 15:55:36 - mmengine - INFO - Epoch(train) [60][1160/3757] lr: 1.000e-03 eta: 11:16:35 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2617 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5509 loss: 1.5509 2022/06/28 15:55:42 - mmengine - INFO - Epoch(train) [60][1180/3757] lr: 1.000e-03 eta: 11:16:30 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.8005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2933 loss: 1.2933 2022/06/28 15:55:47 - mmengine - INFO - Epoch(train) [60][1200/3757] lr: 1.000e-03 eta: 11:16:24 time: 0.219 data_time: 0.018 memory: 5150 grad_norm: 6.4547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0745 loss: 1.0745 2022/06/28 15:55:52 - mmengine - INFO - Epoch(train) [60][1220/3757] lr: 1.000e-03 eta: 11:16:19 time: 0.239 data_time: 0.014 memory: 5150 grad_norm: 8.2621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1091 loss: 1.1091 2022/06/28 15:55:58 - mmengine - INFO - Epoch(train) [60][1240/3757] lr: 1.000e-03 eta: 11:16:14 time: 0.210 data_time: 0.018 memory: 5150 grad_norm: 6.8898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1526 loss: 1.1526 2022/06/28 15:56:03 - mmengine - INFO - Epoch(train) [60][1260/3757] lr: 1.000e-03 eta: 11:16:08 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 7.7037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1442 loss: 1.1442 2022/06/28 15:56:08 - mmengine - INFO - Epoch(train) [60][1280/3757] lr: 1.000e-03 eta: 11:16:03 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.2278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/06/28 15:56:14 - mmengine - INFO - Epoch(train) [60][1300/3757] lr: 1.000e-03 eta: 11:15:58 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.5940 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2344 loss: 1.2344 2022/06/28 15:56:19 - mmengine - INFO - Epoch(train) [60][1320/3757] lr: 1.000e-03 eta: 11:15:52 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 8.0480 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2704 loss: 1.2704 2022/06/28 15:56:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 15:56:24 - mmengine - INFO - Epoch(train) [60][1340/3757] lr: 1.000e-03 eta: 11:15:47 time: 0.241 data_time: 0.013 memory: 5150 grad_norm: 8.3116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/06/28 15:56:29 - mmengine - INFO - Epoch(train) [60][1360/3757] lr: 1.000e-03 eta: 11:15:41 time: 0.208 data_time: 0.021 memory: 5150 grad_norm: 7.4127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0938 loss: 1.0938 2022/06/28 15:56:34 - mmengine - INFO - Epoch(train) [60][1380/3757] lr: 1.000e-03 eta: 11:15:36 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4417 loss: 1.4417 2022/06/28 15:56:40 - mmengine - INFO - Epoch(train) [60][1400/3757] lr: 1.000e-03 eta: 11:15:31 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 6.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/06/28 15:56:45 - mmengine - INFO - Epoch(train) [60][1420/3757] lr: 1.000e-03 eta: 11:15:25 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.9404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6791 loss: 1.6791 2022/06/28 15:56:50 - mmengine - INFO - Epoch(train) [60][1440/3757] lr: 1.000e-03 eta: 11:15:20 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.0179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4782 loss: 1.4782 2022/06/28 15:56:56 - mmengine - INFO - Epoch(train) [60][1460/3757] lr: 1.000e-03 eta: 11:15:15 time: 0.324 data_time: 0.008 memory: 5150 grad_norm: 7.3394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/06/28 15:57:01 - mmengine - INFO - Epoch(train) [60][1480/3757] lr: 1.000e-03 eta: 11:15:10 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 7.1538 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3756 loss: 1.3756 2022/06/28 15:57:06 - mmengine - INFO - Epoch(train) [60][1500/3757] lr: 1.000e-03 eta: 11:15:04 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.6103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/06/28 15:57:12 - mmengine - INFO - Epoch(train) [60][1520/3757] lr: 1.000e-03 eta: 11:14:59 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.3583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/06/28 15:57:17 - mmengine - INFO - Epoch(train) [60][1540/3757] lr: 1.000e-03 eta: 11:14:54 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 7.5387 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/06/28 15:57:22 - mmengine - INFO - Epoch(train) [60][1560/3757] lr: 1.000e-03 eta: 11:14:48 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.9850 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3690 loss: 1.3690 2022/06/28 15:57:27 - mmengine - INFO - Epoch(train) [60][1580/3757] lr: 1.000e-03 eta: 11:14:43 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 6.6414 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6468 loss: 1.6468 2022/06/28 15:57:33 - mmengine - INFO - Epoch(train) [60][1600/3757] lr: 1.000e-03 eta: 11:14:38 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 8.6477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4432 loss: 1.4432 2022/06/28 15:57:38 - mmengine - INFO - Epoch(train) [60][1620/3757] lr: 1.000e-03 eta: 11:14:32 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.9795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3675 loss: 1.3675 2022/06/28 15:57:44 - mmengine - INFO - Epoch(train) [60][1640/3757] lr: 1.000e-03 eta: 11:14:27 time: 0.583 data_time: 0.007 memory: 5150 grad_norm: 8.1214 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8923 loss: 1.8923 2022/06/28 15:57:48 - mmengine - INFO - Epoch(train) [60][1660/3757] lr: 1.000e-03 eta: 11:14:21 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 6.6588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/06/28 15:57:54 - mmengine - INFO - Epoch(train) [60][1680/3757] lr: 1.000e-03 eta: 11:14:16 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.6243 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4738 loss: 1.4738 2022/06/28 15:58:00 - mmengine - INFO - Epoch(train) [60][1700/3757] lr: 1.000e-03 eta: 11:14:11 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 6.6604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/28 15:58:04 - mmengine - INFO - Epoch(train) [60][1720/3757] lr: 1.000e-03 eta: 11:14:05 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 6.9567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/06/28 15:58:10 - mmengine - INFO - Epoch(train) [60][1740/3757] lr: 1.000e-03 eta: 11:14:00 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 7.6483 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5758 loss: 1.5758 2022/06/28 15:58:16 - mmengine - INFO - Epoch(train) [60][1760/3757] lr: 1.000e-03 eta: 11:13:56 time: 0.801 data_time: 0.007 memory: 5150 grad_norm: 6.8264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2904 loss: 1.2904 2022/06/28 15:58:21 - mmengine - INFO - Epoch(train) [60][1780/3757] lr: 1.000e-03 eta: 11:13:50 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 7.7404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1897 loss: 1.1897 2022/06/28 15:58:26 - mmengine - INFO - Epoch(train) [60][1800/3757] lr: 1.000e-03 eta: 11:13:45 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.7136 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4475 loss: 1.4475 2022/06/28 15:58:32 - mmengine - INFO - Epoch(train) [60][1820/3757] lr: 1.000e-03 eta: 11:13:40 time: 0.990 data_time: 0.007 memory: 5150 grad_norm: 8.0681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/06/28 15:58:37 - mmengine - INFO - Epoch(train) [60][1840/3757] lr: 1.000e-03 eta: 11:13:34 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 8.0080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/06/28 15:58:43 - mmengine - INFO - Epoch(train) [60][1860/3757] lr: 1.000e-03 eta: 11:13:29 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.5605 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2457 loss: 1.2457 2022/06/28 15:58:49 - mmengine - INFO - Epoch(train) [60][1880/3757] lr: 1.000e-03 eta: 11:13:24 time: 0.568 data_time: 0.007 memory: 5150 grad_norm: 6.8490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2176 loss: 1.2176 2022/06/28 15:58:53 - mmengine - INFO - Epoch(train) [60][1900/3757] lr: 1.000e-03 eta: 11:13:18 time: 0.227 data_time: 0.013 memory: 5150 grad_norm: 8.5942 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3508 loss: 1.3508 2022/06/28 15:58:59 - mmengine - INFO - Epoch(train) [60][1920/3757] lr: 1.000e-03 eta: 11:13:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4451 loss: 1.4451 2022/06/28 15:59:04 - mmengine - INFO - Epoch(train) [60][1940/3757] lr: 1.000e-03 eta: 11:13:08 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 7.3024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0713 loss: 1.0713 2022/06/28 15:59:09 - mmengine - INFO - Epoch(train) [60][1960/3757] lr: 1.000e-03 eta: 11:13:02 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.8277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/06/28 15:59:14 - mmengine - INFO - Epoch(train) [60][1980/3757] lr: 1.000e-03 eta: 11:12:57 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.8916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7363 loss: 1.7363 2022/06/28 15:59:20 - mmengine - INFO - Epoch(train) [60][2000/3757] lr: 1.000e-03 eta: 11:12:51 time: 0.213 data_time: 0.018 memory: 5150 grad_norm: 8.3426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0338 loss: 1.0338 2022/06/28 15:59:24 - mmengine - INFO - Epoch(train) [60][2020/3757] lr: 1.000e-03 eta: 11:12:46 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 8.2264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5263 loss: 1.5263 2022/06/28 15:59:30 - mmengine - INFO - Epoch(train) [60][2040/3757] lr: 1.000e-03 eta: 11:12:41 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 8.8500 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5215 loss: 1.5215 2022/06/28 15:59:36 - mmengine - INFO - Epoch(train) [60][2060/3757] lr: 1.000e-03 eta: 11:12:36 time: 0.217 data_time: 0.014 memory: 5150 grad_norm: 8.3125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4197 loss: 1.4197 2022/06/28 15:59:41 - mmengine - INFO - Epoch(train) [60][2080/3757] lr: 1.000e-03 eta: 11:12:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.8741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/06/28 15:59:46 - mmengine - INFO - Epoch(train) [60][2100/3757] lr: 1.000e-03 eta: 11:12:25 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.0570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/06/28 15:59:52 - mmengine - INFO - Epoch(train) [60][2120/3757] lr: 1.000e-03 eta: 11:12:20 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.9740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/06/28 15:59:57 - mmengine - INFO - Epoch(train) [60][2140/3757] lr: 1.000e-03 eta: 11:12:14 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 6.9005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2739 loss: 1.2739 2022/06/28 16:00:02 - mmengine - INFO - Epoch(train) [60][2160/3757] lr: 1.000e-03 eta: 11:12:09 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.2205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2261 loss: 1.2261 2022/06/28 16:00:08 - mmengine - INFO - Epoch(train) [60][2180/3757] lr: 1.000e-03 eta: 11:12:04 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.5255 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5296 loss: 1.5296 2022/06/28 16:00:13 - mmengine - INFO - Epoch(train) [60][2200/3757] lr: 1.000e-03 eta: 11:11:58 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1998 loss: 1.1998 2022/06/28 16:00:18 - mmengine - INFO - Epoch(train) [60][2220/3757] lr: 1.000e-03 eta: 11:11:53 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 8.9041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7865 loss: 1.7865 2022/06/28 16:00:24 - mmengine - INFO - Epoch(train) [60][2240/3757] lr: 1.000e-03 eta: 11:11:48 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/06/28 16:00:29 - mmengine - INFO - Epoch(train) [60][2260/3757] lr: 1.000e-03 eta: 11:11:42 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.8852 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1681 loss: 1.1681 2022/06/28 16:00:34 - mmengine - INFO - Epoch(train) [60][2280/3757] lr: 1.000e-03 eta: 11:11:37 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.8335 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2004 loss: 1.2004 2022/06/28 16:00:40 - mmengine - INFO - Epoch(train) [60][2300/3757] lr: 1.000e-03 eta: 11:11:32 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.3676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2700 loss: 1.2700 2022/06/28 16:00:45 - mmengine - INFO - Epoch(train) [60][2320/3757] lr: 1.000e-03 eta: 11:11:27 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 6.9477 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4627 loss: 1.4627 2022/06/28 16:00:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:00:50 - mmengine - INFO - Epoch(train) [60][2340/3757] lr: 1.000e-03 eta: 11:11:21 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.6606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6149 loss: 1.6149 2022/06/28 16:00:56 - mmengine - INFO - Epoch(train) [60][2360/3757] lr: 1.000e-03 eta: 11:11:16 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 6.0522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3146 loss: 1.3146 2022/06/28 16:01:01 - mmengine - INFO - Epoch(train) [60][2380/3757] lr: 1.000e-03 eta: 11:11:11 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.5227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/06/28 16:01:07 - mmengine - INFO - Epoch(train) [60][2400/3757] lr: 1.000e-03 eta: 11:11:06 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.1249 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3996 loss: 1.3996 2022/06/28 16:01:11 - mmengine - INFO - Epoch(train) [60][2420/3757] lr: 1.000e-03 eta: 11:11:00 time: 0.314 data_time: 0.006 memory: 5150 grad_norm: 7.3904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/06/28 16:01:17 - mmengine - INFO - Epoch(train) [60][2440/3757] lr: 1.000e-03 eta: 11:10:55 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 7.8001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6464 loss: 1.6464 2022/06/28 16:01:22 - mmengine - INFO - Epoch(train) [60][2460/3757] lr: 1.000e-03 eta: 11:10:49 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 6.3434 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7652 loss: 1.7652 2022/06/28 16:01:28 - mmengine - INFO - Epoch(train) [60][2480/3757] lr: 1.000e-03 eta: 11:10:44 time: 0.573 data_time: 0.009 memory: 5150 grad_norm: 8.1363 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3827 loss: 1.3827 2022/06/28 16:01:33 - mmengine - INFO - Epoch(train) [60][2500/3757] lr: 1.000e-03 eta: 11:10:39 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.6332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2195 loss: 1.2195 2022/06/28 16:01:39 - mmengine - INFO - Epoch(train) [60][2520/3757] lr: 1.000e-03 eta: 11:10:34 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.1750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7124 loss: 1.7124 2022/06/28 16:01:44 - mmengine - INFO - Epoch(train) [60][2540/3757] lr: 1.000e-03 eta: 11:10:28 time: 0.367 data_time: 0.018 memory: 5150 grad_norm: 7.6520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6145 loss: 1.6145 2022/06/28 16:01:49 - mmengine - INFO - Epoch(train) [60][2560/3757] lr: 1.000e-03 eta: 11:10:23 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.8013 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1004 loss: 1.1004 2022/06/28 16:01:55 - mmengine - INFO - Epoch(train) [60][2580/3757] lr: 1.000e-03 eta: 11:10:18 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.9813 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2905 loss: 1.2905 2022/06/28 16:02:00 - mmengine - INFO - Epoch(train) [60][2600/3757] lr: 1.000e-03 eta: 11:10:13 time: 0.926 data_time: 0.007 memory: 5150 grad_norm: 7.2118 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5665 loss: 1.5665 2022/06/28 16:02:05 - mmengine - INFO - Epoch(train) [60][2620/3757] lr: 1.000e-03 eta: 11:10:07 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.3148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3725 loss: 1.3725 2022/06/28 16:02:11 - mmengine - INFO - Epoch(train) [60][2640/3757] lr: 1.000e-03 eta: 11:10:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.8281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4381 loss: 1.4381 2022/06/28 16:02:15 - mmengine - INFO - Epoch(train) [60][2660/3757] lr: 1.000e-03 eta: 11:09:56 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 7.6980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3485 loss: 1.3485 2022/06/28 16:02:21 - mmengine - INFO - Epoch(train) [60][2680/3757] lr: 1.000e-03 eta: 11:09:51 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 5.7445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1073 loss: 1.1073 2022/06/28 16:02:26 - mmengine - INFO - Epoch(train) [60][2700/3757] lr: 1.000e-03 eta: 11:09:45 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 8.1000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/06/28 16:02:32 - mmengine - INFO - Epoch(train) [60][2720/3757] lr: 1.000e-03 eta: 11:09:40 time: 1.074 data_time: 0.019 memory: 5150 grad_norm: 8.0283 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4103 loss: 1.4103 2022/06/28 16:02:36 - mmengine - INFO - Epoch(train) [60][2740/3757] lr: 1.000e-03 eta: 11:09:35 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 6.9255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5657 loss: 1.5657 2022/06/28 16:02:42 - mmengine - INFO - Epoch(train) [60][2760/3757] lr: 1.000e-03 eta: 11:09:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.6100 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5312 loss: 1.5312 2022/06/28 16:02:48 - mmengine - INFO - Epoch(train) [60][2780/3757] lr: 1.000e-03 eta: 11:09:25 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 8.2227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7068 loss: 1.7068 2022/06/28 16:02:53 - mmengine - INFO - Epoch(train) [60][2800/3757] lr: 1.000e-03 eta: 11:09:19 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.7643 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.5673 loss: 1.5673 2022/06/28 16:02:59 - mmengine - INFO - Epoch(train) [60][2820/3757] lr: 1.000e-03 eta: 11:09:14 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.9483 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4120 loss: 1.4120 2022/06/28 16:03:03 - mmengine - INFO - Epoch(train) [60][2840/3757] lr: 1.000e-03 eta: 11:09:08 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.6610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4681 loss: 1.4681 2022/06/28 16:03:09 - mmengine - INFO - Epoch(train) [60][2860/3757] lr: 1.000e-03 eta: 11:09:03 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.1464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2084 loss: 1.2084 2022/06/28 16:03:14 - mmengine - INFO - Epoch(train) [60][2880/3757] lr: 1.000e-03 eta: 11:08:58 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.4451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3712 loss: 1.3712 2022/06/28 16:03:19 - mmengine - INFO - Epoch(train) [60][2900/3757] lr: 1.000e-03 eta: 11:08:52 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 6.7050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4369 loss: 1.4369 2022/06/28 16:03:25 - mmengine - INFO - Epoch(train) [60][2920/3757] lr: 1.000e-03 eta: 11:08:47 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.8543 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2528 loss: 1.2528 2022/06/28 16:03:30 - mmengine - INFO - Epoch(train) [60][2940/3757] lr: 1.000e-03 eta: 11:08:42 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 7.3981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3579 loss: 1.3579 2022/06/28 16:03:35 - mmengine - INFO - Epoch(train) [60][2960/3757] lr: 1.000e-03 eta: 11:08:36 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 7.1613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4825 loss: 1.4825 2022/06/28 16:03:41 - mmengine - INFO - Epoch(train) [60][2980/3757] lr: 1.000e-03 eta: 11:08:31 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 5.5772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3082 loss: 1.3082 2022/06/28 16:03:46 - mmengine - INFO - Epoch(train) [60][3000/3757] lr: 1.000e-03 eta: 11:08:26 time: 0.598 data_time: 0.007 memory: 5150 grad_norm: 7.1034 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4742 loss: 1.4742 2022/06/28 16:03:51 - mmengine - INFO - Epoch(train) [60][3020/3757] lr: 1.000e-03 eta: 11:08:20 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 7.0179 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3639 loss: 1.3639 2022/06/28 16:03:56 - mmengine - INFO - Epoch(train) [60][3040/3757] lr: 1.000e-03 eta: 11:08:15 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 7.2764 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2187 loss: 1.2187 2022/06/28 16:04:02 - mmengine - INFO - Epoch(train) [60][3060/3757] lr: 1.000e-03 eta: 11:08:10 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 6.8964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/06/28 16:04:07 - mmengine - INFO - Epoch(train) [60][3080/3757] lr: 1.000e-03 eta: 11:08:05 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.0264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1340 loss: 1.1340 2022/06/28 16:04:13 - mmengine - INFO - Epoch(train) [60][3100/3757] lr: 1.000e-03 eta: 11:07:59 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.1387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/06/28 16:04:17 - mmengine - INFO - Epoch(train) [60][3120/3757] lr: 1.000e-03 eta: 11:07:54 time: 0.257 data_time: 0.010 memory: 5150 grad_norm: 8.5134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3448 loss: 1.3448 2022/06/28 16:04:23 - mmengine - INFO - Epoch(train) [60][3140/3757] lr: 1.000e-03 eta: 11:07:48 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.4859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1107 loss: 1.1107 2022/06/28 16:04:28 - mmengine - INFO - Epoch(train) [60][3160/3757] lr: 1.000e-03 eta: 11:07:43 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.7025 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4215 loss: 1.4215 2022/06/28 16:04:33 - mmengine - INFO - Epoch(train) [60][3180/3757] lr: 1.000e-03 eta: 11:07:38 time: 0.470 data_time: 0.011 memory: 5150 grad_norm: 7.3877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4323 loss: 1.4323 2022/06/28 16:04:38 - mmengine - INFO - Epoch(train) [60][3200/3757] lr: 1.000e-03 eta: 11:07:32 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.5431 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7890 loss: 1.7890 2022/06/28 16:04:43 - mmengine - INFO - Epoch(train) [60][3220/3757] lr: 1.000e-03 eta: 11:07:27 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/06/28 16:04:49 - mmengine - INFO - Epoch(train) [60][3240/3757] lr: 1.000e-03 eta: 11:07:22 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 6.6003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3723 loss: 1.3723 2022/06/28 16:04:54 - mmengine - INFO - Epoch(train) [60][3260/3757] lr: 1.000e-03 eta: 11:07:16 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.7410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2675 loss: 1.2675 2022/06/28 16:04:59 - mmengine - INFO - Epoch(train) [60][3280/3757] lr: 1.000e-03 eta: 11:07:11 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.1600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1768 loss: 1.1768 2022/06/28 16:05:05 - mmengine - INFO - Epoch(train) [60][3300/3757] lr: 1.000e-03 eta: 11:07:06 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 7.6374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4451 loss: 1.4451 2022/06/28 16:05:11 - mmengine - INFO - Epoch(train) [60][3320/3757] lr: 1.000e-03 eta: 11:07:01 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.2683 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7934 loss: 1.7934 2022/06/28 16:05:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:05:16 - mmengine - INFO - Epoch(train) [60][3340/3757] lr: 1.000e-03 eta: 11:06:55 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.6234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4583 loss: 1.4583 2022/06/28 16:05:21 - mmengine - INFO - Epoch(train) [60][3360/3757] lr: 1.000e-03 eta: 11:06:50 time: 0.199 data_time: 0.017 memory: 5150 grad_norm: 6.9462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5691 loss: 1.5691 2022/06/28 16:05:27 - mmengine - INFO - Epoch(train) [60][3380/3757] lr: 1.000e-03 eta: 11:06:45 time: 0.421 data_time: 0.011 memory: 5150 grad_norm: 9.3445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4501 loss: 1.4501 2022/06/28 16:05:31 - mmengine - INFO - Epoch(train) [60][3400/3757] lr: 1.000e-03 eta: 11:06:39 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 7.6812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5664 loss: 1.5664 2022/06/28 16:05:37 - mmengine - INFO - Epoch(train) [60][3420/3757] lr: 1.000e-03 eta: 11:06:34 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.2086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7123 loss: 1.7123 2022/06/28 16:05:43 - mmengine - INFO - Epoch(train) [60][3440/3757] lr: 1.000e-03 eta: 11:06:29 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 9.4350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3086 loss: 1.3086 2022/06/28 16:05:47 - mmengine - INFO - Epoch(train) [60][3460/3757] lr: 1.000e-03 eta: 11:06:23 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 6.8076 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/06/28 16:05:53 - mmengine - INFO - Epoch(train) [60][3480/3757] lr: 1.000e-03 eta: 11:06:18 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 8.8416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4367 loss: 1.4367 2022/06/28 16:05:58 - mmengine - INFO - Epoch(train) [60][3500/3757] lr: 1.000e-03 eta: 11:06:13 time: 0.217 data_time: 0.044 memory: 5150 grad_norm: 7.4362 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3759 loss: 1.3759 2022/06/28 16:06:03 - mmengine - INFO - Epoch(train) [60][3520/3757] lr: 1.000e-03 eta: 11:06:07 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 7.6209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1445 loss: 1.1445 2022/06/28 16:06:09 - mmengine - INFO - Epoch(train) [60][3540/3757] lr: 1.000e-03 eta: 11:06:02 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 5.9188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3392 loss: 1.3392 2022/06/28 16:06:14 - mmengine - INFO - Epoch(train) [60][3560/3757] lr: 1.000e-03 eta: 11:05:56 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 8.1170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0803 loss: 1.0803 2022/06/28 16:06:19 - mmengine - INFO - Epoch(train) [60][3580/3757] lr: 1.000e-03 eta: 11:05:51 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 7.2236 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3296 loss: 1.3296 2022/06/28 16:06:24 - mmengine - INFO - Epoch(train) [60][3600/3757] lr: 1.000e-03 eta: 11:05:46 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 8.4315 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4949 loss: 1.4949 2022/06/28 16:06:30 - mmengine - INFO - Epoch(train) [60][3620/3757] lr: 1.000e-03 eta: 11:05:41 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 7.2871 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4202 loss: 1.4202 2022/06/28 16:06:35 - mmengine - INFO - Epoch(train) [60][3640/3757] lr: 1.000e-03 eta: 11:05:35 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 8.0413 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4899 loss: 1.4899 2022/06/28 16:06:40 - mmengine - INFO - Epoch(train) [60][3660/3757] lr: 1.000e-03 eta: 11:05:29 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 6.8029 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2266 loss: 1.2266 2022/06/28 16:06:45 - mmengine - INFO - Epoch(train) [60][3680/3757] lr: 1.000e-03 eta: 11:05:24 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 8.9175 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3799 loss: 1.3799 2022/06/28 16:06:51 - mmengine - INFO - Epoch(train) [60][3700/3757] lr: 1.000e-03 eta: 11:05:19 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.5336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6591 loss: 1.6591 2022/06/28 16:06:56 - mmengine - INFO - Epoch(train) [60][3720/3757] lr: 1.000e-03 eta: 11:05:14 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.9180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/06/28 16:07:02 - mmengine - INFO - Epoch(train) [60][3740/3757] lr: 1.000e-03 eta: 11:05:09 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2041 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2429 loss: 1.2429 2022/06/28 16:07:05 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:07:05 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/06/28 16:07:40 - mmengine - INFO - Epoch(val) [60][20/310] eta: 0:05:29 time: 0.952 data_time: 0.313 memory: 9746 2022/06/28 16:08:02 - mmengine - INFO - Epoch(val) [60][40/310] eta: 0:04:56 time: 1.143 data_time: 0.504 memory: 9746 2022/06/28 16:08:25 - mmengine - INFO - Epoch(val) [60][60/310] eta: 0:04:21 time: 1.084 data_time: 0.439 memory: 9746 2022/06/28 16:08:50 - mmengine - INFO - Epoch(val) [60][80/310] eta: 0:05:30 time: 1.054 data_time: 0.392 memory: 9746 2022/06/28 16:09:14 - mmengine - INFO - Epoch(val) [60][100/310] eta: 0:04:06 time: 2.347 data_time: 1.679 memory: 9746 2022/06/28 16:09:34 - mmengine - INFO - Epoch(val) [60][120/310] eta: 0:03:19 time: 1.012 data_time: 0.365 memory: 9746 2022/06/28 16:09:59 - mmengine - INFO - Epoch(val) [60][140/310] eta: 0:03:25 time: 1.117 data_time: 0.478 memory: 9746 2022/06/28 16:10:24 - mmengine - INFO - Epoch(val) [60][160/310] eta: 0:03:24 time: 4.306 data_time: 3.651 memory: 9746 2022/06/28 16:10:47 - mmengine - INFO - Epoch(val) [60][180/310] eta: 0:02:44 time: 0.983 data_time: 0.338 memory: 9746 2022/06/28 16:11:10 - mmengine - INFO - Epoch(val) [60][200/310] eta: 0:02:13 time: 1.062 data_time: 0.406 memory: 9746 2022/06/28 16:11:31 - mmengine - INFO - Epoch(val) [60][220/310] eta: 0:01:36 time: 1.016 data_time: 0.378 memory: 9746 2022/06/28 16:11:52 - mmengine - INFO - Epoch(val) [60][240/310] eta: 0:01:14 time: 0.950 data_time: 0.314 memory: 9746 2022/06/28 16:12:15 - mmengine - INFO - Epoch(val) [60][260/310] eta: 0:00:57 time: 1.101 data_time: 0.472 memory: 9746 2022/06/28 16:12:39 - mmengine - INFO - Epoch(val) [60][280/310] eta: 0:00:33 time: 1.777 data_time: 1.131 memory: 9746 2022/06/28 16:12:57 - mmengine - INFO - Epoch(val) [60][300/310] eta: 0:00:08 time: 0.628 data_time: 0.063 memory: 9746 2022/06/28 16:13:08 - mmengine - INFO - Epoch(val) [60][310/310] acc/top1: 0.7076 acc/top5: 0.8979 acc/mean1: 0.7075 2022/06/28 16:13:17 - mmengine - INFO - Epoch(train) [61][20/3757] lr: 1.000e-03 eta: 11:04:59 time: 0.202 data_time: 0.007 memory: 9746 grad_norm: 7.7602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4869 loss: 1.4869 2022/06/28 16:13:22 - mmengine - INFO - Epoch(train) [61][40/3757] lr: 1.000e-03 eta: 11:04:54 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.8309 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2229 loss: 1.2229 2022/06/28 16:13:27 - mmengine - INFO - Epoch(train) [61][60/3757] lr: 1.000e-03 eta: 11:04:49 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 7.6657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3498 loss: 1.3498 2022/06/28 16:13:33 - mmengine - INFO - Epoch(train) [61][80/3757] lr: 1.000e-03 eta: 11:04:43 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.1327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1613 loss: 1.1613 2022/06/28 16:13:39 - mmengine - INFO - Epoch(train) [61][100/3757] lr: 1.000e-03 eta: 11:04:39 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.2413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/06/28 16:13:44 - mmengine - INFO - Epoch(train) [61][120/3757] lr: 1.000e-03 eta: 11:04:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.7433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2888 loss: 1.2888 2022/06/28 16:13:50 - mmengine - INFO - Epoch(train) [61][140/3757] lr: 1.000e-03 eta: 11:04:28 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 6.6396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/06/28 16:13:55 - mmengine - INFO - Epoch(train) [61][160/3757] lr: 1.000e-03 eta: 11:04:23 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.7831 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5915 loss: 1.5915 2022/06/28 16:14:00 - mmengine - INFO - Epoch(train) [61][180/3757] lr: 1.000e-03 eta: 11:04:17 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.2194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3340 loss: 1.3340 2022/06/28 16:14:06 - mmengine - INFO - Epoch(train) [61][200/3757] lr: 1.000e-03 eta: 11:04:12 time: 0.212 data_time: 0.026 memory: 5150 grad_norm: 7.1999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6070 loss: 1.6070 2022/06/28 16:14:11 - mmengine - INFO - Epoch(train) [61][220/3757] lr: 1.000e-03 eta: 11:04:07 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 8.6360 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/06/28 16:14:16 - mmengine - INFO - Epoch(train) [61][240/3757] lr: 1.000e-03 eta: 11:04:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.2110 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2448 loss: 1.2448 2022/06/28 16:14:21 - mmengine - INFO - Epoch(train) [61][260/3757] lr: 1.000e-03 eta: 11:03:56 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 7.3332 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0885 loss: 1.0885 2022/06/28 16:14:27 - mmengine - INFO - Epoch(train) [61][280/3757] lr: 1.000e-03 eta: 11:03:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.3661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5642 loss: 1.5642 2022/06/28 16:14:32 - mmengine - INFO - Epoch(train) [61][300/3757] lr: 1.000e-03 eta: 11:03:45 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.6183 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/06/28 16:14:37 - mmengine - INFO - Epoch(train) [61][320/3757] lr: 1.000e-03 eta: 11:03:40 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.6505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5165 loss: 1.5165 2022/06/28 16:14:43 - mmengine - INFO - Epoch(train) [61][340/3757] lr: 1.000e-03 eta: 11:03:35 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 7.8096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6554 loss: 1.6554 2022/06/28 16:14:48 - mmengine - INFO - Epoch(train) [61][360/3757] lr: 1.000e-03 eta: 11:03:30 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 8.5278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1516 loss: 1.1516 2022/06/28 16:14:54 - mmengine - INFO - Epoch(train) [61][380/3757] lr: 1.000e-03 eta: 11:03:25 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 8.9566 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8254 loss: 1.8254 2022/06/28 16:14:59 - mmengine - INFO - Epoch(train) [61][400/3757] lr: 1.000e-03 eta: 11:03:19 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3012 loss: 1.3012 2022/06/28 16:15:05 - mmengine - INFO - Epoch(train) [61][420/3757] lr: 1.000e-03 eta: 11:03:14 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 8.0739 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4588 loss: 1.4588 2022/06/28 16:15:10 - mmengine - INFO - Epoch(train) [61][440/3757] lr: 1.000e-03 eta: 11:03:09 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 7.7127 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3155 loss: 1.3155 2022/06/28 16:15:16 - mmengine - INFO - Epoch(train) [61][460/3757] lr: 1.000e-03 eta: 11:03:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.0066 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4934 loss: 1.4934 2022/06/28 16:15:20 - mmengine - INFO - Epoch(train) [61][480/3757] lr: 1.000e-03 eta: 11:02:58 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.1634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/06/28 16:15:26 - mmengine - INFO - Epoch(train) [61][500/3757] lr: 1.000e-03 eta: 11:02:53 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 8.1742 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4868 loss: 1.4868 2022/06/28 16:15:32 - mmengine - INFO - Epoch(train) [61][520/3757] lr: 1.000e-03 eta: 11:02:48 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 5.6585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4314 loss: 1.4314 2022/06/28 16:15:37 - mmengine - INFO - Epoch(train) [61][540/3757] lr: 1.000e-03 eta: 11:02:42 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.6078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4310 loss: 1.4310 2022/06/28 16:15:42 - mmengine - INFO - Epoch(train) [61][560/3757] lr: 1.000e-03 eta: 11:02:37 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 6.6541 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9608 loss: 0.9608 2022/06/28 16:15:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:15:48 - mmengine - INFO - Epoch(train) [61][580/3757] lr: 1.000e-03 eta: 11:02:32 time: 0.304 data_time: 0.034 memory: 5150 grad_norm: 7.7977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4174 loss: 1.4174 2022/06/28 16:15:53 - mmengine - INFO - Epoch(train) [61][600/3757] lr: 1.000e-03 eta: 11:02:26 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.7468 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5990 loss: 1.5990 2022/06/28 16:15:59 - mmengine - INFO - Epoch(train) [61][620/3757] lr: 1.000e-03 eta: 11:02:21 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.8030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3917 loss: 1.3917 2022/06/28 16:16:03 - mmengine - INFO - Epoch(train) [61][640/3757] lr: 1.000e-03 eta: 11:02:16 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.4835 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7759 loss: 1.7759 2022/06/28 16:16:09 - mmengine - INFO - Epoch(train) [61][660/3757] lr: 1.000e-03 eta: 11:02:10 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.5698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3193 loss: 1.3193 2022/06/28 16:16:14 - mmengine - INFO - Epoch(train) [61][680/3757] lr: 1.000e-03 eta: 11:02:05 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.0027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/06/28 16:16:20 - mmengine - INFO - Epoch(train) [61][700/3757] lr: 1.000e-03 eta: 11:02:00 time: 1.007 data_time: 0.007 memory: 5150 grad_norm: 6.9496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3419 loss: 1.3419 2022/06/28 16:16:25 - mmengine - INFO - Epoch(train) [61][720/3757] lr: 1.000e-03 eta: 11:01:55 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.2292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9259 loss: 0.9259 2022/06/28 16:16:31 - mmengine - INFO - Epoch(train) [61][740/3757] lr: 1.000e-03 eta: 11:01:50 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.8807 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1937 loss: 1.1937 2022/06/28 16:16:36 - mmengine - INFO - Epoch(train) [61][760/3757] lr: 1.000e-03 eta: 11:01:44 time: 0.770 data_time: 0.008 memory: 5150 grad_norm: 7.0019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/06/28 16:16:41 - mmengine - INFO - Epoch(train) [61][780/3757] lr: 1.000e-03 eta: 11:01:39 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.8313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1606 loss: 1.1606 2022/06/28 16:16:46 - mmengine - INFO - Epoch(train) [61][800/3757] lr: 1.000e-03 eta: 11:01:33 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 7.6464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2750 loss: 1.2750 2022/06/28 16:16:52 - mmengine - INFO - Epoch(train) [61][820/3757] lr: 1.000e-03 eta: 11:01:28 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.6264 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7653 loss: 1.7653 2022/06/28 16:16:57 - mmengine - INFO - Epoch(train) [61][840/3757] lr: 1.000e-03 eta: 11:01:23 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.4051 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2996 loss: 1.2996 2022/06/28 16:17:03 - mmengine - INFO - Epoch(train) [61][860/3757] lr: 1.000e-03 eta: 11:01:18 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.5790 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4779 loss: 1.4779 2022/06/28 16:17:09 - mmengine - INFO - Epoch(train) [61][880/3757] lr: 1.000e-03 eta: 11:01:13 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 8.4010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4224 loss: 1.4224 2022/06/28 16:17:14 - mmengine - INFO - Epoch(train) [61][900/3757] lr: 1.000e-03 eta: 11:01:07 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.6123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6606 loss: 1.6606 2022/06/28 16:17:18 - mmengine - INFO - Epoch(train) [61][920/3757] lr: 1.000e-03 eta: 11:01:01 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.8878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1805 loss: 1.1805 2022/06/28 16:17:23 - mmengine - INFO - Epoch(train) [61][940/3757] lr: 1.000e-03 eta: 11:00:56 time: 0.257 data_time: 0.008 memory: 5150 grad_norm: 6.9815 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1327 loss: 1.1327 2022/06/28 16:17:29 - mmengine - INFO - Epoch(train) [61][960/3757] lr: 1.000e-03 eta: 11:00:51 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.0401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5765 loss: 1.5765 2022/06/28 16:17:34 - mmengine - INFO - Epoch(train) [61][980/3757] lr: 1.000e-03 eta: 11:00:45 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 7.9591 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4638 loss: 1.4638 2022/06/28 16:17:39 - mmengine - INFO - Epoch(train) [61][1000/3757] lr: 1.000e-03 eta: 11:00:40 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.0298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4782 loss: 1.4782 2022/06/28 16:17:44 - mmengine - INFO - Epoch(train) [61][1020/3757] lr: 1.000e-03 eta: 11:00:34 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.8084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/06/28 16:17:50 - mmengine - INFO - Epoch(train) [61][1040/3757] lr: 1.000e-03 eta: 11:00:29 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 7.9350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4543 loss: 1.4543 2022/06/28 16:17:55 - mmengine - INFO - Epoch(train) [61][1060/3757] lr: 1.000e-03 eta: 11:00:24 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.1448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2419 loss: 1.2419 2022/06/28 16:18:00 - mmengine - INFO - Epoch(train) [61][1080/3757] lr: 1.000e-03 eta: 11:00:18 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.5763 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4504 loss: 1.4504 2022/06/28 16:18:05 - mmengine - INFO - Epoch(train) [61][1100/3757] lr: 1.000e-03 eta: 11:00:13 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.8142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4018 loss: 1.4018 2022/06/28 16:18:11 - mmengine - INFO - Epoch(train) [61][1120/3757] lr: 1.000e-03 eta: 11:00:08 time: 0.836 data_time: 0.007 memory: 5150 grad_norm: 7.3051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4033 loss: 1.4033 2022/06/28 16:18:16 - mmengine - INFO - Epoch(train) [61][1140/3757] lr: 1.000e-03 eta: 11:00:03 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.3752 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2772 loss: 1.2772 2022/06/28 16:18:22 - mmengine - INFO - Epoch(train) [61][1160/3757] lr: 1.000e-03 eta: 10:59:58 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.4108 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/06/28 16:18:27 - mmengine - INFO - Epoch(train) [61][1180/3757] lr: 1.000e-03 eta: 10:59:52 time: 0.521 data_time: 0.007 memory: 5150 grad_norm: 7.9047 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.8845 loss: 0.8845 2022/06/28 16:18:32 - mmengine - INFO - Epoch(train) [61][1200/3757] lr: 1.000e-03 eta: 10:59:47 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.3663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/06/28 16:18:38 - mmengine - INFO - Epoch(train) [61][1220/3757] lr: 1.000e-03 eta: 10:59:41 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 6.1527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2323 loss: 1.2323 2022/06/28 16:18:43 - mmengine - INFO - Epoch(train) [61][1240/3757] lr: 1.000e-03 eta: 10:59:36 time: 0.561 data_time: 0.011 memory: 5150 grad_norm: 5.7697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3443 loss: 1.3443 2022/06/28 16:18:48 - mmengine - INFO - Epoch(train) [61][1260/3757] lr: 1.000e-03 eta: 10:59:31 time: 0.357 data_time: 0.007 memory: 5150 grad_norm: 8.3270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4689 loss: 1.4689 2022/06/28 16:18:54 - mmengine - INFO - Epoch(train) [61][1280/3757] lr: 1.000e-03 eta: 10:59:26 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 8.0673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4980 loss: 1.4980 2022/06/28 16:18:59 - mmengine - INFO - Epoch(train) [61][1300/3757] lr: 1.000e-03 eta: 10:59:20 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 9.2845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5973 loss: 1.5973 2022/06/28 16:19:04 - mmengine - INFO - Epoch(train) [61][1320/3757] lr: 1.000e-03 eta: 10:59:15 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.0431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1012 loss: 1.1012 2022/06/28 16:19:10 - mmengine - INFO - Epoch(train) [61][1340/3757] lr: 1.000e-03 eta: 10:59:10 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 8.4007 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6370 loss: 1.6370 2022/06/28 16:19:15 - mmengine - INFO - Epoch(train) [61][1360/3757] lr: 1.000e-03 eta: 10:59:04 time: 0.650 data_time: 0.012 memory: 5150 grad_norm: 6.9489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1250 loss: 1.1250 2022/06/28 16:19:20 - mmengine - INFO - Epoch(train) [61][1380/3757] lr: 1.000e-03 eta: 10:58:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.0503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/06/28 16:19:25 - mmengine - INFO - Epoch(train) [61][1400/3757] lr: 1.000e-03 eta: 10:58:54 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.1664 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6555 loss: 1.6555 2022/06/28 16:19:31 - mmengine - INFO - Epoch(train) [61][1420/3757] lr: 1.000e-03 eta: 10:58:48 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.0834 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4266 loss: 1.4266 2022/06/28 16:19:36 - mmengine - INFO - Epoch(train) [61][1440/3757] lr: 1.000e-03 eta: 10:58:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.4520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0817 loss: 1.0817 2022/06/28 16:19:41 - mmengine - INFO - Epoch(train) [61][1460/3757] lr: 1.000e-03 eta: 10:58:38 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.6573 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6549 loss: 1.6549 2022/06/28 16:19:47 - mmengine - INFO - Epoch(train) [61][1480/3757] lr: 1.000e-03 eta: 10:58:32 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 6.3167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2312 loss: 1.2312 2022/06/28 16:19:52 - mmengine - INFO - Epoch(train) [61][1500/3757] lr: 1.000e-03 eta: 10:58:27 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1598 loss: 1.1598 2022/06/28 16:19:57 - mmengine - INFO - Epoch(train) [61][1520/3757] lr: 1.000e-03 eta: 10:58:22 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.2055 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2801 loss: 1.2801 2022/06/28 16:20:03 - mmengine - INFO - Epoch(train) [61][1540/3757] lr: 1.000e-03 eta: 10:58:17 time: 0.522 data_time: 0.013 memory: 5150 grad_norm: 6.6121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4320 loss: 1.4320 2022/06/28 16:20:09 - mmengine - INFO - Epoch(train) [61][1560/3757] lr: 1.000e-03 eta: 10:58:12 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.0059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4531 loss: 1.4531 2022/06/28 16:20:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:20:13 - mmengine - INFO - Epoch(train) [61][1580/3757] lr: 1.000e-03 eta: 10:58:06 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.6327 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8652 loss: 1.8652 2022/06/28 16:20:18 - mmengine - INFO - Epoch(train) [61][1600/3757] lr: 1.000e-03 eta: 10:58:00 time: 0.358 data_time: 0.010 memory: 5150 grad_norm: 7.1202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6007 loss: 1.6007 2022/06/28 16:20:24 - mmengine - INFO - Epoch(train) [61][1620/3757] lr: 1.000e-03 eta: 10:57:55 time: 0.271 data_time: 0.010 memory: 5150 grad_norm: 7.8574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4176 loss: 1.4176 2022/06/28 16:20:29 - mmengine - INFO - Epoch(train) [61][1640/3757] lr: 1.000e-03 eta: 10:57:50 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.0076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6032 loss: 1.6032 2022/06/28 16:20:35 - mmengine - INFO - Epoch(train) [61][1660/3757] lr: 1.000e-03 eta: 10:57:45 time: 0.864 data_time: 0.018 memory: 5150 grad_norm: 7.2796 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0815 loss: 1.0815 2022/06/28 16:20:40 - mmengine - INFO - Epoch(train) [61][1680/3757] lr: 1.000e-03 eta: 10:57:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.2050 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3245 loss: 1.3245 2022/06/28 16:20:45 - mmengine - INFO - Epoch(train) [61][1700/3757] lr: 1.000e-03 eta: 10:57:34 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.5471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7517 loss: 1.7517 2022/06/28 16:20:50 - mmengine - INFO - Epoch(train) [61][1720/3757] lr: 1.000e-03 eta: 10:57:28 time: 0.739 data_time: 0.010 memory: 5150 grad_norm: 7.8152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/06/28 16:20:56 - mmengine - INFO - Epoch(train) [61][1740/3757] lr: 1.000e-03 eta: 10:57:23 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 7.9069 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6238 loss: 1.6238 2022/06/28 16:21:01 - mmengine - INFO - Epoch(train) [61][1760/3757] lr: 1.000e-03 eta: 10:57:18 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.9167 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0093 loss: 1.0093 2022/06/28 16:21:07 - mmengine - INFO - Epoch(train) [61][1780/3757] lr: 1.000e-03 eta: 10:57:13 time: 0.762 data_time: 0.011 memory: 5150 grad_norm: 7.0228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7412 loss: 1.7412 2022/06/28 16:21:11 - mmengine - INFO - Epoch(train) [61][1800/3757] lr: 1.000e-03 eta: 10:57:07 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.1027 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3524 loss: 1.3524 2022/06/28 16:21:17 - mmengine - INFO - Epoch(train) [61][1820/3757] lr: 1.000e-03 eta: 10:57:02 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.3690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4879 loss: 1.4879 2022/06/28 16:21:22 - mmengine - INFO - Epoch(train) [61][1840/3757] lr: 1.000e-03 eta: 10:56:57 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 7.0651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/06/28 16:21:28 - mmengine - INFO - Epoch(train) [61][1860/3757] lr: 1.000e-03 eta: 10:56:51 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.1674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2036 loss: 1.2036 2022/06/28 16:21:33 - mmengine - INFO - Epoch(train) [61][1880/3757] lr: 1.000e-03 eta: 10:56:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.4920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/06/28 16:21:39 - mmengine - INFO - Epoch(train) [61][1900/3757] lr: 1.000e-03 eta: 10:56:41 time: 1.473 data_time: 0.010 memory: 5150 grad_norm: 7.5337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4645 loss: 1.4645 2022/06/28 16:21:43 - mmengine - INFO - Epoch(train) [61][1920/3757] lr: 1.000e-03 eta: 10:56:35 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.7861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4990 loss: 1.4990 2022/06/28 16:21:49 - mmengine - INFO - Epoch(train) [61][1940/3757] lr: 1.000e-03 eta: 10:56:30 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.9251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3186 loss: 1.3186 2022/06/28 16:21:54 - mmengine - INFO - Epoch(train) [61][1960/3757] lr: 1.000e-03 eta: 10:56:25 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 6.5028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5094 loss: 1.5094 2022/06/28 16:21:59 - mmengine - INFO - Epoch(train) [61][1980/3757] lr: 1.000e-03 eta: 10:56:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.2202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2816 loss: 1.2816 2022/06/28 16:22:04 - mmengine - INFO - Epoch(train) [61][2000/3757] lr: 1.000e-03 eta: 10:56:14 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 5.6712 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2447 loss: 1.2447 2022/06/28 16:22:10 - mmengine - INFO - Epoch(train) [61][2020/3757] lr: 1.000e-03 eta: 10:56:09 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.2380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5601 loss: 1.5601 2022/06/28 16:22:15 - mmengine - INFO - Epoch(train) [61][2040/3757] lr: 1.000e-03 eta: 10:56:03 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.4810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/06/28 16:22:21 - mmengine - INFO - Epoch(train) [61][2060/3757] lr: 1.000e-03 eta: 10:55:58 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.0943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3957 loss: 1.3957 2022/06/28 16:22:26 - mmengine - INFO - Epoch(train) [61][2080/3757] lr: 1.000e-03 eta: 10:55:52 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 7.8715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/06/28 16:22:31 - mmengine - INFO - Epoch(train) [61][2100/3757] lr: 1.000e-03 eta: 10:55:47 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.6250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5215 loss: 1.5215 2022/06/28 16:22:36 - mmengine - INFO - Epoch(train) [61][2120/3757] lr: 1.000e-03 eta: 10:55:42 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.2128 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4002 loss: 1.4002 2022/06/28 16:22:41 - mmengine - INFO - Epoch(train) [61][2140/3757] lr: 1.000e-03 eta: 10:55:36 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 7.3671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1144 loss: 1.1144 2022/06/28 16:22:47 - mmengine - INFO - Epoch(train) [61][2160/3757] lr: 1.000e-03 eta: 10:55:32 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.0957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2578 loss: 1.2578 2022/06/28 16:22:52 - mmengine - INFO - Epoch(train) [61][2180/3757] lr: 1.000e-03 eta: 10:55:26 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/28 16:22:58 - mmengine - INFO - Epoch(train) [61][2200/3757] lr: 1.000e-03 eta: 10:55:21 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.1535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2983 loss: 1.2983 2022/06/28 16:23:03 - mmengine - INFO - Epoch(train) [61][2220/3757] lr: 1.000e-03 eta: 10:55:15 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.5779 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4450 loss: 1.4450 2022/06/28 16:23:09 - mmengine - INFO - Epoch(train) [61][2240/3757] lr: 1.000e-03 eta: 10:55:10 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 7.7439 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3638 loss: 1.3638 2022/06/28 16:23:14 - mmengine - INFO - Epoch(train) [61][2260/3757] lr: 1.000e-03 eta: 10:55:05 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.3597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/06/28 16:23:20 - mmengine - INFO - Epoch(train) [61][2280/3757] lr: 1.000e-03 eta: 10:55:00 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.1489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0074 loss: 1.0074 2022/06/28 16:23:24 - mmengine - INFO - Epoch(train) [61][2300/3757] lr: 1.000e-03 eta: 10:54:54 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 6.8571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3089 loss: 1.3089 2022/06/28 16:23:30 - mmengine - INFO - Epoch(train) [61][2320/3757] lr: 1.000e-03 eta: 10:54:49 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.5258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4619 loss: 1.4619 2022/06/28 16:23:36 - mmengine - INFO - Epoch(train) [61][2340/3757] lr: 1.000e-03 eta: 10:54:44 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.0690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5842 loss: 1.5842 2022/06/28 16:23:41 - mmengine - INFO - Epoch(train) [61][2360/3757] lr: 1.000e-03 eta: 10:54:39 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.9538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2544 loss: 1.2544 2022/06/28 16:23:47 - mmengine - INFO - Epoch(train) [61][2380/3757] lr: 1.000e-03 eta: 10:54:33 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.4854 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5054 loss: 1.5054 2022/06/28 16:23:52 - mmengine - INFO - Epoch(train) [61][2400/3757] lr: 1.000e-03 eta: 10:54:28 time: 0.220 data_time: 0.009 memory: 5150 grad_norm: 7.7062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1140 loss: 1.1140 2022/06/28 16:23:56 - mmengine - INFO - Epoch(train) [61][2420/3757] lr: 1.000e-03 eta: 10:54:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.3817 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2782 loss: 1.2782 2022/06/28 16:24:02 - mmengine - INFO - Epoch(train) [61][2440/3757] lr: 1.000e-03 eta: 10:54:17 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 7.5857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2611 loss: 1.2611 2022/06/28 16:24:08 - mmengine - INFO - Epoch(train) [61][2460/3757] lr: 1.000e-03 eta: 10:54:12 time: 0.241 data_time: 0.007 memory: 5150 grad_norm: 8.0261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5072 loss: 1.5072 2022/06/28 16:24:12 - mmengine - INFO - Epoch(train) [61][2480/3757] lr: 1.000e-03 eta: 10:54:06 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 5.9624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5115 loss: 1.5115 2022/06/28 16:24:18 - mmengine - INFO - Epoch(train) [61][2500/3757] lr: 1.000e-03 eta: 10:54:02 time: 0.248 data_time: 0.014 memory: 5150 grad_norm: 6.3477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/06/28 16:24:24 - mmengine - INFO - Epoch(train) [61][2520/3757] lr: 1.000e-03 eta: 10:53:56 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 6.2291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2662 loss: 1.2662 2022/06/28 16:24:29 - mmengine - INFO - Epoch(train) [61][2540/3757] lr: 1.000e-03 eta: 10:53:51 time: 0.237 data_time: 0.018 memory: 5150 grad_norm: 8.9081 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4121 loss: 1.4121 2022/06/28 16:24:34 - mmengine - INFO - Epoch(train) [61][2560/3757] lr: 1.000e-03 eta: 10:53:46 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0730 loss: 1.0730 2022/06/28 16:24:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:24:39 - mmengine - INFO - Epoch(train) [61][2580/3757] lr: 1.000e-03 eta: 10:53:40 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.9888 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4168 loss: 1.4168 2022/06/28 16:24:44 - mmengine - INFO - Epoch(train) [61][2600/3757] lr: 1.000e-03 eta: 10:53:34 time: 0.429 data_time: 0.010 memory: 5150 grad_norm: 6.9524 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3100 loss: 1.3100 2022/06/28 16:24:51 - mmengine - INFO - Epoch(train) [61][2620/3757] lr: 1.000e-03 eta: 10:53:30 time: 0.214 data_time: 0.013 memory: 5150 grad_norm: 6.9599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2705 loss: 1.2705 2022/06/28 16:24:55 - mmengine - INFO - Epoch(train) [61][2640/3757] lr: 1.000e-03 eta: 10:53:24 time: 0.221 data_time: 0.013 memory: 5150 grad_norm: 7.2342 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/28 16:25:00 - mmengine - INFO - Epoch(train) [61][2660/3757] lr: 1.000e-03 eta: 10:53:18 time: 0.226 data_time: 0.010 memory: 5150 grad_norm: 7.0366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/06/28 16:25:06 - mmengine - INFO - Epoch(train) [61][2680/3757] lr: 1.000e-03 eta: 10:53:13 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 6.9308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5123 loss: 1.5123 2022/06/28 16:25:12 - mmengine - INFO - Epoch(train) [61][2700/3757] lr: 1.000e-03 eta: 10:53:08 time: 0.798 data_time: 0.026 memory: 5150 grad_norm: 7.9194 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7130 loss: 1.7130 2022/06/28 16:25:16 - mmengine - INFO - Epoch(train) [61][2720/3757] lr: 1.000e-03 eta: 10:53:03 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 7.2668 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2531 loss: 1.2531 2022/06/28 16:25:22 - mmengine - INFO - Epoch(train) [61][2740/3757] lr: 1.000e-03 eta: 10:52:58 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 6.5746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5259 loss: 1.5259 2022/06/28 16:25:27 - mmengine - INFO - Epoch(train) [61][2760/3757] lr: 1.000e-03 eta: 10:52:52 time: 0.361 data_time: 0.113 memory: 5150 grad_norm: 7.7132 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8263 loss: 0.8263 2022/06/28 16:25:32 - mmengine - INFO - Epoch(train) [61][2780/3757] lr: 1.000e-03 eta: 10:52:47 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 7.3217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2426 loss: 1.2426 2022/06/28 16:25:38 - mmengine - INFO - Epoch(train) [61][2800/3757] lr: 1.000e-03 eta: 10:52:42 time: 0.934 data_time: 0.007 memory: 5150 grad_norm: 6.3134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2310 loss: 1.2310 2022/06/28 16:25:44 - mmengine - INFO - Epoch(train) [61][2820/3757] lr: 1.000e-03 eta: 10:52:37 time: 0.203 data_time: 0.028 memory: 5150 grad_norm: 7.5685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3051 loss: 1.3051 2022/06/28 16:25:49 - mmengine - INFO - Epoch(train) [61][2840/3757] lr: 1.000e-03 eta: 10:52:31 time: 0.200 data_time: 0.023 memory: 5150 grad_norm: 7.4445 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2411 loss: 1.2411 2022/06/28 16:25:55 - mmengine - INFO - Epoch(train) [61][2860/3757] lr: 1.000e-03 eta: 10:52:26 time: 0.350 data_time: 0.007 memory: 5150 grad_norm: 7.2657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/06/28 16:26:00 - mmengine - INFO - Epoch(train) [61][2880/3757] lr: 1.000e-03 eta: 10:52:21 time: 0.215 data_time: 0.034 memory: 5150 grad_norm: 6.5658 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4439 loss: 1.4439 2022/06/28 16:26:05 - mmengine - INFO - Epoch(train) [61][2900/3757] lr: 1.000e-03 eta: 10:52:15 time: 0.196 data_time: 0.018 memory: 5150 grad_norm: 7.0012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6582 loss: 1.6582 2022/06/28 16:26:11 - mmengine - INFO - Epoch(train) [61][2920/3757] lr: 1.000e-03 eta: 10:52:10 time: 0.698 data_time: 0.007 memory: 5150 grad_norm: 7.8615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4057 loss: 1.4057 2022/06/28 16:26:16 - mmengine - INFO - Epoch(train) [61][2940/3757] lr: 1.000e-03 eta: 10:52:05 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 9.1290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3270 loss: 1.3270 2022/06/28 16:26:21 - mmengine - INFO - Epoch(train) [61][2960/3757] lr: 1.000e-03 eta: 10:51:59 time: 0.212 data_time: 0.040 memory: 5150 grad_norm: 7.1396 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5657 loss: 1.5657 2022/06/28 16:26:26 - mmengine - INFO - Epoch(train) [61][2980/3757] lr: 1.000e-03 eta: 10:51:54 time: 0.853 data_time: 0.011 memory: 5150 grad_norm: 6.8102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3111 loss: 1.3111 2022/06/28 16:26:32 - mmengine - INFO - Epoch(train) [61][3000/3757] lr: 1.000e-03 eta: 10:51:49 time: 0.211 data_time: 0.025 memory: 5150 grad_norm: 7.6403 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4221 loss: 1.4221 2022/06/28 16:26:37 - mmengine - INFO - Epoch(train) [61][3020/3757] lr: 1.000e-03 eta: 10:51:44 time: 0.203 data_time: 0.026 memory: 5150 grad_norm: 7.0836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2909 loss: 1.2909 2022/06/28 16:26:42 - mmengine - INFO - Epoch(train) [61][3040/3757] lr: 1.000e-03 eta: 10:51:38 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 6.8607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5725 loss: 1.5725 2022/06/28 16:26:48 - mmengine - INFO - Epoch(train) [61][3060/3757] lr: 1.000e-03 eta: 10:51:33 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 8.3106 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1551 loss: 1.1551 2022/06/28 16:26:53 - mmengine - INFO - Epoch(train) [61][3080/3757] lr: 1.000e-03 eta: 10:51:28 time: 0.209 data_time: 0.030 memory: 5150 grad_norm: 7.2291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3704 loss: 1.3704 2022/06/28 16:26:59 - mmengine - INFO - Epoch(train) [61][3100/3757] lr: 1.000e-03 eta: 10:51:23 time: 0.568 data_time: 0.007 memory: 5150 grad_norm: 7.8793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5917 loss: 1.5917 2022/06/28 16:27:04 - mmengine - INFO - Epoch(train) [61][3120/3757] lr: 1.000e-03 eta: 10:51:17 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 7.5033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/06/28 16:27:09 - mmengine - INFO - Epoch(train) [61][3140/3757] lr: 1.000e-03 eta: 10:51:12 time: 0.239 data_time: 0.046 memory: 5150 grad_norm: 7.0008 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4028 loss: 1.4028 2022/06/28 16:27:14 - mmengine - INFO - Epoch(train) [61][3160/3757] lr: 1.000e-03 eta: 10:51:06 time: 0.800 data_time: 0.007 memory: 5150 grad_norm: 8.5226 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4620 loss: 1.4620 2022/06/28 16:27:20 - mmengine - INFO - Epoch(train) [61][3180/3757] lr: 1.000e-03 eta: 10:51:01 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.6381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6014 loss: 1.6014 2022/06/28 16:27:25 - mmengine - INFO - Epoch(train) [61][3200/3757] lr: 1.000e-03 eta: 10:50:56 time: 0.269 data_time: 0.088 memory: 5150 grad_norm: 7.6608 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3035 loss: 1.3035 2022/06/28 16:27:31 - mmengine - INFO - Epoch(train) [61][3220/3757] lr: 1.000e-03 eta: 10:50:51 time: 0.394 data_time: 0.007 memory: 5150 grad_norm: 7.8048 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6721 loss: 1.6721 2022/06/28 16:27:36 - mmengine - INFO - Epoch(train) [61][3240/3757] lr: 1.000e-03 eta: 10:50:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.8948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1572 loss: 1.1572 2022/06/28 16:27:41 - mmengine - INFO - Epoch(train) [61][3260/3757] lr: 1.000e-03 eta: 10:50:40 time: 0.216 data_time: 0.022 memory: 5150 grad_norm: 8.6139 top1_acc: 0.2500 top5_acc: 0.2500 loss_cls: 1.5587 loss: 1.5587 2022/06/28 16:27:47 - mmengine - INFO - Epoch(train) [61][3280/3757] lr: 1.000e-03 eta: 10:50:35 time: 0.272 data_time: 0.007 memory: 5150 grad_norm: 7.7931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5976 loss: 1.5976 2022/06/28 16:27:52 - mmengine - INFO - Epoch(train) [61][3300/3757] lr: 1.000e-03 eta: 10:50:29 time: 0.319 data_time: 0.007 memory: 5150 grad_norm: 5.9474 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/06/28 16:27:57 - mmengine - INFO - Epoch(train) [61][3320/3757] lr: 1.000e-03 eta: 10:50:24 time: 0.210 data_time: 0.018 memory: 5150 grad_norm: 7.0730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6937 loss: 1.6937 2022/06/28 16:28:03 - mmengine - INFO - Epoch(train) [61][3340/3757] lr: 1.000e-03 eta: 10:50:19 time: 0.340 data_time: 0.007 memory: 5150 grad_norm: 7.1894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9479 loss: 0.9479 2022/06/28 16:28:08 - mmengine - INFO - Epoch(train) [61][3360/3757] lr: 1.000e-03 eta: 10:50:14 time: 0.456 data_time: 0.011 memory: 5150 grad_norm: 7.9459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2897 loss: 1.2897 2022/06/28 16:28:13 - mmengine - INFO - Epoch(train) [61][3380/3757] lr: 1.000e-03 eta: 10:50:08 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 7.3170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9179 loss: 0.9179 2022/06/28 16:28:19 - mmengine - INFO - Epoch(train) [61][3400/3757] lr: 1.000e-03 eta: 10:50:03 time: 0.969 data_time: 0.007 memory: 5150 grad_norm: 7.6457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6483 loss: 1.6483 2022/06/28 16:28:24 - mmengine - INFO - Epoch(train) [61][3420/3757] lr: 1.000e-03 eta: 10:49:58 time: 0.271 data_time: 0.008 memory: 5150 grad_norm: 7.9457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2669 loss: 1.2669 2022/06/28 16:28:30 - mmengine - INFO - Epoch(train) [61][3440/3757] lr: 1.000e-03 eta: 10:49:53 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 7.2651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1232 loss: 1.1232 2022/06/28 16:28:35 - mmengine - INFO - Epoch(train) [61][3460/3757] lr: 1.000e-03 eta: 10:49:47 time: 1.157 data_time: 0.008 memory: 5150 grad_norm: 7.5092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5160 loss: 1.5160 2022/06/28 16:28:40 - mmengine - INFO - Epoch(train) [61][3480/3757] lr: 1.000e-03 eta: 10:49:42 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.9234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6250 loss: 1.6250 2022/06/28 16:28:46 - mmengine - INFO - Epoch(train) [61][3500/3757] lr: 1.000e-03 eta: 10:49:37 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 8.2229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/06/28 16:28:51 - mmengine - INFO - Epoch(train) [61][3520/3757] lr: 1.000e-03 eta: 10:49:32 time: 0.819 data_time: 0.007 memory: 5150 grad_norm: 6.5386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2433 loss: 1.2433 2022/06/28 16:28:56 - mmengine - INFO - Epoch(train) [61][3540/3757] lr: 1.000e-03 eta: 10:49:26 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.9481 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5271 loss: 1.5271 2022/06/28 16:29:02 - mmengine - INFO - Epoch(train) [61][3560/3757] lr: 1.000e-03 eta: 10:49:21 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 7.3810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/06/28 16:29:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:29:07 - mmengine - INFO - Epoch(train) [61][3580/3757] lr: 1.000e-03 eta: 10:49:15 time: 0.927 data_time: 0.022 memory: 5150 grad_norm: 7.2591 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4720 loss: 1.4720 2022/06/28 16:29:12 - mmengine - INFO - Epoch(train) [61][3600/3757] lr: 1.000e-03 eta: 10:49:10 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.0550 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2811 loss: 1.2811 2022/06/28 16:29:17 - mmengine - INFO - Epoch(train) [61][3620/3757] lr: 1.000e-03 eta: 10:49:05 time: 0.226 data_time: 0.014 memory: 5150 grad_norm: 6.9236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2760 loss: 1.2760 2022/06/28 16:29:23 - mmengine - INFO - Epoch(train) [61][3640/3757] lr: 1.000e-03 eta: 10:48:59 time: 0.741 data_time: 0.007 memory: 5150 grad_norm: 7.6767 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2431 loss: 1.2431 2022/06/28 16:29:28 - mmengine - INFO - Epoch(train) [61][3660/3757] lr: 1.000e-03 eta: 10:48:54 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.6063 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3386 loss: 1.3386 2022/06/28 16:29:33 - mmengine - INFO - Epoch(train) [61][3680/3757] lr: 1.000e-03 eta: 10:48:49 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.1980 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4268 loss: 1.4268 2022/06/28 16:29:39 - mmengine - INFO - Epoch(train) [61][3700/3757] lr: 1.000e-03 eta: 10:48:43 time: 0.819 data_time: 0.010 memory: 5150 grad_norm: 6.7235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5325 loss: 1.5325 2022/06/28 16:29:44 - mmengine - INFO - Epoch(train) [61][3720/3757] lr: 1.000e-03 eta: 10:48:38 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3190 loss: 1.3190 2022/06/28 16:29:50 - mmengine - INFO - Epoch(train) [61][3740/3757] lr: 1.000e-03 eta: 10:48:33 time: 0.224 data_time: 0.015 memory: 5150 grad_norm: 7.7895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6384 loss: 1.6384 2022/06/28 16:29:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:30:26 - mmengine - INFO - Epoch(val) [61][20/310] eta: 0:05:44 time: 1.057 data_time: 0.404 memory: 9746 2022/06/28 16:30:48 - mmengine - INFO - Epoch(val) [61][40/310] eta: 0:04:54 time: 0.889 data_time: 0.254 memory: 9746 2022/06/28 16:31:12 - mmengine - INFO - Epoch(val) [61][60/310] eta: 0:04:37 time: 1.201 data_time: 0.553 memory: 9746 2022/06/28 16:31:35 - mmengine - INFO - Epoch(val) [61][80/310] eta: 0:04:25 time: 1.014 data_time: 0.354 memory: 9746 2022/06/28 16:31:58 - mmengine - INFO - Epoch(val) [61][100/310] eta: 0:04:02 time: 1.643 data_time: 0.996 memory: 9746 2022/06/28 16:32:19 - mmengine - INFO - Epoch(val) [61][120/310] eta: 0:03:18 time: 1.006 data_time: 0.364 memory: 9746 2022/06/28 16:32:45 - mmengine - INFO - Epoch(val) [61][140/310] eta: 0:03:27 time: 1.120 data_time: 0.477 memory: 9746 2022/06/28 16:33:10 - mmengine - INFO - Epoch(val) [61][160/310] eta: 0:03:15 time: 3.384 data_time: 2.668 memory: 9746 2022/06/28 16:33:33 - mmengine - INFO - Epoch(val) [61][180/310] eta: 0:02:42 time: 1.102 data_time: 0.444 memory: 9746 2022/06/28 16:33:55 - mmengine - INFO - Epoch(val) [61][200/310] eta: 0:02:04 time: 1.095 data_time: 0.444 memory: 9746 2022/06/28 16:34:16 - mmengine - INFO - Epoch(val) [61][220/310] eta: 0:01:34 time: 1.126 data_time: 0.469 memory: 9746 2022/06/28 16:34:38 - mmengine - INFO - Epoch(val) [61][240/310] eta: 0:01:14 time: 1.060 data_time: 0.395 memory: 9746 2022/06/28 16:35:00 - mmengine - INFO - Epoch(val) [61][260/310] eta: 0:00:58 time: 0.818 data_time: 0.174 memory: 9746 2022/06/28 16:35:24 - mmengine - INFO - Epoch(val) [61][280/310] eta: 0:00:34 time: 1.197 data_time: 0.526 memory: 9746 2022/06/28 16:35:43 - mmengine - INFO - Epoch(val) [61][300/310] eta: 0:00:08 time: 0.669 data_time: 0.091 memory: 9746 2022/06/28 16:35:57 - mmengine - INFO - Epoch(val) [61][310/310] acc/top1: 0.7044 acc/top5: 0.8956 acc/mean1: 0.7042 2022/06/28 16:36:05 - mmengine - INFO - Epoch(train) [62][20/3757] lr: 1.000e-03 eta: 10:48:23 time: 0.208 data_time: 0.007 memory: 9746 grad_norm: 7.0358 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6073 loss: 1.6073 2022/06/28 16:36:11 - mmengine - INFO - Epoch(train) [62][40/3757] lr: 1.000e-03 eta: 10:48:18 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1615 loss: 1.1615 2022/06/28 16:36:16 - mmengine - INFO - Epoch(train) [62][60/3757] lr: 1.000e-03 eta: 10:48:13 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1391 loss: 1.1391 2022/06/28 16:36:21 - mmengine - INFO - Epoch(train) [62][80/3757] lr: 1.000e-03 eta: 10:48:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.2187 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2255 loss: 1.2255 2022/06/28 16:36:27 - mmengine - INFO - Epoch(train) [62][100/3757] lr: 1.000e-03 eta: 10:48:02 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 7.4030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2213 loss: 1.2213 2022/06/28 16:36:32 - mmengine - INFO - Epoch(train) [62][120/3757] lr: 1.000e-03 eta: 10:47:57 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 5.1786 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3871 loss: 1.3871 2022/06/28 16:36:38 - mmengine - INFO - Epoch(train) [62][140/3757] lr: 1.000e-03 eta: 10:47:52 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 6.9317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9130 loss: 0.9130 2022/06/28 16:36:44 - mmengine - INFO - Epoch(train) [62][160/3757] lr: 1.000e-03 eta: 10:47:47 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.3011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1384 loss: 1.1384 2022/06/28 16:36:48 - mmengine - INFO - Epoch(train) [62][180/3757] lr: 1.000e-03 eta: 10:47:41 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.7759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5605 loss: 1.5605 2022/06/28 16:36:54 - mmengine - INFO - Epoch(train) [62][200/3757] lr: 1.000e-03 eta: 10:47:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.1641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5237 loss: 1.5237 2022/06/28 16:36:59 - mmengine - INFO - Epoch(train) [62][220/3757] lr: 1.000e-03 eta: 10:47:31 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 5.8856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2316 loss: 1.2316 2022/06/28 16:37:05 - mmengine - INFO - Epoch(train) [62][240/3757] lr: 1.000e-03 eta: 10:47:25 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2727 loss: 1.2727 2022/06/28 16:37:10 - mmengine - INFO - Epoch(train) [62][260/3757] lr: 1.000e-03 eta: 10:47:20 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.3205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2916 loss: 1.2916 2022/06/28 16:37:16 - mmengine - INFO - Epoch(train) [62][280/3757] lr: 1.000e-03 eta: 10:47:15 time: 0.314 data_time: 0.011 memory: 5150 grad_norm: 8.7993 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5875 loss: 1.5875 2022/06/28 16:37:21 - mmengine - INFO - Epoch(train) [62][300/3757] lr: 1.000e-03 eta: 10:47:10 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 9.4661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6735 loss: 1.6735 2022/06/28 16:37:27 - mmengine - INFO - Epoch(train) [62][320/3757] lr: 1.000e-03 eta: 10:47:05 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.0825 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/06/28 16:37:32 - mmengine - INFO - Epoch(train) [62][340/3757] lr: 1.000e-03 eta: 10:46:59 time: 0.503 data_time: 0.014 memory: 5150 grad_norm: 7.5501 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0553 loss: 1.0553 2022/06/28 16:37:37 - mmengine - INFO - Epoch(train) [62][360/3757] lr: 1.000e-03 eta: 10:46:54 time: 0.213 data_time: 0.043 memory: 5150 grad_norm: 8.3996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7991 loss: 1.7991 2022/06/28 16:37:43 - mmengine - INFO - Epoch(train) [62][380/3757] lr: 1.000e-03 eta: 10:46:49 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 6.9995 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2781 loss: 1.2781 2022/06/28 16:37:48 - mmengine - INFO - Epoch(train) [62][400/3757] lr: 1.000e-03 eta: 10:46:44 time: 0.751 data_time: 0.014 memory: 5150 grad_norm: 6.9228 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1209 loss: 1.1209 2022/06/28 16:37:53 - mmengine - INFO - Epoch(train) [62][420/3757] lr: 1.000e-03 eta: 10:46:38 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.0300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2529 loss: 1.2529 2022/06/28 16:37:58 - mmengine - INFO - Epoch(train) [62][440/3757] lr: 1.000e-03 eta: 10:46:33 time: 0.218 data_time: 0.013 memory: 5150 grad_norm: 6.6576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/06/28 16:38:04 - mmengine - INFO - Epoch(train) [62][460/3757] lr: 1.000e-03 eta: 10:46:27 time: 0.628 data_time: 0.010 memory: 5150 grad_norm: 7.6094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/06/28 16:38:09 - mmengine - INFO - Epoch(train) [62][480/3757] lr: 1.000e-03 eta: 10:46:22 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 7.3840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6621 loss: 1.6621 2022/06/28 16:38:14 - mmengine - INFO - Epoch(train) [62][500/3757] lr: 1.000e-03 eta: 10:46:17 time: 0.207 data_time: 0.025 memory: 5150 grad_norm: 7.0632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0039 loss: 1.0039 2022/06/28 16:38:20 - mmengine - INFO - Epoch(train) [62][520/3757] lr: 1.000e-03 eta: 10:46:12 time: 0.844 data_time: 0.010 memory: 5150 grad_norm: 7.2297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2939 loss: 1.2939 2022/06/28 16:38:25 - mmengine - INFO - Epoch(train) [62][540/3757] lr: 1.000e-03 eta: 10:46:06 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 6.3083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6751 loss: 1.6751 2022/06/28 16:38:31 - mmengine - INFO - Epoch(train) [62][560/3757] lr: 1.000e-03 eta: 10:46:01 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 7.0424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5310 loss: 1.5310 2022/06/28 16:38:36 - mmengine - INFO - Epoch(train) [62][580/3757] lr: 1.000e-03 eta: 10:45:56 time: 0.818 data_time: 0.007 memory: 5150 grad_norm: 8.0339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1999 loss: 1.1999 2022/06/28 16:38:41 - mmengine - INFO - Epoch(train) [62][600/3757] lr: 1.000e-03 eta: 10:45:50 time: 0.239 data_time: 0.024 memory: 5150 grad_norm: 7.5281 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4483 loss: 1.4483 2022/06/28 16:38:46 - mmengine - INFO - Epoch(train) [62][620/3757] lr: 1.000e-03 eta: 10:45:45 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.4332 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5410 loss: 1.5410 2022/06/28 16:38:52 - mmengine - INFO - Epoch(train) [62][640/3757] lr: 1.000e-03 eta: 10:45:40 time: 0.703 data_time: 0.007 memory: 5150 grad_norm: 5.9992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6211 loss: 1.6211 2022/06/28 16:38:57 - mmengine - INFO - Epoch(train) [62][660/3757] lr: 1.000e-03 eta: 10:45:34 time: 0.512 data_time: 0.026 memory: 5150 grad_norm: 6.6326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9510 loss: 0.9510 2022/06/28 16:39:02 - mmengine - INFO - Epoch(train) [62][680/3757] lr: 1.000e-03 eta: 10:45:29 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 6.7757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2625 loss: 1.2625 2022/06/28 16:39:07 - mmengine - INFO - Epoch(train) [62][700/3757] lr: 1.000e-03 eta: 10:45:23 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.8809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3568 loss: 1.3568 2022/06/28 16:39:13 - mmengine - INFO - Epoch(train) [62][720/3757] lr: 1.000e-03 eta: 10:45:18 time: 0.240 data_time: 0.030 memory: 5150 grad_norm: 7.9132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/06/28 16:39:19 - mmengine - INFO - Epoch(train) [62][740/3757] lr: 1.000e-03 eta: 10:45:13 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 7.1211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/06/28 16:39:24 - mmengine - INFO - Epoch(train) [62][760/3757] lr: 1.000e-03 eta: 10:45:08 time: 0.233 data_time: 0.053 memory: 5150 grad_norm: 8.4414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4095 loss: 1.4095 2022/06/28 16:39:29 - mmengine - INFO - Epoch(train) [62][780/3757] lr: 1.000e-03 eta: 10:45:03 time: 0.337 data_time: 0.017 memory: 5150 grad_norm: 7.7553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/06/28 16:39:35 - mmengine - INFO - Epoch(train) [62][800/3757] lr: 1.000e-03 eta: 10:44:57 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.4625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5539 loss: 1.5539 2022/06/28 16:39:39 - mmengine - INFO - Epoch(train) [62][820/3757] lr: 1.000e-03 eta: 10:44:52 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.4446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3439 loss: 1.3439 2022/06/28 16:39:40 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:39:44 - mmengine - INFO - Epoch(train) [62][840/3757] lr: 1.000e-03 eta: 10:44:46 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 7.5707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3284 loss: 1.3284 2022/06/28 16:39:49 - mmengine - INFO - Epoch(train) [62][860/3757] lr: 1.000e-03 eta: 10:44:40 time: 0.224 data_time: 0.010 memory: 5150 grad_norm: 7.8455 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/06/28 16:39:55 - mmengine - INFO - Epoch(train) [62][880/3757] lr: 1.000e-03 eta: 10:44:36 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.6535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4408 loss: 1.4408 2022/06/28 16:40:00 - mmengine - INFO - Epoch(train) [62][900/3757] lr: 1.000e-03 eta: 10:44:30 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 7.2875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2254 loss: 1.2254 2022/06/28 16:40:06 - mmengine - INFO - Epoch(train) [62][920/3757] lr: 1.000e-03 eta: 10:44:25 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 7.7884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7617 loss: 1.7617 2022/06/28 16:40:12 - mmengine - INFO - Epoch(train) [62][940/3757] lr: 1.000e-03 eta: 10:44:20 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 8.6463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/06/28 16:40:17 - mmengine - INFO - Epoch(train) [62][960/3757] lr: 1.000e-03 eta: 10:44:15 time: 0.217 data_time: 0.015 memory: 5150 grad_norm: 6.4503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6196 loss: 1.6196 2022/06/28 16:40:22 - mmengine - INFO - Epoch(train) [62][980/3757] lr: 1.000e-03 eta: 10:44:09 time: 0.213 data_time: 0.018 memory: 5150 grad_norm: 7.9067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4501 loss: 1.4501 2022/06/28 16:40:27 - mmengine - INFO - Epoch(train) [62][1000/3757] lr: 1.000e-03 eta: 10:44:04 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.1260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2013 loss: 1.2013 2022/06/28 16:40:33 - mmengine - INFO - Epoch(train) [62][1020/3757] lr: 1.000e-03 eta: 10:43:59 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 7.6275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4722 loss: 1.4722 2022/06/28 16:40:38 - mmengine - INFO - Epoch(train) [62][1040/3757] lr: 1.000e-03 eta: 10:43:53 time: 0.219 data_time: 0.021 memory: 5150 grad_norm: 7.9918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7537 loss: 1.7537 2022/06/28 16:40:44 - mmengine - INFO - Epoch(train) [62][1060/3757] lr: 1.000e-03 eta: 10:43:48 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 6.9872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1090 loss: 1.1090 2022/06/28 16:40:50 - mmengine - INFO - Epoch(train) [62][1080/3757] lr: 1.000e-03 eta: 10:43:43 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 6.4347 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4635 loss: 1.4635 2022/06/28 16:40:54 - mmengine - INFO - Epoch(train) [62][1100/3757] lr: 1.000e-03 eta: 10:43:37 time: 0.218 data_time: 0.040 memory: 5150 grad_norm: 8.7847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2910 loss: 1.2910 2022/06/28 16:40:59 - mmengine - INFO - Epoch(train) [62][1120/3757] lr: 1.000e-03 eta: 10:43:32 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 6.4626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5289 loss: 1.5289 2022/06/28 16:41:05 - mmengine - INFO - Epoch(train) [62][1140/3757] lr: 1.000e-03 eta: 10:43:27 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.1402 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4508 loss: 1.4508 2022/06/28 16:41:10 - mmengine - INFO - Epoch(train) [62][1160/3757] lr: 1.000e-03 eta: 10:43:21 time: 0.481 data_time: 0.310 memory: 5150 grad_norm: 7.8868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/06/28 16:41:15 - mmengine - INFO - Epoch(train) [62][1180/3757] lr: 1.000e-03 eta: 10:43:16 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.8318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2279 loss: 1.2279 2022/06/28 16:41:22 - mmengine - INFO - Epoch(train) [62][1200/3757] lr: 1.000e-03 eta: 10:43:11 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.9372 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6522 loss: 1.6522 2022/06/28 16:41:26 - mmengine - INFO - Epoch(train) [62][1220/3757] lr: 1.000e-03 eta: 10:43:05 time: 0.217 data_time: 0.033 memory: 5150 grad_norm: 7.1606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2809 loss: 1.2809 2022/06/28 16:41:31 - mmengine - INFO - Epoch(train) [62][1240/3757] lr: 1.000e-03 eta: 10:43:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.2685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0540 loss: 1.0540 2022/06/28 16:41:36 - mmengine - INFO - Epoch(train) [62][1260/3757] lr: 1.000e-03 eta: 10:42:55 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 8.1203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/06/28 16:41:42 - mmengine - INFO - Epoch(train) [62][1280/3757] lr: 1.000e-03 eta: 10:42:49 time: 0.219 data_time: 0.029 memory: 5150 grad_norm: 8.1469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/06/28 16:41:47 - mmengine - INFO - Epoch(train) [62][1300/3757] lr: 1.000e-03 eta: 10:42:44 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.2740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/06/28 16:41:52 - mmengine - INFO - Epoch(train) [62][1320/3757] lr: 1.000e-03 eta: 10:42:39 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 6.9306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5856 loss: 1.5856 2022/06/28 16:41:58 - mmengine - INFO - Epoch(train) [62][1340/3757] lr: 1.000e-03 eta: 10:42:33 time: 0.322 data_time: 0.144 memory: 5150 grad_norm: 7.2168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0371 loss: 1.0371 2022/06/28 16:42:03 - mmengine - INFO - Epoch(train) [62][1360/3757] lr: 1.000e-03 eta: 10:42:28 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 8.1669 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5609 loss: 1.5609 2022/06/28 16:42:09 - mmengine - INFO - Epoch(train) [62][1380/3757] lr: 1.000e-03 eta: 10:42:23 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 7.0915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3911 loss: 1.3911 2022/06/28 16:42:14 - mmengine - INFO - Epoch(train) [62][1400/3757] lr: 1.000e-03 eta: 10:42:18 time: 0.207 data_time: 0.026 memory: 5150 grad_norm: 8.1765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3226 loss: 1.3226 2022/06/28 16:42:19 - mmengine - INFO - Epoch(train) [62][1420/3757] lr: 1.000e-03 eta: 10:42:12 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.9746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/06/28 16:42:25 - mmengine - INFO - Epoch(train) [62][1440/3757] lr: 1.000e-03 eta: 10:42:07 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 6.4677 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5740 loss: 1.5740 2022/06/28 16:42:30 - mmengine - INFO - Epoch(train) [62][1460/3757] lr: 1.000e-03 eta: 10:42:02 time: 0.206 data_time: 0.031 memory: 5150 grad_norm: 8.1943 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4638 loss: 1.4638 2022/06/28 16:42:35 - mmengine - INFO - Epoch(train) [62][1480/3757] lr: 1.000e-03 eta: 10:41:56 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.7218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4303 loss: 1.4303 2022/06/28 16:42:41 - mmengine - INFO - Epoch(train) [62][1500/3757] lr: 1.000e-03 eta: 10:41:51 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.0322 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/06/28 16:42:46 - mmengine - INFO - Epoch(train) [62][1520/3757] lr: 1.000e-03 eta: 10:41:46 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 7.6431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2536 loss: 1.2536 2022/06/28 16:42:52 - mmengine - INFO - Epoch(train) [62][1540/3757] lr: 1.000e-03 eta: 10:41:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9085 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3139 loss: 1.3139 2022/06/28 16:42:57 - mmengine - INFO - Epoch(train) [62][1560/3757] lr: 1.000e-03 eta: 10:41:35 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 6.5364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2393 loss: 1.2393 2022/06/28 16:43:02 - mmengine - INFO - Epoch(train) [62][1580/3757] lr: 1.000e-03 eta: 10:41:30 time: 0.203 data_time: 0.021 memory: 5150 grad_norm: 7.4110 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2402 loss: 1.2402 2022/06/28 16:43:08 - mmengine - INFO - Epoch(train) [62][1600/3757] lr: 1.000e-03 eta: 10:41:25 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.5506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/06/28 16:43:13 - mmengine - INFO - Epoch(train) [62][1620/3757] lr: 1.000e-03 eta: 10:41:19 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.0100 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/06/28 16:43:18 - mmengine - INFO - Epoch(train) [62][1640/3757] lr: 1.000e-03 eta: 10:41:14 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 6.7726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2340 loss: 1.2340 2022/06/28 16:43:24 - mmengine - INFO - Epoch(train) [62][1660/3757] lr: 1.000e-03 eta: 10:41:09 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.6054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5027 loss: 1.5027 2022/06/28 16:43:29 - mmengine - INFO - Epoch(train) [62][1680/3757] lr: 1.000e-03 eta: 10:41:04 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 6.7803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2867 loss: 1.2867 2022/06/28 16:43:34 - mmengine - INFO - Epoch(train) [62][1700/3757] lr: 1.000e-03 eta: 10:40:58 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.5312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/06/28 16:43:39 - mmengine - INFO - Epoch(train) [62][1720/3757] lr: 1.000e-03 eta: 10:40:53 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.7748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/06/28 16:43:45 - mmengine - INFO - Epoch(train) [62][1740/3757] lr: 1.000e-03 eta: 10:40:48 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 7.4677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9540 loss: 0.9540 2022/06/28 16:43:50 - mmengine - INFO - Epoch(train) [62][1760/3757] lr: 1.000e-03 eta: 10:40:42 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.6266 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0879 loss: 1.0879 2022/06/28 16:43:56 - mmengine - INFO - Epoch(train) [62][1780/3757] lr: 1.000e-03 eta: 10:40:37 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 6.8182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1028 loss: 1.1028 2022/06/28 16:44:01 - mmengine - INFO - Epoch(train) [62][1800/3757] lr: 1.000e-03 eta: 10:40:32 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.6330 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4405 loss: 1.4405 2022/06/28 16:44:07 - mmengine - INFO - Epoch(train) [62][1820/3757] lr: 1.000e-03 eta: 10:40:27 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.8093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5372 loss: 1.5372 2022/06/28 16:44:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:44:12 - mmengine - INFO - Epoch(train) [62][1840/3757] lr: 1.000e-03 eta: 10:40:21 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.1543 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6960 loss: 1.6960 2022/06/28 16:44:17 - mmengine - INFO - Epoch(train) [62][1860/3757] lr: 1.000e-03 eta: 10:40:16 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 8.0122 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3004 loss: 1.3004 2022/06/28 16:44:22 - mmengine - INFO - Epoch(train) [62][1880/3757] lr: 1.000e-03 eta: 10:40:11 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 7.2231 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3200 loss: 1.3200 2022/06/28 16:44:28 - mmengine - INFO - Epoch(train) [62][1900/3757] lr: 1.000e-03 eta: 10:40:05 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.6238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/06/28 16:44:34 - mmengine - INFO - Epoch(train) [62][1920/3757] lr: 1.000e-03 eta: 10:40:00 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.6763 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5321 loss: 1.5321 2022/06/28 16:44:38 - mmengine - INFO - Epoch(train) [62][1940/3757] lr: 1.000e-03 eta: 10:39:55 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 5.7603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/06/28 16:44:44 - mmengine - INFO - Epoch(train) [62][1960/3757] lr: 1.000e-03 eta: 10:39:50 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.7206 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4355 loss: 1.4355 2022/06/28 16:44:49 - mmengine - INFO - Epoch(train) [62][1980/3757] lr: 1.000e-03 eta: 10:39:44 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.2855 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0635 loss: 1.0635 2022/06/28 16:44:55 - mmengine - INFO - Epoch(train) [62][2000/3757] lr: 1.000e-03 eta: 10:39:39 time: 0.236 data_time: 0.006 memory: 5150 grad_norm: 7.4667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/06/28 16:45:00 - mmengine - INFO - Epoch(train) [62][2020/3757] lr: 1.000e-03 eta: 10:39:34 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2499 loss: 1.2499 2022/06/28 16:45:06 - mmengine - INFO - Epoch(train) [62][2040/3757] lr: 1.000e-03 eta: 10:39:29 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.6536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7196 loss: 1.7196 2022/06/28 16:45:12 - mmengine - INFO - Epoch(train) [62][2060/3757] lr: 1.000e-03 eta: 10:39:24 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 7.5842 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6948 loss: 1.6948 2022/06/28 16:45:16 - mmengine - INFO - Epoch(train) [62][2080/3757] lr: 1.000e-03 eta: 10:39:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.7201 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1001 loss: 1.1001 2022/06/28 16:45:21 - mmengine - INFO - Epoch(train) [62][2100/3757] lr: 1.000e-03 eta: 10:39:12 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 7.3574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3439 loss: 1.3439 2022/06/28 16:45:27 - mmengine - INFO - Epoch(train) [62][2120/3757] lr: 1.000e-03 eta: 10:39:07 time: 0.336 data_time: 0.006 memory: 5150 grad_norm: 9.1791 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0542 loss: 1.0542 2022/06/28 16:45:32 - mmengine - INFO - Epoch(train) [62][2140/3757] lr: 1.000e-03 eta: 10:39:02 time: 0.244 data_time: 0.012 memory: 5150 grad_norm: 8.0363 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4006 loss: 1.4006 2022/06/28 16:45:37 - mmengine - INFO - Epoch(train) [62][2160/3757] lr: 1.000e-03 eta: 10:38:56 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 7.8514 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3524 loss: 1.3524 2022/06/28 16:45:43 - mmengine - INFO - Epoch(train) [62][2180/3757] lr: 1.000e-03 eta: 10:38:51 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 8.1845 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/06/28 16:45:49 - mmengine - INFO - Epoch(train) [62][2200/3757] lr: 1.000e-03 eta: 10:38:46 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.4670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1614 loss: 1.1614 2022/06/28 16:45:54 - mmengine - INFO - Epoch(train) [62][2220/3757] lr: 1.000e-03 eta: 10:38:41 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.3357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1922 loss: 1.1922 2022/06/28 16:45:59 - mmengine - INFO - Epoch(train) [62][2240/3757] lr: 1.000e-03 eta: 10:38:36 time: 0.757 data_time: 0.007 memory: 5150 grad_norm: 6.8262 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/06/28 16:46:04 - mmengine - INFO - Epoch(train) [62][2260/3757] lr: 1.000e-03 eta: 10:38:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.0915 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3120 loss: 1.3120 2022/06/28 16:46:09 - mmengine - INFO - Epoch(train) [62][2280/3757] lr: 1.000e-03 eta: 10:38:25 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.2806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/06/28 16:46:15 - mmengine - INFO - Epoch(train) [62][2300/3757] lr: 1.000e-03 eta: 10:38:19 time: 0.766 data_time: 0.010 memory: 5150 grad_norm: 7.9675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/06/28 16:46:20 - mmengine - INFO - Epoch(train) [62][2320/3757] lr: 1.000e-03 eta: 10:38:14 time: 0.444 data_time: 0.008 memory: 5150 grad_norm: 6.4747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4115 loss: 1.4115 2022/06/28 16:46:25 - mmengine - INFO - Epoch(train) [62][2340/3757] lr: 1.000e-03 eta: 10:38:09 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 9.2661 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6644 loss: 1.6644 2022/06/28 16:46:31 - mmengine - INFO - Epoch(train) [62][2360/3757] lr: 1.000e-03 eta: 10:38:04 time: 1.157 data_time: 0.007 memory: 5150 grad_norm: 6.5182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3996 loss: 1.3996 2022/06/28 16:46:36 - mmengine - INFO - Epoch(train) [62][2380/3757] lr: 1.000e-03 eta: 10:37:58 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 8.5408 top1_acc: 0.1250 top5_acc: 0.8750 loss_cls: 1.5340 loss: 1.5340 2022/06/28 16:46:41 - mmengine - INFO - Epoch(train) [62][2400/3757] lr: 1.000e-03 eta: 10:37:53 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 7.5844 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2073 loss: 1.2073 2022/06/28 16:46:47 - mmengine - INFO - Epoch(train) [62][2420/3757] lr: 1.000e-03 eta: 10:37:48 time: 1.029 data_time: 0.008 memory: 5150 grad_norm: 7.9319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5305 loss: 1.5305 2022/06/28 16:46:52 - mmengine - INFO - Epoch(train) [62][2440/3757] lr: 1.000e-03 eta: 10:37:42 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.2701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2548 loss: 1.2548 2022/06/28 16:46:57 - mmengine - INFO - Epoch(train) [62][2460/3757] lr: 1.000e-03 eta: 10:37:37 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 7.7636 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/06/28 16:47:04 - mmengine - INFO - Epoch(train) [62][2480/3757] lr: 1.000e-03 eta: 10:37:32 time: 0.307 data_time: 0.014 memory: 5150 grad_norm: 7.7728 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1830 loss: 1.1830 2022/06/28 16:47:09 - mmengine - INFO - Epoch(train) [62][2500/3757] lr: 1.000e-03 eta: 10:37:27 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.8480 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6528 loss: 1.6528 2022/06/28 16:47:14 - mmengine - INFO - Epoch(train) [62][2520/3757] lr: 1.000e-03 eta: 10:37:21 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 7.9015 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3220 loss: 1.3220 2022/06/28 16:47:20 - mmengine - INFO - Epoch(train) [62][2540/3757] lr: 1.000e-03 eta: 10:37:16 time: 0.489 data_time: 0.008 memory: 5150 grad_norm: 5.9414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3197 loss: 1.3197 2022/06/28 16:47:25 - mmengine - INFO - Epoch(train) [62][2560/3757] lr: 1.000e-03 eta: 10:37:11 time: 0.640 data_time: 0.008 memory: 5150 grad_norm: 7.7810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3428 loss: 1.3428 2022/06/28 16:47:30 - mmengine - INFO - Epoch(train) [62][2580/3757] lr: 1.000e-03 eta: 10:37:06 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 7.3214 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2645 loss: 1.2645 2022/06/28 16:47:36 - mmengine - INFO - Epoch(train) [62][2600/3757] lr: 1.000e-03 eta: 10:37:00 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 7.6173 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4719 loss: 1.4719 2022/06/28 16:47:41 - mmengine - INFO - Epoch(train) [62][2620/3757] lr: 1.000e-03 eta: 10:36:55 time: 0.866 data_time: 0.019 memory: 5150 grad_norm: 7.8880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4004 loss: 1.4004 2022/06/28 16:47:46 - mmengine - INFO - Epoch(train) [62][2640/3757] lr: 1.000e-03 eta: 10:36:50 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.6605 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3267 loss: 1.3267 2022/06/28 16:47:52 - mmengine - INFO - Epoch(train) [62][2660/3757] lr: 1.000e-03 eta: 10:36:45 time: 0.227 data_time: 0.014 memory: 5150 grad_norm: 6.8378 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/06/28 16:47:57 - mmengine - INFO - Epoch(train) [62][2680/3757] lr: 1.000e-03 eta: 10:36:39 time: 0.575 data_time: 0.012 memory: 5150 grad_norm: 6.6336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1359 loss: 1.1359 2022/06/28 16:48:02 - mmengine - INFO - Epoch(train) [62][2700/3757] lr: 1.000e-03 eta: 10:36:34 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 8.4360 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/06/28 16:48:08 - mmengine - INFO - Epoch(train) [62][2720/3757] lr: 1.000e-03 eta: 10:36:29 time: 0.659 data_time: 0.012 memory: 5150 grad_norm: 8.3787 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5001 loss: 1.5001 2022/06/28 16:48:13 - mmengine - INFO - Epoch(train) [62][2740/3757] lr: 1.000e-03 eta: 10:36:23 time: 0.272 data_time: 0.008 memory: 5150 grad_norm: 7.1270 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5822 loss: 1.5822 2022/06/28 16:48:18 - mmengine - INFO - Epoch(train) [62][2760/3757] lr: 1.000e-03 eta: 10:36:18 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.2503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4278 loss: 1.4278 2022/06/28 16:48:24 - mmengine - INFO - Epoch(train) [62][2780/3757] lr: 1.000e-03 eta: 10:36:13 time: 1.011 data_time: 0.007 memory: 5150 grad_norm: 7.5715 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/06/28 16:48:29 - mmengine - INFO - Epoch(train) [62][2800/3757] lr: 1.000e-03 eta: 10:36:07 time: 0.260 data_time: 0.007 memory: 5150 grad_norm: 7.3630 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0266 loss: 1.0266 2022/06/28 16:48:35 - mmengine - INFO - Epoch(train) [62][2820/3757] lr: 1.000e-03 eta: 10:36:02 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.4433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4166 loss: 1.4166 2022/06/28 16:48:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:48:41 - mmengine - INFO - Epoch(train) [62][2840/3757] lr: 1.000e-03 eta: 10:35:57 time: 0.568 data_time: 0.019 memory: 5150 grad_norm: 8.8202 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/06/28 16:48:46 - mmengine - INFO - Epoch(train) [62][2860/3757] lr: 1.000e-03 eta: 10:35:52 time: 0.712 data_time: 0.011 memory: 5150 grad_norm: 7.7702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4509 loss: 1.4509 2022/06/28 16:48:51 - mmengine - INFO - Epoch(train) [62][2880/3757] lr: 1.000e-03 eta: 10:35:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.4364 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8405 loss: 1.8405 2022/06/28 16:48:57 - mmengine - INFO - Epoch(train) [62][2900/3757] lr: 1.000e-03 eta: 10:35:41 time: 0.794 data_time: 0.019 memory: 5150 grad_norm: 7.3159 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4337 loss: 1.4337 2022/06/28 16:49:02 - mmengine - INFO - Epoch(train) [62][2920/3757] lr: 1.000e-03 eta: 10:35:36 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 7.9256 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1775 loss: 1.1775 2022/06/28 16:49:06 - mmengine - INFO - Epoch(train) [62][2940/3757] lr: 1.000e-03 eta: 10:35:30 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.3893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3896 loss: 1.3896 2022/06/28 16:49:13 - mmengine - INFO - Epoch(train) [62][2960/3757] lr: 1.000e-03 eta: 10:35:25 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 5.9770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6542 loss: 1.6542 2022/06/28 16:49:18 - mmengine - INFO - Epoch(train) [62][2980/3757] lr: 1.000e-03 eta: 10:35:20 time: 0.896 data_time: 0.007 memory: 5150 grad_norm: 6.9501 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5245 loss: 1.5245 2022/06/28 16:49:23 - mmengine - INFO - Epoch(train) [62][3000/3757] lr: 1.000e-03 eta: 10:35:15 time: 0.223 data_time: 0.020 memory: 5150 grad_norm: 7.9157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7558 loss: 1.7558 2022/06/28 16:49:28 - mmengine - INFO - Epoch(train) [62][3020/3757] lr: 1.000e-03 eta: 10:35:09 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 7.8583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3563 loss: 1.3563 2022/06/28 16:49:34 - mmengine - INFO - Epoch(train) [62][3040/3757] lr: 1.000e-03 eta: 10:35:04 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.7602 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4368 loss: 1.4368 2022/06/28 16:49:39 - mmengine - INFO - Epoch(train) [62][3060/3757] lr: 1.000e-03 eta: 10:34:58 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 7.9876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3783 loss: 1.3783 2022/06/28 16:49:44 - mmengine - INFO - Epoch(train) [62][3080/3757] lr: 1.000e-03 eta: 10:34:53 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 6.9696 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3347 loss: 1.3347 2022/06/28 16:49:50 - mmengine - INFO - Epoch(train) [62][3100/3757] lr: 1.000e-03 eta: 10:34:48 time: 0.448 data_time: 0.010 memory: 5150 grad_norm: 7.1125 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0225 loss: 1.0225 2022/06/28 16:49:55 - mmengine - INFO - Epoch(train) [62][3120/3757] lr: 1.000e-03 eta: 10:34:43 time: 0.215 data_time: 0.020 memory: 5150 grad_norm: 6.2858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5936 loss: 1.5936 2022/06/28 16:50:01 - mmengine - INFO - Epoch(train) [62][3140/3757] lr: 1.000e-03 eta: 10:34:38 time: 0.220 data_time: 0.025 memory: 5150 grad_norm: 9.4654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2273 loss: 1.2273 2022/06/28 16:50:06 - mmengine - INFO - Epoch(train) [62][3160/3757] lr: 1.000e-03 eta: 10:34:33 time: 0.369 data_time: 0.008 memory: 5150 grad_norm: 7.8275 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6267 loss: 1.6267 2022/06/28 16:50:12 - mmengine - INFO - Epoch(train) [62][3180/3757] lr: 1.000e-03 eta: 10:34:27 time: 0.218 data_time: 0.035 memory: 5150 grad_norm: 7.5670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6179 loss: 1.6179 2022/06/28 16:50:17 - mmengine - INFO - Epoch(train) [62][3200/3757] lr: 1.000e-03 eta: 10:34:22 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 7.2692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4707 loss: 1.4707 2022/06/28 16:50:23 - mmengine - INFO - Epoch(train) [62][3220/3757] lr: 1.000e-03 eta: 10:34:17 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.2318 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4078 loss: 1.4078 2022/06/28 16:50:28 - mmengine - INFO - Epoch(train) [62][3240/3757] lr: 1.000e-03 eta: 10:34:11 time: 0.202 data_time: 0.027 memory: 5150 grad_norm: 8.2785 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6499 loss: 1.6499 2022/06/28 16:50:33 - mmengine - INFO - Epoch(train) [62][3260/3757] lr: 1.000e-03 eta: 10:34:06 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 8.3429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/06/28 16:50:38 - mmengine - INFO - Epoch(train) [62][3280/3757] lr: 1.000e-03 eta: 10:34:01 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.0978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1842 loss: 1.1842 2022/06/28 16:50:44 - mmengine - INFO - Epoch(train) [62][3300/3757] lr: 1.000e-03 eta: 10:33:55 time: 0.212 data_time: 0.036 memory: 5150 grad_norm: 7.8866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0483 loss: 1.0483 2022/06/28 16:50:49 - mmengine - INFO - Epoch(train) [62][3320/3757] lr: 1.000e-03 eta: 10:33:50 time: 0.649 data_time: 0.019 memory: 5150 grad_norm: 8.0637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/06/28 16:50:55 - mmengine - INFO - Epoch(train) [62][3340/3757] lr: 1.000e-03 eta: 10:33:45 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.7750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/06/28 16:51:00 - mmengine - INFO - Epoch(train) [62][3360/3757] lr: 1.000e-03 eta: 10:33:40 time: 0.202 data_time: 0.030 memory: 5150 grad_norm: 6.5609 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3920 loss: 1.3920 2022/06/28 16:51:05 - mmengine - INFO - Epoch(train) [62][3380/3757] lr: 1.000e-03 eta: 10:33:34 time: 0.257 data_time: 0.019 memory: 5150 grad_norm: 8.0126 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4458 loss: 1.4458 2022/06/28 16:51:11 - mmengine - INFO - Epoch(train) [62][3400/3757] lr: 1.000e-03 eta: 10:33:29 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.0333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6679 loss: 1.6679 2022/06/28 16:51:17 - mmengine - INFO - Epoch(train) [62][3420/3757] lr: 1.000e-03 eta: 10:33:24 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 7.5684 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4359 loss: 1.4359 2022/06/28 16:51:22 - mmengine - INFO - Epoch(train) [62][3440/3757] lr: 1.000e-03 eta: 10:33:19 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 9.6454 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2873 loss: 1.2873 2022/06/28 16:51:27 - mmengine - INFO - Epoch(train) [62][3460/3757] lr: 1.000e-03 eta: 10:33:13 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.4226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6760 loss: 1.6760 2022/06/28 16:51:33 - mmengine - INFO - Epoch(train) [62][3480/3757] lr: 1.000e-03 eta: 10:33:08 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 7.2989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2403 loss: 1.2403 2022/06/28 16:51:37 - mmengine - INFO - Epoch(train) [62][3500/3757] lr: 1.000e-03 eta: 10:33:02 time: 0.242 data_time: 0.015 memory: 5150 grad_norm: 8.3688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/06/28 16:51:43 - mmengine - INFO - Epoch(train) [62][3520/3757] lr: 1.000e-03 eta: 10:32:57 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 7.0875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4233 loss: 1.4233 2022/06/28 16:51:48 - mmengine - INFO - Epoch(train) [62][3540/3757] lr: 1.000e-03 eta: 10:32:52 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.0834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0893 loss: 1.0893 2022/06/28 16:51:53 - mmengine - INFO - Epoch(train) [62][3560/3757] lr: 1.000e-03 eta: 10:32:46 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.3624 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6759 loss: 1.6759 2022/06/28 16:51:58 - mmengine - INFO - Epoch(train) [62][3580/3757] lr: 1.000e-03 eta: 10:32:41 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 6.6238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0805 loss: 1.0805 2022/06/28 16:52:03 - mmengine - INFO - Epoch(train) [62][3600/3757] lr: 1.000e-03 eta: 10:32:36 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.9565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2783 loss: 1.2783 2022/06/28 16:52:08 - mmengine - INFO - Epoch(train) [62][3620/3757] lr: 1.000e-03 eta: 10:32:30 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.3531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2484 loss: 1.2484 2022/06/28 16:52:14 - mmengine - INFO - Epoch(train) [62][3640/3757] lr: 1.000e-03 eta: 10:32:25 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 8.8293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3555 loss: 1.3555 2022/06/28 16:52:20 - mmengine - INFO - Epoch(train) [62][3660/3757] lr: 1.000e-03 eta: 10:32:20 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 8.1955 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3061 loss: 2.3061 2022/06/28 16:52:25 - mmengine - INFO - Epoch(train) [62][3680/3757] lr: 1.000e-03 eta: 10:32:14 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 6.6105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4989 loss: 1.4989 2022/06/28 16:52:30 - mmengine - INFO - Epoch(train) [62][3700/3757] lr: 1.000e-03 eta: 10:32:09 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 7.9714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6416 loss: 1.6416 2022/06/28 16:52:35 - mmengine - INFO - Epoch(train) [62][3720/3757] lr: 1.000e-03 eta: 10:32:04 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.2697 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4882 loss: 1.4882 2022/06/28 16:52:40 - mmengine - INFO - Epoch(train) [62][3740/3757] lr: 1.000e-03 eta: 10:31:58 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 6.8840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 16:52:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:53:17 - mmengine - INFO - Epoch(val) [62][20/310] eta: 0:05:50 time: 1.043 data_time: 0.392 memory: 9746 2022/06/28 16:53:39 - mmengine - INFO - Epoch(val) [62][40/310] eta: 0:04:54 time: 0.983 data_time: 0.332 memory: 9746 2022/06/28 16:54:03 - mmengine - INFO - Epoch(val) [62][60/310] eta: 0:04:26 time: 1.207 data_time: 0.556 memory: 9746 2022/06/28 16:54:26 - mmengine - INFO - Epoch(val) [62][80/310] eta: 0:04:41 time: 1.017 data_time: 0.382 memory: 9746 2022/06/28 16:54:49 - mmengine - INFO - Epoch(val) [62][100/310] eta: 0:04:02 time: 2.187 data_time: 1.541 memory: 9746 2022/06/28 16:55:10 - mmengine - INFO - Epoch(val) [62][120/310] eta: 0:03:21 time: 1.052 data_time: 0.404 memory: 9746 2022/06/28 16:55:35 - mmengine - INFO - Epoch(val) [62][140/310] eta: 0:03:14 time: 1.010 data_time: 0.369 memory: 9746 2022/06/28 16:56:00 - mmengine - INFO - Epoch(val) [62][160/310] eta: 0:03:20 time: 3.664 data_time: 2.992 memory: 9746 2022/06/28 16:56:23 - mmengine - INFO - Epoch(val) [62][180/310] eta: 0:02:45 time: 0.996 data_time: 0.347 memory: 9746 2022/06/28 16:56:46 - mmengine - INFO - Epoch(val) [62][200/310] eta: 0:02:18 time: 1.156 data_time: 0.506 memory: 9746 2022/06/28 16:57:07 - mmengine - INFO - Epoch(val) [62][220/310] eta: 0:01:36 time: 1.116 data_time: 0.474 memory: 9746 2022/06/28 16:57:29 - mmengine - INFO - Epoch(val) [62][240/310] eta: 0:01:17 time: 0.943 data_time: 0.300 memory: 9746 2022/06/28 16:57:52 - mmengine - INFO - Epoch(val) [62][260/310] eta: 0:01:02 time: 1.488 data_time: 0.329 memory: 9746 2022/06/28 16:58:15 - mmengine - INFO - Epoch(val) [62][280/310] eta: 0:00:33 time: 1.026 data_time: 0.389 memory: 9746 2022/06/28 16:58:34 - mmengine - INFO - Epoch(val) [62][300/310] eta: 0:00:08 time: 0.663 data_time: 0.086 memory: 9746 2022/06/28 16:58:47 - mmengine - INFO - Epoch(val) [62][310/310] acc/top1: 0.7055 acc/top5: 0.8948 acc/mean1: 0.7054 2022/06/28 16:58:56 - mmengine - INFO - Epoch(train) [63][20/3757] lr: 1.000e-03 eta: 10:31:49 time: 0.196 data_time: 0.007 memory: 9746 grad_norm: 7.6079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2597 loss: 1.2597 2022/06/28 16:59:02 - mmengine - INFO - Epoch(train) [63][40/3757] lr: 1.000e-03 eta: 10:31:44 time: 0.283 data_time: 0.011 memory: 5150 grad_norm: 8.4250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/06/28 16:59:07 - mmengine - INFO - Epoch(train) [63][60/3757] lr: 1.000e-03 eta: 10:31:38 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 7.0474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/06/28 16:59:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 16:59:12 - mmengine - INFO - Epoch(train) [63][80/3757] lr: 1.000e-03 eta: 10:31:33 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.6146 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4195 loss: 1.4195 2022/06/28 16:59:18 - mmengine - INFO - Epoch(train) [63][100/3757] lr: 1.000e-03 eta: 10:31:28 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 6.4435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/06/28 16:59:23 - mmengine - INFO - Epoch(train) [63][120/3757] lr: 1.000e-03 eta: 10:31:22 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.0671 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7073 loss: 1.7073 2022/06/28 16:59:28 - mmengine - INFO - Epoch(train) [63][140/3757] lr: 1.000e-03 eta: 10:31:17 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.6753 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5026 loss: 1.5026 2022/06/28 16:59:34 - mmengine - INFO - Epoch(train) [63][160/3757] lr: 1.000e-03 eta: 10:31:12 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.2055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3851 loss: 1.3851 2022/06/28 16:59:39 - mmengine - INFO - Epoch(train) [63][180/3757] lr: 1.000e-03 eta: 10:31:06 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.2093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/06/28 16:59:44 - mmengine - INFO - Epoch(train) [63][200/3757] lr: 1.000e-03 eta: 10:31:01 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.6389 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/06/28 16:59:50 - mmengine - INFO - Epoch(train) [63][220/3757] lr: 1.000e-03 eta: 10:30:56 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.9297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4255 loss: 1.4255 2022/06/28 16:59:55 - mmengine - INFO - Epoch(train) [63][240/3757] lr: 1.000e-03 eta: 10:30:51 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.7408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/06/28 17:00:01 - mmengine - INFO - Epoch(train) [63][260/3757] lr: 1.000e-03 eta: 10:30:46 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.2059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4813 loss: 1.4813 2022/06/28 17:00:07 - mmengine - INFO - Epoch(train) [63][280/3757] lr: 1.000e-03 eta: 10:30:41 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.3298 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/06/28 17:00:12 - mmengine - INFO - Epoch(train) [63][300/3757] lr: 1.000e-03 eta: 10:30:35 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 7.1459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/06/28 17:00:17 - mmengine - INFO - Epoch(train) [63][320/3757] lr: 1.000e-03 eta: 10:30:30 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 6.9548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3216 loss: 1.3216 2022/06/28 17:00:23 - mmengine - INFO - Epoch(train) [63][340/3757] lr: 1.000e-03 eta: 10:30:25 time: 0.237 data_time: 0.008 memory: 5150 grad_norm: 6.9876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3565 loss: 1.3565 2022/06/28 17:00:28 - mmengine - INFO - Epoch(train) [63][360/3757] lr: 1.000e-03 eta: 10:30:19 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.4131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1308 loss: 1.1308 2022/06/28 17:00:34 - mmengine - INFO - Epoch(train) [63][380/3757] lr: 1.000e-03 eta: 10:30:15 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.4797 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6435 loss: 1.6435 2022/06/28 17:00:39 - mmengine - INFO - Epoch(train) [63][400/3757] lr: 1.000e-03 eta: 10:30:09 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.9467 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4920 loss: 1.4920 2022/06/28 17:00:44 - mmengine - INFO - Epoch(train) [63][420/3757] lr: 1.000e-03 eta: 10:30:04 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 7.4081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5060 loss: 1.5060 2022/06/28 17:00:50 - mmengine - INFO - Epoch(train) [63][440/3757] lr: 1.000e-03 eta: 10:29:58 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3485 loss: 1.3485 2022/06/28 17:00:55 - mmengine - INFO - Epoch(train) [63][460/3757] lr: 1.000e-03 eta: 10:29:53 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1473 loss: 1.1473 2022/06/28 17:01:00 - mmengine - INFO - Epoch(train) [63][480/3757] lr: 1.000e-03 eta: 10:29:48 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7688 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5946 loss: 1.5946 2022/06/28 17:01:05 - mmengine - INFO - Epoch(train) [63][500/3757] lr: 1.000e-03 eta: 10:29:42 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 7.4202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3412 loss: 1.3412 2022/06/28 17:01:11 - mmengine - INFO - Epoch(train) [63][520/3757] lr: 1.000e-03 eta: 10:29:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.3251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/06/28 17:01:16 - mmengine - INFO - Epoch(train) [63][540/3757] lr: 1.000e-03 eta: 10:29:31 time: 0.219 data_time: 0.012 memory: 5150 grad_norm: 7.8783 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/06/28 17:01:22 - mmengine - INFO - Epoch(train) [63][560/3757] lr: 1.000e-03 eta: 10:29:27 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.2908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3344 loss: 1.3344 2022/06/28 17:01:27 - mmengine - INFO - Epoch(train) [63][580/3757] lr: 1.000e-03 eta: 10:29:21 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.0916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4471 loss: 1.4471 2022/06/28 17:01:32 - mmengine - INFO - Epoch(train) [63][600/3757] lr: 1.000e-03 eta: 10:29:16 time: 0.268 data_time: 0.007 memory: 5150 grad_norm: 6.9705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/06/28 17:01:38 - mmengine - INFO - Epoch(train) [63][620/3757] lr: 1.000e-03 eta: 10:29:11 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 6.5889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/06/28 17:01:43 - mmengine - INFO - Epoch(train) [63][640/3757] lr: 1.000e-03 eta: 10:29:05 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.5047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9030 loss: 0.9030 2022/06/28 17:01:48 - mmengine - INFO - Epoch(train) [63][660/3757] lr: 1.000e-03 eta: 10:29:00 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.6646 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5857 loss: 1.5857 2022/06/28 17:01:54 - mmengine - INFO - Epoch(train) [63][680/3757] lr: 1.000e-03 eta: 10:28:55 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5356 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/06/28 17:01:59 - mmengine - INFO - Epoch(train) [63][700/3757] lr: 1.000e-03 eta: 10:28:49 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.7849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5204 loss: 1.5204 2022/06/28 17:02:04 - mmengine - INFO - Epoch(train) [63][720/3757] lr: 1.000e-03 eta: 10:28:44 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.4750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3886 loss: 1.3886 2022/06/28 17:02:10 - mmengine - INFO - Epoch(train) [63][740/3757] lr: 1.000e-03 eta: 10:28:39 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.1167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3116 loss: 1.3116 2022/06/28 17:02:15 - mmengine - INFO - Epoch(train) [63][760/3757] lr: 1.000e-03 eta: 10:28:34 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.1314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1801 loss: 1.1801 2022/06/28 17:02:20 - mmengine - INFO - Epoch(train) [63][780/3757] lr: 1.000e-03 eta: 10:28:28 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.3671 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3655 loss: 1.3655 2022/06/28 17:02:26 - mmengine - INFO - Epoch(train) [63][800/3757] lr: 1.000e-03 eta: 10:28:23 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 8.2254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4140 loss: 1.4140 2022/06/28 17:02:31 - mmengine - INFO - Epoch(train) [63][820/3757] lr: 1.000e-03 eta: 10:28:18 time: 0.237 data_time: 0.010 memory: 5150 grad_norm: 8.2805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6154 loss: 1.6154 2022/06/28 17:02:36 - mmengine - INFO - Epoch(train) [63][840/3757] lr: 1.000e-03 eta: 10:28:12 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 7.6636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5475 loss: 1.5475 2022/06/28 17:02:42 - mmengine - INFO - Epoch(train) [63][860/3757] lr: 1.000e-03 eta: 10:28:07 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 7.3856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9693 loss: 0.9693 2022/06/28 17:02:47 - mmengine - INFO - Epoch(train) [63][880/3757] lr: 1.000e-03 eta: 10:28:02 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.5217 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/06/28 17:02:52 - mmengine - INFO - Epoch(train) [63][900/3757] lr: 1.000e-03 eta: 10:27:56 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0664 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1955 loss: 1.1955 2022/06/28 17:02:57 - mmengine - INFO - Epoch(train) [63][920/3757] lr: 1.000e-03 eta: 10:27:51 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.9210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0190 loss: 1.0190 2022/06/28 17:03:03 - mmengine - INFO - Epoch(train) [63][940/3757] lr: 1.000e-03 eta: 10:27:46 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.7881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0120 loss: 1.0120 2022/06/28 17:03:08 - mmengine - INFO - Epoch(train) [63][960/3757] lr: 1.000e-03 eta: 10:27:40 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 9.5419 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5739 loss: 1.5739 2022/06/28 17:03:14 - mmengine - INFO - Epoch(train) [63][980/3757] lr: 1.000e-03 eta: 10:27:35 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 8.8731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2849 loss: 1.2849 2022/06/28 17:03:18 - mmengine - INFO - Epoch(train) [63][1000/3757] lr: 1.000e-03 eta: 10:27:29 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.4831 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5982 loss: 1.5982 2022/06/28 17:03:23 - mmengine - INFO - Epoch(train) [63][1020/3757] lr: 1.000e-03 eta: 10:27:24 time: 0.488 data_time: 0.014 memory: 5150 grad_norm: 7.2700 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7034 loss: 1.7034 2022/06/28 17:03:29 - mmengine - INFO - Epoch(train) [63][1040/3757] lr: 1.000e-03 eta: 10:27:19 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0722 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5982 loss: 1.5982 2022/06/28 17:03:34 - mmengine - INFO - Epoch(train) [63][1060/3757] lr: 1.000e-03 eta: 10:27:14 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.4410 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6093 loss: 1.6093 2022/06/28 17:03:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:03:39 - mmengine - INFO - Epoch(train) [63][1080/3757] lr: 1.000e-03 eta: 10:27:08 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 6.3879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2555 loss: 1.2555 2022/06/28 17:03:44 - mmengine - INFO - Epoch(train) [63][1100/3757] lr: 1.000e-03 eta: 10:27:03 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 7.3971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3920 loss: 1.3920 2022/06/28 17:03:50 - mmengine - INFO - Epoch(train) [63][1120/3757] lr: 1.000e-03 eta: 10:26:57 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.8157 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5113 loss: 1.5113 2022/06/28 17:03:57 - mmengine - INFO - Epoch(train) [63][1140/3757] lr: 1.000e-03 eta: 10:26:53 time: 0.200 data_time: 0.032 memory: 5150 grad_norm: 8.0206 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8604 loss: 1.8604 2022/06/28 17:04:01 - mmengine - INFO - Epoch(train) [63][1160/3757] lr: 1.000e-03 eta: 10:26:47 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.9808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.8034 loss: 1.8034 2022/06/28 17:04:06 - mmengine - INFO - Epoch(train) [63][1180/3757] lr: 1.000e-03 eta: 10:26:42 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.3062 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3038 loss: 1.3038 2022/06/28 17:04:12 - mmengine - INFO - Epoch(train) [63][1200/3757] lr: 1.000e-03 eta: 10:26:36 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 8.2003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2577 loss: 1.2577 2022/06/28 17:04:17 - mmengine - INFO - Epoch(train) [63][1220/3757] lr: 1.000e-03 eta: 10:26:31 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 7.3358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6173 loss: 1.6173 2022/06/28 17:04:22 - mmengine - INFO - Epoch(train) [63][1240/3757] lr: 1.000e-03 eta: 10:26:26 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.1240 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2680 loss: 1.2680 2022/06/28 17:04:28 - mmengine - INFO - Epoch(train) [63][1260/3757] lr: 1.000e-03 eta: 10:26:21 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 7.8380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3854 loss: 1.3854 2022/06/28 17:04:33 - mmengine - INFO - Epoch(train) [63][1280/3757] lr: 1.000e-03 eta: 10:26:15 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 7.1047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2054 loss: 1.2054 2022/06/28 17:04:38 - mmengine - INFO - Epoch(train) [63][1300/3757] lr: 1.000e-03 eta: 10:26:10 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5245 loss: 1.5245 2022/06/28 17:04:44 - mmengine - INFO - Epoch(train) [63][1320/3757] lr: 1.000e-03 eta: 10:26:05 time: 0.203 data_time: 0.029 memory: 5150 grad_norm: 7.4093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4203 loss: 1.4203 2022/06/28 17:04:49 - mmengine - INFO - Epoch(train) [63][1340/3757] lr: 1.000e-03 eta: 10:25:59 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 8.6174 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7679 loss: 1.7679 2022/06/28 17:04:54 - mmengine - INFO - Epoch(train) [63][1360/3757] lr: 1.000e-03 eta: 10:25:54 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 10.1315 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0076 loss: 1.0076 2022/06/28 17:04:59 - mmengine - INFO - Epoch(train) [63][1380/3757] lr: 1.000e-03 eta: 10:25:48 time: 0.206 data_time: 0.024 memory: 5150 grad_norm: 8.2113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0489 loss: 1.0489 2022/06/28 17:05:05 - mmengine - INFO - Epoch(train) [63][1400/3757] lr: 1.000e-03 eta: 10:25:43 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5121 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4547 loss: 1.4547 2022/06/28 17:05:10 - mmengine - INFO - Epoch(train) [63][1420/3757] lr: 1.000e-03 eta: 10:25:38 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.0518 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4490 loss: 1.4490 2022/06/28 17:05:16 - mmengine - INFO - Epoch(train) [63][1440/3757] lr: 1.000e-03 eta: 10:25:33 time: 0.510 data_time: 0.020 memory: 5150 grad_norm: 9.4309 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3649 loss: 1.3649 2022/06/28 17:05:21 - mmengine - INFO - Epoch(train) [63][1460/3757] lr: 1.000e-03 eta: 10:25:27 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 7.9411 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2326 loss: 1.2326 2022/06/28 17:05:26 - mmengine - INFO - Epoch(train) [63][1480/3757] lr: 1.000e-03 eta: 10:25:22 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 7.1189 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5934 loss: 1.5934 2022/06/28 17:05:32 - mmengine - INFO - Epoch(train) [63][1500/3757] lr: 1.000e-03 eta: 10:25:17 time: 0.273 data_time: 0.007 memory: 5150 grad_norm: 8.4949 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1942 loss: 1.1942 2022/06/28 17:05:37 - mmengine - INFO - Epoch(train) [63][1520/3757] lr: 1.000e-03 eta: 10:25:11 time: 0.377 data_time: 0.011 memory: 5150 grad_norm: 6.7078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4688 loss: 1.4688 2022/06/28 17:05:43 - mmengine - INFO - Epoch(train) [63][1540/3757] lr: 1.000e-03 eta: 10:25:06 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 8.0558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3184 loss: 1.3184 2022/06/28 17:05:48 - mmengine - INFO - Epoch(train) [63][1560/3757] lr: 1.000e-03 eta: 10:25:01 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.2798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/06/28 17:05:54 - mmengine - INFO - Epoch(train) [63][1580/3757] lr: 1.000e-03 eta: 10:24:56 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.5230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6269 loss: 1.6269 2022/06/28 17:05:59 - mmengine - INFO - Epoch(train) [63][1600/3757] lr: 1.000e-03 eta: 10:24:51 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.9689 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5416 loss: 1.5416 2022/06/28 17:06:05 - mmengine - INFO - Epoch(train) [63][1620/3757] lr: 1.000e-03 eta: 10:24:45 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.7356 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7238 loss: 0.7238 2022/06/28 17:06:10 - mmengine - INFO - Epoch(train) [63][1640/3757] lr: 1.000e-03 eta: 10:24:40 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 6.6792 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7111 loss: 1.7111 2022/06/28 17:06:15 - mmengine - INFO - Epoch(train) [63][1660/3757] lr: 1.000e-03 eta: 10:24:35 time: 0.271 data_time: 0.008 memory: 5150 grad_norm: 7.5723 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1190 loss: 1.1190 2022/06/28 17:06:20 - mmengine - INFO - Epoch(train) [63][1680/3757] lr: 1.000e-03 eta: 10:24:29 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.1468 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2016 loss: 1.2016 2022/06/28 17:06:26 - mmengine - INFO - Epoch(train) [63][1700/3757] lr: 1.000e-03 eta: 10:24:24 time: 0.254 data_time: 0.009 memory: 5150 grad_norm: 6.3847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1498 loss: 1.1498 2022/06/28 17:06:31 - mmengine - INFO - Epoch(train) [63][1720/3757] lr: 1.000e-03 eta: 10:24:19 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 6.0652 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2534 loss: 1.2534 2022/06/28 17:06:37 - mmengine - INFO - Epoch(train) [63][1740/3757] lr: 1.000e-03 eta: 10:24:14 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.8778 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9744 loss: 1.9744 2022/06/28 17:06:41 - mmengine - INFO - Epoch(train) [63][1760/3757] lr: 1.000e-03 eta: 10:24:08 time: 0.416 data_time: 0.007 memory: 5150 grad_norm: 7.9597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3214 loss: 1.3214 2022/06/28 17:06:47 - mmengine - INFO - Epoch(train) [63][1780/3757] lr: 1.000e-03 eta: 10:24:03 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.3312 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.7498 loss: 1.7498 2022/06/28 17:06:52 - mmengine - INFO - Epoch(train) [63][1800/3757] lr: 1.000e-03 eta: 10:23:57 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 8.2137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3194 loss: 1.3194 2022/06/28 17:06:57 - mmengine - INFO - Epoch(train) [63][1820/3757] lr: 1.000e-03 eta: 10:23:52 time: 0.315 data_time: 0.007 memory: 5150 grad_norm: 8.2451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3322 loss: 1.3322 2022/06/28 17:07:03 - mmengine - INFO - Epoch(train) [63][1840/3757] lr: 1.000e-03 eta: 10:23:47 time: 0.233 data_time: 0.008 memory: 5150 grad_norm: 8.1479 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4565 loss: 1.4565 2022/06/28 17:07:08 - mmengine - INFO - Epoch(train) [63][1860/3757] lr: 1.000e-03 eta: 10:23:42 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.7854 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3679 loss: 1.3679 2022/06/28 17:07:14 - mmengine - INFO - Epoch(train) [63][1880/3757] lr: 1.000e-03 eta: 10:23:37 time: 0.241 data_time: 0.011 memory: 5150 grad_norm: 6.7527 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/06/28 17:07:19 - mmengine - INFO - Epoch(train) [63][1900/3757] lr: 1.000e-03 eta: 10:23:31 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 7.7358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/06/28 17:07:24 - mmengine - INFO - Epoch(train) [63][1920/3757] lr: 1.000e-03 eta: 10:23:26 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 8.8732 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2748 loss: 1.2748 2022/06/28 17:07:30 - mmengine - INFO - Epoch(train) [63][1940/3757] lr: 1.000e-03 eta: 10:23:20 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 7.7349 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4501 loss: 1.4501 2022/06/28 17:07:35 - mmengine - INFO - Epoch(train) [63][1960/3757] lr: 1.000e-03 eta: 10:23:15 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.6157 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1752 loss: 1.1752 2022/06/28 17:07:40 - mmengine - INFO - Epoch(train) [63][1980/3757] lr: 1.000e-03 eta: 10:23:10 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 7.0666 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2155 loss: 1.2155 2022/06/28 17:07:46 - mmengine - INFO - Epoch(train) [63][2000/3757] lr: 1.000e-03 eta: 10:23:05 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.4732 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1815 loss: 1.1815 2022/06/28 17:07:53 - mmengine - INFO - Epoch(train) [63][2020/3757] lr: 1.000e-03 eta: 10:23:00 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 6.9623 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/06/28 17:07:57 - mmengine - INFO - Epoch(train) [63][2040/3757] lr: 1.000e-03 eta: 10:22:54 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.5009 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3414 loss: 1.3414 2022/06/28 17:08:01 - mmengine - INFO - Epoch(train) [63][2060/3757] lr: 1.000e-03 eta: 10:22:48 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.7243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/06/28 17:08:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:08:06 - mmengine - INFO - Epoch(train) [63][2080/3757] lr: 1.000e-03 eta: 10:22:43 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.6566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3785 loss: 1.3785 2022/06/28 17:08:12 - mmengine - INFO - Epoch(train) [63][2100/3757] lr: 1.000e-03 eta: 10:22:37 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.3142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3957 loss: 1.3957 2022/06/28 17:08:17 - mmengine - INFO - Epoch(train) [63][2120/3757] lr: 1.000e-03 eta: 10:22:32 time: 0.203 data_time: 0.022 memory: 5150 grad_norm: 9.2834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0780 loss: 1.0780 2022/06/28 17:08:22 - mmengine - INFO - Epoch(train) [63][2140/3757] lr: 1.000e-03 eta: 10:22:27 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.0396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3110 loss: 1.3110 2022/06/28 17:08:28 - mmengine - INFO - Epoch(train) [63][2160/3757] lr: 1.000e-03 eta: 10:22:22 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 7.9639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/06/28 17:08:34 - mmengine - INFO - Epoch(train) [63][2180/3757] lr: 1.000e-03 eta: 10:22:17 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 8.4454 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3537 loss: 1.3537 2022/06/28 17:08:39 - mmengine - INFO - Epoch(train) [63][2200/3757] lr: 1.000e-03 eta: 10:22:11 time: 0.819 data_time: 0.007 memory: 5150 grad_norm: 8.4770 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/06/28 17:08:44 - mmengine - INFO - Epoch(train) [63][2220/3757] lr: 1.000e-03 eta: 10:22:06 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.3029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6368 loss: 1.6368 2022/06/28 17:08:50 - mmengine - INFO - Epoch(train) [63][2240/3757] lr: 1.000e-03 eta: 10:22:01 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 7.7879 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1434 loss: 1.1434 2022/06/28 17:08:55 - mmengine - INFO - Epoch(train) [63][2260/3757] lr: 1.000e-03 eta: 10:21:55 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.0059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5521 loss: 1.5521 2022/06/28 17:09:00 - mmengine - INFO - Epoch(train) [63][2280/3757] lr: 1.000e-03 eta: 10:21:50 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 7.8376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1445 loss: 1.1445 2022/06/28 17:09:06 - mmengine - INFO - Epoch(train) [63][2300/3757] lr: 1.000e-03 eta: 10:21:45 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/06/28 17:09:12 - mmengine - INFO - Epoch(train) [63][2320/3757] lr: 1.000e-03 eta: 10:21:40 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.7213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4714 loss: 1.4714 2022/06/28 17:09:16 - mmengine - INFO - Epoch(train) [63][2340/3757] lr: 1.000e-03 eta: 10:21:34 time: 0.229 data_time: 0.012 memory: 5150 grad_norm: 9.0804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5819 loss: 1.5819 2022/06/28 17:09:21 - mmengine - INFO - Epoch(train) [63][2360/3757] lr: 1.000e-03 eta: 10:21:29 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.2817 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2446 loss: 1.2446 2022/06/28 17:09:27 - mmengine - INFO - Epoch(train) [63][2380/3757] lr: 1.000e-03 eta: 10:21:24 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 8.0311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/06/28 17:09:32 - mmengine - INFO - Epoch(train) [63][2400/3757] lr: 1.000e-03 eta: 10:21:18 time: 0.207 data_time: 0.035 memory: 5150 grad_norm: 8.1524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3041 loss: 1.3041 2022/06/28 17:09:37 - mmengine - INFO - Epoch(train) [63][2420/3757] lr: 1.000e-03 eta: 10:21:13 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.4811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/06/28 17:09:43 - mmengine - INFO - Epoch(train) [63][2440/3757] lr: 1.000e-03 eta: 10:21:07 time: 0.303 data_time: 0.007 memory: 5150 grad_norm: 7.5260 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/06/28 17:09:48 - mmengine - INFO - Epoch(train) [63][2460/3757] lr: 1.000e-03 eta: 10:21:02 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 8.4662 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/06/28 17:09:53 - mmengine - INFO - Epoch(train) [63][2480/3757] lr: 1.000e-03 eta: 10:20:57 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.1548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2078 loss: 1.2078 2022/06/28 17:09:59 - mmengine - INFO - Epoch(train) [63][2500/3757] lr: 1.000e-03 eta: 10:20:52 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.1342 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0353 loss: 1.0353 2022/06/28 17:10:04 - mmengine - INFO - Epoch(train) [63][2520/3757] lr: 1.000e-03 eta: 10:20:46 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 7.8720 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/06/28 17:10:09 - mmengine - INFO - Epoch(train) [63][2540/3757] lr: 1.000e-03 eta: 10:20:41 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.0335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/06/28 17:10:15 - mmengine - INFO - Epoch(train) [63][2560/3757] lr: 1.000e-03 eta: 10:20:36 time: 0.225 data_time: 0.010 memory: 5150 grad_norm: 8.4395 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0832 loss: 1.0832 2022/06/28 17:10:20 - mmengine - INFO - Epoch(train) [63][2580/3757] lr: 1.000e-03 eta: 10:20:30 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 7.0611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3583 loss: 1.3583 2022/06/28 17:10:26 - mmengine - INFO - Epoch(train) [63][2600/3757] lr: 1.000e-03 eta: 10:20:25 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0390 loss: 1.0390 2022/06/28 17:10:31 - mmengine - INFO - Epoch(train) [63][2620/3757] lr: 1.000e-03 eta: 10:20:20 time: 0.224 data_time: 0.011 memory: 5150 grad_norm: 7.8683 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6769 loss: 1.6769 2022/06/28 17:10:36 - mmengine - INFO - Epoch(train) [63][2640/3757] lr: 1.000e-03 eta: 10:20:14 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 7.6757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0460 loss: 1.0460 2022/06/28 17:10:42 - mmengine - INFO - Epoch(train) [63][2660/3757] lr: 1.000e-03 eta: 10:20:09 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 8.2853 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4677 loss: 1.4677 2022/06/28 17:10:47 - mmengine - INFO - Epoch(train) [63][2680/3757] lr: 1.000e-03 eta: 10:20:04 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 6.6758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/06/28 17:10:52 - mmengine - INFO - Epoch(train) [63][2700/3757] lr: 1.000e-03 eta: 10:19:59 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.5150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4127 loss: 1.4127 2022/06/28 17:10:58 - mmengine - INFO - Epoch(train) [63][2720/3757] lr: 1.000e-03 eta: 10:19:53 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.1321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3334 loss: 1.3334 2022/06/28 17:11:03 - mmengine - INFO - Epoch(train) [63][2740/3757] lr: 1.000e-03 eta: 10:19:48 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 9.0254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/06/28 17:11:09 - mmengine - INFO - Epoch(train) [63][2760/3757] lr: 1.000e-03 eta: 10:19:43 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.0208 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2726 loss: 1.2726 2022/06/28 17:11:15 - mmengine - INFO - Epoch(train) [63][2780/3757] lr: 1.000e-03 eta: 10:19:38 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.2234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/06/28 17:11:19 - mmengine - INFO - Epoch(train) [63][2800/3757] lr: 1.000e-03 eta: 10:19:32 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 8.1253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4680 loss: 1.4680 2022/06/28 17:11:25 - mmengine - INFO - Epoch(train) [63][2820/3757] lr: 1.000e-03 eta: 10:19:27 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 8.2118 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4181 loss: 1.4181 2022/06/28 17:11:29 - mmengine - INFO - Epoch(train) [63][2840/3757] lr: 1.000e-03 eta: 10:19:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5329 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4405 loss: 1.4405 2022/06/28 17:11:35 - mmengine - INFO - Epoch(train) [63][2860/3757] lr: 1.000e-03 eta: 10:19:16 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.2588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/06/28 17:11:40 - mmengine - INFO - Epoch(train) [63][2880/3757] lr: 1.000e-03 eta: 10:19:11 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 9.1537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/06/28 17:11:45 - mmengine - INFO - Epoch(train) [63][2900/3757] lr: 1.000e-03 eta: 10:19:05 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 7.6528 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3385 loss: 1.3385 2022/06/28 17:11:50 - mmengine - INFO - Epoch(train) [63][2920/3757] lr: 1.000e-03 eta: 10:19:00 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.7187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5268 loss: 1.5268 2022/06/28 17:11:56 - mmengine - INFO - Epoch(train) [63][2940/3757] lr: 1.000e-03 eta: 10:18:55 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 6.9658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1834 loss: 1.1834 2022/06/28 17:12:02 - mmengine - INFO - Epoch(train) [63][2960/3757] lr: 1.000e-03 eta: 10:18:50 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.6940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/06/28 17:12:06 - mmengine - INFO - Epoch(train) [63][2980/3757] lr: 1.000e-03 eta: 10:18:44 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.0680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2171 loss: 1.2171 2022/06/28 17:12:12 - mmengine - INFO - Epoch(train) [63][3000/3757] lr: 1.000e-03 eta: 10:18:39 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.1628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4504 loss: 1.4504 2022/06/28 17:12:18 - mmengine - INFO - Epoch(train) [63][3020/3757] lr: 1.000e-03 eta: 10:18:34 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.7244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0324 loss: 1.0324 2022/06/28 17:12:23 - mmengine - INFO - Epoch(train) [63][3040/3757] lr: 1.000e-03 eta: 10:18:28 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1484 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3624 loss: 1.3624 2022/06/28 17:12:28 - mmengine - INFO - Epoch(train) [63][3060/3757] lr: 1.000e-03 eta: 10:18:23 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.3151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4097 loss: 1.4097 2022/06/28 17:12:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:12:35 - mmengine - INFO - Epoch(train) [63][3080/3757] lr: 1.000e-03 eta: 10:18:18 time: 0.251 data_time: 0.012 memory: 5150 grad_norm: 8.2810 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2947 loss: 1.2947 2022/06/28 17:12:39 - mmengine - INFO - Epoch(train) [63][3100/3757] lr: 1.000e-03 eta: 10:18:12 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.9576 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4656 loss: 1.4656 2022/06/28 17:12:44 - mmengine - INFO - Epoch(train) [63][3120/3757] lr: 1.000e-03 eta: 10:18:07 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.8449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3460 loss: 1.3460 2022/06/28 17:12:49 - mmengine - INFO - Epoch(train) [63][3140/3757] lr: 1.000e-03 eta: 10:18:01 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 7.7937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3219 loss: 1.3219 2022/06/28 17:12:54 - mmengine - INFO - Epoch(train) [63][3160/3757] lr: 1.000e-03 eta: 10:17:56 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.7358 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2511 loss: 1.2511 2022/06/28 17:13:00 - mmengine - INFO - Epoch(train) [63][3180/3757] lr: 1.000e-03 eta: 10:17:51 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 9.4536 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4169 loss: 1.4169 2022/06/28 17:13:06 - mmengine - INFO - Epoch(train) [63][3200/3757] lr: 1.000e-03 eta: 10:17:46 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 9.5089 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3653 loss: 1.3653 2022/06/28 17:13:11 - mmengine - INFO - Epoch(train) [63][3220/3757] lr: 1.000e-03 eta: 10:17:40 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.5064 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3580 loss: 1.3580 2022/06/28 17:13:16 - mmengine - INFO - Epoch(train) [63][3240/3757] lr: 1.000e-03 eta: 10:17:35 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.1037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2258 loss: 1.2258 2022/06/28 17:13:21 - mmengine - INFO - Epoch(train) [63][3260/3757] lr: 1.000e-03 eta: 10:17:30 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 8.2715 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2098 loss: 1.2098 2022/06/28 17:13:26 - mmengine - INFO - Epoch(train) [63][3280/3757] lr: 1.000e-03 eta: 10:17:24 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.2404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1948 loss: 1.1948 2022/06/28 17:13:32 - mmengine - INFO - Epoch(train) [63][3300/3757] lr: 1.000e-03 eta: 10:17:19 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.5247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7217 loss: 1.7217 2022/06/28 17:13:37 - mmengine - INFO - Epoch(train) [63][3320/3757] lr: 1.000e-03 eta: 10:17:14 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 7.8176 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.0476 loss: 1.0476 2022/06/28 17:13:41 - mmengine - INFO - Epoch(train) [63][3340/3757] lr: 1.000e-03 eta: 10:17:08 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 6.4545 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2700 loss: 1.2700 2022/06/28 17:13:47 - mmengine - INFO - Epoch(train) [63][3360/3757] lr: 1.000e-03 eta: 10:17:03 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 6.8315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/06/28 17:13:53 - mmengine - INFO - Epoch(train) [63][3380/3757] lr: 1.000e-03 eta: 10:16:58 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 7.7964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/06/28 17:13:58 - mmengine - INFO - Epoch(train) [63][3400/3757] lr: 1.000e-03 eta: 10:16:52 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 8.4058 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/06/28 17:14:03 - mmengine - INFO - Epoch(train) [63][3420/3757] lr: 1.000e-03 eta: 10:16:47 time: 0.222 data_time: 0.012 memory: 5150 grad_norm: 7.2001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/06/28 17:14:09 - mmengine - INFO - Epoch(train) [63][3440/3757] lr: 1.000e-03 eta: 10:16:42 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.5261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3307 loss: 1.3307 2022/06/28 17:14:14 - mmengine - INFO - Epoch(train) [63][3460/3757] lr: 1.000e-03 eta: 10:16:36 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 7.7813 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5259 loss: 1.5259 2022/06/28 17:14:20 - mmengine - INFO - Epoch(train) [63][3480/3757] lr: 1.000e-03 eta: 10:16:31 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.5781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5211 loss: 1.5211 2022/06/28 17:14:25 - mmengine - INFO - Epoch(train) [63][3500/3757] lr: 1.000e-03 eta: 10:16:26 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.0239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6070 loss: 1.6070 2022/06/28 17:14:30 - mmengine - INFO - Epoch(train) [63][3520/3757] lr: 1.000e-03 eta: 10:16:21 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/06/28 17:14:36 - mmengine - INFO - Epoch(train) [63][3540/3757] lr: 1.000e-03 eta: 10:16:15 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.0157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/06/28 17:14:41 - mmengine - INFO - Epoch(train) [63][3560/3757] lr: 1.000e-03 eta: 10:16:10 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.7801 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1089 loss: 1.1089 2022/06/28 17:14:47 - mmengine - INFO - Epoch(train) [63][3580/3757] lr: 1.000e-03 eta: 10:16:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8333 loss: 1.8333 2022/06/28 17:14:52 - mmengine - INFO - Epoch(train) [63][3600/3757] lr: 1.000e-03 eta: 10:15:59 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.7758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3640 loss: 1.3640 2022/06/28 17:14:57 - mmengine - INFO - Epoch(train) [63][3620/3757] lr: 1.000e-03 eta: 10:15:54 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.8527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3543 loss: 1.3543 2022/06/28 17:15:02 - mmengine - INFO - Epoch(train) [63][3640/3757] lr: 1.000e-03 eta: 10:15:48 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.8200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2381 loss: 1.2381 2022/06/28 17:15:07 - mmengine - INFO - Epoch(train) [63][3660/3757] lr: 1.000e-03 eta: 10:15:43 time: 0.219 data_time: 0.014 memory: 5150 grad_norm: 9.0080 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5336 loss: 1.5336 2022/06/28 17:15:12 - mmengine - INFO - Epoch(train) [63][3680/3757] lr: 1.000e-03 eta: 10:15:38 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.9917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6054 loss: 1.6054 2022/06/28 17:15:18 - mmengine - INFO - Epoch(train) [63][3700/3757] lr: 1.000e-03 eta: 10:15:32 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.1686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5205 loss: 1.5205 2022/06/28 17:15:23 - mmengine - INFO - Epoch(train) [63][3720/3757] lr: 1.000e-03 eta: 10:15:27 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 7.9404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2406 loss: 1.2406 2022/06/28 17:15:28 - mmengine - INFO - Epoch(train) [63][3740/3757] lr: 1.000e-03 eta: 10:15:22 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.9854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1689 loss: 1.1689 2022/06/28 17:15:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:16:05 - mmengine - INFO - Epoch(val) [63][20/310] eta: 0:05:46 time: 1.170 data_time: 0.540 memory: 9746 2022/06/28 17:16:27 - mmengine - INFO - Epoch(val) [63][40/310] eta: 0:04:49 time: 1.113 data_time: 0.452 memory: 9746 2022/06/28 17:16:51 - mmengine - INFO - Epoch(val) [63][60/310] eta: 0:04:17 time: 1.138 data_time: 0.484 memory: 9746 2022/06/28 17:17:14 - mmengine - INFO - Epoch(val) [63][80/310] eta: 0:04:56 time: 1.041 data_time: 0.401 memory: 9746 2022/06/28 17:17:38 - mmengine - INFO - Epoch(val) [63][100/310] eta: 0:03:57 time: 2.002 data_time: 1.351 memory: 9746 2022/06/28 17:17:58 - mmengine - INFO - Epoch(val) [63][120/310] eta: 0:03:19 time: 1.018 data_time: 0.372 memory: 9746 2022/06/28 17:18:23 - mmengine - INFO - Epoch(val) [63][140/310] eta: 0:03:26 time: 1.012 data_time: 0.362 memory: 9746 2022/06/28 17:18:48 - mmengine - INFO - Epoch(val) [63][160/310] eta: 0:03:15 time: 3.191 data_time: 2.499 memory: 9746 2022/06/28 17:19:11 - mmengine - INFO - Epoch(val) [63][180/310] eta: 0:02:48 time: 1.058 data_time: 0.415 memory: 9746 2022/06/28 17:19:34 - mmengine - INFO - Epoch(val) [63][200/310] eta: 0:02:15 time: 1.075 data_time: 0.435 memory: 9746 2022/06/28 17:19:56 - mmengine - INFO - Epoch(val) [63][220/310] eta: 0:01:35 time: 1.052 data_time: 0.411 memory: 9746 2022/06/28 17:20:17 - mmengine - INFO - Epoch(val) [63][240/310] eta: 0:01:19 time: 0.932 data_time: 0.275 memory: 9746 2022/06/28 17:20:41 - mmengine - INFO - Epoch(val) [63][260/310] eta: 0:01:01 time: 1.004 data_time: 0.357 memory: 9746 2022/06/28 17:21:04 - mmengine - INFO - Epoch(val) [63][280/310] eta: 0:00:35 time: 2.589 data_time: 1.896 memory: 9746 2022/06/28 17:21:23 - mmengine - INFO - Epoch(val) [63][300/310] eta: 0:00:08 time: 0.654 data_time: 0.089 memory: 9746 2022/06/28 17:21:35 - mmengine - INFO - Epoch(val) [63][310/310] acc/top1: 0.7100 acc/top5: 0.8969 acc/mean1: 0.7100 2022/06/28 17:21:43 - mmengine - INFO - Epoch(train) [64][20/3757] lr: 1.000e-03 eta: 10:15:12 time: 0.205 data_time: 0.008 memory: 9746 grad_norm: 6.3377 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1388 loss: 1.1388 2022/06/28 17:21:49 - mmengine - INFO - Epoch(train) [64][40/3757] lr: 1.000e-03 eta: 10:15:07 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.5113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3917 loss: 1.3917 2022/06/28 17:21:54 - mmengine - INFO - Epoch(train) [64][60/3757] lr: 1.000e-03 eta: 10:15:02 time: 0.315 data_time: 0.014 memory: 5150 grad_norm: 8.5848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4445 loss: 1.4445 2022/06/28 17:21:59 - mmengine - INFO - Epoch(train) [64][80/3757] lr: 1.000e-03 eta: 10:14:56 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 8.2723 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/06/28 17:22:05 - mmengine - INFO - Epoch(train) [64][100/3757] lr: 1.000e-03 eta: 10:14:52 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.4878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/06/28 17:22:10 - mmengine - INFO - Epoch(train) [64][120/3757] lr: 1.000e-03 eta: 10:14:46 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.2452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1881 loss: 1.1881 2022/06/28 17:22:16 - mmengine - INFO - Epoch(train) [64][140/3757] lr: 1.000e-03 eta: 10:14:41 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 5.4699 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2563 loss: 1.2563 2022/06/28 17:22:22 - mmengine - INFO - Epoch(train) [64][160/3757] lr: 1.000e-03 eta: 10:14:36 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 7.0691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3557 loss: 1.3557 2022/06/28 17:22:27 - mmengine - INFO - Epoch(train) [64][180/3757] lr: 1.000e-03 eta: 10:14:30 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 7.7490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/06/28 17:22:32 - mmengine - INFO - Epoch(train) [64][200/3757] lr: 1.000e-03 eta: 10:14:25 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.3896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4374 loss: 1.4374 2022/06/28 17:22:38 - mmengine - INFO - Epoch(train) [64][220/3757] lr: 1.000e-03 eta: 10:14:20 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.8068 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3331 loss: 1.3331 2022/06/28 17:22:42 - mmengine - INFO - Epoch(train) [64][240/3757] lr: 1.000e-03 eta: 10:14:14 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.4111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6691 loss: 1.6691 2022/06/28 17:22:48 - mmengine - INFO - Epoch(train) [64][260/3757] lr: 1.000e-03 eta: 10:14:09 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 6.9560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1841 loss: 1.1841 2022/06/28 17:22:53 - mmengine - INFO - Epoch(train) [64][280/3757] lr: 1.000e-03 eta: 10:14:03 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.8225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/06/28 17:22:58 - mmengine - INFO - Epoch(train) [64][300/3757] lr: 1.000e-03 eta: 10:13:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.3551 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4546 loss: 1.4546 2022/06/28 17:23:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:23:04 - mmengine - INFO - Epoch(train) [64][320/3757] lr: 1.000e-03 eta: 10:13:53 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 9.3782 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4049 loss: 1.4049 2022/06/28 17:23:09 - mmengine - INFO - Epoch(train) [64][340/3757] lr: 1.000e-03 eta: 10:13:48 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.1685 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5431 loss: 1.5431 2022/06/28 17:23:16 - mmengine - INFO - Epoch(train) [64][360/3757] lr: 1.000e-03 eta: 10:13:43 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.9904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5937 loss: 1.5937 2022/06/28 17:23:20 - mmengine - INFO - Epoch(train) [64][380/3757] lr: 1.000e-03 eta: 10:13:37 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 6.3797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5869 loss: 1.5869 2022/06/28 17:23:25 - mmengine - INFO - Epoch(train) [64][400/3757] lr: 1.000e-03 eta: 10:13:32 time: 0.201 data_time: 0.023 memory: 5150 grad_norm: 7.6862 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2654 loss: 1.2654 2022/06/28 17:23:30 - mmengine - INFO - Epoch(train) [64][420/3757] lr: 1.000e-03 eta: 10:13:26 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 8.4332 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4090 loss: 1.4090 2022/06/28 17:23:36 - mmengine - INFO - Epoch(train) [64][440/3757] lr: 1.000e-03 eta: 10:13:21 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.7564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/06/28 17:23:41 - mmengine - INFO - Epoch(train) [64][460/3757] lr: 1.000e-03 eta: 10:13:16 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 7.6177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5826 loss: 1.5826 2022/06/28 17:23:47 - mmengine - INFO - Epoch(train) [64][480/3757] lr: 1.000e-03 eta: 10:13:11 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 7.6621 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4182 loss: 1.4182 2022/06/28 17:23:53 - mmengine - INFO - Epoch(train) [64][500/3757] lr: 1.000e-03 eta: 10:13:06 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.8093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6899 loss: 1.6899 2022/06/28 17:23:57 - mmengine - INFO - Epoch(train) [64][520/3757] lr: 1.000e-03 eta: 10:13:00 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.0196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4135 loss: 1.4135 2022/06/28 17:24:04 - mmengine - INFO - Epoch(train) [64][540/3757] lr: 1.000e-03 eta: 10:12:55 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.0467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5904 loss: 1.5904 2022/06/28 17:24:09 - mmengine - INFO - Epoch(train) [64][560/3757] lr: 1.000e-03 eta: 10:12:50 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.3088 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3001 loss: 1.3001 2022/06/28 17:24:14 - mmengine - INFO - Epoch(train) [64][580/3757] lr: 1.000e-03 eta: 10:12:45 time: 0.195 data_time: 0.019 memory: 5150 grad_norm: 7.1787 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9308 loss: 0.9308 2022/06/28 17:24:20 - mmengine - INFO - Epoch(train) [64][600/3757] lr: 1.000e-03 eta: 10:12:39 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 8.6241 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8988 loss: 0.8988 2022/06/28 17:24:25 - mmengine - INFO - Epoch(train) [64][620/3757] lr: 1.000e-03 eta: 10:12:34 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.5748 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/06/28 17:24:30 - mmengine - INFO - Epoch(train) [64][640/3757] lr: 1.000e-03 eta: 10:12:28 time: 0.191 data_time: 0.009 memory: 5150 grad_norm: 7.9069 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7791 loss: 1.7791 2022/06/28 17:24:36 - mmengine - INFO - Epoch(train) [64][660/3757] lr: 1.000e-03 eta: 10:12:23 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.2822 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1958 loss: 1.1958 2022/06/28 17:24:41 - mmengine - INFO - Epoch(train) [64][680/3757] lr: 1.000e-03 eta: 10:12:18 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.9667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3976 loss: 1.3976 2022/06/28 17:24:46 - mmengine - INFO - Epoch(train) [64][700/3757] lr: 1.000e-03 eta: 10:12:12 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 7.7387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6254 loss: 1.6254 2022/06/28 17:24:51 - mmengine - INFO - Epoch(train) [64][720/3757] lr: 1.000e-03 eta: 10:12:07 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 8.7298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/28 17:24:57 - mmengine - INFO - Epoch(train) [64][740/3757] lr: 1.000e-03 eta: 10:12:02 time: 0.204 data_time: 0.026 memory: 5150 grad_norm: 6.5911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3158 loss: 1.3158 2022/06/28 17:25:01 - mmengine - INFO - Epoch(train) [64][760/3757] lr: 1.000e-03 eta: 10:11:56 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.7450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0081 loss: 1.0081 2022/06/28 17:25:07 - mmengine - INFO - Epoch(train) [64][780/3757] lr: 1.000e-03 eta: 10:11:51 time: 0.203 data_time: 0.022 memory: 5150 grad_norm: 8.2416 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6116 loss: 1.6116 2022/06/28 17:25:13 - mmengine - INFO - Epoch(train) [64][800/3757] lr: 1.000e-03 eta: 10:11:46 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.6827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3662 loss: 1.3662 2022/06/28 17:25:17 - mmengine - INFO - Epoch(train) [64][820/3757] lr: 1.000e-03 eta: 10:11:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.8555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5357 loss: 1.5357 2022/06/28 17:25:23 - mmengine - INFO - Epoch(train) [64][840/3757] lr: 1.000e-03 eta: 10:11:35 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 7.7087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3965 loss: 1.3965 2022/06/28 17:25:28 - mmengine - INFO - Epoch(train) [64][860/3757] lr: 1.000e-03 eta: 10:11:30 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.7638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0874 loss: 1.0874 2022/06/28 17:25:33 - mmengine - INFO - Epoch(train) [64][880/3757] lr: 1.000e-03 eta: 10:11:24 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 7.0359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1329 loss: 1.1329 2022/06/28 17:25:39 - mmengine - INFO - Epoch(train) [64][900/3757] lr: 1.000e-03 eta: 10:11:19 time: 0.769 data_time: 0.011 memory: 5150 grad_norm: 7.8628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/06/28 17:25:45 - mmengine - INFO - Epoch(train) [64][920/3757] lr: 1.000e-03 eta: 10:11:14 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 7.0581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3084 loss: 1.3084 2022/06/28 17:25:50 - mmengine - INFO - Epoch(train) [64][940/3757] lr: 1.000e-03 eta: 10:11:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8080 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6088 loss: 1.6088 2022/06/28 17:25:55 - mmengine - INFO - Epoch(train) [64][960/3757] lr: 1.000e-03 eta: 10:11:04 time: 0.223 data_time: 0.012 memory: 5150 grad_norm: 7.6666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3175 loss: 1.3175 2022/06/28 17:26:00 - mmengine - INFO - Epoch(train) [64][980/3757] lr: 1.000e-03 eta: 10:10:58 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.0725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5648 loss: 1.5648 2022/06/28 17:26:05 - mmengine - INFO - Epoch(train) [64][1000/3757] lr: 1.000e-03 eta: 10:10:53 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.3194 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4879 loss: 1.4879 2022/06/28 17:26:10 - mmengine - INFO - Epoch(train) [64][1020/3757] lr: 1.000e-03 eta: 10:10:47 time: 0.306 data_time: 0.008 memory: 5150 grad_norm: 7.9570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/06/28 17:26:16 - mmengine - INFO - Epoch(train) [64][1040/3757] lr: 1.000e-03 eta: 10:10:42 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.4791 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7017 loss: 0.7017 2022/06/28 17:26:20 - mmengine - INFO - Epoch(train) [64][1060/3757] lr: 1.000e-03 eta: 10:10:36 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 8.0943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3337 loss: 1.3337 2022/06/28 17:26:26 - mmengine - INFO - Epoch(train) [64][1080/3757] lr: 1.000e-03 eta: 10:10:31 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.0831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1445 loss: 1.1445 2022/06/28 17:26:31 - mmengine - INFO - Epoch(train) [64][1100/3757] lr: 1.000e-03 eta: 10:10:26 time: 0.683 data_time: 0.011 memory: 5150 grad_norm: 7.3563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4711 loss: 1.4711 2022/06/28 17:26:36 - mmengine - INFO - Epoch(train) [64][1120/3757] lr: 1.000e-03 eta: 10:10:20 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.6637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/06/28 17:26:41 - mmengine - INFO - Epoch(train) [64][1140/3757] lr: 1.000e-03 eta: 10:10:15 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 8.3167 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5786 loss: 1.5786 2022/06/28 17:26:47 - mmengine - INFO - Epoch(train) [64][1160/3757] lr: 1.000e-03 eta: 10:10:10 time: 0.499 data_time: 0.008 memory: 5150 grad_norm: 7.4776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4818 loss: 1.4818 2022/06/28 17:26:52 - mmengine - INFO - Epoch(train) [64][1180/3757] lr: 1.000e-03 eta: 10:10:04 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.3680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/06/28 17:26:58 - mmengine - INFO - Epoch(train) [64][1200/3757] lr: 1.000e-03 eta: 10:09:59 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.3785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5615 loss: 1.5615 2022/06/28 17:27:03 - mmengine - INFO - Epoch(train) [64][1220/3757] lr: 1.000e-03 eta: 10:09:54 time: 0.751 data_time: 0.008 memory: 5150 grad_norm: 7.6188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3731 loss: 1.3731 2022/06/28 17:27:08 - mmengine - INFO - Epoch(train) [64][1240/3757] lr: 1.000e-03 eta: 10:09:48 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.3228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/06/28 17:27:13 - mmengine - INFO - Epoch(train) [64][1260/3757] lr: 1.000e-03 eta: 10:09:43 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.5694 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4855 loss: 1.4855 2022/06/28 17:27:20 - mmengine - INFO - Epoch(train) [64][1280/3757] lr: 1.000e-03 eta: 10:09:38 time: 0.577 data_time: 0.008 memory: 5150 grad_norm: 6.2798 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/06/28 17:27:25 - mmengine - INFO - Epoch(train) [64][1300/3757] lr: 1.000e-03 eta: 10:09:33 time: 0.569 data_time: 0.012 memory: 5150 grad_norm: 7.7938 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5788 loss: 1.5788 2022/06/28 17:27:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:27:30 - mmengine - INFO - Epoch(train) [64][1320/3757] lr: 1.000e-03 eta: 10:09:27 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.9362 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6965 loss: 1.6965 2022/06/28 17:27:35 - mmengine - INFO - Epoch(train) [64][1340/3757] lr: 1.000e-03 eta: 10:09:22 time: 0.540 data_time: 0.011 memory: 5150 grad_norm: 7.5697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/06/28 17:27:41 - mmengine - INFO - Epoch(train) [64][1360/3757] lr: 1.000e-03 eta: 10:09:17 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.4943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3510 loss: 1.3510 2022/06/28 17:27:46 - mmengine - INFO - Epoch(train) [64][1380/3757] lr: 1.000e-03 eta: 10:09:12 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.3099 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1785 loss: 1.1785 2022/06/28 17:27:52 - mmengine - INFO - Epoch(train) [64][1400/3757] lr: 1.000e-03 eta: 10:09:06 time: 0.481 data_time: 0.007 memory: 5150 grad_norm: 7.4865 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1966 loss: 1.1966 2022/06/28 17:27:57 - mmengine - INFO - Epoch(train) [64][1420/3757] lr: 1.000e-03 eta: 10:09:01 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 8.4043 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7039 loss: 1.7039 2022/06/28 17:28:01 - mmengine - INFO - Epoch(train) [64][1440/3757] lr: 1.000e-03 eta: 10:08:55 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 9.0406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1610 loss: 1.1610 2022/06/28 17:28:06 - mmengine - INFO - Epoch(train) [64][1460/3757] lr: 1.000e-03 eta: 10:08:49 time: 0.302 data_time: 0.014 memory: 5150 grad_norm: 6.4867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2963 loss: 1.2963 2022/06/28 17:28:11 - mmengine - INFO - Epoch(train) [64][1480/3757] lr: 1.000e-03 eta: 10:08:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.2666 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3944 loss: 1.3944 2022/06/28 17:28:16 - mmengine - INFO - Epoch(train) [64][1500/3757] lr: 1.000e-03 eta: 10:08:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.1908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8474 loss: 1.8474 2022/06/28 17:28:22 - mmengine - INFO - Epoch(train) [64][1520/3757] lr: 1.000e-03 eta: 10:08:33 time: 0.420 data_time: 0.017 memory: 5150 grad_norm: 6.9280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/06/28 17:28:27 - mmengine - INFO - Epoch(train) [64][1540/3757] lr: 1.000e-03 eta: 10:08:28 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 7.3806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2814 loss: 1.2814 2022/06/28 17:28:32 - mmengine - INFO - Epoch(train) [64][1560/3757] lr: 1.000e-03 eta: 10:08:23 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5598 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3330 loss: 1.3330 2022/06/28 17:28:38 - mmengine - INFO - Epoch(train) [64][1580/3757] lr: 1.000e-03 eta: 10:08:18 time: 0.480 data_time: 0.006 memory: 5150 grad_norm: 7.0397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2313 loss: 1.2313 2022/06/28 17:28:44 - mmengine - INFO - Epoch(train) [64][1600/3757] lr: 1.000e-03 eta: 10:08:13 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.1356 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2294 loss: 1.2294 2022/06/28 17:28:49 - mmengine - INFO - Epoch(train) [64][1620/3757] lr: 1.000e-03 eta: 10:08:07 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 6.9094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1640 loss: 1.1640 2022/06/28 17:28:54 - mmengine - INFO - Epoch(train) [64][1640/3757] lr: 1.000e-03 eta: 10:08:02 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.6986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9431 loss: 0.9431 2022/06/28 17:29:00 - mmengine - INFO - Epoch(train) [64][1660/3757] lr: 1.000e-03 eta: 10:07:57 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 8.6794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/06/28 17:29:05 - mmengine - INFO - Epoch(train) [64][1680/3757] lr: 1.000e-03 eta: 10:07:51 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 7.5432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/06/28 17:29:10 - mmengine - INFO - Epoch(train) [64][1700/3757] lr: 1.000e-03 eta: 10:07:46 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2936 loss: 1.2936 2022/06/28 17:29:16 - mmengine - INFO - Epoch(train) [64][1720/3757] lr: 1.000e-03 eta: 10:07:41 time: 0.411 data_time: 0.011 memory: 5150 grad_norm: 8.8875 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4643 loss: 1.4643 2022/06/28 17:29:21 - mmengine - INFO - Epoch(train) [64][1740/3757] lr: 1.000e-03 eta: 10:07:35 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 8.0818 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1026 loss: 1.1026 2022/06/28 17:29:26 - mmengine - INFO - Epoch(train) [64][1760/3757] lr: 1.000e-03 eta: 10:07:30 time: 0.676 data_time: 0.007 memory: 5150 grad_norm: 7.9691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/06/28 17:29:32 - mmengine - INFO - Epoch(train) [64][1780/3757] lr: 1.000e-03 eta: 10:07:25 time: 0.369 data_time: 0.007 memory: 5150 grad_norm: 7.1190 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2282 loss: 1.2282 2022/06/28 17:29:37 - mmengine - INFO - Epoch(train) [64][1800/3757] lr: 1.000e-03 eta: 10:07:19 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 8.0713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6856 loss: 1.6856 2022/06/28 17:29:42 - mmengine - INFO - Epoch(train) [64][1820/3757] lr: 1.000e-03 eta: 10:07:14 time: 0.493 data_time: 0.008 memory: 5150 grad_norm: 6.4346 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2646 loss: 1.2646 2022/06/28 17:29:47 - mmengine - INFO - Epoch(train) [64][1840/3757] lr: 1.000e-03 eta: 10:07:09 time: 0.339 data_time: 0.008 memory: 5150 grad_norm: 7.1461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9997 loss: 0.9997 2022/06/28 17:29:52 - mmengine - INFO - Epoch(train) [64][1860/3757] lr: 1.000e-03 eta: 10:07:03 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 7.6287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6967 loss: 1.6967 2022/06/28 17:29:58 - mmengine - INFO - Epoch(train) [64][1880/3757] lr: 1.000e-03 eta: 10:06:58 time: 0.354 data_time: 0.007 memory: 5150 grad_norm: 7.1586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3145 loss: 1.3145 2022/06/28 17:30:04 - mmengine - INFO - Epoch(train) [64][1900/3757] lr: 1.000e-03 eta: 10:06:53 time: 0.263 data_time: 0.010 memory: 5150 grad_norm: 8.5368 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1669 loss: 1.1669 2022/06/28 17:30:09 - mmengine - INFO - Epoch(train) [64][1920/3757] lr: 1.000e-03 eta: 10:06:48 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.6548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1199 loss: 1.1199 2022/06/28 17:30:14 - mmengine - INFO - Epoch(train) [64][1940/3757] lr: 1.000e-03 eta: 10:06:42 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 7.5179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/06/28 17:30:19 - mmengine - INFO - Epoch(train) [64][1960/3757] lr: 1.000e-03 eta: 10:06:37 time: 0.271 data_time: 0.007 memory: 5150 grad_norm: 6.7538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/06/28 17:30:26 - mmengine - INFO - Epoch(train) [64][1980/3757] lr: 1.000e-03 eta: 10:06:32 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 7.3933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4395 loss: 1.4395 2022/06/28 17:30:30 - mmengine - INFO - Epoch(train) [64][2000/3757] lr: 1.000e-03 eta: 10:06:26 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.6829 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1864 loss: 1.1864 2022/06/28 17:30:35 - mmengine - INFO - Epoch(train) [64][2020/3757] lr: 1.000e-03 eta: 10:06:21 time: 0.276 data_time: 0.008 memory: 5150 grad_norm: 6.6012 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3463 loss: 1.3463 2022/06/28 17:30:41 - mmengine - INFO - Epoch(train) [64][2040/3757] lr: 1.000e-03 eta: 10:06:15 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.6400 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2535 loss: 1.2535 2022/06/28 17:30:46 - mmengine - INFO - Epoch(train) [64][2060/3757] lr: 1.000e-03 eta: 10:06:10 time: 0.402 data_time: 0.006 memory: 5150 grad_norm: 7.7944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3232 loss: 1.3232 2022/06/28 17:30:51 - mmengine - INFO - Epoch(train) [64][2080/3757] lr: 1.000e-03 eta: 10:06:05 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 8.2062 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2674 loss: 1.2674 2022/06/28 17:30:57 - mmengine - INFO - Epoch(train) [64][2100/3757] lr: 1.000e-03 eta: 10:06:00 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.7720 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3292 loss: 1.3292 2022/06/28 17:31:02 - mmengine - INFO - Epoch(train) [64][2120/3757] lr: 1.000e-03 eta: 10:05:54 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.2976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/06/28 17:31:07 - mmengine - INFO - Epoch(train) [64][2140/3757] lr: 1.000e-03 eta: 10:05:49 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.3523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2361 loss: 1.2361 2022/06/28 17:31:12 - mmengine - INFO - Epoch(train) [64][2160/3757] lr: 1.000e-03 eta: 10:05:43 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.1794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4375 loss: 1.4375 2022/06/28 17:31:18 - mmengine - INFO - Epoch(train) [64][2180/3757] lr: 1.000e-03 eta: 10:05:38 time: 0.233 data_time: 0.010 memory: 5150 grad_norm: 8.1083 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4317 loss: 1.4317 2022/06/28 17:31:23 - mmengine - INFO - Epoch(train) [64][2200/3757] lr: 1.000e-03 eta: 10:05:33 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 7.6430 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4738 loss: 1.4738 2022/06/28 17:31:28 - mmengine - INFO - Epoch(train) [64][2220/3757] lr: 1.000e-03 eta: 10:05:27 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.4570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1899 loss: 1.1899 2022/06/28 17:31:33 - mmengine - INFO - Epoch(train) [64][2240/3757] lr: 1.000e-03 eta: 10:05:22 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 7.5102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5608 loss: 1.5608 2022/06/28 17:31:39 - mmengine - INFO - Epoch(train) [64][2260/3757] lr: 1.000e-03 eta: 10:05:17 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.1297 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2640 loss: 1.2640 2022/06/28 17:31:45 - mmengine - INFO - Epoch(train) [64][2280/3757] lr: 1.000e-03 eta: 10:05:12 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.5177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5091 loss: 1.5091 2022/06/28 17:31:49 - mmengine - INFO - Epoch(train) [64][2300/3757] lr: 1.000e-03 eta: 10:05:06 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 6.2539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3722 loss: 1.3722 2022/06/28 17:31:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:31:55 - mmengine - INFO - Epoch(train) [64][2320/3757] lr: 1.000e-03 eta: 10:05:01 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.2993 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4800 loss: 1.4800 2022/06/28 17:32:00 - mmengine - INFO - Epoch(train) [64][2340/3757] lr: 1.000e-03 eta: 10:04:56 time: 0.222 data_time: 0.010 memory: 5150 grad_norm: 7.9288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9549 loss: 0.9549 2022/06/28 17:32:05 - mmengine - INFO - Epoch(train) [64][2360/3757] lr: 1.000e-03 eta: 10:04:50 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 6.6565 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2748 loss: 1.2748 2022/06/28 17:32:11 - mmengine - INFO - Epoch(train) [64][2380/3757] lr: 1.000e-03 eta: 10:04:45 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.8837 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2840 loss: 1.2840 2022/06/28 17:32:17 - mmengine - INFO - Epoch(train) [64][2400/3757] lr: 1.000e-03 eta: 10:04:40 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.8465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1320 loss: 1.1320 2022/06/28 17:32:21 - mmengine - INFO - Epoch(train) [64][2420/3757] lr: 1.000e-03 eta: 10:04:34 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 7.2564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1097 loss: 1.1097 2022/06/28 17:32:25 - mmengine - INFO - Epoch(train) [64][2440/3757] lr: 1.000e-03 eta: 10:04:28 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 7.9142 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9595 loss: 0.9595 2022/06/28 17:32:31 - mmengine - INFO - Epoch(train) [64][2460/3757] lr: 1.000e-03 eta: 10:04:23 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.9712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6085 loss: 1.6085 2022/06/28 17:32:36 - mmengine - INFO - Epoch(train) [64][2480/3757] lr: 1.000e-03 eta: 10:04:17 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.1831 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/06/28 17:32:41 - mmengine - INFO - Epoch(train) [64][2500/3757] lr: 1.000e-03 eta: 10:04:12 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.3074 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.6125 loss: 1.6125 2022/06/28 17:32:46 - mmengine - INFO - Epoch(train) [64][2520/3757] lr: 1.000e-03 eta: 10:04:07 time: 0.208 data_time: 0.027 memory: 5150 grad_norm: 7.0982 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2199 loss: 1.2199 2022/06/28 17:32:51 - mmengine - INFO - Epoch(train) [64][2540/3757] lr: 1.000e-03 eta: 10:04:01 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.7529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7121 loss: 1.7121 2022/06/28 17:32:57 - mmengine - INFO - Epoch(train) [64][2560/3757] lr: 1.000e-03 eta: 10:03:56 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 7.2554 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8685 loss: 1.8685 2022/06/28 17:33:02 - mmengine - INFO - Epoch(train) [64][2580/3757] lr: 1.000e-03 eta: 10:03:51 time: 0.209 data_time: 0.039 memory: 5150 grad_norm: 6.8773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3264 loss: 1.3264 2022/06/28 17:33:08 - mmengine - INFO - Epoch(train) [64][2600/3757] lr: 1.000e-03 eta: 10:03:45 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.0081 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/06/28 17:33:13 - mmengine - INFO - Epoch(train) [64][2620/3757] lr: 1.000e-03 eta: 10:03:40 time: 1.187 data_time: 0.010 memory: 5150 grad_norm: 8.2427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3073 loss: 1.3073 2022/06/28 17:33:18 - mmengine - INFO - Epoch(train) [64][2640/3757] lr: 1.000e-03 eta: 10:03:35 time: 0.211 data_time: 0.023 memory: 5150 grad_norm: 7.6819 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4255 loss: 1.4255 2022/06/28 17:33:23 - mmengine - INFO - Epoch(train) [64][2660/3757] lr: 1.000e-03 eta: 10:03:29 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 7.5585 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0122 loss: 1.0122 2022/06/28 17:33:28 - mmengine - INFO - Epoch(train) [64][2680/3757] lr: 1.000e-03 eta: 10:03:24 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 9.3744 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3916 loss: 1.3916 2022/06/28 17:33:34 - mmengine - INFO - Epoch(train) [64][2700/3757] lr: 1.000e-03 eta: 10:03:19 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 7.6648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3960 loss: 1.3960 2022/06/28 17:33:40 - mmengine - INFO - Epoch(train) [64][2720/3757] lr: 1.000e-03 eta: 10:03:14 time: 1.017 data_time: 0.011 memory: 5150 grad_norm: 8.0965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4988 loss: 1.4988 2022/06/28 17:33:45 - mmengine - INFO - Epoch(train) [64][2740/3757] lr: 1.000e-03 eta: 10:03:08 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 7.3362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2629 loss: 1.2629 2022/06/28 17:33:50 - mmengine - INFO - Epoch(train) [64][2760/3757] lr: 1.000e-03 eta: 10:03:03 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.3791 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3763 loss: 1.3763 2022/06/28 17:33:56 - mmengine - INFO - Epoch(train) [64][2780/3757] lr: 1.000e-03 eta: 10:02:58 time: 1.246 data_time: 0.014 memory: 5150 grad_norm: 7.6184 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4712 loss: 1.4712 2022/06/28 17:34:00 - mmengine - INFO - Epoch(train) [64][2800/3757] lr: 1.000e-03 eta: 10:02:52 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 8.5275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/06/28 17:34:06 - mmengine - INFO - Epoch(train) [64][2820/3757] lr: 1.000e-03 eta: 10:02:47 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 7.7150 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4961 loss: 1.4961 2022/06/28 17:34:11 - mmengine - INFO - Epoch(train) [64][2840/3757] lr: 1.000e-03 eta: 10:02:41 time: 0.216 data_time: 0.019 memory: 5150 grad_norm: 7.2374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2899 loss: 1.2899 2022/06/28 17:34:16 - mmengine - INFO - Epoch(train) [64][2860/3757] lr: 1.000e-03 eta: 10:02:36 time: 0.459 data_time: 0.013 memory: 5150 grad_norm: 7.6074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/06/28 17:34:22 - mmengine - INFO - Epoch(train) [64][2880/3757] lr: 1.000e-03 eta: 10:02:31 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.0258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6160 loss: 1.6160 2022/06/28 17:34:27 - mmengine - INFO - Epoch(train) [64][2900/3757] lr: 1.000e-03 eta: 10:02:26 time: 0.937 data_time: 0.023 memory: 5150 grad_norm: 7.8771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/06/28 17:34:32 - mmengine - INFO - Epoch(train) [64][2920/3757] lr: 1.000e-03 eta: 10:02:20 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 7.1117 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3371 loss: 1.3371 2022/06/28 17:34:38 - mmengine - INFO - Epoch(train) [64][2940/3757] lr: 1.000e-03 eta: 10:02:15 time: 0.390 data_time: 0.021 memory: 5150 grad_norm: 9.1472 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/28 17:34:43 - mmengine - INFO - Epoch(train) [64][2960/3757] lr: 1.000e-03 eta: 10:02:10 time: 0.829 data_time: 0.011 memory: 5150 grad_norm: 8.6511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2781 loss: 1.2781 2022/06/28 17:34:48 - mmengine - INFO - Epoch(train) [64][2980/3757] lr: 1.000e-03 eta: 10:02:04 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.5164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4046 loss: 1.4046 2022/06/28 17:34:54 - mmengine - INFO - Epoch(train) [64][3000/3757] lr: 1.000e-03 eta: 10:01:59 time: 0.209 data_time: 0.024 memory: 5150 grad_norm: 8.8865 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7584 loss: 1.7584 2022/06/28 17:34:59 - mmengine - INFO - Epoch(train) [64][3020/3757] lr: 1.000e-03 eta: 10:01:54 time: 0.291 data_time: 0.007 memory: 5150 grad_norm: 9.8005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/06/28 17:35:05 - mmengine - INFO - Epoch(train) [64][3040/3757] lr: 1.000e-03 eta: 10:01:48 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 5.7655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5938 loss: 1.5938 2022/06/28 17:35:10 - mmengine - INFO - Epoch(train) [64][3060/3757] lr: 1.000e-03 eta: 10:01:43 time: 0.202 data_time: 0.024 memory: 5150 grad_norm: 7.7367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/06/28 17:35:17 - mmengine - INFO - Epoch(train) [64][3080/3757] lr: 1.000e-03 eta: 10:01:39 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 7.7733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/06/28 17:35:21 - mmengine - INFO - Epoch(train) [64][3100/3757] lr: 1.000e-03 eta: 10:01:33 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.0513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0870 loss: 1.0870 2022/06/28 17:35:25 - mmengine - INFO - Epoch(train) [64][3120/3757] lr: 1.000e-03 eta: 10:01:27 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 7.4733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/06/28 17:35:29 - mmengine - INFO - Epoch(train) [64][3140/3757] lr: 1.000e-03 eta: 10:01:21 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 8.8075 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9166 loss: 1.9166 2022/06/28 17:35:35 - mmengine - INFO - Epoch(train) [64][3160/3757] lr: 1.000e-03 eta: 10:01:16 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.8792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1316 loss: 1.1316 2022/06/28 17:35:40 - mmengine - INFO - Epoch(train) [64][3180/3757] lr: 1.000e-03 eta: 10:01:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.2815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4115 loss: 1.4115 2022/06/28 17:35:45 - mmengine - INFO - Epoch(train) [64][3200/3757] lr: 1.000e-03 eta: 10:01:05 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.6607 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1979 loss: 1.1979 2022/06/28 17:35:51 - mmengine - INFO - Epoch(train) [64][3220/3757] lr: 1.000e-03 eta: 10:01:00 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.9675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2593 loss: 1.2593 2022/06/28 17:35:57 - mmengine - INFO - Epoch(train) [64][3240/3757] lr: 1.000e-03 eta: 10:00:55 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.7152 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4521 loss: 1.4521 2022/06/28 17:36:02 - mmengine - INFO - Epoch(train) [64][3260/3757] lr: 1.000e-03 eta: 10:00:49 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 7.2468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2807 loss: 1.2807 2022/06/28 17:36:08 - mmengine - INFO - Epoch(train) [64][3280/3757] lr: 1.000e-03 eta: 10:00:44 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 7.5924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6229 loss: 1.6229 2022/06/28 17:36:13 - mmengine - INFO - Epoch(train) [64][3300/3757] lr: 1.000e-03 eta: 10:00:39 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.7177 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8236 loss: 0.8236 2022/06/28 17:36:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:36:18 - mmengine - INFO - Epoch(train) [64][3320/3757] lr: 1.000e-03 eta: 10:00:34 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.7062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2865 loss: 1.2865 2022/06/28 17:36:24 - mmengine - INFO - Epoch(train) [64][3340/3757] lr: 1.000e-03 eta: 10:00:28 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 7.8435 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0201 loss: 1.0201 2022/06/28 17:36:30 - mmengine - INFO - Epoch(train) [64][3360/3757] lr: 1.000e-03 eta: 10:00:23 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.2034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4268 loss: 1.4268 2022/06/28 17:36:35 - mmengine - INFO - Epoch(train) [64][3380/3757] lr: 1.000e-03 eta: 10:00:18 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.4842 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/06/28 17:36:40 - mmengine - INFO - Epoch(train) [64][3400/3757] lr: 1.000e-03 eta: 10:00:13 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.3712 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3599 loss: 1.3599 2022/06/28 17:36:45 - mmengine - INFO - Epoch(train) [64][3420/3757] lr: 1.000e-03 eta: 10:00:07 time: 0.236 data_time: 0.007 memory: 5150 grad_norm: 6.7783 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4135 loss: 1.4135 2022/06/28 17:36:50 - mmengine - INFO - Epoch(train) [64][3440/3757] lr: 1.000e-03 eta: 10:00:02 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 6.7303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1526 loss: 1.1526 2022/06/28 17:36:56 - mmengine - INFO - Epoch(train) [64][3460/3757] lr: 1.000e-03 eta: 9:59:57 time: 0.485 data_time: 0.011 memory: 5150 grad_norm: 8.2839 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0128 loss: 2.0128 2022/06/28 17:37:01 - mmengine - INFO - Epoch(train) [64][3480/3757] lr: 1.000e-03 eta: 9:59:51 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.1926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1939 loss: 1.1939 2022/06/28 17:37:06 - mmengine - INFO - Epoch(train) [64][3500/3757] lr: 1.000e-03 eta: 9:59:46 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 7.4188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2568 loss: 1.2568 2022/06/28 17:37:12 - mmengine - INFO - Epoch(train) [64][3520/3757] lr: 1.000e-03 eta: 9:59:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.8346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2552 loss: 1.2552 2022/06/28 17:37:17 - mmengine - INFO - Epoch(train) [64][3540/3757] lr: 1.000e-03 eta: 9:59:35 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.6751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3591 loss: 1.3591 2022/06/28 17:37:22 - mmengine - INFO - Epoch(train) [64][3560/3757] lr: 1.000e-03 eta: 9:59:30 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.7047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1979 loss: 1.1979 2022/06/28 17:37:27 - mmengine - INFO - Epoch(train) [64][3580/3757] lr: 1.000e-03 eta: 9:59:24 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 7.3878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3558 loss: 1.3558 2022/06/28 17:37:32 - mmengine - INFO - Epoch(train) [64][3600/3757] lr: 1.000e-03 eta: 9:59:19 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2320 loss: 1.2320 2022/06/28 17:37:38 - mmengine - INFO - Epoch(train) [64][3620/3757] lr: 1.000e-03 eta: 9:59:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.7538 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/06/28 17:37:44 - mmengine - INFO - Epoch(train) [64][3640/3757] lr: 1.000e-03 eta: 9:59:09 time: 0.660 data_time: 0.008 memory: 5150 grad_norm: 7.1213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0047 loss: 1.0047 2022/06/28 17:37:49 - mmengine - INFO - Epoch(train) [64][3660/3757] lr: 1.000e-03 eta: 9:59:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5615 loss: 1.5615 2022/06/28 17:37:54 - mmengine - INFO - Epoch(train) [64][3680/3757] lr: 1.000e-03 eta: 9:58:58 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.9835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4161 loss: 1.4161 2022/06/28 17:38:00 - mmengine - INFO - Epoch(train) [64][3700/3757] lr: 1.000e-03 eta: 9:58:53 time: 0.716 data_time: 0.007 memory: 5150 grad_norm: 7.7772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5886 loss: 1.5886 2022/06/28 17:38:05 - mmengine - INFO - Epoch(train) [64][3720/3757] lr: 1.000e-03 eta: 9:58:47 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.9930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3038 loss: 1.3038 2022/06/28 17:38:10 - mmengine - INFO - Epoch(train) [64][3740/3757] lr: 1.000e-03 eta: 9:58:42 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.8111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/06/28 17:38:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:38:47 - mmengine - INFO - Epoch(val) [64][20/310] eta: 0:05:37 time: 1.144 data_time: 0.474 memory: 9746 2022/06/28 17:39:08 - mmengine - INFO - Epoch(val) [64][40/310] eta: 0:04:49 time: 1.000 data_time: 0.382 memory: 9746 2022/06/28 17:39:32 - mmengine - INFO - Epoch(val) [64][60/310] eta: 0:04:17 time: 1.094 data_time: 0.459 memory: 9746 2022/06/28 17:39:56 - mmengine - INFO - Epoch(val) [64][80/310] eta: 0:05:05 time: 1.081 data_time: 0.422 memory: 9746 2022/06/28 17:40:19 - mmengine - INFO - Epoch(val) [64][100/310] eta: 0:04:12 time: 2.917 data_time: 2.234 memory: 9746 2022/06/28 17:40:40 - mmengine - INFO - Epoch(val) [64][120/310] eta: 0:03:21 time: 1.138 data_time: 0.507 memory: 9746 2022/06/28 17:41:05 - mmengine - INFO - Epoch(val) [64][140/310] eta: 0:03:19 time: 1.158 data_time: 0.515 memory: 9746 2022/06/28 17:41:30 - mmengine - INFO - Epoch(val) [64][160/310] eta: 0:03:22 time: 3.909 data_time: 3.221 memory: 9746 2022/06/28 17:41:53 - mmengine - INFO - Epoch(val) [64][180/310] eta: 0:02:41 time: 1.003 data_time: 0.354 memory: 9746 2022/06/28 17:42:16 - mmengine - INFO - Epoch(val) [64][200/310] eta: 0:02:19 time: 1.127 data_time: 0.481 memory: 9746 2022/06/28 17:42:37 - mmengine - INFO - Epoch(val) [64][220/310] eta: 0:01:34 time: 1.032 data_time: 0.408 memory: 9746 2022/06/28 17:42:58 - mmengine - INFO - Epoch(val) [64][240/310] eta: 0:01:13 time: 1.082 data_time: 0.435 memory: 9746 2022/06/28 17:43:21 - mmengine - INFO - Epoch(val) [64][260/310] eta: 0:01:00 time: 1.031 data_time: 0.371 memory: 9746 2022/06/28 17:43:45 - mmengine - INFO - Epoch(val) [64][280/310] eta: 0:00:34 time: 2.325 data_time: 1.650 memory: 9746 2022/06/28 17:44:04 - mmengine - INFO - Epoch(val) [64][300/310] eta: 0:00:08 time: 0.656 data_time: 0.088 memory: 9746 2022/06/28 17:44:16 - mmengine - INFO - Epoch(val) [64][310/310] acc/top1: 0.7086 acc/top5: 0.8978 acc/mean1: 0.7085 2022/06/28 17:44:25 - mmengine - INFO - Epoch(train) [65][20/3757] lr: 1.000e-03 eta: 9:58:32 time: 0.194 data_time: 0.007 memory: 9746 grad_norm: 8.0137 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4782 loss: 1.4782 2022/06/28 17:44:30 - mmengine - INFO - Epoch(train) [65][40/3757] lr: 1.000e-03 eta: 9:58:27 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.5894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3316 loss: 1.3316 2022/06/28 17:44:35 - mmengine - INFO - Epoch(train) [65][60/3757] lr: 1.000e-03 eta: 9:58:22 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.6404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/06/28 17:44:41 - mmengine - INFO - Epoch(train) [65][80/3757] lr: 1.000e-03 eta: 9:58:17 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 7.3860 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3857 loss: 1.3857 2022/06/28 17:44:46 - mmengine - INFO - Epoch(train) [65][100/3757] lr: 1.000e-03 eta: 9:58:11 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 6.1788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4452 loss: 1.4452 2022/06/28 17:44:51 - mmengine - INFO - Epoch(train) [65][120/3757] lr: 1.000e-03 eta: 9:58:06 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 8.4242 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1754 loss: 1.1754 2022/06/28 17:44:57 - mmengine - INFO - Epoch(train) [65][140/3757] lr: 1.000e-03 eta: 9:58:01 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 9.2277 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1152 loss: 1.1152 2022/06/28 17:45:03 - mmengine - INFO - Epoch(train) [65][160/3757] lr: 1.000e-03 eta: 9:57:56 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 7.7311 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3841 loss: 1.3841 2022/06/28 17:45:07 - mmengine - INFO - Epoch(train) [65][180/3757] lr: 1.000e-03 eta: 9:57:50 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.5772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/06/28 17:45:13 - mmengine - INFO - Epoch(train) [65][200/3757] lr: 1.000e-03 eta: 9:57:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6523 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1724 loss: 1.1724 2022/06/28 17:45:19 - mmengine - INFO - Epoch(train) [65][220/3757] lr: 1.000e-03 eta: 9:57:40 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 9.4284 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7212 loss: 1.7212 2022/06/28 17:45:23 - mmengine - INFO - Epoch(train) [65][240/3757] lr: 1.000e-03 eta: 9:57:34 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 8.0413 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3336 loss: 1.3336 2022/06/28 17:45:29 - mmengine - INFO - Epoch(train) [65][260/3757] lr: 1.000e-03 eta: 9:57:29 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.8793 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3457 loss: 1.3457 2022/06/28 17:45:35 - mmengine - INFO - Epoch(train) [65][280/3757] lr: 1.000e-03 eta: 9:57:24 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 7.3420 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3569 loss: 1.3569 2022/06/28 17:45:40 - mmengine - INFO - Epoch(train) [65][300/3757] lr: 1.000e-03 eta: 9:57:18 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 6.3095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/06/28 17:45:45 - mmengine - INFO - Epoch(train) [65][320/3757] lr: 1.000e-03 eta: 9:57:13 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.7692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6373 loss: 1.6373 2022/06/28 17:45:50 - mmengine - INFO - Epoch(train) [65][340/3757] lr: 1.000e-03 eta: 9:57:08 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.7449 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1787 loss: 1.1787 2022/06/28 17:45:55 - mmengine - INFO - Epoch(train) [65][360/3757] lr: 1.000e-03 eta: 9:57:02 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 7.4868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/06/28 17:46:01 - mmengine - INFO - Epoch(train) [65][380/3757] lr: 1.000e-03 eta: 9:56:57 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 7.2998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4013 loss: 1.4013 2022/06/28 17:46:06 - mmengine - INFO - Epoch(train) [65][400/3757] lr: 1.000e-03 eta: 9:56:52 time: 0.217 data_time: 0.033 memory: 5150 grad_norm: 8.0121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/06/28 17:46:12 - mmengine - INFO - Epoch(train) [65][420/3757] lr: 1.000e-03 eta: 9:56:46 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.3329 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1692 loss: 1.1692 2022/06/28 17:46:17 - mmengine - INFO - Epoch(train) [65][440/3757] lr: 1.000e-03 eta: 9:56:41 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 6.3705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/06/28 17:46:23 - mmengine - INFO - Epoch(train) [65][460/3757] lr: 1.000e-03 eta: 9:56:36 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.7652 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/06/28 17:46:28 - mmengine - INFO - Epoch(train) [65][480/3757] lr: 1.000e-03 eta: 9:56:31 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.1451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0113 loss: 1.0113 2022/06/28 17:46:33 - mmengine - INFO - Epoch(train) [65][500/3757] lr: 1.000e-03 eta: 9:56:25 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.3894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4781 loss: 1.4781 2022/06/28 17:46:38 - mmengine - INFO - Epoch(train) [65][520/3757] lr: 1.000e-03 eta: 9:56:20 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.8799 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7669 loss: 1.7669 2022/06/28 17:46:43 - mmengine - INFO - Epoch(train) [65][540/3757] lr: 1.000e-03 eta: 9:56:14 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.6330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2817 loss: 1.2817 2022/06/28 17:46:47 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:46:49 - mmengine - INFO - Epoch(train) [65][560/3757] lr: 1.000e-03 eta: 9:56:09 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 8.1055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3421 loss: 1.3421 2022/06/28 17:46:55 - mmengine - INFO - Epoch(train) [65][580/3757] lr: 1.000e-03 eta: 9:56:04 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 7.1016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/06/28 17:46:59 - mmengine - INFO - Epoch(train) [65][600/3757] lr: 1.000e-03 eta: 9:55:58 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.3594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5015 loss: 1.5015 2022/06/28 17:47:05 - mmengine - INFO - Epoch(train) [65][620/3757] lr: 1.000e-03 eta: 9:55:53 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 9.3366 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5149 loss: 1.5149 2022/06/28 17:47:11 - mmengine - INFO - Epoch(train) [65][640/3757] lr: 1.000e-03 eta: 9:55:48 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.6325 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2080 loss: 1.2080 2022/06/28 17:47:15 - mmengine - INFO - Epoch(train) [65][660/3757] lr: 1.000e-03 eta: 9:55:42 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 8.3984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3722 loss: 1.3722 2022/06/28 17:47:21 - mmengine - INFO - Epoch(train) [65][680/3757] lr: 1.000e-03 eta: 9:55:37 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 8.2223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5664 loss: 1.5664 2022/06/28 17:47:26 - mmengine - INFO - Epoch(train) [65][700/3757] lr: 1.000e-03 eta: 9:55:32 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 6.6391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5795 loss: 1.5795 2022/06/28 17:47:32 - mmengine - INFO - Epoch(train) [65][720/3757] lr: 1.000e-03 eta: 9:55:27 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 6.4102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1232 loss: 1.1232 2022/06/28 17:47:37 - mmengine - INFO - Epoch(train) [65][740/3757] lr: 1.000e-03 eta: 9:55:21 time: 0.247 data_time: 0.007 memory: 5150 grad_norm: 7.6803 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5495 loss: 1.5495 2022/06/28 17:47:43 - mmengine - INFO - Epoch(train) [65][760/3757] lr: 1.000e-03 eta: 9:55:16 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.1816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1198 loss: 1.1198 2022/06/28 17:47:47 - mmengine - INFO - Epoch(train) [65][780/3757] lr: 1.000e-03 eta: 9:55:11 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 6.4236 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7095 loss: 1.7095 2022/06/28 17:47:53 - mmengine - INFO - Epoch(train) [65][800/3757] lr: 1.000e-03 eta: 9:55:05 time: 0.206 data_time: 0.021 memory: 5150 grad_norm: 8.1831 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/28 17:47:58 - mmengine - INFO - Epoch(train) [65][820/3757] lr: 1.000e-03 eta: 9:55:00 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 7.2167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4234 loss: 1.4234 2022/06/28 17:48:03 - mmengine - INFO - Epoch(train) [65][840/3757] lr: 1.000e-03 eta: 9:54:54 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.2317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4980 loss: 1.4980 2022/06/28 17:48:09 - mmengine - INFO - Epoch(train) [65][860/3757] lr: 1.000e-03 eta: 9:54:49 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 7.4389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/06/28 17:48:15 - mmengine - INFO - Epoch(train) [65][880/3757] lr: 1.000e-03 eta: 9:54:44 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.2875 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4752 loss: 1.4752 2022/06/28 17:48:20 - mmengine - INFO - Epoch(train) [65][900/3757] lr: 1.000e-03 eta: 9:54:39 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 7.5206 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1445 loss: 1.1445 2022/06/28 17:48:24 - mmengine - INFO - Epoch(train) [65][920/3757] lr: 1.000e-03 eta: 9:54:33 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 7.8800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4239 loss: 1.4239 2022/06/28 17:48:30 - mmengine - INFO - Epoch(train) [65][940/3757] lr: 1.000e-03 eta: 9:54:28 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.5163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3303 loss: 1.3303 2022/06/28 17:48:36 - mmengine - INFO - Epoch(train) [65][960/3757] lr: 1.000e-03 eta: 9:54:23 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.3502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2049 loss: 1.2049 2022/06/28 17:48:42 - mmengine - INFO - Epoch(train) [65][980/3757] lr: 1.000e-03 eta: 9:54:18 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.7879 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6419 loss: 1.6419 2022/06/28 17:48:46 - mmengine - INFO - Epoch(train) [65][1000/3757] lr: 1.000e-03 eta: 9:54:12 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 7.7040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/06/28 17:48:51 - mmengine - INFO - Epoch(train) [65][1020/3757] lr: 1.000e-03 eta: 9:54:06 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.6326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1896 loss: 1.1896 2022/06/28 17:48:56 - mmengine - INFO - Epoch(train) [65][1040/3757] lr: 1.000e-03 eta: 9:54:01 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.0514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1214 loss: 1.1214 2022/06/28 17:49:02 - mmengine - INFO - Epoch(train) [65][1060/3757] lr: 1.000e-03 eta: 9:53:56 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 8.4144 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2921 loss: 1.2921 2022/06/28 17:49:07 - mmengine - INFO - Epoch(train) [65][1080/3757] lr: 1.000e-03 eta: 9:53:51 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 9.2813 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1129 loss: 1.1129 2022/06/28 17:49:13 - mmengine - INFO - Epoch(train) [65][1100/3757] lr: 1.000e-03 eta: 9:53:46 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.4312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9087 loss: 0.9087 2022/06/28 17:49:18 - mmengine - INFO - Epoch(train) [65][1120/3757] lr: 1.000e-03 eta: 9:53:41 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.6361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4856 loss: 1.4856 2022/06/28 17:49:24 - mmengine - INFO - Epoch(train) [65][1140/3757] lr: 1.000e-03 eta: 9:53:35 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.8127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5325 loss: 1.5325 2022/06/28 17:49:29 - mmengine - INFO - Epoch(train) [65][1160/3757] lr: 1.000e-03 eta: 9:53:30 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 8.5442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3646 loss: 1.3646 2022/06/28 17:49:34 - mmengine - INFO - Epoch(train) [65][1180/3757] lr: 1.000e-03 eta: 9:53:25 time: 0.341 data_time: 0.020 memory: 5150 grad_norm: 8.0302 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4305 loss: 1.4305 2022/06/28 17:49:40 - mmengine - INFO - Epoch(train) [65][1200/3757] lr: 1.000e-03 eta: 9:53:19 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.3791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1178 loss: 1.1178 2022/06/28 17:49:46 - mmengine - INFO - Epoch(train) [65][1220/3757] lr: 1.000e-03 eta: 9:53:14 time: 0.214 data_time: 0.037 memory: 5150 grad_norm: 8.5643 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3183 loss: 1.3183 2022/06/28 17:49:51 - mmengine - INFO - Epoch(train) [65][1240/3757] lr: 1.000e-03 eta: 9:53:09 time: 0.211 data_time: 0.033 memory: 5150 grad_norm: 8.7383 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3135 loss: 1.3135 2022/06/28 17:49:55 - mmengine - INFO - Epoch(train) [65][1260/3757] lr: 1.000e-03 eta: 9:53:03 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 8.0630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/06/28 17:50:01 - mmengine - INFO - Epoch(train) [65][1280/3757] lr: 1.000e-03 eta: 9:52:58 time: 0.194 data_time: 0.021 memory: 5150 grad_norm: 7.4369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4668 loss: 1.4668 2022/06/28 17:50:07 - mmengine - INFO - Epoch(train) [65][1300/3757] lr: 1.000e-03 eta: 9:52:53 time: 0.209 data_time: 0.033 memory: 5150 grad_norm: 6.3601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5426 loss: 1.5426 2022/06/28 17:50:12 - mmengine - INFO - Epoch(train) [65][1320/3757] lr: 1.000e-03 eta: 9:52:48 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.6231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1686 loss: 1.1686 2022/06/28 17:50:18 - mmengine - INFO - Epoch(train) [65][1340/3757] lr: 1.000e-03 eta: 9:52:43 time: 0.199 data_time: 0.024 memory: 5150 grad_norm: 7.5247 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3700 loss: 1.3700 2022/06/28 17:50:24 - mmengine - INFO - Epoch(train) [65][1360/3757] lr: 1.000e-03 eta: 9:52:38 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 8.4283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5506 loss: 1.5506 2022/06/28 17:50:29 - mmengine - INFO - Epoch(train) [65][1380/3757] lr: 1.000e-03 eta: 9:52:32 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.8659 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3122 loss: 1.3122 2022/06/28 17:50:34 - mmengine - INFO - Epoch(train) [65][1400/3757] lr: 1.000e-03 eta: 9:52:27 time: 0.209 data_time: 0.031 memory: 5150 grad_norm: 7.8395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/06/28 17:50:40 - mmengine - INFO - Epoch(train) [65][1420/3757] lr: 1.000e-03 eta: 9:52:22 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.0968 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3557 loss: 1.3557 2022/06/28 17:50:44 - mmengine - INFO - Epoch(train) [65][1440/3757] lr: 1.000e-03 eta: 9:52:16 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.2337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4009 loss: 1.4009 2022/06/28 17:50:51 - mmengine - INFO - Epoch(train) [65][1460/3757] lr: 1.000e-03 eta: 9:52:11 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 8.5199 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4192 loss: 1.4192 2022/06/28 17:50:56 - mmengine - INFO - Epoch(train) [65][1480/3757] lr: 1.000e-03 eta: 9:52:06 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 6.6550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3838 loss: 1.3838 2022/06/28 17:51:00 - mmengine - INFO - Epoch(train) [65][1500/3757] lr: 1.000e-03 eta: 9:52:00 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.9226 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1129 loss: 1.1129 2022/06/28 17:51:06 - mmengine - INFO - Epoch(train) [65][1520/3757] lr: 1.000e-03 eta: 9:51:55 time: 0.202 data_time: 0.024 memory: 5150 grad_norm: 6.3518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/06/28 17:51:11 - mmengine - INFO - Epoch(train) [65][1540/3757] lr: 1.000e-03 eta: 9:51:50 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.4282 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3904 loss: 1.3904 2022/06/28 17:51:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:51:16 - mmengine - INFO - Epoch(train) [65][1560/3757] lr: 1.000e-03 eta: 9:51:44 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.0875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0850 loss: 1.0850 2022/06/28 17:51:22 - mmengine - INFO - Epoch(train) [65][1580/3757] lr: 1.000e-03 eta: 9:51:39 time: 0.222 data_time: 0.040 memory: 5150 grad_norm: 6.4700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5717 loss: 1.5717 2022/06/28 17:51:27 - mmengine - INFO - Epoch(train) [65][1600/3757] lr: 1.000e-03 eta: 9:51:34 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.4759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1089 loss: 1.1089 2022/06/28 17:51:32 - mmengine - INFO - Epoch(train) [65][1620/3757] lr: 1.000e-03 eta: 9:51:28 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.3905 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5756 loss: 1.5756 2022/06/28 17:51:39 - mmengine - INFO - Epoch(train) [65][1640/3757] lr: 1.000e-03 eta: 9:51:23 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 8.8021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3989 loss: 1.3989 2022/06/28 17:51:44 - mmengine - INFO - Epoch(train) [65][1660/3757] lr: 1.000e-03 eta: 9:51:18 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 6.8619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1708 loss: 1.1708 2022/06/28 17:51:49 - mmengine - INFO - Epoch(train) [65][1680/3757] lr: 1.000e-03 eta: 9:51:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.1034 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2319 loss: 1.2319 2022/06/28 17:51:55 - mmengine - INFO - Epoch(train) [65][1700/3757] lr: 1.000e-03 eta: 9:51:08 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.2255 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3819 loss: 1.3819 2022/06/28 17:52:00 - mmengine - INFO - Epoch(train) [65][1720/3757] lr: 1.000e-03 eta: 9:51:02 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.4232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3516 loss: 1.3516 2022/06/28 17:52:05 - mmengine - INFO - Epoch(train) [65][1740/3757] lr: 1.000e-03 eta: 9:50:57 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 7.2477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8454 loss: 1.8454 2022/06/28 17:52:11 - mmengine - INFO - Epoch(train) [65][1760/3757] lr: 1.000e-03 eta: 9:50:52 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.8231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/06/28 17:52:16 - mmengine - INFO - Epoch(train) [65][1780/3757] lr: 1.000e-03 eta: 9:50:46 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.4784 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3882 loss: 1.3882 2022/06/28 17:52:21 - mmengine - INFO - Epoch(train) [65][1800/3757] lr: 1.000e-03 eta: 9:50:41 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 8.1974 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4471 loss: 1.4471 2022/06/28 17:52:26 - mmengine - INFO - Epoch(train) [65][1820/3757] lr: 1.000e-03 eta: 9:50:36 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 7.0242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/28 17:52:31 - mmengine - INFO - Epoch(train) [65][1840/3757] lr: 1.000e-03 eta: 9:50:30 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0469 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5731 loss: 1.5731 2022/06/28 17:52:37 - mmengine - INFO - Epoch(train) [65][1860/3757] lr: 1.000e-03 eta: 9:50:25 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 7.5907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2788 loss: 1.2788 2022/06/28 17:52:43 - mmengine - INFO - Epoch(train) [65][1880/3757] lr: 1.000e-03 eta: 9:50:20 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.3849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5453 loss: 1.5453 2022/06/28 17:52:48 - mmengine - INFO - Epoch(train) [65][1900/3757] lr: 1.000e-03 eta: 9:50:15 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.6706 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1043 loss: 1.1043 2022/06/28 17:52:53 - mmengine - INFO - Epoch(train) [65][1920/3757] lr: 1.000e-03 eta: 9:50:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.1144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3399 loss: 1.3399 2022/06/28 17:52:58 - mmengine - INFO - Epoch(train) [65][1940/3757] lr: 1.000e-03 eta: 9:50:04 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.5337 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3229 loss: 1.3229 2022/06/28 17:53:04 - mmengine - INFO - Epoch(train) [65][1960/3757] lr: 1.000e-03 eta: 9:49:58 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 7.2822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2832 loss: 1.2832 2022/06/28 17:53:10 - mmengine - INFO - Epoch(train) [65][1980/3757] lr: 1.000e-03 eta: 9:49:53 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.9844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0180 loss: 1.0180 2022/06/28 17:53:15 - mmengine - INFO - Epoch(train) [65][2000/3757] lr: 1.000e-03 eta: 9:49:48 time: 0.760 data_time: 0.007 memory: 5150 grad_norm: 7.2082 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5845 loss: 1.5845 2022/06/28 17:53:20 - mmengine - INFO - Epoch(train) [65][2020/3757] lr: 1.000e-03 eta: 9:49:43 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.4001 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2102 loss: 1.2102 2022/06/28 17:53:26 - mmengine - INFO - Epoch(train) [65][2040/3757] lr: 1.000e-03 eta: 9:49:38 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3830 loss: 1.3830 2022/06/28 17:53:31 - mmengine - INFO - Epoch(train) [65][2060/3757] lr: 1.000e-03 eta: 9:49:32 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.6076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/06/28 17:53:36 - mmengine - INFO - Epoch(train) [65][2080/3757] lr: 1.000e-03 eta: 9:49:27 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.0288 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4187 loss: 1.4187 2022/06/28 17:53:41 - mmengine - INFO - Epoch(train) [65][2100/3757] lr: 1.000e-03 eta: 9:49:21 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.7855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4211 loss: 1.4211 2022/06/28 17:53:47 - mmengine - INFO - Epoch(train) [65][2120/3757] lr: 1.000e-03 eta: 9:49:16 time: 0.392 data_time: 0.008 memory: 5150 grad_norm: 7.3720 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5173 loss: 1.5173 2022/06/28 17:53:52 - mmengine - INFO - Epoch(train) [65][2140/3757] lr: 1.000e-03 eta: 9:49:11 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7954 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3976 loss: 1.3976 2022/06/28 17:53:59 - mmengine - INFO - Epoch(train) [65][2160/3757] lr: 1.000e-03 eta: 9:49:06 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.5794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4114 loss: 1.4114 2022/06/28 17:54:03 - mmengine - INFO - Epoch(train) [65][2180/3757] lr: 1.000e-03 eta: 9:49:00 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 7.2207 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0999 loss: 1.0999 2022/06/28 17:54:07 - mmengine - INFO - Epoch(train) [65][2200/3757] lr: 1.000e-03 eta: 9:48:54 time: 0.249 data_time: 0.007 memory: 5150 grad_norm: 7.3016 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6315 loss: 1.6315 2022/06/28 17:54:13 - mmengine - INFO - Epoch(train) [65][2220/3757] lr: 1.000e-03 eta: 9:48:49 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 7.6310 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5224 loss: 1.5224 2022/06/28 17:54:18 - mmengine - INFO - Epoch(train) [65][2240/3757] lr: 1.000e-03 eta: 9:48:44 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.0952 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4010 loss: 1.4010 2022/06/28 17:54:24 - mmengine - INFO - Epoch(train) [65][2260/3757] lr: 1.000e-03 eta: 9:48:39 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3093 loss: 1.3093 2022/06/28 17:54:30 - mmengine - INFO - Epoch(train) [65][2280/3757] lr: 1.000e-03 eta: 9:48:34 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.7182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2036 loss: 1.2036 2022/06/28 17:54:35 - mmengine - INFO - Epoch(train) [65][2300/3757] lr: 1.000e-03 eta: 9:48:28 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.0666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4344 loss: 1.4344 2022/06/28 17:54:40 - mmengine - INFO - Epoch(train) [65][2320/3757] lr: 1.000e-03 eta: 9:48:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1039 loss: 1.1039 2022/06/28 17:54:45 - mmengine - INFO - Epoch(train) [65][2340/3757] lr: 1.000e-03 eta: 9:48:18 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.6484 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0581 loss: 1.0581 2022/06/28 17:54:51 - mmengine - INFO - Epoch(train) [65][2360/3757] lr: 1.000e-03 eta: 9:48:13 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.3584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4401 loss: 1.4401 2022/06/28 17:54:57 - mmengine - INFO - Epoch(train) [65][2380/3757] lr: 1.000e-03 eta: 9:48:08 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.8999 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1326 loss: 1.1326 2022/06/28 17:55:02 - mmengine - INFO - Epoch(train) [65][2400/3757] lr: 1.000e-03 eta: 9:48:02 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1402 loss: 1.1402 2022/06/28 17:55:08 - mmengine - INFO - Epoch(train) [65][2420/3757] lr: 1.000e-03 eta: 9:47:57 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.8272 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5280 loss: 1.5280 2022/06/28 17:55:14 - mmengine - INFO - Epoch(train) [65][2440/3757] lr: 1.000e-03 eta: 9:47:52 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.6662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3336 loss: 1.3336 2022/06/28 17:55:18 - mmengine - INFO - Epoch(train) [65][2460/3757] lr: 1.000e-03 eta: 9:47:46 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.0028 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4964 loss: 1.4964 2022/06/28 17:55:24 - mmengine - INFO - Epoch(train) [65][2480/3757] lr: 1.000e-03 eta: 9:47:41 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 7.6113 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7015 loss: 1.7015 2022/06/28 17:55:29 - mmengine - INFO - Epoch(train) [65][2500/3757] lr: 1.000e-03 eta: 9:47:36 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.9994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3527 loss: 1.3527 2022/06/28 17:55:34 - mmengine - INFO - Epoch(train) [65][2520/3757] lr: 1.000e-03 eta: 9:47:30 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2305 loss: 1.2305 2022/06/28 17:55:40 - mmengine - INFO - Epoch(train) [65][2540/3757] lr: 1.000e-03 eta: 9:47:25 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 7.2887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2159 loss: 1.2159 2022/06/28 17:55:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 17:55:45 - mmengine - INFO - Epoch(train) [65][2560/3757] lr: 1.000e-03 eta: 9:47:20 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.4346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/06/28 17:55:50 - mmengine - INFO - Epoch(train) [65][2580/3757] lr: 1.000e-03 eta: 9:47:14 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.3345 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2648 loss: 1.2648 2022/06/28 17:55:56 - mmengine - INFO - Epoch(train) [65][2600/3757] lr: 1.000e-03 eta: 9:47:09 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.2178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3102 loss: 1.3102 2022/06/28 17:56:01 - mmengine - INFO - Epoch(train) [65][2620/3757] lr: 1.000e-03 eta: 9:47:04 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 8.7385 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7353 loss: 1.7353 2022/06/28 17:56:06 - mmengine - INFO - Epoch(train) [65][2640/3757] lr: 1.000e-03 eta: 9:46:59 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.5918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4527 loss: 1.4527 2022/06/28 17:56:11 - mmengine - INFO - Epoch(train) [65][2660/3757] lr: 1.000e-03 eta: 9:46:53 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.1881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5462 loss: 1.5462 2022/06/28 17:56:17 - mmengine - INFO - Epoch(train) [65][2680/3757] lr: 1.000e-03 eta: 9:46:48 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.1786 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4972 loss: 1.4972 2022/06/28 17:56:22 - mmengine - INFO - Epoch(train) [65][2700/3757] lr: 1.000e-03 eta: 9:46:43 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.9440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2191 loss: 1.2191 2022/06/28 17:56:27 - mmengine - INFO - Epoch(train) [65][2720/3757] lr: 1.000e-03 eta: 9:46:37 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.1317 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2842 loss: 1.2842 2022/06/28 17:56:33 - mmengine - INFO - Epoch(train) [65][2740/3757] lr: 1.000e-03 eta: 9:46:32 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.5868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0379 loss: 1.0379 2022/06/28 17:56:38 - mmengine - INFO - Epoch(train) [65][2760/3757] lr: 1.000e-03 eta: 9:46:26 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 7.6742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1235 loss: 1.1235 2022/06/28 17:56:43 - mmengine - INFO - Epoch(train) [65][2780/3757] lr: 1.000e-03 eta: 9:46:21 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.9595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/06/28 17:56:48 - mmengine - INFO - Epoch(train) [65][2800/3757] lr: 1.000e-03 eta: 9:46:16 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 9.4470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4343 loss: 1.4343 2022/06/28 17:56:55 - mmengine - INFO - Epoch(train) [65][2820/3757] lr: 1.000e-03 eta: 9:46:11 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.2421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2885 loss: 1.2885 2022/06/28 17:57:00 - mmengine - INFO - Epoch(train) [65][2840/3757] lr: 1.000e-03 eta: 9:46:05 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 8.4500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1723 loss: 1.1723 2022/06/28 17:57:05 - mmengine - INFO - Epoch(train) [65][2860/3757] lr: 1.000e-03 eta: 9:46:00 time: 0.216 data_time: 0.013 memory: 5150 grad_norm: 8.5648 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5882 loss: 1.5882 2022/06/28 17:57:10 - mmengine - INFO - Epoch(train) [65][2880/3757] lr: 1.000e-03 eta: 9:45:55 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.8229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5440 loss: 1.5440 2022/06/28 17:57:15 - mmengine - INFO - Epoch(train) [65][2900/3757] lr: 1.000e-03 eta: 9:45:49 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 7.1406 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4238 loss: 1.4238 2022/06/28 17:57:22 - mmengine - INFO - Epoch(train) [65][2920/3757] lr: 1.000e-03 eta: 9:45:45 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.7386 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7631 loss: 1.7631 2022/06/28 17:57:27 - mmengine - INFO - Epoch(train) [65][2940/3757] lr: 1.000e-03 eta: 9:45:39 time: 0.200 data_time: 0.024 memory: 5150 grad_norm: 7.1700 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3804 loss: 1.3804 2022/06/28 17:57:33 - mmengine - INFO - Epoch(train) [65][2960/3757] lr: 1.000e-03 eta: 9:45:34 time: 0.868 data_time: 0.011 memory: 5150 grad_norm: 7.1207 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9445 loss: 0.9445 2022/06/28 17:57:38 - mmengine - INFO - Epoch(train) [65][2980/3757] lr: 1.000e-03 eta: 9:45:29 time: 0.228 data_time: 0.012 memory: 5150 grad_norm: 7.1291 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4273 loss: 1.4273 2022/06/28 17:57:43 - mmengine - INFO - Epoch(train) [65][3000/3757] lr: 1.000e-03 eta: 9:45:24 time: 0.220 data_time: 0.024 memory: 5150 grad_norm: 8.2674 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/06/28 17:57:51 - mmengine - INFO - Epoch(train) [65][3020/3757] lr: 1.000e-03 eta: 9:45:20 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.0687 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3140 loss: 1.3140 2022/06/28 17:57:55 - mmengine - INFO - Epoch(train) [65][3040/3757] lr: 1.000e-03 eta: 9:45:14 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 8.1459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/06/28 17:58:00 - mmengine - INFO - Epoch(train) [65][3060/3757] lr: 1.000e-03 eta: 9:45:08 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.8337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1517 loss: 1.1517 2022/06/28 17:58:05 - mmengine - INFO - Epoch(train) [65][3080/3757] lr: 1.000e-03 eta: 9:45:03 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 7.7269 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5794 loss: 1.5794 2022/06/28 17:58:11 - mmengine - INFO - Epoch(train) [65][3100/3757] lr: 1.000e-03 eta: 9:44:57 time: 0.304 data_time: 0.028 memory: 5150 grad_norm: 7.5948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4063 loss: 1.4063 2022/06/28 17:58:16 - mmengine - INFO - Epoch(train) [65][3120/3757] lr: 1.000e-03 eta: 9:44:52 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 6.7758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5921 loss: 1.5921 2022/06/28 17:58:21 - mmengine - INFO - Epoch(train) [65][3140/3757] lr: 1.000e-03 eta: 9:44:47 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.7892 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/06/28 17:58:26 - mmengine - INFO - Epoch(train) [65][3160/3757] lr: 1.000e-03 eta: 9:44:41 time: 0.233 data_time: 0.031 memory: 5150 grad_norm: 7.6663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7994 loss: 1.7994 2022/06/28 17:58:32 - mmengine - INFO - Epoch(train) [65][3180/3757] lr: 1.000e-03 eta: 9:44:36 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.4193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0880 loss: 1.0880 2022/06/28 17:58:37 - mmengine - INFO - Epoch(train) [65][3200/3757] lr: 1.000e-03 eta: 9:44:31 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.1594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/06/28 17:58:42 - mmengine - INFO - Epoch(train) [65][3220/3757] lr: 1.000e-03 eta: 9:44:25 time: 0.216 data_time: 0.032 memory: 5150 grad_norm: 7.6811 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2286 loss: 1.2286 2022/06/28 17:58:48 - mmengine - INFO - Epoch(train) [65][3240/3757] lr: 1.000e-03 eta: 9:44:20 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.1567 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3374 loss: 1.3374 2022/06/28 17:58:53 - mmengine - INFO - Epoch(train) [65][3260/3757] lr: 1.000e-03 eta: 9:44:15 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.2386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4898 loss: 1.4898 2022/06/28 17:58:58 - mmengine - INFO - Epoch(train) [65][3280/3757] lr: 1.000e-03 eta: 9:44:09 time: 0.808 data_time: 0.019 memory: 5150 grad_norm: 8.1192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4815 loss: 1.4815 2022/06/28 17:59:03 - mmengine - INFO - Epoch(train) [65][3300/3757] lr: 1.000e-03 eta: 9:44:04 time: 0.261 data_time: 0.010 memory: 5150 grad_norm: 7.6847 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0885 loss: 1.0885 2022/06/28 17:59:09 - mmengine - INFO - Epoch(train) [65][3320/3757] lr: 1.000e-03 eta: 9:43:59 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 7.1227 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2236 loss: 1.2236 2022/06/28 17:59:14 - mmengine - INFO - Epoch(train) [65][3340/3757] lr: 1.000e-03 eta: 9:43:54 time: 0.855 data_time: 0.011 memory: 5150 grad_norm: 7.9393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3204 loss: 1.3204 2022/06/28 17:59:20 - mmengine - INFO - Epoch(train) [65][3360/3757] lr: 1.000e-03 eta: 9:43:48 time: 0.736 data_time: 0.007 memory: 5150 grad_norm: 7.1224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3883 loss: 1.3883 2022/06/28 17:59:24 - mmengine - INFO - Epoch(train) [65][3380/3757] lr: 1.000e-03 eta: 9:43:43 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.7126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6637 loss: 1.6637 2022/06/28 17:59:30 - mmengine - INFO - Epoch(train) [65][3400/3757] lr: 1.000e-03 eta: 9:43:37 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 7.5587 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3793 loss: 1.3793 2022/06/28 17:59:36 - mmengine - INFO - Epoch(train) [65][3420/3757] lr: 1.000e-03 eta: 9:43:32 time: 1.341 data_time: 0.013 memory: 5150 grad_norm: 6.1801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/06/28 17:59:40 - mmengine - INFO - Epoch(train) [65][3440/3757] lr: 1.000e-03 eta: 9:43:27 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 7.5721 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2507 loss: 1.2507 2022/06/28 17:59:46 - mmengine - INFO - Epoch(train) [65][3460/3757] lr: 1.000e-03 eta: 9:43:21 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.3760 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7120 loss: 1.7120 2022/06/28 17:59:52 - mmengine - INFO - Epoch(train) [65][3480/3757] lr: 1.000e-03 eta: 9:43:16 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.7968 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1602 loss: 1.1602 2022/06/28 17:59:56 - mmengine - INFO - Epoch(train) [65][3500/3757] lr: 1.000e-03 eta: 9:43:11 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 8.6485 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5278 loss: 1.5278 2022/06/28 18:00:02 - mmengine - INFO - Epoch(train) [65][3520/3757] lr: 1.000e-03 eta: 9:43:05 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.4026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.9408 loss: 1.9408 2022/06/28 18:00:08 - mmengine - INFO - Epoch(train) [65][3540/3757] lr: 1.000e-03 eta: 9:43:01 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.6943 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/06/28 18:00:12 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:00:14 - mmengine - INFO - Epoch(train) [65][3560/3757] lr: 1.000e-03 eta: 9:42:56 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.6368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4601 loss: 1.4601 2022/06/28 18:00:20 - mmengine - INFO - Epoch(train) [65][3580/3757] lr: 1.000e-03 eta: 9:42:50 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 8.6600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/06/28 18:00:26 - mmengine - INFO - Epoch(train) [65][3600/3757] lr: 1.000e-03 eta: 9:42:46 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 6.1365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7549 loss: 1.7549 2022/06/28 18:00:31 - mmengine - INFO - Epoch(train) [65][3620/3757] lr: 1.000e-03 eta: 9:42:40 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.8291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/06/28 18:00:36 - mmengine - INFO - Epoch(train) [65][3640/3757] lr: 1.000e-03 eta: 9:42:35 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.3871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/06/28 18:00:41 - mmengine - INFO - Epoch(train) [65][3660/3757] lr: 1.000e-03 eta: 9:42:29 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 7.9670 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/06/28 18:00:47 - mmengine - INFO - Epoch(train) [65][3680/3757] lr: 1.000e-03 eta: 9:42:24 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 8.2440 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/06/28 18:00:52 - mmengine - INFO - Epoch(train) [65][3700/3757] lr: 1.000e-03 eta: 9:42:19 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 8.7422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4774 loss: 1.4774 2022/06/28 18:00:57 - mmengine - INFO - Epoch(train) [65][3720/3757] lr: 1.000e-03 eta: 9:42:13 time: 0.199 data_time: 0.024 memory: 5150 grad_norm: 8.3915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4275 loss: 1.4275 2022/06/28 18:01:02 - mmengine - INFO - Epoch(train) [65][3740/3757] lr: 1.000e-03 eta: 9:42:08 time: 0.271 data_time: 0.007 memory: 5150 grad_norm: 7.6441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5176 loss: 1.5176 2022/06/28 18:01:05 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:01:05 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/06/28 18:01:41 - mmengine - INFO - Epoch(val) [65][20/310] eta: 0:05:33 time: 0.989 data_time: 0.341 memory: 9746 2022/06/28 18:02:03 - mmengine - INFO - Epoch(val) [65][40/310] eta: 0:04:50 time: 1.009 data_time: 0.363 memory: 9746 2022/06/28 18:02:27 - mmengine - INFO - Epoch(val) [65][60/310] eta: 0:04:26 time: 1.019 data_time: 0.372 memory: 9746 2022/06/28 18:02:50 - mmengine - INFO - Epoch(val) [65][80/310] eta: 0:04:45 time: 1.110 data_time: 0.470 memory: 9746 2022/06/28 18:03:13 - mmengine - INFO - Epoch(val) [65][100/310] eta: 0:04:09 time: 2.478 data_time: 1.819 memory: 9746 2022/06/28 18:03:35 - mmengine - INFO - Epoch(val) [65][120/310] eta: 0:03:25 time: 1.049 data_time: 0.389 memory: 9746 2022/06/28 18:03:59 - mmengine - INFO - Epoch(val) [65][140/310] eta: 0:03:21 time: 1.070 data_time: 0.419 memory: 9746 2022/06/28 18:04:23 - mmengine - INFO - Epoch(val) [65][160/310] eta: 0:03:11 time: 2.918 data_time: 2.236 memory: 9746 2022/06/28 18:04:46 - mmengine - INFO - Epoch(val) [65][180/310] eta: 0:02:48 time: 1.108 data_time: 0.459 memory: 9746 2022/06/28 18:05:09 - mmengine - INFO - Epoch(val) [65][200/310] eta: 0:02:12 time: 1.539 data_time: 0.467 memory: 9746 2022/06/28 18:05:31 - mmengine - INFO - Epoch(val) [65][220/310] eta: 0:01:38 time: 1.206 data_time: 0.572 memory: 9746 2022/06/28 18:05:52 - mmengine - INFO - Epoch(val) [65][240/310] eta: 0:01:14 time: 1.059 data_time: 0.412 memory: 9746 2022/06/28 18:06:15 - mmengine - INFO - Epoch(val) [65][260/310] eta: 0:00:57 time: 1.032 data_time: 0.399 memory: 9746 2022/06/28 18:06:38 - mmengine - INFO - Epoch(val) [65][280/310] eta: 0:00:31 time: 1.103 data_time: 0.466 memory: 9746 2022/06/28 18:06:57 - mmengine - INFO - Epoch(val) [65][300/310] eta: 0:00:07 time: 0.633 data_time: 0.065 memory: 9746 2022/06/28 18:07:08 - mmengine - INFO - Epoch(val) [65][310/310] acc/top1: 0.7077 acc/top5: 0.8986 acc/mean1: 0.7077 2022/06/28 18:07:17 - mmengine - INFO - Epoch(train) [66][20/3757] lr: 1.000e-03 eta: 9:41:59 time: 0.202 data_time: 0.007 memory: 9746 grad_norm: 7.4766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4676 loss: 1.4676 2022/06/28 18:07:22 - mmengine - INFO - Epoch(train) [66][40/3757] lr: 1.000e-03 eta: 9:41:53 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.8816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2634 loss: 1.2634 2022/06/28 18:07:28 - mmengine - INFO - Epoch(train) [66][60/3757] lr: 1.000e-03 eta: 9:41:48 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.9410 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6731 loss: 1.6731 2022/06/28 18:07:33 - mmengine - INFO - Epoch(train) [66][80/3757] lr: 1.000e-03 eta: 9:41:43 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.5608 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9268 loss: 0.9268 2022/06/28 18:07:39 - mmengine - INFO - Epoch(train) [66][100/3757] lr: 1.000e-03 eta: 9:41:37 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 6.8736 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0489 loss: 1.0489 2022/06/28 18:07:43 - mmengine - INFO - Epoch(train) [66][120/3757] lr: 1.000e-03 eta: 9:41:32 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.0616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5730 loss: 1.5730 2022/06/28 18:07:49 - mmengine - INFO - Epoch(train) [66][140/3757] lr: 1.000e-03 eta: 9:41:27 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.3127 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4187 loss: 1.4187 2022/06/28 18:07:54 - mmengine - INFO - Epoch(train) [66][160/3757] lr: 1.000e-03 eta: 9:41:21 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.9293 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2952 loss: 1.2952 2022/06/28 18:07:59 - mmengine - INFO - Epoch(train) [66][180/3757] lr: 1.000e-03 eta: 9:41:16 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.7121 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4377 loss: 1.4377 2022/06/28 18:08:05 - mmengine - INFO - Epoch(train) [66][200/3757] lr: 1.000e-03 eta: 9:41:11 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4723 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6707 loss: 1.6707 2022/06/28 18:08:10 - mmengine - INFO - Epoch(train) [66][220/3757] lr: 1.000e-03 eta: 9:41:05 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.3430 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/06/28 18:08:15 - mmengine - INFO - Epoch(train) [66][240/3757] lr: 1.000e-03 eta: 9:41:00 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.0429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9504 loss: 0.9504 2022/06/28 18:08:21 - mmengine - INFO - Epoch(train) [66][260/3757] lr: 1.000e-03 eta: 9:40:55 time: 0.199 data_time: 0.021 memory: 5150 grad_norm: 7.0921 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3854 loss: 1.3854 2022/06/28 18:08:25 - mmengine - INFO - Epoch(train) [66][280/3757] lr: 1.000e-03 eta: 9:40:49 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 6.4558 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4284 loss: 1.4284 2022/06/28 18:08:31 - mmengine - INFO - Epoch(train) [66][300/3757] lr: 1.000e-03 eta: 9:40:44 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.2820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3215 loss: 1.3215 2022/06/28 18:08:37 - mmengine - INFO - Epoch(train) [66][320/3757] lr: 1.000e-03 eta: 9:40:39 time: 0.215 data_time: 0.022 memory: 5150 grad_norm: 8.1343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/06/28 18:08:42 - mmengine - INFO - Epoch(train) [66][340/3757] lr: 1.000e-03 eta: 9:40:33 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 8.5021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2521 loss: 1.2521 2022/06/28 18:08:48 - mmengine - INFO - Epoch(train) [66][360/3757] lr: 1.000e-03 eta: 9:40:28 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 8.3131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/06/28 18:08:52 - mmengine - INFO - Epoch(train) [66][380/3757] lr: 1.000e-03 eta: 9:40:23 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 7.8324 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3152 loss: 1.3152 2022/06/28 18:08:57 - mmengine - INFO - Epoch(train) [66][400/3757] lr: 1.000e-03 eta: 9:40:17 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 7.5347 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3296 loss: 1.3296 2022/06/28 18:09:03 - mmengine - INFO - Epoch(train) [66][420/3757] lr: 1.000e-03 eta: 9:40:12 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.5724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2495 loss: 1.2495 2022/06/28 18:09:08 - mmengine - INFO - Epoch(train) [66][440/3757] lr: 1.000e-03 eta: 9:40:07 time: 0.212 data_time: 0.036 memory: 5150 grad_norm: 7.1053 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7276 loss: 1.7276 2022/06/28 18:09:13 - mmengine - INFO - Epoch(train) [66][460/3757] lr: 1.000e-03 eta: 9:40:01 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 7.3921 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0181 loss: 1.0181 2022/06/28 18:09:19 - mmengine - INFO - Epoch(train) [66][480/3757] lr: 1.000e-03 eta: 9:39:56 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.7984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1804 loss: 1.1804 2022/06/28 18:09:24 - mmengine - INFO - Epoch(train) [66][500/3757] lr: 1.000e-03 eta: 9:39:51 time: 0.208 data_time: 0.036 memory: 5150 grad_norm: 6.9442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/06/28 18:09:28 - mmengine - INFO - Epoch(train) [66][520/3757] lr: 1.000e-03 eta: 9:39:45 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 7.1222 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/06/28 18:09:35 - mmengine - INFO - Epoch(train) [66][540/3757] lr: 1.000e-03 eta: 9:39:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.4975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3682 loss: 1.3682 2022/06/28 18:09:40 - mmengine - INFO - Epoch(train) [66][560/3757] lr: 1.000e-03 eta: 9:39:35 time: 0.204 data_time: 0.028 memory: 5150 grad_norm: 8.9590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0804 loss: 1.0804 2022/06/28 18:09:47 - mmengine - INFO - Epoch(train) [66][580/3757] lr: 1.000e-03 eta: 9:39:30 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 6.6922 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2908 loss: 1.2908 2022/06/28 18:09:52 - mmengine - INFO - Epoch(train) [66][600/3757] lr: 1.000e-03 eta: 9:39:25 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.1204 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6302 loss: 1.6302 2022/06/28 18:09:57 - mmengine - INFO - Epoch(train) [66][620/3757] lr: 1.000e-03 eta: 9:39:19 time: 0.218 data_time: 0.038 memory: 5150 grad_norm: 7.1362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2183 loss: 1.2183 2022/06/28 18:10:01 - mmengine - INFO - Epoch(train) [66][640/3757] lr: 1.000e-03 eta: 9:39:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.9094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5861 loss: 1.5861 2022/06/28 18:10:07 - mmengine - INFO - Epoch(train) [66][660/3757] lr: 1.000e-03 eta: 9:39:08 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.4169 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7143 loss: 1.7143 2022/06/28 18:10:13 - mmengine - INFO - Epoch(train) [66][680/3757] lr: 1.000e-03 eta: 9:39:03 time: 0.260 data_time: 0.080 memory: 5150 grad_norm: 6.7334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2914 loss: 1.2914 2022/06/28 18:10:18 - mmengine - INFO - Epoch(train) [66][700/3757] lr: 1.000e-03 eta: 9:38:58 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 7.2772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5970 loss: 1.5970 2022/06/28 18:10:24 - mmengine - INFO - Epoch(train) [66][720/3757] lr: 1.000e-03 eta: 9:38:53 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.6958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2209 loss: 1.2209 2022/06/28 18:10:29 - mmengine - INFO - Epoch(train) [66][740/3757] lr: 1.000e-03 eta: 9:38:48 time: 0.827 data_time: 0.043 memory: 5150 grad_norm: 7.1782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/06/28 18:10:34 - mmengine - INFO - Epoch(train) [66][760/3757] lr: 1.000e-03 eta: 9:38:42 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.7603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2028 loss: 1.2028 2022/06/28 18:10:40 - mmengine - INFO - Epoch(train) [66][780/3757] lr: 1.000e-03 eta: 9:38:37 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6623 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2221 loss: 1.2221 2022/06/28 18:10:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:10:45 - mmengine - INFO - Epoch(train) [66][800/3757] lr: 1.000e-03 eta: 9:38:32 time: 0.830 data_time: 0.050 memory: 5150 grad_norm: 7.1737 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5085 loss: 1.5085 2022/06/28 18:10:50 - mmengine - INFO - Epoch(train) [66][820/3757] lr: 1.000e-03 eta: 9:38:26 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.6113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5021 loss: 1.5021 2022/06/28 18:10:55 - mmengine - INFO - Epoch(train) [66][840/3757] lr: 1.000e-03 eta: 9:38:21 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.1856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4091 loss: 1.4091 2022/06/28 18:11:00 - mmengine - INFO - Epoch(train) [66][860/3757] lr: 1.000e-03 eta: 9:38:15 time: 0.736 data_time: 0.563 memory: 5150 grad_norm: 6.5810 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4861 loss: 1.4861 2022/06/28 18:11:04 - mmengine - INFO - Epoch(train) [66][880/3757] lr: 1.000e-03 eta: 9:38:09 time: 0.218 data_time: 0.035 memory: 5150 grad_norm: 6.7020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4108 loss: 1.4108 2022/06/28 18:11:10 - mmengine - INFO - Epoch(train) [66][900/3757] lr: 1.000e-03 eta: 9:38:04 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.9099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1459 loss: 1.1459 2022/06/28 18:11:15 - mmengine - INFO - Epoch(train) [66][920/3757] lr: 1.000e-03 eta: 9:37:59 time: 0.333 data_time: 0.161 memory: 5150 grad_norm: 7.1737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4203 loss: 1.4203 2022/06/28 18:11:20 - mmengine - INFO - Epoch(train) [66][940/3757] lr: 1.000e-03 eta: 9:37:53 time: 0.215 data_time: 0.036 memory: 5150 grad_norm: 8.1569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4248 loss: 1.4248 2022/06/28 18:11:26 - mmengine - INFO - Epoch(train) [66][960/3757] lr: 1.000e-03 eta: 9:37:48 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.0960 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4439 loss: 1.4439 2022/06/28 18:11:32 - mmengine - INFO - Epoch(train) [66][980/3757] lr: 1.000e-03 eta: 9:37:43 time: 0.211 data_time: 0.034 memory: 5150 grad_norm: 8.1796 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1736 loss: 1.1736 2022/06/28 18:11:37 - mmengine - INFO - Epoch(train) [66][1000/3757] lr: 1.000e-03 eta: 9:37:38 time: 0.211 data_time: 0.024 memory: 5150 grad_norm: 9.3197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9916 loss: 0.9916 2022/06/28 18:11:42 - mmengine - INFO - Epoch(train) [66][1020/3757] lr: 1.000e-03 eta: 9:37:32 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.7556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5979 loss: 1.5979 2022/06/28 18:11:47 - mmengine - INFO - Epoch(train) [66][1040/3757] lr: 1.000e-03 eta: 9:37:27 time: 0.200 data_time: 0.022 memory: 5150 grad_norm: 8.5610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7953 loss: 1.7953 2022/06/28 18:11:52 - mmengine - INFO - Epoch(train) [66][1060/3757] lr: 1.000e-03 eta: 9:37:21 time: 0.283 data_time: 0.020 memory: 5150 grad_norm: 8.7785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5229 loss: 1.5229 2022/06/28 18:11:58 - mmengine - INFO - Epoch(train) [66][1080/3757] lr: 1.000e-03 eta: 9:37:16 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.3017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0908 loss: 1.0908 2022/06/28 18:12:04 - mmengine - INFO - Epoch(train) [66][1100/3757] lr: 1.000e-03 eta: 9:37:11 time: 0.207 data_time: 0.019 memory: 5150 grad_norm: 8.1169 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5857 loss: 1.5857 2022/06/28 18:12:08 - mmengine - INFO - Epoch(train) [66][1120/3757] lr: 1.000e-03 eta: 9:37:06 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 7.2779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2398 loss: 1.2398 2022/06/28 18:12:14 - mmengine - INFO - Epoch(train) [66][1140/3757] lr: 1.000e-03 eta: 9:37:00 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 7.4926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3980 loss: 1.3980 2022/06/28 18:12:19 - mmengine - INFO - Epoch(train) [66][1160/3757] lr: 1.000e-03 eta: 9:36:55 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 6.9586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1834 loss: 1.1834 2022/06/28 18:12:25 - mmengine - INFO - Epoch(train) [66][1180/3757] lr: 1.000e-03 eta: 9:36:50 time: 1.193 data_time: 0.007 memory: 5150 grad_norm: 7.0015 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4188 loss: 1.4188 2022/06/28 18:12:30 - mmengine - INFO - Epoch(train) [66][1200/3757] lr: 1.000e-03 eta: 9:36:44 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.7856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5382 loss: 1.5382 2022/06/28 18:12:35 - mmengine - INFO - Epoch(train) [66][1220/3757] lr: 1.000e-03 eta: 9:36:39 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 8.8545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2827 loss: 1.2827 2022/06/28 18:12:41 - mmengine - INFO - Epoch(train) [66][1240/3757] lr: 1.000e-03 eta: 9:36:34 time: 0.509 data_time: 0.010 memory: 5150 grad_norm: 7.7417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/06/28 18:12:45 - mmengine - INFO - Epoch(train) [66][1260/3757] lr: 1.000e-03 eta: 9:36:28 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.1137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3136 loss: 1.3136 2022/06/28 18:12:51 - mmengine - INFO - Epoch(train) [66][1280/3757] lr: 1.000e-03 eta: 9:36:23 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.1261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8760 loss: 0.8760 2022/06/28 18:12:57 - mmengine - INFO - Epoch(train) [66][1300/3757] lr: 1.000e-03 eta: 9:36:18 time: 1.126 data_time: 0.007 memory: 5150 grad_norm: 8.4670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7686 loss: 1.7686 2022/06/28 18:13:02 - mmengine - INFO - Epoch(train) [66][1320/3757] lr: 1.000e-03 eta: 9:36:13 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 6.0726 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/06/28 18:13:08 - mmengine - INFO - Epoch(train) [66][1340/3757] lr: 1.000e-03 eta: 9:36:07 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 7.6262 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9807 loss: 0.9807 2022/06/28 18:13:13 - mmengine - INFO - Epoch(train) [66][1360/3757] lr: 1.000e-03 eta: 9:36:02 time: 0.999 data_time: 0.008 memory: 5150 grad_norm: 8.3742 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/06/28 18:13:18 - mmengine - INFO - Epoch(train) [66][1380/3757] lr: 1.000e-03 eta: 9:35:57 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 9.0406 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1781 loss: 1.1781 2022/06/28 18:13:24 - mmengine - INFO - Epoch(train) [66][1400/3757] lr: 1.000e-03 eta: 9:35:52 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 11.1033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2334 loss: 1.2334 2022/06/28 18:13:29 - mmengine - INFO - Epoch(train) [66][1420/3757] lr: 1.000e-03 eta: 9:35:46 time: 0.611 data_time: 0.007 memory: 5150 grad_norm: 6.8991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6780 loss: 1.6780 2022/06/28 18:13:34 - mmengine - INFO - Epoch(train) [66][1440/3757] lr: 1.000e-03 eta: 9:35:41 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.7909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4836 loss: 1.4836 2022/06/28 18:13:39 - mmengine - INFO - Epoch(train) [66][1460/3757] lr: 1.000e-03 eta: 9:35:35 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.0706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/06/28 18:13:45 - mmengine - INFO - Epoch(train) [66][1480/3757] lr: 1.000e-03 eta: 9:35:30 time: 0.877 data_time: 0.008 memory: 5150 grad_norm: 7.7681 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2781 loss: 1.2781 2022/06/28 18:13:50 - mmengine - INFO - Epoch(train) [66][1500/3757] lr: 1.000e-03 eta: 9:35:25 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/28 18:13:55 - mmengine - INFO - Epoch(train) [66][1520/3757] lr: 1.000e-03 eta: 9:35:20 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.3649 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3130 loss: 1.3130 2022/06/28 18:14:01 - mmengine - INFO - Epoch(train) [66][1540/3757] lr: 1.000e-03 eta: 9:35:14 time: 0.495 data_time: 0.012 memory: 5150 grad_norm: 7.9746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1667 loss: 1.1667 2022/06/28 18:14:08 - mmengine - INFO - Epoch(train) [66][1560/3757] lr: 1.000e-03 eta: 9:35:10 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.4345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/06/28 18:14:12 - mmengine - INFO - Epoch(train) [66][1580/3757] lr: 1.000e-03 eta: 9:35:04 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 5.9692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3815 loss: 1.3815 2022/06/28 18:14:18 - mmengine - INFO - Epoch(train) [66][1600/3757] lr: 1.000e-03 eta: 9:34:59 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.1065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9010 loss: 0.9010 2022/06/28 18:14:23 - mmengine - INFO - Epoch(train) [66][1620/3757] lr: 1.000e-03 eta: 9:34:53 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 8.4371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/06/28 18:14:28 - mmengine - INFO - Epoch(train) [66][1640/3757] lr: 1.000e-03 eta: 9:34:48 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 7.9389 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3449 loss: 1.3449 2022/06/28 18:14:33 - mmengine - INFO - Epoch(train) [66][1660/3757] lr: 1.000e-03 eta: 9:34:43 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.8985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/06/28 18:14:39 - mmengine - INFO - Epoch(train) [66][1680/3757] lr: 1.000e-03 eta: 9:34:38 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.3704 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/06/28 18:14:45 - mmengine - INFO - Epoch(train) [66][1700/3757] lr: 1.000e-03 eta: 9:34:33 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.9445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3520 loss: 1.3520 2022/06/28 18:14:50 - mmengine - INFO - Epoch(train) [66][1720/3757] lr: 1.000e-03 eta: 9:34:27 time: 0.316 data_time: 0.010 memory: 5150 grad_norm: 8.3213 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1657 loss: 1.1657 2022/06/28 18:14:57 - mmengine - INFO - Epoch(train) [66][1740/3757] lr: 1.000e-03 eta: 9:34:23 time: 1.757 data_time: 0.008 memory: 5150 grad_norm: 8.6252 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4897 loss: 1.4897 2022/06/28 18:15:08 - mmengine - INFO - Epoch(train) [66][1760/3757] lr: 1.000e-03 eta: 9:34:20 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.7322 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8083 loss: 1.8083 2022/06/28 18:15:13 - mmengine - INFO - Epoch(train) [66][1780/3757] lr: 1.000e-03 eta: 9:34:15 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 7.3848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2427 loss: 1.2427 2022/06/28 18:15:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:15:18 - mmengine - INFO - Epoch(train) [66][1800/3757] lr: 1.000e-03 eta: 9:34:09 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.7233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0704 loss: 1.0704 2022/06/28 18:15:22 - mmengine - INFO - Epoch(train) [66][1820/3757] lr: 1.000e-03 eta: 9:34:04 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.6918 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2018 loss: 1.2018 2022/06/28 18:15:27 - mmengine - INFO - Epoch(train) [66][1840/3757] lr: 1.000e-03 eta: 9:33:58 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.2035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2871 loss: 1.2871 2022/06/28 18:15:32 - mmengine - INFO - Epoch(train) [66][1860/3757] lr: 1.000e-03 eta: 9:33:53 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.4431 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7422 loss: 1.7422 2022/06/28 18:15:38 - mmengine - INFO - Epoch(train) [66][1880/3757] lr: 1.000e-03 eta: 9:33:47 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 10.1325 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6101 loss: 1.6101 2022/06/28 18:15:43 - mmengine - INFO - Epoch(train) [66][1900/3757] lr: 1.000e-03 eta: 9:33:42 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.9178 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2462 loss: 1.2462 2022/06/28 18:15:48 - mmengine - INFO - Epoch(train) [66][1920/3757] lr: 1.000e-03 eta: 9:33:37 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.4758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/06/28 18:15:54 - mmengine - INFO - Epoch(train) [66][1940/3757] lr: 1.000e-03 eta: 9:33:32 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 7.5350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/06/28 18:15:59 - mmengine - INFO - Epoch(train) [66][1960/3757] lr: 1.000e-03 eta: 9:33:26 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.4608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4572 loss: 1.4572 2022/06/28 18:16:05 - mmengine - INFO - Epoch(train) [66][1980/3757] lr: 1.000e-03 eta: 9:33:21 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.3987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/06/28 18:16:11 - mmengine - INFO - Epoch(train) [66][2000/3757] lr: 1.000e-03 eta: 9:33:16 time: 0.570 data_time: 0.013 memory: 5150 grad_norm: 7.5782 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/06/28 18:16:16 - mmengine - INFO - Epoch(train) [66][2020/3757] lr: 1.000e-03 eta: 9:33:11 time: 0.203 data_time: 0.025 memory: 5150 grad_norm: 8.5650 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/06/28 18:16:21 - mmengine - INFO - Epoch(train) [66][2040/3757] lr: 1.000e-03 eta: 9:33:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.3981 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2738 loss: 1.2738 2022/06/28 18:16:27 - mmengine - INFO - Epoch(train) [66][2060/3757] lr: 1.000e-03 eta: 9:33:00 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 7.4976 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7858 loss: 0.7858 2022/06/28 18:16:32 - mmengine - INFO - Epoch(train) [66][2080/3757] lr: 1.000e-03 eta: 9:32:55 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.7413 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/06/28 18:16:37 - mmengine - INFO - Epoch(train) [66][2100/3757] lr: 1.000e-03 eta: 9:32:49 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.9489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3334 loss: 1.3334 2022/06/28 18:16:43 - mmengine - INFO - Epoch(train) [66][2120/3757] lr: 1.000e-03 eta: 9:32:44 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.7167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/06/28 18:16:48 - mmengine - INFO - Epoch(train) [66][2140/3757] lr: 1.000e-03 eta: 9:32:39 time: 0.472 data_time: 0.012 memory: 5150 grad_norm: 6.4652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/06/28 18:16:54 - mmengine - INFO - Epoch(train) [66][2160/3757] lr: 1.000e-03 eta: 9:32:34 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.5191 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0360 loss: 1.0360 2022/06/28 18:17:00 - mmengine - INFO - Epoch(train) [66][2180/3757] lr: 1.000e-03 eta: 9:32:29 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 8.2590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0843 loss: 1.0843 2022/06/28 18:17:05 - mmengine - INFO - Epoch(train) [66][2200/3757] lr: 1.000e-03 eta: 9:32:23 time: 0.532 data_time: 0.013 memory: 5150 grad_norm: 7.8888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8925 loss: 0.8925 2022/06/28 18:17:10 - mmengine - INFO - Epoch(train) [66][2220/3757] lr: 1.000e-03 eta: 9:32:18 time: 0.249 data_time: 0.008 memory: 5150 grad_norm: 7.9860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1254 loss: 1.1254 2022/06/28 18:17:15 - mmengine - INFO - Epoch(train) [66][2240/3757] lr: 1.000e-03 eta: 9:32:12 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 9.0482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/06/28 18:17:21 - mmengine - INFO - Epoch(train) [66][2260/3757] lr: 1.000e-03 eta: 9:32:07 time: 0.946 data_time: 0.014 memory: 5150 grad_norm: 8.0192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2903 loss: 1.2903 2022/06/28 18:17:26 - mmengine - INFO - Epoch(train) [66][2280/3757] lr: 1.000e-03 eta: 9:32:02 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.9080 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2525 loss: 1.2525 2022/06/28 18:17:31 - mmengine - INFO - Epoch(train) [66][2300/3757] lr: 1.000e-03 eta: 9:31:56 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 7.4430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5784 loss: 1.5784 2022/06/28 18:17:37 - mmengine - INFO - Epoch(train) [66][2320/3757] lr: 1.000e-03 eta: 9:31:51 time: 0.233 data_time: 0.010 memory: 5150 grad_norm: 6.6747 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3099 loss: 1.3099 2022/06/28 18:17:42 - mmengine - INFO - Epoch(train) [66][2340/3757] lr: 1.000e-03 eta: 9:31:46 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.4655 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3221 loss: 1.3221 2022/06/28 18:17:47 - mmengine - INFO - Epoch(train) [66][2360/3757] lr: 1.000e-03 eta: 9:31:41 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 8.8515 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1456 loss: 1.1456 2022/06/28 18:17:53 - mmengine - INFO - Epoch(train) [66][2380/3757] lr: 1.000e-03 eta: 9:31:35 time: 0.836 data_time: 0.012 memory: 5150 grad_norm: 7.8052 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3895 loss: 1.3895 2022/06/28 18:17:58 - mmengine - INFO - Epoch(train) [66][2400/3757] lr: 1.000e-03 eta: 9:31:30 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 9.3357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9493 loss: 0.9493 2022/06/28 18:18:03 - mmengine - INFO - Epoch(train) [66][2420/3757] lr: 1.000e-03 eta: 9:31:25 time: 0.288 data_time: 0.011 memory: 5150 grad_norm: 7.1414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4098 loss: 1.4098 2022/06/28 18:18:09 - mmengine - INFO - Epoch(train) [66][2440/3757] lr: 1.000e-03 eta: 9:31:20 time: 0.782 data_time: 0.008 memory: 5150 grad_norm: 7.8817 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1024 loss: 1.1024 2022/06/28 18:18:14 - mmengine - INFO - Epoch(train) [66][2460/3757] lr: 1.000e-03 eta: 9:31:14 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.1415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/06/28 18:18:19 - mmengine - INFO - Epoch(train) [66][2480/3757] lr: 1.000e-03 eta: 9:31:09 time: 0.216 data_time: 0.029 memory: 5150 grad_norm: 8.8093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/06/28 18:18:25 - mmengine - INFO - Epoch(train) [66][2500/3757] lr: 1.000e-03 eta: 9:31:04 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.2862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1899 loss: 1.1899 2022/06/28 18:18:30 - mmengine - INFO - Epoch(train) [66][2520/3757] lr: 1.000e-03 eta: 9:30:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.9208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5108 loss: 1.5108 2022/06/28 18:18:35 - mmengine - INFO - Epoch(train) [66][2540/3757] lr: 1.000e-03 eta: 9:30:53 time: 0.210 data_time: 0.028 memory: 5150 grad_norm: 7.8960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0593 loss: 1.0593 2022/06/28 18:18:41 - mmengine - INFO - Epoch(train) [66][2560/3757] lr: 1.000e-03 eta: 9:30:48 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 7.2626 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.6050 loss: 1.6050 2022/06/28 18:18:46 - mmengine - INFO - Epoch(train) [66][2580/3757] lr: 1.000e-03 eta: 9:30:42 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.2410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2178 loss: 1.2178 2022/06/28 18:18:51 - mmengine - INFO - Epoch(train) [66][2600/3757] lr: 1.000e-03 eta: 9:30:37 time: 0.229 data_time: 0.024 memory: 5150 grad_norm: 7.3175 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6880 loss: 1.6880 2022/06/28 18:18:57 - mmengine - INFO - Epoch(train) [66][2620/3757] lr: 1.000e-03 eta: 9:30:32 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.2447 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3462 loss: 1.3462 2022/06/28 18:19:03 - mmengine - INFO - Epoch(train) [66][2640/3757] lr: 1.000e-03 eta: 9:30:27 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 8.3927 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/06/28 18:19:07 - mmengine - INFO - Epoch(train) [66][2660/3757] lr: 1.000e-03 eta: 9:30:21 time: 0.214 data_time: 0.037 memory: 5150 grad_norm: 6.8300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/06/28 18:19:13 - mmengine - INFO - Epoch(train) [66][2680/3757] lr: 1.000e-03 eta: 9:30:16 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.6408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9595 loss: 0.9595 2022/06/28 18:19:17 - mmengine - INFO - Epoch(train) [66][2700/3757] lr: 1.000e-03 eta: 9:30:10 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 8.4816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2647 loss: 1.2647 2022/06/28 18:19:23 - mmengine - INFO - Epoch(train) [66][2720/3757] lr: 1.000e-03 eta: 9:30:05 time: 0.711 data_time: 0.541 memory: 5150 grad_norm: 8.9511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/06/28 18:19:29 - mmengine - INFO - Epoch(train) [66][2740/3757] lr: 1.000e-03 eta: 9:30:00 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 7.2355 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1756 loss: 1.1756 2022/06/28 18:19:34 - mmengine - INFO - Epoch(train) [66][2760/3757] lr: 1.000e-03 eta: 9:29:55 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0434 loss: 1.0434 2022/06/28 18:19:40 - mmengine - INFO - Epoch(train) [66][2780/3757] lr: 1.000e-03 eta: 9:29:49 time: 0.707 data_time: 0.529 memory: 5150 grad_norm: 7.0162 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5117 loss: 1.5117 2022/06/28 18:19:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:19:45 - mmengine - INFO - Epoch(train) [66][2800/3757] lr: 1.000e-03 eta: 9:29:44 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.5722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5785 loss: 1.5785 2022/06/28 18:19:50 - mmengine - INFO - Epoch(train) [66][2820/3757] lr: 1.000e-03 eta: 9:29:39 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.9977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1332 loss: 1.1332 2022/06/28 18:19:56 - mmengine - INFO - Epoch(train) [66][2840/3757] lr: 1.000e-03 eta: 9:29:33 time: 0.215 data_time: 0.042 memory: 5150 grad_norm: 7.6164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/06/28 18:20:02 - mmengine - INFO - Epoch(train) [66][2860/3757] lr: 1.000e-03 eta: 9:29:28 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 7.9347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5775 loss: 1.5775 2022/06/28 18:20:07 - mmengine - INFO - Epoch(train) [66][2880/3757] lr: 1.000e-03 eta: 9:29:23 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 8.6131 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1524 loss: 1.1524 2022/06/28 18:20:12 - mmengine - INFO - Epoch(train) [66][2900/3757] lr: 1.000e-03 eta: 9:29:18 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 9.3852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/06/28 18:20:18 - mmengine - INFO - Epoch(train) [66][2920/3757] lr: 1.000e-03 eta: 9:29:13 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.7460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/06/28 18:20:23 - mmengine - INFO - Epoch(train) [66][2940/3757] lr: 1.000e-03 eta: 9:29:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.4925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/06/28 18:20:28 - mmengine - INFO - Epoch(train) [66][2960/3757] lr: 1.000e-03 eta: 9:29:02 time: 0.216 data_time: 0.014 memory: 5150 grad_norm: 9.5508 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3081 loss: 1.3081 2022/06/28 18:20:34 - mmengine - INFO - Epoch(train) [66][2980/3757] lr: 1.000e-03 eta: 9:28:57 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.8208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4047 loss: 1.4047 2022/06/28 18:20:39 - mmengine - INFO - Epoch(train) [66][3000/3757] lr: 1.000e-03 eta: 9:28:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.1920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2910 loss: 1.2910 2022/06/28 18:20:44 - mmengine - INFO - Epoch(train) [66][3020/3757] lr: 1.000e-03 eta: 9:28:46 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.9712 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3909 loss: 1.3909 2022/06/28 18:20:49 - mmengine - INFO - Epoch(train) [66][3040/3757] lr: 1.000e-03 eta: 9:28:41 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.5923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1096 loss: 1.1096 2022/06/28 18:20:55 - mmengine - INFO - Epoch(train) [66][3060/3757] lr: 1.000e-03 eta: 9:28:35 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.4251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2883 loss: 1.2883 2022/06/28 18:21:01 - mmengine - INFO - Epoch(train) [66][3080/3757] lr: 1.000e-03 eta: 9:28:30 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 8.6074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2522 loss: 1.2522 2022/06/28 18:21:05 - mmengine - INFO - Epoch(train) [66][3100/3757] lr: 1.000e-03 eta: 9:28:25 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.0556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4975 loss: 1.4975 2022/06/28 18:21:11 - mmengine - INFO - Epoch(train) [66][3120/3757] lr: 1.000e-03 eta: 9:28:20 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 7.1089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6001 loss: 1.6001 2022/06/28 18:21:16 - mmengine - INFO - Epoch(train) [66][3140/3757] lr: 1.000e-03 eta: 9:28:14 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 6.7170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3603 loss: 1.3603 2022/06/28 18:21:22 - mmengine - INFO - Epoch(train) [66][3160/3757] lr: 1.000e-03 eta: 9:28:09 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 7.1780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1956 loss: 1.1956 2022/06/28 18:21:27 - mmengine - INFO - Epoch(train) [66][3180/3757] lr: 1.000e-03 eta: 9:28:04 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 7.3871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1065 loss: 1.1065 2022/06/28 18:21:32 - mmengine - INFO - Epoch(train) [66][3200/3757] lr: 1.000e-03 eta: 9:27:58 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.9540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/06/28 18:21:39 - mmengine - INFO - Epoch(train) [66][3220/3757] lr: 1.000e-03 eta: 9:27:54 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.8014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3141 loss: 1.3141 2022/06/28 18:21:43 - mmengine - INFO - Epoch(train) [66][3240/3757] lr: 1.000e-03 eta: 9:27:48 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.1940 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4433 loss: 1.4433 2022/06/28 18:21:48 - mmengine - INFO - Epoch(train) [66][3260/3757] lr: 1.000e-03 eta: 9:27:42 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 6.7713 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3925 loss: 1.3925 2022/06/28 18:21:54 - mmengine - INFO - Epoch(train) [66][3280/3757] lr: 1.000e-03 eta: 9:27:37 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 8.5272 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9141 loss: 0.9141 2022/06/28 18:21:59 - mmengine - INFO - Epoch(train) [66][3300/3757] lr: 1.000e-03 eta: 9:27:32 time: 0.206 data_time: 0.006 memory: 5150 grad_norm: 8.7389 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4311 loss: 1.4311 2022/06/28 18:22:05 - mmengine - INFO - Epoch(train) [66][3320/3757] lr: 1.000e-03 eta: 9:27:27 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.7881 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3285 loss: 1.3285 2022/06/28 18:22:10 - mmengine - INFO - Epoch(train) [66][3340/3757] lr: 1.000e-03 eta: 9:27:21 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.1648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2454 loss: 1.2454 2022/06/28 18:22:15 - mmengine - INFO - Epoch(train) [66][3360/3757] lr: 1.000e-03 eta: 9:27:16 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1034 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2588 loss: 1.2588 2022/06/28 18:22:20 - mmengine - INFO - Epoch(train) [66][3380/3757] lr: 1.000e-03 eta: 9:27:10 time: 0.251 data_time: 0.007 memory: 5150 grad_norm: 6.7363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/06/28 18:22:26 - mmengine - INFO - Epoch(train) [66][3400/3757] lr: 1.000e-03 eta: 9:27:05 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.3209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/06/28 18:22:31 - mmengine - INFO - Epoch(train) [66][3420/3757] lr: 1.000e-03 eta: 9:27:00 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.5718 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3886 loss: 1.3886 2022/06/28 18:22:37 - mmengine - INFO - Epoch(train) [66][3440/3757] lr: 1.000e-03 eta: 9:26:55 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 7.4329 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/06/28 18:22:42 - mmengine - INFO - Epoch(train) [66][3460/3757] lr: 1.000e-03 eta: 9:26:50 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 6.8313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/06/28 18:22:47 - mmengine - INFO - Epoch(train) [66][3480/3757] lr: 1.000e-03 eta: 9:26:44 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.5442 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4338 loss: 1.4338 2022/06/28 18:22:53 - mmengine - INFO - Epoch(train) [66][3500/3757] lr: 1.000e-03 eta: 9:26:39 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.7272 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5594 loss: 1.5594 2022/06/28 18:22:58 - mmengine - INFO - Epoch(train) [66][3520/3757] lr: 1.000e-03 eta: 9:26:33 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.3115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1934 loss: 1.1934 2022/06/28 18:23:04 - mmengine - INFO - Epoch(train) [66][3540/3757] lr: 1.000e-03 eta: 9:26:28 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.7300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/06/28 18:23:09 - mmengine - INFO - Epoch(train) [66][3560/3757] lr: 1.000e-03 eta: 9:26:23 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.8679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/06/28 18:23:14 - mmengine - INFO - Epoch(train) [66][3580/3757] lr: 1.000e-03 eta: 9:26:17 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.5625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/06/28 18:23:19 - mmengine - INFO - Epoch(train) [66][3600/3757] lr: 1.000e-03 eta: 9:26:12 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 7.2947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1513 loss: 1.1513 2022/06/28 18:23:25 - mmengine - INFO - Epoch(train) [66][3620/3757] lr: 1.000e-03 eta: 9:26:07 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.3411 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3283 loss: 1.3283 2022/06/28 18:23:31 - mmengine - INFO - Epoch(train) [66][3640/3757] lr: 1.000e-03 eta: 9:26:02 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 7.6372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7416 loss: 1.7416 2022/06/28 18:23:36 - mmengine - INFO - Epoch(train) [66][3660/3757] lr: 1.000e-03 eta: 9:25:57 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.2294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4619 loss: 1.4619 2022/06/28 18:23:41 - mmengine - INFO - Epoch(train) [66][3680/3757] lr: 1.000e-03 eta: 9:25:51 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.2591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1895 loss: 1.1895 2022/06/28 18:23:46 - mmengine - INFO - Epoch(train) [66][3700/3757] lr: 1.000e-03 eta: 9:25:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.1454 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3489 loss: 1.3489 2022/06/28 18:23:52 - mmengine - INFO - Epoch(train) [66][3720/3757] lr: 1.000e-03 eta: 9:25:40 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.6636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3748 loss: 1.3748 2022/06/28 18:23:57 - mmengine - INFO - Epoch(train) [66][3740/3757] lr: 1.000e-03 eta: 9:25:35 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 8.2920 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4982 loss: 1.4982 2022/06/28 18:24:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:24:33 - mmengine - INFO - Epoch(val) [66][20/310] eta: 0:05:49 time: 1.049 data_time: 0.400 memory: 9746 2022/06/28 18:24:55 - mmengine - INFO - Epoch(val) [66][40/310] eta: 0:04:53 time: 1.144 data_time: 0.495 memory: 9746 2022/06/28 18:25:19 - mmengine - INFO - Epoch(val) [66][60/310] eta: 0:04:27 time: 1.118 data_time: 0.485 memory: 9746 2022/06/28 18:25:42 - mmengine - INFO - Epoch(val) [66][80/310] eta: 0:04:32 time: 1.008 data_time: 0.346 memory: 9746 2022/06/28 18:26:06 - mmengine - INFO - Epoch(val) [66][100/310] eta: 0:04:14 time: 2.789 data_time: 2.121 memory: 9746 2022/06/28 18:26:28 - mmengine - INFO - Epoch(val) [66][120/310] eta: 0:03:16 time: 1.132 data_time: 0.482 memory: 9746 2022/06/28 18:26:52 - mmengine - INFO - Epoch(val) [66][140/310] eta: 0:03:24 time: 1.023 data_time: 0.365 memory: 9746 2022/06/28 18:27:17 - mmengine - INFO - Epoch(val) [66][160/310] eta: 0:03:15 time: 3.658 data_time: 2.966 memory: 9746 2022/06/28 18:27:40 - mmengine - INFO - Epoch(val) [66][180/310] eta: 0:02:41 time: 1.002 data_time: 0.357 memory: 9746 2022/06/28 18:28:03 - mmengine - INFO - Epoch(val) [66][200/310] eta: 0:02:13 time: 1.076 data_time: 0.434 memory: 9746 2022/06/28 18:28:24 - mmengine - INFO - Epoch(val) [66][220/310] eta: 0:01:37 time: 1.063 data_time: 0.445 memory: 9746 2022/06/28 18:28:45 - mmengine - INFO - Epoch(val) [66][240/310] eta: 0:01:09 time: 0.936 data_time: 0.290 memory: 9746 2022/06/28 18:29:07 - mmengine - INFO - Epoch(val) [66][260/310] eta: 0:00:56 time: 0.963 data_time: 0.307 memory: 9746 2022/06/28 18:29:31 - mmengine - INFO - Epoch(val) [66][280/310] eta: 0:00:36 time: 2.673 data_time: 1.991 memory: 9746 2022/06/28 18:29:50 - mmengine - INFO - Epoch(val) [66][300/310] eta: 0:00:09 time: 0.656 data_time: 0.081 memory: 9746 2022/06/28 18:30:02 - mmengine - INFO - Epoch(val) [66][310/310] acc/top1: 0.7087 acc/top5: 0.8976 acc/mean1: 0.7086 2022/06/28 18:30:12 - mmengine - INFO - Epoch(train) [67][20/3757] lr: 1.000e-03 eta: 9:25:26 time: 0.202 data_time: 0.008 memory: 9746 grad_norm: 6.8728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9579 loss: 0.9579 2022/06/28 18:30:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:30:18 - mmengine - INFO - Epoch(train) [67][40/3757] lr: 1.000e-03 eta: 9:25:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.1547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 18:30:22 - mmengine - INFO - Epoch(train) [67][60/3757] lr: 1.000e-03 eta: 9:25:15 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 6.9414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2594 loss: 1.2594 2022/06/28 18:30:28 - mmengine - INFO - Epoch(train) [67][80/3757] lr: 1.000e-03 eta: 9:25:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.9197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2770 loss: 1.2770 2022/06/28 18:30:34 - mmengine - INFO - Epoch(train) [67][100/3757] lr: 1.000e-03 eta: 9:25:05 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.4697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2448 loss: 1.2448 2022/06/28 18:30:39 - mmengine - INFO - Epoch(train) [67][120/3757] lr: 1.000e-03 eta: 9:24:59 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.0980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/06/28 18:30:48 - mmengine - INFO - Epoch(train) [67][140/3757] lr: 1.000e-03 eta: 9:24:56 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.6076 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2689 loss: 1.2689 2022/06/28 18:30:52 - mmengine - INFO - Epoch(train) [67][160/3757] lr: 1.000e-03 eta: 9:24:50 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.9147 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5842 loss: 1.5842 2022/06/28 18:31:00 - mmengine - INFO - Epoch(train) [67][180/3757] lr: 1.000e-03 eta: 9:24:46 time: 0.203 data_time: 0.020 memory: 5150 grad_norm: 9.3439 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3993 loss: 1.3993 2022/06/28 18:31:05 - mmengine - INFO - Epoch(train) [67][200/3757] lr: 1.000e-03 eta: 9:24:41 time: 0.211 data_time: 0.017 memory: 5150 grad_norm: 9.1622 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8112 loss: 1.8112 2022/06/28 18:31:10 - mmengine - INFO - Epoch(train) [67][220/3757] lr: 1.000e-03 eta: 9:24:35 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 8.5251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/06/28 18:31:16 - mmengine - INFO - Epoch(train) [67][240/3757] lr: 1.000e-03 eta: 9:24:30 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 6.9021 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8046 loss: 1.8046 2022/06/28 18:31:22 - mmengine - INFO - Epoch(train) [67][260/3757] lr: 1.000e-03 eta: 9:24:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.6950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2906 loss: 1.2906 2022/06/28 18:31:27 - mmengine - INFO - Epoch(train) [67][280/3757] lr: 1.000e-03 eta: 9:24:20 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 9.1046 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0428 loss: 1.0428 2022/06/28 18:31:31 - mmengine - INFO - Epoch(train) [67][300/3757] lr: 1.000e-03 eta: 9:24:14 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.1163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/06/28 18:31:37 - mmengine - INFO - Epoch(train) [67][320/3757] lr: 1.000e-03 eta: 9:24:09 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 7.0273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/06/28 18:31:43 - mmengine - INFO - Epoch(train) [67][340/3757] lr: 1.000e-03 eta: 9:24:04 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.7055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2845 loss: 1.2845 2022/06/28 18:31:48 - mmengine - INFO - Epoch(train) [67][360/3757] lr: 1.000e-03 eta: 9:23:58 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.1954 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/28 18:31:54 - mmengine - INFO - Epoch(train) [67][380/3757] lr: 1.000e-03 eta: 9:23:53 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.8707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5065 loss: 1.5065 2022/06/28 18:31:59 - mmengine - INFO - Epoch(train) [67][400/3757] lr: 1.000e-03 eta: 9:23:48 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 7.2099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1930 loss: 1.1930 2022/06/28 18:32:04 - mmengine - INFO - Epoch(train) [67][420/3757] lr: 1.000e-03 eta: 9:23:43 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.8958 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/06/28 18:32:09 - mmengine - INFO - Epoch(train) [67][440/3757] lr: 1.000e-03 eta: 9:23:37 time: 0.210 data_time: 0.023 memory: 5150 grad_norm: 7.8577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6296 loss: 1.6296 2022/06/28 18:32:15 - mmengine - INFO - Epoch(train) [67][460/3757] lr: 1.000e-03 eta: 9:23:32 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 6.8854 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/06/28 18:32:20 - mmengine - INFO - Epoch(train) [67][480/3757] lr: 1.000e-03 eta: 9:23:26 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.7688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6419 loss: 1.6419 2022/06/28 18:32:26 - mmengine - INFO - Epoch(train) [67][500/3757] lr: 1.000e-03 eta: 9:23:22 time: 0.209 data_time: 0.032 memory: 5150 grad_norm: 7.1004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2122 loss: 1.2122 2022/06/28 18:32:31 - mmengine - INFO - Epoch(train) [67][520/3757] lr: 1.000e-03 eta: 9:23:16 time: 0.279 data_time: 0.008 memory: 5150 grad_norm: 8.2058 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/06/28 18:32:37 - mmengine - INFO - Epoch(train) [67][540/3757] lr: 1.000e-03 eta: 9:23:11 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.6130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3289 loss: 1.3289 2022/06/28 18:32:42 - mmengine - INFO - Epoch(train) [67][560/3757] lr: 1.000e-03 eta: 9:23:06 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 7.4904 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9654 loss: 0.9654 2022/06/28 18:32:48 - mmengine - INFO - Epoch(train) [67][580/3757] lr: 1.000e-03 eta: 9:23:01 time: 0.213 data_time: 0.017 memory: 5150 grad_norm: 7.9120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2928 loss: 1.2928 2022/06/28 18:32:54 - mmengine - INFO - Epoch(train) [67][600/3757] lr: 1.000e-03 eta: 9:22:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.3927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/06/28 18:32:59 - mmengine - INFO - Epoch(train) [67][620/3757] lr: 1.000e-03 eta: 9:22:50 time: 0.579 data_time: 0.033 memory: 5150 grad_norm: 7.2553 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4964 loss: 1.4964 2022/06/28 18:33:05 - mmengine - INFO - Epoch(train) [67][640/3757] lr: 1.000e-03 eta: 9:22:46 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.1091 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3936 loss: 1.3936 2022/06/28 18:33:12 - mmengine - INFO - Epoch(train) [67][660/3757] lr: 1.000e-03 eta: 9:22:41 time: 0.305 data_time: 0.008 memory: 5150 grad_norm: 5.6872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1948 loss: 1.1948 2022/06/28 18:33:16 - mmengine - INFO - Epoch(train) [67][680/3757] lr: 1.000e-03 eta: 9:22:35 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.1276 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4866 loss: 1.4866 2022/06/28 18:33:21 - mmengine - INFO - Epoch(train) [67][700/3757] lr: 1.000e-03 eta: 9:22:29 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.2451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/06/28 18:33:27 - mmengine - INFO - Epoch(train) [67][720/3757] lr: 1.000e-03 eta: 9:22:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.4450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4995 loss: 1.4995 2022/06/28 18:33:33 - mmengine - INFO - Epoch(train) [67][740/3757] lr: 1.000e-03 eta: 9:22:19 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.1500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5158 loss: 1.5158 2022/06/28 18:33:37 - mmengine - INFO - Epoch(train) [67][760/3757] lr: 1.000e-03 eta: 9:22:13 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.1325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/06/28 18:33:45 - mmengine - INFO - Epoch(train) [67][780/3757] lr: 1.000e-03 eta: 9:22:09 time: 0.202 data_time: 0.026 memory: 5150 grad_norm: 7.5427 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2537 loss: 1.2537 2022/06/28 18:33:49 - mmengine - INFO - Epoch(train) [67][800/3757] lr: 1.000e-03 eta: 9:22:04 time: 0.205 data_time: 0.006 memory: 5150 grad_norm: 8.9209 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2807 loss: 1.2807 2022/06/28 18:33:54 - mmengine - INFO - Epoch(train) [67][820/3757] lr: 1.000e-03 eta: 9:21:58 time: 0.342 data_time: 0.007 memory: 5150 grad_norm: 7.6390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3402 loss: 1.3402 2022/06/28 18:34:00 - mmengine - INFO - Epoch(train) [67][840/3757] lr: 1.000e-03 eta: 9:21:53 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 6.8491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6730 loss: 1.6730 2022/06/28 18:34:04 - mmengine - INFO - Epoch(train) [67][860/3757] lr: 1.000e-03 eta: 9:21:47 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.3146 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3266 loss: 1.3266 2022/06/28 18:34:10 - mmengine - INFO - Epoch(train) [67][880/3757] lr: 1.000e-03 eta: 9:21:42 time: 0.286 data_time: 0.008 memory: 5150 grad_norm: 8.7517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/06/28 18:34:16 - mmengine - INFO - Epoch(train) [67][900/3757] lr: 1.000e-03 eta: 9:21:37 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.6545 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1786 loss: 1.1786 2022/06/28 18:34:20 - mmengine - INFO - Epoch(train) [67][920/3757] lr: 1.000e-03 eta: 9:21:31 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4399 loss: 1.4399 2022/06/28 18:34:26 - mmengine - INFO - Epoch(train) [67][940/3757] lr: 1.000e-03 eta: 9:21:26 time: 0.220 data_time: 0.024 memory: 5150 grad_norm: 8.1003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2871 loss: 1.2871 2022/06/28 18:34:31 - mmengine - INFO - Epoch(train) [67][960/3757] lr: 1.000e-03 eta: 9:21:21 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 8.5034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5179 loss: 1.5179 2022/06/28 18:34:37 - mmengine - INFO - Epoch(train) [67][980/3757] lr: 1.000e-03 eta: 9:21:16 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.9014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3044 loss: 1.3044 2022/06/28 18:34:42 - mmengine - INFO - Epoch(train) [67][1000/3757] lr: 1.000e-03 eta: 9:21:10 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 7.4649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/06/28 18:34:47 - mmengine - INFO - Epoch(train) [67][1020/3757] lr: 1.000e-03 eta: 9:21:05 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.2461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0839 loss: 1.0839 2022/06/28 18:34:52 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:34:53 - mmengine - INFO - Epoch(train) [67][1040/3757] lr: 1.000e-03 eta: 9:21:00 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.8940 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/06/28 18:34:59 - mmengine - INFO - Epoch(train) [67][1060/3757] lr: 1.000e-03 eta: 9:20:55 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.7931 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1061 loss: 1.1061 2022/06/28 18:35:07 - mmengine - INFO - Epoch(train) [67][1080/3757] lr: 1.000e-03 eta: 9:20:51 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.4717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5637 loss: 1.5637 2022/06/28 18:35:12 - mmengine - INFO - Epoch(train) [67][1100/3757] lr: 1.000e-03 eta: 9:20:45 time: 0.237 data_time: 0.012 memory: 5150 grad_norm: 8.1632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2393 loss: 1.2393 2022/06/28 18:35:17 - mmengine - INFO - Epoch(train) [67][1120/3757] lr: 1.000e-03 eta: 9:20:40 time: 0.390 data_time: 0.008 memory: 5150 grad_norm: 8.3885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1487 loss: 1.1487 2022/06/28 18:35:22 - mmengine - INFO - Epoch(train) [67][1140/3757] lr: 1.000e-03 eta: 9:20:34 time: 0.237 data_time: 0.019 memory: 5150 grad_norm: 8.1627 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2609 loss: 1.2609 2022/06/28 18:35:28 - mmengine - INFO - Epoch(train) [67][1160/3757] lr: 1.000e-03 eta: 9:20:29 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 9.1988 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2971 loss: 1.2971 2022/06/28 18:35:32 - mmengine - INFO - Epoch(train) [67][1180/3757] lr: 1.000e-03 eta: 9:20:24 time: 0.562 data_time: 0.010 memory: 5150 grad_norm: 8.1088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/06/28 18:35:38 - mmengine - INFO - Epoch(train) [67][1200/3757] lr: 1.000e-03 eta: 9:20:18 time: 0.226 data_time: 0.016 memory: 5150 grad_norm: 7.5601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4242 loss: 1.4242 2022/06/28 18:35:43 - mmengine - INFO - Epoch(train) [67][1220/3757] lr: 1.000e-03 eta: 9:20:13 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 7.2971 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/06/28 18:35:48 - mmengine - INFO - Epoch(train) [67][1240/3757] lr: 1.000e-03 eta: 9:20:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2113 loss: 1.2113 2022/06/28 18:35:54 - mmengine - INFO - Epoch(train) [67][1260/3757] lr: 1.000e-03 eta: 9:20:02 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.6377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5822 loss: 1.5822 2022/06/28 18:35:59 - mmengine - INFO - Epoch(train) [67][1280/3757] lr: 1.000e-03 eta: 9:19:57 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 8.0209 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3432 loss: 1.3432 2022/06/28 18:36:07 - mmengine - INFO - Epoch(train) [67][1300/3757] lr: 1.000e-03 eta: 9:19:53 time: 1.352 data_time: 0.023 memory: 5150 grad_norm: 8.0281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3110 loss: 1.3110 2022/06/28 18:36:12 - mmengine - INFO - Epoch(train) [67][1320/3757] lr: 1.000e-03 eta: 9:19:47 time: 0.256 data_time: 0.043 memory: 5150 grad_norm: 6.9256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4735 loss: 1.4735 2022/06/28 18:36:16 - mmengine - INFO - Epoch(train) [67][1340/3757] lr: 1.000e-03 eta: 9:19:42 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 7.8796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2432 loss: 1.2432 2022/06/28 18:36:22 - mmengine - INFO - Epoch(train) [67][1360/3757] lr: 1.000e-03 eta: 9:19:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.2813 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1841 loss: 1.1841 2022/06/28 18:36:27 - mmengine - INFO - Epoch(train) [67][1380/3757] lr: 1.000e-03 eta: 9:19:31 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 8.4177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3648 loss: 1.3648 2022/06/28 18:36:33 - mmengine - INFO - Epoch(train) [67][1400/3757] lr: 1.000e-03 eta: 9:19:26 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 8.9794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/06/28 18:36:39 - mmengine - INFO - Epoch(train) [67][1420/3757] lr: 1.000e-03 eta: 9:19:21 time: 0.726 data_time: 0.016 memory: 5150 grad_norm: 8.4647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4543 loss: 1.4543 2022/06/28 18:36:44 - mmengine - INFO - Epoch(train) [67][1440/3757] lr: 1.000e-03 eta: 9:19:16 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.7911 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2890 loss: 1.2890 2022/06/28 18:36:49 - mmengine - INFO - Epoch(train) [67][1460/3757] lr: 1.000e-03 eta: 9:19:10 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.8237 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1732 loss: 1.1732 2022/06/28 18:36:54 - mmengine - INFO - Epoch(train) [67][1480/3757] lr: 1.000e-03 eta: 9:19:05 time: 0.195 data_time: 0.014 memory: 5150 grad_norm: 7.9023 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0384 loss: 1.0384 2022/06/28 18:37:00 - mmengine - INFO - Epoch(train) [67][1500/3757] lr: 1.000e-03 eta: 9:19:00 time: 0.697 data_time: 0.007 memory: 5150 grad_norm: 8.0409 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6374 loss: 1.6374 2022/06/28 18:37:06 - mmengine - INFO - Epoch(train) [67][1520/3757] lr: 1.000e-03 eta: 9:18:55 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.7983 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4143 loss: 1.4143 2022/06/28 18:37:10 - mmengine - INFO - Epoch(train) [67][1540/3757] lr: 1.000e-03 eta: 9:18:49 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.3503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6830 loss: 1.6830 2022/06/28 18:37:16 - mmengine - INFO - Epoch(train) [67][1560/3757] lr: 1.000e-03 eta: 9:18:44 time: 0.935 data_time: 0.007 memory: 5150 grad_norm: 6.7870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2744 loss: 1.2744 2022/06/28 18:37:21 - mmengine - INFO - Epoch(train) [67][1580/3757] lr: 1.000e-03 eta: 9:18:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.5989 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1557 loss: 1.1557 2022/06/28 18:37:26 - mmengine - INFO - Epoch(train) [67][1600/3757] lr: 1.000e-03 eta: 9:18:33 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 9.4820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/06/28 18:37:33 - mmengine - INFO - Epoch(train) [67][1620/3757] lr: 1.000e-03 eta: 9:18:28 time: 1.660 data_time: 0.007 memory: 5150 grad_norm: 7.2103 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2063 loss: 1.2063 2022/06/28 18:37:37 - mmengine - INFO - Epoch(train) [67][1640/3757] lr: 1.000e-03 eta: 9:18:22 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.7180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/06/28 18:37:41 - mmengine - INFO - Epoch(train) [67][1660/3757] lr: 1.000e-03 eta: 9:18:17 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 7.2508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/06/28 18:37:47 - mmengine - INFO - Epoch(train) [67][1680/3757] lr: 1.000e-03 eta: 9:18:12 time: 0.817 data_time: 0.007 memory: 5150 grad_norm: 8.0455 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4871 loss: 1.4871 2022/06/28 18:37:52 - mmengine - INFO - Epoch(train) [67][1700/3757] lr: 1.000e-03 eta: 9:18:06 time: 0.220 data_time: 0.009 memory: 5150 grad_norm: 8.1073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3483 loss: 1.3483 2022/06/28 18:37:58 - mmengine - INFO - Epoch(train) [67][1720/3757] lr: 1.000e-03 eta: 9:18:01 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 6.0940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2888 loss: 1.2888 2022/06/28 18:38:03 - mmengine - INFO - Epoch(train) [67][1740/3757] lr: 1.000e-03 eta: 9:17:56 time: 0.937 data_time: 0.009 memory: 5150 grad_norm: 8.2157 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3684 loss: 1.3684 2022/06/28 18:38:08 - mmengine - INFO - Epoch(train) [67][1760/3757] lr: 1.000e-03 eta: 9:17:50 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.3603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/06/28 18:38:14 - mmengine - INFO - Epoch(train) [67][1780/3757] lr: 1.000e-03 eta: 9:17:45 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.9036 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5024 loss: 1.5024 2022/06/28 18:38:19 - mmengine - INFO - Epoch(train) [67][1800/3757] lr: 1.000e-03 eta: 9:17:40 time: 0.752 data_time: 0.007 memory: 5150 grad_norm: 8.2463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4780 loss: 1.4780 2022/06/28 18:38:24 - mmengine - INFO - Epoch(train) [67][1820/3757] lr: 1.000e-03 eta: 9:17:34 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.8882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3682 loss: 1.3682 2022/06/28 18:38:30 - mmengine - INFO - Epoch(train) [67][1840/3757] lr: 1.000e-03 eta: 9:17:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.5682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3399 loss: 1.3399 2022/06/28 18:38:35 - mmengine - INFO - Epoch(train) [67][1860/3757] lr: 1.000e-03 eta: 9:17:24 time: 1.065 data_time: 0.011 memory: 5150 grad_norm: 7.6624 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/06/28 18:38:40 - mmengine - INFO - Epoch(train) [67][1880/3757] lr: 1.000e-03 eta: 9:17:18 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.2489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4644 loss: 1.4644 2022/06/28 18:38:46 - mmengine - INFO - Epoch(train) [67][1900/3757] lr: 1.000e-03 eta: 9:17:13 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.3566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3872 loss: 1.3872 2022/06/28 18:38:51 - mmengine - INFO - Epoch(train) [67][1920/3757] lr: 1.000e-03 eta: 9:17:08 time: 0.725 data_time: 0.012 memory: 5150 grad_norm: 7.1640 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5478 loss: 1.5478 2022/06/28 18:38:56 - mmengine - INFO - Epoch(train) [67][1940/3757] lr: 1.000e-03 eta: 9:17:02 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.8342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0348 loss: 1.0348 2022/06/28 18:39:01 - mmengine - INFO - Epoch(train) [67][1960/3757] lr: 1.000e-03 eta: 9:16:57 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.0460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4803 loss: 1.4803 2022/06/28 18:39:06 - mmengine - INFO - Epoch(train) [67][1980/3757] lr: 1.000e-03 eta: 9:16:51 time: 0.744 data_time: 0.007 memory: 5150 grad_norm: 8.4444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3599 loss: 1.3599 2022/06/28 18:39:12 - mmengine - INFO - Epoch(train) [67][2000/3757] lr: 1.000e-03 eta: 9:16:46 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 6.9735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/06/28 18:39:18 - mmengine - INFO - Epoch(train) [67][2020/3757] lr: 1.000e-03 eta: 9:16:41 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.7043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2814 loss: 1.2814 2022/06/28 18:39:22 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:39:23 - mmengine - INFO - Epoch(train) [67][2040/3757] lr: 1.000e-03 eta: 9:16:36 time: 0.496 data_time: 0.010 memory: 5150 grad_norm: 7.2067 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/06/28 18:39:30 - mmengine - INFO - Epoch(train) [67][2060/3757] lr: 1.000e-03 eta: 9:16:31 time: 0.211 data_time: 0.020 memory: 5150 grad_norm: 9.0126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3989 loss: 1.3989 2022/06/28 18:39:38 - mmengine - INFO - Epoch(train) [67][2080/3757] lr: 1.000e-03 eta: 9:16:27 time: 2.410 data_time: 0.007 memory: 5150 grad_norm: 7.1274 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4990 loss: 1.4990 2022/06/28 18:39:43 - mmengine - INFO - Epoch(train) [67][2100/3757] lr: 1.000e-03 eta: 9:16:22 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.6874 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4524 loss: 1.4524 2022/06/28 18:39:51 - mmengine - INFO - Epoch(train) [67][2120/3757] lr: 1.000e-03 eta: 9:16:18 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.2261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1427 loss: 1.1427 2022/06/28 18:39:58 - mmengine - INFO - Epoch(train) [67][2140/3757] lr: 1.000e-03 eta: 9:16:13 time: 2.458 data_time: 0.046 memory: 5150 grad_norm: 9.1721 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2111 loss: 1.2111 2022/06/28 18:40:04 - mmengine - INFO - Epoch(train) [67][2160/3757] lr: 1.000e-03 eta: 9:16:08 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.6034 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6439 loss: 1.6439 2022/06/28 18:40:09 - mmengine - INFO - Epoch(train) [67][2180/3757] lr: 1.000e-03 eta: 9:16:03 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.1246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3045 loss: 1.3045 2022/06/28 18:40:13 - mmengine - INFO - Epoch(train) [67][2200/3757] lr: 1.000e-03 eta: 9:15:57 time: 0.207 data_time: 0.026 memory: 5150 grad_norm: 7.9692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1300 loss: 1.1300 2022/06/28 18:40:19 - mmengine - INFO - Epoch(train) [67][2220/3757] lr: 1.000e-03 eta: 9:15:52 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.4012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3195 loss: 1.3195 2022/06/28 18:40:24 - mmengine - INFO - Epoch(train) [67][2240/3757] lr: 1.000e-03 eta: 9:15:47 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.8267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2550 loss: 1.2550 2022/06/28 18:40:30 - mmengine - INFO - Epoch(train) [67][2260/3757] lr: 1.000e-03 eta: 9:15:42 time: 0.192 data_time: 0.020 memory: 5150 grad_norm: 7.9597 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2062 loss: 1.2062 2022/06/28 18:40:35 - mmengine - INFO - Epoch(train) [67][2280/3757] lr: 1.000e-03 eta: 9:15:36 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5698 loss: 1.5698 2022/06/28 18:40:41 - mmengine - INFO - Epoch(train) [67][2300/3757] lr: 1.000e-03 eta: 9:15:31 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.7314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/06/28 18:40:46 - mmengine - INFO - Epoch(train) [67][2320/3757] lr: 1.000e-03 eta: 9:15:25 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 7.6400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4073 loss: 1.4073 2022/06/28 18:40:51 - mmengine - INFO - Epoch(train) [67][2340/3757] lr: 1.000e-03 eta: 9:15:20 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.1174 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1963 loss: 1.1963 2022/06/28 18:40:56 - mmengine - INFO - Epoch(train) [67][2360/3757] lr: 1.000e-03 eta: 9:15:15 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 8.0127 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4202 loss: 1.4202 2022/06/28 18:41:02 - mmengine - INFO - Epoch(train) [67][2380/3757] lr: 1.000e-03 eta: 9:15:10 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 6.9529 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7520 loss: 1.7520 2022/06/28 18:41:07 - mmengine - INFO - Epoch(train) [67][2400/3757] lr: 1.000e-03 eta: 9:15:04 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 6.9881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2619 loss: 1.2619 2022/06/28 18:41:13 - mmengine - INFO - Epoch(train) [67][2420/3757] lr: 1.000e-03 eta: 9:14:59 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.0698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3747 loss: 1.3747 2022/06/28 18:41:18 - mmengine - INFO - Epoch(train) [67][2440/3757] lr: 1.000e-03 eta: 9:14:54 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.3834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4393 loss: 1.4393 2022/06/28 18:41:23 - mmengine - INFO - Epoch(train) [67][2460/3757] lr: 1.000e-03 eta: 9:14:48 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.3780 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/06/28 18:41:28 - mmengine - INFO - Epoch(train) [67][2480/3757] lr: 1.000e-03 eta: 9:14:43 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.3749 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3611 loss: 1.3611 2022/06/28 18:41:33 - mmengine - INFO - Epoch(train) [67][2500/3757] lr: 1.000e-03 eta: 9:14:38 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6519 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5352 loss: 1.5352 2022/06/28 18:41:39 - mmengine - INFO - Epoch(train) [67][2520/3757] lr: 1.000e-03 eta: 9:14:32 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 8.7442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4762 loss: 1.4762 2022/06/28 18:41:44 - mmengine - INFO - Epoch(train) [67][2540/3757] lr: 1.000e-03 eta: 9:14:27 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 8.7701 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3288 loss: 1.3288 2022/06/28 18:41:53 - mmengine - INFO - Epoch(train) [67][2560/3757] lr: 1.000e-03 eta: 9:14:24 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.4453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/06/28 18:41:57 - mmengine - INFO - Epoch(train) [67][2580/3757] lr: 1.000e-03 eta: 9:14:18 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.3556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/06/28 18:42:02 - mmengine - INFO - Epoch(train) [67][2600/3757] lr: 1.000e-03 eta: 9:14:12 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 9.3845 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4226 loss: 1.4226 2022/06/28 18:42:06 - mmengine - INFO - Epoch(train) [67][2620/3757] lr: 1.000e-03 eta: 9:14:06 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 9.3810 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2276 loss: 1.2276 2022/06/28 18:42:11 - mmengine - INFO - Epoch(train) [67][2640/3757] lr: 1.000e-03 eta: 9:14:01 time: 0.275 data_time: 0.014 memory: 5150 grad_norm: 7.2498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4210 loss: 1.4210 2022/06/28 18:42:17 - mmengine - INFO - Epoch(train) [67][2660/3757] lr: 1.000e-03 eta: 9:13:55 time: 0.433 data_time: 0.007 memory: 5150 grad_norm: 8.7109 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4125 loss: 1.4125 2022/06/28 18:42:22 - mmengine - INFO - Epoch(train) [67][2680/3757] lr: 1.000e-03 eta: 9:13:50 time: 0.314 data_time: 0.007 memory: 5150 grad_norm: 7.1583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4204 loss: 1.4204 2022/06/28 18:42:29 - mmengine - INFO - Epoch(train) [67][2700/3757] lr: 1.000e-03 eta: 9:13:45 time: 1.170 data_time: 0.993 memory: 5150 grad_norm: 7.2083 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1736 loss: 1.1736 2022/06/28 18:42:35 - mmengine - INFO - Epoch(train) [67][2720/3757] lr: 1.000e-03 eta: 9:13:41 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.5593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2767 loss: 1.2767 2022/06/28 18:42:40 - mmengine - INFO - Epoch(train) [67][2740/3757] lr: 1.000e-03 eta: 9:13:35 time: 0.533 data_time: 0.007 memory: 5150 grad_norm: 7.1766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5842 loss: 1.5842 2022/06/28 18:42:48 - mmengine - INFO - Epoch(train) [67][2760/3757] lr: 1.000e-03 eta: 9:13:31 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 8.8040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1042 loss: 1.1042 2022/06/28 18:42:54 - mmengine - INFO - Epoch(train) [67][2780/3757] lr: 1.000e-03 eta: 9:13:26 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.2680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6367 loss: 1.6367 2022/06/28 18:43:01 - mmengine - INFO - Epoch(train) [67][2800/3757] lr: 1.000e-03 eta: 9:13:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.2954 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2587 loss: 1.2587 2022/06/28 18:43:05 - mmengine - INFO - Epoch(train) [67][2820/3757] lr: 1.000e-03 eta: 9:13:16 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 7.4749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5488 loss: 1.5488 2022/06/28 18:43:11 - mmengine - INFO - Epoch(train) [67][2840/3757] lr: 1.000e-03 eta: 9:13:11 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.4044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2788 loss: 1.2788 2022/06/28 18:43:16 - mmengine - INFO - Epoch(train) [67][2860/3757] lr: 1.000e-03 eta: 9:13:05 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 8.6600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/06/28 18:43:22 - mmengine - INFO - Epoch(train) [67][2880/3757] lr: 1.000e-03 eta: 9:13:00 time: 0.227 data_time: 0.006 memory: 5150 grad_norm: 8.0574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3875 loss: 1.3875 2022/06/28 18:43:27 - mmengine - INFO - Epoch(train) [67][2900/3757] lr: 1.000e-03 eta: 9:12:55 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.3859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3630 loss: 1.3630 2022/06/28 18:43:33 - mmengine - INFO - Epoch(train) [67][2920/3757] lr: 1.000e-03 eta: 9:12:50 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.6374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2815 loss: 1.2815 2022/06/28 18:43:38 - mmengine - INFO - Epoch(train) [67][2940/3757] lr: 1.000e-03 eta: 9:12:44 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 8.1837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8323 loss: 1.8323 2022/06/28 18:43:43 - mmengine - INFO - Epoch(train) [67][2960/3757] lr: 1.000e-03 eta: 9:12:39 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.6798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/06/28 18:43:49 - mmengine - INFO - Epoch(train) [67][2980/3757] lr: 1.000e-03 eta: 9:12:34 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.4654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3990 loss: 1.3990 2022/06/28 18:43:54 - mmengine - INFO - Epoch(train) [67][3000/3757] lr: 1.000e-03 eta: 9:12:28 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 9.1410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4174 loss: 1.4174 2022/06/28 18:43:59 - mmengine - INFO - Epoch(train) [67][3020/3757] lr: 1.000e-03 eta: 9:12:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.5273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4819 loss: 1.4819 2022/06/28 18:44:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:44:04 - mmengine - INFO - Epoch(train) [67][3040/3757] lr: 1.000e-03 eta: 9:12:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.8635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3131 loss: 1.3131 2022/06/28 18:44:10 - mmengine - INFO - Epoch(train) [67][3060/3757] lr: 1.000e-03 eta: 9:12:12 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 7.4785 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6944 loss: 1.6944 2022/06/28 18:44:15 - mmengine - INFO - Epoch(train) [67][3080/3757] lr: 1.000e-03 eta: 9:12:07 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.8511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4834 loss: 1.4834 2022/06/28 18:44:20 - mmengine - INFO - Epoch(train) [67][3100/3757] lr: 1.000e-03 eta: 9:12:02 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 7.7264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1740 loss: 1.1740 2022/06/28 18:44:25 - mmengine - INFO - Epoch(train) [67][3120/3757] lr: 1.000e-03 eta: 9:11:56 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.2471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4209 loss: 1.4209 2022/06/28 18:44:31 - mmengine - INFO - Epoch(train) [67][3140/3757] lr: 1.000e-03 eta: 9:11:51 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.9061 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/06/28 18:44:37 - mmengine - INFO - Epoch(train) [67][3160/3757] lr: 1.000e-03 eta: 9:11:46 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.6226 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5059 loss: 1.5059 2022/06/28 18:44:42 - mmengine - INFO - Epoch(train) [67][3180/3757] lr: 1.000e-03 eta: 9:11:40 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 7.7984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1185 loss: 1.1185 2022/06/28 18:44:47 - mmengine - INFO - Epoch(train) [67][3200/3757] lr: 1.000e-03 eta: 9:11:35 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.9095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1713 loss: 1.1713 2022/06/28 18:44:53 - mmengine - INFO - Epoch(train) [67][3220/3757] lr: 1.000e-03 eta: 9:11:30 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.7491 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0293 loss: 2.0293 2022/06/28 18:44:58 - mmengine - INFO - Epoch(train) [67][3240/3757] lr: 1.000e-03 eta: 9:11:25 time: 0.218 data_time: 0.010 memory: 5150 grad_norm: 7.2183 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3547 loss: 1.3547 2022/06/28 18:45:06 - mmengine - INFO - Epoch(train) [67][3260/3757] lr: 1.000e-03 eta: 9:11:20 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.0765 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/06/28 18:45:11 - mmengine - INFO - Epoch(train) [67][3280/3757] lr: 1.000e-03 eta: 9:11:15 time: 0.486 data_time: 0.007 memory: 5150 grad_norm: 9.0961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/06/28 18:45:16 - mmengine - INFO - Epoch(train) [67][3300/3757] lr: 1.000e-03 eta: 9:11:10 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.0762 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1120 loss: 1.1120 2022/06/28 18:45:21 - mmengine - INFO - Epoch(train) [67][3320/3757] lr: 1.000e-03 eta: 9:11:04 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.4326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6264 loss: 1.6264 2022/06/28 18:45:27 - mmengine - INFO - Epoch(train) [67][3340/3757] lr: 1.000e-03 eta: 9:10:59 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.8048 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5722 loss: 1.5722 2022/06/28 18:45:33 - mmengine - INFO - Epoch(train) [67][3360/3757] lr: 1.000e-03 eta: 9:10:54 time: 0.273 data_time: 0.007 memory: 5150 grad_norm: 7.1035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2131 loss: 1.2131 2022/06/28 18:45:37 - mmengine - INFO - Epoch(train) [67][3380/3757] lr: 1.000e-03 eta: 9:10:48 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 9.0736 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4936 loss: 1.4936 2022/06/28 18:45:43 - mmengine - INFO - Epoch(train) [67][3400/3757] lr: 1.000e-03 eta: 9:10:43 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 7.3783 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3444 loss: 1.3444 2022/06/28 18:45:48 - mmengine - INFO - Epoch(train) [67][3420/3757] lr: 1.000e-03 eta: 9:10:38 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 8.1030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3169 loss: 1.3169 2022/06/28 18:45:53 - mmengine - INFO - Epoch(train) [67][3440/3757] lr: 1.000e-03 eta: 9:10:32 time: 0.212 data_time: 0.023 memory: 5150 grad_norm: 7.3177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3862 loss: 1.3862 2022/06/28 18:45:59 - mmengine - INFO - Epoch(train) [67][3460/3757] lr: 1.000e-03 eta: 9:10:27 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.4693 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2268 loss: 1.2268 2022/06/28 18:46:04 - mmengine - INFO - Epoch(train) [67][3480/3757] lr: 1.000e-03 eta: 9:10:22 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.9704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3707 loss: 1.3707 2022/06/28 18:46:09 - mmengine - INFO - Epoch(train) [67][3500/3757] lr: 1.000e-03 eta: 9:10:16 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5890 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4290 loss: 1.4290 2022/06/28 18:46:14 - mmengine - INFO - Epoch(train) [67][3520/3757] lr: 1.000e-03 eta: 9:10:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.7698 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1042 loss: 1.1042 2022/06/28 18:46:20 - mmengine - INFO - Epoch(train) [67][3540/3757] lr: 1.000e-03 eta: 9:10:06 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.9760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/06/28 18:46:26 - mmengine - INFO - Epoch(train) [67][3560/3757] lr: 1.000e-03 eta: 9:10:01 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.1601 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4819 loss: 1.4819 2022/06/28 18:46:30 - mmengine - INFO - Epoch(train) [67][3580/3757] lr: 1.000e-03 eta: 9:09:55 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.7896 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/06/28 18:46:36 - mmengine - INFO - Epoch(train) [67][3600/3757] lr: 1.000e-03 eta: 9:09:50 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.9575 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/28 18:46:41 - mmengine - INFO - Epoch(train) [67][3620/3757] lr: 1.000e-03 eta: 9:09:44 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.1679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7623 loss: 1.7623 2022/06/28 18:46:47 - mmengine - INFO - Epoch(train) [67][3640/3757] lr: 1.000e-03 eta: 9:09:39 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.3322 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/06/28 18:46:52 - mmengine - INFO - Epoch(train) [67][3660/3757] lr: 1.000e-03 eta: 9:09:34 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 7.4310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4353 loss: 1.4353 2022/06/28 18:46:57 - mmengine - INFO - Epoch(train) [67][3680/3757] lr: 1.000e-03 eta: 9:09:28 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.3635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/06/28 18:47:04 - mmengine - INFO - Epoch(train) [67][3700/3757] lr: 1.000e-03 eta: 9:09:24 time: 0.213 data_time: 0.036 memory: 5150 grad_norm: 7.6001 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3591 loss: 1.3591 2022/06/28 18:47:08 - mmengine - INFO - Epoch(train) [67][3720/3757] lr: 1.000e-03 eta: 9:09:18 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.9258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5276 loss: 1.5276 2022/06/28 18:47:12 - mmengine - INFO - Epoch(train) [67][3740/3757] lr: 1.000e-03 eta: 9:09:12 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.6240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6000 loss: 1.6000 2022/06/28 18:47:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:47:49 - mmengine - INFO - Epoch(val) [67][20/310] eta: 0:05:54 time: 1.109 data_time: 0.460 memory: 9746 2022/06/28 18:48:11 - mmengine - INFO - Epoch(val) [67][40/310] eta: 0:04:53 time: 1.090 data_time: 0.433 memory: 9746 2022/06/28 18:48:33 - mmengine - INFO - Epoch(val) [67][60/310] eta: 0:04:18 time: 1.048 data_time: 0.399 memory: 9746 2022/06/28 18:48:59 - mmengine - INFO - Epoch(val) [67][80/310] eta: 0:05:21 time: 1.113 data_time: 0.462 memory: 9746 2022/06/28 18:49:22 - mmengine - INFO - Epoch(val) [67][100/310] eta: 0:04:08 time: 2.654 data_time: 1.974 memory: 9746 2022/06/28 18:49:43 - mmengine - INFO - Epoch(val) [67][120/310] eta: 0:03:14 time: 1.106 data_time: 0.467 memory: 9746 2022/06/28 18:50:08 - mmengine - INFO - Epoch(val) [67][140/310] eta: 0:03:26 time: 1.000 data_time: 0.342 memory: 9746 2022/06/28 18:50:33 - mmengine - INFO - Epoch(val) [67][160/310] eta: 0:03:19 time: 3.916 data_time: 3.234 memory: 9746 2022/06/28 18:50:56 - mmengine - INFO - Epoch(val) [67][180/310] eta: 0:02:58 time: 1.203 data_time: 0.551 memory: 9746 2022/06/28 18:51:18 - mmengine - INFO - Epoch(val) [67][200/310] eta: 0:01:59 time: 1.137 data_time: 0.482 memory: 9746 2022/06/28 18:51:40 - mmengine - INFO - Epoch(val) [67][220/310] eta: 0:01:39 time: 1.221 data_time: 0.575 memory: 9746 2022/06/28 18:52:02 - mmengine - INFO - Epoch(val) [67][240/310] eta: 0:01:12 time: 1.079 data_time: 0.432 memory: 9746 2022/06/28 18:52:24 - mmengine - INFO - Epoch(val) [67][260/310] eta: 0:00:59 time: 0.925 data_time: 0.260 memory: 9746 2022/06/28 18:52:47 - mmengine - INFO - Epoch(val) [67][280/310] eta: 0:00:34 time: 2.665 data_time: 1.967 memory: 9746 2022/06/28 18:53:05 - mmengine - INFO - Epoch(val) [67][300/310] eta: 0:00:08 time: 0.686 data_time: 0.104 memory: 9746 2022/06/28 18:53:19 - mmengine - INFO - Epoch(val) [67][310/310] acc/top1: 0.7059 acc/top5: 0.8973 acc/mean1: 0.7059 2022/06/28 18:53:28 - mmengine - INFO - Epoch(train) [68][20/3757] lr: 1.000e-03 eta: 9:09:03 time: 0.212 data_time: 0.007 memory: 9746 grad_norm: 7.1286 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2620 loss: 1.2620 2022/06/28 18:53:33 - mmengine - INFO - Epoch(train) [68][40/3757] lr: 1.000e-03 eta: 9:08:58 time: 0.274 data_time: 0.011 memory: 5150 grad_norm: 8.5940 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4881 loss: 1.4881 2022/06/28 18:53:38 - mmengine - INFO - Epoch(train) [68][60/3757] lr: 1.000e-03 eta: 9:08:52 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.5220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2048 loss: 1.2048 2022/06/28 18:53:45 - mmengine - INFO - Epoch(train) [68][80/3757] lr: 1.000e-03 eta: 9:08:47 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.2461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5891 loss: 1.5891 2022/06/28 18:53:50 - mmengine - INFO - Epoch(train) [68][100/3757] lr: 1.000e-03 eta: 9:08:42 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.2820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5640 loss: 1.5640 2022/06/28 18:53:54 - mmengine - INFO - Epoch(train) [68][120/3757] lr: 1.000e-03 eta: 9:08:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.2154 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6133 loss: 1.6133 2022/06/28 18:54:00 - mmengine - INFO - Epoch(train) [68][140/3757] lr: 1.000e-03 eta: 9:08:31 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.1273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1337 loss: 1.1337 2022/06/28 18:54:06 - mmengine - INFO - Epoch(train) [68][160/3757] lr: 1.000e-03 eta: 9:08:26 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.5962 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3306 loss: 1.3306 2022/06/28 18:54:11 - mmengine - INFO - Epoch(train) [68][180/3757] lr: 1.000e-03 eta: 9:08:20 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.2756 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/06/28 18:54:16 - mmengine - INFO - Epoch(train) [68][200/3757] lr: 1.000e-03 eta: 9:08:15 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.9397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9651 loss: 0.9651 2022/06/28 18:54:22 - mmengine - INFO - Epoch(train) [68][220/3757] lr: 1.000e-03 eta: 9:08:10 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.8419 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7039 loss: 1.7039 2022/06/28 18:54:28 - mmengine - INFO - Epoch(train) [68][240/3757] lr: 1.000e-03 eta: 9:08:05 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.7521 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2859 loss: 1.2859 2022/06/28 18:54:32 - mmengine - INFO - Epoch(train) [68][260/3757] lr: 1.000e-03 eta: 9:07:59 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 7.1967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2227 loss: 1.2227 2022/06/28 18:54:39 - mmengine - INFO - Epoch(train) [68][280/3757] lr: 1.000e-03 eta: 9:07:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.7806 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2785 loss: 1.2785 2022/06/28 18:54:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:54:47 - mmengine - INFO - Epoch(train) [68][300/3757] lr: 1.000e-03 eta: 9:07:50 time: 0.201 data_time: 0.025 memory: 5150 grad_norm: 8.3687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3468 loss: 1.3468 2022/06/28 18:54:51 - mmengine - INFO - Epoch(train) [68][320/3757] lr: 1.000e-03 eta: 9:07:45 time: 0.354 data_time: 0.007 memory: 5150 grad_norm: 7.0825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4231 loss: 1.4231 2022/06/28 18:54:57 - mmengine - INFO - Epoch(train) [68][340/3757] lr: 1.000e-03 eta: 9:07:40 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 7.6885 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9454 loss: 1.9454 2022/06/28 18:55:05 - mmengine - INFO - Epoch(train) [68][360/3757] lr: 1.000e-03 eta: 9:07:36 time: 1.115 data_time: 0.008 memory: 5150 grad_norm: 8.1312 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/28 18:55:11 - mmengine - INFO - Epoch(train) [68][380/3757] lr: 1.000e-03 eta: 9:07:30 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.3440 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3382 loss: 1.3382 2022/06/28 18:55:15 - mmengine - INFO - Epoch(train) [68][400/3757] lr: 1.000e-03 eta: 9:07:25 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.2715 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4385 loss: 1.4385 2022/06/28 18:55:20 - mmengine - INFO - Epoch(train) [68][420/3757] lr: 1.000e-03 eta: 9:07:19 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.4788 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1979 loss: 1.1979 2022/06/28 18:55:26 - mmengine - INFO - Epoch(train) [68][440/3757] lr: 1.000e-03 eta: 9:07:14 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.6314 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2344 loss: 1.2344 2022/06/28 18:55:31 - mmengine - INFO - Epoch(train) [68][460/3757] lr: 1.000e-03 eta: 9:07:09 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.9801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3918 loss: 1.3918 2022/06/28 18:55:36 - mmengine - INFO - Epoch(train) [68][480/3757] lr: 1.000e-03 eta: 9:07:03 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 7.3504 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3096 loss: 1.3096 2022/06/28 18:55:42 - mmengine - INFO - Epoch(train) [68][500/3757] lr: 1.000e-03 eta: 9:06:58 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.7362 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/06/28 18:55:47 - mmengine - INFO - Epoch(train) [68][520/3757] lr: 1.000e-03 eta: 9:06:53 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.2573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/06/28 18:55:52 - mmengine - INFO - Epoch(train) [68][540/3757] lr: 1.000e-03 eta: 9:06:47 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 8.3827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5684 loss: 1.5684 2022/06/28 18:55:57 - mmengine - INFO - Epoch(train) [68][560/3757] lr: 1.000e-03 eta: 9:06:42 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 7.0917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1988 loss: 1.1988 2022/06/28 18:56:02 - mmengine - INFO - Epoch(train) [68][580/3757] lr: 1.000e-03 eta: 9:06:36 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.2842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6773 loss: 1.6773 2022/06/28 18:56:08 - mmengine - INFO - Epoch(train) [68][600/3757] lr: 1.000e-03 eta: 9:06:32 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.7002 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4221 loss: 1.4221 2022/06/28 18:56:14 - mmengine - INFO - Epoch(train) [68][620/3757] lr: 1.000e-03 eta: 9:06:26 time: 0.835 data_time: 0.009 memory: 5150 grad_norm: 7.5676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/06/28 18:56:19 - mmengine - INFO - Epoch(train) [68][640/3757] lr: 1.000e-03 eta: 9:06:21 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.6146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/06/28 18:56:25 - mmengine - INFO - Epoch(train) [68][660/3757] lr: 1.000e-03 eta: 9:06:16 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 8.1503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/06/28 18:56:29 - mmengine - INFO - Epoch(train) [68][680/3757] lr: 1.000e-03 eta: 9:06:10 time: 0.714 data_time: 0.008 memory: 5150 grad_norm: 7.2155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2622 loss: 1.2622 2022/06/28 18:56:34 - mmengine - INFO - Epoch(train) [68][700/3757] lr: 1.000e-03 eta: 9:06:05 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.2558 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1118 loss: 1.1118 2022/06/28 18:56:40 - mmengine - INFO - Epoch(train) [68][720/3757] lr: 1.000e-03 eta: 9:05:59 time: 0.218 data_time: 0.036 memory: 5150 grad_norm: 8.6804 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3019 loss: 1.3019 2022/06/28 18:56:45 - mmengine - INFO - Epoch(train) [68][740/3757] lr: 1.000e-03 eta: 9:05:54 time: 0.620 data_time: 0.008 memory: 5150 grad_norm: 6.4394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/06/28 18:56:50 - mmengine - INFO - Epoch(train) [68][760/3757] lr: 1.000e-03 eta: 9:05:49 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 6.9563 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5327 loss: 1.5327 2022/06/28 18:56:56 - mmengine - INFO - Epoch(train) [68][780/3757] lr: 1.000e-03 eta: 9:05:43 time: 0.926 data_time: 0.756 memory: 5150 grad_norm: 7.6820 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2302 loss: 1.2302 2022/06/28 18:57:01 - mmengine - INFO - Epoch(train) [68][800/3757] lr: 1.000e-03 eta: 9:05:38 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.1920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5740 loss: 1.5740 2022/06/28 18:57:06 - mmengine - INFO - Epoch(train) [68][820/3757] lr: 1.000e-03 eta: 9:05:33 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.6004 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5477 loss: 1.5477 2022/06/28 18:57:11 - mmengine - INFO - Epoch(train) [68][840/3757] lr: 1.000e-03 eta: 9:05:27 time: 0.662 data_time: 0.484 memory: 5150 grad_norm: 8.1962 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6498 loss: 1.6498 2022/06/28 18:57:19 - mmengine - INFO - Epoch(train) [68][860/3757] lr: 1.000e-03 eta: 9:05:23 time: 2.264 data_time: 0.007 memory: 5150 grad_norm: 7.5401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4385 loss: 1.4385 2022/06/28 18:57:32 - mmengine - INFO - Epoch(train) [68][880/3757] lr: 1.000e-03 eta: 9:05:21 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.8536 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7873 loss: 1.7873 2022/06/28 18:57:38 - mmengine - INFO - Epoch(train) [68][900/3757] lr: 1.000e-03 eta: 9:05:17 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 8.3045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/06/28 18:57:43 - mmengine - INFO - Epoch(train) [68][920/3757] lr: 1.000e-03 eta: 9:05:11 time: 0.227 data_time: 0.044 memory: 5150 grad_norm: 6.8585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0990 loss: 1.0990 2022/06/28 18:57:49 - mmengine - INFO - Epoch(train) [68][940/3757] lr: 1.000e-03 eta: 9:05:06 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 8.6546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6026 loss: 1.6026 2022/06/28 18:57:54 - mmengine - INFO - Epoch(train) [68][960/3757] lr: 1.000e-03 eta: 9:05:00 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 9.4888 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4746 loss: 1.4746 2022/06/28 18:57:59 - mmengine - INFO - Epoch(train) [68][980/3757] lr: 1.000e-03 eta: 9:04:55 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 8.7936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/06/28 18:58:04 - mmengine - INFO - Epoch(train) [68][1000/3757] lr: 1.000e-03 eta: 9:04:50 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.6019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3738 loss: 1.3738 2022/06/28 18:58:09 - mmengine - INFO - Epoch(train) [68][1020/3757] lr: 1.000e-03 eta: 9:04:44 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 7.4341 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7086 loss: 1.7086 2022/06/28 18:58:15 - mmengine - INFO - Epoch(train) [68][1040/3757] lr: 1.000e-03 eta: 9:04:39 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 6.7661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/06/28 18:58:20 - mmengine - INFO - Epoch(train) [68][1060/3757] lr: 1.000e-03 eta: 9:04:34 time: 0.196 data_time: 0.016 memory: 5150 grad_norm: 9.0288 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2918 loss: 1.2918 2022/06/28 18:58:27 - mmengine - INFO - Epoch(train) [68][1080/3757] lr: 1.000e-03 eta: 9:04:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.9737 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2990 loss: 1.2990 2022/06/28 18:58:31 - mmengine - INFO - Epoch(train) [68][1100/3757] lr: 1.000e-03 eta: 9:04:23 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.6250 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4962 loss: 1.4962 2022/06/28 18:58:35 - mmengine - INFO - Epoch(train) [68][1120/3757] lr: 1.000e-03 eta: 9:04:17 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.5903 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5089 loss: 1.5089 2022/06/28 18:58:41 - mmengine - INFO - Epoch(train) [68][1140/3757] lr: 1.000e-03 eta: 9:04:12 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 8.0827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2905 loss: 1.2905 2022/06/28 18:58:46 - mmengine - INFO - Epoch(train) [68][1160/3757] lr: 1.000e-03 eta: 9:04:07 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 7.4600 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1410 loss: 1.1410 2022/06/28 18:58:51 - mmengine - INFO - Epoch(train) [68][1180/3757] lr: 1.000e-03 eta: 9:04:01 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.3087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2170 loss: 1.2170 2022/06/28 18:58:56 - mmengine - INFO - Epoch(train) [68][1200/3757] lr: 1.000e-03 eta: 9:03:56 time: 0.347 data_time: 0.010 memory: 5150 grad_norm: 9.3445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5043 loss: 1.5043 2022/06/28 18:59:02 - mmengine - INFO - Epoch(train) [68][1220/3757] lr: 1.000e-03 eta: 9:03:51 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.9014 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6152 loss: 1.6152 2022/06/28 18:59:07 - mmengine - INFO - Epoch(train) [68][1240/3757] lr: 1.000e-03 eta: 9:03:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.7538 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1050 loss: 1.1050 2022/06/28 18:59:13 - mmengine - INFO - Epoch(train) [68][1260/3757] lr: 1.000e-03 eta: 9:03:40 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.2324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0085 loss: 2.0085 2022/06/28 18:59:19 - mmengine - INFO - Epoch(train) [68][1280/3757] lr: 1.000e-03 eta: 9:03:35 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.9066 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4531 loss: 1.4531 2022/06/28 18:59:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 18:59:24 - mmengine - INFO - Epoch(train) [68][1300/3757] lr: 1.000e-03 eta: 9:03:30 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.5307 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3528 loss: 1.3528 2022/06/28 18:59:29 - mmengine - INFO - Epoch(train) [68][1320/3757] lr: 1.000e-03 eta: 9:03:24 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.2082 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/06/28 18:59:35 - mmengine - INFO - Epoch(train) [68][1340/3757] lr: 1.000e-03 eta: 9:03:19 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.0893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1293 loss: 1.1293 2022/06/28 18:59:40 - mmengine - INFO - Epoch(train) [68][1360/3757] lr: 1.000e-03 eta: 9:03:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9851 loss: 0.9851 2022/06/28 18:59:46 - mmengine - INFO - Epoch(train) [68][1380/3757] lr: 1.000e-03 eta: 9:03:09 time: 0.252 data_time: 0.007 memory: 5150 grad_norm: 7.6114 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4335 loss: 1.4335 2022/06/28 18:59:51 - mmengine - INFO - Epoch(train) [68][1400/3757] lr: 1.000e-03 eta: 9:03:03 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.3011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5021 loss: 1.5021 2022/06/28 18:59:55 - mmengine - INFO - Epoch(train) [68][1420/3757] lr: 1.000e-03 eta: 9:02:58 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4890 loss: 1.4890 2022/06/28 19:00:00 - mmengine - INFO - Epoch(train) [68][1440/3757] lr: 1.000e-03 eta: 9:02:52 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 9.2211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6493 loss: 1.6493 2022/06/28 19:00:11 - mmengine - INFO - Epoch(train) [68][1460/3757] lr: 1.000e-03 eta: 9:02:49 time: 4.140 data_time: 0.014 memory: 5150 grad_norm: 8.0032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0775 loss: 1.0775 2022/06/28 19:00:15 - mmengine - INFO - Epoch(train) [68][1480/3757] lr: 1.000e-03 eta: 9:02:44 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 7.5450 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4177 loss: 1.4177 2022/06/28 19:00:21 - mmengine - INFO - Epoch(train) [68][1500/3757] lr: 1.000e-03 eta: 9:02:39 time: 0.224 data_time: 0.020 memory: 5150 grad_norm: 8.0880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2390 loss: 1.2390 2022/06/28 19:00:26 - mmengine - INFO - Epoch(train) [68][1520/3757] lr: 1.000e-03 eta: 9:02:33 time: 0.227 data_time: 0.038 memory: 5150 grad_norm: 9.0864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3105 loss: 1.3105 2022/06/28 19:00:31 - mmengine - INFO - Epoch(train) [68][1540/3757] lr: 1.000e-03 eta: 9:02:27 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.5484 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3808 loss: 1.3808 2022/06/28 19:00:36 - mmengine - INFO - Epoch(train) [68][1560/3757] lr: 1.000e-03 eta: 9:02:22 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.7163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0463 loss: 1.0463 2022/06/28 19:00:41 - mmengine - INFO - Epoch(train) [68][1580/3757] lr: 1.000e-03 eta: 9:02:17 time: 0.905 data_time: 0.008 memory: 5150 grad_norm: 8.4427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2975 loss: 1.2975 2022/06/28 19:00:46 - mmengine - INFO - Epoch(train) [68][1600/3757] lr: 1.000e-03 eta: 9:02:11 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.7740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4410 loss: 1.4410 2022/06/28 19:00:52 - mmengine - INFO - Epoch(train) [68][1620/3757] lr: 1.000e-03 eta: 9:02:06 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 9.7673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8729 loss: 1.8729 2022/06/28 19:00:58 - mmengine - INFO - Epoch(train) [68][1640/3757] lr: 1.000e-03 eta: 9:02:01 time: 0.603 data_time: 0.007 memory: 5150 grad_norm: 8.9619 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9772 loss: 0.9772 2022/06/28 19:01:03 - mmengine - INFO - Epoch(train) [68][1660/3757] lr: 1.000e-03 eta: 9:01:56 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.3419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/06/28 19:01:09 - mmengine - INFO - Epoch(train) [68][1680/3757] lr: 1.000e-03 eta: 9:01:50 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.8665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4975 loss: 1.4975 2022/06/28 19:01:14 - mmengine - INFO - Epoch(train) [68][1700/3757] lr: 1.000e-03 eta: 9:01:45 time: 0.982 data_time: 0.007 memory: 5150 grad_norm: 7.2383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3392 loss: 1.3392 2022/06/28 19:01:19 - mmengine - INFO - Epoch(train) [68][1720/3757] lr: 1.000e-03 eta: 9:01:40 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 8.8104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3322 loss: 1.3322 2022/06/28 19:01:25 - mmengine - INFO - Epoch(train) [68][1740/3757] lr: 1.000e-03 eta: 9:01:35 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 7.7744 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2504 loss: 1.2504 2022/06/28 19:01:30 - mmengine - INFO - Epoch(train) [68][1760/3757] lr: 1.000e-03 eta: 9:01:29 time: 0.234 data_time: 0.009 memory: 5150 grad_norm: 7.7568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3876 loss: 1.3876 2022/06/28 19:01:36 - mmengine - INFO - Epoch(train) [68][1780/3757] lr: 1.000e-03 eta: 9:01:24 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.6220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2633 loss: 1.2633 2022/06/28 19:01:41 - mmengine - INFO - Epoch(train) [68][1800/3757] lr: 1.000e-03 eta: 9:01:19 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 7.5284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0675 loss: 1.0675 2022/06/28 19:01:48 - mmengine - INFO - Epoch(train) [68][1820/3757] lr: 1.000e-03 eta: 9:01:14 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 6.7404 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1899 loss: 1.1899 2022/06/28 19:01:54 - mmengine - INFO - Epoch(train) [68][1840/3757] lr: 1.000e-03 eta: 9:01:09 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.7898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5813 loss: 1.5813 2022/06/28 19:02:04 - mmengine - INFO - Epoch(train) [68][1860/3757] lr: 1.000e-03 eta: 9:01:06 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.4811 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3112 loss: 1.3112 2022/06/28 19:02:08 - mmengine - INFO - Epoch(train) [68][1880/3757] lr: 1.000e-03 eta: 9:01:00 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 7.9425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2513 loss: 1.2513 2022/06/28 19:02:12 - mmengine - INFO - Epoch(train) [68][1900/3757] lr: 1.000e-03 eta: 9:00:54 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.5943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2819 loss: 1.2819 2022/06/28 19:02:18 - mmengine - INFO - Epoch(train) [68][1920/3757] lr: 1.000e-03 eta: 9:00:49 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2163 loss: 1.2163 2022/06/28 19:02:23 - mmengine - INFO - Epoch(train) [68][1940/3757] lr: 1.000e-03 eta: 9:00:44 time: 0.302 data_time: 0.014 memory: 5150 grad_norm: 8.1771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/06/28 19:02:28 - mmengine - INFO - Epoch(train) [68][1960/3757] lr: 1.000e-03 eta: 9:00:38 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.8410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2659 loss: 1.2659 2022/06/28 19:02:33 - mmengine - INFO - Epoch(train) [68][1980/3757] lr: 1.000e-03 eta: 9:00:33 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.5024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/06/28 19:02:39 - mmengine - INFO - Epoch(train) [68][2000/3757] lr: 1.000e-03 eta: 9:00:28 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1108 loss: 1.1108 2022/06/28 19:02:45 - mmengine - INFO - Epoch(train) [68][2020/3757] lr: 1.000e-03 eta: 9:00:23 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 6.8214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2376 loss: 1.2376 2022/06/28 19:02:51 - mmengine - INFO - Epoch(train) [68][2040/3757] lr: 1.000e-03 eta: 9:00:18 time: 0.503 data_time: 0.008 memory: 5150 grad_norm: 7.8880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2550 loss: 1.2550 2022/06/28 19:02:59 - mmengine - INFO - Epoch(train) [68][2060/3757] lr: 1.000e-03 eta: 9:00:14 time: 0.219 data_time: 0.012 memory: 5150 grad_norm: 6.9033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/06/28 19:03:04 - mmengine - INFO - Epoch(train) [68][2080/3757] lr: 1.000e-03 eta: 9:00:08 time: 1.160 data_time: 0.020 memory: 5150 grad_norm: 7.7897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2680 loss: 1.2680 2022/06/28 19:03:09 - mmengine - INFO - Epoch(train) [68][2100/3757] lr: 1.000e-03 eta: 9:00:03 time: 0.211 data_time: 0.022 memory: 5150 grad_norm: 7.3909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8580 loss: 0.8580 2022/06/28 19:03:15 - mmengine - INFO - Epoch(train) [68][2120/3757] lr: 1.000e-03 eta: 8:59:58 time: 1.280 data_time: 0.010 memory: 5150 grad_norm: 6.9796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3308 loss: 1.3308 2022/06/28 19:03:20 - mmengine - INFO - Epoch(train) [68][2140/3757] lr: 1.000e-03 eta: 8:59:52 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 7.4086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3286 loss: 1.3286 2022/06/28 19:03:25 - mmengine - INFO - Epoch(train) [68][2160/3757] lr: 1.000e-03 eta: 8:59:47 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 5.7164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/06/28 19:03:30 - mmengine - INFO - Epoch(train) [68][2180/3757] lr: 1.000e-03 eta: 8:59:41 time: 0.849 data_time: 0.010 memory: 5150 grad_norm: 7.1357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/06/28 19:03:37 - mmengine - INFO - Epoch(train) [68][2200/3757] lr: 1.000e-03 eta: 8:59:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.4412 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3758 loss: 1.3758 2022/06/28 19:03:44 - mmengine - INFO - Epoch(train) [68][2220/3757] lr: 1.000e-03 eta: 8:59:32 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 8.7185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5434 loss: 1.5434 2022/06/28 19:03:48 - mmengine - INFO - Epoch(train) [68][2240/3757] lr: 1.000e-03 eta: 8:59:27 time: 0.214 data_time: 0.013 memory: 5150 grad_norm: 8.2047 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0965 loss: 1.0965 2022/06/28 19:03:53 - mmengine - INFO - Epoch(train) [68][2260/3757] lr: 1.000e-03 eta: 8:59:21 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.4408 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5645 loss: 1.5645 2022/06/28 19:03:59 - mmengine - INFO - Epoch(train) [68][2280/3757] lr: 1.000e-03 eta: 8:59:16 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.2006 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4013 loss: 1.4013 2022/06/28 19:03:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:04:05 - mmengine - INFO - Epoch(train) [68][2300/3757] lr: 1.000e-03 eta: 8:59:11 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 8.8477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6311 loss: 1.6311 2022/06/28 19:04:11 - mmengine - INFO - Epoch(train) [68][2320/3757] lr: 1.000e-03 eta: 8:59:06 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.2714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3952 loss: 1.3952 2022/06/28 19:04:16 - mmengine - INFO - Epoch(train) [68][2340/3757] lr: 1.000e-03 eta: 8:59:00 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 7.1248 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/06/28 19:04:21 - mmengine - INFO - Epoch(train) [68][2360/3757] lr: 1.000e-03 eta: 8:58:55 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 9.0103 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8396 loss: 1.8396 2022/06/28 19:04:27 - mmengine - INFO - Epoch(train) [68][2380/3757] lr: 1.000e-03 eta: 8:58:50 time: 0.913 data_time: 0.008 memory: 5150 grad_norm: 6.7263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3682 loss: 1.3682 2022/06/28 19:04:33 - mmengine - INFO - Epoch(train) [68][2400/3757] lr: 1.000e-03 eta: 8:58:45 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3394 loss: 1.3394 2022/06/28 19:04:38 - mmengine - INFO - Epoch(train) [68][2420/3757] lr: 1.000e-03 eta: 8:58:39 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 8.5907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1464 loss: 1.1464 2022/06/28 19:04:44 - mmengine - INFO - Epoch(train) [68][2440/3757] lr: 1.000e-03 eta: 8:58:34 time: 1.051 data_time: 0.007 memory: 5150 grad_norm: 7.5553 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2390 loss: 1.2390 2022/06/28 19:04:52 - mmengine - INFO - Epoch(train) [68][2460/3757] lr: 1.000e-03 eta: 8:58:30 time: 0.259 data_time: 0.015 memory: 5150 grad_norm: 8.4748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/06/28 19:04:56 - mmengine - INFO - Epoch(train) [68][2480/3757] lr: 1.000e-03 eta: 8:58:25 time: 0.197 data_time: 0.015 memory: 5150 grad_norm: 6.5895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3334 loss: 1.3334 2022/06/28 19:05:01 - mmengine - INFO - Epoch(train) [68][2500/3757] lr: 1.000e-03 eta: 8:58:19 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.3164 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5690 loss: 1.5690 2022/06/28 19:05:07 - mmengine - INFO - Epoch(train) [68][2520/3757] lr: 1.000e-03 eta: 8:58:14 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.4741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0221 loss: 1.0221 2022/06/28 19:05:12 - mmengine - INFO - Epoch(train) [68][2540/3757] lr: 1.000e-03 eta: 8:58:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.5924 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5949 loss: 1.5949 2022/06/28 19:05:18 - mmengine - INFO - Epoch(train) [68][2560/3757] lr: 1.000e-03 eta: 8:58:04 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 8.2374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2889 loss: 1.2889 2022/06/28 19:05:23 - mmengine - INFO - Epoch(train) [68][2580/3757] lr: 1.000e-03 eta: 8:57:58 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.8927 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1978 loss: 1.1978 2022/06/28 19:05:28 - mmengine - INFO - Epoch(train) [68][2600/3757] lr: 1.000e-03 eta: 8:57:52 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 7.8000 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/06/28 19:05:34 - mmengine - INFO - Epoch(train) [68][2620/3757] lr: 1.000e-03 eta: 8:57:48 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.0340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1115 loss: 1.1115 2022/06/28 19:05:40 - mmengine - INFO - Epoch(train) [68][2640/3757] lr: 1.000e-03 eta: 8:57:42 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 9.7612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4187 loss: 1.4187 2022/06/28 19:05:44 - mmengine - INFO - Epoch(train) [68][2660/3757] lr: 1.000e-03 eta: 8:57:37 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.9905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2545 loss: 1.2545 2022/06/28 19:05:50 - mmengine - INFO - Epoch(train) [68][2680/3757] lr: 1.000e-03 eta: 8:57:31 time: 0.224 data_time: 0.012 memory: 5150 grad_norm: 7.8648 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1253 loss: 1.1253 2022/06/28 19:05:55 - mmengine - INFO - Epoch(train) [68][2700/3757] lr: 1.000e-03 eta: 8:57:26 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 7.7032 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6235 loss: 1.6235 2022/06/28 19:05:59 - mmengine - INFO - Epoch(train) [68][2720/3757] lr: 1.000e-03 eta: 8:57:20 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.2074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/06/28 19:06:05 - mmengine - INFO - Epoch(train) [68][2740/3757] lr: 1.000e-03 eta: 8:57:15 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 7.0924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/06/28 19:06:11 - mmengine - INFO - Epoch(train) [68][2760/3757] lr: 1.000e-03 eta: 8:57:10 time: 0.192 data_time: 0.021 memory: 5150 grad_norm: 8.4260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/06/28 19:06:18 - mmengine - INFO - Epoch(train) [68][2780/3757] lr: 1.000e-03 eta: 8:57:05 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.1655 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6334 loss: 1.6334 2022/06/28 19:06:23 - mmengine - INFO - Epoch(train) [68][2800/3757] lr: 1.000e-03 eta: 8:57:00 time: 0.226 data_time: 0.024 memory: 5150 grad_norm: 8.1322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4891 loss: 1.4891 2022/06/28 19:06:28 - mmengine - INFO - Epoch(train) [68][2820/3757] lr: 1.000e-03 eta: 8:56:55 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 6.2532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4157 loss: 1.4157 2022/06/28 19:06:34 - mmengine - INFO - Epoch(train) [68][2840/3757] lr: 1.000e-03 eta: 8:56:50 time: 0.581 data_time: 0.007 memory: 5150 grad_norm: 8.2125 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4578 loss: 1.4578 2022/06/28 19:06:38 - mmengine - INFO - Epoch(train) [68][2860/3757] lr: 1.000e-03 eta: 8:56:44 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 8.6686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4251 loss: 1.4251 2022/06/28 19:06:49 - mmengine - INFO - Epoch(train) [68][2880/3757] lr: 1.000e-03 eta: 8:56:41 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.0541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2391 loss: 1.2391 2022/06/28 19:06:55 - mmengine - INFO - Epoch(train) [68][2900/3757] lr: 1.000e-03 eta: 8:56:36 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.6299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5724 loss: 1.5724 2022/06/28 19:07:00 - mmengine - INFO - Epoch(train) [68][2920/3757] lr: 1.000e-03 eta: 8:56:30 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.4288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4570 loss: 1.4570 2022/06/28 19:07:05 - mmengine - INFO - Epoch(train) [68][2940/3757] lr: 1.000e-03 eta: 8:56:25 time: 0.255 data_time: 0.011 memory: 5150 grad_norm: 7.0985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0775 loss: 1.0775 2022/06/28 19:07:10 - mmengine - INFO - Epoch(train) [68][2960/3757] lr: 1.000e-03 eta: 8:56:20 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 7.2305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4065 loss: 1.4065 2022/06/28 19:07:15 - mmengine - INFO - Epoch(train) [68][2980/3757] lr: 1.000e-03 eta: 8:56:14 time: 0.479 data_time: 0.008 memory: 5150 grad_norm: 6.6016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/06/28 19:07:21 - mmengine - INFO - Epoch(train) [68][3000/3757] lr: 1.000e-03 eta: 8:56:09 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 8.1346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2673 loss: 1.2673 2022/06/28 19:07:27 - mmengine - INFO - Epoch(train) [68][3020/3757] lr: 1.000e-03 eta: 8:56:04 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 9.0737 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4468 loss: 1.4468 2022/06/28 19:07:32 - mmengine - INFO - Epoch(train) [68][3040/3757] lr: 1.000e-03 eta: 8:55:59 time: 0.208 data_time: 0.039 memory: 5150 grad_norm: 8.3221 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9284 loss: 0.9284 2022/06/28 19:07:36 - mmengine - INFO - Epoch(train) [68][3060/3757] lr: 1.000e-03 eta: 8:55:53 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 7.7454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1369 loss: 1.1369 2022/06/28 19:07:46 - mmengine - INFO - Epoch(train) [68][3080/3757] lr: 1.000e-03 eta: 8:55:50 time: 2.947 data_time: 0.721 memory: 5150 grad_norm: 7.9007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4359 loss: 1.4359 2022/06/28 19:07:51 - mmengine - INFO - Epoch(train) [68][3100/3757] lr: 1.000e-03 eta: 8:55:44 time: 0.933 data_time: 0.008 memory: 5150 grad_norm: 8.0190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/06/28 19:07:57 - mmengine - INFO - Epoch(train) [68][3120/3757] lr: 1.000e-03 eta: 8:55:39 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.3262 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1079 loss: 1.1079 2022/06/28 19:08:03 - mmengine - INFO - Epoch(train) [68][3140/3757] lr: 1.000e-03 eta: 8:55:34 time: 0.229 data_time: 0.017 memory: 5150 grad_norm: 8.5102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3284 loss: 1.3284 2022/06/28 19:08:07 - mmengine - INFO - Epoch(train) [68][3160/3757] lr: 1.000e-03 eta: 8:55:28 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 8.6568 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2907 loss: 1.2907 2022/06/28 19:08:12 - mmengine - INFO - Epoch(train) [68][3180/3757] lr: 1.000e-03 eta: 8:55:23 time: 0.199 data_time: 0.030 memory: 5150 grad_norm: 6.5660 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3171 loss: 1.3171 2022/06/28 19:08:18 - mmengine - INFO - Epoch(train) [68][3200/3757] lr: 1.000e-03 eta: 8:55:18 time: 0.221 data_time: 0.013 memory: 5150 grad_norm: 7.2715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0005 loss: 1.0005 2022/06/28 19:08:23 - mmengine - INFO - Epoch(train) [68][3220/3757] lr: 1.000e-03 eta: 8:55:12 time: 0.238 data_time: 0.008 memory: 5150 grad_norm: 8.1886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4338 loss: 1.4338 2022/06/28 19:08:29 - mmengine - INFO - Epoch(train) [68][3240/3757] lr: 1.000e-03 eta: 8:55:07 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 7.1219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/06/28 19:08:34 - mmengine - INFO - Epoch(train) [68][3260/3757] lr: 1.000e-03 eta: 8:55:02 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 7.2541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4345 loss: 1.4345 2022/06/28 19:08:39 - mmengine - INFO - Epoch(train) [68][3280/3757] lr: 1.000e-03 eta: 8:54:56 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 7.6954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4244 loss: 1.4244 2022/06/28 19:08:40 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:08:45 - mmengine - INFO - Epoch(train) [68][3300/3757] lr: 1.000e-03 eta: 8:54:51 time: 0.215 data_time: 0.020 memory: 5150 grad_norm: 8.7878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/06/28 19:08:51 - mmengine - INFO - Epoch(train) [68][3320/3757] lr: 1.000e-03 eta: 8:54:46 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 8.3422 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/06/28 19:08:55 - mmengine - INFO - Epoch(train) [68][3340/3757] lr: 1.000e-03 eta: 8:54:41 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 7.5756 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3046 loss: 1.3046 2022/06/28 19:09:01 - mmengine - INFO - Epoch(train) [68][3360/3757] lr: 1.000e-03 eta: 8:54:35 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 7.7628 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2687 loss: 1.2687 2022/06/28 19:09:06 - mmengine - INFO - Epoch(train) [68][3380/3757] lr: 1.000e-03 eta: 8:54:30 time: 0.223 data_time: 0.016 memory: 5150 grad_norm: 6.9570 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4785 loss: 1.4785 2022/06/28 19:09:11 - mmengine - INFO - Epoch(train) [68][3400/3757] lr: 1.000e-03 eta: 8:54:25 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.5361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/06/28 19:09:17 - mmengine - INFO - Epoch(train) [68][3420/3757] lr: 1.000e-03 eta: 8:54:19 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.7947 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2204 loss: 1.2204 2022/06/28 19:09:21 - mmengine - INFO - Epoch(train) [68][3440/3757] lr: 1.000e-03 eta: 8:54:14 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 9.0242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8826 loss: 1.8826 2022/06/28 19:09:27 - mmengine - INFO - Epoch(train) [68][3460/3757] lr: 1.000e-03 eta: 8:54:08 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.0199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/06/28 19:09:32 - mmengine - INFO - Epoch(train) [68][3480/3757] lr: 1.000e-03 eta: 8:54:03 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.0639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2719 loss: 1.2719 2022/06/28 19:09:37 - mmengine - INFO - Epoch(train) [68][3500/3757] lr: 1.000e-03 eta: 8:53:58 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 8.6787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2208 loss: 1.2208 2022/06/28 19:09:43 - mmengine - INFO - Epoch(train) [68][3520/3757] lr: 1.000e-03 eta: 8:53:52 time: 0.264 data_time: 0.007 memory: 5150 grad_norm: 7.4009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5023 loss: 1.5023 2022/06/28 19:09:48 - mmengine - INFO - Epoch(train) [68][3540/3757] lr: 1.000e-03 eta: 8:53:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.4983 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1878 loss: 1.1878 2022/06/28 19:09:54 - mmengine - INFO - Epoch(train) [68][3560/3757] lr: 1.000e-03 eta: 8:53:42 time: 0.826 data_time: 0.651 memory: 5150 grad_norm: 9.3211 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0417 loss: 2.0417 2022/06/28 19:09:59 - mmengine - INFO - Epoch(train) [68][3580/3757] lr: 1.000e-03 eta: 8:53:37 time: 0.216 data_time: 0.009 memory: 5150 grad_norm: 8.1627 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4270 loss: 1.4270 2022/06/28 19:10:05 - mmengine - INFO - Epoch(train) [68][3600/3757] lr: 1.000e-03 eta: 8:53:31 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 8.1720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2627 loss: 1.2627 2022/06/28 19:10:11 - mmengine - INFO - Epoch(train) [68][3620/3757] lr: 1.000e-03 eta: 8:53:26 time: 1.268 data_time: 1.099 memory: 5150 grad_norm: 8.4324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/06/28 19:10:16 - mmengine - INFO - Epoch(train) [68][3640/3757] lr: 1.000e-03 eta: 8:53:21 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.0788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5184 loss: 1.5184 2022/06/28 19:10:22 - mmengine - INFO - Epoch(train) [68][3660/3757] lr: 1.000e-03 eta: 8:53:16 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.5697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4513 loss: 1.4513 2022/06/28 19:10:28 - mmengine - INFO - Epoch(train) [68][3680/3757] lr: 1.000e-03 eta: 8:53:11 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 6.6396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/28 19:10:32 - mmengine - INFO - Epoch(train) [68][3700/3757] lr: 1.000e-03 eta: 8:53:05 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.3282 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/06/28 19:10:37 - mmengine - INFO - Epoch(train) [68][3720/3757] lr: 1.000e-03 eta: 8:53:00 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.8584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8902 loss: 0.8902 2022/06/28 19:10:43 - mmengine - INFO - Epoch(train) [68][3740/3757] lr: 1.000e-03 eta: 8:52:54 time: 0.597 data_time: 0.427 memory: 5150 grad_norm: 9.1643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3376 loss: 1.3376 2022/06/28 19:10:46 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:11:19 - mmengine - INFO - Epoch(val) [68][20/310] eta: 0:05:25 time: 1.002 data_time: 0.355 memory: 9746 2022/06/28 19:11:41 - mmengine - INFO - Epoch(val) [68][40/310] eta: 0:04:52 time: 1.015 data_time: 0.360 memory: 9746 2022/06/28 19:12:06 - mmengine - INFO - Epoch(val) [68][60/310] eta: 0:04:32 time: 1.129 data_time: 0.389 memory: 9746 2022/06/28 19:12:29 - mmengine - INFO - Epoch(val) [68][80/310] eta: 0:04:59 time: 1.062 data_time: 0.414 memory: 9746 2022/06/28 19:12:53 - mmengine - INFO - Epoch(val) [68][100/310] eta: 0:04:17 time: 2.912 data_time: 2.238 memory: 9746 2022/06/28 19:13:15 - mmengine - INFO - Epoch(val) [68][120/310] eta: 0:03:26 time: 1.177 data_time: 0.532 memory: 9746 2022/06/28 19:13:39 - mmengine - INFO - Epoch(val) [68][140/310] eta: 0:03:20 time: 1.082 data_time: 0.436 memory: 9746 2022/06/28 19:14:04 - mmengine - INFO - Epoch(val) [68][160/310] eta: 0:03:13 time: 3.177 data_time: 2.524 memory: 9746 2022/06/28 19:14:27 - mmengine - INFO - Epoch(val) [68][180/310] eta: 0:02:44 time: 1.101 data_time: 0.458 memory: 9746 2022/06/28 19:14:48 - mmengine - INFO - Epoch(val) [68][200/310] eta: 0:01:59 time: 1.071 data_time: 0.429 memory: 9746 2022/06/28 19:15:09 - mmengine - INFO - Epoch(val) [68][220/310] eta: 0:01:34 time: 1.313 data_time: 0.677 memory: 9746 2022/06/28 19:15:29 - mmengine - INFO - Epoch(val) [68][240/310] eta: 0:01:15 time: 0.909 data_time: 0.281 memory: 9746 2022/06/28 19:15:53 - mmengine - INFO - Epoch(val) [68][260/310] eta: 0:01:02 time: 1.050 data_time: 0.391 memory: 9746 2022/06/28 19:16:16 - mmengine - INFO - Epoch(val) [68][280/310] eta: 0:00:34 time: 2.102 data_time: 1.450 memory: 9746 2022/06/28 19:16:35 - mmengine - INFO - Epoch(val) [68][300/310] eta: 0:00:08 time: 0.642 data_time: 0.073 memory: 9746 2022/06/28 19:16:48 - mmengine - INFO - Epoch(val) [68][310/310] acc/top1: 0.7088 acc/top5: 0.8993 acc/mean1: 0.7087 2022/06/28 19:16:57 - mmengine - INFO - Epoch(train) [69][20/3757] lr: 1.000e-03 eta: 8:52:45 time: 0.199 data_time: 0.010 memory: 9746 grad_norm: 6.7347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2478 loss: 1.2478 2022/06/28 19:17:03 - mmengine - INFO - Epoch(train) [69][40/3757] lr: 1.000e-03 eta: 8:52:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.3845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2441 loss: 1.2441 2022/06/28 19:17:08 - mmengine - INFO - Epoch(train) [69][60/3757] lr: 1.000e-03 eta: 8:52:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.3948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9838 loss: 0.9838 2022/06/28 19:17:13 - mmengine - INFO - Epoch(train) [69][80/3757] lr: 1.000e-03 eta: 8:52:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.8088 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3071 loss: 1.3071 2022/06/28 19:17:19 - mmengine - INFO - Epoch(train) [69][100/3757] lr: 1.000e-03 eta: 8:52:24 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.4319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9633 loss: 0.9633 2022/06/28 19:17:24 - mmengine - INFO - Epoch(train) [69][120/3757] lr: 1.000e-03 eta: 8:52:18 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 10.5278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4557 loss: 1.4557 2022/06/28 19:17:30 - mmengine - INFO - Epoch(train) [69][140/3757] lr: 1.000e-03 eta: 8:52:13 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.7318 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1990 loss: 1.1990 2022/06/28 19:17:35 - mmengine - INFO - Epoch(train) [69][160/3757] lr: 1.000e-03 eta: 8:52:08 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.2813 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/06/28 19:17:40 - mmengine - INFO - Epoch(train) [69][180/3757] lr: 1.000e-03 eta: 8:52:03 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.6923 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/06/28 19:17:46 - mmengine - INFO - Epoch(train) [69][200/3757] lr: 1.000e-03 eta: 8:51:58 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7637 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2237 loss: 1.2237 2022/06/28 19:17:53 - mmengine - INFO - Epoch(train) [69][220/3757] lr: 1.000e-03 eta: 8:51:53 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.2087 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4986 loss: 1.4986 2022/06/28 19:17:58 - mmengine - INFO - Epoch(train) [69][240/3757] lr: 1.000e-03 eta: 8:51:47 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.6401 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/28 19:18:08 - mmengine - INFO - Epoch(train) [69][260/3757] lr: 1.000e-03 eta: 8:51:44 time: 0.201 data_time: 0.016 memory: 5150 grad_norm: 8.2282 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.3646 loss: 1.3646 2022/06/28 19:18:13 - mmengine - INFO - Epoch(train) [69][280/3757] lr: 1.000e-03 eta: 8:51:39 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 8.5211 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3990 loss: 1.3990 2022/06/28 19:18:20 - mmengine - INFO - Epoch(train) [69][300/3757] lr: 1.000e-03 eta: 8:51:34 time: 0.695 data_time: 0.517 memory: 5150 grad_norm: 8.6436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3092 loss: 1.3092 2022/06/28 19:18:27 - mmengine - INFO - Epoch(train) [69][320/3757] lr: 1.000e-03 eta: 8:51:30 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 7.0764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/06/28 19:18:31 - mmengine - INFO - Epoch(train) [69][340/3757] lr: 1.000e-03 eta: 8:51:24 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 7.2718 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2967 loss: 1.2967 2022/06/28 19:18:38 - mmengine - INFO - Epoch(train) [69][360/3757] lr: 1.000e-03 eta: 8:51:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.7679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/06/28 19:18:42 - mmengine - INFO - Epoch(train) [69][380/3757] lr: 1.000e-03 eta: 8:51:14 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 7.5685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2651 loss: 1.2651 2022/06/28 19:18:49 - mmengine - INFO - Epoch(train) [69][400/3757] lr: 1.000e-03 eta: 8:51:09 time: 1.505 data_time: 0.007 memory: 5150 grad_norm: 6.7322 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2181 loss: 1.2181 2022/06/28 19:18:55 - mmengine - INFO - Epoch(train) [69][420/3757] lr: 1.000e-03 eta: 8:51:04 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.5458 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2424 loss: 1.2424 2022/06/28 19:19:00 - mmengine - INFO - Epoch(train) [69][440/3757] lr: 1.000e-03 eta: 8:50:58 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 8.1215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2297 loss: 1.2297 2022/06/28 19:19:06 - mmengine - INFO - Epoch(train) [69][460/3757] lr: 1.000e-03 eta: 8:50:54 time: 0.222 data_time: 0.023 memory: 5150 grad_norm: 7.4167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1942 loss: 1.1942 2022/06/28 19:19:11 - mmengine - INFO - Epoch(train) [69][480/3757] lr: 1.000e-03 eta: 8:50:48 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.8213 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1861 loss: 1.1861 2022/06/28 19:19:15 - mmengine - INFO - Epoch(train) [69][500/3757] lr: 1.000e-03 eta: 8:50:42 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.1079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0325 loss: 1.0325 2022/06/28 19:19:20 - mmengine - INFO - Epoch(train) [69][520/3757] lr: 1.000e-03 eta: 8:50:36 time: 0.242 data_time: 0.010 memory: 5150 grad_norm: 7.1931 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2452 loss: 1.2452 2022/06/28 19:19:21 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:19:25 - mmengine - INFO - Epoch(train) [69][540/3757] lr: 1.000e-03 eta: 8:50:31 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 7.2993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2215 loss: 1.2215 2022/06/28 19:19:31 - mmengine - INFO - Epoch(train) [69][560/3757] lr: 1.000e-03 eta: 8:50:26 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 7.3910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3077 loss: 1.3077 2022/06/28 19:19:37 - mmengine - INFO - Epoch(train) [69][580/3757] lr: 1.000e-03 eta: 8:50:21 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 7.7918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2663 loss: 1.2663 2022/06/28 19:19:42 - mmengine - INFO - Epoch(train) [69][600/3757] lr: 1.000e-03 eta: 8:50:16 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 7.8749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/06/28 19:19:47 - mmengine - INFO - Epoch(train) [69][620/3757] lr: 1.000e-03 eta: 8:50:10 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.3186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4043 loss: 1.4043 2022/06/28 19:19:53 - mmengine - INFO - Epoch(train) [69][640/3757] lr: 1.000e-03 eta: 8:50:05 time: 0.525 data_time: 0.006 memory: 5150 grad_norm: 9.6509 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7427 loss: 1.7427 2022/06/28 19:19:58 - mmengine - INFO - Epoch(train) [69][660/3757] lr: 1.000e-03 eta: 8:50:00 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.9539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2751 loss: 1.2751 2022/06/28 19:20:04 - mmengine - INFO - Epoch(train) [69][680/3757] lr: 1.000e-03 eta: 8:49:54 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 6.8006 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/06/28 19:20:09 - mmengine - INFO - Epoch(train) [69][700/3757] lr: 1.000e-03 eta: 8:49:49 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.7549 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/06/28 19:20:14 - mmengine - INFO - Epoch(train) [69][720/3757] lr: 1.000e-03 eta: 8:49:44 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.7350 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3912 loss: 1.3912 2022/06/28 19:20:20 - mmengine - INFO - Epoch(train) [69][740/3757] lr: 1.000e-03 eta: 8:49:38 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 7.5343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/06/28 19:20:24 - mmengine - INFO - Epoch(train) [69][760/3757] lr: 1.000e-03 eta: 8:49:33 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 7.3129 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/06/28 19:20:30 - mmengine - INFO - Epoch(train) [69][780/3757] lr: 1.000e-03 eta: 8:49:28 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.0005 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2675 loss: 1.2675 2022/06/28 19:20:38 - mmengine - INFO - Epoch(train) [69][800/3757] lr: 1.000e-03 eta: 8:49:24 time: 1.285 data_time: 0.012 memory: 5150 grad_norm: 8.3395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/06/28 19:20:43 - mmengine - INFO - Epoch(train) [69][820/3757] lr: 1.000e-03 eta: 8:49:18 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.8987 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2600 loss: 1.2600 2022/06/28 19:20:49 - mmengine - INFO - Epoch(train) [69][840/3757] lr: 1.000e-03 eta: 8:49:13 time: 0.231 data_time: 0.015 memory: 5150 grad_norm: 7.6323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3921 loss: 1.3921 2022/06/28 19:20:54 - mmengine - INFO - Epoch(train) [69][860/3757] lr: 1.000e-03 eta: 8:49:08 time: 0.699 data_time: 0.007 memory: 5150 grad_norm: 9.4330 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0805 loss: 1.0805 2022/06/28 19:20:59 - mmengine - INFO - Epoch(train) [69][880/3757] lr: 1.000e-03 eta: 8:49:02 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 6.8629 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1079 loss: 1.1079 2022/06/28 19:21:04 - mmengine - INFO - Epoch(train) [69][900/3757] lr: 1.000e-03 eta: 8:48:57 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.0651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/06/28 19:21:10 - mmengine - INFO - Epoch(train) [69][920/3757] lr: 1.000e-03 eta: 8:48:52 time: 1.116 data_time: 0.008 memory: 5150 grad_norm: 6.9631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3151 loss: 1.3151 2022/06/28 19:21:15 - mmengine - INFO - Epoch(train) [69][940/3757] lr: 1.000e-03 eta: 8:48:46 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.3706 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4097 loss: 1.4097 2022/06/28 19:21:21 - mmengine - INFO - Epoch(train) [69][960/3757] lr: 1.000e-03 eta: 8:48:41 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.2332 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5993 loss: 1.5993 2022/06/28 19:21:26 - mmengine - INFO - Epoch(train) [69][980/3757] lr: 1.000e-03 eta: 8:48:36 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 7.1477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5034 loss: 1.5034 2022/06/28 19:21:32 - mmengine - INFO - Epoch(train) [69][1000/3757] lr: 1.000e-03 eta: 8:48:31 time: 0.310 data_time: 0.007 memory: 5150 grad_norm: 7.1497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2063 loss: 1.2063 2022/06/28 19:21:39 - mmengine - INFO - Epoch(train) [69][1020/3757] lr: 1.000e-03 eta: 8:48:26 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 7.7343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/06/28 19:21:47 - mmengine - INFO - Epoch(train) [69][1040/3757] lr: 1.000e-03 eta: 8:48:22 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.7227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3085 loss: 1.3085 2022/06/28 19:21:56 - mmengine - INFO - Epoch(train) [69][1060/3757] lr: 1.000e-03 eta: 8:48:18 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 8.7059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1122 loss: 2.1122 2022/06/28 19:22:01 - mmengine - INFO - Epoch(train) [69][1080/3757] lr: 1.000e-03 eta: 8:48:13 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.0801 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3642 loss: 1.3642 2022/06/28 19:22:07 - mmengine - INFO - Epoch(train) [69][1100/3757] lr: 1.000e-03 eta: 8:48:08 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.0147 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2176 loss: 1.2176 2022/06/28 19:22:13 - mmengine - INFO - Epoch(train) [69][1120/3757] lr: 1.000e-03 eta: 8:48:03 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 7.5746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3319 loss: 1.3319 2022/06/28 19:22:18 - mmengine - INFO - Epoch(train) [69][1140/3757] lr: 1.000e-03 eta: 8:47:58 time: 0.210 data_time: 0.041 memory: 5150 grad_norm: 8.6831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0882 loss: 1.0882 2022/06/28 19:22:23 - mmengine - INFO - Epoch(train) [69][1160/3757] lr: 1.000e-03 eta: 8:47:52 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 8.2897 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1106 loss: 1.1106 2022/06/28 19:22:28 - mmengine - INFO - Epoch(train) [69][1180/3757] lr: 1.000e-03 eta: 8:47:47 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.6266 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9304 loss: 1.9304 2022/06/28 19:22:34 - mmengine - INFO - Epoch(train) [69][1200/3757] lr: 1.000e-03 eta: 8:47:42 time: 0.213 data_time: 0.036 memory: 5150 grad_norm: 7.5148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/06/28 19:22:39 - mmengine - INFO - Epoch(train) [69][1220/3757] lr: 1.000e-03 eta: 8:47:36 time: 0.261 data_time: 0.007 memory: 5150 grad_norm: 9.1111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2824 loss: 1.2824 2022/06/28 19:22:45 - mmengine - INFO - Epoch(train) [69][1240/3757] lr: 1.000e-03 eta: 8:47:31 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.0178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1424 loss: 1.1424 2022/06/28 19:22:51 - mmengine - INFO - Epoch(train) [69][1260/3757] lr: 1.000e-03 eta: 8:47:26 time: 0.851 data_time: 0.032 memory: 5150 grad_norm: 6.5213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2713 loss: 1.2713 2022/06/28 19:22:56 - mmengine - INFO - Epoch(train) [69][1280/3757] lr: 1.000e-03 eta: 8:47:20 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 7.4322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4824 loss: 1.4824 2022/06/28 19:23:01 - mmengine - INFO - Epoch(train) [69][1300/3757] lr: 1.000e-03 eta: 8:47:15 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 8.4870 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/06/28 19:23:06 - mmengine - INFO - Epoch(train) [69][1320/3757] lr: 1.000e-03 eta: 8:47:09 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.1231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2989 loss: 1.2989 2022/06/28 19:23:11 - mmengine - INFO - Epoch(train) [69][1340/3757] lr: 1.000e-03 eta: 8:47:04 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 7.4219 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3430 loss: 1.3430 2022/06/28 19:23:17 - mmengine - INFO - Epoch(train) [69][1360/3757] lr: 1.000e-03 eta: 8:46:59 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 6.6703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1850 loss: 1.1850 2022/06/28 19:23:22 - mmengine - INFO - Epoch(train) [69][1380/3757] lr: 1.000e-03 eta: 8:46:54 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 8.0208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0783 loss: 1.0783 2022/06/28 19:23:29 - mmengine - INFO - Epoch(train) [69][1400/3757] lr: 1.000e-03 eta: 8:46:49 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.5892 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/06/28 19:23:33 - mmengine - INFO - Epoch(train) [69][1420/3757] lr: 1.000e-03 eta: 8:46:43 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.4481 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2144 loss: 1.2144 2022/06/28 19:23:37 - mmengine - INFO - Epoch(train) [69][1440/3757] lr: 1.000e-03 eta: 8:46:37 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 8.8540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3221 loss: 1.3221 2022/06/28 19:23:43 - mmengine - INFO - Epoch(train) [69][1460/3757] lr: 1.000e-03 eta: 8:46:32 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 7.6986 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2160 loss: 1.2160 2022/06/28 19:23:48 - mmengine - INFO - Epoch(train) [69][1480/3757] lr: 1.000e-03 eta: 8:46:27 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.6352 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3438 loss: 1.3438 2022/06/28 19:23:53 - mmengine - INFO - Epoch(train) [69][1500/3757] lr: 1.000e-03 eta: 8:46:21 time: 0.859 data_time: 0.687 memory: 5150 grad_norm: 8.3953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6086 loss: 1.6086 2022/06/28 19:23:58 - mmengine - INFO - Epoch(train) [69][1520/3757] lr: 1.000e-03 eta: 8:46:16 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.1497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/06/28 19:24:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:24:04 - mmengine - INFO - Epoch(train) [69][1540/3757] lr: 1.000e-03 eta: 8:46:11 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.2946 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3775 loss: 1.3775 2022/06/28 19:24:09 - mmengine - INFO - Epoch(train) [69][1560/3757] lr: 1.000e-03 eta: 8:46:05 time: 0.209 data_time: 0.023 memory: 5150 grad_norm: 7.9559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3707 loss: 1.3707 2022/06/28 19:24:15 - mmengine - INFO - Epoch(train) [69][1580/3757] lr: 1.000e-03 eta: 8:46:00 time: 1.202 data_time: 0.012 memory: 5150 grad_norm: 9.5157 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/06/28 19:24:20 - mmengine - INFO - Epoch(train) [69][1600/3757] lr: 1.000e-03 eta: 8:45:55 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 9.2333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6956 loss: 1.6956 2022/06/28 19:24:26 - mmengine - INFO - Epoch(train) [69][1620/3757] lr: 1.000e-03 eta: 8:45:50 time: 0.206 data_time: 0.018 memory: 5150 grad_norm: 8.9817 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0482 loss: 1.0482 2022/06/28 19:24:30 - mmengine - INFO - Epoch(train) [69][1640/3757] lr: 1.000e-03 eta: 8:45:44 time: 0.531 data_time: 0.008 memory: 5150 grad_norm: 8.5620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4067 loss: 1.4067 2022/06/28 19:24:36 - mmengine - INFO - Epoch(train) [69][1660/3757] lr: 1.000e-03 eta: 8:45:39 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.7175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1132 loss: 1.1132 2022/06/28 19:24:41 - mmengine - INFO - Epoch(train) [69][1680/3757] lr: 1.000e-03 eta: 8:45:34 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 10.2851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8847 loss: 1.8847 2022/06/28 19:24:47 - mmengine - INFO - Epoch(train) [69][1700/3757] lr: 1.000e-03 eta: 8:45:28 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 6.8027 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/06/28 19:24:54 - mmengine - INFO - Epoch(train) [69][1720/3757] lr: 1.000e-03 eta: 8:45:24 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 8.7733 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2748 loss: 1.2748 2022/06/28 19:24:59 - mmengine - INFO - Epoch(train) [69][1740/3757] lr: 1.000e-03 eta: 8:45:18 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 7.9746 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0050 loss: 1.0050 2022/06/28 19:25:05 - mmengine - INFO - Epoch(train) [69][1760/3757] lr: 1.000e-03 eta: 8:45:13 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.5620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4814 loss: 1.4814 2022/06/28 19:25:10 - mmengine - INFO - Epoch(train) [69][1780/3757] lr: 1.000e-03 eta: 8:45:08 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.7952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4152 loss: 1.4152 2022/06/28 19:25:15 - mmengine - INFO - Epoch(train) [69][1800/3757] lr: 1.000e-03 eta: 8:45:03 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 8.2616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4287 loss: 1.4287 2022/06/28 19:25:21 - mmengine - INFO - Epoch(train) [69][1820/3757] lr: 1.000e-03 eta: 8:44:57 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 7.5967 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6124 loss: 1.6124 2022/06/28 19:25:27 - mmengine - INFO - Epoch(train) [69][1840/3757] lr: 1.000e-03 eta: 8:44:52 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.0183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/06/28 19:25:31 - mmengine - INFO - Epoch(train) [69][1860/3757] lr: 1.000e-03 eta: 8:44:47 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.2492 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2466 loss: 1.2466 2022/06/28 19:25:36 - mmengine - INFO - Epoch(train) [69][1880/3757] lr: 1.000e-03 eta: 8:44:41 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 6.9241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4263 loss: 1.4263 2022/06/28 19:25:42 - mmengine - INFO - Epoch(train) [69][1900/3757] lr: 1.000e-03 eta: 8:44:36 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.9626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1619 loss: 1.1619 2022/06/28 19:25:47 - mmengine - INFO - Epoch(train) [69][1920/3757] lr: 1.000e-03 eta: 8:44:30 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.6361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3534 loss: 1.3534 2022/06/28 19:25:51 - mmengine - INFO - Epoch(train) [69][1940/3757] lr: 1.000e-03 eta: 8:44:25 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.7280 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4285 loss: 1.4285 2022/06/28 19:25:57 - mmengine - INFO - Epoch(train) [69][1960/3757] lr: 1.000e-03 eta: 8:44:20 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.0870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2134 loss: 1.2134 2022/06/28 19:26:03 - mmengine - INFO - Epoch(train) [69][1980/3757] lr: 1.000e-03 eta: 8:44:14 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.1636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3356 loss: 1.3356 2022/06/28 19:26:08 - mmengine - INFO - Epoch(train) [69][2000/3757] lr: 1.000e-03 eta: 8:44:09 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.9407 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4852 loss: 1.4852 2022/06/28 19:26:14 - mmengine - INFO - Epoch(train) [69][2020/3757] lr: 1.000e-03 eta: 8:44:04 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.1686 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0455 loss: 1.0455 2022/06/28 19:26:19 - mmengine - INFO - Epoch(train) [69][2040/3757] lr: 1.000e-03 eta: 8:43:59 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 10.0293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2364 loss: 1.2364 2022/06/28 19:26:24 - mmengine - INFO - Epoch(train) [69][2060/3757] lr: 1.000e-03 eta: 8:43:53 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.0467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3007 loss: 1.3007 2022/06/28 19:26:29 - mmengine - INFO - Epoch(train) [69][2080/3757] lr: 1.000e-03 eta: 8:43:48 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.8000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/06/28 19:26:35 - mmengine - INFO - Epoch(train) [69][2100/3757] lr: 1.000e-03 eta: 8:43:42 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.3434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/06/28 19:26:39 - mmengine - INFO - Epoch(train) [69][2120/3757] lr: 1.000e-03 eta: 8:43:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.9657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3493 loss: 1.3493 2022/06/28 19:26:45 - mmengine - INFO - Epoch(train) [69][2140/3757] lr: 1.000e-03 eta: 8:43:32 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.5445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/06/28 19:26:50 - mmengine - INFO - Epoch(train) [69][2160/3757] lr: 1.000e-03 eta: 8:43:26 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.3412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/06/28 19:26:55 - mmengine - INFO - Epoch(train) [69][2180/3757] lr: 1.000e-03 eta: 8:43:21 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.6403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4238 loss: 1.4238 2022/06/28 19:27:02 - mmengine - INFO - Epoch(train) [69][2200/3757] lr: 1.000e-03 eta: 8:43:16 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.7598 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1463 loss: 1.1463 2022/06/28 19:27:06 - mmengine - INFO - Epoch(train) [69][2220/3757] lr: 1.000e-03 eta: 8:43:10 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.1472 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3862 loss: 1.3862 2022/06/28 19:27:12 - mmengine - INFO - Epoch(train) [69][2240/3757] lr: 1.000e-03 eta: 8:43:05 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.9613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4122 loss: 1.4122 2022/06/28 19:27:18 - mmengine - INFO - Epoch(train) [69][2260/3757] lr: 1.000e-03 eta: 8:43:00 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.6454 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/06/28 19:27:23 - mmengine - INFO - Epoch(train) [69][2280/3757] lr: 1.000e-03 eta: 8:42:54 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.6779 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9889 loss: 0.9889 2022/06/28 19:27:28 - mmengine - INFO - Epoch(train) [69][2300/3757] lr: 1.000e-03 eta: 8:42:49 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.0162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/06/28 19:27:34 - mmengine - INFO - Epoch(train) [69][2320/3757] lr: 1.000e-03 eta: 8:42:44 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.4875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2270 loss: 1.2270 2022/06/28 19:27:39 - mmengine - INFO - Epoch(train) [69][2340/3757] lr: 1.000e-03 eta: 8:42:39 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.9609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4768 loss: 1.4768 2022/06/28 19:27:44 - mmengine - INFO - Epoch(train) [69][2360/3757] lr: 1.000e-03 eta: 8:42:33 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.5071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/06/28 19:27:50 - mmengine - INFO - Epoch(train) [69][2380/3757] lr: 1.000e-03 eta: 8:42:28 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 8.3921 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/06/28 19:27:55 - mmengine - INFO - Epoch(train) [69][2400/3757] lr: 1.000e-03 eta: 8:42:23 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 6.3067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/06/28 19:28:00 - mmengine - INFO - Epoch(train) [69][2420/3757] lr: 1.000e-03 eta: 8:42:17 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 8.5111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/06/28 19:28:05 - mmengine - INFO - Epoch(train) [69][2440/3757] lr: 1.000e-03 eta: 8:42:12 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 8.2225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2243 loss: 1.2243 2022/06/28 19:28:11 - mmengine - INFO - Epoch(train) [69][2460/3757] lr: 1.000e-03 eta: 8:42:07 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.9955 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6409 loss: 1.6409 2022/06/28 19:28:15 - mmengine - INFO - Epoch(train) [69][2480/3757] lr: 1.000e-03 eta: 8:42:01 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 7.4609 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1005 loss: 1.1005 2022/06/28 19:28:22 - mmengine - INFO - Epoch(train) [69][2500/3757] lr: 1.000e-03 eta: 8:41:56 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 8.1026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/06/28 19:28:27 - mmengine - INFO - Epoch(train) [69][2520/3757] lr: 1.000e-03 eta: 8:41:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.1011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2644 loss: 1.2644 2022/06/28 19:28:28 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:28:32 - mmengine - INFO - Epoch(train) [69][2540/3757] lr: 1.000e-03 eta: 8:41:45 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.2766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1963 loss: 1.1963 2022/06/28 19:28:38 - mmengine - INFO - Epoch(train) [69][2560/3757] lr: 1.000e-03 eta: 8:41:40 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.2381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0148 loss: 1.0148 2022/06/28 19:28:43 - mmengine - INFO - Epoch(train) [69][2580/3757] lr: 1.000e-03 eta: 8:41:35 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.4818 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4129 loss: 1.4129 2022/06/28 19:28:48 - mmengine - INFO - Epoch(train) [69][2600/3757] lr: 1.000e-03 eta: 8:41:29 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.3936 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/06/28 19:28:53 - mmengine - INFO - Epoch(train) [69][2620/3757] lr: 1.000e-03 eta: 8:41:24 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 5.8241 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1333 loss: 1.1333 2022/06/28 19:28:59 - mmengine - INFO - Epoch(train) [69][2640/3757] lr: 1.000e-03 eta: 8:41:19 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.6103 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3966 loss: 1.3966 2022/06/28 19:29:04 - mmengine - INFO - Epoch(train) [69][2660/3757] lr: 1.000e-03 eta: 8:41:13 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.5555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3828 loss: 1.3828 2022/06/28 19:29:15 - mmengine - INFO - Epoch(train) [69][2680/3757] lr: 1.000e-03 eta: 8:41:11 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 8.5312 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/06/28 19:29:20 - mmengine - INFO - Epoch(train) [69][2700/3757] lr: 1.000e-03 eta: 8:41:05 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.9926 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5075 loss: 1.5075 2022/06/28 19:29:24 - mmengine - INFO - Epoch(train) [69][2720/3757] lr: 1.000e-03 eta: 8:40:59 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 8.2359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2186 loss: 1.2186 2022/06/28 19:29:29 - mmengine - INFO - Epoch(train) [69][2740/3757] lr: 1.000e-03 eta: 8:40:54 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 6.8500 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/28 19:29:34 - mmengine - INFO - Epoch(train) [69][2760/3757] lr: 1.000e-03 eta: 8:40:48 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.7568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6767 loss: 1.6767 2022/06/28 19:29:40 - mmengine - INFO - Epoch(train) [69][2780/3757] lr: 1.000e-03 eta: 8:40:43 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.6353 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/06/28 19:29:45 - mmengine - INFO - Epoch(train) [69][2800/3757] lr: 1.000e-03 eta: 8:40:38 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.8288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0769 loss: 1.0769 2022/06/28 19:29:51 - mmengine - INFO - Epoch(train) [69][2820/3757] lr: 1.000e-03 eta: 8:40:33 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.8370 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3577 loss: 1.3577 2022/06/28 19:29:56 - mmengine - INFO - Epoch(train) [69][2840/3757] lr: 1.000e-03 eta: 8:40:27 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.1663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8286 loss: 1.8286 2022/06/28 19:30:02 - mmengine - INFO - Epoch(train) [69][2860/3757] lr: 1.000e-03 eta: 8:40:22 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 7.9119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4426 loss: 1.4426 2022/06/28 19:30:07 - mmengine - INFO - Epoch(train) [69][2880/3757] lr: 1.000e-03 eta: 8:40:17 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.8995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4919 loss: 1.4919 2022/06/28 19:30:14 - mmengine - INFO - Epoch(train) [69][2900/3757] lr: 1.000e-03 eta: 8:40:12 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.2830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6326 loss: 1.6326 2022/06/28 19:30:18 - mmengine - INFO - Epoch(train) [69][2920/3757] lr: 1.000e-03 eta: 8:40:06 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 8.5271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1991 loss: 1.1991 2022/06/28 19:30:23 - mmengine - INFO - Epoch(train) [69][2940/3757] lr: 1.000e-03 eta: 8:40:01 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.5878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5365 loss: 1.5365 2022/06/28 19:30:29 - mmengine - INFO - Epoch(train) [69][2960/3757] lr: 1.000e-03 eta: 8:39:56 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.3487 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7103 loss: 1.7103 2022/06/28 19:30:34 - mmengine - INFO - Epoch(train) [69][2980/3757] lr: 1.000e-03 eta: 8:39:50 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 8.5458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2809 loss: 1.2809 2022/06/28 19:30:39 - mmengine - INFO - Epoch(train) [69][3000/3757] lr: 1.000e-03 eta: 8:39:45 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.1031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3726 loss: 1.3726 2022/06/28 19:30:45 - mmengine - INFO - Epoch(train) [69][3020/3757] lr: 1.000e-03 eta: 8:39:40 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 6.8456 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9003 loss: 0.9003 2022/06/28 19:30:51 - mmengine - INFO - Epoch(train) [69][3040/3757] lr: 1.000e-03 eta: 8:39:35 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.7569 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/06/28 19:30:56 - mmengine - INFO - Epoch(train) [69][3060/3757] lr: 1.000e-03 eta: 8:39:29 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.0975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4423 loss: 1.4423 2022/06/28 19:31:02 - mmengine - INFO - Epoch(train) [69][3080/3757] lr: 1.000e-03 eta: 8:39:24 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.6421 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9022 loss: 1.9022 2022/06/28 19:31:07 - mmengine - INFO - Epoch(train) [69][3100/3757] lr: 1.000e-03 eta: 8:39:19 time: 0.679 data_time: 0.025 memory: 5150 grad_norm: 6.6774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/06/28 19:31:12 - mmengine - INFO - Epoch(train) [69][3120/3757] lr: 1.000e-03 eta: 8:39:13 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 6.9048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5345 loss: 1.5345 2022/06/28 19:31:18 - mmengine - INFO - Epoch(train) [69][3140/3757] lr: 1.000e-03 eta: 8:39:08 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.7399 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/06/28 19:31:22 - mmengine - INFO - Epoch(train) [69][3160/3757] lr: 1.000e-03 eta: 8:39:03 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 8.0758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/06/28 19:31:28 - mmengine - INFO - Epoch(train) [69][3180/3757] lr: 1.000e-03 eta: 8:38:57 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.0730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4162 loss: 1.4162 2022/06/28 19:31:35 - mmengine - INFO - Epoch(train) [69][3200/3757] lr: 1.000e-03 eta: 8:38:53 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.7328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2828 loss: 1.2828 2022/06/28 19:31:39 - mmengine - INFO - Epoch(train) [69][3220/3757] lr: 1.000e-03 eta: 8:38:47 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.4560 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7741 loss: 1.7741 2022/06/28 19:31:45 - mmengine - INFO - Epoch(train) [69][3240/3757] lr: 1.000e-03 eta: 8:38:42 time: 0.655 data_time: 0.013 memory: 5150 grad_norm: 8.0266 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2521 loss: 1.2521 2022/06/28 19:31:49 - mmengine - INFO - Epoch(train) [69][3260/3757] lr: 1.000e-03 eta: 8:38:36 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 7.3034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3323 loss: 1.3323 2022/06/28 19:31:56 - mmengine - INFO - Epoch(train) [69][3280/3757] lr: 1.000e-03 eta: 8:38:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.7977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4300 loss: 1.4300 2022/06/28 19:32:01 - mmengine - INFO - Epoch(train) [69][3300/3757] lr: 1.000e-03 eta: 8:38:26 time: 0.230 data_time: 0.008 memory: 5150 grad_norm: 7.5942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4218 loss: 1.4218 2022/06/28 19:32:05 - mmengine - INFO - Epoch(train) [69][3320/3757] lr: 1.000e-03 eta: 8:38:20 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.4675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5459 loss: 1.5459 2022/06/28 19:32:11 - mmengine - INFO - Epoch(train) [69][3340/3757] lr: 1.000e-03 eta: 8:38:15 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.6274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7259 loss: 1.7259 2022/06/28 19:32:17 - mmengine - INFO - Epoch(train) [69][3360/3757] lr: 1.000e-03 eta: 8:38:10 time: 1.472 data_time: 0.020 memory: 5150 grad_norm: 7.1977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3284 loss: 1.3284 2022/06/28 19:32:23 - mmengine - INFO - Epoch(train) [69][3380/3757] lr: 1.000e-03 eta: 8:38:05 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 7.8226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2010 loss: 1.2010 2022/06/28 19:32:28 - mmengine - INFO - Epoch(train) [69][3400/3757] lr: 1.000e-03 eta: 8:37:59 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.3553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/06/28 19:32:33 - mmengine - INFO - Epoch(train) [69][3420/3757] lr: 1.000e-03 eta: 8:37:54 time: 1.021 data_time: 0.025 memory: 5150 grad_norm: 8.7303 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2599 loss: 1.2599 2022/06/28 19:32:38 - mmengine - INFO - Epoch(train) [69][3440/3757] lr: 1.000e-03 eta: 8:37:48 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.5281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3550 loss: 1.3550 2022/06/28 19:32:43 - mmengine - INFO - Epoch(train) [69][3460/3757] lr: 1.000e-03 eta: 8:37:43 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 6.7031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4236 loss: 1.4236 2022/06/28 19:32:49 - mmengine - INFO - Epoch(train) [69][3480/3757] lr: 1.000e-03 eta: 8:37:38 time: 1.096 data_time: 0.015 memory: 5150 grad_norm: 8.7232 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2658 loss: 1.2658 2022/06/28 19:32:54 - mmengine - INFO - Epoch(train) [69][3500/3757] lr: 1.000e-03 eta: 8:37:32 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.6348 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0447 loss: 1.0447 2022/06/28 19:32:59 - mmengine - INFO - Epoch(train) [69][3520/3757] lr: 1.000e-03 eta: 8:37:27 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 9.0130 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2305 loss: 1.2305 2022/06/28 19:33:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:33:04 - mmengine - INFO - Epoch(train) [69][3540/3757] lr: 1.000e-03 eta: 8:37:22 time: 0.642 data_time: 0.008 memory: 5150 grad_norm: 10.1867 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/06/28 19:33:10 - mmengine - INFO - Epoch(train) [69][3560/3757] lr: 1.000e-03 eta: 8:37:17 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.4071 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/06/28 19:33:15 - mmengine - INFO - Epoch(train) [69][3580/3757] lr: 1.000e-03 eta: 8:37:11 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.0041 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3118 loss: 1.3118 2022/06/28 19:33:21 - mmengine - INFO - Epoch(train) [69][3600/3757] lr: 1.000e-03 eta: 8:37:06 time: 0.693 data_time: 0.007 memory: 5150 grad_norm: 8.2409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/06/28 19:33:26 - mmengine - INFO - Epoch(train) [69][3620/3757] lr: 1.000e-03 eta: 8:37:01 time: 0.230 data_time: 0.011 memory: 5150 grad_norm: 7.3736 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4603 loss: 1.4603 2022/06/28 19:33:31 - mmengine - INFO - Epoch(train) [69][3640/3757] lr: 1.000e-03 eta: 8:36:55 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.4134 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/06/28 19:33:36 - mmengine - INFO - Epoch(train) [69][3660/3757] lr: 1.000e-03 eta: 8:36:50 time: 0.735 data_time: 0.007 memory: 5150 grad_norm: 7.1613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2097 loss: 1.2097 2022/06/28 19:33:42 - mmengine - INFO - Epoch(train) [69][3680/3757] lr: 1.000e-03 eta: 8:36:45 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 10.5117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3616 loss: 1.3616 2022/06/28 19:33:47 - mmengine - INFO - Epoch(train) [69][3700/3757] lr: 1.000e-03 eta: 8:36:39 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/06/28 19:33:53 - mmengine - INFO - Epoch(train) [69][3720/3757] lr: 1.000e-03 eta: 8:36:34 time: 0.845 data_time: 0.008 memory: 5150 grad_norm: 8.5495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3978 loss: 1.3978 2022/06/28 19:33:58 - mmengine - INFO - Epoch(train) [69][3740/3757] lr: 1.000e-03 eta: 8:36:28 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 8.6641 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1344 loss: 1.1344 2022/06/28 19:34:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:34:34 - mmengine - INFO - Epoch(val) [69][20/310] eta: 0:05:49 time: 0.999 data_time: 0.349 memory: 9746 2022/06/28 19:34:56 - mmengine - INFO - Epoch(val) [69][40/310] eta: 0:04:49 time: 1.042 data_time: 0.399 memory: 9746 2022/06/28 19:35:20 - mmengine - INFO - Epoch(val) [69][60/310] eta: 0:04:19 time: 1.118 data_time: 0.487 memory: 9746 2022/06/28 19:35:43 - mmengine - INFO - Epoch(val) [69][80/310] eta: 0:05:00 time: 1.080 data_time: 0.438 memory: 9746 2022/06/28 19:36:07 - mmengine - INFO - Epoch(val) [69][100/310] eta: 0:03:59 time: 1.595 data_time: 0.963 memory: 9746 2022/06/28 19:36:28 - mmengine - INFO - Epoch(val) [69][120/310] eta: 0:03:27 time: 1.094 data_time: 0.415 memory: 9746 2022/06/28 19:36:53 - mmengine - INFO - Epoch(val) [69][140/310] eta: 0:03:20 time: 1.040 data_time: 0.385 memory: 9746 2022/06/28 19:37:18 - mmengine - INFO - Epoch(val) [69][160/310] eta: 0:03:06 time: 3.002 data_time: 2.334 memory: 9746 2022/06/28 19:37:41 - mmengine - INFO - Epoch(val) [69][180/310] eta: 0:02:56 time: 1.045 data_time: 0.401 memory: 9746 2022/06/28 19:38:04 - mmengine - INFO - Epoch(val) [69][200/310] eta: 0:02:08 time: 1.022 data_time: 0.379 memory: 9746 2022/06/28 19:38:26 - mmengine - INFO - Epoch(val) [69][220/310] eta: 0:01:36 time: 1.093 data_time: 0.429 memory: 9746 2022/06/28 19:38:47 - mmengine - INFO - Epoch(val) [69][240/310] eta: 0:01:15 time: 1.129 data_time: 0.469 memory: 9746 2022/06/28 19:39:09 - mmengine - INFO - Epoch(val) [69][260/310] eta: 0:00:55 time: 0.846 data_time: 0.196 memory: 9746 2022/06/28 19:39:32 - mmengine - INFO - Epoch(val) [69][280/310] eta: 0:00:34 time: 2.520 data_time: 1.861 memory: 9746 2022/06/28 19:39:51 - mmengine - INFO - Epoch(val) [69][300/310] eta: 0:00:08 time: 0.636 data_time: 0.068 memory: 9746 2022/06/28 19:40:02 - mmengine - INFO - Epoch(val) [69][310/310] acc/top1: 0.7090 acc/top5: 0.8982 acc/mean1: 0.7090 2022/06/28 19:40:11 - mmengine - INFO - Epoch(train) [70][20/3757] lr: 1.000e-03 eta: 8:36:19 time: 0.206 data_time: 0.013 memory: 9746 grad_norm: 8.0006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1208 loss: 1.1208 2022/06/28 19:40:16 - mmengine - INFO - Epoch(train) [70][40/3757] lr: 1.000e-03 eta: 8:36:14 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 9.2168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5175 loss: 1.5175 2022/06/28 19:40:21 - mmengine - INFO - Epoch(train) [70][60/3757] lr: 1.000e-03 eta: 8:36:08 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.5486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/06/28 19:40:27 - mmengine - INFO - Epoch(train) [70][80/3757] lr: 1.000e-03 eta: 8:36:03 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.4285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/06/28 19:40:34 - mmengine - INFO - Epoch(train) [70][100/3757] lr: 1.000e-03 eta: 8:35:58 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.5332 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6498 loss: 1.6498 2022/06/28 19:40:38 - mmengine - INFO - Epoch(train) [70][120/3757] lr: 1.000e-03 eta: 8:35:53 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.7282 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2177 loss: 1.2177 2022/06/28 19:40:44 - mmengine - INFO - Epoch(train) [70][140/3757] lr: 1.000e-03 eta: 8:35:47 time: 0.190 data_time: 0.011 memory: 5150 grad_norm: 7.7665 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.5213 loss: 1.5213 2022/06/28 19:40:49 - mmengine - INFO - Epoch(train) [70][160/3757] lr: 1.000e-03 eta: 8:35:42 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.3550 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2412 loss: 1.2412 2022/06/28 19:40:54 - mmengine - INFO - Epoch(train) [70][180/3757] lr: 1.000e-03 eta: 8:35:37 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.8240 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/06/28 19:40:59 - mmengine - INFO - Epoch(train) [70][200/3757] lr: 1.000e-03 eta: 8:35:31 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.5950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4818 loss: 1.4818 2022/06/28 19:41:06 - mmengine - INFO - Epoch(train) [70][220/3757] lr: 1.000e-03 eta: 8:35:26 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.9948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2137 loss: 1.2137 2022/06/28 19:41:13 - mmengine - INFO - Epoch(train) [70][240/3757] lr: 1.000e-03 eta: 8:35:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.2933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1711 loss: 1.1711 2022/06/28 19:41:17 - mmengine - INFO - Epoch(train) [70][260/3757] lr: 1.000e-03 eta: 8:35:16 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 9.5706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3122 loss: 1.3122 2022/06/28 19:41:23 - mmengine - INFO - Epoch(train) [70][280/3757] lr: 1.000e-03 eta: 8:35:11 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 8.8784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/06/28 19:41:30 - mmengine - INFO - Epoch(train) [70][300/3757] lr: 1.000e-03 eta: 8:35:07 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.7666 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/06/28 19:41:37 - mmengine - INFO - Epoch(train) [70][320/3757] lr: 1.000e-03 eta: 8:35:02 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.1081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0034 loss: 1.0034 2022/06/28 19:41:42 - mmengine - INFO - Epoch(train) [70][340/3757] lr: 1.000e-03 eta: 8:34:56 time: 0.264 data_time: 0.007 memory: 5150 grad_norm: 9.0042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/06/28 19:41:46 - mmengine - INFO - Epoch(train) [70][360/3757] lr: 1.000e-03 eta: 8:34:50 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 6.7205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4687 loss: 1.4687 2022/06/28 19:41:51 - mmengine - INFO - Epoch(train) [70][380/3757] lr: 1.000e-03 eta: 8:34:45 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 7.8176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0860 loss: 1.0860 2022/06/28 19:41:56 - mmengine - INFO - Epoch(train) [70][400/3757] lr: 1.000e-03 eta: 8:34:40 time: 0.296 data_time: 0.008 memory: 5150 grad_norm: 7.6540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/06/28 19:42:02 - mmengine - INFO - Epoch(train) [70][420/3757] lr: 1.000e-03 eta: 8:34:34 time: 0.660 data_time: 0.484 memory: 5150 grad_norm: 8.0035 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1078 loss: 1.1078 2022/06/28 19:42:07 - mmengine - INFO - Epoch(train) [70][440/3757] lr: 1.000e-03 eta: 8:34:29 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.7159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3323 loss: 1.3323 2022/06/28 19:42:13 - mmengine - INFO - Epoch(train) [70][460/3757] lr: 1.000e-03 eta: 8:34:24 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 9.4676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3390 loss: 1.3390 2022/06/28 19:42:18 - mmengine - INFO - Epoch(train) [70][480/3757] lr: 1.000e-03 eta: 8:34:19 time: 0.270 data_time: 0.020 memory: 5150 grad_norm: 7.9728 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9045 loss: 1.9045 2022/06/28 19:42:24 - mmengine - INFO - Epoch(train) [70][500/3757] lr: 1.000e-03 eta: 8:34:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0035 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2222 loss: 1.2222 2022/06/28 19:42:29 - mmengine - INFO - Epoch(train) [70][520/3757] lr: 1.000e-03 eta: 8:34:08 time: 0.716 data_time: 0.021 memory: 5150 grad_norm: 8.5486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4119 loss: 1.4119 2022/06/28 19:42:34 - mmengine - INFO - Epoch(train) [70][540/3757] lr: 1.000e-03 eta: 8:34:03 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 7.9318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5051 loss: 1.5051 2022/06/28 19:42:40 - mmengine - INFO - Epoch(train) [70][560/3757] lr: 1.000e-03 eta: 8:33:58 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.8339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/06/28 19:42:46 - mmengine - INFO - Epoch(train) [70][580/3757] lr: 1.000e-03 eta: 8:33:52 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 9.6533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/06/28 19:42:51 - mmengine - INFO - Epoch(train) [70][600/3757] lr: 1.000e-03 eta: 8:33:47 time: 0.212 data_time: 0.032 memory: 5150 grad_norm: 7.4340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3444 loss: 1.3444 2022/06/28 19:42:56 - mmengine - INFO - Epoch(train) [70][620/3757] lr: 1.000e-03 eta: 8:33:41 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.1254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3267 loss: 1.3267 2022/06/28 19:43:01 - mmengine - INFO - Epoch(train) [70][640/3757] lr: 1.000e-03 eta: 8:33:36 time: 0.659 data_time: 0.021 memory: 5150 grad_norm: 8.0244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9040 loss: 0.9040 2022/06/28 19:43:07 - mmengine - INFO - Epoch(train) [70][660/3757] lr: 1.000e-03 eta: 8:33:31 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 8.2084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5187 loss: 1.5187 2022/06/28 19:43:12 - mmengine - INFO - Epoch(train) [70][680/3757] lr: 1.000e-03 eta: 8:33:26 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2756 loss: 1.2756 2022/06/28 19:43:17 - mmengine - INFO - Epoch(train) [70][700/3757] lr: 1.000e-03 eta: 8:33:20 time: 0.209 data_time: 0.021 memory: 5150 grad_norm: 8.0783 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4045 loss: 1.4045 2022/06/28 19:43:23 - mmengine - INFO - Epoch(train) [70][720/3757] lr: 1.000e-03 eta: 8:33:15 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.1918 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2019 loss: 1.2019 2022/06/28 19:43:29 - mmengine - INFO - Epoch(train) [70][740/3757] lr: 1.000e-03 eta: 8:33:10 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.4913 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0388 loss: 1.0388 2022/06/28 19:43:33 - mmengine - INFO - Epoch(train) [70][760/3757] lr: 1.000e-03 eta: 8:33:04 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 7.7678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1738 loss: 1.1738 2022/06/28 19:43:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:43:40 - mmengine - INFO - Epoch(train) [70][780/3757] lr: 1.000e-03 eta: 8:32:59 time: 0.279 data_time: 0.013 memory: 5150 grad_norm: 8.3984 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/06/28 19:43:44 - mmengine - INFO - Epoch(train) [70][800/3757] lr: 1.000e-03 eta: 8:32:54 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 8.6290 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5177 loss: 1.5177 2022/06/28 19:43:50 - mmengine - INFO - Epoch(train) [70][820/3757] lr: 1.000e-03 eta: 8:32:48 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 7.8343 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3586 loss: 1.3586 2022/06/28 19:43:55 - mmengine - INFO - Epoch(train) [70][840/3757] lr: 1.000e-03 eta: 8:32:43 time: 0.248 data_time: 0.007 memory: 5150 grad_norm: 7.6449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/06/28 19:44:01 - mmengine - INFO - Epoch(train) [70][860/3757] lr: 1.000e-03 eta: 8:32:38 time: 0.877 data_time: 0.007 memory: 5150 grad_norm: 8.4569 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0040 loss: 1.0040 2022/06/28 19:44:06 - mmengine - INFO - Epoch(train) [70][880/3757] lr: 1.000e-03 eta: 8:32:33 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.6763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/06/28 19:44:12 - mmengine - INFO - Epoch(train) [70][900/3757] lr: 1.000e-03 eta: 8:32:27 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.9126 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/06/28 19:44:17 - mmengine - INFO - Epoch(train) [70][920/3757] lr: 1.000e-03 eta: 8:32:22 time: 0.997 data_time: 0.011 memory: 5150 grad_norm: 8.6003 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3060 loss: 1.3060 2022/06/28 19:44:23 - mmengine - INFO - Epoch(train) [70][940/3757] lr: 1.000e-03 eta: 8:32:17 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 10.4072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1922 loss: 1.1922 2022/06/28 19:44:28 - mmengine - INFO - Epoch(train) [70][960/3757] lr: 1.000e-03 eta: 8:32:12 time: 0.244 data_time: 0.010 memory: 5150 grad_norm: 7.0956 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2614 loss: 1.2614 2022/06/28 19:44:33 - mmengine - INFO - Epoch(train) [70][980/3757] lr: 1.000e-03 eta: 8:32:06 time: 0.618 data_time: 0.007 memory: 5150 grad_norm: 7.9341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/06/28 19:44:38 - mmengine - INFO - Epoch(train) [70][1000/3757] lr: 1.000e-03 eta: 8:32:01 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.0181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5437 loss: 1.5437 2022/06/28 19:44:44 - mmengine - INFO - Epoch(train) [70][1020/3757] lr: 1.000e-03 eta: 8:31:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.9372 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2872 loss: 1.2872 2022/06/28 19:44:49 - mmengine - INFO - Epoch(train) [70][1040/3757] lr: 1.000e-03 eta: 8:31:50 time: 0.930 data_time: 0.007 memory: 5150 grad_norm: 8.2121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/06/28 19:44:54 - mmengine - INFO - Epoch(train) [70][1060/3757] lr: 1.000e-03 eta: 8:31:45 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 7.3364 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8976 loss: 0.8976 2022/06/28 19:44:59 - mmengine - INFO - Epoch(train) [70][1080/3757] lr: 1.000e-03 eta: 8:31:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.0067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1230 loss: 1.1230 2022/06/28 19:45:05 - mmengine - INFO - Epoch(train) [70][1100/3757] lr: 1.000e-03 eta: 8:31:34 time: 0.770 data_time: 0.008 memory: 5150 grad_norm: 7.5900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.8713 loss: 1.8713 2022/06/28 19:45:10 - mmengine - INFO - Epoch(train) [70][1120/3757] lr: 1.000e-03 eta: 8:31:29 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 10.2957 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5290 loss: 1.5290 2022/06/28 19:45:15 - mmengine - INFO - Epoch(train) [70][1140/3757] lr: 1.000e-03 eta: 8:31:23 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0648 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/06/28 19:45:20 - mmengine - INFO - Epoch(train) [70][1160/3757] lr: 1.000e-03 eta: 8:31:18 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.6135 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1285 loss: 1.1285 2022/06/28 19:45:26 - mmengine - INFO - Epoch(train) [70][1180/3757] lr: 1.000e-03 eta: 8:31:13 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 8.8583 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4603 loss: 1.4603 2022/06/28 19:45:31 - mmengine - INFO - Epoch(train) [70][1200/3757] lr: 1.000e-03 eta: 8:31:07 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.2337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4583 loss: 1.4583 2022/06/28 19:45:37 - mmengine - INFO - Epoch(train) [70][1220/3757] lr: 1.000e-03 eta: 8:31:02 time: 0.227 data_time: 0.015 memory: 5150 grad_norm: 7.8577 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6048 loss: 1.6048 2022/06/28 19:45:42 - mmengine - INFO - Epoch(train) [70][1240/3757] lr: 1.000e-03 eta: 8:30:57 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 7.8687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1350 loss: 1.1350 2022/06/28 19:45:47 - mmengine - INFO - Epoch(train) [70][1260/3757] lr: 1.000e-03 eta: 8:30:52 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.8714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1300 loss: 1.1300 2022/06/28 19:45:53 - mmengine - INFO - Epoch(train) [70][1280/3757] lr: 1.000e-03 eta: 8:30:46 time: 0.215 data_time: 0.025 memory: 5150 grad_norm: 8.3131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9378 loss: 0.9378 2022/06/28 19:45:58 - mmengine - INFO - Epoch(train) [70][1300/3757] lr: 1.000e-03 eta: 8:30:41 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.9054 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/06/28 19:46:04 - mmengine - INFO - Epoch(train) [70][1320/3757] lr: 1.000e-03 eta: 8:30:36 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 8.6335 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5270 loss: 1.5270 2022/06/28 19:46:09 - mmengine - INFO - Epoch(train) [70][1340/3757] lr: 1.000e-03 eta: 8:30:30 time: 0.218 data_time: 0.024 memory: 5150 grad_norm: 7.7958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/06/28 19:46:15 - mmengine - INFO - Epoch(train) [70][1360/3757] lr: 1.000e-03 eta: 8:30:25 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 8.7977 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/06/28 19:46:19 - mmengine - INFO - Epoch(train) [70][1380/3757] lr: 1.000e-03 eta: 8:30:20 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 8.2010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1847 loss: 1.1847 2022/06/28 19:46:25 - mmengine - INFO - Epoch(train) [70][1400/3757] lr: 1.000e-03 eta: 8:30:14 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.9817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3207 loss: 1.3207 2022/06/28 19:46:34 - mmengine - INFO - Epoch(train) [70][1420/3757] lr: 1.000e-03 eta: 8:30:11 time: 0.192 data_time: 0.020 memory: 5150 grad_norm: 9.2372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/06/28 19:46:38 - mmengine - INFO - Epoch(train) [70][1440/3757] lr: 1.000e-03 eta: 8:30:05 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.7591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2625 loss: 1.2625 2022/06/28 19:46:43 - mmengine - INFO - Epoch(train) [70][1460/3757] lr: 1.000e-03 eta: 8:29:59 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 10.0293 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4265 loss: 1.4265 2022/06/28 19:46:48 - mmengine - INFO - Epoch(train) [70][1480/3757] lr: 1.000e-03 eta: 8:29:54 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.3335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9838 loss: 0.9838 2022/06/28 19:46:54 - mmengine - INFO - Epoch(train) [70][1500/3757] lr: 1.000e-03 eta: 8:29:49 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 8.9368 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3634 loss: 1.3634 2022/06/28 19:46:59 - mmengine - INFO - Epoch(train) [70][1520/3757] lr: 1.000e-03 eta: 8:29:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.8916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3424 loss: 1.3424 2022/06/28 19:47:05 - mmengine - INFO - Epoch(train) [70][1540/3757] lr: 1.000e-03 eta: 8:29:38 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.0871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5364 loss: 1.5364 2022/06/28 19:47:10 - mmengine - INFO - Epoch(train) [70][1560/3757] lr: 1.000e-03 eta: 8:29:33 time: 0.230 data_time: 0.012 memory: 5150 grad_norm: 7.0587 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1314 loss: 1.1314 2022/06/28 19:47:15 - mmengine - INFO - Epoch(train) [70][1580/3757] lr: 1.000e-03 eta: 8:29:27 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 8.4388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6123 loss: 1.6123 2022/06/28 19:47:20 - mmengine - INFO - Epoch(train) [70][1600/3757] lr: 1.000e-03 eta: 8:29:22 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.6758 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5685 loss: 1.5685 2022/06/28 19:47:25 - mmengine - INFO - Epoch(train) [70][1620/3757] lr: 1.000e-03 eta: 8:29:17 time: 0.223 data_time: 0.020 memory: 5150 grad_norm: 7.8494 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3676 loss: 1.3676 2022/06/28 19:47:31 - mmengine - INFO - Epoch(train) [70][1640/3757] lr: 1.000e-03 eta: 8:29:11 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.2584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5456 loss: 1.5456 2022/06/28 19:47:36 - mmengine - INFO - Epoch(train) [70][1660/3757] lr: 1.000e-03 eta: 8:29:06 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 10.4824 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4252 loss: 1.4252 2022/06/28 19:47:41 - mmengine - INFO - Epoch(train) [70][1680/3757] lr: 1.000e-03 eta: 8:29:01 time: 0.207 data_time: 0.020 memory: 5150 grad_norm: 9.0830 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2004 loss: 1.2004 2022/06/28 19:47:47 - mmengine - INFO - Epoch(train) [70][1700/3757] lr: 1.000e-03 eta: 8:28:55 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.5672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/06/28 19:47:52 - mmengine - INFO - Epoch(train) [70][1720/3757] lr: 1.000e-03 eta: 8:28:50 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.3202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/06/28 19:47:57 - mmengine - INFO - Epoch(train) [70][1740/3757] lr: 1.000e-03 eta: 8:28:45 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.2899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5214 loss: 1.5214 2022/06/28 19:48:03 - mmengine - INFO - Epoch(train) [70][1760/3757] lr: 1.000e-03 eta: 8:28:39 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.1107 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4473 loss: 1.4473 2022/06/28 19:48:05 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:48:08 - mmengine - INFO - Epoch(train) [70][1780/3757] lr: 1.000e-03 eta: 8:28:34 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 9.0563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4109 loss: 1.4109 2022/06/28 19:48:14 - mmengine - INFO - Epoch(train) [70][1800/3757] lr: 1.000e-03 eta: 8:28:29 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 7.8512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2438 loss: 1.2438 2022/06/28 19:48:19 - mmengine - INFO - Epoch(train) [70][1820/3757] lr: 1.000e-03 eta: 8:28:23 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 7.5907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/06/28 19:48:24 - mmengine - INFO - Epoch(train) [70][1840/3757] lr: 1.000e-03 eta: 8:28:18 time: 0.271 data_time: 0.007 memory: 5150 grad_norm: 8.0599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3399 loss: 1.3399 2022/06/28 19:48:29 - mmengine - INFO - Epoch(train) [70][1860/3757] lr: 1.000e-03 eta: 8:28:13 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 7.7987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/06/28 19:48:35 - mmengine - INFO - Epoch(train) [70][1880/3757] lr: 1.000e-03 eta: 8:28:08 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 8.8777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2682 loss: 1.2682 2022/06/28 19:48:41 - mmengine - INFO - Epoch(train) [70][1900/3757] lr: 1.000e-03 eta: 8:28:02 time: 0.238 data_time: 0.011 memory: 5150 grad_norm: 9.4127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3442 loss: 1.3442 2022/06/28 19:48:45 - mmengine - INFO - Epoch(train) [70][1920/3757] lr: 1.000e-03 eta: 8:27:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.2247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4025 loss: 1.4025 2022/06/28 19:48:51 - mmengine - INFO - Epoch(train) [70][1940/3757] lr: 1.000e-03 eta: 8:27:52 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 9.1628 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3769 loss: 1.3769 2022/06/28 19:48:56 - mmengine - INFO - Epoch(train) [70][1960/3757] lr: 1.000e-03 eta: 8:27:46 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.0123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1781 loss: 1.1781 2022/06/28 19:49:02 - mmengine - INFO - Epoch(train) [70][1980/3757] lr: 1.000e-03 eta: 8:27:41 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 7.8809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2863 loss: 1.2863 2022/06/28 19:49:07 - mmengine - INFO - Epoch(train) [70][2000/3757] lr: 1.000e-03 eta: 8:27:36 time: 0.199 data_time: 0.022 memory: 5150 grad_norm: 8.5876 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2165 loss: 1.2165 2022/06/28 19:49:13 - mmengine - INFO - Epoch(train) [70][2020/3757] lr: 1.000e-03 eta: 8:27:31 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.8827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/06/28 19:49:19 - mmengine - INFO - Epoch(train) [70][2040/3757] lr: 1.000e-03 eta: 8:27:25 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.2203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/06/28 19:49:23 - mmengine - INFO - Epoch(train) [70][2060/3757] lr: 1.000e-03 eta: 8:27:20 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.7198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0901 loss: 1.0901 2022/06/28 19:49:29 - mmengine - INFO - Epoch(train) [70][2080/3757] lr: 1.000e-03 eta: 8:27:15 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.6459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4818 loss: 1.4818 2022/06/28 19:49:34 - mmengine - INFO - Epoch(train) [70][2100/3757] lr: 1.000e-03 eta: 8:27:09 time: 0.280 data_time: 0.008 memory: 5150 grad_norm: 8.9823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6199 loss: 1.6199 2022/06/28 19:49:40 - mmengine - INFO - Epoch(train) [70][2120/3757] lr: 1.000e-03 eta: 8:27:04 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.7834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4430 loss: 1.4430 2022/06/28 19:49:45 - mmengine - INFO - Epoch(train) [70][2140/3757] lr: 1.000e-03 eta: 8:26:59 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.1319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0741 loss: 1.0741 2022/06/28 19:49:51 - mmengine - INFO - Epoch(train) [70][2160/3757] lr: 1.000e-03 eta: 8:26:54 time: 0.871 data_time: 0.008 memory: 5150 grad_norm: 8.4158 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3506 loss: 1.3506 2022/06/28 19:49:56 - mmengine - INFO - Epoch(train) [70][2180/3757] lr: 1.000e-03 eta: 8:26:48 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.3951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7005 loss: 1.7005 2022/06/28 19:50:01 - mmengine - INFO - Epoch(train) [70][2200/3757] lr: 1.000e-03 eta: 8:26:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.9378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3805 loss: 1.3805 2022/06/28 19:50:07 - mmengine - INFO - Epoch(train) [70][2220/3757] lr: 1.000e-03 eta: 8:26:37 time: 0.867 data_time: 0.008 memory: 5150 grad_norm: 8.3803 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1429 loss: 1.1429 2022/06/28 19:50:12 - mmengine - INFO - Epoch(train) [70][2240/3757] lr: 1.000e-03 eta: 8:26:32 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5112 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/06/28 19:50:17 - mmengine - INFO - Epoch(train) [70][2260/3757] lr: 1.000e-03 eta: 8:26:27 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.2998 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1606 loss: 1.1606 2022/06/28 19:50:22 - mmengine - INFO - Epoch(train) [70][2280/3757] lr: 1.000e-03 eta: 8:26:21 time: 0.931 data_time: 0.007 memory: 5150 grad_norm: 7.0702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4257 loss: 1.4257 2022/06/28 19:50:27 - mmengine - INFO - Epoch(train) [70][2300/3757] lr: 1.000e-03 eta: 8:26:16 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1342 loss: 1.1342 2022/06/28 19:50:32 - mmengine - INFO - Epoch(train) [70][2320/3757] lr: 1.000e-03 eta: 8:26:10 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.5682 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1753 loss: 1.1753 2022/06/28 19:50:38 - mmengine - INFO - Epoch(train) [70][2340/3757] lr: 1.000e-03 eta: 8:26:05 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.1203 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0496 loss: 1.0496 2022/06/28 19:50:43 - mmengine - INFO - Epoch(train) [70][2360/3757] lr: 1.000e-03 eta: 8:26:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.7710 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2571 loss: 1.2571 2022/06/28 19:50:49 - mmengine - INFO - Epoch(train) [70][2380/3757] lr: 1.000e-03 eta: 8:25:54 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1348 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3661 loss: 1.3661 2022/06/28 19:50:54 - mmengine - INFO - Epoch(train) [70][2400/3757] lr: 1.000e-03 eta: 8:25:49 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.2982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5057 loss: 1.5057 2022/06/28 19:50:59 - mmengine - INFO - Epoch(train) [70][2420/3757] lr: 1.000e-03 eta: 8:25:44 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 6.6458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4458 loss: 1.4458 2022/06/28 19:51:04 - mmengine - INFO - Epoch(train) [70][2440/3757] lr: 1.000e-03 eta: 8:25:38 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.1666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3338 loss: 1.3338 2022/06/28 19:51:10 - mmengine - INFO - Epoch(train) [70][2460/3757] lr: 1.000e-03 eta: 8:25:33 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.2944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1508 loss: 1.1508 2022/06/28 19:51:16 - mmengine - INFO - Epoch(train) [70][2480/3757] lr: 1.000e-03 eta: 8:25:28 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 7.5199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/06/28 19:51:21 - mmengine - INFO - Epoch(train) [70][2500/3757] lr: 1.000e-03 eta: 8:25:23 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 7.8938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5639 loss: 1.5639 2022/06/28 19:51:26 - mmengine - INFO - Epoch(train) [70][2520/3757] lr: 1.000e-03 eta: 8:25:17 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.3216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9893 loss: 0.9893 2022/06/28 19:51:32 - mmengine - INFO - Epoch(train) [70][2540/3757] lr: 1.000e-03 eta: 8:25:12 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 9.0231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1502 loss: 1.1502 2022/06/28 19:51:37 - mmengine - INFO - Epoch(train) [70][2560/3757] lr: 1.000e-03 eta: 8:25:07 time: 0.737 data_time: 0.018 memory: 5150 grad_norm: 7.6244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2583 loss: 1.2583 2022/06/28 19:51:42 - mmengine - INFO - Epoch(train) [70][2580/3757] lr: 1.000e-03 eta: 8:25:02 time: 0.200 data_time: 0.018 memory: 5150 grad_norm: 6.8555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/06/28 19:51:48 - mmengine - INFO - Epoch(train) [70][2600/3757] lr: 1.000e-03 eta: 8:24:56 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 9.4778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3589 loss: 1.3589 2022/06/28 19:51:54 - mmengine - INFO - Epoch(train) [70][2620/3757] lr: 1.000e-03 eta: 8:24:51 time: 0.255 data_time: 0.008 memory: 5150 grad_norm: 8.1174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/06/28 19:51:59 - mmengine - INFO - Epoch(train) [70][2640/3757] lr: 1.000e-03 eta: 8:24:46 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.8206 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1341 loss: 1.1341 2022/06/28 19:52:04 - mmengine - INFO - Epoch(train) [70][2660/3757] lr: 1.000e-03 eta: 8:24:40 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.0367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2953 loss: 1.2953 2022/06/28 19:52:09 - mmengine - INFO - Epoch(train) [70][2680/3757] lr: 1.000e-03 eta: 8:24:35 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 7.5904 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7443 loss: 1.7443 2022/06/28 19:52:15 - mmengine - INFO - Epoch(train) [70][2700/3757] lr: 1.000e-03 eta: 8:24:30 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4849 loss: 1.4849 2022/06/28 19:52:20 - mmengine - INFO - Epoch(train) [70][2720/3757] lr: 1.000e-03 eta: 8:24:24 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 9.5726 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/06/28 19:52:25 - mmengine - INFO - Epoch(train) [70][2740/3757] lr: 1.000e-03 eta: 8:24:19 time: 0.216 data_time: 0.019 memory: 5150 grad_norm: 7.3232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/06/28 19:52:31 - mmengine - INFO - Epoch(train) [70][2760/3757] lr: 1.000e-03 eta: 8:24:14 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.3031 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3483 loss: 1.3483 2022/06/28 19:52:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:52:36 - mmengine - INFO - Epoch(train) [70][2780/3757] lr: 1.000e-03 eta: 8:24:08 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 9.7722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/06/28 19:52:41 - mmengine - INFO - Epoch(train) [70][2800/3757] lr: 1.000e-03 eta: 8:24:03 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.3304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/06/28 19:52:46 - mmengine - INFO - Epoch(train) [70][2820/3757] lr: 1.000e-03 eta: 8:23:57 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.4973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/06/28 19:52:52 - mmengine - INFO - Epoch(train) [70][2840/3757] lr: 1.000e-03 eta: 8:23:52 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.8261 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9909 loss: 0.9909 2022/06/28 19:53:00 - mmengine - INFO - Epoch(train) [70][2860/3757] lr: 1.000e-03 eta: 8:23:48 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.5976 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1456 loss: 1.1456 2022/06/28 19:53:04 - mmengine - INFO - Epoch(train) [70][2880/3757] lr: 1.000e-03 eta: 8:23:42 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5381 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/06/28 19:53:10 - mmengine - INFO - Epoch(train) [70][2900/3757] lr: 1.000e-03 eta: 8:23:37 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 8.6467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4046 loss: 1.4046 2022/06/28 19:53:15 - mmengine - INFO - Epoch(train) [70][2920/3757] lr: 1.000e-03 eta: 8:23:32 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 6.8947 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3029 loss: 1.3029 2022/06/28 19:53:20 - mmengine - INFO - Epoch(train) [70][2940/3757] lr: 1.000e-03 eta: 8:23:26 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.6449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/06/28 19:53:27 - mmengine - INFO - Epoch(train) [70][2960/3757] lr: 1.000e-03 eta: 8:23:22 time: 0.248 data_time: 0.007 memory: 5150 grad_norm: 7.3204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/06/28 19:53:32 - mmengine - INFO - Epoch(train) [70][2980/3757] lr: 1.000e-03 eta: 8:23:16 time: 0.242 data_time: 0.014 memory: 5150 grad_norm: 8.4661 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/06/28 19:53:37 - mmengine - INFO - Epoch(train) [70][3000/3757] lr: 1.000e-03 eta: 8:23:11 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 8.1532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2394 loss: 1.2394 2022/06/28 19:53:44 - mmengine - INFO - Epoch(train) [70][3020/3757] lr: 1.000e-03 eta: 8:23:06 time: 0.220 data_time: 0.025 memory: 5150 grad_norm: 8.1447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0762 loss: 1.0762 2022/06/28 19:53:48 - mmengine - INFO - Epoch(train) [70][3040/3757] lr: 1.000e-03 eta: 8:23:00 time: 0.206 data_time: 0.025 memory: 5150 grad_norm: 7.6392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4220 loss: 1.4220 2022/06/28 19:53:53 - mmengine - INFO - Epoch(train) [70][3060/3757] lr: 1.000e-03 eta: 8:22:55 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.1947 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3704 loss: 1.3704 2022/06/28 19:54:01 - mmengine - INFO - Epoch(train) [70][3080/3757] lr: 1.000e-03 eta: 8:22:50 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 6.8483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2696 loss: 1.2696 2022/06/28 19:54:05 - mmengine - INFO - Epoch(train) [70][3100/3757] lr: 1.000e-03 eta: 8:22:45 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.9532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3542 loss: 1.3542 2022/06/28 19:54:13 - mmengine - INFO - Epoch(train) [70][3120/3757] lr: 1.000e-03 eta: 8:22:41 time: 1.479 data_time: 0.006 memory: 5150 grad_norm: 8.4227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4636 loss: 1.4636 2022/06/28 19:54:19 - mmengine - INFO - Epoch(train) [70][3140/3757] lr: 1.000e-03 eta: 8:22:36 time: 0.206 data_time: 0.029 memory: 5150 grad_norm: 7.2536 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/06/28 19:54:23 - mmengine - INFO - Epoch(train) [70][3160/3757] lr: 1.000e-03 eta: 8:22:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.6632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3873 loss: 1.3873 2022/06/28 19:54:29 - mmengine - INFO - Epoch(train) [70][3180/3757] lr: 1.000e-03 eta: 8:22:25 time: 0.273 data_time: 0.008 memory: 5150 grad_norm: 7.9267 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3751 loss: 1.3751 2022/06/28 19:54:35 - mmengine - INFO - Epoch(train) [70][3200/3757] lr: 1.000e-03 eta: 8:22:20 time: 0.990 data_time: 0.816 memory: 5150 grad_norm: 8.5831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/06/28 19:54:41 - mmengine - INFO - Epoch(train) [70][3220/3757] lr: 1.000e-03 eta: 8:22:14 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.0537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5124 loss: 1.5124 2022/06/28 19:54:45 - mmengine - INFO - Epoch(train) [70][3240/3757] lr: 1.000e-03 eta: 8:22:09 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.6853 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/06/28 19:54:51 - mmengine - INFO - Epoch(train) [70][3260/3757] lr: 1.000e-03 eta: 8:22:04 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.8122 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2319 loss: 1.2319 2022/06/28 19:54:56 - mmengine - INFO - Epoch(train) [70][3280/3757] lr: 1.000e-03 eta: 8:21:58 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 8.4357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/06/28 19:55:02 - mmengine - INFO - Epoch(train) [70][3300/3757] lr: 1.000e-03 eta: 8:21:53 time: 0.770 data_time: 0.008 memory: 5150 grad_norm: 8.0637 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7170 loss: 1.7170 2022/06/28 19:55:08 - mmengine - INFO - Epoch(train) [70][3320/3757] lr: 1.000e-03 eta: 8:21:48 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.9434 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1203 loss: 1.1203 2022/06/28 19:55:12 - mmengine - INFO - Epoch(train) [70][3340/3757] lr: 1.000e-03 eta: 8:21:42 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 7.7118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2539 loss: 1.2539 2022/06/28 19:55:18 - mmengine - INFO - Epoch(train) [70][3360/3757] lr: 1.000e-03 eta: 8:21:37 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 7.8158 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3615 loss: 1.3615 2022/06/28 19:55:23 - mmengine - INFO - Epoch(train) [70][3380/3757] lr: 1.000e-03 eta: 8:21:32 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 8.5849 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0527 loss: 1.0527 2022/06/28 19:55:28 - mmengine - INFO - Epoch(train) [70][3400/3757] lr: 1.000e-03 eta: 8:21:26 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.8385 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5791 loss: 1.5791 2022/06/28 19:55:33 - mmengine - INFO - Epoch(train) [70][3420/3757] lr: 1.000e-03 eta: 8:21:21 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.1751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8927 loss: 0.8927 2022/06/28 19:55:38 - mmengine - INFO - Epoch(train) [70][3440/3757] lr: 1.000e-03 eta: 8:21:15 time: 0.216 data_time: 0.027 memory: 5150 grad_norm: 8.2805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4345 loss: 1.4345 2022/06/28 19:55:43 - mmengine - INFO - Epoch(train) [70][3460/3757] lr: 1.000e-03 eta: 8:21:10 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 6.4583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4661 loss: 1.4661 2022/06/28 19:55:49 - mmengine - INFO - Epoch(train) [70][3480/3757] lr: 1.000e-03 eta: 8:21:05 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.3557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/06/28 19:55:54 - mmengine - INFO - Epoch(train) [70][3500/3757] lr: 1.000e-03 eta: 8:20:59 time: 0.214 data_time: 0.017 memory: 5150 grad_norm: 8.4645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1387 loss: 1.1387 2022/06/28 19:55:59 - mmengine - INFO - Epoch(train) [70][3520/3757] lr: 1.000e-03 eta: 8:20:54 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 7.9105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1896 loss: 1.1896 2022/06/28 19:56:05 - mmengine - INFO - Epoch(train) [70][3540/3757] lr: 1.000e-03 eta: 8:20:49 time: 0.191 data_time: 0.007 memory: 5150 grad_norm: 8.0612 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3941 loss: 1.3941 2022/06/28 19:56:11 - mmengine - INFO - Epoch(train) [70][3560/3757] lr: 1.000e-03 eta: 8:20:44 time: 0.210 data_time: 0.030 memory: 5150 grad_norm: 8.0291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3420 loss: 1.3420 2022/06/28 19:56:15 - mmengine - INFO - Epoch(train) [70][3580/3757] lr: 1.000e-03 eta: 8:20:38 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.1199 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4983 loss: 1.4983 2022/06/28 19:56:21 - mmengine - INFO - Epoch(train) [70][3600/3757] lr: 1.000e-03 eta: 8:20:33 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2951 loss: 1.2951 2022/06/28 19:56:27 - mmengine - INFO - Epoch(train) [70][3620/3757] lr: 1.000e-03 eta: 8:20:28 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.5627 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/06/28 19:56:32 - mmengine - INFO - Epoch(train) [70][3640/3757] lr: 1.000e-03 eta: 8:20:22 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.6942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/06/28 19:56:37 - mmengine - INFO - Epoch(train) [70][3660/3757] lr: 1.000e-03 eta: 8:20:17 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.5862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1322 loss: 1.1322 2022/06/28 19:56:43 - mmengine - INFO - Epoch(train) [70][3680/3757] lr: 1.000e-03 eta: 8:20:12 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.6477 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3478 loss: 1.3478 2022/06/28 19:56:47 - mmengine - INFO - Epoch(train) [70][3700/3757] lr: 1.000e-03 eta: 8:20:06 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.7750 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4914 loss: 1.4914 2022/06/28 19:56:52 - mmengine - INFO - Epoch(train) [70][3720/3757] lr: 1.000e-03 eta: 8:20:01 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 7.3455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4825 loss: 1.4825 2022/06/28 19:56:58 - mmengine - INFO - Epoch(train) [70][3740/3757] lr: 1.000e-03 eta: 8:19:55 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.2846 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1800 loss: 1.1800 2022/06/28 19:57:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 19:57:01 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/06/28 19:57:35 - mmengine - INFO - Epoch(val) [70][20/310] eta: 0:05:17 time: 0.968 data_time: 0.316 memory: 9746 2022/06/28 19:57:57 - mmengine - INFO - Epoch(val) [70][40/310] eta: 0:04:50 time: 1.230 data_time: 0.599 memory: 9746 2022/06/28 19:58:21 - mmengine - INFO - Epoch(val) [70][60/310] eta: 0:04:11 time: 0.982 data_time: 0.341 memory: 9746 2022/06/28 19:58:45 - mmengine - INFO - Epoch(val) [70][80/310] eta: 0:05:28 time: 0.981 data_time: 0.334 memory: 9746 2022/06/28 19:59:08 - mmengine - INFO - Epoch(val) [70][100/310] eta: 0:04:03 time: 2.831 data_time: 2.159 memory: 9746 2022/06/28 19:59:29 - mmengine - INFO - Epoch(val) [70][120/310] eta: 0:03:17 time: 1.094 data_time: 0.452 memory: 9746 2022/06/28 19:59:54 - mmengine - INFO - Epoch(val) [70][140/310] eta: 0:03:39 time: 0.958 data_time: 0.324 memory: 9746 2022/06/28 20:00:19 - mmengine - INFO - Epoch(val) [70][160/310] eta: 0:03:23 time: 4.199 data_time: 3.540 memory: 9746 2022/06/28 20:00:42 - mmengine - INFO - Epoch(val) [70][180/310] eta: 0:02:46 time: 0.993 data_time: 0.345 memory: 9746 2022/06/28 20:01:05 - mmengine - INFO - Epoch(val) [70][200/310] eta: 0:02:08 time: 1.076 data_time: 0.438 memory: 9746 2022/06/28 20:01:26 - mmengine - INFO - Epoch(val) [70][220/310] eta: 0:01:36 time: 1.197 data_time: 0.542 memory: 9746 2022/06/28 20:01:47 - mmengine - INFO - Epoch(val) [70][240/310] eta: 0:01:19 time: 1.026 data_time: 0.382 memory: 9746 2022/06/28 20:02:11 - mmengine - INFO - Epoch(val) [70][260/310] eta: 0:01:00 time: 1.033 data_time: 0.378 memory: 9746 2022/06/28 20:02:34 - mmengine - INFO - Epoch(val) [70][280/310] eta: 0:00:35 time: 2.657 data_time: 1.994 memory: 9746 2022/06/28 20:02:51 - mmengine - INFO - Epoch(val) [70][300/310] eta: 0:00:07 time: 0.622 data_time: 0.062 memory: 9746 2022/06/28 20:03:01 - mmengine - INFO - Epoch(val) [70][310/310] acc/top1: 0.7074 acc/top5: 0.8990 acc/mean1: 0.7073 2022/06/28 20:03:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:03:09 - mmengine - INFO - Epoch(train) [71][20/3757] lr: 1.000e-03 eta: 8:19:46 time: 0.203 data_time: 0.008 memory: 9746 grad_norm: 8.7527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1494 loss: 1.1494 2022/06/28 20:03:15 - mmengine - INFO - Epoch(train) [71][40/3757] lr: 1.000e-03 eta: 8:19:41 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.7513 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/06/28 20:03:20 - mmengine - INFO - Epoch(train) [71][60/3757] lr: 1.000e-03 eta: 8:19:35 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.9988 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4114 loss: 1.4114 2022/06/28 20:03:26 - mmengine - INFO - Epoch(train) [71][80/3757] lr: 1.000e-03 eta: 8:19:30 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 7.7317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2726 loss: 1.2726 2022/06/28 20:03:32 - mmengine - INFO - Epoch(train) [71][100/3757] lr: 1.000e-03 eta: 8:19:25 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 6.8164 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0570 loss: 1.0570 2022/06/28 20:03:37 - mmengine - INFO - Epoch(train) [71][120/3757] lr: 1.000e-03 eta: 8:19:19 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.7205 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5704 loss: 1.5704 2022/06/28 20:03:42 - mmengine - INFO - Epoch(train) [71][140/3757] lr: 1.000e-03 eta: 8:19:14 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.5632 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8839 loss: 0.8839 2022/06/28 20:03:48 - mmengine - INFO - Epoch(train) [71][160/3757] lr: 1.000e-03 eta: 8:19:09 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.0537 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5650 loss: 1.5650 2022/06/28 20:03:52 - mmengine - INFO - Epoch(train) [71][180/3757] lr: 1.000e-03 eta: 8:19:03 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.7038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2652 loss: 1.2652 2022/06/28 20:03:58 - mmengine - INFO - Epoch(train) [71][200/3757] lr: 1.000e-03 eta: 8:18:58 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.6365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2124 loss: 1.2124 2022/06/28 20:04:04 - mmengine - INFO - Epoch(train) [71][220/3757] lr: 1.000e-03 eta: 8:18:53 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.7112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9149 loss: 0.9149 2022/06/28 20:04:09 - mmengine - INFO - Epoch(train) [71][240/3757] lr: 1.000e-03 eta: 8:18:47 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.9331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5639 loss: 1.5639 2022/06/28 20:04:15 - mmengine - INFO - Epoch(train) [71][260/3757] lr: 1.000e-03 eta: 8:18:42 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.3941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3986 loss: 1.3986 2022/06/28 20:04:20 - mmengine - INFO - Epoch(train) [71][280/3757] lr: 1.000e-03 eta: 8:18:37 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 8.4673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0694 loss: 1.0694 2022/06/28 20:04:24 - mmengine - INFO - Epoch(train) [71][300/3757] lr: 1.000e-03 eta: 8:18:31 time: 0.197 data_time: 0.014 memory: 5150 grad_norm: 8.8559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/06/28 20:04:30 - mmengine - INFO - Epoch(train) [71][320/3757] lr: 1.000e-03 eta: 8:18:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.7307 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4637 loss: 1.4637 2022/06/28 20:04:36 - mmengine - INFO - Epoch(train) [71][340/3757] lr: 1.000e-03 eta: 8:18:21 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.7917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1519 loss: 1.1519 2022/06/28 20:04:41 - mmengine - INFO - Epoch(train) [71][360/3757] lr: 1.000e-03 eta: 8:18:15 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 8.9389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9561 loss: 0.9561 2022/06/28 20:04:46 - mmengine - INFO - Epoch(train) [71][380/3757] lr: 1.000e-03 eta: 8:18:10 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.8715 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2920 loss: 1.2920 2022/06/28 20:04:53 - mmengine - INFO - Epoch(train) [71][400/3757] lr: 1.000e-03 eta: 8:18:05 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 8.2551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3471 loss: 1.3471 2022/06/28 20:04:57 - mmengine - INFO - Epoch(train) [71][420/3757] lr: 1.000e-03 eta: 8:17:59 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 7.9804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5443 loss: 1.5443 2022/06/28 20:05:02 - mmengine - INFO - Epoch(train) [71][440/3757] lr: 1.000e-03 eta: 8:17:54 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.2915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5154 loss: 1.5154 2022/06/28 20:05:08 - mmengine - INFO - Epoch(train) [71][460/3757] lr: 1.000e-03 eta: 8:17:49 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.2466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/06/28 20:05:13 - mmengine - INFO - Epoch(train) [71][480/3757] lr: 1.000e-03 eta: 8:17:43 time: 0.223 data_time: 0.019 memory: 5150 grad_norm: 7.8004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/06/28 20:05:18 - mmengine - INFO - Epoch(train) [71][500/3757] lr: 1.000e-03 eta: 8:17:38 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 7.9348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4509 loss: 1.4509 2022/06/28 20:05:24 - mmengine - INFO - Epoch(train) [71][520/3757] lr: 1.000e-03 eta: 8:17:33 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.6717 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/06/28 20:05:29 - mmengine - INFO - Epoch(train) [71][540/3757] lr: 1.000e-03 eta: 8:17:27 time: 0.218 data_time: 0.017 memory: 5150 grad_norm: 8.0601 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/06/28 20:05:34 - mmengine - INFO - Epoch(train) [71][560/3757] lr: 1.000e-03 eta: 8:17:22 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 7.5847 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6630 loss: 1.6630 2022/06/28 20:05:40 - mmengine - INFO - Epoch(train) [71][580/3757] lr: 1.000e-03 eta: 8:17:17 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2506 loss: 1.2506 2022/06/28 20:05:45 - mmengine - INFO - Epoch(train) [71][600/3757] lr: 1.000e-03 eta: 8:17:12 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 7.4062 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3067 loss: 1.3067 2022/06/28 20:05:51 - mmengine - INFO - Epoch(train) [71][620/3757] lr: 1.000e-03 eta: 8:17:06 time: 0.760 data_time: 0.510 memory: 5150 grad_norm: 6.6388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0675 loss: 1.0675 2022/06/28 20:05:56 - mmengine - INFO - Epoch(train) [71][640/3757] lr: 1.000e-03 eta: 8:17:01 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.1599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4382 loss: 1.4382 2022/06/28 20:06:01 - mmengine - INFO - Epoch(train) [71][660/3757] lr: 1.000e-03 eta: 8:16:56 time: 0.223 data_time: 0.012 memory: 5150 grad_norm: 8.1406 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2063 loss: 1.2063 2022/06/28 20:06:07 - mmengine - INFO - Epoch(train) [71][680/3757] lr: 1.000e-03 eta: 8:16:50 time: 0.217 data_time: 0.042 memory: 5150 grad_norm: 8.7745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2296 loss: 1.2296 2022/06/28 20:06:12 - mmengine - INFO - Epoch(train) [71][700/3757] lr: 1.000e-03 eta: 8:16:45 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.8555 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5157 loss: 1.5157 2022/06/28 20:06:17 - mmengine - INFO - Epoch(train) [71][720/3757] lr: 1.000e-03 eta: 8:16:40 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.6238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6601 loss: 1.6601 2022/06/28 20:06:23 - mmengine - INFO - Epoch(train) [71][740/3757] lr: 1.000e-03 eta: 8:16:35 time: 0.239 data_time: 0.029 memory: 5150 grad_norm: 7.6240 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6444 loss: 1.6444 2022/06/28 20:06:28 - mmengine - INFO - Epoch(train) [71][760/3757] lr: 1.000e-03 eta: 8:16:29 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6823 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4443 loss: 1.4443 2022/06/28 20:06:33 - mmengine - INFO - Epoch(train) [71][780/3757] lr: 1.000e-03 eta: 8:16:24 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.1519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/28 20:06:38 - mmengine - INFO - Epoch(train) [71][800/3757] lr: 1.000e-03 eta: 8:16:18 time: 0.472 data_time: 0.301 memory: 5150 grad_norm: 7.5669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/06/28 20:06:43 - mmengine - INFO - Epoch(train) [71][820/3757] lr: 1.000e-03 eta: 8:16:13 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 7.4869 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3980 loss: 1.3980 2022/06/28 20:06:48 - mmengine - INFO - Epoch(train) [71][840/3757] lr: 1.000e-03 eta: 8:16:07 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 7.3470 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7900 loss: 1.7900 2022/06/28 20:06:54 - mmengine - INFO - Epoch(train) [71][860/3757] lr: 1.000e-03 eta: 8:16:02 time: 0.201 data_time: 0.029 memory: 5150 grad_norm: 8.7325 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4582 loss: 1.4582 2022/06/28 20:07:00 - mmengine - INFO - Epoch(train) [71][880/3757] lr: 1.000e-03 eta: 8:15:57 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6670 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0933 loss: 1.0933 2022/06/28 20:07:05 - mmengine - INFO - Epoch(train) [71][900/3757] lr: 1.000e-03 eta: 8:15:52 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.9171 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0667 loss: 1.0667 2022/06/28 20:07:11 - mmengine - INFO - Epoch(train) [71][920/3757] lr: 1.000e-03 eta: 8:15:47 time: 0.225 data_time: 0.020 memory: 5150 grad_norm: 9.8920 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3342 loss: 1.3342 2022/06/28 20:07:16 - mmengine - INFO - Epoch(train) [71][940/3757] lr: 1.000e-03 eta: 8:15:41 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 8.5787 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1919 loss: 1.1919 2022/06/28 20:07:21 - mmengine - INFO - Epoch(train) [71][960/3757] lr: 1.000e-03 eta: 8:15:36 time: 0.257 data_time: 0.008 memory: 5150 grad_norm: 8.9224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8100 loss: 1.8100 2022/06/28 20:07:26 - mmengine - INFO - Epoch(train) [71][980/3757] lr: 1.000e-03 eta: 8:15:30 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 7.6688 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2953 loss: 1.2953 2022/06/28 20:07:32 - mmengine - INFO - Epoch(train) [71][1000/3757] lr: 1.000e-03 eta: 8:15:25 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.6211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4620 loss: 1.4620 2022/06/28 20:07:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:07:37 - mmengine - INFO - Epoch(train) [71][1020/3757] lr: 1.000e-03 eta: 8:15:20 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.6944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9057 loss: 0.9057 2022/06/28 20:07:42 - mmengine - INFO - Epoch(train) [71][1040/3757] lr: 1.000e-03 eta: 8:15:14 time: 0.198 data_time: 0.024 memory: 5150 grad_norm: 7.0351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/06/28 20:07:47 - mmengine - INFO - Epoch(train) [71][1060/3757] lr: 1.000e-03 eta: 8:15:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.9491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2466 loss: 1.2466 2022/06/28 20:07:53 - mmengine - INFO - Epoch(train) [71][1080/3757] lr: 1.000e-03 eta: 8:15:04 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 7.5309 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1678 loss: 1.1678 2022/06/28 20:07:58 - mmengine - INFO - Epoch(train) [71][1100/3757] lr: 1.000e-03 eta: 8:14:58 time: 0.199 data_time: 0.025 memory: 5150 grad_norm: 6.8325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3363 loss: 1.3363 2022/06/28 20:08:04 - mmengine - INFO - Epoch(train) [71][1120/3757] lr: 1.000e-03 eta: 8:14:53 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 7.8440 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3684 loss: 1.3684 2022/06/28 20:08:09 - mmengine - INFO - Epoch(train) [71][1140/3757] lr: 1.000e-03 eta: 8:14:48 time: 0.210 data_time: 0.032 memory: 5150 grad_norm: 8.1970 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5655 loss: 1.5655 2022/06/28 20:08:15 - mmengine - INFO - Epoch(train) [71][1160/3757] lr: 1.000e-03 eta: 8:14:43 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 8.5816 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.8414 loss: 1.8414 2022/06/28 20:08:20 - mmengine - INFO - Epoch(train) [71][1180/3757] lr: 1.000e-03 eta: 8:14:37 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/06/28 20:08:26 - mmengine - INFO - Epoch(train) [71][1200/3757] lr: 1.000e-03 eta: 8:14:32 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 6.4658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0145 loss: 1.0145 2022/06/28 20:08:31 - mmengine - INFO - Epoch(train) [71][1220/3757] lr: 1.000e-03 eta: 8:14:27 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.9428 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3828 loss: 1.3828 2022/06/28 20:08:36 - mmengine - INFO - Epoch(train) [71][1240/3757] lr: 1.000e-03 eta: 8:14:21 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 6.6348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2249 loss: 1.2249 2022/06/28 20:08:41 - mmengine - INFO - Epoch(train) [71][1260/3757] lr: 1.000e-03 eta: 8:14:16 time: 0.225 data_time: 0.009 memory: 5150 grad_norm: 7.1495 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2064 loss: 1.2064 2022/06/28 20:08:48 - mmengine - INFO - Epoch(train) [71][1280/3757] lr: 1.000e-03 eta: 8:14:11 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.9726 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2322 loss: 1.2322 2022/06/28 20:08:52 - mmengine - INFO - Epoch(train) [71][1300/3757] lr: 1.000e-03 eta: 8:14:05 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 6.6079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1507 loss: 1.1507 2022/06/28 20:08:58 - mmengine - INFO - Epoch(train) [71][1320/3757] lr: 1.000e-03 eta: 8:14:00 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 7.6365 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1447 loss: 1.1447 2022/06/28 20:09:03 - mmengine - INFO - Epoch(train) [71][1340/3757] lr: 1.000e-03 eta: 8:13:55 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 9.0981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6416 loss: 1.6416 2022/06/28 20:09:09 - mmengine - INFO - Epoch(train) [71][1360/3757] lr: 1.000e-03 eta: 8:13:50 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.2056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0274 loss: 1.0274 2022/06/28 20:09:14 - mmengine - INFO - Epoch(train) [71][1380/3757] lr: 1.000e-03 eta: 8:13:44 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.2120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/06/28 20:09:20 - mmengine - INFO - Epoch(train) [71][1400/3757] lr: 1.000e-03 eta: 8:13:39 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2001 loss: 1.2001 2022/06/28 20:09:25 - mmengine - INFO - Epoch(train) [71][1420/3757] lr: 1.000e-03 eta: 8:13:34 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.1814 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5766 loss: 1.5766 2022/06/28 20:09:30 - mmengine - INFO - Epoch(train) [71][1440/3757] lr: 1.000e-03 eta: 8:13:28 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 9.3808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0913 loss: 1.0913 2022/06/28 20:09:35 - mmengine - INFO - Epoch(train) [71][1460/3757] lr: 1.000e-03 eta: 8:13:23 time: 0.379 data_time: 0.209 memory: 5150 grad_norm: 7.9287 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1397 loss: 1.1397 2022/06/28 20:09:42 - mmengine - INFO - Epoch(train) [71][1480/3757] lr: 1.000e-03 eta: 8:13:18 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/06/28 20:09:47 - mmengine - INFO - Epoch(train) [71][1500/3757] lr: 1.000e-03 eta: 8:13:13 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 7.8999 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0108 loss: 1.0108 2022/06/28 20:09:52 - mmengine - INFO - Epoch(train) [71][1520/3757] lr: 1.000e-03 eta: 8:13:08 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.2974 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7960 loss: 1.7960 2022/06/28 20:09:57 - mmengine - INFO - Epoch(train) [71][1540/3757] lr: 1.000e-03 eta: 8:13:02 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.9449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2896 loss: 1.2896 2022/06/28 20:10:03 - mmengine - INFO - Epoch(train) [71][1560/3757] lr: 1.000e-03 eta: 8:12:57 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 9.4323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/06/28 20:10:08 - mmengine - INFO - Epoch(train) [71][1580/3757] lr: 1.000e-03 eta: 8:12:51 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.6626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6003 loss: 1.6003 2022/06/28 20:10:13 - mmengine - INFO - Epoch(train) [71][1600/3757] lr: 1.000e-03 eta: 8:12:46 time: 0.224 data_time: 0.012 memory: 5150 grad_norm: 7.2782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/06/28 20:10:19 - mmengine - INFO - Epoch(train) [71][1620/3757] lr: 1.000e-03 eta: 8:12:41 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 9.4185 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7336 loss: 1.7336 2022/06/28 20:10:25 - mmengine - INFO - Epoch(train) [71][1640/3757] lr: 1.000e-03 eta: 8:12:36 time: 0.697 data_time: 0.008 memory: 5150 grad_norm: 7.2644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/06/28 20:10:30 - mmengine - INFO - Epoch(train) [71][1660/3757] lr: 1.000e-03 eta: 8:12:30 time: 0.710 data_time: 0.010 memory: 5150 grad_norm: 7.5249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4666 loss: 1.4666 2022/06/28 20:10:35 - mmengine - INFO - Epoch(train) [71][1680/3757] lr: 1.000e-03 eta: 8:12:25 time: 0.215 data_time: 0.038 memory: 5150 grad_norm: 8.8746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3298 loss: 1.3298 2022/06/28 20:10:41 - mmengine - INFO - Epoch(train) [71][1700/3757] lr: 1.000e-03 eta: 8:12:20 time: 0.305 data_time: 0.007 memory: 5150 grad_norm: 6.8878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4628 loss: 1.4628 2022/06/28 20:10:46 - mmengine - INFO - Epoch(train) [71][1720/3757] lr: 1.000e-03 eta: 8:12:14 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.2434 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4486 loss: 1.4486 2022/06/28 20:10:51 - mmengine - INFO - Epoch(train) [71][1740/3757] lr: 1.000e-03 eta: 8:12:09 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.8011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6851 loss: 1.6851 2022/06/28 20:10:57 - mmengine - INFO - Epoch(train) [71][1760/3757] lr: 1.000e-03 eta: 8:12:04 time: 0.658 data_time: 0.007 memory: 5150 grad_norm: 8.9736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6082 loss: 1.6082 2022/06/28 20:11:02 - mmengine - INFO - Epoch(train) [71][1780/3757] lr: 1.000e-03 eta: 8:11:58 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.4968 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2309 loss: 1.2309 2022/06/28 20:11:07 - mmengine - INFO - Epoch(train) [71][1800/3757] lr: 1.000e-03 eta: 8:11:53 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.9468 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4058 loss: 1.4058 2022/06/28 20:11:13 - mmengine - INFO - Epoch(train) [71][1820/3757] lr: 1.000e-03 eta: 8:11:48 time: 0.790 data_time: 0.007 memory: 5150 grad_norm: 9.2964 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2625 loss: 1.2625 2022/06/28 20:11:18 - mmengine - INFO - Epoch(train) [71][1840/3757] lr: 1.000e-03 eta: 8:11:42 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 6.5554 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9167 loss: 0.9167 2022/06/28 20:11:23 - mmengine - INFO - Epoch(train) [71][1860/3757] lr: 1.000e-03 eta: 8:11:37 time: 0.210 data_time: 0.019 memory: 5150 grad_norm: 7.8767 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/06/28 20:11:28 - mmengine - INFO - Epoch(train) [71][1880/3757] lr: 1.000e-03 eta: 8:11:32 time: 0.449 data_time: 0.007 memory: 5150 grad_norm: 7.9642 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2901 loss: 1.2901 2022/06/28 20:11:34 - mmengine - INFO - Epoch(train) [71][1900/3757] lr: 1.000e-03 eta: 8:11:26 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.9560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4234 loss: 1.4234 2022/06/28 20:11:39 - mmengine - INFO - Epoch(train) [71][1920/3757] lr: 1.000e-03 eta: 8:11:21 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.6268 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2589 loss: 1.2589 2022/06/28 20:11:44 - mmengine - INFO - Epoch(train) [71][1940/3757] lr: 1.000e-03 eta: 8:11:16 time: 0.227 data_time: 0.038 memory: 5150 grad_norm: 8.7035 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4546 loss: 1.4546 2022/06/28 20:11:49 - mmengine - INFO - Epoch(train) [71][1960/3757] lr: 1.000e-03 eta: 8:11:10 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 9.0881 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7296 loss: 1.7296 2022/06/28 20:11:55 - mmengine - INFO - Epoch(train) [71][1980/3757] lr: 1.000e-03 eta: 8:11:05 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 7.7947 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1090 loss: 1.1090 2022/06/28 20:12:00 - mmengine - INFO - Epoch(train) [71][2000/3757] lr: 1.000e-03 eta: 8:11:00 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 7.8873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1744 loss: 1.1744 2022/06/28 20:12:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:12:05 - mmengine - INFO - Epoch(train) [71][2020/3757] lr: 1.000e-03 eta: 8:10:54 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 7.8412 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0692 loss: 1.0692 2022/06/28 20:12:11 - mmengine - INFO - Epoch(train) [71][2040/3757] lr: 1.000e-03 eta: 8:10:49 time: 0.211 data_time: 0.025 memory: 5150 grad_norm: 7.5241 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3558 loss: 1.3558 2022/06/28 20:12:16 - mmengine - INFO - Epoch(train) [71][2060/3757] lr: 1.000e-03 eta: 8:10:44 time: 0.206 data_time: 0.025 memory: 5150 grad_norm: 9.7801 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.1073 loss: 1.1073 2022/06/28 20:12:21 - mmengine - INFO - Epoch(train) [71][2080/3757] lr: 1.000e-03 eta: 8:10:38 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.1819 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9244 loss: 0.9244 2022/06/28 20:12:26 - mmengine - INFO - Epoch(train) [71][2100/3757] lr: 1.000e-03 eta: 8:10:33 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 7.3859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/06/28 20:12:31 - mmengine - INFO - Epoch(train) [71][2120/3757] lr: 1.000e-03 eta: 8:10:27 time: 0.232 data_time: 0.026 memory: 5150 grad_norm: 7.3669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/06/28 20:12:37 - mmengine - INFO - Epoch(train) [71][2140/3757] lr: 1.000e-03 eta: 8:10:22 time: 0.284 data_time: 0.007 memory: 5150 grad_norm: 7.2194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5675 loss: 1.5675 2022/06/28 20:12:42 - mmengine - INFO - Epoch(train) [71][2160/3757] lr: 1.000e-03 eta: 8:10:17 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 8.6043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3975 loss: 1.3975 2022/06/28 20:12:48 - mmengine - INFO - Epoch(train) [71][2180/3757] lr: 1.000e-03 eta: 8:10:12 time: 0.212 data_time: 0.023 memory: 5150 grad_norm: 8.1479 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2166 loss: 1.2166 2022/06/28 20:12:54 - mmengine - INFO - Epoch(train) [71][2200/3757] lr: 1.000e-03 eta: 8:10:07 time: 0.216 data_time: 0.006 memory: 5150 grad_norm: 8.4019 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1619 loss: 1.1619 2022/06/28 20:13:00 - mmengine - INFO - Epoch(train) [71][2220/3757] lr: 1.000e-03 eta: 8:10:02 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.0120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/06/28 20:13:04 - mmengine - INFO - Epoch(train) [71][2240/3757] lr: 1.000e-03 eta: 8:09:56 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 7.6958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2625 loss: 1.2625 2022/06/28 20:13:10 - mmengine - INFO - Epoch(train) [71][2260/3757] lr: 1.000e-03 eta: 8:09:50 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.7847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/06/28 20:13:15 - mmengine - INFO - Epoch(train) [71][2280/3757] lr: 1.000e-03 eta: 8:09:45 time: 0.220 data_time: 0.010 memory: 5150 grad_norm: 7.3196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3951 loss: 1.3951 2022/06/28 20:13:21 - mmengine - INFO - Epoch(train) [71][2300/3757] lr: 1.000e-03 eta: 8:09:40 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1282 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2070 loss: 1.2070 2022/06/28 20:13:27 - mmengine - INFO - Epoch(train) [71][2320/3757] lr: 1.000e-03 eta: 8:09:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2144 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4900 loss: 1.4900 2022/06/28 20:13:32 - mmengine - INFO - Epoch(train) [71][2340/3757] lr: 1.000e-03 eta: 8:09:30 time: 1.110 data_time: 0.007 memory: 5150 grad_norm: 8.0528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5443 loss: 1.5443 2022/06/28 20:13:37 - mmengine - INFO - Epoch(train) [71][2360/3757] lr: 1.000e-03 eta: 8:09:24 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 8.1216 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4745 loss: 1.4745 2022/06/28 20:13:43 - mmengine - INFO - Epoch(train) [71][2380/3757] lr: 1.000e-03 eta: 8:09:19 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 8.8066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2984 loss: 1.2984 2022/06/28 20:13:47 - mmengine - INFO - Epoch(train) [71][2400/3757] lr: 1.000e-03 eta: 8:09:13 time: 0.212 data_time: 0.019 memory: 5150 grad_norm: 7.1072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5082 loss: 1.5082 2022/06/28 20:13:52 - mmengine - INFO - Epoch(train) [71][2420/3757] lr: 1.000e-03 eta: 8:09:08 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 8.8226 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3258 loss: 1.3258 2022/06/28 20:13:58 - mmengine - INFO - Epoch(train) [71][2440/3757] lr: 1.000e-03 eta: 8:09:03 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.4632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1988 loss: 1.1988 2022/06/28 20:14:03 - mmengine - INFO - Epoch(train) [71][2460/3757] lr: 1.000e-03 eta: 8:08:57 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.9125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1107 loss: 1.1107 2022/06/28 20:14:08 - mmengine - INFO - Epoch(train) [71][2480/3757] lr: 1.000e-03 eta: 8:08:52 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 7.3363 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4027 loss: 1.4027 2022/06/28 20:14:14 - mmengine - INFO - Epoch(train) [71][2500/3757] lr: 1.000e-03 eta: 8:08:47 time: 0.419 data_time: 0.007 memory: 5150 grad_norm: 6.7605 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2603 loss: 1.2603 2022/06/28 20:14:19 - mmengine - INFO - Epoch(train) [71][2520/3757] lr: 1.000e-03 eta: 8:08:41 time: 0.420 data_time: 0.019 memory: 5150 grad_norm: 8.6762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/06/28 20:14:25 - mmengine - INFO - Epoch(train) [71][2540/3757] lr: 1.000e-03 eta: 8:08:36 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 9.0619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1820 loss: 1.1820 2022/06/28 20:14:30 - mmengine - INFO - Epoch(train) [71][2560/3757] lr: 1.000e-03 eta: 8:08:31 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.0109 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4204 loss: 1.4204 2022/06/28 20:14:35 - mmengine - INFO - Epoch(train) [71][2580/3757] lr: 1.000e-03 eta: 8:08:25 time: 0.409 data_time: 0.010 memory: 5150 grad_norm: 9.8033 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/06/28 20:14:41 - mmengine - INFO - Epoch(train) [71][2600/3757] lr: 1.000e-03 eta: 8:08:20 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 9.7037 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5917 loss: 1.5917 2022/06/28 20:14:47 - mmengine - INFO - Epoch(train) [71][2620/3757] lr: 1.000e-03 eta: 8:08:15 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.9075 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5266 loss: 1.5266 2022/06/28 20:14:52 - mmengine - INFO - Epoch(train) [71][2640/3757] lr: 1.000e-03 eta: 8:08:10 time: 0.319 data_time: 0.007 memory: 5150 grad_norm: 8.3282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0678 loss: 1.0678 2022/06/28 20:14:57 - mmengine - INFO - Epoch(train) [71][2660/3757] lr: 1.000e-03 eta: 8:08:04 time: 0.204 data_time: 0.026 memory: 5150 grad_norm: 7.3451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3709 loss: 1.3709 2022/06/28 20:15:03 - mmengine - INFO - Epoch(train) [71][2680/3757] lr: 1.000e-03 eta: 8:07:59 time: 0.200 data_time: 0.022 memory: 5150 grad_norm: 8.9482 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 1.6898 loss: 1.6898 2022/06/28 20:15:08 - mmengine - INFO - Epoch(train) [71][2700/3757] lr: 1.000e-03 eta: 8:07:54 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 9.9561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3797 loss: 1.3797 2022/06/28 20:15:13 - mmengine - INFO - Epoch(train) [71][2720/3757] lr: 1.000e-03 eta: 8:07:49 time: 0.202 data_time: 0.028 memory: 5150 grad_norm: 8.7059 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1576 loss: 1.1576 2022/06/28 20:15:20 - mmengine - INFO - Epoch(train) [71][2740/3757] lr: 1.000e-03 eta: 8:07:44 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 9.6601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4488 loss: 1.4488 2022/06/28 20:15:24 - mmengine - INFO - Epoch(train) [71][2760/3757] lr: 1.000e-03 eta: 8:07:38 time: 0.226 data_time: 0.009 memory: 5150 grad_norm: 7.5533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0423 loss: 1.0423 2022/06/28 20:15:29 - mmengine - INFO - Epoch(train) [71][2780/3757] lr: 1.000e-03 eta: 8:07:32 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 8.3743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/06/28 20:15:34 - mmengine - INFO - Epoch(train) [71][2800/3757] lr: 1.000e-03 eta: 8:07:27 time: 0.246 data_time: 0.008 memory: 5150 grad_norm: 8.1202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2828 loss: 1.2828 2022/06/28 20:15:39 - mmengine - INFO - Epoch(train) [71][2820/3757] lr: 1.000e-03 eta: 8:07:22 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9842 loss: 0.9842 2022/06/28 20:15:45 - mmengine - INFO - Epoch(train) [71][2840/3757] lr: 1.000e-03 eta: 8:07:16 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 7.1694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3427 loss: 1.3427 2022/06/28 20:15:51 - mmengine - INFO - Epoch(train) [71][2860/3757] lr: 1.000e-03 eta: 8:07:11 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.8983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0672 loss: 1.0672 2022/06/28 20:15:57 - mmengine - INFO - Epoch(train) [71][2880/3757] lr: 1.000e-03 eta: 8:07:06 time: 0.237 data_time: 0.017 memory: 5150 grad_norm: 8.5714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4808 loss: 1.4808 2022/06/28 20:16:02 - mmengine - INFO - Epoch(train) [71][2900/3757] lr: 1.000e-03 eta: 8:07:01 time: 0.313 data_time: 0.020 memory: 5150 grad_norm: 9.3372 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5950 loss: 1.5950 2022/06/28 20:16:08 - mmengine - INFO - Epoch(train) [71][2920/3757] lr: 1.000e-03 eta: 8:06:56 time: 0.221 data_time: 0.014 memory: 5150 grad_norm: 8.4872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1068 loss: 1.1068 2022/06/28 20:16:13 - mmengine - INFO - Epoch(train) [71][2940/3757] lr: 1.000e-03 eta: 8:06:50 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.0692 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.7022 loss: 1.7022 2022/06/28 20:16:18 - mmengine - INFO - Epoch(train) [71][2960/3757] lr: 1.000e-03 eta: 8:06:45 time: 0.348 data_time: 0.006 memory: 5150 grad_norm: 7.3285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0531 loss: 1.0531 2022/06/28 20:16:24 - mmengine - INFO - Epoch(train) [71][2980/3757] lr: 1.000e-03 eta: 8:06:40 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.3887 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2771 loss: 1.2771 2022/06/28 20:16:32 - mmengine - INFO - Epoch(train) [71][3000/3757] lr: 1.000e-03 eta: 8:06:36 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 6.9647 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2629 loss: 1.2629 2022/06/28 20:16:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:16:38 - mmengine - INFO - Epoch(train) [71][3020/3757] lr: 1.000e-03 eta: 8:06:30 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 8.3810 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5367 loss: 1.5367 2022/06/28 20:16:42 - mmengine - INFO - Epoch(train) [71][3040/3757] lr: 1.000e-03 eta: 8:06:25 time: 0.222 data_time: 0.021 memory: 5150 grad_norm: 9.3091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2229 loss: 1.2229 2022/06/28 20:16:48 - mmengine - INFO - Epoch(train) [71][3060/3757] lr: 1.000e-03 eta: 8:06:19 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 8.5051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/06/28 20:16:53 - mmengine - INFO - Epoch(train) [71][3080/3757] lr: 1.000e-03 eta: 8:06:14 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 7.3858 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0044 loss: 1.0044 2022/06/28 20:16:58 - mmengine - INFO - Epoch(train) [71][3100/3757] lr: 1.000e-03 eta: 8:06:09 time: 0.459 data_time: 0.010 memory: 5150 grad_norm: 8.6052 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/06/28 20:17:03 - mmengine - INFO - Epoch(train) [71][3120/3757] lr: 1.000e-03 eta: 8:06:03 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.2908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/06/28 20:17:09 - mmengine - INFO - Epoch(train) [71][3140/3757] lr: 1.000e-03 eta: 8:05:58 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 8.5910 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4307 loss: 1.4307 2022/06/28 20:17:14 - mmengine - INFO - Epoch(train) [71][3160/3757] lr: 1.000e-03 eta: 8:05:53 time: 0.435 data_time: 0.017 memory: 5150 grad_norm: 8.0031 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0490 loss: 1.0490 2022/06/28 20:17:20 - mmengine - INFO - Epoch(train) [71][3180/3757] lr: 1.000e-03 eta: 8:05:48 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.2649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/06/28 20:17:26 - mmengine - INFO - Epoch(train) [71][3200/3757] lr: 1.000e-03 eta: 8:05:43 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 10.3618 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1563 loss: 1.1563 2022/06/28 20:17:31 - mmengine - INFO - Epoch(train) [71][3220/3757] lr: 1.000e-03 eta: 8:05:37 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 9.3081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0821 loss: 1.0821 2022/06/28 20:17:36 - mmengine - INFO - Epoch(train) [71][3240/3757] lr: 1.000e-03 eta: 8:05:32 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.7975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0220 loss: 1.0220 2022/06/28 20:17:41 - mmengine - INFO - Epoch(train) [71][3260/3757] lr: 1.000e-03 eta: 8:05:26 time: 0.223 data_time: 0.015 memory: 5150 grad_norm: 8.9741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2492 loss: 1.2492 2022/06/28 20:17:46 - mmengine - INFO - Epoch(train) [71][3280/3757] lr: 1.000e-03 eta: 8:05:21 time: 0.218 data_time: 0.010 memory: 5150 grad_norm: 9.2052 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.6560 loss: 1.6560 2022/06/28 20:17:51 - mmengine - INFO - Epoch(train) [71][3300/3757] lr: 1.000e-03 eta: 8:05:15 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.2138 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4139 loss: 1.4139 2022/06/28 20:17:57 - mmengine - INFO - Epoch(train) [71][3320/3757] lr: 1.000e-03 eta: 8:05:10 time: 1.309 data_time: 0.007 memory: 5150 grad_norm: 8.8335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1563 loss: 1.1563 2022/06/28 20:18:02 - mmengine - INFO - Epoch(train) [71][3340/3757] lr: 1.000e-03 eta: 8:05:05 time: 0.301 data_time: 0.020 memory: 5150 grad_norm: 9.2795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/06/28 20:18:07 - mmengine - INFO - Epoch(train) [71][3360/3757] lr: 1.000e-03 eta: 8:04:59 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7211 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/06/28 20:18:13 - mmengine - INFO - Epoch(train) [71][3380/3757] lr: 1.000e-03 eta: 8:04:54 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.3449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0063 loss: 1.0063 2022/06/28 20:18:18 - mmengine - INFO - Epoch(train) [71][3400/3757] lr: 1.000e-03 eta: 8:04:49 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 7.0780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/06/28 20:18:23 - mmengine - INFO - Epoch(train) [71][3420/3757] lr: 1.000e-03 eta: 8:04:43 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.1608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3533 loss: 1.3533 2022/06/28 20:18:28 - mmengine - INFO - Epoch(train) [71][3440/3757] lr: 1.000e-03 eta: 8:04:38 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 8.7793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4182 loss: 1.4182 2022/06/28 20:18:34 - mmengine - INFO - Epoch(train) [71][3460/3757] lr: 1.000e-03 eta: 8:04:33 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 7.7257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2476 loss: 1.2476 2022/06/28 20:18:40 - mmengine - INFO - Epoch(train) [71][3480/3757] lr: 1.000e-03 eta: 8:04:28 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 8.5856 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/06/28 20:18:45 - mmengine - INFO - Epoch(train) [71][3500/3757] lr: 1.000e-03 eta: 8:04:22 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.5465 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5229 loss: 1.5229 2022/06/28 20:18:50 - mmengine - INFO - Epoch(train) [71][3520/3757] lr: 1.000e-03 eta: 8:04:17 time: 0.386 data_time: 0.212 memory: 5150 grad_norm: 6.8817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7811 loss: 1.7811 2022/06/28 20:18:55 - mmengine - INFO - Epoch(train) [71][3540/3757] lr: 1.000e-03 eta: 8:04:12 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.5182 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0367 loss: 1.0367 2022/06/28 20:19:01 - mmengine - INFO - Epoch(train) [71][3560/3757] lr: 1.000e-03 eta: 8:04:06 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.7778 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2481 loss: 1.2481 2022/06/28 20:19:06 - mmengine - INFO - Epoch(train) [71][3580/3757] lr: 1.000e-03 eta: 8:04:01 time: 0.213 data_time: 0.016 memory: 5150 grad_norm: 9.7741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/06/28 20:19:11 - mmengine - INFO - Epoch(train) [71][3600/3757] lr: 1.000e-03 eta: 8:03:56 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.8176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1908 loss: 1.1908 2022/06/28 20:19:16 - mmengine - INFO - Epoch(train) [71][3620/3757] lr: 1.000e-03 eta: 8:03:50 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.9124 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6163 loss: 1.6163 2022/06/28 20:19:22 - mmengine - INFO - Epoch(train) [71][3640/3757] lr: 1.000e-03 eta: 8:03:45 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.8589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6579 loss: 1.6579 2022/06/28 20:19:27 - mmengine - INFO - Epoch(train) [71][3660/3757] lr: 1.000e-03 eta: 8:03:39 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.5139 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3880 loss: 1.3880 2022/06/28 20:19:33 - mmengine - INFO - Epoch(train) [71][3680/3757] lr: 1.000e-03 eta: 8:03:34 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 8.2416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2142 loss: 1.2142 2022/06/28 20:19:38 - mmengine - INFO - Epoch(train) [71][3700/3757] lr: 1.000e-03 eta: 8:03:29 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.9565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6067 loss: 1.6067 2022/06/28 20:19:44 - mmengine - INFO - Epoch(train) [71][3720/3757] lr: 1.000e-03 eta: 8:03:24 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.4950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5356 loss: 1.5356 2022/06/28 20:19:48 - mmengine - INFO - Epoch(train) [71][3740/3757] lr: 1.000e-03 eta: 8:03:18 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.2335 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3153 loss: 1.3153 2022/06/28 20:19:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:20:25 - mmengine - INFO - Epoch(val) [71][20/310] eta: 0:05:52 time: 1.051 data_time: 0.392 memory: 9746 2022/06/28 20:20:46 - mmengine - INFO - Epoch(val) [71][40/310] eta: 0:04:41 time: 1.024 data_time: 0.398 memory: 9746 2022/06/28 20:21:10 - mmengine - INFO - Epoch(val) [71][60/310] eta: 0:04:43 time: 1.130 data_time: 0.482 memory: 9746 2022/06/28 20:21:34 - mmengine - INFO - Epoch(val) [71][80/310] eta: 0:05:01 time: 1.066 data_time: 0.394 memory: 9746 2022/06/28 20:21:57 - mmengine - INFO - Epoch(val) [71][100/310] eta: 0:04:15 time: 3.600 data_time: 2.932 memory: 9746 2022/06/28 20:22:17 - mmengine - INFO - Epoch(val) [71][120/310] eta: 0:03:12 time: 1.065 data_time: 0.411 memory: 9746 2022/06/28 20:22:41 - mmengine - INFO - Epoch(val) [71][140/310] eta: 0:03:16 time: 1.047 data_time: 0.404 memory: 9746 2022/06/28 20:23:07 - mmengine - INFO - Epoch(val) [71][160/310] eta: 0:03:22 time: 3.861 data_time: 3.172 memory: 9746 2022/06/28 20:23:30 - mmengine - INFO - Epoch(val) [71][180/310] eta: 0:02:48 time: 1.154 data_time: 0.508 memory: 9746 2022/06/28 20:23:53 - mmengine - INFO - Epoch(val) [71][200/310] eta: 0:02:09 time: 1.071 data_time: 0.422 memory: 9746 2022/06/28 20:24:14 - mmengine - INFO - Epoch(val) [71][220/310] eta: 0:01:36 time: 1.142 data_time: 0.504 memory: 9746 2022/06/28 20:24:36 - mmengine - INFO - Epoch(val) [71][240/310] eta: 0:01:14 time: 0.923 data_time: 0.280 memory: 9746 2022/06/28 20:24:59 - mmengine - INFO - Epoch(val) [71][260/310] eta: 0:00:59 time: 1.193 data_time: 0.541 memory: 9746 2022/06/28 20:25:23 - mmengine - INFO - Epoch(val) [71][280/310] eta: 0:00:35 time: 1.053 data_time: 0.421 memory: 9746 2022/06/28 20:25:42 - mmengine - INFO - Epoch(val) [71][300/310] eta: 0:00:07 time: 0.653 data_time: 0.078 memory: 9746 2022/06/28 20:25:55 - mmengine - INFO - Epoch(val) [71][310/310] acc/top1: 0.7088 acc/top5: 0.8982 acc/mean1: 0.7087 2022/06/28 20:26:04 - mmengine - INFO - Epoch(train) [72][20/3757] lr: 1.000e-03 eta: 8:03:08 time: 0.200 data_time: 0.007 memory: 9746 grad_norm: 8.2920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1001 loss: 1.1001 2022/06/28 20:26:10 - mmengine - INFO - Epoch(train) [72][40/3757] lr: 1.000e-03 eta: 8:03:03 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.6404 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2260 loss: 1.2260 2022/06/28 20:26:15 - mmengine - INFO - Epoch(train) [72][60/3757] lr: 1.000e-03 eta: 8:02:58 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.0319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/06/28 20:26:21 - mmengine - INFO - Epoch(train) [72][80/3757] lr: 1.000e-03 eta: 8:02:53 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.7748 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5714 loss: 1.5714 2022/06/28 20:26:26 - mmengine - INFO - Epoch(train) [72][100/3757] lr: 1.000e-03 eta: 8:02:47 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.8848 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1888 loss: 1.1888 2022/06/28 20:26:31 - mmengine - INFO - Epoch(train) [72][120/3757] lr: 1.000e-03 eta: 8:02:42 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.8875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/06/28 20:26:36 - mmengine - INFO - Epoch(train) [72][140/3757] lr: 1.000e-03 eta: 8:02:36 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.8663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1442 loss: 1.1442 2022/06/28 20:26:41 - mmengine - INFO - Epoch(train) [72][160/3757] lr: 1.000e-03 eta: 8:02:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.1079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9376 loss: 0.9376 2022/06/28 20:26:47 - mmengine - INFO - Epoch(train) [72][180/3757] lr: 1.000e-03 eta: 8:02:26 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.0266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3569 loss: 1.3569 2022/06/28 20:26:53 - mmengine - INFO - Epoch(train) [72][200/3757] lr: 1.000e-03 eta: 8:02:21 time: 1.109 data_time: 0.008 memory: 5150 grad_norm: 8.6541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1694 loss: 1.1694 2022/06/28 20:26:58 - mmengine - INFO - Epoch(train) [72][220/3757] lr: 1.000e-03 eta: 8:02:16 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.9589 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3478 loss: 1.3478 2022/06/28 20:27:05 - mmengine - INFO - Epoch(train) [72][240/3757] lr: 1.000e-03 eta: 8:02:11 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.6214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0500 loss: 1.0500 2022/06/28 20:27:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:27:09 - mmengine - INFO - Epoch(train) [72][260/3757] lr: 1.000e-03 eta: 8:02:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.5024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2271 loss: 1.2271 2022/06/28 20:27:15 - mmengine - INFO - Epoch(train) [72][280/3757] lr: 1.000e-03 eta: 8:02:00 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.2917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/06/28 20:27:20 - mmengine - INFO - Epoch(train) [72][300/3757] lr: 1.000e-03 eta: 8:01:54 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 7.9557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0516 loss: 1.0516 2022/06/28 20:27:26 - mmengine - INFO - Epoch(train) [72][320/3757] lr: 1.000e-03 eta: 8:01:49 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.3366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2292 loss: 1.2292 2022/06/28 20:27:31 - mmengine - INFO - Epoch(train) [72][340/3757] lr: 1.000e-03 eta: 8:01:44 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.2522 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5992 loss: 1.5992 2022/06/28 20:27:36 - mmengine - INFO - Epoch(train) [72][360/3757] lr: 1.000e-03 eta: 8:01:38 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/06/28 20:27:42 - mmengine - INFO - Epoch(train) [72][380/3757] lr: 1.000e-03 eta: 8:01:33 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.1888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0404 loss: 1.0404 2022/06/28 20:27:48 - mmengine - INFO - Epoch(train) [72][400/3757] lr: 1.000e-03 eta: 8:01:28 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 8.3829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1835 loss: 1.1835 2022/06/28 20:27:52 - mmengine - INFO - Epoch(train) [72][420/3757] lr: 1.000e-03 eta: 8:01:23 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.4579 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4084 loss: 1.4084 2022/06/28 20:27:58 - mmengine - INFO - Epoch(train) [72][440/3757] lr: 1.000e-03 eta: 8:01:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.3187 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3017 loss: 1.3017 2022/06/28 20:28:03 - mmengine - INFO - Epoch(train) [72][460/3757] lr: 1.000e-03 eta: 8:01:12 time: 0.291 data_time: 0.007 memory: 5150 grad_norm: 6.5817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4969 loss: 1.4969 2022/06/28 20:28:08 - mmengine - INFO - Epoch(train) [72][480/3757] lr: 1.000e-03 eta: 8:01:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.6278 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5078 loss: 1.5078 2022/06/28 20:28:14 - mmengine - INFO - Epoch(train) [72][500/3757] lr: 1.000e-03 eta: 8:01:01 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 8.1697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/06/28 20:28:19 - mmengine - INFO - Epoch(train) [72][520/3757] lr: 1.000e-03 eta: 8:00:56 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 8.1382 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4408 loss: 1.4408 2022/06/28 20:28:25 - mmengine - INFO - Epoch(train) [72][540/3757] lr: 1.000e-03 eta: 8:00:51 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 6.9168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4590 loss: 1.4590 2022/06/28 20:28:30 - mmengine - INFO - Epoch(train) [72][560/3757] lr: 1.000e-03 eta: 8:00:45 time: 0.214 data_time: 0.013 memory: 5150 grad_norm: 9.0076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3897 loss: 1.3897 2022/06/28 20:28:35 - mmengine - INFO - Epoch(train) [72][580/3757] lr: 1.000e-03 eta: 8:00:40 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.9621 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1468 loss: 1.1468 2022/06/28 20:28:41 - mmengine - INFO - Epoch(train) [72][600/3757] lr: 1.000e-03 eta: 8:00:35 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 8.1542 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3116 loss: 1.3116 2022/06/28 20:28:46 - mmengine - INFO - Epoch(train) [72][620/3757] lr: 1.000e-03 eta: 8:00:29 time: 0.247 data_time: 0.018 memory: 5150 grad_norm: 7.5963 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6125 loss: 1.6125 2022/06/28 20:28:50 - mmengine - INFO - Epoch(train) [72][640/3757] lr: 1.000e-03 eta: 8:00:24 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.9781 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1862 loss: 1.1862 2022/06/28 20:28:56 - mmengine - INFO - Epoch(train) [72][660/3757] lr: 1.000e-03 eta: 8:00:18 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 9.2527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9542 loss: 0.9542 2022/06/28 20:29:01 - mmengine - INFO - Epoch(train) [72][680/3757] lr: 1.000e-03 eta: 8:00:13 time: 0.225 data_time: 0.014 memory: 5150 grad_norm: 10.2125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3487 loss: 1.3487 2022/06/28 20:29:06 - mmengine - INFO - Epoch(train) [72][700/3757] lr: 1.000e-03 eta: 8:00:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5226 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2435 loss: 1.2435 2022/06/28 20:29:12 - mmengine - INFO - Epoch(train) [72][720/3757] lr: 1.000e-03 eta: 8:00:02 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 9.2597 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/28 20:29:17 - mmengine - INFO - Epoch(train) [72][740/3757] lr: 1.000e-03 eta: 7:59:57 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 7.8281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2342 loss: 1.2342 2022/06/28 20:29:24 - mmengine - INFO - Epoch(train) [72][760/3757] lr: 1.000e-03 eta: 7:59:52 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 6.2514 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3317 loss: 1.3317 2022/06/28 20:29:28 - mmengine - INFO - Epoch(train) [72][780/3757] lr: 1.000e-03 eta: 7:59:47 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 7.7352 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2690 loss: 1.2690 2022/06/28 20:29:33 - mmengine - INFO - Epoch(train) [72][800/3757] lr: 1.000e-03 eta: 7:59:41 time: 0.428 data_time: 0.016 memory: 5150 grad_norm: 8.2821 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9106 loss: 0.9106 2022/06/28 20:29:40 - mmengine - INFO - Epoch(train) [72][820/3757] lr: 1.000e-03 eta: 7:59:36 time: 0.251 data_time: 0.008 memory: 5150 grad_norm: 9.1627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1724 loss: 1.1724 2022/06/28 20:29:46 - mmengine - INFO - Epoch(train) [72][840/3757] lr: 1.000e-03 eta: 7:59:31 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.5284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4262 loss: 1.4262 2022/06/28 20:29:51 - mmengine - INFO - Epoch(train) [72][860/3757] lr: 1.000e-03 eta: 7:59:26 time: 0.930 data_time: 0.755 memory: 5150 grad_norm: 9.1035 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3599 loss: 1.3599 2022/06/28 20:29:56 - mmengine - INFO - Epoch(train) [72][880/3757] lr: 1.000e-03 eta: 7:59:20 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.9134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8074 loss: 0.8074 2022/06/28 20:30:01 - mmengine - INFO - Epoch(train) [72][900/3757] lr: 1.000e-03 eta: 7:59:15 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.1382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3605 loss: 1.3605 2022/06/28 20:30:06 - mmengine - INFO - Epoch(train) [72][920/3757] lr: 1.000e-03 eta: 7:59:10 time: 0.199 data_time: 0.029 memory: 5150 grad_norm: 7.8898 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2895 loss: 1.2895 2022/06/28 20:30:11 - mmengine - INFO - Epoch(train) [72][940/3757] lr: 1.000e-03 eta: 7:59:04 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 8.6399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6189 loss: 1.6189 2022/06/28 20:30:17 - mmengine - INFO - Epoch(train) [72][960/3757] lr: 1.000e-03 eta: 7:58:59 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.0162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1646 loss: 1.1646 2022/06/28 20:30:23 - mmengine - INFO - Epoch(train) [72][980/3757] lr: 1.000e-03 eta: 7:58:54 time: 1.815 data_time: 1.629 memory: 5150 grad_norm: 7.9007 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7760 loss: 0.7760 2022/06/28 20:30:28 - mmengine - INFO - Epoch(train) [72][1000/3757] lr: 1.000e-03 eta: 7:58:49 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 8.1031 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4030 loss: 1.4030 2022/06/28 20:30:34 - mmengine - INFO - Epoch(train) [72][1020/3757] lr: 1.000e-03 eta: 7:58:43 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 9.1814 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6485 loss: 1.6485 2022/06/28 20:30:39 - mmengine - INFO - Epoch(train) [72][1040/3757] lr: 1.000e-03 eta: 7:58:38 time: 1.059 data_time: 0.889 memory: 5150 grad_norm: 8.5193 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0823 loss: 1.0823 2022/06/28 20:30:44 - mmengine - INFO - Epoch(train) [72][1060/3757] lr: 1.000e-03 eta: 7:58:33 time: 0.240 data_time: 0.007 memory: 5150 grad_norm: 9.0022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7342 loss: 0.7342 2022/06/28 20:30:50 - mmengine - INFO - Epoch(train) [72][1080/3757] lr: 1.000e-03 eta: 7:58:27 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.0327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/06/28 20:30:55 - mmengine - INFO - Epoch(train) [72][1100/3757] lr: 1.000e-03 eta: 7:58:22 time: 0.549 data_time: 0.372 memory: 5150 grad_norm: 7.1750 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1537 loss: 1.1537 2022/06/28 20:31:00 - mmengine - INFO - Epoch(train) [72][1120/3757] lr: 1.000e-03 eta: 7:58:17 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.5881 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5899 loss: 1.5899 2022/06/28 20:31:06 - mmengine - INFO - Epoch(train) [72][1140/3757] lr: 1.000e-03 eta: 7:58:12 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.8138 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/06/28 20:31:11 - mmengine - INFO - Epoch(train) [72][1160/3757] lr: 1.000e-03 eta: 7:58:06 time: 0.766 data_time: 0.592 memory: 5150 grad_norm: 8.6617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/06/28 20:31:16 - mmengine - INFO - Epoch(train) [72][1180/3757] lr: 1.000e-03 eta: 7:58:01 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.7206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1241 loss: 1.1241 2022/06/28 20:31:22 - mmengine - INFO - Epoch(train) [72][1200/3757] lr: 1.000e-03 eta: 7:57:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.8004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/06/28 20:31:27 - mmengine - INFO - Epoch(train) [72][1220/3757] lr: 1.000e-03 eta: 7:57:50 time: 1.059 data_time: 0.884 memory: 5150 grad_norm: 7.8292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2228 loss: 1.2228 2022/06/28 20:31:32 - mmengine - INFO - Epoch(train) [72][1240/3757] lr: 1.000e-03 eta: 7:57:44 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 9.5362 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5062 loss: 1.5062 2022/06/28 20:31:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:31:38 - mmengine - INFO - Epoch(train) [72][1260/3757] lr: 1.000e-03 eta: 7:57:39 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.4932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4261 loss: 1.4261 2022/06/28 20:31:43 - mmengine - INFO - Epoch(train) [72][1280/3757] lr: 1.000e-03 eta: 7:57:34 time: 0.198 data_time: 0.028 memory: 5150 grad_norm: 7.1625 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3750 loss: 1.3750 2022/06/28 20:31:48 - mmengine - INFO - Epoch(train) [72][1300/3757] lr: 1.000e-03 eta: 7:57:29 time: 0.210 data_time: 0.017 memory: 5150 grad_norm: 7.9361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4914 loss: 1.4914 2022/06/28 20:31:54 - mmengine - INFO - Epoch(train) [72][1320/3757] lr: 1.000e-03 eta: 7:57:23 time: 0.284 data_time: 0.007 memory: 5150 grad_norm: 9.0229 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3290 loss: 1.3290 2022/06/28 20:31:58 - mmengine - INFO - Epoch(train) [72][1340/3757] lr: 1.000e-03 eta: 7:57:18 time: 0.394 data_time: 0.212 memory: 5150 grad_norm: 6.8830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/06/28 20:32:04 - mmengine - INFO - Epoch(train) [72][1360/3757] lr: 1.000e-03 eta: 7:57:13 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 9.0921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/06/28 20:32:09 - mmengine - INFO - Epoch(train) [72][1380/3757] lr: 1.000e-03 eta: 7:57:07 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.7206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2342 loss: 1.2342 2022/06/28 20:32:15 - mmengine - INFO - Epoch(train) [72][1400/3757] lr: 1.000e-03 eta: 7:57:02 time: 0.213 data_time: 0.037 memory: 5150 grad_norm: 8.8455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2957 loss: 1.2957 2022/06/28 20:32:20 - mmengine - INFO - Epoch(train) [72][1420/3757] lr: 1.000e-03 eta: 7:56:57 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 7.8309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/06/28 20:32:26 - mmengine - INFO - Epoch(train) [72][1440/3757] lr: 1.000e-03 eta: 7:56:52 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.1361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3970 loss: 1.3970 2022/06/28 20:32:31 - mmengine - INFO - Epoch(train) [72][1460/3757] lr: 1.000e-03 eta: 7:56:46 time: 0.261 data_time: 0.082 memory: 5150 grad_norm: 8.6122 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3379 loss: 1.3379 2022/06/28 20:32:36 - mmengine - INFO - Epoch(train) [72][1480/3757] lr: 1.000e-03 eta: 7:56:41 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 6.8577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3024 loss: 1.3024 2022/06/28 20:32:42 - mmengine - INFO - Epoch(train) [72][1500/3757] lr: 1.000e-03 eta: 7:56:36 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.0976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3262 loss: 1.3262 2022/06/28 20:32:47 - mmengine - INFO - Epoch(train) [72][1520/3757] lr: 1.000e-03 eta: 7:56:30 time: 0.211 data_time: 0.034 memory: 5150 grad_norm: 8.1150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5071 loss: 1.5071 2022/06/28 20:32:52 - mmengine - INFO - Epoch(train) [72][1540/3757] lr: 1.000e-03 eta: 7:56:25 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 8.0647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5754 loss: 1.5754 2022/06/28 20:32:58 - mmengine - INFO - Epoch(train) [72][1560/3757] lr: 1.000e-03 eta: 7:56:19 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.6154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/06/28 20:33:03 - mmengine - INFO - Epoch(train) [72][1580/3757] lr: 1.000e-03 eta: 7:56:14 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 7.5776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/06/28 20:33:08 - mmengine - INFO - Epoch(train) [72][1600/3757] lr: 1.000e-03 eta: 7:56:09 time: 0.220 data_time: 0.013 memory: 5150 grad_norm: 9.3028 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0209 loss: 1.0209 2022/06/28 20:33:14 - mmengine - INFO - Epoch(train) [72][1620/3757] lr: 1.000e-03 eta: 7:56:04 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.1849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0479 loss: 1.0479 2022/06/28 20:33:18 - mmengine - INFO - Epoch(train) [72][1640/3757] lr: 1.000e-03 eta: 7:55:58 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 8.5831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3233 loss: 1.3233 2022/06/28 20:33:25 - mmengine - INFO - Epoch(train) [72][1660/3757] lr: 1.000e-03 eta: 7:55:53 time: 0.197 data_time: 0.028 memory: 5150 grad_norm: 7.6310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2821 loss: 1.2821 2022/06/28 20:33:30 - mmengine - INFO - Epoch(train) [72][1680/3757] lr: 1.000e-03 eta: 7:55:48 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 7.9211 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1579 loss: 1.1579 2022/06/28 20:33:35 - mmengine - INFO - Epoch(train) [72][1700/3757] lr: 1.000e-03 eta: 7:55:42 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 9.1219 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4249 loss: 1.4249 2022/06/28 20:33:40 - mmengine - INFO - Epoch(train) [72][1720/3757] lr: 1.000e-03 eta: 7:55:37 time: 0.210 data_time: 0.034 memory: 5150 grad_norm: 7.4409 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2878 loss: 1.2878 2022/06/28 20:33:46 - mmengine - INFO - Epoch(train) [72][1740/3757] lr: 1.000e-03 eta: 7:55:32 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.6279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/06/28 20:33:51 - mmengine - INFO - Epoch(train) [72][1760/3757] lr: 1.000e-03 eta: 7:55:26 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.0922 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4205 loss: 1.4205 2022/06/28 20:33:57 - mmengine - INFO - Epoch(train) [72][1780/3757] lr: 1.000e-03 eta: 7:55:21 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 7.2272 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2843 loss: 1.2843 2022/06/28 20:34:03 - mmengine - INFO - Epoch(train) [72][1800/3757] lr: 1.000e-03 eta: 7:55:16 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 7.8335 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4689 loss: 1.4689 2022/06/28 20:34:08 - mmengine - INFO - Epoch(train) [72][1820/3757] lr: 1.000e-03 eta: 7:55:11 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.9100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0893 loss: 1.0893 2022/06/28 20:34:13 - mmengine - INFO - Epoch(train) [72][1840/3757] lr: 1.000e-03 eta: 7:55:05 time: 0.201 data_time: 0.021 memory: 5150 grad_norm: 9.5936 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/06/28 20:34:19 - mmengine - INFO - Epoch(train) [72][1860/3757] lr: 1.000e-03 eta: 7:55:00 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 8.2324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/06/28 20:34:23 - mmengine - INFO - Epoch(train) [72][1880/3757] lr: 1.000e-03 eta: 7:54:54 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 7.2621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/06/28 20:34:29 - mmengine - INFO - Epoch(train) [72][1900/3757] lr: 1.000e-03 eta: 7:54:49 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.9906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0113 loss: 1.0113 2022/06/28 20:34:35 - mmengine - INFO - Epoch(train) [72][1920/3757] lr: 1.000e-03 eta: 7:54:44 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 9.1607 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5134 loss: 1.5134 2022/06/28 20:34:39 - mmengine - INFO - Epoch(train) [72][1940/3757] lr: 1.000e-03 eta: 7:54:38 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.9795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0609 loss: 1.0609 2022/06/28 20:34:44 - mmengine - INFO - Epoch(train) [72][1960/3757] lr: 1.000e-03 eta: 7:54:33 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.9946 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4003 loss: 1.4003 2022/06/28 20:34:50 - mmengine - INFO - Epoch(train) [72][1980/3757] lr: 1.000e-03 eta: 7:54:28 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.9148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8796 loss: 0.8796 2022/06/28 20:34:55 - mmengine - INFO - Epoch(train) [72][2000/3757] lr: 1.000e-03 eta: 7:54:22 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 6.8415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3787 loss: 1.3787 2022/06/28 20:35:01 - mmengine - INFO - Epoch(train) [72][2020/3757] lr: 1.000e-03 eta: 7:54:17 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.1313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2832 loss: 1.2832 2022/06/28 20:35:06 - mmengine - INFO - Epoch(train) [72][2040/3757] lr: 1.000e-03 eta: 7:54:12 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 8.0509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4183 loss: 1.4183 2022/06/28 20:35:12 - mmengine - INFO - Epoch(train) [72][2060/3757] lr: 1.000e-03 eta: 7:54:07 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 8.9513 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4999 loss: 1.4999 2022/06/28 20:35:17 - mmengine - INFO - Epoch(train) [72][2080/3757] lr: 1.000e-03 eta: 7:54:01 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.7371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6382 loss: 1.6382 2022/06/28 20:35:22 - mmengine - INFO - Epoch(train) [72][2100/3757] lr: 1.000e-03 eta: 7:53:56 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.9235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3505 loss: 1.3505 2022/06/28 20:35:27 - mmengine - INFO - Epoch(train) [72][2120/3757] lr: 1.000e-03 eta: 7:53:50 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.7246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1748 loss: 1.1748 2022/06/28 20:35:33 - mmengine - INFO - Epoch(train) [72][2140/3757] lr: 1.000e-03 eta: 7:53:45 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.0803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/06/28 20:35:38 - mmengine - INFO - Epoch(train) [72][2160/3757] lr: 1.000e-03 eta: 7:53:40 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 8.2815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2385 loss: 1.2385 2022/06/28 20:35:43 - mmengine - INFO - Epoch(train) [72][2180/3757] lr: 1.000e-03 eta: 7:53:35 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 6.7921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4523 loss: 1.4523 2022/06/28 20:35:49 - mmengine - INFO - Epoch(train) [72][2200/3757] lr: 1.000e-03 eta: 7:53:29 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.1831 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/06/28 20:35:55 - mmengine - INFO - Epoch(train) [72][2220/3757] lr: 1.000e-03 eta: 7:53:24 time: 0.238 data_time: 0.008 memory: 5150 grad_norm: 8.4277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1103 loss: 1.1103 2022/06/28 20:36:00 - mmengine - INFO - Epoch(train) [72][2240/3757] lr: 1.000e-03 eta: 7:53:19 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.6691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2593 loss: 1.2593 2022/06/28 20:36:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:36:06 - mmengine - INFO - Epoch(train) [72][2260/3757] lr: 1.000e-03 eta: 7:53:14 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.8222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/06/28 20:36:11 - mmengine - INFO - Epoch(train) [72][2280/3757] lr: 1.000e-03 eta: 7:53:08 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.3499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/06/28 20:36:16 - mmengine - INFO - Epoch(train) [72][2300/3757] lr: 1.000e-03 eta: 7:53:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.9577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8504 loss: 0.8504 2022/06/28 20:36:21 - mmengine - INFO - Epoch(train) [72][2320/3757] lr: 1.000e-03 eta: 7:52:57 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.1127 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5610 loss: 1.5610 2022/06/28 20:36:26 - mmengine - INFO - Epoch(train) [72][2340/3757] lr: 1.000e-03 eta: 7:52:52 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.2614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5513 loss: 1.5513 2022/06/28 20:36:31 - mmengine - INFO - Epoch(train) [72][2360/3757] lr: 1.000e-03 eta: 7:52:46 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.9922 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4151 loss: 1.4151 2022/06/28 20:36:37 - mmengine - INFO - Epoch(train) [72][2380/3757] lr: 1.000e-03 eta: 7:52:41 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.3319 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5147 loss: 1.5147 2022/06/28 20:36:42 - mmengine - INFO - Epoch(train) [72][2400/3757] lr: 1.000e-03 eta: 7:52:36 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2155 loss: 1.2155 2022/06/28 20:36:47 - mmengine - INFO - Epoch(train) [72][2420/3757] lr: 1.000e-03 eta: 7:52:31 time: 0.248 data_time: 0.008 memory: 5150 grad_norm: 7.4912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4208 loss: 1.4208 2022/06/28 20:36:53 - mmengine - INFO - Epoch(train) [72][2440/3757] lr: 1.000e-03 eta: 7:52:25 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.9892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3842 loss: 1.3842 2022/06/28 20:36:58 - mmengine - INFO - Epoch(train) [72][2460/3757] lr: 1.000e-03 eta: 7:52:20 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.9318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3660 loss: 1.3660 2022/06/28 20:37:03 - mmengine - INFO - Epoch(train) [72][2480/3757] lr: 1.000e-03 eta: 7:52:15 time: 0.403 data_time: 0.009 memory: 5150 grad_norm: 8.4058 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2556 loss: 1.2556 2022/06/28 20:37:09 - mmengine - INFO - Epoch(train) [72][2500/3757] lr: 1.000e-03 eta: 7:52:10 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.2286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/06/28 20:37:15 - mmengine - INFO - Epoch(train) [72][2520/3757] lr: 1.000e-03 eta: 7:52:04 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 8.5955 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1547 loss: 1.1547 2022/06/28 20:37:20 - mmengine - INFO - Epoch(train) [72][2540/3757] lr: 1.000e-03 eta: 7:51:59 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.7818 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4106 loss: 1.4106 2022/06/28 20:37:25 - mmengine - INFO - Epoch(train) [72][2560/3757] lr: 1.000e-03 eta: 7:51:53 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5701 loss: 1.5701 2022/06/28 20:37:31 - mmengine - INFO - Epoch(train) [72][2580/3757] lr: 1.000e-03 eta: 7:51:48 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.7124 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3861 loss: 1.3861 2022/06/28 20:37:36 - mmengine - INFO - Epoch(train) [72][2600/3757] lr: 1.000e-03 eta: 7:51:43 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.8320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3336 loss: 1.3336 2022/06/28 20:37:41 - mmengine - INFO - Epoch(train) [72][2620/3757] lr: 1.000e-03 eta: 7:51:38 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.0080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0924 loss: 1.0924 2022/06/28 20:37:47 - mmengine - INFO - Epoch(train) [72][2640/3757] lr: 1.000e-03 eta: 7:51:32 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.6304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2587 loss: 1.2587 2022/06/28 20:37:51 - mmengine - INFO - Epoch(train) [72][2660/3757] lr: 1.000e-03 eta: 7:51:27 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.8830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1691 loss: 1.1691 2022/06/28 20:37:57 - mmengine - INFO - Epoch(train) [72][2680/3757] lr: 1.000e-03 eta: 7:51:21 time: 0.269 data_time: 0.008 memory: 5150 grad_norm: 8.8560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2044 loss: 1.2044 2022/06/28 20:38:02 - mmengine - INFO - Epoch(train) [72][2700/3757] lr: 1.000e-03 eta: 7:51:16 time: 0.218 data_time: 0.013 memory: 5150 grad_norm: 8.1650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0764 loss: 1.0764 2022/06/28 20:38:07 - mmengine - INFO - Epoch(train) [72][2720/3757] lr: 1.000e-03 eta: 7:51:11 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.8728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1594 loss: 1.1594 2022/06/28 20:38:13 - mmengine - INFO - Epoch(train) [72][2740/3757] lr: 1.000e-03 eta: 7:51:05 time: 0.538 data_time: 0.007 memory: 5150 grad_norm: 8.2843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3112 loss: 1.3112 2022/06/28 20:38:18 - mmengine - INFO - Epoch(train) [72][2760/3757] lr: 1.000e-03 eta: 7:51:00 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.4268 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2028 loss: 1.2028 2022/06/28 20:38:23 - mmengine - INFO - Epoch(train) [72][2780/3757] lr: 1.000e-03 eta: 7:50:55 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.2126 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4136 loss: 1.4136 2022/06/28 20:38:29 - mmengine - INFO - Epoch(train) [72][2800/3757] lr: 1.000e-03 eta: 7:50:50 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.7750 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5135 loss: 1.5135 2022/06/28 20:38:36 - mmengine - INFO - Epoch(train) [72][2820/3757] lr: 1.000e-03 eta: 7:50:45 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.1392 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3287 loss: 1.3287 2022/06/28 20:38:40 - mmengine - INFO - Epoch(train) [72][2840/3757] lr: 1.000e-03 eta: 7:50:39 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.7085 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0164 loss: 1.0164 2022/06/28 20:38:46 - mmengine - INFO - Epoch(train) [72][2860/3757] lr: 1.000e-03 eta: 7:50:34 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.1091 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4284 loss: 1.4284 2022/06/28 20:38:51 - mmengine - INFO - Epoch(train) [72][2880/3757] lr: 1.000e-03 eta: 7:50:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/06/28 20:38:57 - mmengine - INFO - Epoch(train) [72][2900/3757] lr: 1.000e-03 eta: 7:50:23 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.0182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2645 loss: 1.2645 2022/06/28 20:39:02 - mmengine - INFO - Epoch(train) [72][2920/3757] lr: 1.000e-03 eta: 7:50:18 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.7758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2420 loss: 1.2420 2022/06/28 20:39:07 - mmengine - INFO - Epoch(train) [72][2940/3757] lr: 1.000e-03 eta: 7:50:13 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 6.6124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9769 loss: 0.9769 2022/06/28 20:39:12 - mmengine - INFO - Epoch(train) [72][2960/3757] lr: 1.000e-03 eta: 7:50:07 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.2441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1210 loss: 1.1210 2022/06/28 20:39:18 - mmengine - INFO - Epoch(train) [72][2980/3757] lr: 1.000e-03 eta: 7:50:02 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 8.4325 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3583 loss: 1.3583 2022/06/28 20:39:22 - mmengine - INFO - Epoch(train) [72][3000/3757] lr: 1.000e-03 eta: 7:49:56 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.0704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5726 loss: 1.5726 2022/06/28 20:39:27 - mmengine - INFO - Epoch(train) [72][3020/3757] lr: 1.000e-03 eta: 7:49:51 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.5615 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6289 loss: 1.6289 2022/06/28 20:39:33 - mmengine - INFO - Epoch(train) [72][3040/3757] lr: 1.000e-03 eta: 7:49:46 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.0662 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5992 loss: 1.5992 2022/06/28 20:39:38 - mmengine - INFO - Epoch(train) [72][3060/3757] lr: 1.000e-03 eta: 7:49:40 time: 0.762 data_time: 0.012 memory: 5150 grad_norm: 8.5340 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2313 loss: 1.2313 2022/06/28 20:39:43 - mmengine - INFO - Epoch(train) [72][3080/3757] lr: 1.000e-03 eta: 7:49:35 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.3965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3635 loss: 1.3635 2022/06/28 20:39:49 - mmengine - INFO - Epoch(train) [72][3100/3757] lr: 1.000e-03 eta: 7:49:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.1129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4826 loss: 1.4826 2022/06/28 20:39:55 - mmengine - INFO - Epoch(train) [72][3120/3757] lr: 1.000e-03 eta: 7:49:25 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 8.5425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3585 loss: 1.3585 2022/06/28 20:39:59 - mmengine - INFO - Epoch(train) [72][3140/3757] lr: 1.000e-03 eta: 7:49:19 time: 0.192 data_time: 0.007 memory: 5150 grad_norm: 9.3887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5921 loss: 1.5921 2022/06/28 20:40:10 - mmengine - INFO - Epoch(train) [72][3160/3757] lr: 1.000e-03 eta: 7:49:16 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 8.3828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4095 loss: 1.4095 2022/06/28 20:40:14 - mmengine - INFO - Epoch(train) [72][3180/3757] lr: 1.000e-03 eta: 7:49:10 time: 0.553 data_time: 0.008 memory: 5150 grad_norm: 8.6607 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3943 loss: 1.3943 2022/06/28 20:40:19 - mmengine - INFO - Epoch(train) [72][3200/3757] lr: 1.000e-03 eta: 7:49:04 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.2629 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9797 loss: 0.9797 2022/06/28 20:40:23 - mmengine - INFO - Epoch(train) [72][3220/3757] lr: 1.000e-03 eta: 7:48:59 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.0850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3863 loss: 1.3863 2022/06/28 20:40:29 - mmengine - INFO - Epoch(train) [72][3240/3757] lr: 1.000e-03 eta: 7:48:53 time: 0.228 data_time: 0.010 memory: 5150 grad_norm: 6.8764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2317 loss: 1.2317 2022/06/28 20:40:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:40:35 - mmengine - INFO - Epoch(train) [72][3260/3757] lr: 1.000e-03 eta: 7:48:48 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.0630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2620 loss: 1.2620 2022/06/28 20:40:39 - mmengine - INFO - Epoch(train) [72][3280/3757] lr: 1.000e-03 eta: 7:48:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2956 loss: 1.2956 2022/06/28 20:40:46 - mmengine - INFO - Epoch(train) [72][3300/3757] lr: 1.000e-03 eta: 7:48:38 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.5889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3659 loss: 1.3659 2022/06/28 20:40:52 - mmengine - INFO - Epoch(train) [72][3320/3757] lr: 1.000e-03 eta: 7:48:33 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 7.5312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5621 loss: 1.5621 2022/06/28 20:40:56 - mmengine - INFO - Epoch(train) [72][3340/3757] lr: 1.000e-03 eta: 7:48:27 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.1566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5469 loss: 1.5469 2022/06/28 20:41:03 - mmengine - INFO - Epoch(train) [72][3360/3757] lr: 1.000e-03 eta: 7:48:22 time: 0.230 data_time: 0.009 memory: 5150 grad_norm: 8.4718 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1376 loss: 1.1376 2022/06/28 20:41:08 - mmengine - INFO - Epoch(train) [72][3380/3757] lr: 1.000e-03 eta: 7:48:17 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 9.2608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3200 loss: 1.3200 2022/06/28 20:41:13 - mmengine - INFO - Epoch(train) [72][3400/3757] lr: 1.000e-03 eta: 7:48:11 time: 0.240 data_time: 0.062 memory: 5150 grad_norm: 8.2145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/06/28 20:41:18 - mmengine - INFO - Epoch(train) [72][3420/3757] lr: 1.000e-03 eta: 7:48:06 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.0946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1921 loss: 1.1921 2022/06/28 20:41:24 - mmengine - INFO - Epoch(train) [72][3440/3757] lr: 1.000e-03 eta: 7:48:01 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 7.5406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7262 loss: 1.7262 2022/06/28 20:41:28 - mmengine - INFO - Epoch(train) [72][3460/3757] lr: 1.000e-03 eta: 7:47:55 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.3662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9786 loss: 0.9786 2022/06/28 20:41:34 - mmengine - INFO - Epoch(train) [72][3480/3757] lr: 1.000e-03 eta: 7:47:50 time: 0.204 data_time: 0.030 memory: 5150 grad_norm: 9.6112 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6726 loss: 1.6726 2022/06/28 20:41:39 - mmengine - INFO - Epoch(train) [72][3500/3757] lr: 1.000e-03 eta: 7:47:45 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 6.7092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2070 loss: 1.2070 2022/06/28 20:41:44 - mmengine - INFO - Epoch(train) [72][3520/3757] lr: 1.000e-03 eta: 7:47:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8201 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7074 loss: 1.7074 2022/06/28 20:41:50 - mmengine - INFO - Epoch(train) [72][3540/3757] lr: 1.000e-03 eta: 7:47:34 time: 0.210 data_time: 0.022 memory: 5150 grad_norm: 9.1602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4024 loss: 1.4024 2022/06/28 20:41:55 - mmengine - INFO - Epoch(train) [72][3560/3757] lr: 1.000e-03 eta: 7:47:29 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.8163 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4801 loss: 1.4801 2022/06/28 20:42:01 - mmengine - INFO - Epoch(train) [72][3580/3757] lr: 1.000e-03 eta: 7:47:24 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.9065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5798 loss: 1.5798 2022/06/28 20:42:06 - mmengine - INFO - Epoch(train) [72][3600/3757] lr: 1.000e-03 eta: 7:47:18 time: 0.197 data_time: 0.025 memory: 5150 grad_norm: 9.0786 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/28 20:42:11 - mmengine - INFO - Epoch(train) [72][3620/3757] lr: 1.000e-03 eta: 7:47:13 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.3743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0931 loss: 1.0931 2022/06/28 20:42:17 - mmengine - INFO - Epoch(train) [72][3640/3757] lr: 1.000e-03 eta: 7:47:08 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.4809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4299 loss: 1.4299 2022/06/28 20:42:23 - mmengine - INFO - Epoch(train) [72][3660/3757] lr: 1.000e-03 eta: 7:47:02 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.2350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6172 loss: 1.6172 2022/06/28 20:42:28 - mmengine - INFO - Epoch(train) [72][3680/3757] lr: 1.000e-03 eta: 7:46:57 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.2397 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5385 loss: 1.5385 2022/06/28 20:42:32 - mmengine - INFO - Epoch(train) [72][3700/3757] lr: 1.000e-03 eta: 7:46:51 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.0666 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2859 loss: 1.2859 2022/06/28 20:42:38 - mmengine - INFO - Epoch(train) [72][3720/3757] lr: 1.000e-03 eta: 7:46:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.8617 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4264 loss: 1.4264 2022/06/28 20:42:44 - mmengine - INFO - Epoch(train) [72][3740/3757] lr: 1.000e-03 eta: 7:46:41 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 6.7731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/06/28 20:42:47 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:43:20 - mmengine - INFO - Epoch(val) [72][20/310] eta: 0:05:56 time: 0.968 data_time: 0.319 memory: 9746 2022/06/28 20:43:42 - mmengine - INFO - Epoch(val) [72][40/310] eta: 0:04:51 time: 1.148 data_time: 0.499 memory: 9746 2022/06/28 20:44:06 - mmengine - INFO - Epoch(val) [72][60/310] eta: 0:04:12 time: 0.986 data_time: 0.351 memory: 9746 2022/06/28 20:44:29 - mmengine - INFO - Epoch(val) [72][80/310] eta: 0:04:44 time: 1.098 data_time: 0.443 memory: 9746 2022/06/28 20:44:52 - mmengine - INFO - Epoch(val) [72][100/310] eta: 0:04:01 time: 2.112 data_time: 1.477 memory: 9746 2022/06/28 20:45:13 - mmengine - INFO - Epoch(val) [72][120/310] eta: 0:03:15 time: 1.071 data_time: 0.442 memory: 9746 2022/06/28 20:45:38 - mmengine - INFO - Epoch(val) [72][140/310] eta: 0:03:19 time: 1.066 data_time: 0.409 memory: 9746 2022/06/28 20:46:03 - mmengine - INFO - Epoch(val) [72][160/310] eta: 0:03:17 time: 3.808 data_time: 3.123 memory: 9746 2022/06/28 20:46:26 - mmengine - INFO - Epoch(val) [72][180/310] eta: 0:02:56 time: 1.064 data_time: 0.423 memory: 9746 2022/06/28 20:46:48 - mmengine - INFO - Epoch(val) [72][200/310] eta: 0:01:57 time: 1.108 data_time: 0.477 memory: 9746 2022/06/28 20:47:09 - mmengine - INFO - Epoch(val) [72][220/310] eta: 0:01:34 time: 1.103 data_time: 0.442 memory: 9746 2022/06/28 20:47:30 - mmengine - INFO - Epoch(val) [72][240/310] eta: 0:01:16 time: 1.098 data_time: 0.449 memory: 9746 2022/06/28 20:47:54 - mmengine - INFO - Epoch(val) [72][260/310] eta: 0:01:00 time: 0.962 data_time: 0.296 memory: 9746 2022/06/28 20:48:18 - mmengine - INFO - Epoch(val) [72][280/310] eta: 0:00:35 time: 1.894 data_time: 1.232 memory: 9746 2022/06/28 20:48:37 - mmengine - INFO - Epoch(val) [72][300/310] eta: 0:00:08 time: 0.683 data_time: 0.097 memory: 9746 2022/06/28 20:48:51 - mmengine - INFO - Epoch(val) [72][310/310] acc/top1: 0.7106 acc/top5: 0.9001 acc/mean1: 0.7105 2022/06/28 20:48:59 - mmengine - INFO - Epoch(train) [73][20/3757] lr: 1.000e-03 eta: 7:46:31 time: 0.197 data_time: 0.008 memory: 9746 grad_norm: 7.7675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4466 loss: 1.4466 2022/06/28 20:49:06 - mmengine - INFO - Epoch(train) [73][40/3757] lr: 1.000e-03 eta: 7:46:26 time: 0.203 data_time: 0.024 memory: 5150 grad_norm: 7.6981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1534 loss: 1.1534 2022/06/28 20:49:10 - mmengine - INFO - Epoch(train) [73][60/3757] lr: 1.000e-03 eta: 7:46:21 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.1693 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3573 loss: 1.3573 2022/06/28 20:49:16 - mmengine - INFO - Epoch(train) [73][80/3757] lr: 1.000e-03 eta: 7:46:16 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.5987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0803 loss: 1.0803 2022/06/28 20:49:22 - mmengine - INFO - Epoch(train) [73][100/3757] lr: 1.000e-03 eta: 7:46:10 time: 0.217 data_time: 0.024 memory: 5150 grad_norm: 11.0153 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0138 loss: 1.0138 2022/06/28 20:49:27 - mmengine - INFO - Epoch(train) [73][120/3757] lr: 1.000e-03 eta: 7:46:05 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.4148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3389 loss: 1.3389 2022/06/28 20:49:32 - mmengine - INFO - Epoch(train) [73][140/3757] lr: 1.000e-03 eta: 7:46:00 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.5215 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/06/28 20:49:38 - mmengine - INFO - Epoch(train) [73][160/3757] lr: 1.000e-03 eta: 7:45:54 time: 0.407 data_time: 0.229 memory: 5150 grad_norm: 8.6773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/06/28 20:49:43 - mmengine - INFO - Epoch(train) [73][180/3757] lr: 1.000e-03 eta: 7:45:49 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.0550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3712 loss: 1.3712 2022/06/28 20:49:48 - mmengine - INFO - Epoch(train) [73][200/3757] lr: 1.000e-03 eta: 7:45:44 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.6917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4906 loss: 1.4906 2022/06/28 20:49:54 - mmengine - INFO - Epoch(train) [73][220/3757] lr: 1.000e-03 eta: 7:45:39 time: 0.222 data_time: 0.045 memory: 5150 grad_norm: 8.9469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/06/28 20:49:59 - mmengine - INFO - Epoch(train) [73][240/3757] lr: 1.000e-03 eta: 7:45:33 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.9629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5052 loss: 1.5052 2022/06/28 20:50:04 - mmengine - INFO - Epoch(train) [73][260/3757] lr: 1.000e-03 eta: 7:45:28 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.0445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9625 loss: 0.9625 2022/06/28 20:50:10 - mmengine - INFO - Epoch(train) [73][280/3757] lr: 1.000e-03 eta: 7:45:23 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 9.4696 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/06/28 20:50:15 - mmengine - INFO - Epoch(train) [73][300/3757] lr: 1.000e-03 eta: 7:45:17 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.3136 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2949 loss: 1.2949 2022/06/28 20:50:21 - mmengine - INFO - Epoch(train) [73][320/3757] lr: 1.000e-03 eta: 7:45:12 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.1723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4277 loss: 1.4277 2022/06/28 20:50:26 - mmengine - INFO - Epoch(train) [73][340/3757] lr: 1.000e-03 eta: 7:45:07 time: 0.203 data_time: 0.027 memory: 5150 grad_norm: 8.4496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1364 loss: 1.1364 2022/06/28 20:50:31 - mmengine - INFO - Epoch(train) [73][360/3757] lr: 1.000e-03 eta: 7:45:01 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.7108 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/06/28 20:50:36 - mmengine - INFO - Epoch(train) [73][380/3757] lr: 1.000e-03 eta: 7:44:56 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.4173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8681 loss: 0.8681 2022/06/28 20:50:42 - mmengine - INFO - Epoch(train) [73][400/3757] lr: 1.000e-03 eta: 7:44:51 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 9.2429 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2268 loss: 1.2268 2022/06/28 20:50:47 - mmengine - INFO - Epoch(train) [73][420/3757] lr: 1.000e-03 eta: 7:44:45 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.6450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2470 loss: 1.2470 2022/06/28 20:50:53 - mmengine - INFO - Epoch(train) [73][440/3757] lr: 1.000e-03 eta: 7:44:40 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 8.3092 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1457 loss: 1.1457 2022/06/28 20:50:59 - mmengine - INFO - Epoch(train) [73][460/3757] lr: 1.000e-03 eta: 7:44:35 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.2577 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4482 loss: 1.4482 2022/06/28 20:51:03 - mmengine - INFO - Epoch(train) [73][480/3757] lr: 1.000e-03 eta: 7:44:29 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.5998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4779 loss: 1.4779 2022/06/28 20:51:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:51:08 - mmengine - INFO - Epoch(train) [73][500/3757] lr: 1.000e-03 eta: 7:44:24 time: 0.221 data_time: 0.022 memory: 5150 grad_norm: 7.9465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3948 loss: 1.3948 2022/06/28 20:51:13 - mmengine - INFO - Epoch(train) [73][520/3757] lr: 1.000e-03 eta: 7:44:18 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 8.2191 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3837 loss: 1.3837 2022/06/28 20:51:19 - mmengine - INFO - Epoch(train) [73][540/3757] lr: 1.000e-03 eta: 7:44:13 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 7.9874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3262 loss: 1.3262 2022/06/28 20:51:25 - mmengine - INFO - Epoch(train) [73][560/3757] lr: 1.000e-03 eta: 7:44:08 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 7.0291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/06/28 20:51:30 - mmengine - INFO - Epoch(train) [73][580/3757] lr: 1.000e-03 eta: 7:44:03 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 7.5160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4417 loss: 1.4417 2022/06/28 20:51:36 - mmengine - INFO - Epoch(train) [73][600/3757] lr: 1.000e-03 eta: 7:43:57 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 8.8786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2882 loss: 1.2882 2022/06/28 20:51:41 - mmengine - INFO - Epoch(train) [73][620/3757] lr: 1.000e-03 eta: 7:43:52 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 9.0164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4144 loss: 1.4144 2022/06/28 20:51:47 - mmengine - INFO - Epoch(train) [73][640/3757] lr: 1.000e-03 eta: 7:43:47 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.8006 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5328 loss: 1.5328 2022/06/28 20:51:52 - mmengine - INFO - Epoch(train) [73][660/3757] lr: 1.000e-03 eta: 7:43:41 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.8601 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0752 loss: 1.0752 2022/06/28 20:51:57 - mmengine - INFO - Epoch(train) [73][680/3757] lr: 1.000e-03 eta: 7:43:36 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 7.5531 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1632 loss: 1.1632 2022/06/28 20:52:03 - mmengine - INFO - Epoch(train) [73][700/3757] lr: 1.000e-03 eta: 7:43:31 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.6548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3186 loss: 1.3186 2022/06/28 20:52:08 - mmengine - INFO - Epoch(train) [73][720/3757] lr: 1.000e-03 eta: 7:43:25 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.5793 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4996 loss: 1.4996 2022/06/28 20:52:13 - mmengine - INFO - Epoch(train) [73][740/3757] lr: 1.000e-03 eta: 7:43:20 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 9.1472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0446 loss: 1.0446 2022/06/28 20:52:20 - mmengine - INFO - Epoch(train) [73][760/3757] lr: 1.000e-03 eta: 7:43:15 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.9425 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2804 loss: 1.2804 2022/06/28 20:52:24 - mmengine - INFO - Epoch(train) [73][780/3757] lr: 1.000e-03 eta: 7:43:10 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 9.7308 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4566 loss: 1.4566 2022/06/28 20:52:30 - mmengine - INFO - Epoch(train) [73][800/3757] lr: 1.000e-03 eta: 7:43:04 time: 0.236 data_time: 0.012 memory: 5150 grad_norm: 8.0612 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1715 loss: 1.1715 2022/06/28 20:52:35 - mmengine - INFO - Epoch(train) [73][820/3757] lr: 1.000e-03 eta: 7:42:59 time: 0.237 data_time: 0.016 memory: 5150 grad_norm: 7.8643 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3216 loss: 1.3216 2022/06/28 20:52:40 - mmengine - INFO - Epoch(train) [73][840/3757] lr: 1.000e-03 eta: 7:42:54 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.1755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9836 loss: 0.9836 2022/06/28 20:52:47 - mmengine - INFO - Epoch(train) [73][860/3757] lr: 1.000e-03 eta: 7:42:49 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.2862 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0809 loss: 1.0809 2022/06/28 20:52:51 - mmengine - INFO - Epoch(train) [73][880/3757] lr: 1.000e-03 eta: 7:42:43 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.9085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1500 loss: 1.1500 2022/06/28 20:52:56 - mmengine - INFO - Epoch(train) [73][900/3757] lr: 1.000e-03 eta: 7:42:38 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 7.3022 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0926 loss: 1.0926 2022/06/28 20:53:02 - mmengine - INFO - Epoch(train) [73][920/3757] lr: 1.000e-03 eta: 7:42:32 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.9964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1796 loss: 1.1796 2022/06/28 20:53:07 - mmengine - INFO - Epoch(train) [73][940/3757] lr: 1.000e-03 eta: 7:42:27 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.3680 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1647 loss: 1.1647 2022/06/28 20:53:12 - mmengine - INFO - Epoch(train) [73][960/3757] lr: 1.000e-03 eta: 7:42:22 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.6287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2307 loss: 1.2307 2022/06/28 20:53:17 - mmengine - INFO - Epoch(train) [73][980/3757] lr: 1.000e-03 eta: 7:42:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.7553 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/06/28 20:53:23 - mmengine - INFO - Epoch(train) [73][1000/3757] lr: 1.000e-03 eta: 7:42:11 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 7.1617 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2008 loss: 1.2008 2022/06/28 20:53:28 - mmengine - INFO - Epoch(train) [73][1020/3757] lr: 1.000e-03 eta: 7:42:06 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.0831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3425 loss: 1.3425 2022/06/28 20:53:34 - mmengine - INFO - Epoch(train) [73][1040/3757] lr: 1.000e-03 eta: 7:42:01 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.0675 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3955 loss: 1.3955 2022/06/28 20:53:39 - mmengine - INFO - Epoch(train) [73][1060/3757] lr: 1.000e-03 eta: 7:41:55 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.9343 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7536 loss: 1.7536 2022/06/28 20:53:44 - mmengine - INFO - Epoch(train) [73][1080/3757] lr: 1.000e-03 eta: 7:41:50 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.3251 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/06/28 20:53:50 - mmengine - INFO - Epoch(train) [73][1100/3757] lr: 1.000e-03 eta: 7:41:45 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 8.0224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3008 loss: 1.3008 2022/06/28 20:53:55 - mmengine - INFO - Epoch(train) [73][1120/3757] lr: 1.000e-03 eta: 7:41:39 time: 0.281 data_time: 0.007 memory: 5150 grad_norm: 9.0981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/06/28 20:54:00 - mmengine - INFO - Epoch(train) [73][1140/3757] lr: 1.000e-03 eta: 7:41:34 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.1852 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4643 loss: 1.4643 2022/06/28 20:54:06 - mmengine - INFO - Epoch(train) [73][1160/3757] lr: 1.000e-03 eta: 7:41:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.1372 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3545 loss: 1.3545 2022/06/28 20:54:11 - mmengine - INFO - Epoch(train) [73][1180/3757] lr: 1.000e-03 eta: 7:41:23 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 7.9349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2798 loss: 1.2798 2022/06/28 20:54:16 - mmengine - INFO - Epoch(train) [73][1200/3757] lr: 1.000e-03 eta: 7:41:18 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.6927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1262 loss: 1.1262 2022/06/28 20:54:23 - mmengine - INFO - Epoch(train) [73][1220/3757] lr: 1.000e-03 eta: 7:41:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.8678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9665 loss: 1.9665 2022/06/28 20:54:27 - mmengine - INFO - Epoch(train) [73][1240/3757] lr: 1.000e-03 eta: 7:41:07 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.5024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/06/28 20:54:32 - mmengine - INFO - Epoch(train) [73][1260/3757] lr: 1.000e-03 eta: 7:41:02 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.0308 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2246 loss: 1.2246 2022/06/28 20:54:38 - mmengine - INFO - Epoch(train) [73][1280/3757] lr: 1.000e-03 eta: 7:40:57 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.1691 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3734 loss: 1.3734 2022/06/28 20:54:43 - mmengine - INFO - Epoch(train) [73][1300/3757] lr: 1.000e-03 eta: 7:40:51 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.0065 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0220 loss: 1.0220 2022/06/28 20:54:49 - mmengine - INFO - Epoch(train) [73][1320/3757] lr: 1.000e-03 eta: 7:40:46 time: 0.498 data_time: 0.007 memory: 5150 grad_norm: 7.7065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3093 loss: 1.3093 2022/06/28 20:54:54 - mmengine - INFO - Epoch(train) [73][1340/3757] lr: 1.000e-03 eta: 7:40:41 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 8.5592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0399 loss: 1.0399 2022/06/28 20:55:00 - mmengine - INFO - Epoch(train) [73][1360/3757] lr: 1.000e-03 eta: 7:40:36 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.3926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/06/28 20:55:05 - mmengine - INFO - Epoch(train) [73][1380/3757] lr: 1.000e-03 eta: 7:40:30 time: 0.442 data_time: 0.007 memory: 5150 grad_norm: 8.7554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2620 loss: 1.2620 2022/06/28 20:55:10 - mmengine - INFO - Epoch(train) [73][1400/3757] lr: 1.000e-03 eta: 7:40:25 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.0051 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5127 loss: 1.5127 2022/06/28 20:55:16 - mmengine - INFO - Epoch(train) [73][1420/3757] lr: 1.000e-03 eta: 7:40:20 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 7.6767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1239 loss: 1.1239 2022/06/28 20:55:22 - mmengine - INFO - Epoch(train) [73][1440/3757] lr: 1.000e-03 eta: 7:40:15 time: 0.690 data_time: 0.009 memory: 5150 grad_norm: 7.3043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3258 loss: 1.3258 2022/06/28 20:55:26 - mmengine - INFO - Epoch(train) [73][1460/3757] lr: 1.000e-03 eta: 7:40:09 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 7.7576 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2750 loss: 1.2750 2022/06/28 20:55:32 - mmengine - INFO - Epoch(train) [73][1480/3757] lr: 1.000e-03 eta: 7:40:04 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.4416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/06/28 20:55:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 20:55:38 - mmengine - INFO - Epoch(train) [73][1500/3757] lr: 1.000e-03 eta: 7:39:59 time: 1.313 data_time: 0.008 memory: 5150 grad_norm: 7.4026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7412 loss: 1.7412 2022/06/28 20:55:43 - mmengine - INFO - Epoch(train) [73][1520/3757] lr: 1.000e-03 eta: 7:39:53 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.4562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4276 loss: 1.4276 2022/06/28 20:55:48 - mmengine - INFO - Epoch(train) [73][1540/3757] lr: 1.000e-03 eta: 7:39:48 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 8.1279 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2370 loss: 1.2370 2022/06/28 20:55:54 - mmengine - INFO - Epoch(train) [73][1560/3757] lr: 1.000e-03 eta: 7:39:43 time: 0.506 data_time: 0.007 memory: 5150 grad_norm: 8.7625 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/06/28 20:55:59 - mmengine - INFO - Epoch(train) [73][1580/3757] lr: 1.000e-03 eta: 7:39:37 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 9.1303 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1848 loss: 1.1848 2022/06/28 20:56:05 - mmengine - INFO - Epoch(train) [73][1600/3757] lr: 1.000e-03 eta: 7:39:32 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 10.2028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/06/28 20:56:10 - mmengine - INFO - Epoch(train) [73][1620/3757] lr: 1.000e-03 eta: 7:39:27 time: 0.609 data_time: 0.007 memory: 5150 grad_norm: 7.7432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2665 loss: 1.2665 2022/06/28 20:56:15 - mmengine - INFO - Epoch(train) [73][1640/3757] lr: 1.000e-03 eta: 7:39:21 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.7323 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1202 loss: 1.1202 2022/06/28 20:56:21 - mmengine - INFO - Epoch(train) [73][1660/3757] lr: 1.000e-03 eta: 7:39:16 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 7.0270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2749 loss: 1.2749 2022/06/28 20:56:25 - mmengine - INFO - Epoch(train) [73][1680/3757] lr: 1.000e-03 eta: 7:39:10 time: 0.427 data_time: 0.010 memory: 5150 grad_norm: 8.3522 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2836 loss: 1.2836 2022/06/28 20:56:30 - mmengine - INFO - Epoch(train) [73][1700/3757] lr: 1.000e-03 eta: 7:39:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.3765 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3964 loss: 1.3964 2022/06/28 20:56:36 - mmengine - INFO - Epoch(train) [73][1720/3757] lr: 1.000e-03 eta: 7:39:00 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.5881 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/06/28 20:56:41 - mmengine - INFO - Epoch(train) [73][1740/3757] lr: 1.000e-03 eta: 7:38:54 time: 0.728 data_time: 0.023 memory: 5150 grad_norm: 7.9267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3985 loss: 1.3985 2022/06/28 20:56:46 - mmengine - INFO - Epoch(train) [73][1760/3757] lr: 1.000e-03 eta: 7:38:49 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.2294 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2333 loss: 1.2333 2022/06/28 20:56:52 - mmengine - INFO - Epoch(train) [73][1780/3757] lr: 1.000e-03 eta: 7:38:44 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.7322 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0613 loss: 1.0613 2022/06/28 20:56:58 - mmengine - INFO - Epoch(train) [73][1800/3757] lr: 1.000e-03 eta: 7:38:39 time: 0.855 data_time: 0.010 memory: 5150 grad_norm: 9.5057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6083 loss: 1.6083 2022/06/28 20:57:03 - mmengine - INFO - Epoch(train) [73][1820/3757] lr: 1.000e-03 eta: 7:38:33 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.7984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0216 loss: 1.0216 2022/06/28 20:57:10 - mmengine - INFO - Epoch(train) [73][1840/3757] lr: 1.000e-03 eta: 7:38:29 time: 0.217 data_time: 0.017 memory: 5150 grad_norm: 8.4514 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3464 loss: 1.3464 2022/06/28 20:57:14 - mmengine - INFO - Epoch(train) [73][1860/3757] lr: 1.000e-03 eta: 7:38:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.7805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/06/28 20:57:18 - mmengine - INFO - Epoch(train) [73][1880/3757] lr: 1.000e-03 eta: 7:38:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.6294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2732 loss: 1.2732 2022/06/28 20:57:23 - mmengine - INFO - Epoch(train) [73][1900/3757] lr: 1.000e-03 eta: 7:38:11 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.3606 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2308 loss: 1.2308 2022/06/28 20:57:29 - mmengine - INFO - Epoch(train) [73][1920/3757] lr: 1.000e-03 eta: 7:38:06 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.7360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4589 loss: 1.4589 2022/06/28 20:57:35 - mmengine - INFO - Epoch(train) [73][1940/3757] lr: 1.000e-03 eta: 7:38:01 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 9.9207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1825 loss: 1.1825 2022/06/28 20:57:40 - mmengine - INFO - Epoch(train) [73][1960/3757] lr: 1.000e-03 eta: 7:37:56 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.0230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/06/28 20:57:46 - mmengine - INFO - Epoch(train) [73][1980/3757] lr: 1.000e-03 eta: 7:37:51 time: 0.310 data_time: 0.008 memory: 5150 grad_norm: 9.2129 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2788 loss: 1.2788 2022/06/28 20:57:51 - mmengine - INFO - Epoch(train) [73][2000/3757] lr: 1.000e-03 eta: 7:37:45 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 7.9158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3571 loss: 1.3571 2022/06/28 20:57:56 - mmengine - INFO - Epoch(train) [73][2020/3757] lr: 1.000e-03 eta: 7:37:40 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 9.2089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3108 loss: 1.3108 2022/06/28 20:58:01 - mmengine - INFO - Epoch(train) [73][2040/3757] lr: 1.000e-03 eta: 7:37:35 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.9505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3813 loss: 1.3813 2022/06/28 20:58:06 - mmengine - INFO - Epoch(train) [73][2060/3757] lr: 1.000e-03 eta: 7:37:29 time: 0.223 data_time: 0.012 memory: 5150 grad_norm: 6.3358 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1812 loss: 1.1812 2022/06/28 20:58:11 - mmengine - INFO - Epoch(train) [73][2080/3757] lr: 1.000e-03 eta: 7:37:24 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.1224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1129 loss: 1.1129 2022/06/28 20:58:17 - mmengine - INFO - Epoch(train) [73][2100/3757] lr: 1.000e-03 eta: 7:37:19 time: 0.212 data_time: 0.028 memory: 5150 grad_norm: 10.0747 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/06/28 20:58:25 - mmengine - INFO - Epoch(train) [73][2120/3757] lr: 1.000e-03 eta: 7:37:14 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 8.1059 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0073 loss: 1.0073 2022/06/28 20:58:29 - mmengine - INFO - Epoch(train) [73][2140/3757] lr: 1.000e-03 eta: 7:37:09 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.6062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/06/28 20:58:34 - mmengine - INFO - Epoch(train) [73][2160/3757] lr: 1.000e-03 eta: 7:37:03 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 8.7014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3140 loss: 1.3140 2022/06/28 20:58:39 - mmengine - INFO - Epoch(train) [73][2180/3757] lr: 1.000e-03 eta: 7:36:57 time: 0.250 data_time: 0.014 memory: 5150 grad_norm: 8.3585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/06/28 20:58:45 - mmengine - INFO - Epoch(train) [73][2200/3757] lr: 1.000e-03 eta: 7:36:53 time: 0.805 data_time: 0.007 memory: 5150 grad_norm: 8.8381 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1643 loss: 1.1643 2022/06/28 20:58:50 - mmengine - INFO - Epoch(train) [73][2220/3757] lr: 1.000e-03 eta: 7:36:47 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.7125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2286 loss: 1.2286 2022/06/28 20:58:56 - mmengine - INFO - Epoch(train) [73][2240/3757] lr: 1.000e-03 eta: 7:36:42 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.4787 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1462 loss: 1.1462 2022/06/28 20:59:01 - mmengine - INFO - Epoch(train) [73][2260/3757] lr: 1.000e-03 eta: 7:36:36 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2040 loss: 1.2040 2022/06/28 20:59:06 - mmengine - INFO - Epoch(train) [73][2280/3757] lr: 1.000e-03 eta: 7:36:31 time: 0.233 data_time: 0.008 memory: 5150 grad_norm: 7.0616 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/06/28 20:59:12 - mmengine - INFO - Epoch(train) [73][2300/3757] lr: 1.000e-03 eta: 7:36:26 time: 1.110 data_time: 0.007 memory: 5150 grad_norm: 7.5508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2601 loss: 1.2601 2022/06/28 20:59:17 - mmengine - INFO - Epoch(train) [73][2320/3757] lr: 1.000e-03 eta: 7:36:20 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.2434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0988 loss: 1.0988 2022/06/28 20:59:23 - mmengine - INFO - Epoch(train) [73][2340/3757] lr: 1.000e-03 eta: 7:36:15 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.8422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/06/28 20:59:28 - mmengine - INFO - Epoch(train) [73][2360/3757] lr: 1.000e-03 eta: 7:36:10 time: 0.956 data_time: 0.007 memory: 5150 grad_norm: 7.9265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2337 loss: 1.2337 2022/06/28 20:59:33 - mmengine - INFO - Epoch(train) [73][2380/3757] lr: 1.000e-03 eta: 7:36:04 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1185 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/06/28 20:59:38 - mmengine - INFO - Epoch(train) [73][2400/3757] lr: 1.000e-03 eta: 7:35:59 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 9.2215 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4546 loss: 1.4546 2022/06/28 20:59:43 - mmengine - INFO - Epoch(train) [73][2420/3757] lr: 1.000e-03 eta: 7:35:54 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.2233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1715 loss: 1.1715 2022/06/28 20:59:48 - mmengine - INFO - Epoch(train) [73][2440/3757] lr: 1.000e-03 eta: 7:35:48 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1504 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/06/28 20:59:53 - mmengine - INFO - Epoch(train) [73][2460/3757] lr: 1.000e-03 eta: 7:35:43 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.8527 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2164 loss: 1.2164 2022/06/28 20:59:59 - mmengine - INFO - Epoch(train) [73][2480/3757] lr: 1.000e-03 eta: 7:35:38 time: 0.468 data_time: 0.013 memory: 5150 grad_norm: 6.6504 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1523 loss: 1.1523 2022/06/28 21:00:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:00:04 - mmengine - INFO - Epoch(train) [73][2500/3757] lr: 1.000e-03 eta: 7:35:32 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.8387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1378 loss: 1.1378 2022/06/28 21:00:10 - mmengine - INFO - Epoch(train) [73][2520/3757] lr: 1.000e-03 eta: 7:35:27 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.2841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/06/28 21:00:15 - mmengine - INFO - Epoch(train) [73][2540/3757] lr: 1.000e-03 eta: 7:35:22 time: 0.472 data_time: 0.007 memory: 5150 grad_norm: 8.4308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7862 loss: 1.7862 2022/06/28 21:00:21 - mmengine - INFO - Epoch(train) [73][2560/3757] lr: 1.000e-03 eta: 7:35:16 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.4193 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3880 loss: 1.3880 2022/06/28 21:00:27 - mmengine - INFO - Epoch(train) [73][2580/3757] lr: 1.000e-03 eta: 7:35:11 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.7304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5287 loss: 1.5287 2022/06/28 21:00:31 - mmengine - INFO - Epoch(train) [73][2600/3757] lr: 1.000e-03 eta: 7:35:06 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.3429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4842 loss: 1.4842 2022/06/28 21:00:37 - mmengine - INFO - Epoch(train) [73][2620/3757] lr: 1.000e-03 eta: 7:35:01 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.6308 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8737 loss: 0.8737 2022/06/28 21:00:42 - mmengine - INFO - Epoch(train) [73][2640/3757] lr: 1.000e-03 eta: 7:34:55 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 7.8567 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6667 loss: 1.6667 2022/06/28 21:00:47 - mmengine - INFO - Epoch(train) [73][2660/3757] lr: 1.000e-03 eta: 7:34:50 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 9.3257 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3605 loss: 1.3605 2022/06/28 21:00:53 - mmengine - INFO - Epoch(train) [73][2680/3757] lr: 1.000e-03 eta: 7:34:45 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.1348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1875 loss: 1.1875 2022/06/28 21:00:59 - mmengine - INFO - Epoch(train) [73][2700/3757] lr: 1.000e-03 eta: 7:34:39 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 8.5003 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2995 loss: 1.2995 2022/06/28 21:01:03 - mmengine - INFO - Epoch(train) [73][2720/3757] lr: 1.000e-03 eta: 7:34:34 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 8.7337 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0125 loss: 1.0125 2022/06/28 21:01:09 - mmengine - INFO - Epoch(train) [73][2740/3757] lr: 1.000e-03 eta: 7:34:29 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 7.6909 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1252 loss: 1.1252 2022/06/28 21:01:13 - mmengine - INFO - Epoch(train) [73][2760/3757] lr: 1.000e-03 eta: 7:34:23 time: 0.228 data_time: 0.011 memory: 5150 grad_norm: 9.1846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/06/28 21:01:18 - mmengine - INFO - Epoch(train) [73][2780/3757] lr: 1.000e-03 eta: 7:34:17 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.6725 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/06/28 21:01:23 - mmengine - INFO - Epoch(train) [73][2800/3757] lr: 1.000e-03 eta: 7:34:12 time: 0.210 data_time: 0.022 memory: 5150 grad_norm: 8.5450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/06/28 21:01:29 - mmengine - INFO - Epoch(train) [73][2820/3757] lr: 1.000e-03 eta: 7:34:07 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 8.6711 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/06/28 21:01:34 - mmengine - INFO - Epoch(train) [73][2840/3757] lr: 1.000e-03 eta: 7:34:01 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 10.4026 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3576 loss: 1.3576 2022/06/28 21:01:39 - mmengine - INFO - Epoch(train) [73][2860/3757] lr: 1.000e-03 eta: 7:33:56 time: 0.211 data_time: 0.024 memory: 5150 grad_norm: 9.2322 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1439 loss: 1.1439 2022/06/28 21:01:45 - mmengine - INFO - Epoch(train) [73][2880/3757] lr: 1.000e-03 eta: 7:33:51 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 8.6461 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7022 loss: 1.7022 2022/06/28 21:01:50 - mmengine - INFO - Epoch(train) [73][2900/3757] lr: 1.000e-03 eta: 7:33:45 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 6.7033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2708 loss: 1.2708 2022/06/28 21:01:55 - mmengine - INFO - Epoch(train) [73][2920/3757] lr: 1.000e-03 eta: 7:33:40 time: 0.203 data_time: 0.021 memory: 5150 grad_norm: 6.7985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1906 loss: 1.1906 2022/06/28 21:02:01 - mmengine - INFO - Epoch(train) [73][2940/3757] lr: 1.000e-03 eta: 7:33:35 time: 0.227 data_time: 0.013 memory: 5150 grad_norm: 8.9230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4920 loss: 1.4920 2022/06/28 21:02:07 - mmengine - INFO - Epoch(train) [73][2960/3757] lr: 1.000e-03 eta: 7:33:30 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.6716 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3321 loss: 1.3321 2022/06/28 21:02:12 - mmengine - INFO - Epoch(train) [73][2980/3757] lr: 1.000e-03 eta: 7:33:24 time: 0.638 data_time: 0.037 memory: 5150 grad_norm: 7.6743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6930 loss: 1.6930 2022/06/28 21:02:17 - mmengine - INFO - Epoch(train) [73][3000/3757] lr: 1.000e-03 eta: 7:33:19 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.5942 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3627 loss: 1.3627 2022/06/28 21:02:22 - mmengine - INFO - Epoch(train) [73][3020/3757] lr: 1.000e-03 eta: 7:33:13 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.4121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/06/28 21:02:28 - mmengine - INFO - Epoch(train) [73][3040/3757] lr: 1.000e-03 eta: 7:33:08 time: 1.220 data_time: 0.297 memory: 5150 grad_norm: 7.6821 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1597 loss: 1.1597 2022/06/28 21:02:32 - mmengine - INFO - Epoch(train) [73][3060/3757] lr: 1.000e-03 eta: 7:33:03 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.5705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0157 loss: 1.0157 2022/06/28 21:02:38 - mmengine - INFO - Epoch(train) [73][3080/3757] lr: 1.000e-03 eta: 7:32:57 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.9251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/06/28 21:02:43 - mmengine - INFO - Epoch(train) [73][3100/3757] lr: 1.000e-03 eta: 7:32:52 time: 0.626 data_time: 0.011 memory: 5150 grad_norm: 10.3304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2499 loss: 1.2499 2022/06/28 21:02:49 - mmengine - INFO - Epoch(train) [73][3120/3757] lr: 1.000e-03 eta: 7:32:47 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 10.1464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0365 loss: 2.0365 2022/06/28 21:02:54 - mmengine - INFO - Epoch(train) [73][3140/3757] lr: 1.000e-03 eta: 7:32:42 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.3735 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1529 loss: 1.1529 2022/06/28 21:03:01 - mmengine - INFO - Epoch(train) [73][3160/3757] lr: 1.000e-03 eta: 7:32:37 time: 1.502 data_time: 0.023 memory: 5150 grad_norm: 7.7829 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4093 loss: 1.4093 2022/06/28 21:03:05 - mmengine - INFO - Epoch(train) [73][3180/3757] lr: 1.000e-03 eta: 7:32:31 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.6415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2563 loss: 1.2563 2022/06/28 21:03:11 - mmengine - INFO - Epoch(train) [73][3200/3757] lr: 1.000e-03 eta: 7:32:26 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 9.0644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1971 loss: 1.1971 2022/06/28 21:03:15 - mmengine - INFO - Epoch(train) [73][3220/3757] lr: 1.000e-03 eta: 7:32:20 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 7.3608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4335 loss: 1.4335 2022/06/28 21:03:20 - mmengine - INFO - Epoch(train) [73][3240/3757] lr: 1.000e-03 eta: 7:32:14 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.9158 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6247 loss: 1.6247 2022/06/28 21:03:25 - mmengine - INFO - Epoch(train) [73][3260/3757] lr: 1.000e-03 eta: 7:32:09 time: 0.334 data_time: 0.007 memory: 5150 grad_norm: 7.5356 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5324 loss: 1.5324 2022/06/28 21:03:31 - mmengine - INFO - Epoch(train) [73][3280/3757] lr: 1.000e-03 eta: 7:32:04 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.5670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/06/28 21:03:36 - mmengine - INFO - Epoch(train) [73][3300/3757] lr: 1.000e-03 eta: 7:31:59 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.7437 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3834 loss: 1.3834 2022/06/28 21:03:43 - mmengine - INFO - Epoch(train) [73][3320/3757] lr: 1.000e-03 eta: 7:31:54 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.9667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3813 loss: 1.3813 2022/06/28 21:03:48 - mmengine - INFO - Epoch(train) [73][3340/3757] lr: 1.000e-03 eta: 7:31:48 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.5473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0750 loss: 1.0750 2022/06/28 21:03:53 - mmengine - INFO - Epoch(train) [73][3360/3757] lr: 1.000e-03 eta: 7:31:43 time: 0.211 data_time: 0.033 memory: 5150 grad_norm: 9.0448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3900 loss: 1.3900 2022/06/28 21:03:58 - mmengine - INFO - Epoch(train) [73][3380/3757] lr: 1.000e-03 eta: 7:31:38 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.9527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/06/28 21:04:04 - mmengine - INFO - Epoch(train) [73][3400/3757] lr: 1.000e-03 eta: 7:31:32 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.2563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0909 loss: 1.0909 2022/06/28 21:04:10 - mmengine - INFO - Epoch(train) [73][3420/3757] lr: 1.000e-03 eta: 7:31:27 time: 0.207 data_time: 0.032 memory: 5150 grad_norm: 8.7453 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6891 loss: 1.6891 2022/06/28 21:04:14 - mmengine - INFO - Epoch(train) [73][3440/3757] lr: 1.000e-03 eta: 7:31:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.4952 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2540 loss: 1.2540 2022/06/28 21:04:19 - mmengine - INFO - Epoch(train) [73][3460/3757] lr: 1.000e-03 eta: 7:31:16 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 8.0153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1787 loss: 1.1787 2022/06/28 21:04:24 - mmengine - INFO - Epoch(train) [73][3480/3757] lr: 1.000e-03 eta: 7:31:11 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 9.1366 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1607 loss: 1.1607 2022/06/28 21:04:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:04:30 - mmengine - INFO - Epoch(train) [73][3500/3757] lr: 1.000e-03 eta: 7:31:05 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.0436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/28 21:04:35 - mmengine - INFO - Epoch(train) [73][3520/3757] lr: 1.000e-03 eta: 7:31:00 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 7.8691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2700 loss: 1.2700 2022/06/28 21:04:40 - mmengine - INFO - Epoch(train) [73][3540/3757] lr: 1.000e-03 eta: 7:30:55 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.8636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/06/28 21:04:46 - mmengine - INFO - Epoch(train) [73][3560/3757] lr: 1.000e-03 eta: 7:30:50 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.2349 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6053 loss: 1.6053 2022/06/28 21:04:52 - mmengine - INFO - Epoch(train) [73][3580/3757] lr: 1.000e-03 eta: 7:30:44 time: 0.205 data_time: 0.028 memory: 5150 grad_norm: 9.0683 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2460 loss: 1.2460 2022/06/28 21:04:57 - mmengine - INFO - Epoch(train) [73][3600/3757] lr: 1.000e-03 eta: 7:30:39 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.9567 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3240 loss: 1.3240 2022/06/28 21:05:04 - mmengine - INFO - Epoch(train) [73][3620/3757] lr: 1.000e-03 eta: 7:30:34 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 7.1138 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1116 loss: 1.1116 2022/06/28 21:05:10 - mmengine - INFO - Epoch(train) [73][3640/3757] lr: 1.000e-03 eta: 7:30:29 time: 0.214 data_time: 0.020 memory: 5150 grad_norm: 7.8682 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3067 loss: 1.3067 2022/06/28 21:05:14 - mmengine - INFO - Epoch(train) [73][3660/3757] lr: 1.000e-03 eta: 7:30:23 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 9.8727 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4220 loss: 1.4220 2022/06/28 21:05:18 - mmengine - INFO - Epoch(train) [73][3680/3757] lr: 1.000e-03 eta: 7:30:18 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.4671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2266 loss: 1.2266 2022/06/28 21:05:23 - mmengine - INFO - Epoch(train) [73][3700/3757] lr: 1.000e-03 eta: 7:30:12 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2694 loss: 1.2694 2022/06/28 21:05:29 - mmengine - INFO - Epoch(train) [73][3720/3757] lr: 1.000e-03 eta: 7:30:07 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.4668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/06/28 21:05:34 - mmengine - INFO - Epoch(train) [73][3740/3757] lr: 1.000e-03 eta: 7:30:02 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.7966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3082 loss: 1.3082 2022/06/28 21:05:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:06:11 - mmengine - INFO - Epoch(val) [73][20/310] eta: 0:05:48 time: 1.125 data_time: 0.481 memory: 9746 2022/06/28 21:06:33 - mmengine - INFO - Epoch(val) [73][40/310] eta: 0:04:49 time: 1.081 data_time: 0.434 memory: 9746 2022/06/28 21:06:57 - mmengine - INFO - Epoch(val) [73][60/310] eta: 0:04:26 time: 1.129 data_time: 0.480 memory: 9746 2022/06/28 21:07:20 - mmengine - INFO - Epoch(val) [73][80/310] eta: 0:04:25 time: 0.979 data_time: 0.335 memory: 9746 2022/06/28 21:07:44 - mmengine - INFO - Epoch(val) [73][100/310] eta: 0:04:11 time: 2.568 data_time: 1.891 memory: 9746 2022/06/28 21:08:05 - mmengine - INFO - Epoch(val) [73][120/310] eta: 0:03:22 time: 1.092 data_time: 0.441 memory: 9746 2022/06/28 21:08:30 - mmengine - INFO - Epoch(val) [73][140/310] eta: 0:03:23 time: 1.070 data_time: 0.420 memory: 9746 2022/06/28 21:08:55 - mmengine - INFO - Epoch(val) [73][160/310] eta: 0:03:16 time: 3.559 data_time: 2.880 memory: 9746 2022/06/28 21:09:17 - mmengine - INFO - Epoch(val) [73][180/310] eta: 0:02:46 time: 1.019 data_time: 0.391 memory: 9746 2022/06/28 21:09:39 - mmengine - INFO - Epoch(val) [73][200/310] eta: 0:02:00 time: 1.130 data_time: 0.470 memory: 9746 2022/06/28 21:10:00 - mmengine - INFO - Epoch(val) [73][220/310] eta: 0:01:36 time: 1.054 data_time: 0.398 memory: 9746 2022/06/28 21:10:22 - mmengine - INFO - Epoch(val) [73][240/310] eta: 0:01:22 time: 1.015 data_time: 0.370 memory: 9746 2022/06/28 21:10:45 - mmengine - INFO - Epoch(val) [73][260/310] eta: 0:00:59 time: 1.086 data_time: 0.447 memory: 9746 2022/06/28 21:11:08 - mmengine - INFO - Epoch(val) [73][280/310] eta: 0:00:33 time: 1.361 data_time: 0.692 memory: 9746 2022/06/28 21:11:27 - mmengine - INFO - Epoch(val) [73][300/310] eta: 0:00:08 time: 0.760 data_time: 0.145 memory: 9746 2022/06/28 21:11:41 - mmengine - INFO - Epoch(val) [73][310/310] acc/top1: 0.7131 acc/top5: 0.8990 acc/mean1: 0.7130 2022/06/28 21:11:50 - mmengine - INFO - Epoch(train) [74][20/3757] lr: 1.000e-03 eta: 7:29:52 time: 0.211 data_time: 0.008 memory: 9746 grad_norm: 9.3642 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/06/28 21:11:55 - mmengine - INFO - Epoch(train) [74][40/3757] lr: 1.000e-03 eta: 7:29:47 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.6700 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2793 loss: 1.2793 2022/06/28 21:12:00 - mmengine - INFO - Epoch(train) [74][60/3757] lr: 1.000e-03 eta: 7:29:42 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.9909 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9027 loss: 0.9027 2022/06/28 21:12:06 - mmengine - INFO - Epoch(train) [74][80/3757] lr: 1.000e-03 eta: 7:29:36 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.6850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1298 loss: 1.1298 2022/06/28 21:12:12 - mmengine - INFO - Epoch(train) [74][100/3757] lr: 1.000e-03 eta: 7:29:31 time: 0.486 data_time: 0.018 memory: 5150 grad_norm: 8.1651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3740 loss: 1.3740 2022/06/28 21:12:17 - mmengine - INFO - Epoch(train) [74][120/3757] lr: 1.000e-03 eta: 7:29:26 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 8.9970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0957 loss: 1.0957 2022/06/28 21:12:22 - mmengine - INFO - Epoch(train) [74][140/3757] lr: 1.000e-03 eta: 7:29:20 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 6.1237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0855 loss: 1.0855 2022/06/28 21:12:27 - mmengine - INFO - Epoch(train) [74][160/3757] lr: 1.000e-03 eta: 7:29:15 time: 0.211 data_time: 0.028 memory: 5150 grad_norm: 8.4659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/06/28 21:12:32 - mmengine - INFO - Epoch(train) [74][180/3757] lr: 1.000e-03 eta: 7:29:10 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.2012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2753 loss: 1.2753 2022/06/28 21:12:39 - mmengine - INFO - Epoch(train) [74][200/3757] lr: 1.000e-03 eta: 7:29:05 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 7.6487 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3728 loss: 1.3728 2022/06/28 21:12:44 - mmengine - INFO - Epoch(train) [74][220/3757] lr: 1.000e-03 eta: 7:28:59 time: 0.487 data_time: 0.015 memory: 5150 grad_norm: 8.9611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3764 loss: 1.3764 2022/06/28 21:12:49 - mmengine - INFO - Epoch(train) [74][240/3757] lr: 1.000e-03 eta: 7:28:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.4509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0764 loss: 1.0764 2022/06/28 21:12:54 - mmengine - INFO - Epoch(train) [74][260/3757] lr: 1.000e-03 eta: 7:28:49 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.1547 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6649 loss: 1.6649 2022/06/28 21:13:00 - mmengine - INFO - Epoch(train) [74][280/3757] lr: 1.000e-03 eta: 7:28:44 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.2543 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1450 loss: 1.1450 2022/06/28 21:13:05 - mmengine - INFO - Epoch(train) [74][300/3757] lr: 1.000e-03 eta: 7:28:38 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 8.7326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/06/28 21:13:11 - mmengine - INFO - Epoch(train) [74][320/3757] lr: 1.000e-03 eta: 7:28:33 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 7.4780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4352 loss: 1.4352 2022/06/28 21:13:16 - mmengine - INFO - Epoch(train) [74][340/3757] lr: 1.000e-03 eta: 7:28:28 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 7.1966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1877 loss: 1.1877 2022/06/28 21:13:21 - mmengine - INFO - Epoch(train) [74][360/3757] lr: 1.000e-03 eta: 7:28:22 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.0802 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7285 loss: 1.7285 2022/06/28 21:13:27 - mmengine - INFO - Epoch(train) [74][380/3757] lr: 1.000e-03 eta: 7:28:17 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.3446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4067 loss: 1.4067 2022/06/28 21:13:32 - mmengine - INFO - Epoch(train) [74][400/3757] lr: 1.000e-03 eta: 7:28:11 time: 0.344 data_time: 0.007 memory: 5150 grad_norm: 8.7057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2895 loss: 1.2895 2022/06/28 21:13:37 - mmengine - INFO - Epoch(train) [74][420/3757] lr: 1.000e-03 eta: 7:28:06 time: 0.298 data_time: 0.008 memory: 5150 grad_norm: 9.7496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0701 loss: 1.0701 2022/06/28 21:13:42 - mmengine - INFO - Epoch(train) [74][440/3757] lr: 1.000e-03 eta: 7:28:01 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.3338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2742 loss: 1.2742 2022/06/28 21:13:47 - mmengine - INFO - Epoch(train) [74][460/3757] lr: 1.000e-03 eta: 7:27:55 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 8.4978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3092 loss: 1.3092 2022/06/28 21:13:53 - mmengine - INFO - Epoch(train) [74][480/3757] lr: 1.000e-03 eta: 7:27:50 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 7.2596 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6393 loss: 1.6393 2022/06/28 21:13:58 - mmengine - INFO - Epoch(train) [74][500/3757] lr: 1.000e-03 eta: 7:27:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.4119 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6185 loss: 1.6185 2022/06/28 21:14:03 - mmengine - INFO - Epoch(train) [74][520/3757] lr: 1.000e-03 eta: 7:27:39 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6538 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2773 loss: 1.2773 2022/06/28 21:14:09 - mmengine - INFO - Epoch(train) [74][540/3757] lr: 1.000e-03 eta: 7:27:34 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.9486 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3061 loss: 1.3061 2022/06/28 21:14:15 - mmengine - INFO - Epoch(train) [74][560/3757] lr: 1.000e-03 eta: 7:27:29 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.3649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2670 loss: 1.2670 2022/06/28 21:14:21 - mmengine - INFO - Epoch(train) [74][580/3757] lr: 1.000e-03 eta: 7:27:24 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 10.7987 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4603 loss: 1.4603 2022/06/28 21:14:25 - mmengine - INFO - Epoch(train) [74][600/3757] lr: 1.000e-03 eta: 7:27:18 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.7659 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4422 loss: 1.4422 2022/06/28 21:14:30 - mmengine - INFO - Epoch(train) [74][620/3757] lr: 1.000e-03 eta: 7:27:13 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.6802 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3401 loss: 1.3401 2022/06/28 21:14:36 - mmengine - INFO - Epoch(train) [74][640/3757] lr: 1.000e-03 eta: 7:27:08 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 8.5226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1137 loss: 1.1137 2022/06/28 21:14:41 - mmengine - INFO - Epoch(train) [74][660/3757] lr: 1.000e-03 eta: 7:27:02 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.7113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3633 loss: 1.3633 2022/06/28 21:14:45 - mmengine - INFO - Epoch(train) [74][680/3757] lr: 1.000e-03 eta: 7:26:56 time: 0.236 data_time: 0.012 memory: 5150 grad_norm: 8.5510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2248 loss: 1.2248 2022/06/28 21:14:50 - mmengine - INFO - Epoch(train) [74][700/3757] lr: 1.000e-03 eta: 7:26:51 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 6.8738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/06/28 21:14:57 - mmengine - INFO - Epoch(train) [74][720/3757] lr: 1.000e-03 eta: 7:26:46 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.0748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8585 loss: 0.8585 2022/06/28 21:15:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:15:02 - mmengine - INFO - Epoch(train) [74][740/3757] lr: 1.000e-03 eta: 7:26:41 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 8.3134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3015 loss: 1.3015 2022/06/28 21:15:08 - mmengine - INFO - Epoch(train) [74][760/3757] lr: 1.000e-03 eta: 7:26:36 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 8.6856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4430 loss: 1.4430 2022/06/28 21:15:13 - mmengine - INFO - Epoch(train) [74][780/3757] lr: 1.000e-03 eta: 7:26:30 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4694 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/06/28 21:15:19 - mmengine - INFO - Epoch(train) [74][800/3757] lr: 1.000e-03 eta: 7:26:25 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.5957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3136 loss: 1.3136 2022/06/28 21:15:24 - mmengine - INFO - Epoch(train) [74][820/3757] lr: 1.000e-03 eta: 7:26:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.3087 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/06/28 21:15:30 - mmengine - INFO - Epoch(train) [74][840/3757] lr: 1.000e-03 eta: 7:26:14 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.4803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5533 loss: 1.5533 2022/06/28 21:15:35 - mmengine - INFO - Epoch(train) [74][860/3757] lr: 1.000e-03 eta: 7:26:09 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 9.5235 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3978 loss: 1.3978 2022/06/28 21:15:40 - mmengine - INFO - Epoch(train) [74][880/3757] lr: 1.000e-03 eta: 7:26:04 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.1872 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/06/28 21:15:45 - mmengine - INFO - Epoch(train) [74][900/3757] lr: 1.000e-03 eta: 7:25:58 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.9853 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1883 loss: 1.1883 2022/06/28 21:15:50 - mmengine - INFO - Epoch(train) [74][920/3757] lr: 1.000e-03 eta: 7:25:53 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 8.7546 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4631 loss: 1.4631 2022/06/28 21:15:55 - mmengine - INFO - Epoch(train) [74][940/3757] lr: 1.000e-03 eta: 7:25:47 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 7.3229 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3498 loss: 1.3498 2022/06/28 21:16:02 - mmengine - INFO - Epoch(train) [74][960/3757] lr: 1.000e-03 eta: 7:25:42 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.1245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3495 loss: 1.3495 2022/06/28 21:16:07 - mmengine - INFO - Epoch(train) [74][980/3757] lr: 1.000e-03 eta: 7:25:37 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 8.0413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3428 loss: 1.3428 2022/06/28 21:16:12 - mmengine - INFO - Epoch(train) [74][1000/3757] lr: 1.000e-03 eta: 7:25:32 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.2446 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4991 loss: 1.4991 2022/06/28 21:16:18 - mmengine - INFO - Epoch(train) [74][1020/3757] lr: 1.000e-03 eta: 7:25:27 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.6009 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/06/28 21:16:22 - mmengine - INFO - Epoch(train) [74][1040/3757] lr: 1.000e-03 eta: 7:25:21 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 8.3491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2464 loss: 1.2464 2022/06/28 21:16:28 - mmengine - INFO - Epoch(train) [74][1060/3757] lr: 1.000e-03 eta: 7:25:16 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 7.4682 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4429 loss: 1.4429 2022/06/28 21:16:34 - mmengine - INFO - Epoch(train) [74][1080/3757] lr: 1.000e-03 eta: 7:25:11 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 7.7927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2970 loss: 1.2970 2022/06/28 21:16:39 - mmengine - INFO - Epoch(train) [74][1100/3757] lr: 1.000e-03 eta: 7:25:05 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 8.9089 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4202 loss: 1.4202 2022/06/28 21:16:44 - mmengine - INFO - Epoch(train) [74][1120/3757] lr: 1.000e-03 eta: 7:25:00 time: 0.237 data_time: 0.007 memory: 5150 grad_norm: 8.0407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3588 loss: 1.3588 2022/06/28 21:16:50 - mmengine - INFO - Epoch(train) [74][1140/3757] lr: 1.000e-03 eta: 7:24:55 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1622 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5163 loss: 1.5163 2022/06/28 21:16:55 - mmengine - INFO - Epoch(train) [74][1160/3757] lr: 1.000e-03 eta: 7:24:49 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.9340 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2867 loss: 1.2867 2022/06/28 21:17:00 - mmengine - INFO - Epoch(train) [74][1180/3757] lr: 1.000e-03 eta: 7:24:44 time: 0.221 data_time: 0.006 memory: 5150 grad_norm: 8.2102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3660 loss: 1.3660 2022/06/28 21:17:07 - mmengine - INFO - Epoch(train) [74][1200/3757] lr: 1.000e-03 eta: 7:24:39 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.9128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1473 loss: 1.1473 2022/06/28 21:17:11 - mmengine - INFO - Epoch(train) [74][1220/3757] lr: 1.000e-03 eta: 7:24:33 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.0247 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9752 loss: 0.9752 2022/06/28 21:17:16 - mmengine - INFO - Epoch(train) [74][1240/3757] lr: 1.000e-03 eta: 7:24:28 time: 0.219 data_time: 0.014 memory: 5150 grad_norm: 9.5892 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2942 loss: 1.2942 2022/06/28 21:17:21 - mmengine - INFO - Epoch(train) [74][1260/3757] lr: 1.000e-03 eta: 7:24:22 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 9.2024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/06/28 21:17:27 - mmengine - INFO - Epoch(train) [74][1280/3757] lr: 1.000e-03 eta: 7:24:17 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.6078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4614 loss: 1.4614 2022/06/28 21:17:32 - mmengine - INFO - Epoch(train) [74][1300/3757] lr: 1.000e-03 eta: 7:24:12 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.7817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0860 loss: 1.0860 2022/06/28 21:17:37 - mmengine - INFO - Epoch(train) [74][1320/3757] lr: 1.000e-03 eta: 7:24:07 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.1950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0221 loss: 1.0221 2022/06/28 21:17:43 - mmengine - INFO - Epoch(train) [74][1340/3757] lr: 1.000e-03 eta: 7:24:01 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.0153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1200 loss: 1.1200 2022/06/28 21:17:48 - mmengine - INFO - Epoch(train) [74][1360/3757] lr: 1.000e-03 eta: 7:23:56 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.6917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5777 loss: 1.5777 2022/06/28 21:17:54 - mmengine - INFO - Epoch(train) [74][1380/3757] lr: 1.000e-03 eta: 7:23:51 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.5665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4335 loss: 1.4335 2022/06/28 21:17:59 - mmengine - INFO - Epoch(train) [74][1400/3757] lr: 1.000e-03 eta: 7:23:45 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.4902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/06/28 21:18:04 - mmengine - INFO - Epoch(train) [74][1420/3757] lr: 1.000e-03 eta: 7:23:40 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 8.7280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2784 loss: 1.2784 2022/06/28 21:18:10 - mmengine - INFO - Epoch(train) [74][1440/3757] lr: 1.000e-03 eta: 7:23:35 time: 0.222 data_time: 0.019 memory: 5150 grad_norm: 8.3629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1354 loss: 1.1354 2022/06/28 21:18:15 - mmengine - INFO - Epoch(train) [74][1460/3757] lr: 1.000e-03 eta: 7:23:29 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7097 loss: 1.7097 2022/06/28 21:18:22 - mmengine - INFO - Epoch(train) [74][1480/3757] lr: 1.000e-03 eta: 7:23:25 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 9.8412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4096 loss: 1.4096 2022/06/28 21:18:27 - mmengine - INFO - Epoch(train) [74][1500/3757] lr: 1.000e-03 eta: 7:23:19 time: 0.799 data_time: 0.010 memory: 5150 grad_norm: 7.7032 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/06/28 21:18:32 - mmengine - INFO - Epoch(train) [74][1520/3757] lr: 1.000e-03 eta: 7:23:14 time: 0.228 data_time: 0.014 memory: 5150 grad_norm: 7.0640 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3109 loss: 1.3109 2022/06/28 21:18:37 - mmengine - INFO - Epoch(train) [74][1540/3757] lr: 1.000e-03 eta: 7:23:08 time: 0.225 data_time: 0.043 memory: 5150 grad_norm: 8.0600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9183 loss: 0.9183 2022/06/28 21:18:43 - mmengine - INFO - Epoch(train) [74][1560/3757] lr: 1.000e-03 eta: 7:23:03 time: 0.602 data_time: 0.014 memory: 5150 grad_norm: 9.5663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/06/28 21:18:47 - mmengine - INFO - Epoch(train) [74][1580/3757] lr: 1.000e-03 eta: 7:22:58 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.3672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5323 loss: 1.5323 2022/06/28 21:18:53 - mmengine - INFO - Epoch(train) [74][1600/3757] lr: 1.000e-03 eta: 7:22:52 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.2824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4693 loss: 1.4693 2022/06/28 21:18:58 - mmengine - INFO - Epoch(train) [74][1620/3757] lr: 1.000e-03 eta: 7:22:47 time: 0.960 data_time: 0.007 memory: 5150 grad_norm: 8.2417 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2287 loss: 1.2287 2022/06/28 21:19:03 - mmengine - INFO - Epoch(train) [74][1640/3757] lr: 1.000e-03 eta: 7:22:41 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.4183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/06/28 21:19:10 - mmengine - INFO - Epoch(train) [74][1660/3757] lr: 1.000e-03 eta: 7:22:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.8503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1092 loss: 1.1092 2022/06/28 21:19:14 - mmengine - INFO - Epoch(train) [74][1680/3757] lr: 1.000e-03 eta: 7:22:31 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 8.1310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2630 loss: 1.2630 2022/06/28 21:19:18 - mmengine - INFO - Epoch(train) [74][1700/3757] lr: 1.000e-03 eta: 7:22:25 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 8.3654 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3790 loss: 1.3790 2022/06/28 21:19:24 - mmengine - INFO - Epoch(train) [74][1720/3757] lr: 1.000e-03 eta: 7:22:20 time: 0.244 data_time: 0.008 memory: 5150 grad_norm: 7.2760 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1595 loss: 1.1595 2022/06/28 21:19:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:19:30 - mmengine - INFO - Epoch(train) [74][1740/3757] lr: 1.000e-03 eta: 7:22:15 time: 0.638 data_time: 0.017 memory: 5150 grad_norm: 9.4394 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2731 loss: 1.2731 2022/06/28 21:19:35 - mmengine - INFO - Epoch(train) [74][1760/3757] lr: 1.000e-03 eta: 7:22:09 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.2095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3430 loss: 1.3430 2022/06/28 21:19:41 - mmengine - INFO - Epoch(train) [74][1780/3757] lr: 1.000e-03 eta: 7:22:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.6073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0847 loss: 1.0847 2022/06/28 21:19:46 - mmengine - INFO - Epoch(train) [74][1800/3757] lr: 1.000e-03 eta: 7:21:59 time: 0.612 data_time: 0.007 memory: 5150 grad_norm: 8.4273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1315 loss: 1.1315 2022/06/28 21:19:52 - mmengine - INFO - Epoch(train) [74][1820/3757] lr: 1.000e-03 eta: 7:21:54 time: 0.291 data_time: 0.007 memory: 5150 grad_norm: 9.5588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3587 loss: 1.3587 2022/06/28 21:19:57 - mmengine - INFO - Epoch(train) [74][1840/3757] lr: 1.000e-03 eta: 7:21:48 time: 0.376 data_time: 0.007 memory: 5150 grad_norm: 8.4731 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3217 loss: 1.3217 2022/06/28 21:20:03 - mmengine - INFO - Epoch(train) [74][1860/3757] lr: 1.000e-03 eta: 7:21:43 time: 1.162 data_time: 0.007 memory: 5150 grad_norm: 7.8800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9893 loss: 0.9893 2022/06/28 21:20:09 - mmengine - INFO - Epoch(train) [74][1880/3757] lr: 1.000e-03 eta: 7:21:38 time: 0.984 data_time: 0.008 memory: 5150 grad_norm: 10.0252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/06/28 21:20:13 - mmengine - INFO - Epoch(train) [74][1900/3757] lr: 1.000e-03 eta: 7:21:32 time: 0.294 data_time: 0.009 memory: 5150 grad_norm: 8.8251 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3788 loss: 1.3788 2022/06/28 21:20:20 - mmengine - INFO - Epoch(train) [74][1920/3757] lr: 1.000e-03 eta: 7:21:28 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.5451 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8296 loss: 1.8296 2022/06/28 21:20:26 - mmengine - INFO - Epoch(train) [74][1940/3757] lr: 1.000e-03 eta: 7:21:23 time: 0.252 data_time: 0.007 memory: 5150 grad_norm: 8.1049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/06/28 21:20:30 - mmengine - INFO - Epoch(train) [74][1960/3757] lr: 1.000e-03 eta: 7:21:17 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 7.9583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0560 loss: 1.0560 2022/06/28 21:20:35 - mmengine - INFO - Epoch(train) [74][1980/3757] lr: 1.000e-03 eta: 7:21:11 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 6.8966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1166 loss: 1.1166 2022/06/28 21:20:40 - mmengine - INFO - Epoch(train) [74][2000/3757] lr: 1.000e-03 eta: 7:21:06 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 7.9766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0804 loss: 1.0804 2022/06/28 21:20:46 - mmengine - INFO - Epoch(train) [74][2020/3757] lr: 1.000e-03 eta: 7:21:01 time: 0.195 data_time: 0.017 memory: 5150 grad_norm: 7.9679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0462 loss: 1.0462 2022/06/28 21:20:51 - mmengine - INFO - Epoch(train) [74][2040/3757] lr: 1.000e-03 eta: 7:20:55 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.2220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4166 loss: 1.4166 2022/06/28 21:20:56 - mmengine - INFO - Epoch(train) [74][2060/3757] lr: 1.000e-03 eta: 7:20:50 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 8.8728 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4739 loss: 1.4739 2022/06/28 21:21:02 - mmengine - INFO - Epoch(train) [74][2080/3757] lr: 1.000e-03 eta: 7:20:45 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.4213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1789 loss: 1.1789 2022/06/28 21:21:08 - mmengine - INFO - Epoch(train) [74][2100/3757] lr: 1.000e-03 eta: 7:20:40 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.1532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6324 loss: 1.6324 2022/06/28 21:21:13 - mmengine - INFO - Epoch(train) [74][2120/3757] lr: 1.000e-03 eta: 7:20:34 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 8.6237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3659 loss: 1.3659 2022/06/28 21:21:19 - mmengine - INFO - Epoch(train) [74][2140/3757] lr: 1.000e-03 eta: 7:20:29 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 9.5844 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1938 loss: 1.1938 2022/06/28 21:21:24 - mmengine - INFO - Epoch(train) [74][2160/3757] lr: 1.000e-03 eta: 7:20:24 time: 0.212 data_time: 0.028 memory: 5150 grad_norm: 8.0520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2051 loss: 1.2051 2022/06/28 21:21:30 - mmengine - INFO - Epoch(train) [74][2180/3757] lr: 1.000e-03 eta: 7:20:19 time: 0.234 data_time: 0.057 memory: 5150 grad_norm: 8.1729 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/06/28 21:21:34 - mmengine - INFO - Epoch(train) [74][2200/3757] lr: 1.000e-03 eta: 7:20:13 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.3115 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2394 loss: 1.2394 2022/06/28 21:21:39 - mmengine - INFO - Epoch(train) [74][2220/3757] lr: 1.000e-03 eta: 7:20:08 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 7.7782 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6252 loss: 1.6252 2022/06/28 21:21:45 - mmengine - INFO - Epoch(train) [74][2240/3757] lr: 1.000e-03 eta: 7:20:02 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.3570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/06/28 21:21:50 - mmengine - INFO - Epoch(train) [74][2260/3757] lr: 1.000e-03 eta: 7:19:57 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.0543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/06/28 21:21:55 - mmengine - INFO - Epoch(train) [74][2280/3757] lr: 1.000e-03 eta: 7:19:52 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 8.2332 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0858 loss: 1.0858 2022/06/28 21:22:01 - mmengine - INFO - Epoch(train) [74][2300/3757] lr: 1.000e-03 eta: 7:19:46 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.8739 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2020 loss: 1.2020 2022/06/28 21:22:06 - mmengine - INFO - Epoch(train) [74][2320/3757] lr: 1.000e-03 eta: 7:19:41 time: 0.208 data_time: 0.025 memory: 5150 grad_norm: 8.4180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/06/28 21:22:11 - mmengine - INFO - Epoch(train) [74][2340/3757] lr: 1.000e-03 eta: 7:19:35 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 10.3192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5456 loss: 1.5456 2022/06/28 21:22:16 - mmengine - INFO - Epoch(train) [74][2360/3757] lr: 1.000e-03 eta: 7:19:30 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.5539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3577 loss: 1.3577 2022/06/28 21:22:22 - mmengine - INFO - Epoch(train) [74][2380/3757] lr: 1.000e-03 eta: 7:19:25 time: 0.199 data_time: 0.025 memory: 5150 grad_norm: 9.8601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3607 loss: 1.3607 2022/06/28 21:22:27 - mmengine - INFO - Epoch(train) [74][2400/3757] lr: 1.000e-03 eta: 7:19:20 time: 0.511 data_time: 0.008 memory: 5150 grad_norm: 9.0976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0188 loss: 1.0188 2022/06/28 21:22:32 - mmengine - INFO - Epoch(train) [74][2420/3757] lr: 1.000e-03 eta: 7:19:14 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.3955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5819 loss: 1.5819 2022/06/28 21:22:38 - mmengine - INFO - Epoch(train) [74][2440/3757] lr: 1.000e-03 eta: 7:19:09 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 9.0135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3301 loss: 1.3301 2022/06/28 21:22:43 - mmengine - INFO - Epoch(train) [74][2460/3757] lr: 1.000e-03 eta: 7:19:03 time: 0.819 data_time: 0.007 memory: 5150 grad_norm: 7.7205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1378 loss: 1.1378 2022/06/28 21:22:48 - mmengine - INFO - Epoch(train) [74][2480/3757] lr: 1.000e-03 eta: 7:18:58 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 5.8496 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0528 loss: 1.0528 2022/06/28 21:22:54 - mmengine - INFO - Epoch(train) [74][2500/3757] lr: 1.000e-03 eta: 7:18:53 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 8.4478 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1277 loss: 1.1277 2022/06/28 21:22:59 - mmengine - INFO - Epoch(train) [74][2520/3757] lr: 1.000e-03 eta: 7:18:47 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.4640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2640 loss: 1.2640 2022/06/28 21:23:04 - mmengine - INFO - Epoch(train) [74][2540/3757] lr: 1.000e-03 eta: 7:18:42 time: 0.861 data_time: 0.008 memory: 5150 grad_norm: 8.5183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2854 loss: 1.2854 2022/06/28 21:23:10 - mmengine - INFO - Epoch(train) [74][2560/3757] lr: 1.000e-03 eta: 7:18:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.5007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/06/28 21:23:15 - mmengine - INFO - Epoch(train) [74][2580/3757] lr: 1.000e-03 eta: 7:18:31 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 8.5092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1221 loss: 1.1221 2022/06/28 21:23:20 - mmengine - INFO - Epoch(train) [74][2600/3757] lr: 1.000e-03 eta: 7:18:26 time: 0.706 data_time: 0.008 memory: 5150 grad_norm: 8.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2521 loss: 1.2521 2022/06/28 21:23:25 - mmengine - INFO - Epoch(train) [74][2620/3757] lr: 1.000e-03 eta: 7:18:21 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 8.0975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2543 loss: 1.2543 2022/06/28 21:23:32 - mmengine - INFO - Epoch(train) [74][2640/3757] lr: 1.000e-03 eta: 7:18:16 time: 1.153 data_time: 0.007 memory: 5150 grad_norm: 8.0059 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3940 loss: 1.3940 2022/06/28 21:23:37 - mmengine - INFO - Epoch(train) [74][2660/3757] lr: 1.000e-03 eta: 7:18:10 time: 0.383 data_time: 0.008 memory: 5150 grad_norm: 10.2386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0844 loss: 1.0844 2022/06/28 21:23:41 - mmengine - INFO - Epoch(train) [74][2680/3757] lr: 1.000e-03 eta: 7:18:05 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.4102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4928 loss: 1.4928 2022/06/28 21:23:47 - mmengine - INFO - Epoch(train) [74][2700/3757] lr: 1.000e-03 eta: 7:18:00 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 7.9412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/06/28 21:23:52 - mmengine - INFO - Epoch(train) [74][2720/3757] lr: 1.000e-03 eta: 7:17:54 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.5750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2068 loss: 1.2068 2022/06/28 21:23:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:23:58 - mmengine - INFO - Epoch(train) [74][2740/3757] lr: 1.000e-03 eta: 7:17:49 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 9.1751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7893 loss: 1.7893 2022/06/28 21:24:03 - mmengine - INFO - Epoch(train) [74][2760/3757] lr: 1.000e-03 eta: 7:17:44 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.7052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/06/28 21:24:09 - mmengine - INFO - Epoch(train) [74][2780/3757] lr: 1.000e-03 eta: 7:17:38 time: 0.763 data_time: 0.009 memory: 5150 grad_norm: 8.5449 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9636 loss: 0.9636 2022/06/28 21:24:14 - mmengine - INFO - Epoch(train) [74][2800/3757] lr: 1.000e-03 eta: 7:17:33 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 7.9564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2407 loss: 1.2407 2022/06/28 21:24:19 - mmengine - INFO - Epoch(train) [74][2820/3757] lr: 1.000e-03 eta: 7:17:28 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.9057 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6754 loss: 1.6754 2022/06/28 21:24:24 - mmengine - INFO - Epoch(train) [74][2840/3757] lr: 1.000e-03 eta: 7:17:22 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 9.1444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/06/28 21:24:30 - mmengine - INFO - Epoch(train) [74][2860/3757] lr: 1.000e-03 eta: 7:17:17 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.9238 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4522 loss: 1.4522 2022/06/28 21:24:36 - mmengine - INFO - Epoch(train) [74][2880/3757] lr: 1.000e-03 eta: 7:17:12 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.4505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2755 loss: 1.2755 2022/06/28 21:24:41 - mmengine - INFO - Epoch(train) [74][2900/3757] lr: 1.000e-03 eta: 7:17:07 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.0942 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/06/28 21:24:46 - mmengine - INFO - Epoch(train) [74][2920/3757] lr: 1.000e-03 eta: 7:17:01 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 8.5386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4236 loss: 1.4236 2022/06/28 21:24:51 - mmengine - INFO - Epoch(train) [74][2940/3757] lr: 1.000e-03 eta: 7:16:56 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 8.3394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4741 loss: 1.4741 2022/06/28 21:24:56 - mmengine - INFO - Epoch(train) [74][2960/3757] lr: 1.000e-03 eta: 7:16:50 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 7.5049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/06/28 21:25:02 - mmengine - INFO - Epoch(train) [74][2980/3757] lr: 1.000e-03 eta: 7:16:45 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 7.7726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/06/28 21:25:06 - mmengine - INFO - Epoch(train) [74][3000/3757] lr: 1.000e-03 eta: 7:16:40 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 8.4500 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9666 loss: 0.9666 2022/06/28 21:25:12 - mmengine - INFO - Epoch(train) [74][3020/3757] lr: 1.000e-03 eta: 7:16:34 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.9159 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2318 loss: 1.2318 2022/06/28 21:25:18 - mmengine - INFO - Epoch(train) [74][3040/3757] lr: 1.000e-03 eta: 7:16:29 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.5091 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/06/28 21:25:23 - mmengine - INFO - Epoch(train) [74][3060/3757] lr: 1.000e-03 eta: 7:16:24 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.0954 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5530 loss: 1.5530 2022/06/28 21:25:29 - mmengine - INFO - Epoch(train) [74][3080/3757] lr: 1.000e-03 eta: 7:16:18 time: 0.282 data_time: 0.008 memory: 5150 grad_norm: 8.9470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3802 loss: 1.3802 2022/06/28 21:25:33 - mmengine - INFO - Epoch(train) [74][3100/3757] lr: 1.000e-03 eta: 7:16:13 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.6798 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4224 loss: 1.4224 2022/06/28 21:25:39 - mmengine - INFO - Epoch(train) [74][3120/3757] lr: 1.000e-03 eta: 7:16:08 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.3235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1384 loss: 1.1384 2022/06/28 21:25:44 - mmengine - INFO - Epoch(train) [74][3140/3757] lr: 1.000e-03 eta: 7:16:02 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.6807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/06/28 21:25:50 - mmengine - INFO - Epoch(train) [74][3160/3757] lr: 1.000e-03 eta: 7:15:57 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.2331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/06/28 21:25:54 - mmengine - INFO - Epoch(train) [74][3180/3757] lr: 1.000e-03 eta: 7:15:52 time: 0.249 data_time: 0.013 memory: 5150 grad_norm: 9.9949 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4986 loss: 1.4986 2022/06/28 21:26:00 - mmengine - INFO - Epoch(train) [74][3200/3757] lr: 1.000e-03 eta: 7:15:46 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.8352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/06/28 21:26:05 - mmengine - INFO - Epoch(train) [74][3220/3757] lr: 1.000e-03 eta: 7:15:41 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.4868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3268 loss: 1.3268 2022/06/28 21:26:11 - mmengine - INFO - Epoch(train) [74][3240/3757] lr: 1.000e-03 eta: 7:15:36 time: 0.329 data_time: 0.015 memory: 5150 grad_norm: 8.1968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2830 loss: 1.2830 2022/06/28 21:26:16 - mmengine - INFO - Epoch(train) [74][3260/3757] lr: 1.000e-03 eta: 7:15:30 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7880 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3175 loss: 1.3175 2022/06/28 21:26:22 - mmengine - INFO - Epoch(train) [74][3280/3757] lr: 1.000e-03 eta: 7:15:25 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.0266 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1652 loss: 1.1652 2022/06/28 21:26:27 - mmengine - INFO - Epoch(train) [74][3300/3757] lr: 1.000e-03 eta: 7:15:20 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.0671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/06/28 21:26:33 - mmengine - INFO - Epoch(train) [74][3320/3757] lr: 1.000e-03 eta: 7:15:15 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.8299 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4893 loss: 1.4893 2022/06/28 21:26:38 - mmengine - INFO - Epoch(train) [74][3340/3757] lr: 1.000e-03 eta: 7:15:09 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 8.8930 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4369 loss: 1.4369 2022/06/28 21:26:43 - mmengine - INFO - Epoch(train) [74][3360/3757] lr: 1.000e-03 eta: 7:15:04 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 9.4363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/06/28 21:26:49 - mmengine - INFO - Epoch(train) [74][3380/3757] lr: 1.000e-03 eta: 7:14:59 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.4796 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3582 loss: 1.3582 2022/06/28 21:26:54 - mmengine - INFO - Epoch(train) [74][3400/3757] lr: 1.000e-03 eta: 7:14:53 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.1946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3821 loss: 1.3821 2022/06/28 21:27:00 - mmengine - INFO - Epoch(train) [74][3420/3757] lr: 1.000e-03 eta: 7:14:48 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.5110 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.6808 loss: 1.6808 2022/06/28 21:27:05 - mmengine - INFO - Epoch(train) [74][3440/3757] lr: 1.000e-03 eta: 7:14:43 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 8.4205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3972 loss: 1.3972 2022/06/28 21:27:11 - mmengine - INFO - Epoch(train) [74][3460/3757] lr: 1.000e-03 eta: 7:14:38 time: 0.243 data_time: 0.007 memory: 5150 grad_norm: 8.1649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2376 loss: 1.2376 2022/06/28 21:27:15 - mmengine - INFO - Epoch(train) [74][3480/3757] lr: 1.000e-03 eta: 7:14:32 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.5285 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0441 loss: 1.0441 2022/06/28 21:27:21 - mmengine - INFO - Epoch(train) [74][3500/3757] lr: 1.000e-03 eta: 7:14:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.1108 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5839 loss: 1.5839 2022/06/28 21:27:26 - mmengine - INFO - Epoch(train) [74][3520/3757] lr: 1.000e-03 eta: 7:14:21 time: 0.213 data_time: 0.006 memory: 5150 grad_norm: 8.9381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5307 loss: 1.5307 2022/06/28 21:27:32 - mmengine - INFO - Epoch(train) [74][3540/3757] lr: 1.000e-03 eta: 7:14:16 time: 0.224 data_time: 0.009 memory: 5150 grad_norm: 8.4074 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2885 loss: 1.2885 2022/06/28 21:27:36 - mmengine - INFO - Epoch(train) [74][3560/3757] lr: 1.000e-03 eta: 7:14:11 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.1315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8119 loss: 0.8119 2022/06/28 21:27:42 - mmengine - INFO - Epoch(train) [74][3580/3757] lr: 1.000e-03 eta: 7:14:05 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.6446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/06/28 21:27:47 - mmengine - INFO - Epoch(train) [74][3600/3757] lr: 1.000e-03 eta: 7:14:00 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.9489 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3610 loss: 1.3610 2022/06/28 21:27:52 - mmengine - INFO - Epoch(train) [74][3620/3757] lr: 1.000e-03 eta: 7:13:55 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.1803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4496 loss: 1.4496 2022/06/28 21:27:58 - mmengine - INFO - Epoch(train) [74][3640/3757] lr: 1.000e-03 eta: 7:13:49 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.3916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/06/28 21:28:03 - mmengine - INFO - Epoch(train) [74][3660/3757] lr: 1.000e-03 eta: 7:13:44 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.5024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1967 loss: 1.1967 2022/06/28 21:28:08 - mmengine - INFO - Epoch(train) [74][3680/3757] lr: 1.000e-03 eta: 7:13:39 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.9882 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1769 loss: 1.1769 2022/06/28 21:28:14 - mmengine - INFO - Epoch(train) [74][3700/3757] lr: 1.000e-03 eta: 7:13:33 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1462 loss: 1.1462 2022/06/28 21:28:19 - mmengine - INFO - Epoch(train) [74][3720/3757] lr: 1.000e-03 eta: 7:13:28 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 6.7975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/06/28 21:28:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:28:25 - mmengine - INFO - Epoch(train) [74][3740/3757] lr: 1.000e-03 eta: 7:13:23 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.4426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5231 loss: 1.5231 2022/06/28 21:28:28 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:29:01 - mmengine - INFO - Epoch(val) [74][20/310] eta: 0:05:37 time: 1.039 data_time: 0.377 memory: 9746 2022/06/28 21:29:23 - mmengine - INFO - Epoch(val) [74][40/310] eta: 0:04:38 time: 0.906 data_time: 0.262 memory: 9746 2022/06/28 21:29:47 - mmengine - INFO - Epoch(val) [74][60/310] eta: 0:04:26 time: 1.287 data_time: 0.635 memory: 9746 2022/06/28 21:30:09 - mmengine - INFO - Epoch(val) [74][80/310] eta: 0:04:34 time: 1.088 data_time: 0.364 memory: 9746 2022/06/28 21:30:33 - mmengine - INFO - Epoch(val) [74][100/310] eta: 0:04:16 time: 1.526 data_time: 0.868 memory: 9746 2022/06/28 21:30:55 - mmengine - INFO - Epoch(val) [74][120/310] eta: 0:03:14 time: 1.076 data_time: 0.438 memory: 9746 2022/06/28 21:31:20 - mmengine - INFO - Epoch(val) [74][140/310] eta: 0:03:34 time: 1.661 data_time: 0.583 memory: 9746 2022/06/28 21:31:45 - mmengine - INFO - Epoch(val) [74][160/310] eta: 0:03:20 time: 3.646 data_time: 2.971 memory: 9746 2022/06/28 21:32:08 - mmengine - INFO - Epoch(val) [74][180/310] eta: 0:02:48 time: 1.061 data_time: 0.413 memory: 9746 2022/06/28 21:32:30 - mmengine - INFO - Epoch(val) [74][200/310] eta: 0:02:07 time: 1.109 data_time: 0.453 memory: 9746 2022/06/28 21:32:52 - mmengine - INFO - Epoch(val) [74][220/310] eta: 0:01:36 time: 1.157 data_time: 0.516 memory: 9746 2022/06/28 21:33:14 - mmengine - INFO - Epoch(val) [74][240/310] eta: 0:01:22 time: 1.078 data_time: 0.430 memory: 9746 2022/06/28 21:33:37 - mmengine - INFO - Epoch(val) [74][260/310] eta: 0:01:01 time: 0.944 data_time: 0.294 memory: 9746 2022/06/28 21:34:00 - mmengine - INFO - Epoch(val) [74][280/310] eta: 0:00:32 time: 1.365 data_time: 0.726 memory: 9746 2022/06/28 21:34:19 - mmengine - INFO - Epoch(val) [74][300/310] eta: 0:00:08 time: 0.641 data_time: 0.067 memory: 9746 2022/06/28 21:34:31 - mmengine - INFO - Epoch(val) [74][310/310] acc/top1: 0.7119 acc/top5: 0.9000 acc/mean1: 0.7119 2022/06/28 21:34:40 - mmengine - INFO - Epoch(train) [75][20/3757] lr: 1.000e-03 eta: 7:13:13 time: 0.197 data_time: 0.008 memory: 9746 grad_norm: 9.0569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/06/28 21:34:46 - mmengine - INFO - Epoch(train) [75][40/3757] lr: 1.000e-03 eta: 7:13:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3628 loss: 1.3628 2022/06/28 21:34:51 - mmengine - INFO - Epoch(train) [75][60/3757] lr: 1.000e-03 eta: 7:13:03 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 8.1393 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1284 loss: 1.1284 2022/06/28 21:34:57 - mmengine - INFO - Epoch(train) [75][80/3757] lr: 1.000e-03 eta: 7:12:57 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.1085 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6748 loss: 1.6748 2022/06/28 21:35:02 - mmengine - INFO - Epoch(train) [75][100/3757] lr: 1.000e-03 eta: 7:12:52 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 8.2567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1626 loss: 1.1626 2022/06/28 21:35:07 - mmengine - INFO - Epoch(train) [75][120/3757] lr: 1.000e-03 eta: 7:12:47 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 6.7609 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1863 loss: 1.1863 2022/06/28 21:35:13 - mmengine - INFO - Epoch(train) [75][140/3757] lr: 1.000e-03 eta: 7:12:42 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.2751 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0125 loss: 1.0125 2022/06/28 21:35:19 - mmengine - INFO - Epoch(train) [75][160/3757] lr: 1.000e-03 eta: 7:12:36 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 8.6720 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9857 loss: 0.9857 2022/06/28 21:35:24 - mmengine - INFO - Epoch(train) [75][180/3757] lr: 1.000e-03 eta: 7:12:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.2988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2308 loss: 1.2308 2022/06/28 21:35:29 - mmengine - INFO - Epoch(train) [75][200/3757] lr: 1.000e-03 eta: 7:12:26 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.5144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/06/28 21:35:35 - mmengine - INFO - Epoch(train) [75][220/3757] lr: 1.000e-03 eta: 7:12:20 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 9.0642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/06/28 21:35:40 - mmengine - INFO - Epoch(train) [75][240/3757] lr: 1.000e-03 eta: 7:12:15 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.0554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0549 loss: 1.0549 2022/06/28 21:35:46 - mmengine - INFO - Epoch(train) [75][260/3757] lr: 1.000e-03 eta: 7:12:10 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.1697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1823 loss: 1.1823 2022/06/28 21:35:51 - mmengine - INFO - Epoch(train) [75][280/3757] lr: 1.000e-03 eta: 7:12:05 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.2552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2075 loss: 1.2075 2022/06/28 21:35:56 - mmengine - INFO - Epoch(train) [75][300/3757] lr: 1.000e-03 eta: 7:11:59 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 8.3358 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4613 loss: 1.4613 2022/06/28 21:36:01 - mmengine - INFO - Epoch(train) [75][320/3757] lr: 1.000e-03 eta: 7:11:54 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 6.8973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2455 loss: 1.2455 2022/06/28 21:36:07 - mmengine - INFO - Epoch(train) [75][340/3757] lr: 1.000e-03 eta: 7:11:49 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.0866 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/06/28 21:36:12 - mmengine - INFO - Epoch(train) [75][360/3757] lr: 1.000e-03 eta: 7:11:43 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.4257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5149 loss: 1.5149 2022/06/28 21:36:17 - mmengine - INFO - Epoch(train) [75][380/3757] lr: 1.000e-03 eta: 7:11:38 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.2558 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/06/28 21:36:22 - mmengine - INFO - Epoch(train) [75][400/3757] lr: 1.000e-03 eta: 7:11:32 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 6.8961 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2130 loss: 1.2130 2022/06/28 21:36:27 - mmengine - INFO - Epoch(train) [75][420/3757] lr: 1.000e-03 eta: 7:11:27 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.8672 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2137 loss: 1.2137 2022/06/28 21:36:33 - mmengine - INFO - Epoch(train) [75][440/3757] lr: 1.000e-03 eta: 7:11:22 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.1949 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0861 loss: 1.0861 2022/06/28 21:36:38 - mmengine - INFO - Epoch(train) [75][460/3757] lr: 1.000e-03 eta: 7:11:16 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.1128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/06/28 21:36:43 - mmengine - INFO - Epoch(train) [75][480/3757] lr: 1.000e-03 eta: 7:11:11 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 9.8362 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.6456 loss: 1.6456 2022/06/28 21:36:49 - mmengine - INFO - Epoch(train) [75][500/3757] lr: 1.000e-03 eta: 7:11:06 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.9281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1886 loss: 1.1886 2022/06/28 21:36:54 - mmengine - INFO - Epoch(train) [75][520/3757] lr: 1.000e-03 eta: 7:11:00 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.4190 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2931 loss: 1.2931 2022/06/28 21:36:59 - mmengine - INFO - Epoch(train) [75][540/3757] lr: 1.000e-03 eta: 7:10:55 time: 0.851 data_time: 0.008 memory: 5150 grad_norm: 8.3666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3085 loss: 1.3085 2022/06/28 21:37:05 - mmengine - INFO - Epoch(train) [75][560/3757] lr: 1.000e-03 eta: 7:10:50 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.2054 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9890 loss: 0.9890 2022/06/28 21:37:10 - mmengine - INFO - Epoch(train) [75][580/3757] lr: 1.000e-03 eta: 7:10:44 time: 0.488 data_time: 0.008 memory: 5150 grad_norm: 8.3736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/06/28 21:37:16 - mmengine - INFO - Epoch(train) [75][600/3757] lr: 1.000e-03 eta: 7:10:39 time: 0.574 data_time: 0.007 memory: 5150 grad_norm: 9.9579 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4450 loss: 1.4450 2022/06/28 21:37:21 - mmengine - INFO - Epoch(train) [75][620/3757] lr: 1.000e-03 eta: 7:10:34 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.0066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1879 loss: 1.1879 2022/06/28 21:37:27 - mmengine - INFO - Epoch(train) [75][640/3757] lr: 1.000e-03 eta: 7:10:29 time: 1.010 data_time: 0.007 memory: 5150 grad_norm: 8.2334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2978 loss: 1.2978 2022/06/28 21:37:33 - mmengine - INFO - Epoch(train) [75][660/3757] lr: 1.000e-03 eta: 7:10:23 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.1920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2910 loss: 1.2910 2022/06/28 21:37:37 - mmengine - INFO - Epoch(train) [75][680/3757] lr: 1.000e-03 eta: 7:10:18 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.7380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4165 loss: 1.4165 2022/06/28 21:37:42 - mmengine - INFO - Epoch(train) [75][700/3757] lr: 1.000e-03 eta: 7:10:12 time: 0.259 data_time: 0.012 memory: 5150 grad_norm: 8.0693 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1794 loss: 1.1794 2022/06/28 21:37:47 - mmengine - INFO - Epoch(train) [75][720/3757] lr: 1.000e-03 eta: 7:10:07 time: 0.220 data_time: 0.012 memory: 5150 grad_norm: 8.3926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0149 loss: 1.0149 2022/06/28 21:37:53 - mmengine - INFO - Epoch(train) [75][740/3757] lr: 1.000e-03 eta: 7:10:02 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.4791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0039 loss: 1.0039 2022/06/28 21:37:58 - mmengine - INFO - Epoch(train) [75][760/3757] lr: 1.000e-03 eta: 7:09:56 time: 0.538 data_time: 0.007 memory: 5150 grad_norm: 7.2464 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0546 loss: 1.0546 2022/06/28 21:38:04 - mmengine - INFO - Epoch(train) [75][780/3757] lr: 1.000e-03 eta: 7:09:51 time: 0.432 data_time: 0.011 memory: 5150 grad_norm: 7.9614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0945 loss: 1.0945 2022/06/28 21:38:09 - mmengine - INFO - Epoch(train) [75][800/3757] lr: 1.000e-03 eta: 7:09:46 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.3179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/06/28 21:38:14 - mmengine - INFO - Epoch(train) [75][820/3757] lr: 1.000e-03 eta: 7:09:40 time: 0.539 data_time: 0.007 memory: 5150 grad_norm: 7.9438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2504 loss: 1.2504 2022/06/28 21:38:19 - mmengine - INFO - Epoch(train) [75][840/3757] lr: 1.000e-03 eta: 7:09:35 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.3070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0733 loss: 1.0733 2022/06/28 21:38:25 - mmengine - INFO - Epoch(train) [75][860/3757] lr: 1.000e-03 eta: 7:09:30 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.1666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/06/28 21:38:31 - mmengine - INFO - Epoch(train) [75][880/3757] lr: 1.000e-03 eta: 7:09:25 time: 0.564 data_time: 0.007 memory: 5150 grad_norm: 8.8102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2492 loss: 1.2492 2022/06/28 21:38:36 - mmengine - INFO - Epoch(train) [75][900/3757] lr: 1.000e-03 eta: 7:09:19 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 9.0302 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/06/28 21:38:41 - mmengine - INFO - Epoch(train) [75][920/3757] lr: 1.000e-03 eta: 7:09:14 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 9.3321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1648 loss: 1.1648 2022/06/28 21:38:46 - mmengine - INFO - Epoch(train) [75][940/3757] lr: 1.000e-03 eta: 7:09:08 time: 0.916 data_time: 0.006 memory: 5150 grad_norm: 7.3278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3559 loss: 1.3559 2022/06/28 21:38:51 - mmengine - INFO - Epoch(train) [75][960/3757] lr: 1.000e-03 eta: 7:09:03 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 8.0321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1195 loss: 1.1195 2022/06/28 21:38:57 - mmengine - INFO - Epoch(train) [75][980/3757] lr: 1.000e-03 eta: 7:08:58 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 9.0090 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9832 loss: 0.9832 2022/06/28 21:38:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:39:02 - mmengine - INFO - Epoch(train) [75][1000/3757] lr: 1.000e-03 eta: 7:08:53 time: 0.883 data_time: 0.007 memory: 5150 grad_norm: 7.0156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/06/28 21:39:08 - mmengine - INFO - Epoch(train) [75][1020/3757] lr: 1.000e-03 eta: 7:08:47 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 8.0680 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4140 loss: 1.4140 2022/06/28 21:39:13 - mmengine - INFO - Epoch(train) [75][1040/3757] lr: 1.000e-03 eta: 7:08:42 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 8.6631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1159 loss: 1.1159 2022/06/28 21:39:18 - mmengine - INFO - Epoch(train) [75][1060/3757] lr: 1.000e-03 eta: 7:08:36 time: 0.682 data_time: 0.007 memory: 5150 grad_norm: 7.0779 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/06/28 21:39:23 - mmengine - INFO - Epoch(train) [75][1080/3757] lr: 1.000e-03 eta: 7:08:31 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 9.2034 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0678 loss: 1.0678 2022/06/28 21:39:28 - mmengine - INFO - Epoch(train) [75][1100/3757] lr: 1.000e-03 eta: 7:08:26 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 8.8889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/06/28 21:39:34 - mmengine - INFO - Epoch(train) [75][1120/3757] lr: 1.000e-03 eta: 7:08:20 time: 0.832 data_time: 0.006 memory: 5150 grad_norm: 7.5314 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/06/28 21:39:39 - mmengine - INFO - Epoch(train) [75][1140/3757] lr: 1.000e-03 eta: 7:08:15 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 7.8450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8593 loss: 0.8593 2022/06/28 21:39:45 - mmengine - INFO - Epoch(train) [75][1160/3757] lr: 1.000e-03 eta: 7:08:10 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 8.5470 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5392 loss: 1.5392 2022/06/28 21:39:50 - mmengine - INFO - Epoch(train) [75][1180/3757] lr: 1.000e-03 eta: 7:08:04 time: 0.621 data_time: 0.007 memory: 5150 grad_norm: 8.3264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/06/28 21:39:55 - mmengine - INFO - Epoch(train) [75][1200/3757] lr: 1.000e-03 eta: 7:07:59 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.8873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5745 loss: 1.5745 2022/06/28 21:40:00 - mmengine - INFO - Epoch(train) [75][1220/3757] lr: 1.000e-03 eta: 7:07:54 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.1107 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/06/28 21:40:06 - mmengine - INFO - Epoch(train) [75][1240/3757] lr: 1.000e-03 eta: 7:07:49 time: 1.097 data_time: 0.007 memory: 5150 grad_norm: 7.6573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1596 loss: 1.1596 2022/06/28 21:40:11 - mmengine - INFO - Epoch(train) [75][1260/3757] lr: 1.000e-03 eta: 7:07:43 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.8268 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2812 loss: 1.2812 2022/06/28 21:40:17 - mmengine - INFO - Epoch(train) [75][1280/3757] lr: 1.000e-03 eta: 7:07:38 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.2890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/06/28 21:40:22 - mmengine - INFO - Epoch(train) [75][1300/3757] lr: 1.000e-03 eta: 7:07:33 time: 0.690 data_time: 0.013 memory: 5150 grad_norm: 8.8212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0876 loss: 1.0876 2022/06/28 21:40:27 - mmengine - INFO - Epoch(train) [75][1320/3757] lr: 1.000e-03 eta: 7:07:27 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 6.6158 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0911 loss: 1.0911 2022/06/28 21:40:32 - mmengine - INFO - Epoch(train) [75][1340/3757] lr: 1.000e-03 eta: 7:07:21 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.9173 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4250 loss: 1.4250 2022/06/28 21:40:37 - mmengine - INFO - Epoch(train) [75][1360/3757] lr: 1.000e-03 eta: 7:07:16 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 9.8709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4169 loss: 1.4169 2022/06/28 21:40:43 - mmengine - INFO - Epoch(train) [75][1380/3757] lr: 1.000e-03 eta: 7:07:11 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.2385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2042 loss: 1.2042 2022/06/28 21:40:48 - mmengine - INFO - Epoch(train) [75][1400/3757] lr: 1.000e-03 eta: 7:07:06 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.9296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0496 loss: 1.0496 2022/06/28 21:40:53 - mmengine - INFO - Epoch(train) [75][1420/3757] lr: 1.000e-03 eta: 7:07:00 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.2576 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5512 loss: 1.5512 2022/06/28 21:40:59 - mmengine - INFO - Epoch(train) [75][1440/3757] lr: 1.000e-03 eta: 7:06:55 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.9547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1356 loss: 1.1356 2022/06/28 21:41:04 - mmengine - INFO - Epoch(train) [75][1460/3757] lr: 1.000e-03 eta: 7:06:50 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 6.9343 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2621 loss: 1.2621 2022/06/28 21:41:09 - mmengine - INFO - Epoch(train) [75][1480/3757] lr: 1.000e-03 eta: 7:06:44 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.6475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4903 loss: 1.4903 2022/06/28 21:41:15 - mmengine - INFO - Epoch(train) [75][1500/3757] lr: 1.000e-03 eta: 7:06:39 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.4514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/06/28 21:41:21 - mmengine - INFO - Epoch(train) [75][1520/3757] lr: 1.000e-03 eta: 7:06:34 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.7430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3603 loss: 1.3603 2022/06/28 21:41:26 - mmengine - INFO - Epoch(train) [75][1540/3757] lr: 1.000e-03 eta: 7:06:29 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 8.7054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/06/28 21:41:31 - mmengine - INFO - Epoch(train) [75][1560/3757] lr: 1.000e-03 eta: 7:06:23 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.0711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8605 loss: 0.8605 2022/06/28 21:41:37 - mmengine - INFO - Epoch(train) [75][1580/3757] lr: 1.000e-03 eta: 7:06:18 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.8476 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1705 loss: 1.1705 2022/06/28 21:41:42 - mmengine - INFO - Epoch(train) [75][1600/3757] lr: 1.000e-03 eta: 7:06:12 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 9.2327 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5167 loss: 1.5167 2022/06/28 21:41:47 - mmengine - INFO - Epoch(train) [75][1620/3757] lr: 1.000e-03 eta: 7:06:07 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 8.7138 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4808 loss: 1.4808 2022/06/28 21:41:53 - mmengine - INFO - Epoch(train) [75][1640/3757] lr: 1.000e-03 eta: 7:06:02 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.6614 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1853 loss: 1.1853 2022/06/28 21:41:58 - mmengine - INFO - Epoch(train) [75][1660/3757] lr: 1.000e-03 eta: 7:05:57 time: 0.192 data_time: 0.017 memory: 5150 grad_norm: 9.1594 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8296 loss: 1.8296 2022/06/28 21:42:04 - mmengine - INFO - Epoch(train) [75][1680/3757] lr: 1.000e-03 eta: 7:05:51 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 9.4054 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3341 loss: 1.3341 2022/06/28 21:42:09 - mmengine - INFO - Epoch(train) [75][1700/3757] lr: 1.000e-03 eta: 7:05:46 time: 0.250 data_time: 0.008 memory: 5150 grad_norm: 8.5818 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3736 loss: 1.3736 2022/06/28 21:42:14 - mmengine - INFO - Epoch(train) [75][1720/3757] lr: 1.000e-03 eta: 7:05:41 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.2283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/06/28 21:42:19 - mmengine - INFO - Epoch(train) [75][1740/3757] lr: 1.000e-03 eta: 7:05:35 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.5282 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5061 loss: 1.5061 2022/06/28 21:42:24 - mmengine - INFO - Epoch(train) [75][1760/3757] lr: 1.000e-03 eta: 7:05:30 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.3811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1786 loss: 1.1786 2022/06/28 21:42:30 - mmengine - INFO - Epoch(train) [75][1780/3757] lr: 1.000e-03 eta: 7:05:25 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 8.9833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5072 loss: 1.5072 2022/06/28 21:42:35 - mmengine - INFO - Epoch(train) [75][1800/3757] lr: 1.000e-03 eta: 7:05:19 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.0021 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3723 loss: 1.3723 2022/06/28 21:42:41 - mmengine - INFO - Epoch(train) [75][1820/3757] lr: 1.000e-03 eta: 7:05:14 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.8842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5960 loss: 1.5960 2022/06/28 21:42:45 - mmengine - INFO - Epoch(train) [75][1840/3757] lr: 1.000e-03 eta: 7:05:08 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 7.6481 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3850 loss: 1.3850 2022/06/28 21:42:51 - mmengine - INFO - Epoch(train) [75][1860/3757] lr: 1.000e-03 eta: 7:05:03 time: 0.245 data_time: 0.007 memory: 5150 grad_norm: 7.9487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3746 loss: 1.3746 2022/06/28 21:42:56 - mmengine - INFO - Epoch(train) [75][1880/3757] lr: 1.000e-03 eta: 7:04:58 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.2582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1316 loss: 1.1316 2022/06/28 21:43:01 - mmengine - INFO - Epoch(train) [75][1900/3757] lr: 1.000e-03 eta: 7:04:53 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.2459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2425 loss: 1.2425 2022/06/28 21:43:07 - mmengine - INFO - Epoch(train) [75][1920/3757] lr: 1.000e-03 eta: 7:04:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.8839 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4147 loss: 1.4147 2022/06/28 21:43:13 - mmengine - INFO - Epoch(train) [75][1940/3757] lr: 1.000e-03 eta: 7:04:42 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 9.3365 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3509 loss: 1.3509 2022/06/28 21:43:18 - mmengine - INFO - Epoch(train) [75][1960/3757] lr: 1.000e-03 eta: 7:04:37 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 8.8826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0811 loss: 1.0811 2022/06/28 21:43:23 - mmengine - INFO - Epoch(train) [75][1980/3757] lr: 1.000e-03 eta: 7:04:31 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1693 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0684 loss: 1.0684 2022/06/28 21:43:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:43:29 - mmengine - INFO - Epoch(train) [75][2000/3757] lr: 1.000e-03 eta: 7:04:26 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.7409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5853 loss: 1.5853 2022/06/28 21:43:34 - mmengine - INFO - Epoch(train) [75][2020/3757] lr: 1.000e-03 eta: 7:04:21 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.6027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5555 loss: 1.5555 2022/06/28 21:43:40 - mmengine - INFO - Epoch(train) [75][2040/3757] lr: 1.000e-03 eta: 7:04:16 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.1943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1072 loss: 1.1072 2022/06/28 21:43:45 - mmengine - INFO - Epoch(train) [75][2060/3757] lr: 1.000e-03 eta: 7:04:10 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.4635 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/06/28 21:43:50 - mmengine - INFO - Epoch(train) [75][2080/3757] lr: 1.000e-03 eta: 7:04:05 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.5865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2126 loss: 1.2126 2022/06/28 21:43:56 - mmengine - INFO - Epoch(train) [75][2100/3757] lr: 1.000e-03 eta: 7:04:00 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.9707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6452 loss: 1.6452 2022/06/28 21:44:01 - mmengine - INFO - Epoch(train) [75][2120/3757] lr: 1.000e-03 eta: 7:03:54 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2831 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5036 loss: 1.5036 2022/06/28 21:44:06 - mmengine - INFO - Epoch(train) [75][2140/3757] lr: 1.000e-03 eta: 7:03:49 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.6424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3898 loss: 1.3898 2022/06/28 21:44:12 - mmengine - INFO - Epoch(train) [75][2160/3757] lr: 1.000e-03 eta: 7:03:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.3530 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3815 loss: 1.3815 2022/06/28 21:44:17 - mmengine - INFO - Epoch(train) [75][2180/3757] lr: 1.000e-03 eta: 7:03:38 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5596 loss: 1.5596 2022/06/28 21:44:22 - mmengine - INFO - Epoch(train) [75][2200/3757] lr: 1.000e-03 eta: 7:03:33 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.8605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/06/28 21:44:28 - mmengine - INFO - Epoch(train) [75][2220/3757] lr: 1.000e-03 eta: 7:03:28 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.2137 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9807 loss: 1.9807 2022/06/28 21:44:33 - mmengine - INFO - Epoch(train) [75][2240/3757] lr: 1.000e-03 eta: 7:03:22 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.2214 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9764 loss: 0.9764 2022/06/28 21:44:39 - mmengine - INFO - Epoch(train) [75][2260/3757] lr: 1.000e-03 eta: 7:03:17 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 8.8212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2683 loss: 1.2683 2022/06/28 21:44:44 - mmengine - INFO - Epoch(train) [75][2280/3757] lr: 1.000e-03 eta: 7:03:12 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.8021 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6805 loss: 1.6805 2022/06/28 21:44:49 - mmengine - INFO - Epoch(train) [75][2300/3757] lr: 1.000e-03 eta: 7:03:06 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.5633 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/06/28 21:44:55 - mmengine - INFO - Epoch(train) [75][2320/3757] lr: 1.000e-03 eta: 7:03:01 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.6223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7993 loss: 1.7993 2022/06/28 21:45:00 - mmengine - INFO - Epoch(train) [75][2340/3757] lr: 1.000e-03 eta: 7:02:56 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.9448 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/06/28 21:45:06 - mmengine - INFO - Epoch(train) [75][2360/3757] lr: 1.000e-03 eta: 7:02:51 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.1674 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/06/28 21:45:12 - mmengine - INFO - Epoch(train) [75][2380/3757] lr: 1.000e-03 eta: 7:02:46 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 7.2094 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8774 loss: 0.8774 2022/06/28 21:45:16 - mmengine - INFO - Epoch(train) [75][2400/3757] lr: 1.000e-03 eta: 7:02:40 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.6005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4968 loss: 1.4968 2022/06/28 21:45:22 - mmengine - INFO - Epoch(train) [75][2420/3757] lr: 1.000e-03 eta: 7:02:35 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.3108 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2792 loss: 1.2792 2022/06/28 21:45:27 - mmengine - INFO - Epoch(train) [75][2440/3757] lr: 1.000e-03 eta: 7:02:29 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 8.2478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2713 loss: 1.2713 2022/06/28 21:45:32 - mmengine - INFO - Epoch(train) [75][2460/3757] lr: 1.000e-03 eta: 7:02:24 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 7.7838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2470 loss: 1.2470 2022/06/28 21:45:38 - mmengine - INFO - Epoch(train) [75][2480/3757] lr: 1.000e-03 eta: 7:02:19 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.4510 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2965 loss: 1.2965 2022/06/28 21:45:43 - mmengine - INFO - Epoch(train) [75][2500/3757] lr: 1.000e-03 eta: 7:02:13 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.0217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5631 loss: 1.5631 2022/06/28 21:45:48 - mmengine - INFO - Epoch(train) [75][2520/3757] lr: 1.000e-03 eta: 7:02:08 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 9.0475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0527 loss: 1.0527 2022/06/28 21:45:54 - mmengine - INFO - Epoch(train) [75][2540/3757] lr: 1.000e-03 eta: 7:02:03 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 8.8931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1836 loss: 1.1836 2022/06/28 21:45:59 - mmengine - INFO - Epoch(train) [75][2560/3757] lr: 1.000e-03 eta: 7:01:57 time: 0.225 data_time: 0.014 memory: 5150 grad_norm: 7.7556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1448 loss: 1.1448 2022/06/28 21:46:04 - mmengine - INFO - Epoch(train) [75][2580/3757] lr: 1.000e-03 eta: 7:01:52 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/06/28 21:46:10 - mmengine - INFO - Epoch(train) [75][2600/3757] lr: 1.000e-03 eta: 7:01:47 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 6.9220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/06/28 21:46:15 - mmengine - INFO - Epoch(train) [75][2620/3757] lr: 1.000e-03 eta: 7:01:41 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 9.4327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2546 loss: 1.2546 2022/06/28 21:46:20 - mmengine - INFO - Epoch(train) [75][2640/3757] lr: 1.000e-03 eta: 7:01:36 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.4951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/06/28 21:46:25 - mmengine - INFO - Epoch(train) [75][2660/3757] lr: 1.000e-03 eta: 7:01:31 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.6101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0719 loss: 1.0719 2022/06/28 21:46:31 - mmengine - INFO - Epoch(train) [75][2680/3757] lr: 1.000e-03 eta: 7:01:25 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 8.6710 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/06/28 21:46:36 - mmengine - INFO - Epoch(train) [75][2700/3757] lr: 1.000e-03 eta: 7:01:20 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 8.9271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/06/28 21:46:41 - mmengine - INFO - Epoch(train) [75][2720/3757] lr: 1.000e-03 eta: 7:01:15 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.5013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0906 loss: 1.0906 2022/06/28 21:46:47 - mmengine - INFO - Epoch(train) [75][2740/3757] lr: 1.000e-03 eta: 7:01:09 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5335 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3966 loss: 1.3966 2022/06/28 21:46:52 - mmengine - INFO - Epoch(train) [75][2760/3757] lr: 1.000e-03 eta: 7:01:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.0265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9975 loss: 0.9975 2022/06/28 21:46:57 - mmengine - INFO - Epoch(train) [75][2780/3757] lr: 1.000e-03 eta: 7:00:59 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.0146 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/06/28 21:47:03 - mmengine - INFO - Epoch(train) [75][2800/3757] lr: 1.000e-03 eta: 7:00:53 time: 0.202 data_time: 0.006 memory: 5150 grad_norm: 11.5646 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/06/28 21:47:08 - mmengine - INFO - Epoch(train) [75][2820/3757] lr: 1.000e-03 eta: 7:00:48 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2981 loss: 1.2981 2022/06/28 21:47:13 - mmengine - INFO - Epoch(train) [75][2840/3757] lr: 1.000e-03 eta: 7:00:43 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 8.1088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1348 loss: 1.1348 2022/06/28 21:47:19 - mmengine - INFO - Epoch(train) [75][2860/3757] lr: 1.000e-03 eta: 7:00:37 time: 0.235 data_time: 0.021 memory: 5150 grad_norm: 8.6402 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0645 loss: 1.0645 2022/06/28 21:47:24 - mmengine - INFO - Epoch(train) [75][2880/3757] lr: 1.000e-03 eta: 7:00:32 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.5085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2667 loss: 1.2667 2022/06/28 21:47:29 - mmengine - INFO - Epoch(train) [75][2900/3757] lr: 1.000e-03 eta: 7:00:27 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.8621 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0337 loss: 1.0337 2022/06/28 21:47:34 - mmengine - INFO - Epoch(train) [75][2920/3757] lr: 1.000e-03 eta: 7:00:21 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 9.2059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5330 loss: 1.5330 2022/06/28 21:47:39 - mmengine - INFO - Epoch(train) [75][2940/3757] lr: 1.000e-03 eta: 7:00:16 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/06/28 21:47:45 - mmengine - INFO - Epoch(train) [75][2960/3757] lr: 1.000e-03 eta: 7:00:11 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.3134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2240 loss: 1.2240 2022/06/28 21:47:50 - mmengine - INFO - Epoch(train) [75][2980/3757] lr: 1.000e-03 eta: 7:00:05 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 9.1720 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3263 loss: 1.3263 2022/06/28 21:47:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:47:55 - mmengine - INFO - Epoch(train) [75][3000/3757] lr: 1.000e-03 eta: 7:00:00 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.5472 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2621 loss: 1.2621 2022/06/28 21:48:01 - mmengine - INFO - Epoch(train) [75][3020/3757] lr: 1.000e-03 eta: 6:59:55 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.5221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0429 loss: 1.0429 2022/06/28 21:48:06 - mmengine - INFO - Epoch(train) [75][3040/3757] lr: 1.000e-03 eta: 6:59:49 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 9.7820 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2048 loss: 1.2048 2022/06/28 21:48:11 - mmengine - INFO - Epoch(train) [75][3060/3757] lr: 1.000e-03 eta: 6:59:44 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 9.6598 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5778 loss: 1.5778 2022/06/28 21:48:16 - mmengine - INFO - Epoch(train) [75][3080/3757] lr: 1.000e-03 eta: 6:59:38 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 7.5590 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1207 loss: 1.1207 2022/06/28 21:48:22 - mmengine - INFO - Epoch(train) [75][3100/3757] lr: 1.000e-03 eta: 6:59:33 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.5681 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6178 loss: 1.6178 2022/06/28 21:48:27 - mmengine - INFO - Epoch(train) [75][3120/3757] lr: 1.000e-03 eta: 6:59:28 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.4612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/06/28 21:48:32 - mmengine - INFO - Epoch(train) [75][3140/3757] lr: 1.000e-03 eta: 6:59:22 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 8.6025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3330 loss: 1.3330 2022/06/28 21:48:37 - mmengine - INFO - Epoch(train) [75][3160/3757] lr: 1.000e-03 eta: 6:59:17 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 8.8493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/28 21:48:42 - mmengine - INFO - Epoch(train) [75][3180/3757] lr: 1.000e-03 eta: 6:59:11 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 9.4132 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3647 loss: 1.3647 2022/06/28 21:48:48 - mmengine - INFO - Epoch(train) [75][3200/3757] lr: 1.000e-03 eta: 6:59:06 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.9540 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/06/28 21:48:53 - mmengine - INFO - Epoch(train) [75][3220/3757] lr: 1.000e-03 eta: 6:59:01 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.5127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/06/28 21:48:58 - mmengine - INFO - Epoch(train) [75][3240/3757] lr: 1.000e-03 eta: 6:58:55 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 8.9230 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/06/28 21:49:04 - mmengine - INFO - Epoch(train) [75][3260/3757] lr: 1.000e-03 eta: 6:58:50 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.8599 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/06/28 21:49:10 - mmengine - INFO - Epoch(train) [75][3280/3757] lr: 1.000e-03 eta: 6:58:45 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.0832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2710 loss: 1.2710 2022/06/28 21:49:15 - mmengine - INFO - Epoch(train) [75][3300/3757] lr: 1.000e-03 eta: 6:58:40 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 9.6183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/06/28 21:49:21 - mmengine - INFO - Epoch(train) [75][3320/3757] lr: 1.000e-03 eta: 6:58:35 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.5377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2150 loss: 1.2150 2022/06/28 21:49:26 - mmengine - INFO - Epoch(train) [75][3340/3757] lr: 1.000e-03 eta: 6:58:29 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.4560 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7850 loss: 1.7850 2022/06/28 21:49:31 - mmengine - INFO - Epoch(train) [75][3360/3757] lr: 1.000e-03 eta: 6:58:24 time: 0.252 data_time: 0.011 memory: 5150 grad_norm: 8.5860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3964 loss: 1.3964 2022/06/28 21:49:36 - mmengine - INFO - Epoch(train) [75][3380/3757] lr: 1.000e-03 eta: 6:58:18 time: 0.213 data_time: 0.022 memory: 5150 grad_norm: 6.3509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0168 loss: 1.0168 2022/06/28 21:49:42 - mmengine - INFO - Epoch(train) [75][3400/3757] lr: 1.000e-03 eta: 6:58:13 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 9.0056 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2591 loss: 1.2591 2022/06/28 21:49:47 - mmengine - INFO - Epoch(train) [75][3420/3757] lr: 1.000e-03 eta: 6:58:08 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.7823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/06/28 21:49:52 - mmengine - INFO - Epoch(train) [75][3440/3757] lr: 1.000e-03 eta: 6:58:02 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 7.5411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9344 loss: 0.9344 2022/06/28 21:49:57 - mmengine - INFO - Epoch(train) [75][3460/3757] lr: 1.000e-03 eta: 6:57:57 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.6063 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/06/28 21:50:02 - mmengine - INFO - Epoch(train) [75][3480/3757] lr: 1.000e-03 eta: 6:57:52 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.2138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1858 loss: 1.1858 2022/06/28 21:50:08 - mmengine - INFO - Epoch(train) [75][3500/3757] lr: 1.000e-03 eta: 6:57:46 time: 0.606 data_time: 0.023 memory: 5150 grad_norm: 7.0767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/06/28 21:50:13 - mmengine - INFO - Epoch(train) [75][3520/3757] lr: 1.000e-03 eta: 6:57:41 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.7638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5446 loss: 1.5446 2022/06/28 21:50:19 - mmengine - INFO - Epoch(train) [75][3540/3757] lr: 1.000e-03 eta: 6:57:36 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.1819 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/06/28 21:50:24 - mmengine - INFO - Epoch(train) [75][3560/3757] lr: 1.000e-03 eta: 6:57:31 time: 0.584 data_time: 0.027 memory: 5150 grad_norm: 9.8798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3247 loss: 1.3247 2022/06/28 21:50:29 - mmengine - INFO - Epoch(train) [75][3580/3757] lr: 1.000e-03 eta: 6:57:25 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 8.0856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3810 loss: 1.3810 2022/06/28 21:50:35 - mmengine - INFO - Epoch(train) [75][3600/3757] lr: 1.000e-03 eta: 6:57:20 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 10.1327 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5287 loss: 1.5287 2022/06/28 21:50:40 - mmengine - INFO - Epoch(train) [75][3620/3757] lr: 1.000e-03 eta: 6:57:15 time: 0.926 data_time: 0.024 memory: 5150 grad_norm: 10.3956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5427 loss: 1.5427 2022/06/28 21:50:45 - mmengine - INFO - Epoch(train) [75][3640/3757] lr: 1.000e-03 eta: 6:57:09 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.6516 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1081 loss: 1.1081 2022/06/28 21:50:51 - mmengine - INFO - Epoch(train) [75][3660/3757] lr: 1.000e-03 eta: 6:57:04 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 10.5433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0463 loss: 1.0463 2022/06/28 21:50:56 - mmengine - INFO - Epoch(train) [75][3680/3757] lr: 1.000e-03 eta: 6:56:58 time: 0.238 data_time: 0.007 memory: 5150 grad_norm: 10.3308 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3183 loss: 1.3183 2022/06/28 21:51:01 - mmengine - INFO - Epoch(train) [75][3700/3757] lr: 1.000e-03 eta: 6:56:53 time: 0.223 data_time: 0.009 memory: 5150 grad_norm: 8.3704 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2408 loss: 1.2408 2022/06/28 21:51:07 - mmengine - INFO - Epoch(train) [75][3720/3757] lr: 1.000e-03 eta: 6:56:48 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.2021 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1515 loss: 1.1515 2022/06/28 21:51:12 - mmengine - INFO - Epoch(train) [75][3740/3757] lr: 1.000e-03 eta: 6:56:43 time: 0.230 data_time: 0.008 memory: 5150 grad_norm: 8.4621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/06/28 21:51:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:51:15 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/06/28 21:51:50 - mmengine - INFO - Epoch(val) [75][20/310] eta: 0:05:46 time: 0.989 data_time: 0.346 memory: 9746 2022/06/28 21:52:12 - mmengine - INFO - Epoch(val) [75][40/310] eta: 0:04:39 time: 0.977 data_time: 0.328 memory: 9746 2022/06/28 21:52:36 - mmengine - INFO - Epoch(val) [75][60/310] eta: 0:04:24 time: 1.072 data_time: 0.429 memory: 9746 2022/06/28 21:52:59 - mmengine - INFO - Epoch(val) [75][80/310] eta: 0:04:49 time: 1.082 data_time: 0.418 memory: 9746 2022/06/28 21:53:22 - mmengine - INFO - Epoch(val) [75][100/310] eta: 0:03:51 time: 1.228 data_time: 0.558 memory: 9746 2022/06/28 21:53:43 - mmengine - INFO - Epoch(val) [75][120/310] eta: 0:03:23 time: 1.110 data_time: 0.475 memory: 9746 2022/06/28 21:54:07 - mmengine - INFO - Epoch(val) [75][140/310] eta: 0:03:25 time: 1.107 data_time: 0.465 memory: 9746 2022/06/28 21:54:32 - mmengine - INFO - Epoch(val) [75][160/310] eta: 0:03:16 time: 3.449 data_time: 2.748 memory: 9746 2022/06/28 21:54:55 - mmengine - INFO - Epoch(val) [75][180/310] eta: 0:02:55 time: 1.077 data_time: 0.415 memory: 9746 2022/06/28 21:55:17 - mmengine - INFO - Epoch(val) [75][200/310] eta: 0:02:05 time: 0.978 data_time: 0.326 memory: 9746 2022/06/28 21:55:39 - mmengine - INFO - Epoch(val) [75][220/310] eta: 0:01:39 time: 1.006 data_time: 0.376 memory: 9746 2022/06/28 21:56:01 - mmengine - INFO - Epoch(val) [75][240/310] eta: 0:01:19 time: 0.997 data_time: 0.367 memory: 9746 2022/06/28 21:56:23 - mmengine - INFO - Epoch(val) [75][260/310] eta: 0:00:58 time: 1.002 data_time: 0.336 memory: 9746 2022/06/28 21:56:47 - mmengine - INFO - Epoch(val) [75][280/310] eta: 0:00:34 time: 2.045 data_time: 1.393 memory: 9746 2022/06/28 21:57:06 - mmengine - INFO - Epoch(val) [75][300/310] eta: 0:00:08 time: 0.703 data_time: 0.121 memory: 9746 2022/06/28 21:57:19 - mmengine - INFO - Epoch(val) [75][310/310] acc/top1: 0.7078 acc/top5: 0.8973 acc/mean1: 0.7077 2022/06/28 21:57:27 - mmengine - INFO - Epoch(train) [76][20/3757] lr: 1.000e-03 eta: 6:56:33 time: 0.200 data_time: 0.011 memory: 9746 grad_norm: 8.5068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/28 21:57:33 - mmengine - INFO - Epoch(train) [76][40/3757] lr: 1.000e-03 eta: 6:56:28 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 7.4136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2454 loss: 1.2454 2022/06/28 21:57:38 - mmengine - INFO - Epoch(train) [76][60/3757] lr: 1.000e-03 eta: 6:56:22 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.1691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2339 loss: 1.2339 2022/06/28 21:57:44 - mmengine - INFO - Epoch(train) [76][80/3757] lr: 1.000e-03 eta: 6:56:17 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.4224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/06/28 21:57:49 - mmengine - INFO - Epoch(train) [76][100/3757] lr: 1.000e-03 eta: 6:56:12 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 7.1620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3153 loss: 1.3153 2022/06/28 21:57:54 - mmengine - INFO - Epoch(train) [76][120/3757] lr: 1.000e-03 eta: 6:56:06 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.2346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5752 loss: 1.5752 2022/06/28 21:57:59 - mmengine - INFO - Epoch(train) [76][140/3757] lr: 1.000e-03 eta: 6:56:01 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 9.4840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3608 loss: 1.3608 2022/06/28 21:58:05 - mmengine - INFO - Epoch(train) [76][160/3757] lr: 1.000e-03 eta: 6:55:56 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.1496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9788 loss: 0.9788 2022/06/28 21:58:10 - mmengine - INFO - Epoch(train) [76][180/3757] lr: 1.000e-03 eta: 6:55:50 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.9013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/06/28 21:58:15 - mmengine - INFO - Epoch(train) [76][200/3757] lr: 1.000e-03 eta: 6:55:45 time: 0.207 data_time: 0.028 memory: 5150 grad_norm: 7.3903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3961 loss: 1.3961 2022/06/28 21:58:21 - mmengine - INFO - Epoch(train) [76][220/3757] lr: 1.000e-03 eta: 6:55:40 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.9029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2697 loss: 1.2697 2022/06/28 21:58:22 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 21:58:26 - mmengine - INFO - Epoch(train) [76][240/3757] lr: 1.000e-03 eta: 6:55:34 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 7.5633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/06/28 21:58:31 - mmengine - INFO - Epoch(train) [76][260/3757] lr: 1.000e-03 eta: 6:55:29 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 7.1865 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/06/28 21:58:37 - mmengine - INFO - Epoch(train) [76][280/3757] lr: 1.000e-03 eta: 6:55:24 time: 0.193 data_time: 0.010 memory: 5150 grad_norm: 7.6081 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2021 loss: 1.2021 2022/06/28 21:58:42 - mmengine - INFO - Epoch(train) [76][300/3757] lr: 1.000e-03 eta: 6:55:18 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.1533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2924 loss: 1.2924 2022/06/28 21:58:47 - mmengine - INFO - Epoch(train) [76][320/3757] lr: 1.000e-03 eta: 6:55:13 time: 0.218 data_time: 0.017 memory: 5150 grad_norm: 9.4129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4113 loss: 1.4113 2022/06/28 21:58:52 - mmengine - INFO - Epoch(train) [76][340/3757] lr: 1.000e-03 eta: 6:55:08 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.0455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1638 loss: 1.1638 2022/06/28 21:58:57 - mmengine - INFO - Epoch(train) [76][360/3757] lr: 1.000e-03 eta: 6:55:02 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 7.4293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/06/28 21:59:03 - mmengine - INFO - Epoch(train) [76][380/3757] lr: 1.000e-03 eta: 6:54:57 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 8.3586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1002 loss: 1.1002 2022/06/28 21:59:08 - mmengine - INFO - Epoch(train) [76][400/3757] lr: 1.000e-03 eta: 6:54:52 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0070 loss: 1.0070 2022/06/28 21:59:13 - mmengine - INFO - Epoch(train) [76][420/3757] lr: 1.000e-03 eta: 6:54:46 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 7.6440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9907 loss: 0.9907 2022/06/28 21:59:18 - mmengine - INFO - Epoch(train) [76][440/3757] lr: 1.000e-03 eta: 6:54:41 time: 0.198 data_time: 0.026 memory: 5150 grad_norm: 9.2799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3999 loss: 1.3999 2022/06/28 21:59:24 - mmengine - INFO - Epoch(train) [76][460/3757] lr: 1.000e-03 eta: 6:54:36 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 9.2164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/06/28 21:59:29 - mmengine - INFO - Epoch(train) [76][480/3757] lr: 1.000e-03 eta: 6:54:30 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.0647 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/06/28 21:59:34 - mmengine - INFO - Epoch(train) [76][500/3757] lr: 1.000e-03 eta: 6:54:25 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 9.0330 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4100 loss: 1.4100 2022/06/28 21:59:39 - mmengine - INFO - Epoch(train) [76][520/3757] lr: 1.000e-03 eta: 6:54:19 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.2222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9437 loss: 0.9437 2022/06/28 21:59:44 - mmengine - INFO - Epoch(train) [76][540/3757] lr: 1.000e-03 eta: 6:54:14 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 9.6893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5067 loss: 1.5067 2022/06/28 21:59:50 - mmengine - INFO - Epoch(train) [76][560/3757] lr: 1.000e-03 eta: 6:54:09 time: 0.214 data_time: 0.027 memory: 5150 grad_norm: 9.1462 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0918 loss: 1.0918 2022/06/28 21:59:56 - mmengine - INFO - Epoch(train) [76][580/3757] lr: 1.000e-03 eta: 6:54:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.3763 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/06/28 22:00:00 - mmengine - INFO - Epoch(train) [76][600/3757] lr: 1.000e-03 eta: 6:53:58 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 8.4138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/06/28 22:00:06 - mmengine - INFO - Epoch(train) [76][620/3757] lr: 1.000e-03 eta: 6:53:53 time: 0.207 data_time: 0.037 memory: 5150 grad_norm: 7.9519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1806 loss: 1.1806 2022/06/28 22:00:12 - mmengine - INFO - Epoch(train) [76][640/3757] lr: 1.000e-03 eta: 6:53:48 time: 0.234 data_time: 0.011 memory: 5150 grad_norm: 8.8638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1972 loss: 1.1972 2022/06/28 22:00:16 - mmengine - INFO - Epoch(train) [76][660/3757] lr: 1.000e-03 eta: 6:53:42 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.3981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2047 loss: 1.2047 2022/06/28 22:00:22 - mmengine - INFO - Epoch(train) [76][680/3757] lr: 1.000e-03 eta: 6:53:37 time: 0.198 data_time: 0.019 memory: 5150 grad_norm: 10.4606 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6616 loss: 1.6616 2022/06/28 22:00:28 - mmengine - INFO - Epoch(train) [76][700/3757] lr: 1.000e-03 eta: 6:53:32 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 6.2488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0554 loss: 1.0554 2022/06/28 22:00:32 - mmengine - INFO - Epoch(train) [76][720/3757] lr: 1.000e-03 eta: 6:53:26 time: 0.245 data_time: 0.009 memory: 5150 grad_norm: 8.0900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3995 loss: 1.3995 2022/06/28 22:00:38 - mmengine - INFO - Epoch(train) [76][740/3757] lr: 1.000e-03 eta: 6:53:21 time: 0.204 data_time: 0.024 memory: 5150 grad_norm: 8.7026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3034 loss: 1.3034 2022/06/28 22:00:44 - mmengine - INFO - Epoch(train) [76][760/3757] lr: 1.000e-03 eta: 6:53:16 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 9.4062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4048 loss: 1.4048 2022/06/28 22:00:48 - mmengine - INFO - Epoch(train) [76][780/3757] lr: 1.000e-03 eta: 6:53:10 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.2461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/06/28 22:00:54 - mmengine - INFO - Epoch(train) [76][800/3757] lr: 1.000e-03 eta: 6:53:05 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 6.9561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3327 loss: 1.3327 2022/06/28 22:00:59 - mmengine - INFO - Epoch(train) [76][820/3757] lr: 1.000e-03 eta: 6:52:59 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 9.3764 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3560 loss: 1.3560 2022/06/28 22:01:04 - mmengine - INFO - Epoch(train) [76][840/3757] lr: 1.000e-03 eta: 6:52:54 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.9794 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/06/28 22:01:09 - mmengine - INFO - Epoch(train) [76][860/3757] lr: 1.000e-03 eta: 6:52:49 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.4057 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4045 loss: 1.4045 2022/06/28 22:01:15 - mmengine - INFO - Epoch(train) [76][880/3757] lr: 1.000e-03 eta: 6:52:43 time: 0.207 data_time: 0.030 memory: 5150 grad_norm: 7.5625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0774 loss: 1.0774 2022/06/28 22:01:19 - mmengine - INFO - Epoch(train) [76][900/3757] lr: 1.000e-03 eta: 6:52:38 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 9.3217 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9659 loss: 1.9659 2022/06/28 22:01:25 - mmengine - INFO - Epoch(train) [76][920/3757] lr: 1.000e-03 eta: 6:52:33 time: 0.237 data_time: 0.007 memory: 5150 grad_norm: 9.4504 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4797 loss: 1.4797 2022/06/28 22:01:30 - mmengine - INFO - Epoch(train) [76][940/3757] lr: 1.000e-03 eta: 6:52:27 time: 0.196 data_time: 0.020 memory: 5150 grad_norm: 8.0837 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0833 loss: 1.0833 2022/06/28 22:01:35 - mmengine - INFO - Epoch(train) [76][960/3757] lr: 1.000e-03 eta: 6:52:22 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.0278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4537 loss: 1.4537 2022/06/28 22:01:41 - mmengine - INFO - Epoch(train) [76][980/3757] lr: 1.000e-03 eta: 6:52:17 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 10.2596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/06/28 22:01:46 - mmengine - INFO - Epoch(train) [76][1000/3757] lr: 1.000e-03 eta: 6:52:11 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 7.9461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1178 loss: 1.1178 2022/06/28 22:01:51 - mmengine - INFO - Epoch(train) [76][1020/3757] lr: 1.000e-03 eta: 6:52:06 time: 0.206 data_time: 0.018 memory: 5150 grad_norm: 8.7496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/06/28 22:01:57 - mmengine - INFO - Epoch(train) [76][1040/3757] lr: 1.000e-03 eta: 6:52:01 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.0940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6133 loss: 1.6133 2022/06/28 22:02:02 - mmengine - INFO - Epoch(train) [76][1060/3757] lr: 1.000e-03 eta: 6:51:55 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 8.4211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/06/28 22:02:08 - mmengine - INFO - Epoch(train) [76][1080/3757] lr: 1.000e-03 eta: 6:51:50 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 8.6132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1896 loss: 1.1896 2022/06/28 22:02:13 - mmengine - INFO - Epoch(train) [76][1100/3757] lr: 1.000e-03 eta: 6:51:45 time: 0.216 data_time: 0.009 memory: 5150 grad_norm: 7.4864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4799 loss: 1.4799 2022/06/28 22:02:18 - mmengine - INFO - Epoch(train) [76][1120/3757] lr: 1.000e-03 eta: 6:51:39 time: 0.233 data_time: 0.062 memory: 5150 grad_norm: 7.9812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3339 loss: 1.3339 2022/06/28 22:02:23 - mmengine - INFO - Epoch(train) [76][1140/3757] lr: 1.000e-03 eta: 6:51:34 time: 0.215 data_time: 0.013 memory: 5150 grad_norm: 9.0583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4205 loss: 1.4205 2022/06/28 22:02:29 - mmengine - INFO - Epoch(train) [76][1160/3757] lr: 1.000e-03 eta: 6:51:29 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 8.6805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/06/28 22:02:34 - mmengine - INFO - Epoch(train) [76][1180/3757] lr: 1.000e-03 eta: 6:51:23 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 9.1142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0905 loss: 1.0905 2022/06/28 22:02:39 - mmengine - INFO - Epoch(train) [76][1200/3757] lr: 1.000e-03 eta: 6:51:18 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.1172 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2484 loss: 1.2484 2022/06/28 22:02:45 - mmengine - INFO - Epoch(train) [76][1220/3757] lr: 1.000e-03 eta: 6:51:13 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2698 loss: 1.2698 2022/06/28 22:02:46 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:02:50 - mmengine - INFO - Epoch(train) [76][1240/3757] lr: 1.000e-03 eta: 6:51:07 time: 0.237 data_time: 0.011 memory: 5150 grad_norm: 7.1117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/06/28 22:02:55 - mmengine - INFO - Epoch(train) [76][1260/3757] lr: 1.000e-03 eta: 6:51:02 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6423 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/06/28 22:03:00 - mmengine - INFO - Epoch(train) [76][1280/3757] lr: 1.000e-03 eta: 6:50:56 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 8.0986 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4473 loss: 1.4473 2022/06/28 22:03:06 - mmengine - INFO - Epoch(train) [76][1300/3757] lr: 1.000e-03 eta: 6:50:51 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 7.9473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3396 loss: 1.3396 2022/06/28 22:03:10 - mmengine - INFO - Epoch(train) [76][1320/3757] lr: 1.000e-03 eta: 6:50:46 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 7.8001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2425 loss: 1.2425 2022/06/28 22:03:16 - mmengine - INFO - Epoch(train) [76][1340/3757] lr: 1.000e-03 eta: 6:50:40 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 7.9891 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5191 loss: 1.5191 2022/06/28 22:03:21 - mmengine - INFO - Epoch(train) [76][1360/3757] lr: 1.000e-03 eta: 6:50:35 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 9.1256 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2095 loss: 1.2095 2022/06/28 22:03:26 - mmengine - INFO - Epoch(train) [76][1380/3757] lr: 1.000e-03 eta: 6:50:30 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 7.1646 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6284 loss: 1.6284 2022/06/28 22:03:31 - mmengine - INFO - Epoch(train) [76][1400/3757] lr: 1.000e-03 eta: 6:50:24 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 7.8632 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/06/28 22:03:37 - mmengine - INFO - Epoch(train) [76][1420/3757] lr: 1.000e-03 eta: 6:50:19 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.6409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/06/28 22:03:41 - mmengine - INFO - Epoch(train) [76][1440/3757] lr: 1.000e-03 eta: 6:50:13 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 8.3419 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8829 loss: 0.8829 2022/06/28 22:03:47 - mmengine - INFO - Epoch(train) [76][1460/3757] lr: 1.000e-03 eta: 6:50:08 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 9.2605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0748 loss: 1.0748 2022/06/28 22:03:53 - mmengine - INFO - Epoch(train) [76][1480/3757] lr: 1.000e-03 eta: 6:50:03 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.7079 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0858 loss: 1.0858 2022/06/28 22:03:58 - mmengine - INFO - Epoch(train) [76][1500/3757] lr: 1.000e-03 eta: 6:49:57 time: 0.211 data_time: 0.025 memory: 5150 grad_norm: 7.4825 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2577 loss: 1.2577 2022/06/28 22:04:03 - mmengine - INFO - Epoch(train) [76][1520/3757] lr: 1.000e-03 eta: 6:49:52 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.7023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4979 loss: 1.4979 2022/06/28 22:04:09 - mmengine - INFO - Epoch(train) [76][1540/3757] lr: 1.000e-03 eta: 6:49:47 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.9996 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3150 loss: 1.3150 2022/06/28 22:04:14 - mmengine - INFO - Epoch(train) [76][1560/3757] lr: 1.000e-03 eta: 6:49:41 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 9.8198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3929 loss: 1.3929 2022/06/28 22:04:19 - mmengine - INFO - Epoch(train) [76][1580/3757] lr: 1.000e-03 eta: 6:49:36 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 10.2317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6060 loss: 1.6060 2022/06/28 22:04:24 - mmengine - INFO - Epoch(train) [76][1600/3757] lr: 1.000e-03 eta: 6:49:31 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 9.4910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4652 loss: 1.4652 2022/06/28 22:04:29 - mmengine - INFO - Epoch(train) [76][1620/3757] lr: 1.000e-03 eta: 6:49:25 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.6885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3704 loss: 1.3704 2022/06/28 22:04:34 - mmengine - INFO - Epoch(train) [76][1640/3757] lr: 1.000e-03 eta: 6:49:20 time: 0.200 data_time: 0.017 memory: 5150 grad_norm: 8.9076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4233 loss: 1.4233 2022/06/28 22:04:39 - mmengine - INFO - Epoch(train) [76][1660/3757] lr: 1.000e-03 eta: 6:49:15 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.4702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/28 22:04:45 - mmengine - INFO - Epoch(train) [76][1680/3757] lr: 1.000e-03 eta: 6:49:09 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 8.4619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4012 loss: 1.4012 2022/06/28 22:04:51 - mmengine - INFO - Epoch(train) [76][1700/3757] lr: 1.000e-03 eta: 6:49:04 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 7.7717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1518 loss: 1.1518 2022/06/28 22:04:56 - mmengine - INFO - Epoch(train) [76][1720/3757] lr: 1.000e-03 eta: 6:48:59 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 8.1032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3950 loss: 1.3950 2022/06/28 22:05:01 - mmengine - INFO - Epoch(train) [76][1740/3757] lr: 1.000e-03 eta: 6:48:53 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.6963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2722 loss: 1.2722 2022/06/28 22:05:07 - mmengine - INFO - Epoch(train) [76][1760/3757] lr: 1.000e-03 eta: 6:48:48 time: 0.208 data_time: 0.028 memory: 5150 grad_norm: 7.9755 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2045 loss: 1.2045 2022/06/28 22:05:12 - mmengine - INFO - Epoch(train) [76][1780/3757] lr: 1.000e-03 eta: 6:48:43 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.7037 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3337 loss: 1.3337 2022/06/28 22:05:17 - mmengine - INFO - Epoch(train) [76][1800/3757] lr: 1.000e-03 eta: 6:48:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.1385 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2802 loss: 1.2802 2022/06/28 22:05:22 - mmengine - INFO - Epoch(train) [76][1820/3757] lr: 1.000e-03 eta: 6:48:32 time: 0.219 data_time: 0.018 memory: 5150 grad_norm: 8.2364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6487 loss: 1.6487 2022/06/28 22:05:27 - mmengine - INFO - Epoch(train) [76][1840/3757] lr: 1.000e-03 eta: 6:48:27 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 8.3073 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1829 loss: 1.1829 2022/06/28 22:05:33 - mmengine - INFO - Epoch(train) [76][1860/3757] lr: 1.000e-03 eta: 6:48:21 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1869 loss: 1.1869 2022/06/28 22:05:38 - mmengine - INFO - Epoch(train) [76][1880/3757] lr: 1.000e-03 eta: 6:48:16 time: 0.220 data_time: 0.038 memory: 5150 grad_norm: 10.0859 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2931 loss: 1.2931 2022/06/28 22:05:43 - mmengine - INFO - Epoch(train) [76][1900/3757] lr: 1.000e-03 eta: 6:48:11 time: 0.650 data_time: 0.008 memory: 5150 grad_norm: 6.8973 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/06/28 22:05:48 - mmengine - INFO - Epoch(train) [76][1920/3757] lr: 1.000e-03 eta: 6:48:05 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.4257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1144 loss: 1.1144 2022/06/28 22:05:54 - mmengine - INFO - Epoch(train) [76][1940/3757] lr: 1.000e-03 eta: 6:48:00 time: 0.223 data_time: 0.027 memory: 5150 grad_norm: 9.6601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/06/28 22:05:59 - mmengine - INFO - Epoch(train) [76][1960/3757] lr: 1.000e-03 eta: 6:47:55 time: 0.593 data_time: 0.008 memory: 5150 grad_norm: 8.0931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9729 loss: 0.9729 2022/06/28 22:06:04 - mmengine - INFO - Epoch(train) [76][1980/3757] lr: 1.000e-03 eta: 6:47:49 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.5244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2579 loss: 1.2579 2022/06/28 22:06:10 - mmengine - INFO - Epoch(train) [76][2000/3757] lr: 1.000e-03 eta: 6:47:44 time: 0.214 data_time: 0.024 memory: 5150 grad_norm: 9.9116 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6623 loss: 1.6623 2022/06/28 22:06:15 - mmengine - INFO - Epoch(train) [76][2020/3757] lr: 1.000e-03 eta: 6:47:39 time: 0.500 data_time: 0.007 memory: 5150 grad_norm: 8.4598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2037 loss: 1.2037 2022/06/28 22:06:20 - mmengine - INFO - Epoch(train) [76][2040/3757] lr: 1.000e-03 eta: 6:47:33 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.2072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4914 loss: 1.4914 2022/06/28 22:06:26 - mmengine - INFO - Epoch(train) [76][2060/3757] lr: 1.000e-03 eta: 6:47:28 time: 0.224 data_time: 0.025 memory: 5150 grad_norm: 8.9208 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2049 loss: 1.2049 2022/06/28 22:06:31 - mmengine - INFO - Epoch(train) [76][2080/3757] lr: 1.000e-03 eta: 6:47:23 time: 0.354 data_time: 0.009 memory: 5150 grad_norm: 9.0281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2470 loss: 1.2470 2022/06/28 22:06:36 - mmengine - INFO - Epoch(train) [76][2100/3757] lr: 1.000e-03 eta: 6:47:17 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.7568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3470 loss: 1.3470 2022/06/28 22:06:42 - mmengine - INFO - Epoch(train) [76][2120/3757] lr: 1.000e-03 eta: 6:47:12 time: 0.213 data_time: 0.027 memory: 5150 grad_norm: 7.4434 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6004 loss: 1.6004 2022/06/28 22:06:47 - mmengine - INFO - Epoch(train) [76][2140/3757] lr: 1.000e-03 eta: 6:47:07 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 9.9438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0931 loss: 1.0931 2022/06/28 22:06:53 - mmengine - INFO - Epoch(train) [76][2160/3757] lr: 1.000e-03 eta: 6:47:01 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.0893 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4319 loss: 1.4319 2022/06/28 22:06:58 - mmengine - INFO - Epoch(train) [76][2180/3757] lr: 1.000e-03 eta: 6:46:56 time: 0.210 data_time: 0.018 memory: 5150 grad_norm: 9.5390 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3266 loss: 1.3266 2022/06/28 22:07:03 - mmengine - INFO - Epoch(train) [76][2200/3757] lr: 1.000e-03 eta: 6:46:51 time: 0.650 data_time: 0.028 memory: 5150 grad_norm: 7.9309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1787 loss: 1.1787 2022/06/28 22:07:08 - mmengine - INFO - Epoch(train) [76][2220/3757] lr: 1.000e-03 eta: 6:46:45 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 8.3124 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4036 loss: 1.4036 2022/06/28 22:07:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:07:14 - mmengine - INFO - Epoch(train) [76][2240/3757] lr: 1.000e-03 eta: 6:46:40 time: 0.224 data_time: 0.015 memory: 5150 grad_norm: 8.7853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/06/28 22:07:19 - mmengine - INFO - Epoch(train) [76][2260/3757] lr: 1.000e-03 eta: 6:46:35 time: 0.388 data_time: 0.014 memory: 5150 grad_norm: 8.3938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2884 loss: 1.2884 2022/06/28 22:07:25 - mmengine - INFO - Epoch(train) [76][2280/3757] lr: 1.000e-03 eta: 6:46:30 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 8.2990 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4108 loss: 1.4108 2022/06/28 22:07:30 - mmengine - INFO - Epoch(train) [76][2300/3757] lr: 1.000e-03 eta: 6:46:24 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 8.4423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3610 loss: 1.3610 2022/06/28 22:07:35 - mmengine - INFO - Epoch(train) [76][2320/3757] lr: 1.000e-03 eta: 6:46:19 time: 0.648 data_time: 0.015 memory: 5150 grad_norm: 10.0224 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1615 loss: 1.1615 2022/06/28 22:07:40 - mmengine - INFO - Epoch(train) [76][2340/3757] lr: 1.000e-03 eta: 6:46:13 time: 0.552 data_time: 0.014 memory: 5150 grad_norm: 7.9677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3118 loss: 1.3118 2022/06/28 22:07:46 - mmengine - INFO - Epoch(train) [76][2360/3757] lr: 1.000e-03 eta: 6:46:08 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 8.5758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3828 loss: 1.3828 2022/06/28 22:07:52 - mmengine - INFO - Epoch(train) [76][2380/3757] lr: 1.000e-03 eta: 6:46:03 time: 0.696 data_time: 0.012 memory: 5150 grad_norm: 9.5353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3041 loss: 1.3041 2022/06/28 22:07:57 - mmengine - INFO - Epoch(train) [76][2400/3757] lr: 1.000e-03 eta: 6:45:57 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.8577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2015 loss: 1.2015 2022/06/28 22:08:02 - mmengine - INFO - Epoch(train) [76][2420/3757] lr: 1.000e-03 eta: 6:45:52 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 7.2181 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5121 loss: 1.5121 2022/06/28 22:08:08 - mmengine - INFO - Epoch(train) [76][2440/3757] lr: 1.000e-03 eta: 6:45:47 time: 0.617 data_time: 0.019 memory: 5150 grad_norm: 9.1536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/06/28 22:08:13 - mmengine - INFO - Epoch(train) [76][2460/3757] lr: 1.000e-03 eta: 6:45:42 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.5315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4913 loss: 1.4913 2022/06/28 22:08:19 - mmengine - INFO - Epoch(train) [76][2480/3757] lr: 1.000e-03 eta: 6:45:36 time: 0.215 data_time: 0.021 memory: 5150 grad_norm: 9.4911 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2362 loss: 1.2362 2022/06/28 22:08:24 - mmengine - INFO - Epoch(train) [76][2500/3757] lr: 1.000e-03 eta: 6:45:31 time: 0.733 data_time: 0.014 memory: 5150 grad_norm: 8.1284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3627 loss: 1.3627 2022/06/28 22:08:29 - mmengine - INFO - Epoch(train) [76][2520/3757] lr: 1.000e-03 eta: 6:45:26 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.6105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0839 loss: 1.0839 2022/06/28 22:08:35 - mmengine - INFO - Epoch(train) [76][2540/3757] lr: 1.000e-03 eta: 6:45:21 time: 0.220 data_time: 0.030 memory: 5150 grad_norm: 8.5860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5730 loss: 1.5730 2022/06/28 22:08:39 - mmengine - INFO - Epoch(train) [76][2560/3757] lr: 1.000e-03 eta: 6:45:15 time: 0.412 data_time: 0.008 memory: 5150 grad_norm: 10.3288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3087 loss: 1.3087 2022/06/28 22:08:45 - mmengine - INFO - Epoch(train) [76][2580/3757] lr: 1.000e-03 eta: 6:45:10 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.9685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4599 loss: 1.4599 2022/06/28 22:08:50 - mmengine - INFO - Epoch(train) [76][2600/3757] lr: 1.000e-03 eta: 6:45:04 time: 0.212 data_time: 0.023 memory: 5150 grad_norm: 9.3756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8855 loss: 1.8855 2022/06/28 22:08:56 - mmengine - INFO - Epoch(train) [76][2620/3757] lr: 1.000e-03 eta: 6:44:59 time: 0.726 data_time: 0.011 memory: 5150 grad_norm: 9.1246 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3818 loss: 1.3818 2022/06/28 22:09:01 - mmengine - INFO - Epoch(train) [76][2640/3757] lr: 1.000e-03 eta: 6:44:54 time: 0.530 data_time: 0.011 memory: 5150 grad_norm: 8.8873 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2654 loss: 1.2654 2022/06/28 22:09:06 - mmengine - INFO - Epoch(train) [76][2660/3757] lr: 1.000e-03 eta: 6:44:48 time: 0.227 data_time: 0.013 memory: 5150 grad_norm: 8.2316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2317 loss: 1.2317 2022/06/28 22:09:12 - mmengine - INFO - Epoch(train) [76][2680/3757] lr: 1.000e-03 eta: 6:44:43 time: 0.254 data_time: 0.007 memory: 5150 grad_norm: 8.4993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9705 loss: 0.9705 2022/06/28 22:09:17 - mmengine - INFO - Epoch(train) [76][2700/3757] lr: 1.000e-03 eta: 6:44:38 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.8623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/06/28 22:09:23 - mmengine - INFO - Epoch(train) [76][2720/3757] lr: 1.000e-03 eta: 6:44:32 time: 0.232 data_time: 0.017 memory: 5150 grad_norm: 7.9937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3141 loss: 1.3141 2022/06/28 22:09:28 - mmengine - INFO - Epoch(train) [76][2740/3757] lr: 1.000e-03 eta: 6:44:27 time: 0.925 data_time: 0.008 memory: 5150 grad_norm: 10.5656 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6169 loss: 1.6169 2022/06/28 22:09:33 - mmengine - INFO - Epoch(train) [76][2760/3757] lr: 1.000e-03 eta: 6:44:22 time: 0.245 data_time: 0.008 memory: 5150 grad_norm: 8.2249 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0935 loss: 1.0935 2022/06/28 22:09:39 - mmengine - INFO - Epoch(train) [76][2780/3757] lr: 1.000e-03 eta: 6:44:17 time: 0.232 data_time: 0.010 memory: 5150 grad_norm: 8.0533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3658 loss: 1.3658 2022/06/28 22:09:44 - mmengine - INFO - Epoch(train) [76][2800/3757] lr: 1.000e-03 eta: 6:44:11 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 7.2214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3512 loss: 1.3512 2022/06/28 22:09:49 - mmengine - INFO - Epoch(train) [76][2820/3757] lr: 1.000e-03 eta: 6:44:06 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 8.9073 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3983 loss: 1.3983 2022/06/28 22:09:55 - mmengine - INFO - Epoch(train) [76][2840/3757] lr: 1.000e-03 eta: 6:44:01 time: 0.825 data_time: 0.007 memory: 5150 grad_norm: 7.8218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4086 loss: 1.4086 2022/06/28 22:10:00 - mmengine - INFO - Epoch(train) [76][2860/3757] lr: 1.000e-03 eta: 6:43:55 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 8.4886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4640 loss: 1.4640 2022/06/28 22:10:05 - mmengine - INFO - Epoch(train) [76][2880/3757] lr: 1.000e-03 eta: 6:43:50 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 7.6580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1651 loss: 1.1651 2022/06/28 22:10:11 - mmengine - INFO - Epoch(train) [76][2900/3757] lr: 1.000e-03 eta: 6:43:45 time: 0.955 data_time: 0.007 memory: 5150 grad_norm: 8.1580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/06/28 22:10:16 - mmengine - INFO - Epoch(train) [76][2920/3757] lr: 1.000e-03 eta: 6:43:39 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 9.1824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2379 loss: 1.2379 2022/06/28 22:10:22 - mmengine - INFO - Epoch(train) [76][2940/3757] lr: 1.000e-03 eta: 6:43:34 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 8.5962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5196 loss: 1.5196 2022/06/28 22:10:27 - mmengine - INFO - Epoch(train) [76][2960/3757] lr: 1.000e-03 eta: 6:43:29 time: 0.915 data_time: 0.008 memory: 5150 grad_norm: 8.8848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/06/28 22:10:32 - mmengine - INFO - Epoch(train) [76][2980/3757] lr: 1.000e-03 eta: 6:43:23 time: 0.229 data_time: 0.015 memory: 5150 grad_norm: 9.3890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/06/28 22:10:37 - mmengine - INFO - Epoch(train) [76][3000/3757] lr: 1.000e-03 eta: 6:43:18 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 8.5952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5029 loss: 1.5029 2022/06/28 22:10:43 - mmengine - INFO - Epoch(train) [76][3020/3757] lr: 1.000e-03 eta: 6:43:13 time: 1.525 data_time: 0.014 memory: 5150 grad_norm: 7.6585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2073 loss: 1.2073 2022/06/28 22:10:48 - mmengine - INFO - Epoch(train) [76][3040/3757] lr: 1.000e-03 eta: 6:43:07 time: 0.229 data_time: 0.011 memory: 5150 grad_norm: 8.3572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4979 loss: 1.4979 2022/06/28 22:10:53 - mmengine - INFO - Epoch(train) [76][3060/3757] lr: 1.000e-03 eta: 6:43:02 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.2859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/06/28 22:10:59 - mmengine - INFO - Epoch(train) [76][3080/3757] lr: 1.000e-03 eta: 6:42:57 time: 0.742 data_time: 0.011 memory: 5150 grad_norm: 9.6005 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4398 loss: 1.4398 2022/06/28 22:11:03 - mmengine - INFO - Epoch(train) [76][3100/3757] lr: 1.000e-03 eta: 6:42:51 time: 0.222 data_time: 0.025 memory: 5150 grad_norm: 9.4647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5014 loss: 1.5014 2022/06/28 22:11:09 - mmengine - INFO - Epoch(train) [76][3120/3757] lr: 1.000e-03 eta: 6:42:46 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.7556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2468 loss: 1.2468 2022/06/28 22:11:14 - mmengine - INFO - Epoch(train) [76][3140/3757] lr: 1.000e-03 eta: 6:42:41 time: 0.809 data_time: 0.008 memory: 5150 grad_norm: 9.5907 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/06/28 22:11:19 - mmengine - INFO - Epoch(train) [76][3160/3757] lr: 1.000e-03 eta: 6:42:35 time: 0.207 data_time: 0.024 memory: 5150 grad_norm: 10.5030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2509 loss: 1.2509 2022/06/28 22:11:25 - mmengine - INFO - Epoch(train) [76][3180/3757] lr: 1.000e-03 eta: 6:42:30 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.5630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/06/28 22:11:30 - mmengine - INFO - Epoch(train) [76][3200/3757] lr: 1.000e-03 eta: 6:42:24 time: 0.624 data_time: 0.008 memory: 5150 grad_norm: 8.2735 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1953 loss: 1.1953 2022/06/28 22:11:35 - mmengine - INFO - Epoch(train) [76][3220/3757] lr: 1.000e-03 eta: 6:42:19 time: 0.214 data_time: 0.017 memory: 5150 grad_norm: 7.5580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1680 loss: 1.1680 2022/06/28 22:11:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:11:40 - mmengine - INFO - Epoch(train) [76][3240/3757] lr: 1.000e-03 eta: 6:42:14 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 10.6891 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4168 loss: 1.4168 2022/06/28 22:11:45 - mmengine - INFO - Epoch(train) [76][3260/3757] lr: 1.000e-03 eta: 6:42:08 time: 0.514 data_time: 0.012 memory: 5150 grad_norm: 7.7294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3675 loss: 1.3675 2022/06/28 22:11:51 - mmengine - INFO - Epoch(train) [76][3280/3757] lr: 1.000e-03 eta: 6:42:03 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 10.0871 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/06/28 22:11:56 - mmengine - INFO - Epoch(train) [76][3300/3757] lr: 1.000e-03 eta: 6:41:58 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 9.5749 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/06/28 22:12:01 - mmengine - INFO - Epoch(train) [76][3320/3757] lr: 1.000e-03 eta: 6:41:52 time: 0.784 data_time: 0.008 memory: 5150 grad_norm: 8.6104 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4287 loss: 1.4287 2022/06/28 22:12:06 - mmengine - INFO - Epoch(train) [76][3340/3757] lr: 1.000e-03 eta: 6:41:47 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.5796 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3175 loss: 1.3175 2022/06/28 22:12:12 - mmengine - INFO - Epoch(train) [76][3360/3757] lr: 1.000e-03 eta: 6:41:42 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.1061 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3581 loss: 1.3581 2022/06/28 22:12:17 - mmengine - INFO - Epoch(train) [76][3380/3757] lr: 1.000e-03 eta: 6:41:36 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.0011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0874 loss: 1.0874 2022/06/28 22:12:22 - mmengine - INFO - Epoch(train) [76][3400/3757] lr: 1.000e-03 eta: 6:41:31 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.8225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/06/28 22:12:28 - mmengine - INFO - Epoch(train) [76][3420/3757] lr: 1.000e-03 eta: 6:41:26 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.2295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3014 loss: 1.3014 2022/06/28 22:12:33 - mmengine - INFO - Epoch(train) [76][3440/3757] lr: 1.000e-03 eta: 6:41:20 time: 0.213 data_time: 0.017 memory: 5150 grad_norm: 7.9299 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1672 loss: 1.1672 2022/06/28 22:12:38 - mmengine - INFO - Epoch(train) [76][3460/3757] lr: 1.000e-03 eta: 6:41:15 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 7.0025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2955 loss: 1.2955 2022/06/28 22:12:44 - mmengine - INFO - Epoch(train) [76][3480/3757] lr: 1.000e-03 eta: 6:41:10 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.8892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1746 loss: 1.1746 2022/06/28 22:12:49 - mmengine - INFO - Epoch(train) [76][3500/3757] lr: 1.000e-03 eta: 6:41:04 time: 0.216 data_time: 0.019 memory: 5150 grad_norm: 8.5225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1705 loss: 1.1705 2022/06/28 22:12:54 - mmengine - INFO - Epoch(train) [76][3520/3757] lr: 1.000e-03 eta: 6:40:59 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.6410 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4113 loss: 1.4113 2022/06/28 22:12:59 - mmengine - INFO - Epoch(train) [76][3540/3757] lr: 1.000e-03 eta: 6:40:54 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.8846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1876 loss: 1.1876 2022/06/28 22:13:04 - mmengine - INFO - Epoch(train) [76][3560/3757] lr: 1.000e-03 eta: 6:40:48 time: 0.293 data_time: 0.016 memory: 5150 grad_norm: 8.4683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/06/28 22:13:09 - mmengine - INFO - Epoch(train) [76][3580/3757] lr: 1.000e-03 eta: 6:40:43 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 7.8920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5491 loss: 1.5491 2022/06/28 22:13:15 - mmengine - INFO - Epoch(train) [76][3600/3757] lr: 1.000e-03 eta: 6:40:37 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.4746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1567 loss: 1.1567 2022/06/28 22:13:20 - mmengine - INFO - Epoch(train) [76][3620/3757] lr: 1.000e-03 eta: 6:40:32 time: 0.209 data_time: 0.029 memory: 5150 grad_norm: 10.2675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9385 loss: 0.9385 2022/06/28 22:13:25 - mmengine - INFO - Epoch(train) [76][3640/3757] lr: 1.000e-03 eta: 6:40:27 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 8.6422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4007 loss: 1.4007 2022/06/28 22:13:31 - mmengine - INFO - Epoch(train) [76][3660/3757] lr: 1.000e-03 eta: 6:40:21 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 8.1648 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4705 loss: 1.4705 2022/06/28 22:13:36 - mmengine - INFO - Epoch(train) [76][3680/3757] lr: 1.000e-03 eta: 6:40:16 time: 0.259 data_time: 0.020 memory: 5150 grad_norm: 8.1507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/28 22:13:41 - mmengine - INFO - Epoch(train) [76][3700/3757] lr: 1.000e-03 eta: 6:40:11 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.8371 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5355 loss: 1.5355 2022/06/28 22:13:46 - mmengine - INFO - Epoch(train) [76][3720/3757] lr: 1.000e-03 eta: 6:40:05 time: 0.207 data_time: 0.021 memory: 5150 grad_norm: 8.8614 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3442 loss: 1.3442 2022/06/28 22:13:52 - mmengine - INFO - Epoch(train) [76][3740/3757] lr: 1.000e-03 eta: 6:40:00 time: 0.206 data_time: 0.018 memory: 5150 grad_norm: 9.6965 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.4284 loss: 1.4284 2022/06/28 22:13:55 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:14:29 - mmengine - INFO - Epoch(val) [76][20/310] eta: 0:05:43 time: 0.943 data_time: 0.291 memory: 9746 2022/06/28 22:14:51 - mmengine - INFO - Epoch(val) [76][40/310] eta: 0:04:49 time: 1.029 data_time: 0.350 memory: 9746 2022/06/28 22:15:14 - mmengine - INFO - Epoch(val) [76][60/310] eta: 0:04:23 time: 1.145 data_time: 0.524 memory: 9746 2022/06/28 22:15:38 - mmengine - INFO - Epoch(val) [76][80/310] eta: 0:04:58 time: 1.106 data_time: 0.438 memory: 9746 2022/06/28 22:16:02 - mmengine - INFO - Epoch(val) [76][100/310] eta: 0:04:13 time: 2.692 data_time: 2.013 memory: 9746 2022/06/28 22:16:23 - mmengine - INFO - Epoch(val) [76][120/310] eta: 0:03:25 time: 1.129 data_time: 0.482 memory: 9746 2022/06/28 22:16:47 - mmengine - INFO - Epoch(val) [76][140/310] eta: 0:03:15 time: 1.093 data_time: 0.429 memory: 9746 2022/06/28 22:17:12 - mmengine - INFO - Epoch(val) [76][160/310] eta: 0:03:15 time: 3.269 data_time: 2.584 memory: 9746 2022/06/28 22:17:35 - mmengine - INFO - Epoch(val) [76][180/310] eta: 0:02:38 time: 1.097 data_time: 0.444 memory: 9746 2022/06/28 22:17:58 - mmengine - INFO - Epoch(val) [76][200/310] eta: 0:02:13 time: 1.085 data_time: 0.448 memory: 9746 2022/06/28 22:18:19 - mmengine - INFO - Epoch(val) [76][220/310] eta: 0:01:36 time: 1.373 data_time: 0.709 memory: 9746 2022/06/28 22:18:41 - mmengine - INFO - Epoch(val) [76][240/310] eta: 0:01:13 time: 0.981 data_time: 0.352 memory: 9746 2022/06/28 22:19:04 - mmengine - INFO - Epoch(val) [76][260/310] eta: 0:01:01 time: 1.370 data_time: 0.416 memory: 9746 2022/06/28 22:19:27 - mmengine - INFO - Epoch(val) [76][280/310] eta: 0:00:32 time: 1.528 data_time: 0.902 memory: 9746 2022/06/28 22:19:46 - mmengine - INFO - Epoch(val) [76][300/310] eta: 0:00:08 time: 0.649 data_time: 0.076 memory: 9746 2022/06/28 22:19:58 - mmengine - INFO - Epoch(val) [76][310/310] acc/top1: 0.7098 acc/top5: 0.8998 acc/mean1: 0.7098 2022/06/28 22:20:07 - mmengine - INFO - Epoch(train) [77][20/3757] lr: 1.000e-03 eta: 6:39:50 time: 0.201 data_time: 0.011 memory: 9746 grad_norm: 10.7490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0051 loss: 1.0051 2022/06/28 22:20:13 - mmengine - INFO - Epoch(train) [77][40/3757] lr: 1.000e-03 eta: 6:39:45 time: 0.213 data_time: 0.022 memory: 5150 grad_norm: 6.9796 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0942 loss: 1.0942 2022/06/28 22:20:18 - mmengine - INFO - Epoch(train) [77][60/3757] lr: 1.000e-03 eta: 6:39:40 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.7628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/06/28 22:20:24 - mmengine - INFO - Epoch(train) [77][80/3757] lr: 1.000e-03 eta: 6:39:35 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.4391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/06/28 22:20:29 - mmengine - INFO - Epoch(train) [77][100/3757] lr: 1.000e-03 eta: 6:39:29 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.0165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0032 loss: 1.0032 2022/06/28 22:20:34 - mmengine - INFO - Epoch(train) [77][120/3757] lr: 1.000e-03 eta: 6:39:24 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.5049 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6658 loss: 1.6658 2022/06/28 22:20:40 - mmengine - INFO - Epoch(train) [77][140/3757] lr: 1.000e-03 eta: 6:39:19 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.8124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4176 loss: 1.4176 2022/06/28 22:20:45 - mmengine - INFO - Epoch(train) [77][160/3757] lr: 1.000e-03 eta: 6:39:13 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.3613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7468 loss: 0.7468 2022/06/28 22:20:50 - mmengine - INFO - Epoch(train) [77][180/3757] lr: 1.000e-03 eta: 6:39:08 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 6.8994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2287 loss: 1.2287 2022/06/28 22:20:56 - mmengine - INFO - Epoch(train) [77][200/3757] lr: 1.000e-03 eta: 6:39:03 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 8.1868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1984 loss: 1.1984 2022/06/28 22:21:02 - mmengine - INFO - Epoch(train) [77][220/3757] lr: 1.000e-03 eta: 6:38:58 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.7651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6426 loss: 1.6426 2022/06/28 22:21:07 - mmengine - INFO - Epoch(train) [77][240/3757] lr: 1.000e-03 eta: 6:38:52 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 10.1472 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4148 loss: 1.4148 2022/06/28 22:21:12 - mmengine - INFO - Epoch(train) [77][260/3757] lr: 1.000e-03 eta: 6:38:47 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 8.4326 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4531 loss: 1.4531 2022/06/28 22:21:18 - mmengine - INFO - Epoch(train) [77][280/3757] lr: 1.000e-03 eta: 6:38:42 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.7221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3057 loss: 1.3057 2022/06/28 22:21:23 - mmengine - INFO - Epoch(train) [77][300/3757] lr: 1.000e-03 eta: 6:38:36 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3597 loss: 1.3597 2022/06/28 22:21:29 - mmengine - INFO - Epoch(train) [77][320/3757] lr: 1.000e-03 eta: 6:38:31 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.7936 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4247 loss: 1.4247 2022/06/28 22:21:34 - mmengine - INFO - Epoch(train) [77][340/3757] lr: 1.000e-03 eta: 6:38:26 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0361 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9188 loss: 0.9188 2022/06/28 22:21:39 - mmengine - INFO - Epoch(train) [77][360/3757] lr: 1.000e-03 eta: 6:38:20 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 6.9207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/06/28 22:21:44 - mmengine - INFO - Epoch(train) [77][380/3757] lr: 1.000e-03 eta: 6:38:15 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.2702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/06/28 22:21:50 - mmengine - INFO - Epoch(train) [77][400/3757] lr: 1.000e-03 eta: 6:38:10 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.8084 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5350 loss: 1.5350 2022/06/28 22:21:56 - mmengine - INFO - Epoch(train) [77][420/3757] lr: 1.000e-03 eta: 6:38:04 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.4522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1349 loss: 1.1349 2022/06/28 22:22:00 - mmengine - INFO - Epoch(train) [77][440/3757] lr: 1.000e-03 eta: 6:37:59 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.4876 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2334 loss: 1.2334 2022/06/28 22:22:05 - mmengine - INFO - Epoch(train) [77][460/3757] lr: 1.000e-03 eta: 6:37:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.8182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/06/28 22:22:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:22:11 - mmengine - INFO - Epoch(train) [77][480/3757] lr: 1.000e-03 eta: 6:37:48 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.3081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0284 loss: 1.0284 2022/06/28 22:22:16 - mmengine - INFO - Epoch(train) [77][500/3757] lr: 1.000e-03 eta: 6:37:43 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.6413 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2909 loss: 1.2909 2022/06/28 22:22:22 - mmengine - INFO - Epoch(train) [77][520/3757] lr: 1.000e-03 eta: 6:37:38 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.8308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2252 loss: 1.2252 2022/06/28 22:22:27 - mmengine - INFO - Epoch(train) [77][540/3757] lr: 1.000e-03 eta: 6:37:32 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.7264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2638 loss: 1.2638 2022/06/28 22:22:33 - mmengine - INFO - Epoch(train) [77][560/3757] lr: 1.000e-03 eta: 6:37:27 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.3894 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/06/28 22:22:37 - mmengine - INFO - Epoch(train) [77][580/3757] lr: 1.000e-03 eta: 6:37:22 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.2995 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0875 loss: 1.0875 2022/06/28 22:22:43 - mmengine - INFO - Epoch(train) [77][600/3757] lr: 1.000e-03 eta: 6:37:16 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 7.4221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0653 loss: 1.0653 2022/06/28 22:22:48 - mmengine - INFO - Epoch(train) [77][620/3757] lr: 1.000e-03 eta: 6:37:11 time: 0.216 data_time: 0.022 memory: 5150 grad_norm: 8.2336 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/06/28 22:22:53 - mmengine - INFO - Epoch(train) [77][640/3757] lr: 1.000e-03 eta: 6:37:06 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.6813 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1488 loss: 1.1488 2022/06/28 22:22:58 - mmengine - INFO - Epoch(train) [77][660/3757] lr: 1.000e-03 eta: 6:37:00 time: 0.215 data_time: 0.016 memory: 5150 grad_norm: 7.6580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5396 loss: 1.5396 2022/06/28 22:23:04 - mmengine - INFO - Epoch(train) [77][680/3757] lr: 1.000e-03 eta: 6:36:55 time: 0.222 data_time: 0.030 memory: 5150 grad_norm: 9.0019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/06/28 22:23:10 - mmengine - INFO - Epoch(train) [77][700/3757] lr: 1.000e-03 eta: 6:36:50 time: 0.679 data_time: 0.011 memory: 5150 grad_norm: 8.8657 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0662 loss: 1.0662 2022/06/28 22:23:15 - mmengine - INFO - Epoch(train) [77][720/3757] lr: 1.000e-03 eta: 6:36:44 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.6092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2238 loss: 1.2238 2022/06/28 22:23:21 - mmengine - INFO - Epoch(train) [77][740/3757] lr: 1.000e-03 eta: 6:36:39 time: 0.225 data_time: 0.023 memory: 5150 grad_norm: 8.2549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3936 loss: 1.3936 2022/06/28 22:23:26 - mmengine - INFO - Epoch(train) [77][760/3757] lr: 1.000e-03 eta: 6:36:34 time: 1.129 data_time: 0.007 memory: 5150 grad_norm: 8.3671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/06/28 22:23:31 - mmengine - INFO - Epoch(train) [77][780/3757] lr: 1.000e-03 eta: 6:36:28 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.9243 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1642 loss: 1.1642 2022/06/28 22:23:36 - mmengine - INFO - Epoch(train) [77][800/3757] lr: 1.000e-03 eta: 6:36:23 time: 0.211 data_time: 0.026 memory: 5150 grad_norm: 8.8634 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1960 loss: 1.1960 2022/06/28 22:23:42 - mmengine - INFO - Epoch(train) [77][820/3757] lr: 1.000e-03 eta: 6:36:18 time: 1.258 data_time: 0.008 memory: 5150 grad_norm: 8.4290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2210 loss: 1.2210 2022/06/28 22:23:47 - mmengine - INFO - Epoch(train) [77][840/3757] lr: 1.000e-03 eta: 6:36:12 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.9237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2853 loss: 1.2853 2022/06/28 22:23:52 - mmengine - INFO - Epoch(train) [77][860/3757] lr: 1.000e-03 eta: 6:36:07 time: 0.212 data_time: 0.022 memory: 5150 grad_norm: 8.8799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2016 loss: 1.2016 2022/06/28 22:23:58 - mmengine - INFO - Epoch(train) [77][880/3757] lr: 1.000e-03 eta: 6:36:02 time: 0.787 data_time: 0.007 memory: 5150 grad_norm: 8.5974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1438 loss: 1.1438 2022/06/28 22:24:03 - mmengine - INFO - Epoch(train) [77][900/3757] lr: 1.000e-03 eta: 6:35:56 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.4756 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3676 loss: 1.3676 2022/06/28 22:24:08 - mmengine - INFO - Epoch(train) [77][920/3757] lr: 1.000e-03 eta: 6:35:51 time: 0.207 data_time: 0.026 memory: 5150 grad_norm: 8.4210 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7728 loss: 1.7728 2022/06/28 22:24:14 - mmengine - INFO - Epoch(train) [77][940/3757] lr: 1.000e-03 eta: 6:35:46 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.6388 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2704 loss: 1.2704 2022/06/28 22:24:19 - mmengine - INFO - Epoch(train) [77][960/3757] lr: 1.000e-03 eta: 6:35:40 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.6303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3948 loss: 1.3948 2022/06/28 22:24:24 - mmengine - INFO - Epoch(train) [77][980/3757] lr: 1.000e-03 eta: 6:35:35 time: 0.207 data_time: 0.031 memory: 5150 grad_norm: 9.3665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9196 loss: 0.9196 2022/06/28 22:24:30 - mmengine - INFO - Epoch(train) [77][1000/3757] lr: 1.000e-03 eta: 6:35:30 time: 0.764 data_time: 0.007 memory: 5150 grad_norm: 8.9905 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/06/28 22:24:35 - mmengine - INFO - Epoch(train) [77][1020/3757] lr: 1.000e-03 eta: 6:35:24 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 9.4328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3633 loss: 1.3633 2022/06/28 22:24:41 - mmengine - INFO - Epoch(train) [77][1040/3757] lr: 1.000e-03 eta: 6:35:19 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 8.4640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/06/28 22:24:46 - mmengine - INFO - Epoch(train) [77][1060/3757] lr: 1.000e-03 eta: 6:35:14 time: 0.658 data_time: 0.007 memory: 5150 grad_norm: 9.1855 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3532 loss: 1.3532 2022/06/28 22:24:51 - mmengine - INFO - Epoch(train) [77][1080/3757] lr: 1.000e-03 eta: 6:35:09 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.9338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1117 loss: 1.1117 2022/06/28 22:24:57 - mmengine - INFO - Epoch(train) [77][1100/3757] lr: 1.000e-03 eta: 6:35:03 time: 0.221 data_time: 0.021 memory: 5150 grad_norm: 7.4301 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1070 loss: 1.1070 2022/06/28 22:25:02 - mmengine - INFO - Epoch(train) [77][1120/3757] lr: 1.000e-03 eta: 6:34:58 time: 0.830 data_time: 0.007 memory: 5150 grad_norm: 8.2026 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 1.7678 loss: 1.7678 2022/06/28 22:25:07 - mmengine - INFO - Epoch(train) [77][1140/3757] lr: 1.000e-03 eta: 6:34:52 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.5094 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0969 loss: 1.0969 2022/06/28 22:25:12 - mmengine - INFO - Epoch(train) [77][1160/3757] lr: 1.000e-03 eta: 6:34:47 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.4045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/06/28 22:25:18 - mmengine - INFO - Epoch(train) [77][1180/3757] lr: 1.000e-03 eta: 6:34:42 time: 0.717 data_time: 0.008 memory: 5150 grad_norm: 7.8594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8843 loss: 0.8843 2022/06/28 22:25:23 - mmengine - INFO - Epoch(train) [77][1200/3757] lr: 1.000e-03 eta: 6:34:37 time: 0.214 data_time: 0.016 memory: 5150 grad_norm: 9.1235 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/06/28 22:25:29 - mmengine - INFO - Epoch(train) [77][1220/3757] lr: 1.000e-03 eta: 6:34:31 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.8266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2168 loss: 1.2168 2022/06/28 22:25:34 - mmengine - INFO - Epoch(train) [77][1240/3757] lr: 1.000e-03 eta: 6:34:26 time: 0.573 data_time: 0.007 memory: 5150 grad_norm: 8.8747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/06/28 22:25:39 - mmengine - INFO - Epoch(train) [77][1260/3757] lr: 1.000e-03 eta: 6:34:21 time: 0.204 data_time: 0.006 memory: 5150 grad_norm: 8.8546 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0378 loss: 1.0378 2022/06/28 22:25:45 - mmengine - INFO - Epoch(train) [77][1280/3757] lr: 1.000e-03 eta: 6:34:15 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 10.8349 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5667 loss: 1.5667 2022/06/28 22:25:50 - mmengine - INFO - Epoch(train) [77][1300/3757] lr: 1.000e-03 eta: 6:34:10 time: 0.890 data_time: 0.008 memory: 5150 grad_norm: 10.3281 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2708 loss: 1.2708 2022/06/28 22:25:56 - mmengine - INFO - Epoch(train) [77][1320/3757] lr: 1.000e-03 eta: 6:34:05 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 8.5819 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5154 loss: 1.5154 2022/06/28 22:26:00 - mmengine - INFO - Epoch(train) [77][1340/3757] lr: 1.000e-03 eta: 6:33:59 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 8.3429 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3070 loss: 1.3070 2022/06/28 22:26:06 - mmengine - INFO - Epoch(train) [77][1360/3757] lr: 1.000e-03 eta: 6:33:54 time: 0.554 data_time: 0.007 memory: 5150 grad_norm: 7.3494 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2715 loss: 1.2715 2022/06/28 22:26:11 - mmengine - INFO - Epoch(train) [77][1380/3757] lr: 1.000e-03 eta: 6:33:49 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.5619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0432 loss: 1.0432 2022/06/28 22:26:17 - mmengine - INFO - Epoch(train) [77][1400/3757] lr: 1.000e-03 eta: 6:33:43 time: 0.196 data_time: 0.014 memory: 5150 grad_norm: 9.1348 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2365 loss: 1.2365 2022/06/28 22:26:22 - mmengine - INFO - Epoch(train) [77][1420/3757] lr: 1.000e-03 eta: 6:33:38 time: 1.064 data_time: 0.007 memory: 5150 grad_norm: 8.7381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1052 loss: 1.1052 2022/06/28 22:26:27 - mmengine - INFO - Epoch(train) [77][1440/3757] lr: 1.000e-03 eta: 6:33:33 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.4056 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9911 loss: 0.9911 2022/06/28 22:26:32 - mmengine - INFO - Epoch(train) [77][1460/3757] lr: 1.000e-03 eta: 6:33:27 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.4078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/06/28 22:26:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:26:38 - mmengine - INFO - Epoch(train) [77][1480/3757] lr: 1.000e-03 eta: 6:33:22 time: 1.093 data_time: 0.007 memory: 5150 grad_norm: 7.9032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2451 loss: 1.2451 2022/06/28 22:26:43 - mmengine - INFO - Epoch(train) [77][1500/3757] lr: 1.000e-03 eta: 6:33:17 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.6118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/06/28 22:26:49 - mmengine - INFO - Epoch(train) [77][1520/3757] lr: 1.000e-03 eta: 6:33:12 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.1308 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/06/28 22:26:54 - mmengine - INFO - Epoch(train) [77][1540/3757] lr: 1.000e-03 eta: 6:33:06 time: 0.811 data_time: 0.007 memory: 5150 grad_norm: 7.0653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7435 loss: 1.7435 2022/06/28 22:26:59 - mmengine - INFO - Epoch(train) [77][1560/3757] lr: 1.000e-03 eta: 6:33:01 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.6071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2976 loss: 1.2976 2022/06/28 22:27:05 - mmengine - INFO - Epoch(train) [77][1580/3757] lr: 1.000e-03 eta: 6:32:55 time: 0.220 data_time: 0.016 memory: 5150 grad_norm: 8.6191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/06/28 22:27:10 - mmengine - INFO - Epoch(train) [77][1600/3757] lr: 1.000e-03 eta: 6:32:50 time: 0.613 data_time: 0.014 memory: 5150 grad_norm: 9.4065 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2406 loss: 1.2406 2022/06/28 22:27:15 - mmengine - INFO - Epoch(train) [77][1620/3757] lr: 1.000e-03 eta: 6:32:45 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.8591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8766 loss: 0.8766 2022/06/28 22:27:21 - mmengine - INFO - Epoch(train) [77][1640/3757] lr: 1.000e-03 eta: 6:32:40 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 8.0378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8524 loss: 0.8524 2022/06/28 22:27:26 - mmengine - INFO - Epoch(train) [77][1660/3757] lr: 1.000e-03 eta: 6:32:34 time: 0.694 data_time: 0.013 memory: 5150 grad_norm: 8.2024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/06/28 22:27:31 - mmengine - INFO - Epoch(train) [77][1680/3757] lr: 1.000e-03 eta: 6:32:29 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 10.0469 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4359 loss: 1.4359 2022/06/28 22:27:36 - mmengine - INFO - Epoch(train) [77][1700/3757] lr: 1.000e-03 eta: 6:32:23 time: 0.199 data_time: 0.022 memory: 5150 grad_norm: 9.0303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2974 loss: 1.2974 2022/06/28 22:27:41 - mmengine - INFO - Epoch(train) [77][1720/3757] lr: 1.000e-03 eta: 6:32:18 time: 0.552 data_time: 0.024 memory: 5150 grad_norm: 8.8206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1002 loss: 1.1002 2022/06/28 22:27:46 - mmengine - INFO - Epoch(train) [77][1740/3757] lr: 1.000e-03 eta: 6:32:13 time: 0.192 data_time: 0.015 memory: 5150 grad_norm: 10.0960 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6544 loss: 1.6544 2022/06/28 22:27:52 - mmengine - INFO - Epoch(train) [77][1760/3757] lr: 1.000e-03 eta: 6:32:07 time: 0.202 data_time: 0.025 memory: 5150 grad_norm: 8.9114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0943 loss: 1.0943 2022/06/28 22:27:58 - mmengine - INFO - Epoch(train) [77][1780/3757] lr: 1.000e-03 eta: 6:32:02 time: 0.352 data_time: 0.017 memory: 5150 grad_norm: 7.8551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5238 loss: 1.5238 2022/06/28 22:28:03 - mmengine - INFO - Epoch(train) [77][1800/3757] lr: 1.000e-03 eta: 6:31:57 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.0132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2532 loss: 1.2532 2022/06/28 22:28:08 - mmengine - INFO - Epoch(train) [77][1820/3757] lr: 1.000e-03 eta: 6:31:52 time: 0.201 data_time: 0.023 memory: 5150 grad_norm: 8.8085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/06/28 22:28:14 - mmengine - INFO - Epoch(train) [77][1840/3757] lr: 1.000e-03 eta: 6:31:46 time: 0.411 data_time: 0.018 memory: 5150 grad_norm: 7.4105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6171 loss: 1.6171 2022/06/28 22:28:19 - mmengine - INFO - Epoch(train) [77][1860/3757] lr: 1.000e-03 eta: 6:31:41 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.4290 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1244 loss: 1.1244 2022/06/28 22:28:24 - mmengine - INFO - Epoch(train) [77][1880/3757] lr: 1.000e-03 eta: 6:31:36 time: 0.205 data_time: 0.024 memory: 5150 grad_norm: 9.5939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6155 loss: 1.6155 2022/06/28 22:28:30 - mmengine - INFO - Epoch(train) [77][1900/3757] lr: 1.000e-03 eta: 6:31:30 time: 1.066 data_time: 0.018 memory: 5150 grad_norm: 9.8012 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2281 loss: 1.2281 2022/06/28 22:28:35 - mmengine - INFO - Epoch(train) [77][1920/3757] lr: 1.000e-03 eta: 6:31:25 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 8.1068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8258 loss: 0.8258 2022/06/28 22:28:40 - mmengine - INFO - Epoch(train) [77][1940/3757] lr: 1.000e-03 eta: 6:31:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.4585 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6769 loss: 1.6769 2022/06/28 22:28:46 - mmengine - INFO - Epoch(train) [77][1960/3757] lr: 1.000e-03 eta: 6:31:14 time: 0.481 data_time: 0.019 memory: 5150 grad_norm: 8.4298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5676 loss: 1.5676 2022/06/28 22:28:51 - mmengine - INFO - Epoch(train) [77][1980/3757] lr: 1.000e-03 eta: 6:31:09 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8255 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4548 loss: 1.4548 2022/06/28 22:28:57 - mmengine - INFO - Epoch(train) [77][2000/3757] lr: 1.000e-03 eta: 6:31:04 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.1461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/06/28 22:29:02 - mmengine - INFO - Epoch(train) [77][2020/3757] lr: 1.000e-03 eta: 6:30:58 time: 0.203 data_time: 0.030 memory: 5150 grad_norm: 9.0211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8936 loss: 0.8936 2022/06/28 22:29:07 - mmengine - INFO - Epoch(train) [77][2040/3757] lr: 1.000e-03 eta: 6:30:53 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.3019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4909 loss: 1.4909 2022/06/28 22:29:12 - mmengine - INFO - Epoch(train) [77][2060/3757] lr: 1.000e-03 eta: 6:30:48 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 6.9603 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4035 loss: 1.4035 2022/06/28 22:29:18 - mmengine - INFO - Epoch(train) [77][2080/3757] lr: 1.000e-03 eta: 6:30:42 time: 0.490 data_time: 0.013 memory: 5150 grad_norm: 8.4966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5033 loss: 1.5033 2022/06/28 22:29:23 - mmengine - INFO - Epoch(train) [77][2100/3757] lr: 1.000e-03 eta: 6:30:37 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 10.9545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1734 loss: 1.1734 2022/06/28 22:29:28 - mmengine - INFO - Epoch(train) [77][2120/3757] lr: 1.000e-03 eta: 6:30:32 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.2431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3897 loss: 1.3897 2022/06/28 22:29:34 - mmengine - INFO - Epoch(train) [77][2140/3757] lr: 1.000e-03 eta: 6:30:26 time: 0.591 data_time: 0.021 memory: 5150 grad_norm: 7.3515 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1882 loss: 1.1882 2022/06/28 22:29:39 - mmengine - INFO - Epoch(train) [77][2160/3757] lr: 1.000e-03 eta: 6:30:21 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.0302 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2907 loss: 1.2907 2022/06/28 22:29:44 - mmengine - INFO - Epoch(train) [77][2180/3757] lr: 1.000e-03 eta: 6:30:16 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 6.7809 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3606 loss: 1.3606 2022/06/28 22:29:49 - mmengine - INFO - Epoch(train) [77][2200/3757] lr: 1.000e-03 eta: 6:30:10 time: 0.412 data_time: 0.015 memory: 5150 grad_norm: 7.8257 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2597 loss: 1.2597 2022/06/28 22:29:54 - mmengine - INFO - Epoch(train) [77][2220/3757] lr: 1.000e-03 eta: 6:30:05 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.4624 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9444 loss: 0.9444 2022/06/28 22:29:59 - mmengine - INFO - Epoch(train) [77][2240/3757] lr: 1.000e-03 eta: 6:29:59 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.2582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3110 loss: 1.3110 2022/06/28 22:30:05 - mmengine - INFO - Epoch(train) [77][2260/3757] lr: 1.000e-03 eta: 6:29:54 time: 0.227 data_time: 0.027 memory: 5150 grad_norm: 7.6717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8311 loss: 0.8311 2022/06/28 22:30:10 - mmengine - INFO - Epoch(train) [77][2280/3757] lr: 1.000e-03 eta: 6:29:49 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.5520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1748 loss: 1.1748 2022/06/28 22:30:16 - mmengine - INFO - Epoch(train) [77][2300/3757] lr: 1.000e-03 eta: 6:29:44 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.3725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2709 loss: 1.2709 2022/06/28 22:30:21 - mmengine - INFO - Epoch(train) [77][2320/3757] lr: 1.000e-03 eta: 6:29:38 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 7.2807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3464 loss: 1.3464 2022/06/28 22:30:26 - mmengine - INFO - Epoch(train) [77][2340/3757] lr: 1.000e-03 eta: 6:29:33 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 8.2722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/06/28 22:30:32 - mmengine - INFO - Epoch(train) [77][2360/3757] lr: 1.000e-03 eta: 6:29:28 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.9144 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5846 loss: 1.5846 2022/06/28 22:30:37 - mmengine - INFO - Epoch(train) [77][2380/3757] lr: 1.000e-03 eta: 6:29:22 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.7002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3111 loss: 1.3111 2022/06/28 22:30:42 - mmengine - INFO - Epoch(train) [77][2400/3757] lr: 1.000e-03 eta: 6:29:17 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 8.5246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2109 loss: 1.2109 2022/06/28 22:30:47 - mmengine - INFO - Epoch(train) [77][2420/3757] lr: 1.000e-03 eta: 6:29:11 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.7682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2264 loss: 1.2264 2022/06/28 22:30:53 - mmengine - INFO - Epoch(train) [77][2440/3757] lr: 1.000e-03 eta: 6:29:06 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.7316 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0850 loss: 1.0850 2022/06/28 22:30:58 - mmengine - INFO - Epoch(train) [77][2460/3757] lr: 1.000e-03 eta: 6:29:01 time: 0.210 data_time: 0.029 memory: 5150 grad_norm: 9.2043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1165 loss: 1.1165 2022/06/28 22:31:00 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:31:03 - mmengine - INFO - Epoch(train) [77][2480/3757] lr: 1.000e-03 eta: 6:28:55 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.0090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0488 loss: 1.0488 2022/06/28 22:31:09 - mmengine - INFO - Epoch(train) [77][2500/3757] lr: 1.000e-03 eta: 6:28:50 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 9.5567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6010 loss: 1.6010 2022/06/28 22:31:13 - mmengine - INFO - Epoch(train) [77][2520/3757] lr: 1.000e-03 eta: 6:28:45 time: 0.201 data_time: 0.023 memory: 5150 grad_norm: 9.2021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4801 loss: 1.4801 2022/06/28 22:31:19 - mmengine - INFO - Epoch(train) [77][2540/3757] lr: 1.000e-03 eta: 6:28:39 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.4534 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3042 loss: 1.3042 2022/06/28 22:31:24 - mmengine - INFO - Epoch(train) [77][2560/3757] lr: 1.000e-03 eta: 6:28:34 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 9.2270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9868 loss: 0.9868 2022/06/28 22:31:29 - mmengine - INFO - Epoch(train) [77][2580/3757] lr: 1.000e-03 eta: 6:28:29 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/06/28 22:31:34 - mmengine - INFO - Epoch(train) [77][2600/3757] lr: 1.000e-03 eta: 6:28:23 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.6214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2917 loss: 1.2917 2022/06/28 22:31:40 - mmengine - INFO - Epoch(train) [77][2620/3757] lr: 1.000e-03 eta: 6:28:18 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 8.1934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5248 loss: 1.5248 2022/06/28 22:31:45 - mmengine - INFO - Epoch(train) [77][2640/3757] lr: 1.000e-03 eta: 6:28:13 time: 0.204 data_time: 0.023 memory: 5150 grad_norm: 8.4414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2909 loss: 1.2909 2022/06/28 22:31:51 - mmengine - INFO - Epoch(train) [77][2660/3757] lr: 1.000e-03 eta: 6:28:07 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.7650 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/06/28 22:31:56 - mmengine - INFO - Epoch(train) [77][2680/3757] lr: 1.000e-03 eta: 6:28:02 time: 0.618 data_time: 0.007 memory: 5150 grad_norm: 10.2776 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2852 loss: 1.2852 2022/06/28 22:32:02 - mmengine - INFO - Epoch(train) [77][2700/3757] lr: 1.000e-03 eta: 6:27:57 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.8642 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2676 loss: 1.2676 2022/06/28 22:32:07 - mmengine - INFO - Epoch(train) [77][2720/3757] lr: 1.000e-03 eta: 6:27:52 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.6357 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2205 loss: 1.2205 2022/06/28 22:32:13 - mmengine - INFO - Epoch(train) [77][2740/3757] lr: 1.000e-03 eta: 6:27:46 time: 0.476 data_time: 0.007 memory: 5150 grad_norm: 6.6976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/06/28 22:32:18 - mmengine - INFO - Epoch(train) [77][2760/3757] lr: 1.000e-03 eta: 6:27:41 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3612 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0946 loss: 1.0946 2022/06/28 22:32:23 - mmengine - INFO - Epoch(train) [77][2780/3757] lr: 1.000e-03 eta: 6:27:35 time: 0.320 data_time: 0.007 memory: 5150 grad_norm: 9.7322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1407 loss: 1.1407 2022/06/28 22:32:28 - mmengine - INFO - Epoch(train) [77][2800/3757] lr: 1.000e-03 eta: 6:27:30 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.3028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/06/28 22:32:34 - mmengine - INFO - Epoch(train) [77][2820/3757] lr: 1.000e-03 eta: 6:27:25 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.9339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3167 loss: 1.3167 2022/06/28 22:32:39 - mmengine - INFO - Epoch(train) [77][2840/3757] lr: 1.000e-03 eta: 6:27:20 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.6424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3210 loss: 1.3210 2022/06/28 22:32:44 - mmengine - INFO - Epoch(train) [77][2860/3757] lr: 1.000e-03 eta: 6:27:14 time: 0.544 data_time: 0.008 memory: 5150 grad_norm: 10.0820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3731 loss: 1.3731 2022/06/28 22:32:50 - mmengine - INFO - Epoch(train) [77][2880/3757] lr: 1.000e-03 eta: 6:27:09 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.9409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/06/28 22:32:55 - mmengine - INFO - Epoch(train) [77][2900/3757] lr: 1.000e-03 eta: 6:27:03 time: 0.439 data_time: 0.007 memory: 5150 grad_norm: 8.3562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/06/28 22:33:00 - mmengine - INFO - Epoch(train) [77][2920/3757] lr: 1.000e-03 eta: 6:26:58 time: 0.615 data_time: 0.008 memory: 5150 grad_norm: 7.5227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4511 loss: 1.4511 2022/06/28 22:33:06 - mmengine - INFO - Epoch(train) [77][2940/3757] lr: 1.000e-03 eta: 6:26:53 time: 0.233 data_time: 0.008 memory: 5150 grad_norm: 7.2520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1301 loss: 1.1301 2022/06/28 22:33:11 - mmengine - INFO - Epoch(train) [77][2960/3757] lr: 1.000e-03 eta: 6:26:48 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 8.0518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2992 loss: 1.2992 2022/06/28 22:33:17 - mmengine - INFO - Epoch(train) [77][2980/3757] lr: 1.000e-03 eta: 6:26:42 time: 0.425 data_time: 0.008 memory: 5150 grad_norm: 7.5451 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3052 loss: 1.3052 2022/06/28 22:33:22 - mmengine - INFO - Epoch(train) [77][3000/3757] lr: 1.000e-03 eta: 6:26:37 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.7488 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2648 loss: 1.2648 2022/06/28 22:33:27 - mmengine - INFO - Epoch(train) [77][3020/3757] lr: 1.000e-03 eta: 6:26:32 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 10.0612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/06/28 22:33:33 - mmengine - INFO - Epoch(train) [77][3040/3757] lr: 1.000e-03 eta: 6:26:26 time: 0.802 data_time: 0.008 memory: 5150 grad_norm: 8.3613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1965 loss: 1.1965 2022/06/28 22:33:38 - mmengine - INFO - Epoch(train) [77][3060/3757] lr: 1.000e-03 eta: 6:26:21 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.3507 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5074 loss: 1.5074 2022/06/28 22:33:44 - mmengine - INFO - Epoch(train) [77][3080/3757] lr: 1.000e-03 eta: 6:26:16 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.7017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3375 loss: 1.3375 2022/06/28 22:33:49 - mmengine - INFO - Epoch(train) [77][3100/3757] lr: 1.000e-03 eta: 6:26:10 time: 0.309 data_time: 0.008 memory: 5150 grad_norm: 7.7012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3770 loss: 1.3770 2022/06/28 22:33:54 - mmengine - INFO - Epoch(train) [77][3120/3757] lr: 1.000e-03 eta: 6:26:05 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.1583 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1773 loss: 1.1773 2022/06/28 22:34:00 - mmengine - INFO - Epoch(train) [77][3140/3757] lr: 1.000e-03 eta: 6:26:00 time: 0.231 data_time: 0.010 memory: 5150 grad_norm: 6.0592 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3629 loss: 1.3629 2022/06/28 22:34:05 - mmengine - INFO - Epoch(train) [77][3160/3757] lr: 1.000e-03 eta: 6:25:54 time: 0.507 data_time: 0.008 memory: 5150 grad_norm: 8.1314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/06/28 22:34:10 - mmengine - INFO - Epoch(train) [77][3180/3757] lr: 1.000e-03 eta: 6:25:49 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.1413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1039 loss: 1.1039 2022/06/28 22:34:16 - mmengine - INFO - Epoch(train) [77][3200/3757] lr: 1.000e-03 eta: 6:25:44 time: 0.277 data_time: 0.008 memory: 5150 grad_norm: 7.9476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2135 loss: 1.2135 2022/06/28 22:34:20 - mmengine - INFO - Epoch(train) [77][3220/3757] lr: 1.000e-03 eta: 6:25:38 time: 0.499 data_time: 0.007 memory: 5150 grad_norm: 7.6276 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0861 loss: 1.0861 2022/06/28 22:34:26 - mmengine - INFO - Epoch(train) [77][3240/3757] lr: 1.000e-03 eta: 6:25:33 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.0739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6398 loss: 1.6398 2022/06/28 22:34:31 - mmengine - INFO - Epoch(train) [77][3260/3757] lr: 1.000e-03 eta: 6:25:28 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 9.9873 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4243 loss: 1.4243 2022/06/28 22:34:37 - mmengine - INFO - Epoch(train) [77][3280/3757] lr: 1.000e-03 eta: 6:25:23 time: 0.793 data_time: 0.025 memory: 5150 grad_norm: 5.5463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/28 22:34:42 - mmengine - INFO - Epoch(train) [77][3300/3757] lr: 1.000e-03 eta: 6:25:17 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 9.1985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/06/28 22:34:47 - mmengine - INFO - Epoch(train) [77][3320/3757] lr: 1.000e-03 eta: 6:25:12 time: 0.230 data_time: 0.008 memory: 5150 grad_norm: 8.5127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0936 loss: 1.0936 2022/06/28 22:34:53 - mmengine - INFO - Epoch(train) [77][3340/3757] lr: 1.000e-03 eta: 6:25:06 time: 0.515 data_time: 0.014 memory: 5150 grad_norm: 9.1896 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2513 loss: 1.2513 2022/06/28 22:34:58 - mmengine - INFO - Epoch(train) [77][3360/3757] lr: 1.000e-03 eta: 6:25:01 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.3959 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/06/28 22:35:04 - mmengine - INFO - Epoch(train) [77][3380/3757] lr: 1.000e-03 eta: 6:24:56 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 10.2133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6173 loss: 1.6173 2022/06/28 22:35:09 - mmengine - INFO - Epoch(train) [77][3400/3757] lr: 1.000e-03 eta: 6:24:51 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 9.4656 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3410 loss: 1.3410 2022/06/28 22:35:14 - mmengine - INFO - Epoch(train) [77][3420/3757] lr: 1.000e-03 eta: 6:24:45 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.1837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2272 loss: 1.2272 2022/06/28 22:35:19 - mmengine - INFO - Epoch(train) [77][3440/3757] lr: 1.000e-03 eta: 6:24:40 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.4134 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4414 loss: 1.4414 2022/06/28 22:35:24 - mmengine - INFO - Epoch(train) [77][3460/3757] lr: 1.000e-03 eta: 6:24:34 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0410 loss: 1.0410 2022/06/28 22:35:26 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:35:29 - mmengine - INFO - Epoch(train) [77][3480/3757] lr: 1.000e-03 eta: 6:24:29 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 8.5028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1038 loss: 1.1038 2022/06/28 22:35:34 - mmengine - INFO - Epoch(train) [77][3500/3757] lr: 1.000e-03 eta: 6:24:24 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.9905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9578 loss: 0.9578 2022/06/28 22:35:39 - mmengine - INFO - Epoch(train) [77][3520/3757] lr: 1.000e-03 eta: 6:24:18 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.2364 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4132 loss: 1.4132 2022/06/28 22:35:45 - mmengine - INFO - Epoch(train) [77][3540/3757] lr: 1.000e-03 eta: 6:24:13 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.1993 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0953 loss: 1.0953 2022/06/28 22:35:50 - mmengine - INFO - Epoch(train) [77][3560/3757] lr: 1.000e-03 eta: 6:24:08 time: 0.378 data_time: 0.008 memory: 5150 grad_norm: 8.2412 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7180 loss: 1.7180 2022/06/28 22:35:55 - mmengine - INFO - Epoch(train) [77][3580/3757] lr: 1.000e-03 eta: 6:24:02 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.0695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0451 loss: 1.0451 2022/06/28 22:36:01 - mmengine - INFO - Epoch(train) [77][3600/3757] lr: 1.000e-03 eta: 6:23:57 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.4278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1688 loss: 1.1688 2022/06/28 22:36:07 - mmengine - INFO - Epoch(train) [77][3620/3757] lr: 1.000e-03 eta: 6:23:52 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 9.1136 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/06/28 22:36:12 - mmengine - INFO - Epoch(train) [77][3640/3757] lr: 1.000e-03 eta: 6:23:46 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 6.9152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1244 loss: 1.1244 2022/06/28 22:36:17 - mmengine - INFO - Epoch(train) [77][3660/3757] lr: 1.000e-03 eta: 6:23:41 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 9.1537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0102 loss: 1.0102 2022/06/28 22:36:23 - mmengine - INFO - Epoch(train) [77][3680/3757] lr: 1.000e-03 eta: 6:23:36 time: 0.246 data_time: 0.007 memory: 5150 grad_norm: 8.0401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/06/28 22:36:28 - mmengine - INFO - Epoch(train) [77][3700/3757] lr: 1.000e-03 eta: 6:23:30 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.9814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2008 loss: 1.2008 2022/06/28 22:36:33 - mmengine - INFO - Epoch(train) [77][3720/3757] lr: 1.000e-03 eta: 6:23:25 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 8.3865 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2633 loss: 1.2633 2022/06/28 22:36:38 - mmengine - INFO - Epoch(train) [77][3740/3757] lr: 1.000e-03 eta: 6:23:20 time: 0.232 data_time: 0.012 memory: 5150 grad_norm: 8.3243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1254 loss: 1.1254 2022/06/28 22:36:41 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:37:15 - mmengine - INFO - Epoch(val) [77][20/310] eta: 0:05:50 time: 0.994 data_time: 0.327 memory: 9746 2022/06/28 22:37:37 - mmengine - INFO - Epoch(val) [77][40/310] eta: 0:04:50 time: 0.972 data_time: 0.313 memory: 9746 2022/06/28 22:38:01 - mmengine - INFO - Epoch(val) [77][60/310] eta: 0:04:32 time: 1.165 data_time: 0.533 memory: 9746 2022/06/28 22:38:24 - mmengine - INFO - Epoch(val) [77][80/310] eta: 0:04:42 time: 1.086 data_time: 0.452 memory: 9746 2022/06/28 22:38:48 - mmengine - INFO - Epoch(val) [77][100/310] eta: 0:04:14 time: 2.650 data_time: 1.977 memory: 9746 2022/06/28 22:39:09 - mmengine - INFO - Epoch(val) [77][120/310] eta: 0:03:21 time: 1.164 data_time: 0.528 memory: 9746 2022/06/28 22:39:33 - mmengine - INFO - Epoch(val) [77][140/310] eta: 0:03:14 time: 1.062 data_time: 0.417 memory: 9746 2022/06/28 22:39:57 - mmengine - INFO - Epoch(val) [77][160/310] eta: 0:03:14 time: 3.701 data_time: 3.017 memory: 9746 2022/06/28 22:40:21 - mmengine - INFO - Epoch(val) [77][180/310] eta: 0:02:49 time: 0.989 data_time: 0.329 memory: 9746 2022/06/28 22:40:43 - mmengine - INFO - Epoch(val) [77][200/310] eta: 0:02:06 time: 1.170 data_time: 0.489 memory: 9746 2022/06/28 22:41:04 - mmengine - INFO - Epoch(val) [77][220/310] eta: 0:01:36 time: 0.985 data_time: 0.325 memory: 9746 2022/06/28 22:41:26 - mmengine - INFO - Epoch(val) [77][240/310] eta: 0:01:13 time: 0.970 data_time: 0.301 memory: 9746 2022/06/28 22:41:49 - mmengine - INFO - Epoch(val) [77][260/310] eta: 0:00:59 time: 1.076 data_time: 0.420 memory: 9746 2022/06/28 22:42:12 - mmengine - INFO - Epoch(val) [77][280/310] eta: 0:00:35 time: 0.912 data_time: 0.265 memory: 9746 2022/06/28 22:42:32 - mmengine - INFO - Epoch(val) [77][300/310] eta: 0:00:08 time: 0.656 data_time: 0.077 memory: 9746 2022/06/28 22:42:45 - mmengine - INFO - Epoch(val) [77][310/310] acc/top1: 0.7074 acc/top5: 0.8987 acc/mean1: 0.7073 2022/06/28 22:42:54 - mmengine - INFO - Epoch(train) [78][20/3757] lr: 1.000e-03 eta: 6:23:10 time: 0.204 data_time: 0.008 memory: 9746 grad_norm: 9.1051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3634 loss: 1.3634 2022/06/28 22:42:59 - mmengine - INFO - Epoch(train) [78][40/3757] lr: 1.000e-03 eta: 6:23:05 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1441 loss: 1.1441 2022/06/28 22:43:04 - mmengine - INFO - Epoch(train) [78][60/3757] lr: 1.000e-03 eta: 6:22:59 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.3837 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.0345 loss: 1.0345 2022/06/28 22:43:10 - mmengine - INFO - Epoch(train) [78][80/3757] lr: 1.000e-03 eta: 6:22:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.1798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2492 loss: 1.2492 2022/06/28 22:43:15 - mmengine - INFO - Epoch(train) [78][100/3757] lr: 1.000e-03 eta: 6:22:49 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.7955 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1251 loss: 1.1251 2022/06/28 22:43:20 - mmengine - INFO - Epoch(train) [78][120/3757] lr: 1.000e-03 eta: 6:22:43 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.9630 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0801 loss: 1.0801 2022/06/28 22:43:26 - mmengine - INFO - Epoch(train) [78][140/3757] lr: 1.000e-03 eta: 6:22:38 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.2063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/06/28 22:43:31 - mmengine - INFO - Epoch(train) [78][160/3757] lr: 1.000e-03 eta: 6:22:33 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.6487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0737 loss: 1.0737 2022/06/28 22:43:36 - mmengine - INFO - Epoch(train) [78][180/3757] lr: 1.000e-03 eta: 6:22:27 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.1638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/06/28 22:43:42 - mmengine - INFO - Epoch(train) [78][200/3757] lr: 1.000e-03 eta: 6:22:22 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.0301 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/06/28 22:43:47 - mmengine - INFO - Epoch(train) [78][220/3757] lr: 1.000e-03 eta: 6:22:17 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.3506 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2331 loss: 1.2331 2022/06/28 22:43:52 - mmengine - INFO - Epoch(train) [78][240/3757] lr: 1.000e-03 eta: 6:22:11 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 8.4815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0475 loss: 1.0475 2022/06/28 22:43:58 - mmengine - INFO - Epoch(train) [78][260/3757] lr: 1.000e-03 eta: 6:22:06 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.7948 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5363 loss: 1.5363 2022/06/28 22:44:03 - mmengine - INFO - Epoch(train) [78][280/3757] lr: 1.000e-03 eta: 6:22:01 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.2170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1988 loss: 1.1988 2022/06/28 22:44:08 - mmengine - INFO - Epoch(train) [78][300/3757] lr: 1.000e-03 eta: 6:21:55 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 7.9832 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3217 loss: 1.3217 2022/06/28 22:44:14 - mmengine - INFO - Epoch(train) [78][320/3757] lr: 1.000e-03 eta: 6:21:50 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.6495 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/06/28 22:44:19 - mmengine - INFO - Epoch(train) [78][340/3757] lr: 1.000e-03 eta: 6:21:45 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 7.4218 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5338 loss: 1.5338 2022/06/28 22:44:24 - mmengine - INFO - Epoch(train) [78][360/3757] lr: 1.000e-03 eta: 6:21:39 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 8.8218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3599 loss: 1.3599 2022/06/28 22:44:29 - mmengine - INFO - Epoch(train) [78][380/3757] lr: 1.000e-03 eta: 6:21:34 time: 0.214 data_time: 0.023 memory: 5150 grad_norm: 10.2201 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7038 loss: 1.7038 2022/06/28 22:44:35 - mmengine - INFO - Epoch(train) [78][400/3757] lr: 1.000e-03 eta: 6:21:29 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.5741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3978 loss: 1.3978 2022/06/28 22:44:40 - mmengine - INFO - Epoch(train) [78][420/3757] lr: 1.000e-03 eta: 6:21:23 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 7.3645 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1857 loss: 1.1857 2022/06/28 22:44:45 - mmengine - INFO - Epoch(train) [78][440/3757] lr: 1.000e-03 eta: 6:21:18 time: 0.528 data_time: 0.020 memory: 5150 grad_norm: 10.7631 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1064 loss: 1.1064 2022/06/28 22:44:51 - mmengine - INFO - Epoch(train) [78][460/3757] lr: 1.000e-03 eta: 6:21:13 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.8739 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2130 loss: 1.2130 2022/06/28 22:44:56 - mmengine - INFO - Epoch(train) [78][480/3757] lr: 1.000e-03 eta: 6:21:07 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.4306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0428 loss: 1.0428 2022/06/28 22:45:01 - mmengine - INFO - Epoch(train) [78][500/3757] lr: 1.000e-03 eta: 6:21:02 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 9.2330 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4362 loss: 1.4362 2022/06/28 22:45:07 - mmengine - INFO - Epoch(train) [78][520/3757] lr: 1.000e-03 eta: 6:20:57 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.1001 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/06/28 22:45:12 - mmengine - INFO - Epoch(train) [78][540/3757] lr: 1.000e-03 eta: 6:20:51 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.4454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2364 loss: 1.2364 2022/06/28 22:45:17 - mmengine - INFO - Epoch(train) [78][560/3757] lr: 1.000e-03 eta: 6:20:46 time: 0.215 data_time: 0.020 memory: 5150 grad_norm: 8.9067 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0754 loss: 1.0754 2022/06/28 22:45:23 - mmengine - INFO - Epoch(train) [78][580/3757] lr: 1.000e-03 eta: 6:20:41 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.8937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4275 loss: 1.4275 2022/06/28 22:45:28 - mmengine - INFO - Epoch(train) [78][600/3757] lr: 1.000e-03 eta: 6:20:35 time: 0.500 data_time: 0.007 memory: 5150 grad_norm: 7.5238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/06/28 22:45:33 - mmengine - INFO - Epoch(train) [78][620/3757] lr: 1.000e-03 eta: 6:20:30 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 9.0705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3195 loss: 1.3195 2022/06/28 22:45:39 - mmengine - INFO - Epoch(train) [78][640/3757] lr: 1.000e-03 eta: 6:20:25 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1243 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1482 loss: 1.1482 2022/06/28 22:45:44 - mmengine - INFO - Epoch(train) [78][660/3757] lr: 1.000e-03 eta: 6:20:20 time: 0.658 data_time: 0.022 memory: 5150 grad_norm: 8.6052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2967 loss: 1.2967 2022/06/28 22:45:49 - mmengine - INFO - Epoch(train) [78][680/3757] lr: 1.000e-03 eta: 6:20:14 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.3634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2873 loss: 1.2873 2022/06/28 22:45:55 - mmengine - INFO - Epoch(train) [78][700/3757] lr: 1.000e-03 eta: 6:20:09 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.7404 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9635 loss: 0.9635 2022/06/28 22:45:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:46:00 - mmengine - INFO - Epoch(train) [78][720/3757] lr: 1.000e-03 eta: 6:20:03 time: 0.227 data_time: 0.019 memory: 5150 grad_norm: 8.8120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0839 loss: 1.0839 2022/06/28 22:46:05 - mmengine - INFO - Epoch(train) [78][740/3757] lr: 1.000e-03 eta: 6:19:58 time: 0.297 data_time: 0.018 memory: 5150 grad_norm: 7.7553 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0366 loss: 1.0366 2022/06/28 22:46:11 - mmengine - INFO - Epoch(train) [78][760/3757] lr: 1.000e-03 eta: 6:19:53 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.4930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1520 loss: 1.1520 2022/06/28 22:46:16 - mmengine - INFO - Epoch(train) [78][780/3757] lr: 1.000e-03 eta: 6:19:48 time: 0.194 data_time: 0.014 memory: 5150 grad_norm: 9.7990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2257 loss: 1.2257 2022/06/28 22:46:22 - mmengine - INFO - Epoch(train) [78][800/3757] lr: 1.000e-03 eta: 6:19:42 time: 0.647 data_time: 0.012 memory: 5150 grad_norm: 10.6905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2000 loss: 1.2000 2022/06/28 22:46:28 - mmengine - INFO - Epoch(train) [78][820/3757] lr: 1.000e-03 eta: 6:19:37 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.2259 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8319 loss: 0.8319 2022/06/28 22:46:32 - mmengine - INFO - Epoch(train) [78][840/3757] lr: 1.000e-03 eta: 6:19:32 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.2815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/06/28 22:46:37 - mmengine - INFO - Epoch(train) [78][860/3757] lr: 1.000e-03 eta: 6:19:26 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 6.2855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/06/28 22:46:42 - mmengine - INFO - Epoch(train) [78][880/3757] lr: 1.000e-03 eta: 6:19:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.2773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/06/28 22:46:48 - mmengine - INFO - Epoch(train) [78][900/3757] lr: 1.000e-03 eta: 6:19:16 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 10.1656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5186 loss: 1.5186 2022/06/28 22:46:53 - mmengine - INFO - Epoch(train) [78][920/3757] lr: 1.000e-03 eta: 6:19:10 time: 0.598 data_time: 0.011 memory: 5150 grad_norm: 7.8531 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2793 loss: 1.2793 2022/06/28 22:46:58 - mmengine - INFO - Epoch(train) [78][940/3757] lr: 1.000e-03 eta: 6:19:05 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 6.9590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4961 loss: 1.4961 2022/06/28 22:47:03 - mmengine - INFO - Epoch(train) [78][960/3757] lr: 1.000e-03 eta: 6:18:59 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.8458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1148 loss: 1.1148 2022/06/28 22:47:09 - mmengine - INFO - Epoch(train) [78][980/3757] lr: 1.000e-03 eta: 6:18:54 time: 0.484 data_time: 0.016 memory: 5150 grad_norm: 8.8633 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1668 loss: 1.1668 2022/06/28 22:47:14 - mmengine - INFO - Epoch(train) [78][1000/3757] lr: 1.000e-03 eta: 6:18:49 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.7473 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0396 loss: 1.0396 2022/06/28 22:47:20 - mmengine - INFO - Epoch(train) [78][1020/3757] lr: 1.000e-03 eta: 6:18:44 time: 0.378 data_time: 0.009 memory: 5150 grad_norm: 9.1616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6819 loss: 1.6819 2022/06/28 22:47:25 - mmengine - INFO - Epoch(train) [78][1040/3757] lr: 1.000e-03 eta: 6:18:38 time: 0.279 data_time: 0.007 memory: 5150 grad_norm: 7.3204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0659 loss: 1.0659 2022/06/28 22:47:30 - mmengine - INFO - Epoch(train) [78][1060/3757] lr: 1.000e-03 eta: 6:18:33 time: 0.262 data_time: 0.008 memory: 5150 grad_norm: 9.3857 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4707 loss: 1.4707 2022/06/28 22:47:36 - mmengine - INFO - Epoch(train) [78][1080/3757] lr: 1.000e-03 eta: 6:18:28 time: 0.494 data_time: 0.013 memory: 5150 grad_norm: 7.4050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0684 loss: 1.0684 2022/06/28 22:47:41 - mmengine - INFO - Epoch(train) [78][1100/3757] lr: 1.000e-03 eta: 6:18:22 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.8627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2475 loss: 1.2475 2022/06/28 22:47:47 - mmengine - INFO - Epoch(train) [78][1120/3757] lr: 1.000e-03 eta: 6:18:17 time: 0.338 data_time: 0.007 memory: 5150 grad_norm: 8.4004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/06/28 22:47:52 - mmengine - INFO - Epoch(train) [78][1140/3757] lr: 1.000e-03 eta: 6:18:12 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.5228 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4628 loss: 1.4628 2022/06/28 22:47:58 - mmengine - INFO - Epoch(train) [78][1160/3757] lr: 1.000e-03 eta: 6:18:07 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.9767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2648 loss: 1.2648 2022/06/28 22:48:04 - mmengine - INFO - Epoch(train) [78][1180/3757] lr: 1.000e-03 eta: 6:18:01 time: 0.728 data_time: 0.008 memory: 5150 grad_norm: 10.5767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/06/28 22:48:09 - mmengine - INFO - Epoch(train) [78][1200/3757] lr: 1.000e-03 eta: 6:17:56 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 7.2330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3803 loss: 1.3803 2022/06/28 22:48:14 - mmengine - INFO - Epoch(train) [78][1220/3757] lr: 1.000e-03 eta: 6:17:51 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.4286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/06/28 22:48:20 - mmengine - INFO - Epoch(train) [78][1240/3757] lr: 1.000e-03 eta: 6:17:45 time: 0.970 data_time: 0.007 memory: 5150 grad_norm: 10.1468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4896 loss: 1.4896 2022/06/28 22:48:24 - mmengine - INFO - Epoch(train) [78][1260/3757] lr: 1.000e-03 eta: 6:17:40 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.6302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9521 loss: 0.9521 2022/06/28 22:48:30 - mmengine - INFO - Epoch(train) [78][1280/3757] lr: 1.000e-03 eta: 6:17:35 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 6.5809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/06/28 22:48:35 - mmengine - INFO - Epoch(train) [78][1300/3757] lr: 1.000e-03 eta: 6:17:29 time: 0.584 data_time: 0.012 memory: 5150 grad_norm: 8.3370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2683 loss: 1.2683 2022/06/28 22:48:40 - mmengine - INFO - Epoch(train) [78][1320/3757] lr: 1.000e-03 eta: 6:17:24 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.2065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5061 loss: 1.5061 2022/06/28 22:48:45 - mmengine - INFO - Epoch(train) [78][1340/3757] lr: 1.000e-03 eta: 6:17:18 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.0426 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2063 loss: 1.2063 2022/06/28 22:48:50 - mmengine - INFO - Epoch(train) [78][1360/3757] lr: 1.000e-03 eta: 6:17:13 time: 0.591 data_time: 0.007 memory: 5150 grad_norm: 9.6244 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.4212 loss: 1.4212 2022/06/28 22:48:56 - mmengine - INFO - Epoch(train) [78][1380/3757] lr: 1.000e-03 eta: 6:17:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0063 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5636 loss: 1.5636 2022/06/28 22:49:01 - mmengine - INFO - Epoch(train) [78][1400/3757] lr: 1.000e-03 eta: 6:17:02 time: 0.455 data_time: 0.008 memory: 5150 grad_norm: 8.0360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/06/28 22:49:07 - mmengine - INFO - Epoch(train) [78][1420/3757] lr: 1.000e-03 eta: 6:16:57 time: 0.642 data_time: 0.008 memory: 5150 grad_norm: 8.0426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/06/28 22:49:12 - mmengine - INFO - Epoch(train) [78][1440/3757] lr: 1.000e-03 eta: 6:16:52 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.8392 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3147 loss: 1.3147 2022/06/28 22:49:18 - mmengine - INFO - Epoch(train) [78][1460/3757] lr: 1.000e-03 eta: 6:16:47 time: 0.600 data_time: 0.013 memory: 5150 grad_norm: 10.5038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2217 loss: 1.2217 2022/06/28 22:49:23 - mmengine - INFO - Epoch(train) [78][1480/3757] lr: 1.000e-03 eta: 6:16:41 time: 0.720 data_time: 0.013 memory: 5150 grad_norm: 9.2261 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4350 loss: 1.4350 2022/06/28 22:49:28 - mmengine - INFO - Epoch(train) [78][1500/3757] lr: 1.000e-03 eta: 6:16:36 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.3958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5921 loss: 1.5921 2022/06/28 22:49:33 - mmengine - INFO - Epoch(train) [78][1520/3757] lr: 1.000e-03 eta: 6:16:31 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 7.6600 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/06/28 22:49:39 - mmengine - INFO - Epoch(train) [78][1540/3757] lr: 1.000e-03 eta: 6:16:25 time: 1.200 data_time: 0.007 memory: 5150 grad_norm: 6.5807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2354 loss: 1.2354 2022/06/28 22:49:44 - mmengine - INFO - Epoch(train) [78][1560/3757] lr: 1.000e-03 eta: 6:16:20 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.8879 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3966 loss: 1.3966 2022/06/28 22:49:50 - mmengine - INFO - Epoch(train) [78][1580/3757] lr: 1.000e-03 eta: 6:16:15 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 11.3759 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2238 loss: 1.2238 2022/06/28 22:49:55 - mmengine - INFO - Epoch(train) [78][1600/3757] lr: 1.000e-03 eta: 6:16:09 time: 0.830 data_time: 0.008 memory: 5150 grad_norm: 7.9905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6388 loss: 1.6388 2022/06/28 22:50:00 - mmengine - INFO - Epoch(train) [78][1620/3757] lr: 1.000e-03 eta: 6:16:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.7439 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1598 loss: 1.1598 2022/06/28 22:50:06 - mmengine - INFO - Epoch(train) [78][1640/3757] lr: 1.000e-03 eta: 6:15:59 time: 0.219 data_time: 0.013 memory: 5150 grad_norm: 9.7897 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4219 loss: 1.4219 2022/06/28 22:50:11 - mmengine - INFO - Epoch(train) [78][1660/3757] lr: 1.000e-03 eta: 6:15:53 time: 0.815 data_time: 0.008 memory: 5150 grad_norm: 9.0557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2008 loss: 1.2008 2022/06/28 22:50:17 - mmengine - INFO - Epoch(train) [78][1680/3757] lr: 1.000e-03 eta: 6:15:48 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4268 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3593 loss: 1.3593 2022/06/28 22:50:22 - mmengine - INFO - Epoch(train) [78][1700/3757] lr: 1.000e-03 eta: 6:15:43 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.4289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2056 loss: 1.2056 2022/06/28 22:50:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:50:28 - mmengine - INFO - Epoch(train) [78][1720/3757] lr: 1.000e-03 eta: 6:15:38 time: 0.836 data_time: 0.023 memory: 5150 grad_norm: 9.7690 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1470 loss: 1.1470 2022/06/28 22:50:32 - mmengine - INFO - Epoch(train) [78][1740/3757] lr: 1.000e-03 eta: 6:15:32 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 7.5876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1123 loss: 1.1123 2022/06/28 22:50:38 - mmengine - INFO - Epoch(train) [78][1760/3757] lr: 1.000e-03 eta: 6:15:27 time: 0.248 data_time: 0.023 memory: 5150 grad_norm: 8.3278 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3738 loss: 1.3738 2022/06/28 22:50:44 - mmengine - INFO - Epoch(train) [78][1780/3757] lr: 1.000e-03 eta: 6:15:22 time: 0.945 data_time: 0.008 memory: 5150 grad_norm: 8.3177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3104 loss: 1.3104 2022/06/28 22:50:49 - mmengine - INFO - Epoch(train) [78][1800/3757] lr: 1.000e-03 eta: 6:15:16 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 10.1833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/06/28 22:50:54 - mmengine - INFO - Epoch(train) [78][1820/3757] lr: 1.000e-03 eta: 6:15:11 time: 0.374 data_time: 0.011 memory: 5150 grad_norm: 7.4934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/06/28 22:51:00 - mmengine - INFO - Epoch(train) [78][1840/3757] lr: 1.000e-03 eta: 6:15:06 time: 0.958 data_time: 0.014 memory: 5150 grad_norm: 9.0037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0031 loss: 1.0031 2022/06/28 22:51:05 - mmengine - INFO - Epoch(train) [78][1860/3757] lr: 1.000e-03 eta: 6:15:00 time: 0.221 data_time: 0.019 memory: 5150 grad_norm: 9.4243 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1776 loss: 1.1776 2022/06/28 22:51:10 - mmengine - INFO - Epoch(train) [78][1880/3757] lr: 1.000e-03 eta: 6:14:55 time: 0.335 data_time: 0.010 memory: 5150 grad_norm: 10.1378 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/06/28 22:51:16 - mmengine - INFO - Epoch(train) [78][1900/3757] lr: 1.000e-03 eta: 6:14:50 time: 0.608 data_time: 0.011 memory: 5150 grad_norm: 8.8653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1487 loss: 1.1487 2022/06/28 22:51:20 - mmengine - INFO - Epoch(train) [78][1920/3757] lr: 1.000e-03 eta: 6:14:44 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 8.9981 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1491 loss: 1.1491 2022/06/28 22:51:26 - mmengine - INFO - Epoch(train) [78][1940/3757] lr: 1.000e-03 eta: 6:14:39 time: 0.232 data_time: 0.012 memory: 5150 grad_norm: 7.9223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4289 loss: 1.4289 2022/06/28 22:51:32 - mmengine - INFO - Epoch(train) [78][1960/3757] lr: 1.000e-03 eta: 6:14:34 time: 1.214 data_time: 0.011 memory: 5150 grad_norm: 8.4675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/06/28 22:51:37 - mmengine - INFO - Epoch(train) [78][1980/3757] lr: 1.000e-03 eta: 6:14:28 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.5529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/06/28 22:51:42 - mmengine - INFO - Epoch(train) [78][2000/3757] lr: 1.000e-03 eta: 6:14:23 time: 0.226 data_time: 0.011 memory: 5150 grad_norm: 8.6593 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3569 loss: 1.3569 2022/06/28 22:51:48 - mmengine - INFO - Epoch(train) [78][2020/3757] lr: 1.000e-03 eta: 6:14:18 time: 1.162 data_time: 0.017 memory: 5150 grad_norm: 8.3736 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2575 loss: 1.2575 2022/06/28 22:51:53 - mmengine - INFO - Epoch(train) [78][2040/3757] lr: 1.000e-03 eta: 6:14:12 time: 0.232 data_time: 0.011 memory: 5150 grad_norm: 9.6053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1450 loss: 1.1450 2022/06/28 22:51:58 - mmengine - INFO - Epoch(train) [78][2060/3757] lr: 1.000e-03 eta: 6:14:07 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 9.0276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2969 loss: 1.2969 2022/06/28 22:52:03 - mmengine - INFO - Epoch(train) [78][2080/3757] lr: 1.000e-03 eta: 6:14:02 time: 0.814 data_time: 0.006 memory: 5150 grad_norm: 7.4183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8622 loss: 0.8622 2022/06/28 22:52:08 - mmengine - INFO - Epoch(train) [78][2100/3757] lr: 1.000e-03 eta: 6:13:56 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.3806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3725 loss: 1.3725 2022/06/28 22:52:13 - mmengine - INFO - Epoch(train) [78][2120/3757] lr: 1.000e-03 eta: 6:13:51 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 9.3904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3394 loss: 1.3394 2022/06/28 22:52:19 - mmengine - INFO - Epoch(train) [78][2140/3757] lr: 1.000e-03 eta: 6:13:46 time: 0.940 data_time: 0.007 memory: 5150 grad_norm: 8.8313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9217 loss: 0.9217 2022/06/28 22:52:24 - mmengine - INFO - Epoch(train) [78][2160/3757] lr: 1.000e-03 eta: 6:13:40 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 10.2543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/28 22:52:29 - mmengine - INFO - Epoch(train) [78][2180/3757] lr: 1.000e-03 eta: 6:13:35 time: 0.263 data_time: 0.008 memory: 5150 grad_norm: 8.0480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0842 loss: 1.0842 2022/06/28 22:52:35 - mmengine - INFO - Epoch(train) [78][2200/3757] lr: 1.000e-03 eta: 6:13:30 time: 0.644 data_time: 0.012 memory: 5150 grad_norm: 8.7353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5663 loss: 1.5663 2022/06/28 22:52:40 - mmengine - INFO - Epoch(train) [78][2220/3757] lr: 1.000e-03 eta: 6:13:24 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.4901 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2991 loss: 1.2991 2022/06/28 22:52:46 - mmengine - INFO - Epoch(train) [78][2240/3757] lr: 1.000e-03 eta: 6:13:19 time: 0.656 data_time: 0.008 memory: 5150 grad_norm: 7.7166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1463 loss: 1.1463 2022/06/28 22:52:51 - mmengine - INFO - Epoch(train) [78][2260/3757] lr: 1.000e-03 eta: 6:13:14 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.8329 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2024 loss: 1.2024 2022/06/28 22:52:56 - mmengine - INFO - Epoch(train) [78][2280/3757] lr: 1.000e-03 eta: 6:13:08 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.5739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3373 loss: 1.3373 2022/06/28 22:53:01 - mmengine - INFO - Epoch(train) [78][2300/3757] lr: 1.000e-03 eta: 6:13:03 time: 0.403 data_time: 0.007 memory: 5150 grad_norm: 8.3779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1152 loss: 1.1152 2022/06/28 22:53:06 - mmengine - INFO - Epoch(train) [78][2320/3757] lr: 1.000e-03 eta: 6:12:57 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 8.3403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3746 loss: 1.3746 2022/06/28 22:53:12 - mmengine - INFO - Epoch(train) [78][2340/3757] lr: 1.000e-03 eta: 6:12:52 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.0688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2942 loss: 1.2942 2022/06/28 22:53:17 - mmengine - INFO - Epoch(train) [78][2360/3757] lr: 1.000e-03 eta: 6:12:47 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.1950 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2894 loss: 1.2894 2022/06/28 22:53:22 - mmengine - INFO - Epoch(train) [78][2380/3757] lr: 1.000e-03 eta: 6:12:41 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.7994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3150 loss: 1.3150 2022/06/28 22:53:27 - mmengine - INFO - Epoch(train) [78][2400/3757] lr: 1.000e-03 eta: 6:12:36 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 6.8369 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3997 loss: 1.3997 2022/06/28 22:53:32 - mmengine - INFO - Epoch(train) [78][2420/3757] lr: 1.000e-03 eta: 6:12:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.0791 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/06/28 22:53:38 - mmengine - INFO - Epoch(train) [78][2440/3757] lr: 1.000e-03 eta: 6:12:25 time: 0.234 data_time: 0.009 memory: 5150 grad_norm: 7.9747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2174 loss: 1.2174 2022/06/28 22:53:43 - mmengine - INFO - Epoch(train) [78][2460/3757] lr: 1.000e-03 eta: 6:12:20 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.7535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0445 loss: 1.0445 2022/06/28 22:53:48 - mmengine - INFO - Epoch(train) [78][2480/3757] lr: 1.000e-03 eta: 6:12:15 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 8.5446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3539 loss: 1.3539 2022/06/28 22:53:54 - mmengine - INFO - Epoch(train) [78][2500/3757] lr: 1.000e-03 eta: 6:12:09 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.6429 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9065 loss: 0.9065 2022/06/28 22:53:59 - mmengine - INFO - Epoch(train) [78][2520/3757] lr: 1.000e-03 eta: 6:12:04 time: 0.543 data_time: 0.007 memory: 5150 grad_norm: 8.7328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3091 loss: 1.3091 2022/06/28 22:54:04 - mmengine - INFO - Epoch(train) [78][2540/3757] lr: 1.000e-03 eta: 6:11:59 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.7760 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3777 loss: 1.3777 2022/06/28 22:54:09 - mmengine - INFO - Epoch(train) [78][2560/3757] lr: 1.000e-03 eta: 6:11:53 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.8453 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5910 loss: 1.5910 2022/06/28 22:54:15 - mmengine - INFO - Epoch(train) [78][2580/3757] lr: 1.000e-03 eta: 6:11:48 time: 0.653 data_time: 0.007 memory: 5150 grad_norm: 8.9909 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5364 loss: 1.5364 2022/06/28 22:54:20 - mmengine - INFO - Epoch(train) [78][2600/3757] lr: 1.000e-03 eta: 6:11:43 time: 0.446 data_time: 0.011 memory: 5150 grad_norm: 8.2784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3953 loss: 1.3953 2022/06/28 22:54:26 - mmengine - INFO - Epoch(train) [78][2620/3757] lr: 1.000e-03 eta: 6:11:37 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.9166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0202 loss: 1.0202 2022/06/28 22:54:31 - mmengine - INFO - Epoch(train) [78][2640/3757] lr: 1.000e-03 eta: 6:11:32 time: 0.406 data_time: 0.008 memory: 5150 grad_norm: 9.8076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2296 loss: 1.2296 2022/06/28 22:54:36 - mmengine - INFO - Epoch(train) [78][2660/3757] lr: 1.000e-03 eta: 6:11:27 time: 0.494 data_time: 0.013 memory: 5150 grad_norm: 8.7215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1752 loss: 1.1752 2022/06/28 22:54:41 - mmengine - INFO - Epoch(train) [78][2680/3757] lr: 1.000e-03 eta: 6:11:21 time: 0.227 data_time: 0.015 memory: 5150 grad_norm: 8.7149 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6177 loss: 1.6177 2022/06/28 22:54:46 - mmengine - INFO - Epoch(train) [78][2700/3757] lr: 1.000e-03 eta: 6:11:16 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 8.3103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2567 loss: 1.2567 2022/06/28 22:54:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:54:52 - mmengine - INFO - Epoch(train) [78][2720/3757] lr: 1.000e-03 eta: 6:11:11 time: 0.727 data_time: 0.010 memory: 5150 grad_norm: 8.9573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/06/28 22:54:57 - mmengine - INFO - Epoch(train) [78][2740/3757] lr: 1.000e-03 eta: 6:11:05 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.9548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1661 loss: 1.1661 2022/06/28 22:55:03 - mmengine - INFO - Epoch(train) [78][2760/3757] lr: 1.000e-03 eta: 6:11:00 time: 0.214 data_time: 0.020 memory: 5150 grad_norm: 9.4849 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2215 loss: 1.2215 2022/06/28 22:55:08 - mmengine - INFO - Epoch(train) [78][2780/3757] lr: 1.000e-03 eta: 6:10:55 time: 1.143 data_time: 0.019 memory: 5150 grad_norm: 9.9733 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2717 loss: 1.2717 2022/06/28 22:55:13 - mmengine - INFO - Epoch(train) [78][2800/3757] lr: 1.000e-03 eta: 6:10:49 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.6004 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3693 loss: 1.3693 2022/06/28 22:55:18 - mmengine - INFO - Epoch(train) [78][2820/3757] lr: 1.000e-03 eta: 6:10:44 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 8.6786 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8405 loss: 1.8405 2022/06/28 22:55:24 - mmengine - INFO - Epoch(train) [78][2840/3757] lr: 1.000e-03 eta: 6:10:39 time: 0.966 data_time: 0.015 memory: 5150 grad_norm: 7.9871 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3027 loss: 1.3027 2022/06/28 22:55:29 - mmengine - INFO - Epoch(train) [78][2860/3757] lr: 1.000e-03 eta: 6:10:33 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.7419 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/06/28 22:55:34 - mmengine - INFO - Epoch(train) [78][2880/3757] lr: 1.000e-03 eta: 6:10:28 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.4341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5790 loss: 1.5790 2022/06/28 22:55:40 - mmengine - INFO - Epoch(train) [78][2900/3757] lr: 1.000e-03 eta: 6:10:23 time: 0.405 data_time: 0.012 memory: 5150 grad_norm: 9.2265 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/06/28 22:55:45 - mmengine - INFO - Epoch(train) [78][2920/3757] lr: 1.000e-03 eta: 6:10:17 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.6777 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2595 loss: 1.2595 2022/06/28 22:55:50 - mmengine - INFO - Epoch(train) [78][2940/3757] lr: 1.000e-03 eta: 6:10:12 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.2211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/06/28 22:55:55 - mmengine - INFO - Epoch(train) [78][2960/3757] lr: 1.000e-03 eta: 6:10:07 time: 0.932 data_time: 0.014 memory: 5150 grad_norm: 9.9647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1989 loss: 1.1989 2022/06/28 22:56:00 - mmengine - INFO - Epoch(train) [78][2980/3757] lr: 1.000e-03 eta: 6:10:01 time: 0.216 data_time: 0.010 memory: 5150 grad_norm: 8.7147 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2375 loss: 1.2375 2022/06/28 22:56:05 - mmengine - INFO - Epoch(train) [78][3000/3757] lr: 1.000e-03 eta: 6:09:56 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.6424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0345 loss: 1.0345 2022/06/28 22:56:11 - mmengine - INFO - Epoch(train) [78][3020/3757] lr: 1.000e-03 eta: 6:09:51 time: 0.550 data_time: 0.012 memory: 5150 grad_norm: 9.5288 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6038 loss: 1.6038 2022/06/28 22:56:16 - mmengine - INFO - Epoch(train) [78][3040/3757] lr: 1.000e-03 eta: 6:09:45 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.9597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5156 loss: 1.5156 2022/06/28 22:56:21 - mmengine - INFO - Epoch(train) [78][3060/3757] lr: 1.000e-03 eta: 6:09:40 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.5215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6247 loss: 1.6247 2022/06/28 22:56:27 - mmengine - INFO - Epoch(train) [78][3080/3757] lr: 1.000e-03 eta: 6:09:34 time: 0.754 data_time: 0.007 memory: 5150 grad_norm: 7.5932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2716 loss: 1.2716 2022/06/28 22:56:31 - mmengine - INFO - Epoch(train) [78][3100/3757] lr: 1.000e-03 eta: 6:09:29 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 9.6988 top1_acc: 0.3750 top5_acc: 0.3750 loss_cls: 1.6024 loss: 1.6024 2022/06/28 22:56:37 - mmengine - INFO - Epoch(train) [78][3120/3757] lr: 1.000e-03 eta: 6:09:24 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.2651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2664 loss: 1.2664 2022/06/28 22:56:43 - mmengine - INFO - Epoch(train) [78][3140/3757] lr: 1.000e-03 eta: 6:09:19 time: 1.205 data_time: 0.009 memory: 5150 grad_norm: 8.1997 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1936 loss: 1.1936 2022/06/28 22:56:48 - mmengine - INFO - Epoch(train) [78][3160/3757] lr: 1.000e-03 eta: 6:09:13 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.8416 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4861 loss: 1.4861 2022/06/28 22:56:53 - mmengine - INFO - Epoch(train) [78][3180/3757] lr: 1.000e-03 eta: 6:09:08 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.0244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5400 loss: 1.5400 2022/06/28 22:56:59 - mmengine - INFO - Epoch(train) [78][3200/3757] lr: 1.000e-03 eta: 6:09:03 time: 0.806 data_time: 0.008 memory: 5150 grad_norm: 8.8393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/06/28 22:57:04 - mmengine - INFO - Epoch(train) [78][3220/3757] lr: 1.000e-03 eta: 6:08:57 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.5380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2140 loss: 1.2140 2022/06/28 22:57:09 - mmengine - INFO - Epoch(train) [78][3240/3757] lr: 1.000e-03 eta: 6:08:52 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.9782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/06/28 22:57:14 - mmengine - INFO - Epoch(train) [78][3260/3757] lr: 1.000e-03 eta: 6:08:46 time: 0.927 data_time: 0.011 memory: 5150 grad_norm: 8.8698 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2808 loss: 1.2808 2022/06/28 22:57:20 - mmengine - INFO - Epoch(train) [78][3280/3757] lr: 1.000e-03 eta: 6:08:41 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 7.5644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/06/28 22:57:25 - mmengine - INFO - Epoch(train) [78][3300/3757] lr: 1.000e-03 eta: 6:08:36 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.6201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3692 loss: 1.3692 2022/06/28 22:57:30 - mmengine - INFO - Epoch(train) [78][3320/3757] lr: 1.000e-03 eta: 6:08:30 time: 0.567 data_time: 0.007 memory: 5150 grad_norm: 9.9950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9725 loss: 0.9725 2022/06/28 22:57:36 - mmengine - INFO - Epoch(train) [78][3340/3757] lr: 1.000e-03 eta: 6:08:25 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 9.5517 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2790 loss: 1.2790 2022/06/28 22:57:41 - mmengine - INFO - Epoch(train) [78][3360/3757] lr: 1.000e-03 eta: 6:08:20 time: 0.313 data_time: 0.007 memory: 5150 grad_norm: 8.0101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3637 loss: 1.3637 2022/06/28 22:57:46 - mmengine - INFO - Epoch(train) [78][3380/3757] lr: 1.000e-03 eta: 6:08:15 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.0950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1041 loss: 1.1041 2022/06/28 22:57:52 - mmengine - INFO - Epoch(train) [78][3400/3757] lr: 1.000e-03 eta: 6:08:09 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 7.5002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2030 loss: 1.2030 2022/06/28 22:57:58 - mmengine - INFO - Epoch(train) [78][3420/3757] lr: 1.000e-03 eta: 6:08:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.3460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2737 loss: 1.2737 2022/06/28 22:58:03 - mmengine - INFO - Epoch(train) [78][3440/3757] lr: 1.000e-03 eta: 6:07:59 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.5399 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8531 loss: 0.8531 2022/06/28 22:58:08 - mmengine - INFO - Epoch(train) [78][3460/3757] lr: 1.000e-03 eta: 6:07:53 time: 0.227 data_time: 0.031 memory: 5150 grad_norm: 9.9504 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2047 loss: 1.2047 2022/06/28 22:58:13 - mmengine - INFO - Epoch(train) [78][3480/3757] lr: 1.000e-03 eta: 6:07:48 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.7665 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4448 loss: 1.4448 2022/06/28 22:58:19 - mmengine - INFO - Epoch(train) [78][3500/3757] lr: 1.000e-03 eta: 6:07:43 time: 0.219 data_time: 0.013 memory: 5150 grad_norm: 8.9972 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4906 loss: 1.4906 2022/06/28 22:58:24 - mmengine - INFO - Epoch(train) [78][3520/3757] lr: 1.000e-03 eta: 6:07:37 time: 0.224 data_time: 0.014 memory: 5150 grad_norm: 9.3748 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9959 loss: 0.9959 2022/06/28 22:58:30 - mmengine - INFO - Epoch(train) [78][3540/3757] lr: 1.000e-03 eta: 6:07:32 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 9.3904 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0010 loss: 1.0010 2022/06/28 22:58:35 - mmengine - INFO - Epoch(train) [78][3560/3757] lr: 1.000e-03 eta: 6:07:27 time: 0.201 data_time: 0.006 memory: 5150 grad_norm: 8.9685 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4018 loss: 1.4018 2022/06/28 22:58:40 - mmengine - INFO - Epoch(train) [78][3580/3757] lr: 1.000e-03 eta: 6:07:21 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.5558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/06/28 22:58:45 - mmengine - INFO - Epoch(train) [78][3600/3757] lr: 1.000e-03 eta: 6:07:16 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.8833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4316 loss: 1.4316 2022/06/28 22:58:51 - mmengine - INFO - Epoch(train) [78][3620/3757] lr: 1.000e-03 eta: 6:07:11 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.5084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9849 loss: 0.9849 2022/06/28 22:58:56 - mmengine - INFO - Epoch(train) [78][3640/3757] lr: 1.000e-03 eta: 6:07:05 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.7568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9124 loss: 0.9124 2022/06/28 22:59:01 - mmengine - INFO - Epoch(train) [78][3660/3757] lr: 1.000e-03 eta: 6:07:00 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.1780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7524 loss: 1.7524 2022/06/28 22:59:06 - mmengine - INFO - Epoch(train) [78][3680/3757] lr: 1.000e-03 eta: 6:06:55 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.6080 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/06/28 22:59:11 - mmengine - INFO - Epoch(train) [78][3700/3757] lr: 1.000e-03 eta: 6:06:49 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 10.0282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1215 loss: 1.1215 2022/06/28 22:59:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 22:59:17 - mmengine - INFO - Epoch(train) [78][3720/3757] lr: 1.000e-03 eta: 6:06:44 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.0044 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1582 loss: 1.1582 2022/06/28 22:59:22 - mmengine - INFO - Epoch(train) [78][3740/3757] lr: 1.000e-03 eta: 6:06:38 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 8.5012 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4305 loss: 1.4305 2022/06/28 22:59:26 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:00:00 - mmengine - INFO - Epoch(val) [78][20/310] eta: 0:05:37 time: 1.004 data_time: 0.358 memory: 9746 2022/06/28 23:00:21 - mmengine - INFO - Epoch(val) [78][40/310] eta: 0:04:55 time: 1.026 data_time: 0.383 memory: 9746 2022/06/28 23:00:44 - mmengine - INFO - Epoch(val) [78][60/310] eta: 0:04:17 time: 1.059 data_time: 0.424 memory: 9746 2022/06/28 23:01:08 - mmengine - INFO - Epoch(val) [78][80/310] eta: 0:04:53 time: 1.064 data_time: 0.434 memory: 9746 2022/06/28 23:01:31 - mmengine - INFO - Epoch(val) [78][100/310] eta: 0:04:03 time: 2.563 data_time: 1.881 memory: 9746 2022/06/28 23:01:53 - mmengine - INFO - Epoch(val) [78][120/310] eta: 0:03:24 time: 1.100 data_time: 0.442 memory: 9746 2022/06/28 23:02:18 - mmengine - INFO - Epoch(val) [78][140/310] eta: 0:03:27 time: 1.062 data_time: 0.427 memory: 9746 2022/06/28 23:02:42 - mmengine - INFO - Epoch(val) [78][160/310] eta: 0:03:09 time: 2.923 data_time: 2.235 memory: 9746 2022/06/28 23:03:05 - mmengine - INFO - Epoch(val) [78][180/310] eta: 0:02:42 time: 1.040 data_time: 0.377 memory: 9746 2022/06/28 23:03:28 - mmengine - INFO - Epoch(val) [78][200/310] eta: 0:02:10 time: 1.131 data_time: 0.478 memory: 9746 2022/06/28 23:03:50 - mmengine - INFO - Epoch(val) [78][220/310] eta: 0:01:38 time: 1.015 data_time: 0.383 memory: 9746 2022/06/28 23:04:11 - mmengine - INFO - Epoch(val) [78][240/310] eta: 0:01:13 time: 1.045 data_time: 0.398 memory: 9746 2022/06/28 23:04:33 - mmengine - INFO - Epoch(val) [78][260/310] eta: 0:00:53 time: 0.991 data_time: 0.351 memory: 9746 2022/06/28 23:04:57 - mmengine - INFO - Epoch(val) [78][280/310] eta: 0:00:35 time: 2.015 data_time: 1.359 memory: 9746 2022/06/28 23:05:16 - mmengine - INFO - Epoch(val) [78][300/310] eta: 0:00:08 time: 0.655 data_time: 0.084 memory: 9746 2022/06/28 23:05:29 - mmengine - INFO - Epoch(val) [78][310/310] acc/top1: 0.7072 acc/top5: 0.8988 acc/mean1: 0.7072 2022/06/28 23:05:38 - mmengine - INFO - Epoch(train) [79][20/3757] lr: 1.000e-03 eta: 6:06:29 time: 0.201 data_time: 0.008 memory: 9746 grad_norm: 8.4769 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3040 loss: 1.3040 2022/06/28 23:05:43 - mmengine - INFO - Epoch(train) [79][40/3757] lr: 1.000e-03 eta: 6:06:24 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 7.2227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1605 loss: 1.1605 2022/06/28 23:05:48 - mmengine - INFO - Epoch(train) [79][60/3757] lr: 1.000e-03 eta: 6:06:18 time: 0.247 data_time: 0.010 memory: 5150 grad_norm: 8.5313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3973 loss: 1.3973 2022/06/28 23:05:54 - mmengine - INFO - Epoch(train) [79][80/3757] lr: 1.000e-03 eta: 6:06:13 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.9619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3539 loss: 1.3539 2022/06/28 23:06:00 - mmengine - INFO - Epoch(train) [79][100/3757] lr: 1.000e-03 eta: 6:06:08 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.4847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1497 loss: 1.1497 2022/06/28 23:06:05 - mmengine - INFO - Epoch(train) [79][120/3757] lr: 1.000e-03 eta: 6:06:02 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.7922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2073 loss: 1.2073 2022/06/28 23:06:11 - mmengine - INFO - Epoch(train) [79][140/3757] lr: 1.000e-03 eta: 6:05:57 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 8.3837 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5997 loss: 1.5997 2022/06/28 23:06:16 - mmengine - INFO - Epoch(train) [79][160/3757] lr: 1.000e-03 eta: 6:05:52 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.3712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4773 loss: 1.4773 2022/06/28 23:06:21 - mmengine - INFO - Epoch(train) [79][180/3757] lr: 1.000e-03 eta: 6:05:46 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.3717 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9301 loss: 0.9301 2022/06/28 23:06:26 - mmengine - INFO - Epoch(train) [79][200/3757] lr: 1.000e-03 eta: 6:05:41 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.2273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0932 loss: 1.0932 2022/06/28 23:06:32 - mmengine - INFO - Epoch(train) [79][220/3757] lr: 1.000e-03 eta: 6:05:36 time: 0.221 data_time: 0.011 memory: 5150 grad_norm: 9.7883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1418 loss: 1.1418 2022/06/28 23:06:37 - mmengine - INFO - Epoch(train) [79][240/3757] lr: 1.000e-03 eta: 6:05:30 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.4123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4876 loss: 1.4876 2022/06/28 23:06:43 - mmengine - INFO - Epoch(train) [79][260/3757] lr: 1.000e-03 eta: 6:05:25 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.9567 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/06/28 23:06:48 - mmengine - INFO - Epoch(train) [79][280/3757] lr: 1.000e-03 eta: 6:05:20 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.3865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3296 loss: 1.3296 2022/06/28 23:06:53 - mmengine - INFO - Epoch(train) [79][300/3757] lr: 1.000e-03 eta: 6:05:15 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 8.7948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5206 loss: 1.5206 2022/06/28 23:06:58 - mmengine - INFO - Epoch(train) [79][320/3757] lr: 1.000e-03 eta: 6:05:09 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 8.7513 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2120 loss: 1.2120 2022/06/28 23:07:04 - mmengine - INFO - Epoch(train) [79][340/3757] lr: 1.000e-03 eta: 6:05:04 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 7.4960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3810 loss: 1.3810 2022/06/28 23:07:09 - mmengine - INFO - Epoch(train) [79][360/3757] lr: 1.000e-03 eta: 6:04:59 time: 0.332 data_time: 0.132 memory: 5150 grad_norm: 10.4698 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6293 loss: 1.6293 2022/06/28 23:07:14 - mmengine - INFO - Epoch(train) [79][380/3757] lr: 1.000e-03 eta: 6:04:53 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 7.6893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9943 loss: 0.9943 2022/06/28 23:07:20 - mmengine - INFO - Epoch(train) [79][400/3757] lr: 1.000e-03 eta: 6:04:48 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.0032 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2021 loss: 1.2021 2022/06/28 23:07:25 - mmengine - INFO - Epoch(train) [79][420/3757] lr: 1.000e-03 eta: 6:04:43 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 10.1144 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/06/28 23:07:31 - mmengine - INFO - Epoch(train) [79][440/3757] lr: 1.000e-03 eta: 6:04:37 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8093 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2608 loss: 1.2608 2022/06/28 23:07:36 - mmengine - INFO - Epoch(train) [79][460/3757] lr: 1.000e-03 eta: 6:04:32 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8429 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2357 loss: 1.2357 2022/06/28 23:07:41 - mmengine - INFO - Epoch(train) [79][480/3757] lr: 1.000e-03 eta: 6:04:27 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 7.6880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2303 loss: 1.2303 2022/06/28 23:07:47 - mmengine - INFO - Epoch(train) [79][500/3757] lr: 1.000e-03 eta: 6:04:21 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 8.5484 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2452 loss: 1.2452 2022/06/28 23:07:52 - mmengine - INFO - Epoch(train) [79][520/3757] lr: 1.000e-03 eta: 6:04:16 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 8.7422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0745 loss: 1.0745 2022/06/28 23:07:57 - mmengine - INFO - Epoch(train) [79][540/3757] lr: 1.000e-03 eta: 6:04:11 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.5259 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6310 loss: 1.6310 2022/06/28 23:08:03 - mmengine - INFO - Epoch(train) [79][560/3757] lr: 1.000e-03 eta: 6:04:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2953 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/06/28 23:08:09 - mmengine - INFO - Epoch(train) [79][580/3757] lr: 1.000e-03 eta: 6:04:00 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 10.1522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9009 loss: 0.9009 2022/06/28 23:08:13 - mmengine - INFO - Epoch(train) [79][600/3757] lr: 1.000e-03 eta: 6:03:55 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.3619 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9745 loss: 0.9745 2022/06/28 23:08:18 - mmengine - INFO - Epoch(train) [79][620/3757] lr: 1.000e-03 eta: 6:03:49 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.5156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/06/28 23:08:24 - mmengine - INFO - Epoch(train) [79][640/3757] lr: 1.000e-03 eta: 6:03:44 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 10.1010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/06/28 23:08:29 - mmengine - INFO - Epoch(train) [79][660/3757] lr: 1.000e-03 eta: 6:03:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.8311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2306 loss: 1.2306 2022/06/28 23:08:35 - mmengine - INFO - Epoch(train) [79][680/3757] lr: 1.000e-03 eta: 6:03:34 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 8.4500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0943 loss: 1.0943 2022/06/28 23:08:40 - mmengine - INFO - Epoch(train) [79][700/3757] lr: 1.000e-03 eta: 6:03:28 time: 0.205 data_time: 0.018 memory: 5150 grad_norm: 9.6969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2201 loss: 1.2201 2022/06/28 23:08:45 - mmengine - INFO - Epoch(train) [79][720/3757] lr: 1.000e-03 eta: 6:03:23 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 7.9501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1557 loss: 1.1557 2022/06/28 23:08:51 - mmengine - INFO - Epoch(train) [79][740/3757] lr: 1.000e-03 eta: 6:03:17 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.8236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0671 loss: 1.0671 2022/06/28 23:08:56 - mmengine - INFO - Epoch(train) [79][760/3757] lr: 1.000e-03 eta: 6:03:12 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 8.0817 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5269 loss: 1.5269 2022/06/28 23:09:01 - mmengine - INFO - Epoch(train) [79][780/3757] lr: 1.000e-03 eta: 6:03:07 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.5536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1139 loss: 1.1139 2022/06/28 23:09:06 - mmengine - INFO - Epoch(train) [79][800/3757] lr: 1.000e-03 eta: 6:03:01 time: 0.223 data_time: 0.009 memory: 5150 grad_norm: 10.1288 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2608 loss: 1.2608 2022/06/28 23:09:12 - mmengine - INFO - Epoch(train) [79][820/3757] lr: 1.000e-03 eta: 6:02:56 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 10.3263 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 1.4503 loss: 1.4503 2022/06/28 23:09:17 - mmengine - INFO - Epoch(train) [79][840/3757] lr: 1.000e-03 eta: 6:02:51 time: 0.213 data_time: 0.016 memory: 5150 grad_norm: 8.4285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1040 loss: 1.1040 2022/06/28 23:09:22 - mmengine - INFO - Epoch(train) [79][860/3757] lr: 1.000e-03 eta: 6:02:45 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 8.5659 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1662 loss: 1.1662 2022/06/28 23:09:28 - mmengine - INFO - Epoch(train) [79][880/3757] lr: 1.000e-03 eta: 6:02:40 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.0099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2616 loss: 1.2616 2022/06/28 23:09:33 - mmengine - INFO - Epoch(train) [79][900/3757] lr: 1.000e-03 eta: 6:02:35 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.8068 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4850 loss: 1.4850 2022/06/28 23:09:38 - mmengine - INFO - Epoch(train) [79][920/3757] lr: 1.000e-03 eta: 6:02:30 time: 0.419 data_time: 0.008 memory: 5150 grad_norm: 7.2856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/06/28 23:09:44 - mmengine - INFO - Epoch(train) [79][940/3757] lr: 1.000e-03 eta: 6:02:24 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.2357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/06/28 23:09:48 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:09:49 - mmengine - INFO - Epoch(train) [79][960/3757] lr: 1.000e-03 eta: 6:02:19 time: 0.254 data_time: 0.007 memory: 5150 grad_norm: 10.0910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1088 loss: 1.1088 2022/06/28 23:09:55 - mmengine - INFO - Epoch(train) [79][980/3757] lr: 1.000e-03 eta: 6:02:14 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.2950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5319 loss: 1.5319 2022/06/28 23:10:00 - mmengine - INFO - Epoch(train) [79][1000/3757] lr: 1.000e-03 eta: 6:02:08 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.4078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5385 loss: 1.5385 2022/06/28 23:10:05 - mmengine - INFO - Epoch(train) [79][1020/3757] lr: 1.000e-03 eta: 6:02:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 10.0852 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3716 loss: 1.3716 2022/06/28 23:10:11 - mmengine - INFO - Epoch(train) [79][1040/3757] lr: 1.000e-03 eta: 6:01:58 time: 0.225 data_time: 0.009 memory: 5150 grad_norm: 9.7653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1951 loss: 1.1951 2022/06/28 23:10:16 - mmengine - INFO - Epoch(train) [79][1060/3757] lr: 1.000e-03 eta: 6:01:52 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.7887 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3217 loss: 1.3217 2022/06/28 23:10:21 - mmengine - INFO - Epoch(train) [79][1080/3757] lr: 1.000e-03 eta: 6:01:47 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.8591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6106 loss: 1.6106 2022/06/28 23:10:27 - mmengine - INFO - Epoch(train) [79][1100/3757] lr: 1.000e-03 eta: 6:01:42 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 8.8013 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8460 loss: 0.8460 2022/06/28 23:10:32 - mmengine - INFO - Epoch(train) [79][1120/3757] lr: 1.000e-03 eta: 6:01:36 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 8.0951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/06/28 23:10:37 - mmengine - INFO - Epoch(train) [79][1140/3757] lr: 1.000e-03 eta: 6:01:31 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.1010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2885 loss: 1.2885 2022/06/28 23:10:43 - mmengine - INFO - Epoch(train) [79][1160/3757] lr: 1.000e-03 eta: 6:01:26 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 9.3272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0393 loss: 1.0393 2022/06/28 23:10:49 - mmengine - INFO - Epoch(train) [79][1180/3757] lr: 1.000e-03 eta: 6:01:21 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 8.8794 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1431 loss: 1.1431 2022/06/28 23:10:53 - mmengine - INFO - Epoch(train) [79][1200/3757] lr: 1.000e-03 eta: 6:01:15 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.6591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/06/28 23:10:59 - mmengine - INFO - Epoch(train) [79][1220/3757] lr: 1.000e-03 eta: 6:01:10 time: 0.241 data_time: 0.008 memory: 5150 grad_norm: 11.0001 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1343 loss: 1.1343 2022/06/28 23:11:05 - mmengine - INFO - Epoch(train) [79][1240/3757] lr: 1.000e-03 eta: 6:01:05 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.7581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1084 loss: 1.1084 2022/06/28 23:11:10 - mmengine - INFO - Epoch(train) [79][1260/3757] lr: 1.000e-03 eta: 6:00:59 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 10.2381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/06/28 23:11:15 - mmengine - INFO - Epoch(train) [79][1280/3757] lr: 1.000e-03 eta: 6:00:54 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.6457 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6218 loss: 1.6218 2022/06/28 23:11:21 - mmengine - INFO - Epoch(train) [79][1300/3757] lr: 1.000e-03 eta: 6:00:49 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 8.1879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1696 loss: 1.1696 2022/06/28 23:11:25 - mmengine - INFO - Epoch(train) [79][1320/3757] lr: 1.000e-03 eta: 6:00:43 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 8.8655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1624 loss: 1.1624 2022/06/28 23:11:31 - mmengine - INFO - Epoch(train) [79][1340/3757] lr: 1.000e-03 eta: 6:00:38 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.5197 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1941 loss: 1.1941 2022/06/28 23:11:36 - mmengine - INFO - Epoch(train) [79][1360/3757] lr: 1.000e-03 eta: 6:00:33 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 10.5631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0544 loss: 1.0544 2022/06/28 23:11:41 - mmengine - INFO - Epoch(train) [79][1380/3757] lr: 1.000e-03 eta: 6:00:27 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 6.9415 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0039 loss: 1.0039 2022/06/28 23:11:46 - mmengine - INFO - Epoch(train) [79][1400/3757] lr: 1.000e-03 eta: 6:00:22 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 10.9751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2757 loss: 1.2757 2022/06/28 23:11:52 - mmengine - INFO - Epoch(train) [79][1420/3757] lr: 1.000e-03 eta: 6:00:16 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.7300 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2599 loss: 1.2599 2022/06/28 23:11:57 - mmengine - INFO - Epoch(train) [79][1440/3757] lr: 1.000e-03 eta: 6:00:11 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.2880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2258 loss: 1.2258 2022/06/28 23:12:02 - mmengine - INFO - Epoch(train) [79][1460/3757] lr: 1.000e-03 eta: 6:00:06 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.8793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5457 loss: 1.5457 2022/06/28 23:12:07 - mmengine - INFO - Epoch(train) [79][1480/3757] lr: 1.000e-03 eta: 6:00:00 time: 0.408 data_time: 0.007 memory: 5150 grad_norm: 7.2259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0553 loss: 1.0553 2022/06/28 23:12:12 - mmengine - INFO - Epoch(train) [79][1500/3757] lr: 1.000e-03 eta: 5:59:55 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 9.4198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3360 loss: 1.3360 2022/06/28 23:12:18 - mmengine - INFO - Epoch(train) [79][1520/3757] lr: 1.000e-03 eta: 5:59:50 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.1349 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2831 loss: 1.2831 2022/06/28 23:12:23 - mmengine - INFO - Epoch(train) [79][1540/3757] lr: 1.000e-03 eta: 5:59:44 time: 0.314 data_time: 0.013 memory: 5150 grad_norm: 8.4921 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2092 loss: 1.2092 2022/06/28 23:12:28 - mmengine - INFO - Epoch(train) [79][1560/3757] lr: 1.000e-03 eta: 5:59:39 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 8.4826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9534 loss: 0.9534 2022/06/28 23:12:34 - mmengine - INFO - Epoch(train) [79][1580/3757] lr: 1.000e-03 eta: 5:59:34 time: 0.525 data_time: 0.007 memory: 5150 grad_norm: 8.6016 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3605 loss: 1.3605 2022/06/28 23:12:39 - mmengine - INFO - Epoch(train) [79][1600/3757] lr: 1.000e-03 eta: 5:59:28 time: 0.257 data_time: 0.030 memory: 5150 grad_norm: 8.3438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1803 loss: 1.1803 2022/06/28 23:12:45 - mmengine - INFO - Epoch(train) [79][1620/3757] lr: 1.000e-03 eta: 5:59:23 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 7.5697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0338 loss: 1.0338 2022/06/28 23:12:50 - mmengine - INFO - Epoch(train) [79][1640/3757] lr: 1.000e-03 eta: 5:59:18 time: 0.216 data_time: 0.006 memory: 5150 grad_norm: 9.7725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2197 loss: 1.2197 2022/06/28 23:12:56 - mmengine - INFO - Epoch(train) [79][1660/3757] lr: 1.000e-03 eta: 5:59:13 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 9.7136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/06/28 23:13:01 - mmengine - INFO - Epoch(train) [79][1680/3757] lr: 1.000e-03 eta: 5:59:07 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 9.1155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9153 loss: 0.9153 2022/06/28 23:13:06 - mmengine - INFO - Epoch(train) [79][1700/3757] lr: 1.000e-03 eta: 5:59:02 time: 0.278 data_time: 0.007 memory: 5150 grad_norm: 7.7681 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0836 loss: 1.0836 2022/06/28 23:13:12 - mmengine - INFO - Epoch(train) [79][1720/3757] lr: 1.000e-03 eta: 5:58:57 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 8.6360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0727 loss: 1.0727 2022/06/28 23:13:17 - mmengine - INFO - Epoch(train) [79][1740/3757] lr: 1.000e-03 eta: 5:58:51 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 7.8938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/06/28 23:13:23 - mmengine - INFO - Epoch(train) [79][1760/3757] lr: 1.000e-03 eta: 5:58:46 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.7093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1012 loss: 1.1012 2022/06/28 23:13:28 - mmengine - INFO - Epoch(train) [79][1780/3757] lr: 1.000e-03 eta: 5:58:41 time: 0.210 data_time: 0.033 memory: 5150 grad_norm: 8.8773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2858 loss: 1.2858 2022/06/28 23:13:33 - mmengine - INFO - Epoch(train) [79][1800/3757] lr: 1.000e-03 eta: 5:58:35 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 8.8089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/06/28 23:13:39 - mmengine - INFO - Epoch(train) [79][1820/3757] lr: 1.000e-03 eta: 5:58:30 time: 0.750 data_time: 0.007 memory: 5150 grad_norm: 8.1798 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4541 loss: 1.4541 2022/06/28 23:13:44 - mmengine - INFO - Epoch(train) [79][1840/3757] lr: 1.000e-03 eta: 5:58:25 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 9.8779 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2498 loss: 1.2498 2022/06/28 23:13:50 - mmengine - INFO - Epoch(train) [79][1860/3757] lr: 1.000e-03 eta: 5:58:19 time: 0.203 data_time: 0.022 memory: 5150 grad_norm: 9.2652 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1566 loss: 1.1566 2022/06/28 23:13:55 - mmengine - INFO - Epoch(train) [79][1880/3757] lr: 1.000e-03 eta: 5:58:14 time: 0.746 data_time: 0.008 memory: 5150 grad_norm: 9.1283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/06/28 23:14:01 - mmengine - INFO - Epoch(train) [79][1900/3757] lr: 1.000e-03 eta: 5:58:09 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.0847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1453 loss: 1.1453 2022/06/28 23:14:06 - mmengine - INFO - Epoch(train) [79][1920/3757] lr: 1.000e-03 eta: 5:58:04 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 8.7675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/06/28 23:14:11 - mmengine - INFO - Epoch(train) [79][1940/3757] lr: 1.000e-03 eta: 5:57:58 time: 1.131 data_time: 0.012 memory: 5150 grad_norm: 8.5732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/06/28 23:14:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:14:16 - mmengine - INFO - Epoch(train) [79][1960/3757] lr: 1.000e-03 eta: 5:57:53 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.4266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/06/28 23:14:21 - mmengine - INFO - Epoch(train) [79][1980/3757] lr: 1.000e-03 eta: 5:57:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.4259 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5894 loss: 1.5894 2022/06/28 23:14:27 - mmengine - INFO - Epoch(train) [79][2000/3757] lr: 1.000e-03 eta: 5:57:42 time: 1.127 data_time: 0.012 memory: 5150 grad_norm: 9.4081 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3864 loss: 1.3864 2022/06/28 23:14:32 - mmengine - INFO - Epoch(train) [79][2020/3757] lr: 1.000e-03 eta: 5:57:37 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 10.2331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5721 loss: 1.5721 2022/06/28 23:14:38 - mmengine - INFO - Epoch(train) [79][2040/3757] lr: 1.000e-03 eta: 5:57:32 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 10.6619 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3063 loss: 1.3063 2022/06/28 23:14:43 - mmengine - INFO - Epoch(train) [79][2060/3757] lr: 1.000e-03 eta: 5:57:26 time: 0.811 data_time: 0.008 memory: 5150 grad_norm: 9.8252 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4832 loss: 1.4832 2022/06/28 23:14:48 - mmengine - INFO - Epoch(train) [79][2080/3757] lr: 1.000e-03 eta: 5:57:21 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.6768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3005 loss: 1.3005 2022/06/28 23:14:53 - mmengine - INFO - Epoch(train) [79][2100/3757] lr: 1.000e-03 eta: 5:57:15 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.9932 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2669 loss: 1.2669 2022/06/28 23:14:58 - mmengine - INFO - Epoch(train) [79][2120/3757] lr: 1.000e-03 eta: 5:57:10 time: 0.287 data_time: 0.011 memory: 5150 grad_norm: 8.8550 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1341 loss: 1.1341 2022/06/28 23:15:04 - mmengine - INFO - Epoch(train) [79][2140/3757] lr: 1.000e-03 eta: 5:57:05 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.3697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/06/28 23:15:09 - mmengine - INFO - Epoch(train) [79][2160/3757] lr: 1.000e-03 eta: 5:56:59 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.8976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2011 loss: 1.2011 2022/06/28 23:15:15 - mmengine - INFO - Epoch(train) [79][2180/3757] lr: 1.000e-03 eta: 5:56:54 time: 0.605 data_time: 0.008 memory: 5150 grad_norm: 7.8538 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5853 loss: 1.5853 2022/06/28 23:15:20 - mmengine - INFO - Epoch(train) [79][2200/3757] lr: 1.000e-03 eta: 5:56:49 time: 0.294 data_time: 0.014 memory: 5150 grad_norm: 7.8556 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/06/28 23:15:25 - mmengine - INFO - Epoch(train) [79][2220/3757] lr: 1.000e-03 eta: 5:56:43 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 8.9002 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4235 loss: 1.4235 2022/06/28 23:15:31 - mmengine - INFO - Epoch(train) [79][2240/3757] lr: 1.000e-03 eta: 5:56:38 time: 0.552 data_time: 0.008 memory: 5150 grad_norm: 8.7732 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2742 loss: 1.2742 2022/06/28 23:15:36 - mmengine - INFO - Epoch(train) [79][2260/3757] lr: 1.000e-03 eta: 5:56:33 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.2211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2932 loss: 1.2932 2022/06/28 23:15:41 - mmengine - INFO - Epoch(train) [79][2280/3757] lr: 1.000e-03 eta: 5:56:28 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.5268 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/06/28 23:15:47 - mmengine - INFO - Epoch(train) [79][2300/3757] lr: 1.000e-03 eta: 5:56:22 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 8.7070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/06/28 23:15:52 - mmengine - INFO - Epoch(train) [79][2320/3757] lr: 1.000e-03 eta: 5:56:17 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.4363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/06/28 23:15:57 - mmengine - INFO - Epoch(train) [79][2340/3757] lr: 1.000e-03 eta: 5:56:12 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.3001 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5973 loss: 1.5973 2022/06/28 23:16:03 - mmengine - INFO - Epoch(train) [79][2360/3757] lr: 1.000e-03 eta: 5:56:06 time: 0.271 data_time: 0.007 memory: 5150 grad_norm: 8.7351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8504 loss: 0.8504 2022/06/28 23:16:08 - mmengine - INFO - Epoch(train) [79][2380/3757] lr: 1.000e-03 eta: 5:56:01 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.4866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/28 23:16:14 - mmengine - INFO - Epoch(train) [79][2400/3757] lr: 1.000e-03 eta: 5:55:56 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.6433 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.4151 loss: 1.4151 2022/06/28 23:16:19 - mmengine - INFO - Epoch(train) [79][2420/3757] lr: 1.000e-03 eta: 5:55:50 time: 0.615 data_time: 0.008 memory: 5150 grad_norm: 8.7586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1964 loss: 1.1964 2022/06/28 23:16:24 - mmengine - INFO - Epoch(train) [79][2440/3757] lr: 1.000e-03 eta: 5:55:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.4182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/06/28 23:16:29 - mmengine - INFO - Epoch(train) [79][2460/3757] lr: 1.000e-03 eta: 5:55:40 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.6181 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5087 loss: 1.5087 2022/06/28 23:16:34 - mmengine - INFO - Epoch(train) [79][2480/3757] lr: 1.000e-03 eta: 5:55:34 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.7146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/06/28 23:16:40 - mmengine - INFO - Epoch(train) [79][2500/3757] lr: 1.000e-03 eta: 5:55:29 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.8074 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0893 loss: 1.0893 2022/06/28 23:16:46 - mmengine - INFO - Epoch(train) [79][2520/3757] lr: 1.000e-03 eta: 5:55:24 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.2168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/06/28 23:16:51 - mmengine - INFO - Epoch(train) [79][2540/3757] lr: 1.000e-03 eta: 5:55:18 time: 0.700 data_time: 0.008 memory: 5150 grad_norm: 8.7918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4144 loss: 1.4144 2022/06/28 23:16:56 - mmengine - INFO - Epoch(train) [79][2560/3757] lr: 1.000e-03 eta: 5:55:13 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/06/28 23:17:02 - mmengine - INFO - Epoch(train) [79][2580/3757] lr: 1.000e-03 eta: 5:55:08 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.4640 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2606 loss: 1.2606 2022/06/28 23:17:07 - mmengine - INFO - Epoch(train) [79][2600/3757] lr: 1.000e-03 eta: 5:55:03 time: 0.295 data_time: 0.008 memory: 5150 grad_norm: 8.8857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4096 loss: 1.4096 2022/06/28 23:17:12 - mmengine - INFO - Epoch(train) [79][2620/3757] lr: 1.000e-03 eta: 5:54:57 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.6520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1996 loss: 1.1996 2022/06/28 23:17:18 - mmengine - INFO - Epoch(train) [79][2640/3757] lr: 1.000e-03 eta: 5:54:52 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 8.6212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3648 loss: 1.3648 2022/06/28 23:17:23 - mmengine - INFO - Epoch(train) [79][2660/3757] lr: 1.000e-03 eta: 5:54:46 time: 0.296 data_time: 0.013 memory: 5150 grad_norm: 8.8436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1249 loss: 1.1249 2022/06/28 23:17:28 - mmengine - INFO - Epoch(train) [79][2680/3757] lr: 1.000e-03 eta: 5:54:41 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.9299 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4491 loss: 1.4491 2022/06/28 23:17:34 - mmengine - INFO - Epoch(train) [79][2700/3757] lr: 1.000e-03 eta: 5:54:36 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5089 loss: 1.5089 2022/06/28 23:17:39 - mmengine - INFO - Epoch(train) [79][2720/3757] lr: 1.000e-03 eta: 5:54:31 time: 1.087 data_time: 0.016 memory: 5150 grad_norm: 9.8127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3244 loss: 1.3244 2022/06/28 23:17:44 - mmengine - INFO - Epoch(train) [79][2740/3757] lr: 1.000e-03 eta: 5:54:25 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.7671 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4055 loss: 1.4055 2022/06/28 23:17:50 - mmengine - INFO - Epoch(train) [79][2760/3757] lr: 1.000e-03 eta: 5:54:20 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 10.3419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3053 loss: 1.3053 2022/06/28 23:17:55 - mmengine - INFO - Epoch(train) [79][2780/3757] lr: 1.000e-03 eta: 5:54:15 time: 0.875 data_time: 0.008 memory: 5150 grad_norm: 9.5823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0992 loss: 1.0992 2022/06/28 23:18:00 - mmengine - INFO - Epoch(train) [79][2800/3757] lr: 1.000e-03 eta: 5:54:09 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.5021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/06/28 23:18:06 - mmengine - INFO - Epoch(train) [79][2820/3757] lr: 1.000e-03 eta: 5:54:04 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.6111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3569 loss: 1.3569 2022/06/28 23:18:12 - mmengine - INFO - Epoch(train) [79][2840/3757] lr: 1.000e-03 eta: 5:53:59 time: 1.137 data_time: 0.008 memory: 5150 grad_norm: 9.8832 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2310 loss: 1.2310 2022/06/28 23:18:16 - mmengine - INFO - Epoch(train) [79][2860/3757] lr: 1.000e-03 eta: 5:53:53 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.0535 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4299 loss: 1.4299 2022/06/28 23:18:22 - mmengine - INFO - Epoch(train) [79][2880/3757] lr: 1.000e-03 eta: 5:53:48 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 10.8735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/06/28 23:18:27 - mmengine - INFO - Epoch(train) [79][2900/3757] lr: 1.000e-03 eta: 5:53:43 time: 0.971 data_time: 0.008 memory: 5150 grad_norm: 9.7104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2131 loss: 1.2131 2022/06/28 23:18:32 - mmengine - INFO - Epoch(train) [79][2920/3757] lr: 1.000e-03 eta: 5:53:37 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.2786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/06/28 23:18:38 - mmengine - INFO - Epoch(train) [79][2940/3757] lr: 1.000e-03 eta: 5:53:32 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.0461 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3447 loss: 1.3447 2022/06/28 23:18:41 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:18:43 - mmengine - INFO - Epoch(train) [79][2960/3757] lr: 1.000e-03 eta: 5:53:27 time: 0.319 data_time: 0.012 memory: 5150 grad_norm: 9.8437 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5507 loss: 1.5507 2022/06/28 23:18:49 - mmengine - INFO - Epoch(train) [79][2980/3757] lr: 1.000e-03 eta: 5:53:21 time: 0.233 data_time: 0.014 memory: 5150 grad_norm: 8.4401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/06/28 23:18:54 - mmengine - INFO - Epoch(train) [79][3000/3757] lr: 1.000e-03 eta: 5:53:16 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.1855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2156 loss: 1.2156 2022/06/28 23:18:59 - mmengine - INFO - Epoch(train) [79][3020/3757] lr: 1.000e-03 eta: 5:53:11 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.3788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4944 loss: 1.4944 2022/06/28 23:19:05 - mmengine - INFO - Epoch(train) [79][3040/3757] lr: 1.000e-03 eta: 5:53:05 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.5762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4115 loss: 1.4115 2022/06/28 23:19:10 - mmengine - INFO - Epoch(train) [79][3060/3757] lr: 1.000e-03 eta: 5:53:00 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.9600 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5498 loss: 1.5498 2022/06/28 23:19:15 - mmengine - INFO - Epoch(train) [79][3080/3757] lr: 1.000e-03 eta: 5:52:55 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.5059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9488 loss: 1.9488 2022/06/28 23:19:21 - mmengine - INFO - Epoch(train) [79][3100/3757] lr: 1.000e-03 eta: 5:52:49 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.9038 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3608 loss: 1.3608 2022/06/28 23:19:25 - mmengine - INFO - Epoch(train) [79][3120/3757] lr: 1.000e-03 eta: 5:52:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.2300 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/06/28 23:19:31 - mmengine - INFO - Epoch(train) [79][3140/3757] lr: 1.000e-03 eta: 5:52:39 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 10.5081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9633 loss: 0.9633 2022/06/28 23:19:36 - mmengine - INFO - Epoch(train) [79][3160/3757] lr: 1.000e-03 eta: 5:52:33 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 8.7321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5476 loss: 1.5476 2022/06/28 23:19:42 - mmengine - INFO - Epoch(train) [79][3180/3757] lr: 1.000e-03 eta: 5:52:28 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.9220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4388 loss: 1.4388 2022/06/28 23:19:47 - mmengine - INFO - Epoch(train) [79][3200/3757] lr: 1.000e-03 eta: 5:52:23 time: 0.193 data_time: 0.015 memory: 5150 grad_norm: 8.3868 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3868 loss: 1.3868 2022/06/28 23:19:52 - mmengine - INFO - Epoch(train) [79][3220/3757] lr: 1.000e-03 eta: 5:52:17 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.3544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8278 loss: 0.8278 2022/06/28 23:19:58 - mmengine - INFO - Epoch(train) [79][3240/3757] lr: 1.000e-03 eta: 5:52:12 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.4840 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6119 loss: 1.6119 2022/06/28 23:20:03 - mmengine - INFO - Epoch(train) [79][3260/3757] lr: 1.000e-03 eta: 5:52:07 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 8.1165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/06/28 23:20:09 - mmengine - INFO - Epoch(train) [79][3280/3757] lr: 1.000e-03 eta: 5:52:02 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.6174 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/06/28 23:20:14 - mmengine - INFO - Epoch(train) [79][3300/3757] lr: 1.000e-03 eta: 5:51:56 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 11.1382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1810 loss: 1.1810 2022/06/28 23:20:19 - mmengine - INFO - Epoch(train) [79][3320/3757] lr: 1.000e-03 eta: 5:51:51 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.8220 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/06/28 23:20:24 - mmengine - INFO - Epoch(train) [79][3340/3757] lr: 1.000e-03 eta: 5:51:46 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.8145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9381 loss: 0.9381 2022/06/28 23:20:29 - mmengine - INFO - Epoch(train) [79][3360/3757] lr: 1.000e-03 eta: 5:51:40 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.7483 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3681 loss: 1.3681 2022/06/28 23:20:34 - mmengine - INFO - Epoch(train) [79][3380/3757] lr: 1.000e-03 eta: 5:51:35 time: 0.374 data_time: 0.010 memory: 5150 grad_norm: 8.4363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/06/28 23:20:40 - mmengine - INFO - Epoch(train) [79][3400/3757] lr: 1.000e-03 eta: 5:51:29 time: 0.362 data_time: 0.011 memory: 5150 grad_norm: 8.8474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2312 loss: 1.2312 2022/06/28 23:20:45 - mmengine - INFO - Epoch(train) [79][3420/3757] lr: 1.000e-03 eta: 5:51:24 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.8613 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4340 loss: 1.4340 2022/06/28 23:20:50 - mmengine - INFO - Epoch(train) [79][3440/3757] lr: 1.000e-03 eta: 5:51:19 time: 0.545 data_time: 0.010 memory: 5150 grad_norm: 9.8759 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8127 loss: 0.8127 2022/06/28 23:20:55 - mmengine - INFO - Epoch(train) [79][3460/3757] lr: 1.000e-03 eta: 5:51:13 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.7301 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1210 loss: 1.1210 2022/06/28 23:21:01 - mmengine - INFO - Epoch(train) [79][3480/3757] lr: 1.000e-03 eta: 5:51:08 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.2944 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2856 loss: 1.2856 2022/06/28 23:21:07 - mmengine - INFO - Epoch(train) [79][3500/3757] lr: 1.000e-03 eta: 5:51:03 time: 0.768 data_time: 0.007 memory: 5150 grad_norm: 8.5712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5727 loss: 1.5727 2022/06/28 23:21:12 - mmengine - INFO - Epoch(train) [79][3520/3757] lr: 1.000e-03 eta: 5:50:57 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 10.5508 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3895 loss: 1.3895 2022/06/28 23:21:18 - mmengine - INFO - Epoch(train) [79][3540/3757] lr: 1.000e-03 eta: 5:50:52 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 8.4794 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/06/28 23:21:23 - mmengine - INFO - Epoch(train) [79][3560/3757] lr: 1.000e-03 eta: 5:50:47 time: 0.794 data_time: 0.009 memory: 5150 grad_norm: 8.6982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4324 loss: 1.4324 2022/06/28 23:21:28 - mmengine - INFO - Epoch(train) [79][3580/3757] lr: 1.000e-03 eta: 5:50:42 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 10.1078 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4217 loss: 1.4217 2022/06/28 23:21:34 - mmengine - INFO - Epoch(train) [79][3600/3757] lr: 1.000e-03 eta: 5:50:36 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 9.8774 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1662 loss: 1.1662 2022/06/28 23:21:40 - mmengine - INFO - Epoch(train) [79][3620/3757] lr: 1.000e-03 eta: 5:50:31 time: 0.871 data_time: 0.008 memory: 5150 grad_norm: 7.9638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0131 loss: 1.0131 2022/06/28 23:21:44 - mmengine - INFO - Epoch(train) [79][3640/3757] lr: 1.000e-03 eta: 5:50:26 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 8.5146 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0086 loss: 1.0086 2022/06/28 23:21:50 - mmengine - INFO - Epoch(train) [79][3660/3757] lr: 1.000e-03 eta: 5:50:20 time: 0.501 data_time: 0.009 memory: 5150 grad_norm: 10.1571 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/06/28 23:21:56 - mmengine - INFO - Epoch(train) [79][3680/3757] lr: 1.000e-03 eta: 5:50:15 time: 0.592 data_time: 0.008 memory: 5150 grad_norm: 9.2655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2805 loss: 1.2805 2022/06/28 23:22:01 - mmengine - INFO - Epoch(train) [79][3700/3757] lr: 1.000e-03 eta: 5:50:10 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.7997 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1662 loss: 1.1662 2022/06/28 23:22:06 - mmengine - INFO - Epoch(train) [79][3720/3757] lr: 1.000e-03 eta: 5:50:04 time: 0.400 data_time: 0.008 memory: 5150 grad_norm: 8.4710 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0659 loss: 1.0659 2022/06/28 23:22:11 - mmengine - INFO - Epoch(train) [79][3740/3757] lr: 1.000e-03 eta: 5:49:59 time: 0.849 data_time: 0.008 memory: 5150 grad_norm: 9.5344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/28 23:22:15 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:22:48 - mmengine - INFO - Epoch(val) [79][20/310] eta: 0:05:55 time: 1.093 data_time: 0.424 memory: 9746 2022/06/28 23:23:10 - mmengine - INFO - Epoch(val) [79][40/310] eta: 0:04:44 time: 1.034 data_time: 0.386 memory: 9746 2022/06/28 23:23:34 - mmengine - INFO - Epoch(val) [79][60/310] eta: 0:04:14 time: 1.059 data_time: 0.417 memory: 9746 2022/06/28 23:23:57 - mmengine - INFO - Epoch(val) [79][80/310] eta: 0:04:39 time: 1.154 data_time: 0.474 memory: 9746 2022/06/28 23:24:21 - mmengine - INFO - Epoch(val) [79][100/310] eta: 0:04:17 time: 2.481 data_time: 1.742 memory: 9746 2022/06/28 23:24:42 - mmengine - INFO - Epoch(val) [79][120/310] eta: 0:03:18 time: 1.119 data_time: 0.466 memory: 9746 2022/06/28 23:25:06 - mmengine - INFO - Epoch(val) [79][140/310] eta: 0:03:22 time: 1.176 data_time: 0.516 memory: 9746 2022/06/28 23:25:32 - mmengine - INFO - Epoch(val) [79][160/310] eta: 0:03:19 time: 3.548 data_time: 2.896 memory: 9746 2022/06/28 23:25:54 - mmengine - INFO - Epoch(val) [79][180/310] eta: 0:02:45 time: 1.072 data_time: 0.447 memory: 9746 2022/06/28 23:26:17 - mmengine - INFO - Epoch(val) [79][200/310] eta: 0:02:05 time: 1.103 data_time: 0.477 memory: 9746 2022/06/28 23:26:38 - mmengine - INFO - Epoch(val) [79][220/310] eta: 0:01:34 time: 1.150 data_time: 0.496 memory: 9746 2022/06/28 23:26:59 - mmengine - INFO - Epoch(val) [79][240/310] eta: 0:01:14 time: 0.940 data_time: 0.294 memory: 9746 2022/06/28 23:27:23 - mmengine - INFO - Epoch(val) [79][260/310] eta: 0:00:57 time: 1.085 data_time: 0.425 memory: 9746 2022/06/28 23:27:46 - mmengine - INFO - Epoch(val) [79][280/310] eta: 0:00:33 time: 1.859 data_time: 1.206 memory: 9746 2022/06/28 23:28:05 - mmengine - INFO - Epoch(val) [79][300/310] eta: 0:00:09 time: 0.670 data_time: 0.096 memory: 9746 2022/06/28 23:28:18 - mmengine - INFO - Epoch(val) [79][310/310] acc/top1: 0.7081 acc/top5: 0.8963 acc/mean1: 0.7080 2022/06/28 23:28:27 - mmengine - INFO - Epoch(train) [80][20/3757] lr: 1.000e-03 eta: 5:49:49 time: 0.206 data_time: 0.013 memory: 9746 grad_norm: 9.1185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4014 loss: 1.4014 2022/06/28 23:28:32 - mmengine - INFO - Epoch(train) [80][40/3757] lr: 1.000e-03 eta: 5:49:44 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.6934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6002 loss: 1.6002 2022/06/28 23:28:37 - mmengine - INFO - Epoch(train) [80][60/3757] lr: 1.000e-03 eta: 5:49:39 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 8.8121 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2003 loss: 1.2003 2022/06/28 23:28:43 - mmengine - INFO - Epoch(train) [80][80/3757] lr: 1.000e-03 eta: 5:49:34 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/28 23:28:49 - mmengine - INFO - Epoch(train) [80][100/3757] lr: 1.000e-03 eta: 5:49:28 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5284 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3480 loss: 1.3480 2022/06/28 23:28:53 - mmengine - INFO - Epoch(train) [80][120/3757] lr: 1.000e-03 eta: 5:49:23 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.0201 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2026 loss: 1.2026 2022/06/28 23:28:59 - mmengine - INFO - Epoch(train) [80][140/3757] lr: 1.000e-03 eta: 5:49:18 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.8901 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3547 loss: 1.3547 2022/06/28 23:29:05 - mmengine - INFO - Epoch(train) [80][160/3757] lr: 1.000e-03 eta: 5:49:12 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.0756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7542 loss: 1.7542 2022/06/28 23:29:09 - mmengine - INFO - Epoch(train) [80][180/3757] lr: 1.000e-03 eta: 5:49:07 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 10.2851 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2349 loss: 1.2349 2022/06/28 23:29:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:29:15 - mmengine - INFO - Epoch(train) [80][200/3757] lr: 1.000e-03 eta: 5:49:02 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.0232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1697 loss: 1.1697 2022/06/28 23:29:21 - mmengine - INFO - Epoch(train) [80][220/3757] lr: 1.000e-03 eta: 5:48:56 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.3267 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5220 loss: 1.5220 2022/06/28 23:29:25 - mmengine - INFO - Epoch(train) [80][240/3757] lr: 1.000e-03 eta: 5:48:51 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 7.7375 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2209 loss: 1.2209 2022/06/28 23:29:31 - mmengine - INFO - Epoch(train) [80][260/3757] lr: 1.000e-03 eta: 5:48:46 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.4359 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4921 loss: 1.4921 2022/06/28 23:29:36 - mmengine - INFO - Epoch(train) [80][280/3757] lr: 1.000e-03 eta: 5:48:40 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.1003 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5193 loss: 1.5193 2022/06/28 23:29:41 - mmengine - INFO - Epoch(train) [80][300/3757] lr: 1.000e-03 eta: 5:48:35 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.7769 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4329 loss: 1.4329 2022/06/28 23:29:47 - mmengine - INFO - Epoch(train) [80][320/3757] lr: 1.000e-03 eta: 5:48:30 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.2501 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3990 loss: 1.3990 2022/06/28 23:29:53 - mmengine - INFO - Epoch(train) [80][340/3757] lr: 1.000e-03 eta: 5:48:25 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 7.7406 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5189 loss: 1.5189 2022/06/28 23:29:58 - mmengine - INFO - Epoch(train) [80][360/3757] lr: 1.000e-03 eta: 5:48:19 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.9463 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0772 loss: 1.0772 2022/06/28 23:30:03 - mmengine - INFO - Epoch(train) [80][380/3757] lr: 1.000e-03 eta: 5:48:14 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.5918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3581 loss: 1.3581 2022/06/28 23:30:09 - mmengine - INFO - Epoch(train) [80][400/3757] lr: 1.000e-03 eta: 5:48:09 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.7576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7554 loss: 0.7554 2022/06/28 23:30:14 - mmengine - INFO - Epoch(train) [80][420/3757] lr: 1.000e-03 eta: 5:48:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.9119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3972 loss: 1.3972 2022/06/28 23:30:19 - mmengine - INFO - Epoch(train) [80][440/3757] lr: 1.000e-03 eta: 5:47:58 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.6672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1353 loss: 1.1353 2022/06/28 23:30:25 - mmengine - INFO - Epoch(train) [80][460/3757] lr: 1.000e-03 eta: 5:47:53 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.2367 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/06/28 23:30:30 - mmengine - INFO - Epoch(train) [80][480/3757] lr: 1.000e-03 eta: 5:47:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8377 loss: 0.8377 2022/06/28 23:30:36 - mmengine - INFO - Epoch(train) [80][500/3757] lr: 1.000e-03 eta: 5:47:42 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.7195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2990 loss: 1.2990 2022/06/28 23:30:41 - mmengine - INFO - Epoch(train) [80][520/3757] lr: 1.000e-03 eta: 5:47:37 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.9517 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/06/28 23:30:46 - mmengine - INFO - Epoch(train) [80][540/3757] lr: 1.000e-03 eta: 5:47:31 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.7164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/06/28 23:30:52 - mmengine - INFO - Epoch(train) [80][560/3757] lr: 1.000e-03 eta: 5:47:26 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.3976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/06/28 23:30:58 - mmengine - INFO - Epoch(train) [80][580/3757] lr: 1.000e-03 eta: 5:47:21 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 11.5311 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5157 loss: 1.5157 2022/06/28 23:31:03 - mmengine - INFO - Epoch(train) [80][600/3757] lr: 1.000e-03 eta: 5:47:15 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.1089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/06/28 23:31:08 - mmengine - INFO - Epoch(train) [80][620/3757] lr: 1.000e-03 eta: 5:47:10 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.8941 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3037 loss: 1.3037 2022/06/28 23:31:13 - mmengine - INFO - Epoch(train) [80][640/3757] lr: 1.000e-03 eta: 5:47:05 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 9.1470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2133 loss: 1.2133 2022/06/28 23:31:19 - mmengine - INFO - Epoch(train) [80][660/3757] lr: 1.000e-03 eta: 5:46:59 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.2189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1855 loss: 1.1855 2022/06/28 23:31:23 - mmengine - INFO - Epoch(train) [80][680/3757] lr: 1.000e-03 eta: 5:46:54 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 10.5700 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1710 loss: 1.1710 2022/06/28 23:31:29 - mmengine - INFO - Epoch(train) [80][700/3757] lr: 1.000e-03 eta: 5:46:49 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.9341 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4166 loss: 1.4166 2022/06/28 23:31:35 - mmengine - INFO - Epoch(train) [80][720/3757] lr: 1.000e-03 eta: 5:46:43 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.3522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9932 loss: 0.9932 2022/06/28 23:31:40 - mmengine - INFO - Epoch(train) [80][740/3757] lr: 1.000e-03 eta: 5:46:38 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 7.8423 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3241 loss: 1.3241 2022/06/28 23:31:46 - mmengine - INFO - Epoch(train) [80][760/3757] lr: 1.000e-03 eta: 5:46:33 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 9.0464 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3586 loss: 1.3586 2022/06/28 23:31:51 - mmengine - INFO - Epoch(train) [80][780/3757] lr: 1.000e-03 eta: 5:46:28 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 10.1483 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.2260 loss: 1.2260 2022/06/28 23:31:56 - mmengine - INFO - Epoch(train) [80][800/3757] lr: 1.000e-03 eta: 5:46:22 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 7.5774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/06/28 23:32:02 - mmengine - INFO - Epoch(train) [80][820/3757] lr: 1.000e-03 eta: 5:46:17 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.8464 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1727 loss: 1.1727 2022/06/28 23:32:07 - mmengine - INFO - Epoch(train) [80][840/3757] lr: 1.000e-03 eta: 5:46:12 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.0972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2906 loss: 1.2906 2022/06/28 23:32:12 - mmengine - INFO - Epoch(train) [80][860/3757] lr: 1.000e-03 eta: 5:46:06 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 6.6605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2868 loss: 1.2868 2022/06/28 23:32:18 - mmengine - INFO - Epoch(train) [80][880/3757] lr: 1.000e-03 eta: 5:46:01 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.1506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4188 loss: 1.4188 2022/06/28 23:32:23 - mmengine - INFO - Epoch(train) [80][900/3757] lr: 1.000e-03 eta: 5:45:56 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 7.9299 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1890 loss: 1.1890 2022/06/28 23:32:28 - mmengine - INFO - Epoch(train) [80][920/3757] lr: 1.000e-03 eta: 5:45:50 time: 0.217 data_time: 0.014 memory: 5150 grad_norm: 8.9305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3214 loss: 1.3214 2022/06/28 23:32:34 - mmengine - INFO - Epoch(train) [80][940/3757] lr: 1.000e-03 eta: 5:45:45 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.2411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2766 loss: 1.2766 2022/06/28 23:32:39 - mmengine - INFO - Epoch(train) [80][960/3757] lr: 1.000e-03 eta: 5:45:40 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 8.5065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6497 loss: 1.6497 2022/06/28 23:32:44 - mmengine - INFO - Epoch(train) [80][980/3757] lr: 1.000e-03 eta: 5:45:34 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 9.2240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6228 loss: 1.6228 2022/06/28 23:32:50 - mmengine - INFO - Epoch(train) [80][1000/3757] lr: 1.000e-03 eta: 5:45:29 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.0010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4257 loss: 1.4257 2022/06/28 23:32:55 - mmengine - INFO - Epoch(train) [80][1020/3757] lr: 1.000e-03 eta: 5:45:24 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.5721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9698 loss: 0.9698 2022/06/28 23:33:01 - mmengine - INFO - Epoch(train) [80][1040/3757] lr: 1.000e-03 eta: 5:45:19 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 9.6132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1465 loss: 1.1465 2022/06/28 23:33:06 - mmengine - INFO - Epoch(train) [80][1060/3757] lr: 1.000e-03 eta: 5:45:13 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 9.7161 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3523 loss: 1.3523 2022/06/28 23:33:11 - mmengine - INFO - Epoch(train) [80][1080/3757] lr: 1.000e-03 eta: 5:45:08 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 9.1601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2188 loss: 1.2188 2022/06/28 23:33:16 - mmengine - INFO - Epoch(train) [80][1100/3757] lr: 1.000e-03 eta: 5:45:02 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 8.0128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2035 loss: 1.2035 2022/06/28 23:33:21 - mmengine - INFO - Epoch(train) [80][1120/3757] lr: 1.000e-03 eta: 5:44:57 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.0765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0865 loss: 1.0865 2022/06/28 23:33:26 - mmengine - INFO - Epoch(train) [80][1140/3757] lr: 1.000e-03 eta: 5:44:52 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.2356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/06/28 23:33:32 - mmengine - INFO - Epoch(train) [80][1160/3757] lr: 1.000e-03 eta: 5:44:46 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 8.6716 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4745 loss: 1.4745 2022/06/28 23:33:37 - mmengine - INFO - Epoch(train) [80][1180/3757] lr: 1.000e-03 eta: 5:44:41 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.1805 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2646 loss: 1.2646 2022/06/28 23:33:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:33:42 - mmengine - INFO - Epoch(train) [80][1200/3757] lr: 1.000e-03 eta: 5:44:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.4867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3500 loss: 1.3500 2022/06/28 23:33:47 - mmengine - INFO - Epoch(train) [80][1220/3757] lr: 1.000e-03 eta: 5:44:30 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.8345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4235 loss: 1.4235 2022/06/28 23:33:53 - mmengine - INFO - Epoch(train) [80][1240/3757] lr: 1.000e-03 eta: 5:44:25 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.9756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/06/28 23:33:58 - mmengine - INFO - Epoch(train) [80][1260/3757] lr: 1.000e-03 eta: 5:44:20 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.5102 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0593 loss: 1.0593 2022/06/28 23:34:04 - mmengine - INFO - Epoch(train) [80][1280/3757] lr: 1.000e-03 eta: 5:44:14 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.6153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2053 loss: 1.2053 2022/06/28 23:34:09 - mmengine - INFO - Epoch(train) [80][1300/3757] lr: 1.000e-03 eta: 5:44:09 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.7546 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9979 loss: 0.9979 2022/06/28 23:34:14 - mmengine - INFO - Epoch(train) [80][1320/3757] lr: 1.000e-03 eta: 5:44:04 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.1195 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1625 loss: 1.1625 2022/06/28 23:34:19 - mmengine - INFO - Epoch(train) [80][1340/3757] lr: 1.000e-03 eta: 5:43:58 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 10.7948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/06/28 23:34:24 - mmengine - INFO - Epoch(train) [80][1360/3757] lr: 1.000e-03 eta: 5:43:53 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.5346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5283 loss: 1.5283 2022/06/28 23:34:29 - mmengine - INFO - Epoch(train) [80][1380/3757] lr: 1.000e-03 eta: 5:43:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.3371 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/06/28 23:34:35 - mmengine - INFO - Epoch(train) [80][1400/3757] lr: 1.000e-03 eta: 5:43:42 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 8.3987 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1082 loss: 1.1082 2022/06/28 23:34:41 - mmengine - INFO - Epoch(train) [80][1420/3757] lr: 1.000e-03 eta: 5:43:37 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 7.7627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3969 loss: 1.3969 2022/06/28 23:34:46 - mmengine - INFO - Epoch(train) [80][1440/3757] lr: 1.000e-03 eta: 5:43:32 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 10.2755 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0766 loss: 1.0766 2022/06/28 23:34:51 - mmengine - INFO - Epoch(train) [80][1460/3757] lr: 1.000e-03 eta: 5:43:26 time: 0.276 data_time: 0.007 memory: 5150 grad_norm: 10.2638 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5660 loss: 1.5660 2022/06/28 23:34:57 - mmengine - INFO - Epoch(train) [80][1480/3757] lr: 1.000e-03 eta: 5:43:21 time: 0.194 data_time: 0.016 memory: 5150 grad_norm: 10.4396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3013 loss: 1.3013 2022/06/28 23:35:02 - mmengine - INFO - Epoch(train) [80][1500/3757] lr: 1.000e-03 eta: 5:43:16 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 8.9324 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8981 loss: 0.8981 2022/06/28 23:35:07 - mmengine - INFO - Epoch(train) [80][1520/3757] lr: 1.000e-03 eta: 5:43:10 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.0807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/06/28 23:35:13 - mmengine - INFO - Epoch(train) [80][1540/3757] lr: 1.000e-03 eta: 5:43:05 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.8688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3256 loss: 1.3256 2022/06/28 23:35:18 - mmengine - INFO - Epoch(train) [80][1560/3757] lr: 1.000e-03 eta: 5:43:00 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.0847 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4365 loss: 1.4365 2022/06/28 23:35:24 - mmengine - INFO - Epoch(train) [80][1580/3757] lr: 1.000e-03 eta: 5:42:54 time: 0.208 data_time: 0.024 memory: 5150 grad_norm: 7.6563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/06/28 23:35:29 - mmengine - INFO - Epoch(train) [80][1600/3757] lr: 1.000e-03 eta: 5:42:49 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.8712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2703 loss: 1.2703 2022/06/28 23:35:33 - mmengine - INFO - Epoch(train) [80][1620/3757] lr: 1.000e-03 eta: 5:42:44 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 8.6647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1084 loss: 1.1084 2022/06/28 23:35:39 - mmengine - INFO - Epoch(train) [80][1640/3757] lr: 1.000e-03 eta: 5:42:38 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.8704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4800 loss: 1.4800 2022/06/28 23:35:45 - mmengine - INFO - Epoch(train) [80][1660/3757] lr: 1.000e-03 eta: 5:42:33 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.3584 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4980 loss: 1.4980 2022/06/28 23:35:50 - mmengine - INFO - Epoch(train) [80][1680/3757] lr: 1.000e-03 eta: 5:42:28 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.7253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1363 loss: 1.1363 2022/06/28 23:35:55 - mmengine - INFO - Epoch(train) [80][1700/3757] lr: 1.000e-03 eta: 5:42:22 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.1082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2885 loss: 1.2885 2022/06/28 23:36:01 - mmengine - INFO - Epoch(train) [80][1720/3757] lr: 1.000e-03 eta: 5:42:17 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.8011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5276 loss: 1.5276 2022/06/28 23:36:05 - mmengine - INFO - Epoch(train) [80][1740/3757] lr: 1.000e-03 eta: 5:42:12 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.4510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/06/28 23:36:11 - mmengine - INFO - Epoch(train) [80][1760/3757] lr: 1.000e-03 eta: 5:42:06 time: 0.229 data_time: 0.020 memory: 5150 grad_norm: 8.2640 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1387 loss: 1.1387 2022/06/28 23:36:16 - mmengine - INFO - Epoch(train) [80][1780/3757] lr: 1.000e-03 eta: 5:42:01 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 8.9797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3207 loss: 1.3207 2022/06/28 23:36:21 - mmengine - INFO - Epoch(train) [80][1800/3757] lr: 1.000e-03 eta: 5:41:56 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.7460 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8854 loss: 0.8854 2022/06/28 23:36:26 - mmengine - INFO - Epoch(train) [80][1820/3757] lr: 1.000e-03 eta: 5:41:50 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 8.7889 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/06/28 23:36:32 - mmengine - INFO - Epoch(train) [80][1840/3757] lr: 1.000e-03 eta: 5:41:45 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 10.1312 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4067 loss: 1.4067 2022/06/28 23:36:37 - mmengine - INFO - Epoch(train) [80][1860/3757] lr: 1.000e-03 eta: 5:41:40 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 6.9372 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5292 loss: 1.5292 2022/06/28 23:36:42 - mmengine - INFO - Epoch(train) [80][1880/3757] lr: 1.000e-03 eta: 5:41:34 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 7.8623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8306 loss: 0.8306 2022/06/28 23:36:48 - mmengine - INFO - Epoch(train) [80][1900/3757] lr: 1.000e-03 eta: 5:41:29 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.5809 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3511 loss: 1.3511 2022/06/28 23:36:52 - mmengine - INFO - Epoch(train) [80][1920/3757] lr: 1.000e-03 eta: 5:41:23 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.8447 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2516 loss: 1.2516 2022/06/28 23:36:58 - mmengine - INFO - Epoch(train) [80][1940/3757] lr: 1.000e-03 eta: 5:41:18 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 9.8435 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4520 loss: 1.4520 2022/06/28 23:37:04 - mmengine - INFO - Epoch(train) [80][1960/3757] lr: 1.000e-03 eta: 5:41:13 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.9613 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1111 loss: 1.1111 2022/06/28 23:37:08 - mmengine - INFO - Epoch(train) [80][1980/3757] lr: 1.000e-03 eta: 5:41:08 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9175 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5406 loss: 1.5406 2022/06/28 23:37:14 - mmengine - INFO - Epoch(train) [80][2000/3757] lr: 1.000e-03 eta: 5:41:02 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.6801 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3643 loss: 1.3643 2022/06/28 23:37:20 - mmengine - INFO - Epoch(train) [80][2020/3757] lr: 1.000e-03 eta: 5:40:57 time: 0.788 data_time: 0.007 memory: 5150 grad_norm: 9.0623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5482 loss: 1.5482 2022/06/28 23:37:25 - mmengine - INFO - Epoch(train) [80][2040/3757] lr: 1.000e-03 eta: 5:40:52 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 8.0610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2173 loss: 1.2173 2022/06/28 23:37:30 - mmengine - INFO - Epoch(train) [80][2060/3757] lr: 1.000e-03 eta: 5:40:46 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.2142 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2267 loss: 1.2267 2022/06/28 23:37:36 - mmengine - INFO - Epoch(train) [80][2080/3757] lr: 1.000e-03 eta: 5:40:41 time: 0.842 data_time: 0.008 memory: 5150 grad_norm: 8.6972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9623 loss: 0.9623 2022/06/28 23:37:41 - mmengine - INFO - Epoch(train) [80][2100/3757] lr: 1.000e-03 eta: 5:40:36 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.3160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0247 loss: 1.0247 2022/06/28 23:37:46 - mmengine - INFO - Epoch(train) [80][2120/3757] lr: 1.000e-03 eta: 5:40:30 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.2888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3944 loss: 1.3944 2022/06/28 23:37:53 - mmengine - INFO - Epoch(train) [80][2140/3757] lr: 1.000e-03 eta: 5:40:25 time: 1.352 data_time: 0.007 memory: 5150 grad_norm: 8.5861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4636 loss: 1.4636 2022/06/28 23:37:57 - mmengine - INFO - Epoch(train) [80][2160/3757] lr: 1.000e-03 eta: 5:40:20 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1972 loss: 1.1972 2022/06/28 23:38:02 - mmengine - INFO - Epoch(train) [80][2180/3757] lr: 1.000e-03 eta: 5:40:14 time: 0.219 data_time: 0.009 memory: 5150 grad_norm: 8.2833 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/06/28 23:38:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:38:08 - mmengine - INFO - Epoch(train) [80][2200/3757] lr: 1.000e-03 eta: 5:40:09 time: 0.906 data_time: 0.008 memory: 5150 grad_norm: 9.4895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1644 loss: 1.1644 2022/06/28 23:38:13 - mmengine - INFO - Epoch(train) [80][2220/3757] lr: 1.000e-03 eta: 5:40:04 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 6.5723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/06/28 23:38:19 - mmengine - INFO - Epoch(train) [80][2240/3757] lr: 1.000e-03 eta: 5:39:59 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 8.5843 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9386 loss: 1.9386 2022/06/28 23:38:24 - mmengine - INFO - Epoch(train) [80][2260/3757] lr: 1.000e-03 eta: 5:39:53 time: 0.383 data_time: 0.008 memory: 5150 grad_norm: 8.9293 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1071 loss: 1.1071 2022/06/28 23:38:29 - mmengine - INFO - Epoch(train) [80][2280/3757] lr: 1.000e-03 eta: 5:39:48 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 10.3247 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2614 loss: 1.2614 2022/06/28 23:38:35 - mmengine - INFO - Epoch(train) [80][2300/3757] lr: 1.000e-03 eta: 5:39:43 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.6505 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2765 loss: 1.2765 2022/06/28 23:38:40 - mmengine - INFO - Epoch(train) [80][2320/3757] lr: 1.000e-03 eta: 5:39:37 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.7410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0976 loss: 1.0976 2022/06/28 23:38:45 - mmengine - INFO - Epoch(train) [80][2340/3757] lr: 1.000e-03 eta: 5:39:32 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 8.1954 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/06/28 23:38:50 - mmengine - INFO - Epoch(train) [80][2360/3757] lr: 1.000e-03 eta: 5:39:27 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.6696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4023 loss: 1.4023 2022/06/28 23:38:56 - mmengine - INFO - Epoch(train) [80][2380/3757] lr: 1.000e-03 eta: 5:39:21 time: 0.342 data_time: 0.011 memory: 5150 grad_norm: 8.2330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0223 loss: 1.0223 2022/06/28 23:39:01 - mmengine - INFO - Epoch(train) [80][2400/3757] lr: 1.000e-03 eta: 5:39:16 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 8.7310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2832 loss: 1.2832 2022/06/28 23:39:06 - mmengine - INFO - Epoch(train) [80][2420/3757] lr: 1.000e-03 eta: 5:39:10 time: 0.195 data_time: 0.013 memory: 5150 grad_norm: 9.8936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1688 loss: 1.1688 2022/06/28 23:39:12 - mmengine - INFO - Epoch(train) [80][2440/3757] lr: 1.000e-03 eta: 5:39:05 time: 0.276 data_time: 0.008 memory: 5150 grad_norm: 9.6124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/06/28 23:39:17 - mmengine - INFO - Epoch(train) [80][2460/3757] lr: 1.000e-03 eta: 5:39:00 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 8.6321 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2862 loss: 1.2862 2022/06/28 23:39:22 - mmengine - INFO - Epoch(train) [80][2480/3757] lr: 1.000e-03 eta: 5:38:55 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.2600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0160 loss: 1.0160 2022/06/28 23:39:28 - mmengine - INFO - Epoch(train) [80][2500/3757] lr: 1.000e-03 eta: 5:38:49 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.3473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1340 loss: 1.1340 2022/06/28 23:39:33 - mmengine - INFO - Epoch(train) [80][2520/3757] lr: 1.000e-03 eta: 5:38:44 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.1058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3020 loss: 1.3020 2022/06/28 23:39:38 - mmengine - INFO - Epoch(train) [80][2540/3757] lr: 1.000e-03 eta: 5:38:39 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 7.9943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/06/28 23:39:44 - mmengine - INFO - Epoch(train) [80][2560/3757] lr: 1.000e-03 eta: 5:38:33 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.7266 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8343 loss: 0.8343 2022/06/28 23:39:49 - mmengine - INFO - Epoch(train) [80][2580/3757] lr: 1.000e-03 eta: 5:38:28 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.9380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2682 loss: 1.2682 2022/06/28 23:39:54 - mmengine - INFO - Epoch(train) [80][2600/3757] lr: 1.000e-03 eta: 5:38:23 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 11.4425 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1817 loss: 1.1817 2022/06/28 23:40:00 - mmengine - INFO - Epoch(train) [80][2620/3757] lr: 1.000e-03 eta: 5:38:17 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 8.1437 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1924 loss: 1.1924 2022/06/28 23:40:05 - mmengine - INFO - Epoch(train) [80][2640/3757] lr: 1.000e-03 eta: 5:38:12 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.0462 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4225 loss: 1.4225 2022/06/28 23:40:10 - mmengine - INFO - Epoch(train) [80][2660/3757] lr: 1.000e-03 eta: 5:38:07 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 10.1905 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1162 loss: 1.1162 2022/06/28 23:40:15 - mmengine - INFO - Epoch(train) [80][2680/3757] lr: 1.000e-03 eta: 5:38:01 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.6921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1258 loss: 1.1258 2022/06/28 23:40:20 - mmengine - INFO - Epoch(train) [80][2700/3757] lr: 1.000e-03 eta: 5:37:56 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 10.4832 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4343 loss: 1.4343 2022/06/28 23:40:25 - mmengine - INFO - Epoch(train) [80][2720/3757] lr: 1.000e-03 eta: 5:37:50 time: 0.212 data_time: 0.022 memory: 5150 grad_norm: 9.2193 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2690 loss: 1.2690 2022/06/28 23:40:31 - mmengine - INFO - Epoch(train) [80][2740/3757] lr: 1.000e-03 eta: 5:37:45 time: 0.240 data_time: 0.009 memory: 5150 grad_norm: 8.9059 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3290 loss: 1.3290 2022/06/28 23:40:36 - mmengine - INFO - Epoch(train) [80][2760/3757] lr: 1.000e-03 eta: 5:37:40 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.3717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1999 loss: 1.1999 2022/06/28 23:40:41 - mmengine - INFO - Epoch(train) [80][2780/3757] lr: 1.000e-03 eta: 5:37:34 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 9.5620 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5565 loss: 1.5565 2022/06/28 23:40:47 - mmengine - INFO - Epoch(train) [80][2800/3757] lr: 1.000e-03 eta: 5:37:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5633 loss: 1.5633 2022/06/28 23:40:52 - mmengine - INFO - Epoch(train) [80][2820/3757] lr: 1.000e-03 eta: 5:37:24 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 10.3975 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5462 loss: 1.5462 2022/06/28 23:40:57 - mmengine - INFO - Epoch(train) [80][2840/3757] lr: 1.000e-03 eta: 5:37:18 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.5949 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4471 loss: 1.4471 2022/06/28 23:41:03 - mmengine - INFO - Epoch(train) [80][2860/3757] lr: 1.000e-03 eta: 5:37:13 time: 0.199 data_time: 0.017 memory: 5150 grad_norm: 9.4599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5659 loss: 1.5659 2022/06/28 23:41:07 - mmengine - INFO - Epoch(train) [80][2880/3757] lr: 1.000e-03 eta: 5:37:08 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 10.6791 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1484 loss: 1.1484 2022/06/28 23:41:12 - mmengine - INFO - Epoch(train) [80][2900/3757] lr: 1.000e-03 eta: 5:37:02 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.3893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1774 loss: 1.1774 2022/06/28 23:41:18 - mmengine - INFO - Epoch(train) [80][2920/3757] lr: 1.000e-03 eta: 5:36:57 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 11.2427 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2664 loss: 1.2664 2022/06/28 23:41:23 - mmengine - INFO - Epoch(train) [80][2940/3757] lr: 1.000e-03 eta: 5:36:52 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.2117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/06/28 23:41:28 - mmengine - INFO - Epoch(train) [80][2960/3757] lr: 1.000e-03 eta: 5:36:46 time: 0.219 data_time: 0.042 memory: 5150 grad_norm: 9.8522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4867 loss: 1.4867 2022/06/28 23:41:34 - mmengine - INFO - Epoch(train) [80][2980/3757] lr: 1.000e-03 eta: 5:36:41 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 6.2842 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9036 loss: 0.9036 2022/06/28 23:41:39 - mmengine - INFO - Epoch(train) [80][3000/3757] lr: 1.000e-03 eta: 5:36:36 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.3026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9865 loss: 0.9865 2022/06/28 23:41:44 - mmengine - INFO - Epoch(train) [80][3020/3757] lr: 1.000e-03 eta: 5:36:30 time: 0.203 data_time: 0.026 memory: 5150 grad_norm: 9.1212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2249 loss: 1.2249 2022/06/28 23:41:50 - mmengine - INFO - Epoch(train) [80][3040/3757] lr: 1.000e-03 eta: 5:36:25 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 9.1333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3951 loss: 1.3951 2022/06/28 23:41:55 - mmengine - INFO - Epoch(train) [80][3060/3757] lr: 1.000e-03 eta: 5:36:20 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.4020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1482 loss: 1.1482 2022/06/28 23:42:00 - mmengine - INFO - Epoch(train) [80][3080/3757] lr: 1.000e-03 eta: 5:36:14 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 8.7313 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 1.5496 loss: 1.5496 2022/06/28 23:42:06 - mmengine - INFO - Epoch(train) [80][3100/3757] lr: 1.000e-03 eta: 5:36:09 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 8.5878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1357 loss: 1.1357 2022/06/28 23:42:11 - mmengine - INFO - Epoch(train) [80][3120/3757] lr: 1.000e-03 eta: 5:36:04 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.6509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9628 loss: 0.9628 2022/06/28 23:42:16 - mmengine - INFO - Epoch(train) [80][3140/3757] lr: 1.000e-03 eta: 5:35:58 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 10.0872 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2900 loss: 1.2900 2022/06/28 23:42:22 - mmengine - INFO - Epoch(train) [80][3160/3757] lr: 1.000e-03 eta: 5:35:53 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 8.8796 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1650 loss: 1.1650 2022/06/28 23:42:27 - mmengine - INFO - Epoch(train) [80][3180/3757] lr: 1.000e-03 eta: 5:35:48 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 7.3315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/06/28 23:42:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:42:32 - mmengine - INFO - Epoch(train) [80][3200/3757] lr: 1.000e-03 eta: 5:35:42 time: 0.243 data_time: 0.035 memory: 5150 grad_norm: 8.7390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/06/28 23:42:38 - mmengine - INFO - Epoch(train) [80][3220/3757] lr: 1.000e-03 eta: 5:35:37 time: 0.217 data_time: 0.024 memory: 5150 grad_norm: 7.9797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1770 loss: 1.1770 2022/06/28 23:42:43 - mmengine - INFO - Epoch(train) [80][3240/3757] lr: 1.000e-03 eta: 5:35:32 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.1074 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5181 loss: 1.5181 2022/06/28 23:42:48 - mmengine - INFO - Epoch(train) [80][3260/3757] lr: 1.000e-03 eta: 5:35:26 time: 0.205 data_time: 0.025 memory: 5150 grad_norm: 10.1232 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4637 loss: 1.4637 2022/06/28 23:42:54 - mmengine - INFO - Epoch(train) [80][3280/3757] lr: 1.000e-03 eta: 5:35:21 time: 0.214 data_time: 0.015 memory: 5150 grad_norm: 8.8939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4424 loss: 1.4424 2022/06/28 23:42:59 - mmengine - INFO - Epoch(train) [80][3300/3757] lr: 1.000e-03 eta: 5:35:16 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.6671 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2686 loss: 1.2686 2022/06/28 23:43:04 - mmengine - INFO - Epoch(train) [80][3320/3757] lr: 1.000e-03 eta: 5:35:10 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 10.0286 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/06/28 23:43:10 - mmengine - INFO - Epoch(train) [80][3340/3757] lr: 1.000e-03 eta: 5:35:05 time: 0.232 data_time: 0.010 memory: 5150 grad_norm: 8.0847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4331 loss: 1.4331 2022/06/28 23:43:15 - mmengine - INFO - Epoch(train) [80][3360/3757] lr: 1.000e-03 eta: 5:35:00 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.8731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3305 loss: 1.3305 2022/06/28 23:43:20 - mmengine - INFO - Epoch(train) [80][3380/3757] lr: 1.000e-03 eta: 5:34:54 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.8741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/06/28 23:43:25 - mmengine - INFO - Epoch(train) [80][3400/3757] lr: 1.000e-03 eta: 5:34:49 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 6.8658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/06/28 23:43:30 - mmengine - INFO - Epoch(train) [80][3420/3757] lr: 1.000e-03 eta: 5:34:44 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.9180 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3394 loss: 1.3394 2022/06/28 23:43:36 - mmengine - INFO - Epoch(train) [80][3440/3757] lr: 1.000e-03 eta: 5:34:38 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.4637 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0870 loss: 1.0870 2022/06/28 23:43:41 - mmengine - INFO - Epoch(train) [80][3460/3757] lr: 1.000e-03 eta: 5:34:33 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 9.3280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3995 loss: 1.3995 2022/06/28 23:43:46 - mmengine - INFO - Epoch(train) [80][3480/3757] lr: 1.000e-03 eta: 5:34:28 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.5215 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4204 loss: 1.4204 2022/06/28 23:43:52 - mmengine - INFO - Epoch(train) [80][3500/3757] lr: 1.000e-03 eta: 5:34:22 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.9188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0763 loss: 1.0763 2022/06/28 23:43:58 - mmengine - INFO - Epoch(train) [80][3520/3757] lr: 1.000e-03 eta: 5:34:17 time: 0.198 data_time: 0.017 memory: 5150 grad_norm: 9.8927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0145 loss: 1.0145 2022/06/28 23:44:03 - mmengine - INFO - Epoch(train) [80][3540/3757] lr: 1.000e-03 eta: 5:34:12 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.4709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4621 loss: 1.4621 2022/06/28 23:44:09 - mmengine - INFO - Epoch(train) [80][3560/3757] lr: 1.000e-03 eta: 5:34:07 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.5659 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3442 loss: 1.3442 2022/06/28 23:44:14 - mmengine - INFO - Epoch(train) [80][3580/3757] lr: 1.000e-03 eta: 5:34:01 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 10.0939 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3648 loss: 1.3648 2022/06/28 23:44:18 - mmengine - INFO - Epoch(train) [80][3600/3757] lr: 1.000e-03 eta: 5:33:56 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3465 loss: 1.3465 2022/06/28 23:44:24 - mmengine - INFO - Epoch(train) [80][3620/3757] lr: 1.000e-03 eta: 5:33:51 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 7.9410 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2380 loss: 1.2380 2022/06/28 23:44:29 - mmengine - INFO - Epoch(train) [80][3640/3757] lr: 1.000e-03 eta: 5:33:45 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 7.0158 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/06/28 23:44:34 - mmengine - INFO - Epoch(train) [80][3660/3757] lr: 1.000e-03 eta: 5:33:40 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.2424 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5515 loss: 1.5515 2022/06/28 23:44:40 - mmengine - INFO - Epoch(train) [80][3680/3757] lr: 1.000e-03 eta: 5:33:35 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 8.1548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1482 loss: 1.1482 2022/06/28 23:44:46 - mmengine - INFO - Epoch(train) [80][3700/3757] lr: 1.000e-03 eta: 5:33:29 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 8.6119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1032 loss: 1.1032 2022/06/28 23:44:51 - mmengine - INFO - Epoch(train) [80][3720/3757] lr: 1.000e-03 eta: 5:33:24 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 9.9379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/06/28 23:44:56 - mmengine - INFO - Epoch(train) [80][3740/3757] lr: 1.000e-03 eta: 5:33:19 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.4595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/06/28 23:44:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:44:59 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/06/28 23:45:35 - mmengine - INFO - Epoch(val) [80][20/310] eta: 0:06:01 time: 1.029 data_time: 0.389 memory: 9746 2022/06/28 23:45:57 - mmengine - INFO - Epoch(val) [80][40/310] eta: 0:04:50 time: 0.894 data_time: 0.255 memory: 9746 2022/06/28 23:46:20 - mmengine - INFO - Epoch(val) [80][60/310] eta: 0:04:28 time: 1.160 data_time: 0.504 memory: 9746 2022/06/28 23:46:45 - mmengine - INFO - Epoch(val) [80][80/310] eta: 0:05:31 time: 1.169 data_time: 0.501 memory: 9746 2022/06/28 23:47:08 - mmengine - INFO - Epoch(val) [80][100/310] eta: 0:04:03 time: 1.958 data_time: 1.315 memory: 9746 2022/06/28 23:47:29 - mmengine - INFO - Epoch(val) [80][120/310] eta: 0:03:17 time: 0.965 data_time: 0.338 memory: 9746 2022/06/28 23:47:54 - mmengine - INFO - Epoch(val) [80][140/310] eta: 0:03:20 time: 0.888 data_time: 0.238 memory: 9746 2022/06/28 23:48:19 - mmengine - INFO - Epoch(val) [80][160/310] eta: 0:03:08 time: 3.000 data_time: 2.323 memory: 9746 2022/06/28 23:48:42 - mmengine - INFO - Epoch(val) [80][180/310] eta: 0:02:44 time: 0.935 data_time: 0.273 memory: 9746 2022/06/28 23:49:04 - mmengine - INFO - Epoch(val) [80][200/310] eta: 0:02:06 time: 1.043 data_time: 0.409 memory: 9746 2022/06/28 23:49:25 - mmengine - INFO - Epoch(val) [80][220/310] eta: 0:01:37 time: 1.209 data_time: 0.560 memory: 9746 2022/06/28 23:49:47 - mmengine - INFO - Epoch(val) [80][240/310] eta: 0:01:16 time: 1.033 data_time: 0.399 memory: 9746 2022/06/28 23:50:10 - mmengine - INFO - Epoch(val) [80][260/310] eta: 0:01:00 time: 1.011 data_time: 0.362 memory: 9746 2022/06/28 23:50:34 - mmengine - INFO - Epoch(val) [80][280/310] eta: 0:00:34 time: 2.144 data_time: 1.504 memory: 9746 2022/06/28 23:50:52 - mmengine - INFO - Epoch(val) [80][300/310] eta: 0:00:07 time: 0.627 data_time: 0.065 memory: 9746 2022/06/28 23:51:02 - mmengine - INFO - Epoch(val) [80][310/310] acc/top1: 0.7091 acc/top5: 0.8983 acc/mean1: 0.7090 2022/06/28 23:51:11 - mmengine - INFO - Epoch(train) [81][20/3757] lr: 1.000e-04 eta: 5:33:09 time: 0.198 data_time: 0.019 memory: 9746 grad_norm: 8.4634 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/06/28 23:51:17 - mmengine - INFO - Epoch(train) [81][40/3757] lr: 1.000e-04 eta: 5:33:04 time: 0.215 data_time: 0.006 memory: 5150 grad_norm: 8.7783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0523 loss: 1.0523 2022/06/28 23:51:22 - mmengine - INFO - Epoch(train) [81][60/3757] lr: 1.000e-04 eta: 5:32:58 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.4886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4454 loss: 1.4454 2022/06/28 23:51:27 - mmengine - INFO - Epoch(train) [81][80/3757] lr: 1.000e-04 eta: 5:32:53 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.8400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3348 loss: 1.3348 2022/06/28 23:51:33 - mmengine - INFO - Epoch(train) [81][100/3757] lr: 1.000e-04 eta: 5:32:48 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.9488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/28 23:51:38 - mmengine - INFO - Epoch(train) [81][120/3757] lr: 1.000e-04 eta: 5:32:42 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.8992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/06/28 23:51:43 - mmengine - INFO - Epoch(train) [81][140/3757] lr: 1.000e-04 eta: 5:32:37 time: 0.321 data_time: 0.012 memory: 5150 grad_norm: 7.3782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3618 loss: 1.3618 2022/06/28 23:51:49 - mmengine - INFO - Epoch(train) [81][160/3757] lr: 1.000e-04 eta: 5:32:32 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.3828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7682 loss: 0.7682 2022/06/28 23:51:54 - mmengine - INFO - Epoch(train) [81][180/3757] lr: 1.000e-04 eta: 5:32:26 time: 0.310 data_time: 0.008 memory: 5150 grad_norm: 7.2305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9030 loss: 0.9030 2022/06/28 23:52:00 - mmengine - INFO - Epoch(train) [81][200/3757] lr: 1.000e-04 eta: 5:32:21 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.6389 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1226 loss: 1.1226 2022/06/28 23:52:05 - mmengine - INFO - Epoch(train) [81][220/3757] lr: 1.000e-04 eta: 5:32:16 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.9200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1837 loss: 1.1837 2022/06/28 23:52:10 - mmengine - INFO - Epoch(train) [81][240/3757] lr: 1.000e-04 eta: 5:32:10 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.7318 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3545 loss: 1.3545 2022/06/28 23:52:16 - mmengine - INFO - Epoch(train) [81][260/3757] lr: 1.000e-04 eta: 5:32:05 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.9624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8636 loss: 0.8636 2022/06/28 23:52:21 - mmengine - INFO - Epoch(train) [81][280/3757] lr: 1.000e-04 eta: 5:32:00 time: 0.220 data_time: 0.009 memory: 5150 grad_norm: 7.7833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0501 loss: 1.0501 2022/06/28 23:52:26 - mmengine - INFO - Epoch(train) [81][300/3757] lr: 1.000e-04 eta: 5:31:54 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.1369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2688 loss: 1.2688 2022/06/28 23:52:32 - mmengine - INFO - Epoch(train) [81][320/3757] lr: 1.000e-04 eta: 5:31:49 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.9038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/06/28 23:52:37 - mmengine - INFO - Epoch(train) [81][340/3757] lr: 1.000e-04 eta: 5:31:44 time: 0.250 data_time: 0.008 memory: 5150 grad_norm: 9.3716 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1907 loss: 1.1907 2022/06/28 23:52:42 - mmengine - INFO - Epoch(train) [81][360/3757] lr: 1.000e-04 eta: 5:31:38 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.7979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4947 loss: 1.4947 2022/06/28 23:52:48 - mmengine - INFO - Epoch(train) [81][380/3757] lr: 1.000e-04 eta: 5:31:33 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 9.8573 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4308 loss: 1.4308 2022/06/28 23:52:54 - mmengine - INFO - Epoch(train) [81][400/3757] lr: 1.000e-04 eta: 5:31:28 time: 0.228 data_time: 0.009 memory: 5150 grad_norm: 9.2848 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0352 loss: 1.0352 2022/06/28 23:52:58 - mmengine - INFO - Epoch(train) [81][420/3757] lr: 1.000e-04 eta: 5:31:22 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.8303 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4635 loss: 1.4635 2022/06/28 23:53:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:53:03 - mmengine - INFO - Epoch(train) [81][440/3757] lr: 1.000e-04 eta: 5:31:17 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 9.6918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2439 loss: 1.2439 2022/06/28 23:53:09 - mmengine - INFO - Epoch(train) [81][460/3757] lr: 1.000e-04 eta: 5:31:12 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.7277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1603 loss: 1.1603 2022/06/28 23:53:14 - mmengine - INFO - Epoch(train) [81][480/3757] lr: 1.000e-04 eta: 5:31:07 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.5233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1341 loss: 1.1341 2022/06/28 23:53:19 - mmengine - INFO - Epoch(train) [81][500/3757] lr: 1.000e-04 eta: 5:31:01 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 7.9710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2428 loss: 1.2428 2022/06/28 23:53:25 - mmengine - INFO - Epoch(train) [81][520/3757] lr: 1.000e-04 eta: 5:30:56 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.2780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3024 loss: 1.3024 2022/06/28 23:53:30 - mmengine - INFO - Epoch(train) [81][540/3757] lr: 1.000e-04 eta: 5:30:50 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.3360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/06/28 23:53:36 - mmengine - INFO - Epoch(train) [81][560/3757] lr: 1.000e-04 eta: 5:30:45 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.4343 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5844 loss: 1.5844 2022/06/28 23:53:41 - mmengine - INFO - Epoch(train) [81][580/3757] lr: 1.000e-04 eta: 5:30:40 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 8.0099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9854 loss: 0.9854 2022/06/28 23:53:46 - mmengine - INFO - Epoch(train) [81][600/3757] lr: 1.000e-04 eta: 5:30:35 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 9.8616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3757 loss: 1.3757 2022/06/28 23:53:52 - mmengine - INFO - Epoch(train) [81][620/3757] lr: 1.000e-04 eta: 5:30:29 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.2264 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/06/28 23:53:57 - mmengine - INFO - Epoch(train) [81][640/3757] lr: 1.000e-04 eta: 5:30:24 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.6338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/06/28 23:54:03 - mmengine - INFO - Epoch(train) [81][660/3757] lr: 1.000e-04 eta: 5:30:19 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 8.2639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9737 loss: 0.9737 2022/06/28 23:54:08 - mmengine - INFO - Epoch(train) [81][680/3757] lr: 1.000e-04 eta: 5:30:13 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.8776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1279 loss: 1.1279 2022/06/28 23:54:13 - mmengine - INFO - Epoch(train) [81][700/3757] lr: 1.000e-04 eta: 5:30:08 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.0467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/06/28 23:54:19 - mmengine - INFO - Epoch(train) [81][720/3757] lr: 1.000e-04 eta: 5:30:03 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 8.5058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1733 loss: 1.1733 2022/06/28 23:54:24 - mmengine - INFO - Epoch(train) [81][740/3757] lr: 1.000e-04 eta: 5:29:57 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.8571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2532 loss: 1.2532 2022/06/28 23:54:30 - mmengine - INFO - Epoch(train) [81][760/3757] lr: 1.000e-04 eta: 5:29:52 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.7282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0152 loss: 1.0152 2022/06/28 23:54:35 - mmengine - INFO - Epoch(train) [81][780/3757] lr: 1.000e-04 eta: 5:29:47 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.4006 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5887 loss: 1.5887 2022/06/28 23:54:40 - mmengine - INFO - Epoch(train) [81][800/3757] lr: 1.000e-04 eta: 5:29:41 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 8.7050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/06/28 23:54:45 - mmengine - INFO - Epoch(train) [81][820/3757] lr: 1.000e-04 eta: 5:29:36 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.3125 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/06/28 23:54:51 - mmengine - INFO - Epoch(train) [81][840/3757] lr: 1.000e-04 eta: 5:29:31 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.8689 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2729 loss: 1.2729 2022/06/28 23:54:56 - mmengine - INFO - Epoch(train) [81][860/3757] lr: 1.000e-04 eta: 5:29:26 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 7.2034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8378 loss: 0.8378 2022/06/28 23:55:01 - mmengine - INFO - Epoch(train) [81][880/3757] lr: 1.000e-04 eta: 5:29:20 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.0452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6510 loss: 1.6510 2022/06/28 23:55:07 - mmengine - INFO - Epoch(train) [81][900/3757] lr: 1.000e-04 eta: 5:29:15 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 7.9743 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1892 loss: 1.1892 2022/06/28 23:55:12 - mmengine - INFO - Epoch(train) [81][920/3757] lr: 1.000e-04 eta: 5:29:10 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 11.0971 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3147 loss: 1.3147 2022/06/28 23:55:17 - mmengine - INFO - Epoch(train) [81][940/3757] lr: 1.000e-04 eta: 5:29:04 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.3003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1773 loss: 1.1773 2022/06/28 23:55:22 - mmengine - INFO - Epoch(train) [81][960/3757] lr: 1.000e-04 eta: 5:28:59 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.5038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/06/28 23:55:27 - mmengine - INFO - Epoch(train) [81][980/3757] lr: 1.000e-04 eta: 5:28:53 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.4009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/06/28 23:55:33 - mmengine - INFO - Epoch(train) [81][1000/3757] lr: 1.000e-04 eta: 5:28:48 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.2622 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4157 loss: 1.4157 2022/06/28 23:55:38 - mmengine - INFO - Epoch(train) [81][1020/3757] lr: 1.000e-04 eta: 5:28:43 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 8.1165 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2574 loss: 1.2574 2022/06/28 23:55:43 - mmengine - INFO - Epoch(train) [81][1040/3757] lr: 1.000e-04 eta: 5:28:37 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.6965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/06/28 23:55:49 - mmengine - INFO - Epoch(train) [81][1060/3757] lr: 1.000e-04 eta: 5:28:32 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.7952 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3348 loss: 1.3348 2022/06/28 23:55:55 - mmengine - INFO - Epoch(train) [81][1080/3757] lr: 1.000e-04 eta: 5:28:27 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 7.8930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9319 loss: 0.9319 2022/06/28 23:56:00 - mmengine - INFO - Epoch(train) [81][1100/3757] lr: 1.000e-04 eta: 5:28:22 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 7.9568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/06/28 23:56:05 - mmengine - INFO - Epoch(train) [81][1120/3757] lr: 1.000e-04 eta: 5:28:16 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.0671 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/06/28 23:56:10 - mmengine - INFO - Epoch(train) [81][1140/3757] lr: 1.000e-04 eta: 5:28:11 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 9.1658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2246 loss: 1.2246 2022/06/28 23:56:16 - mmengine - INFO - Epoch(train) [81][1160/3757] lr: 1.000e-04 eta: 5:28:06 time: 0.216 data_time: 0.021 memory: 5150 grad_norm: 8.7195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1110 loss: 1.1110 2022/06/28 23:56:21 - mmengine - INFO - Epoch(train) [81][1180/3757] lr: 1.000e-04 eta: 5:28:00 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.4768 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0947 loss: 1.0947 2022/06/28 23:56:27 - mmengine - INFO - Epoch(train) [81][1200/3757] lr: 1.000e-04 eta: 5:27:55 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 8.5882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/06/28 23:56:31 - mmengine - INFO - Epoch(train) [81][1220/3757] lr: 1.000e-04 eta: 5:27:50 time: 0.229 data_time: 0.011 memory: 5150 grad_norm: 10.9550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9079 loss: 0.9079 2022/06/28 23:56:37 - mmengine - INFO - Epoch(train) [81][1240/3757] lr: 1.000e-04 eta: 5:27:44 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 10.9689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1947 loss: 1.1947 2022/06/28 23:56:42 - mmengine - INFO - Epoch(train) [81][1260/3757] lr: 1.000e-04 eta: 5:27:39 time: 0.236 data_time: 0.007 memory: 5150 grad_norm: 9.1792 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6053 loss: 1.6053 2022/06/28 23:56:47 - mmengine - INFO - Epoch(train) [81][1280/3757] lr: 1.000e-04 eta: 5:27:34 time: 0.224 data_time: 0.017 memory: 5150 grad_norm: 9.6679 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3600 loss: 1.3600 2022/06/28 23:56:53 - mmengine - INFO - Epoch(train) [81][1300/3757] lr: 1.000e-04 eta: 5:27:28 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.7361 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4517 loss: 1.4517 2022/06/28 23:56:58 - mmengine - INFO - Epoch(train) [81][1320/3757] lr: 1.000e-04 eta: 5:27:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.9152 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/06/28 23:57:03 - mmengine - INFO - Epoch(train) [81][1340/3757] lr: 1.000e-04 eta: 5:27:18 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 8.2121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/06/28 23:57:09 - mmengine - INFO - Epoch(train) [81][1360/3757] lr: 1.000e-04 eta: 5:27:12 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.3297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/06/28 23:57:14 - mmengine - INFO - Epoch(train) [81][1380/3757] lr: 1.000e-04 eta: 5:27:07 time: 1.059 data_time: 0.007 memory: 5150 grad_norm: 8.7525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4853 loss: 1.4853 2022/06/28 23:57:19 - mmengine - INFO - Epoch(train) [81][1400/3757] lr: 1.000e-04 eta: 5:27:02 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.6773 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/06/28 23:57:26 - mmengine - INFO - Epoch(train) [81][1420/3757] lr: 1.000e-04 eta: 5:26:56 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 8.2276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/06/28 23:57:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/28 23:57:30 - mmengine - INFO - Epoch(train) [81][1440/3757] lr: 1.000e-04 eta: 5:26:51 time: 0.510 data_time: 0.014 memory: 5150 grad_norm: 10.2352 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4194 loss: 1.4194 2022/06/28 23:57:35 - mmengine - INFO - Epoch(train) [81][1460/3757] lr: 1.000e-04 eta: 5:26:46 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 10.4065 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.1284 loss: 1.1284 2022/06/28 23:57:41 - mmengine - INFO - Epoch(train) [81][1480/3757] lr: 1.000e-04 eta: 5:26:40 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.5434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/06/28 23:57:46 - mmengine - INFO - Epoch(train) [81][1500/3757] lr: 1.000e-04 eta: 5:26:35 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5105 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2351 loss: 1.2351 2022/06/28 23:57:52 - mmengine - INFO - Epoch(train) [81][1520/3757] lr: 1.000e-04 eta: 5:26:30 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.8585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0852 loss: 1.0852 2022/06/28 23:57:57 - mmengine - INFO - Epoch(train) [81][1540/3757] lr: 1.000e-04 eta: 5:26:24 time: 0.419 data_time: 0.008 memory: 5150 grad_norm: 7.2417 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1775 loss: 1.1775 2022/06/28 23:58:02 - mmengine - INFO - Epoch(train) [81][1560/3757] lr: 1.000e-04 eta: 5:26:19 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 9.7898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1865 loss: 1.1865 2022/06/28 23:58:08 - mmengine - INFO - Epoch(train) [81][1580/3757] lr: 1.000e-04 eta: 5:26:14 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.7555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/06/28 23:58:14 - mmengine - INFO - Epoch(train) [81][1600/3757] lr: 1.000e-04 eta: 5:26:09 time: 0.934 data_time: 0.008 memory: 5150 grad_norm: 9.1042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0306 loss: 1.0306 2022/06/28 23:58:19 - mmengine - INFO - Epoch(train) [81][1620/3757] lr: 1.000e-04 eta: 5:26:03 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 9.7333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2124 loss: 1.2124 2022/06/28 23:58:24 - mmengine - INFO - Epoch(train) [81][1640/3757] lr: 1.000e-04 eta: 5:25:58 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 7.7511 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3313 loss: 1.3313 2022/06/28 23:58:30 - mmengine - INFO - Epoch(train) [81][1660/3757] lr: 1.000e-04 eta: 5:25:53 time: 1.276 data_time: 0.008 memory: 5150 grad_norm: 9.0051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3582 loss: 1.3582 2022/06/28 23:58:35 - mmengine - INFO - Epoch(train) [81][1680/3757] lr: 1.000e-04 eta: 5:25:47 time: 0.200 data_time: 0.024 memory: 5150 grad_norm: 9.8870 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4451 loss: 1.4451 2022/06/28 23:58:41 - mmengine - INFO - Epoch(train) [81][1700/3757] lr: 1.000e-04 eta: 5:25:42 time: 0.225 data_time: 0.014 memory: 5150 grad_norm: 11.1291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2078 loss: 1.2078 2022/06/28 23:58:46 - mmengine - INFO - Epoch(train) [81][1720/3757] lr: 1.000e-04 eta: 5:25:37 time: 0.877 data_time: 0.011 memory: 5150 grad_norm: 8.2075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1352 loss: 1.1352 2022/06/28 23:58:51 - mmengine - INFO - Epoch(train) [81][1740/3757] lr: 1.000e-04 eta: 5:25:31 time: 0.197 data_time: 0.023 memory: 5150 grad_norm: 9.3140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4372 loss: 1.4372 2022/06/28 23:58:56 - mmengine - INFO - Epoch(train) [81][1760/3757] lr: 1.000e-04 eta: 5:25:26 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 10.7160 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4468 loss: 1.4468 2022/06/28 23:59:02 - mmengine - INFO - Epoch(train) [81][1780/3757] lr: 1.000e-04 eta: 5:25:21 time: 0.894 data_time: 0.008 memory: 5150 grad_norm: 9.4348 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5394 loss: 1.5394 2022/06/28 23:59:06 - mmengine - INFO - Epoch(train) [81][1800/3757] lr: 1.000e-04 eta: 5:25:15 time: 0.196 data_time: 0.021 memory: 5150 grad_norm: 9.0096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/06/28 23:59:12 - mmengine - INFO - Epoch(train) [81][1820/3757] lr: 1.000e-04 eta: 5:25:10 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.2036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9205 loss: 0.9205 2022/06/28 23:59:17 - mmengine - INFO - Epoch(train) [81][1840/3757] lr: 1.000e-04 eta: 5:25:05 time: 0.535 data_time: 0.007 memory: 5150 grad_norm: 9.9525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8011 loss: 0.8011 2022/06/28 23:59:23 - mmengine - INFO - Epoch(train) [81][1860/3757] lr: 1.000e-04 eta: 5:24:59 time: 0.204 data_time: 0.026 memory: 5150 grad_norm: 7.6541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/06/28 23:59:28 - mmengine - INFO - Epoch(train) [81][1880/3757] lr: 1.000e-04 eta: 5:24:54 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 8.9850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0515 loss: 1.0515 2022/06/28 23:59:34 - mmengine - INFO - Epoch(train) [81][1900/3757] lr: 1.000e-04 eta: 5:24:49 time: 0.772 data_time: 0.007 memory: 5150 grad_norm: 6.8860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0127 loss: 1.0127 2022/06/28 23:59:38 - mmengine - INFO - Epoch(train) [81][1920/3757] lr: 1.000e-04 eta: 5:24:43 time: 0.205 data_time: 0.026 memory: 5150 grad_norm: 7.7478 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1324 loss: 1.1324 2022/06/28 23:59:43 - mmengine - INFO - Epoch(train) [81][1940/3757] lr: 1.000e-04 eta: 5:24:38 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.6800 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0251 loss: 1.0251 2022/06/28 23:59:49 - mmengine - INFO - Epoch(train) [81][1960/3757] lr: 1.000e-04 eta: 5:24:33 time: 0.898 data_time: 0.007 memory: 5150 grad_norm: 8.2313 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5648 loss: 1.5648 2022/06/28 23:59:54 - mmengine - INFO - Epoch(train) [81][1980/3757] lr: 1.000e-04 eta: 5:24:27 time: 0.212 data_time: 0.032 memory: 5150 grad_norm: 7.5513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0874 loss: 1.0874 2022/06/29 00:00:00 - mmengine - INFO - Epoch(train) [81][2000/3757] lr: 1.000e-04 eta: 5:24:22 time: 0.214 data_time: 0.013 memory: 5150 grad_norm: 8.4213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4455 loss: 1.4455 2022/06/29 00:00:07 - mmengine - INFO - Epoch(train) [81][2020/3757] lr: 1.000e-04 eta: 5:24:17 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 8.6266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4369 loss: 1.4369 2022/06/29 00:00:12 - mmengine - INFO - Epoch(train) [81][2040/3757] lr: 1.000e-04 eta: 5:24:12 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 8.5402 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2175 loss: 1.2175 2022/06/29 00:00:18 - mmengine - INFO - Epoch(train) [81][2060/3757] lr: 1.000e-04 eta: 5:24:07 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.3829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/06/29 00:00:24 - mmengine - INFO - Epoch(train) [81][2080/3757] lr: 1.000e-04 eta: 5:24:01 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 8.5608 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1419 loss: 1.1419 2022/06/29 00:00:29 - mmengine - INFO - Epoch(train) [81][2100/3757] lr: 1.000e-04 eta: 5:23:56 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 9.0815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/06/29 00:00:35 - mmengine - INFO - Epoch(train) [81][2120/3757] lr: 1.000e-04 eta: 5:23:51 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.9650 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1248 loss: 1.1248 2022/06/29 00:00:39 - mmengine - INFO - Epoch(train) [81][2140/3757] lr: 1.000e-04 eta: 5:23:45 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 9.2050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2911 loss: 1.2911 2022/06/29 00:00:45 - mmengine - INFO - Epoch(train) [81][2160/3757] lr: 1.000e-04 eta: 5:23:40 time: 0.231 data_time: 0.012 memory: 5150 grad_norm: 9.2168 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0144 loss: 1.0144 2022/06/29 00:00:50 - mmengine - INFO - Epoch(train) [81][2180/3757] lr: 1.000e-04 eta: 5:23:35 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 9.3835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2280 loss: 1.2280 2022/06/29 00:00:55 - mmengine - INFO - Epoch(train) [81][2200/3757] lr: 1.000e-04 eta: 5:23:29 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 8.9694 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5029 loss: 1.5029 2022/06/29 00:01:00 - mmengine - INFO - Epoch(train) [81][2220/3757] lr: 1.000e-04 eta: 5:23:24 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.7757 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/06/29 00:01:06 - mmengine - INFO - Epoch(train) [81][2240/3757] lr: 1.000e-04 eta: 5:23:19 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.6865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1523 loss: 1.1523 2022/06/29 00:01:11 - mmengine - INFO - Epoch(train) [81][2260/3757] lr: 1.000e-04 eta: 5:23:13 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 8.0650 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4094 loss: 1.4094 2022/06/29 00:01:17 - mmengine - INFO - Epoch(train) [81][2280/3757] lr: 1.000e-04 eta: 5:23:08 time: 0.554 data_time: 0.020 memory: 5150 grad_norm: 7.2447 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9845 loss: 0.9845 2022/06/29 00:01:22 - mmengine - INFO - Epoch(train) [81][2300/3757] lr: 1.000e-04 eta: 5:23:03 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 8.5425 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/06/29 00:01:28 - mmengine - INFO - Epoch(train) [81][2320/3757] lr: 1.000e-04 eta: 5:22:57 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 8.7011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8523 loss: 0.8523 2022/06/29 00:01:33 - mmengine - INFO - Epoch(train) [81][2340/3757] lr: 1.000e-04 eta: 5:22:52 time: 0.780 data_time: 0.016 memory: 5150 grad_norm: 9.4717 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3628 loss: 1.3628 2022/06/29 00:01:38 - mmengine - INFO - Epoch(train) [81][2360/3757] lr: 1.000e-04 eta: 5:22:47 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.5584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1017 loss: 1.1017 2022/06/29 00:01:43 - mmengine - INFO - Epoch(train) [81][2380/3757] lr: 1.000e-04 eta: 5:22:41 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 9.2402 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/06/29 00:01:49 - mmengine - INFO - Epoch(train) [81][2400/3757] lr: 1.000e-04 eta: 5:22:36 time: 0.346 data_time: 0.024 memory: 5150 grad_norm: 6.9963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1473 loss: 1.1473 2022/06/29 00:01:54 - mmengine - INFO - Epoch(train) [81][2420/3757] lr: 1.000e-04 eta: 5:22:31 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 9.6893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/06/29 00:01:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:01:59 - mmengine - INFO - Epoch(train) [81][2440/3757] lr: 1.000e-04 eta: 5:22:25 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.4778 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3596 loss: 1.3596 2022/06/29 00:02:04 - mmengine - INFO - Epoch(train) [81][2460/3757] lr: 1.000e-04 eta: 5:22:20 time: 0.305 data_time: 0.042 memory: 5150 grad_norm: 9.6506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1478 loss: 1.1478 2022/06/29 00:02:10 - mmengine - INFO - Epoch(train) [81][2480/3757] lr: 1.000e-04 eta: 5:22:15 time: 0.381 data_time: 0.011 memory: 5150 grad_norm: 9.4487 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/06/29 00:02:15 - mmengine - INFO - Epoch(train) [81][2500/3757] lr: 1.000e-04 eta: 5:22:09 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.3212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4237 loss: 1.4237 2022/06/29 00:02:20 - mmengine - INFO - Epoch(train) [81][2520/3757] lr: 1.000e-04 eta: 5:22:04 time: 0.203 data_time: 0.024 memory: 5150 grad_norm: 8.6654 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3156 loss: 1.3156 2022/06/29 00:02:26 - mmengine - INFO - Epoch(train) [81][2540/3757] lr: 1.000e-04 eta: 5:21:59 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 8.3492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2778 loss: 1.2778 2022/06/29 00:02:31 - mmengine - INFO - Epoch(train) [81][2560/3757] lr: 1.000e-04 eta: 5:21:53 time: 0.274 data_time: 0.007 memory: 5150 grad_norm: 7.2908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1200 loss: 1.1200 2022/06/29 00:02:37 - mmengine - INFO - Epoch(train) [81][2580/3757] lr: 1.000e-04 eta: 5:21:48 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.7906 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8419 loss: 0.8419 2022/06/29 00:02:42 - mmengine - INFO - Epoch(train) [81][2600/3757] lr: 1.000e-04 eta: 5:21:43 time: 0.227 data_time: 0.023 memory: 5150 grad_norm: 7.4981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4234 loss: 1.4234 2022/06/29 00:02:48 - mmengine - INFO - Epoch(train) [81][2620/3757] lr: 1.000e-04 eta: 5:21:38 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.1008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9113 loss: 0.9113 2022/06/29 00:02:53 - mmengine - INFO - Epoch(train) [81][2640/3757] lr: 1.000e-04 eta: 5:21:32 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 10.3065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/29 00:02:58 - mmengine - INFO - Epoch(train) [81][2660/3757] lr: 1.000e-04 eta: 5:21:27 time: 0.904 data_time: 0.022 memory: 5150 grad_norm: 9.5845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2657 loss: 1.2657 2022/06/29 00:03:03 - mmengine - INFO - Epoch(train) [81][2680/3757] lr: 1.000e-04 eta: 5:21:21 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.6055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4932 loss: 1.4932 2022/06/29 00:03:09 - mmengine - INFO - Epoch(train) [81][2700/3757] lr: 1.000e-04 eta: 5:21:16 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.6738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0409 loss: 1.0409 2022/06/29 00:03:14 - mmengine - INFO - Epoch(train) [81][2720/3757] lr: 1.000e-04 eta: 5:21:11 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 8.0769 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4403 loss: 1.4403 2022/06/29 00:03:19 - mmengine - INFO - Epoch(train) [81][2740/3757] lr: 1.000e-04 eta: 5:21:06 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.4916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/06/29 00:03:25 - mmengine - INFO - Epoch(train) [81][2760/3757] lr: 1.000e-04 eta: 5:21:00 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 7.8182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0417 loss: 1.0417 2022/06/29 00:03:30 - mmengine - INFO - Epoch(train) [81][2780/3757] lr: 1.000e-04 eta: 5:20:55 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.6275 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1972 loss: 1.1972 2022/06/29 00:03:36 - mmengine - INFO - Epoch(train) [81][2800/3757] lr: 1.000e-04 eta: 5:20:50 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 9.4145 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9762 loss: 0.9762 2022/06/29 00:03:41 - mmengine - INFO - Epoch(train) [81][2820/3757] lr: 1.000e-04 eta: 5:20:44 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.2370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3540 loss: 1.3540 2022/06/29 00:03:46 - mmengine - INFO - Epoch(train) [81][2840/3757] lr: 1.000e-04 eta: 5:20:39 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.3550 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9754 loss: 0.9754 2022/06/29 00:03:52 - mmengine - INFO - Epoch(train) [81][2860/3757] lr: 1.000e-04 eta: 5:20:34 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.3628 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1607 loss: 1.1607 2022/06/29 00:03:57 - mmengine - INFO - Epoch(train) [81][2880/3757] lr: 1.000e-04 eta: 5:20:28 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.8453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3460 loss: 1.3460 2022/06/29 00:04:02 - mmengine - INFO - Epoch(train) [81][2900/3757] lr: 1.000e-04 eta: 5:20:23 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.7005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5892 loss: 1.5892 2022/06/29 00:04:07 - mmengine - INFO - Epoch(train) [81][2920/3757] lr: 1.000e-04 eta: 5:20:18 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 9.9591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/06/29 00:04:12 - mmengine - INFO - Epoch(train) [81][2940/3757] lr: 1.000e-04 eta: 5:20:12 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 8.7137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/06/29 00:04:18 - mmengine - INFO - Epoch(train) [81][2960/3757] lr: 1.000e-04 eta: 5:20:07 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3350 loss: 1.3350 2022/06/29 00:04:23 - mmengine - INFO - Epoch(train) [81][2980/3757] lr: 1.000e-04 eta: 5:20:02 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 10.5202 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3084 loss: 1.3084 2022/06/29 00:04:28 - mmengine - INFO - Epoch(train) [81][3000/3757] lr: 1.000e-04 eta: 5:19:56 time: 0.215 data_time: 0.017 memory: 5150 grad_norm: 6.5268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/06/29 00:04:34 - mmengine - INFO - Epoch(train) [81][3020/3757] lr: 1.000e-04 eta: 5:19:51 time: 0.606 data_time: 0.008 memory: 5150 grad_norm: 9.2636 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5261 loss: 1.5261 2022/06/29 00:04:39 - mmengine - INFO - Epoch(train) [81][3040/3757] lr: 1.000e-04 eta: 5:19:46 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 9.4433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1535 loss: 1.1535 2022/06/29 00:04:45 - mmengine - INFO - Epoch(train) [81][3060/3757] lr: 1.000e-04 eta: 5:19:40 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 7.2268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1583 loss: 1.1583 2022/06/29 00:04:50 - mmengine - INFO - Epoch(train) [81][3080/3757] lr: 1.000e-04 eta: 5:19:35 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 9.8343 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/06/29 00:04:56 - mmengine - INFO - Epoch(train) [81][3100/3757] lr: 1.000e-04 eta: 5:19:30 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.8775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2155 loss: 1.2155 2022/06/29 00:05:01 - mmengine - INFO - Epoch(train) [81][3120/3757] lr: 1.000e-04 eta: 5:19:24 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 10.0161 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3015 loss: 1.3015 2022/06/29 00:05:06 - mmengine - INFO - Epoch(train) [81][3140/3757] lr: 1.000e-04 eta: 5:19:19 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.5289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/06/29 00:05:12 - mmengine - INFO - Epoch(train) [81][3160/3757] lr: 1.000e-04 eta: 5:19:14 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.7350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2722 loss: 1.2722 2022/06/29 00:05:17 - mmengine - INFO - Epoch(train) [81][3180/3757] lr: 1.000e-04 eta: 5:19:09 time: 0.236 data_time: 0.013 memory: 5150 grad_norm: 9.0507 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6229 loss: 1.6229 2022/06/29 00:05:22 - mmengine - INFO - Epoch(train) [81][3200/3757] lr: 1.000e-04 eta: 5:19:03 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 9.2792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/06/29 00:05:27 - mmengine - INFO - Epoch(train) [81][3220/3757] lr: 1.000e-04 eta: 5:18:58 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.8709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8791 loss: 0.8791 2022/06/29 00:05:33 - mmengine - INFO - Epoch(train) [81][3240/3757] lr: 1.000e-04 eta: 5:18:53 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 9.3807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2089 loss: 1.2089 2022/06/29 00:05:38 - mmengine - INFO - Epoch(train) [81][3260/3757] lr: 1.000e-04 eta: 5:18:47 time: 0.222 data_time: 0.012 memory: 5150 grad_norm: 7.4688 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0302 loss: 1.0302 2022/06/29 00:05:44 - mmengine - INFO - Epoch(train) [81][3280/3757] lr: 1.000e-04 eta: 5:18:42 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.7942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0915 loss: 1.0915 2022/06/29 00:05:50 - mmengine - INFO - Epoch(train) [81][3300/3757] lr: 1.000e-04 eta: 5:18:37 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.6262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2991 loss: 1.2991 2022/06/29 00:05:54 - mmengine - INFO - Epoch(train) [81][3320/3757] lr: 1.000e-04 eta: 5:18:31 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.6416 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3187 loss: 1.3187 2022/06/29 00:06:00 - mmengine - INFO - Epoch(train) [81][3340/3757] lr: 1.000e-04 eta: 5:18:26 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.2464 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9188 loss: 1.9188 2022/06/29 00:06:04 - mmengine - INFO - Epoch(train) [81][3360/3757] lr: 1.000e-04 eta: 5:18:20 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.3121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9115 loss: 0.9115 2022/06/29 00:06:09 - mmengine - INFO - Epoch(train) [81][3380/3757] lr: 1.000e-04 eta: 5:18:15 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 11.0847 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.6906 loss: 1.6906 2022/06/29 00:06:14 - mmengine - INFO - Epoch(train) [81][3400/3757] lr: 1.000e-04 eta: 5:18:10 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 9.5746 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1094 loss: 1.1094 2022/06/29 00:06:20 - mmengine - INFO - Epoch(train) [81][3420/3757] lr: 1.000e-04 eta: 5:18:04 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 8.3031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3885 loss: 1.3885 2022/06/29 00:06:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:06:25 - mmengine - INFO - Epoch(train) [81][3440/3757] lr: 1.000e-04 eta: 5:17:59 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.8622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2886 loss: 1.2886 2022/06/29 00:06:31 - mmengine - INFO - Epoch(train) [81][3460/3757] lr: 1.000e-04 eta: 5:17:54 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.5461 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3416 loss: 1.3416 2022/06/29 00:06:36 - mmengine - INFO - Epoch(train) [81][3480/3757] lr: 1.000e-04 eta: 5:17:48 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 8.6806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0087 loss: 1.0087 2022/06/29 00:06:41 - mmengine - INFO - Epoch(train) [81][3500/3757] lr: 1.000e-04 eta: 5:17:43 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 8.1014 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3051 loss: 1.3051 2022/06/29 00:06:46 - mmengine - INFO - Epoch(train) [81][3520/3757] lr: 1.000e-04 eta: 5:17:38 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 8.7145 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1111 loss: 1.1111 2022/06/29 00:06:52 - mmengine - INFO - Epoch(train) [81][3540/3757] lr: 1.000e-04 eta: 5:17:32 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 9.3513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1516 loss: 1.1516 2022/06/29 00:06:57 - mmengine - INFO - Epoch(train) [81][3560/3757] lr: 1.000e-04 eta: 5:17:27 time: 0.210 data_time: 0.023 memory: 5150 grad_norm: 8.7949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/06/29 00:07:02 - mmengine - INFO - Epoch(train) [81][3580/3757] lr: 1.000e-04 eta: 5:17:22 time: 0.217 data_time: 0.018 memory: 5150 grad_norm: 8.0592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/06/29 00:07:08 - mmengine - INFO - Epoch(train) [81][3600/3757] lr: 1.000e-04 eta: 5:17:16 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 9.1066 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2100 loss: 1.2100 2022/06/29 00:07:13 - mmengine - INFO - Epoch(train) [81][3620/3757] lr: 1.000e-04 eta: 5:17:11 time: 0.441 data_time: 0.058 memory: 5150 grad_norm: 9.2161 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4828 loss: 1.4828 2022/06/29 00:07:18 - mmengine - INFO - Epoch(train) [81][3640/3757] lr: 1.000e-04 eta: 5:17:06 time: 0.203 data_time: 0.024 memory: 5150 grad_norm: 10.4305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/06/29 00:07:24 - mmengine - INFO - Epoch(train) [81][3660/3757] lr: 1.000e-04 eta: 5:17:01 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.8274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4934 loss: 1.4934 2022/06/29 00:07:29 - mmengine - INFO - Epoch(train) [81][3680/3757] lr: 1.000e-04 eta: 5:16:55 time: 0.591 data_time: 0.412 memory: 5150 grad_norm: 9.4158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2627 loss: 1.2627 2022/06/29 00:07:35 - mmengine - INFO - Epoch(train) [81][3700/3757] lr: 1.000e-04 eta: 5:16:50 time: 0.235 data_time: 0.047 memory: 5150 grad_norm: 9.5217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3597 loss: 1.3597 2022/06/29 00:07:40 - mmengine - INFO - Epoch(train) [81][3720/3757] lr: 1.000e-04 eta: 5:16:45 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.2769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1714 loss: 1.1714 2022/06/29 00:07:45 - mmengine - INFO - Epoch(train) [81][3740/3757] lr: 1.000e-04 eta: 5:16:39 time: 0.213 data_time: 0.019 memory: 5150 grad_norm: 8.0100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2112 loss: 1.2112 2022/06/29 00:07:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:08:22 - mmengine - INFO - Epoch(val) [81][20/310] eta: 0:05:44 time: 1.111 data_time: 0.468 memory: 9746 2022/06/29 00:08:43 - mmengine - INFO - Epoch(val) [81][40/310] eta: 0:04:49 time: 1.122 data_time: 0.486 memory: 9746 2022/06/29 00:09:07 - mmengine - INFO - Epoch(val) [81][60/310] eta: 0:04:18 time: 1.064 data_time: 0.405 memory: 9746 2022/06/29 00:09:31 - mmengine - INFO - Epoch(val) [81][80/310] eta: 0:04:42 time: 0.968 data_time: 0.311 memory: 9746 2022/06/29 00:09:54 - mmengine - INFO - Epoch(val) [81][100/310] eta: 0:04:01 time: 2.123 data_time: 1.479 memory: 9746 2022/06/29 00:10:15 - mmengine - INFO - Epoch(val) [81][120/310] eta: 0:03:22 time: 1.139 data_time: 0.498 memory: 9746 2022/06/29 00:10:40 - mmengine - INFO - Epoch(val) [81][140/310] eta: 0:03:24 time: 1.009 data_time: 0.351 memory: 9746 2022/06/29 00:11:05 - mmengine - INFO - Epoch(val) [81][160/310] eta: 0:03:11 time: 3.199 data_time: 2.535 memory: 9746 2022/06/29 00:11:28 - mmengine - INFO - Epoch(val) [81][180/310] eta: 0:02:51 time: 0.995 data_time: 0.346 memory: 9746 2022/06/29 00:11:51 - mmengine - INFO - Epoch(val) [81][200/310] eta: 0:02:00 time: 1.129 data_time: 0.486 memory: 9746 2022/06/29 00:12:12 - mmengine - INFO - Epoch(val) [81][220/310] eta: 0:01:39 time: 1.132 data_time: 0.459 memory: 9746 2022/06/29 00:12:33 - mmengine - INFO - Epoch(val) [81][240/310] eta: 0:01:13 time: 0.998 data_time: 0.347 memory: 9746 2022/06/29 00:12:55 - mmengine - INFO - Epoch(val) [81][260/310] eta: 0:00:56 time: 1.034 data_time: 0.414 memory: 9746 2022/06/29 00:13:19 - mmengine - INFO - Epoch(val) [81][280/310] eta: 0:00:34 time: 2.075 data_time: 1.417 memory: 9746 2022/06/29 00:13:39 - mmengine - INFO - Epoch(val) [81][300/310] eta: 0:00:08 time: 0.747 data_time: 0.151 memory: 9746 2022/06/29 00:13:52 - mmengine - INFO - Epoch(val) [81][310/310] acc/top1: 0.7175 acc/top5: 0.9036 acc/mean1: 0.7174 2022/06/29 00:14:00 - mmengine - INFO - Epoch(train) [82][20/3757] lr: 1.000e-04 eta: 5:16:29 time: 0.208 data_time: 0.008 memory: 9746 grad_norm: 10.8261 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/06/29 00:14:06 - mmengine - INFO - Epoch(train) [82][40/3757] lr: 1.000e-04 eta: 5:16:24 time: 0.211 data_time: 0.029 memory: 5150 grad_norm: 8.8178 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1540 loss: 1.1540 2022/06/29 00:14:11 - mmengine - INFO - Epoch(train) [82][60/3757] lr: 1.000e-04 eta: 5:16:19 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.3913 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1479 loss: 1.1479 2022/06/29 00:14:17 - mmengine - INFO - Epoch(train) [82][80/3757] lr: 1.000e-04 eta: 5:16:14 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.4818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/06/29 00:14:22 - mmengine - INFO - Epoch(train) [82][100/3757] lr: 1.000e-04 eta: 5:16:08 time: 0.209 data_time: 0.018 memory: 5150 grad_norm: 8.6349 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4776 loss: 1.4776 2022/06/29 00:14:27 - mmengine - INFO - Epoch(train) [82][120/3757] lr: 1.000e-04 eta: 5:16:03 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 9.8536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/06/29 00:14:32 - mmengine - INFO - Epoch(train) [82][140/3757] lr: 1.000e-04 eta: 5:15:57 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 9.2208 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/06/29 00:14:38 - mmengine - INFO - Epoch(train) [82][160/3757] lr: 1.000e-04 eta: 5:15:52 time: 0.205 data_time: 0.032 memory: 5150 grad_norm: 10.6014 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.0826 loss: 1.0826 2022/06/29 00:14:43 - mmengine - INFO - Epoch(train) [82][180/3757] lr: 1.000e-04 eta: 5:15:47 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 8.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/06/29 00:14:49 - mmengine - INFO - Epoch(train) [82][200/3757] lr: 1.000e-04 eta: 5:15:42 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 10.0383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1505 loss: 1.1505 2022/06/29 00:14:54 - mmengine - INFO - Epoch(train) [82][220/3757] lr: 1.000e-04 eta: 5:15:36 time: 0.203 data_time: 0.021 memory: 5150 grad_norm: 7.4836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/06/29 00:14:59 - mmengine - INFO - Epoch(train) [82][240/3757] lr: 1.000e-04 eta: 5:15:31 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 9.7446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0452 loss: 1.0452 2022/06/29 00:15:04 - mmengine - INFO - Epoch(train) [82][260/3757] lr: 1.000e-04 eta: 5:15:25 time: 0.210 data_time: 0.016 memory: 5150 grad_norm: 9.6353 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/06/29 00:15:10 - mmengine - INFO - Epoch(train) [82][280/3757] lr: 1.000e-04 eta: 5:15:20 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 9.8057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9772 loss: 0.9772 2022/06/29 00:15:15 - mmengine - INFO - Epoch(train) [82][300/3757] lr: 1.000e-04 eta: 5:15:15 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 8.1018 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2408 loss: 1.2408 2022/06/29 00:15:21 - mmengine - INFO - Epoch(train) [82][320/3757] lr: 1.000e-04 eta: 5:15:10 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 8.1625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1356 loss: 1.1356 2022/06/29 00:15:26 - mmengine - INFO - Epoch(train) [82][340/3757] lr: 1.000e-04 eta: 5:15:04 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.2304 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/06/29 00:15:31 - mmengine - INFO - Epoch(train) [82][360/3757] lr: 1.000e-04 eta: 5:14:59 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.9737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9435 loss: 0.9435 2022/06/29 00:15:36 - mmengine - INFO - Epoch(train) [82][380/3757] lr: 1.000e-04 eta: 5:14:54 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 7.6159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3323 loss: 1.3323 2022/06/29 00:15:42 - mmengine - INFO - Epoch(train) [82][400/3757] lr: 1.000e-04 eta: 5:14:48 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.4059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3143 loss: 1.3143 2022/06/29 00:15:47 - mmengine - INFO - Epoch(train) [82][420/3757] lr: 1.000e-04 eta: 5:14:43 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.0924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8656 loss: 0.8656 2022/06/29 00:15:52 - mmengine - INFO - Epoch(train) [82][440/3757] lr: 1.000e-04 eta: 5:14:38 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 8.4142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2191 loss: 1.2191 2022/06/29 00:15:58 - mmengine - INFO - Epoch(train) [82][460/3757] lr: 1.000e-04 eta: 5:14:32 time: 0.240 data_time: 0.011 memory: 5150 grad_norm: 8.5592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3580 loss: 1.3580 2022/06/29 00:16:03 - mmengine - INFO - Epoch(train) [82][480/3757] lr: 1.000e-04 eta: 5:14:27 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.7812 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6507 loss: 1.6507 2022/06/29 00:16:09 - mmengine - INFO - Epoch(train) [82][500/3757] lr: 1.000e-04 eta: 5:14:22 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1496 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9439 loss: 0.9439 2022/06/29 00:16:14 - mmengine - INFO - Epoch(train) [82][520/3757] lr: 1.000e-04 eta: 5:14:16 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.0168 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3733 loss: 1.3733 2022/06/29 00:16:19 - mmengine - INFO - Epoch(train) [82][540/3757] lr: 1.000e-04 eta: 5:14:11 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 10.0303 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1448 loss: 1.1448 2022/06/29 00:16:24 - mmengine - INFO - Epoch(train) [82][560/3757] lr: 1.000e-04 eta: 5:14:06 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.0232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7781 loss: 0.7781 2022/06/29 00:16:30 - mmengine - INFO - Epoch(train) [82][580/3757] lr: 1.000e-04 eta: 5:14:00 time: 0.222 data_time: 0.051 memory: 5150 grad_norm: 9.0533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5610 loss: 1.5610 2022/06/29 00:16:35 - mmengine - INFO - Epoch(train) [82][600/3757] lr: 1.000e-04 eta: 5:13:55 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 6.1670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2151 loss: 1.2151 2022/06/29 00:16:41 - mmengine - INFO - Epoch(train) [82][620/3757] lr: 1.000e-04 eta: 5:13:50 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1023 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4392 loss: 1.4392 2022/06/29 00:16:45 - mmengine - INFO - Epoch(train) [82][640/3757] lr: 1.000e-04 eta: 5:13:44 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 11.1756 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9498 loss: 0.9498 2022/06/29 00:16:50 - mmengine - INFO - Epoch(train) [82][660/3757] lr: 1.000e-04 eta: 5:13:39 time: 0.225 data_time: 0.009 memory: 5150 grad_norm: 8.9182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1949 loss: 1.1949 2022/06/29 00:16:56 - mmengine - INFO - Epoch(train) [82][680/3757] lr: 1.000e-04 eta: 5:13:34 time: 0.282 data_time: 0.007 memory: 5150 grad_norm: 10.7928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/06/29 00:16:57 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:17:02 - mmengine - INFO - Epoch(train) [82][700/3757] lr: 1.000e-04 eta: 5:13:28 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 8.7272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2218 loss: 1.2218 2022/06/29 00:17:06 - mmengine - INFO - Epoch(train) [82][720/3757] lr: 1.000e-04 eta: 5:13:23 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.8993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9446 loss: 0.9446 2022/06/29 00:17:12 - mmengine - INFO - Epoch(train) [82][740/3757] lr: 1.000e-04 eta: 5:13:18 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 9.2305 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2375 loss: 1.2375 2022/06/29 00:17:18 - mmengine - INFO - Epoch(train) [82][760/3757] lr: 1.000e-04 eta: 5:13:12 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.1879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2863 loss: 1.2863 2022/06/29 00:17:22 - mmengine - INFO - Epoch(train) [82][780/3757] lr: 1.000e-04 eta: 5:13:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0540 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2053 loss: 1.2053 2022/06/29 00:17:28 - mmengine - INFO - Epoch(train) [82][800/3757] lr: 1.000e-04 eta: 5:13:02 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 9.5060 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/06/29 00:17:34 - mmengine - INFO - Epoch(train) [82][820/3757] lr: 1.000e-04 eta: 5:12:56 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.3655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2038 loss: 1.2038 2022/06/29 00:17:39 - mmengine - INFO - Epoch(train) [82][840/3757] lr: 1.000e-04 eta: 5:12:51 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.1909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1361 loss: 1.1361 2022/06/29 00:17:44 - mmengine - INFO - Epoch(train) [82][860/3757] lr: 1.000e-04 eta: 5:12:46 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.5585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/06/29 00:17:49 - mmengine - INFO - Epoch(train) [82][880/3757] lr: 1.000e-04 eta: 5:12:40 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.1890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9809 loss: 0.9809 2022/06/29 00:17:54 - mmengine - INFO - Epoch(train) [82][900/3757] lr: 1.000e-04 eta: 5:12:35 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 11.1451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6563 loss: 1.6563 2022/06/29 00:18:00 - mmengine - INFO - Epoch(train) [82][920/3757] lr: 1.000e-04 eta: 5:12:30 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.9766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8053 loss: 0.8053 2022/06/29 00:18:05 - mmengine - INFO - Epoch(train) [82][940/3757] lr: 1.000e-04 eta: 5:12:24 time: 0.220 data_time: 0.019 memory: 5150 grad_norm: 7.9868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/06/29 00:18:10 - mmengine - INFO - Epoch(train) [82][960/3757] lr: 1.000e-04 eta: 5:12:19 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.0403 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2064 loss: 1.2064 2022/06/29 00:18:16 - mmengine - INFO - Epoch(train) [82][980/3757] lr: 1.000e-04 eta: 5:12:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.5672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/06/29 00:18:21 - mmengine - INFO - Epoch(train) [82][1000/3757] lr: 1.000e-04 eta: 5:12:08 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 8.3379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/06/29 00:18:26 - mmengine - INFO - Epoch(train) [82][1020/3757] lr: 1.000e-04 eta: 5:12:03 time: 0.330 data_time: 0.010 memory: 5150 grad_norm: 9.1135 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1528 loss: 1.1528 2022/06/29 00:18:32 - mmengine - INFO - Epoch(train) [82][1040/3757] lr: 1.000e-04 eta: 5:11:58 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3126 loss: 1.3126 2022/06/29 00:18:37 - mmengine - INFO - Epoch(train) [82][1060/3757] lr: 1.000e-04 eta: 5:11:52 time: 0.203 data_time: 0.026 memory: 5150 grad_norm: 7.9686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0548 loss: 1.0548 2022/06/29 00:18:42 - mmengine - INFO - Epoch(train) [82][1080/3757] lr: 1.000e-04 eta: 5:11:47 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 8.5456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/06/29 00:18:48 - mmengine - INFO - Epoch(train) [82][1100/3757] lr: 1.000e-04 eta: 5:11:42 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.1097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0790 loss: 1.0790 2022/06/29 00:18:53 - mmengine - INFO - Epoch(train) [82][1120/3757] lr: 1.000e-04 eta: 5:11:36 time: 0.209 data_time: 0.031 memory: 5150 grad_norm: 8.3492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0402 loss: 1.0402 2022/06/29 00:18:58 - mmengine - INFO - Epoch(train) [82][1140/3757] lr: 1.000e-04 eta: 5:11:31 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 8.2734 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7825 loss: 0.7825 2022/06/29 00:19:03 - mmengine - INFO - Epoch(train) [82][1160/3757] lr: 1.000e-04 eta: 5:11:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.3351 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1155 loss: 1.1155 2022/06/29 00:19:09 - mmengine - INFO - Epoch(train) [82][1180/3757] lr: 1.000e-04 eta: 5:11:20 time: 0.476 data_time: 0.043 memory: 5150 grad_norm: 9.2097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9287 loss: 0.9287 2022/06/29 00:19:14 - mmengine - INFO - Epoch(train) [82][1200/3757] lr: 1.000e-04 eta: 5:11:15 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.7641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2117 loss: 1.2117 2022/06/29 00:19:19 - mmengine - INFO - Epoch(train) [82][1220/3757] lr: 1.000e-04 eta: 5:11:10 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.0939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1332 loss: 1.1332 2022/06/29 00:19:25 - mmengine - INFO - Epoch(train) [82][1240/3757] lr: 1.000e-04 eta: 5:11:04 time: 0.224 data_time: 0.027 memory: 5150 grad_norm: 8.7890 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2019 loss: 1.2019 2022/06/29 00:19:30 - mmengine - INFO - Epoch(train) [82][1260/3757] lr: 1.000e-04 eta: 5:10:59 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 9.1403 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5225 loss: 1.5225 2022/06/29 00:19:35 - mmengine - INFO - Epoch(train) [82][1280/3757] lr: 1.000e-04 eta: 5:10:54 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.4091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0266 loss: 1.0266 2022/06/29 00:19:41 - mmengine - INFO - Epoch(train) [82][1300/3757] lr: 1.000e-04 eta: 5:10:48 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 9.5480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2380 loss: 1.2380 2022/06/29 00:19:46 - mmengine - INFO - Epoch(train) [82][1320/3757] lr: 1.000e-04 eta: 5:10:43 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 8.3285 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4158 loss: 1.4158 2022/06/29 00:19:51 - mmengine - INFO - Epoch(train) [82][1340/3757] lr: 1.000e-04 eta: 5:10:38 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.5198 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3085 loss: 1.3085 2022/06/29 00:19:57 - mmengine - INFO - Epoch(train) [82][1360/3757] lr: 1.000e-04 eta: 5:10:32 time: 0.558 data_time: 0.154 memory: 5150 grad_norm: 8.9753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/06/29 00:20:01 - mmengine - INFO - Epoch(train) [82][1380/3757] lr: 1.000e-04 eta: 5:10:27 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 8.1438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0489 loss: 1.0489 2022/06/29 00:20:07 - mmengine - INFO - Epoch(train) [82][1400/3757] lr: 1.000e-04 eta: 5:10:22 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.9518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0119 loss: 1.0119 2022/06/29 00:20:13 - mmengine - INFO - Epoch(train) [82][1420/3757] lr: 1.000e-04 eta: 5:10:17 time: 0.213 data_time: 0.028 memory: 5150 grad_norm: 9.4663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3159 loss: 1.3159 2022/06/29 00:20:18 - mmengine - INFO - Epoch(train) [82][1440/3757] lr: 1.000e-04 eta: 5:10:11 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.0834 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3989 loss: 1.3989 2022/06/29 00:20:24 - mmengine - INFO - Epoch(train) [82][1460/3757] lr: 1.000e-04 eta: 5:10:06 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.5442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/06/29 00:20:29 - mmengine - INFO - Epoch(train) [82][1480/3757] lr: 1.000e-04 eta: 5:10:01 time: 0.215 data_time: 0.037 memory: 5150 grad_norm: 9.4036 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2139 loss: 1.2139 2022/06/29 00:20:34 - mmengine - INFO - Epoch(train) [82][1500/3757] lr: 1.000e-04 eta: 5:09:55 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.0449 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3956 loss: 1.3956 2022/06/29 00:20:40 - mmengine - INFO - Epoch(train) [82][1520/3757] lr: 1.000e-04 eta: 5:09:50 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 8.4785 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0481 loss: 1.0481 2022/06/29 00:20:45 - mmengine - INFO - Epoch(train) [82][1540/3757] lr: 1.000e-04 eta: 5:09:45 time: 0.203 data_time: 0.025 memory: 5150 grad_norm: 10.3114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9989 loss: 0.9989 2022/06/29 00:20:50 - mmengine - INFO - Epoch(train) [82][1560/3757] lr: 1.000e-04 eta: 5:09:39 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.7799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1490 loss: 1.1490 2022/06/29 00:20:56 - mmengine - INFO - Epoch(train) [82][1580/3757] lr: 1.000e-04 eta: 5:09:34 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.6653 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2486 loss: 1.2486 2022/06/29 00:21:01 - mmengine - INFO - Epoch(train) [82][1600/3757] lr: 1.000e-04 eta: 5:09:29 time: 0.216 data_time: 0.036 memory: 5150 grad_norm: 9.3193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/06/29 00:21:06 - mmengine - INFO - Epoch(train) [82][1620/3757] lr: 1.000e-04 eta: 5:09:23 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.7886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3588 loss: 1.3588 2022/06/29 00:21:12 - mmengine - INFO - Epoch(train) [82][1640/3757] lr: 1.000e-04 eta: 5:09:18 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.8763 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3245 loss: 1.3245 2022/06/29 00:21:17 - mmengine - INFO - Epoch(train) [82][1660/3757] lr: 1.000e-04 eta: 5:09:13 time: 0.215 data_time: 0.026 memory: 5150 grad_norm: 7.9765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2026 loss: 1.2026 2022/06/29 00:21:22 - mmengine - INFO - Epoch(train) [82][1680/3757] lr: 1.000e-04 eta: 5:09:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.5590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1080 loss: 1.1080 2022/06/29 00:21:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:21:27 - mmengine - INFO - Epoch(train) [82][1700/3757] lr: 1.000e-04 eta: 5:09:02 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.7630 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2194 loss: 1.2194 2022/06/29 00:21:33 - mmengine - INFO - Epoch(train) [82][1720/3757] lr: 1.000e-04 eta: 5:08:57 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 9.3156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3056 loss: 1.3056 2022/06/29 00:21:38 - mmengine - INFO - Epoch(train) [82][1740/3757] lr: 1.000e-04 eta: 5:08:51 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.3718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1054 loss: 1.1054 2022/06/29 00:21:43 - mmengine - INFO - Epoch(train) [82][1760/3757] lr: 1.000e-04 eta: 5:08:46 time: 0.383 data_time: 0.007 memory: 5150 grad_norm: 8.1401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9381 loss: 0.9381 2022/06/29 00:21:49 - mmengine - INFO - Epoch(train) [82][1780/3757] lr: 1.000e-04 eta: 5:08:41 time: 0.209 data_time: 0.032 memory: 5150 grad_norm: 8.6768 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8745 loss: 0.8745 2022/06/29 00:21:54 - mmengine - INFO - Epoch(train) [82][1800/3757] lr: 1.000e-04 eta: 5:08:35 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2403 loss: 1.2403 2022/06/29 00:21:59 - mmengine - INFO - Epoch(train) [82][1820/3757] lr: 1.000e-04 eta: 5:08:30 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 7.7479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/06/29 00:22:05 - mmengine - INFO - Epoch(train) [82][1840/3757] lr: 1.000e-04 eta: 5:08:25 time: 0.206 data_time: 0.023 memory: 5150 grad_norm: 8.3276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9887 loss: 0.9887 2022/06/29 00:22:10 - mmengine - INFO - Epoch(train) [82][1860/3757] lr: 1.000e-04 eta: 5:08:19 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 10.3123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4831 loss: 1.4831 2022/06/29 00:22:15 - mmengine - INFO - Epoch(train) [82][1880/3757] lr: 1.000e-04 eta: 5:08:14 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 8.9714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2151 loss: 1.2151 2022/06/29 00:22:20 - mmengine - INFO - Epoch(train) [82][1900/3757] lr: 1.000e-04 eta: 5:08:09 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 8.2648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4825 loss: 1.4825 2022/06/29 00:22:25 - mmengine - INFO - Epoch(train) [82][1920/3757] lr: 1.000e-04 eta: 5:08:03 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8476 loss: 0.8476 2022/06/29 00:22:31 - mmengine - INFO - Epoch(train) [82][1940/3757] lr: 1.000e-04 eta: 5:07:58 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 10.5323 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0541 loss: 1.0541 2022/06/29 00:22:36 - mmengine - INFO - Epoch(train) [82][1960/3757] lr: 1.000e-04 eta: 5:07:53 time: 0.264 data_time: 0.031 memory: 5150 grad_norm: 8.1474 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1492 loss: 1.1492 2022/06/29 00:22:41 - mmengine - INFO - Epoch(train) [82][1980/3757] lr: 1.000e-04 eta: 5:07:47 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.2398 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2302 loss: 1.2302 2022/06/29 00:22:47 - mmengine - INFO - Epoch(train) [82][2000/3757] lr: 1.000e-04 eta: 5:07:42 time: 0.224 data_time: 0.011 memory: 5150 grad_norm: 8.1009 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9592 loss: 0.9592 2022/06/29 00:22:52 - mmengine - INFO - Epoch(train) [82][2020/3757] lr: 1.000e-04 eta: 5:07:37 time: 0.196 data_time: 0.022 memory: 5150 grad_norm: 8.1627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/06/29 00:22:58 - mmengine - INFO - Epoch(train) [82][2040/3757] lr: 1.000e-04 eta: 5:07:31 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 8.5089 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/06/29 00:23:03 - mmengine - INFO - Epoch(train) [82][2060/3757] lr: 1.000e-04 eta: 5:07:26 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.4721 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/06/29 00:23:08 - mmengine - INFO - Epoch(train) [82][2080/3757] lr: 1.000e-04 eta: 5:07:21 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 7.7264 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1425 loss: 1.1425 2022/06/29 00:23:13 - mmengine - INFO - Epoch(train) [82][2100/3757] lr: 1.000e-04 eta: 5:07:15 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.3785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5105 loss: 1.5105 2022/06/29 00:23:19 - mmengine - INFO - Epoch(train) [82][2120/3757] lr: 1.000e-04 eta: 5:07:10 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 8.4271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/06/29 00:23:24 - mmengine - INFO - Epoch(train) [82][2140/3757] lr: 1.000e-04 eta: 5:07:05 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 9.3433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7781 loss: 1.7781 2022/06/29 00:23:30 - mmengine - INFO - Epoch(train) [82][2160/3757] lr: 1.000e-04 eta: 5:06:59 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/06/29 00:23:35 - mmengine - INFO - Epoch(train) [82][2180/3757] lr: 1.000e-04 eta: 5:06:54 time: 0.214 data_time: 0.010 memory: 5150 grad_norm: 7.1979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/06/29 00:23:40 - mmengine - INFO - Epoch(train) [82][2200/3757] lr: 1.000e-04 eta: 5:06:49 time: 0.474 data_time: 0.014 memory: 5150 grad_norm: 7.8060 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0771 loss: 1.0771 2022/06/29 00:23:46 - mmengine - INFO - Epoch(train) [82][2220/3757] lr: 1.000e-04 eta: 5:06:43 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.8803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1004 loss: 1.1004 2022/06/29 00:23:51 - mmengine - INFO - Epoch(train) [82][2240/3757] lr: 1.000e-04 eta: 5:06:38 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.7675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2710 loss: 1.2710 2022/06/29 00:23:57 - mmengine - INFO - Epoch(train) [82][2260/3757] lr: 1.000e-04 eta: 5:06:33 time: 0.216 data_time: 0.030 memory: 5150 grad_norm: 9.4477 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2753 loss: 1.2753 2022/06/29 00:24:02 - mmengine - INFO - Epoch(train) [82][2280/3757] lr: 1.000e-04 eta: 5:06:27 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 9.3617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3096 loss: 1.3096 2022/06/29 00:24:08 - mmengine - INFO - Epoch(train) [82][2300/3757] lr: 1.000e-04 eta: 5:06:22 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.7187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3157 loss: 1.3157 2022/06/29 00:24:13 - mmengine - INFO - Epoch(train) [82][2320/3757] lr: 1.000e-04 eta: 5:06:17 time: 0.770 data_time: 0.008 memory: 5150 grad_norm: 9.1253 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0053 loss: 1.0053 2022/06/29 00:24:18 - mmengine - INFO - Epoch(train) [82][2340/3757] lr: 1.000e-04 eta: 5:06:12 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.1613 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4869 loss: 1.4869 2022/06/29 00:24:23 - mmengine - INFO - Epoch(train) [82][2360/3757] lr: 1.000e-04 eta: 5:06:06 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 9.7007 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1112 loss: 1.1112 2022/06/29 00:24:28 - mmengine - INFO - Epoch(train) [82][2380/3757] lr: 1.000e-04 eta: 5:06:01 time: 0.325 data_time: 0.007 memory: 5150 grad_norm: 8.2153 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5466 loss: 1.5466 2022/06/29 00:24:34 - mmengine - INFO - Epoch(train) [82][2400/3757] lr: 1.000e-04 eta: 5:05:56 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.7443 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1209 loss: 1.1209 2022/06/29 00:24:39 - mmengine - INFO - Epoch(train) [82][2420/3757] lr: 1.000e-04 eta: 5:05:50 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 8.7463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2094 loss: 1.2094 2022/06/29 00:24:44 - mmengine - INFO - Epoch(train) [82][2440/3757] lr: 1.000e-04 eta: 5:05:45 time: 0.274 data_time: 0.008 memory: 5150 grad_norm: 7.9047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/06/29 00:24:50 - mmengine - INFO - Epoch(train) [82][2460/3757] lr: 1.000e-04 eta: 5:05:40 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.8192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9341 loss: 0.9341 2022/06/29 00:24:55 - mmengine - INFO - Epoch(train) [82][2480/3757] lr: 1.000e-04 eta: 5:05:34 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 9.8555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/06/29 00:25:01 - mmengine - INFO - Epoch(train) [82][2500/3757] lr: 1.000e-04 eta: 5:05:29 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.7013 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1810 loss: 1.1810 2022/06/29 00:25:06 - mmengine - INFO - Epoch(train) [82][2520/3757] lr: 1.000e-04 eta: 5:05:24 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 9.0730 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1476 loss: 1.1476 2022/06/29 00:25:11 - mmengine - INFO - Epoch(train) [82][2540/3757] lr: 1.000e-04 eta: 5:05:18 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/06/29 00:25:18 - mmengine - INFO - Epoch(train) [82][2560/3757] lr: 1.000e-04 eta: 5:05:13 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.8735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0654 loss: 1.0654 2022/06/29 00:25:22 - mmengine - INFO - Epoch(train) [82][2580/3757] lr: 1.000e-04 eta: 5:05:08 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7413 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9723 loss: 0.9723 2022/06/29 00:25:27 - mmengine - INFO - Epoch(train) [82][2600/3757] lr: 1.000e-04 eta: 5:05:02 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.7625 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2615 loss: 1.2615 2022/06/29 00:25:33 - mmengine - INFO - Epoch(train) [82][2620/3757] lr: 1.000e-04 eta: 5:04:57 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.4037 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/06/29 00:25:38 - mmengine - INFO - Epoch(train) [82][2640/3757] lr: 1.000e-04 eta: 5:04:52 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.7785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/06/29 00:25:43 - mmengine - INFO - Epoch(train) [82][2660/3757] lr: 1.000e-04 eta: 5:04:46 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.2121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0691 loss: 1.0691 2022/06/29 00:25:49 - mmengine - INFO - Epoch(train) [82][2680/3757] lr: 1.000e-04 eta: 5:04:41 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.1989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/06/29 00:25:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:25:54 - mmengine - INFO - Epoch(train) [82][2700/3757] lr: 1.000e-04 eta: 5:04:36 time: 0.372 data_time: 0.200 memory: 5150 grad_norm: 8.4875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9860 loss: 0.9860 2022/06/29 00:26:00 - mmengine - INFO - Epoch(train) [82][2720/3757] lr: 1.000e-04 eta: 5:04:31 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.7727 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3625 loss: 1.3625 2022/06/29 00:26:05 - mmengine - INFO - Epoch(train) [82][2740/3757] lr: 1.000e-04 eta: 5:04:25 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.8824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2834 loss: 1.2834 2022/06/29 00:26:10 - mmengine - INFO - Epoch(train) [82][2760/3757] lr: 1.000e-04 eta: 5:04:20 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 7.9757 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1974 loss: 1.1974 2022/06/29 00:26:16 - mmengine - INFO - Epoch(train) [82][2780/3757] lr: 1.000e-04 eta: 5:04:15 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1843 loss: 1.1843 2022/06/29 00:26:22 - mmengine - INFO - Epoch(train) [82][2800/3757] lr: 1.000e-04 eta: 5:04:09 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 9.8201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0458 loss: 1.0458 2022/06/29 00:26:27 - mmengine - INFO - Epoch(train) [82][2820/3757] lr: 1.000e-04 eta: 5:04:04 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 8.9240 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8555 loss: 0.8555 2022/06/29 00:26:32 - mmengine - INFO - Epoch(train) [82][2840/3757] lr: 1.000e-04 eta: 5:03:59 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.8078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3325 loss: 1.3325 2022/06/29 00:26:38 - mmengine - INFO - Epoch(train) [82][2860/3757] lr: 1.000e-04 eta: 5:03:54 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.3814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1820 loss: 1.1820 2022/06/29 00:26:42 - mmengine - INFO - Epoch(train) [82][2880/3757] lr: 1.000e-04 eta: 5:03:48 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.5941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3017 loss: 1.3017 2022/06/29 00:26:48 - mmengine - INFO - Epoch(train) [82][2900/3757] lr: 1.000e-04 eta: 5:03:43 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 11.7248 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.1435 loss: 1.1435 2022/06/29 00:26:53 - mmengine - INFO - Epoch(train) [82][2920/3757] lr: 1.000e-04 eta: 5:03:37 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 8.3426 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1127 loss: 1.1127 2022/06/29 00:26:58 - mmengine - INFO - Epoch(train) [82][2940/3757] lr: 1.000e-04 eta: 5:03:32 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 10.5142 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1991 loss: 1.1991 2022/06/29 00:27:04 - mmengine - INFO - Epoch(train) [82][2960/3757] lr: 1.000e-04 eta: 5:03:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7311 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/06/29 00:27:09 - mmengine - INFO - Epoch(train) [82][2980/3757] lr: 1.000e-04 eta: 5:03:21 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.4090 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2914 loss: 1.2914 2022/06/29 00:27:14 - mmengine - INFO - Epoch(train) [82][3000/3757] lr: 1.000e-04 eta: 5:03:16 time: 0.219 data_time: 0.020 memory: 5150 grad_norm: 8.8375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/06/29 00:27:20 - mmengine - INFO - Epoch(train) [82][3020/3757] lr: 1.000e-04 eta: 5:03:11 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.0574 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3710 loss: 1.3710 2022/06/29 00:27:25 - mmengine - INFO - Epoch(train) [82][3040/3757] lr: 1.000e-04 eta: 5:03:05 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 9.3655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8878 loss: 0.8878 2022/06/29 00:27:30 - mmengine - INFO - Epoch(train) [82][3060/3757] lr: 1.000e-04 eta: 5:03:00 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 9.1829 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3263 loss: 1.3263 2022/06/29 00:27:35 - mmengine - INFO - Epoch(train) [82][3080/3757] lr: 1.000e-04 eta: 5:02:55 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 10.6885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1244 loss: 1.1244 2022/06/29 00:27:41 - mmengine - INFO - Epoch(train) [82][3100/3757] lr: 1.000e-04 eta: 5:02:49 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.2735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0415 loss: 1.0415 2022/06/29 00:27:45 - mmengine - INFO - Epoch(train) [82][3120/3757] lr: 1.000e-04 eta: 5:02:44 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 6.5429 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2942 loss: 1.2942 2022/06/29 00:27:51 - mmengine - INFO - Epoch(train) [82][3140/3757] lr: 1.000e-04 eta: 5:02:39 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.9347 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8977 loss: 0.8977 2022/06/29 00:27:56 - mmengine - INFO - Epoch(train) [82][3160/3757] lr: 1.000e-04 eta: 5:02:33 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.6639 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/06/29 00:28:01 - mmengine - INFO - Epoch(train) [82][3180/3757] lr: 1.000e-04 eta: 5:02:28 time: 0.200 data_time: 0.021 memory: 5150 grad_norm: 9.3403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3515 loss: 1.3515 2022/06/29 00:28:07 - mmengine - INFO - Epoch(train) [82][3200/3757] lr: 1.000e-04 eta: 5:02:23 time: 0.216 data_time: 0.009 memory: 5150 grad_norm: 8.7196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3039 loss: 1.3039 2022/06/29 00:28:12 - mmengine - INFO - Epoch(train) [82][3220/3757] lr: 1.000e-04 eta: 5:02:17 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.2244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1784 loss: 1.1784 2022/06/29 00:28:18 - mmengine - INFO - Epoch(train) [82][3240/3757] lr: 1.000e-04 eta: 5:02:12 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 7.7445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/06/29 00:28:23 - mmengine - INFO - Epoch(train) [82][3260/3757] lr: 1.000e-04 eta: 5:02:07 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.0040 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2544 loss: 1.2544 2022/06/29 00:28:28 - mmengine - INFO - Epoch(train) [82][3280/3757] lr: 1.000e-04 eta: 5:02:01 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.2944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/06/29 00:28:34 - mmengine - INFO - Epoch(train) [82][3300/3757] lr: 1.000e-04 eta: 5:01:56 time: 0.203 data_time: 0.024 memory: 5150 grad_norm: 7.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5391 loss: 1.5391 2022/06/29 00:28:40 - mmengine - INFO - Epoch(train) [82][3320/3757] lr: 1.000e-04 eta: 5:01:51 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 6.8686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4154 loss: 1.4154 2022/06/29 00:28:44 - mmengine - INFO - Epoch(train) [82][3340/3757] lr: 1.000e-04 eta: 5:01:45 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.0503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1738 loss: 1.1738 2022/06/29 00:28:50 - mmengine - INFO - Epoch(train) [82][3360/3757] lr: 1.000e-04 eta: 5:01:40 time: 0.203 data_time: 0.024 memory: 5150 grad_norm: 6.7650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1652 loss: 1.1652 2022/06/29 00:28:55 - mmengine - INFO - Epoch(train) [82][3380/3757] lr: 1.000e-04 eta: 5:01:35 time: 0.575 data_time: 0.009 memory: 5150 grad_norm: 7.9955 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3398 loss: 1.3398 2022/06/29 00:29:00 - mmengine - INFO - Epoch(train) [82][3400/3757] lr: 1.000e-04 eta: 5:01:29 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.9546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1469 loss: 1.1469 2022/06/29 00:29:06 - mmengine - INFO - Epoch(train) [82][3420/3757] lr: 1.000e-04 eta: 5:01:24 time: 0.470 data_time: 0.300 memory: 5150 grad_norm: 9.5721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4458 loss: 1.4458 2022/06/29 00:29:11 - mmengine - INFO - Epoch(train) [82][3440/3757] lr: 1.000e-04 eta: 5:01:19 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.0012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8772 loss: 0.8772 2022/06/29 00:29:16 - mmengine - INFO - Epoch(train) [82][3460/3757] lr: 1.000e-04 eta: 5:01:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.7220 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8067 loss: 0.8067 2022/06/29 00:29:22 - mmengine - INFO - Epoch(train) [82][3480/3757] lr: 1.000e-04 eta: 5:01:08 time: 0.229 data_time: 0.047 memory: 5150 grad_norm: 9.8551 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1286 loss: 1.1286 2022/06/29 00:29:27 - mmengine - INFO - Epoch(train) [82][3500/3757] lr: 1.000e-04 eta: 5:01:03 time: 0.219 data_time: 0.009 memory: 5150 grad_norm: 8.7044 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1747 loss: 1.1747 2022/06/29 00:29:32 - mmengine - INFO - Epoch(train) [82][3520/3757] lr: 1.000e-04 eta: 5:00:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.8409 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1388 loss: 1.1388 2022/06/29 00:29:37 - mmengine - INFO - Epoch(train) [82][3540/3757] lr: 1.000e-04 eta: 5:00:52 time: 0.227 data_time: 0.045 memory: 5150 grad_norm: 8.7602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1826 loss: 1.1826 2022/06/29 00:29:43 - mmengine - INFO - Epoch(train) [82][3560/3757] lr: 1.000e-04 eta: 5:00:47 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.1928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0674 loss: 1.0674 2022/06/29 00:29:48 - mmengine - INFO - Epoch(train) [82][3580/3757] lr: 1.000e-04 eta: 5:00:41 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 9.6335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9438 loss: 0.9438 2022/06/29 00:29:54 - mmengine - INFO - Epoch(train) [82][3600/3757] lr: 1.000e-04 eta: 5:00:36 time: 0.206 data_time: 0.022 memory: 5150 grad_norm: 7.6554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1533 loss: 1.1533 2022/06/29 00:29:59 - mmengine - INFO - Epoch(train) [82][3620/3757] lr: 1.000e-04 eta: 5:00:31 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.9378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/06/29 00:30:05 - mmengine - INFO - Epoch(train) [82][3640/3757] lr: 1.000e-04 eta: 5:00:26 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.0572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2342 loss: 1.2342 2022/06/29 00:30:10 - mmengine - INFO - Epoch(train) [82][3660/3757] lr: 1.000e-04 eta: 5:00:20 time: 0.216 data_time: 0.029 memory: 5150 grad_norm: 7.9015 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/06/29 00:30:15 - mmengine - INFO - Epoch(train) [82][3680/3757] lr: 1.000e-04 eta: 5:00:15 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 9.3119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6200 loss: 1.6200 2022/06/29 00:30:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:30:21 - mmengine - INFO - Epoch(train) [82][3700/3757] lr: 1.000e-04 eta: 5:00:10 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 9.5009 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4105 loss: 1.4105 2022/06/29 00:30:26 - mmengine - INFO - Epoch(train) [82][3720/3757] lr: 1.000e-04 eta: 5:00:04 time: 0.200 data_time: 0.024 memory: 5150 grad_norm: 8.1251 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1757 loss: 1.1757 2022/06/29 00:30:31 - mmengine - INFO - Epoch(train) [82][3740/3757] lr: 1.000e-04 eta: 4:59:59 time: 0.225 data_time: 0.054 memory: 5150 grad_norm: 7.5008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2417 loss: 1.2417 2022/06/29 00:30:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:31:08 - mmengine - INFO - Epoch(val) [82][20/310] eta: 0:05:41 time: 1.084 data_time: 0.448 memory: 9746 2022/06/29 00:31:29 - mmengine - INFO - Epoch(val) [82][40/310] eta: 0:04:41 time: 1.062 data_time: 0.417 memory: 9746 2022/06/29 00:31:53 - mmengine - INFO - Epoch(val) [82][60/310] eta: 0:04:23 time: 1.042 data_time: 0.406 memory: 9746 2022/06/29 00:32:16 - mmengine - INFO - Epoch(val) [82][80/310] eta: 0:04:22 time: 1.047 data_time: 0.391 memory: 9746 2022/06/29 00:32:40 - mmengine - INFO - Epoch(val) [82][100/310] eta: 0:04:08 time: 2.170 data_time: 1.502 memory: 9746 2022/06/29 00:33:01 - mmengine - INFO - Epoch(val) [82][120/310] eta: 0:03:19 time: 1.077 data_time: 0.420 memory: 9746 2022/06/29 00:33:25 - mmengine - INFO - Epoch(val) [82][140/310] eta: 0:03:27 time: 1.013 data_time: 0.359 memory: 9746 2022/06/29 00:33:50 - mmengine - INFO - Epoch(val) [82][160/310] eta: 0:03:14 time: 3.670 data_time: 2.983 memory: 9746 2022/06/29 00:34:13 - mmengine - INFO - Epoch(val) [82][180/310] eta: 0:02:51 time: 0.981 data_time: 0.323 memory: 9746 2022/06/29 00:34:36 - mmengine - INFO - Epoch(val) [82][200/310] eta: 0:02:13 time: 1.122 data_time: 0.467 memory: 9746 2022/06/29 00:34:58 - mmengine - INFO - Epoch(val) [82][220/310] eta: 0:01:36 time: 1.251 data_time: 0.374 memory: 9746 2022/06/29 00:35:19 - mmengine - INFO - Epoch(val) [82][240/310] eta: 0:01:15 time: 1.094 data_time: 0.445 memory: 9746 2022/06/29 00:35:43 - mmengine - INFO - Epoch(val) [82][260/310] eta: 0:00:58 time: 0.966 data_time: 0.319 memory: 9746 2022/06/29 00:36:07 - mmengine - INFO - Epoch(val) [82][280/310] eta: 0:00:35 time: 2.381 data_time: 1.717 memory: 9746 2022/06/29 00:36:26 - mmengine - INFO - Epoch(val) [82][300/310] eta: 0:00:08 time: 0.634 data_time: 0.069 memory: 9746 2022/06/29 00:36:38 - mmengine - INFO - Epoch(val) [82][310/310] acc/top1: 0.7203 acc/top5: 0.9041 acc/mean1: 0.7202 2022/06/29 00:36:47 - mmengine - INFO - Epoch(train) [83][20/3757] lr: 1.000e-04 eta: 4:59:49 time: 0.198 data_time: 0.008 memory: 9746 grad_norm: 8.8069 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1188 loss: 1.1188 2022/06/29 00:36:53 - mmengine - INFO - Epoch(train) [83][40/3757] lr: 1.000e-04 eta: 4:59:44 time: 0.200 data_time: 0.028 memory: 5150 grad_norm: 9.4638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9455 loss: 0.9455 2022/06/29 00:36:57 - mmengine - INFO - Epoch(train) [83][60/3757] lr: 1.000e-04 eta: 4:59:39 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.6041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/06/29 00:37:03 - mmengine - INFO - Epoch(train) [83][80/3757] lr: 1.000e-04 eta: 4:59:33 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.8618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3319 loss: 1.3319 2022/06/29 00:37:09 - mmengine - INFO - Epoch(train) [83][100/3757] lr: 1.000e-04 eta: 4:59:28 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.0330 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2137 loss: 1.2137 2022/06/29 00:37:14 - mmengine - INFO - Epoch(train) [83][120/3757] lr: 1.000e-04 eta: 4:59:23 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.3318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9954 loss: 0.9954 2022/06/29 00:37:20 - mmengine - INFO - Epoch(train) [83][140/3757] lr: 1.000e-04 eta: 4:59:18 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 7.9614 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0485 loss: 1.0485 2022/06/29 00:37:25 - mmengine - INFO - Epoch(train) [83][160/3757] lr: 1.000e-04 eta: 4:59:12 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/06/29 00:37:31 - mmengine - INFO - Epoch(train) [83][180/3757] lr: 1.000e-04 eta: 4:59:07 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.9693 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1946 loss: 1.1946 2022/06/29 00:37:36 - mmengine - INFO - Epoch(train) [83][200/3757] lr: 1.000e-04 eta: 4:59:02 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 10.0861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/06/29 00:37:42 - mmengine - INFO - Epoch(train) [83][220/3757] lr: 1.000e-04 eta: 4:58:56 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.7335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2115 loss: 1.2115 2022/06/29 00:37:46 - mmengine - INFO - Epoch(train) [83][240/3757] lr: 1.000e-04 eta: 4:58:51 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.6167 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3832 loss: 1.3832 2022/06/29 00:37:52 - mmengine - INFO - Epoch(train) [83][260/3757] lr: 1.000e-04 eta: 4:58:45 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 8.2618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/06/29 00:37:57 - mmengine - INFO - Epoch(train) [83][280/3757] lr: 1.000e-04 eta: 4:58:40 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.8218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8567 loss: 0.8567 2022/06/29 00:38:02 - mmengine - INFO - Epoch(train) [83][300/3757] lr: 1.000e-04 eta: 4:58:35 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3826 loss: 1.3826 2022/06/29 00:38:08 - mmengine - INFO - Epoch(train) [83][320/3757] lr: 1.000e-04 eta: 4:58:30 time: 0.227 data_time: 0.011 memory: 5150 grad_norm: 8.1517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8888 loss: 0.8888 2022/06/29 00:38:13 - mmengine - INFO - Epoch(train) [83][340/3757] lr: 1.000e-04 eta: 4:58:24 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 8.6066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1229 loss: 1.1229 2022/06/29 00:38:18 - mmengine - INFO - Epoch(train) [83][360/3757] lr: 1.000e-04 eta: 4:58:19 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.7127 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8892 loss: 0.8892 2022/06/29 00:38:24 - mmengine - INFO - Epoch(train) [83][380/3757] lr: 1.000e-04 eta: 4:58:14 time: 0.282 data_time: 0.007 memory: 5150 grad_norm: 7.9139 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9833 loss: 0.9833 2022/06/29 00:38:29 - mmengine - INFO - Epoch(train) [83][400/3757] lr: 1.000e-04 eta: 4:58:08 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1150 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3473 loss: 1.3473 2022/06/29 00:38:34 - mmengine - INFO - Epoch(train) [83][420/3757] lr: 1.000e-04 eta: 4:58:03 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.7462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1427 loss: 1.1427 2022/06/29 00:38:40 - mmengine - INFO - Epoch(train) [83][440/3757] lr: 1.000e-04 eta: 4:57:58 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 7.8107 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4159 loss: 1.4159 2022/06/29 00:38:46 - mmengine - INFO - Epoch(train) [83][460/3757] lr: 1.000e-04 eta: 4:57:52 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 9.0117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2484 loss: 1.2484 2022/06/29 00:38:50 - mmengine - INFO - Epoch(train) [83][480/3757] lr: 1.000e-04 eta: 4:57:47 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.7758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2932 loss: 1.2932 2022/06/29 00:38:56 - mmengine - INFO - Epoch(train) [83][500/3757] lr: 1.000e-04 eta: 4:57:42 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 10.6946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/06/29 00:39:02 - mmengine - INFO - Epoch(train) [83][520/3757] lr: 1.000e-04 eta: 4:57:36 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.6060 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0249 loss: 1.0249 2022/06/29 00:39:06 - mmengine - INFO - Epoch(train) [83][540/3757] lr: 1.000e-04 eta: 4:57:31 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 10.7918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3220 loss: 1.3220 2022/06/29 00:39:12 - mmengine - INFO - Epoch(train) [83][560/3757] lr: 1.000e-04 eta: 4:57:26 time: 0.206 data_time: 0.022 memory: 5150 grad_norm: 9.0372 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/06/29 00:39:18 - mmengine - INFO - Epoch(train) [83][580/3757] lr: 1.000e-04 eta: 4:57:20 time: 0.264 data_time: 0.008 memory: 5150 grad_norm: 9.9902 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7286 loss: 0.7286 2022/06/29 00:39:23 - mmengine - INFO - Epoch(train) [83][600/3757] lr: 1.000e-04 eta: 4:57:15 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.7912 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/06/29 00:39:28 - mmengine - INFO - Epoch(train) [83][620/3757] lr: 1.000e-04 eta: 4:57:10 time: 0.213 data_time: 0.027 memory: 5150 grad_norm: 9.5262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1048 loss: 1.1048 2022/06/29 00:39:34 - mmengine - INFO - Epoch(train) [83][640/3757] lr: 1.000e-04 eta: 4:57:05 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1313 loss: 1.1313 2022/06/29 00:39:39 - mmengine - INFO - Epoch(train) [83][660/3757] lr: 1.000e-04 eta: 4:56:59 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.3122 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2097 loss: 1.2097 2022/06/29 00:39:45 - mmengine - INFO - Epoch(train) [83][680/3757] lr: 1.000e-04 eta: 4:56:54 time: 0.216 data_time: 0.022 memory: 5150 grad_norm: 9.5511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2351 loss: 1.2351 2022/06/29 00:39:50 - mmengine - INFO - Epoch(train) [83][700/3757] lr: 1.000e-04 eta: 4:56:49 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 9.9282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/06/29 00:39:55 - mmengine - INFO - Epoch(train) [83][720/3757] lr: 1.000e-04 eta: 4:56:43 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 8.9535 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4259 loss: 1.4259 2022/06/29 00:40:00 - mmengine - INFO - Epoch(train) [83][740/3757] lr: 1.000e-04 eta: 4:56:38 time: 0.219 data_time: 0.020 memory: 5150 grad_norm: 7.9478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4675 loss: 1.4675 2022/06/29 00:40:06 - mmengine - INFO - Epoch(train) [83][760/3757] lr: 1.000e-04 eta: 4:56:33 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 8.9583 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0594 loss: 1.0594 2022/06/29 00:40:11 - mmengine - INFO - Epoch(train) [83][780/3757] lr: 1.000e-04 eta: 4:56:27 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 7.7393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2503 loss: 1.2503 2022/06/29 00:40:16 - mmengine - INFO - Epoch(train) [83][800/3757] lr: 1.000e-04 eta: 4:56:22 time: 0.207 data_time: 0.021 memory: 5150 grad_norm: 7.7269 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/06/29 00:40:22 - mmengine - INFO - Epoch(train) [83][820/3757] lr: 1.000e-04 eta: 4:56:17 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 9.9206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/06/29 00:40:27 - mmengine - INFO - Epoch(train) [83][840/3757] lr: 1.000e-04 eta: 4:56:11 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 8.3876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8309 loss: 0.8309 2022/06/29 00:40:32 - mmengine - INFO - Epoch(train) [83][860/3757] lr: 1.000e-04 eta: 4:56:06 time: 0.209 data_time: 0.030 memory: 5150 grad_norm: 9.6354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2147 loss: 1.2147 2022/06/29 00:40:38 - mmengine - INFO - Epoch(train) [83][880/3757] lr: 1.000e-04 eta: 4:56:01 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 8.1793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1786 loss: 1.1786 2022/06/29 00:40:43 - mmengine - INFO - Epoch(train) [83][900/3757] lr: 1.000e-04 eta: 4:55:55 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 9.5371 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2626 loss: 1.2626 2022/06/29 00:40:48 - mmengine - INFO - Epoch(train) [83][920/3757] lr: 1.000e-04 eta: 4:55:50 time: 0.203 data_time: 0.028 memory: 5150 grad_norm: 8.6256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/06/29 00:40:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:40:53 - mmengine - INFO - Epoch(train) [83][940/3757] lr: 1.000e-04 eta: 4:55:45 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 8.0852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0708 loss: 1.0708 2022/06/29 00:41:00 - mmengine - INFO - Epoch(train) [83][960/3757] lr: 1.000e-04 eta: 4:55:39 time: 0.240 data_time: 0.012 memory: 5150 grad_norm: 9.5959 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3510 loss: 1.3510 2022/06/29 00:41:04 - mmengine - INFO - Epoch(train) [83][980/3757] lr: 1.000e-04 eta: 4:55:34 time: 0.206 data_time: 0.019 memory: 5150 grad_norm: 7.2775 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0772 loss: 1.0772 2022/06/29 00:41:09 - mmengine - INFO - Epoch(train) [83][1000/3757] lr: 1.000e-04 eta: 4:55:29 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 10.0116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0920 loss: 1.0920 2022/06/29 00:41:15 - mmengine - INFO - Epoch(train) [83][1020/3757] lr: 1.000e-04 eta: 4:55:23 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.4815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/06/29 00:41:20 - mmengine - INFO - Epoch(train) [83][1040/3757] lr: 1.000e-04 eta: 4:55:18 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 8.8946 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3771 loss: 1.3771 2022/06/29 00:41:25 - mmengine - INFO - Epoch(train) [83][1060/3757] lr: 1.000e-04 eta: 4:55:13 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 9.1924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/06/29 00:41:31 - mmengine - INFO - Epoch(train) [83][1080/3757] lr: 1.000e-04 eta: 4:55:07 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.9575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5134 loss: 1.5134 2022/06/29 00:41:36 - mmengine - INFO - Epoch(train) [83][1100/3757] lr: 1.000e-04 eta: 4:55:02 time: 0.225 data_time: 0.027 memory: 5150 grad_norm: 8.8901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/06/29 00:41:41 - mmengine - INFO - Epoch(train) [83][1120/3757] lr: 1.000e-04 eta: 4:54:57 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.8050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4445 loss: 1.4445 2022/06/29 00:41:47 - mmengine - INFO - Epoch(train) [83][1140/3757] lr: 1.000e-04 eta: 4:54:51 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 7.2693 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3589 loss: 1.3589 2022/06/29 00:41:52 - mmengine - INFO - Epoch(train) [83][1160/3757] lr: 1.000e-04 eta: 4:54:46 time: 0.441 data_time: 0.021 memory: 5150 grad_norm: 9.0906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3249 loss: 1.3249 2022/06/29 00:41:58 - mmengine - INFO - Epoch(train) [83][1180/3757] lr: 1.000e-04 eta: 4:54:41 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 8.1900 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/06/29 00:42:04 - mmengine - INFO - Epoch(train) [83][1200/3757] lr: 1.000e-04 eta: 4:54:36 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.1371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/06/29 00:42:09 - mmengine - INFO - Epoch(train) [83][1220/3757] lr: 1.000e-04 eta: 4:54:30 time: 0.209 data_time: 0.038 memory: 5150 grad_norm: 8.5740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0052 loss: 1.0052 2022/06/29 00:42:14 - mmengine - INFO - Epoch(train) [83][1240/3757] lr: 1.000e-04 eta: 4:54:25 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.7554 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/06/29 00:42:19 - mmengine - INFO - Epoch(train) [83][1260/3757] lr: 1.000e-04 eta: 4:54:20 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7694 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1640 loss: 1.1640 2022/06/29 00:42:24 - mmengine - INFO - Epoch(train) [83][1280/3757] lr: 1.000e-04 eta: 4:54:14 time: 0.393 data_time: 0.223 memory: 5150 grad_norm: 9.1389 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8654 loss: 0.8654 2022/06/29 00:42:30 - mmengine - INFO - Epoch(train) [83][1300/3757] lr: 1.000e-04 eta: 4:54:09 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.4055 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4600 loss: 1.4600 2022/06/29 00:42:35 - mmengine - INFO - Epoch(train) [83][1320/3757] lr: 1.000e-04 eta: 4:54:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.0571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9857 loss: 0.9857 2022/06/29 00:42:41 - mmengine - INFO - Epoch(train) [83][1340/3757] lr: 1.000e-04 eta: 4:53:58 time: 0.567 data_time: 0.390 memory: 5150 grad_norm: 9.0788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7957 loss: 0.7957 2022/06/29 00:42:46 - mmengine - INFO - Epoch(train) [83][1360/3757] lr: 1.000e-04 eta: 4:53:53 time: 0.737 data_time: 0.008 memory: 5150 grad_norm: 9.2361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/06/29 00:42:51 - mmengine - INFO - Epoch(train) [83][1380/3757] lr: 1.000e-04 eta: 4:53:48 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 6.8559 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3456 loss: 1.3456 2022/06/29 00:42:57 - mmengine - INFO - Epoch(train) [83][1400/3757] lr: 1.000e-04 eta: 4:53:42 time: 0.215 data_time: 0.034 memory: 5150 grad_norm: 9.2271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9406 loss: 0.9406 2022/06/29 00:43:03 - mmengine - INFO - Epoch(train) [83][1420/3757] lr: 1.000e-04 eta: 4:53:37 time: 0.813 data_time: 0.008 memory: 5150 grad_norm: 9.4209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2248 loss: 1.2248 2022/06/29 00:43:07 - mmengine - INFO - Epoch(train) [83][1440/3757] lr: 1.000e-04 eta: 4:53:32 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.3304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1644 loss: 1.1644 2022/06/29 00:43:13 - mmengine - INFO - Epoch(train) [83][1460/3757] lr: 1.000e-04 eta: 4:53:26 time: 0.219 data_time: 0.039 memory: 5150 grad_norm: 10.0343 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6053 loss: 1.6053 2022/06/29 00:43:18 - mmengine - INFO - Epoch(train) [83][1480/3757] lr: 1.000e-04 eta: 4:53:21 time: 0.579 data_time: 0.008 memory: 5150 grad_norm: 7.8093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5402 loss: 1.5402 2022/06/29 00:43:22 - mmengine - INFO - Epoch(train) [83][1500/3757] lr: 1.000e-04 eta: 4:53:15 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.6738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3285 loss: 1.3285 2022/06/29 00:43:28 - mmengine - INFO - Epoch(train) [83][1520/3757] lr: 1.000e-04 eta: 4:53:10 time: 0.445 data_time: 0.162 memory: 5150 grad_norm: 10.0685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2485 loss: 1.2485 2022/06/29 00:43:34 - mmengine - INFO - Epoch(train) [83][1540/3757] lr: 1.000e-04 eta: 4:53:05 time: 0.744 data_time: 0.007 memory: 5150 grad_norm: 9.3468 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2849 loss: 1.2849 2022/06/29 00:43:39 - mmengine - INFO - Epoch(train) [83][1560/3757] lr: 1.000e-04 eta: 4:53:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9823 loss: 0.9823 2022/06/29 00:43:45 - mmengine - INFO - Epoch(train) [83][1580/3757] lr: 1.000e-04 eta: 4:52:54 time: 0.232 data_time: 0.045 memory: 5150 grad_norm: 9.8465 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3087 loss: 1.3087 2022/06/29 00:43:50 - mmengine - INFO - Epoch(train) [83][1600/3757] lr: 1.000e-04 eta: 4:52:49 time: 0.544 data_time: 0.010 memory: 5150 grad_norm: 9.3826 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2348 loss: 1.2348 2022/06/29 00:43:55 - mmengine - INFO - Epoch(train) [83][1620/3757] lr: 1.000e-04 eta: 4:52:44 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.5277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2428 loss: 1.2428 2022/06/29 00:44:01 - mmengine - INFO - Epoch(train) [83][1640/3757] lr: 1.000e-04 eta: 4:52:38 time: 0.215 data_time: 0.029 memory: 5150 grad_norm: 9.8332 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1574 loss: 1.1574 2022/06/29 00:44:06 - mmengine - INFO - Epoch(train) [83][1660/3757] lr: 1.000e-04 eta: 4:52:33 time: 0.375 data_time: 0.008 memory: 5150 grad_norm: 11.0839 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9243 loss: 0.9243 2022/06/29 00:44:11 - mmengine - INFO - Epoch(train) [83][1680/3757] lr: 1.000e-04 eta: 4:52:28 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.8717 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1299 loss: 1.1299 2022/06/29 00:44:17 - mmengine - INFO - Epoch(train) [83][1700/3757] lr: 1.000e-04 eta: 4:52:22 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 9.5722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0607 loss: 1.0607 2022/06/29 00:44:22 - mmengine - INFO - Epoch(train) [83][1720/3757] lr: 1.000e-04 eta: 4:52:17 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 10.7785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1226 loss: 1.1226 2022/06/29 00:44:28 - mmengine - INFO - Epoch(train) [83][1740/3757] lr: 1.000e-04 eta: 4:52:12 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0389 loss: 1.0389 2022/06/29 00:44:33 - mmengine - INFO - Epoch(train) [83][1760/3757] lr: 1.000e-04 eta: 4:52:06 time: 0.360 data_time: 0.015 memory: 5150 grad_norm: 9.8506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9134 loss: 0.9134 2022/06/29 00:44:38 - mmengine - INFO - Epoch(train) [83][1780/3757] lr: 1.000e-04 eta: 4:52:01 time: 0.672 data_time: 0.008 memory: 5150 grad_norm: 8.7456 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1401 loss: 1.1401 2022/06/29 00:44:43 - mmengine - INFO - Epoch(train) [83][1800/3757] lr: 1.000e-04 eta: 4:51:56 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 9.4558 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9536 loss: 0.9536 2022/06/29 00:44:49 - mmengine - INFO - Epoch(train) [83][1820/3757] lr: 1.000e-04 eta: 4:51:50 time: 0.206 data_time: 0.026 memory: 5150 grad_norm: 9.5116 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4845 loss: 1.4845 2022/06/29 00:44:54 - mmengine - INFO - Epoch(train) [83][1840/3757] lr: 1.000e-04 eta: 4:51:45 time: 0.489 data_time: 0.010 memory: 5150 grad_norm: 9.2710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3603 loss: 1.3603 2022/06/29 00:44:59 - mmengine - INFO - Epoch(train) [83][1860/3757] lr: 1.000e-04 eta: 4:51:40 time: 0.434 data_time: 0.012 memory: 5150 grad_norm: 8.6517 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/06/29 00:45:05 - mmengine - INFO - Epoch(train) [83][1880/3757] lr: 1.000e-04 eta: 4:51:34 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 7.1718 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1914 loss: 1.1914 2022/06/29 00:45:10 - mmengine - INFO - Epoch(train) [83][1900/3757] lr: 1.000e-04 eta: 4:51:29 time: 0.897 data_time: 0.007 memory: 5150 grad_norm: 7.9675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1399 loss: 1.1399 2022/06/29 00:45:15 - mmengine - INFO - Epoch(train) [83][1920/3757] lr: 1.000e-04 eta: 4:51:24 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 10.5417 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/06/29 00:45:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:45:21 - mmengine - INFO - Epoch(train) [83][1940/3757] lr: 1.000e-04 eta: 4:51:19 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 9.3152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2653 loss: 1.2653 2022/06/29 00:45:26 - mmengine - INFO - Epoch(train) [83][1960/3757] lr: 1.000e-04 eta: 4:51:13 time: 0.925 data_time: 0.019 memory: 5150 grad_norm: 8.7230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2157 loss: 1.2157 2022/06/29 00:45:31 - mmengine - INFO - Epoch(train) [83][1980/3757] lr: 1.000e-04 eta: 4:51:08 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 7.8882 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9153 loss: 0.9153 2022/06/29 00:45:37 - mmengine - INFO - Epoch(train) [83][2000/3757] lr: 1.000e-04 eta: 4:51:03 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 9.9614 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4193 loss: 1.4193 2022/06/29 00:45:42 - mmengine - INFO - Epoch(train) [83][2020/3757] lr: 1.000e-04 eta: 4:50:57 time: 0.686 data_time: 0.016 memory: 5150 grad_norm: 10.7309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2246 loss: 1.2246 2022/06/29 00:45:47 - mmengine - INFO - Epoch(train) [83][2040/3757] lr: 1.000e-04 eta: 4:50:52 time: 0.217 data_time: 0.009 memory: 5150 grad_norm: 7.7467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0916 loss: 1.0916 2022/06/29 00:45:53 - mmengine - INFO - Epoch(train) [83][2060/3757] lr: 1.000e-04 eta: 4:50:47 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.5686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/06/29 00:45:58 - mmengine - INFO - Epoch(train) [83][2080/3757] lr: 1.000e-04 eta: 4:50:41 time: 0.603 data_time: 0.014 memory: 5150 grad_norm: 9.3909 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6043 loss: 1.6043 2022/06/29 00:46:04 - mmengine - INFO - Epoch(train) [83][2100/3757] lr: 1.000e-04 eta: 4:50:36 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 8.0095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1116 loss: 1.1116 2022/06/29 00:46:09 - mmengine - INFO - Epoch(train) [83][2120/3757] lr: 1.000e-04 eta: 4:50:31 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 7.5793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/06/29 00:46:14 - mmengine - INFO - Epoch(train) [83][2140/3757] lr: 1.000e-04 eta: 4:50:25 time: 0.565 data_time: 0.007 memory: 5150 grad_norm: 9.1579 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9255 loss: 0.9255 2022/06/29 00:46:20 - mmengine - INFO - Epoch(train) [83][2160/3757] lr: 1.000e-04 eta: 4:50:20 time: 0.220 data_time: 0.016 memory: 5150 grad_norm: 10.1534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/06/29 00:46:25 - mmengine - INFO - Epoch(train) [83][2180/3757] lr: 1.000e-04 eta: 4:50:15 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.8505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1816 loss: 1.1816 2022/06/29 00:46:30 - mmengine - INFO - Epoch(train) [83][2200/3757] lr: 1.000e-04 eta: 4:50:09 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 9.5536 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3757 loss: 1.3757 2022/06/29 00:46:36 - mmengine - INFO - Epoch(train) [83][2220/3757] lr: 1.000e-04 eta: 4:50:04 time: 0.209 data_time: 0.022 memory: 5150 grad_norm: 7.8737 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8069 loss: 0.8069 2022/06/29 00:46:41 - mmengine - INFO - Epoch(train) [83][2240/3757] lr: 1.000e-04 eta: 4:49:59 time: 0.208 data_time: 0.016 memory: 5150 grad_norm: 9.6193 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/06/29 00:46:46 - mmengine - INFO - Epoch(train) [83][2260/3757] lr: 1.000e-04 eta: 4:49:53 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.7408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1960 loss: 1.1960 2022/06/29 00:46:51 - mmengine - INFO - Epoch(train) [83][2280/3757] lr: 1.000e-04 eta: 4:49:48 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.0138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9046 loss: 0.9046 2022/06/29 00:46:57 - mmengine - INFO - Epoch(train) [83][2300/3757] lr: 1.000e-04 eta: 4:49:43 time: 0.224 data_time: 0.009 memory: 5150 grad_norm: 9.1253 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3319 loss: 1.3319 2022/06/29 00:47:02 - mmengine - INFO - Epoch(train) [83][2320/3757] lr: 1.000e-04 eta: 4:49:37 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1082 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/06/29 00:47:07 - mmengine - INFO - Epoch(train) [83][2340/3757] lr: 1.000e-04 eta: 4:49:32 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.6598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0226 loss: 1.0226 2022/06/29 00:47:13 - mmengine - INFO - Epoch(train) [83][2360/3757] lr: 1.000e-04 eta: 4:49:27 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.1046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3111 loss: 1.3111 2022/06/29 00:47:18 - mmengine - INFO - Epoch(train) [83][2380/3757] lr: 1.000e-04 eta: 4:49:21 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.3258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/06/29 00:47:23 - mmengine - INFO - Epoch(train) [83][2400/3757] lr: 1.000e-04 eta: 4:49:16 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 9.1680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4574 loss: 1.4574 2022/06/29 00:47:29 - mmengine - INFO - Epoch(train) [83][2420/3757] lr: 1.000e-04 eta: 4:49:11 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 11.4533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3211 loss: 1.3211 2022/06/29 00:47:34 - mmengine - INFO - Epoch(train) [83][2440/3757] lr: 1.000e-04 eta: 4:49:05 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 8.7462 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2608 loss: 1.2608 2022/06/29 00:47:39 - mmengine - INFO - Epoch(train) [83][2460/3757] lr: 1.000e-04 eta: 4:49:00 time: 0.258 data_time: 0.056 memory: 5150 grad_norm: 8.7951 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1151 loss: 1.1151 2022/06/29 00:47:44 - mmengine - INFO - Epoch(train) [83][2480/3757] lr: 1.000e-04 eta: 4:48:55 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 9.6287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4459 loss: 1.4459 2022/06/29 00:47:49 - mmengine - INFO - Epoch(train) [83][2500/3757] lr: 1.000e-04 eta: 4:48:49 time: 0.321 data_time: 0.011 memory: 5150 grad_norm: 8.7155 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2339 loss: 1.2339 2022/06/29 00:47:55 - mmengine - INFO - Epoch(train) [83][2520/3757] lr: 1.000e-04 eta: 4:48:44 time: 0.210 data_time: 0.021 memory: 5150 grad_norm: 8.1791 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9827 loss: 0.9827 2022/06/29 00:48:01 - mmengine - INFO - Epoch(train) [83][2540/3757] lr: 1.000e-04 eta: 4:48:39 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 8.7524 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/06/29 00:48:06 - mmengine - INFO - Epoch(train) [83][2560/3757] lr: 1.000e-04 eta: 4:48:33 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.7690 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2643 loss: 1.2643 2022/06/29 00:48:11 - mmengine - INFO - Epoch(train) [83][2580/3757] lr: 1.000e-04 eta: 4:48:28 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 8.6563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1865 loss: 1.1865 2022/06/29 00:48:16 - mmengine - INFO - Epoch(train) [83][2600/3757] lr: 1.000e-04 eta: 4:48:23 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 11.1936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1413 loss: 1.1413 2022/06/29 00:48:21 - mmengine - INFO - Epoch(train) [83][2620/3757] lr: 1.000e-04 eta: 4:48:17 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 9.0641 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2530 loss: 1.2530 2022/06/29 00:48:27 - mmengine - INFO - Epoch(train) [83][2640/3757] lr: 1.000e-04 eta: 4:48:12 time: 0.205 data_time: 0.029 memory: 5150 grad_norm: 8.9221 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/06/29 00:48:32 - mmengine - INFO - Epoch(train) [83][2660/3757] lr: 1.000e-04 eta: 4:48:07 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.3466 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/06/29 00:48:37 - mmengine - INFO - Epoch(train) [83][2680/3757] lr: 1.000e-04 eta: 4:48:01 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.5376 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2972 loss: 1.2972 2022/06/29 00:48:43 - mmengine - INFO - Epoch(train) [83][2700/3757] lr: 1.000e-04 eta: 4:47:56 time: 0.207 data_time: 0.020 memory: 5150 grad_norm: 9.3373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0038 loss: 1.0038 2022/06/29 00:48:48 - mmengine - INFO - Epoch(train) [83][2720/3757] lr: 1.000e-04 eta: 4:47:51 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 10.5996 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0353 loss: 1.0353 2022/06/29 00:48:53 - mmengine - INFO - Epoch(train) [83][2740/3757] lr: 1.000e-04 eta: 4:47:45 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.8834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/06/29 00:48:58 - mmengine - INFO - Epoch(train) [83][2760/3757] lr: 1.000e-04 eta: 4:47:40 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 12.2477 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/06/29 00:49:04 - mmengine - INFO - Epoch(train) [83][2780/3757] lr: 1.000e-04 eta: 4:47:35 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.3768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9750 loss: 0.9750 2022/06/29 00:49:09 - mmengine - INFO - Epoch(train) [83][2800/3757] lr: 1.000e-04 eta: 4:47:29 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 9.7781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8355 loss: 0.8355 2022/06/29 00:49:14 - mmengine - INFO - Epoch(train) [83][2820/3757] lr: 1.000e-04 eta: 4:47:24 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 9.9673 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2111 loss: 1.2111 2022/06/29 00:49:19 - mmengine - INFO - Epoch(train) [83][2840/3757] lr: 1.000e-04 eta: 4:47:19 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.2831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1785 loss: 1.1785 2022/06/29 00:49:25 - mmengine - INFO - Epoch(train) [83][2860/3757] lr: 1.000e-04 eta: 4:47:13 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 9.6042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1493 loss: 1.1493 2022/06/29 00:49:31 - mmengine - INFO - Epoch(train) [83][2880/3757] lr: 1.000e-04 eta: 4:47:08 time: 0.215 data_time: 0.019 memory: 5150 grad_norm: 9.9461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0300 loss: 1.0300 2022/06/29 00:49:36 - mmengine - INFO - Epoch(train) [83][2900/3757] lr: 1.000e-04 eta: 4:47:03 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.1276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2631 loss: 1.2631 2022/06/29 00:49:41 - mmengine - INFO - Epoch(train) [83][2920/3757] lr: 1.000e-04 eta: 4:46:57 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.2395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6741 loss: 1.6741 2022/06/29 00:49:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:49:47 - mmengine - INFO - Epoch(train) [83][2940/3757] lr: 1.000e-04 eta: 4:46:52 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 10.9002 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2117 loss: 1.2117 2022/06/29 00:49:52 - mmengine - INFO - Epoch(train) [83][2960/3757] lr: 1.000e-04 eta: 4:46:47 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 10.9408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/06/29 00:49:57 - mmengine - INFO - Epoch(train) [83][2980/3757] lr: 1.000e-04 eta: 4:46:41 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 11.2014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1983 loss: 1.1983 2022/06/29 00:50:02 - mmengine - INFO - Epoch(train) [83][3000/3757] lr: 1.000e-04 eta: 4:46:36 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 9.0255 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0323 loss: 1.0323 2022/06/29 00:50:08 - mmengine - INFO - Epoch(train) [83][3020/3757] lr: 1.000e-04 eta: 4:46:31 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.6228 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/06/29 00:50:12 - mmengine - INFO - Epoch(train) [83][3040/3757] lr: 1.000e-04 eta: 4:46:25 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 9.0892 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/06/29 00:50:17 - mmengine - INFO - Epoch(train) [83][3060/3757] lr: 1.000e-04 eta: 4:46:20 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 10.2707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2023 loss: 1.2023 2022/06/29 00:50:23 - mmengine - INFO - Epoch(train) [83][3080/3757] lr: 1.000e-04 eta: 4:46:15 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 9.4359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2208 loss: 1.2208 2022/06/29 00:50:28 - mmengine - INFO - Epoch(train) [83][3100/3757] lr: 1.000e-04 eta: 4:46:09 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.4208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7911 loss: 0.7911 2022/06/29 00:50:33 - mmengine - INFO - Epoch(train) [83][3120/3757] lr: 1.000e-04 eta: 4:46:04 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.2702 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1197 loss: 1.1197 2022/06/29 00:50:39 - mmengine - INFO - Epoch(train) [83][3140/3757] lr: 1.000e-04 eta: 4:45:59 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.9001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/06/29 00:50:44 - mmengine - INFO - Epoch(train) [83][3160/3757] lr: 1.000e-04 eta: 4:45:53 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 8.2926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0128 loss: 1.0128 2022/06/29 00:50:49 - mmengine - INFO - Epoch(train) [83][3180/3757] lr: 1.000e-04 eta: 4:45:48 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.9720 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2911 loss: 1.2911 2022/06/29 00:50:55 - mmengine - INFO - Epoch(train) [83][3200/3757] lr: 1.000e-04 eta: 4:45:43 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.3593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2334 loss: 1.2334 2022/06/29 00:51:00 - mmengine - INFO - Epoch(train) [83][3220/3757] lr: 1.000e-04 eta: 4:45:37 time: 0.201 data_time: 0.024 memory: 5150 grad_norm: 7.6904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2913 loss: 1.2913 2022/06/29 00:51:05 - mmengine - INFO - Epoch(train) [83][3240/3757] lr: 1.000e-04 eta: 4:45:32 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.6395 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2765 loss: 1.2765 2022/06/29 00:51:10 - mmengine - INFO - Epoch(train) [83][3260/3757] lr: 1.000e-04 eta: 4:45:27 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 9.4175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/06/29 00:51:16 - mmengine - INFO - Epoch(train) [83][3280/3757] lr: 1.000e-04 eta: 4:45:21 time: 0.578 data_time: 0.404 memory: 5150 grad_norm: 8.8355 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2829 loss: 1.2829 2022/06/29 00:51:21 - mmengine - INFO - Epoch(train) [83][3300/3757] lr: 1.000e-04 eta: 4:45:16 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 10.2562 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5080 loss: 1.5080 2022/06/29 00:51:26 - mmengine - INFO - Epoch(train) [83][3320/3757] lr: 1.000e-04 eta: 4:45:11 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2299 loss: 1.2299 2022/06/29 00:51:32 - mmengine - INFO - Epoch(train) [83][3340/3757] lr: 1.000e-04 eta: 4:45:05 time: 0.784 data_time: 0.614 memory: 5150 grad_norm: 10.4712 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/06/29 00:51:37 - mmengine - INFO - Epoch(train) [83][3360/3757] lr: 1.000e-04 eta: 4:45:00 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 10.3494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/06/29 00:51:42 - mmengine - INFO - Epoch(train) [83][3380/3757] lr: 1.000e-04 eta: 4:44:55 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.0842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0808 loss: 1.0808 2022/06/29 00:51:48 - mmengine - INFO - Epoch(train) [83][3400/3757] lr: 1.000e-04 eta: 4:44:49 time: 0.207 data_time: 0.034 memory: 5150 grad_norm: 7.3431 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8403 loss: 0.8403 2022/06/29 00:51:53 - mmengine - INFO - Epoch(train) [83][3420/3757] lr: 1.000e-04 eta: 4:44:44 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.0755 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0148 loss: 1.0148 2022/06/29 00:51:59 - mmengine - INFO - Epoch(train) [83][3440/3757] lr: 1.000e-04 eta: 4:44:39 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.8938 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2768 loss: 1.2768 2022/06/29 00:52:04 - mmengine - INFO - Epoch(train) [83][3460/3757] lr: 1.000e-04 eta: 4:44:33 time: 0.224 data_time: 0.041 memory: 5150 grad_norm: 9.8889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/06/29 00:52:09 - mmengine - INFO - Epoch(train) [83][3480/3757] lr: 1.000e-04 eta: 4:44:28 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0911 loss: 1.0911 2022/06/29 00:52:15 - mmengine - INFO - Epoch(train) [83][3500/3757] lr: 1.000e-04 eta: 4:44:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.8044 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1984 loss: 1.1984 2022/06/29 00:52:19 - mmengine - INFO - Epoch(train) [83][3520/3757] lr: 1.000e-04 eta: 4:44:17 time: 0.233 data_time: 0.050 memory: 5150 grad_norm: 7.3528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9385 loss: 0.9385 2022/06/29 00:52:25 - mmengine - INFO - Epoch(train) [83][3540/3757] lr: 1.000e-04 eta: 4:44:12 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.0779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2641 loss: 1.2641 2022/06/29 00:52:30 - mmengine - INFO - Epoch(train) [83][3560/3757] lr: 1.000e-04 eta: 4:44:07 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.1962 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0434 loss: 1.0434 2022/06/29 00:52:36 - mmengine - INFO - Epoch(train) [83][3580/3757] lr: 1.000e-04 eta: 4:44:02 time: 0.732 data_time: 0.550 memory: 5150 grad_norm: 8.7027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2320 loss: 1.2320 2022/06/29 00:52:41 - mmengine - INFO - Epoch(train) [83][3600/3757] lr: 1.000e-04 eta: 4:43:56 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 9.8641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3594 loss: 1.3594 2022/06/29 00:52:46 - mmengine - INFO - Epoch(train) [83][3620/3757] lr: 1.000e-04 eta: 4:43:51 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.2756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9864 loss: 0.9864 2022/06/29 00:52:52 - mmengine - INFO - Epoch(train) [83][3640/3757] lr: 1.000e-04 eta: 4:43:46 time: 0.392 data_time: 0.215 memory: 5150 grad_norm: 8.2333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3629 loss: 1.3629 2022/06/29 00:52:57 - mmengine - INFO - Epoch(train) [83][3660/3757] lr: 1.000e-04 eta: 4:43:40 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 10.4106 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1995 loss: 1.1995 2022/06/29 00:53:02 - mmengine - INFO - Epoch(train) [83][3680/3757] lr: 1.000e-04 eta: 4:43:35 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.2627 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.4528 loss: 1.4528 2022/06/29 00:53:08 - mmengine - INFO - Epoch(train) [83][3700/3757] lr: 1.000e-04 eta: 4:43:30 time: 0.212 data_time: 0.035 memory: 5150 grad_norm: 8.4981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/06/29 00:53:13 - mmengine - INFO - Epoch(train) [83][3720/3757] lr: 1.000e-04 eta: 4:43:24 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 9.0638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9431 loss: 0.9431 2022/06/29 00:53:18 - mmengine - INFO - Epoch(train) [83][3740/3757] lr: 1.000e-04 eta: 4:43:19 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.8281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0448 loss: 1.0448 2022/06/29 00:53:22 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 00:53:54 - mmengine - INFO - Epoch(val) [83][20/310] eta: 0:05:48 time: 1.057 data_time: 0.418 memory: 9746 2022/06/29 00:54:16 - mmengine - INFO - Epoch(val) [83][40/310] eta: 0:04:40 time: 1.110 data_time: 0.467 memory: 9746 2022/06/29 00:54:40 - mmengine - INFO - Epoch(val) [83][60/310] eta: 0:04:27 time: 1.594 data_time: 0.471 memory: 9746 2022/06/29 00:55:05 - mmengine - INFO - Epoch(val) [83][80/310] eta: 0:05:22 time: 1.019 data_time: 0.386 memory: 9746 2022/06/29 00:55:29 - mmengine - INFO - Epoch(val) [83][100/310] eta: 0:04:12 time: 2.610 data_time: 1.922 memory: 9746 2022/06/29 00:55:50 - mmengine - INFO - Epoch(val) [83][120/310] eta: 0:03:23 time: 1.116 data_time: 0.457 memory: 9746 2022/06/29 00:56:15 - mmengine - INFO - Epoch(val) [83][140/310] eta: 0:03:27 time: 1.183 data_time: 0.520 memory: 9746 2022/06/29 00:56:39 - mmengine - INFO - Epoch(val) [83][160/310] eta: 0:03:13 time: 3.386 data_time: 2.720 memory: 9746 2022/06/29 00:57:02 - mmengine - INFO - Epoch(val) [83][180/310] eta: 0:02:42 time: 0.985 data_time: 0.348 memory: 9746 2022/06/29 00:57:25 - mmengine - INFO - Epoch(val) [83][200/310] eta: 0:02:16 time: 1.178 data_time: 0.520 memory: 9746 2022/06/29 00:57:46 - mmengine - INFO - Epoch(val) [83][220/310] eta: 0:01:38 time: 1.070 data_time: 0.418 memory: 9746 2022/06/29 00:58:08 - mmengine - INFO - Epoch(val) [83][240/310] eta: 0:01:12 time: 1.055 data_time: 0.414 memory: 9746 2022/06/29 00:58:31 - mmengine - INFO - Epoch(val) [83][260/310] eta: 0:00:56 time: 1.054 data_time: 0.384 memory: 9746 2022/06/29 00:58:54 - mmengine - INFO - Epoch(val) [83][280/310] eta: 0:00:33 time: 1.956 data_time: 1.327 memory: 9746 2022/06/29 00:59:13 - mmengine - INFO - Epoch(val) [83][300/310] eta: 0:00:08 time: 0.631 data_time: 0.068 memory: 9746 2022/06/29 00:59:25 - mmengine - INFO - Epoch(val) [83][310/310] acc/top1: 0.7181 acc/top5: 0.9039 acc/mean1: 0.7180 2022/06/29 00:59:33 - mmengine - INFO - Epoch(train) [84][20/3757] lr: 1.000e-04 eta: 4:43:09 time: 0.207 data_time: 0.008 memory: 9746 grad_norm: 9.4709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/06/29 00:59:39 - mmengine - INFO - Epoch(train) [84][40/3757] lr: 1.000e-04 eta: 4:43:04 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 9.6495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9229 loss: 0.9229 2022/06/29 00:59:44 - mmengine - INFO - Epoch(train) [84][60/3757] lr: 1.000e-04 eta: 4:42:59 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 7.9460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2459 loss: 1.2459 2022/06/29 00:59:50 - mmengine - INFO - Epoch(train) [84][80/3757] lr: 1.000e-04 eta: 4:42:53 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.0428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/06/29 00:59:55 - mmengine - INFO - Epoch(train) [84][100/3757] lr: 1.000e-04 eta: 4:42:48 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.3236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9208 loss: 0.9208 2022/06/29 01:00:00 - mmengine - INFO - Epoch(train) [84][120/3757] lr: 1.000e-04 eta: 4:42:43 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.4795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/29 01:00:06 - mmengine - INFO - Epoch(train) [84][140/3757] lr: 1.000e-04 eta: 4:42:37 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.0617 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5063 loss: 1.5063 2022/06/29 01:00:11 - mmengine - INFO - Epoch(train) [84][160/3757] lr: 1.000e-04 eta: 4:42:32 time: 0.429 data_time: 0.008 memory: 5150 grad_norm: 9.0854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3927 loss: 1.3927 2022/06/29 01:00:14 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:00:16 - mmengine - INFO - Epoch(train) [84][180/3757] lr: 1.000e-04 eta: 4:42:27 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.2025 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0318 loss: 1.0318 2022/06/29 01:00:22 - mmengine - INFO - Epoch(train) [84][200/3757] lr: 1.000e-04 eta: 4:42:21 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 10.4518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3645 loss: 1.3645 2022/06/29 01:00:28 - mmengine - INFO - Epoch(train) [84][220/3757] lr: 1.000e-04 eta: 4:42:16 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8051 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/06/29 01:00:32 - mmengine - INFO - Epoch(train) [84][240/3757] lr: 1.000e-04 eta: 4:42:11 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 10.0221 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9946 loss: 0.9946 2022/06/29 01:00:38 - mmengine - INFO - Epoch(train) [84][260/3757] lr: 1.000e-04 eta: 4:42:05 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.2835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3444 loss: 1.3444 2022/06/29 01:00:44 - mmengine - INFO - Epoch(train) [84][280/3757] lr: 1.000e-04 eta: 4:42:00 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 10.0121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5041 loss: 1.5041 2022/06/29 01:00:49 - mmengine - INFO - Epoch(train) [84][300/3757] lr: 1.000e-04 eta: 4:41:55 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 8.0294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2863 loss: 1.2863 2022/06/29 01:00:54 - mmengine - INFO - Epoch(train) [84][320/3757] lr: 1.000e-04 eta: 4:41:50 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 9.1278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0673 loss: 1.0673 2022/06/29 01:01:00 - mmengine - INFO - Epoch(train) [84][340/3757] lr: 1.000e-04 eta: 4:41:44 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 7.3701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0458 loss: 1.0458 2022/06/29 01:01:05 - mmengine - INFO - Epoch(train) [84][360/3757] lr: 1.000e-04 eta: 4:41:39 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.0022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/06/29 01:01:10 - mmengine - INFO - Epoch(train) [84][380/3757] lr: 1.000e-04 eta: 4:41:33 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 10.6090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9631 loss: 0.9631 2022/06/29 01:01:16 - mmengine - INFO - Epoch(train) [84][400/3757] lr: 1.000e-04 eta: 4:41:28 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 8.1503 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0826 loss: 1.0826 2022/06/29 01:01:21 - mmengine - INFO - Epoch(train) [84][420/3757] lr: 1.000e-04 eta: 4:41:23 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 9.8248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5881 loss: 1.5881 2022/06/29 01:01:26 - mmengine - INFO - Epoch(train) [84][440/3757] lr: 1.000e-04 eta: 4:41:17 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.5404 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9055 loss: 0.9055 2022/06/29 01:01:31 - mmengine - INFO - Epoch(train) [84][460/3757] lr: 1.000e-04 eta: 4:41:12 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 10.2592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9658 loss: 0.9658 2022/06/29 01:01:37 - mmengine - INFO - Epoch(train) [84][480/3757] lr: 1.000e-04 eta: 4:41:07 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 7.8484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0058 loss: 1.0058 2022/06/29 01:01:42 - mmengine - INFO - Epoch(train) [84][500/3757] lr: 1.000e-04 eta: 4:41:02 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 6.4728 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7862 loss: 0.7862 2022/06/29 01:01:48 - mmengine - INFO - Epoch(train) [84][520/3757] lr: 1.000e-04 eta: 4:40:56 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 8.9075 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9829 loss: 0.9829 2022/06/29 01:01:54 - mmengine - INFO - Epoch(train) [84][540/3757] lr: 1.000e-04 eta: 4:40:51 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1180 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4328 loss: 1.4328 2022/06/29 01:01:58 - mmengine - INFO - Epoch(train) [84][560/3757] lr: 1.000e-04 eta: 4:40:46 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 8.7424 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3142 loss: 1.3142 2022/06/29 01:02:04 - mmengine - INFO - Epoch(train) [84][580/3757] lr: 1.000e-04 eta: 4:40:40 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.2119 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4531 loss: 1.4531 2022/06/29 01:02:09 - mmengine - INFO - Epoch(train) [84][600/3757] lr: 1.000e-04 eta: 4:40:35 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 9.7791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6324 loss: 1.6324 2022/06/29 01:02:15 - mmengine - INFO - Epoch(train) [84][620/3757] lr: 1.000e-04 eta: 4:40:30 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.8404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/06/29 01:02:20 - mmengine - INFO - Epoch(train) [84][640/3757] lr: 1.000e-04 eta: 4:40:24 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 9.4386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1451 loss: 1.1451 2022/06/29 01:02:25 - mmengine - INFO - Epoch(train) [84][660/3757] lr: 1.000e-04 eta: 4:40:19 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5528 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2695 loss: 1.2695 2022/06/29 01:02:31 - mmengine - INFO - Epoch(train) [84][680/3757] lr: 1.000e-04 eta: 4:40:14 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.3963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1309 loss: 1.1309 2022/06/29 01:02:37 - mmengine - INFO - Epoch(train) [84][700/3757] lr: 1.000e-04 eta: 4:40:09 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 8.5617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1799 loss: 1.1799 2022/06/29 01:02:41 - mmengine - INFO - Epoch(train) [84][720/3757] lr: 1.000e-04 eta: 4:40:03 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 9.4243 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4426 loss: 1.4426 2022/06/29 01:02:47 - mmengine - INFO - Epoch(train) [84][740/3757] lr: 1.000e-04 eta: 4:39:58 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 7.0815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1759 loss: 1.1759 2022/06/29 01:02:52 - mmengine - INFO - Epoch(train) [84][760/3757] lr: 1.000e-04 eta: 4:39:52 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.5109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0839 loss: 1.0839 2022/06/29 01:02:57 - mmengine - INFO - Epoch(train) [84][780/3757] lr: 1.000e-04 eta: 4:39:47 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.5760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3245 loss: 1.3245 2022/06/29 01:03:03 - mmengine - INFO - Epoch(train) [84][800/3757] lr: 1.000e-04 eta: 4:39:42 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.1887 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0703 loss: 1.0703 2022/06/29 01:03:09 - mmengine - INFO - Epoch(train) [84][820/3757] lr: 1.000e-04 eta: 4:39:37 time: 0.209 data_time: 0.029 memory: 5150 grad_norm: 7.7750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9981 loss: 0.9981 2022/06/29 01:03:13 - mmengine - INFO - Epoch(train) [84][840/3757] lr: 1.000e-04 eta: 4:39:31 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 10.0761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/06/29 01:03:19 - mmengine - INFO - Epoch(train) [84][860/3757] lr: 1.000e-04 eta: 4:39:26 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 8.8538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3033 loss: 1.3033 2022/06/29 01:03:25 - mmengine - INFO - Epoch(train) [84][880/3757] lr: 1.000e-04 eta: 4:39:21 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 8.7965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2295 loss: 1.2295 2022/06/29 01:03:30 - mmengine - INFO - Epoch(train) [84][900/3757] lr: 1.000e-04 eta: 4:39:15 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 9.8722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/06/29 01:03:35 - mmengine - INFO - Epoch(train) [84][920/3757] lr: 1.000e-04 eta: 4:39:10 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 9.3946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0284 loss: 1.0284 2022/06/29 01:03:40 - mmengine - INFO - Epoch(train) [84][940/3757] lr: 1.000e-04 eta: 4:39:05 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9216 loss: 0.9216 2022/06/29 01:03:45 - mmengine - INFO - Epoch(train) [84][960/3757] lr: 1.000e-04 eta: 4:38:59 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.0357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9974 loss: 0.9974 2022/06/29 01:03:51 - mmengine - INFO - Epoch(train) [84][980/3757] lr: 1.000e-04 eta: 4:38:54 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 8.8127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3568 loss: 1.3568 2022/06/29 01:03:56 - mmengine - INFO - Epoch(train) [84][1000/3757] lr: 1.000e-04 eta: 4:38:49 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 10.7597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0655 loss: 1.0655 2022/06/29 01:04:01 - mmengine - INFO - Epoch(train) [84][1020/3757] lr: 1.000e-04 eta: 4:38:43 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.7384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3623 loss: 1.3623 2022/06/29 01:04:07 - mmengine - INFO - Epoch(train) [84][1040/3757] lr: 1.000e-04 eta: 4:38:38 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.8785 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2405 loss: 1.2405 2022/06/29 01:04:12 - mmengine - INFO - Epoch(train) [84][1060/3757] lr: 1.000e-04 eta: 4:38:33 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.4273 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9648 loss: 0.9648 2022/06/29 01:04:17 - mmengine - INFO - Epoch(train) [84][1080/3757] lr: 1.000e-04 eta: 4:38:27 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.8268 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1557 loss: 1.1557 2022/06/29 01:04:23 - mmengine - INFO - Epoch(train) [84][1100/3757] lr: 1.000e-04 eta: 4:38:22 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 11.8952 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0337 loss: 1.0337 2022/06/29 01:04:28 - mmengine - INFO - Epoch(train) [84][1120/3757] lr: 1.000e-04 eta: 4:38:17 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 8.2733 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/06/29 01:04:33 - mmengine - INFO - Epoch(train) [84][1140/3757] lr: 1.000e-04 eta: 4:38:11 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 7.9400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/06/29 01:04:38 - mmengine - INFO - Epoch(train) [84][1160/3757] lr: 1.000e-04 eta: 4:38:06 time: 0.204 data_time: 0.019 memory: 5150 grad_norm: 9.1534 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9804 loss: 0.9804 2022/06/29 01:04:40 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:04:43 - mmengine - INFO - Epoch(train) [84][1180/3757] lr: 1.000e-04 eta: 4:38:01 time: 0.218 data_time: 0.019 memory: 5150 grad_norm: 7.2298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1015 loss: 1.1015 2022/06/29 01:04:48 - mmengine - INFO - Epoch(train) [84][1200/3757] lr: 1.000e-04 eta: 4:37:55 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 7.9692 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4302 loss: 1.4302 2022/06/29 01:04:54 - mmengine - INFO - Epoch(train) [84][1220/3757] lr: 1.000e-04 eta: 4:37:50 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 7.3952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0559 loss: 1.0559 2022/06/29 01:05:00 - mmengine - INFO - Epoch(train) [84][1240/3757] lr: 1.000e-04 eta: 4:37:45 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 8.7144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8301 loss: 0.8301 2022/06/29 01:05:05 - mmengine - INFO - Epoch(train) [84][1260/3757] lr: 1.000e-04 eta: 4:37:39 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.6773 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/06/29 01:05:10 - mmengine - INFO - Epoch(train) [84][1280/3757] lr: 1.000e-04 eta: 4:37:34 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 9.2564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/06/29 01:05:15 - mmengine - INFO - Epoch(train) [84][1300/3757] lr: 1.000e-04 eta: 4:37:29 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 8.7415 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/06/29 01:05:21 - mmengine - INFO - Epoch(train) [84][1320/3757] lr: 1.000e-04 eta: 4:37:23 time: 0.645 data_time: 0.006 memory: 5150 grad_norm: 10.2136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1940 loss: 1.1940 2022/06/29 01:05:26 - mmengine - INFO - Epoch(train) [84][1340/3757] lr: 1.000e-04 eta: 4:37:18 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 9.8893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/06/29 01:05:31 - mmengine - INFO - Epoch(train) [84][1360/3757] lr: 1.000e-04 eta: 4:37:13 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.9897 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3561 loss: 1.3561 2022/06/29 01:05:37 - mmengine - INFO - Epoch(train) [84][1380/3757] lr: 1.000e-04 eta: 4:37:07 time: 0.630 data_time: 0.010 memory: 5150 grad_norm: 9.5390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2422 loss: 1.2422 2022/06/29 01:05:43 - mmengine - INFO - Epoch(train) [84][1400/3757] lr: 1.000e-04 eta: 4:37:02 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.8490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7872 loss: 0.7872 2022/06/29 01:05:48 - mmengine - INFO - Epoch(train) [84][1420/3757] lr: 1.000e-04 eta: 4:36:57 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.7271 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1931 loss: 1.1931 2022/06/29 01:05:53 - mmengine - INFO - Epoch(train) [84][1440/3757] lr: 1.000e-04 eta: 4:36:51 time: 0.482 data_time: 0.011 memory: 5150 grad_norm: 9.7559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5345 loss: 1.5345 2022/06/29 01:05:58 - mmengine - INFO - Epoch(train) [84][1460/3757] lr: 1.000e-04 eta: 4:36:46 time: 0.216 data_time: 0.012 memory: 5150 grad_norm: 7.7441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2352 loss: 1.2352 2022/06/29 01:06:04 - mmengine - INFO - Epoch(train) [84][1480/3757] lr: 1.000e-04 eta: 4:36:41 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.1663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/06/29 01:06:09 - mmengine - INFO - Epoch(train) [84][1500/3757] lr: 1.000e-04 eta: 4:36:35 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 10.0212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1148 loss: 1.1148 2022/06/29 01:06:14 - mmengine - INFO - Epoch(train) [84][1520/3757] lr: 1.000e-04 eta: 4:36:30 time: 0.221 data_time: 0.013 memory: 5150 grad_norm: 7.3599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/06/29 01:06:20 - mmengine - INFO - Epoch(train) [84][1540/3757] lr: 1.000e-04 eta: 4:36:25 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.8938 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8403 loss: 0.8403 2022/06/29 01:06:25 - mmengine - INFO - Epoch(train) [84][1560/3757] lr: 1.000e-04 eta: 4:36:19 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 9.6635 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/06/29 01:06:31 - mmengine - INFO - Epoch(train) [84][1580/3757] lr: 1.000e-04 eta: 4:36:14 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.9428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/06/29 01:06:35 - mmengine - INFO - Epoch(train) [84][1600/3757] lr: 1.000e-04 eta: 4:36:09 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.9827 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9131 loss: 0.9131 2022/06/29 01:06:41 - mmengine - INFO - Epoch(train) [84][1620/3757] lr: 1.000e-04 eta: 4:36:03 time: 0.204 data_time: 0.025 memory: 5150 grad_norm: 10.6997 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/06/29 01:06:46 - mmengine - INFO - Epoch(train) [84][1640/3757] lr: 1.000e-04 eta: 4:35:58 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.1836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/06/29 01:06:52 - mmengine - INFO - Epoch(train) [84][1660/3757] lr: 1.000e-04 eta: 4:35:53 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.6212 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3446 loss: 1.3446 2022/06/29 01:06:58 - mmengine - INFO - Epoch(train) [84][1680/3757] lr: 1.000e-04 eta: 4:35:48 time: 1.270 data_time: 0.019 memory: 5150 grad_norm: 9.0275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0903 loss: 1.0903 2022/06/29 01:07:03 - mmengine - INFO - Epoch(train) [84][1700/3757] lr: 1.000e-04 eta: 4:35:42 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 8.9595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/06/29 01:07:08 - mmengine - INFO - Epoch(train) [84][1720/3757] lr: 1.000e-04 eta: 4:35:37 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.4887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6111 loss: 1.6111 2022/06/29 01:07:14 - mmengine - INFO - Epoch(train) [84][1740/3757] lr: 1.000e-04 eta: 4:35:32 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 10.6851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1753 loss: 1.1753 2022/06/29 01:07:19 - mmengine - INFO - Epoch(train) [84][1760/3757] lr: 1.000e-04 eta: 4:35:26 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 9.4313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2077 loss: 1.2077 2022/06/29 01:07:25 - mmengine - INFO - Epoch(train) [84][1780/3757] lr: 1.000e-04 eta: 4:35:21 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 9.5144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1732 loss: 1.1732 2022/06/29 01:07:30 - mmengine - INFO - Epoch(train) [84][1800/3757] lr: 1.000e-04 eta: 4:35:16 time: 0.217 data_time: 0.046 memory: 5150 grad_norm: 8.9247 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2539 loss: 1.2539 2022/06/29 01:07:35 - mmengine - INFO - Epoch(train) [84][1820/3757] lr: 1.000e-04 eta: 4:35:10 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.3581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1538 loss: 1.1538 2022/06/29 01:07:41 - mmengine - INFO - Epoch(train) [84][1840/3757] lr: 1.000e-04 eta: 4:35:05 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 8.6423 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/06/29 01:07:46 - mmengine - INFO - Epoch(train) [84][1860/3757] lr: 1.000e-04 eta: 4:35:00 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.5466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2200 loss: 1.2200 2022/06/29 01:07:51 - mmengine - INFO - Epoch(train) [84][1880/3757] lr: 1.000e-04 eta: 4:34:54 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.2906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4129 loss: 1.4129 2022/06/29 01:07:57 - mmengine - INFO - Epoch(train) [84][1900/3757] lr: 1.000e-04 eta: 4:34:49 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.6692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2013 loss: 1.2013 2022/06/29 01:08:02 - mmengine - INFO - Epoch(train) [84][1920/3757] lr: 1.000e-04 eta: 4:34:44 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9071 loss: 0.9071 2022/06/29 01:08:07 - mmengine - INFO - Epoch(train) [84][1940/3757] lr: 1.000e-04 eta: 4:34:38 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 9.3559 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3917 loss: 1.3917 2022/06/29 01:08:13 - mmengine - INFO - Epoch(train) [84][1960/3757] lr: 1.000e-04 eta: 4:34:33 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 9.3222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8883 loss: 0.8883 2022/06/29 01:08:18 - mmengine - INFO - Epoch(train) [84][1980/3757] lr: 1.000e-04 eta: 4:34:28 time: 1.225 data_time: 0.011 memory: 5150 grad_norm: 8.7725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2004 loss: 1.2004 2022/06/29 01:08:23 - mmengine - INFO - Epoch(train) [84][2000/3757] lr: 1.000e-04 eta: 4:34:22 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 7.2120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/06/29 01:08:29 - mmengine - INFO - Epoch(train) [84][2020/3757] lr: 1.000e-04 eta: 4:34:17 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.8629 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2473 loss: 1.2473 2022/06/29 01:08:34 - mmengine - INFO - Epoch(train) [84][2040/3757] lr: 1.000e-04 eta: 4:34:12 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 7.9677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3725 loss: 1.3725 2022/06/29 01:08:39 - mmengine - INFO - Epoch(train) [84][2060/3757] lr: 1.000e-04 eta: 4:34:06 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.0656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9928 loss: 0.9928 2022/06/29 01:08:44 - mmengine - INFO - Epoch(train) [84][2080/3757] lr: 1.000e-04 eta: 4:34:01 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 9.5797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8898 loss: 0.8898 2022/06/29 01:08:50 - mmengine - INFO - Epoch(train) [84][2100/3757] lr: 1.000e-04 eta: 4:33:56 time: 1.206 data_time: 0.011 memory: 5150 grad_norm: 7.8617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6254 loss: 1.6254 2022/06/29 01:08:54 - mmengine - INFO - Epoch(train) [84][2120/3757] lr: 1.000e-04 eta: 4:33:50 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.0130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8917 loss: 0.8917 2022/06/29 01:09:00 - mmengine - INFO - Epoch(train) [84][2140/3757] lr: 1.000e-04 eta: 4:33:45 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 9.2517 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/06/29 01:09:05 - mmengine - INFO - Epoch(train) [84][2160/3757] lr: 1.000e-04 eta: 4:33:40 time: 0.673 data_time: 0.008 memory: 5150 grad_norm: 7.7542 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4814 loss: 1.4814 2022/06/29 01:09:07 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:09:10 - mmengine - INFO - Epoch(train) [84][2180/3757] lr: 1.000e-04 eta: 4:33:34 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.9996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2667 loss: 1.2667 2022/06/29 01:09:16 - mmengine - INFO - Epoch(train) [84][2200/3757] lr: 1.000e-04 eta: 4:33:29 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.9149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7924 loss: 0.7924 2022/06/29 01:09:22 - mmengine - INFO - Epoch(train) [84][2220/3757] lr: 1.000e-04 eta: 4:33:24 time: 0.697 data_time: 0.008 memory: 5150 grad_norm: 10.0769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2863 loss: 1.2863 2022/06/29 01:09:27 - mmengine - INFO - Epoch(train) [84][2240/3757] lr: 1.000e-04 eta: 4:33:18 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.4907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9468 loss: 0.9468 2022/06/29 01:09:32 - mmengine - INFO - Epoch(train) [84][2260/3757] lr: 1.000e-04 eta: 4:33:13 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.5709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7199 loss: 1.7199 2022/06/29 01:09:38 - mmengine - INFO - Epoch(train) [84][2280/3757] lr: 1.000e-04 eta: 4:33:08 time: 1.159 data_time: 0.008 memory: 5150 grad_norm: 5.8000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/06/29 01:09:43 - mmengine - INFO - Epoch(train) [84][2300/3757] lr: 1.000e-04 eta: 4:33:03 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.5979 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4231 loss: 1.4231 2022/06/29 01:09:49 - mmengine - INFO - Epoch(train) [84][2320/3757] lr: 1.000e-04 eta: 4:32:57 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 9.2845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/06/29 01:09:54 - mmengine - INFO - Epoch(train) [84][2340/3757] lr: 1.000e-04 eta: 4:32:52 time: 0.555 data_time: 0.008 memory: 5150 grad_norm: 9.7768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/06/29 01:09:59 - mmengine - INFO - Epoch(train) [84][2360/3757] lr: 1.000e-04 eta: 4:32:47 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.0945 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1618 loss: 1.1618 2022/06/29 01:10:04 - mmengine - INFO - Epoch(train) [84][2380/3757] lr: 1.000e-04 eta: 4:32:41 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 9.7859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2174 loss: 1.2174 2022/06/29 01:10:10 - mmengine - INFO - Epoch(train) [84][2400/3757] lr: 1.000e-04 eta: 4:32:36 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 8.7885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9490 loss: 0.9490 2022/06/29 01:10:15 - mmengine - INFO - Epoch(train) [84][2420/3757] lr: 1.000e-04 eta: 4:32:31 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 10.0507 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1762 loss: 1.1762 2022/06/29 01:10:21 - mmengine - INFO - Epoch(train) [84][2440/3757] lr: 1.000e-04 eta: 4:32:25 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.6561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5508 loss: 1.5508 2022/06/29 01:10:26 - mmengine - INFO - Epoch(train) [84][2460/3757] lr: 1.000e-04 eta: 4:32:20 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.2079 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1258 loss: 1.1258 2022/06/29 01:10:31 - mmengine - INFO - Epoch(train) [84][2480/3757] lr: 1.000e-04 eta: 4:32:15 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 8.4659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2855 loss: 1.2855 2022/06/29 01:10:37 - mmengine - INFO - Epoch(train) [84][2500/3757] lr: 1.000e-04 eta: 4:32:09 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 9.4867 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2643 loss: 1.2643 2022/06/29 01:10:42 - mmengine - INFO - Epoch(train) [84][2520/3757] lr: 1.000e-04 eta: 4:32:04 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.7157 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2618 loss: 1.2618 2022/06/29 01:10:48 - mmengine - INFO - Epoch(train) [84][2540/3757] lr: 1.000e-04 eta: 4:31:59 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.0434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1269 loss: 1.1269 2022/06/29 01:10:53 - mmengine - INFO - Epoch(train) [84][2560/3757] lr: 1.000e-04 eta: 4:31:54 time: 0.218 data_time: 0.013 memory: 5150 grad_norm: 11.1371 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/06/29 01:10:58 - mmengine - INFO - Epoch(train) [84][2580/3757] lr: 1.000e-04 eta: 4:31:48 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 7.7059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1070 loss: 1.1070 2022/06/29 01:11:03 - mmengine - INFO - Epoch(train) [84][2600/3757] lr: 1.000e-04 eta: 4:31:43 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.2058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/06/29 01:11:09 - mmengine - INFO - Epoch(train) [84][2620/3757] lr: 1.000e-04 eta: 4:31:37 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 9.2065 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/06/29 01:11:14 - mmengine - INFO - Epoch(train) [84][2640/3757] lr: 1.000e-04 eta: 4:31:32 time: 0.229 data_time: 0.010 memory: 5150 grad_norm: 8.8777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/06/29 01:11:19 - mmengine - INFO - Epoch(train) [84][2660/3757] lr: 1.000e-04 eta: 4:31:27 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.6378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/06/29 01:11:25 - mmengine - INFO - Epoch(train) [84][2680/3757] lr: 1.000e-04 eta: 4:31:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.1901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2415 loss: 1.2415 2022/06/29 01:11:29 - mmengine - INFO - Epoch(train) [84][2700/3757] lr: 1.000e-04 eta: 4:31:16 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.8904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7282 loss: 0.7282 2022/06/29 01:11:35 - mmengine - INFO - Epoch(train) [84][2720/3757] lr: 1.000e-04 eta: 4:31:11 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 11.2017 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3709 loss: 1.3709 2022/06/29 01:11:40 - mmengine - INFO - Epoch(train) [84][2740/3757] lr: 1.000e-04 eta: 4:31:06 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 8.3773 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1929 loss: 1.1929 2022/06/29 01:11:46 - mmengine - INFO - Epoch(train) [84][2760/3757] lr: 1.000e-04 eta: 4:31:00 time: 0.403 data_time: 0.011 memory: 5150 grad_norm: 8.1345 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/06/29 01:11:51 - mmengine - INFO - Epoch(train) [84][2780/3757] lr: 1.000e-04 eta: 4:30:55 time: 0.215 data_time: 0.025 memory: 5150 grad_norm: 10.2416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/06/29 01:11:57 - mmengine - INFO - Epoch(train) [84][2800/3757] lr: 1.000e-04 eta: 4:30:50 time: 0.237 data_time: 0.032 memory: 5150 grad_norm: 8.1670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/06/29 01:12:02 - mmengine - INFO - Epoch(train) [84][2820/3757] lr: 1.000e-04 eta: 4:30:44 time: 0.600 data_time: 0.011 memory: 5150 grad_norm: 8.7446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1010 loss: 1.1010 2022/06/29 01:12:07 - mmengine - INFO - Epoch(train) [84][2840/3757] lr: 1.000e-04 eta: 4:30:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.2708 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/06/29 01:12:13 - mmengine - INFO - Epoch(train) [84][2860/3757] lr: 1.000e-04 eta: 4:30:34 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 7.4401 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9788 loss: 0.9788 2022/06/29 01:12:18 - mmengine - INFO - Epoch(train) [84][2880/3757] lr: 1.000e-04 eta: 4:30:28 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.9847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1675 loss: 1.1675 2022/06/29 01:12:23 - mmengine - INFO - Epoch(train) [84][2900/3757] lr: 1.000e-04 eta: 4:30:23 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 9.5783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1240 loss: 1.1240 2022/06/29 01:12:29 - mmengine - INFO - Epoch(train) [84][2920/3757] lr: 1.000e-04 eta: 4:30:18 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.4131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/06/29 01:12:34 - mmengine - INFO - Epoch(train) [84][2940/3757] lr: 1.000e-04 eta: 4:30:12 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.1742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1155 loss: 1.1155 2022/06/29 01:12:39 - mmengine - INFO - Epoch(train) [84][2960/3757] lr: 1.000e-04 eta: 4:30:07 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 8.5368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1014 loss: 1.1014 2022/06/29 01:12:44 - mmengine - INFO - Epoch(train) [84][2980/3757] lr: 1.000e-04 eta: 4:30:02 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.5283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0573 loss: 1.0573 2022/06/29 01:12:49 - mmengine - INFO - Epoch(train) [84][3000/3757] lr: 1.000e-04 eta: 4:29:56 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.2733 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7980 loss: 0.7980 2022/06/29 01:12:54 - mmengine - INFO - Epoch(train) [84][3020/3757] lr: 1.000e-04 eta: 4:29:51 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6594 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0284 loss: 1.0284 2022/06/29 01:13:00 - mmengine - INFO - Epoch(train) [84][3040/3757] lr: 1.000e-04 eta: 4:29:46 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 9.0236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0207 loss: 1.0207 2022/06/29 01:13:05 - mmengine - INFO - Epoch(train) [84][3060/3757] lr: 1.000e-04 eta: 4:29:40 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.9130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3462 loss: 1.3462 2022/06/29 01:13:10 - mmengine - INFO - Epoch(train) [84][3080/3757] lr: 1.000e-04 eta: 4:29:35 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.8246 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0442 loss: 1.0442 2022/06/29 01:13:16 - mmengine - INFO - Epoch(train) [84][3100/3757] lr: 1.000e-04 eta: 4:29:30 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.1720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2047 loss: 1.2047 2022/06/29 01:13:21 - mmengine - INFO - Epoch(train) [84][3120/3757] lr: 1.000e-04 eta: 4:29:24 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.8471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0396 loss: 1.0396 2022/06/29 01:13:26 - mmengine - INFO - Epoch(train) [84][3140/3757] lr: 1.000e-04 eta: 4:29:19 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.7032 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7968 loss: 0.7968 2022/06/29 01:13:31 - mmengine - INFO - Epoch(train) [84][3160/3757] lr: 1.000e-04 eta: 4:29:13 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 9.2170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8045 loss: 0.8045 2022/06/29 01:13:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:13:36 - mmengine - INFO - Epoch(train) [84][3180/3757] lr: 1.000e-04 eta: 4:29:08 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.7380 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/06/29 01:13:42 - mmengine - INFO - Epoch(train) [84][3200/3757] lr: 1.000e-04 eta: 4:29:03 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 8.4452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1083 loss: 1.1083 2022/06/29 01:13:47 - mmengine - INFO - Epoch(train) [84][3220/3757] lr: 1.000e-04 eta: 4:28:57 time: 0.203 data_time: 0.020 memory: 5150 grad_norm: 9.1612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3226 loss: 1.3226 2022/06/29 01:13:52 - mmengine - INFO - Epoch(train) [84][3240/3757] lr: 1.000e-04 eta: 4:28:52 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.2387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9174 loss: 0.9174 2022/06/29 01:13:58 - mmengine - INFO - Epoch(train) [84][3260/3757] lr: 1.000e-04 eta: 4:28:47 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.9985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/06/29 01:14:03 - mmengine - INFO - Epoch(train) [84][3280/3757] lr: 1.000e-04 eta: 4:28:41 time: 0.222 data_time: 0.044 memory: 5150 grad_norm: 10.4281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1045 loss: 1.1045 2022/06/29 01:14:08 - mmengine - INFO - Epoch(train) [84][3300/3757] lr: 1.000e-04 eta: 4:28:36 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.8318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4041 loss: 1.4041 2022/06/29 01:14:14 - mmengine - INFO - Epoch(train) [84][3320/3757] lr: 1.000e-04 eta: 4:28:31 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.7656 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3693 loss: 1.3693 2022/06/29 01:14:19 - mmengine - INFO - Epoch(train) [84][3340/3757] lr: 1.000e-04 eta: 4:28:25 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 8.4623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/06/29 01:14:24 - mmengine - INFO - Epoch(train) [84][3360/3757] lr: 1.000e-04 eta: 4:28:20 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 10.0437 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4042 loss: 1.4042 2022/06/29 01:14:30 - mmengine - INFO - Epoch(train) [84][3380/3757] lr: 1.000e-04 eta: 4:28:15 time: 0.236 data_time: 0.006 memory: 5150 grad_norm: 9.5627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1121 loss: 1.1121 2022/06/29 01:14:35 - mmengine - INFO - Epoch(train) [84][3400/3757] lr: 1.000e-04 eta: 4:28:09 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.2489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1129 loss: 1.1129 2022/06/29 01:14:40 - mmengine - INFO - Epoch(train) [84][3420/3757] lr: 1.000e-04 eta: 4:28:04 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3883 loss: 1.3883 2022/06/29 01:14:45 - mmengine - INFO - Epoch(train) [84][3440/3757] lr: 1.000e-04 eta: 4:27:59 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 8.6115 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5077 loss: 1.5077 2022/06/29 01:14:51 - mmengine - INFO - Epoch(train) [84][3460/3757] lr: 1.000e-04 eta: 4:27:54 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.4830 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0062 loss: 1.0062 2022/06/29 01:14:56 - mmengine - INFO - Epoch(train) [84][3480/3757] lr: 1.000e-04 eta: 4:27:48 time: 0.211 data_time: 0.006 memory: 5150 grad_norm: 7.3347 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/06/29 01:15:01 - mmengine - INFO - Epoch(train) [84][3500/3757] lr: 1.000e-04 eta: 4:27:43 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 9.4057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/06/29 01:15:06 - mmengine - INFO - Epoch(train) [84][3520/3757] lr: 1.000e-04 eta: 4:27:37 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.3707 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0327 loss: 1.0327 2022/06/29 01:15:11 - mmengine - INFO - Epoch(train) [84][3540/3757] lr: 1.000e-04 eta: 4:27:32 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.4753 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3279 loss: 1.3279 2022/06/29 01:15:17 - mmengine - INFO - Epoch(train) [84][3560/3757] lr: 1.000e-04 eta: 4:27:27 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.3109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2156 loss: 1.2156 2022/06/29 01:15:22 - mmengine - INFO - Epoch(train) [84][3580/3757] lr: 1.000e-04 eta: 4:27:21 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 9.8215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4324 loss: 1.4324 2022/06/29 01:15:27 - mmengine - INFO - Epoch(train) [84][3600/3757] lr: 1.000e-04 eta: 4:27:16 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.7942 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0270 loss: 1.0270 2022/06/29 01:15:33 - mmengine - INFO - Epoch(train) [84][3620/3757] lr: 1.000e-04 eta: 4:27:11 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1533 loss: 1.1533 2022/06/29 01:15:38 - mmengine - INFO - Epoch(train) [84][3640/3757] lr: 1.000e-04 eta: 4:27:05 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.7669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/06/29 01:15:43 - mmengine - INFO - Epoch(train) [84][3660/3757] lr: 1.000e-04 eta: 4:27:00 time: 0.267 data_time: 0.007 memory: 5150 grad_norm: 9.6129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0634 loss: 1.0634 2022/06/29 01:15:49 - mmengine - INFO - Epoch(train) [84][3680/3757] lr: 1.000e-04 eta: 4:26:55 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.5111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0007 loss: 1.0007 2022/06/29 01:15:54 - mmengine - INFO - Epoch(train) [84][3700/3757] lr: 1.000e-04 eta: 4:26:50 time: 0.265 data_time: 0.007 memory: 5150 grad_norm: 8.3541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7182 loss: 0.7182 2022/06/29 01:15:59 - mmengine - INFO - Epoch(train) [84][3720/3757] lr: 1.000e-04 eta: 4:26:44 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.0061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7831 loss: 0.7831 2022/06/29 01:16:04 - mmengine - INFO - Epoch(train) [84][3740/3757] lr: 1.000e-04 eta: 4:26:39 time: 0.222 data_time: 0.006 memory: 5150 grad_norm: 7.8642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/06/29 01:16:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:16:41 - mmengine - INFO - Epoch(val) [84][20/310] eta: 0:05:54 time: 0.976 data_time: 0.335 memory: 9746 2022/06/29 01:17:03 - mmengine - INFO - Epoch(val) [84][40/310] eta: 0:04:57 time: 0.969 data_time: 0.306 memory: 9746 2022/06/29 01:17:27 - mmengine - INFO - Epoch(val) [84][60/310] eta: 0:04:19 time: 1.109 data_time: 0.450 memory: 9746 2022/06/29 01:17:50 - mmengine - INFO - Epoch(val) [84][80/310] eta: 0:04:30 time: 1.062 data_time: 0.421 memory: 9746 2022/06/29 01:18:14 - mmengine - INFO - Epoch(val) [84][100/310] eta: 0:04:06 time: 2.174 data_time: 1.513 memory: 9746 2022/06/29 01:18:35 - mmengine - INFO - Epoch(val) [84][120/310] eta: 0:03:25 time: 1.136 data_time: 0.483 memory: 9746 2022/06/29 01:18:59 - mmengine - INFO - Epoch(val) [84][140/310] eta: 0:03:20 time: 1.091 data_time: 0.430 memory: 9746 2022/06/29 01:19:24 - mmengine - INFO - Epoch(val) [84][160/310] eta: 0:03:15 time: 3.640 data_time: 2.953 memory: 9746 2022/06/29 01:19:47 - mmengine - INFO - Epoch(val) [84][180/310] eta: 0:02:53 time: 1.067 data_time: 0.415 memory: 9746 2022/06/29 01:20:09 - mmengine - INFO - Epoch(val) [84][200/310] eta: 0:02:07 time: 1.073 data_time: 0.438 memory: 9746 2022/06/29 01:20:31 - mmengine - INFO - Epoch(val) [84][220/310] eta: 0:01:37 time: 1.085 data_time: 0.423 memory: 9746 2022/06/29 01:20:53 - mmengine - INFO - Epoch(val) [84][240/310] eta: 0:01:14 time: 1.015 data_time: 0.284 memory: 9746 2022/06/29 01:21:15 - mmengine - INFO - Epoch(val) [84][260/310] eta: 0:00:56 time: 1.034 data_time: 0.374 memory: 9746 2022/06/29 01:21:38 - mmengine - INFO - Epoch(val) [84][280/310] eta: 0:00:34 time: 2.211 data_time: 1.572 memory: 9746 2022/06/29 01:21:58 - mmengine - INFO - Epoch(val) [84][300/310] eta: 0:00:09 time: 0.670 data_time: 0.093 memory: 9746 2022/06/29 01:22:11 - mmengine - INFO - Epoch(val) [84][310/310] acc/top1: 0.7184 acc/top5: 0.9046 acc/mean1: 0.7183 2022/06/29 01:22:20 - mmengine - INFO - Epoch(train) [85][20/3757] lr: 1.000e-04 eta: 4:26:29 time: 0.199 data_time: 0.014 memory: 9746 grad_norm: 8.6056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1316 loss: 1.1316 2022/06/29 01:22:26 - mmengine - INFO - Epoch(train) [85][40/3757] lr: 1.000e-04 eta: 4:26:24 time: 0.205 data_time: 0.024 memory: 5150 grad_norm: 8.5014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1716 loss: 1.1716 2022/06/29 01:22:30 - mmengine - INFO - Epoch(train) [85][60/3757] lr: 1.000e-04 eta: 4:26:18 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7568 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/06/29 01:22:36 - mmengine - INFO - Epoch(train) [85][80/3757] lr: 1.000e-04 eta: 4:26:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.8746 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3875 loss: 1.3875 2022/06/29 01:22:42 - mmengine - INFO - Epoch(train) [85][100/3757] lr: 1.000e-04 eta: 4:26:08 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.8788 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5794 loss: 1.5794 2022/06/29 01:22:47 - mmengine - INFO - Epoch(train) [85][120/3757] lr: 1.000e-04 eta: 4:26:03 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.5231 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0236 loss: 1.0236 2022/06/29 01:22:52 - mmengine - INFO - Epoch(train) [85][140/3757] lr: 1.000e-04 eta: 4:25:57 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.7261 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1916 loss: 1.1916 2022/06/29 01:22:58 - mmengine - INFO - Epoch(train) [85][160/3757] lr: 1.000e-04 eta: 4:25:52 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.7202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6826 loss: 1.6826 2022/06/29 01:23:02 - mmengine - INFO - Epoch(train) [85][180/3757] lr: 1.000e-04 eta: 4:25:46 time: 0.233 data_time: 0.025 memory: 5150 grad_norm: 9.1565 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3461 loss: 1.3461 2022/06/29 01:23:08 - mmengine - INFO - Epoch(train) [85][200/3757] lr: 1.000e-04 eta: 4:25:41 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.6031 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/06/29 01:23:14 - mmengine - INFO - Epoch(train) [85][220/3757] lr: 1.000e-04 eta: 4:25:36 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 10.9061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5614 loss: 1.5614 2022/06/29 01:23:19 - mmengine - INFO - Epoch(train) [85][240/3757] lr: 1.000e-04 eta: 4:25:31 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 9.0236 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5467 loss: 1.5467 2022/06/29 01:23:24 - mmengine - INFO - Epoch(train) [85][260/3757] lr: 1.000e-04 eta: 4:25:25 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.4658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2564 loss: 1.2564 2022/06/29 01:23:29 - mmengine - INFO - Epoch(train) [85][280/3757] lr: 1.000e-04 eta: 4:25:20 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 8.7836 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1546 loss: 1.1546 2022/06/29 01:23:34 - mmengine - INFO - Epoch(train) [85][300/3757] lr: 1.000e-04 eta: 4:25:15 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.7661 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.1160 loss: 1.1160 2022/06/29 01:23:40 - mmengine - INFO - Epoch(train) [85][320/3757] lr: 1.000e-04 eta: 4:25:09 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.1796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/06/29 01:23:46 - mmengine - INFO - Epoch(train) [85][340/3757] lr: 1.000e-04 eta: 4:25:04 time: 0.248 data_time: 0.008 memory: 5150 grad_norm: 8.2702 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4064 loss: 1.4064 2022/06/29 01:23:51 - mmengine - INFO - Epoch(train) [85][360/3757] lr: 1.000e-04 eta: 4:24:59 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 8.4181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/06/29 01:23:57 - mmengine - INFO - Epoch(train) [85][380/3757] lr: 1.000e-04 eta: 4:24:53 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.5368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5595 loss: 1.5595 2022/06/29 01:24:02 - mmengine - INFO - Epoch(train) [85][400/3757] lr: 1.000e-04 eta: 4:24:48 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.9536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9240 loss: 0.9240 2022/06/29 01:24:05 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:24:07 - mmengine - INFO - Epoch(train) [85][420/3757] lr: 1.000e-04 eta: 4:24:43 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.0750 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3013 loss: 1.3013 2022/06/29 01:24:13 - mmengine - INFO - Epoch(train) [85][440/3757] lr: 1.000e-04 eta: 4:24:38 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 9.2971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4997 loss: 1.4997 2022/06/29 01:24:18 - mmengine - INFO - Epoch(train) [85][460/3757] lr: 1.000e-04 eta: 4:24:32 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/06/29 01:24:23 - mmengine - INFO - Epoch(train) [85][480/3757] lr: 1.000e-04 eta: 4:24:27 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1515 loss: 1.1515 2022/06/29 01:24:28 - mmengine - INFO - Epoch(train) [85][500/3757] lr: 1.000e-04 eta: 4:24:21 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.1631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0711 loss: 1.0711 2022/06/29 01:24:34 - mmengine - INFO - Epoch(train) [85][520/3757] lr: 1.000e-04 eta: 4:24:16 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 10.2115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/06/29 01:24:39 - mmengine - INFO - Epoch(train) [85][540/3757] lr: 1.000e-04 eta: 4:24:11 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 11.2449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/06/29 01:24:45 - mmengine - INFO - Epoch(train) [85][560/3757] lr: 1.000e-04 eta: 4:24:06 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.3863 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0219 loss: 1.0219 2022/06/29 01:24:50 - mmengine - INFO - Epoch(train) [85][580/3757] lr: 1.000e-04 eta: 4:24:00 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 9.0007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2302 loss: 1.2302 2022/06/29 01:24:55 - mmengine - INFO - Epoch(train) [85][600/3757] lr: 1.000e-04 eta: 4:23:55 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 6.7288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7951 loss: 0.7951 2022/06/29 01:25:00 - mmengine - INFO - Epoch(train) [85][620/3757] lr: 1.000e-04 eta: 4:23:49 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.4625 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2930 loss: 1.2930 2022/06/29 01:25:06 - mmengine - INFO - Epoch(train) [85][640/3757] lr: 1.000e-04 eta: 4:23:44 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.3180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2183 loss: 1.2183 2022/06/29 01:25:11 - mmengine - INFO - Epoch(train) [85][660/3757] lr: 1.000e-04 eta: 4:23:39 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.7197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0501 loss: 1.0501 2022/06/29 01:25:16 - mmengine - INFO - Epoch(train) [85][680/3757] lr: 1.000e-04 eta: 4:23:34 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 10.1683 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1025 loss: 1.1025 2022/06/29 01:25:22 - mmengine - INFO - Epoch(train) [85][700/3757] lr: 1.000e-04 eta: 4:23:28 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 8.9635 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2977 loss: 1.2977 2022/06/29 01:25:27 - mmengine - INFO - Epoch(train) [85][720/3757] lr: 1.000e-04 eta: 4:23:23 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 7.6332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4938 loss: 1.4938 2022/06/29 01:25:32 - mmengine - INFO - Epoch(train) [85][740/3757] lr: 1.000e-04 eta: 4:23:18 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 7.8832 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/06/29 01:25:38 - mmengine - INFO - Epoch(train) [85][760/3757] lr: 1.000e-04 eta: 4:23:12 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 10.1094 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.9466 loss: 0.9466 2022/06/29 01:25:43 - mmengine - INFO - Epoch(train) [85][780/3757] lr: 1.000e-04 eta: 4:23:07 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 7.6422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3227 loss: 1.3227 2022/06/29 01:25:48 - mmengine - INFO - Epoch(train) [85][800/3757] lr: 1.000e-04 eta: 4:23:02 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.0130 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/06/29 01:25:54 - mmengine - INFO - Epoch(train) [85][820/3757] lr: 1.000e-04 eta: 4:22:56 time: 0.344 data_time: 0.008 memory: 5150 grad_norm: 8.9488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3548 loss: 1.3548 2022/06/29 01:25:59 - mmengine - INFO - Epoch(train) [85][840/3757] lr: 1.000e-04 eta: 4:22:51 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.4101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0135 loss: 1.0135 2022/06/29 01:26:05 - mmengine - INFO - Epoch(train) [85][860/3757] lr: 1.000e-04 eta: 4:22:46 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 10.3998 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9951 loss: 0.9951 2022/06/29 01:26:10 - mmengine - INFO - Epoch(train) [85][880/3757] lr: 1.000e-04 eta: 4:22:40 time: 0.334 data_time: 0.008 memory: 5150 grad_norm: 7.6515 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0894 loss: 1.0894 2022/06/29 01:26:15 - mmengine - INFO - Epoch(train) [85][900/3757] lr: 1.000e-04 eta: 4:22:35 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2187 loss: 1.2187 2022/06/29 01:26:21 - mmengine - INFO - Epoch(train) [85][920/3757] lr: 1.000e-04 eta: 4:22:30 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 8.6747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3007 loss: 1.3007 2022/06/29 01:26:26 - mmengine - INFO - Epoch(train) [85][940/3757] lr: 1.000e-04 eta: 4:22:24 time: 0.476 data_time: 0.010 memory: 5150 grad_norm: 8.1063 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2172 loss: 1.2172 2022/06/29 01:26:31 - mmengine - INFO - Epoch(train) [85][960/3757] lr: 1.000e-04 eta: 4:22:19 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.2176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1164 loss: 1.1164 2022/06/29 01:26:37 - mmengine - INFO - Epoch(train) [85][980/3757] lr: 1.000e-04 eta: 4:22:14 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 9.5576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3899 loss: 1.3899 2022/06/29 01:26:43 - mmengine - INFO - Epoch(train) [85][1000/3757] lr: 1.000e-04 eta: 4:22:09 time: 0.624 data_time: 0.007 memory: 5150 grad_norm: 9.3098 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2338 loss: 1.2338 2022/06/29 01:26:48 - mmengine - INFO - Epoch(train) [85][1020/3757] lr: 1.000e-04 eta: 4:22:03 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.3246 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8277 loss: 1.8277 2022/06/29 01:26:53 - mmengine - INFO - Epoch(train) [85][1040/3757] lr: 1.000e-04 eta: 4:21:58 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 9.9564 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0309 loss: 1.0309 2022/06/29 01:26:58 - mmengine - INFO - Epoch(train) [85][1060/3757] lr: 1.000e-04 eta: 4:21:52 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.2655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3719 loss: 1.3719 2022/06/29 01:27:04 - mmengine - INFO - Epoch(train) [85][1080/3757] lr: 1.000e-04 eta: 4:21:47 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 9.4927 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/06/29 01:27:09 - mmengine - INFO - Epoch(train) [85][1100/3757] lr: 1.000e-04 eta: 4:21:42 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 7.5490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2569 loss: 1.2569 2022/06/29 01:27:14 - mmengine - INFO - Epoch(train) [85][1120/3757] lr: 1.000e-04 eta: 4:21:36 time: 0.655 data_time: 0.007 memory: 5150 grad_norm: 8.5215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0603 loss: 1.0603 2022/06/29 01:27:19 - mmengine - INFO - Epoch(train) [85][1140/3757] lr: 1.000e-04 eta: 4:21:31 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.9847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1055 loss: 1.1055 2022/06/29 01:27:25 - mmengine - INFO - Epoch(train) [85][1160/3757] lr: 1.000e-04 eta: 4:21:26 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.6023 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/06/29 01:27:30 - mmengine - INFO - Epoch(train) [85][1180/3757] lr: 1.000e-04 eta: 4:21:21 time: 0.882 data_time: 0.012 memory: 5150 grad_norm: 8.5337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1911 loss: 1.1911 2022/06/29 01:27:35 - mmengine - INFO - Epoch(train) [85][1200/3757] lr: 1.000e-04 eta: 4:21:15 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.2904 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/06/29 01:27:41 - mmengine - INFO - Epoch(train) [85][1220/3757] lr: 1.000e-04 eta: 4:21:10 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.7361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5024 loss: 1.5024 2022/06/29 01:27:46 - mmengine - INFO - Epoch(train) [85][1240/3757] lr: 1.000e-04 eta: 4:21:05 time: 0.827 data_time: 0.007 memory: 5150 grad_norm: 8.7373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9552 loss: 0.9552 2022/06/29 01:27:52 - mmengine - INFO - Epoch(train) [85][1260/3757] lr: 1.000e-04 eta: 4:20:59 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.2532 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/06/29 01:27:57 - mmengine - INFO - Epoch(train) [85][1280/3757] lr: 1.000e-04 eta: 4:20:54 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.2500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/06/29 01:28:03 - mmengine - INFO - Epoch(train) [85][1300/3757] lr: 1.000e-04 eta: 4:20:49 time: 1.055 data_time: 0.012 memory: 5150 grad_norm: 9.3239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/06/29 01:28:08 - mmengine - INFO - Epoch(train) [85][1320/3757] lr: 1.000e-04 eta: 4:20:43 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1048 loss: 1.1048 2022/06/29 01:28:13 - mmengine - INFO - Epoch(train) [85][1340/3757] lr: 1.000e-04 eta: 4:20:38 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 8.2500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9060 loss: 0.9060 2022/06/29 01:28:18 - mmengine - INFO - Epoch(train) [85][1360/3757] lr: 1.000e-04 eta: 4:20:33 time: 0.489 data_time: 0.008 memory: 5150 grad_norm: 8.9910 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1377 loss: 1.1377 2022/06/29 01:28:23 - mmengine - INFO - Epoch(train) [85][1380/3757] lr: 1.000e-04 eta: 4:20:27 time: 0.286 data_time: 0.013 memory: 5150 grad_norm: 9.3509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8828 loss: 0.8828 2022/06/29 01:28:28 - mmengine - INFO - Epoch(train) [85][1400/3757] lr: 1.000e-04 eta: 4:20:22 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.2396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2929 loss: 1.2929 2022/06/29 01:28:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:28:34 - mmengine - INFO - Epoch(train) [85][1420/3757] lr: 1.000e-04 eta: 4:20:17 time: 0.570 data_time: 0.015 memory: 5150 grad_norm: 9.0319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3160 loss: 1.3160 2022/06/29 01:28:39 - mmengine - INFO - Epoch(train) [85][1440/3757] lr: 1.000e-04 eta: 4:20:11 time: 0.195 data_time: 0.009 memory: 5150 grad_norm: 9.7211 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3506 loss: 1.3506 2022/06/29 01:28:45 - mmengine - INFO - Epoch(train) [85][1460/3757] lr: 1.000e-04 eta: 4:20:06 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.6649 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5121 loss: 1.5121 2022/06/29 01:28:50 - mmengine - INFO - Epoch(train) [85][1480/3757] lr: 1.000e-04 eta: 4:20:01 time: 0.642 data_time: 0.011 memory: 5150 grad_norm: 8.5418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7743 loss: 0.7743 2022/06/29 01:28:55 - mmengine - INFO - Epoch(train) [85][1500/3757] lr: 1.000e-04 eta: 4:19:55 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 9.0594 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4254 loss: 1.4254 2022/06/29 01:29:01 - mmengine - INFO - Epoch(train) [85][1520/3757] lr: 1.000e-04 eta: 4:19:50 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 7.8269 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1553 loss: 1.1553 2022/06/29 01:29:07 - mmengine - INFO - Epoch(train) [85][1540/3757] lr: 1.000e-04 eta: 4:19:45 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 10.2438 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2468 loss: 1.2468 2022/06/29 01:29:12 - mmengine - INFO - Epoch(train) [85][1560/3757] lr: 1.000e-04 eta: 4:19:39 time: 0.204 data_time: 0.020 memory: 5150 grad_norm: 8.3086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1157 loss: 1.1157 2022/06/29 01:29:17 - mmengine - INFO - Epoch(train) [85][1580/3757] lr: 1.000e-04 eta: 4:19:34 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 7.3959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2343 loss: 1.2343 2022/06/29 01:29:22 - mmengine - INFO - Epoch(train) [85][1600/3757] lr: 1.000e-04 eta: 4:19:29 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.9452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2340 loss: 1.2340 2022/06/29 01:29:27 - mmengine - INFO - Epoch(train) [85][1620/3757] lr: 1.000e-04 eta: 4:19:23 time: 0.215 data_time: 0.014 memory: 5150 grad_norm: 9.3078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9946 loss: 0.9946 2022/06/29 01:29:33 - mmengine - INFO - Epoch(train) [85][1640/3757] lr: 1.000e-04 eta: 4:19:18 time: 0.242 data_time: 0.007 memory: 5150 grad_norm: 10.4072 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4787 loss: 1.4787 2022/06/29 01:29:38 - mmengine - INFO - Epoch(train) [85][1660/3757] lr: 1.000e-04 eta: 4:19:13 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 10.0527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/29 01:29:44 - mmengine - INFO - Epoch(train) [85][1680/3757] lr: 1.000e-04 eta: 4:19:07 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.5465 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2097 loss: 1.2097 2022/06/29 01:29:49 - mmengine - INFO - Epoch(train) [85][1700/3757] lr: 1.000e-04 eta: 4:19:02 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.1264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2917 loss: 1.2917 2022/06/29 01:29:54 - mmengine - INFO - Epoch(train) [85][1720/3757] lr: 1.000e-04 eta: 4:18:57 time: 0.581 data_time: 0.008 memory: 5150 grad_norm: 9.0322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5780 loss: 1.5780 2022/06/29 01:29:59 - mmengine - INFO - Epoch(train) [85][1740/3757] lr: 1.000e-04 eta: 4:18:51 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/06/29 01:30:05 - mmengine - INFO - Epoch(train) [85][1760/3757] lr: 1.000e-04 eta: 4:18:46 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.9814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0771 loss: 1.0771 2022/06/29 01:30:10 - mmengine - INFO - Epoch(train) [85][1780/3757] lr: 1.000e-04 eta: 4:18:41 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5099 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2396 loss: 1.2396 2022/06/29 01:30:15 - mmengine - INFO - Epoch(train) [85][1800/3757] lr: 1.000e-04 eta: 4:18:36 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.1023 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3914 loss: 1.3914 2022/06/29 01:30:21 - mmengine - INFO - Epoch(train) [85][1820/3757] lr: 1.000e-04 eta: 4:18:30 time: 0.211 data_time: 0.016 memory: 5150 grad_norm: 9.8080 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0624 loss: 1.0624 2022/06/29 01:30:26 - mmengine - INFO - Epoch(train) [85][1840/3757] lr: 1.000e-04 eta: 4:18:25 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.6359 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2350 loss: 1.2350 2022/06/29 01:30:32 - mmengine - INFO - Epoch(train) [85][1860/3757] lr: 1.000e-04 eta: 4:18:20 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 10.3690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/06/29 01:30:37 - mmengine - INFO - Epoch(train) [85][1880/3757] lr: 1.000e-04 eta: 4:18:14 time: 0.279 data_time: 0.022 memory: 5150 grad_norm: 9.6926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1691 loss: 1.1691 2022/06/29 01:30:42 - mmengine - INFO - Epoch(train) [85][1900/3757] lr: 1.000e-04 eta: 4:18:09 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.2044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0139 loss: 1.0139 2022/06/29 01:30:48 - mmengine - INFO - Epoch(train) [85][1920/3757] lr: 1.000e-04 eta: 4:18:04 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 7.8227 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2556 loss: 1.2556 2022/06/29 01:30:53 - mmengine - INFO - Epoch(train) [85][1940/3757] lr: 1.000e-04 eta: 4:17:58 time: 0.698 data_time: 0.164 memory: 5150 grad_norm: 10.4332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8606 loss: 0.8606 2022/06/29 01:30:59 - mmengine - INFO - Epoch(train) [85][1960/3757] lr: 1.000e-04 eta: 4:17:53 time: 0.798 data_time: 0.008 memory: 5150 grad_norm: 7.6165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3510 loss: 1.3510 2022/06/29 01:31:04 - mmengine - INFO - Epoch(train) [85][1980/3757] lr: 1.000e-04 eta: 4:17:48 time: 0.193 data_time: 0.012 memory: 5150 grad_norm: 9.9628 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9369 loss: 0.9369 2022/06/29 01:31:09 - mmengine - INFO - Epoch(train) [85][2000/3757] lr: 1.000e-04 eta: 4:17:42 time: 0.203 data_time: 0.025 memory: 5150 grad_norm: 10.6523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/06/29 01:31:14 - mmengine - INFO - Epoch(train) [85][2020/3757] lr: 1.000e-04 eta: 4:17:37 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 7.5898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0725 loss: 1.0725 2022/06/29 01:31:19 - mmengine - INFO - Epoch(train) [85][2040/3757] lr: 1.000e-04 eta: 4:17:32 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 7.6583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1809 loss: 1.1809 2022/06/29 01:31:24 - mmengine - INFO - Epoch(train) [85][2060/3757] lr: 1.000e-04 eta: 4:17:26 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 8.3972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7549 loss: 0.7549 2022/06/29 01:31:30 - mmengine - INFO - Epoch(train) [85][2080/3757] lr: 1.000e-04 eta: 4:17:21 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.3408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6083 loss: 1.6083 2022/06/29 01:31:35 - mmengine - INFO - Epoch(train) [85][2100/3757] lr: 1.000e-04 eta: 4:17:16 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 8.5224 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8859 loss: 0.8859 2022/06/29 01:31:40 - mmengine - INFO - Epoch(train) [85][2120/3757] lr: 1.000e-04 eta: 4:17:10 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 9.8815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2443 loss: 1.2443 2022/06/29 01:31:46 - mmengine - INFO - Epoch(train) [85][2140/3757] lr: 1.000e-04 eta: 4:17:05 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.5609 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9251 loss: 0.9251 2022/06/29 01:31:51 - mmengine - INFO - Epoch(train) [85][2160/3757] lr: 1.000e-04 eta: 4:17:00 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.6904 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2003 loss: 1.2003 2022/06/29 01:31:56 - mmengine - INFO - Epoch(train) [85][2180/3757] lr: 1.000e-04 eta: 4:16:54 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 8.5585 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/06/29 01:32:02 - mmengine - INFO - Epoch(train) [85][2200/3757] lr: 1.000e-04 eta: 4:16:49 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0771 loss: 1.0771 2022/06/29 01:32:07 - mmengine - INFO - Epoch(train) [85][2220/3757] lr: 1.000e-04 eta: 4:16:44 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 7.4576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3067 loss: 1.3067 2022/06/29 01:32:12 - mmengine - INFO - Epoch(train) [85][2240/3757] lr: 1.000e-04 eta: 4:16:38 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 7.7950 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0565 loss: 1.0565 2022/06/29 01:32:18 - mmengine - INFO - Epoch(train) [85][2260/3757] lr: 1.000e-04 eta: 4:16:33 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.2544 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2668 loss: 1.2668 2022/06/29 01:32:23 - mmengine - INFO - Epoch(train) [85][2280/3757] lr: 1.000e-04 eta: 4:16:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.3224 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8671 loss: 0.8671 2022/06/29 01:32:28 - mmengine - INFO - Epoch(train) [85][2300/3757] lr: 1.000e-04 eta: 4:16:22 time: 0.210 data_time: 0.026 memory: 5150 grad_norm: 9.1526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1139 loss: 1.1139 2022/06/29 01:32:34 - mmengine - INFO - Epoch(train) [85][2320/3757] lr: 1.000e-04 eta: 4:16:17 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 9.0535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3246 loss: 1.3246 2022/06/29 01:32:39 - mmengine - INFO - Epoch(train) [85][2340/3757] lr: 1.000e-04 eta: 4:16:12 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.3760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1076 loss: 1.1076 2022/06/29 01:32:45 - mmengine - INFO - Epoch(train) [85][2360/3757] lr: 1.000e-04 eta: 4:16:06 time: 0.208 data_time: 0.026 memory: 5150 grad_norm: 8.8746 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4955 loss: 1.4955 2022/06/29 01:32:50 - mmengine - INFO - Epoch(train) [85][2380/3757] lr: 1.000e-04 eta: 4:16:01 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.2428 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2437 loss: 1.2437 2022/06/29 01:32:55 - mmengine - INFO - Epoch(train) [85][2400/3757] lr: 1.000e-04 eta: 4:15:56 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 8.7196 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4076 loss: 1.4076 2022/06/29 01:32:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:33:01 - mmengine - INFO - Epoch(train) [85][2420/3757] lr: 1.000e-04 eta: 4:15:50 time: 0.213 data_time: 0.023 memory: 5150 grad_norm: 8.7251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1746 loss: 1.1746 2022/06/29 01:33:06 - mmengine - INFO - Epoch(train) [85][2440/3757] lr: 1.000e-04 eta: 4:15:45 time: 0.195 data_time: 0.012 memory: 5150 grad_norm: 7.9513 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/06/29 01:33:12 - mmengine - INFO - Epoch(train) [85][2460/3757] lr: 1.000e-04 eta: 4:15:40 time: 0.247 data_time: 0.008 memory: 5150 grad_norm: 9.7439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6478 loss: 0.6478 2022/06/29 01:33:17 - mmengine - INFO - Epoch(train) [85][2480/3757] lr: 1.000e-04 eta: 4:15:35 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 11.0083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3098 loss: 1.3098 2022/06/29 01:33:22 - mmengine - INFO - Epoch(train) [85][2500/3757] lr: 1.000e-04 eta: 4:15:29 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 8.7345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4099 loss: 1.4099 2022/06/29 01:33:27 - mmengine - INFO - Epoch(train) [85][2520/3757] lr: 1.000e-04 eta: 4:15:24 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0938 loss: 1.0938 2022/06/29 01:33:33 - mmengine - INFO - Epoch(train) [85][2540/3757] lr: 1.000e-04 eta: 4:15:19 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 10.9086 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1517 loss: 1.1517 2022/06/29 01:33:38 - mmengine - INFO - Epoch(train) [85][2560/3757] lr: 1.000e-04 eta: 4:15:13 time: 0.540 data_time: 0.008 memory: 5150 grad_norm: 8.3639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3173 loss: 1.3173 2022/06/29 01:33:44 - mmengine - INFO - Epoch(train) [85][2580/3757] lr: 1.000e-04 eta: 4:15:08 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.4380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0647 loss: 1.0647 2022/06/29 01:33:50 - mmengine - INFO - Epoch(train) [85][2600/3757] lr: 1.000e-04 eta: 4:15:03 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 9.1144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3280 loss: 1.3280 2022/06/29 01:33:55 - mmengine - INFO - Epoch(train) [85][2620/3757] lr: 1.000e-04 eta: 4:14:57 time: 0.843 data_time: 0.013 memory: 5150 grad_norm: 9.0561 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/06/29 01:34:00 - mmengine - INFO - Epoch(train) [85][2640/3757] lr: 1.000e-04 eta: 4:14:52 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.6292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4720 loss: 1.4720 2022/06/29 01:34:05 - mmengine - INFO - Epoch(train) [85][2660/3757] lr: 1.000e-04 eta: 4:14:47 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 8.6131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4452 loss: 1.4452 2022/06/29 01:34:10 - mmengine - INFO - Epoch(train) [85][2680/3757] lr: 1.000e-04 eta: 4:14:41 time: 0.373 data_time: 0.007 memory: 5150 grad_norm: 9.1222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1734 loss: 1.1734 2022/06/29 01:34:15 - mmengine - INFO - Epoch(train) [85][2700/3757] lr: 1.000e-04 eta: 4:14:36 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.7372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0455 loss: 1.0455 2022/06/29 01:34:21 - mmengine - INFO - Epoch(train) [85][2720/3757] lr: 1.000e-04 eta: 4:14:31 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 8.3713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/06/29 01:34:26 - mmengine - INFO - Epoch(train) [85][2740/3757] lr: 1.000e-04 eta: 4:14:25 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.1773 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3599 loss: 1.3599 2022/06/29 01:34:31 - mmengine - INFO - Epoch(train) [85][2760/3757] lr: 1.000e-04 eta: 4:14:20 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 10.0628 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6603 loss: 1.6603 2022/06/29 01:34:37 - mmengine - INFO - Epoch(train) [85][2780/3757] lr: 1.000e-04 eta: 4:14:15 time: 0.210 data_time: 0.028 memory: 5150 grad_norm: 9.6100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1625 loss: 1.1625 2022/06/29 01:34:43 - mmengine - INFO - Epoch(train) [85][2800/3757] lr: 1.000e-04 eta: 4:14:09 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4071 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3109 loss: 1.3109 2022/06/29 01:34:47 - mmengine - INFO - Epoch(train) [85][2820/3757] lr: 1.000e-04 eta: 4:14:04 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.4373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/06/29 01:34:53 - mmengine - INFO - Epoch(train) [85][2840/3757] lr: 1.000e-04 eta: 4:13:59 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 7.5854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0251 loss: 1.0251 2022/06/29 01:34:59 - mmengine - INFO - Epoch(train) [85][2860/3757] lr: 1.000e-04 eta: 4:13:53 time: 0.539 data_time: 0.011 memory: 5150 grad_norm: 8.4963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5876 loss: 1.5876 2022/06/29 01:35:03 - mmengine - INFO - Epoch(train) [85][2880/3757] lr: 1.000e-04 eta: 4:13:48 time: 0.259 data_time: 0.007 memory: 5150 grad_norm: 8.5915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6980 loss: 0.6980 2022/06/29 01:35:09 - mmengine - INFO - Epoch(train) [85][2900/3757] lr: 1.000e-04 eta: 4:13:43 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.6028 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2014 loss: 1.2014 2022/06/29 01:35:15 - mmengine - INFO - Epoch(train) [85][2920/3757] lr: 1.000e-04 eta: 4:13:38 time: 0.535 data_time: 0.011 memory: 5150 grad_norm: 9.9536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8158 loss: 0.8158 2022/06/29 01:35:20 - mmengine - INFO - Epoch(train) [85][2940/3757] lr: 1.000e-04 eta: 4:13:32 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.5594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0584 loss: 1.0584 2022/06/29 01:35:25 - mmengine - INFO - Epoch(train) [85][2960/3757] lr: 1.000e-04 eta: 4:13:27 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.5203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0123 loss: 1.0123 2022/06/29 01:35:30 - mmengine - INFO - Epoch(train) [85][2980/3757] lr: 1.000e-04 eta: 4:13:21 time: 0.464 data_time: 0.008 memory: 5150 grad_norm: 8.4887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9645 loss: 0.9645 2022/06/29 01:35:35 - mmengine - INFO - Epoch(train) [85][3000/3757] lr: 1.000e-04 eta: 4:13:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.8080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1509 loss: 1.1509 2022/06/29 01:35:40 - mmengine - INFO - Epoch(train) [85][3020/3757] lr: 1.000e-04 eta: 4:13:11 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.6425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0938 loss: 1.0938 2022/06/29 01:35:46 - mmengine - INFO - Epoch(train) [85][3040/3757] lr: 1.000e-04 eta: 4:13:05 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 10.2996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5055 loss: 1.5055 2022/06/29 01:35:51 - mmengine - INFO - Epoch(train) [85][3060/3757] lr: 1.000e-04 eta: 4:13:00 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 7.7643 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/06/29 01:35:56 - mmengine - INFO - Epoch(train) [85][3080/3757] lr: 1.000e-04 eta: 4:12:55 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.4649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1522 loss: 1.1522 2022/06/29 01:36:02 - mmengine - INFO - Epoch(train) [85][3100/3757] lr: 1.000e-04 eta: 4:12:49 time: 0.805 data_time: 0.011 memory: 5150 grad_norm: 11.2405 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/06/29 01:36:07 - mmengine - INFO - Epoch(train) [85][3120/3757] lr: 1.000e-04 eta: 4:12:44 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.2882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9301 loss: 0.9301 2022/06/29 01:36:12 - mmengine - INFO - Epoch(train) [85][3140/3757] lr: 1.000e-04 eta: 4:12:39 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 10.3261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2210 loss: 1.2210 2022/06/29 01:36:18 - mmengine - INFO - Epoch(train) [85][3160/3757] lr: 1.000e-04 eta: 4:12:34 time: 1.083 data_time: 0.013 memory: 5150 grad_norm: 7.8992 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/06/29 01:36:23 - mmengine - INFO - Epoch(train) [85][3180/3757] lr: 1.000e-04 eta: 4:12:28 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.1806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/06/29 01:36:28 - mmengine - INFO - Epoch(train) [85][3200/3757] lr: 1.000e-04 eta: 4:12:23 time: 0.195 data_time: 0.015 memory: 5150 grad_norm: 9.0338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0481 loss: 1.0481 2022/06/29 01:36:34 - mmengine - INFO - Epoch(train) [85][3220/3757] lr: 1.000e-04 eta: 4:12:18 time: 1.818 data_time: 0.012 memory: 5150 grad_norm: 8.9271 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0672 loss: 1.0672 2022/06/29 01:36:39 - mmengine - INFO - Epoch(train) [85][3240/3757] lr: 1.000e-04 eta: 4:12:12 time: 0.221 data_time: 0.048 memory: 5150 grad_norm: 10.2553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2583 loss: 1.2583 2022/06/29 01:36:44 - mmengine - INFO - Epoch(train) [85][3260/3757] lr: 1.000e-04 eta: 4:12:07 time: 0.275 data_time: 0.033 memory: 5150 grad_norm: 11.4994 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1753 loss: 1.1753 2022/06/29 01:36:49 - mmengine - INFO - Epoch(train) [85][3280/3757] lr: 1.000e-04 eta: 4:12:01 time: 1.089 data_time: 0.011 memory: 5150 grad_norm: 10.7748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/06/29 01:36:54 - mmengine - INFO - Epoch(train) [85][3300/3757] lr: 1.000e-04 eta: 4:11:56 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.7882 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/06/29 01:36:59 - mmengine - INFO - Epoch(train) [85][3320/3757] lr: 1.000e-04 eta: 4:11:51 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 8.0641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5805 loss: 1.5805 2022/06/29 01:37:05 - mmengine - INFO - Epoch(train) [85][3340/3757] lr: 1.000e-04 eta: 4:11:45 time: 1.048 data_time: 0.008 memory: 5150 grad_norm: 8.6087 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8890 loss: 0.8890 2022/06/29 01:37:09 - mmengine - INFO - Epoch(train) [85][3360/3757] lr: 1.000e-04 eta: 4:11:40 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.2479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4867 loss: 1.4867 2022/06/29 01:37:15 - mmengine - INFO - Epoch(train) [85][3380/3757] lr: 1.000e-04 eta: 4:11:35 time: 0.208 data_time: 0.021 memory: 5150 grad_norm: 11.7862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/06/29 01:37:20 - mmengine - INFO - Epoch(train) [85][3400/3757] lr: 1.000e-04 eta: 4:11:29 time: 1.168 data_time: 0.010 memory: 5150 grad_norm: 10.7594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/06/29 01:37:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:37:26 - mmengine - INFO - Epoch(train) [85][3420/3757] lr: 1.000e-04 eta: 4:11:24 time: 0.221 data_time: 0.017 memory: 5150 grad_norm: 9.6315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8904 loss: 0.8904 2022/06/29 01:37:30 - mmengine - INFO - Epoch(train) [85][3440/3757] lr: 1.000e-04 eta: 4:11:19 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 7.9165 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0948 loss: 1.0948 2022/06/29 01:37:36 - mmengine - INFO - Epoch(train) [85][3460/3757] lr: 1.000e-04 eta: 4:11:13 time: 1.080 data_time: 0.008 memory: 5150 grad_norm: 7.2956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0549 loss: 1.0549 2022/06/29 01:37:41 - mmengine - INFO - Epoch(train) [85][3480/3757] lr: 1.000e-04 eta: 4:11:08 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 8.3161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9641 loss: 0.9641 2022/06/29 01:37:46 - mmengine - INFO - Epoch(train) [85][3500/3757] lr: 1.000e-04 eta: 4:11:03 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 7.8992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8152 loss: 0.8152 2022/06/29 01:37:52 - mmengine - INFO - Epoch(train) [85][3520/3757] lr: 1.000e-04 eta: 4:10:57 time: 0.578 data_time: 0.014 memory: 5150 grad_norm: 7.5332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6888 loss: 1.6888 2022/06/29 01:37:57 - mmengine - INFO - Epoch(train) [85][3540/3757] lr: 1.000e-04 eta: 4:10:52 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.3152 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3214 loss: 1.3214 2022/06/29 01:38:03 - mmengine - INFO - Epoch(train) [85][3560/3757] lr: 1.000e-04 eta: 4:10:47 time: 0.222 data_time: 0.023 memory: 5150 grad_norm: 8.1507 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3858 loss: 1.3858 2022/06/29 01:38:08 - mmengine - INFO - Epoch(train) [85][3580/3757] lr: 1.000e-04 eta: 4:10:41 time: 0.996 data_time: 0.010 memory: 5150 grad_norm: 8.1832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2701 loss: 1.2701 2022/06/29 01:38:13 - mmengine - INFO - Epoch(train) [85][3600/3757] lr: 1.000e-04 eta: 4:10:36 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.8839 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2590 loss: 1.2590 2022/06/29 01:38:19 - mmengine - INFO - Epoch(train) [85][3620/3757] lr: 1.000e-04 eta: 4:10:31 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 7.8630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0147 loss: 1.0147 2022/06/29 01:38:24 - mmengine - INFO - Epoch(train) [85][3640/3757] lr: 1.000e-04 eta: 4:10:25 time: 0.507 data_time: 0.013 memory: 5150 grad_norm: 8.8586 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/06/29 01:38:29 - mmengine - INFO - Epoch(train) [85][3660/3757] lr: 1.000e-04 eta: 4:10:20 time: 0.214 data_time: 0.017 memory: 5150 grad_norm: 10.5938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5523 loss: 1.5523 2022/06/29 01:38:35 - mmengine - INFO - Epoch(train) [85][3680/3757] lr: 1.000e-04 eta: 4:10:15 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 9.0902 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0107 loss: 1.0107 2022/06/29 01:38:40 - mmengine - INFO - Epoch(train) [85][3700/3757] lr: 1.000e-04 eta: 4:10:09 time: 0.791 data_time: 0.011 memory: 5150 grad_norm: 10.0643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3104 loss: 1.3104 2022/06/29 01:38:45 - mmengine - INFO - Epoch(train) [85][3720/3757] lr: 1.000e-04 eta: 4:10:04 time: 0.211 data_time: 0.019 memory: 5150 grad_norm: 9.2850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/06/29 01:38:51 - mmengine - INFO - Epoch(train) [85][3740/3757] lr: 1.000e-04 eta: 4:09:59 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 10.0930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0680 loss: 1.0680 2022/06/29 01:38:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:38:54 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/06/29 01:39:29 - mmengine - INFO - Epoch(val) [85][20/310] eta: 0:05:32 time: 0.962 data_time: 0.338 memory: 9746 2022/06/29 01:39:51 - mmengine - INFO - Epoch(val) [85][40/310] eta: 0:04:43 time: 1.056 data_time: 0.404 memory: 9746 2022/06/29 01:40:15 - mmengine - INFO - Epoch(val) [85][60/310] eta: 0:04:21 time: 1.175 data_time: 0.491 memory: 9746 2022/06/29 01:40:38 - mmengine - INFO - Epoch(val) [85][80/310] eta: 0:04:58 time: 1.144 data_time: 0.490 memory: 9746 2022/06/29 01:41:02 - mmengine - INFO - Epoch(val) [85][100/310] eta: 0:04:09 time: 2.199 data_time: 1.518 memory: 9746 2022/06/29 01:41:23 - mmengine - INFO - Epoch(val) [85][120/310] eta: 0:03:20 time: 1.051 data_time: 0.392 memory: 9746 2022/06/29 01:41:48 - mmengine - INFO - Epoch(val) [85][140/310] eta: 0:03:20 time: 1.102 data_time: 0.463 memory: 9746 2022/06/29 01:42:13 - mmengine - INFO - Epoch(val) [85][160/310] eta: 0:03:14 time: 3.241 data_time: 2.546 memory: 9746 2022/06/29 01:42:36 - mmengine - INFO - Epoch(val) [85][180/310] eta: 0:02:46 time: 0.912 data_time: 0.262 memory: 9746 2022/06/29 01:42:58 - mmengine - INFO - Epoch(val) [85][200/310] eta: 0:02:02 time: 1.037 data_time: 0.375 memory: 9746 2022/06/29 01:43:20 - mmengine - INFO - Epoch(val) [85][220/310] eta: 0:01:37 time: 1.090 data_time: 0.422 memory: 9746 2022/06/29 01:43:42 - mmengine - INFO - Epoch(val) [85][240/310] eta: 0:01:18 time: 1.096 data_time: 0.464 memory: 9746 2022/06/29 01:44:05 - mmengine - INFO - Epoch(val) [85][260/310] eta: 0:01:00 time: 1.176 data_time: 0.421 memory: 9746 2022/06/29 01:44:28 - mmengine - INFO - Epoch(val) [85][280/310] eta: 0:00:32 time: 1.002 data_time: 0.355 memory: 9746 2022/06/29 01:44:46 - mmengine - INFO - Epoch(val) [85][300/310] eta: 0:00:07 time: 0.673 data_time: 0.104 memory: 9746 2022/06/29 01:44:58 - mmengine - INFO - Epoch(val) [85][310/310] acc/top1: 0.7199 acc/top5: 0.9053 acc/mean1: 0.7198 2022/06/29 01:45:06 - mmengine - INFO - Epoch(train) [86][20/3757] lr: 1.000e-04 eta: 4:09:49 time: 0.208 data_time: 0.008 memory: 9746 grad_norm: 7.9411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/06/29 01:45:12 - mmengine - INFO - Epoch(train) [86][40/3757] lr: 1.000e-04 eta: 4:09:44 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 8.7469 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1490 loss: 1.1490 2022/06/29 01:45:18 - mmengine - INFO - Epoch(train) [86][60/3757] lr: 1.000e-04 eta: 4:09:39 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 9.9998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1427 loss: 1.1427 2022/06/29 01:45:22 - mmengine - INFO - Epoch(train) [86][80/3757] lr: 1.000e-04 eta: 4:09:33 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.9428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0894 loss: 1.0894 2022/06/29 01:45:28 - mmengine - INFO - Epoch(train) [86][100/3757] lr: 1.000e-04 eta: 4:09:28 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 10.0804 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0672 loss: 1.0672 2022/06/29 01:45:33 - mmengine - INFO - Epoch(train) [86][120/3757] lr: 1.000e-04 eta: 4:09:22 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.5072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/06/29 01:45:38 - mmengine - INFO - Epoch(train) [86][140/3757] lr: 1.000e-04 eta: 4:09:17 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 9.2864 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9458 loss: 0.9458 2022/06/29 01:45:44 - mmengine - INFO - Epoch(train) [86][160/3757] lr: 1.000e-04 eta: 4:09:12 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 10.3132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/06/29 01:45:49 - mmengine - INFO - Epoch(train) [86][180/3757] lr: 1.000e-04 eta: 4:09:06 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 7.6570 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/06/29 01:45:54 - mmengine - INFO - Epoch(train) [86][200/3757] lr: 1.000e-04 eta: 4:09:01 time: 0.364 data_time: 0.011 memory: 5150 grad_norm: 9.3375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1993 loss: 1.1993 2022/06/29 01:46:00 - mmengine - INFO - Epoch(train) [86][220/3757] lr: 1.000e-04 eta: 4:08:56 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 9.0513 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3209 loss: 1.3209 2022/06/29 01:46:05 - mmengine - INFO - Epoch(train) [86][240/3757] lr: 1.000e-04 eta: 4:08:51 time: 0.368 data_time: 0.007 memory: 5150 grad_norm: 8.5841 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2602 loss: 1.2602 2022/06/29 01:46:11 - mmengine - INFO - Epoch(train) [86][260/3757] lr: 1.000e-04 eta: 4:08:45 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 9.0571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9478 loss: 0.9478 2022/06/29 01:46:16 - mmengine - INFO - Epoch(train) [86][280/3757] lr: 1.000e-04 eta: 4:08:40 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 10.1759 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0660 loss: 1.0660 2022/06/29 01:46:21 - mmengine - INFO - Epoch(train) [86][300/3757] lr: 1.000e-04 eta: 4:08:35 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.1360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2036 loss: 1.2036 2022/06/29 01:46:27 - mmengine - INFO - Epoch(train) [86][320/3757] lr: 1.000e-04 eta: 4:08:29 time: 0.775 data_time: 0.007 memory: 5150 grad_norm: 8.7036 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2637 loss: 1.2637 2022/06/29 01:46:32 - mmengine - INFO - Epoch(train) [86][340/3757] lr: 1.000e-04 eta: 4:08:24 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.6723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3230 loss: 1.3230 2022/06/29 01:46:37 - mmengine - INFO - Epoch(train) [86][360/3757] lr: 1.000e-04 eta: 4:08:19 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.2369 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1792 loss: 1.1792 2022/06/29 01:46:43 - mmengine - INFO - Epoch(train) [86][380/3757] lr: 1.000e-04 eta: 4:08:13 time: 0.398 data_time: 0.008 memory: 5150 grad_norm: 7.7008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/06/29 01:46:48 - mmengine - INFO - Epoch(train) [86][400/3757] lr: 1.000e-04 eta: 4:08:08 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.3345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/06/29 01:46:54 - mmengine - INFO - Epoch(train) [86][420/3757] lr: 1.000e-04 eta: 4:08:03 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.4239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2842 loss: 1.2842 2022/06/29 01:46:59 - mmengine - INFO - Epoch(train) [86][440/3757] lr: 1.000e-04 eta: 4:07:57 time: 0.735 data_time: 0.013 memory: 5150 grad_norm: 7.3668 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9659 loss: 0.9659 2022/06/29 01:47:04 - mmengine - INFO - Epoch(train) [86][460/3757] lr: 1.000e-04 eta: 4:07:52 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 11.0764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0282 loss: 1.0282 2022/06/29 01:47:09 - mmengine - INFO - Epoch(train) [86][480/3757] lr: 1.000e-04 eta: 4:07:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.8729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3398 loss: 1.3398 2022/06/29 01:47:15 - mmengine - INFO - Epoch(train) [86][500/3757] lr: 1.000e-04 eta: 4:07:41 time: 0.387 data_time: 0.010 memory: 5150 grad_norm: 9.1061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3455 loss: 1.3455 2022/06/29 01:47:20 - mmengine - INFO - Epoch(train) [86][520/3757] lr: 1.000e-04 eta: 4:07:36 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.2154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/06/29 01:47:25 - mmengine - INFO - Epoch(train) [86][540/3757] lr: 1.000e-04 eta: 4:07:31 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.7234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6382 loss: 0.6382 2022/06/29 01:47:30 - mmengine - INFO - Epoch(train) [86][560/3757] lr: 1.000e-04 eta: 4:07:25 time: 0.245 data_time: 0.008 memory: 5150 grad_norm: 9.5654 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2143 loss: 1.2143 2022/06/29 01:47:36 - mmengine - INFO - Epoch(train) [86][580/3757] lr: 1.000e-04 eta: 4:07:20 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5413 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2338 loss: 1.2338 2022/06/29 01:47:41 - mmengine - INFO - Epoch(train) [86][600/3757] lr: 1.000e-04 eta: 4:07:15 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.0760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3994 loss: 1.3994 2022/06/29 01:47:47 - mmengine - INFO - Epoch(train) [86][620/3757] lr: 1.000e-04 eta: 4:07:09 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.1294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/06/29 01:47:52 - mmengine - INFO - Epoch(train) [86][640/3757] lr: 1.000e-04 eta: 4:07:04 time: 0.212 data_time: 0.017 memory: 5150 grad_norm: 8.9955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1622 loss: 1.1622 2022/06/29 01:47:56 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:47:58 - mmengine - INFO - Epoch(train) [86][660/3757] lr: 1.000e-04 eta: 4:06:59 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 9.1088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0313 loss: 1.0313 2022/06/29 01:48:03 - mmengine - INFO - Epoch(train) [86][680/3757] lr: 1.000e-04 eta: 4:06:54 time: 0.517 data_time: 0.008 memory: 5150 grad_norm: 8.8766 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2247 loss: 1.2247 2022/06/29 01:48:09 - mmengine - INFO - Epoch(train) [86][700/3757] lr: 1.000e-04 eta: 4:06:48 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 7.5590 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9281 loss: 0.9281 2022/06/29 01:48:14 - mmengine - INFO - Epoch(train) [86][720/3757] lr: 1.000e-04 eta: 4:06:43 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.6990 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9034 loss: 0.9034 2022/06/29 01:48:19 - mmengine - INFO - Epoch(train) [86][740/3757] lr: 1.000e-04 eta: 4:06:38 time: 0.663 data_time: 0.008 memory: 5150 grad_norm: 9.7882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2034 loss: 1.2034 2022/06/29 01:48:24 - mmengine - INFO - Epoch(train) [86][760/3757] lr: 1.000e-04 eta: 4:06:32 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.7932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2982 loss: 1.2982 2022/06/29 01:48:30 - mmengine - INFO - Epoch(train) [86][780/3757] lr: 1.000e-04 eta: 4:06:27 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 6.4147 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2786 loss: 1.2786 2022/06/29 01:48:35 - mmengine - INFO - Epoch(train) [86][800/3757] lr: 1.000e-04 eta: 4:06:22 time: 0.498 data_time: 0.012 memory: 5150 grad_norm: 7.6158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1565 loss: 1.1565 2022/06/29 01:48:40 - mmengine - INFO - Epoch(train) [86][820/3757] lr: 1.000e-04 eta: 4:06:16 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.0571 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1823 loss: 1.1823 2022/06/29 01:48:46 - mmengine - INFO - Epoch(train) [86][840/3757] lr: 1.000e-04 eta: 4:06:11 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 9.3014 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/06/29 01:48:51 - mmengine - INFO - Epoch(train) [86][860/3757] lr: 1.000e-04 eta: 4:06:06 time: 0.441 data_time: 0.007 memory: 5150 grad_norm: 9.2908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/06/29 01:48:56 - mmengine - INFO - Epoch(train) [86][880/3757] lr: 1.000e-04 eta: 4:06:00 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 11.1096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1830 loss: 1.1830 2022/06/29 01:49:01 - mmengine - INFO - Epoch(train) [86][900/3757] lr: 1.000e-04 eta: 4:05:55 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.2745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2026 loss: 1.2026 2022/06/29 01:49:07 - mmengine - INFO - Epoch(train) [86][920/3757] lr: 1.000e-04 eta: 4:05:50 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 10.2291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0394 loss: 1.0394 2022/06/29 01:49:13 - mmengine - INFO - Epoch(train) [86][940/3757] lr: 1.000e-04 eta: 4:05:44 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.1950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4904 loss: 1.4904 2022/06/29 01:49:18 - mmengine - INFO - Epoch(train) [86][960/3757] lr: 1.000e-04 eta: 4:05:39 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.9471 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4179 loss: 1.4179 2022/06/29 01:49:23 - mmengine - INFO - Epoch(train) [86][980/3757] lr: 1.000e-04 eta: 4:05:34 time: 0.231 data_time: 0.054 memory: 5150 grad_norm: 9.1265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1315 loss: 1.1315 2022/06/29 01:49:29 - mmengine - INFO - Epoch(train) [86][1000/3757] lr: 1.000e-04 eta: 4:05:28 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 10.2408 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2511 loss: 1.2511 2022/06/29 01:49:34 - mmengine - INFO - Epoch(train) [86][1020/3757] lr: 1.000e-04 eta: 4:05:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1108 loss: 1.1108 2022/06/29 01:49:39 - mmengine - INFO - Epoch(train) [86][1040/3757] lr: 1.000e-04 eta: 4:05:18 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 9.1078 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3214 loss: 1.3214 2022/06/29 01:49:44 - mmengine - INFO - Epoch(train) [86][1060/3757] lr: 1.000e-04 eta: 4:05:12 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.7690 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/06/29 01:49:49 - mmengine - INFO - Epoch(train) [86][1080/3757] lr: 1.000e-04 eta: 4:05:07 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.5771 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7885 loss: 0.7885 2022/06/29 01:49:55 - mmengine - INFO - Epoch(train) [86][1100/3757] lr: 1.000e-04 eta: 4:05:02 time: 0.213 data_time: 0.019 memory: 5150 grad_norm: 8.1526 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3172 loss: 1.3172 2022/06/29 01:50:00 - mmengine - INFO - Epoch(train) [86][1120/3757] lr: 1.000e-04 eta: 4:04:56 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 10.0505 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2000 loss: 1.2000 2022/06/29 01:50:06 - mmengine - INFO - Epoch(train) [86][1140/3757] lr: 1.000e-04 eta: 4:04:51 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 9.5782 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2237 loss: 1.2237 2022/06/29 01:50:12 - mmengine - INFO - Epoch(train) [86][1160/3757] lr: 1.000e-04 eta: 4:04:46 time: 0.208 data_time: 0.021 memory: 5150 grad_norm: 8.6577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/06/29 01:50:17 - mmengine - INFO - Epoch(train) [86][1180/3757] lr: 1.000e-04 eta: 4:04:41 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.9138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8988 loss: 0.8988 2022/06/29 01:50:22 - mmengine - INFO - Epoch(train) [86][1200/3757] lr: 1.000e-04 eta: 4:04:35 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.2959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2722 loss: 1.2722 2022/06/29 01:50:28 - mmengine - INFO - Epoch(train) [86][1220/3757] lr: 1.000e-04 eta: 4:04:30 time: 0.211 data_time: 0.024 memory: 5150 grad_norm: 9.4855 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/06/29 01:50:33 - mmengine - INFO - Epoch(train) [86][1240/3757] lr: 1.000e-04 eta: 4:04:25 time: 0.221 data_time: 0.010 memory: 5150 grad_norm: 7.6505 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9003 loss: 0.9003 2022/06/29 01:50:38 - mmengine - INFO - Epoch(train) [86][1260/3757] lr: 1.000e-04 eta: 4:04:19 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.9292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/06/29 01:50:43 - mmengine - INFO - Epoch(train) [86][1280/3757] lr: 1.000e-04 eta: 4:04:14 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 10.7373 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/06/29 01:50:48 - mmengine - INFO - Epoch(train) [86][1300/3757] lr: 1.000e-04 eta: 4:04:08 time: 0.235 data_time: 0.011 memory: 5150 grad_norm: 8.6771 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4881 loss: 1.4881 2022/06/29 01:50:54 - mmengine - INFO - Epoch(train) [86][1320/3757] lr: 1.000e-04 eta: 4:04:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7219 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2615 loss: 1.2615 2022/06/29 01:50:59 - mmengine - INFO - Epoch(train) [86][1340/3757] lr: 1.000e-04 eta: 4:03:58 time: 0.214 data_time: 0.017 memory: 5150 grad_norm: 8.8492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/06/29 01:51:04 - mmengine - INFO - Epoch(train) [86][1360/3757] lr: 1.000e-04 eta: 4:03:53 time: 0.225 data_time: 0.014 memory: 5150 grad_norm: 8.3149 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1588 loss: 1.1588 2022/06/29 01:51:10 - mmengine - INFO - Epoch(train) [86][1380/3757] lr: 1.000e-04 eta: 4:03:47 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 11.2751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/06/29 01:51:15 - mmengine - INFO - Epoch(train) [86][1400/3757] lr: 1.000e-04 eta: 4:03:42 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.3438 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/06/29 01:51:20 - mmengine - INFO - Epoch(train) [86][1420/3757] lr: 1.000e-04 eta: 4:03:37 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 7.2676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2322 loss: 1.2322 2022/06/29 01:51:26 - mmengine - INFO - Epoch(train) [86][1440/3757] lr: 1.000e-04 eta: 4:03:31 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.5087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9812 loss: 0.9812 2022/06/29 01:51:31 - mmengine - INFO - Epoch(train) [86][1460/3757] lr: 1.000e-04 eta: 4:03:26 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 8.9570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9192 loss: 0.9192 2022/06/29 01:51:37 - mmengine - INFO - Epoch(train) [86][1480/3757] lr: 1.000e-04 eta: 4:03:21 time: 0.216 data_time: 0.019 memory: 5150 grad_norm: 9.2268 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9175 loss: 0.9175 2022/06/29 01:51:42 - mmengine - INFO - Epoch(train) [86][1500/3757] lr: 1.000e-04 eta: 4:03:15 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 10.2426 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/06/29 01:51:48 - mmengine - INFO - Epoch(train) [86][1520/3757] lr: 1.000e-04 eta: 4:03:10 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.9366 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4157 loss: 1.4157 2022/06/29 01:51:53 - mmengine - INFO - Epoch(train) [86][1540/3757] lr: 1.000e-04 eta: 4:03:05 time: 0.219 data_time: 0.014 memory: 5150 grad_norm: 8.9547 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0062 loss: 1.0062 2022/06/29 01:51:58 - mmengine - INFO - Epoch(train) [86][1560/3757] lr: 1.000e-04 eta: 4:02:59 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 9.9088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/06/29 01:52:03 - mmengine - INFO - Epoch(train) [86][1580/3757] lr: 1.000e-04 eta: 4:02:54 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 9.3200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1687 loss: 1.1687 2022/06/29 01:52:08 - mmengine - INFO - Epoch(train) [86][1600/3757] lr: 1.000e-04 eta: 4:02:49 time: 0.216 data_time: 0.019 memory: 5150 grad_norm: 8.4107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1346 loss: 1.1346 2022/06/29 01:52:14 - mmengine - INFO - Epoch(train) [86][1620/3757] lr: 1.000e-04 eta: 4:02:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.9877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1754 loss: 1.1754 2022/06/29 01:52:19 - mmengine - INFO - Epoch(train) [86][1640/3757] lr: 1.000e-04 eta: 4:02:38 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.7225 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2998 loss: 1.2998 2022/06/29 01:52:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:52:24 - mmengine - INFO - Epoch(train) [86][1660/3757] lr: 1.000e-04 eta: 4:02:33 time: 0.209 data_time: 0.031 memory: 5150 grad_norm: 9.5275 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0125 loss: 1.0125 2022/06/29 01:52:30 - mmengine - INFO - Epoch(train) [86][1680/3757] lr: 1.000e-04 eta: 4:02:27 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 8.5815 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3337 loss: 1.3337 2022/06/29 01:52:36 - mmengine - INFO - Epoch(train) [86][1700/3757] lr: 1.000e-04 eta: 4:02:22 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.5644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9895 loss: 0.9895 2022/06/29 01:52:41 - mmengine - INFO - Epoch(train) [86][1720/3757] lr: 1.000e-04 eta: 4:02:17 time: 0.204 data_time: 0.027 memory: 5150 grad_norm: 9.2291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4670 loss: 1.4670 2022/06/29 01:52:46 - mmengine - INFO - Epoch(train) [86][1740/3757] lr: 1.000e-04 eta: 4:02:11 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 8.5442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/06/29 01:52:52 - mmengine - INFO - Epoch(train) [86][1760/3757] lr: 1.000e-04 eta: 4:02:06 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.5804 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1804 loss: 1.1804 2022/06/29 01:52:57 - mmengine - INFO - Epoch(train) [86][1780/3757] lr: 1.000e-04 eta: 4:02:01 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 9.7667 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1445 loss: 1.1445 2022/06/29 01:53:03 - mmengine - INFO - Epoch(train) [86][1800/3757] lr: 1.000e-04 eta: 4:01:56 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4292 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/06/29 01:53:08 - mmengine - INFO - Epoch(train) [86][1820/3757] lr: 1.000e-04 eta: 4:01:50 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 8.6191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8843 loss: 0.8843 2022/06/29 01:53:13 - mmengine - INFO - Epoch(train) [86][1840/3757] lr: 1.000e-04 eta: 4:01:45 time: 0.211 data_time: 0.019 memory: 5150 grad_norm: 7.9333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/06/29 01:53:18 - mmengine - INFO - Epoch(train) [86][1860/3757] lr: 1.000e-04 eta: 4:01:40 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.7528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2648 loss: 1.2648 2022/06/29 01:53:24 - mmengine - INFO - Epoch(train) [86][1880/3757] lr: 1.000e-04 eta: 4:01:34 time: 0.216 data_time: 0.027 memory: 5150 grad_norm: 8.0813 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0250 loss: 1.0250 2022/06/29 01:53:29 - mmengine - INFO - Epoch(train) [86][1900/3757] lr: 1.000e-04 eta: 4:01:29 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.3602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3657 loss: 1.3657 2022/06/29 01:53:34 - mmengine - INFO - Epoch(train) [86][1920/3757] lr: 1.000e-04 eta: 4:01:24 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 6.9154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/06/29 01:53:39 - mmengine - INFO - Epoch(train) [86][1940/3757] lr: 1.000e-04 eta: 4:01:18 time: 0.231 data_time: 0.050 memory: 5150 grad_norm: 8.3710 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/06/29 01:53:44 - mmengine - INFO - Epoch(train) [86][1960/3757] lr: 1.000e-04 eta: 4:01:13 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 8.9820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/06/29 01:53:49 - mmengine - INFO - Epoch(train) [86][1980/3757] lr: 1.000e-04 eta: 4:01:07 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 7.6886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0059 loss: 1.0059 2022/06/29 01:53:55 - mmengine - INFO - Epoch(train) [86][2000/3757] lr: 1.000e-04 eta: 4:01:02 time: 0.213 data_time: 0.042 memory: 5150 grad_norm: 9.4466 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0475 loss: 1.0475 2022/06/29 01:54:00 - mmengine - INFO - Epoch(train) [86][2020/3757] lr: 1.000e-04 eta: 4:00:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.2368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9562 loss: 0.9562 2022/06/29 01:54:06 - mmengine - INFO - Epoch(train) [86][2040/3757] lr: 1.000e-04 eta: 4:00:52 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.4793 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1906 loss: 1.1906 2022/06/29 01:54:12 - mmengine - INFO - Epoch(train) [86][2060/3757] lr: 1.000e-04 eta: 4:00:46 time: 0.210 data_time: 0.036 memory: 5150 grad_norm: 9.3368 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0088 loss: 1.0088 2022/06/29 01:54:16 - mmengine - INFO - Epoch(train) [86][2080/3757] lr: 1.000e-04 eta: 4:00:41 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 7.7072 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1771 loss: 1.1771 2022/06/29 01:54:22 - mmengine - INFO - Epoch(train) [86][2100/3757] lr: 1.000e-04 eta: 4:00:36 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 9.1278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3880 loss: 1.3880 2022/06/29 01:54:28 - mmengine - INFO - Epoch(train) [86][2120/3757] lr: 1.000e-04 eta: 4:00:30 time: 0.208 data_time: 0.023 memory: 5150 grad_norm: 8.3206 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/06/29 01:54:33 - mmengine - INFO - Epoch(train) [86][2140/3757] lr: 1.000e-04 eta: 4:00:25 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.5168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/06/29 01:54:38 - mmengine - INFO - Epoch(train) [86][2160/3757] lr: 1.000e-04 eta: 4:00:20 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.1574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3008 loss: 1.3008 2022/06/29 01:54:44 - mmengine - INFO - Epoch(train) [86][2180/3757] lr: 1.000e-04 eta: 4:00:14 time: 0.210 data_time: 0.023 memory: 5150 grad_norm: 9.2986 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/06/29 01:54:49 - mmengine - INFO - Epoch(train) [86][2200/3757] lr: 1.000e-04 eta: 4:00:09 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 8.8051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9369 loss: 0.9369 2022/06/29 01:54:54 - mmengine - INFO - Epoch(train) [86][2220/3757] lr: 1.000e-04 eta: 4:00:04 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.1755 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1577 loss: 1.1577 2022/06/29 01:55:00 - mmengine - INFO - Epoch(train) [86][2240/3757] lr: 1.000e-04 eta: 3:59:59 time: 0.208 data_time: 0.028 memory: 5150 grad_norm: 7.8522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4022 loss: 1.4022 2022/06/29 01:55:05 - mmengine - INFO - Epoch(train) [86][2260/3757] lr: 1.000e-04 eta: 3:59:53 time: 0.230 data_time: 0.010 memory: 5150 grad_norm: 9.8312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/06/29 01:55:10 - mmengine - INFO - Epoch(train) [86][2280/3757] lr: 1.000e-04 eta: 3:59:48 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 7.6864 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9837 loss: 0.9837 2022/06/29 01:55:16 - mmengine - INFO - Epoch(train) [86][2300/3757] lr: 1.000e-04 eta: 3:59:43 time: 0.223 data_time: 0.024 memory: 5150 grad_norm: 8.8063 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1349 loss: 1.1349 2022/06/29 01:55:20 - mmengine - INFO - Epoch(train) [86][2320/3757] lr: 1.000e-04 eta: 3:59:37 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 9.3596 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7601 loss: 1.7601 2022/06/29 01:55:26 - mmengine - INFO - Epoch(train) [86][2340/3757] lr: 1.000e-04 eta: 3:59:32 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 9.1113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3205 loss: 1.3205 2022/06/29 01:55:32 - mmengine - INFO - Epoch(train) [86][2360/3757] lr: 1.000e-04 eta: 3:59:27 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.7951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2702 loss: 1.2702 2022/06/29 01:55:37 - mmengine - INFO - Epoch(train) [86][2380/3757] lr: 1.000e-04 eta: 3:59:21 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 9.2990 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1692 loss: 1.1692 2022/06/29 01:55:42 - mmengine - INFO - Epoch(train) [86][2400/3757] lr: 1.000e-04 eta: 3:59:16 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 8.8658 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/06/29 01:55:48 - mmengine - INFO - Epoch(train) [86][2420/3757] lr: 1.000e-04 eta: 3:59:11 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.9394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/06/29 01:55:52 - mmengine - INFO - Epoch(train) [86][2440/3757] lr: 1.000e-04 eta: 3:59:05 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 10.6859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2852 loss: 1.2852 2022/06/29 01:55:58 - mmengine - INFO - Epoch(train) [86][2460/3757] lr: 1.000e-04 eta: 3:59:00 time: 0.209 data_time: 0.020 memory: 5150 grad_norm: 9.4129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2206 loss: 1.2206 2022/06/29 01:56:03 - mmengine - INFO - Epoch(train) [86][2480/3757] lr: 1.000e-04 eta: 3:58:55 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.1758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9854 loss: 0.9854 2022/06/29 01:56:09 - mmengine - INFO - Epoch(train) [86][2500/3757] lr: 1.000e-04 eta: 3:58:49 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.3262 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0588 loss: 1.0588 2022/06/29 01:56:14 - mmengine - INFO - Epoch(train) [86][2520/3757] lr: 1.000e-04 eta: 3:58:44 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 10.7784 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9975 loss: 0.9975 2022/06/29 01:56:20 - mmengine - INFO - Epoch(train) [86][2540/3757] lr: 1.000e-04 eta: 3:58:39 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.1956 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3052 loss: 1.3052 2022/06/29 01:56:24 - mmengine - INFO - Epoch(train) [86][2560/3757] lr: 1.000e-04 eta: 3:58:33 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.7124 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1444 loss: 1.1444 2022/06/29 01:56:30 - mmengine - INFO - Epoch(train) [86][2580/3757] lr: 1.000e-04 eta: 3:58:28 time: 0.207 data_time: 0.016 memory: 5150 grad_norm: 9.6156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8151 loss: 0.8151 2022/06/29 01:56:35 - mmengine - INFO - Epoch(train) [86][2600/3757] lr: 1.000e-04 eta: 3:58:23 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 7.7537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0047 loss: 1.0047 2022/06/29 01:56:40 - mmengine - INFO - Epoch(train) [86][2620/3757] lr: 1.000e-04 eta: 3:58:17 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 6.6160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2443 loss: 1.2443 2022/06/29 01:56:45 - mmengine - INFO - Epoch(train) [86][2640/3757] lr: 1.000e-04 eta: 3:58:12 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.5052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9779 loss: 0.9779 2022/06/29 01:56:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 01:56:50 - mmengine - INFO - Epoch(train) [86][2660/3757] lr: 1.000e-04 eta: 3:58:06 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.2722 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2084 loss: 1.2084 2022/06/29 01:56:56 - mmengine - INFO - Epoch(train) [86][2680/3757] lr: 1.000e-04 eta: 3:58:01 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 9.2991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/06/29 01:57:01 - mmengine - INFO - Epoch(train) [86][2700/3757] lr: 1.000e-04 eta: 3:57:56 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.3878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4101 loss: 1.4101 2022/06/29 01:57:07 - mmengine - INFO - Epoch(train) [86][2720/3757] lr: 1.000e-04 eta: 3:57:51 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 10.4121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/06/29 01:57:12 - mmengine - INFO - Epoch(train) [86][2740/3757] lr: 1.000e-04 eta: 3:57:45 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.7868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1189 loss: 1.1189 2022/06/29 01:57:17 - mmengine - INFO - Epoch(train) [86][2760/3757] lr: 1.000e-04 eta: 3:57:40 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.9065 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1830 loss: 1.1830 2022/06/29 01:57:23 - mmengine - INFO - Epoch(train) [86][2780/3757] lr: 1.000e-04 eta: 3:57:35 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.9377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3990 loss: 1.3990 2022/06/29 01:57:28 - mmengine - INFO - Epoch(train) [86][2800/3757] lr: 1.000e-04 eta: 3:57:29 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.2180 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1853 loss: 1.1853 2022/06/29 01:57:33 - mmengine - INFO - Epoch(train) [86][2820/3757] lr: 1.000e-04 eta: 3:57:24 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5432 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9019 loss: 0.9019 2022/06/29 01:57:39 - mmengine - INFO - Epoch(train) [86][2840/3757] lr: 1.000e-04 eta: 3:57:19 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.6590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6935 loss: 1.6935 2022/06/29 01:57:44 - mmengine - INFO - Epoch(train) [86][2860/3757] lr: 1.000e-04 eta: 3:57:13 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 9.5419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1563 loss: 1.1563 2022/06/29 01:57:49 - mmengine - INFO - Epoch(train) [86][2880/3757] lr: 1.000e-04 eta: 3:57:08 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.9054 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1199 loss: 1.1199 2022/06/29 01:57:55 - mmengine - INFO - Epoch(train) [86][2900/3757] lr: 1.000e-04 eta: 3:57:03 time: 0.243 data_time: 0.008 memory: 5150 grad_norm: 10.4294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2495 loss: 1.2495 2022/06/29 01:58:00 - mmengine - INFO - Epoch(train) [86][2920/3757] lr: 1.000e-04 eta: 3:56:57 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 7.7003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/06/29 01:58:06 - mmengine - INFO - Epoch(train) [86][2940/3757] lr: 1.000e-04 eta: 3:56:52 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.3131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9598 loss: 0.9598 2022/06/29 01:58:11 - mmengine - INFO - Epoch(train) [86][2960/3757] lr: 1.000e-04 eta: 3:56:47 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.6712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/06/29 01:58:17 - mmengine - INFO - Epoch(train) [86][2980/3757] lr: 1.000e-04 eta: 3:56:41 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.2792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9102 loss: 0.9102 2022/06/29 01:58:22 - mmengine - INFO - Epoch(train) [86][3000/3757] lr: 1.000e-04 eta: 3:56:36 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.7932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1307 loss: 1.1307 2022/06/29 01:58:27 - mmengine - INFO - Epoch(train) [86][3020/3757] lr: 1.000e-04 eta: 3:56:31 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.0404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3953 loss: 1.3953 2022/06/29 01:58:32 - mmengine - INFO - Epoch(train) [86][3040/3757] lr: 1.000e-04 eta: 3:56:25 time: 0.221 data_time: 0.017 memory: 5150 grad_norm: 8.8691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1851 loss: 1.1851 2022/06/29 01:58:38 - mmengine - INFO - Epoch(train) [86][3060/3757] lr: 1.000e-04 eta: 3:56:20 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.0258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3466 loss: 1.3466 2022/06/29 01:58:43 - mmengine - INFO - Epoch(train) [86][3080/3757] lr: 1.000e-04 eta: 3:56:15 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9856 loss: 0.9856 2022/06/29 01:58:49 - mmengine - INFO - Epoch(train) [86][3100/3757] lr: 1.000e-04 eta: 3:56:10 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 10.1836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2527 loss: 1.2527 2022/06/29 01:58:55 - mmengine - INFO - Epoch(train) [86][3120/3757] lr: 1.000e-04 eta: 3:56:04 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.5129 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/06/29 01:58:59 - mmengine - INFO - Epoch(train) [86][3140/3757] lr: 1.000e-04 eta: 3:55:59 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.5538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/06/29 01:59:05 - mmengine - INFO - Epoch(train) [86][3160/3757] lr: 1.000e-04 eta: 3:55:54 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.8095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5826 loss: 1.5826 2022/06/29 01:59:11 - mmengine - INFO - Epoch(train) [86][3180/3757] lr: 1.000e-04 eta: 3:55:48 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 9.7214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1061 loss: 1.1061 2022/06/29 01:59:15 - mmengine - INFO - Epoch(train) [86][3200/3757] lr: 1.000e-04 eta: 3:55:43 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.8740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/06/29 01:59:21 - mmengine - INFO - Epoch(train) [86][3220/3757] lr: 1.000e-04 eta: 3:55:38 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.9364 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1322 loss: 1.1322 2022/06/29 01:59:27 - mmengine - INFO - Epoch(train) [86][3240/3757] lr: 1.000e-04 eta: 3:55:32 time: 0.227 data_time: 0.015 memory: 5150 grad_norm: 10.4450 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1552 loss: 1.1552 2022/06/29 01:59:31 - mmengine - INFO - Epoch(train) [86][3260/3757] lr: 1.000e-04 eta: 3:55:27 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.7095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7858 loss: 0.7858 2022/06/29 01:59:37 - mmengine - INFO - Epoch(train) [86][3280/3757] lr: 1.000e-04 eta: 3:55:22 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.6128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/06/29 01:59:42 - mmengine - INFO - Epoch(train) [86][3300/3757] lr: 1.000e-04 eta: 3:55:16 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 8.6003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1308 loss: 1.1308 2022/06/29 01:59:47 - mmengine - INFO - Epoch(train) [86][3320/3757] lr: 1.000e-04 eta: 3:55:11 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 9.8074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3416 loss: 1.3416 2022/06/29 01:59:53 - mmengine - INFO - Epoch(train) [86][3340/3757] lr: 1.000e-04 eta: 3:55:06 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 10.0594 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0391 loss: 1.0391 2022/06/29 01:59:59 - mmengine - INFO - Epoch(train) [86][3360/3757] lr: 1.000e-04 eta: 3:55:00 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.2980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/06/29 02:00:03 - mmengine - INFO - Epoch(train) [86][3380/3757] lr: 1.000e-04 eta: 3:54:55 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.9515 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1381 loss: 1.1381 2022/06/29 02:00:11 - mmengine - INFO - Epoch(train) [86][3400/3757] lr: 1.000e-04 eta: 3:54:50 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.6669 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9594 loss: 0.9594 2022/06/29 02:00:15 - mmengine - INFO - Epoch(train) [86][3420/3757] lr: 1.000e-04 eta: 3:54:44 time: 0.207 data_time: 0.006 memory: 5150 grad_norm: 8.1902 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2212 loss: 1.2212 2022/06/29 02:00:19 - mmengine - INFO - Epoch(train) [86][3440/3757] lr: 1.000e-04 eta: 3:54:39 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 7.0646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8384 loss: 0.8384 2022/06/29 02:00:24 - mmengine - INFO - Epoch(train) [86][3460/3757] lr: 1.000e-04 eta: 3:54:34 time: 0.303 data_time: 0.018 memory: 5150 grad_norm: 9.2037 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9910 loss: 0.9910 2022/06/29 02:00:30 - mmengine - INFO - Epoch(train) [86][3480/3757] lr: 1.000e-04 eta: 3:54:28 time: 0.306 data_time: 0.007 memory: 5150 grad_norm: 7.8578 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9416 loss: 0.9416 2022/06/29 02:00:35 - mmengine - INFO - Epoch(train) [86][3500/3757] lr: 1.000e-04 eta: 3:54:23 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 9.4505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7215 loss: 1.7215 2022/06/29 02:00:41 - mmengine - INFO - Epoch(train) [86][3520/3757] lr: 1.000e-04 eta: 3:54:18 time: 0.365 data_time: 0.014 memory: 5150 grad_norm: 9.4776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4294 loss: 1.4294 2022/06/29 02:00:46 - mmengine - INFO - Epoch(train) [86][3540/3757] lr: 1.000e-04 eta: 3:54:12 time: 0.265 data_time: 0.007 memory: 5150 grad_norm: 9.8539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9873 loss: 0.9873 2022/06/29 02:00:51 - mmengine - INFO - Epoch(train) [86][3560/3757] lr: 1.000e-04 eta: 3:54:07 time: 0.443 data_time: 0.265 memory: 5150 grad_norm: 8.7668 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1971 loss: 1.1971 2022/06/29 02:00:57 - mmengine - INFO - Epoch(train) [86][3580/3757] lr: 1.000e-04 eta: 3:54:02 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 8.4675 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4330 loss: 1.4330 2022/06/29 02:01:03 - mmengine - INFO - Epoch(train) [86][3600/3757] lr: 1.000e-04 eta: 3:53:57 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 8.6594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2507 loss: 1.2507 2022/06/29 02:01:08 - mmengine - INFO - Epoch(train) [86][3620/3757] lr: 1.000e-04 eta: 3:53:51 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.6391 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9713 loss: 0.9713 2022/06/29 02:01:13 - mmengine - INFO - Epoch(train) [86][3640/3757] lr: 1.000e-04 eta: 3:53:46 time: 0.203 data_time: 0.022 memory: 5150 grad_norm: 9.9388 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.5114 loss: 1.5114 2022/06/29 02:01:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:01:19 - mmengine - INFO - Epoch(train) [86][3660/3757] lr: 1.000e-04 eta: 3:53:41 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.9303 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4462 loss: 1.4462 2022/06/29 02:01:24 - mmengine - INFO - Epoch(train) [86][3680/3757] lr: 1.000e-04 eta: 3:53:35 time: 0.204 data_time: 0.024 memory: 5150 grad_norm: 10.2899 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9117 loss: 0.9117 2022/06/29 02:01:29 - mmengine - INFO - Epoch(train) [86][3700/3757] lr: 1.000e-04 eta: 3:53:30 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 10.5960 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5265 loss: 1.5265 2022/06/29 02:01:35 - mmengine - INFO - Epoch(train) [86][3720/3757] lr: 1.000e-04 eta: 3:53:25 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.2984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7992 loss: 0.7992 2022/06/29 02:01:40 - mmengine - INFO - Epoch(train) [86][3740/3757] lr: 1.000e-04 eta: 3:53:19 time: 0.199 data_time: 0.024 memory: 5150 grad_norm: 8.5761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/06/29 02:01:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:02:16 - mmengine - INFO - Epoch(val) [86][20/310] eta: 0:05:35 time: 1.118 data_time: 0.466 memory: 9746 2022/06/29 02:02:38 - mmengine - INFO - Epoch(val) [86][40/310] eta: 0:04:53 time: 1.090 data_time: 0.441 memory: 9746 2022/06/29 02:03:01 - mmengine - INFO - Epoch(val) [86][60/310] eta: 0:04:20 time: 1.138 data_time: 0.508 memory: 9746 2022/06/29 02:03:26 - mmengine - INFO - Epoch(val) [86][80/310] eta: 0:05:18 time: 0.993 data_time: 0.327 memory: 9746 2022/06/29 02:03:49 - mmengine - INFO - Epoch(val) [86][100/310] eta: 0:04:07 time: 2.294 data_time: 1.620 memory: 9746 2022/06/29 02:04:10 - mmengine - INFO - Epoch(val) [86][120/310] eta: 0:03:14 time: 1.117 data_time: 0.485 memory: 9746 2022/06/29 02:04:35 - mmengine - INFO - Epoch(val) [86][140/310] eta: 0:03:16 time: 1.048 data_time: 0.388 memory: 9746 2022/06/29 02:04:59 - mmengine - INFO - Epoch(val) [86][160/310] eta: 0:03:14 time: 3.555 data_time: 2.869 memory: 9746 2022/06/29 02:05:22 - mmengine - INFO - Epoch(val) [86][180/310] eta: 0:02:43 time: 1.043 data_time: 0.389 memory: 9746 2022/06/29 02:05:45 - mmengine - INFO - Epoch(val) [86][200/310] eta: 0:02:14 time: 1.093 data_time: 0.441 memory: 9746 2022/06/29 02:06:07 - mmengine - INFO - Epoch(val) [86][220/310] eta: 0:01:41 time: 1.699 data_time: 0.507 memory: 9746 2022/06/29 02:06:28 - mmengine - INFO - Epoch(val) [86][240/310] eta: 0:01:10 time: 1.005 data_time: 0.379 memory: 9746 2022/06/29 02:06:51 - mmengine - INFO - Epoch(val) [86][260/310] eta: 0:01:01 time: 1.105 data_time: 0.443 memory: 9746 2022/06/29 02:07:14 - mmengine - INFO - Epoch(val) [86][280/310] eta: 0:00:34 time: 1.949 data_time: 1.300 memory: 9746 2022/06/29 02:07:33 - mmengine - INFO - Epoch(val) [86][300/310] eta: 0:00:08 time: 0.649 data_time: 0.076 memory: 9746 2022/06/29 02:07:45 - mmengine - INFO - Epoch(val) [86][310/310] acc/top1: 0.7217 acc/top5: 0.9053 acc/mean1: 0.7216 2022/06/29 02:07:54 - mmengine - INFO - Epoch(train) [87][20/3757] lr: 1.000e-04 eta: 3:53:09 time: 0.199 data_time: 0.008 memory: 9746 grad_norm: 7.9476 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1469 loss: 1.1469 2022/06/29 02:08:00 - mmengine - INFO - Epoch(train) [87][40/3757] lr: 1.000e-04 eta: 3:53:04 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.9663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9399 loss: 0.9399 2022/06/29 02:08:04 - mmengine - INFO - Epoch(train) [87][60/3757] lr: 1.000e-04 eta: 3:52:59 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.1003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/06/29 02:08:10 - mmengine - INFO - Epoch(train) [87][80/3757] lr: 1.000e-04 eta: 3:52:54 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.3611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/06/29 02:08:16 - mmengine - INFO - Epoch(train) [87][100/3757] lr: 1.000e-04 eta: 3:52:48 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.6139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2951 loss: 1.2951 2022/06/29 02:08:21 - mmengine - INFO - Epoch(train) [87][120/3757] lr: 1.000e-04 eta: 3:52:43 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.0049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1201 loss: 1.1201 2022/06/29 02:08:26 - mmengine - INFO - Epoch(train) [87][140/3757] lr: 1.000e-04 eta: 3:52:38 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.0617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2442 loss: 1.2442 2022/06/29 02:08:32 - mmengine - INFO - Epoch(train) [87][160/3757] lr: 1.000e-04 eta: 3:52:32 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5511 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4596 loss: 1.4596 2022/06/29 02:08:37 - mmengine - INFO - Epoch(train) [87][180/3757] lr: 1.000e-04 eta: 3:52:27 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 10.3730 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0526 loss: 1.0526 2022/06/29 02:08:43 - mmengine - INFO - Epoch(train) [87][200/3757] lr: 1.000e-04 eta: 3:52:22 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.0506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0856 loss: 1.0856 2022/06/29 02:08:48 - mmengine - INFO - Epoch(train) [87][220/3757] lr: 1.000e-04 eta: 3:52:16 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0928 loss: 1.0928 2022/06/29 02:08:53 - mmengine - INFO - Epoch(train) [87][240/3757] lr: 1.000e-04 eta: 3:52:11 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 9.0611 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3929 loss: 1.3929 2022/06/29 02:08:59 - mmengine - INFO - Epoch(train) [87][260/3757] lr: 1.000e-04 eta: 3:52:06 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.8326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/06/29 02:09:04 - mmengine - INFO - Epoch(train) [87][280/3757] lr: 1.000e-04 eta: 3:52:00 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.1193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/06/29 02:09:09 - mmengine - INFO - Epoch(train) [87][300/3757] lr: 1.000e-04 eta: 3:51:55 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 8.1449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1278 loss: 1.1278 2022/06/29 02:09:15 - mmengine - INFO - Epoch(train) [87][320/3757] lr: 1.000e-04 eta: 3:51:50 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.9324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3224 loss: 1.3224 2022/06/29 02:09:21 - mmengine - INFO - Epoch(train) [87][340/3757] lr: 1.000e-04 eta: 3:51:45 time: 0.215 data_time: 0.015 memory: 5150 grad_norm: 7.2969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8552 loss: 0.8552 2022/06/29 02:09:25 - mmengine - INFO - Epoch(train) [87][360/3757] lr: 1.000e-04 eta: 3:51:39 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 8.1058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9832 loss: 0.9832 2022/06/29 02:09:30 - mmengine - INFO - Epoch(train) [87][380/3757] lr: 1.000e-04 eta: 3:51:34 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 6.7286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/06/29 02:09:35 - mmengine - INFO - Epoch(train) [87][400/3757] lr: 1.000e-04 eta: 3:51:28 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.0947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8938 loss: 0.8938 2022/06/29 02:09:41 - mmengine - INFO - Epoch(train) [87][420/3757] lr: 1.000e-04 eta: 3:51:23 time: 0.218 data_time: 0.017 memory: 5150 grad_norm: 8.3224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7973 loss: 0.7973 2022/06/29 02:09:46 - mmengine - INFO - Epoch(train) [87][440/3757] lr: 1.000e-04 eta: 3:51:18 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.6070 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0424 loss: 1.0424 2022/06/29 02:09:51 - mmengine - INFO - Epoch(train) [87][460/3757] lr: 1.000e-04 eta: 3:51:12 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 9.4722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/06/29 02:09:57 - mmengine - INFO - Epoch(train) [87][480/3757] lr: 1.000e-04 eta: 3:51:07 time: 0.445 data_time: 0.009 memory: 5150 grad_norm: 10.7851 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/06/29 02:10:02 - mmengine - INFO - Epoch(train) [87][500/3757] lr: 1.000e-04 eta: 3:51:02 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 7.4783 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1874 loss: 1.1874 2022/06/29 02:10:08 - mmengine - INFO - Epoch(train) [87][520/3757] lr: 1.000e-04 eta: 3:50:57 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.8431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/06/29 02:10:13 - mmengine - INFO - Epoch(train) [87][540/3757] lr: 1.000e-04 eta: 3:50:51 time: 0.794 data_time: 0.007 memory: 5150 grad_norm: 7.8198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2213 loss: 1.2213 2022/06/29 02:10:19 - mmengine - INFO - Epoch(train) [87][560/3757] lr: 1.000e-04 eta: 3:50:46 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.2922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4459 loss: 1.4459 2022/06/29 02:10:24 - mmengine - INFO - Epoch(train) [87][580/3757] lr: 1.000e-04 eta: 3:50:41 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 10.0973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1674 loss: 1.1674 2022/06/29 02:10:29 - mmengine - INFO - Epoch(train) [87][600/3757] lr: 1.000e-04 eta: 3:50:35 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 9.4677 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/06/29 02:10:35 - mmengine - INFO - Epoch(train) [87][620/3757] lr: 1.000e-04 eta: 3:50:30 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.9150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/06/29 02:10:40 - mmengine - INFO - Epoch(train) [87][640/3757] lr: 1.000e-04 eta: 3:50:25 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.6800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2458 loss: 1.2458 2022/06/29 02:10:45 - mmengine - INFO - Epoch(train) [87][660/3757] lr: 1.000e-04 eta: 3:50:19 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.4339 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2362 loss: 1.2362 2022/06/29 02:10:50 - mmengine - INFO - Epoch(train) [87][680/3757] lr: 1.000e-04 eta: 3:50:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.6571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9491 loss: 0.9491 2022/06/29 02:10:56 - mmengine - INFO - Epoch(train) [87][700/3757] lr: 1.000e-04 eta: 3:50:09 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.1586 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1591 loss: 1.1591 2022/06/29 02:11:01 - mmengine - INFO - Epoch(train) [87][720/3757] lr: 1.000e-04 eta: 3:50:03 time: 0.240 data_time: 0.011 memory: 5150 grad_norm: 9.3180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3123 loss: 1.3123 2022/06/29 02:11:06 - mmengine - INFO - Epoch(train) [87][740/3757] lr: 1.000e-04 eta: 3:49:58 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.4618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/06/29 02:11:12 - mmengine - INFO - Epoch(train) [87][760/3757] lr: 1.000e-04 eta: 3:49:53 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 10.5058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0917 loss: 1.0917 2022/06/29 02:11:17 - mmengine - INFO - Epoch(train) [87][780/3757] lr: 1.000e-04 eta: 3:49:47 time: 0.643 data_time: 0.007 memory: 5150 grad_norm: 10.4054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2494 loss: 1.2494 2022/06/29 02:11:22 - mmengine - INFO - Epoch(train) [87][800/3757] lr: 1.000e-04 eta: 3:49:42 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 9.5046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9423 loss: 0.9423 2022/06/29 02:11:28 - mmengine - INFO - Epoch(train) [87][820/3757] lr: 1.000e-04 eta: 3:49:37 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.3381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2444 loss: 1.2444 2022/06/29 02:11:33 - mmengine - INFO - Epoch(train) [87][840/3757] lr: 1.000e-04 eta: 3:49:31 time: 0.574 data_time: 0.007 memory: 5150 grad_norm: 8.7339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/06/29 02:11:39 - mmengine - INFO - Epoch(train) [87][860/3757] lr: 1.000e-04 eta: 3:49:26 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.9298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3054 loss: 1.3054 2022/06/29 02:11:44 - mmengine - INFO - Epoch(train) [87][880/3757] lr: 1.000e-04 eta: 3:49:21 time: 0.201 data_time: 0.019 memory: 5150 grad_norm: 10.2590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0909 loss: 1.0909 2022/06/29 02:11:49 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:11:49 - mmengine - INFO - Epoch(train) [87][900/3757] lr: 1.000e-04 eta: 3:49:15 time: 0.551 data_time: 0.011 memory: 5150 grad_norm: 8.0966 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0794 loss: 1.0794 2022/06/29 02:11:54 - mmengine - INFO - Epoch(train) [87][920/3757] lr: 1.000e-04 eta: 3:49:10 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.6909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6435 loss: 0.6435 2022/06/29 02:12:00 - mmengine - INFO - Epoch(train) [87][940/3757] lr: 1.000e-04 eta: 3:49:05 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 7.8686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6474 loss: 0.6474 2022/06/29 02:12:05 - mmengine - INFO - Epoch(train) [87][960/3757] lr: 1.000e-04 eta: 3:48:59 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 9.0067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2068 loss: 1.2068 2022/06/29 02:12:10 - mmengine - INFO - Epoch(train) [87][980/3757] lr: 1.000e-04 eta: 3:48:54 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 9.2482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1826 loss: 1.1826 2022/06/29 02:12:16 - mmengine - INFO - Epoch(train) [87][1000/3757] lr: 1.000e-04 eta: 3:48:49 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.5647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1527 loss: 1.1527 2022/06/29 02:12:21 - mmengine - INFO - Epoch(train) [87][1020/3757] lr: 1.000e-04 eta: 3:48:43 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 10.8492 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2733 loss: 1.2733 2022/06/29 02:12:27 - mmengine - INFO - Epoch(train) [87][1040/3757] lr: 1.000e-04 eta: 3:48:38 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.6050 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/29 02:12:32 - mmengine - INFO - Epoch(train) [87][1060/3757] lr: 1.000e-04 eta: 3:48:33 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 8.6499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4776 loss: 1.4776 2022/06/29 02:12:37 - mmengine - INFO - Epoch(train) [87][1080/3757] lr: 1.000e-04 eta: 3:48:28 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 8.2274 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9694 loss: 0.9694 2022/06/29 02:12:42 - mmengine - INFO - Epoch(train) [87][1100/3757] lr: 1.000e-04 eta: 3:48:22 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.5859 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3038 loss: 1.3038 2022/06/29 02:12:48 - mmengine - INFO - Epoch(train) [87][1120/3757] lr: 1.000e-04 eta: 3:48:17 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 10.4021 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1738 loss: 1.1738 2022/06/29 02:12:53 - mmengine - INFO - Epoch(train) [87][1140/3757] lr: 1.000e-04 eta: 3:48:12 time: 0.300 data_time: 0.011 memory: 5150 grad_norm: 9.2550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1965 loss: 1.1965 2022/06/29 02:12:58 - mmengine - INFO - Epoch(train) [87][1160/3757] lr: 1.000e-04 eta: 3:48:06 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 10.3580 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4382 loss: 1.4382 2022/06/29 02:13:04 - mmengine - INFO - Epoch(train) [87][1180/3757] lr: 1.000e-04 eta: 3:48:01 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 7.9968 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7457 loss: 0.7457 2022/06/29 02:13:10 - mmengine - INFO - Epoch(train) [87][1200/3757] lr: 1.000e-04 eta: 3:47:56 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 9.5260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9193 loss: 0.9193 2022/06/29 02:13:15 - mmengine - INFO - Epoch(train) [87][1220/3757] lr: 1.000e-04 eta: 3:47:50 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.0868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2055 loss: 1.2055 2022/06/29 02:13:20 - mmengine - INFO - Epoch(train) [87][1240/3757] lr: 1.000e-04 eta: 3:47:45 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 9.3285 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/06/29 02:13:25 - mmengine - INFO - Epoch(train) [87][1260/3757] lr: 1.000e-04 eta: 3:47:40 time: 0.361 data_time: 0.016 memory: 5150 grad_norm: 8.9537 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0628 loss: 1.0628 2022/06/29 02:13:30 - mmengine - INFO - Epoch(train) [87][1280/3757] lr: 1.000e-04 eta: 3:47:34 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.6093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2305 loss: 1.2305 2022/06/29 02:13:37 - mmengine - INFO - Epoch(train) [87][1300/3757] lr: 1.000e-04 eta: 3:47:29 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.1735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9737 loss: 0.9737 2022/06/29 02:13:41 - mmengine - INFO - Epoch(train) [87][1320/3757] lr: 1.000e-04 eta: 3:47:24 time: 0.585 data_time: 0.008 memory: 5150 grad_norm: 9.5351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1262 loss: 1.1262 2022/06/29 02:13:46 - mmengine - INFO - Epoch(train) [87][1340/3757] lr: 1.000e-04 eta: 3:47:18 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.5916 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/06/29 02:13:52 - mmengine - INFO - Epoch(train) [87][1360/3757] lr: 1.000e-04 eta: 3:47:13 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.2367 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0345 loss: 1.0345 2022/06/29 02:13:58 - mmengine - INFO - Epoch(train) [87][1380/3757] lr: 1.000e-04 eta: 3:47:08 time: 1.364 data_time: 0.016 memory: 5150 grad_norm: 8.8054 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0041 loss: 1.0041 2022/06/29 02:14:02 - mmengine - INFO - Epoch(train) [87][1400/3757] lr: 1.000e-04 eta: 3:47:02 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 11.1735 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/06/29 02:14:08 - mmengine - INFO - Epoch(train) [87][1420/3757] lr: 1.000e-04 eta: 3:46:57 time: 0.220 data_time: 0.020 memory: 5150 grad_norm: 9.9012 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0053 loss: 1.0053 2022/06/29 02:14:13 - mmengine - INFO - Epoch(train) [87][1440/3757] lr: 1.000e-04 eta: 3:46:52 time: 0.707 data_time: 0.007 memory: 5150 grad_norm: 9.4444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/06/29 02:14:19 - mmengine - INFO - Epoch(train) [87][1460/3757] lr: 1.000e-04 eta: 3:46:46 time: 0.223 data_time: 0.010 memory: 5150 grad_norm: 7.2333 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/06/29 02:14:24 - mmengine - INFO - Epoch(train) [87][1480/3757] lr: 1.000e-04 eta: 3:46:41 time: 0.213 data_time: 0.017 memory: 5150 grad_norm: 8.6350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9233 loss: 0.9233 2022/06/29 02:14:30 - mmengine - INFO - Epoch(train) [87][1500/3757] lr: 1.000e-04 eta: 3:46:36 time: 0.674 data_time: 0.011 memory: 5150 grad_norm: 9.3401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/06/29 02:14:35 - mmengine - INFO - Epoch(train) [87][1520/3757] lr: 1.000e-04 eta: 3:46:30 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6643 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2985 loss: 1.2985 2022/06/29 02:14:40 - mmengine - INFO - Epoch(train) [87][1540/3757] lr: 1.000e-04 eta: 3:46:25 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 8.7210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3709 loss: 1.3709 2022/06/29 02:14:46 - mmengine - INFO - Epoch(train) [87][1560/3757] lr: 1.000e-04 eta: 3:46:20 time: 0.759 data_time: 0.008 memory: 5150 grad_norm: 9.2255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1324 loss: 1.1324 2022/06/29 02:14:50 - mmengine - INFO - Epoch(train) [87][1580/3757] lr: 1.000e-04 eta: 3:46:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.0313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0571 loss: 1.0571 2022/06/29 02:14:56 - mmengine - INFO - Epoch(train) [87][1600/3757] lr: 1.000e-04 eta: 3:46:09 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 8.1647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/06/29 02:15:01 - mmengine - INFO - Epoch(train) [87][1620/3757] lr: 1.000e-04 eta: 3:46:04 time: 0.436 data_time: 0.008 memory: 5150 grad_norm: 9.7860 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/06/29 02:15:06 - mmengine - INFO - Epoch(train) [87][1640/3757] lr: 1.000e-04 eta: 3:45:58 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.2402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0051 loss: 1.0051 2022/06/29 02:15:12 - mmengine - INFO - Epoch(train) [87][1660/3757] lr: 1.000e-04 eta: 3:45:53 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.2727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/06/29 02:15:18 - mmengine - INFO - Epoch(train) [87][1680/3757] lr: 1.000e-04 eta: 3:45:48 time: 1.404 data_time: 0.008 memory: 5150 grad_norm: 8.2956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1448 loss: 1.1448 2022/06/29 02:15:23 - mmengine - INFO - Epoch(train) [87][1700/3757] lr: 1.000e-04 eta: 3:45:42 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 10.3569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4178 loss: 1.4178 2022/06/29 02:15:28 - mmengine - INFO - Epoch(train) [87][1720/3757] lr: 1.000e-04 eta: 3:45:37 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 10.0185 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1696 loss: 1.1696 2022/06/29 02:15:34 - mmengine - INFO - Epoch(train) [87][1740/3757] lr: 1.000e-04 eta: 3:45:32 time: 1.261 data_time: 0.007 memory: 5150 grad_norm: 9.6312 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1773 loss: 1.1773 2022/06/29 02:15:39 - mmengine - INFO - Epoch(train) [87][1760/3757] lr: 1.000e-04 eta: 3:45:27 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 10.4959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/06/29 02:15:44 - mmengine - INFO - Epoch(train) [87][1780/3757] lr: 1.000e-04 eta: 3:45:21 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 7.0935 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/06/29 02:15:50 - mmengine - INFO - Epoch(train) [87][1800/3757] lr: 1.000e-04 eta: 3:45:16 time: 0.848 data_time: 0.012 memory: 5150 grad_norm: 10.1532 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1148 loss: 1.1148 2022/06/29 02:15:55 - mmengine - INFO - Epoch(train) [87][1820/3757] lr: 1.000e-04 eta: 3:45:11 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 9.3455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/06/29 02:16:00 - mmengine - INFO - Epoch(train) [87][1840/3757] lr: 1.000e-04 eta: 3:45:05 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 10.8955 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7802 loss: 0.7802 2022/06/29 02:16:05 - mmengine - INFO - Epoch(train) [87][1860/3757] lr: 1.000e-04 eta: 3:45:00 time: 0.507 data_time: 0.007 memory: 5150 grad_norm: 8.9160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2406 loss: 1.2406 2022/06/29 02:16:10 - mmengine - INFO - Epoch(train) [87][1880/3757] lr: 1.000e-04 eta: 3:44:55 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.2096 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3087 loss: 1.3087 2022/06/29 02:16:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:16:16 - mmengine - INFO - Epoch(train) [87][1900/3757] lr: 1.000e-04 eta: 3:44:49 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 8.8738 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8612 loss: 0.8612 2022/06/29 02:16:22 - mmengine - INFO - Epoch(train) [87][1920/3757] lr: 1.000e-04 eta: 3:44:44 time: 0.887 data_time: 0.010 memory: 5150 grad_norm: 8.2526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/06/29 02:16:26 - mmengine - INFO - Epoch(train) [87][1940/3757] lr: 1.000e-04 eta: 3:44:39 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 9.6211 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/06/29 02:16:32 - mmengine - INFO - Epoch(train) [87][1960/3757] lr: 1.000e-04 eta: 3:44:33 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.2484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4607 loss: 1.4607 2022/06/29 02:16:37 - mmengine - INFO - Epoch(train) [87][1980/3757] lr: 1.000e-04 eta: 3:44:28 time: 0.980 data_time: 0.011 memory: 5150 grad_norm: 9.3982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/06/29 02:16:42 - mmengine - INFO - Epoch(train) [87][2000/3757] lr: 1.000e-04 eta: 3:44:23 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.7079 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7890 loss: 0.7890 2022/06/29 02:16:48 - mmengine - INFO - Epoch(train) [87][2020/3757] lr: 1.000e-04 eta: 3:44:17 time: 0.231 data_time: 0.019 memory: 5150 grad_norm: 8.3418 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2076 loss: 1.2076 2022/06/29 02:16:53 - mmengine - INFO - Epoch(train) [87][2040/3757] lr: 1.000e-04 eta: 3:44:12 time: 0.618 data_time: 0.010 memory: 5150 grad_norm: 7.0579 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9610 loss: 0.9610 2022/06/29 02:16:57 - mmengine - INFO - Epoch(train) [87][2060/3757] lr: 1.000e-04 eta: 3:44:06 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.1260 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/06/29 02:17:03 - mmengine - INFO - Epoch(train) [87][2080/3757] lr: 1.000e-04 eta: 3:44:01 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 9.3717 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3410 loss: 1.3410 2022/06/29 02:17:09 - mmengine - INFO - Epoch(train) [87][2100/3757] lr: 1.000e-04 eta: 3:43:56 time: 0.540 data_time: 0.008 memory: 5150 grad_norm: 7.6447 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7848 loss: 0.7848 2022/06/29 02:17:14 - mmengine - INFO - Epoch(train) [87][2120/3757] lr: 1.000e-04 eta: 3:43:51 time: 0.858 data_time: 0.008 memory: 5150 grad_norm: 9.6448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0966 loss: 1.0966 2022/06/29 02:17:19 - mmengine - INFO - Epoch(train) [87][2140/3757] lr: 1.000e-04 eta: 3:43:45 time: 0.219 data_time: 0.016 memory: 5150 grad_norm: 8.2818 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3705 loss: 1.3705 2022/06/29 02:17:25 - mmengine - INFO - Epoch(train) [87][2160/3757] lr: 1.000e-04 eta: 3:43:40 time: 0.510 data_time: 0.007 memory: 5150 grad_norm: 10.0587 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0461 loss: 1.0461 2022/06/29 02:17:30 - mmengine - INFO - Epoch(train) [87][2180/3757] lr: 1.000e-04 eta: 3:43:35 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 10.0391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2361 loss: 1.2361 2022/06/29 02:17:35 - mmengine - INFO - Epoch(train) [87][2200/3757] lr: 1.000e-04 eta: 3:43:29 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.0041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3462 loss: 1.3462 2022/06/29 02:17:40 - mmengine - INFO - Epoch(train) [87][2220/3757] lr: 1.000e-04 eta: 3:43:24 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 10.4094 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4140 loss: 1.4140 2022/06/29 02:17:46 - mmengine - INFO - Epoch(train) [87][2240/3757] lr: 1.000e-04 eta: 3:43:19 time: 0.703 data_time: 0.007 memory: 5150 grad_norm: 8.1729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1752 loss: 1.1752 2022/06/29 02:17:51 - mmengine - INFO - Epoch(train) [87][2260/3757] lr: 1.000e-04 eta: 3:43:13 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 9.3590 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3452 loss: 1.3452 2022/06/29 02:17:57 - mmengine - INFO - Epoch(train) [87][2280/3757] lr: 1.000e-04 eta: 3:43:08 time: 0.321 data_time: 0.019 memory: 5150 grad_norm: 7.4518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9325 loss: 0.9325 2022/06/29 02:18:02 - mmengine - INFO - Epoch(train) [87][2300/3757] lr: 1.000e-04 eta: 3:43:03 time: 0.499 data_time: 0.028 memory: 5150 grad_norm: 8.8206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2984 loss: 1.2984 2022/06/29 02:18:08 - mmengine - INFO - Epoch(train) [87][2320/3757] lr: 1.000e-04 eta: 3:42:57 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.7894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9967 loss: 0.9967 2022/06/29 02:18:13 - mmengine - INFO - Epoch(train) [87][2340/3757] lr: 1.000e-04 eta: 3:42:52 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 9.1803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1629 loss: 1.1629 2022/06/29 02:18:18 - mmengine - INFO - Epoch(train) [87][2360/3757] lr: 1.000e-04 eta: 3:42:47 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.8530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9016 loss: 0.9016 2022/06/29 02:18:23 - mmengine - INFO - Epoch(train) [87][2380/3757] lr: 1.000e-04 eta: 3:42:41 time: 0.322 data_time: 0.008 memory: 5150 grad_norm: 10.1333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/06/29 02:18:29 - mmengine - INFO - Epoch(train) [87][2400/3757] lr: 1.000e-04 eta: 3:42:36 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 10.2352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1128 loss: 1.1128 2022/06/29 02:18:35 - mmengine - INFO - Epoch(train) [87][2420/3757] lr: 1.000e-04 eta: 3:42:31 time: 0.700 data_time: 0.007 memory: 5150 grad_norm: 8.1065 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2241 loss: 1.2241 2022/06/29 02:18:40 - mmengine - INFO - Epoch(train) [87][2440/3757] lr: 1.000e-04 eta: 3:42:26 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.9218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9288 loss: 0.9288 2022/06/29 02:18:45 - mmengine - INFO - Epoch(train) [87][2460/3757] lr: 1.000e-04 eta: 3:42:20 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 10.5208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3661 loss: 1.3661 2022/06/29 02:18:50 - mmengine - INFO - Epoch(train) [87][2480/3757] lr: 1.000e-04 eta: 3:42:15 time: 0.824 data_time: 0.013 memory: 5150 grad_norm: 10.0721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4448 loss: 1.4448 2022/06/29 02:18:55 - mmengine - INFO - Epoch(train) [87][2500/3757] lr: 1.000e-04 eta: 3:42:09 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 8.8625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9344 loss: 0.9344 2022/06/29 02:19:00 - mmengine - INFO - Epoch(train) [87][2520/3757] lr: 1.000e-04 eta: 3:42:04 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 10.2781 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/06/29 02:19:06 - mmengine - INFO - Epoch(train) [87][2540/3757] lr: 1.000e-04 eta: 3:41:59 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 8.9849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1229 loss: 1.1229 2022/06/29 02:19:11 - mmengine - INFO - Epoch(train) [87][2560/3757] lr: 1.000e-04 eta: 3:41:53 time: 0.700 data_time: 0.014 memory: 5150 grad_norm: 10.3790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1835 loss: 1.1835 2022/06/29 02:19:16 - mmengine - INFO - Epoch(train) [87][2580/3757] lr: 1.000e-04 eta: 3:41:48 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 11.0530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9304 loss: 0.9304 2022/06/29 02:19:22 - mmengine - INFO - Epoch(train) [87][2600/3757] lr: 1.000e-04 eta: 3:41:43 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 10.1596 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0071 loss: 1.0071 2022/06/29 02:19:28 - mmengine - INFO - Epoch(train) [87][2620/3757] lr: 1.000e-04 eta: 3:41:38 time: 1.092 data_time: 0.017 memory: 5150 grad_norm: 7.6957 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0539 loss: 1.0539 2022/06/29 02:19:32 - mmengine - INFO - Epoch(train) [87][2640/3757] lr: 1.000e-04 eta: 3:41:32 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 8.2827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2933 loss: 1.2933 2022/06/29 02:19:38 - mmengine - INFO - Epoch(train) [87][2660/3757] lr: 1.000e-04 eta: 3:41:27 time: 0.382 data_time: 0.007 memory: 5150 grad_norm: 7.0178 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/06/29 02:19:43 - mmengine - INFO - Epoch(train) [87][2680/3757] lr: 1.000e-04 eta: 3:41:22 time: 0.898 data_time: 0.020 memory: 5150 grad_norm: 8.0471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/29 02:19:49 - mmengine - INFO - Epoch(train) [87][2700/3757] lr: 1.000e-04 eta: 3:41:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.6807 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2872 loss: 1.2872 2022/06/29 02:19:54 - mmengine - INFO - Epoch(train) [87][2720/3757] lr: 1.000e-04 eta: 3:41:11 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.8594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7935 loss: 0.7935 2022/06/29 02:20:00 - mmengine - INFO - Epoch(train) [87][2740/3757] lr: 1.000e-04 eta: 3:41:06 time: 0.907 data_time: 0.022 memory: 5150 grad_norm: 8.4082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5081 loss: 1.5081 2022/06/29 02:20:05 - mmengine - INFO - Epoch(train) [87][2760/3757] lr: 1.000e-04 eta: 3:41:00 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.7759 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2227 loss: 1.2227 2022/06/29 02:20:10 - mmengine - INFO - Epoch(train) [87][2780/3757] lr: 1.000e-04 eta: 3:40:55 time: 0.231 data_time: 0.011 memory: 5150 grad_norm: 10.7217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2163 loss: 1.2163 2022/06/29 02:20:15 - mmengine - INFO - Epoch(train) [87][2800/3757] lr: 1.000e-04 eta: 3:40:50 time: 0.228 data_time: 0.022 memory: 5150 grad_norm: 9.5397 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/06/29 02:20:21 - mmengine - INFO - Epoch(train) [87][2820/3757] lr: 1.000e-04 eta: 3:40:44 time: 0.192 data_time: 0.009 memory: 5150 grad_norm: 9.3140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2001 loss: 1.2001 2022/06/29 02:20:26 - mmengine - INFO - Epoch(train) [87][2840/3757] lr: 1.000e-04 eta: 3:40:39 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.2739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0823 loss: 1.0823 2022/06/29 02:20:31 - mmengine - INFO - Epoch(train) [87][2860/3757] lr: 1.000e-04 eta: 3:40:34 time: 0.458 data_time: 0.027 memory: 5150 grad_norm: 8.9649 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4212 loss: 1.4212 2022/06/29 02:20:36 - mmengine - INFO - Epoch(train) [87][2880/3757] lr: 1.000e-04 eta: 3:40:28 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.1847 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0533 loss: 1.0533 2022/06/29 02:20:42 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:20:42 - mmengine - INFO - Epoch(train) [87][2900/3757] lr: 1.000e-04 eta: 3:40:23 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.4898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2307 loss: 1.2307 2022/06/29 02:20:47 - mmengine - INFO - Epoch(train) [87][2920/3757] lr: 1.000e-04 eta: 3:40:18 time: 0.479 data_time: 0.011 memory: 5150 grad_norm: 8.3679 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1094 loss: 1.1094 2022/06/29 02:20:52 - mmengine - INFO - Epoch(train) [87][2940/3757] lr: 1.000e-04 eta: 3:40:12 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 10.7350 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3382 loss: 1.3382 2022/06/29 02:20:57 - mmengine - INFO - Epoch(train) [87][2960/3757] lr: 1.000e-04 eta: 3:40:07 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.7014 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2811 loss: 1.2811 2022/06/29 02:21:03 - mmengine - INFO - Epoch(train) [87][2980/3757] lr: 1.000e-04 eta: 3:40:02 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 7.0233 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1236 loss: 1.1236 2022/06/29 02:21:08 - mmengine - INFO - Epoch(train) [87][3000/3757] lr: 1.000e-04 eta: 3:39:56 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 8.9175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/06/29 02:21:14 - mmengine - INFO - Epoch(train) [87][3020/3757] lr: 1.000e-04 eta: 3:39:51 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.4333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4008 loss: 1.4008 2022/06/29 02:21:19 - mmengine - INFO - Epoch(train) [87][3040/3757] lr: 1.000e-04 eta: 3:39:46 time: 0.347 data_time: 0.008 memory: 5150 grad_norm: 8.0407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0586 loss: 1.0586 2022/06/29 02:21:24 - mmengine - INFO - Epoch(train) [87][3060/3757] lr: 1.000e-04 eta: 3:39:40 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.0725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0965 loss: 1.0965 2022/06/29 02:21:29 - mmengine - INFO - Epoch(train) [87][3080/3757] lr: 1.000e-04 eta: 3:39:35 time: 0.218 data_time: 0.014 memory: 5150 grad_norm: 7.5288 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/06/29 02:21:35 - mmengine - INFO - Epoch(train) [87][3100/3757] lr: 1.000e-04 eta: 3:39:30 time: 0.964 data_time: 0.007 memory: 5150 grad_norm: 8.5907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1334 loss: 1.1334 2022/06/29 02:21:40 - mmengine - INFO - Epoch(train) [87][3120/3757] lr: 1.000e-04 eta: 3:39:24 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.6214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/06/29 02:21:46 - mmengine - INFO - Epoch(train) [87][3140/3757] lr: 1.000e-04 eta: 3:39:19 time: 0.232 data_time: 0.016 memory: 5150 grad_norm: 10.3745 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/06/29 02:21:51 - mmengine - INFO - Epoch(train) [87][3160/3757] lr: 1.000e-04 eta: 3:39:14 time: 0.890 data_time: 0.008 memory: 5150 grad_norm: 9.0327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/06/29 02:21:56 - mmengine - INFO - Epoch(train) [87][3180/3757] lr: 1.000e-04 eta: 3:39:08 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.4248 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2689 loss: 1.2689 2022/06/29 02:22:02 - mmengine - INFO - Epoch(train) [87][3200/3757] lr: 1.000e-04 eta: 3:39:03 time: 0.228 data_time: 0.021 memory: 5150 grad_norm: 8.4677 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1404 loss: 1.1404 2022/06/29 02:22:07 - mmengine - INFO - Epoch(train) [87][3220/3757] lr: 1.000e-04 eta: 3:38:58 time: 0.623 data_time: 0.008 memory: 5150 grad_norm: 8.6482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5892 loss: 1.5892 2022/06/29 02:22:12 - mmengine - INFO - Epoch(train) [87][3240/3757] lr: 1.000e-04 eta: 3:38:52 time: 0.259 data_time: 0.013 memory: 5150 grad_norm: 8.4683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2060 loss: 1.2060 2022/06/29 02:22:17 - mmengine - INFO - Epoch(train) [87][3260/3757] lr: 1.000e-04 eta: 3:38:47 time: 0.219 data_time: 0.013 memory: 5150 grad_norm: 9.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/06/29 02:22:22 - mmengine - INFO - Epoch(train) [87][3280/3757] lr: 1.000e-04 eta: 3:38:42 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.4320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2207 loss: 1.2207 2022/06/29 02:22:28 - mmengine - INFO - Epoch(train) [87][3300/3757] lr: 1.000e-04 eta: 3:38:36 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9363 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3036 loss: 1.3036 2022/06/29 02:22:34 - mmengine - INFO - Epoch(train) [87][3320/3757] lr: 1.000e-04 eta: 3:38:31 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.6320 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9640 loss: 0.9640 2022/06/29 02:22:39 - mmengine - INFO - Epoch(train) [87][3340/3757] lr: 1.000e-04 eta: 3:38:26 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 7.8920 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0145 loss: 1.0145 2022/06/29 02:22:44 - mmengine - INFO - Epoch(train) [87][3360/3757] lr: 1.000e-04 eta: 3:38:21 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.3988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2281 loss: 1.2281 2022/06/29 02:22:50 - mmengine - INFO - Epoch(train) [87][3380/3757] lr: 1.000e-04 eta: 3:38:15 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 8.4747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0059 loss: 1.0059 2022/06/29 02:22:55 - mmengine - INFO - Epoch(train) [87][3400/3757] lr: 1.000e-04 eta: 3:38:10 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.5745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3973 loss: 1.3973 2022/06/29 02:23:01 - mmengine - INFO - Epoch(train) [87][3420/3757] lr: 1.000e-04 eta: 3:38:05 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 8.9927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1823 loss: 1.1823 2022/06/29 02:23:06 - mmengine - INFO - Epoch(train) [87][3440/3757] lr: 1.000e-04 eta: 3:37:59 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.8860 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1461 loss: 1.1461 2022/06/29 02:23:11 - mmengine - INFO - Epoch(train) [87][3460/3757] lr: 1.000e-04 eta: 3:37:54 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 9.1366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/06/29 02:23:16 - mmengine - INFO - Epoch(train) [87][3480/3757] lr: 1.000e-04 eta: 3:37:49 time: 0.196 data_time: 0.009 memory: 5150 grad_norm: 9.6802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3336 loss: 1.3336 2022/06/29 02:23:22 - mmengine - INFO - Epoch(train) [87][3500/3757] lr: 1.000e-04 eta: 3:37:43 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.9799 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5484 loss: 1.5484 2022/06/29 02:23:27 - mmengine - INFO - Epoch(train) [87][3520/3757] lr: 1.000e-04 eta: 3:37:38 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.6135 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2994 loss: 1.2994 2022/06/29 02:23:32 - mmengine - INFO - Epoch(train) [87][3540/3757] lr: 1.000e-04 eta: 3:37:33 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0804 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3164 loss: 1.3164 2022/06/29 02:23:38 - mmengine - INFO - Epoch(train) [87][3560/3757] lr: 1.000e-04 eta: 3:37:27 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.6300 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4014 loss: 1.4014 2022/06/29 02:23:43 - mmengine - INFO - Epoch(train) [87][3580/3757] lr: 1.000e-04 eta: 3:37:22 time: 0.287 data_time: 0.007 memory: 5150 grad_norm: 10.0212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0929 loss: 1.0929 2022/06/29 02:23:48 - mmengine - INFO - Epoch(train) [87][3600/3757] lr: 1.000e-04 eta: 3:37:17 time: 0.217 data_time: 0.009 memory: 5150 grad_norm: 8.6319 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0234 loss: 1.0234 2022/06/29 02:23:54 - mmengine - INFO - Epoch(train) [87][3620/3757] lr: 1.000e-04 eta: 3:37:11 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 8.2263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5572 loss: 1.5572 2022/06/29 02:23:59 - mmengine - INFO - Epoch(train) [87][3640/3757] lr: 1.000e-04 eta: 3:37:06 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 8.9062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0922 loss: 1.0922 2022/06/29 02:24:04 - mmengine - INFO - Epoch(train) [87][3660/3757] lr: 1.000e-04 eta: 3:37:01 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 7.6132 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1590 loss: 1.1590 2022/06/29 02:24:10 - mmengine - INFO - Epoch(train) [87][3680/3757] lr: 1.000e-04 eta: 3:36:55 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 8.7100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1000 loss: 1.1000 2022/06/29 02:24:14 - mmengine - INFO - Epoch(train) [87][3700/3757] lr: 1.000e-04 eta: 3:36:50 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 9.8163 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/06/29 02:24:20 - mmengine - INFO - Epoch(train) [87][3720/3757] lr: 1.000e-04 eta: 3:36:45 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0729 loss: 1.0729 2022/06/29 02:24:25 - mmengine - INFO - Epoch(train) [87][3740/3757] lr: 1.000e-04 eta: 3:36:39 time: 0.223 data_time: 0.018 memory: 5150 grad_norm: 10.9508 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5589 loss: 1.5589 2022/06/29 02:24:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:25:02 - mmengine - INFO - Epoch(val) [87][20/310] eta: 0:05:52 time: 1.100 data_time: 0.451 memory: 9746 2022/06/29 02:25:24 - mmengine - INFO - Epoch(val) [87][40/310] eta: 0:04:50 time: 0.910 data_time: 0.272 memory: 9746 2022/06/29 02:25:46 - mmengine - INFO - Epoch(val) [87][60/310] eta: 0:04:26 time: 1.150 data_time: 0.507 memory: 9746 2022/06/29 02:26:13 - mmengine - INFO - Epoch(val) [87][80/310] eta: 0:05:26 time: 0.974 data_time: 0.344 memory: 9746 2022/06/29 02:26:36 - mmengine - INFO - Epoch(val) [87][100/310] eta: 0:04:16 time: 2.801 data_time: 2.107 memory: 9746 2022/06/29 02:26:58 - mmengine - INFO - Epoch(val) [87][120/310] eta: 0:03:31 time: 1.012 data_time: 0.338 memory: 9746 2022/06/29 02:27:22 - mmengine - INFO - Epoch(val) [87][140/310] eta: 0:03:21 time: 1.043 data_time: 0.417 memory: 9746 2022/06/29 02:27:46 - mmengine - INFO - Epoch(val) [87][160/310] eta: 0:03:15 time: 3.371 data_time: 2.689 memory: 9746 2022/06/29 02:28:09 - mmengine - INFO - Epoch(val) [87][180/310] eta: 0:02:48 time: 0.937 data_time: 0.205 memory: 9746 2022/06/29 02:28:31 - mmengine - INFO - Epoch(val) [87][200/310] eta: 0:02:04 time: 1.091 data_time: 0.425 memory: 9746 2022/06/29 02:28:53 - mmengine - INFO - Epoch(val) [87][220/310] eta: 0:01:37 time: 1.060 data_time: 0.432 memory: 9746 2022/06/29 02:29:14 - mmengine - INFO - Epoch(val) [87][240/310] eta: 0:01:14 time: 1.064 data_time: 0.404 memory: 9746 2022/06/29 02:29:37 - mmengine - INFO - Epoch(val) [87][260/310] eta: 0:01:00 time: 1.029 data_time: 0.367 memory: 9746 2022/06/29 02:30:00 - mmengine - INFO - Epoch(val) [87][280/310] eta: 0:00:34 time: 2.009 data_time: 1.353 memory: 9746 2022/06/29 02:30:19 - mmengine - INFO - Epoch(val) [87][300/310] eta: 0:00:08 time: 0.630 data_time: 0.068 memory: 9746 2022/06/29 02:30:31 - mmengine - INFO - Epoch(val) [87][310/310] acc/top1: 0.7222 acc/top5: 0.9051 acc/mean1: 0.7221 2022/06/29 02:30:40 - mmengine - INFO - Epoch(train) [88][20/3757] lr: 1.000e-04 eta: 3:36:30 time: 0.201 data_time: 0.011 memory: 9746 grad_norm: 10.6677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/06/29 02:30:45 - mmengine - INFO - Epoch(train) [88][40/3757] lr: 1.000e-04 eta: 3:36:24 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.9082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0492 loss: 1.0492 2022/06/29 02:30:50 - mmengine - INFO - Epoch(train) [88][60/3757] lr: 1.000e-04 eta: 3:36:19 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.3272 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8687 loss: 0.8687 2022/06/29 02:30:56 - mmengine - INFO - Epoch(train) [88][80/3757] lr: 1.000e-04 eta: 3:36:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.1161 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3547 loss: 1.3547 2022/06/29 02:31:02 - mmengine - INFO - Epoch(train) [88][100/3757] lr: 1.000e-04 eta: 3:36:08 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 10.9724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/06/29 02:31:07 - mmengine - INFO - Epoch(train) [88][120/3757] lr: 1.000e-04 eta: 3:36:03 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.4255 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/06/29 02:31:12 - mmengine - INFO - Epoch(train) [88][140/3757] lr: 1.000e-04 eta: 3:35:58 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.2003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3036 loss: 1.3036 2022/06/29 02:31:12 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:31:17 - mmengine - INFO - Epoch(train) [88][160/3757] lr: 1.000e-04 eta: 3:35:52 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.6483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1072 loss: 1.1072 2022/06/29 02:31:22 - mmengine - INFO - Epoch(train) [88][180/3757] lr: 1.000e-04 eta: 3:35:47 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 8.7628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/06/29 02:31:28 - mmengine - INFO - Epoch(train) [88][200/3757] lr: 1.000e-04 eta: 3:35:42 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 9.5317 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9152 loss: 0.9152 2022/06/29 02:31:33 - mmengine - INFO - Epoch(train) [88][220/3757] lr: 1.000e-04 eta: 3:35:36 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.1832 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4229 loss: 1.4229 2022/06/29 02:31:38 - mmengine - INFO - Epoch(train) [88][240/3757] lr: 1.000e-04 eta: 3:35:31 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 9.6167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2313 loss: 1.2313 2022/06/29 02:31:44 - mmengine - INFO - Epoch(train) [88][260/3757] lr: 1.000e-04 eta: 3:35:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 10.9737 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9975 loss: 0.9975 2022/06/29 02:31:50 - mmengine - INFO - Epoch(train) [88][280/3757] lr: 1.000e-04 eta: 3:35:21 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.4870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9475 loss: 0.9475 2022/06/29 02:31:54 - mmengine - INFO - Epoch(train) [88][300/3757] lr: 1.000e-04 eta: 3:35:15 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.1306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3052 loss: 1.3052 2022/06/29 02:32:00 - mmengine - INFO - Epoch(train) [88][320/3757] lr: 1.000e-04 eta: 3:35:10 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1860 loss: 1.1860 2022/06/29 02:32:05 - mmengine - INFO - Epoch(train) [88][340/3757] lr: 1.000e-04 eta: 3:35:05 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.0956 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/06/29 02:32:10 - mmengine - INFO - Epoch(train) [88][360/3757] lr: 1.000e-04 eta: 3:34:59 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.0684 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4652 loss: 1.4652 2022/06/29 02:32:15 - mmengine - INFO - Epoch(train) [88][380/3757] lr: 1.000e-04 eta: 3:34:54 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.2405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1458 loss: 1.1458 2022/06/29 02:32:21 - mmengine - INFO - Epoch(train) [88][400/3757] lr: 1.000e-04 eta: 3:34:48 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.3661 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4409 loss: 1.4409 2022/06/29 02:32:26 - mmengine - INFO - Epoch(train) [88][420/3757] lr: 1.000e-04 eta: 3:34:43 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.7434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2781 loss: 1.2781 2022/06/29 02:32:31 - mmengine - INFO - Epoch(train) [88][440/3757] lr: 1.000e-04 eta: 3:34:38 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 8.5710 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/06/29 02:32:37 - mmengine - INFO - Epoch(train) [88][460/3757] lr: 1.000e-04 eta: 3:34:33 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.4885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2518 loss: 1.2518 2022/06/29 02:32:42 - mmengine - INFO - Epoch(train) [88][480/3757] lr: 1.000e-04 eta: 3:34:27 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 9.1421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3351 loss: 1.3351 2022/06/29 02:32:48 - mmengine - INFO - Epoch(train) [88][500/3757] lr: 1.000e-04 eta: 3:34:22 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.3655 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5586 loss: 1.5586 2022/06/29 02:32:53 - mmengine - INFO - Epoch(train) [88][520/3757] lr: 1.000e-04 eta: 3:34:17 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 7.5405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/06/29 02:32:58 - mmengine - INFO - Epoch(train) [88][540/3757] lr: 1.000e-04 eta: 3:34:11 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.7233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1691 loss: 1.1691 2022/06/29 02:33:04 - mmengine - INFO - Epoch(train) [88][560/3757] lr: 1.000e-04 eta: 3:34:06 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.0544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/06/29 02:33:10 - mmengine - INFO - Epoch(train) [88][580/3757] lr: 1.000e-04 eta: 3:34:01 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 10.3028 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5705 loss: 1.5705 2022/06/29 02:33:14 - mmengine - INFO - Epoch(train) [88][600/3757] lr: 1.000e-04 eta: 3:33:55 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 11.7749 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2123 loss: 1.2123 2022/06/29 02:33:20 - mmengine - INFO - Epoch(train) [88][620/3757] lr: 1.000e-04 eta: 3:33:50 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.2164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/06/29 02:33:26 - mmengine - INFO - Epoch(train) [88][640/3757] lr: 1.000e-04 eta: 3:33:45 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.6416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2982 loss: 1.2982 2022/06/29 02:33:30 - mmengine - INFO - Epoch(train) [88][660/3757] lr: 1.000e-04 eta: 3:33:39 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.5829 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 1.4444 loss: 1.4444 2022/06/29 02:33:36 - mmengine - INFO - Epoch(train) [88][680/3757] lr: 1.000e-04 eta: 3:33:34 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.3115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2373 loss: 1.2373 2022/06/29 02:33:41 - mmengine - INFO - Epoch(train) [88][700/3757] lr: 1.000e-04 eta: 3:33:29 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.3839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9783 loss: 0.9783 2022/06/29 02:33:46 - mmengine - INFO - Epoch(train) [88][720/3757] lr: 1.000e-04 eta: 3:33:23 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 9.0838 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0278 loss: 1.0278 2022/06/29 02:33:52 - mmengine - INFO - Epoch(train) [88][740/3757] lr: 1.000e-04 eta: 3:33:18 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 8.3195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/06/29 02:33:58 - mmengine - INFO - Epoch(train) [88][760/3757] lr: 1.000e-04 eta: 3:33:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.1603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0820 loss: 1.0820 2022/06/29 02:34:03 - mmengine - INFO - Epoch(train) [88][780/3757] lr: 1.000e-04 eta: 3:33:07 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.7482 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5778 loss: 0.5778 2022/06/29 02:34:08 - mmengine - INFO - Epoch(train) [88][800/3757] lr: 1.000e-04 eta: 3:33:02 time: 0.380 data_time: 0.008 memory: 5150 grad_norm: 9.6743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1659 loss: 1.1659 2022/06/29 02:34:13 - mmengine - INFO - Epoch(train) [88][820/3757] lr: 1.000e-04 eta: 3:32:57 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.2841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1912 loss: 1.1912 2022/06/29 02:34:18 - mmengine - INFO - Epoch(train) [88][840/3757] lr: 1.000e-04 eta: 3:32:51 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.8534 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2848 loss: 1.2848 2022/06/29 02:34:24 - mmengine - INFO - Epoch(train) [88][860/3757] lr: 1.000e-04 eta: 3:32:46 time: 0.705 data_time: 0.008 memory: 5150 grad_norm: 8.8743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1863 loss: 1.1863 2022/06/29 02:34:30 - mmengine - INFO - Epoch(train) [88][880/3757] lr: 1.000e-04 eta: 3:32:41 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 10.3269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3822 loss: 1.3822 2022/06/29 02:34:35 - mmengine - INFO - Epoch(train) [88][900/3757] lr: 1.000e-04 eta: 3:32:35 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.6311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2799 loss: 1.2799 2022/06/29 02:34:40 - mmengine - INFO - Epoch(train) [88][920/3757] lr: 1.000e-04 eta: 3:32:30 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.3069 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3282 loss: 1.3282 2022/06/29 02:34:45 - mmengine - INFO - Epoch(train) [88][940/3757] lr: 1.000e-04 eta: 3:32:25 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.5185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4326 loss: 1.4326 2022/06/29 02:34:51 - mmengine - INFO - Epoch(train) [88][960/3757] lr: 1.000e-04 eta: 3:32:20 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.2354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0275 loss: 1.0275 2022/06/29 02:34:56 - mmengine - INFO - Epoch(train) [88][980/3757] lr: 1.000e-04 eta: 3:32:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 11.0324 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/06/29 02:35:01 - mmengine - INFO - Epoch(train) [88][1000/3757] lr: 1.000e-04 eta: 3:32:09 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 9.6290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2155 loss: 1.2155 2022/06/29 02:35:07 - mmengine - INFO - Epoch(train) [88][1020/3757] lr: 1.000e-04 eta: 3:32:04 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 9.2173 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3335 loss: 1.3335 2022/06/29 02:35:12 - mmengine - INFO - Epoch(train) [88][1040/3757] lr: 1.000e-04 eta: 3:31:58 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.5584 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2057 loss: 1.2057 2022/06/29 02:35:17 - mmengine - INFO - Epoch(train) [88][1060/3757] lr: 1.000e-04 eta: 3:31:53 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 8.6175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0029 loss: 1.0029 2022/06/29 02:35:23 - mmengine - INFO - Epoch(train) [88][1080/3757] lr: 1.000e-04 eta: 3:31:48 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 7.1316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/06/29 02:35:28 - mmengine - INFO - Epoch(train) [88][1100/3757] lr: 1.000e-04 eta: 3:31:42 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 9.3672 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9089 loss: 0.9089 2022/06/29 02:35:33 - mmengine - INFO - Epoch(train) [88][1120/3757] lr: 1.000e-04 eta: 3:31:37 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1238 loss: 1.1238 2022/06/29 02:35:39 - mmengine - INFO - Epoch(train) [88][1140/3757] lr: 1.000e-04 eta: 3:31:32 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 7.2276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1593 loss: 1.1593 2022/06/29 02:35:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:35:44 - mmengine - INFO - Epoch(train) [88][1160/3757] lr: 1.000e-04 eta: 3:31:26 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.2413 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/06/29 02:35:49 - mmengine - INFO - Epoch(train) [88][1180/3757] lr: 1.000e-04 eta: 3:31:21 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.1394 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/06/29 02:35:55 - mmengine - INFO - Epoch(train) [88][1200/3757] lr: 1.000e-04 eta: 3:31:16 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 9.5541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1355 loss: 1.1355 2022/06/29 02:36:00 - mmengine - INFO - Epoch(train) [88][1220/3757] lr: 1.000e-04 eta: 3:31:10 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.1632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1028 loss: 1.1028 2022/06/29 02:36:05 - mmengine - INFO - Epoch(train) [88][1240/3757] lr: 1.000e-04 eta: 3:31:05 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.0976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0807 loss: 1.0807 2022/06/29 02:36:10 - mmengine - INFO - Epoch(train) [88][1260/3757] lr: 1.000e-04 eta: 3:31:00 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 10.3539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1809 loss: 1.1809 2022/06/29 02:36:16 - mmengine - INFO - Epoch(train) [88][1280/3757] lr: 1.000e-04 eta: 3:30:54 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 7.7494 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3812 loss: 1.3812 2022/06/29 02:36:21 - mmengine - INFO - Epoch(train) [88][1300/3757] lr: 1.000e-04 eta: 3:30:49 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.0663 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4161 loss: 1.4161 2022/06/29 02:36:26 - mmengine - INFO - Epoch(train) [88][1320/3757] lr: 1.000e-04 eta: 3:30:44 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 9.7181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/06/29 02:36:32 - mmengine - INFO - Epoch(train) [88][1340/3757] lr: 1.000e-04 eta: 3:30:38 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.5429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9937 loss: 0.9937 2022/06/29 02:36:37 - mmengine - INFO - Epoch(train) [88][1360/3757] lr: 1.000e-04 eta: 3:30:33 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.3851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9818 loss: 0.9818 2022/06/29 02:36:43 - mmengine - INFO - Epoch(train) [88][1380/3757] lr: 1.000e-04 eta: 3:30:28 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.9978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0608 loss: 1.0608 2022/06/29 02:36:48 - mmengine - INFO - Epoch(train) [88][1400/3757] lr: 1.000e-04 eta: 3:30:22 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.7906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2756 loss: 1.2756 2022/06/29 02:36:53 - mmengine - INFO - Epoch(train) [88][1420/3757] lr: 1.000e-04 eta: 3:30:17 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.3677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4059 loss: 1.4059 2022/06/29 02:36:59 - mmengine - INFO - Epoch(train) [88][1440/3757] lr: 1.000e-04 eta: 3:30:12 time: 0.209 data_time: 0.006 memory: 5150 grad_norm: 8.6815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4141 loss: 1.4141 2022/06/29 02:37:04 - mmengine - INFO - Epoch(train) [88][1460/3757] lr: 1.000e-04 eta: 3:30:06 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.2767 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1898 loss: 1.1898 2022/06/29 02:37:10 - mmengine - INFO - Epoch(train) [88][1480/3757] lr: 1.000e-04 eta: 3:30:01 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 7.7177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9849 loss: 0.9849 2022/06/29 02:37:15 - mmengine - INFO - Epoch(train) [88][1500/3757] lr: 1.000e-04 eta: 3:29:56 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 10.1448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2032 loss: 1.2032 2022/06/29 02:37:20 - mmengine - INFO - Epoch(train) [88][1520/3757] lr: 1.000e-04 eta: 3:29:50 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.2104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6722 loss: 1.6722 2022/06/29 02:37:26 - mmengine - INFO - Epoch(train) [88][1540/3757] lr: 1.000e-04 eta: 3:29:45 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.9949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1471 loss: 1.1471 2022/06/29 02:37:31 - mmengine - INFO - Epoch(train) [88][1560/3757] lr: 1.000e-04 eta: 3:29:40 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 9.4477 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9754 loss: 0.9754 2022/06/29 02:37:36 - mmengine - INFO - Epoch(train) [88][1580/3757] lr: 1.000e-04 eta: 3:29:34 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.0344 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/06/29 02:37:42 - mmengine - INFO - Epoch(train) [88][1600/3757] lr: 1.000e-04 eta: 3:29:29 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 9.5231 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6326 loss: 1.6326 2022/06/29 02:37:47 - mmengine - INFO - Epoch(train) [88][1620/3757] lr: 1.000e-04 eta: 3:29:24 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.5955 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/06/29 02:37:52 - mmengine - INFO - Epoch(train) [88][1640/3757] lr: 1.000e-04 eta: 3:29:18 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.5820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6077 loss: 1.6077 2022/06/29 02:37:57 - mmengine - INFO - Epoch(train) [88][1660/3757] lr: 1.000e-04 eta: 3:29:13 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.0209 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1376 loss: 1.1376 2022/06/29 02:38:02 - mmengine - INFO - Epoch(train) [88][1680/3757] lr: 1.000e-04 eta: 3:29:08 time: 0.406 data_time: 0.007 memory: 5150 grad_norm: 8.6872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2169 loss: 1.2169 2022/06/29 02:38:08 - mmengine - INFO - Epoch(train) [88][1700/3757] lr: 1.000e-04 eta: 3:29:02 time: 0.624 data_time: 0.007 memory: 5150 grad_norm: 8.3099 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4122 loss: 1.4122 2022/06/29 02:38:13 - mmengine - INFO - Epoch(train) [88][1720/3757] lr: 1.000e-04 eta: 3:28:57 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.6055 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2806 loss: 1.2806 2022/06/29 02:38:19 - mmengine - INFO - Epoch(train) [88][1740/3757] lr: 1.000e-04 eta: 3:28:52 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 9.5483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9802 loss: 0.9802 2022/06/29 02:38:24 - mmengine - INFO - Epoch(train) [88][1760/3757] lr: 1.000e-04 eta: 3:28:47 time: 0.385 data_time: 0.007 memory: 5150 grad_norm: 9.5566 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9148 loss: 0.9148 2022/06/29 02:38:29 - mmengine - INFO - Epoch(train) [88][1780/3757] lr: 1.000e-04 eta: 3:28:41 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.3200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7427 loss: 0.7427 2022/06/29 02:38:35 - mmengine - INFO - Epoch(train) [88][1800/3757] lr: 1.000e-04 eta: 3:28:36 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.4546 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1162 loss: 1.1162 2022/06/29 02:38:40 - mmengine - INFO - Epoch(train) [88][1820/3757] lr: 1.000e-04 eta: 3:28:31 time: 0.602 data_time: 0.008 memory: 5150 grad_norm: 8.5176 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4558 loss: 1.4558 2022/06/29 02:38:45 - mmengine - INFO - Epoch(train) [88][1840/3757] lr: 1.000e-04 eta: 3:28:25 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 7.2629 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5575 loss: 1.5575 2022/06/29 02:38:51 - mmengine - INFO - Epoch(train) [88][1860/3757] lr: 1.000e-04 eta: 3:28:20 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.0541 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3676 loss: 1.3676 2022/06/29 02:38:56 - mmengine - INFO - Epoch(train) [88][1880/3757] lr: 1.000e-04 eta: 3:28:15 time: 0.764 data_time: 0.007 memory: 5150 grad_norm: 9.0151 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4103 loss: 1.4103 2022/06/29 02:39:01 - mmengine - INFO - Epoch(train) [88][1900/3757] lr: 1.000e-04 eta: 3:28:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2106 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3017 loss: 1.3017 2022/06/29 02:39:07 - mmengine - INFO - Epoch(train) [88][1920/3757] lr: 1.000e-04 eta: 3:28:04 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 9.0200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2857 loss: 1.2857 2022/06/29 02:39:12 - mmengine - INFO - Epoch(train) [88][1940/3757] lr: 1.000e-04 eta: 3:27:59 time: 0.804 data_time: 0.008 memory: 5150 grad_norm: 7.9988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3881 loss: 1.3881 2022/06/29 02:39:18 - mmengine - INFO - Epoch(train) [88][1960/3757] lr: 1.000e-04 eta: 3:27:53 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.6286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0995 loss: 1.0995 2022/06/29 02:39:23 - mmengine - INFO - Epoch(train) [88][1980/3757] lr: 1.000e-04 eta: 3:27:48 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 8.0950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8423 loss: 0.8423 2022/06/29 02:39:28 - mmengine - INFO - Epoch(train) [88][2000/3757] lr: 1.000e-04 eta: 3:27:43 time: 0.612 data_time: 0.008 memory: 5150 grad_norm: 8.8138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1458 loss: 1.1458 2022/06/29 02:39:33 - mmengine - INFO - Epoch(train) [88][2020/3757] lr: 1.000e-04 eta: 3:27:37 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.6758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0387 loss: 1.0387 2022/06/29 02:39:39 - mmengine - INFO - Epoch(train) [88][2040/3757] lr: 1.000e-04 eta: 3:27:32 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.3213 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/06/29 02:39:44 - mmengine - INFO - Epoch(train) [88][2060/3757] lr: 1.000e-04 eta: 3:27:27 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.8450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/06/29 02:39:50 - mmengine - INFO - Epoch(train) [88][2080/3757] lr: 1.000e-04 eta: 3:27:21 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.4440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/06/29 02:39:55 - mmengine - INFO - Epoch(train) [88][2100/3757] lr: 1.000e-04 eta: 3:27:16 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.6103 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1804 loss: 1.1804 2022/06/29 02:40:00 - mmengine - INFO - Epoch(train) [88][2120/3757] lr: 1.000e-04 eta: 3:27:11 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.8440 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2195 loss: 1.2195 2022/06/29 02:40:06 - mmengine - INFO - Epoch(train) [88][2140/3757] lr: 1.000e-04 eta: 3:27:06 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.7453 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9828 loss: 0.9828 2022/06/29 02:40:06 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:40:11 - mmengine - INFO - Epoch(train) [88][2160/3757] lr: 1.000e-04 eta: 3:27:00 time: 0.203 data_time: 0.006 memory: 5150 grad_norm: 8.4732 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0447 loss: 1.0447 2022/06/29 02:40:16 - mmengine - INFO - Epoch(train) [88][2180/3757] lr: 1.000e-04 eta: 3:26:55 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.3990 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1050 loss: 1.1050 2022/06/29 02:40:22 - mmengine - INFO - Epoch(train) [88][2200/3757] lr: 1.000e-04 eta: 3:26:50 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.0751 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3427 loss: 1.3427 2022/06/29 02:40:27 - mmengine - INFO - Epoch(train) [88][2220/3757] lr: 1.000e-04 eta: 3:26:44 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 10.2197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0532 loss: 1.0532 2022/06/29 02:40:33 - mmengine - INFO - Epoch(train) [88][2240/3757] lr: 1.000e-04 eta: 3:26:39 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.3692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9391 loss: 0.9391 2022/06/29 02:40:38 - mmengine - INFO - Epoch(train) [88][2260/3757] lr: 1.000e-04 eta: 3:26:34 time: 0.231 data_time: 0.008 memory: 5150 grad_norm: 8.9755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8034 loss: 0.8034 2022/06/29 02:40:44 - mmengine - INFO - Epoch(train) [88][2280/3757] lr: 1.000e-04 eta: 3:26:28 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.1830 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1570 loss: 1.1570 2022/06/29 02:40:49 - mmengine - INFO - Epoch(train) [88][2300/3757] lr: 1.000e-04 eta: 3:26:23 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.1570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/06/29 02:40:54 - mmengine - INFO - Epoch(train) [88][2320/3757] lr: 1.000e-04 eta: 3:26:18 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 9.9548 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0391 loss: 1.0391 2022/06/29 02:40:59 - mmengine - INFO - Epoch(train) [88][2340/3757] lr: 1.000e-04 eta: 3:26:12 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.1228 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3748 loss: 1.3748 2022/06/29 02:41:05 - mmengine - INFO - Epoch(train) [88][2360/3757] lr: 1.000e-04 eta: 3:26:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.2723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0195 loss: 1.0195 2022/06/29 02:41:09 - mmengine - INFO - Epoch(train) [88][2380/3757] lr: 1.000e-04 eta: 3:26:02 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.8003 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/06/29 02:41:15 - mmengine - INFO - Epoch(train) [88][2400/3757] lr: 1.000e-04 eta: 3:25:56 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.2559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3450 loss: 1.3450 2022/06/29 02:41:20 - mmengine - INFO - Epoch(train) [88][2420/3757] lr: 1.000e-04 eta: 3:25:51 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 10.8273 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3757 loss: 1.3757 2022/06/29 02:41:25 - mmengine - INFO - Epoch(train) [88][2440/3757] lr: 1.000e-04 eta: 3:25:46 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.4263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8982 loss: 0.8982 2022/06/29 02:41:31 - mmengine - INFO - Epoch(train) [88][2460/3757] lr: 1.000e-04 eta: 3:25:40 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.7172 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1867 loss: 1.1867 2022/06/29 02:41:36 - mmengine - INFO - Epoch(train) [88][2480/3757] lr: 1.000e-04 eta: 3:25:35 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 10.5729 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4468 loss: 1.4468 2022/06/29 02:41:41 - mmengine - INFO - Epoch(train) [88][2500/3757] lr: 1.000e-04 eta: 3:25:30 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 8.5438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3582 loss: 1.3582 2022/06/29 02:41:47 - mmengine - INFO - Epoch(train) [88][2520/3757] lr: 1.000e-04 eta: 3:25:24 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.2537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0799 loss: 1.0799 2022/06/29 02:41:51 - mmengine - INFO - Epoch(train) [88][2540/3757] lr: 1.000e-04 eta: 3:25:19 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.1231 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/06/29 02:41:57 - mmengine - INFO - Epoch(train) [88][2560/3757] lr: 1.000e-04 eta: 3:25:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.4781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8525 loss: 0.8525 2022/06/29 02:42:02 - mmengine - INFO - Epoch(train) [88][2580/3757] lr: 1.000e-04 eta: 3:25:08 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.4572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0186 loss: 1.0186 2022/06/29 02:42:07 - mmengine - INFO - Epoch(train) [88][2600/3757] lr: 1.000e-04 eta: 3:25:03 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.6300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0557 loss: 1.0557 2022/06/29 02:42:12 - mmengine - INFO - Epoch(train) [88][2620/3757] lr: 1.000e-04 eta: 3:24:58 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 8.0698 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0851 loss: 1.0851 2022/06/29 02:42:18 - mmengine - INFO - Epoch(train) [88][2640/3757] lr: 1.000e-04 eta: 3:24:52 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.4029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/06/29 02:42:23 - mmengine - INFO - Epoch(train) [88][2660/3757] lr: 1.000e-04 eta: 3:24:47 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/06/29 02:42:29 - mmengine - INFO - Epoch(train) [88][2680/3757] lr: 1.000e-04 eta: 3:24:42 time: 0.207 data_time: 0.023 memory: 5150 grad_norm: 9.4892 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9854 loss: 0.9854 2022/06/29 02:42:34 - mmengine - INFO - Epoch(train) [88][2700/3757] lr: 1.000e-04 eta: 3:24:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.1905 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4112 loss: 1.4112 2022/06/29 02:42:39 - mmengine - INFO - Epoch(train) [88][2720/3757] lr: 1.000e-04 eta: 3:24:31 time: 0.368 data_time: 0.008 memory: 5150 grad_norm: 9.8857 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3996 loss: 1.3996 2022/06/29 02:42:45 - mmengine - INFO - Epoch(train) [88][2740/3757] lr: 1.000e-04 eta: 3:24:26 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.4041 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1913 loss: 1.1913 2022/06/29 02:42:50 - mmengine - INFO - Epoch(train) [88][2760/3757] lr: 1.000e-04 eta: 3:24:20 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.6025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1984 loss: 1.1984 2022/06/29 02:42:56 - mmengine - INFO - Epoch(train) [88][2780/3757] lr: 1.000e-04 eta: 3:24:15 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 7.4272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1184 loss: 1.1184 2022/06/29 02:43:01 - mmengine - INFO - Epoch(train) [88][2800/3757] lr: 1.000e-04 eta: 3:24:10 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 10.3614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3699 loss: 1.3699 2022/06/29 02:43:07 - mmengine - INFO - Epoch(train) [88][2820/3757] lr: 1.000e-04 eta: 3:24:04 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 10.1590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/06/29 02:43:12 - mmengine - INFO - Epoch(train) [88][2840/3757] lr: 1.000e-04 eta: 3:23:59 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 7.0916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2133 loss: 1.2133 2022/06/29 02:43:17 - mmengine - INFO - Epoch(train) [88][2860/3757] lr: 1.000e-04 eta: 3:23:54 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.1840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2226 loss: 1.2226 2022/06/29 02:43:22 - mmengine - INFO - Epoch(train) [88][2880/3757] lr: 1.000e-04 eta: 3:23:48 time: 0.404 data_time: 0.232 memory: 5150 grad_norm: 8.2514 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2153 loss: 1.2153 2022/06/29 02:43:28 - mmengine - INFO - Epoch(train) [88][2900/3757] lr: 1.000e-04 eta: 3:23:43 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.6598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/06/29 02:43:33 - mmengine - INFO - Epoch(train) [88][2920/3757] lr: 1.000e-04 eta: 3:23:38 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.3254 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2404 loss: 1.2404 2022/06/29 02:43:39 - mmengine - INFO - Epoch(train) [88][2940/3757] lr: 1.000e-04 eta: 3:23:33 time: 0.198 data_time: 0.026 memory: 5150 grad_norm: 8.7957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2940 loss: 1.2940 2022/06/29 02:43:44 - mmengine - INFO - Epoch(train) [88][2960/3757] lr: 1.000e-04 eta: 3:23:27 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 11.1364 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0755 loss: 1.0755 2022/06/29 02:43:49 - mmengine - INFO - Epoch(train) [88][2980/3757] lr: 1.000e-04 eta: 3:23:22 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.2195 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9767 loss: 0.9767 2022/06/29 02:43:55 - mmengine - INFO - Epoch(train) [88][3000/3757] lr: 1.000e-04 eta: 3:23:17 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.8817 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2331 loss: 1.2331 2022/06/29 02:44:00 - mmengine - INFO - Epoch(train) [88][3020/3757] lr: 1.000e-04 eta: 3:23:11 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 8.6314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/06/29 02:44:05 - mmengine - INFO - Epoch(train) [88][3040/3757] lr: 1.000e-04 eta: 3:23:06 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.7331 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3007 loss: 1.3007 2022/06/29 02:44:12 - mmengine - INFO - Epoch(train) [88][3060/3757] lr: 1.000e-04 eta: 3:23:01 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.9163 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2228 loss: 1.2228 2022/06/29 02:44:16 - mmengine - INFO - Epoch(train) [88][3080/3757] lr: 1.000e-04 eta: 3:22:55 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 7.5062 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/06/29 02:44:22 - mmengine - INFO - Epoch(train) [88][3100/3757] lr: 1.000e-04 eta: 3:22:50 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.2417 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/06/29 02:44:27 - mmengine - INFO - Epoch(train) [88][3120/3757] lr: 1.000e-04 eta: 3:22:45 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.1402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0140 loss: 1.0140 2022/06/29 02:44:32 - mmengine - INFO - Epoch(train) [88][3140/3757] lr: 1.000e-04 eta: 3:22:39 time: 0.235 data_time: 0.007 memory: 5150 grad_norm: 7.0409 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9516 loss: 0.9516 2022/06/29 02:44:32 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:44:37 - mmengine - INFO - Epoch(train) [88][3160/3757] lr: 1.000e-04 eta: 3:22:34 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.4776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1122 loss: 1.1122 2022/06/29 02:44:43 - mmengine - INFO - Epoch(train) [88][3180/3757] lr: 1.000e-04 eta: 3:22:29 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 10.2580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1510 loss: 1.1510 2022/06/29 02:44:48 - mmengine - INFO - Epoch(train) [88][3200/3757] lr: 1.000e-04 eta: 3:22:23 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 8.7102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2832 loss: 1.2832 2022/06/29 02:44:53 - mmengine - INFO - Epoch(train) [88][3220/3757] lr: 1.000e-04 eta: 3:22:18 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 8.5992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0498 loss: 1.0498 2022/06/29 02:44:59 - mmengine - INFO - Epoch(train) [88][3240/3757] lr: 1.000e-04 eta: 3:22:13 time: 0.191 data_time: 0.010 memory: 5150 grad_norm: 10.6635 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1249 loss: 1.1249 2022/06/29 02:45:04 - mmengine - INFO - Epoch(train) [88][3260/3757] lr: 1.000e-04 eta: 3:22:07 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.3298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0064 loss: 1.0064 2022/06/29 02:45:09 - mmengine - INFO - Epoch(train) [88][3280/3757] lr: 1.000e-04 eta: 3:22:02 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.9862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3420 loss: 1.3420 2022/06/29 02:45:15 - mmengine - INFO - Epoch(train) [88][3300/3757] lr: 1.000e-04 eta: 3:21:57 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.3196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8155 loss: 0.8155 2022/06/29 02:45:20 - mmengine - INFO - Epoch(train) [88][3320/3757] lr: 1.000e-04 eta: 3:21:51 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.1879 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9633 loss: 0.9633 2022/06/29 02:45:25 - mmengine - INFO - Epoch(train) [88][3340/3757] lr: 1.000e-04 eta: 3:21:46 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.4045 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0739 loss: 1.0739 2022/06/29 02:45:30 - mmengine - INFO - Epoch(train) [88][3360/3757] lr: 1.000e-04 eta: 3:21:41 time: 0.225 data_time: 0.009 memory: 5150 grad_norm: 7.5831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5228 loss: 1.5228 2022/06/29 02:45:36 - mmengine - INFO - Epoch(train) [88][3380/3757] lr: 1.000e-04 eta: 3:21:35 time: 0.510 data_time: 0.011 memory: 5150 grad_norm: 7.3861 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4584 loss: 1.4584 2022/06/29 02:45:41 - mmengine - INFO - Epoch(train) [88][3400/3757] lr: 1.000e-04 eta: 3:21:30 time: 0.237 data_time: 0.007 memory: 5150 grad_norm: 10.9617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2112 loss: 1.2112 2022/06/29 02:45:47 - mmengine - INFO - Epoch(train) [88][3420/3757] lr: 1.000e-04 eta: 3:21:25 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.3747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0279 loss: 1.0279 2022/06/29 02:45:52 - mmengine - INFO - Epoch(train) [88][3440/3757] lr: 1.000e-04 eta: 3:21:19 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 9.9763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4962 loss: 1.4962 2022/06/29 02:45:57 - mmengine - INFO - Epoch(train) [88][3460/3757] lr: 1.000e-04 eta: 3:21:14 time: 0.453 data_time: 0.007 memory: 5150 grad_norm: 9.6391 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3980 loss: 1.3980 2022/06/29 02:46:03 - mmengine - INFO - Epoch(train) [88][3480/3757] lr: 1.000e-04 eta: 3:21:09 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.8582 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3820 loss: 1.3820 2022/06/29 02:46:08 - mmengine - INFO - Epoch(train) [88][3500/3757] lr: 1.000e-04 eta: 3:21:03 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 9.5046 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1064 loss: 1.1064 2022/06/29 02:46:14 - mmengine - INFO - Epoch(train) [88][3520/3757] lr: 1.000e-04 eta: 3:20:58 time: 0.524 data_time: 0.007 memory: 5150 grad_norm: 8.4175 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5453 loss: 1.5453 2022/06/29 02:46:19 - mmengine - INFO - Epoch(train) [88][3540/3757] lr: 1.000e-04 eta: 3:20:53 time: 0.881 data_time: 0.009 memory: 5150 grad_norm: 11.6396 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1797 loss: 1.1797 2022/06/29 02:46:25 - mmengine - INFO - Epoch(train) [88][3560/3757] lr: 1.000e-04 eta: 3:20:48 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.9396 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2199 loss: 1.2199 2022/06/29 02:46:30 - mmengine - INFO - Epoch(train) [88][3580/3757] lr: 1.000e-04 eta: 3:20:42 time: 0.227 data_time: 0.010 memory: 5150 grad_norm: 9.3926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0015 loss: 1.0015 2022/06/29 02:46:36 - mmengine - INFO - Epoch(train) [88][3600/3757] lr: 1.000e-04 eta: 3:20:37 time: 1.095 data_time: 0.011 memory: 5150 grad_norm: 8.6604 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0939 loss: 1.0939 2022/06/29 02:46:41 - mmengine - INFO - Epoch(train) [88][3620/3757] lr: 1.000e-04 eta: 3:20:32 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 10.2696 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1803 loss: 1.1803 2022/06/29 02:46:46 - mmengine - INFO - Epoch(train) [88][3640/3757] lr: 1.000e-04 eta: 3:20:26 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.8667 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0070 loss: 1.0070 2022/06/29 02:46:52 - mmengine - INFO - Epoch(train) [88][3660/3757] lr: 1.000e-04 eta: 3:20:21 time: 0.539 data_time: 0.014 memory: 5150 grad_norm: 9.1505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/06/29 02:46:56 - mmengine - INFO - Epoch(train) [88][3680/3757] lr: 1.000e-04 eta: 3:20:16 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.8986 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4453 loss: 1.4453 2022/06/29 02:47:02 - mmengine - INFO - Epoch(train) [88][3700/3757] lr: 1.000e-04 eta: 3:20:10 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.3242 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/06/29 02:47:08 - mmengine - INFO - Epoch(train) [88][3720/3757] lr: 1.000e-04 eta: 3:20:05 time: 1.182 data_time: 0.013 memory: 5150 grad_norm: 7.6740 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8167 loss: 0.8167 2022/06/29 02:47:13 - mmengine - INFO - Epoch(train) [88][3740/3757] lr: 1.000e-04 eta: 3:20:00 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 11.6987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0075 loss: 1.0075 2022/06/29 02:47:16 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:47:49 - mmengine - INFO - Epoch(val) [88][20/310] eta: 0:05:51 time: 1.004 data_time: 0.362 memory: 9746 2022/06/29 02:48:12 - mmengine - INFO - Epoch(val) [88][40/310] eta: 0:05:00 time: 0.998 data_time: 0.350 memory: 9746 2022/06/29 02:48:34 - mmengine - INFO - Epoch(val) [88][60/310] eta: 0:04:19 time: 1.047 data_time: 0.406 memory: 9746 2022/06/29 02:48:58 - mmengine - INFO - Epoch(val) [88][80/310] eta: 0:04:59 time: 1.097 data_time: 0.442 memory: 9746 2022/06/29 02:49:22 - mmengine - INFO - Epoch(val) [88][100/310] eta: 0:04:14 time: 2.727 data_time: 2.034 memory: 9746 2022/06/29 02:49:43 - mmengine - INFO - Epoch(val) [88][120/310] eta: 0:03:27 time: 1.043 data_time: 0.403 memory: 9746 2022/06/29 02:50:08 - mmengine - INFO - Epoch(val) [88][140/310] eta: 0:03:22 time: 1.141 data_time: 0.467 memory: 9746 2022/06/29 02:50:32 - mmengine - INFO - Epoch(val) [88][160/310] eta: 0:03:09 time: 3.164 data_time: 2.477 memory: 9746 2022/06/29 02:50:55 - mmengine - INFO - Epoch(val) [88][180/310] eta: 0:02:40 time: 1.098 data_time: 0.443 memory: 9746 2022/06/29 02:51:18 - mmengine - INFO - Epoch(val) [88][200/310] eta: 0:02:17 time: 1.019 data_time: 0.372 memory: 9746 2022/06/29 02:51:39 - mmengine - INFO - Epoch(val) [88][220/310] eta: 0:01:33 time: 1.080 data_time: 0.465 memory: 9746 2022/06/29 02:52:01 - mmengine - INFO - Epoch(val) [88][240/310] eta: 0:01:20 time: 1.107 data_time: 0.475 memory: 9746 2022/06/29 02:52:24 - mmengine - INFO - Epoch(val) [88][260/310] eta: 0:00:59 time: 1.076 data_time: 0.435 memory: 9746 2022/06/29 02:52:48 - mmengine - INFO - Epoch(val) [88][280/310] eta: 0:00:34 time: 2.122 data_time: 1.477 memory: 9746 2022/06/29 02:53:07 - mmengine - INFO - Epoch(val) [88][300/310] eta: 0:00:08 time: 0.635 data_time: 0.069 memory: 9746 2022/06/29 02:53:19 - mmengine - INFO - Epoch(val) [88][310/310] acc/top1: 0.7198 acc/top5: 0.9041 acc/mean1: 0.7197 2022/06/29 02:53:27 - mmengine - INFO - Epoch(train) [89][20/3757] lr: 1.000e-04 eta: 3:19:50 time: 0.195 data_time: 0.008 memory: 9746 grad_norm: 10.9315 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/06/29 02:53:33 - mmengine - INFO - Epoch(train) [89][40/3757] lr: 1.000e-04 eta: 3:19:45 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.3960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1753 loss: 1.1753 2022/06/29 02:53:38 - mmengine - INFO - Epoch(train) [89][60/3757] lr: 1.000e-04 eta: 3:19:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.2913 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/06/29 02:53:44 - mmengine - INFO - Epoch(train) [89][80/3757] lr: 1.000e-04 eta: 3:19:34 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 8.6523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/06/29 02:53:49 - mmengine - INFO - Epoch(train) [89][100/3757] lr: 1.000e-04 eta: 3:19:29 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.7746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8104 loss: 0.8104 2022/06/29 02:53:54 - mmengine - INFO - Epoch(train) [89][120/3757] lr: 1.000e-04 eta: 3:19:23 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.7631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1293 loss: 1.1293 2022/06/29 02:54:00 - mmengine - INFO - Epoch(train) [89][140/3757] lr: 1.000e-04 eta: 3:19:18 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 9.4355 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/06/29 02:54:05 - mmengine - INFO - Epoch(train) [89][160/3757] lr: 1.000e-04 eta: 3:19:13 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.5052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2135 loss: 1.2135 2022/06/29 02:54:10 - mmengine - INFO - Epoch(train) [89][180/3757] lr: 1.000e-04 eta: 3:19:07 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.2594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1185 loss: 1.1185 2022/06/29 02:54:15 - mmengine - INFO - Epoch(train) [89][200/3757] lr: 1.000e-04 eta: 3:19:02 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.2466 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5433 loss: 1.5433 2022/06/29 02:54:20 - mmengine - INFO - Epoch(train) [89][220/3757] lr: 1.000e-04 eta: 3:18:57 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 6.4515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/06/29 02:54:25 - mmengine - INFO - Epoch(train) [89][240/3757] lr: 1.000e-04 eta: 3:18:51 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 8.0185 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0718 loss: 1.0718 2022/06/29 02:54:31 - mmengine - INFO - Epoch(train) [89][260/3757] lr: 1.000e-04 eta: 3:18:46 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 9.9566 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/06/29 02:54:36 - mmengine - INFO - Epoch(train) [89][280/3757] lr: 1.000e-04 eta: 3:18:41 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 10.3488 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0581 loss: 1.0581 2022/06/29 02:54:41 - mmengine - INFO - Epoch(train) [89][300/3757] lr: 1.000e-04 eta: 3:18:35 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.4258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/06/29 02:54:47 - mmengine - INFO - Epoch(train) [89][320/3757] lr: 1.000e-04 eta: 3:18:30 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.5572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0814 loss: 1.0814 2022/06/29 02:54:52 - mmengine - INFO - Epoch(train) [89][340/3757] lr: 1.000e-04 eta: 3:18:25 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 7.1614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0785 loss: 1.0785 2022/06/29 02:54:57 - mmengine - INFO - Epoch(train) [89][360/3757] lr: 1.000e-04 eta: 3:18:19 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.1405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3351 loss: 1.3351 2022/06/29 02:55:02 - mmengine - INFO - Epoch(train) [89][380/3757] lr: 1.000e-04 eta: 3:18:14 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 10.4235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7983 loss: 0.7983 2022/06/29 02:55:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:55:08 - mmengine - INFO - Epoch(train) [89][400/3757] lr: 1.000e-04 eta: 3:18:09 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.5200 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/06/29 02:55:13 - mmengine - INFO - Epoch(train) [89][420/3757] lr: 1.000e-04 eta: 3:18:03 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.0422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3462 loss: 1.3462 2022/06/29 02:55:19 - mmengine - INFO - Epoch(train) [89][440/3757] lr: 1.000e-04 eta: 3:17:58 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.4874 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/06/29 02:55:24 - mmengine - INFO - Epoch(train) [89][460/3757] lr: 1.000e-04 eta: 3:17:53 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6743 loss: 1.6743 2022/06/29 02:55:29 - mmengine - INFO - Epoch(train) [89][480/3757] lr: 1.000e-04 eta: 3:17:47 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.0448 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3668 loss: 1.3668 2022/06/29 02:55:35 - mmengine - INFO - Epoch(train) [89][500/3757] lr: 1.000e-04 eta: 3:17:42 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.2056 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/06/29 02:55:40 - mmengine - INFO - Epoch(train) [89][520/3757] lr: 1.000e-04 eta: 3:17:37 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.5910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5368 loss: 1.5368 2022/06/29 02:55:45 - mmengine - INFO - Epoch(train) [89][540/3757] lr: 1.000e-04 eta: 3:17:31 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.4714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6195 loss: 1.6195 2022/06/29 02:55:50 - mmengine - INFO - Epoch(train) [89][560/3757] lr: 1.000e-04 eta: 3:17:26 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5980 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2865 loss: 1.2865 2022/06/29 02:55:56 - mmengine - INFO - Epoch(train) [89][580/3757] lr: 1.000e-04 eta: 3:17:21 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.0309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0153 loss: 1.0153 2022/06/29 02:56:01 - mmengine - INFO - Epoch(train) [89][600/3757] lr: 1.000e-04 eta: 3:17:15 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 7.6468 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9809 loss: 0.9809 2022/06/29 02:56:06 - mmengine - INFO - Epoch(train) [89][620/3757] lr: 1.000e-04 eta: 3:17:10 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.3811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9311 loss: 0.9311 2022/06/29 02:56:12 - mmengine - INFO - Epoch(train) [89][640/3757] lr: 1.000e-04 eta: 3:17:05 time: 0.254 data_time: 0.008 memory: 5150 grad_norm: 9.4086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/06/29 02:56:17 - mmengine - INFO - Epoch(train) [89][660/3757] lr: 1.000e-04 eta: 3:16:59 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.0051 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2881 loss: 1.2881 2022/06/29 02:56:22 - mmengine - INFO - Epoch(train) [89][680/3757] lr: 1.000e-04 eta: 3:16:54 time: 0.250 data_time: 0.008 memory: 5150 grad_norm: 7.2795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2929 loss: 1.2929 2022/06/29 02:56:27 - mmengine - INFO - Epoch(train) [89][700/3757] lr: 1.000e-04 eta: 3:16:49 time: 0.198 data_time: 0.006 memory: 5150 grad_norm: 6.7510 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/06/29 02:56:32 - mmengine - INFO - Epoch(train) [89][720/3757] lr: 1.000e-04 eta: 3:16:43 time: 0.192 data_time: 0.008 memory: 5150 grad_norm: 8.6872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/06/29 02:56:38 - mmengine - INFO - Epoch(train) [89][740/3757] lr: 1.000e-04 eta: 3:16:38 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.3231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7759 loss: 1.7759 2022/06/29 02:56:44 - mmengine - INFO - Epoch(train) [89][760/3757] lr: 1.000e-04 eta: 3:16:33 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 9.6818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3865 loss: 1.3865 2022/06/29 02:56:48 - mmengine - INFO - Epoch(train) [89][780/3757] lr: 1.000e-04 eta: 3:16:28 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 8.8113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2149 loss: 1.2149 2022/06/29 02:56:54 - mmengine - INFO - Epoch(train) [89][800/3757] lr: 1.000e-04 eta: 3:16:22 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.4157 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1671 loss: 1.1671 2022/06/29 02:56:59 - mmengine - INFO - Epoch(train) [89][820/3757] lr: 1.000e-04 eta: 3:16:17 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.1639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2596 loss: 1.2596 2022/06/29 02:57:04 - mmengine - INFO - Epoch(train) [89][840/3757] lr: 1.000e-04 eta: 3:16:12 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1878 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3152 loss: 1.3152 2022/06/29 02:57:10 - mmengine - INFO - Epoch(train) [89][860/3757] lr: 1.000e-04 eta: 3:16:06 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.0925 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4881 loss: 1.4881 2022/06/29 02:57:15 - mmengine - INFO - Epoch(train) [89][880/3757] lr: 1.000e-04 eta: 3:16:01 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.1838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8295 loss: 0.8295 2022/06/29 02:57:20 - mmengine - INFO - Epoch(train) [89][900/3757] lr: 1.000e-04 eta: 3:15:56 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.7553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6177 loss: 1.6177 2022/06/29 02:57:26 - mmengine - INFO - Epoch(train) [89][920/3757] lr: 1.000e-04 eta: 3:15:50 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 10.2914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1816 loss: 1.1816 2022/06/29 02:57:31 - mmengine - INFO - Epoch(train) [89][940/3757] lr: 1.000e-04 eta: 3:15:45 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 9.9762 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3972 loss: 1.3972 2022/06/29 02:57:37 - mmengine - INFO - Epoch(train) [89][960/3757] lr: 1.000e-04 eta: 3:15:40 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.6546 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8769 loss: 0.8769 2022/06/29 02:57:42 - mmengine - INFO - Epoch(train) [89][980/3757] lr: 1.000e-04 eta: 3:15:34 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.6948 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7742 loss: 1.7742 2022/06/29 02:57:47 - mmengine - INFO - Epoch(train) [89][1000/3757] lr: 1.000e-04 eta: 3:15:29 time: 0.191 data_time: 0.011 memory: 5150 grad_norm: 9.1776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4096 loss: 1.4096 2022/06/29 02:57:53 - mmengine - INFO - Epoch(train) [89][1020/3757] lr: 1.000e-04 eta: 3:15:24 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.1267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3030 loss: 1.3030 2022/06/29 02:57:58 - mmengine - INFO - Epoch(train) [89][1040/3757] lr: 1.000e-04 eta: 3:15:18 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0013 loss: 1.0013 2022/06/29 02:58:04 - mmengine - INFO - Epoch(train) [89][1060/3757] lr: 1.000e-04 eta: 3:15:13 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.3848 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0145 loss: 1.0145 2022/06/29 02:58:09 - mmengine - INFO - Epoch(train) [89][1080/3757] lr: 1.000e-04 eta: 3:15:08 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 6.9662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0175 loss: 1.0175 2022/06/29 02:58:15 - mmengine - INFO - Epoch(train) [89][1100/3757] lr: 1.000e-04 eta: 3:15:02 time: 0.230 data_time: 0.008 memory: 5150 grad_norm: 8.2818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2960 loss: 1.2960 2022/06/29 02:58:20 - mmengine - INFO - Epoch(train) [89][1120/3757] lr: 1.000e-04 eta: 3:14:57 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 8.4361 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3287 loss: 1.3287 2022/06/29 02:58:25 - mmengine - INFO - Epoch(train) [89][1140/3757] lr: 1.000e-04 eta: 3:14:52 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 10.3290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/06/29 02:58:30 - mmengine - INFO - Epoch(train) [89][1160/3757] lr: 1.000e-04 eta: 3:14:46 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.8611 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0889 loss: 1.0889 2022/06/29 02:58:35 - mmengine - INFO - Epoch(train) [89][1180/3757] lr: 1.000e-04 eta: 3:14:41 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.4096 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/06/29 02:58:40 - mmengine - INFO - Epoch(train) [89][1200/3757] lr: 1.000e-04 eta: 3:14:36 time: 0.221 data_time: 0.009 memory: 5150 grad_norm: 11.3403 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2703 loss: 1.2703 2022/06/29 02:58:46 - mmengine - INFO - Epoch(train) [89][1220/3757] lr: 1.000e-04 eta: 3:14:30 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 8.2705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0804 loss: 1.0804 2022/06/29 02:58:52 - mmengine - INFO - Epoch(train) [89][1240/3757] lr: 1.000e-04 eta: 3:14:25 time: 0.280 data_time: 0.008 memory: 5150 grad_norm: 8.3809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2319 loss: 1.2319 2022/06/29 02:58:57 - mmengine - INFO - Epoch(train) [89][1260/3757] lr: 1.000e-04 eta: 3:14:20 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 9.3554 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/06/29 02:59:03 - mmengine - INFO - Epoch(train) [89][1280/3757] lr: 1.000e-04 eta: 3:14:15 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.2251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0907 loss: 1.0907 2022/06/29 02:59:08 - mmengine - INFO - Epoch(train) [89][1300/3757] lr: 1.000e-04 eta: 3:14:09 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.4656 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2418 loss: 1.2418 2022/06/29 02:59:13 - mmengine - INFO - Epoch(train) [89][1320/3757] lr: 1.000e-04 eta: 3:14:04 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.0883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0442 loss: 1.0442 2022/06/29 02:59:18 - mmengine - INFO - Epoch(train) [89][1340/3757] lr: 1.000e-04 eta: 3:13:59 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 8.7296 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1034 loss: 1.1034 2022/06/29 02:59:24 - mmengine - INFO - Epoch(train) [89][1360/3757] lr: 1.000e-04 eta: 3:13:53 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.8398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1177 loss: 1.1177 2022/06/29 02:59:28 - mmengine - INFO - Epoch(train) [89][1380/3757] lr: 1.000e-04 eta: 3:13:48 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.5608 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9121 loss: 0.9121 2022/06/29 02:59:30 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 02:59:34 - mmengine - INFO - Epoch(train) [89][1400/3757] lr: 1.000e-04 eta: 3:13:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.2065 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/06/29 02:59:39 - mmengine - INFO - Epoch(train) [89][1420/3757] lr: 1.000e-04 eta: 3:13:37 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.8895 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2410 loss: 1.2410 2022/06/29 02:59:44 - mmengine - INFO - Epoch(train) [89][1440/3757] lr: 1.000e-04 eta: 3:13:32 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.9925 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3721 loss: 1.3721 2022/06/29 02:59:50 - mmengine - INFO - Epoch(train) [89][1460/3757] lr: 1.000e-04 eta: 3:13:27 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 8.7917 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4744 loss: 1.4744 2022/06/29 02:59:55 - mmengine - INFO - Epoch(train) [89][1480/3757] lr: 1.000e-04 eta: 3:13:21 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.6583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3169 loss: 1.3169 2022/06/29 02:59:59 - mmengine - INFO - Epoch(train) [89][1500/3757] lr: 1.000e-04 eta: 3:13:16 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.1057 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5107 loss: 1.5107 2022/06/29 03:00:05 - mmengine - INFO - Epoch(train) [89][1520/3757] lr: 1.000e-04 eta: 3:13:11 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.4859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3549 loss: 1.3549 2022/06/29 03:00:11 - mmengine - INFO - Epoch(train) [89][1540/3757] lr: 1.000e-04 eta: 3:13:05 time: 0.210 data_time: 0.006 memory: 5150 grad_norm: 9.0013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/06/29 03:00:16 - mmengine - INFO - Epoch(train) [89][1560/3757] lr: 1.000e-04 eta: 3:13:00 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 8.1456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6740 loss: 1.6740 2022/06/29 03:00:21 - mmengine - INFO - Epoch(train) [89][1580/3757] lr: 1.000e-04 eta: 3:12:55 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.9236 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/06/29 03:00:27 - mmengine - INFO - Epoch(train) [89][1600/3757] lr: 1.000e-04 eta: 3:12:49 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 8.5331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3739 loss: 1.3739 2022/06/29 03:00:32 - mmengine - INFO - Epoch(train) [89][1620/3757] lr: 1.000e-04 eta: 3:12:44 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.8265 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2477 loss: 1.2477 2022/06/29 03:00:37 - mmengine - INFO - Epoch(train) [89][1640/3757] lr: 1.000e-04 eta: 3:12:39 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.3107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3056 loss: 1.3056 2022/06/29 03:00:43 - mmengine - INFO - Epoch(train) [89][1660/3757] lr: 1.000e-04 eta: 3:12:33 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.5022 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.8379 loss: 0.8379 2022/06/29 03:00:47 - mmengine - INFO - Epoch(train) [89][1680/3757] lr: 1.000e-04 eta: 3:12:28 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.1102 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1350 loss: 1.1350 2022/06/29 03:00:53 - mmengine - INFO - Epoch(train) [89][1700/3757] lr: 1.000e-04 eta: 3:12:23 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.5667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1517 loss: 1.1517 2022/06/29 03:00:59 - mmengine - INFO - Epoch(train) [89][1720/3757] lr: 1.000e-04 eta: 3:12:17 time: 0.205 data_time: 0.031 memory: 5150 grad_norm: 9.4484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/06/29 03:01:04 - mmengine - INFO - Epoch(train) [89][1740/3757] lr: 1.000e-04 eta: 3:12:12 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.7935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0213 loss: 1.0213 2022/06/29 03:01:09 - mmengine - INFO - Epoch(train) [89][1760/3757] lr: 1.000e-04 eta: 3:12:07 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.2315 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9575 loss: 0.9575 2022/06/29 03:01:15 - mmengine - INFO - Epoch(train) [89][1780/3757] lr: 1.000e-04 eta: 3:12:01 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.5862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9776 loss: 0.9776 2022/06/29 03:01:20 - mmengine - INFO - Epoch(train) [89][1800/3757] lr: 1.000e-04 eta: 3:11:56 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.3993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8017 loss: 0.8017 2022/06/29 03:01:25 - mmengine - INFO - Epoch(train) [89][1820/3757] lr: 1.000e-04 eta: 3:11:51 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.5292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2299 loss: 1.2299 2022/06/29 03:01:30 - mmengine - INFO - Epoch(train) [89][1840/3757] lr: 1.000e-04 eta: 3:11:45 time: 0.215 data_time: 0.014 memory: 5150 grad_norm: 10.2083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2076 loss: 1.2076 2022/06/29 03:01:35 - mmengine - INFO - Epoch(train) [89][1860/3757] lr: 1.000e-04 eta: 3:11:40 time: 0.200 data_time: 0.020 memory: 5150 grad_norm: 9.3543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/06/29 03:01:40 - mmengine - INFO - Epoch(train) [89][1880/3757] lr: 1.000e-04 eta: 3:11:35 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 9.2418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9065 loss: 0.9065 2022/06/29 03:01:46 - mmengine - INFO - Epoch(train) [89][1900/3757] lr: 1.000e-04 eta: 3:11:29 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 8.5809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/06/29 03:01:51 - mmengine - INFO - Epoch(train) [89][1920/3757] lr: 1.000e-04 eta: 3:11:24 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.1285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/06/29 03:01:56 - mmengine - INFO - Epoch(train) [89][1940/3757] lr: 1.000e-04 eta: 3:11:19 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 12.0753 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4221 loss: 1.4221 2022/06/29 03:02:02 - mmengine - INFO - Epoch(train) [89][1960/3757] lr: 1.000e-04 eta: 3:11:13 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 9.6295 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2964 loss: 1.2964 2022/06/29 03:02:07 - mmengine - INFO - Epoch(train) [89][1980/3757] lr: 1.000e-04 eta: 3:11:08 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.5683 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/06/29 03:02:12 - mmengine - INFO - Epoch(train) [89][2000/3757] lr: 1.000e-04 eta: 3:11:03 time: 0.206 data_time: 0.027 memory: 5150 grad_norm: 10.8112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/06/29 03:02:17 - mmengine - INFO - Epoch(train) [89][2020/3757] lr: 1.000e-04 eta: 3:10:57 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 10.3473 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/06/29 03:02:22 - mmengine - INFO - Epoch(train) [89][2040/3757] lr: 1.000e-04 eta: 3:10:52 time: 0.288 data_time: 0.008 memory: 5150 grad_norm: 8.6238 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9631 loss: 0.9631 2022/06/29 03:02:27 - mmengine - INFO - Epoch(train) [89][2060/3757] lr: 1.000e-04 eta: 3:10:47 time: 0.202 data_time: 0.023 memory: 5150 grad_norm: 10.1386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3243 loss: 1.3243 2022/06/29 03:02:33 - mmengine - INFO - Epoch(train) [89][2080/3757] lr: 1.000e-04 eta: 3:10:41 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.3820 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2965 loss: 1.2965 2022/06/29 03:02:38 - mmengine - INFO - Epoch(train) [89][2100/3757] lr: 1.000e-04 eta: 3:10:36 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.7971 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3219 loss: 1.3219 2022/06/29 03:02:44 - mmengine - INFO - Epoch(train) [89][2120/3757] lr: 1.000e-04 eta: 3:10:31 time: 0.206 data_time: 0.017 memory: 5150 grad_norm: 8.4969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9162 loss: 0.9162 2022/06/29 03:02:49 - mmengine - INFO - Epoch(train) [89][2140/3757] lr: 1.000e-04 eta: 3:10:25 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 9.4731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2950 loss: 1.2950 2022/06/29 03:02:54 - mmengine - INFO - Epoch(train) [89][2160/3757] lr: 1.000e-04 eta: 3:10:20 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.1988 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0544 loss: 1.0544 2022/06/29 03:02:59 - mmengine - INFO - Epoch(train) [89][2180/3757] lr: 1.000e-04 eta: 3:10:15 time: 0.218 data_time: 0.020 memory: 5150 grad_norm: 10.2220 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0570 loss: 1.0570 2022/06/29 03:03:04 - mmengine - INFO - Epoch(train) [89][2200/3757] lr: 1.000e-04 eta: 3:10:09 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.2270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4015 loss: 1.4015 2022/06/29 03:03:10 - mmengine - INFO - Epoch(train) [89][2220/3757] lr: 1.000e-04 eta: 3:10:04 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7568 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2481 loss: 1.2481 2022/06/29 03:03:15 - mmengine - INFO - Epoch(train) [89][2240/3757] lr: 1.000e-04 eta: 3:09:59 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.0538 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0441 loss: 1.0441 2022/06/29 03:03:20 - mmengine - INFO - Epoch(train) [89][2260/3757] lr: 1.000e-04 eta: 3:09:53 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 9.7556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1693 loss: 1.1693 2022/06/29 03:03:25 - mmengine - INFO - Epoch(train) [89][2280/3757] lr: 1.000e-04 eta: 3:09:48 time: 0.193 data_time: 0.007 memory: 5150 grad_norm: 9.0040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9912 loss: 0.9912 2022/06/29 03:03:31 - mmengine - INFO - Epoch(train) [89][2300/3757] lr: 1.000e-04 eta: 3:09:43 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9777 loss: 0.9777 2022/06/29 03:03:36 - mmengine - INFO - Epoch(train) [89][2320/3757] lr: 1.000e-04 eta: 3:09:37 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.2922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3364 loss: 1.3364 2022/06/29 03:03:41 - mmengine - INFO - Epoch(train) [89][2340/3757] lr: 1.000e-04 eta: 3:09:32 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.6998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9765 loss: 0.9765 2022/06/29 03:03:47 - mmengine - INFO - Epoch(train) [89][2360/3757] lr: 1.000e-04 eta: 3:09:27 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 11.1171 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/06/29 03:03:53 - mmengine - INFO - Epoch(train) [89][2380/3757] lr: 1.000e-04 eta: 3:09:21 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 10.2253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/06/29 03:03:54 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:03:57 - mmengine - INFO - Epoch(train) [89][2400/3757] lr: 1.000e-04 eta: 3:09:16 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.1425 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/06/29 03:04:03 - mmengine - INFO - Epoch(train) [89][2420/3757] lr: 1.000e-04 eta: 3:09:11 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 10.1765 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3421 loss: 1.3421 2022/06/29 03:04:08 - mmengine - INFO - Epoch(train) [89][2440/3757] lr: 1.000e-04 eta: 3:09:05 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 10.2512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3694 loss: 1.3694 2022/06/29 03:04:13 - mmengine - INFO - Epoch(train) [89][2460/3757] lr: 1.000e-04 eta: 3:09:00 time: 0.364 data_time: 0.015 memory: 5150 grad_norm: 8.3650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1832 loss: 1.1832 2022/06/29 03:04:18 - mmengine - INFO - Epoch(train) [89][2480/3757] lr: 1.000e-04 eta: 3:08:55 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.4275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/06/29 03:04:24 - mmengine - INFO - Epoch(train) [89][2500/3757] lr: 1.000e-04 eta: 3:08:49 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 8.8106 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2107 loss: 1.2107 2022/06/29 03:04:29 - mmengine - INFO - Epoch(train) [89][2520/3757] lr: 1.000e-04 eta: 3:08:44 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.3212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3924 loss: 1.3924 2022/06/29 03:04:35 - mmengine - INFO - Epoch(train) [89][2540/3757] lr: 1.000e-04 eta: 3:08:39 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.1541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/06/29 03:04:40 - mmengine - INFO - Epoch(train) [89][2560/3757] lr: 1.000e-04 eta: 3:08:33 time: 0.208 data_time: 0.024 memory: 5150 grad_norm: 10.2376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2101 loss: 1.2101 2022/06/29 03:04:45 - mmengine - INFO - Epoch(train) [89][2580/3757] lr: 1.000e-04 eta: 3:08:28 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.8696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1282 loss: 1.1282 2022/06/29 03:04:50 - mmengine - INFO - Epoch(train) [89][2600/3757] lr: 1.000e-04 eta: 3:08:23 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 6.9679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1601 loss: 1.1601 2022/06/29 03:04:56 - mmengine - INFO - Epoch(train) [89][2620/3757] lr: 1.000e-04 eta: 3:08:17 time: 0.199 data_time: 0.024 memory: 5150 grad_norm: 9.9335 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2040 loss: 1.2040 2022/06/29 03:05:01 - mmengine - INFO - Epoch(train) [89][2640/3757] lr: 1.000e-04 eta: 3:08:12 time: 0.214 data_time: 0.014 memory: 5150 grad_norm: 7.6683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1335 loss: 1.1335 2022/06/29 03:05:07 - mmengine - INFO - Epoch(train) [89][2660/3757] lr: 1.000e-04 eta: 3:08:07 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.7349 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3214 loss: 1.3214 2022/06/29 03:05:12 - mmengine - INFO - Epoch(train) [89][2680/3757] lr: 1.000e-04 eta: 3:08:02 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 11.1159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2132 loss: 1.2132 2022/06/29 03:05:18 - mmengine - INFO - Epoch(train) [89][2700/3757] lr: 1.000e-04 eta: 3:07:56 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 6.9165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9832 loss: 0.9832 2022/06/29 03:05:23 - mmengine - INFO - Epoch(train) [89][2720/3757] lr: 1.000e-04 eta: 3:07:51 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.0391 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9443 loss: 0.9443 2022/06/29 03:05:28 - mmengine - INFO - Epoch(train) [89][2740/3757] lr: 1.000e-04 eta: 3:07:46 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.0741 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3604 loss: 1.3604 2022/06/29 03:05:34 - mmengine - INFO - Epoch(train) [89][2760/3757] lr: 1.000e-04 eta: 3:07:40 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.2015 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2951 loss: 1.2951 2022/06/29 03:05:39 - mmengine - INFO - Epoch(train) [89][2780/3757] lr: 1.000e-04 eta: 3:07:35 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.0196 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2784 loss: 1.2784 2022/06/29 03:05:45 - mmengine - INFO - Epoch(train) [89][2800/3757] lr: 1.000e-04 eta: 3:07:30 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.1361 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3075 loss: 1.3075 2022/06/29 03:05:50 - mmengine - INFO - Epoch(train) [89][2820/3757] lr: 1.000e-04 eta: 3:07:24 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.0784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3983 loss: 1.3983 2022/06/29 03:05:55 - mmengine - INFO - Epoch(train) [89][2840/3757] lr: 1.000e-04 eta: 3:07:19 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 10.6206 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/06/29 03:06:01 - mmengine - INFO - Epoch(train) [89][2860/3757] lr: 1.000e-04 eta: 3:07:14 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 11.1128 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8794 loss: 0.8794 2022/06/29 03:06:06 - mmengine - INFO - Epoch(train) [89][2880/3757] lr: 1.000e-04 eta: 3:07:08 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.5320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8977 loss: 0.8977 2022/06/29 03:06:11 - mmengine - INFO - Epoch(train) [89][2900/3757] lr: 1.000e-04 eta: 3:07:03 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3060 loss: 1.3060 2022/06/29 03:06:17 - mmengine - INFO - Epoch(train) [89][2920/3757] lr: 1.000e-04 eta: 3:06:58 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 10.5824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9240 loss: 0.9240 2022/06/29 03:06:22 - mmengine - INFO - Epoch(train) [89][2940/3757] lr: 1.000e-04 eta: 3:06:52 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 10.0294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0186 loss: 1.0186 2022/06/29 03:06:27 - mmengine - INFO - Epoch(train) [89][2960/3757] lr: 1.000e-04 eta: 3:06:47 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.5767 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/06/29 03:06:32 - mmengine - INFO - Epoch(train) [89][2980/3757] lr: 1.000e-04 eta: 3:06:42 time: 0.231 data_time: 0.017 memory: 5150 grad_norm: 11.9930 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.2881 loss: 1.2881 2022/06/29 03:06:38 - mmengine - INFO - Epoch(train) [89][3000/3757] lr: 1.000e-04 eta: 3:06:36 time: 0.206 data_time: 0.025 memory: 5150 grad_norm: 8.7780 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1271 loss: 1.1271 2022/06/29 03:06:43 - mmengine - INFO - Epoch(train) [89][3020/3757] lr: 1.000e-04 eta: 3:06:31 time: 0.321 data_time: 0.008 memory: 5150 grad_norm: 9.5790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/29 03:06:48 - mmengine - INFO - Epoch(train) [89][3040/3757] lr: 1.000e-04 eta: 3:06:26 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 8.0711 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2055 loss: 1.2055 2022/06/29 03:06:54 - mmengine - INFO - Epoch(train) [89][3060/3757] lr: 1.000e-04 eta: 3:06:20 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.2125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1217 loss: 1.1217 2022/06/29 03:06:58 - mmengine - INFO - Epoch(train) [89][3080/3757] lr: 1.000e-04 eta: 3:06:15 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.8510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2736 loss: 1.2736 2022/06/29 03:07:03 - mmengine - INFO - Epoch(train) [89][3100/3757] lr: 1.000e-04 eta: 3:06:10 time: 0.208 data_time: 0.017 memory: 5150 grad_norm: 8.8650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8938 loss: 0.8938 2022/06/29 03:07:08 - mmengine - INFO - Epoch(train) [89][3120/3757] lr: 1.000e-04 eta: 3:06:04 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.8292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4299 loss: 1.4299 2022/06/29 03:07:14 - mmengine - INFO - Epoch(train) [89][3140/3757] lr: 1.000e-04 eta: 3:05:59 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 8.7512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1611 loss: 1.1611 2022/06/29 03:07:19 - mmengine - INFO - Epoch(train) [89][3160/3757] lr: 1.000e-04 eta: 3:05:54 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 9.0415 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9311 loss: 0.9311 2022/06/29 03:07:25 - mmengine - INFO - Epoch(train) [89][3180/3757] lr: 1.000e-04 eta: 3:05:48 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 9.5726 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1923 loss: 1.1923 2022/06/29 03:07:30 - mmengine - INFO - Epoch(train) [89][3200/3757] lr: 1.000e-04 eta: 3:05:43 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.1484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/06/29 03:07:36 - mmengine - INFO - Epoch(train) [89][3220/3757] lr: 1.000e-04 eta: 3:05:38 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.3594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9962 loss: 0.9962 2022/06/29 03:07:41 - mmengine - INFO - Epoch(train) [89][3240/3757] lr: 1.000e-04 eta: 3:05:32 time: 0.398 data_time: 0.011 memory: 5150 grad_norm: 8.4997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2142 loss: 1.2142 2022/06/29 03:07:46 - mmengine - INFO - Epoch(train) [89][3260/3757] lr: 1.000e-04 eta: 3:05:27 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.7828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8943 loss: 0.8943 2022/06/29 03:07:52 - mmengine - INFO - Epoch(train) [89][3280/3757] lr: 1.000e-04 eta: 3:05:22 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.7187 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8793 loss: 0.8793 2022/06/29 03:07:57 - mmengine - INFO - Epoch(train) [89][3300/3757] lr: 1.000e-04 eta: 3:05:16 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 9.4669 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/06/29 03:08:03 - mmengine - INFO - Epoch(train) [89][3320/3757] lr: 1.000e-04 eta: 3:05:11 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.6626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/06/29 03:08:08 - mmengine - INFO - Epoch(train) [89][3340/3757] lr: 1.000e-04 eta: 3:05:06 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 10.4828 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8235 loss: 0.8235 2022/06/29 03:08:13 - mmengine - INFO - Epoch(train) [89][3360/3757] lr: 1.000e-04 eta: 3:05:01 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 11.2014 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/06/29 03:08:19 - mmengine - INFO - Epoch(train) [89][3380/3757] lr: 1.000e-04 eta: 3:04:55 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 10.2735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1358 loss: 1.1358 2022/06/29 03:08:20 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:08:24 - mmengine - INFO - Epoch(train) [89][3400/3757] lr: 1.000e-04 eta: 3:04:50 time: 0.201 data_time: 0.029 memory: 5150 grad_norm: 9.3225 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4148 loss: 1.4148 2022/06/29 03:08:30 - mmengine - INFO - Epoch(train) [89][3420/3757] lr: 1.000e-04 eta: 3:04:45 time: 0.216 data_time: 0.011 memory: 5150 grad_norm: 9.9683 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1910 loss: 1.1910 2022/06/29 03:08:35 - mmengine - INFO - Epoch(train) [89][3440/3757] lr: 1.000e-04 eta: 3:04:39 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 9.5243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2782 loss: 1.2782 2022/06/29 03:08:40 - mmengine - INFO - Epoch(train) [89][3460/3757] lr: 1.000e-04 eta: 3:04:34 time: 0.223 data_time: 0.039 memory: 5150 grad_norm: 9.6954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2604 loss: 1.2604 2022/06/29 03:08:46 - mmengine - INFO - Epoch(train) [89][3480/3757] lr: 1.000e-04 eta: 3:04:29 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 7.1055 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8459 loss: 0.8459 2022/06/29 03:08:50 - mmengine - INFO - Epoch(train) [89][3500/3757] lr: 1.000e-04 eta: 3:04:23 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.9529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3364 loss: 1.3364 2022/06/29 03:08:56 - mmengine - INFO - Epoch(train) [89][3520/3757] lr: 1.000e-04 eta: 3:04:18 time: 0.205 data_time: 0.024 memory: 5150 grad_norm: 9.7957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/06/29 03:09:01 - mmengine - INFO - Epoch(train) [89][3540/3757] lr: 1.000e-04 eta: 3:04:13 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 10.2017 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1656 loss: 1.1656 2022/06/29 03:09:07 - mmengine - INFO - Epoch(train) [89][3560/3757] lr: 1.000e-04 eta: 3:04:07 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.7980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8916 loss: 0.8916 2022/06/29 03:09:12 - mmengine - INFO - Epoch(train) [89][3580/3757] lr: 1.000e-04 eta: 3:04:02 time: 0.212 data_time: 0.035 memory: 5150 grad_norm: 10.2298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1028 loss: 1.1028 2022/06/29 03:09:18 - mmengine - INFO - Epoch(train) [89][3600/3757] lr: 1.000e-04 eta: 3:03:57 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.9809 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0308 loss: 1.0308 2022/06/29 03:09:23 - mmengine - INFO - Epoch(train) [89][3620/3757] lr: 1.000e-04 eta: 3:03:51 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.7827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3342 loss: 1.3342 2022/06/29 03:09:28 - mmengine - INFO - Epoch(train) [89][3640/3757] lr: 1.000e-04 eta: 3:03:46 time: 0.214 data_time: 0.036 memory: 5150 grad_norm: 8.4246 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1868 loss: 1.1868 2022/06/29 03:09:33 - mmengine - INFO - Epoch(train) [89][3660/3757] lr: 1.000e-04 eta: 3:03:41 time: 0.239 data_time: 0.014 memory: 5150 grad_norm: 10.5365 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/06/29 03:09:38 - mmengine - INFO - Epoch(train) [89][3680/3757] lr: 1.000e-04 eta: 3:03:35 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 7.8766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/06/29 03:09:45 - mmengine - INFO - Epoch(train) [89][3700/3757] lr: 1.000e-04 eta: 3:03:30 time: 0.208 data_time: 0.031 memory: 5150 grad_norm: 7.7684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0588 loss: 1.0588 2022/06/29 03:09:50 - mmengine - INFO - Epoch(train) [89][3720/3757] lr: 1.000e-04 eta: 3:03:25 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 9.8904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8329 loss: 0.8329 2022/06/29 03:09:55 - mmengine - INFO - Epoch(train) [89][3740/3757] lr: 1.000e-04 eta: 3:03:19 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.3284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0812 loss: 1.0812 2022/06/29 03:09:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:10:31 - mmengine - INFO - Epoch(val) [89][20/310] eta: 0:05:38 time: 1.101 data_time: 0.433 memory: 9746 2022/06/29 03:10:53 - mmengine - INFO - Epoch(val) [89][40/310] eta: 0:04:48 time: 1.032 data_time: 0.395 memory: 9746 2022/06/29 03:11:17 - mmengine - INFO - Epoch(val) [89][60/310] eta: 0:04:15 time: 1.110 data_time: 0.459 memory: 9746 2022/06/29 03:11:40 - mmengine - INFO - Epoch(val) [89][80/310] eta: 0:04:34 time: 0.915 data_time: 0.298 memory: 9746 2022/06/29 03:12:04 - mmengine - INFO - Epoch(val) [89][100/310] eta: 0:04:11 time: 2.270 data_time: 1.607 memory: 9746 2022/06/29 03:12:24 - mmengine - INFO - Epoch(val) [89][120/310] eta: 0:03:16 time: 1.093 data_time: 0.444 memory: 9746 2022/06/29 03:12:49 - mmengine - INFO - Epoch(val) [89][140/310] eta: 0:03:24 time: 1.034 data_time: 0.406 memory: 9746 2022/06/29 03:13:14 - mmengine - INFO - Epoch(val) [89][160/310] eta: 0:03:15 time: 3.195 data_time: 2.511 memory: 9746 2022/06/29 03:13:37 - mmengine - INFO - Epoch(val) [89][180/310] eta: 0:02:48 time: 1.031 data_time: 0.401 memory: 9746 2022/06/29 03:14:00 - mmengine - INFO - Epoch(val) [89][200/310] eta: 0:02:07 time: 1.087 data_time: 0.448 memory: 9746 2022/06/29 03:14:22 - mmengine - INFO - Epoch(val) [89][220/310] eta: 0:01:38 time: 1.118 data_time: 0.482 memory: 9746 2022/06/29 03:14:43 - mmengine - INFO - Epoch(val) [89][240/310] eta: 0:01:12 time: 1.017 data_time: 0.363 memory: 9746 2022/06/29 03:15:05 - mmengine - INFO - Epoch(val) [89][260/310] eta: 0:01:00 time: 1.186 data_time: 0.535 memory: 9746 2022/06/29 03:15:28 - mmengine - INFO - Epoch(val) [89][280/310] eta: 0:00:35 time: 2.054 data_time: 1.402 memory: 9746 2022/06/29 03:15:48 - mmengine - INFO - Epoch(val) [89][300/310] eta: 0:00:09 time: 0.654 data_time: 0.081 memory: 9746 2022/06/29 03:16:01 - mmengine - INFO - Epoch(val) [89][310/310] acc/top1: 0.7216 acc/top5: 0.9041 acc/mean1: 0.7215 2022/06/29 03:16:09 - mmengine - INFO - Epoch(train) [90][20/3757] lr: 1.000e-04 eta: 3:03:10 time: 0.195 data_time: 0.008 memory: 9746 grad_norm: 9.1936 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9587 loss: 0.9587 2022/06/29 03:16:15 - mmengine - INFO - Epoch(train) [90][40/3757] lr: 1.000e-04 eta: 3:03:04 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.1818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0874 loss: 1.0874 2022/06/29 03:16:20 - mmengine - INFO - Epoch(train) [90][60/3757] lr: 1.000e-04 eta: 3:02:59 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.9791 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3935 loss: 1.3935 2022/06/29 03:16:26 - mmengine - INFO - Epoch(train) [90][80/3757] lr: 1.000e-04 eta: 3:02:54 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.0731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0061 loss: 1.0061 2022/06/29 03:16:31 - mmengine - INFO - Epoch(train) [90][100/3757] lr: 1.000e-04 eta: 3:02:48 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.3021 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1223 loss: 1.1223 2022/06/29 03:16:36 - mmengine - INFO - Epoch(train) [90][120/3757] lr: 1.000e-04 eta: 3:02:43 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 8.9766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/06/29 03:16:42 - mmengine - INFO - Epoch(train) [90][140/3757] lr: 1.000e-04 eta: 3:02:38 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.4741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/06/29 03:16:48 - mmengine - INFO - Epoch(train) [90][160/3757] lr: 1.000e-04 eta: 3:02:33 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 9.7963 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.4518 loss: 1.4518 2022/06/29 03:16:52 - mmengine - INFO - Epoch(train) [90][180/3757] lr: 1.000e-04 eta: 3:02:27 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2250 loss: 1.2250 2022/06/29 03:16:58 - mmengine - INFO - Epoch(train) [90][200/3757] lr: 1.000e-04 eta: 3:02:22 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 9.9589 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0570 loss: 1.0570 2022/06/29 03:17:03 - mmengine - INFO - Epoch(train) [90][220/3757] lr: 1.000e-04 eta: 3:02:16 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 8.5960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0891 loss: 1.0891 2022/06/29 03:17:08 - mmengine - INFO - Epoch(train) [90][240/3757] lr: 1.000e-04 eta: 3:02:11 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.0443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5028 loss: 1.5028 2022/06/29 03:17:14 - mmengine - INFO - Epoch(train) [90][260/3757] lr: 1.000e-04 eta: 3:02:06 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 11.1148 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2668 loss: 1.2668 2022/06/29 03:17:19 - mmengine - INFO - Epoch(train) [90][280/3757] lr: 1.000e-04 eta: 3:02:01 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.3241 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5612 loss: 1.5612 2022/06/29 03:17:24 - mmengine - INFO - Epoch(train) [90][300/3757] lr: 1.000e-04 eta: 3:01:55 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1388 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/06/29 03:17:30 - mmengine - INFO - Epoch(train) [90][320/3757] lr: 1.000e-04 eta: 3:01:50 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5849 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9954 loss: 0.9954 2022/06/29 03:17:36 - mmengine - INFO - Epoch(train) [90][340/3757] lr: 1.000e-04 eta: 3:01:45 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 11.6663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/06/29 03:17:41 - mmengine - INFO - Epoch(train) [90][360/3757] lr: 1.000e-04 eta: 3:01:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8232 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0882 loss: 1.0882 2022/06/29 03:17:47 - mmengine - INFO - Epoch(train) [90][380/3757] lr: 1.000e-04 eta: 3:01:34 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.2800 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/06/29 03:17:52 - mmengine - INFO - Epoch(train) [90][400/3757] lr: 1.000e-04 eta: 3:01:29 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.1186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8936 loss: 0.8936 2022/06/29 03:17:57 - mmengine - INFO - Epoch(train) [90][420/3757] lr: 1.000e-04 eta: 3:01:23 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 8.2154 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/06/29 03:18:02 - mmengine - INFO - Epoch(train) [90][440/3757] lr: 1.000e-04 eta: 3:01:18 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.6337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8767 loss: 0.8767 2022/06/29 03:18:08 - mmengine - INFO - Epoch(train) [90][460/3757] lr: 1.000e-04 eta: 3:01:13 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.6702 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/06/29 03:18:12 - mmengine - INFO - Epoch(train) [90][480/3757] lr: 1.000e-04 eta: 3:01:07 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 8.7772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/06/29 03:18:18 - mmengine - INFO - Epoch(train) [90][500/3757] lr: 1.000e-04 eta: 3:01:02 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.5551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1237 loss: 1.1237 2022/06/29 03:18:23 - mmengine - INFO - Epoch(train) [90][520/3757] lr: 1.000e-04 eta: 3:00:57 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 10.1841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4662 loss: 1.4662 2022/06/29 03:18:28 - mmengine - INFO - Epoch(train) [90][540/3757] lr: 1.000e-04 eta: 3:00:51 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.6107 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1682 loss: 1.1682 2022/06/29 03:18:34 - mmengine - INFO - Epoch(train) [90][560/3757] lr: 1.000e-04 eta: 3:00:46 time: 0.261 data_time: 0.008 memory: 5150 grad_norm: 10.3177 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0011 loss: 1.0011 2022/06/29 03:18:39 - mmengine - INFO - Epoch(train) [90][580/3757] lr: 1.000e-04 eta: 3:00:41 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.3342 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1621 loss: 1.1621 2022/06/29 03:18:44 - mmengine - INFO - Epoch(train) [90][600/3757] lr: 1.000e-04 eta: 3:00:35 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.8436 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.6681 loss: 0.6681 2022/06/29 03:18:50 - mmengine - INFO - Epoch(train) [90][620/3757] lr: 1.000e-04 eta: 3:00:30 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.8462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2204 loss: 1.2204 2022/06/29 03:18:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:18:55 - mmengine - INFO - Epoch(train) [90][640/3757] lr: 1.000e-04 eta: 3:00:25 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.0007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3344 loss: 1.3344 2022/06/29 03:19:00 - mmengine - INFO - Epoch(train) [90][660/3757] lr: 1.000e-04 eta: 3:00:19 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.1420 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/06/29 03:19:06 - mmengine - INFO - Epoch(train) [90][680/3757] lr: 1.000e-04 eta: 3:00:14 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.3368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/06/29 03:19:11 - mmengine - INFO - Epoch(train) [90][700/3757] lr: 1.000e-04 eta: 3:00:09 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 8.9088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9834 loss: 0.9834 2022/06/29 03:19:17 - mmengine - INFO - Epoch(train) [90][720/3757] lr: 1.000e-04 eta: 3:00:03 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.3084 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3322 loss: 1.3322 2022/06/29 03:19:22 - mmengine - INFO - Epoch(train) [90][740/3757] lr: 1.000e-04 eta: 2:59:58 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 10.2121 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9904 loss: 0.9904 2022/06/29 03:19:27 - mmengine - INFO - Epoch(train) [90][760/3757] lr: 1.000e-04 eta: 2:59:53 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.6735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/06/29 03:19:33 - mmengine - INFO - Epoch(train) [90][780/3757] lr: 1.000e-04 eta: 2:59:47 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.4081 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2925 loss: 1.2925 2022/06/29 03:19:38 - mmengine - INFO - Epoch(train) [90][800/3757] lr: 1.000e-04 eta: 2:59:42 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 11.3615 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0207 loss: 1.0207 2022/06/29 03:19:43 - mmengine - INFO - Epoch(train) [90][820/3757] lr: 1.000e-04 eta: 2:59:37 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.5949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4232 loss: 1.4232 2022/06/29 03:19:50 - mmengine - INFO - Epoch(train) [90][840/3757] lr: 1.000e-04 eta: 2:59:32 time: 0.237 data_time: 0.007 memory: 5150 grad_norm: 9.0491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/06/29 03:19:54 - mmengine - INFO - Epoch(train) [90][860/3757] lr: 1.000e-04 eta: 2:59:26 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 7.4313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/06/29 03:20:00 - mmengine - INFO - Epoch(train) [90][880/3757] lr: 1.000e-04 eta: 2:59:21 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.5552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/06/29 03:20:05 - mmengine - INFO - Epoch(train) [90][900/3757] lr: 1.000e-04 eta: 2:59:16 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 10.5564 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1452 loss: 1.1452 2022/06/29 03:20:11 - mmengine - INFO - Epoch(train) [90][920/3757] lr: 1.000e-04 eta: 2:59:10 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.6772 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9299 loss: 0.9299 2022/06/29 03:20:16 - mmengine - INFO - Epoch(train) [90][940/3757] lr: 1.000e-04 eta: 2:59:05 time: 0.217 data_time: 0.011 memory: 5150 grad_norm: 8.9289 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2911 loss: 1.2911 2022/06/29 03:20:21 - mmengine - INFO - Epoch(train) [90][960/3757] lr: 1.000e-04 eta: 2:59:00 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 7.8858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2812 loss: 1.2812 2022/06/29 03:20:27 - mmengine - INFO - Epoch(train) [90][980/3757] lr: 1.000e-04 eta: 2:58:54 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.7550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7288 loss: 0.7288 2022/06/29 03:20:32 - mmengine - INFO - Epoch(train) [90][1000/3757] lr: 1.000e-04 eta: 2:58:49 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 8.6759 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5999 loss: 1.5999 2022/06/29 03:20:37 - mmengine - INFO - Epoch(train) [90][1020/3757] lr: 1.000e-04 eta: 2:58:44 time: 0.217 data_time: 0.015 memory: 5150 grad_norm: 10.7193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/06/29 03:20:41 - mmengine - INFO - Epoch(train) [90][1040/3757] lr: 1.000e-04 eta: 2:58:38 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.2723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1573 loss: 1.1573 2022/06/29 03:20:47 - mmengine - INFO - Epoch(train) [90][1060/3757] lr: 1.000e-04 eta: 2:58:33 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 8.6274 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1887 loss: 1.1887 2022/06/29 03:20:52 - mmengine - INFO - Epoch(train) [90][1080/3757] lr: 1.000e-04 eta: 2:58:28 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 7.9085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2826 loss: 1.2826 2022/06/29 03:20:58 - mmengine - INFO - Epoch(train) [90][1100/3757] lr: 1.000e-04 eta: 2:58:22 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.2720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/06/29 03:21:03 - mmengine - INFO - Epoch(train) [90][1120/3757] lr: 1.000e-04 eta: 2:58:17 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.8529 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1190 loss: 1.1190 2022/06/29 03:21:09 - mmengine - INFO - Epoch(train) [90][1140/3757] lr: 1.000e-04 eta: 2:58:12 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 7.4771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/06/29 03:21:14 - mmengine - INFO - Epoch(train) [90][1160/3757] lr: 1.000e-04 eta: 2:58:06 time: 0.225 data_time: 0.028 memory: 5150 grad_norm: 10.2672 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1843 loss: 1.1843 2022/06/29 03:21:19 - mmengine - INFO - Epoch(train) [90][1180/3757] lr: 1.000e-04 eta: 2:58:01 time: 0.280 data_time: 0.008 memory: 5150 grad_norm: 8.0802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1203 loss: 1.1203 2022/06/29 03:21:25 - mmengine - INFO - Epoch(train) [90][1200/3757] lr: 1.000e-04 eta: 2:57:56 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 11.2701 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0004 loss: 1.0004 2022/06/29 03:21:29 - mmengine - INFO - Epoch(train) [90][1220/3757] lr: 1.000e-04 eta: 2:57:50 time: 0.213 data_time: 0.021 memory: 5150 grad_norm: 9.4850 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1755 loss: 1.1755 2022/06/29 03:21:35 - mmengine - INFO - Epoch(train) [90][1240/3757] lr: 1.000e-04 eta: 2:57:45 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.7606 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1085 loss: 1.1085 2022/06/29 03:21:41 - mmengine - INFO - Epoch(train) [90][1260/3757] lr: 1.000e-04 eta: 2:57:40 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.7351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1539 loss: 1.1539 2022/06/29 03:21:46 - mmengine - INFO - Epoch(train) [90][1280/3757] lr: 1.000e-04 eta: 2:57:34 time: 0.202 data_time: 0.022 memory: 5150 grad_norm: 10.5030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9742 loss: 0.9742 2022/06/29 03:21:51 - mmengine - INFO - Epoch(train) [90][1300/3757] lr: 1.000e-04 eta: 2:57:29 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 9.1803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9247 loss: 0.9247 2022/06/29 03:21:57 - mmengine - INFO - Epoch(train) [90][1320/3757] lr: 1.000e-04 eta: 2:57:24 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 7.4350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/06/29 03:22:02 - mmengine - INFO - Epoch(train) [90][1340/3757] lr: 1.000e-04 eta: 2:57:18 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 10.9599 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2351 loss: 1.2351 2022/06/29 03:22:08 - mmengine - INFO - Epoch(train) [90][1360/3757] lr: 1.000e-04 eta: 2:57:13 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 8.8616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2533 loss: 1.2533 2022/06/29 03:22:14 - mmengine - INFO - Epoch(train) [90][1380/3757] lr: 1.000e-04 eta: 2:57:08 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.9868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0872 loss: 1.0872 2022/06/29 03:22:18 - mmengine - INFO - Epoch(train) [90][1400/3757] lr: 1.000e-04 eta: 2:57:03 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 8.7602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0391 loss: 1.0391 2022/06/29 03:22:23 - mmengine - INFO - Epoch(train) [90][1420/3757] lr: 1.000e-04 eta: 2:56:57 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 9.0174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5978 loss: 1.5978 2022/06/29 03:22:29 - mmengine - INFO - Epoch(train) [90][1440/3757] lr: 1.000e-04 eta: 2:56:52 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.7359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2791 loss: 1.2791 2022/06/29 03:22:34 - mmengine - INFO - Epoch(train) [90][1460/3757] lr: 1.000e-04 eta: 2:56:46 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 11.2576 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/06/29 03:22:39 - mmengine - INFO - Epoch(train) [90][1480/3757] lr: 1.000e-04 eta: 2:56:41 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.0595 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0065 loss: 1.0065 2022/06/29 03:22:45 - mmengine - INFO - Epoch(train) [90][1500/3757] lr: 1.000e-04 eta: 2:56:36 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.4141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1080 loss: 1.1080 2022/06/29 03:22:50 - mmengine - INFO - Epoch(train) [90][1520/3757] lr: 1.000e-04 eta: 2:56:31 time: 0.206 data_time: 0.023 memory: 5150 grad_norm: 9.8579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9525 loss: 0.9525 2022/06/29 03:22:56 - mmengine - INFO - Epoch(train) [90][1540/3757] lr: 1.000e-04 eta: 2:56:25 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 9.0567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/06/29 03:23:01 - mmengine - INFO - Epoch(train) [90][1560/3757] lr: 1.000e-04 eta: 2:56:20 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1418 loss: 1.1418 2022/06/29 03:23:06 - mmengine - INFO - Epoch(train) [90][1580/3757] lr: 1.000e-04 eta: 2:56:15 time: 0.198 data_time: 0.015 memory: 5150 grad_norm: 9.4253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2779 loss: 1.2779 2022/06/29 03:23:12 - mmengine - INFO - Epoch(train) [90][1600/3757] lr: 1.000e-04 eta: 2:56:09 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0203 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1295 loss: 1.1295 2022/06/29 03:23:18 - mmengine - INFO - Epoch(train) [90][1620/3757] lr: 1.000e-04 eta: 2:56:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.9787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1516 loss: 1.1516 2022/06/29 03:23:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:23:22 - mmengine - INFO - Epoch(train) [90][1640/3757] lr: 1.000e-04 eta: 2:55:59 time: 0.214 data_time: 0.024 memory: 5150 grad_norm: 7.8561 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1703 loss: 1.1703 2022/06/29 03:23:28 - mmengine - INFO - Epoch(train) [90][1660/3757] lr: 1.000e-04 eta: 2:55:53 time: 0.222 data_time: 0.014 memory: 5150 grad_norm: 6.7150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9610 loss: 0.9610 2022/06/29 03:23:33 - mmengine - INFO - Epoch(train) [90][1680/3757] lr: 1.000e-04 eta: 2:55:48 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.5659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1361 loss: 1.1361 2022/06/29 03:23:39 - mmengine - INFO - Epoch(train) [90][1700/3757] lr: 1.000e-04 eta: 2:55:43 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4383 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2579 loss: 1.2579 2022/06/29 03:23:44 - mmengine - INFO - Epoch(train) [90][1720/3757] lr: 1.000e-04 eta: 2:55:37 time: 0.206 data_time: 0.015 memory: 5150 grad_norm: 8.9600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/06/29 03:23:49 - mmengine - INFO - Epoch(train) [90][1740/3757] lr: 1.000e-04 eta: 2:55:32 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 9.6951 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9768 loss: 0.9768 2022/06/29 03:23:54 - mmengine - INFO - Epoch(train) [90][1760/3757] lr: 1.000e-04 eta: 2:55:27 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 11.7269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5880 loss: 1.5880 2022/06/29 03:24:00 - mmengine - INFO - Epoch(train) [90][1780/3757] lr: 1.000e-04 eta: 2:55:21 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 8.9956 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/06/29 03:24:05 - mmengine - INFO - Epoch(train) [90][1800/3757] lr: 1.000e-04 eta: 2:55:16 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.3062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/06/29 03:24:10 - mmengine - INFO - Epoch(train) [90][1820/3757] lr: 1.000e-04 eta: 2:55:11 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.5784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1887 loss: 1.1887 2022/06/29 03:24:16 - mmengine - INFO - Epoch(train) [90][1840/3757] lr: 1.000e-04 eta: 2:55:05 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.2901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2877 loss: 1.2877 2022/06/29 03:24:22 - mmengine - INFO - Epoch(train) [90][1860/3757] lr: 1.000e-04 eta: 2:55:00 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 7.9400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4811 loss: 1.4811 2022/06/29 03:24:27 - mmengine - INFO - Epoch(train) [90][1880/3757] lr: 1.000e-04 eta: 2:54:55 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.0425 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1104 loss: 1.1104 2022/06/29 03:24:32 - mmengine - INFO - Epoch(train) [90][1900/3757] lr: 1.000e-04 eta: 2:54:49 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.9358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4579 loss: 1.4579 2022/06/29 03:24:38 - mmengine - INFO - Epoch(train) [90][1920/3757] lr: 1.000e-04 eta: 2:54:44 time: 0.211 data_time: 0.022 memory: 5150 grad_norm: 8.7111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1518 loss: 1.1518 2022/06/29 03:24:42 - mmengine - INFO - Epoch(train) [90][1940/3757] lr: 1.000e-04 eta: 2:54:39 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 10.2412 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0472 loss: 1.0472 2022/06/29 03:24:48 - mmengine - INFO - Epoch(train) [90][1960/3757] lr: 1.000e-04 eta: 2:54:34 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.5834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2328 loss: 1.2328 2022/06/29 03:24:54 - mmengine - INFO - Epoch(train) [90][1980/3757] lr: 1.000e-04 eta: 2:54:28 time: 0.246 data_time: 0.019 memory: 5150 grad_norm: 7.7634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7341 loss: 0.7341 2022/06/29 03:24:59 - mmengine - INFO - Epoch(train) [90][2000/3757] lr: 1.000e-04 eta: 2:54:23 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 8.7851 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8672 loss: 0.8672 2022/06/29 03:25:05 - mmengine - INFO - Epoch(train) [90][2020/3757] lr: 1.000e-04 eta: 2:54:18 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.1512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9769 loss: 0.9769 2022/06/29 03:25:10 - mmengine - INFO - Epoch(train) [90][2040/3757] lr: 1.000e-04 eta: 2:54:12 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 9.8386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2481 loss: 1.2481 2022/06/29 03:25:15 - mmengine - INFO - Epoch(train) [90][2060/3757] lr: 1.000e-04 eta: 2:54:07 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.8580 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0654 loss: 1.0654 2022/06/29 03:25:20 - mmengine - INFO - Epoch(train) [90][2080/3757] lr: 1.000e-04 eta: 2:54:02 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 11.0779 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/06/29 03:25:26 - mmengine - INFO - Epoch(train) [90][2100/3757] lr: 1.000e-04 eta: 2:53:56 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.9637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3313 loss: 1.3313 2022/06/29 03:25:31 - mmengine - INFO - Epoch(train) [90][2120/3757] lr: 1.000e-04 eta: 2:53:51 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 10.7781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7393 loss: 0.7393 2022/06/29 03:25:36 - mmengine - INFO - Epoch(train) [90][2140/3757] lr: 1.000e-04 eta: 2:53:46 time: 0.212 data_time: 0.013 memory: 5150 grad_norm: 7.5501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1522 loss: 1.1522 2022/06/29 03:25:41 - mmengine - INFO - Epoch(train) [90][2160/3757] lr: 1.000e-04 eta: 2:53:40 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.7048 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/06/29 03:25:46 - mmengine - INFO - Epoch(train) [90][2180/3757] lr: 1.000e-04 eta: 2:53:35 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.6412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1010 loss: 1.1010 2022/06/29 03:25:51 - mmengine - INFO - Epoch(train) [90][2200/3757] lr: 1.000e-04 eta: 2:53:30 time: 0.209 data_time: 0.020 memory: 5150 grad_norm: 9.7016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1609 loss: 1.1609 2022/06/29 03:25:56 - mmengine - INFO - Epoch(train) [90][2220/3757] lr: 1.000e-04 eta: 2:53:24 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.9295 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1136 loss: 1.1136 2022/06/29 03:26:02 - mmengine - INFO - Epoch(train) [90][2240/3757] lr: 1.000e-04 eta: 2:53:19 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.8221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/06/29 03:26:07 - mmengine - INFO - Epoch(train) [90][2260/3757] lr: 1.000e-04 eta: 2:53:14 time: 0.841 data_time: 0.022 memory: 5150 grad_norm: 9.5650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0348 loss: 1.0348 2022/06/29 03:26:12 - mmengine - INFO - Epoch(train) [90][2280/3757] lr: 1.000e-04 eta: 2:53:08 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.1423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1348 loss: 1.1348 2022/06/29 03:26:18 - mmengine - INFO - Epoch(train) [90][2300/3757] lr: 1.000e-04 eta: 2:53:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5794 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4956 loss: 1.4956 2022/06/29 03:26:23 - mmengine - INFO - Epoch(train) [90][2320/3757] lr: 1.000e-04 eta: 2:52:58 time: 0.974 data_time: 0.014 memory: 5150 grad_norm: 9.2479 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1617 loss: 1.1617 2022/06/29 03:26:28 - mmengine - INFO - Epoch(train) [90][2340/3757] lr: 1.000e-04 eta: 2:52:52 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 8.7365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1486 loss: 1.1486 2022/06/29 03:26:34 - mmengine - INFO - Epoch(train) [90][2360/3757] lr: 1.000e-04 eta: 2:52:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.4344 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0087 loss: 1.0087 2022/06/29 03:26:39 - mmengine - INFO - Epoch(train) [90][2380/3757] lr: 1.000e-04 eta: 2:52:42 time: 0.664 data_time: 0.008 memory: 5150 grad_norm: 8.1327 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7994 loss: 0.7994 2022/06/29 03:26:44 - mmengine - INFO - Epoch(train) [90][2400/3757] lr: 1.000e-04 eta: 2:52:36 time: 0.239 data_time: 0.007 memory: 5150 grad_norm: 8.1329 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9756 loss: 0.9756 2022/06/29 03:26:50 - mmengine - INFO - Epoch(train) [90][2420/3757] lr: 1.000e-04 eta: 2:52:31 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 10.3658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0320 loss: 1.0320 2022/06/29 03:26:55 - mmengine - INFO - Epoch(train) [90][2440/3757] lr: 1.000e-04 eta: 2:52:26 time: 0.742 data_time: 0.012 memory: 5150 grad_norm: 7.9544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0637 loss: 1.0637 2022/06/29 03:27:00 - mmengine - INFO - Epoch(train) [90][2460/3757] lr: 1.000e-04 eta: 2:52:20 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.4803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3318 loss: 1.3318 2022/06/29 03:27:05 - mmengine - INFO - Epoch(train) [90][2480/3757] lr: 1.000e-04 eta: 2:52:15 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 8.9162 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8579 loss: 0.8579 2022/06/29 03:27:10 - mmengine - INFO - Epoch(train) [90][2500/3757] lr: 1.000e-04 eta: 2:52:10 time: 0.507 data_time: 0.008 memory: 5150 grad_norm: 7.9988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1244 loss: 1.1244 2022/06/29 03:27:15 - mmengine - INFO - Epoch(train) [90][2520/3757] lr: 1.000e-04 eta: 2:52:04 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.2792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/06/29 03:27:21 - mmengine - INFO - Epoch(train) [90][2540/3757] lr: 1.000e-04 eta: 2:51:59 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 10.6617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8763 loss: 0.8763 2022/06/29 03:27:26 - mmengine - INFO - Epoch(train) [90][2560/3757] lr: 1.000e-04 eta: 2:51:54 time: 0.544 data_time: 0.009 memory: 5150 grad_norm: 9.0702 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/06/29 03:27:31 - mmengine - INFO - Epoch(train) [90][2580/3757] lr: 1.000e-04 eta: 2:51:48 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.4810 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9439 loss: 0.9439 2022/06/29 03:27:37 - mmengine - INFO - Epoch(train) [90][2600/3757] lr: 1.000e-04 eta: 2:51:43 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.4566 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2121 loss: 1.2121 2022/06/29 03:27:42 - mmengine - INFO - Epoch(train) [90][2620/3757] lr: 1.000e-04 eta: 2:51:38 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 9.1489 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/06/29 03:27:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:27:47 - mmengine - INFO - Epoch(train) [90][2640/3757] lr: 1.000e-04 eta: 2:51:32 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 8.5492 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1541 loss: 1.1541 2022/06/29 03:27:52 - mmengine - INFO - Epoch(train) [90][2660/3757] lr: 1.000e-04 eta: 2:51:27 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.9757 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9615 loss: 0.9615 2022/06/29 03:27:58 - mmengine - INFO - Epoch(train) [90][2680/3757] lr: 1.000e-04 eta: 2:51:22 time: 0.240 data_time: 0.008 memory: 5150 grad_norm: 7.9543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3693 loss: 1.3693 2022/06/29 03:28:03 - mmengine - INFO - Epoch(train) [90][2700/3757] lr: 1.000e-04 eta: 2:51:16 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.9125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1348 loss: 1.1348 2022/06/29 03:28:08 - mmengine - INFO - Epoch(train) [90][2720/3757] lr: 1.000e-04 eta: 2:51:11 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.2081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/06/29 03:28:13 - mmengine - INFO - Epoch(train) [90][2740/3757] lr: 1.000e-04 eta: 2:51:06 time: 0.213 data_time: 0.010 memory: 5150 grad_norm: 11.8684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9604 loss: 0.9604 2022/06/29 03:28:19 - mmengine - INFO - Epoch(train) [90][2760/3757] lr: 1.000e-04 eta: 2:51:00 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 10.1825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1698 loss: 1.1698 2022/06/29 03:28:24 - mmengine - INFO - Epoch(train) [90][2780/3757] lr: 1.000e-04 eta: 2:50:55 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.3085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0067 loss: 1.0067 2022/06/29 03:28:29 - mmengine - INFO - Epoch(train) [90][2800/3757] lr: 1.000e-04 eta: 2:50:50 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.8571 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 0.9879 loss: 0.9879 2022/06/29 03:28:35 - mmengine - INFO - Epoch(train) [90][2820/3757] lr: 1.000e-04 eta: 2:50:44 time: 0.265 data_time: 0.015 memory: 5150 grad_norm: 9.0270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2190 loss: 1.2190 2022/06/29 03:28:40 - mmengine - INFO - Epoch(train) [90][2840/3757] lr: 1.000e-04 eta: 2:50:39 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 8.7068 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2345 loss: 1.2345 2022/06/29 03:28:46 - mmengine - INFO - Epoch(train) [90][2860/3757] lr: 1.000e-04 eta: 2:50:34 time: 0.230 data_time: 0.008 memory: 5150 grad_norm: 7.6560 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8542 loss: 0.8542 2022/06/29 03:28:51 - mmengine - INFO - Epoch(train) [90][2880/3757] lr: 1.000e-04 eta: 2:50:28 time: 0.212 data_time: 0.021 memory: 5150 grad_norm: 9.3433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2149 loss: 1.2149 2022/06/29 03:28:56 - mmengine - INFO - Epoch(train) [90][2900/3757] lr: 1.000e-04 eta: 2:50:23 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.8628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/06/29 03:29:01 - mmengine - INFO - Epoch(train) [90][2920/3757] lr: 1.000e-04 eta: 2:50:18 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 7.7888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/06/29 03:29:08 - mmengine - INFO - Epoch(train) [90][2940/3757] lr: 1.000e-04 eta: 2:50:13 time: 0.246 data_time: 0.008 memory: 5150 grad_norm: 7.9428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3062 loss: 1.3062 2022/06/29 03:29:12 - mmengine - INFO - Epoch(train) [90][2960/3757] lr: 1.000e-04 eta: 2:50:07 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.0856 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3070 loss: 1.3070 2022/06/29 03:29:17 - mmengine - INFO - Epoch(train) [90][2980/3757] lr: 1.000e-04 eta: 2:50:02 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.5086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7309 loss: 0.7309 2022/06/29 03:29:23 - mmengine - INFO - Epoch(train) [90][3000/3757] lr: 1.000e-04 eta: 2:49:57 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.0349 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2895 loss: 1.2895 2022/06/29 03:29:28 - mmengine - INFO - Epoch(train) [90][3020/3757] lr: 1.000e-04 eta: 2:49:51 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.3973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8683 loss: 0.8683 2022/06/29 03:29:34 - mmengine - INFO - Epoch(train) [90][3040/3757] lr: 1.000e-04 eta: 2:49:46 time: 0.608 data_time: 0.008 memory: 5150 grad_norm: 9.9263 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/06/29 03:29:39 - mmengine - INFO - Epoch(train) [90][3060/3757] lr: 1.000e-04 eta: 2:49:41 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.7347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9589 loss: 0.9589 2022/06/29 03:29:44 - mmengine - INFO - Epoch(train) [90][3080/3757] lr: 1.000e-04 eta: 2:49:35 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.5796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1403 loss: 1.1403 2022/06/29 03:29:50 - mmengine - INFO - Epoch(train) [90][3100/3757] lr: 1.000e-04 eta: 2:49:30 time: 0.417 data_time: 0.007 memory: 5150 grad_norm: 8.9106 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9699 loss: 0.9699 2022/06/29 03:29:55 - mmengine - INFO - Epoch(train) [90][3120/3757] lr: 1.000e-04 eta: 2:49:25 time: 0.204 data_time: 0.023 memory: 5150 grad_norm: 8.2556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2000 loss: 1.2000 2022/06/29 03:30:00 - mmengine - INFO - Epoch(train) [90][3140/3757] lr: 1.000e-04 eta: 2:49:19 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.3379 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0977 loss: 1.0977 2022/06/29 03:30:06 - mmengine - INFO - Epoch(train) [90][3160/3757] lr: 1.000e-04 eta: 2:49:14 time: 1.129 data_time: 0.007 memory: 5150 grad_norm: 9.5042 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1584 loss: 1.1584 2022/06/29 03:30:11 - mmengine - INFO - Epoch(train) [90][3180/3757] lr: 1.000e-04 eta: 2:49:09 time: 0.216 data_time: 0.020 memory: 5150 grad_norm: 10.0101 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1491 loss: 1.1491 2022/06/29 03:30:16 - mmengine - INFO - Epoch(train) [90][3200/3757] lr: 1.000e-04 eta: 2:49:03 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.9305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/06/29 03:30:22 - mmengine - INFO - Epoch(train) [90][3220/3757] lr: 1.000e-04 eta: 2:48:58 time: 0.480 data_time: 0.010 memory: 5150 grad_norm: 10.5452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2386 loss: 1.2386 2022/06/29 03:30:28 - mmengine - INFO - Epoch(train) [90][3240/3757] lr: 1.000e-04 eta: 2:48:53 time: 0.205 data_time: 0.031 memory: 5150 grad_norm: 9.0810 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4537 loss: 1.4537 2022/06/29 03:30:33 - mmengine - INFO - Epoch(train) [90][3260/3757] lr: 1.000e-04 eta: 2:48:47 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 10.0023 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2766 loss: 1.2766 2022/06/29 03:30:38 - mmengine - INFO - Epoch(train) [90][3280/3757] lr: 1.000e-04 eta: 2:48:42 time: 1.134 data_time: 0.009 memory: 5150 grad_norm: 11.0080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3803 loss: 1.3803 2022/06/29 03:30:43 - mmengine - INFO - Epoch(train) [90][3300/3757] lr: 1.000e-04 eta: 2:48:37 time: 0.207 data_time: 0.023 memory: 5150 grad_norm: 9.5760 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0363 loss: 1.0363 2022/06/29 03:30:49 - mmengine - INFO - Epoch(train) [90][3320/3757] lr: 1.000e-04 eta: 2:48:31 time: 0.243 data_time: 0.007 memory: 5150 grad_norm: 9.1063 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/06/29 03:30:54 - mmengine - INFO - Epoch(train) [90][3340/3757] lr: 1.000e-04 eta: 2:48:26 time: 0.667 data_time: 0.007 memory: 5150 grad_norm: 8.9620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3345 loss: 1.3345 2022/06/29 03:30:59 - mmengine - INFO - Epoch(train) [90][3360/3757] lr: 1.000e-04 eta: 2:48:21 time: 0.197 data_time: 0.016 memory: 5150 grad_norm: 11.2687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9807 loss: 0.9807 2022/06/29 03:31:05 - mmengine - INFO - Epoch(train) [90][3380/3757] lr: 1.000e-04 eta: 2:48:15 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.3474 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1180 loss: 1.1180 2022/06/29 03:31:10 - mmengine - INFO - Epoch(train) [90][3400/3757] lr: 1.000e-04 eta: 2:48:10 time: 0.700 data_time: 0.011 memory: 5150 grad_norm: 10.4385 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2115 loss: 1.2115 2022/06/29 03:31:15 - mmengine - INFO - Epoch(train) [90][3420/3757] lr: 1.000e-04 eta: 2:48:05 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 9.2941 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1245 loss: 1.1245 2022/06/29 03:31:21 - mmengine - INFO - Epoch(train) [90][3440/3757] lr: 1.000e-04 eta: 2:47:59 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.0854 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/06/29 03:31:26 - mmengine - INFO - Epoch(train) [90][3460/3757] lr: 1.000e-04 eta: 2:47:54 time: 1.021 data_time: 0.011 memory: 5150 grad_norm: 9.0901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1267 loss: 1.1267 2022/06/29 03:31:31 - mmengine - INFO - Epoch(train) [90][3480/3757] lr: 1.000e-04 eta: 2:47:49 time: 0.209 data_time: 0.023 memory: 5150 grad_norm: 10.3977 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9551 loss: 0.9551 2022/06/29 03:31:37 - mmengine - INFO - Epoch(train) [90][3500/3757] lr: 1.000e-04 eta: 2:47:43 time: 0.205 data_time: 0.010 memory: 5150 grad_norm: 9.3283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2148 loss: 1.2148 2022/06/29 03:31:42 - mmengine - INFO - Epoch(train) [90][3520/3757] lr: 1.000e-04 eta: 2:47:38 time: 0.955 data_time: 0.013 memory: 5150 grad_norm: 9.7911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/06/29 03:31:47 - mmengine - INFO - Epoch(train) [90][3540/3757] lr: 1.000e-04 eta: 2:47:33 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 11.0215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9373 loss: 0.9373 2022/06/29 03:31:52 - mmengine - INFO - Epoch(train) [90][3560/3757] lr: 1.000e-04 eta: 2:47:27 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 9.3499 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/06/29 03:31:58 - mmengine - INFO - Epoch(train) [90][3580/3757] lr: 1.000e-04 eta: 2:47:22 time: 0.592 data_time: 0.011 memory: 5150 grad_norm: 9.9820 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2317 loss: 1.2317 2022/06/29 03:32:02 - mmengine - INFO - Epoch(train) [90][3600/3757] lr: 1.000e-04 eta: 2:47:17 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 8.3299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7262 loss: 0.7262 2022/06/29 03:32:08 - mmengine - INFO - Epoch(train) [90][3620/3757] lr: 1.000e-04 eta: 2:47:11 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 9.1120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4260 loss: 1.4260 2022/06/29 03:32:09 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:32:14 - mmengine - INFO - Epoch(train) [90][3640/3757] lr: 1.000e-04 eta: 2:47:06 time: 1.197 data_time: 0.012 memory: 5150 grad_norm: 8.9019 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/06/29 03:32:19 - mmengine - INFO - Epoch(train) [90][3660/3757] lr: 1.000e-04 eta: 2:47:01 time: 0.212 data_time: 0.020 memory: 5150 grad_norm: 7.4899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/06/29 03:32:24 - mmengine - INFO - Epoch(train) [90][3680/3757] lr: 1.000e-04 eta: 2:46:56 time: 0.208 data_time: 0.013 memory: 5150 grad_norm: 7.7161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0844 loss: 1.0844 2022/06/29 03:32:30 - mmengine - INFO - Epoch(train) [90][3700/3757] lr: 1.000e-04 eta: 2:46:50 time: 0.834 data_time: 0.021 memory: 5150 grad_norm: 8.4074 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3094 loss: 1.3094 2022/06/29 03:32:35 - mmengine - INFO - Epoch(train) [90][3720/3757] lr: 1.000e-04 eta: 2:46:45 time: 0.227 data_time: 0.008 memory: 5150 grad_norm: 9.1427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1840 loss: 1.1840 2022/06/29 03:32:40 - mmengine - INFO - Epoch(train) [90][3740/3757] lr: 1.000e-04 eta: 2:46:40 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 8.7167 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/06/29 03:32:44 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:32:44 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/06/29 03:33:19 - mmengine - INFO - Epoch(val) [90][20/310] eta: 0:05:44 time: 0.997 data_time: 0.326 memory: 9746 2022/06/29 03:33:40 - mmengine - INFO - Epoch(val) [90][40/310] eta: 0:04:51 time: 1.063 data_time: 0.395 memory: 9746 2022/06/29 03:34:05 - mmengine - INFO - Epoch(val) [90][60/310] eta: 0:04:30 time: 1.100 data_time: 0.430 memory: 9746 2022/06/29 03:34:28 - mmengine - INFO - Epoch(val) [90][80/310] eta: 0:04:29 time: 1.101 data_time: 0.440 memory: 9746 2022/06/29 03:34:51 - mmengine - INFO - Epoch(val) [90][100/310] eta: 0:04:11 time: 2.417 data_time: 1.745 memory: 9746 2022/06/29 03:35:13 - mmengine - INFO - Epoch(val) [90][120/310] eta: 0:03:28 time: 1.135 data_time: 0.474 memory: 9746 2022/06/29 03:35:37 - mmengine - INFO - Epoch(val) [90][140/310] eta: 0:03:14 time: 1.004 data_time: 0.382 memory: 9746 2022/06/29 03:36:02 - mmengine - INFO - Epoch(val) [90][160/310] eta: 0:03:27 time: 4.091 data_time: 3.439 memory: 9746 2022/06/29 03:36:24 - mmengine - INFO - Epoch(val) [90][180/310] eta: 0:02:40 time: 0.983 data_time: 0.327 memory: 9746 2022/06/29 03:36:47 - mmengine - INFO - Epoch(val) [90][200/310] eta: 0:02:07 time: 1.057 data_time: 0.402 memory: 9746 2022/06/29 03:37:08 - mmengine - INFO - Epoch(val) [90][220/310] eta: 0:01:37 time: 1.205 data_time: 0.575 memory: 9746 2022/06/29 03:37:30 - mmengine - INFO - Epoch(val) [90][240/310] eta: 0:01:18 time: 1.079 data_time: 0.448 memory: 9746 2022/06/29 03:37:52 - mmengine - INFO - Epoch(val) [90][260/310] eta: 0:01:01 time: 1.046 data_time: 0.382 memory: 9746 2022/06/29 03:38:15 - mmengine - INFO - Epoch(val) [90][280/310] eta: 0:00:33 time: 1.524 data_time: 0.893 memory: 9746 2022/06/29 03:38:35 - mmengine - INFO - Epoch(val) [90][300/310] eta: 0:00:08 time: 0.632 data_time: 0.068 memory: 9746 2022/06/29 03:38:47 - mmengine - INFO - Epoch(val) [90][310/310] acc/top1: 0.7216 acc/top5: 0.9044 acc/mean1: 0.7215 2022/06/29 03:38:55 - mmengine - INFO - Epoch(train) [91][20/3757] lr: 1.000e-04 eta: 2:46:30 time: 0.212 data_time: 0.008 memory: 9746 grad_norm: 8.4049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2608 loss: 1.2608 2022/06/29 03:39:01 - mmengine - INFO - Epoch(train) [91][40/3757] lr: 1.000e-04 eta: 2:46:25 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.8695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2275 loss: 1.2275 2022/06/29 03:39:06 - mmengine - INFO - Epoch(train) [91][60/3757] lr: 1.000e-04 eta: 2:46:19 time: 0.289 data_time: 0.008 memory: 5150 grad_norm: 8.6125 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1847 loss: 1.1847 2022/06/29 03:39:12 - mmengine - INFO - Epoch(train) [91][80/3757] lr: 1.000e-04 eta: 2:46:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.1881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0668 loss: 1.0668 2022/06/29 03:39:17 - mmengine - INFO - Epoch(train) [91][100/3757] lr: 1.000e-04 eta: 2:46:09 time: 0.284 data_time: 0.011 memory: 5150 grad_norm: 9.3120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0814 loss: 1.0814 2022/06/29 03:39:22 - mmengine - INFO - Epoch(train) [91][120/3757] lr: 1.000e-04 eta: 2:46:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.3937 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4352 loss: 1.4352 2022/06/29 03:39:28 - mmengine - INFO - Epoch(train) [91][140/3757] lr: 1.000e-04 eta: 2:45:58 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.0003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9564 loss: 0.9564 2022/06/29 03:39:34 - mmengine - INFO - Epoch(train) [91][160/3757] lr: 1.000e-04 eta: 2:45:53 time: 0.598 data_time: 0.007 memory: 5150 grad_norm: 10.6237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4005 loss: 1.4005 2022/06/29 03:39:38 - mmengine - INFO - Epoch(train) [91][180/3757] lr: 1.000e-04 eta: 2:45:47 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.2916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1130 loss: 1.1130 2022/06/29 03:39:44 - mmengine - INFO - Epoch(train) [91][200/3757] lr: 1.000e-04 eta: 2:45:42 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.3862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9581 loss: 0.9581 2022/06/29 03:39:49 - mmengine - INFO - Epoch(train) [91][220/3757] lr: 1.000e-04 eta: 2:45:37 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.6725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8167 loss: 0.8167 2022/06/29 03:39:54 - mmengine - INFO - Epoch(train) [91][240/3757] lr: 1.000e-04 eta: 2:45:31 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6072 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0455 loss: 1.0455 2022/06/29 03:40:00 - mmengine - INFO - Epoch(train) [91][260/3757] lr: 1.000e-04 eta: 2:45:26 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.0787 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3163 loss: 1.3163 2022/06/29 03:40:06 - mmengine - INFO - Epoch(train) [91][280/3757] lr: 1.000e-04 eta: 2:45:21 time: 0.320 data_time: 0.008 memory: 5150 grad_norm: 9.3856 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2849 loss: 1.2849 2022/06/29 03:40:11 - mmengine - INFO - Epoch(train) [91][300/3757] lr: 1.000e-04 eta: 2:45:15 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.4837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/06/29 03:40:16 - mmengine - INFO - Epoch(train) [91][320/3757] lr: 1.000e-04 eta: 2:45:10 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.9194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1222 loss: 1.1222 2022/06/29 03:40:22 - mmengine - INFO - Epoch(train) [91][340/3757] lr: 1.000e-04 eta: 2:45:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.0643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/06/29 03:40:26 - mmengine - INFO - Epoch(train) [91][360/3757] lr: 1.000e-04 eta: 2:44:59 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.3738 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2715 loss: 1.2715 2022/06/29 03:40:32 - mmengine - INFO - Epoch(train) [91][380/3757] lr: 1.000e-04 eta: 2:44:54 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 11.8254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2286 loss: 1.2286 2022/06/29 03:40:38 - mmengine - INFO - Epoch(train) [91][400/3757] lr: 1.000e-04 eta: 2:44:49 time: 0.237 data_time: 0.007 memory: 5150 grad_norm: 9.1511 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1062 loss: 1.1062 2022/06/29 03:40:43 - mmengine - INFO - Epoch(train) [91][420/3757] lr: 1.000e-04 eta: 2:44:43 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.0127 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3072 loss: 1.3072 2022/06/29 03:40:48 - mmengine - INFO - Epoch(train) [91][440/3757] lr: 1.000e-04 eta: 2:44:38 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.6178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/06/29 03:40:54 - mmengine - INFO - Epoch(train) [91][460/3757] lr: 1.000e-04 eta: 2:44:33 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.0461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0933 loss: 1.0933 2022/06/29 03:40:59 - mmengine - INFO - Epoch(train) [91][480/3757] lr: 1.000e-04 eta: 2:44:28 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.7695 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1751 loss: 1.1751 2022/06/29 03:41:05 - mmengine - INFO - Epoch(train) [91][500/3757] lr: 1.000e-04 eta: 2:44:22 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 6.4611 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1957 loss: 1.1957 2022/06/29 03:41:10 - mmengine - INFO - Epoch(train) [91][520/3757] lr: 1.000e-04 eta: 2:44:17 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.7245 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0784 loss: 1.0784 2022/06/29 03:41:15 - mmengine - INFO - Epoch(train) [91][540/3757] lr: 1.000e-04 eta: 2:44:12 time: 0.210 data_time: 0.013 memory: 5150 grad_norm: 7.6916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2185 loss: 1.2185 2022/06/29 03:41:21 - mmengine - INFO - Epoch(train) [91][560/3757] lr: 1.000e-04 eta: 2:44:06 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 8.8975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0987 loss: 1.0987 2022/06/29 03:41:26 - mmengine - INFO - Epoch(train) [91][580/3757] lr: 1.000e-04 eta: 2:44:01 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 8.7447 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2830 loss: 1.2830 2022/06/29 03:41:31 - mmengine - INFO - Epoch(train) [91][600/3757] lr: 1.000e-04 eta: 2:43:56 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 8.9791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1497 loss: 1.1497 2022/06/29 03:41:37 - mmengine - INFO - Epoch(train) [91][620/3757] lr: 1.000e-04 eta: 2:43:50 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.3881 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.0249 loss: 1.0249 2022/06/29 03:41:42 - mmengine - INFO - Epoch(train) [91][640/3757] lr: 1.000e-04 eta: 2:43:45 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0109 loss: 1.0109 2022/06/29 03:41:47 - mmengine - INFO - Epoch(train) [91][660/3757] lr: 1.000e-04 eta: 2:43:40 time: 0.225 data_time: 0.041 memory: 5150 grad_norm: 9.4124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8698 loss: 0.8698 2022/06/29 03:41:53 - mmengine - INFO - Epoch(train) [91][680/3757] lr: 1.000e-04 eta: 2:43:34 time: 0.241 data_time: 0.010 memory: 5150 grad_norm: 9.2613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/06/29 03:41:58 - mmengine - INFO - Epoch(train) [91][700/3757] lr: 1.000e-04 eta: 2:43:29 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.9921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1981 loss: 1.1981 2022/06/29 03:42:03 - mmengine - INFO - Epoch(train) [91][720/3757] lr: 1.000e-04 eta: 2:43:24 time: 0.220 data_time: 0.045 memory: 5150 grad_norm: 7.8440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2266 loss: 1.2266 2022/06/29 03:42:08 - mmengine - INFO - Epoch(train) [91][740/3757] lr: 1.000e-04 eta: 2:43:18 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 8.9847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3356 loss: 1.3356 2022/06/29 03:42:13 - mmengine - INFO - Epoch(train) [91][760/3757] lr: 1.000e-04 eta: 2:43:13 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 8.3356 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0390 loss: 1.0390 2022/06/29 03:42:18 - mmengine - INFO - Epoch(train) [91][780/3757] lr: 1.000e-04 eta: 2:43:08 time: 0.436 data_time: 0.259 memory: 5150 grad_norm: 7.5563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/06/29 03:42:24 - mmengine - INFO - Epoch(train) [91][800/3757] lr: 1.000e-04 eta: 2:43:02 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 8.6972 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2385 loss: 1.2385 2022/06/29 03:42:30 - mmengine - INFO - Epoch(train) [91][820/3757] lr: 1.000e-04 eta: 2:42:57 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 11.1350 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2191 loss: 1.2191 2022/06/29 03:42:35 - mmengine - INFO - Epoch(train) [91][840/3757] lr: 1.000e-04 eta: 2:42:52 time: 0.211 data_time: 0.020 memory: 5150 grad_norm: 10.8304 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/06/29 03:42:40 - mmengine - INFO - Epoch(train) [91][860/3757] lr: 1.000e-04 eta: 2:42:46 time: 0.198 data_time: 0.018 memory: 5150 grad_norm: 9.4236 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1727 loss: 1.1727 2022/06/29 03:42:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:42:46 - mmengine - INFO - Epoch(train) [91][880/3757] lr: 1.000e-04 eta: 2:42:41 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 8.8279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3889 loss: 1.3889 2022/06/29 03:42:51 - mmengine - INFO - Epoch(train) [91][900/3757] lr: 1.000e-04 eta: 2:42:36 time: 0.223 data_time: 0.022 memory: 5150 grad_norm: 11.6323 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0328 loss: 1.0328 2022/06/29 03:42:56 - mmengine - INFO - Epoch(train) [91][920/3757] lr: 1.000e-04 eta: 2:42:30 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 9.0520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0430 loss: 1.0430 2022/06/29 03:43:02 - mmengine - INFO - Epoch(train) [91][940/3757] lr: 1.000e-04 eta: 2:42:25 time: 0.210 data_time: 0.027 memory: 5150 grad_norm: 9.0007 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2242 loss: 1.2242 2022/06/29 03:43:07 - mmengine - INFO - Epoch(train) [91][960/3757] lr: 1.000e-04 eta: 2:42:20 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 9.1073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/06/29 03:43:12 - mmengine - INFO - Epoch(train) [91][980/3757] lr: 1.000e-04 eta: 2:42:14 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.3097 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0912 loss: 1.0912 2022/06/29 03:43:17 - mmengine - INFO - Epoch(train) [91][1000/3757] lr: 1.000e-04 eta: 2:42:09 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 8.1923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0627 loss: 1.0627 2022/06/29 03:43:22 - mmengine - INFO - Epoch(train) [91][1020/3757] lr: 1.000e-04 eta: 2:42:04 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 8.3406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2547 loss: 1.2547 2022/06/29 03:43:28 - mmengine - INFO - Epoch(train) [91][1040/3757] lr: 1.000e-04 eta: 2:41:58 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.0007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/06/29 03:43:33 - mmengine - INFO - Epoch(train) [91][1060/3757] lr: 1.000e-04 eta: 2:41:53 time: 0.199 data_time: 0.020 memory: 5150 grad_norm: 7.7032 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1234 loss: 1.1234 2022/06/29 03:43:38 - mmengine - INFO - Epoch(train) [91][1080/3757] lr: 1.000e-04 eta: 2:41:48 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 9.2809 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/29 03:43:44 - mmengine - INFO - Epoch(train) [91][1100/3757] lr: 1.000e-04 eta: 2:41:42 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 9.6848 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7121 loss: 0.7121 2022/06/29 03:43:50 - mmengine - INFO - Epoch(train) [91][1120/3757] lr: 1.000e-04 eta: 2:41:37 time: 0.218 data_time: 0.017 memory: 5150 grad_norm: 9.6580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2932 loss: 1.2932 2022/06/29 03:43:55 - mmengine - INFO - Epoch(train) [91][1140/3757] lr: 1.000e-04 eta: 2:41:32 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 10.5294 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7749 loss: 0.7749 2022/06/29 03:44:00 - mmengine - INFO - Epoch(train) [91][1160/3757] lr: 1.000e-04 eta: 2:41:27 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 10.2793 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0093 loss: 1.0093 2022/06/29 03:44:06 - mmengine - INFO - Epoch(train) [91][1180/3757] lr: 1.000e-04 eta: 2:41:21 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 10.7418 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3652 loss: 1.3652 2022/06/29 03:44:11 - mmengine - INFO - Epoch(train) [91][1200/3757] lr: 1.000e-04 eta: 2:41:16 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 9.7984 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3055 loss: 1.3055 2022/06/29 03:44:17 - mmengine - INFO - Epoch(train) [91][1220/3757] lr: 1.000e-04 eta: 2:41:11 time: 0.207 data_time: 0.019 memory: 5150 grad_norm: 7.6360 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8273 loss: 0.8273 2022/06/29 03:44:22 - mmengine - INFO - Epoch(train) [91][1240/3757] lr: 1.000e-04 eta: 2:41:05 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.1759 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1450 loss: 1.1450 2022/06/29 03:44:27 - mmengine - INFO - Epoch(train) [91][1260/3757] lr: 1.000e-04 eta: 2:41:00 time: 0.194 data_time: 0.015 memory: 5150 grad_norm: 8.3185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3469 loss: 1.3469 2022/06/29 03:44:32 - mmengine - INFO - Epoch(train) [91][1280/3757] lr: 1.000e-04 eta: 2:40:55 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 10.6952 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/06/29 03:44:37 - mmengine - INFO - Epoch(train) [91][1300/3757] lr: 1.000e-04 eta: 2:40:49 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 11.0493 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2697 loss: 1.2697 2022/06/29 03:44:42 - mmengine - INFO - Epoch(train) [91][1320/3757] lr: 1.000e-04 eta: 2:40:44 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 10.2563 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1909 loss: 1.1909 2022/06/29 03:44:48 - mmengine - INFO - Epoch(train) [91][1340/3757] lr: 1.000e-04 eta: 2:40:39 time: 0.216 data_time: 0.014 memory: 5150 grad_norm: 9.3263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3807 loss: 1.3807 2022/06/29 03:44:54 - mmengine - INFO - Epoch(train) [91][1360/3757] lr: 1.000e-04 eta: 2:40:33 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 8.5996 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1810 loss: 1.1810 2022/06/29 03:44:59 - mmengine - INFO - Epoch(train) [91][1380/3757] lr: 1.000e-04 eta: 2:40:28 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 11.4699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9856 loss: 0.9856 2022/06/29 03:45:05 - mmengine - INFO - Epoch(train) [91][1400/3757] lr: 1.000e-04 eta: 2:40:23 time: 0.214 data_time: 0.015 memory: 5150 grad_norm: 8.3615 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2923 loss: 1.2923 2022/06/29 03:45:10 - mmengine - INFO - Epoch(train) [91][1420/3757] lr: 1.000e-04 eta: 2:40:17 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.3284 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9734 loss: 0.9734 2022/06/29 03:45:15 - mmengine - INFO - Epoch(train) [91][1440/3757] lr: 1.000e-04 eta: 2:40:12 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 7.6443 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0474 loss: 1.0474 2022/06/29 03:45:20 - mmengine - INFO - Epoch(train) [91][1460/3757] lr: 1.000e-04 eta: 2:40:07 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 7.9556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3708 loss: 1.3708 2022/06/29 03:45:26 - mmengine - INFO - Epoch(train) [91][1480/3757] lr: 1.000e-04 eta: 2:40:01 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 10.0151 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1842 loss: 1.1842 2022/06/29 03:45:31 - mmengine - INFO - Epoch(train) [91][1500/3757] lr: 1.000e-04 eta: 2:39:56 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 9.7709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0018 loss: 1.0018 2022/06/29 03:45:37 - mmengine - INFO - Epoch(train) [91][1520/3757] lr: 1.000e-04 eta: 2:39:51 time: 0.221 data_time: 0.024 memory: 5150 grad_norm: 8.6243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1968 loss: 1.1968 2022/06/29 03:45:42 - mmengine - INFO - Epoch(train) [91][1540/3757] lr: 1.000e-04 eta: 2:39:45 time: 0.200 data_time: 0.019 memory: 5150 grad_norm: 8.4206 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1860 loss: 1.1860 2022/06/29 03:45:47 - mmengine - INFO - Epoch(train) [91][1560/3757] lr: 1.000e-04 eta: 2:39:40 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.5450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/06/29 03:45:52 - mmengine - INFO - Epoch(train) [91][1580/3757] lr: 1.000e-04 eta: 2:39:35 time: 0.218 data_time: 0.017 memory: 5150 grad_norm: 9.8342 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4481 loss: 1.4481 2022/06/29 03:45:58 - mmengine - INFO - Epoch(train) [91][1600/3757] lr: 1.000e-04 eta: 2:39:29 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.6575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0919 loss: 1.0919 2022/06/29 03:46:03 - mmengine - INFO - Epoch(train) [91][1620/3757] lr: 1.000e-04 eta: 2:39:24 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.7598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/06/29 03:46:08 - mmengine - INFO - Epoch(train) [91][1640/3757] lr: 1.000e-04 eta: 2:39:19 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 9.5843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2077 loss: 1.2077 2022/06/29 03:46:14 - mmengine - INFO - Epoch(train) [91][1660/3757] lr: 1.000e-04 eta: 2:39:14 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.6256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9291 loss: 0.9291 2022/06/29 03:46:19 - mmengine - INFO - Epoch(train) [91][1680/3757] lr: 1.000e-04 eta: 2:39:08 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.8983 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9924 loss: 0.9924 2022/06/29 03:46:25 - mmengine - INFO - Epoch(train) [91][1700/3757] lr: 1.000e-04 eta: 2:39:03 time: 0.202 data_time: 0.021 memory: 5150 grad_norm: 8.8543 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2746 loss: 1.2746 2022/06/29 03:46:30 - mmengine - INFO - Epoch(train) [91][1720/3757] lr: 1.000e-04 eta: 2:38:58 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.7965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/06/29 03:46:36 - mmengine - INFO - Epoch(train) [91][1740/3757] lr: 1.000e-04 eta: 2:38:52 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.8992 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/06/29 03:46:41 - mmengine - INFO - Epoch(train) [91][1760/3757] lr: 1.000e-04 eta: 2:38:47 time: 0.208 data_time: 0.035 memory: 5150 grad_norm: 9.8873 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/06/29 03:46:46 - mmengine - INFO - Epoch(train) [91][1780/3757] lr: 1.000e-04 eta: 2:38:42 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 11.2553 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3963 loss: 1.3963 2022/06/29 03:46:51 - mmengine - INFO - Epoch(train) [91][1800/3757] lr: 1.000e-04 eta: 2:38:36 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 11.1428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1745 loss: 1.1745 2022/06/29 03:46:56 - mmengine - INFO - Epoch(train) [91][1820/3757] lr: 1.000e-04 eta: 2:38:31 time: 0.248 data_time: 0.071 memory: 5150 grad_norm: 8.2992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9898 loss: 0.9898 2022/06/29 03:47:02 - mmengine - INFO - Epoch(train) [91][1840/3757] lr: 1.000e-04 eta: 2:38:26 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.4204 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0514 loss: 1.0514 2022/06/29 03:47:07 - mmengine - INFO - Epoch(train) [91][1860/3757] lr: 1.000e-04 eta: 2:38:20 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.9737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3975 loss: 1.3975 2022/06/29 03:47:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:47:12 - mmengine - INFO - Epoch(train) [91][1880/3757] lr: 1.000e-04 eta: 2:38:15 time: 0.215 data_time: 0.023 memory: 5150 grad_norm: 9.3663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/06/29 03:47:18 - mmengine - INFO - Epoch(train) [91][1900/3757] lr: 1.000e-04 eta: 2:38:10 time: 0.204 data_time: 0.022 memory: 5150 grad_norm: 7.8230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2969 loss: 1.2969 2022/06/29 03:47:23 - mmengine - INFO - Epoch(train) [91][1920/3757] lr: 1.000e-04 eta: 2:38:04 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.2382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1673 loss: 1.1673 2022/06/29 03:47:28 - mmengine - INFO - Epoch(train) [91][1940/3757] lr: 1.000e-04 eta: 2:37:59 time: 0.539 data_time: 0.358 memory: 5150 grad_norm: 9.2475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1788 loss: 1.1788 2022/06/29 03:47:33 - mmengine - INFO - Epoch(train) [91][1960/3757] lr: 1.000e-04 eta: 2:37:54 time: 0.205 data_time: 0.020 memory: 5150 grad_norm: 8.7164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3162 loss: 1.3162 2022/06/29 03:47:39 - mmengine - INFO - Epoch(train) [91][1980/3757] lr: 1.000e-04 eta: 2:37:48 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.8829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5009 loss: 1.5009 2022/06/29 03:47:44 - mmengine - INFO - Epoch(train) [91][2000/3757] lr: 1.000e-04 eta: 2:37:43 time: 0.672 data_time: 0.497 memory: 5150 grad_norm: 8.7551 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/06/29 03:47:50 - mmengine - INFO - Epoch(train) [91][2020/3757] lr: 1.000e-04 eta: 2:37:38 time: 0.207 data_time: 0.018 memory: 5150 grad_norm: 9.6455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7148 loss: 0.7148 2022/06/29 03:47:55 - mmengine - INFO - Epoch(train) [91][2040/3757] lr: 1.000e-04 eta: 2:37:32 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.7927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/06/29 03:48:00 - mmengine - INFO - Epoch(train) [91][2060/3757] lr: 1.000e-04 eta: 2:37:27 time: 0.495 data_time: 0.319 memory: 5150 grad_norm: 10.6824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1484 loss: 1.1484 2022/06/29 03:48:06 - mmengine - INFO - Epoch(train) [91][2080/3757] lr: 1.000e-04 eta: 2:37:22 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 10.5594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0946 loss: 1.0946 2022/06/29 03:48:11 - mmengine - INFO - Epoch(train) [91][2100/3757] lr: 1.000e-04 eta: 2:37:16 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.1020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1961 loss: 1.1961 2022/06/29 03:48:17 - mmengine - INFO - Epoch(train) [91][2120/3757] lr: 1.000e-04 eta: 2:37:11 time: 0.800 data_time: 0.554 memory: 5150 grad_norm: 7.7078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1243 loss: 1.1243 2022/06/29 03:48:22 - mmengine - INFO - Epoch(train) [91][2140/3757] lr: 1.000e-04 eta: 2:37:06 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 9.1005 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5049 loss: 1.5049 2022/06/29 03:48:27 - mmengine - INFO - Epoch(train) [91][2160/3757] lr: 1.000e-04 eta: 2:37:00 time: 0.221 data_time: 0.009 memory: 5150 grad_norm: 7.6723 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0738 loss: 1.0738 2022/06/29 03:48:32 - mmengine - INFO - Epoch(train) [91][2180/3757] lr: 1.000e-04 eta: 2:36:55 time: 0.214 data_time: 0.036 memory: 5150 grad_norm: 9.9786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0743 loss: 1.0743 2022/06/29 03:48:37 - mmengine - INFO - Epoch(train) [91][2200/3757] lr: 1.000e-04 eta: 2:36:50 time: 0.198 data_time: 0.020 memory: 5150 grad_norm: 8.0429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3099 loss: 1.3099 2022/06/29 03:48:43 - mmengine - INFO - Epoch(train) [91][2220/3757] lr: 1.000e-04 eta: 2:36:45 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 8.8010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2683 loss: 1.2683 2022/06/29 03:48:48 - mmengine - INFO - Epoch(train) [91][2240/3757] lr: 1.000e-04 eta: 2:36:39 time: 0.217 data_time: 0.036 memory: 5150 grad_norm: 10.2239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/06/29 03:48:54 - mmengine - INFO - Epoch(train) [91][2260/3757] lr: 1.000e-04 eta: 2:36:34 time: 0.209 data_time: 0.019 memory: 5150 grad_norm: 10.4152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3463 loss: 1.3463 2022/06/29 03:48:59 - mmengine - INFO - Epoch(train) [91][2280/3757] lr: 1.000e-04 eta: 2:36:29 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 10.3352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/06/29 03:49:05 - mmengine - INFO - Epoch(train) [91][2300/3757] lr: 1.000e-04 eta: 2:36:23 time: 0.221 data_time: 0.040 memory: 5150 grad_norm: 9.6310 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0846 loss: 1.0846 2022/06/29 03:49:10 - mmengine - INFO - Epoch(train) [91][2320/3757] lr: 1.000e-04 eta: 2:36:18 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 7.5696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/06/29 03:49:16 - mmengine - INFO - Epoch(train) [91][2340/3757] lr: 1.000e-04 eta: 2:36:13 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.3048 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2300 loss: 1.2300 2022/06/29 03:49:20 - mmengine - INFO - Epoch(train) [91][2360/3757] lr: 1.000e-04 eta: 2:36:07 time: 0.202 data_time: 0.026 memory: 5150 grad_norm: 7.9962 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4366 loss: 1.4366 2022/06/29 03:49:26 - mmengine - INFO - Epoch(train) [91][2380/3757] lr: 1.000e-04 eta: 2:36:02 time: 0.220 data_time: 0.015 memory: 5150 grad_norm: 11.7197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1691 loss: 1.1691 2022/06/29 03:49:32 - mmengine - INFO - Epoch(train) [91][2400/3757] lr: 1.000e-04 eta: 2:35:57 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 10.9430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9139 loss: 0.9139 2022/06/29 03:49:37 - mmengine - INFO - Epoch(train) [91][2420/3757] lr: 1.000e-04 eta: 2:35:51 time: 0.195 data_time: 0.022 memory: 5150 grad_norm: 8.1377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0112 loss: 1.0112 2022/06/29 03:49:42 - mmengine - INFO - Epoch(train) [91][2440/3757] lr: 1.000e-04 eta: 2:35:46 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.7439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0689 loss: 1.0689 2022/06/29 03:49:47 - mmengine - INFO - Epoch(train) [91][2460/3757] lr: 1.000e-04 eta: 2:35:41 time: 0.292 data_time: 0.014 memory: 5150 grad_norm: 9.2897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2644 loss: 1.2644 2022/06/29 03:49:52 - mmengine - INFO - Epoch(train) [91][2480/3757] lr: 1.000e-04 eta: 2:35:35 time: 0.199 data_time: 0.019 memory: 5150 grad_norm: 10.8662 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4107 loss: 1.4107 2022/06/29 03:49:57 - mmengine - INFO - Epoch(train) [91][2500/3757] lr: 1.000e-04 eta: 2:35:30 time: 0.391 data_time: 0.008 memory: 5150 grad_norm: 9.7686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/06/29 03:50:02 - mmengine - INFO - Epoch(train) [91][2520/3757] lr: 1.000e-04 eta: 2:35:25 time: 0.200 data_time: 0.006 memory: 5150 grad_norm: 8.4270 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1657 loss: 1.1657 2022/06/29 03:50:08 - mmengine - INFO - Epoch(train) [91][2540/3757] lr: 1.000e-04 eta: 2:35:19 time: 0.217 data_time: 0.023 memory: 5150 grad_norm: 9.8154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1419 loss: 1.1419 2022/06/29 03:50:13 - mmengine - INFO - Epoch(train) [91][2560/3757] lr: 1.000e-04 eta: 2:35:14 time: 0.688 data_time: 0.007 memory: 5150 grad_norm: 9.2382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/29 03:50:18 - mmengine - INFO - Epoch(train) [91][2580/3757] lr: 1.000e-04 eta: 2:35:09 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.8708 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3444 loss: 1.3444 2022/06/29 03:50:24 - mmengine - INFO - Epoch(train) [91][2600/3757] lr: 1.000e-04 eta: 2:35:03 time: 0.211 data_time: 0.017 memory: 5150 grad_norm: 9.1119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2075 loss: 1.2075 2022/06/29 03:50:29 - mmengine - INFO - Epoch(train) [91][2620/3757] lr: 1.000e-04 eta: 2:34:58 time: 0.864 data_time: 0.011 memory: 5150 grad_norm: 10.0585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8147 loss: 0.8147 2022/06/29 03:50:34 - mmengine - INFO - Epoch(train) [91][2640/3757] lr: 1.000e-04 eta: 2:34:53 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.6188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4364 loss: 1.4364 2022/06/29 03:50:40 - mmengine - INFO - Epoch(train) [91][2660/3757] lr: 1.000e-04 eta: 2:34:47 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 7.5172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1521 loss: 1.1521 2022/06/29 03:50:45 - mmengine - INFO - Epoch(train) [91][2680/3757] lr: 1.000e-04 eta: 2:34:42 time: 1.151 data_time: 0.011 memory: 5150 grad_norm: 9.3587 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3571 loss: 1.3571 2022/06/29 03:50:50 - mmengine - INFO - Epoch(train) [91][2700/3757] lr: 1.000e-04 eta: 2:34:37 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.7853 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0444 loss: 1.0444 2022/06/29 03:50:56 - mmengine - INFO - Epoch(train) [91][2720/3757] lr: 1.000e-04 eta: 2:34:31 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.5832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/06/29 03:51:02 - mmengine - INFO - Epoch(train) [91][2740/3757] lr: 1.000e-04 eta: 2:34:26 time: 0.839 data_time: 0.010 memory: 5150 grad_norm: 9.4681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3233 loss: 1.3233 2022/06/29 03:51:07 - mmengine - INFO - Epoch(train) [91][2760/3757] lr: 1.000e-04 eta: 2:34:21 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.1014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0257 loss: 1.0257 2022/06/29 03:51:12 - mmengine - INFO - Epoch(train) [91][2780/3757] lr: 1.000e-04 eta: 2:34:15 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 8.6945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2589 loss: 1.2589 2022/06/29 03:51:18 - mmengine - INFO - Epoch(train) [91][2800/3757] lr: 1.000e-04 eta: 2:34:10 time: 0.903 data_time: 0.011 memory: 5150 grad_norm: 9.2522 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1539 loss: 1.1539 2022/06/29 03:51:23 - mmengine - INFO - Epoch(train) [91][2820/3757] lr: 1.000e-04 eta: 2:34:05 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.4643 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2993 loss: 1.2993 2022/06/29 03:51:28 - mmengine - INFO - Epoch(train) [91][2840/3757] lr: 1.000e-04 eta: 2:33:59 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.0220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9548 loss: 0.9548 2022/06/29 03:51:33 - mmengine - INFO - Epoch(train) [91][2860/3757] lr: 1.000e-04 eta: 2:33:54 time: 0.729 data_time: 0.012 memory: 5150 grad_norm: 9.1474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7736 loss: 0.7736 2022/06/29 03:51:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:51:38 - mmengine - INFO - Epoch(train) [91][2880/3757] lr: 1.000e-04 eta: 2:33:49 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 10.4264 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2883 loss: 1.2883 2022/06/29 03:51:43 - mmengine - INFO - Epoch(train) [91][2900/3757] lr: 1.000e-04 eta: 2:33:43 time: 0.215 data_time: 0.027 memory: 5150 grad_norm: 10.2553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0833 loss: 1.0833 2022/06/29 03:51:49 - mmengine - INFO - Epoch(train) [91][2920/3757] lr: 1.000e-04 eta: 2:33:38 time: 0.979 data_time: 0.007 memory: 5150 grad_norm: 8.4206 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/06/29 03:51:54 - mmengine - INFO - Epoch(train) [91][2940/3757] lr: 1.000e-04 eta: 2:33:33 time: 0.204 data_time: 0.024 memory: 5150 grad_norm: 8.0802 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7402 loss: 0.7402 2022/06/29 03:51:59 - mmengine - INFO - Epoch(train) [91][2960/3757] lr: 1.000e-04 eta: 2:33:27 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 10.5167 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9650 loss: 0.9650 2022/06/29 03:52:05 - mmengine - INFO - Epoch(train) [91][2980/3757] lr: 1.000e-04 eta: 2:33:22 time: 1.148 data_time: 0.011 memory: 5150 grad_norm: 10.6856 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1840 loss: 1.1840 2022/06/29 03:52:09 - mmengine - INFO - Epoch(train) [91][3000/3757] lr: 1.000e-04 eta: 2:33:17 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 8.9048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2330 loss: 1.2330 2022/06/29 03:52:15 - mmengine - INFO - Epoch(train) [91][3020/3757] lr: 1.000e-04 eta: 2:33:12 time: 0.206 data_time: 0.030 memory: 5150 grad_norm: 9.1334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/06/29 03:52:21 - mmengine - INFO - Epoch(train) [91][3040/3757] lr: 1.000e-04 eta: 2:33:06 time: 0.794 data_time: 0.008 memory: 5150 grad_norm: 9.6725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8826 loss: 0.8826 2022/06/29 03:52:26 - mmengine - INFO - Epoch(train) [91][3060/3757] lr: 1.000e-04 eta: 2:33:01 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 8.8077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/06/29 03:52:31 - mmengine - INFO - Epoch(train) [91][3080/3757] lr: 1.000e-04 eta: 2:32:56 time: 0.205 data_time: 0.030 memory: 5150 grad_norm: 9.4775 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1611 loss: 1.1611 2022/06/29 03:52:37 - mmengine - INFO - Epoch(train) [91][3100/3757] lr: 1.000e-04 eta: 2:32:50 time: 0.738 data_time: 0.012 memory: 5150 grad_norm: 8.6130 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3832 loss: 1.3832 2022/06/29 03:52:42 - mmengine - INFO - Epoch(train) [91][3120/3757] lr: 1.000e-04 eta: 2:32:45 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.9129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7545 loss: 0.7545 2022/06/29 03:52:47 - mmengine - INFO - Epoch(train) [91][3140/3757] lr: 1.000e-04 eta: 2:32:40 time: 0.205 data_time: 0.026 memory: 5150 grad_norm: 10.2473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7681 loss: 0.7681 2022/06/29 03:52:53 - mmengine - INFO - Epoch(train) [91][3160/3757] lr: 1.000e-04 eta: 2:32:34 time: 0.671 data_time: 0.012 memory: 5150 grad_norm: 10.6356 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2102 loss: 1.2102 2022/06/29 03:52:58 - mmengine - INFO - Epoch(train) [91][3180/3757] lr: 1.000e-04 eta: 2:32:29 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.6566 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3194 loss: 1.3194 2022/06/29 03:53:03 - mmengine - INFO - Epoch(train) [91][3200/3757] lr: 1.000e-04 eta: 2:32:24 time: 0.228 data_time: 0.017 memory: 5150 grad_norm: 9.2750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1634 loss: 1.1634 2022/06/29 03:53:09 - mmengine - INFO - Epoch(train) [91][3220/3757] lr: 1.000e-04 eta: 2:32:18 time: 0.794 data_time: 0.008 memory: 5150 grad_norm: 9.7817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3974 loss: 1.3974 2022/06/29 03:53:14 - mmengine - INFO - Epoch(train) [91][3240/3757] lr: 1.000e-04 eta: 2:32:13 time: 0.211 data_time: 0.030 memory: 5150 grad_norm: 9.1111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1488 loss: 1.1488 2022/06/29 03:53:19 - mmengine - INFO - Epoch(train) [91][3260/3757] lr: 1.000e-04 eta: 2:32:08 time: 0.209 data_time: 0.013 memory: 5150 grad_norm: 7.2158 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1643 loss: 1.1643 2022/06/29 03:53:24 - mmengine - INFO - Epoch(train) [91][3280/3757] lr: 1.000e-04 eta: 2:32:02 time: 0.655 data_time: 0.008 memory: 5150 grad_norm: 8.0760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8546 loss: 0.8546 2022/06/29 03:53:29 - mmengine - INFO - Epoch(train) [91][3300/3757] lr: 1.000e-04 eta: 2:31:57 time: 0.201 data_time: 0.026 memory: 5150 grad_norm: 9.4795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/06/29 03:53:35 - mmengine - INFO - Epoch(train) [91][3320/3757] lr: 1.000e-04 eta: 2:31:52 time: 0.211 data_time: 0.010 memory: 5150 grad_norm: 10.7865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0431 loss: 1.0431 2022/06/29 03:53:41 - mmengine - INFO - Epoch(train) [91][3340/3757] lr: 1.000e-04 eta: 2:31:46 time: 0.835 data_time: 0.016 memory: 5150 grad_norm: 7.6208 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9290 loss: 0.9290 2022/06/29 03:53:46 - mmengine - INFO - Epoch(train) [91][3360/3757] lr: 1.000e-04 eta: 2:31:41 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.5860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3120 loss: 1.3120 2022/06/29 03:53:51 - mmengine - INFO - Epoch(train) [91][3380/3757] lr: 1.000e-04 eta: 2:31:36 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.7898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/06/29 03:53:56 - mmengine - INFO - Epoch(train) [91][3400/3757] lr: 1.000e-04 eta: 2:31:30 time: 0.668 data_time: 0.008 memory: 5150 grad_norm: 8.2576 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7211 loss: 0.7211 2022/06/29 03:54:01 - mmengine - INFO - Epoch(train) [91][3420/3757] lr: 1.000e-04 eta: 2:31:25 time: 0.212 data_time: 0.018 memory: 5150 grad_norm: 8.2058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/06/29 03:54:07 - mmengine - INFO - Epoch(train) [91][3440/3757] lr: 1.000e-04 eta: 2:31:20 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 8.5059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0203 loss: 1.0203 2022/06/29 03:54:12 - mmengine - INFO - Epoch(train) [91][3460/3757] lr: 1.000e-04 eta: 2:31:14 time: 0.250 data_time: 0.008 memory: 5150 grad_norm: 11.8271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0717 loss: 1.0717 2022/06/29 03:54:17 - mmengine - INFO - Epoch(train) [91][3480/3757] lr: 1.000e-04 eta: 2:31:09 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 9.6138 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/06/29 03:54:22 - mmengine - INFO - Epoch(train) [91][3500/3757] lr: 1.000e-04 eta: 2:31:04 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.7108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3711 loss: 1.3711 2022/06/29 03:54:28 - mmengine - INFO - Epoch(train) [91][3520/3757] lr: 1.000e-04 eta: 2:30:58 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 9.0025 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1325 loss: 1.1325 2022/06/29 03:54:34 - mmengine - INFO - Epoch(train) [91][3540/3757] lr: 1.000e-04 eta: 2:30:53 time: 0.208 data_time: 0.018 memory: 5150 grad_norm: 10.7476 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2348 loss: 1.2348 2022/06/29 03:54:39 - mmengine - INFO - Epoch(train) [91][3560/3757] lr: 1.000e-04 eta: 2:30:48 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 10.4900 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/06/29 03:54:45 - mmengine - INFO - Epoch(train) [91][3580/3757] lr: 1.000e-04 eta: 2:30:42 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.4676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1367 loss: 1.1367 2022/06/29 03:54:49 - mmengine - INFO - Epoch(train) [91][3600/3757] lr: 1.000e-04 eta: 2:30:37 time: 0.228 data_time: 0.023 memory: 5150 grad_norm: 7.1916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1153 loss: 1.1153 2022/06/29 03:54:55 - mmengine - INFO - Epoch(train) [91][3620/3757] lr: 1.000e-04 eta: 2:30:32 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.3965 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/06/29 03:55:01 - mmengine - INFO - Epoch(train) [91][3640/3757] lr: 1.000e-04 eta: 2:30:27 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.9123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/06/29 03:55:06 - mmengine - INFO - Epoch(train) [91][3660/3757] lr: 1.000e-04 eta: 2:30:21 time: 0.213 data_time: 0.017 memory: 5150 grad_norm: 9.4334 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2703 loss: 1.2703 2022/06/29 03:55:11 - mmengine - INFO - Epoch(train) [91][3680/3757] lr: 1.000e-04 eta: 2:30:16 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.3158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2294 loss: 1.2294 2022/06/29 03:55:17 - mmengine - INFO - Epoch(train) [91][3700/3757] lr: 1.000e-04 eta: 2:30:11 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.2550 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9969 loss: 0.9969 2022/06/29 03:55:22 - mmengine - INFO - Epoch(train) [91][3720/3757] lr: 1.000e-04 eta: 2:30:05 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 9.3931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/06/29 03:55:27 - mmengine - INFO - Epoch(train) [91][3740/3757] lr: 1.000e-04 eta: 2:30:00 time: 0.234 data_time: 0.007 memory: 5150 grad_norm: 10.4282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3300 loss: 1.3300 2022/06/29 03:55:31 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 03:56:03 - mmengine - INFO - Epoch(val) [91][20/310] eta: 0:05:31 time: 1.135 data_time: 0.488 memory: 9746 2022/06/29 03:56:25 - mmengine - INFO - Epoch(val) [91][40/310] eta: 0:04:51 time: 1.052 data_time: 0.438 memory: 9746 2022/06/29 03:56:48 - mmengine - INFO - Epoch(val) [91][60/310] eta: 0:04:11 time: 1.033 data_time: 0.393 memory: 9746 2022/06/29 03:57:12 - mmengine - INFO - Epoch(val) [91][80/310] eta: 0:04:49 time: 1.089 data_time: 0.444 memory: 9746 2022/06/29 03:57:36 - mmengine - INFO - Epoch(val) [91][100/310] eta: 0:04:06 time: 2.355 data_time: 1.666 memory: 9746 2022/06/29 03:57:57 - mmengine - INFO - Epoch(val) [91][120/310] eta: 0:03:24 time: 1.141 data_time: 0.478 memory: 9746 2022/06/29 03:58:22 - mmengine - INFO - Epoch(val) [91][140/310] eta: 0:03:29 time: 1.027 data_time: 0.394 memory: 9746 2022/06/29 03:58:46 - mmengine - INFO - Epoch(val) [91][160/310] eta: 0:03:14 time: 3.285 data_time: 2.605 memory: 9746 2022/06/29 03:59:09 - mmengine - INFO - Epoch(val) [91][180/310] eta: 0:02:49 time: 1.084 data_time: 0.434 memory: 9746 2022/06/29 03:59:31 - mmengine - INFO - Epoch(val) [91][200/310] eta: 0:02:00 time: 1.082 data_time: 0.436 memory: 9746 2022/06/29 03:59:53 - mmengine - INFO - Epoch(val) [91][220/310] eta: 0:01:38 time: 1.041 data_time: 0.376 memory: 9746 2022/06/29 04:00:14 - mmengine - INFO - Epoch(val) [91][240/310] eta: 0:01:12 time: 1.081 data_time: 0.421 memory: 9746 2022/06/29 04:00:37 - mmengine - INFO - Epoch(val) [91][260/310] eta: 0:00:59 time: 1.001 data_time: 0.364 memory: 9746 2022/06/29 04:01:00 - mmengine - INFO - Epoch(val) [91][280/310] eta: 0:00:35 time: 0.940 data_time: 0.270 memory: 9746 2022/06/29 04:01:20 - mmengine - INFO - Epoch(val) [91][300/310] eta: 0:00:09 time: 0.721 data_time: 0.129 memory: 9746 2022/06/29 04:01:34 - mmengine - INFO - Epoch(val) [91][310/310] acc/top1: 0.7221 acc/top5: 0.9052 acc/mean1: 0.7220 2022/06/29 04:01:43 - mmengine - INFO - Epoch(train) [92][20/3757] lr: 1.000e-04 eta: 2:29:50 time: 0.203 data_time: 0.007 memory: 9746 grad_norm: 8.8740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0457 loss: 1.0457 2022/06/29 04:01:48 - mmengine - INFO - Epoch(train) [92][40/3757] lr: 1.000e-04 eta: 2:29:45 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.9747 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1128 loss: 1.1128 2022/06/29 04:01:53 - mmengine - INFO - Epoch(train) [92][60/3757] lr: 1.000e-04 eta: 2:29:39 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.5993 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2262 loss: 1.2262 2022/06/29 04:01:59 - mmengine - INFO - Epoch(train) [92][80/3757] lr: 1.000e-04 eta: 2:29:34 time: 0.232 data_time: 0.007 memory: 5150 grad_norm: 8.6532 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/06/29 04:02:04 - mmengine - INFO - Epoch(train) [92][100/3757] lr: 1.000e-04 eta: 2:29:29 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 9.6876 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.1123 loss: 1.1123 2022/06/29 04:02:08 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:02:10 - mmengine - INFO - Epoch(train) [92][120/3757] lr: 1.000e-04 eta: 2:29:24 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 10.3976 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/06/29 04:02:15 - mmengine - INFO - Epoch(train) [92][140/3757] lr: 1.000e-04 eta: 2:29:18 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 13.5584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8349 loss: 0.8349 2022/06/29 04:02:21 - mmengine - INFO - Epoch(train) [92][160/3757] lr: 1.000e-04 eta: 2:29:13 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.9220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0939 loss: 1.0939 2022/06/29 04:02:26 - mmengine - INFO - Epoch(train) [92][180/3757] lr: 1.000e-04 eta: 2:29:08 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.3725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/06/29 04:02:31 - mmengine - INFO - Epoch(train) [92][200/3757] lr: 1.000e-04 eta: 2:29:02 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.9117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1703 loss: 1.1703 2022/06/29 04:02:37 - mmengine - INFO - Epoch(train) [92][220/3757] lr: 1.000e-04 eta: 2:28:57 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.3981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/06/29 04:02:42 - mmengine - INFO - Epoch(train) [92][240/3757] lr: 1.000e-04 eta: 2:28:52 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.3411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0814 loss: 1.0814 2022/06/29 04:02:48 - mmengine - INFO - Epoch(train) [92][260/3757] lr: 1.000e-04 eta: 2:28:46 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 10.2262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9378 loss: 0.9378 2022/06/29 04:02:53 - mmengine - INFO - Epoch(train) [92][280/3757] lr: 1.000e-04 eta: 2:28:41 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 9.8828 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3484 loss: 1.3484 2022/06/29 04:02:58 - mmengine - INFO - Epoch(train) [92][300/3757] lr: 1.000e-04 eta: 2:28:36 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.6592 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2936 loss: 1.2936 2022/06/29 04:03:04 - mmengine - INFO - Epoch(train) [92][320/3757] lr: 1.000e-04 eta: 2:28:30 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.6015 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0224 loss: 1.0224 2022/06/29 04:03:09 - mmengine - INFO - Epoch(train) [92][340/3757] lr: 1.000e-04 eta: 2:28:25 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.7513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2009 loss: 1.2009 2022/06/29 04:03:14 - mmengine - INFO - Epoch(train) [92][360/3757] lr: 1.000e-04 eta: 2:28:20 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.8107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1883 loss: 1.1883 2022/06/29 04:03:19 - mmengine - INFO - Epoch(train) [92][380/3757] lr: 1.000e-04 eta: 2:28:14 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.6899 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1917 loss: 1.1917 2022/06/29 04:03:25 - mmengine - INFO - Epoch(train) [92][400/3757] lr: 1.000e-04 eta: 2:28:09 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.3978 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1078 loss: 1.1078 2022/06/29 04:03:30 - mmengine - INFO - Epoch(train) [92][420/3757] lr: 1.000e-04 eta: 2:28:04 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.1753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1168 loss: 1.1168 2022/06/29 04:03:35 - mmengine - INFO - Epoch(train) [92][440/3757] lr: 1.000e-04 eta: 2:27:58 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.8238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5460 loss: 1.5460 2022/06/29 04:03:41 - mmengine - INFO - Epoch(train) [92][460/3757] lr: 1.000e-04 eta: 2:27:53 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 11.1370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9449 loss: 0.9449 2022/06/29 04:03:46 - mmengine - INFO - Epoch(train) [92][480/3757] lr: 1.000e-04 eta: 2:27:48 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 7.8923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/06/29 04:03:52 - mmengine - INFO - Epoch(train) [92][500/3757] lr: 1.000e-04 eta: 2:27:43 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 11.1130 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/06/29 04:03:57 - mmengine - INFO - Epoch(train) [92][520/3757] lr: 1.000e-04 eta: 2:27:37 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.8269 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8301 loss: 0.8301 2022/06/29 04:04:02 - mmengine - INFO - Epoch(train) [92][540/3757] lr: 1.000e-04 eta: 2:27:32 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 11.2046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1325 loss: 1.1325 2022/06/29 04:04:08 - mmengine - INFO - Epoch(train) [92][560/3757] lr: 1.000e-04 eta: 2:27:27 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8645 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0585 loss: 1.0585 2022/06/29 04:04:14 - mmengine - INFO - Epoch(train) [92][580/3757] lr: 1.000e-04 eta: 2:27:21 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 10.7286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0924 loss: 1.0924 2022/06/29 04:04:18 - mmengine - INFO - Epoch(train) [92][600/3757] lr: 1.000e-04 eta: 2:27:16 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 8.8087 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1963 loss: 1.1963 2022/06/29 04:04:23 - mmengine - INFO - Epoch(train) [92][620/3757] lr: 1.000e-04 eta: 2:27:11 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.2476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3320 loss: 1.3320 2022/06/29 04:04:29 - mmengine - INFO - Epoch(train) [92][640/3757] lr: 1.000e-04 eta: 2:27:05 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 10.5849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1734 loss: 1.1734 2022/06/29 04:04:34 - mmengine - INFO - Epoch(train) [92][660/3757] lr: 1.000e-04 eta: 2:27:00 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 8.9140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/06/29 04:04:39 - mmengine - INFO - Epoch(train) [92][680/3757] lr: 1.000e-04 eta: 2:26:55 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.7921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/06/29 04:04:45 - mmengine - INFO - Epoch(train) [92][700/3757] lr: 1.000e-04 eta: 2:26:49 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.8611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4255 loss: 1.4255 2022/06/29 04:04:51 - mmengine - INFO - Epoch(train) [92][720/3757] lr: 1.000e-04 eta: 2:26:44 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 10.6785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2081 loss: 1.2081 2022/06/29 04:04:55 - mmengine - INFO - Epoch(train) [92][740/3757] lr: 1.000e-04 eta: 2:26:39 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 9.6047 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0863 loss: 1.0863 2022/06/29 04:05:00 - mmengine - INFO - Epoch(train) [92][760/3757] lr: 1.000e-04 eta: 2:26:33 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 10.0571 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0530 loss: 1.0530 2022/06/29 04:05:06 - mmengine - INFO - Epoch(train) [92][780/3757] lr: 1.000e-04 eta: 2:26:28 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 7.4156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1267 loss: 1.1267 2022/06/29 04:05:11 - mmengine - INFO - Epoch(train) [92][800/3757] lr: 1.000e-04 eta: 2:26:23 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.4566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/06/29 04:05:17 - mmengine - INFO - Epoch(train) [92][820/3757] lr: 1.000e-04 eta: 2:26:17 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 9.2125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3769 loss: 1.3769 2022/06/29 04:05:21 - mmengine - INFO - Epoch(train) [92][840/3757] lr: 1.000e-04 eta: 2:26:12 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 10.3676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8553 loss: 0.8553 2022/06/29 04:05:27 - mmengine - INFO - Epoch(train) [92][860/3757] lr: 1.000e-04 eta: 2:26:07 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 8.9615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9238 loss: 0.9238 2022/06/29 04:05:32 - mmengine - INFO - Epoch(train) [92][880/3757] lr: 1.000e-04 eta: 2:26:01 time: 0.215 data_time: 0.014 memory: 5150 grad_norm: 9.8233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9901 loss: 0.9901 2022/06/29 04:05:37 - mmengine - INFO - Epoch(train) [92][900/3757] lr: 1.000e-04 eta: 2:25:56 time: 0.194 data_time: 0.010 memory: 5150 grad_norm: 8.3307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9088 loss: 0.9088 2022/06/29 04:05:43 - mmengine - INFO - Epoch(train) [92][920/3757] lr: 1.000e-04 eta: 2:25:51 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.1917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1609 loss: 1.1609 2022/06/29 04:05:49 - mmengine - INFO - Epoch(train) [92][940/3757] lr: 1.000e-04 eta: 2:25:45 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 7.9686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7760 loss: 0.7760 2022/06/29 04:05:54 - mmengine - INFO - Epoch(train) [92][960/3757] lr: 1.000e-04 eta: 2:25:40 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.4212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4971 loss: 1.4971 2022/06/29 04:06:00 - mmengine - INFO - Epoch(train) [92][980/3757] lr: 1.000e-04 eta: 2:25:35 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.4509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/06/29 04:06:05 - mmengine - INFO - Epoch(train) [92][1000/3757] lr: 1.000e-04 eta: 2:25:29 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.9672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/06/29 04:06:10 - mmengine - INFO - Epoch(train) [92][1020/3757] lr: 1.000e-04 eta: 2:25:24 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.6834 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3399 loss: 1.3399 2022/06/29 04:06:16 - mmengine - INFO - Epoch(train) [92][1040/3757] lr: 1.000e-04 eta: 2:25:19 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.9235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/06/29 04:06:21 - mmengine - INFO - Epoch(train) [92][1060/3757] lr: 1.000e-04 eta: 2:25:14 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 9.9245 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/06/29 04:06:26 - mmengine - INFO - Epoch(train) [92][1080/3757] lr: 1.000e-04 eta: 2:25:08 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.6928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9226 loss: 0.9226 2022/06/29 04:06:31 - mmengine - INFO - Epoch(train) [92][1100/3757] lr: 1.000e-04 eta: 2:25:03 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.0480 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1780 loss: 1.1780 2022/06/29 04:06:35 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:06:37 - mmengine - INFO - Epoch(train) [92][1120/3757] lr: 1.000e-04 eta: 2:24:58 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.6950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/06/29 04:06:42 - mmengine - INFO - Epoch(train) [92][1140/3757] lr: 1.000e-04 eta: 2:24:52 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 8.7646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8432 loss: 0.8432 2022/06/29 04:06:48 - mmengine - INFO - Epoch(train) [92][1160/3757] lr: 1.000e-04 eta: 2:24:47 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.3817 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2956 loss: 1.2956 2022/06/29 04:06:53 - mmengine - INFO - Epoch(train) [92][1180/3757] lr: 1.000e-04 eta: 2:24:42 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 8.4242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/06/29 04:06:58 - mmengine - INFO - Epoch(train) [92][1200/3757] lr: 1.000e-04 eta: 2:24:36 time: 0.235 data_time: 0.012 memory: 5150 grad_norm: 9.3829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/06/29 04:07:04 - mmengine - INFO - Epoch(train) [92][1220/3757] lr: 1.000e-04 eta: 2:24:31 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 8.9474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1431 loss: 1.1431 2022/06/29 04:07:10 - mmengine - INFO - Epoch(train) [92][1240/3757] lr: 1.000e-04 eta: 2:24:26 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.8799 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0785 loss: 1.0785 2022/06/29 04:07:14 - mmengine - INFO - Epoch(train) [92][1260/3757] lr: 1.000e-04 eta: 2:24:20 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 11.5910 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0469 loss: 1.0469 2022/06/29 04:07:19 - mmengine - INFO - Epoch(train) [92][1280/3757] lr: 1.000e-04 eta: 2:24:15 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 8.6871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7178 loss: 0.7178 2022/06/29 04:07:25 - mmengine - INFO - Epoch(train) [92][1300/3757] lr: 1.000e-04 eta: 2:24:10 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.9797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8987 loss: 0.8987 2022/06/29 04:07:30 - mmengine - INFO - Epoch(train) [92][1320/3757] lr: 1.000e-04 eta: 2:24:04 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 8.3235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/06/29 04:07:35 - mmengine - INFO - Epoch(train) [92][1340/3757] lr: 1.000e-04 eta: 2:23:59 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.3414 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/06/29 04:07:40 - mmengine - INFO - Epoch(train) [92][1360/3757] lr: 1.000e-04 eta: 2:23:54 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 7.8231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2036 loss: 1.2036 2022/06/29 04:07:46 - mmengine - INFO - Epoch(train) [92][1380/3757] lr: 1.000e-04 eta: 2:23:48 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 8.3744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3598 loss: 1.3598 2022/06/29 04:07:51 - mmengine - INFO - Epoch(train) [92][1400/3757] lr: 1.000e-04 eta: 2:23:43 time: 0.200 data_time: 0.014 memory: 5150 grad_norm: 9.7290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/06/29 04:07:57 - mmengine - INFO - Epoch(train) [92][1420/3757] lr: 1.000e-04 eta: 2:23:38 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 8.1090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/06/29 04:08:02 - mmengine - INFO - Epoch(train) [92][1440/3757] lr: 1.000e-04 eta: 2:23:32 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 8.4705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0747 loss: 1.0747 2022/06/29 04:08:07 - mmengine - INFO - Epoch(train) [92][1460/3757] lr: 1.000e-04 eta: 2:23:27 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.8301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6777 loss: 0.6777 2022/06/29 04:08:13 - mmengine - INFO - Epoch(train) [92][1480/3757] lr: 1.000e-04 eta: 2:23:22 time: 0.197 data_time: 0.013 memory: 5150 grad_norm: 8.7247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7567 loss: 0.7567 2022/06/29 04:08:18 - mmengine - INFO - Epoch(train) [92][1500/3757] lr: 1.000e-04 eta: 2:23:16 time: 0.216 data_time: 0.014 memory: 5150 grad_norm: 10.1905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/06/29 04:08:23 - mmengine - INFO - Epoch(train) [92][1520/3757] lr: 1.000e-04 eta: 2:23:11 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 10.7646 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3246 loss: 1.3246 2022/06/29 04:08:29 - mmengine - INFO - Epoch(train) [92][1540/3757] lr: 1.000e-04 eta: 2:23:06 time: 0.217 data_time: 0.025 memory: 5150 grad_norm: 9.3153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0119 loss: 1.0119 2022/06/29 04:08:34 - mmengine - INFO - Epoch(train) [92][1560/3757] lr: 1.000e-04 eta: 2:23:00 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 10.2511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1051 loss: 1.1051 2022/06/29 04:08:39 - mmengine - INFO - Epoch(train) [92][1580/3757] lr: 1.000e-04 eta: 2:22:55 time: 0.325 data_time: 0.008 memory: 5150 grad_norm: 9.0272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1465 loss: 1.1465 2022/06/29 04:08:44 - mmengine - INFO - Epoch(train) [92][1600/3757] lr: 1.000e-04 eta: 2:22:50 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 10.0081 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1298 loss: 1.1298 2022/06/29 04:08:50 - mmengine - INFO - Epoch(train) [92][1620/3757] lr: 1.000e-04 eta: 2:22:44 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.9570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/06/29 04:08:55 - mmengine - INFO - Epoch(train) [92][1640/3757] lr: 1.000e-04 eta: 2:22:39 time: 0.328 data_time: 0.008 memory: 5150 grad_norm: 10.3928 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 0.9317 loss: 0.9317 2022/06/29 04:09:01 - mmengine - INFO - Epoch(train) [92][1660/3757] lr: 1.000e-04 eta: 2:22:34 time: 0.231 data_time: 0.052 memory: 5150 grad_norm: 8.9752 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2279 loss: 1.2279 2022/06/29 04:09:07 - mmengine - INFO - Epoch(train) [92][1680/3757] lr: 1.000e-04 eta: 2:22:29 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 11.6355 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9467 loss: 0.9467 2022/06/29 04:09:12 - mmengine - INFO - Epoch(train) [92][1700/3757] lr: 1.000e-04 eta: 2:22:23 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0094 loss: 1.0094 2022/06/29 04:09:17 - mmengine - INFO - Epoch(train) [92][1720/3757] lr: 1.000e-04 eta: 2:22:18 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 9.4160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3510 loss: 1.3510 2022/06/29 04:09:22 - mmengine - INFO - Epoch(train) [92][1740/3757] lr: 1.000e-04 eta: 2:22:13 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.2850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0519 loss: 1.0519 2022/06/29 04:09:27 - mmengine - INFO - Epoch(train) [92][1760/3757] lr: 1.000e-04 eta: 2:22:07 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 8.4243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0927 loss: 1.0927 2022/06/29 04:09:33 - mmengine - INFO - Epoch(train) [92][1780/3757] lr: 1.000e-04 eta: 2:22:02 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.7871 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6973 loss: 1.6973 2022/06/29 04:09:38 - mmengine - INFO - Epoch(train) [92][1800/3757] lr: 1.000e-04 eta: 2:21:57 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 9.4697 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1656 loss: 1.1656 2022/06/29 04:09:43 - mmengine - INFO - Epoch(train) [92][1820/3757] lr: 1.000e-04 eta: 2:21:51 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.2056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9895 loss: 0.9895 2022/06/29 04:09:49 - mmengine - INFO - Epoch(train) [92][1840/3757] lr: 1.000e-04 eta: 2:21:46 time: 0.219 data_time: 0.009 memory: 5150 grad_norm: 10.0515 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.0759 loss: 1.0759 2022/06/29 04:09:54 - mmengine - INFO - Epoch(train) [92][1860/3757] lr: 1.000e-04 eta: 2:21:41 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.4444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3866 loss: 1.3866 2022/06/29 04:10:00 - mmengine - INFO - Epoch(train) [92][1880/3757] lr: 1.000e-04 eta: 2:21:35 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.1255 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3720 loss: 1.3720 2022/06/29 04:10:05 - mmengine - INFO - Epoch(train) [92][1900/3757] lr: 1.000e-04 eta: 2:21:30 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.4976 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/06/29 04:10:11 - mmengine - INFO - Epoch(train) [92][1920/3757] lr: 1.000e-04 eta: 2:21:25 time: 0.252 data_time: 0.008 memory: 5150 grad_norm: 9.2525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0784 loss: 1.0784 2022/06/29 04:10:16 - mmengine - INFO - Epoch(train) [92][1940/3757] lr: 1.000e-04 eta: 2:21:19 time: 0.195 data_time: 0.010 memory: 5150 grad_norm: 10.4731 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1969 loss: 1.1969 2022/06/29 04:10:21 - mmengine - INFO - Epoch(train) [92][1960/3757] lr: 1.000e-04 eta: 2:21:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.3543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2944 loss: 1.2944 2022/06/29 04:10:27 - mmengine - INFO - Epoch(train) [92][1980/3757] lr: 1.000e-04 eta: 2:21:09 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 8.6103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9575 loss: 0.9575 2022/06/29 04:10:32 - mmengine - INFO - Epoch(train) [92][2000/3757] lr: 1.000e-04 eta: 2:21:03 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7492 loss: 0.7492 2022/06/29 04:10:37 - mmengine - INFO - Epoch(train) [92][2020/3757] lr: 1.000e-04 eta: 2:20:58 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 11.5188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/06/29 04:10:42 - mmengine - INFO - Epoch(train) [92][2040/3757] lr: 1.000e-04 eta: 2:20:53 time: 0.261 data_time: 0.008 memory: 5150 grad_norm: 10.5239 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4475 loss: 1.4475 2022/06/29 04:10:48 - mmengine - INFO - Epoch(train) [92][2060/3757] lr: 1.000e-04 eta: 2:20:47 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.8618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/06/29 04:10:53 - mmengine - INFO - Epoch(train) [92][2080/3757] lr: 1.000e-04 eta: 2:20:42 time: 0.197 data_time: 0.012 memory: 5150 grad_norm: 10.1491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2524 loss: 1.2524 2022/06/29 04:10:58 - mmengine - INFO - Epoch(train) [92][2100/3757] lr: 1.000e-04 eta: 2:20:37 time: 0.234 data_time: 0.010 memory: 5150 grad_norm: 9.0516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0191 loss: 1.0191 2022/06/29 04:11:02 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:11:03 - mmengine - INFO - Epoch(train) [92][2120/3757] lr: 1.000e-04 eta: 2:20:31 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 6.5375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2392 loss: 1.2392 2022/06/29 04:11:09 - mmengine - INFO - Epoch(train) [92][2140/3757] lr: 1.000e-04 eta: 2:20:26 time: 0.247 data_time: 0.043 memory: 5150 grad_norm: 9.6694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/06/29 04:11:14 - mmengine - INFO - Epoch(train) [92][2160/3757] lr: 1.000e-04 eta: 2:20:21 time: 0.271 data_time: 0.007 memory: 5150 grad_norm: 10.3442 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2098 loss: 1.2098 2022/06/29 04:11:19 - mmengine - INFO - Epoch(train) [92][2180/3757] lr: 1.000e-04 eta: 2:20:15 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 9.6654 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2137 loss: 1.2137 2022/06/29 04:11:25 - mmengine - INFO - Epoch(train) [92][2200/3757] lr: 1.000e-04 eta: 2:20:10 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 10.0956 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2939 loss: 1.2939 2022/06/29 04:11:31 - mmengine - INFO - Epoch(train) [92][2220/3757] lr: 1.000e-04 eta: 2:20:05 time: 1.146 data_time: 0.007 memory: 5150 grad_norm: 9.0055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2695 loss: 1.2695 2022/06/29 04:11:36 - mmengine - INFO - Epoch(train) [92][2240/3757] lr: 1.000e-04 eta: 2:20:00 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 11.1612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9839 loss: 0.9839 2022/06/29 04:11:41 - mmengine - INFO - Epoch(train) [92][2260/3757] lr: 1.000e-04 eta: 2:19:54 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 8.5357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0232 loss: 1.0232 2022/06/29 04:11:47 - mmengine - INFO - Epoch(train) [92][2280/3757] lr: 1.000e-04 eta: 2:19:49 time: 0.907 data_time: 0.010 memory: 5150 grad_norm: 10.1520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4191 loss: 1.4191 2022/06/29 04:11:52 - mmengine - INFO - Epoch(train) [92][2300/3757] lr: 1.000e-04 eta: 2:19:44 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.7840 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0890 loss: 1.0890 2022/06/29 04:11:57 - mmengine - INFO - Epoch(train) [92][2320/3757] lr: 1.000e-04 eta: 2:19:38 time: 0.196 data_time: 0.013 memory: 5150 grad_norm: 8.3968 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2753 loss: 1.2753 2022/06/29 04:12:03 - mmengine - INFO - Epoch(train) [92][2340/3757] lr: 1.000e-04 eta: 2:19:33 time: 0.939 data_time: 0.007 memory: 5150 grad_norm: 7.4480 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1495 loss: 1.1495 2022/06/29 04:12:08 - mmengine - INFO - Epoch(train) [92][2360/3757] lr: 1.000e-04 eta: 2:19:28 time: 0.234 data_time: 0.008 memory: 5150 grad_norm: 8.4911 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9542 loss: 0.9542 2022/06/29 04:12:13 - mmengine - INFO - Epoch(train) [92][2380/3757] lr: 1.000e-04 eta: 2:19:22 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.8233 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1373 loss: 1.1373 2022/06/29 04:12:19 - mmengine - INFO - Epoch(train) [92][2400/3757] lr: 1.000e-04 eta: 2:19:17 time: 1.389 data_time: 0.007 memory: 5150 grad_norm: 9.9398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2715 loss: 1.2715 2022/06/29 04:12:24 - mmengine - INFO - Epoch(train) [92][2420/3757] lr: 1.000e-04 eta: 2:19:12 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.8601 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9684 loss: 0.9684 2022/06/29 04:12:29 - mmengine - INFO - Epoch(train) [92][2440/3757] lr: 1.000e-04 eta: 2:19:06 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 10.9853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2713 loss: 1.2713 2022/06/29 04:12:34 - mmengine - INFO - Epoch(train) [92][2460/3757] lr: 1.000e-04 eta: 2:19:01 time: 0.755 data_time: 0.010 memory: 5150 grad_norm: 10.1318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/06/29 04:12:39 - mmengine - INFO - Epoch(train) [92][2480/3757] lr: 1.000e-04 eta: 2:18:56 time: 0.235 data_time: 0.021 memory: 5150 grad_norm: 9.3388 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8988 loss: 0.8988 2022/06/29 04:12:45 - mmengine - INFO - Epoch(train) [92][2500/3757] lr: 1.000e-04 eta: 2:18:50 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 10.9999 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/06/29 04:12:50 - mmengine - INFO - Epoch(train) [92][2520/3757] lr: 1.000e-04 eta: 2:18:45 time: 0.734 data_time: 0.009 memory: 5150 grad_norm: 10.4249 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.3202 loss: 1.3202 2022/06/29 04:12:56 - mmengine - INFO - Epoch(train) [92][2540/3757] lr: 1.000e-04 eta: 2:18:40 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 11.0815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2594 loss: 1.2594 2022/06/29 04:13:01 - mmengine - INFO - Epoch(train) [92][2560/3757] lr: 1.000e-04 eta: 2:18:34 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 10.0937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1159 loss: 1.1159 2022/06/29 04:13:06 - mmengine - INFO - Epoch(train) [92][2580/3757] lr: 1.000e-04 eta: 2:18:29 time: 0.254 data_time: 0.008 memory: 5150 grad_norm: 8.4651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3373 loss: 1.3373 2022/06/29 04:13:11 - mmengine - INFO - Epoch(train) [92][2600/3757] lr: 1.000e-04 eta: 2:18:24 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 9.7603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1324 loss: 1.1324 2022/06/29 04:13:17 - mmengine - INFO - Epoch(train) [92][2620/3757] lr: 1.000e-04 eta: 2:18:18 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.0835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/06/29 04:13:22 - mmengine - INFO - Epoch(train) [92][2640/3757] lr: 1.000e-04 eta: 2:18:13 time: 0.393 data_time: 0.007 memory: 5150 grad_norm: 9.5992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/06/29 04:13:27 - mmengine - INFO - Epoch(train) [92][2660/3757] lr: 1.000e-04 eta: 2:18:08 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.6774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1635 loss: 1.1635 2022/06/29 04:13:32 - mmengine - INFO - Epoch(train) [92][2680/3757] lr: 1.000e-04 eta: 2:18:02 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 7.9244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/06/29 04:13:38 - mmengine - INFO - Epoch(train) [92][2700/3757] lr: 1.000e-04 eta: 2:17:57 time: 0.946 data_time: 0.008 memory: 5150 grad_norm: 9.4295 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2033 loss: 1.2033 2022/06/29 04:13:43 - mmengine - INFO - Epoch(train) [92][2720/3757] lr: 1.000e-04 eta: 2:17:52 time: 0.230 data_time: 0.011 memory: 5150 grad_norm: 8.6546 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1089 loss: 1.1089 2022/06/29 04:13:49 - mmengine - INFO - Epoch(train) [92][2740/3757] lr: 1.000e-04 eta: 2:17:46 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 8.6697 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1492 loss: 1.1492 2022/06/29 04:13:54 - mmengine - INFO - Epoch(train) [92][2760/3757] lr: 1.000e-04 eta: 2:17:41 time: 1.067 data_time: 0.007 memory: 5150 grad_norm: 9.7556 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3934 loss: 1.3934 2022/06/29 04:13:59 - mmengine - INFO - Epoch(train) [92][2780/3757] lr: 1.000e-04 eta: 2:17:36 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 10.1419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0349 loss: 1.0349 2022/06/29 04:14:05 - mmengine - INFO - Epoch(train) [92][2800/3757] lr: 1.000e-04 eta: 2:17:30 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 7.8184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3678 loss: 1.3678 2022/06/29 04:14:09 - mmengine - INFO - Epoch(train) [92][2820/3757] lr: 1.000e-04 eta: 2:17:25 time: 0.254 data_time: 0.020 memory: 5150 grad_norm: 9.7659 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/06/29 04:14:15 - mmengine - INFO - Epoch(train) [92][2840/3757] lr: 1.000e-04 eta: 2:17:20 time: 0.246 data_time: 0.007 memory: 5150 grad_norm: 9.2970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2436 loss: 1.2436 2022/06/29 04:14:21 - mmengine - INFO - Epoch(train) [92][2860/3757] lr: 1.000e-04 eta: 2:17:15 time: 0.713 data_time: 0.010 memory: 5150 grad_norm: 9.9881 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2178 loss: 1.2178 2022/06/29 04:14:26 - mmengine - INFO - Epoch(train) [92][2880/3757] lr: 1.000e-04 eta: 2:17:09 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 10.1159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/06/29 04:14:32 - mmengine - INFO - Epoch(train) [92][2900/3757] lr: 1.000e-04 eta: 2:17:04 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.6007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1607 loss: 1.1607 2022/06/29 04:14:37 - mmengine - INFO - Epoch(train) [92][2920/3757] lr: 1.000e-04 eta: 2:16:59 time: 0.694 data_time: 0.008 memory: 5150 grad_norm: 11.2362 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0815 loss: 1.0815 2022/06/29 04:14:42 - mmengine - INFO - Epoch(train) [92][2940/3757] lr: 1.000e-04 eta: 2:16:53 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 8.9482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/06/29 04:14:48 - mmengine - INFO - Epoch(train) [92][2960/3757] lr: 1.000e-04 eta: 2:16:48 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 8.3948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8796 loss: 0.8796 2022/06/29 04:14:53 - mmengine - INFO - Epoch(train) [92][2980/3757] lr: 1.000e-04 eta: 2:16:43 time: 0.864 data_time: 0.008 memory: 5150 grad_norm: 10.5982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8849 loss: 1.8849 2022/06/29 04:14:58 - mmengine - INFO - Epoch(train) [92][3000/3757] lr: 1.000e-04 eta: 2:16:37 time: 0.221 data_time: 0.013 memory: 5150 grad_norm: 9.4302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/06/29 04:15:04 - mmengine - INFO - Epoch(train) [92][3020/3757] lr: 1.000e-04 eta: 2:16:32 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 8.8534 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/06/29 04:15:09 - mmengine - INFO - Epoch(train) [92][3040/3757] lr: 1.000e-04 eta: 2:16:27 time: 0.799 data_time: 0.008 memory: 5150 grad_norm: 8.9939 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8436 loss: 0.8436 2022/06/29 04:15:14 - mmengine - INFO - Epoch(train) [92][3060/3757] lr: 1.000e-04 eta: 2:16:21 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.4115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2325 loss: 1.2325 2022/06/29 04:15:20 - mmengine - INFO - Epoch(train) [92][3080/3757] lr: 1.000e-04 eta: 2:16:16 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 8.9763 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9016 loss: 0.9016 2022/06/29 04:15:25 - mmengine - INFO - Epoch(train) [92][3100/3757] lr: 1.000e-04 eta: 2:16:11 time: 0.779 data_time: 0.011 memory: 5150 grad_norm: 9.0034 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/06/29 04:15:29 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:15:30 - mmengine - INFO - Epoch(train) [92][3120/3757] lr: 1.000e-04 eta: 2:16:05 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 8.7152 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.3431 loss: 1.3431 2022/06/29 04:15:35 - mmengine - INFO - Epoch(train) [92][3140/3757] lr: 1.000e-04 eta: 2:16:00 time: 0.202 data_time: 0.015 memory: 5150 grad_norm: 8.5954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9174 loss: 0.9174 2022/06/29 04:15:40 - mmengine - INFO - Epoch(train) [92][3160/3757] lr: 1.000e-04 eta: 2:15:55 time: 0.735 data_time: 0.012 memory: 5150 grad_norm: 8.7878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8067 loss: 0.8067 2022/06/29 04:15:45 - mmengine - INFO - Epoch(train) [92][3180/3757] lr: 1.000e-04 eta: 2:15:49 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.0269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0813 loss: 1.0813 2022/06/29 04:15:51 - mmengine - INFO - Epoch(train) [92][3200/3757] lr: 1.000e-04 eta: 2:15:44 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 9.8777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7066 loss: 0.7066 2022/06/29 04:15:56 - mmengine - INFO - Epoch(train) [92][3220/3757] lr: 1.000e-04 eta: 2:15:39 time: 0.713 data_time: 0.018 memory: 5150 grad_norm: 10.0039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/06/29 04:16:01 - mmengine - INFO - Epoch(train) [92][3240/3757] lr: 1.000e-04 eta: 2:15:33 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.6818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9035 loss: 0.9035 2022/06/29 04:16:06 - mmengine - INFO - Epoch(train) [92][3260/3757] lr: 1.000e-04 eta: 2:15:28 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.9379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2526 loss: 1.2526 2022/06/29 04:16:12 - mmengine - INFO - Epoch(train) [92][3280/3757] lr: 1.000e-04 eta: 2:15:23 time: 0.383 data_time: 0.022 memory: 5150 grad_norm: 9.5598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1702 loss: 1.1702 2022/06/29 04:16:17 - mmengine - INFO - Epoch(train) [92][3300/3757] lr: 1.000e-04 eta: 2:15:17 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.6503 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4753 loss: 1.4753 2022/06/29 04:16:23 - mmengine - INFO - Epoch(train) [92][3320/3757] lr: 1.000e-04 eta: 2:15:12 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.2690 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4885 loss: 1.4885 2022/06/29 04:16:28 - mmengine - INFO - Epoch(train) [92][3340/3757] lr: 1.000e-04 eta: 2:15:07 time: 0.518 data_time: 0.017 memory: 5150 grad_norm: 11.0572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/06/29 04:16:33 - mmengine - INFO - Epoch(train) [92][3360/3757] lr: 1.000e-04 eta: 2:15:01 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.8856 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3498 loss: 1.3498 2022/06/29 04:16:38 - mmengine - INFO - Epoch(train) [92][3380/3757] lr: 1.000e-04 eta: 2:14:56 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 10.1332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0512 loss: 1.0512 2022/06/29 04:16:44 - mmengine - INFO - Epoch(train) [92][3400/3757] lr: 1.000e-04 eta: 2:14:51 time: 0.467 data_time: 0.013 memory: 5150 grad_norm: 9.0111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1898 loss: 1.1898 2022/06/29 04:16:49 - mmengine - INFO - Epoch(train) [92][3420/3757] lr: 1.000e-04 eta: 2:14:45 time: 0.198 data_time: 0.010 memory: 5150 grad_norm: 9.3401 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2358 loss: 1.2358 2022/06/29 04:16:54 - mmengine - INFO - Epoch(train) [92][3440/3757] lr: 1.000e-04 eta: 2:14:40 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.6323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/06/29 04:17:00 - mmengine - INFO - Epoch(train) [92][3460/3757] lr: 1.000e-04 eta: 2:14:35 time: 0.269 data_time: 0.030 memory: 5150 grad_norm: 8.3740 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4229 loss: 1.4229 2022/06/29 04:17:05 - mmengine - INFO - Epoch(train) [92][3480/3757] lr: 1.000e-04 eta: 2:14:29 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 10.9360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2121 loss: 1.2121 2022/06/29 04:17:10 - mmengine - INFO - Epoch(train) [92][3500/3757] lr: 1.000e-04 eta: 2:14:24 time: 0.196 data_time: 0.010 memory: 5150 grad_norm: 7.6640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8640 loss: 0.8640 2022/06/29 04:17:16 - mmengine - INFO - Epoch(train) [92][3520/3757] lr: 1.000e-04 eta: 2:14:19 time: 0.305 data_time: 0.018 memory: 5150 grad_norm: 8.8517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/06/29 04:17:22 - mmengine - INFO - Epoch(train) [92][3540/3757] lr: 1.000e-04 eta: 2:14:14 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 9.3610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2571 loss: 1.2571 2022/06/29 04:17:27 - mmengine - INFO - Epoch(train) [92][3560/3757] lr: 1.000e-04 eta: 2:14:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.0922 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1738 loss: 1.1738 2022/06/29 04:17:32 - mmengine - INFO - Epoch(train) [92][3580/3757] lr: 1.000e-04 eta: 2:14:03 time: 0.230 data_time: 0.033 memory: 5150 grad_norm: 8.1374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0136 loss: 1.0136 2022/06/29 04:17:38 - mmengine - INFO - Epoch(train) [92][3600/3757] lr: 1.000e-04 eta: 2:13:58 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 9.3871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1761 loss: 1.1761 2022/06/29 04:17:43 - mmengine - INFO - Epoch(train) [92][3620/3757] lr: 1.000e-04 eta: 2:13:52 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.3405 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0753 loss: 1.0753 2022/06/29 04:17:49 - mmengine - INFO - Epoch(train) [92][3640/3757] lr: 1.000e-04 eta: 2:13:47 time: 0.214 data_time: 0.026 memory: 5150 grad_norm: 8.3738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0985 loss: 1.0985 2022/06/29 04:17:54 - mmengine - INFO - Epoch(train) [92][3660/3757] lr: 1.000e-04 eta: 2:13:42 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 9.7919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4035 loss: 1.4035 2022/06/29 04:17:59 - mmengine - INFO - Epoch(train) [92][3680/3757] lr: 1.000e-04 eta: 2:13:36 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 10.3906 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1568 loss: 1.1568 2022/06/29 04:18:05 - mmengine - INFO - Epoch(train) [92][3700/3757] lr: 1.000e-04 eta: 2:13:31 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 11.8892 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3763 loss: 1.3763 2022/06/29 04:18:10 - mmengine - INFO - Epoch(train) [92][3720/3757] lr: 1.000e-04 eta: 2:13:26 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 9.9786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/06/29 04:18:15 - mmengine - INFO - Epoch(train) [92][3740/3757] lr: 1.000e-04 eta: 2:13:20 time: 0.202 data_time: 0.013 memory: 5150 grad_norm: 8.6669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2385 loss: 1.2385 2022/06/29 04:18:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:18:51 - mmengine - INFO - Epoch(val) [92][20/310] eta: 0:05:47 time: 1.070 data_time: 0.429 memory: 9746 2022/06/29 04:19:13 - mmengine - INFO - Epoch(val) [92][40/310] eta: 0:04:46 time: 1.011 data_time: 0.342 memory: 9746 2022/06/29 04:19:36 - mmengine - INFO - Epoch(val) [92][60/310] eta: 0:04:17 time: 1.188 data_time: 0.534 memory: 9746 2022/06/29 04:20:00 - mmengine - INFO - Epoch(val) [92][80/310] eta: 0:04:45 time: 1.101 data_time: 0.457 memory: 9746 2022/06/29 04:20:23 - mmengine - INFO - Epoch(val) [92][100/310] eta: 0:04:13 time: 2.407 data_time: 1.725 memory: 9746 2022/06/29 04:20:45 - mmengine - INFO - Epoch(val) [92][120/310] eta: 0:03:24 time: 1.165 data_time: 0.519 memory: 9746 2022/06/29 04:21:09 - mmengine - INFO - Epoch(val) [92][140/310] eta: 0:03:19 time: 1.075 data_time: 0.460 memory: 9746 2022/06/29 04:21:34 - mmengine - INFO - Epoch(val) [92][160/310] eta: 0:03:16 time: 3.824 data_time: 3.136 memory: 9746 2022/06/29 04:21:57 - mmengine - INFO - Epoch(val) [92][180/310] eta: 0:02:46 time: 1.025 data_time: 0.380 memory: 9746 2022/06/29 04:22:20 - mmengine - INFO - Epoch(val) [92][200/310] eta: 0:02:08 time: 1.105 data_time: 0.439 memory: 9746 2022/06/29 04:22:41 - mmengine - INFO - Epoch(val) [92][220/310] eta: 0:01:37 time: 1.067 data_time: 0.413 memory: 9746 2022/06/29 04:23:03 - mmengine - INFO - Epoch(val) [92][240/310] eta: 0:01:12 time: 1.035 data_time: 0.406 memory: 9746 2022/06/29 04:23:26 - mmengine - INFO - Epoch(val) [92][260/310] eta: 0:00:58 time: 1.035 data_time: 0.388 memory: 9746 2022/06/29 04:23:49 - mmengine - INFO - Epoch(val) [92][280/310] eta: 0:00:33 time: 1.755 data_time: 1.099 memory: 9746 2022/06/29 04:24:08 - mmengine - INFO - Epoch(val) [92][300/310] eta: 0:00:08 time: 0.653 data_time: 0.081 memory: 9746 2022/06/29 04:24:21 - mmengine - INFO - Epoch(val) [92][310/310] acc/top1: 0.7234 acc/top5: 0.9055 acc/mean1: 0.7233 2022/06/29 04:24:30 - mmengine - INFO - Epoch(train) [93][20/3757] lr: 1.000e-04 eta: 2:13:11 time: 0.204 data_time: 0.017 memory: 9746 grad_norm: 9.5090 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9847 loss: 0.9847 2022/06/29 04:24:36 - mmengine - INFO - Epoch(train) [93][40/3757] lr: 1.000e-04 eta: 2:13:05 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.6362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/06/29 04:24:41 - mmengine - INFO - Epoch(train) [93][60/3757] lr: 1.000e-04 eta: 2:13:00 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.1822 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2572 loss: 1.2572 2022/06/29 04:24:46 - mmengine - INFO - Epoch(train) [93][80/3757] lr: 1.000e-04 eta: 2:12:55 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 10.2585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/06/29 04:24:52 - mmengine - INFO - Epoch(train) [93][100/3757] lr: 1.000e-04 eta: 2:12:49 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 6.8106 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/06/29 04:24:57 - mmengine - INFO - Epoch(train) [93][120/3757] lr: 1.000e-04 eta: 2:12:44 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.6482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/06/29 04:25:03 - mmengine - INFO - Epoch(train) [93][140/3757] lr: 1.000e-04 eta: 2:12:39 time: 0.206 data_time: 0.027 memory: 5150 grad_norm: 9.5453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1370 loss: 1.1370 2022/06/29 04:25:08 - mmengine - INFO - Epoch(train) [93][160/3757] lr: 1.000e-04 eta: 2:12:33 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.5414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4294 loss: 1.4294 2022/06/29 04:25:13 - mmengine - INFO - Epoch(train) [93][180/3757] lr: 1.000e-04 eta: 2:12:28 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 7.8123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7062 loss: 0.7062 2022/06/29 04:25:19 - mmengine - INFO - Epoch(train) [93][200/3757] lr: 1.000e-04 eta: 2:12:23 time: 0.204 data_time: 0.013 memory: 5150 grad_norm: 11.5987 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0308 loss: 1.0308 2022/06/29 04:25:25 - mmengine - INFO - Epoch(train) [93][220/3757] lr: 1.000e-04 eta: 2:12:17 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.0183 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3370 loss: 1.3370 2022/06/29 04:25:29 - mmengine - INFO - Epoch(train) [93][240/3757] lr: 1.000e-04 eta: 2:12:12 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 12.0157 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0084 loss: 1.0084 2022/06/29 04:25:35 - mmengine - INFO - Epoch(train) [93][260/3757] lr: 1.000e-04 eta: 2:12:07 time: 0.197 data_time: 0.019 memory: 5150 grad_norm: 9.1977 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1519 loss: 1.1519 2022/06/29 04:25:41 - mmengine - INFO - Epoch(train) [93][280/3757] lr: 1.000e-04 eta: 2:12:01 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.3911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4092 loss: 1.4092 2022/06/29 04:25:46 - mmengine - INFO - Epoch(train) [93][300/3757] lr: 1.000e-04 eta: 2:11:56 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.2184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2740 loss: 1.2740 2022/06/29 04:25:51 - mmengine - INFO - Epoch(train) [93][320/3757] lr: 1.000e-04 eta: 2:11:51 time: 0.227 data_time: 0.019 memory: 5150 grad_norm: 8.0998 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1202 loss: 1.1202 2022/06/29 04:25:56 - mmengine - INFO - Epoch(train) [93][340/3757] lr: 1.000e-04 eta: 2:11:45 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.2893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2758 loss: 1.2758 2022/06/29 04:26:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:26:02 - mmengine - INFO - Epoch(train) [93][360/3757] lr: 1.000e-04 eta: 2:11:40 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.3248 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9002 loss: 0.9002 2022/06/29 04:26:07 - mmengine - INFO - Epoch(train) [93][380/3757] lr: 1.000e-04 eta: 2:11:35 time: 0.203 data_time: 0.019 memory: 5150 grad_norm: 9.5308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2207 loss: 1.2207 2022/06/29 04:26:12 - mmengine - INFO - Epoch(train) [93][400/3757] lr: 1.000e-04 eta: 2:11:29 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 11.0731 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1416 loss: 1.1416 2022/06/29 04:26:17 - mmengine - INFO - Epoch(train) [93][420/3757] lr: 1.000e-04 eta: 2:11:24 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.0817 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3869 loss: 1.3869 2022/06/29 04:26:23 - mmengine - INFO - Epoch(train) [93][440/3757] lr: 1.000e-04 eta: 2:11:19 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 10.7826 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4580 loss: 1.4580 2022/06/29 04:26:28 - mmengine - INFO - Epoch(train) [93][460/3757] lr: 1.000e-04 eta: 2:11:14 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 9.9717 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3933 loss: 1.3933 2022/06/29 04:26:34 - mmengine - INFO - Epoch(train) [93][480/3757] lr: 1.000e-04 eta: 2:11:08 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 7.9843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3411 loss: 1.3411 2022/06/29 04:26:39 - mmengine - INFO - Epoch(train) [93][500/3757] lr: 1.000e-04 eta: 2:11:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.9140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4987 loss: 1.4987 2022/06/29 04:26:44 - mmengine - INFO - Epoch(train) [93][520/3757] lr: 1.000e-04 eta: 2:10:58 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.6896 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2162 loss: 1.2162 2022/06/29 04:26:49 - mmengine - INFO - Epoch(train) [93][540/3757] lr: 1.000e-04 eta: 2:10:52 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 8.5504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4841 loss: 1.4841 2022/06/29 04:26:55 - mmengine - INFO - Epoch(train) [93][560/3757] lr: 1.000e-04 eta: 2:10:47 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4260 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1555 loss: 1.1555 2022/06/29 04:27:01 - mmengine - INFO - Epoch(train) [93][580/3757] lr: 1.000e-04 eta: 2:10:42 time: 0.227 data_time: 0.012 memory: 5150 grad_norm: 10.4451 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1107 loss: 1.1107 2022/06/29 04:27:05 - mmengine - INFO - Epoch(train) [93][600/3757] lr: 1.000e-04 eta: 2:10:36 time: 0.191 data_time: 0.008 memory: 5150 grad_norm: 9.2876 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9801 loss: 0.9801 2022/06/29 04:27:11 - mmengine - INFO - Epoch(train) [93][620/3757] lr: 1.000e-04 eta: 2:10:31 time: 0.216 data_time: 0.009 memory: 5150 grad_norm: 9.5446 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1450 loss: 1.1450 2022/06/29 04:27:16 - mmengine - INFO - Epoch(train) [93][640/3757] lr: 1.000e-04 eta: 2:10:26 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 10.1128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0643 loss: 1.0643 2022/06/29 04:27:21 - mmengine - INFO - Epoch(train) [93][660/3757] lr: 1.000e-04 eta: 2:10:20 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.2857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1618 loss: 1.1618 2022/06/29 04:27:27 - mmengine - INFO - Epoch(train) [93][680/3757] lr: 1.000e-04 eta: 2:10:15 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.4602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7783 loss: 0.7783 2022/06/29 04:27:32 - mmengine - INFO - Epoch(train) [93][700/3757] lr: 1.000e-04 eta: 2:10:10 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.9962 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0698 loss: 1.0698 2022/06/29 04:27:36 - mmengine - INFO - Epoch(train) [93][720/3757] lr: 1.000e-04 eta: 2:10:04 time: 0.213 data_time: 0.012 memory: 5150 grad_norm: 10.5055 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1478 loss: 1.1478 2022/06/29 04:27:43 - mmengine - INFO - Epoch(train) [93][740/3757] lr: 1.000e-04 eta: 2:09:59 time: 0.211 data_time: 0.009 memory: 5150 grad_norm: 10.0309 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3119 loss: 1.3119 2022/06/29 04:27:48 - mmengine - INFO - Epoch(train) [93][760/3757] lr: 1.000e-04 eta: 2:09:54 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 7.9689 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1034 loss: 1.1034 2022/06/29 04:27:53 - mmengine - INFO - Epoch(train) [93][780/3757] lr: 1.000e-04 eta: 2:09:48 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.0306 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0280 loss: 1.0280 2022/06/29 04:27:59 - mmengine - INFO - Epoch(train) [93][800/3757] lr: 1.000e-04 eta: 2:09:43 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.0865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2806 loss: 1.2806 2022/06/29 04:28:04 - mmengine - INFO - Epoch(train) [93][820/3757] lr: 1.000e-04 eta: 2:09:38 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 9.3607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1740 loss: 1.1740 2022/06/29 04:28:09 - mmengine - INFO - Epoch(train) [93][840/3757] lr: 1.000e-04 eta: 2:09:32 time: 0.219 data_time: 0.009 memory: 5150 grad_norm: 8.9347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1170 loss: 1.1170 2022/06/29 04:28:15 - mmengine - INFO - Epoch(train) [93][860/3757] lr: 1.000e-04 eta: 2:09:27 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 9.9138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/06/29 04:28:21 - mmengine - INFO - Epoch(train) [93][880/3757] lr: 1.000e-04 eta: 2:09:22 time: 0.239 data_time: 0.012 memory: 5150 grad_norm: 8.2766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0693 loss: 1.0693 2022/06/29 04:28:26 - mmengine - INFO - Epoch(train) [93][900/3757] lr: 1.000e-04 eta: 2:09:16 time: 0.222 data_time: 0.012 memory: 5150 grad_norm: 8.2338 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6378 loss: 1.6378 2022/06/29 04:28:31 - mmengine - INFO - Epoch(train) [93][920/3757] lr: 1.000e-04 eta: 2:09:11 time: 0.331 data_time: 0.008 memory: 5150 grad_norm: 8.9463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3120 loss: 1.3120 2022/06/29 04:28:36 - mmengine - INFO - Epoch(train) [93][940/3757] lr: 1.000e-04 eta: 2:09:06 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.6467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1775 loss: 1.1775 2022/06/29 04:28:41 - mmengine - INFO - Epoch(train) [93][960/3757] lr: 1.000e-04 eta: 2:09:00 time: 0.232 data_time: 0.008 memory: 5150 grad_norm: 9.4764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1995 loss: 1.1995 2022/06/29 04:28:46 - mmengine - INFO - Epoch(train) [93][980/3757] lr: 1.000e-04 eta: 2:08:55 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.1281 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/06/29 04:28:52 - mmengine - INFO - Epoch(train) [93][1000/3757] lr: 1.000e-04 eta: 2:08:50 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 8.6545 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1240 loss: 1.1240 2022/06/29 04:28:57 - mmengine - INFO - Epoch(train) [93][1020/3757] lr: 1.000e-04 eta: 2:08:44 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.7360 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6425 loss: 1.6425 2022/06/29 04:29:02 - mmengine - INFO - Epoch(train) [93][1040/3757] lr: 1.000e-04 eta: 2:08:39 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.5300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9993 loss: 0.9993 2022/06/29 04:29:08 - mmengine - INFO - Epoch(train) [93][1060/3757] lr: 1.000e-04 eta: 2:08:34 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.8752 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9584 loss: 0.9584 2022/06/29 04:29:13 - mmengine - INFO - Epoch(train) [93][1080/3757] lr: 1.000e-04 eta: 2:08:29 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.7016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/06/29 04:29:19 - mmengine - INFO - Epoch(train) [93][1100/3757] lr: 1.000e-04 eta: 2:08:23 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.9386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4471 loss: 1.4471 2022/06/29 04:29:24 - mmengine - INFO - Epoch(train) [93][1120/3757] lr: 1.000e-04 eta: 2:08:18 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 9.1880 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4166 loss: 1.4166 2022/06/29 04:29:29 - mmengine - INFO - Epoch(train) [93][1140/3757] lr: 1.000e-04 eta: 2:08:13 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.8416 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/06/29 04:29:34 - mmengine - INFO - Epoch(train) [93][1160/3757] lr: 1.000e-04 eta: 2:08:07 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 7.2385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/06/29 04:29:40 - mmengine - INFO - Epoch(train) [93][1180/3757] lr: 1.000e-04 eta: 2:08:02 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.6831 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9943 loss: 0.9943 2022/06/29 04:29:44 - mmengine - INFO - Epoch(train) [93][1200/3757] lr: 1.000e-04 eta: 2:07:57 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 8.6077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2681 loss: 1.2681 2022/06/29 04:29:50 - mmengine - INFO - Epoch(train) [93][1220/3757] lr: 1.000e-04 eta: 2:07:51 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 10.0479 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1192 loss: 1.1192 2022/06/29 04:29:56 - mmengine - INFO - Epoch(train) [93][1240/3757] lr: 1.000e-04 eta: 2:07:46 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1123 loss: 1.1123 2022/06/29 04:30:01 - mmengine - INFO - Epoch(train) [93][1260/3757] lr: 1.000e-04 eta: 2:07:41 time: 0.238 data_time: 0.014 memory: 5150 grad_norm: 9.2885 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3529 loss: 1.3529 2022/06/29 04:30:07 - mmengine - INFO - Epoch(train) [93][1280/3757] lr: 1.000e-04 eta: 2:07:35 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.7516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3159 loss: 1.3159 2022/06/29 04:30:12 - mmengine - INFO - Epoch(train) [93][1300/3757] lr: 1.000e-04 eta: 2:07:30 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.7700 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2170 loss: 1.2170 2022/06/29 04:30:17 - mmengine - INFO - Epoch(train) [93][1320/3757] lr: 1.000e-04 eta: 2:07:25 time: 0.211 data_time: 0.013 memory: 5150 grad_norm: 9.3193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2893 loss: 1.2893 2022/06/29 04:30:23 - mmengine - INFO - Epoch(train) [93][1340/3757] lr: 1.000e-04 eta: 2:07:19 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 7.9117 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4939 loss: 1.4939 2022/06/29 04:30:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:30:28 - mmengine - INFO - Epoch(train) [93][1360/3757] lr: 1.000e-04 eta: 2:07:14 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.3740 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3270 loss: 1.3270 2022/06/29 04:30:33 - mmengine - INFO - Epoch(train) [93][1380/3757] lr: 1.000e-04 eta: 2:07:09 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 8.1737 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3451 loss: 1.3451 2022/06/29 04:30:39 - mmengine - INFO - Epoch(train) [93][1400/3757] lr: 1.000e-04 eta: 2:07:03 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.5381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1126 loss: 1.1126 2022/06/29 04:30:44 - mmengine - INFO - Epoch(train) [93][1420/3757] lr: 1.000e-04 eta: 2:06:58 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 11.0679 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9396 loss: 0.9396 2022/06/29 04:30:49 - mmengine - INFO - Epoch(train) [93][1440/3757] lr: 1.000e-04 eta: 2:06:53 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 9.8137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1016 loss: 1.1016 2022/06/29 04:30:54 - mmengine - INFO - Epoch(train) [93][1460/3757] lr: 1.000e-04 eta: 2:06:47 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.0314 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1031 loss: 1.1031 2022/06/29 04:31:00 - mmengine - INFO - Epoch(train) [93][1480/3757] lr: 1.000e-04 eta: 2:06:42 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.2802 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3380 loss: 1.3380 2022/06/29 04:31:05 - mmengine - INFO - Epoch(train) [93][1500/3757] lr: 1.000e-04 eta: 2:06:37 time: 0.199 data_time: 0.018 memory: 5150 grad_norm: 10.5757 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3499 loss: 1.3499 2022/06/29 04:31:10 - mmengine - INFO - Epoch(train) [93][1520/3757] lr: 1.000e-04 eta: 2:06:31 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 10.1804 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3008 loss: 1.3008 2022/06/29 04:31:16 - mmengine - INFO - Epoch(train) [93][1540/3757] lr: 1.000e-04 eta: 2:06:26 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 10.3728 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0289 loss: 1.0289 2022/06/29 04:31:21 - mmengine - INFO - Epoch(train) [93][1560/3757] lr: 1.000e-04 eta: 2:06:21 time: 0.201 data_time: 0.017 memory: 5150 grad_norm: 9.0506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/06/29 04:31:26 - mmengine - INFO - Epoch(train) [93][1580/3757] lr: 1.000e-04 eta: 2:06:15 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3835 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2885 loss: 1.2885 2022/06/29 04:31:32 - mmengine - INFO - Epoch(train) [93][1600/3757] lr: 1.000e-04 eta: 2:06:10 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6871 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1868 loss: 1.1868 2022/06/29 04:31:37 - mmengine - INFO - Epoch(train) [93][1620/3757] lr: 1.000e-04 eta: 2:06:05 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.0479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0462 loss: 1.0462 2022/06/29 04:31:42 - mmengine - INFO - Epoch(train) [93][1640/3757] lr: 1.000e-04 eta: 2:05:59 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 9.2981 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8998 loss: 0.8998 2022/06/29 04:31:48 - mmengine - INFO - Epoch(train) [93][1660/3757] lr: 1.000e-04 eta: 2:05:54 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.4523 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2707 loss: 1.2707 2022/06/29 04:31:53 - mmengine - INFO - Epoch(train) [93][1680/3757] lr: 1.000e-04 eta: 2:05:49 time: 0.192 data_time: 0.014 memory: 5150 grad_norm: 10.5408 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0455 loss: 1.0455 2022/06/29 04:31:59 - mmengine - INFO - Epoch(train) [93][1700/3757] lr: 1.000e-04 eta: 2:05:44 time: 0.225 data_time: 0.010 memory: 5150 grad_norm: 10.2380 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9717 loss: 0.9717 2022/06/29 04:32:04 - mmengine - INFO - Epoch(train) [93][1720/3757] lr: 1.000e-04 eta: 2:05:38 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.8015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9249 loss: 0.9249 2022/06/29 04:32:09 - mmengine - INFO - Epoch(train) [93][1740/3757] lr: 1.000e-04 eta: 2:05:33 time: 0.246 data_time: 0.014 memory: 5150 grad_norm: 9.0688 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7941 loss: 0.7941 2022/06/29 04:32:14 - mmengine - INFO - Epoch(train) [93][1760/3757] lr: 1.000e-04 eta: 2:05:28 time: 0.217 data_time: 0.014 memory: 5150 grad_norm: 8.7394 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/06/29 04:32:20 - mmengine - INFO - Epoch(train) [93][1780/3757] lr: 1.000e-04 eta: 2:05:22 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.5878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/06/29 04:32:25 - mmengine - INFO - Epoch(train) [93][1800/3757] lr: 1.000e-04 eta: 2:05:17 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 8.6694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8870 loss: 0.8870 2022/06/29 04:32:30 - mmengine - INFO - Epoch(train) [93][1820/3757] lr: 1.000e-04 eta: 2:05:12 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7449 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5324 loss: 1.5324 2022/06/29 04:32:36 - mmengine - INFO - Epoch(train) [93][1840/3757] lr: 1.000e-04 eta: 2:05:06 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 9.0396 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2283 loss: 1.2283 2022/06/29 04:32:40 - mmengine - INFO - Epoch(train) [93][1860/3757] lr: 1.000e-04 eta: 2:05:01 time: 0.220 data_time: 0.017 memory: 5150 grad_norm: 9.4723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1101 loss: 1.1101 2022/06/29 04:32:46 - mmengine - INFO - Epoch(train) [93][1880/3757] lr: 1.000e-04 eta: 2:04:56 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 11.4129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5547 loss: 1.5547 2022/06/29 04:32:51 - mmengine - INFO - Epoch(train) [93][1900/3757] lr: 1.000e-04 eta: 2:04:50 time: 0.325 data_time: 0.008 memory: 5150 grad_norm: 9.4529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2888 loss: 1.2888 2022/06/29 04:32:56 - mmengine - INFO - Epoch(train) [93][1920/3757] lr: 1.000e-04 eta: 2:04:45 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 8.5680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0519 loss: 1.0519 2022/06/29 04:33:02 - mmengine - INFO - Epoch(train) [93][1940/3757] lr: 1.000e-04 eta: 2:04:40 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 10.7257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3124 loss: 1.3124 2022/06/29 04:33:07 - mmengine - INFO - Epoch(train) [93][1960/3757] lr: 1.000e-04 eta: 2:04:34 time: 0.211 data_time: 0.020 memory: 5150 grad_norm: 10.8185 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9481 loss: 0.9481 2022/06/29 04:33:13 - mmengine - INFO - Epoch(train) [93][1980/3757] lr: 1.000e-04 eta: 2:04:29 time: 0.405 data_time: 0.013 memory: 5150 grad_norm: 9.6907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/06/29 04:33:18 - mmengine - INFO - Epoch(train) [93][2000/3757] lr: 1.000e-04 eta: 2:04:24 time: 0.584 data_time: 0.010 memory: 5150 grad_norm: 9.9043 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3620 loss: 1.3620 2022/06/29 04:33:23 - mmengine - INFO - Epoch(train) [93][2020/3757] lr: 1.000e-04 eta: 2:04:18 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.1112 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2249 loss: 1.2249 2022/06/29 04:33:28 - mmengine - INFO - Epoch(train) [93][2040/3757] lr: 1.000e-04 eta: 2:04:13 time: 0.204 data_time: 0.021 memory: 5150 grad_norm: 9.0991 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1312 loss: 1.1312 2022/06/29 04:33:34 - mmengine - INFO - Epoch(train) [93][2060/3757] lr: 1.000e-04 eta: 2:04:08 time: 0.675 data_time: 0.018 memory: 5150 grad_norm: 11.3400 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/06/29 04:33:39 - mmengine - INFO - Epoch(train) [93][2080/3757] lr: 1.000e-04 eta: 2:04:02 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.6213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9920 loss: 0.9920 2022/06/29 04:33:45 - mmengine - INFO - Epoch(train) [93][2100/3757] lr: 1.000e-04 eta: 2:03:57 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 8.8725 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/06/29 04:33:50 - mmengine - INFO - Epoch(train) [93][2120/3757] lr: 1.000e-04 eta: 2:03:52 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.3966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6053 loss: 1.6053 2022/06/29 04:33:55 - mmengine - INFO - Epoch(train) [93][2140/3757] lr: 1.000e-04 eta: 2:03:46 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 9.9193 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4387 loss: 1.4387 2022/06/29 04:34:01 - mmengine - INFO - Epoch(train) [93][2160/3757] lr: 1.000e-04 eta: 2:03:41 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.2874 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/06/29 04:34:06 - mmengine - INFO - Epoch(train) [93][2180/3757] lr: 1.000e-04 eta: 2:03:36 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 6.8570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/06/29 04:34:11 - mmengine - INFO - Epoch(train) [93][2200/3757] lr: 1.000e-04 eta: 2:03:30 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 7.2274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0045 loss: 1.0045 2022/06/29 04:34:17 - mmengine - INFO - Epoch(train) [93][2220/3757] lr: 1.000e-04 eta: 2:03:25 time: 0.206 data_time: 0.020 memory: 5150 grad_norm: 9.0324 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0098 loss: 1.0098 2022/06/29 04:34:22 - mmengine - INFO - Epoch(train) [93][2240/3757] lr: 1.000e-04 eta: 2:03:20 time: 0.807 data_time: 0.012 memory: 5150 grad_norm: 11.1528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1824 loss: 1.1824 2022/06/29 04:34:27 - mmengine - INFO - Epoch(train) [93][2260/3757] lr: 1.000e-04 eta: 2:03:14 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.6747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2249 loss: 1.2249 2022/06/29 04:34:33 - mmengine - INFO - Epoch(train) [93][2280/3757] lr: 1.000e-04 eta: 2:03:09 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 9.8700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3809 loss: 1.3809 2022/06/29 04:34:39 - mmengine - INFO - Epoch(train) [93][2300/3757] lr: 1.000e-04 eta: 2:03:04 time: 1.161 data_time: 0.016 memory: 5150 grad_norm: 10.1402 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5199 loss: 1.5199 2022/06/29 04:34:44 - mmengine - INFO - Epoch(train) [93][2320/3757] lr: 1.000e-04 eta: 2:02:59 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 8.5846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9180 loss: 0.9180 2022/06/29 04:34:49 - mmengine - INFO - Epoch(train) [93][2340/3757] lr: 1.000e-04 eta: 2:02:53 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 10.9399 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1264 loss: 1.1264 2022/06/29 04:34:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:34:54 - mmengine - INFO - Epoch(train) [93][2360/3757] lr: 1.000e-04 eta: 2:02:48 time: 0.627 data_time: 0.030 memory: 5150 grad_norm: 9.2404 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0410 loss: 1.0410 2022/06/29 04:34:59 - mmengine - INFO - Epoch(train) [93][2380/3757] lr: 1.000e-04 eta: 2:02:43 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 10.2678 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9753 loss: 0.9753 2022/06/29 04:35:05 - mmengine - INFO - Epoch(train) [93][2400/3757] lr: 1.000e-04 eta: 2:02:37 time: 0.520 data_time: 0.007 memory: 5150 grad_norm: 9.6539 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 0.8826 loss: 0.8826 2022/06/29 04:35:10 - mmengine - INFO - Epoch(train) [93][2420/3757] lr: 1.000e-04 eta: 2:02:32 time: 0.673 data_time: 0.036 memory: 5150 grad_norm: 10.0851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3366 loss: 1.3366 2022/06/29 04:35:15 - mmengine - INFO - Epoch(train) [93][2440/3757] lr: 1.000e-04 eta: 2:02:27 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 8.2610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3075 loss: 1.3075 2022/06/29 04:35:21 - mmengine - INFO - Epoch(train) [93][2460/3757] lr: 1.000e-04 eta: 2:02:21 time: 0.527 data_time: 0.008 memory: 5150 grad_norm: 7.7271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3149 loss: 1.3149 2022/06/29 04:35:26 - mmengine - INFO - Epoch(train) [93][2480/3757] lr: 1.000e-04 eta: 2:02:16 time: 0.582 data_time: 0.046 memory: 5150 grad_norm: 9.5109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0159 loss: 1.0159 2022/06/29 04:35:32 - mmengine - INFO - Epoch(train) [93][2500/3757] lr: 1.000e-04 eta: 2:02:11 time: 0.287 data_time: 0.008 memory: 5150 grad_norm: 8.3297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3559 loss: 1.3559 2022/06/29 04:35:37 - mmengine - INFO - Epoch(train) [93][2520/3757] lr: 1.000e-04 eta: 2:02:05 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.9325 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2189 loss: 1.2189 2022/06/29 04:35:42 - mmengine - INFO - Epoch(train) [93][2540/3757] lr: 1.000e-04 eta: 2:02:00 time: 0.357 data_time: 0.038 memory: 5150 grad_norm: 8.2682 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7970 loss: 0.7970 2022/06/29 04:35:47 - mmengine - INFO - Epoch(train) [93][2560/3757] lr: 1.000e-04 eta: 2:01:55 time: 0.712 data_time: 0.008 memory: 5150 grad_norm: 10.5907 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1294 loss: 1.1294 2022/06/29 04:35:53 - mmengine - INFO - Epoch(train) [93][2580/3757] lr: 1.000e-04 eta: 2:01:49 time: 0.461 data_time: 0.007 memory: 5150 grad_norm: 7.8438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0944 loss: 1.0944 2022/06/29 04:35:58 - mmengine - INFO - Epoch(train) [93][2600/3757] lr: 1.000e-04 eta: 2:01:44 time: 0.511 data_time: 0.330 memory: 5150 grad_norm: 9.9200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6845 loss: 0.6845 2022/06/29 04:36:03 - mmengine - INFO - Epoch(train) [93][2620/3757] lr: 1.000e-04 eta: 2:01:39 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.3138 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/06/29 04:36:08 - mmengine - INFO - Epoch(train) [93][2640/3757] lr: 1.000e-04 eta: 2:01:33 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8233 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/06/29 04:36:13 - mmengine - INFO - Epoch(train) [93][2660/3757] lr: 1.000e-04 eta: 2:01:28 time: 0.217 data_time: 0.035 memory: 5150 grad_norm: 9.4894 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6258 loss: 1.6258 2022/06/29 04:36:19 - mmengine - INFO - Epoch(train) [93][2680/3757] lr: 1.000e-04 eta: 2:01:23 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.1118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/06/29 04:36:24 - mmengine - INFO - Epoch(train) [93][2700/3757] lr: 1.000e-04 eta: 2:01:17 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 11.3727 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0161 loss: 1.0161 2022/06/29 04:36:29 - mmengine - INFO - Epoch(train) [93][2720/3757] lr: 1.000e-04 eta: 2:01:12 time: 0.441 data_time: 0.024 memory: 5150 grad_norm: 8.7419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6985 loss: 0.6985 2022/06/29 04:36:35 - mmengine - INFO - Epoch(train) [93][2740/3757] lr: 1.000e-04 eta: 2:01:07 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.5114 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2983 loss: 1.2983 2022/06/29 04:36:40 - mmengine - INFO - Epoch(train) [93][2760/3757] lr: 1.000e-04 eta: 2:01:01 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 11.2559 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2193 loss: 1.2193 2022/06/29 04:36:46 - mmengine - INFO - Epoch(train) [93][2780/3757] lr: 1.000e-04 eta: 2:00:56 time: 0.222 data_time: 0.011 memory: 5150 grad_norm: 7.9206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0678 loss: 1.0678 2022/06/29 04:36:51 - mmengine - INFO - Epoch(train) [93][2800/3757] lr: 1.000e-04 eta: 2:00:51 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.6106 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1911 loss: 1.1911 2022/06/29 04:36:56 - mmengine - INFO - Epoch(train) [93][2820/3757] lr: 1.000e-04 eta: 2:00:45 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.6341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4458 loss: 1.4458 2022/06/29 04:37:02 - mmengine - INFO - Epoch(train) [93][2840/3757] lr: 1.000e-04 eta: 2:00:40 time: 0.638 data_time: 0.011 memory: 5150 grad_norm: 9.5344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1891 loss: 1.1891 2022/06/29 04:37:07 - mmengine - INFO - Epoch(train) [93][2860/3757] lr: 1.000e-04 eta: 2:00:35 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 8.0738 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8327 loss: 0.8327 2022/06/29 04:37:12 - mmengine - INFO - Epoch(train) [93][2880/3757] lr: 1.000e-04 eta: 2:00:29 time: 0.304 data_time: 0.011 memory: 5150 grad_norm: 10.5788 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6155 loss: 1.6155 2022/06/29 04:37:17 - mmengine - INFO - Epoch(train) [93][2900/3757] lr: 1.000e-04 eta: 2:00:24 time: 0.215 data_time: 0.014 memory: 5150 grad_norm: 10.4230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/06/29 04:37:23 - mmengine - INFO - Epoch(train) [93][2920/3757] lr: 1.000e-04 eta: 2:00:19 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 10.0858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9981 loss: 0.9981 2022/06/29 04:37:29 - mmengine - INFO - Epoch(train) [93][2940/3757] lr: 1.000e-04 eta: 2:00:14 time: 0.635 data_time: 0.017 memory: 5150 grad_norm: 10.1057 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2059 loss: 1.2059 2022/06/29 04:37:34 - mmengine - INFO - Epoch(train) [93][2960/3757] lr: 1.000e-04 eta: 2:00:08 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 10.4348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/06/29 04:37:39 - mmengine - INFO - Epoch(train) [93][2980/3757] lr: 1.000e-04 eta: 2:00:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.2028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4165 loss: 1.4165 2022/06/29 04:37:45 - mmengine - INFO - Epoch(train) [93][3000/3757] lr: 1.000e-04 eta: 1:59:58 time: 0.781 data_time: 0.019 memory: 5150 grad_norm: 9.9445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/06/29 04:37:49 - mmengine - INFO - Epoch(train) [93][3020/3757] lr: 1.000e-04 eta: 1:59:52 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 7.7131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1613 loss: 1.1613 2022/06/29 04:37:55 - mmengine - INFO - Epoch(train) [93][3040/3757] lr: 1.000e-04 eta: 1:59:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.3543 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8685 loss: 0.8685 2022/06/29 04:38:01 - mmengine - INFO - Epoch(train) [93][3060/3757] lr: 1.000e-04 eta: 1:59:42 time: 0.466 data_time: 0.013 memory: 5150 grad_norm: 8.5537 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9304 loss: 0.9304 2022/06/29 04:38:05 - mmengine - INFO - Epoch(train) [93][3080/3757] lr: 1.000e-04 eta: 1:59:36 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 10.5301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7423 loss: 0.7423 2022/06/29 04:38:11 - mmengine - INFO - Epoch(train) [93][3100/3757] lr: 1.000e-04 eta: 1:59:31 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.5818 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/06/29 04:38:16 - mmengine - INFO - Epoch(train) [93][3120/3757] lr: 1.000e-04 eta: 1:59:26 time: 0.602 data_time: 0.015 memory: 5150 grad_norm: 8.8520 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9834 loss: 0.9834 2022/06/29 04:38:21 - mmengine - INFO - Epoch(train) [93][3140/3757] lr: 1.000e-04 eta: 1:59:20 time: 0.551 data_time: 0.012 memory: 5150 grad_norm: 8.7184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1779 loss: 1.1779 2022/06/29 04:38:27 - mmengine - INFO - Epoch(train) [93][3160/3757] lr: 1.000e-04 eta: 1:59:15 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.0838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2381 loss: 1.2381 2022/06/29 04:38:33 - mmengine - INFO - Epoch(train) [93][3180/3757] lr: 1.000e-04 eta: 1:59:10 time: 0.835 data_time: 0.007 memory: 5150 grad_norm: 7.7424 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/06/29 04:38:38 - mmengine - INFO - Epoch(train) [93][3200/3757] lr: 1.000e-04 eta: 1:59:04 time: 0.264 data_time: 0.015 memory: 5150 grad_norm: 8.6266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/06/29 04:38:43 - mmengine - INFO - Epoch(train) [93][3220/3757] lr: 1.000e-04 eta: 1:58:59 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.3205 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7844 loss: 0.7844 2022/06/29 04:38:49 - mmengine - INFO - Epoch(train) [93][3240/3757] lr: 1.000e-04 eta: 1:58:54 time: 1.026 data_time: 0.008 memory: 5150 grad_norm: 9.6475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/06/29 04:38:54 - mmengine - INFO - Epoch(train) [93][3260/3757] lr: 1.000e-04 eta: 1:58:48 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 8.6177 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/06/29 04:38:59 - mmengine - INFO - Epoch(train) [93][3280/3757] lr: 1.000e-04 eta: 1:58:43 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 10.4955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/06/29 04:39:05 - mmengine - INFO - Epoch(train) [93][3300/3757] lr: 1.000e-04 eta: 1:58:38 time: 0.846 data_time: 0.012 memory: 5150 grad_norm: 9.7915 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8255 loss: 0.8255 2022/06/29 04:39:10 - mmengine - INFO - Epoch(train) [93][3320/3757] lr: 1.000e-04 eta: 1:58:32 time: 0.224 data_time: 0.013 memory: 5150 grad_norm: 7.9086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/06/29 04:39:15 - mmengine - INFO - Epoch(train) [93][3340/3757] lr: 1.000e-04 eta: 1:58:27 time: 0.233 data_time: 0.017 memory: 5150 grad_norm: 9.7446 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3551 loss: 1.3551 2022/06/29 04:39:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:39:21 - mmengine - INFO - Epoch(train) [93][3360/3757] lr: 1.000e-04 eta: 1:58:22 time: 0.735 data_time: 0.008 memory: 5150 grad_norm: 11.8183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0951 loss: 1.0951 2022/06/29 04:39:25 - mmengine - INFO - Epoch(train) [93][3380/3757] lr: 1.000e-04 eta: 1:58:16 time: 0.208 data_time: 0.019 memory: 5150 grad_norm: 11.1099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9978 loss: 0.9978 2022/06/29 04:39:31 - mmengine - INFO - Epoch(train) [93][3400/3757] lr: 1.000e-04 eta: 1:58:11 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.9332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2543 loss: 1.2543 2022/06/29 04:39:36 - mmengine - INFO - Epoch(train) [93][3420/3757] lr: 1.000e-04 eta: 1:58:06 time: 0.763 data_time: 0.008 memory: 5150 grad_norm: 8.3325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0125 loss: 1.0125 2022/06/29 04:39:40 - mmengine - INFO - Epoch(train) [93][3440/3757] lr: 1.000e-04 eta: 1:58:00 time: 0.212 data_time: 0.017 memory: 5150 grad_norm: 8.2654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2223 loss: 1.2223 2022/06/29 04:39:46 - mmengine - INFO - Epoch(train) [93][3460/3757] lr: 1.000e-04 eta: 1:57:55 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.1628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9823 loss: 0.9823 2022/06/29 04:39:51 - mmengine - INFO - Epoch(train) [93][3480/3757] lr: 1.000e-04 eta: 1:57:50 time: 0.320 data_time: 0.011 memory: 5150 grad_norm: 11.1773 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3761 loss: 1.3761 2022/06/29 04:39:56 - mmengine - INFO - Epoch(train) [93][3500/3757] lr: 1.000e-04 eta: 1:57:44 time: 0.205 data_time: 0.024 memory: 5150 grad_norm: 8.5605 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3976 loss: 1.3976 2022/06/29 04:40:02 - mmengine - INFO - Epoch(train) [93][3520/3757] lr: 1.000e-04 eta: 1:57:39 time: 0.299 data_time: 0.035 memory: 5150 grad_norm: 11.1896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4615 loss: 1.4615 2022/06/29 04:40:08 - mmengine - INFO - Epoch(train) [93][3540/3757] lr: 1.000e-04 eta: 1:57:34 time: 0.954 data_time: 0.008 memory: 5150 grad_norm: 7.7888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8806 loss: 0.8806 2022/06/29 04:40:13 - mmengine - INFO - Epoch(train) [93][3560/3757] lr: 1.000e-04 eta: 1:57:28 time: 0.203 data_time: 0.018 memory: 5150 grad_norm: 8.2864 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2965 loss: 1.2965 2022/06/29 04:40:18 - mmengine - INFO - Epoch(train) [93][3580/3757] lr: 1.000e-04 eta: 1:57:23 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.5648 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4450 loss: 1.4450 2022/06/29 04:40:23 - mmengine - INFO - Epoch(train) [93][3600/3757] lr: 1.000e-04 eta: 1:57:18 time: 0.534 data_time: 0.012 memory: 5150 grad_norm: 8.8350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6304 loss: 1.6304 2022/06/29 04:40:29 - mmengine - INFO - Epoch(train) [93][3620/3757] lr: 1.000e-04 eta: 1:57:13 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.6654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/06/29 04:40:34 - mmengine - INFO - Epoch(train) [93][3640/3757] lr: 1.000e-04 eta: 1:57:07 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.9290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4134 loss: 1.4134 2022/06/29 04:40:40 - mmengine - INFO - Epoch(train) [93][3660/3757] lr: 1.000e-04 eta: 1:57:02 time: 0.762 data_time: 0.008 memory: 5150 grad_norm: 8.6719 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0693 loss: 1.0693 2022/06/29 04:40:45 - mmengine - INFO - Epoch(train) [93][3680/3757] lr: 1.000e-04 eta: 1:56:57 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.2475 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1311 loss: 1.1311 2022/06/29 04:40:50 - mmengine - INFO - Epoch(train) [93][3700/3757] lr: 1.000e-04 eta: 1:56:51 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.2254 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9457 loss: 0.9457 2022/06/29 04:40:56 - mmengine - INFO - Epoch(train) [93][3720/3757] lr: 1.000e-04 eta: 1:56:46 time: 0.790 data_time: 0.007 memory: 5150 grad_norm: 9.6512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1926 loss: 1.1926 2022/06/29 04:41:01 - mmengine - INFO - Epoch(train) [93][3740/3757] lr: 1.000e-04 eta: 1:56:41 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 9.7093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/06/29 04:41:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:41:37 - mmengine - INFO - Epoch(val) [93][20/310] eta: 0:05:39 time: 0.972 data_time: 0.320 memory: 9746 2022/06/29 04:41:59 - mmengine - INFO - Epoch(val) [93][40/310] eta: 0:04:50 time: 1.148 data_time: 0.498 memory: 9746 2022/06/29 04:42:22 - mmengine - INFO - Epoch(val) [93][60/310] eta: 0:04:16 time: 1.111 data_time: 0.458 memory: 9746 2022/06/29 04:42:47 - mmengine - INFO - Epoch(val) [93][80/310] eta: 0:05:12 time: 1.144 data_time: 0.494 memory: 9746 2022/06/29 04:43:10 - mmengine - INFO - Epoch(val) [93][100/310] eta: 0:04:07 time: 2.701 data_time: 2.043 memory: 9746 2022/06/29 04:43:31 - mmengine - INFO - Epoch(val) [93][120/310] eta: 0:03:18 time: 1.129 data_time: 0.475 memory: 9746 2022/06/29 04:43:56 - mmengine - INFO - Epoch(val) [93][140/310] eta: 0:03:20 time: 0.995 data_time: 0.335 memory: 9746 2022/06/29 04:44:20 - mmengine - INFO - Epoch(val) [93][160/310] eta: 0:03:15 time: 3.769 data_time: 3.105 memory: 9746 2022/06/29 04:44:43 - mmengine - INFO - Epoch(val) [93][180/310] eta: 0:02:37 time: 1.037 data_time: 0.424 memory: 9746 2022/06/29 04:45:05 - mmengine - INFO - Epoch(val) [93][200/310] eta: 0:02:07 time: 1.044 data_time: 0.395 memory: 9746 2022/06/29 04:45:27 - mmengine - INFO - Epoch(val) [93][220/310] eta: 0:01:39 time: 1.193 data_time: 0.547 memory: 9746 2022/06/29 04:45:48 - mmengine - INFO - Epoch(val) [93][240/310] eta: 0:01:13 time: 1.029 data_time: 0.389 memory: 9746 2022/06/29 04:46:11 - mmengine - INFO - Epoch(val) [93][260/310] eta: 0:01:01 time: 1.007 data_time: 0.357 memory: 9746 2022/06/29 04:46:34 - mmengine - INFO - Epoch(val) [93][280/310] eta: 0:00:32 time: 1.501 data_time: 0.843 memory: 9746 2022/06/29 04:46:53 - mmengine - INFO - Epoch(val) [93][300/310] eta: 0:00:08 time: 0.721 data_time: 0.125 memory: 9746 2022/06/29 04:47:07 - mmengine - INFO - Epoch(val) [93][310/310] acc/top1: 0.7218 acc/top5: 0.9049 acc/mean1: 0.7217 2022/06/29 04:47:15 - mmengine - INFO - Epoch(train) [94][20/3757] lr: 1.000e-04 eta: 1:56:31 time: 0.213 data_time: 0.008 memory: 9746 grad_norm: 10.0187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/06/29 04:47:21 - mmengine - INFO - Epoch(train) [94][40/3757] lr: 1.000e-04 eta: 1:56:26 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 8.8585 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7676 loss: 0.7676 2022/06/29 04:47:26 - mmengine - INFO - Epoch(train) [94][60/3757] lr: 1.000e-04 eta: 1:56:20 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 11.5080 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/06/29 04:47:31 - mmengine - INFO - Epoch(train) [94][80/3757] lr: 1.000e-04 eta: 1:56:15 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.8164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0124 loss: 1.0124 2022/06/29 04:47:37 - mmengine - INFO - Epoch(train) [94][100/3757] lr: 1.000e-04 eta: 1:56:10 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.7581 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1967 loss: 1.1967 2022/06/29 04:47:42 - mmengine - INFO - Epoch(train) [94][120/3757] lr: 1.000e-04 eta: 1:56:04 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 11.0045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/06/29 04:47:47 - mmengine - INFO - Epoch(train) [94][140/3757] lr: 1.000e-04 eta: 1:55:59 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 10.1803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2937 loss: 1.2937 2022/06/29 04:47:53 - mmengine - INFO - Epoch(train) [94][160/3757] lr: 1.000e-04 eta: 1:55:54 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 7.9522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8327 loss: 0.8327 2022/06/29 04:47:58 - mmengine - INFO - Epoch(train) [94][180/3757] lr: 1.000e-04 eta: 1:55:48 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.0583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2776 loss: 1.2776 2022/06/29 04:48:04 - mmengine - INFO - Epoch(train) [94][200/3757] lr: 1.000e-04 eta: 1:55:43 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 11.1697 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2297 loss: 1.2297 2022/06/29 04:48:09 - mmengine - INFO - Epoch(train) [94][220/3757] lr: 1.000e-04 eta: 1:55:38 time: 0.214 data_time: 0.006 memory: 5150 grad_norm: 7.5508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3007 loss: 1.3007 2022/06/29 04:48:14 - mmengine - INFO - Epoch(train) [94][240/3757] lr: 1.000e-04 eta: 1:55:32 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 10.1261 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0142 loss: 1.0142 2022/06/29 04:48:20 - mmengine - INFO - Epoch(train) [94][260/3757] lr: 1.000e-04 eta: 1:55:27 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 7.6797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9482 loss: 0.9482 2022/06/29 04:48:26 - mmengine - INFO - Epoch(train) [94][280/3757] lr: 1.000e-04 eta: 1:55:22 time: 0.680 data_time: 0.008 memory: 5150 grad_norm: 10.4109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1729 loss: 1.1729 2022/06/29 04:48:31 - mmengine - INFO - Epoch(train) [94][300/3757] lr: 1.000e-04 eta: 1:55:16 time: 0.196 data_time: 0.012 memory: 5150 grad_norm: 8.8417 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0190 loss: 1.0190 2022/06/29 04:48:36 - mmengine - INFO - Epoch(train) [94][320/3757] lr: 1.000e-04 eta: 1:55:11 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.6084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2990 loss: 1.2990 2022/06/29 04:48:42 - mmengine - INFO - Epoch(train) [94][340/3757] lr: 1.000e-04 eta: 1:55:06 time: 0.741 data_time: 0.008 memory: 5150 grad_norm: 9.5124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4547 loss: 1.4547 2022/06/29 04:48:47 - mmengine - INFO - Epoch(train) [94][360/3757] lr: 1.000e-04 eta: 1:55:00 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.0671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3161 loss: 1.3161 2022/06/29 04:48:52 - mmengine - INFO - Epoch(train) [94][380/3757] lr: 1.000e-04 eta: 1:54:55 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 10.3609 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5556 loss: 1.5556 2022/06/29 04:48:58 - mmengine - INFO - Epoch(train) [94][400/3757] lr: 1.000e-04 eta: 1:54:50 time: 0.863 data_time: 0.012 memory: 5150 grad_norm: 9.4684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0995 loss: 1.0995 2022/06/29 04:49:03 - mmengine - INFO - Epoch(train) [94][420/3757] lr: 1.000e-04 eta: 1:54:44 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.7414 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/06/29 04:49:09 - mmengine - INFO - Epoch(train) [94][440/3757] lr: 1.000e-04 eta: 1:54:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.0675 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/06/29 04:49:14 - mmengine - INFO - Epoch(train) [94][460/3757] lr: 1.000e-04 eta: 1:54:34 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 8.7483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4658 loss: 1.4658 2022/06/29 04:49:19 - mmengine - INFO - Epoch(train) [94][480/3757] lr: 1.000e-04 eta: 1:54:29 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 7.8001 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2402 loss: 1.2402 2022/06/29 04:49:24 - mmengine - INFO - Epoch(train) [94][500/3757] lr: 1.000e-04 eta: 1:54:23 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.5347 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2381 loss: 1.2381 2022/06/29 04:49:30 - mmengine - INFO - Epoch(train) [94][520/3757] lr: 1.000e-04 eta: 1:54:18 time: 0.903 data_time: 0.007 memory: 5150 grad_norm: 11.2557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2166 loss: 1.2166 2022/06/29 04:49:35 - mmengine - INFO - Epoch(train) [94][540/3757] lr: 1.000e-04 eta: 1:54:13 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 11.0575 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/06/29 04:49:40 - mmengine - INFO - Epoch(train) [94][560/3757] lr: 1.000e-04 eta: 1:54:07 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 7.3146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0168 loss: 1.0168 2022/06/29 04:49:46 - mmengine - INFO - Epoch(train) [94][580/3757] lr: 1.000e-04 eta: 1:54:02 time: 0.812 data_time: 0.007 memory: 5150 grad_norm: 9.7008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9272 loss: 0.9272 2022/06/29 04:49:50 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:49:51 - mmengine - INFO - Epoch(train) [94][600/3757] lr: 1.000e-04 eta: 1:53:57 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.2216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1383 loss: 1.1383 2022/06/29 04:49:56 - mmengine - INFO - Epoch(train) [94][620/3757] lr: 1.000e-04 eta: 1:53:51 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0609 loss: 1.0609 2022/06/29 04:50:02 - mmengine - INFO - Epoch(train) [94][640/3757] lr: 1.000e-04 eta: 1:53:46 time: 1.113 data_time: 0.007 memory: 5150 grad_norm: 9.5153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0196 loss: 1.0196 2022/06/29 04:50:07 - mmengine - INFO - Epoch(train) [94][660/3757] lr: 1.000e-04 eta: 1:53:41 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 8.9948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6985 loss: 0.6985 2022/06/29 04:50:13 - mmengine - INFO - Epoch(train) [94][680/3757] lr: 1.000e-04 eta: 1:53:35 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.3102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1572 loss: 1.1572 2022/06/29 04:50:18 - mmengine - INFO - Epoch(train) [94][700/3757] lr: 1.000e-04 eta: 1:53:30 time: 0.912 data_time: 0.007 memory: 5150 grad_norm: 8.5451 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1224 loss: 1.1224 2022/06/29 04:50:23 - mmengine - INFO - Epoch(train) [94][720/3757] lr: 1.000e-04 eta: 1:53:25 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 7.6661 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1517 loss: 1.1517 2022/06/29 04:50:29 - mmengine - INFO - Epoch(train) [94][740/3757] lr: 1.000e-04 eta: 1:53:19 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 6.7165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9812 loss: 0.9812 2022/06/29 04:50:34 - mmengine - INFO - Epoch(train) [94][760/3757] lr: 1.000e-04 eta: 1:53:14 time: 0.603 data_time: 0.007 memory: 5150 grad_norm: 8.5935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/06/29 04:50:39 - mmengine - INFO - Epoch(train) [94][780/3757] lr: 1.000e-04 eta: 1:53:09 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.7360 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9141 loss: 0.9141 2022/06/29 04:50:45 - mmengine - INFO - Epoch(train) [94][800/3757] lr: 1.000e-04 eta: 1:53:03 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 8.1204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/06/29 04:50:50 - mmengine - INFO - Epoch(train) [94][820/3757] lr: 1.000e-04 eta: 1:52:58 time: 0.881 data_time: 0.012 memory: 5150 grad_norm: 8.6135 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/06/29 04:50:56 - mmengine - INFO - Epoch(train) [94][840/3757] lr: 1.000e-04 eta: 1:52:53 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 9.9302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1021 loss: 1.1021 2022/06/29 04:51:01 - mmengine - INFO - Epoch(train) [94][860/3757] lr: 1.000e-04 eta: 1:52:47 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 11.6725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/06/29 04:51:06 - mmengine - INFO - Epoch(train) [94][880/3757] lr: 1.000e-04 eta: 1:52:42 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 8.6168 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0669 loss: 1.0669 2022/06/29 04:51:11 - mmengine - INFO - Epoch(train) [94][900/3757] lr: 1.000e-04 eta: 1:52:37 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.4530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1587 loss: 1.1587 2022/06/29 04:51:16 - mmengine - INFO - Epoch(train) [94][920/3757] lr: 1.000e-04 eta: 1:52:31 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.6974 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9323 loss: 0.9323 2022/06/29 04:51:22 - mmengine - INFO - Epoch(train) [94][940/3757] lr: 1.000e-04 eta: 1:52:26 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 8.2418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4787 loss: 1.4787 2022/06/29 04:51:27 - mmengine - INFO - Epoch(train) [94][960/3757] lr: 1.000e-04 eta: 1:52:21 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.1040 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2079 loss: 1.2079 2022/06/29 04:51:32 - mmengine - INFO - Epoch(train) [94][980/3757] lr: 1.000e-04 eta: 1:52:15 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3454 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2876 loss: 1.2876 2022/06/29 04:51:37 - mmengine - INFO - Epoch(train) [94][1000/3757] lr: 1.000e-04 eta: 1:52:10 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1805 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8689 loss: 0.8689 2022/06/29 04:51:43 - mmengine - INFO - Epoch(train) [94][1020/3757] lr: 1.000e-04 eta: 1:52:05 time: 0.359 data_time: 0.007 memory: 5150 grad_norm: 8.2730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/06/29 04:51:48 - mmengine - INFO - Epoch(train) [94][1040/3757] lr: 1.000e-04 eta: 1:51:59 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.1279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/06/29 04:51:53 - mmengine - INFO - Epoch(train) [94][1060/3757] lr: 1.000e-04 eta: 1:51:54 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 10.4284 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1870 loss: 1.1870 2022/06/29 04:51:59 - mmengine - INFO - Epoch(train) [94][1080/3757] lr: 1.000e-04 eta: 1:51:49 time: 0.754 data_time: 0.010 memory: 5150 grad_norm: 9.8963 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2975 loss: 1.2975 2022/06/29 04:52:04 - mmengine - INFO - Epoch(train) [94][1100/3757] lr: 1.000e-04 eta: 1:51:44 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 10.2457 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0524 loss: 1.0524 2022/06/29 04:52:09 - mmengine - INFO - Epoch(train) [94][1120/3757] lr: 1.000e-04 eta: 1:51:38 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 6.9012 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0822 loss: 1.0822 2022/06/29 04:52:14 - mmengine - INFO - Epoch(train) [94][1140/3757] lr: 1.000e-04 eta: 1:51:33 time: 0.203 data_time: 0.010 memory: 5150 grad_norm: 8.9262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2136 loss: 1.2136 2022/06/29 04:52:20 - mmengine - INFO - Epoch(train) [94][1160/3757] lr: 1.000e-04 eta: 1:51:28 time: 0.196 data_time: 0.015 memory: 5150 grad_norm: 8.5202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4819 loss: 1.4819 2022/06/29 04:52:25 - mmengine - INFO - Epoch(train) [94][1180/3757] lr: 1.000e-04 eta: 1:51:22 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.1668 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0641 loss: 1.0641 2022/06/29 04:52:30 - mmengine - INFO - Epoch(train) [94][1200/3757] lr: 1.000e-04 eta: 1:51:17 time: 0.214 data_time: 0.020 memory: 5150 grad_norm: 8.4085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1974 loss: 1.1974 2022/06/29 04:52:36 - mmengine - INFO - Epoch(train) [94][1220/3757] lr: 1.000e-04 eta: 1:51:12 time: 0.205 data_time: 0.013 memory: 5150 grad_norm: 9.5995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7035 loss: 0.7035 2022/06/29 04:52:42 - mmengine - INFO - Epoch(train) [94][1240/3757] lr: 1.000e-04 eta: 1:51:06 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.4325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2758 loss: 1.2758 2022/06/29 04:52:47 - mmengine - INFO - Epoch(train) [94][1260/3757] lr: 1.000e-04 eta: 1:51:01 time: 0.228 data_time: 0.011 memory: 5150 grad_norm: 9.6407 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1635 loss: 1.1635 2022/06/29 04:52:52 - mmengine - INFO - Epoch(train) [94][1280/3757] lr: 1.000e-04 eta: 1:50:56 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 10.2888 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0647 loss: 1.0647 2022/06/29 04:52:58 - mmengine - INFO - Epoch(train) [94][1300/3757] lr: 1.000e-04 eta: 1:50:50 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 10.5468 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0131 loss: 1.0131 2022/06/29 04:53:03 - mmengine - INFO - Epoch(train) [94][1320/3757] lr: 1.000e-04 eta: 1:50:45 time: 0.227 data_time: 0.018 memory: 5150 grad_norm: 9.3757 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2751 loss: 1.2751 2022/06/29 04:53:09 - mmengine - INFO - Epoch(train) [94][1340/3757] lr: 1.000e-04 eta: 1:50:40 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 7.2524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0497 loss: 1.0497 2022/06/29 04:53:13 - mmengine - INFO - Epoch(train) [94][1360/3757] lr: 1.000e-04 eta: 1:50:34 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.2663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/06/29 04:53:19 - mmengine - INFO - Epoch(train) [94][1380/3757] lr: 1.000e-04 eta: 1:50:29 time: 0.222 data_time: 0.019 memory: 5150 grad_norm: 8.6419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/06/29 04:53:24 - mmengine - INFO - Epoch(train) [94][1400/3757] lr: 1.000e-04 eta: 1:50:24 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.0159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4099 loss: 1.4099 2022/06/29 04:53:29 - mmengine - INFO - Epoch(train) [94][1420/3757] lr: 1.000e-04 eta: 1:50:18 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1757 loss: 1.1757 2022/06/29 04:53:36 - mmengine - INFO - Epoch(train) [94][1440/3757] lr: 1.000e-04 eta: 1:50:13 time: 1.127 data_time: 0.020 memory: 5150 grad_norm: 9.1055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1409 loss: 1.1409 2022/06/29 04:53:40 - mmengine - INFO - Epoch(train) [94][1460/3757] lr: 1.000e-04 eta: 1:50:08 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.3841 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/06/29 04:53:46 - mmengine - INFO - Epoch(train) [94][1480/3757] lr: 1.000e-04 eta: 1:50:02 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 9.4707 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0997 loss: 1.0997 2022/06/29 04:53:51 - mmengine - INFO - Epoch(train) [94][1500/3757] lr: 1.000e-04 eta: 1:49:57 time: 0.954 data_time: 0.013 memory: 5150 grad_norm: 7.3519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2392 loss: 1.2392 2022/06/29 04:53:56 - mmengine - INFO - Epoch(train) [94][1520/3757] lr: 1.000e-04 eta: 1:49:52 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.5416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7989 loss: 0.7989 2022/06/29 04:54:02 - mmengine - INFO - Epoch(train) [94][1540/3757] lr: 1.000e-04 eta: 1:49:47 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.5273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8500 loss: 0.8500 2022/06/29 04:54:08 - mmengine - INFO - Epoch(train) [94][1560/3757] lr: 1.000e-04 eta: 1:49:41 time: 1.210 data_time: 0.015 memory: 5150 grad_norm: 10.0882 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3678 loss: 1.3678 2022/06/29 04:54:13 - mmengine - INFO - Epoch(train) [94][1580/3757] lr: 1.000e-04 eta: 1:49:36 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.3280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5026 loss: 1.5026 2022/06/29 04:54:18 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:54:18 - mmengine - INFO - Epoch(train) [94][1600/3757] lr: 1.000e-04 eta: 1:49:31 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.0642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0910 loss: 1.0910 2022/06/29 04:54:23 - mmengine - INFO - Epoch(train) [94][1620/3757] lr: 1.000e-04 eta: 1:49:25 time: 0.617 data_time: 0.007 memory: 5150 grad_norm: 8.3338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/06/29 04:54:28 - mmengine - INFO - Epoch(train) [94][1640/3757] lr: 1.000e-04 eta: 1:49:20 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 8.5734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/06/29 04:54:34 - mmengine - INFO - Epoch(train) [94][1660/3757] lr: 1.000e-04 eta: 1:49:15 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.2261 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3833 loss: 1.3833 2022/06/29 04:54:40 - mmengine - INFO - Epoch(train) [94][1680/3757] lr: 1.000e-04 eta: 1:49:09 time: 1.229 data_time: 0.011 memory: 5150 grad_norm: 11.3118 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1725 loss: 1.1725 2022/06/29 04:54:44 - mmengine - INFO - Epoch(train) [94][1700/3757] lr: 1.000e-04 eta: 1:49:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.7801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/06/29 04:54:50 - mmengine - INFO - Epoch(train) [94][1720/3757] lr: 1.000e-04 eta: 1:48:59 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 10.1340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2318 loss: 1.2318 2022/06/29 04:54:55 - mmengine - INFO - Epoch(train) [94][1740/3757] lr: 1.000e-04 eta: 1:48:53 time: 0.831 data_time: 0.008 memory: 5150 grad_norm: 11.0494 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0808 loss: 1.0808 2022/06/29 04:55:00 - mmengine - INFO - Epoch(train) [94][1760/3757] lr: 1.000e-04 eta: 1:48:48 time: 0.203 data_time: 0.023 memory: 5150 grad_norm: 7.7447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4609 loss: 1.4609 2022/06/29 04:55:05 - mmengine - INFO - Epoch(train) [94][1780/3757] lr: 1.000e-04 eta: 1:48:43 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.9225 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2697 loss: 1.2697 2022/06/29 04:55:11 - mmengine - INFO - Epoch(train) [94][1800/3757] lr: 1.000e-04 eta: 1:48:37 time: 0.918 data_time: 0.012 memory: 5150 grad_norm: 9.9848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2838 loss: 1.2838 2022/06/29 04:55:16 - mmengine - INFO - Epoch(train) [94][1820/3757] lr: 1.000e-04 eta: 1:48:32 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.4280 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3902 loss: 1.3902 2022/06/29 04:55:22 - mmengine - INFO - Epoch(train) [94][1840/3757] lr: 1.000e-04 eta: 1:48:27 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.7642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4488 loss: 1.4488 2022/06/29 04:55:27 - mmengine - INFO - Epoch(train) [94][1860/3757] lr: 1.000e-04 eta: 1:48:21 time: 1.034 data_time: 0.010 memory: 5150 grad_norm: 9.2346 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0671 loss: 1.0671 2022/06/29 04:55:32 - mmengine - INFO - Epoch(train) [94][1880/3757] lr: 1.000e-04 eta: 1:48:16 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 9.2651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2081 loss: 1.2081 2022/06/29 04:55:38 - mmengine - INFO - Epoch(train) [94][1900/3757] lr: 1.000e-04 eta: 1:48:11 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.9091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0864 loss: 1.0864 2022/06/29 04:55:44 - mmengine - INFO - Epoch(train) [94][1920/3757] lr: 1.000e-04 eta: 1:48:05 time: 0.850 data_time: 0.012 memory: 5150 grad_norm: 8.6732 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2617 loss: 1.2617 2022/06/29 04:55:49 - mmengine - INFO - Epoch(train) [94][1940/3757] lr: 1.000e-04 eta: 1:48:00 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 10.7195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0240 loss: 1.0240 2022/06/29 04:55:54 - mmengine - INFO - Epoch(train) [94][1960/3757] lr: 1.000e-04 eta: 1:47:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.7814 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3851 loss: 1.3851 2022/06/29 04:56:00 - mmengine - INFO - Epoch(train) [94][1980/3757] lr: 1.000e-04 eta: 1:47:49 time: 1.284 data_time: 0.008 memory: 5150 grad_norm: 9.7791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1384 loss: 1.1384 2022/06/29 04:56:05 - mmengine - INFO - Epoch(train) [94][2000/3757] lr: 1.000e-04 eta: 1:47:44 time: 0.211 data_time: 0.014 memory: 5150 grad_norm: 11.0886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9144 loss: 0.9144 2022/06/29 04:56:10 - mmengine - INFO - Epoch(train) [94][2020/3757] lr: 1.000e-04 eta: 1:47:39 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 11.1441 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3103 loss: 1.3103 2022/06/29 04:56:15 - mmengine - INFO - Epoch(train) [94][2040/3757] lr: 1.000e-04 eta: 1:47:33 time: 1.070 data_time: 0.007 memory: 5150 grad_norm: 9.3046 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6187 loss: 1.6187 2022/06/29 04:56:20 - mmengine - INFO - Epoch(train) [94][2060/3757] lr: 1.000e-04 eta: 1:47:28 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 10.0322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0687 loss: 1.0687 2022/06/29 04:56:25 - mmengine - INFO - Epoch(train) [94][2080/3757] lr: 1.000e-04 eta: 1:47:23 time: 0.219 data_time: 0.012 memory: 5150 grad_norm: 9.2782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8914 loss: 0.8914 2022/06/29 04:56:31 - mmengine - INFO - Epoch(train) [94][2100/3757] lr: 1.000e-04 eta: 1:47:17 time: 1.076 data_time: 0.013 memory: 5150 grad_norm: 10.0427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0152 loss: 1.0152 2022/06/29 04:56:36 - mmengine - INFO - Epoch(train) [94][2120/3757] lr: 1.000e-04 eta: 1:47:12 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.1786 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0777 loss: 1.0777 2022/06/29 04:56:40 - mmengine - INFO - Epoch(train) [94][2140/3757] lr: 1.000e-04 eta: 1:47:07 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 8.6341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3200 loss: 1.3200 2022/06/29 04:56:46 - mmengine - INFO - Epoch(train) [94][2160/3757] lr: 1.000e-04 eta: 1:47:01 time: 0.356 data_time: 0.011 memory: 5150 grad_norm: 9.9333 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7346 loss: 1.7346 2022/06/29 04:56:52 - mmengine - INFO - Epoch(train) [94][2180/3757] lr: 1.000e-04 eta: 1:46:56 time: 0.427 data_time: 0.008 memory: 5150 grad_norm: 8.6383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0534 loss: 1.0534 2022/06/29 04:56:57 - mmengine - INFO - Epoch(train) [94][2200/3757] lr: 1.000e-04 eta: 1:46:51 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 9.2266 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2613 loss: 1.2613 2022/06/29 04:57:02 - mmengine - INFO - Epoch(train) [94][2220/3757] lr: 1.000e-04 eta: 1:46:45 time: 0.307 data_time: 0.007 memory: 5150 grad_norm: 9.6526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/06/29 04:57:08 - mmengine - INFO - Epoch(train) [94][2240/3757] lr: 1.000e-04 eta: 1:46:40 time: 0.612 data_time: 0.007 memory: 5150 grad_norm: 11.0343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9864 loss: 0.9864 2022/06/29 04:57:13 - mmengine - INFO - Epoch(train) [94][2260/3757] lr: 1.000e-04 eta: 1:46:35 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.5476 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3043 loss: 1.3043 2022/06/29 04:57:18 - mmengine - INFO - Epoch(train) [94][2280/3757] lr: 1.000e-04 eta: 1:46:30 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 7.8526 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/06/29 04:57:25 - mmengine - INFO - Epoch(train) [94][2300/3757] lr: 1.000e-04 eta: 1:46:24 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 8.9946 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9309 loss: 0.9309 2022/06/29 04:57:30 - mmengine - INFO - Epoch(train) [94][2320/3757] lr: 1.000e-04 eta: 1:46:19 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.4499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2861 loss: 1.2861 2022/06/29 04:57:36 - mmengine - INFO - Epoch(train) [94][2340/3757] lr: 1.000e-04 eta: 1:46:14 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.6183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0281 loss: 1.0281 2022/06/29 04:57:40 - mmengine - INFO - Epoch(train) [94][2360/3757] lr: 1.000e-04 eta: 1:46:08 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.4301 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/06/29 04:57:45 - mmengine - INFO - Epoch(train) [94][2380/3757] lr: 1.000e-04 eta: 1:46:03 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.0995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2412 loss: 1.2412 2022/06/29 04:57:50 - mmengine - INFO - Epoch(train) [94][2400/3757] lr: 1.000e-04 eta: 1:45:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2415 loss: 1.2415 2022/06/29 04:57:56 - mmengine - INFO - Epoch(train) [94][2420/3757] lr: 1.000e-04 eta: 1:45:52 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 11.5206 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0614 loss: 1.0614 2022/06/29 04:58:01 - mmengine - INFO - Epoch(train) [94][2440/3757] lr: 1.000e-04 eta: 1:45:47 time: 0.204 data_time: 0.015 memory: 5150 grad_norm: 8.7165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4829 loss: 1.4829 2022/06/29 04:58:07 - mmengine - INFO - Epoch(train) [94][2460/3757] lr: 1.000e-04 eta: 1:45:42 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.7576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0603 loss: 1.0603 2022/06/29 04:58:12 - mmengine - INFO - Epoch(train) [94][2480/3757] lr: 1.000e-04 eta: 1:45:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.1037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/06/29 04:58:17 - mmengine - INFO - Epoch(train) [94][2500/3757] lr: 1.000e-04 eta: 1:45:31 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 10.4779 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.4364 loss: 1.4364 2022/06/29 04:58:23 - mmengine - INFO - Epoch(train) [94][2520/3757] lr: 1.000e-04 eta: 1:45:26 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 8.9148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3337 loss: 1.3337 2022/06/29 04:58:28 - mmengine - INFO - Epoch(train) [94][2540/3757] lr: 1.000e-04 eta: 1:45:20 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.4368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2434 loss: 1.2434 2022/06/29 04:58:33 - mmengine - INFO - Epoch(train) [94][2560/3757] lr: 1.000e-04 eta: 1:45:15 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 8.3357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0916 loss: 1.0916 2022/06/29 04:58:39 - mmengine - INFO - Epoch(train) [94][2580/3757] lr: 1.000e-04 eta: 1:45:10 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.1347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3115 loss: 1.3115 2022/06/29 04:58:45 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 04:58:45 - mmengine - INFO - Epoch(train) [94][2600/3757] lr: 1.000e-04 eta: 1:45:04 time: 0.219 data_time: 0.017 memory: 5150 grad_norm: 9.8444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9816 loss: 0.9816 2022/06/29 04:58:49 - mmengine - INFO - Epoch(train) [94][2620/3757] lr: 1.000e-04 eta: 1:44:59 time: 0.231 data_time: 0.007 memory: 5150 grad_norm: 9.6380 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9805 loss: 0.9805 2022/06/29 04:58:54 - mmengine - INFO - Epoch(train) [94][2640/3757] lr: 1.000e-04 eta: 1:44:54 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.3330 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/06/29 04:58:59 - mmengine - INFO - Epoch(train) [94][2660/3757] lr: 1.000e-04 eta: 1:44:48 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 9.9310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/06/29 04:59:05 - mmengine - INFO - Epoch(train) [94][2680/3757] lr: 1.000e-04 eta: 1:44:43 time: 0.955 data_time: 0.007 memory: 5150 grad_norm: 9.3363 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3654 loss: 1.3654 2022/06/29 04:59:10 - mmengine - INFO - Epoch(train) [94][2700/3757] lr: 1.000e-04 eta: 1:44:38 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.9899 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/06/29 04:59:15 - mmengine - INFO - Epoch(train) [94][2720/3757] lr: 1.000e-04 eta: 1:44:32 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.7225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2092 loss: 1.2092 2022/06/29 04:59:21 - mmengine - INFO - Epoch(train) [94][2740/3757] lr: 1.000e-04 eta: 1:44:27 time: 1.062 data_time: 0.008 memory: 5150 grad_norm: 8.1556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2937 loss: 1.2937 2022/06/29 04:59:26 - mmengine - INFO - Epoch(train) [94][2760/3757] lr: 1.000e-04 eta: 1:44:22 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.8234 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1560 loss: 1.1560 2022/06/29 04:59:31 - mmengine - INFO - Epoch(train) [94][2780/3757] lr: 1.000e-04 eta: 1:44:16 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.9563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1083 loss: 1.1083 2022/06/29 04:59:37 - mmengine - INFO - Epoch(train) [94][2800/3757] lr: 1.000e-04 eta: 1:44:11 time: 1.137 data_time: 0.007 memory: 5150 grad_norm: 11.0030 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/06/29 04:59:42 - mmengine - INFO - Epoch(train) [94][2820/3757] lr: 1.000e-04 eta: 1:44:06 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1290 loss: 1.1290 2022/06/29 04:59:47 - mmengine - INFO - Epoch(train) [94][2840/3757] lr: 1.000e-04 eta: 1:44:01 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.7291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9301 loss: 0.9301 2022/06/29 04:59:53 - mmengine - INFO - Epoch(train) [94][2860/3757] lr: 1.000e-04 eta: 1:43:55 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.8777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2353 loss: 1.2353 2022/06/29 04:59:58 - mmengine - INFO - Epoch(train) [94][2880/3757] lr: 1.000e-04 eta: 1:43:50 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 10.7374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9271 loss: 0.9271 2022/06/29 05:00:04 - mmengine - INFO - Epoch(train) [94][2900/3757] lr: 1.000e-04 eta: 1:43:45 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 10.9604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1657 loss: 1.1657 2022/06/29 05:00:09 - mmengine - INFO - Epoch(train) [94][2920/3757] lr: 1.000e-04 eta: 1:43:39 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 11.0081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/06/29 05:00:14 - mmengine - INFO - Epoch(train) [94][2940/3757] lr: 1.000e-04 eta: 1:43:34 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.4200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8359 loss: 0.8359 2022/06/29 05:00:20 - mmengine - INFO - Epoch(train) [94][2960/3757] lr: 1.000e-04 eta: 1:43:29 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 9.5542 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9677 loss: 0.9677 2022/06/29 05:00:26 - mmengine - INFO - Epoch(train) [94][2980/3757] lr: 1.000e-04 eta: 1:43:23 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.7513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8469 loss: 0.8469 2022/06/29 05:00:30 - mmengine - INFO - Epoch(train) [94][3000/3757] lr: 1.000e-04 eta: 1:43:18 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.9958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0939 loss: 1.0939 2022/06/29 05:00:36 - mmengine - INFO - Epoch(train) [94][3020/3757] lr: 1.000e-04 eta: 1:43:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.6807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5128 loss: 1.5128 2022/06/29 05:00:41 - mmengine - INFO - Epoch(train) [94][3040/3757] lr: 1.000e-04 eta: 1:43:07 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 7.1631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/06/29 05:00:46 - mmengine - INFO - Epoch(train) [94][3060/3757] lr: 1.000e-04 eta: 1:43:02 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.6795 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5685 loss: 1.5685 2022/06/29 05:00:52 - mmengine - INFO - Epoch(train) [94][3080/3757] lr: 1.000e-04 eta: 1:42:57 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 10.3933 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3593 loss: 1.3593 2022/06/29 05:00:58 - mmengine - INFO - Epoch(train) [94][3100/3757] lr: 1.000e-04 eta: 1:42:51 time: 0.237 data_time: 0.008 memory: 5150 grad_norm: 9.9628 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0397 loss: 1.0397 2022/06/29 05:01:03 - mmengine - INFO - Epoch(train) [94][3120/3757] lr: 1.000e-04 eta: 1:42:46 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.3494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3886 loss: 1.3886 2022/06/29 05:01:08 - mmengine - INFO - Epoch(train) [94][3140/3757] lr: 1.000e-04 eta: 1:42:41 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.2396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1602 loss: 1.1602 2022/06/29 05:01:14 - mmengine - INFO - Epoch(train) [94][3160/3757] lr: 1.000e-04 eta: 1:42:35 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 8.7004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1439 loss: 1.1439 2022/06/29 05:01:19 - mmengine - INFO - Epoch(train) [94][3180/3757] lr: 1.000e-04 eta: 1:42:30 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.9412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8452 loss: 0.8452 2022/06/29 05:01:24 - mmengine - INFO - Epoch(train) [94][3200/3757] lr: 1.000e-04 eta: 1:42:25 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 11.3541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1554 loss: 1.1554 2022/06/29 05:01:30 - mmengine - INFO - Epoch(train) [94][3220/3757] lr: 1.000e-04 eta: 1:42:19 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 9.6476 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1661 loss: 1.1661 2022/06/29 05:01:35 - mmengine - INFO - Epoch(train) [94][3240/3757] lr: 1.000e-04 eta: 1:42:14 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.4229 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2103 loss: 1.2103 2022/06/29 05:01:40 - mmengine - INFO - Epoch(train) [94][3260/3757] lr: 1.000e-04 eta: 1:42:09 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 9.0430 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1988 loss: 1.1988 2022/06/29 05:01:46 - mmengine - INFO - Epoch(train) [94][3280/3757] lr: 1.000e-04 eta: 1:42:03 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 11.1810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1639 loss: 1.1639 2022/06/29 05:01:50 - mmengine - INFO - Epoch(train) [94][3300/3757] lr: 1.000e-04 eta: 1:41:58 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.6323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/06/29 05:01:56 - mmengine - INFO - Epoch(train) [94][3320/3757] lr: 1.000e-04 eta: 1:41:53 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.9777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/06/29 05:02:01 - mmengine - INFO - Epoch(train) [94][3340/3757] lr: 1.000e-04 eta: 1:41:48 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 8.7575 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8588 loss: 0.8588 2022/06/29 05:02:07 - mmengine - INFO - Epoch(train) [94][3360/3757] lr: 1.000e-04 eta: 1:41:42 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 9.2667 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2748 loss: 1.2748 2022/06/29 05:02:12 - mmengine - INFO - Epoch(train) [94][3380/3757] lr: 1.000e-04 eta: 1:41:37 time: 0.211 data_time: 0.019 memory: 5150 grad_norm: 8.6652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0475 loss: 1.0475 2022/06/29 05:02:17 - mmengine - INFO - Epoch(train) [94][3400/3757] lr: 1.000e-04 eta: 1:41:32 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.8414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2623 loss: 1.2623 2022/06/29 05:02:22 - mmengine - INFO - Epoch(train) [94][3420/3757] lr: 1.000e-04 eta: 1:41:26 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.1820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8050 loss: 0.8050 2022/06/29 05:02:27 - mmengine - INFO - Epoch(train) [94][3440/3757] lr: 1.000e-04 eta: 1:41:21 time: 0.330 data_time: 0.158 memory: 5150 grad_norm: 9.9890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0238 loss: 1.0238 2022/06/29 05:02:33 - mmengine - INFO - Epoch(train) [94][3460/3757] lr: 1.000e-04 eta: 1:41:16 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 7.1101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/06/29 05:02:38 - mmengine - INFO - Epoch(train) [94][3480/3757] lr: 1.000e-04 eta: 1:41:10 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.9296 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0556 loss: 1.0556 2022/06/29 05:02:43 - mmengine - INFO - Epoch(train) [94][3500/3757] lr: 1.000e-04 eta: 1:41:05 time: 0.409 data_time: 0.231 memory: 5150 grad_norm: 10.8411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8897 loss: 0.8897 2022/06/29 05:02:49 - mmengine - INFO - Epoch(train) [94][3520/3757] lr: 1.000e-04 eta: 1:41:00 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 8.8337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4459 loss: 1.4459 2022/06/29 05:02:54 - mmengine - INFO - Epoch(train) [94][3540/3757] lr: 1.000e-04 eta: 1:40:54 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 9.5518 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/06/29 05:02:59 - mmengine - INFO - Epoch(train) [94][3560/3757] lr: 1.000e-04 eta: 1:40:49 time: 0.216 data_time: 0.024 memory: 5150 grad_norm: 9.3729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/06/29 05:03:05 - mmengine - INFO - Epoch(train) [94][3580/3757] lr: 1.000e-04 eta: 1:40:44 time: 0.353 data_time: 0.008 memory: 5150 grad_norm: 10.0901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/06/29 05:03:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:03:10 - mmengine - INFO - Epoch(train) [94][3600/3757] lr: 1.000e-04 eta: 1:40:38 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 10.0323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/06/29 05:03:16 - mmengine - INFO - Epoch(train) [94][3620/3757] lr: 1.000e-04 eta: 1:40:33 time: 0.217 data_time: 0.037 memory: 5150 grad_norm: 9.7828 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3673 loss: 1.3673 2022/06/29 05:03:21 - mmengine - INFO - Epoch(train) [94][3640/3757] lr: 1.000e-04 eta: 1:40:28 time: 0.707 data_time: 0.008 memory: 5150 grad_norm: 9.8421 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7243 loss: 0.7243 2022/06/29 05:03:26 - mmengine - INFO - Epoch(train) [94][3660/3757] lr: 1.000e-04 eta: 1:40:22 time: 0.191 data_time: 0.012 memory: 5150 grad_norm: 9.4917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1393 loss: 1.1393 2022/06/29 05:03:31 - mmengine - INFO - Epoch(train) [94][3680/3757] lr: 1.000e-04 eta: 1:40:17 time: 0.208 data_time: 0.030 memory: 5150 grad_norm: 9.2905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/06/29 05:03:38 - mmengine - INFO - Epoch(train) [94][3700/3757] lr: 1.000e-04 eta: 1:40:12 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.3530 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/06/29 05:03:42 - mmengine - INFO - Epoch(train) [94][3720/3757] lr: 1.000e-04 eta: 1:40:06 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.0829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4267 loss: 1.4267 2022/06/29 05:03:47 - mmengine - INFO - Epoch(train) [94][3740/3757] lr: 1.000e-04 eta: 1:40:01 time: 0.216 data_time: 0.040 memory: 5150 grad_norm: 9.7750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/06/29 05:03:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:04:24 - mmengine - INFO - Epoch(val) [94][20/310] eta: 0:05:46 time: 0.959 data_time: 0.307 memory: 9746 2022/06/29 05:04:46 - mmengine - INFO - Epoch(val) [94][40/310] eta: 0:05:01 time: 1.064 data_time: 0.405 memory: 9746 2022/06/29 05:05:09 - mmengine - INFO - Epoch(val) [94][60/310] eta: 0:04:16 time: 1.078 data_time: 0.437 memory: 9746 2022/06/29 05:05:34 - mmengine - INFO - Epoch(val) [94][80/310] eta: 0:05:14 time: 0.954 data_time: 0.294 memory: 9746 2022/06/29 05:05:57 - mmengine - INFO - Epoch(val) [94][100/310] eta: 0:04:04 time: 2.298 data_time: 1.602 memory: 9746 2022/06/29 05:06:18 - mmengine - INFO - Epoch(val) [94][120/310] eta: 0:03:20 time: 1.174 data_time: 0.536 memory: 9746 2022/06/29 05:06:43 - mmengine - INFO - Epoch(val) [94][140/310] eta: 0:03:21 time: 1.131 data_time: 0.470 memory: 9746 2022/06/29 05:07:07 - mmengine - INFO - Epoch(val) [94][160/310] eta: 0:03:17 time: 3.404 data_time: 2.707 memory: 9746 2022/06/29 05:07:30 - mmengine - INFO - Epoch(val) [94][180/310] eta: 0:02:47 time: 1.012 data_time: 0.358 memory: 9746 2022/06/29 05:07:52 - mmengine - INFO - Epoch(val) [94][200/310] eta: 0:02:02 time: 1.073 data_time: 0.449 memory: 9746 2022/06/29 05:08:14 - mmengine - INFO - Epoch(val) [94][220/310] eta: 0:01:38 time: 1.298 data_time: 0.642 memory: 9746 2022/06/29 05:08:35 - mmengine - INFO - Epoch(val) [94][240/310] eta: 0:01:14 time: 0.891 data_time: 0.214 memory: 9746 2022/06/29 05:08:58 - mmengine - INFO - Epoch(val) [94][260/310] eta: 0:00:56 time: 1.022 data_time: 0.393 memory: 9746 2022/06/29 05:09:22 - mmengine - INFO - Epoch(val) [94][280/310] eta: 0:00:35 time: 1.022 data_time: 0.372 memory: 9746 2022/06/29 05:09:41 - mmengine - INFO - Epoch(val) [94][300/310] eta: 0:00:08 time: 0.636 data_time: 0.072 memory: 9746 2022/06/29 05:09:54 - mmengine - INFO - Epoch(val) [94][310/310] acc/top1: 0.7230 acc/top5: 0.9055 acc/mean1: 0.7229 2022/06/29 05:10:03 - mmengine - INFO - Epoch(train) [95][20/3757] lr: 1.000e-04 eta: 1:39:51 time: 0.205 data_time: 0.009 memory: 9746 grad_norm: 9.8953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2762 loss: 1.2762 2022/06/29 05:10:09 - mmengine - INFO - Epoch(train) [95][40/3757] lr: 1.000e-04 eta: 1:39:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 11.0681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1109 loss: 1.1109 2022/06/29 05:10:13 - mmengine - INFO - Epoch(train) [95][60/3757] lr: 1.000e-04 eta: 1:39:41 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.8417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3206 loss: 1.3206 2022/06/29 05:10:19 - mmengine - INFO - Epoch(train) [95][80/3757] lr: 1.000e-04 eta: 1:39:35 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.3235 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0084 loss: 1.0084 2022/06/29 05:10:26 - mmengine - INFO - Epoch(train) [95][100/3757] lr: 1.000e-04 eta: 1:39:30 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 7.9330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/06/29 05:10:30 - mmengine - INFO - Epoch(train) [95][120/3757] lr: 1.000e-04 eta: 1:39:25 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.4512 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2643 loss: 1.2643 2022/06/29 05:10:36 - mmengine - INFO - Epoch(train) [95][140/3757] lr: 1.000e-04 eta: 1:39:19 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2114 loss: 1.2114 2022/06/29 05:10:40 - mmengine - INFO - Epoch(train) [95][160/3757] lr: 1.000e-04 eta: 1:39:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.7201 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9223 loss: 0.9223 2022/06/29 05:10:45 - mmengine - INFO - Epoch(train) [95][180/3757] lr: 1.000e-04 eta: 1:39:09 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.1977 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0946 loss: 1.0946 2022/06/29 05:10:51 - mmengine - INFO - Epoch(train) [95][200/3757] lr: 1.000e-04 eta: 1:39:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.7545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/06/29 05:10:57 - mmengine - INFO - Epoch(train) [95][220/3757] lr: 1.000e-04 eta: 1:38:58 time: 0.197 data_time: 0.010 memory: 5150 grad_norm: 8.9464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0140 loss: 1.0140 2022/06/29 05:11:02 - mmengine - INFO - Epoch(train) [95][240/3757] lr: 1.000e-04 eta: 1:38:53 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.9338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8616 loss: 0.8616 2022/06/29 05:11:08 - mmengine - INFO - Epoch(train) [95][260/3757] lr: 1.000e-04 eta: 1:38:47 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.7139 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6218 loss: 1.6218 2022/06/29 05:11:13 - mmengine - INFO - Epoch(train) [95][280/3757] lr: 1.000e-04 eta: 1:38:42 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8300 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/06/29 05:11:18 - mmengine - INFO - Epoch(train) [95][300/3757] lr: 1.000e-04 eta: 1:38:37 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.7654 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9714 loss: 0.9714 2022/06/29 05:11:24 - mmengine - INFO - Epoch(train) [95][320/3757] lr: 1.000e-04 eta: 1:38:32 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 9.0428 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3533 loss: 1.3533 2022/06/29 05:11:29 - mmengine - INFO - Epoch(train) [95][340/3757] lr: 1.000e-04 eta: 1:38:26 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.7460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/06/29 05:11:34 - mmengine - INFO - Epoch(train) [95][360/3757] lr: 1.000e-04 eta: 1:38:21 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.9757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9886 loss: 0.9886 2022/06/29 05:11:40 - mmengine - INFO - Epoch(train) [95][380/3757] lr: 1.000e-04 eta: 1:38:16 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5358 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/06/29 05:11:45 - mmengine - INFO - Epoch(train) [95][400/3757] lr: 1.000e-04 eta: 1:38:10 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.3153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2085 loss: 1.2085 2022/06/29 05:11:50 - mmengine - INFO - Epoch(train) [95][420/3757] lr: 1.000e-04 eta: 1:38:05 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 9.1283 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4282 loss: 1.4282 2022/06/29 05:11:56 - mmengine - INFO - Epoch(train) [95][440/3757] lr: 1.000e-04 eta: 1:38:00 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.9785 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2547 loss: 1.2547 2022/06/29 05:12:01 - mmengine - INFO - Epoch(train) [95][460/3757] lr: 1.000e-04 eta: 1:37:54 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 9.3483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/06/29 05:12:07 - mmengine - INFO - Epoch(train) [95][480/3757] lr: 1.000e-04 eta: 1:37:49 time: 0.474 data_time: 0.008 memory: 5150 grad_norm: 9.0130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2389 loss: 1.2389 2022/06/29 05:12:12 - mmengine - INFO - Epoch(train) [95][500/3757] lr: 1.000e-04 eta: 1:37:44 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.1433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/06/29 05:12:17 - mmengine - INFO - Epoch(train) [95][520/3757] lr: 1.000e-04 eta: 1:37:38 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 9.0583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/06/29 05:12:23 - mmengine - INFO - Epoch(train) [95][540/3757] lr: 1.000e-04 eta: 1:37:33 time: 0.827 data_time: 0.008 memory: 5150 grad_norm: 9.1522 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0191 loss: 1.0191 2022/06/29 05:12:28 - mmengine - INFO - Epoch(train) [95][560/3757] lr: 1.000e-04 eta: 1:37:28 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.0492 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/06/29 05:12:33 - mmengine - INFO - Epoch(train) [95][580/3757] lr: 1.000e-04 eta: 1:37:22 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.4622 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6623 loss: 1.6623 2022/06/29 05:12:39 - mmengine - INFO - Epoch(train) [95][600/3757] lr: 1.000e-04 eta: 1:37:17 time: 0.776 data_time: 0.007 memory: 5150 grad_norm: 7.6751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9855 loss: 0.9855 2022/06/29 05:12:44 - mmengine - INFO - Epoch(train) [95][620/3757] lr: 1.000e-04 eta: 1:37:12 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.4771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/06/29 05:12:49 - mmengine - INFO - Epoch(train) [95][640/3757] lr: 1.000e-04 eta: 1:37:06 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 9.0822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/29 05:12:55 - mmengine - INFO - Epoch(train) [95][660/3757] lr: 1.000e-04 eta: 1:37:01 time: 0.611 data_time: 0.007 memory: 5150 grad_norm: 9.3316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4367 loss: 1.4367 2022/06/29 05:13:00 - mmengine - INFO - Epoch(train) [95][680/3757] lr: 1.000e-04 eta: 1:36:56 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.3459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/06/29 05:13:06 - mmengine - INFO - Epoch(train) [95][700/3757] lr: 1.000e-04 eta: 1:36:50 time: 0.463 data_time: 0.007 memory: 5150 grad_norm: 8.6210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1435 loss: 1.1435 2022/06/29 05:13:11 - mmengine - INFO - Epoch(train) [95][720/3757] lr: 1.000e-04 eta: 1:36:45 time: 0.745 data_time: 0.008 memory: 5150 grad_norm: 11.0863 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1967 loss: 1.1967 2022/06/29 05:13:16 - mmengine - INFO - Epoch(train) [95][740/3757] lr: 1.000e-04 eta: 1:36:40 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 9.7476 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2369 loss: 1.2369 2022/06/29 05:13:22 - mmengine - INFO - Epoch(train) [95][760/3757] lr: 1.000e-04 eta: 1:36:34 time: 0.224 data_time: 0.014 memory: 5150 grad_norm: 9.9290 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1954 loss: 1.1954 2022/06/29 05:13:27 - mmengine - INFO - Epoch(train) [95][780/3757] lr: 1.000e-04 eta: 1:36:29 time: 0.551 data_time: 0.008 memory: 5150 grad_norm: 9.5569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8987 loss: 0.8987 2022/06/29 05:13:32 - mmengine - INFO - Epoch(train) [95][800/3757] lr: 1.000e-04 eta: 1:36:24 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.9751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9604 loss: 0.9604 2022/06/29 05:13:37 - mmengine - INFO - Epoch(train) [95][820/3757] lr: 1.000e-04 eta: 1:36:18 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.1959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2437 loss: 1.2437 2022/06/29 05:13:42 - mmengine - INFO - Epoch(train) [95][840/3757] lr: 1.000e-04 eta: 1:36:13 time: 0.251 data_time: 0.008 memory: 5150 grad_norm: 9.1631 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1482 loss: 1.1482 2022/06/29 05:13:43 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:13:48 - mmengine - INFO - Epoch(train) [95][860/3757] lr: 1.000e-04 eta: 1:36:08 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.8837 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9822 loss: 0.9822 2022/06/29 05:13:53 - mmengine - INFO - Epoch(train) [95][880/3757] lr: 1.000e-04 eta: 1:36:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.3252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9591 loss: 0.9591 2022/06/29 05:13:58 - mmengine - INFO - Epoch(train) [95][900/3757] lr: 1.000e-04 eta: 1:35:57 time: 0.237 data_time: 0.009 memory: 5150 grad_norm: 9.2103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0079 loss: 1.0079 2022/06/29 05:14:04 - mmengine - INFO - Epoch(train) [95][920/3757] lr: 1.000e-04 eta: 1:35:52 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.4319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0009 loss: 1.0009 2022/06/29 05:14:09 - mmengine - INFO - Epoch(train) [95][940/3757] lr: 1.000e-04 eta: 1:35:47 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.1219 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1531 loss: 1.1531 2022/06/29 05:14:15 - mmengine - INFO - Epoch(train) [95][960/3757] lr: 1.000e-04 eta: 1:35:41 time: 1.031 data_time: 0.008 memory: 5150 grad_norm: 8.7364 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0449 loss: 1.0449 2022/06/29 05:14:20 - mmengine - INFO - Epoch(train) [95][980/3757] lr: 1.000e-04 eta: 1:35:36 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.3809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2062 loss: 1.2062 2022/06/29 05:14:26 - mmengine - INFO - Epoch(train) [95][1000/3757] lr: 1.000e-04 eta: 1:35:31 time: 0.218 data_time: 0.015 memory: 5150 grad_norm: 8.2564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3387 loss: 1.3387 2022/06/29 05:14:31 - mmengine - INFO - Epoch(train) [95][1020/3757] lr: 1.000e-04 eta: 1:35:25 time: 0.552 data_time: 0.011 memory: 5150 grad_norm: 9.3611 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3700 loss: 1.3700 2022/06/29 05:14:36 - mmengine - INFO - Epoch(train) [95][1040/3757] lr: 1.000e-04 eta: 1:35:20 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 9.7112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2480 loss: 1.2480 2022/06/29 05:14:41 - mmengine - INFO - Epoch(train) [95][1060/3757] lr: 1.000e-04 eta: 1:35:15 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.9387 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0439 loss: 1.0439 2022/06/29 05:14:47 - mmengine - INFO - Epoch(train) [95][1080/3757] lr: 1.000e-04 eta: 1:35:09 time: 0.961 data_time: 0.007 memory: 5150 grad_norm: 8.5551 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3689 loss: 1.3689 2022/06/29 05:14:52 - mmengine - INFO - Epoch(train) [95][1100/3757] lr: 1.000e-04 eta: 1:35:04 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 11.2161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8394 loss: 0.8394 2022/06/29 05:14:58 - mmengine - INFO - Epoch(train) [95][1120/3757] lr: 1.000e-04 eta: 1:34:59 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.2208 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/06/29 05:15:03 - mmengine - INFO - Epoch(train) [95][1140/3757] lr: 1.000e-04 eta: 1:34:53 time: 0.775 data_time: 0.007 memory: 5150 grad_norm: 7.4428 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/06/29 05:15:08 - mmengine - INFO - Epoch(train) [95][1160/3757] lr: 1.000e-04 eta: 1:34:48 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.8524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5203 loss: 1.5203 2022/06/29 05:15:13 - mmengine - INFO - Epoch(train) [95][1180/3757] lr: 1.000e-04 eta: 1:34:43 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 7.7572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0438 loss: 1.0438 2022/06/29 05:15:19 - mmengine - INFO - Epoch(train) [95][1200/3757] lr: 1.000e-04 eta: 1:34:37 time: 0.883 data_time: 0.011 memory: 5150 grad_norm: 8.0045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2774 loss: 1.2774 2022/06/29 05:15:24 - mmengine - INFO - Epoch(train) [95][1220/3757] lr: 1.000e-04 eta: 1:34:32 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 8.7563 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0496 loss: 1.0496 2022/06/29 05:15:29 - mmengine - INFO - Epoch(train) [95][1240/3757] lr: 1.000e-04 eta: 1:34:27 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.1847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/06/29 05:15:35 - mmengine - INFO - Epoch(train) [95][1260/3757] lr: 1.000e-04 eta: 1:34:21 time: 0.830 data_time: 0.007 memory: 5150 grad_norm: 10.0050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1125 loss: 1.1125 2022/06/29 05:15:40 - mmengine - INFO - Epoch(train) [95][1280/3757] lr: 1.000e-04 eta: 1:34:16 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.8905 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9243 loss: 0.9243 2022/06/29 05:15:45 - mmengine - INFO - Epoch(train) [95][1300/3757] lr: 1.000e-04 eta: 1:34:11 time: 0.199 data_time: 0.015 memory: 5150 grad_norm: 9.4095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2487 loss: 1.2487 2022/06/29 05:15:51 - mmengine - INFO - Epoch(train) [95][1320/3757] lr: 1.000e-04 eta: 1:34:05 time: 0.729 data_time: 0.007 memory: 5150 grad_norm: 7.1405 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3969 loss: 1.3969 2022/06/29 05:15:56 - mmengine - INFO - Epoch(train) [95][1340/3757] lr: 1.000e-04 eta: 1:34:00 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.9983 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5682 loss: 1.5682 2022/06/29 05:16:02 - mmengine - INFO - Epoch(train) [95][1360/3757] lr: 1.000e-04 eta: 1:33:55 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 9.1138 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3538 loss: 1.3538 2022/06/29 05:16:08 - mmengine - INFO - Epoch(train) [95][1380/3757] lr: 1.000e-04 eta: 1:33:50 time: 1.140 data_time: 0.008 memory: 5150 grad_norm: 10.3600 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7705 loss: 0.7705 2022/06/29 05:16:13 - mmengine - INFO - Epoch(train) [95][1400/3757] lr: 1.000e-04 eta: 1:33:44 time: 0.228 data_time: 0.007 memory: 5150 grad_norm: 8.2947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0007 loss: 1.0007 2022/06/29 05:16:18 - mmengine - INFO - Epoch(train) [95][1420/3757] lr: 1.000e-04 eta: 1:33:39 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.6581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/06/29 05:16:23 - mmengine - INFO - Epoch(train) [95][1440/3757] lr: 1.000e-04 eta: 1:33:34 time: 0.932 data_time: 0.012 memory: 5150 grad_norm: 9.5051 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0093 loss: 1.0093 2022/06/29 05:16:28 - mmengine - INFO - Epoch(train) [95][1460/3757] lr: 1.000e-04 eta: 1:33:28 time: 0.287 data_time: 0.013 memory: 5150 grad_norm: 8.4587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7907 loss: 0.7907 2022/06/29 05:16:34 - mmengine - INFO - Epoch(train) [95][1480/3757] lr: 1.000e-04 eta: 1:33:23 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.8980 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5206 loss: 1.5206 2022/06/29 05:16:39 - mmengine - INFO - Epoch(train) [95][1500/3757] lr: 1.000e-04 eta: 1:33:18 time: 0.234 data_time: 0.011 memory: 5150 grad_norm: 9.7872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4536 loss: 1.4536 2022/06/29 05:16:44 - mmengine - INFO - Epoch(train) [95][1520/3757] lr: 1.000e-04 eta: 1:33:12 time: 0.209 data_time: 0.011 memory: 5150 grad_norm: 8.3992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2571 loss: 1.2571 2022/06/29 05:16:49 - mmengine - INFO - Epoch(train) [95][1540/3757] lr: 1.000e-04 eta: 1:33:07 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.1610 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0532 loss: 1.0532 2022/06/29 05:16:55 - mmengine - INFO - Epoch(train) [95][1560/3757] lr: 1.000e-04 eta: 1:33:02 time: 0.356 data_time: 0.013 memory: 5150 grad_norm: 10.3827 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1433 loss: 1.1433 2022/06/29 05:17:00 - mmengine - INFO - Epoch(train) [95][1580/3757] lr: 1.000e-04 eta: 1:32:56 time: 0.232 data_time: 0.013 memory: 5150 grad_norm: 8.5455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/06/29 05:17:06 - mmengine - INFO - Epoch(train) [95][1600/3757] lr: 1.000e-04 eta: 1:32:51 time: 0.208 data_time: 0.020 memory: 5150 grad_norm: 9.5890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/06/29 05:17:11 - mmengine - INFO - Epoch(train) [95][1620/3757] lr: 1.000e-04 eta: 1:32:46 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 8.6093 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5569 loss: 1.5569 2022/06/29 05:17:16 - mmengine - INFO - Epoch(train) [95][1640/3757] lr: 1.000e-04 eta: 1:32:40 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.5503 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1952 loss: 1.1952 2022/06/29 05:17:22 - mmengine - INFO - Epoch(train) [95][1660/3757] lr: 1.000e-04 eta: 1:32:35 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 10.2602 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2785 loss: 1.2785 2022/06/29 05:17:27 - mmengine - INFO - Epoch(train) [95][1680/3757] lr: 1.000e-04 eta: 1:32:30 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.4797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/06/29 05:17:32 - mmengine - INFO - Epoch(train) [95][1700/3757] lr: 1.000e-04 eta: 1:32:24 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 10.9582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/06/29 05:17:38 - mmengine - INFO - Epoch(train) [95][1720/3757] lr: 1.000e-04 eta: 1:32:19 time: 0.221 data_time: 0.014 memory: 5150 grad_norm: 9.7035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3648 loss: 1.3648 2022/06/29 05:17:43 - mmengine - INFO - Epoch(train) [95][1740/3757] lr: 1.000e-04 eta: 1:32:14 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 7.3765 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2866 loss: 1.2866 2022/06/29 05:17:48 - mmengine - INFO - Epoch(train) [95][1760/3757] lr: 1.000e-04 eta: 1:32:08 time: 0.222 data_time: 0.007 memory: 5150 grad_norm: 8.4624 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1108 loss: 1.1108 2022/06/29 05:17:53 - mmengine - INFO - Epoch(train) [95][1780/3757] lr: 1.000e-04 eta: 1:32:03 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7941 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9310 loss: 0.9310 2022/06/29 05:17:58 - mmengine - INFO - Epoch(train) [95][1800/3757] lr: 1.000e-04 eta: 1:31:58 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 11.2873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1105 loss: 1.1105 2022/06/29 05:18:03 - mmengine - INFO - Epoch(train) [95][1820/3757] lr: 1.000e-04 eta: 1:31:52 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 11.6853 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1219 loss: 1.1219 2022/06/29 05:18:09 - mmengine - INFO - Epoch(train) [95][1840/3757] lr: 1.000e-04 eta: 1:31:47 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.6382 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8799 loss: 0.8799 2022/06/29 05:18:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:18:14 - mmengine - INFO - Epoch(train) [95][1860/3757] lr: 1.000e-04 eta: 1:31:42 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.2943 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4269 loss: 1.4269 2022/06/29 05:18:20 - mmengine - INFO - Epoch(train) [95][1880/3757] lr: 1.000e-04 eta: 1:31:36 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.1262 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1795 loss: 1.1795 2022/06/29 05:18:25 - mmengine - INFO - Epoch(train) [95][1900/3757] lr: 1.000e-04 eta: 1:31:31 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 10.3024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9691 loss: 0.9691 2022/06/29 05:18:30 - mmengine - INFO - Epoch(train) [95][1920/3757] lr: 1.000e-04 eta: 1:31:26 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.6083 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4782 loss: 1.4782 2022/06/29 05:18:36 - mmengine - INFO - Epoch(train) [95][1940/3757] lr: 1.000e-04 eta: 1:31:20 time: 0.262 data_time: 0.008 memory: 5150 grad_norm: 8.7399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8374 loss: 0.8374 2022/06/29 05:18:41 - mmengine - INFO - Epoch(train) [95][1960/3757] lr: 1.000e-04 eta: 1:31:15 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 11.1455 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2106 loss: 1.2106 2022/06/29 05:18:46 - mmengine - INFO - Epoch(train) [95][1980/3757] lr: 1.000e-04 eta: 1:31:10 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 10.8983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/06/29 05:18:51 - mmengine - INFO - Epoch(train) [95][2000/3757] lr: 1.000e-04 eta: 1:31:04 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.3414 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3361 loss: 1.3361 2022/06/29 05:18:57 - mmengine - INFO - Epoch(train) [95][2020/3757] lr: 1.000e-04 eta: 1:30:59 time: 0.212 data_time: 0.031 memory: 5150 grad_norm: 8.9361 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3476 loss: 1.3476 2022/06/29 05:19:01 - mmengine - INFO - Epoch(train) [95][2040/3757] lr: 1.000e-04 eta: 1:30:54 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 9.2357 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3957 loss: 1.3957 2022/06/29 05:19:07 - mmengine - INFO - Epoch(train) [95][2060/3757] lr: 1.000e-04 eta: 1:30:48 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 9.2390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1178 loss: 1.1178 2022/06/29 05:19:13 - mmengine - INFO - Epoch(train) [95][2080/3757] lr: 1.000e-04 eta: 1:30:43 time: 0.231 data_time: 0.024 memory: 5150 grad_norm: 9.2376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/06/29 05:19:18 - mmengine - INFO - Epoch(train) [95][2100/3757] lr: 1.000e-04 eta: 1:30:38 time: 0.220 data_time: 0.009 memory: 5150 grad_norm: 8.5182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3048 loss: 1.3048 2022/06/29 05:19:23 - mmengine - INFO - Epoch(train) [95][2120/3757] lr: 1.000e-04 eta: 1:30:32 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.3575 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0787 loss: 1.0787 2022/06/29 05:19:28 - mmengine - INFO - Epoch(train) [95][2140/3757] lr: 1.000e-04 eta: 1:30:27 time: 0.197 data_time: 0.018 memory: 5150 grad_norm: 9.5941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2358 loss: 1.2358 2022/06/29 05:19:33 - mmengine - INFO - Epoch(train) [95][2160/3757] lr: 1.000e-04 eta: 1:30:22 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9038 loss: 0.9038 2022/06/29 05:19:39 - mmengine - INFO - Epoch(train) [95][2180/3757] lr: 1.000e-04 eta: 1:30:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.8337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0887 loss: 1.0887 2022/06/29 05:19:44 - mmengine - INFO - Epoch(train) [95][2200/3757] lr: 1.000e-04 eta: 1:30:11 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 10.2716 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0403 loss: 1.0403 2022/06/29 05:19:49 - mmengine - INFO - Epoch(train) [95][2220/3757] lr: 1.000e-04 eta: 1:30:06 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.4376 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6987 loss: 1.6987 2022/06/29 05:19:54 - mmengine - INFO - Epoch(train) [95][2240/3757] lr: 1.000e-04 eta: 1:30:01 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.3956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/06/29 05:20:00 - mmengine - INFO - Epoch(train) [95][2260/3757] lr: 1.000e-04 eta: 1:29:55 time: 0.204 data_time: 0.027 memory: 5150 grad_norm: 8.3411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7731 loss: 0.7731 2022/06/29 05:20:05 - mmengine - INFO - Epoch(train) [95][2280/3757] lr: 1.000e-04 eta: 1:29:50 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 8.8241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7465 loss: 0.7465 2022/06/29 05:20:10 - mmengine - INFO - Epoch(train) [95][2300/3757] lr: 1.000e-04 eta: 1:29:45 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.6000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0137 loss: 1.0137 2022/06/29 05:20:15 - mmengine - INFO - Epoch(train) [95][2320/3757] lr: 1.000e-04 eta: 1:29:39 time: 0.203 data_time: 0.031 memory: 5150 grad_norm: 9.4156 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2346 loss: 1.2346 2022/06/29 05:20:20 - mmengine - INFO - Epoch(train) [95][2340/3757] lr: 1.000e-04 eta: 1:29:34 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 7.8989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9942 loss: 0.9942 2022/06/29 05:20:25 - mmengine - INFO - Epoch(train) [95][2360/3757] lr: 1.000e-04 eta: 1:29:29 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 8.1231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2419 loss: 1.2419 2022/06/29 05:20:31 - mmengine - INFO - Epoch(train) [95][2380/3757] lr: 1.000e-04 eta: 1:29:23 time: 0.241 data_time: 0.063 memory: 5150 grad_norm: 9.3919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5216 loss: 1.5216 2022/06/29 05:20:36 - mmengine - INFO - Epoch(train) [95][2400/3757] lr: 1.000e-04 eta: 1:29:18 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.8444 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0085 loss: 1.0085 2022/06/29 05:20:41 - mmengine - INFO - Epoch(train) [95][2420/3757] lr: 1.000e-04 eta: 1:29:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.5475 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4455 loss: 1.4455 2022/06/29 05:20:47 - mmengine - INFO - Epoch(train) [95][2440/3757] lr: 1.000e-04 eta: 1:29:07 time: 0.209 data_time: 0.017 memory: 5150 grad_norm: 9.3886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/06/29 05:20:52 - mmengine - INFO - Epoch(train) [95][2460/3757] lr: 1.000e-04 eta: 1:29:02 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.4137 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0378 loss: 1.0378 2022/06/29 05:20:57 - mmengine - INFO - Epoch(train) [95][2480/3757] lr: 1.000e-04 eta: 1:28:57 time: 0.211 data_time: 0.017 memory: 5150 grad_norm: 8.8645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2975 loss: 1.2975 2022/06/29 05:21:03 - mmengine - INFO - Epoch(train) [95][2500/3757] lr: 1.000e-04 eta: 1:28:51 time: 0.223 data_time: 0.015 memory: 5150 grad_norm: 9.8237 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.8167 loss: 0.8167 2022/06/29 05:21:08 - mmengine - INFO - Epoch(train) [95][2520/3757] lr: 1.000e-04 eta: 1:28:46 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.7556 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/06/29 05:21:13 - mmengine - INFO - Epoch(train) [95][2540/3757] lr: 1.000e-04 eta: 1:28:41 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.6067 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/06/29 05:21:19 - mmengine - INFO - Epoch(train) [95][2560/3757] lr: 1.000e-04 eta: 1:28:35 time: 0.531 data_time: 0.014 memory: 5150 grad_norm: 10.0805 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.1797 loss: 1.1797 2022/06/29 05:21:24 - mmengine - INFO - Epoch(train) [95][2580/3757] lr: 1.000e-04 eta: 1:28:30 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 8.6014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0948 loss: 1.0948 2022/06/29 05:21:29 - mmengine - INFO - Epoch(train) [95][2600/3757] lr: 1.000e-04 eta: 1:28:25 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.2858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0858 loss: 1.0858 2022/06/29 05:21:34 - mmengine - INFO - Epoch(train) [95][2620/3757] lr: 1.000e-04 eta: 1:28:19 time: 0.510 data_time: 0.023 memory: 5150 grad_norm: 8.0758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7934 loss: 0.7934 2022/06/29 05:21:39 - mmengine - INFO - Epoch(train) [95][2640/3757] lr: 1.000e-04 eta: 1:28:14 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.0528 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1168 loss: 1.1168 2022/06/29 05:21:45 - mmengine - INFO - Epoch(train) [95][2660/3757] lr: 1.000e-04 eta: 1:28:09 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 11.1803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1359 loss: 1.1359 2022/06/29 05:21:50 - mmengine - INFO - Epoch(train) [95][2680/3757] lr: 1.000e-04 eta: 1:28:03 time: 0.356 data_time: 0.014 memory: 5150 grad_norm: 8.5446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/06/29 05:21:56 - mmengine - INFO - Epoch(train) [95][2700/3757] lr: 1.000e-04 eta: 1:27:58 time: 0.264 data_time: 0.008 memory: 5150 grad_norm: 8.0818 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/06/29 05:22:01 - mmengine - INFO - Epoch(train) [95][2720/3757] lr: 1.000e-04 eta: 1:27:53 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.1189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2482 loss: 1.2482 2022/06/29 05:22:07 - mmengine - INFO - Epoch(train) [95][2740/3757] lr: 1.000e-04 eta: 1:27:47 time: 0.235 data_time: 0.053 memory: 5150 grad_norm: 9.6248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9335 loss: 0.9335 2022/06/29 05:22:12 - mmengine - INFO - Epoch(train) [95][2760/3757] lr: 1.000e-04 eta: 1:27:42 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 11.6332 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2182 loss: 1.2182 2022/06/29 05:22:18 - mmengine - INFO - Epoch(train) [95][2780/3757] lr: 1.000e-04 eta: 1:27:37 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.7572 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/06/29 05:22:22 - mmengine - INFO - Epoch(train) [95][2800/3757] lr: 1.000e-04 eta: 1:27:31 time: 0.226 data_time: 0.046 memory: 5150 grad_norm: 9.7094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4961 loss: 1.4961 2022/06/29 05:22:27 - mmengine - INFO - Epoch(train) [95][2820/3757] lr: 1.000e-04 eta: 1:27:26 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 11.4541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0873 loss: 1.0873 2022/06/29 05:22:33 - mmengine - INFO - Epoch(train) [95][2840/3757] lr: 1.000e-04 eta: 1:27:21 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.3695 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/06/29 05:22:34 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:22:38 - mmengine - INFO - Epoch(train) [95][2860/3757] lr: 1.000e-04 eta: 1:27:16 time: 0.319 data_time: 0.025 memory: 5150 grad_norm: 9.1588 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2129 loss: 1.2129 2022/06/29 05:22:44 - mmengine - INFO - Epoch(train) [95][2880/3757] lr: 1.000e-04 eta: 1:27:10 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 7.3735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9918 loss: 0.9918 2022/06/29 05:22:49 - mmengine - INFO - Epoch(train) [95][2900/3757] lr: 1.000e-04 eta: 1:27:05 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 8.0779 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0748 loss: 1.0748 2022/06/29 05:22:54 - mmengine - INFO - Epoch(train) [95][2920/3757] lr: 1.000e-04 eta: 1:27:00 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 9.2587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2531 loss: 1.2531 2022/06/29 05:22:59 - mmengine - INFO - Epoch(train) [95][2940/3757] lr: 1.000e-04 eta: 1:26:54 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.8172 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2775 loss: 1.2775 2022/06/29 05:23:05 - mmengine - INFO - Epoch(train) [95][2960/3757] lr: 1.000e-04 eta: 1:26:49 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.5843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2675 loss: 1.2675 2022/06/29 05:23:10 - mmengine - INFO - Epoch(train) [95][2980/3757] lr: 1.000e-04 eta: 1:26:44 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.2870 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/06/29 05:23:15 - mmengine - INFO - Epoch(train) [95][3000/3757] lr: 1.000e-04 eta: 1:26:38 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 8.6053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1961 loss: 1.1961 2022/06/29 05:23:21 - mmengine - INFO - Epoch(train) [95][3020/3757] lr: 1.000e-04 eta: 1:26:33 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.3421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7920 loss: 0.7920 2022/06/29 05:23:25 - mmengine - INFO - Epoch(train) [95][3040/3757] lr: 1.000e-04 eta: 1:26:28 time: 0.212 data_time: 0.007 memory: 5150 grad_norm: 9.3483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8379 loss: 0.8379 2022/06/29 05:23:31 - mmengine - INFO - Epoch(train) [95][3060/3757] lr: 1.000e-04 eta: 1:26:22 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.5160 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8970 loss: 0.8970 2022/06/29 05:23:37 - mmengine - INFO - Epoch(train) [95][3080/3757] lr: 1.000e-04 eta: 1:26:17 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.1117 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 1.5098 loss: 1.5098 2022/06/29 05:23:41 - mmengine - INFO - Epoch(train) [95][3100/3757] lr: 1.000e-04 eta: 1:26:12 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.4044 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3276 loss: 1.3276 2022/06/29 05:23:47 - mmengine - INFO - Epoch(train) [95][3120/3757] lr: 1.000e-04 eta: 1:26:06 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.0011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7321 loss: 1.7321 2022/06/29 05:23:52 - mmengine - INFO - Epoch(train) [95][3140/3757] lr: 1.000e-04 eta: 1:26:01 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 8.3011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0773 loss: 1.0773 2022/06/29 05:23:57 - mmengine - INFO - Epoch(train) [95][3160/3757] lr: 1.000e-04 eta: 1:25:56 time: 0.395 data_time: 0.006 memory: 5150 grad_norm: 8.0005 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3060 loss: 1.3060 2022/06/29 05:24:02 - mmengine - INFO - Epoch(train) [95][3180/3757] lr: 1.000e-04 eta: 1:25:50 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 9.7326 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1871 loss: 1.1871 2022/06/29 05:24:08 - mmengine - INFO - Epoch(train) [95][3200/3757] lr: 1.000e-04 eta: 1:25:45 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.5165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/06/29 05:24:13 - mmengine - INFO - Epoch(train) [95][3220/3757] lr: 1.000e-04 eta: 1:25:40 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.8920 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0950 loss: 1.0950 2022/06/29 05:24:19 - mmengine - INFO - Epoch(train) [95][3240/3757] lr: 1.000e-04 eta: 1:25:34 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.3375 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2918 loss: 1.2918 2022/06/29 05:24:23 - mmengine - INFO - Epoch(train) [95][3260/3757] lr: 1.000e-04 eta: 1:25:29 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.5997 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0294 loss: 1.0294 2022/06/29 05:24:29 - mmengine - INFO - Epoch(train) [95][3280/3757] lr: 1.000e-04 eta: 1:25:24 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 8.1951 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4686 loss: 1.4686 2022/06/29 05:24:35 - mmengine - INFO - Epoch(train) [95][3300/3757] lr: 1.000e-04 eta: 1:25:18 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.0302 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8582 loss: 0.8582 2022/06/29 05:24:40 - mmengine - INFO - Epoch(train) [95][3320/3757] lr: 1.000e-04 eta: 1:25:13 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 11.1418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1326 loss: 1.1326 2022/06/29 05:24:45 - mmengine - INFO - Epoch(train) [95][3340/3757] lr: 1.000e-04 eta: 1:25:08 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 9.8257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2453 loss: 1.2453 2022/06/29 05:24:51 - mmengine - INFO - Epoch(train) [95][3360/3757] lr: 1.000e-04 eta: 1:25:02 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 9.3043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0554 loss: 1.0554 2022/06/29 05:24:56 - mmengine - INFO - Epoch(train) [95][3380/3757] lr: 1.000e-04 eta: 1:24:57 time: 0.699 data_time: 0.009 memory: 5150 grad_norm: 8.3966 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8795 loss: 0.8795 2022/06/29 05:25:01 - mmengine - INFO - Epoch(train) [95][3400/3757] lr: 1.000e-04 eta: 1:24:52 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.6387 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1286 loss: 1.1286 2022/06/29 05:25:07 - mmengine - INFO - Epoch(train) [95][3420/3757] lr: 1.000e-04 eta: 1:24:47 time: 0.642 data_time: 0.013 memory: 5150 grad_norm: 8.0870 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2517 loss: 1.2517 2022/06/29 05:25:12 - mmengine - INFO - Epoch(train) [95][3440/3757] lr: 1.000e-04 eta: 1:24:41 time: 0.819 data_time: 0.007 memory: 5150 grad_norm: 7.8070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9660 loss: 0.9660 2022/06/29 05:25:17 - mmengine - INFO - Epoch(train) [95][3460/3757] lr: 1.000e-04 eta: 1:24:36 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 8.7325 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1735 loss: 1.1735 2022/06/29 05:25:23 - mmengine - INFO - Epoch(train) [95][3480/3757] lr: 1.000e-04 eta: 1:24:31 time: 0.405 data_time: 0.009 memory: 5150 grad_norm: 9.9271 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/06/29 05:25:28 - mmengine - INFO - Epoch(train) [95][3500/3757] lr: 1.000e-04 eta: 1:24:25 time: 0.820 data_time: 0.008 memory: 5150 grad_norm: 9.2551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8510 loss: 0.8510 2022/06/29 05:25:34 - mmengine - INFO - Epoch(train) [95][3520/3757] lr: 1.000e-04 eta: 1:24:20 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.7231 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0976 loss: 1.0976 2022/06/29 05:25:39 - mmengine - INFO - Epoch(train) [95][3540/3757] lr: 1.000e-04 eta: 1:24:15 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 10.9227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1151 loss: 1.1151 2022/06/29 05:25:44 - mmengine - INFO - Epoch(train) [95][3560/3757] lr: 1.000e-04 eta: 1:24:09 time: 0.522 data_time: 0.008 memory: 5150 grad_norm: 8.0687 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0368 loss: 1.0368 2022/06/29 05:25:49 - mmengine - INFO - Epoch(train) [95][3580/3757] lr: 1.000e-04 eta: 1:24:04 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 7.9192 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0407 loss: 1.0407 2022/06/29 05:25:55 - mmengine - INFO - Epoch(train) [95][3600/3757] lr: 1.000e-04 eta: 1:23:59 time: 0.237 data_time: 0.008 memory: 5150 grad_norm: 8.9219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8506 loss: 0.8506 2022/06/29 05:26:01 - mmengine - INFO - Epoch(train) [95][3620/3757] lr: 1.000e-04 eta: 1:23:53 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 10.0897 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1478 loss: 1.1478 2022/06/29 05:26:06 - mmengine - INFO - Epoch(train) [95][3640/3757] lr: 1.000e-04 eta: 1:23:48 time: 0.199 data_time: 0.016 memory: 5150 grad_norm: 11.7661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1740 loss: 1.1740 2022/06/29 05:26:11 - mmengine - INFO - Epoch(train) [95][3660/3757] lr: 1.000e-04 eta: 1:23:43 time: 0.686 data_time: 0.014 memory: 5150 grad_norm: 7.8055 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/06/29 05:26:16 - mmengine - INFO - Epoch(train) [95][3680/3757] lr: 1.000e-04 eta: 1:23:37 time: 0.301 data_time: 0.008 memory: 5150 grad_norm: 9.0349 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2363 loss: 1.2363 2022/06/29 05:26:21 - mmengine - INFO - Epoch(train) [95][3700/3757] lr: 1.000e-04 eta: 1:23:32 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 9.8022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1828 loss: 1.1828 2022/06/29 05:26:28 - mmengine - INFO - Epoch(train) [95][3720/3757] lr: 1.000e-04 eta: 1:23:27 time: 1.126 data_time: 0.008 memory: 5150 grad_norm: 10.2951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0945 loss: 1.0945 2022/06/29 05:26:33 - mmengine - INFO - Epoch(train) [95][3740/3757] lr: 1.000e-04 eta: 1:23:21 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 10.7601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3947 loss: 1.3947 2022/06/29 05:26:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:26:36 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/06/29 05:27:11 - mmengine - INFO - Epoch(val) [95][20/310] eta: 0:05:29 time: 1.059 data_time: 0.412 memory: 9746 2022/06/29 05:27:33 - mmengine - INFO - Epoch(val) [95][40/310] eta: 0:04:46 time: 0.954 data_time: 0.311 memory: 9746 2022/06/29 05:27:57 - mmengine - INFO - Epoch(val) [95][60/310] eta: 0:04:25 time: 0.824 data_time: 0.203 memory: 9746 2022/06/29 05:28:19 - mmengine - INFO - Epoch(val) [95][80/310] eta: 0:04:02 time: 1.076 data_time: 0.416 memory: 9746 2022/06/29 05:28:42 - mmengine - INFO - Epoch(val) [95][100/310] eta: 0:04:08 time: 1.613 data_time: 0.945 memory: 9746 2022/06/29 05:29:04 - mmengine - INFO - Epoch(val) [95][120/310] eta: 0:03:25 time: 1.086 data_time: 0.461 memory: 9746 2022/06/29 05:29:28 - mmengine - INFO - Epoch(val) [95][140/310] eta: 0:03:27 time: 1.232 data_time: 0.577 memory: 9746 2022/06/29 05:29:53 - mmengine - INFO - Epoch(val) [95][160/310] eta: 0:03:10 time: 2.972 data_time: 2.313 memory: 9746 2022/06/29 05:30:16 - mmengine - INFO - Epoch(val) [95][180/310] eta: 0:02:54 time: 1.067 data_time: 0.415 memory: 9746 2022/06/29 05:30:39 - mmengine - INFO - Epoch(val) [95][200/310] eta: 0:02:04 time: 1.115 data_time: 0.461 memory: 9746 2022/06/29 05:31:00 - mmengine - INFO - Epoch(val) [95][220/310] eta: 0:01:36 time: 1.095 data_time: 0.448 memory: 9746 2022/06/29 05:31:22 - mmengine - INFO - Epoch(val) [95][240/310] eta: 0:01:19 time: 0.995 data_time: 0.331 memory: 9746 2022/06/29 05:31:45 - mmengine - INFO - Epoch(val) [95][260/310] eta: 0:00:58 time: 1.029 data_time: 0.376 memory: 9746 2022/06/29 05:32:08 - mmengine - INFO - Epoch(val) [95][280/310] eta: 0:00:34 time: 2.628 data_time: 1.950 memory: 9746 2022/06/29 05:32:27 - mmengine - INFO - Epoch(val) [95][300/310] eta: 0:00:08 time: 0.642 data_time: 0.071 memory: 9746 2022/06/29 05:32:38 - mmengine - INFO - Epoch(val) [95][310/310] acc/top1: 0.7216 acc/top5: 0.9064 acc/mean1: 0.7215 2022/06/29 05:32:47 - mmengine - INFO - Epoch(train) [96][20/3757] lr: 1.000e-04 eta: 1:23:12 time: 0.223 data_time: 0.008 memory: 9746 grad_norm: 10.0409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9702 loss: 0.9702 2022/06/29 05:32:53 - mmengine - INFO - Epoch(train) [96][40/3757] lr: 1.000e-04 eta: 1:23:06 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 7.6006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8199 loss: 0.8199 2022/06/29 05:32:57 - mmengine - INFO - Epoch(train) [96][60/3757] lr: 1.000e-04 eta: 1:23:01 time: 0.217 data_time: 0.010 memory: 5150 grad_norm: 11.1226 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/06/29 05:33:03 - mmengine - INFO - Epoch(train) [96][80/3757] lr: 1.000e-04 eta: 1:22:56 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.8912 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0139 loss: 1.0139 2022/06/29 05:33:04 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:33:09 - mmengine - INFO - Epoch(train) [96][100/3757] lr: 1.000e-04 eta: 1:22:50 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 9.2911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/06/29 05:33:14 - mmengine - INFO - Epoch(train) [96][120/3757] lr: 1.000e-04 eta: 1:22:45 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.3683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2419 loss: 1.2419 2022/06/29 05:33:20 - mmengine - INFO - Epoch(train) [96][140/3757] lr: 1.000e-04 eta: 1:22:40 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.1103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1085 loss: 1.1085 2022/06/29 05:33:25 - mmengine - INFO - Epoch(train) [96][160/3757] lr: 1.000e-04 eta: 1:22:34 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.7177 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1910 loss: 1.1910 2022/06/29 05:33:31 - mmengine - INFO - Epoch(train) [96][180/3757] lr: 1.000e-04 eta: 1:22:29 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 8.2267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9602 loss: 0.9602 2022/06/29 05:33:36 - mmengine - INFO - Epoch(train) [96][200/3757] lr: 1.000e-04 eta: 1:22:24 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.5633 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4238 loss: 1.4238 2022/06/29 05:33:41 - mmengine - INFO - Epoch(train) [96][220/3757] lr: 1.000e-04 eta: 1:22:18 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 7.5661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4697 loss: 1.4697 2022/06/29 05:33:46 - mmengine - INFO - Epoch(train) [96][240/3757] lr: 1.000e-04 eta: 1:22:13 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 7.0101 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1159 loss: 1.1159 2022/06/29 05:33:52 - mmengine - INFO - Epoch(train) [96][260/3757] lr: 1.000e-04 eta: 1:22:08 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.5637 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5010 loss: 1.5010 2022/06/29 05:33:57 - mmengine - INFO - Epoch(train) [96][280/3757] lr: 1.000e-04 eta: 1:22:02 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.3846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7723 loss: 0.7723 2022/06/29 05:34:02 - mmengine - INFO - Epoch(train) [96][300/3757] lr: 1.000e-04 eta: 1:21:57 time: 0.202 data_time: 0.014 memory: 5150 grad_norm: 10.7383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8945 loss: 0.8945 2022/06/29 05:34:07 - mmengine - INFO - Epoch(train) [96][320/3757] lr: 1.000e-04 eta: 1:21:52 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 10.4433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1717 loss: 1.1717 2022/06/29 05:34:13 - mmengine - INFO - Epoch(train) [96][340/3757] lr: 1.000e-04 eta: 1:21:46 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 10.6948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2305 loss: 1.2305 2022/06/29 05:34:18 - mmengine - INFO - Epoch(train) [96][360/3757] lr: 1.000e-04 eta: 1:21:41 time: 0.208 data_time: 0.026 memory: 5150 grad_norm: 7.4071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9608 loss: 0.9608 2022/06/29 05:34:23 - mmengine - INFO - Epoch(train) [96][380/3757] lr: 1.000e-04 eta: 1:21:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.5709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/06/29 05:34:29 - mmengine - INFO - Epoch(train) [96][400/3757] lr: 1.000e-04 eta: 1:21:30 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 9.6644 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0961 loss: 1.0961 2022/06/29 05:34:34 - mmengine - INFO - Epoch(train) [96][420/3757] lr: 1.000e-04 eta: 1:21:25 time: 0.202 data_time: 0.026 memory: 5150 grad_norm: 7.6613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7363 loss: 0.7363 2022/06/29 05:34:40 - mmengine - INFO - Epoch(train) [96][440/3757] lr: 1.000e-04 eta: 1:21:20 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 8.3269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1426 loss: 1.1426 2022/06/29 05:34:45 - mmengine - INFO - Epoch(train) [96][460/3757] lr: 1.000e-04 eta: 1:21:15 time: 0.656 data_time: 0.008 memory: 5150 grad_norm: 7.6632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4274 loss: 1.4274 2022/06/29 05:34:50 - mmengine - INFO - Epoch(train) [96][480/3757] lr: 1.000e-04 eta: 1:21:09 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 9.7334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2028 loss: 1.2028 2022/06/29 05:34:56 - mmengine - INFO - Epoch(train) [96][500/3757] lr: 1.000e-04 eta: 1:21:04 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 9.9427 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3234 loss: 1.3234 2022/06/29 05:35:01 - mmengine - INFO - Epoch(train) [96][520/3757] lr: 1.000e-04 eta: 1:20:59 time: 0.696 data_time: 0.008 memory: 5150 grad_norm: 8.4926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/06/29 05:35:06 - mmengine - INFO - Epoch(train) [96][540/3757] lr: 1.000e-04 eta: 1:20:53 time: 0.225 data_time: 0.014 memory: 5150 grad_norm: 7.0114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/06/29 05:35:12 - mmengine - INFO - Epoch(train) [96][560/3757] lr: 1.000e-04 eta: 1:20:48 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.2420 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0038 loss: 1.0038 2022/06/29 05:35:17 - mmengine - INFO - Epoch(train) [96][580/3757] lr: 1.000e-04 eta: 1:20:43 time: 0.277 data_time: 0.008 memory: 5150 grad_norm: 9.2570 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/06/29 05:35:22 - mmengine - INFO - Epoch(train) [96][600/3757] lr: 1.000e-04 eta: 1:20:37 time: 0.224 data_time: 0.020 memory: 5150 grad_norm: 8.3695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7873 loss: 0.7873 2022/06/29 05:35:27 - mmengine - INFO - Epoch(train) [96][620/3757] lr: 1.000e-04 eta: 1:20:32 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 7.3603 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1126 loss: 1.1126 2022/06/29 05:35:33 - mmengine - INFO - Epoch(train) [96][640/3757] lr: 1.000e-04 eta: 1:20:27 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 9.7368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1204 loss: 1.1204 2022/06/29 05:35:39 - mmengine - INFO - Epoch(train) [96][660/3757] lr: 1.000e-04 eta: 1:20:21 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 9.5045 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1071 loss: 1.1071 2022/06/29 05:35:43 - mmengine - INFO - Epoch(train) [96][680/3757] lr: 1.000e-04 eta: 1:20:16 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 10.6379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/06/29 05:35:49 - mmengine - INFO - Epoch(train) [96][700/3757] lr: 1.000e-04 eta: 1:20:11 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 9.9510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9312 loss: 0.9312 2022/06/29 05:35:54 - mmengine - INFO - Epoch(train) [96][720/3757] lr: 1.000e-04 eta: 1:20:05 time: 0.233 data_time: 0.014 memory: 5150 grad_norm: 9.0247 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0555 loss: 1.0555 2022/06/29 05:35:59 - mmengine - INFO - Epoch(train) [96][740/3757] lr: 1.000e-04 eta: 1:20:00 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8245 loss: 0.8245 2022/06/29 05:36:05 - mmengine - INFO - Epoch(train) [96][760/3757] lr: 1.000e-04 eta: 1:19:55 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 11.2496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4684 loss: 1.4684 2022/06/29 05:36:11 - mmengine - INFO - Epoch(train) [96][780/3757] lr: 1.000e-04 eta: 1:19:49 time: 0.214 data_time: 0.033 memory: 5150 grad_norm: 9.0732 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1237 loss: 1.1237 2022/06/29 05:36:16 - mmengine - INFO - Epoch(train) [96][800/3757] lr: 1.000e-04 eta: 1:19:44 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 7.9334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0699 loss: 1.0699 2022/06/29 05:36:21 - mmengine - INFO - Epoch(train) [96][820/3757] lr: 1.000e-04 eta: 1:19:39 time: 0.194 data_time: 0.009 memory: 5150 grad_norm: 7.8471 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7192 loss: 0.7192 2022/06/29 05:36:27 - mmengine - INFO - Epoch(train) [96][840/3757] lr: 1.000e-04 eta: 1:19:33 time: 0.832 data_time: 0.661 memory: 5150 grad_norm: 10.7173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0181 loss: 1.0181 2022/06/29 05:36:32 - mmengine - INFO - Epoch(train) [96][860/3757] lr: 1.000e-04 eta: 1:19:28 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.6600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2109 loss: 1.2109 2022/06/29 05:36:37 - mmengine - INFO - Epoch(train) [96][880/3757] lr: 1.000e-04 eta: 1:19:23 time: 0.286 data_time: 0.008 memory: 5150 grad_norm: 8.5414 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9585 loss: 0.9585 2022/06/29 05:36:43 - mmengine - INFO - Epoch(train) [96][900/3757] lr: 1.000e-04 eta: 1:19:18 time: 0.715 data_time: 0.544 memory: 5150 grad_norm: 10.0257 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0670 loss: 1.0670 2022/06/29 05:36:48 - mmengine - INFO - Epoch(train) [96][920/3757] lr: 1.000e-04 eta: 1:19:12 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.3876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/06/29 05:36:54 - mmengine - INFO - Epoch(train) [96][940/3757] lr: 1.000e-04 eta: 1:19:07 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 8.4350 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/06/29 05:36:59 - mmengine - INFO - Epoch(train) [96][960/3757] lr: 1.000e-04 eta: 1:19:02 time: 0.216 data_time: 0.035 memory: 5150 grad_norm: 8.7815 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4171 loss: 1.4171 2022/06/29 05:37:04 - mmengine - INFO - Epoch(train) [96][980/3757] lr: 1.000e-04 eta: 1:18:56 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 10.7172 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.0914 loss: 1.0914 2022/06/29 05:37:10 - mmengine - INFO - Epoch(train) [96][1000/3757] lr: 1.000e-04 eta: 1:18:51 time: 0.226 data_time: 0.007 memory: 5150 grad_norm: 8.4463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0210 loss: 1.0210 2022/06/29 05:37:15 - mmengine - INFO - Epoch(train) [96][1020/3757] lr: 1.000e-04 eta: 1:18:46 time: 0.228 data_time: 0.042 memory: 5150 grad_norm: 9.7902 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9363 loss: 0.9363 2022/06/29 05:37:20 - mmengine - INFO - Epoch(train) [96][1040/3757] lr: 1.000e-04 eta: 1:18:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 7.6751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2655 loss: 1.2655 2022/06/29 05:37:25 - mmengine - INFO - Epoch(train) [96][1060/3757] lr: 1.000e-04 eta: 1:18:35 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 11.4520 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0911 loss: 1.0911 2022/06/29 05:37:32 - mmengine - INFO - Epoch(train) [96][1080/3757] lr: 1.000e-04 eta: 1:18:30 time: 0.219 data_time: 0.047 memory: 5150 grad_norm: 9.9169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7281 loss: 0.7281 2022/06/29 05:37:33 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:37:37 - mmengine - INFO - Epoch(train) [96][1100/3757] lr: 1.000e-04 eta: 1:18:24 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.1124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1810 loss: 1.1810 2022/06/29 05:37:41 - mmengine - INFO - Epoch(train) [96][1120/3757] lr: 1.000e-04 eta: 1:18:19 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.0940 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2302 loss: 1.2302 2022/06/29 05:37:47 - mmengine - INFO - Epoch(train) [96][1140/3757] lr: 1.000e-04 eta: 1:18:14 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 9.0755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1354 loss: 1.1354 2022/06/29 05:37:52 - mmengine - INFO - Epoch(train) [96][1160/3757] lr: 1.000e-04 eta: 1:18:08 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 8.9033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/06/29 05:37:58 - mmengine - INFO - Epoch(train) [96][1180/3757] lr: 1.000e-04 eta: 1:18:03 time: 0.416 data_time: 0.013 memory: 5150 grad_norm: 8.2708 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1644 loss: 1.1644 2022/06/29 05:38:03 - mmengine - INFO - Epoch(train) [96][1200/3757] lr: 1.000e-04 eta: 1:17:58 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 10.7616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3035 loss: 1.3035 2022/06/29 05:38:08 - mmengine - INFO - Epoch(train) [96][1220/3757] lr: 1.000e-04 eta: 1:17:52 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.1194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/06/29 05:38:13 - mmengine - INFO - Epoch(train) [96][1240/3757] lr: 1.000e-04 eta: 1:17:47 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.2265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1563 loss: 1.1563 2022/06/29 05:38:19 - mmengine - INFO - Epoch(train) [96][1260/3757] lr: 1.000e-04 eta: 1:17:42 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 9.3313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6911 loss: 0.6911 2022/06/29 05:38:24 - mmengine - INFO - Epoch(train) [96][1280/3757] lr: 1.000e-04 eta: 1:17:36 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.3444 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9606 loss: 0.9606 2022/06/29 05:38:29 - mmengine - INFO - Epoch(train) [96][1300/3757] lr: 1.000e-04 eta: 1:17:31 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.8672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/06/29 05:38:35 - mmengine - INFO - Epoch(train) [96][1320/3757] lr: 1.000e-04 eta: 1:17:26 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.6618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0289 loss: 1.0289 2022/06/29 05:38:40 - mmengine - INFO - Epoch(train) [96][1340/3757] lr: 1.000e-04 eta: 1:17:20 time: 0.226 data_time: 0.011 memory: 5150 grad_norm: 10.7234 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2501 loss: 1.2501 2022/06/29 05:38:45 - mmengine - INFO - Epoch(train) [96][1360/3757] lr: 1.000e-04 eta: 1:17:15 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.7287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1894 loss: 1.1894 2022/06/29 05:38:51 - mmengine - INFO - Epoch(train) [96][1380/3757] lr: 1.000e-04 eta: 1:17:10 time: 0.194 data_time: 0.008 memory: 5150 grad_norm: 10.6359 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2065 loss: 1.2065 2022/06/29 05:38:56 - mmengine - INFO - Epoch(train) [96][1400/3757] lr: 1.000e-04 eta: 1:17:04 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.6062 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1380 loss: 1.1380 2022/06/29 05:39:02 - mmengine - INFO - Epoch(train) [96][1420/3757] lr: 1.000e-04 eta: 1:16:59 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 10.4744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/06/29 05:39:07 - mmengine - INFO - Epoch(train) [96][1440/3757] lr: 1.000e-04 eta: 1:16:54 time: 0.218 data_time: 0.015 memory: 5150 grad_norm: 9.0016 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0037 loss: 1.0037 2022/06/29 05:39:12 - mmengine - INFO - Epoch(train) [96][1460/3757] lr: 1.000e-04 eta: 1:16:48 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.4659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/06/29 05:39:17 - mmengine - INFO - Epoch(train) [96][1480/3757] lr: 1.000e-04 eta: 1:16:43 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.6003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/06/29 05:39:23 - mmengine - INFO - Epoch(train) [96][1500/3757] lr: 1.000e-04 eta: 1:16:38 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 8.0613 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/06/29 05:39:28 - mmengine - INFO - Epoch(train) [96][1520/3757] lr: 1.000e-04 eta: 1:16:33 time: 0.275 data_time: 0.012 memory: 5150 grad_norm: 8.3715 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1599 loss: 1.1599 2022/06/29 05:39:34 - mmengine - INFO - Epoch(train) [96][1540/3757] lr: 1.000e-04 eta: 1:16:27 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 11.3680 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3064 loss: 1.3064 2022/06/29 05:39:39 - mmengine - INFO - Epoch(train) [96][1560/3757] lr: 1.000e-04 eta: 1:16:22 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 6.2714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1624 loss: 1.1624 2022/06/29 05:39:44 - mmengine - INFO - Epoch(train) [96][1580/3757] lr: 1.000e-04 eta: 1:16:17 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 10.2956 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3076 loss: 1.3076 2022/06/29 05:39:50 - mmengine - INFO - Epoch(train) [96][1600/3757] lr: 1.000e-04 eta: 1:16:11 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 12.5662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1356 loss: 1.1356 2022/06/29 05:39:55 - mmengine - INFO - Epoch(train) [96][1620/3757] lr: 1.000e-04 eta: 1:16:06 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.3776 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4762 loss: 1.4762 2022/06/29 05:40:00 - mmengine - INFO - Epoch(train) [96][1640/3757] lr: 1.000e-04 eta: 1:16:01 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 10.3605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0699 loss: 1.0699 2022/06/29 05:40:06 - mmengine - INFO - Epoch(train) [96][1660/3757] lr: 1.000e-04 eta: 1:15:55 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0198 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2326 loss: 1.2326 2022/06/29 05:40:11 - mmengine - INFO - Epoch(train) [96][1680/3757] lr: 1.000e-04 eta: 1:15:50 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 10.4638 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/06/29 05:40:16 - mmengine - INFO - Epoch(train) [96][1700/3757] lr: 1.000e-04 eta: 1:15:45 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.9938 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9892 loss: 0.9892 2022/06/29 05:40:21 - mmengine - INFO - Epoch(train) [96][1720/3757] lr: 1.000e-04 eta: 1:15:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.7857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9891 loss: 0.9891 2022/06/29 05:40:27 - mmengine - INFO - Epoch(train) [96][1740/3757] lr: 1.000e-04 eta: 1:15:34 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.8259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/06/29 05:40:32 - mmengine - INFO - Epoch(train) [96][1760/3757] lr: 1.000e-04 eta: 1:15:29 time: 0.395 data_time: 0.008 memory: 5150 grad_norm: 8.1152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6335 loss: 0.6335 2022/06/29 05:40:37 - mmengine - INFO - Epoch(train) [96][1780/3757] lr: 1.000e-04 eta: 1:15:23 time: 0.193 data_time: 0.011 memory: 5150 grad_norm: 7.9238 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2667 loss: 1.2667 2022/06/29 05:40:42 - mmengine - INFO - Epoch(train) [96][1800/3757] lr: 1.000e-04 eta: 1:15:18 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 10.5247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/06/29 05:40:48 - mmengine - INFO - Epoch(train) [96][1820/3757] lr: 1.000e-04 eta: 1:15:13 time: 0.456 data_time: 0.007 memory: 5150 grad_norm: 10.2897 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0333 loss: 1.0333 2022/06/29 05:40:53 - mmengine - INFO - Epoch(train) [96][1840/3757] lr: 1.000e-04 eta: 1:15:07 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 9.0155 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/06/29 05:40:58 - mmengine - INFO - Epoch(train) [96][1860/3757] lr: 1.000e-04 eta: 1:15:02 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 11.9279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2031 loss: 1.2031 2022/06/29 05:41:04 - mmengine - INFO - Epoch(train) [96][1880/3757] lr: 1.000e-04 eta: 1:14:57 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.2581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0397 loss: 1.0397 2022/06/29 05:41:10 - mmengine - INFO - Epoch(train) [96][1900/3757] lr: 1.000e-04 eta: 1:14:51 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 9.3645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2864 loss: 1.2864 2022/06/29 05:41:15 - mmengine - INFO - Epoch(train) [96][1920/3757] lr: 1.000e-04 eta: 1:14:46 time: 0.241 data_time: 0.011 memory: 5150 grad_norm: 8.6984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/06/29 05:41:20 - mmengine - INFO - Epoch(train) [96][1940/3757] lr: 1.000e-04 eta: 1:14:41 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 8.6621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2601 loss: 1.2601 2022/06/29 05:41:25 - mmengine - INFO - Epoch(train) [96][1960/3757] lr: 1.000e-04 eta: 1:14:35 time: 0.223 data_time: 0.011 memory: 5150 grad_norm: 8.8754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0195 loss: 1.0195 2022/06/29 05:41:31 - mmengine - INFO - Epoch(train) [96][1980/3757] lr: 1.000e-04 eta: 1:14:30 time: 0.226 data_time: 0.008 memory: 5150 grad_norm: 9.8801 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/06/29 05:41:36 - mmengine - INFO - Epoch(train) [96][2000/3757] lr: 1.000e-04 eta: 1:14:25 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 7.9662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1701 loss: 1.1701 2022/06/29 05:41:42 - mmengine - INFO - Epoch(train) [96][2020/3757] lr: 1.000e-04 eta: 1:14:20 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.4201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0592 loss: 1.0592 2022/06/29 05:41:47 - mmengine - INFO - Epoch(train) [96][2040/3757] lr: 1.000e-04 eta: 1:14:14 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 8.9877 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9454 loss: 0.9454 2022/06/29 05:41:53 - mmengine - INFO - Epoch(train) [96][2060/3757] lr: 1.000e-04 eta: 1:14:09 time: 0.731 data_time: 0.007 memory: 5150 grad_norm: 10.2291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9572 loss: 0.9572 2022/06/29 05:41:58 - mmengine - INFO - Epoch(train) [96][2080/3757] lr: 1.000e-04 eta: 1:14:04 time: 0.225 data_time: 0.008 memory: 5150 grad_norm: 8.5925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9860 loss: 0.9860 2022/06/29 05:41:59 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:42:03 - mmengine - INFO - Epoch(train) [96][2100/3757] lr: 1.000e-04 eta: 1:13:58 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 10.0152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2004 loss: 1.2004 2022/06/29 05:42:08 - mmengine - INFO - Epoch(train) [96][2120/3757] lr: 1.000e-04 eta: 1:13:53 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 8.3125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/06/29 05:42:13 - mmengine - INFO - Epoch(train) [96][2140/3757] lr: 1.000e-04 eta: 1:13:48 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 9.6973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0630 loss: 1.0630 2022/06/29 05:42:19 - mmengine - INFO - Epoch(train) [96][2160/3757] lr: 1.000e-04 eta: 1:13:42 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 11.7345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2038 loss: 1.2038 2022/06/29 05:42:24 - mmengine - INFO - Epoch(train) [96][2180/3757] lr: 1.000e-04 eta: 1:13:37 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.7935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3367 loss: 1.3367 2022/06/29 05:42:30 - mmengine - INFO - Epoch(train) [96][2200/3757] lr: 1.000e-04 eta: 1:13:32 time: 0.211 data_time: 0.020 memory: 5150 grad_norm: 9.5283 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9902 loss: 0.9902 2022/06/29 05:42:35 - mmengine - INFO - Epoch(train) [96][2220/3757] lr: 1.000e-04 eta: 1:13:26 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 10.6561 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8588 loss: 0.8588 2022/06/29 05:42:40 - mmengine - INFO - Epoch(train) [96][2240/3757] lr: 1.000e-04 eta: 1:13:21 time: 0.277 data_time: 0.007 memory: 5150 grad_norm: 9.1756 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9021 loss: 0.9021 2022/06/29 05:42:45 - mmengine - INFO - Epoch(train) [96][2260/3757] lr: 1.000e-04 eta: 1:13:16 time: 0.272 data_time: 0.008 memory: 5150 grad_norm: 8.4889 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/06/29 05:42:51 - mmengine - INFO - Epoch(train) [96][2280/3757] lr: 1.000e-04 eta: 1:13:10 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 11.1543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0410 loss: 1.0410 2022/06/29 05:42:56 - mmengine - INFO - Epoch(train) [96][2300/3757] lr: 1.000e-04 eta: 1:13:05 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.4677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/06/29 05:43:01 - mmengine - INFO - Epoch(train) [96][2320/3757] lr: 1.000e-04 eta: 1:13:00 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.7581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9717 loss: 0.9717 2022/06/29 05:43:07 - mmengine - INFO - Epoch(train) [96][2340/3757] lr: 1.000e-04 eta: 1:12:54 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 10.7652 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4241 loss: 1.4241 2022/06/29 05:43:12 - mmengine - INFO - Epoch(train) [96][2360/3757] lr: 1.000e-04 eta: 1:12:49 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 9.0933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0634 loss: 1.0634 2022/06/29 05:43:18 - mmengine - INFO - Epoch(train) [96][2380/3757] lr: 1.000e-04 eta: 1:12:44 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 8.9788 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1519 loss: 1.1519 2022/06/29 05:43:23 - mmengine - INFO - Epoch(train) [96][2400/3757] lr: 1.000e-04 eta: 1:12:38 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.2971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2236 loss: 1.2236 2022/06/29 05:43:28 - mmengine - INFO - Epoch(train) [96][2420/3757] lr: 1.000e-04 eta: 1:12:33 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 8.7815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9869 loss: 0.9869 2022/06/29 05:43:33 - mmengine - INFO - Epoch(train) [96][2440/3757] lr: 1.000e-04 eta: 1:12:28 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 9.9023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9423 loss: 0.9423 2022/06/29 05:43:39 - mmengine - INFO - Epoch(train) [96][2460/3757] lr: 1.000e-04 eta: 1:12:22 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.5489 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2844 loss: 1.2844 2022/06/29 05:43:44 - mmengine - INFO - Epoch(train) [96][2480/3757] lr: 1.000e-04 eta: 1:12:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.5945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2318 loss: 1.2318 2022/06/29 05:43:50 - mmengine - INFO - Epoch(train) [96][2500/3757] lr: 1.000e-04 eta: 1:12:12 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.2600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2636 loss: 1.2636 2022/06/29 05:43:55 - mmengine - INFO - Epoch(train) [96][2520/3757] lr: 1.000e-04 eta: 1:12:06 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 7.6640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2432 loss: 1.2432 2022/06/29 05:43:59 - mmengine - INFO - Epoch(train) [96][2540/3757] lr: 1.000e-04 eta: 1:12:01 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.2167 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/06/29 05:44:05 - mmengine - INFO - Epoch(train) [96][2560/3757] lr: 1.000e-04 eta: 1:11:56 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.6205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1950 loss: 1.1950 2022/06/29 05:44:10 - mmengine - INFO - Epoch(train) [96][2580/3757] lr: 1.000e-04 eta: 1:11:51 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.1385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0588 loss: 1.0588 2022/06/29 05:44:15 - mmengine - INFO - Epoch(train) [96][2600/3757] lr: 1.000e-04 eta: 1:11:45 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.0655 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1187 loss: 1.1187 2022/06/29 05:44:21 - mmengine - INFO - Epoch(train) [96][2620/3757] lr: 1.000e-04 eta: 1:11:40 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.7363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1966 loss: 1.1966 2022/06/29 05:44:26 - mmengine - INFO - Epoch(train) [96][2640/3757] lr: 1.000e-04 eta: 1:11:35 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.0522 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1709 loss: 1.1709 2022/06/29 05:44:31 - mmengine - INFO - Epoch(train) [96][2660/3757] lr: 1.000e-04 eta: 1:11:29 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.2724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/06/29 05:44:36 - mmengine - INFO - Epoch(train) [96][2680/3757] lr: 1.000e-04 eta: 1:11:24 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2088 loss: 1.2088 2022/06/29 05:44:42 - mmengine - INFO - Epoch(train) [96][2700/3757] lr: 1.000e-04 eta: 1:11:19 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.7658 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2479 loss: 1.2479 2022/06/29 05:44:47 - mmengine - INFO - Epoch(train) [96][2720/3757] lr: 1.000e-04 eta: 1:11:13 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7890 loss: 0.7890 2022/06/29 05:44:53 - mmengine - INFO - Epoch(train) [96][2740/3757] lr: 1.000e-04 eta: 1:11:08 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.8655 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/06/29 05:44:58 - mmengine - INFO - Epoch(train) [96][2760/3757] lr: 1.000e-04 eta: 1:11:03 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.6499 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/06/29 05:45:03 - mmengine - INFO - Epoch(train) [96][2780/3757] lr: 1.000e-04 eta: 1:10:57 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.8161 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3718 loss: 1.3718 2022/06/29 05:45:08 - mmengine - INFO - Epoch(train) [96][2800/3757] lr: 1.000e-04 eta: 1:10:52 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.3197 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/06/29 05:45:14 - mmengine - INFO - Epoch(train) [96][2820/3757] lr: 1.000e-04 eta: 1:10:47 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.7545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3116 loss: 1.3116 2022/06/29 05:45:19 - mmengine - INFO - Epoch(train) [96][2840/3757] lr: 1.000e-04 eta: 1:10:41 time: 0.731 data_time: 0.008 memory: 5150 grad_norm: 8.6250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/06/29 05:45:25 - mmengine - INFO - Epoch(train) [96][2860/3757] lr: 1.000e-04 eta: 1:10:36 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.8713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2693 loss: 1.2693 2022/06/29 05:45:31 - mmengine - INFO - Epoch(train) [96][2880/3757] lr: 1.000e-04 eta: 1:10:31 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 10.6271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2472 loss: 1.2472 2022/06/29 05:45:36 - mmengine - INFO - Epoch(train) [96][2900/3757] lr: 1.000e-04 eta: 1:10:25 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7271 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2365 loss: 1.2365 2022/06/29 05:45:41 - mmengine - INFO - Epoch(train) [96][2920/3757] lr: 1.000e-04 eta: 1:10:20 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.8068 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3880 loss: 1.3880 2022/06/29 05:45:47 - mmengine - INFO - Epoch(train) [96][2940/3757] lr: 1.000e-04 eta: 1:10:15 time: 0.193 data_time: 0.008 memory: 5150 grad_norm: 9.6412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/06/29 05:45:52 - mmengine - INFO - Epoch(train) [96][2960/3757] lr: 1.000e-04 eta: 1:10:09 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0114 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1384 loss: 1.1384 2022/06/29 05:45:58 - mmengine - INFO - Epoch(train) [96][2980/3757] lr: 1.000e-04 eta: 1:10:04 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 10.2283 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/06/29 05:46:03 - mmengine - INFO - Epoch(train) [96][3000/3757] lr: 1.000e-04 eta: 1:09:59 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.5165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2555 loss: 1.2555 2022/06/29 05:46:08 - mmengine - INFO - Epoch(train) [96][3020/3757] lr: 1.000e-04 eta: 1:09:53 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.7078 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/06/29 05:46:13 - mmengine - INFO - Epoch(train) [96][3040/3757] lr: 1.000e-04 eta: 1:09:48 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.5091 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9838 loss: 0.9838 2022/06/29 05:46:19 - mmengine - INFO - Epoch(train) [96][3060/3757] lr: 1.000e-04 eta: 1:09:43 time: 0.217 data_time: 0.009 memory: 5150 grad_norm: 10.2939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0277 loss: 1.0277 2022/06/29 05:46:23 - mmengine - INFO - Epoch(train) [96][3080/3757] lr: 1.000e-04 eta: 1:09:37 time: 0.334 data_time: 0.008 memory: 5150 grad_norm: 6.9802 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9959 loss: 0.9959 2022/06/29 05:46:25 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:46:29 - mmengine - INFO - Epoch(train) [96][3100/3757] lr: 1.000e-04 eta: 1:09:32 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 9.9434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0681 loss: 1.0681 2022/06/29 05:46:34 - mmengine - INFO - Epoch(train) [96][3120/3757] lr: 1.000e-04 eta: 1:09:27 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.3867 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3473 loss: 1.3473 2022/06/29 05:46:39 - mmengine - INFO - Epoch(train) [96][3140/3757] lr: 1.000e-04 eta: 1:09:21 time: 0.473 data_time: 0.008 memory: 5150 grad_norm: 10.1897 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0304 loss: 1.0304 2022/06/29 05:46:45 - mmengine - INFO - Epoch(train) [96][3160/3757] lr: 1.000e-04 eta: 1:09:16 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.8623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9243 loss: 0.9243 2022/06/29 05:46:50 - mmengine - INFO - Epoch(train) [96][3180/3757] lr: 1.000e-04 eta: 1:09:11 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.6390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2839 loss: 1.2839 2022/06/29 05:46:56 - mmengine - INFO - Epoch(train) [96][3200/3757] lr: 1.000e-04 eta: 1:09:06 time: 0.948 data_time: 0.008 memory: 5150 grad_norm: 8.8515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9958 loss: 0.9958 2022/06/29 05:47:01 - mmengine - INFO - Epoch(train) [96][3220/3757] lr: 1.000e-04 eta: 1:09:00 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 7.7774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/06/29 05:47:06 - mmengine - INFO - Epoch(train) [96][3240/3757] lr: 1.000e-04 eta: 1:08:55 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.5029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9962 loss: 0.9962 2022/06/29 05:47:12 - mmengine - INFO - Epoch(train) [96][3260/3757] lr: 1.000e-04 eta: 1:08:50 time: 0.727 data_time: 0.008 memory: 5150 grad_norm: 10.7444 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/06/29 05:47:17 - mmengine - INFO - Epoch(train) [96][3280/3757] lr: 1.000e-04 eta: 1:08:44 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 8.1555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/06/29 05:47:23 - mmengine - INFO - Epoch(train) [96][3300/3757] lr: 1.000e-04 eta: 1:08:39 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 8.5836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/06/29 05:47:28 - mmengine - INFO - Epoch(train) [96][3320/3757] lr: 1.000e-04 eta: 1:08:34 time: 0.820 data_time: 0.008 memory: 5150 grad_norm: 8.3218 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2341 loss: 1.2341 2022/06/29 05:47:33 - mmengine - INFO - Epoch(train) [96][3340/3757] lr: 1.000e-04 eta: 1:08:28 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 10.7054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1978 loss: 1.1978 2022/06/29 05:47:39 - mmengine - INFO - Epoch(train) [96][3360/3757] lr: 1.000e-04 eta: 1:08:23 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.9739 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9604 loss: 0.9604 2022/06/29 05:47:44 - mmengine - INFO - Epoch(train) [96][3380/3757] lr: 1.000e-04 eta: 1:08:18 time: 0.757 data_time: 0.011 memory: 5150 grad_norm: 11.5932 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/06/29 05:47:49 - mmengine - INFO - Epoch(train) [96][3400/3757] lr: 1.000e-04 eta: 1:08:12 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.9511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2025 loss: 1.2025 2022/06/29 05:47:55 - mmengine - INFO - Epoch(train) [96][3420/3757] lr: 1.000e-04 eta: 1:08:07 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.3999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2465 loss: 1.2465 2022/06/29 05:48:00 - mmengine - INFO - Epoch(train) [96][3440/3757] lr: 1.000e-04 eta: 1:08:02 time: 0.671 data_time: 0.007 memory: 5150 grad_norm: 10.0192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/06/29 05:48:05 - mmengine - INFO - Epoch(train) [96][3460/3757] lr: 1.000e-04 eta: 1:07:56 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.7637 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2991 loss: 1.2991 2022/06/29 05:48:10 - mmengine - INFO - Epoch(train) [96][3480/3757] lr: 1.000e-04 eta: 1:07:51 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 7.7246 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0366 loss: 1.0366 2022/06/29 05:48:16 - mmengine - INFO - Epoch(train) [96][3500/3757] lr: 1.000e-04 eta: 1:07:46 time: 0.654 data_time: 0.013 memory: 5150 grad_norm: 10.5297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2626 loss: 1.2626 2022/06/29 05:48:21 - mmengine - INFO - Epoch(train) [96][3520/3757] lr: 1.000e-04 eta: 1:07:40 time: 0.200 data_time: 0.009 memory: 5150 grad_norm: 9.9492 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5512 loss: 1.5512 2022/06/29 05:48:26 - mmengine - INFO - Epoch(train) [96][3540/3757] lr: 1.000e-04 eta: 1:07:35 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 11.1837 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1445 loss: 1.1445 2022/06/29 05:48:32 - mmengine - INFO - Epoch(train) [96][3560/3757] lr: 1.000e-04 eta: 1:07:30 time: 0.245 data_time: 0.011 memory: 5150 grad_norm: 8.6316 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8258 loss: 0.8258 2022/06/29 05:48:36 - mmengine - INFO - Epoch(train) [96][3580/3757] lr: 1.000e-04 eta: 1:07:24 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.0007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0328 loss: 1.0328 2022/06/29 05:48:42 - mmengine - INFO - Epoch(train) [96][3600/3757] lr: 1.000e-04 eta: 1:07:19 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.7104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0683 loss: 1.0683 2022/06/29 05:48:48 - mmengine - INFO - Epoch(train) [96][3620/3757] lr: 1.000e-04 eta: 1:07:14 time: 0.221 data_time: 0.015 memory: 5150 grad_norm: 10.6623 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0819 loss: 1.0819 2022/06/29 05:48:52 - mmengine - INFO - Epoch(train) [96][3640/3757] lr: 1.000e-04 eta: 1:07:08 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.7441 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2054 loss: 1.2054 2022/06/29 05:48:58 - mmengine - INFO - Epoch(train) [96][3660/3757] lr: 1.000e-04 eta: 1:07:03 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 10.7733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1058 loss: 1.1058 2022/06/29 05:49:04 - mmengine - INFO - Epoch(train) [96][3680/3757] lr: 1.000e-04 eta: 1:06:58 time: 0.216 data_time: 0.013 memory: 5150 grad_norm: 8.3070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9474 loss: 0.9474 2022/06/29 05:49:09 - mmengine - INFO - Epoch(train) [96][3700/3757] lr: 1.000e-04 eta: 1:06:53 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.0367 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1543 loss: 1.1543 2022/06/29 05:49:14 - mmengine - INFO - Epoch(train) [96][3720/3757] lr: 1.000e-04 eta: 1:06:47 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.7299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0966 loss: 1.0966 2022/06/29 05:49:20 - mmengine - INFO - Epoch(train) [96][3740/3757] lr: 1.000e-04 eta: 1:06:42 time: 0.220 data_time: 0.011 memory: 5150 grad_norm: 8.0290 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1023 loss: 1.1023 2022/06/29 05:49:23 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:49:56 - mmengine - INFO - Epoch(val) [96][20/310] eta: 0:05:44 time: 1.034 data_time: 0.369 memory: 9746 2022/06/29 05:50:18 - mmengine - INFO - Epoch(val) [96][40/310] eta: 0:04:51 time: 1.050 data_time: 0.390 memory: 9746 2022/06/29 05:50:42 - mmengine - INFO - Epoch(val) [96][60/310] eta: 0:04:14 time: 1.043 data_time: 0.390 memory: 9746 2022/06/29 05:51:05 - mmengine - INFO - Epoch(val) [96][80/310] eta: 0:04:41 time: 1.030 data_time: 0.393 memory: 9746 2022/06/29 05:51:28 - mmengine - INFO - Epoch(val) [96][100/310] eta: 0:04:04 time: 2.194 data_time: 1.512 memory: 9746 2022/06/29 05:51:49 - mmengine - INFO - Epoch(val) [96][120/310] eta: 0:03:21 time: 0.962 data_time: 0.314 memory: 9746 2022/06/29 05:52:14 - mmengine - INFO - Epoch(val) [96][140/310] eta: 0:03:13 time: 1.111 data_time: 0.443 memory: 9746 2022/06/29 05:52:38 - mmengine - INFO - Epoch(val) [96][160/310] eta: 0:03:14 time: 3.159 data_time: 2.483 memory: 9746 2022/06/29 05:53:01 - mmengine - INFO - Epoch(val) [96][180/310] eta: 0:02:41 time: 1.056 data_time: 0.404 memory: 9746 2022/06/29 05:53:24 - mmengine - INFO - Epoch(val) [96][200/310] eta: 0:02:06 time: 1.116 data_time: 0.467 memory: 9746 2022/06/29 05:53:45 - mmengine - INFO - Epoch(val) [96][220/310] eta: 0:01:40 time: 1.171 data_time: 0.532 memory: 9746 2022/06/29 05:54:07 - mmengine - INFO - Epoch(val) [96][240/310] eta: 0:01:15 time: 1.068 data_time: 0.426 memory: 9746 2022/06/29 05:54:30 - mmengine - INFO - Epoch(val) [96][260/310] eta: 0:00:58 time: 0.944 data_time: 0.291 memory: 9746 2022/06/29 05:54:53 - mmengine - INFO - Epoch(val) [96][280/310] eta: 0:00:33 time: 1.570 data_time: 0.934 memory: 9746 2022/06/29 05:55:13 - mmengine - INFO - Epoch(val) [96][300/310] eta: 0:00:08 time: 0.680 data_time: 0.096 memory: 9746 2022/06/29 05:55:26 - mmengine - INFO - Epoch(val) [96][310/310] acc/top1: 0.7242 acc/top5: 0.9056 acc/mean1: 0.7241 2022/06/29 05:55:34 - mmengine - INFO - Epoch(train) [97][20/3757] lr: 1.000e-04 eta: 1:06:32 time: 0.204 data_time: 0.008 memory: 9746 grad_norm: 9.1831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/06/29 05:55:40 - mmengine - INFO - Epoch(train) [97][40/3757] lr: 1.000e-04 eta: 1:06:27 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9868 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/06/29 05:55:45 - mmengine - INFO - Epoch(train) [97][60/3757] lr: 1.000e-04 eta: 1:06:21 time: 0.219 data_time: 0.007 memory: 5150 grad_norm: 9.3572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3206 loss: 1.3206 2022/06/29 05:55:51 - mmengine - INFO - Epoch(train) [97][80/3757] lr: 1.000e-04 eta: 1:06:16 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 9.9244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1509 loss: 1.1509 2022/06/29 05:55:56 - mmengine - INFO - Epoch(train) [97][100/3757] lr: 1.000e-04 eta: 1:06:11 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.5583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/06/29 05:56:01 - mmengine - INFO - Epoch(train) [97][120/3757] lr: 1.000e-04 eta: 1:06:05 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.4146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2261 loss: 1.2261 2022/06/29 05:56:07 - mmengine - INFO - Epoch(train) [97][140/3757] lr: 1.000e-04 eta: 1:06:00 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.6692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9644 loss: 0.9644 2022/06/29 05:56:12 - mmengine - INFO - Epoch(train) [97][160/3757] lr: 1.000e-04 eta: 1:05:55 time: 0.204 data_time: 0.027 memory: 5150 grad_norm: 7.5413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0372 loss: 1.0372 2022/06/29 05:56:17 - mmengine - INFO - Epoch(train) [97][180/3757] lr: 1.000e-04 eta: 1:05:50 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.6666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3925 loss: 1.3925 2022/06/29 05:56:23 - mmengine - INFO - Epoch(train) [97][200/3757] lr: 1.000e-04 eta: 1:05:44 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 11.4804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6650 loss: 1.6650 2022/06/29 05:56:28 - mmengine - INFO - Epoch(train) [97][220/3757] lr: 1.000e-04 eta: 1:05:39 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 9.2713 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1842 loss: 1.1842 2022/06/29 05:56:33 - mmengine - INFO - Epoch(train) [97][240/3757] lr: 1.000e-04 eta: 1:05:34 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.5029 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2193 loss: 1.2193 2022/06/29 05:56:39 - mmengine - INFO - Epoch(train) [97][260/3757] lr: 1.000e-04 eta: 1:05:28 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.9444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1281 loss: 1.1281 2022/06/29 05:56:45 - mmengine - INFO - Epoch(train) [97][280/3757] lr: 1.000e-04 eta: 1:05:23 time: 0.196 data_time: 0.007 memory: 5150 grad_norm: 11.4230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/06/29 05:56:50 - mmengine - INFO - Epoch(train) [97][300/3757] lr: 1.000e-04 eta: 1:05:18 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.1200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/06/29 05:56:55 - mmengine - INFO - Epoch(train) [97][320/3757] lr: 1.000e-04 eta: 1:05:12 time: 0.217 data_time: 0.012 memory: 5150 grad_norm: 8.3697 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1575 loss: 1.1575 2022/06/29 05:56:58 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 05:57:01 - mmengine - INFO - Epoch(train) [97][340/3757] lr: 1.000e-04 eta: 1:05:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.6564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0725 loss: 1.0725 2022/06/29 05:57:06 - mmengine - INFO - Epoch(train) [97][360/3757] lr: 1.000e-04 eta: 1:05:02 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.4194 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6278 loss: 1.6278 2022/06/29 05:57:12 - mmengine - INFO - Epoch(train) [97][380/3757] lr: 1.000e-04 eta: 1:04:56 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 9.6640 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2194 loss: 1.2194 2022/06/29 05:57:16 - mmengine - INFO - Epoch(train) [97][400/3757] lr: 1.000e-04 eta: 1:04:51 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.8094 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.2388 loss: 1.2388 2022/06/29 05:57:21 - mmengine - INFO - Epoch(train) [97][420/3757] lr: 1.000e-04 eta: 1:04:46 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.9802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0534 loss: 1.0534 2022/06/29 05:57:26 - mmengine - INFO - Epoch(train) [97][440/3757] lr: 1.000e-04 eta: 1:04:40 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 9.3919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/06/29 05:57:32 - mmengine - INFO - Epoch(train) [97][460/3757] lr: 1.000e-04 eta: 1:04:35 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.1993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0274 loss: 1.0274 2022/06/29 05:57:37 - mmengine - INFO - Epoch(train) [97][480/3757] lr: 1.000e-04 eta: 1:04:30 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.4628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3785 loss: 1.3785 2022/06/29 05:57:43 - mmengine - INFO - Epoch(train) [97][500/3757] lr: 1.000e-04 eta: 1:04:24 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 11.9216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0908 loss: 1.0908 2022/06/29 05:57:48 - mmengine - INFO - Epoch(train) [97][520/3757] lr: 1.000e-04 eta: 1:04:19 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 7.6768 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/06/29 05:57:53 - mmengine - INFO - Epoch(train) [97][540/3757] lr: 1.000e-04 eta: 1:04:14 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.2076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8671 loss: 0.8671 2022/06/29 05:57:58 - mmengine - INFO - Epoch(train) [97][560/3757] lr: 1.000e-04 eta: 1:04:08 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.8330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/06/29 05:58:04 - mmengine - INFO - Epoch(train) [97][580/3757] lr: 1.000e-04 eta: 1:04:03 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 11.0197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/06/29 05:58:09 - mmengine - INFO - Epoch(train) [97][600/3757] lr: 1.000e-04 eta: 1:03:58 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.0907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5415 loss: 1.5415 2022/06/29 05:58:15 - mmengine - INFO - Epoch(train) [97][620/3757] lr: 1.000e-04 eta: 1:03:52 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/06/29 05:58:20 - mmengine - INFO - Epoch(train) [97][640/3757] lr: 1.000e-04 eta: 1:03:47 time: 0.233 data_time: 0.021 memory: 5150 grad_norm: 11.0872 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9840 loss: 0.9840 2022/06/29 05:58:25 - mmengine - INFO - Epoch(train) [97][660/3757] lr: 1.000e-04 eta: 1:03:42 time: 0.204 data_time: 0.016 memory: 5150 grad_norm: 9.0621 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2945 loss: 1.2945 2022/06/29 05:58:31 - mmengine - INFO - Epoch(train) [97][680/3757] lr: 1.000e-04 eta: 1:03:36 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.4925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8127 loss: 0.8127 2022/06/29 05:58:36 - mmengine - INFO - Epoch(train) [97][700/3757] lr: 1.000e-04 eta: 1:03:31 time: 0.227 data_time: 0.014 memory: 5150 grad_norm: 8.6374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2861 loss: 1.2861 2022/06/29 05:58:42 - mmengine - INFO - Epoch(train) [97][720/3757] lr: 1.000e-04 eta: 1:03:26 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.8760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1964 loss: 1.1964 2022/06/29 05:58:47 - mmengine - INFO - Epoch(train) [97][740/3757] lr: 1.000e-04 eta: 1:03:21 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1188 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6812 loss: 1.6812 2022/06/29 05:58:52 - mmengine - INFO - Epoch(train) [97][760/3757] lr: 1.000e-04 eta: 1:03:15 time: 0.212 data_time: 0.016 memory: 5150 grad_norm: 10.5328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9089 loss: 0.9089 2022/06/29 05:58:57 - mmengine - INFO - Epoch(train) [97][780/3757] lr: 1.000e-04 eta: 1:03:10 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.1119 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9291 loss: 0.9291 2022/06/29 05:59:03 - mmengine - INFO - Epoch(train) [97][800/3757] lr: 1.000e-04 eta: 1:03:05 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.4434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3924 loss: 1.3924 2022/06/29 05:59:08 - mmengine - INFO - Epoch(train) [97][820/3757] lr: 1.000e-04 eta: 1:02:59 time: 0.210 data_time: 0.014 memory: 5150 grad_norm: 8.1036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2203 loss: 1.2203 2022/06/29 05:59:13 - mmengine - INFO - Epoch(train) [97][840/3757] lr: 1.000e-04 eta: 1:02:54 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.2263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0810 loss: 1.0810 2022/06/29 05:59:18 - mmengine - INFO - Epoch(train) [97][860/3757] lr: 1.000e-04 eta: 1:02:49 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.6199 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8548 loss: 0.8548 2022/06/29 05:59:24 - mmengine - INFO - Epoch(train) [97][880/3757] lr: 1.000e-04 eta: 1:02:43 time: 0.452 data_time: 0.016 memory: 5150 grad_norm: 9.8959 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8197 loss: 0.8197 2022/06/29 05:59:29 - mmengine - INFO - Epoch(train) [97][900/3757] lr: 1.000e-04 eta: 1:02:38 time: 0.198 data_time: 0.012 memory: 5150 grad_norm: 9.6995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8494 loss: 0.8494 2022/06/29 05:59:34 - mmengine - INFO - Epoch(train) [97][920/3757] lr: 1.000e-04 eta: 1:02:33 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8240 loss: 0.8240 2022/06/29 05:59:40 - mmengine - INFO - Epoch(train) [97][940/3757] lr: 1.000e-04 eta: 1:02:27 time: 0.240 data_time: 0.024 memory: 5150 grad_norm: 9.7079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/06/29 05:59:45 - mmengine - INFO - Epoch(train) [97][960/3757] lr: 1.000e-04 eta: 1:02:22 time: 0.218 data_time: 0.016 memory: 5150 grad_norm: 9.3734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2377 loss: 1.2377 2022/06/29 05:59:50 - mmengine - INFO - Epoch(train) [97][980/3757] lr: 1.000e-04 eta: 1:02:17 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 12.7328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2480 loss: 1.2480 2022/06/29 05:59:56 - mmengine - INFO - Epoch(train) [97][1000/3757] lr: 1.000e-04 eta: 1:02:11 time: 0.200 data_time: 0.022 memory: 5150 grad_norm: 12.1749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5238 loss: 1.5238 2022/06/29 06:00:01 - mmengine - INFO - Epoch(train) [97][1020/3757] lr: 1.000e-04 eta: 1:02:06 time: 0.221 data_time: 0.015 memory: 5150 grad_norm: 7.6895 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9894 loss: 0.9894 2022/06/29 06:00:08 - mmengine - INFO - Epoch(train) [97][1040/3757] lr: 1.000e-04 eta: 1:02:01 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.2649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7213 loss: 0.7213 2022/06/29 06:00:12 - mmengine - INFO - Epoch(train) [97][1060/3757] lr: 1.000e-04 eta: 1:01:55 time: 0.207 data_time: 0.010 memory: 5150 grad_norm: 9.7951 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0740 loss: 1.0740 2022/06/29 06:00:17 - mmengine - INFO - Epoch(train) [97][1080/3757] lr: 1.000e-04 eta: 1:01:50 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 8.6951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3405 loss: 1.3405 2022/06/29 06:00:23 - mmengine - INFO - Epoch(train) [97][1100/3757] lr: 1.000e-04 eta: 1:01:45 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 10.7248 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.1287 loss: 1.1287 2022/06/29 06:00:29 - mmengine - INFO - Epoch(train) [97][1120/3757] lr: 1.000e-04 eta: 1:01:39 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 9.2194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/06/29 06:00:33 - mmengine - INFO - Epoch(train) [97][1140/3757] lr: 1.000e-04 eta: 1:01:34 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.6356 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2500 loss: 1.2500 2022/06/29 06:00:39 - mmengine - INFO - Epoch(train) [97][1160/3757] lr: 1.000e-04 eta: 1:01:29 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 8.7279 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2152 loss: 1.2152 2022/06/29 06:00:44 - mmengine - INFO - Epoch(train) [97][1180/3757] lr: 1.000e-04 eta: 1:01:23 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.4063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1485 loss: 1.1485 2022/06/29 06:00:49 - mmengine - INFO - Epoch(train) [97][1200/3757] lr: 1.000e-04 eta: 1:01:18 time: 0.283 data_time: 0.007 memory: 5150 grad_norm: 10.0438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1704 loss: 1.1704 2022/06/29 06:00:55 - mmengine - INFO - Epoch(train) [97][1220/3757] lr: 1.000e-04 eta: 1:01:13 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.8956 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5574 loss: 1.5574 2022/06/29 06:01:01 - mmengine - INFO - Epoch(train) [97][1240/3757] lr: 1.000e-04 eta: 1:01:08 time: 0.217 data_time: 0.015 memory: 5150 grad_norm: 11.4224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3253 loss: 1.3253 2022/06/29 06:01:05 - mmengine - INFO - Epoch(train) [97][1260/3757] lr: 1.000e-04 eta: 1:01:02 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.5321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9964 loss: 0.9964 2022/06/29 06:01:11 - mmengine - INFO - Epoch(train) [97][1280/3757] lr: 1.000e-04 eta: 1:00:57 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.6052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2614 loss: 1.2614 2022/06/29 06:01:17 - mmengine - INFO - Epoch(train) [97][1300/3757] lr: 1.000e-04 eta: 1:00:52 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.8130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/06/29 06:01:22 - mmengine - INFO - Epoch(train) [97][1320/3757] lr: 1.000e-04 eta: 1:00:46 time: 0.225 data_time: 0.007 memory: 5150 grad_norm: 8.4824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8097 loss: 0.8097 2022/06/29 06:01:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:01:27 - mmengine - INFO - Epoch(train) [97][1340/3757] lr: 1.000e-04 eta: 1:00:41 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 10.5258 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0861 loss: 1.0861 2022/06/29 06:01:32 - mmengine - INFO - Epoch(train) [97][1360/3757] lr: 1.000e-04 eta: 1:00:36 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.8746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8844 loss: 0.8844 2022/06/29 06:01:38 - mmengine - INFO - Epoch(train) [97][1380/3757] lr: 1.000e-04 eta: 1:00:30 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 9.4666 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1517 loss: 1.1517 2022/06/29 06:01:43 - mmengine - INFO - Epoch(train) [97][1400/3757] lr: 1.000e-04 eta: 1:00:25 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.8620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9826 loss: 0.9826 2022/06/29 06:01:49 - mmengine - INFO - Epoch(train) [97][1420/3757] lr: 1.000e-04 eta: 1:00:20 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.4576 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1219 loss: 1.1219 2022/06/29 06:01:54 - mmengine - INFO - Epoch(train) [97][1440/3757] lr: 1.000e-04 eta: 1:00:14 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.4616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1098 loss: 1.1098 2022/06/29 06:01:59 - mmengine - INFO - Epoch(train) [97][1460/3757] lr: 1.000e-04 eta: 1:00:09 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.7516 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4817 loss: 1.4817 2022/06/29 06:02:04 - mmengine - INFO - Epoch(train) [97][1480/3757] lr: 1.000e-04 eta: 1:00:04 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 9.6735 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9524 loss: 0.9524 2022/06/29 06:02:10 - mmengine - INFO - Epoch(train) [97][1500/3757] lr: 1.000e-04 eta: 0:59:58 time: 0.220 data_time: 0.007 memory: 5150 grad_norm: 9.6029 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/06/29 06:02:14 - mmengine - INFO - Epoch(train) [97][1520/3757] lr: 1.000e-04 eta: 0:59:53 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 10.9010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2487 loss: 1.2487 2022/06/29 06:02:20 - mmengine - INFO - Epoch(train) [97][1540/3757] lr: 1.000e-04 eta: 0:59:48 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 8.1298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4508 loss: 1.4508 2022/06/29 06:02:26 - mmengine - INFO - Epoch(train) [97][1560/3757] lr: 1.000e-04 eta: 0:59:42 time: 0.239 data_time: 0.008 memory: 5150 grad_norm: 8.8707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0524 loss: 1.0524 2022/06/29 06:02:31 - mmengine - INFO - Epoch(train) [97][1580/3757] lr: 1.000e-04 eta: 0:59:37 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 8.7707 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/06/29 06:02:36 - mmengine - INFO - Epoch(train) [97][1600/3757] lr: 1.000e-04 eta: 0:59:32 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.6452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3001 loss: 1.3001 2022/06/29 06:02:42 - mmengine - INFO - Epoch(train) [97][1620/3757] lr: 1.000e-04 eta: 0:59:26 time: 0.235 data_time: 0.009 memory: 5150 grad_norm: 11.4930 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2229 loss: 1.2229 2022/06/29 06:02:46 - mmengine - INFO - Epoch(train) [97][1640/3757] lr: 1.000e-04 eta: 0:59:21 time: 0.212 data_time: 0.009 memory: 5150 grad_norm: 10.9073 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9588 loss: 0.9588 2022/06/29 06:02:52 - mmengine - INFO - Epoch(train) [97][1660/3757] lr: 1.000e-04 eta: 0:59:16 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.8968 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2815 loss: 1.2815 2022/06/29 06:02:57 - mmengine - INFO - Epoch(train) [97][1680/3757] lr: 1.000e-04 eta: 0:59:10 time: 0.484 data_time: 0.007 memory: 5150 grad_norm: 9.2688 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1868 loss: 1.1868 2022/06/29 06:03:02 - mmengine - INFO - Epoch(train) [97][1700/3757] lr: 1.000e-04 eta: 0:59:05 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.3230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/06/29 06:03:08 - mmengine - INFO - Epoch(train) [97][1720/3757] lr: 1.000e-04 eta: 0:59:00 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 8.9749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9136 loss: 0.9136 2022/06/29 06:03:13 - mmengine - INFO - Epoch(train) [97][1740/3757] lr: 1.000e-04 eta: 0:58:54 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 8.5239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1977 loss: 1.1977 2022/06/29 06:03:19 - mmengine - INFO - Epoch(train) [97][1760/3757] lr: 1.000e-04 eta: 0:58:49 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 9.2963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4335 loss: 1.4335 2022/06/29 06:03:24 - mmengine - INFO - Epoch(train) [97][1780/3757] lr: 1.000e-04 eta: 0:58:44 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 10.5197 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8487 loss: 0.8487 2022/06/29 06:03:29 - mmengine - INFO - Epoch(train) [97][1800/3757] lr: 1.000e-04 eta: 0:58:39 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 12.0632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9947 loss: 0.9947 2022/06/29 06:03:34 - mmengine - INFO - Epoch(train) [97][1820/3757] lr: 1.000e-04 eta: 0:58:33 time: 0.221 data_time: 0.007 memory: 5150 grad_norm: 8.7423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/06/29 06:03:40 - mmengine - INFO - Epoch(train) [97][1840/3757] lr: 1.000e-04 eta: 0:58:28 time: 0.205 data_time: 0.021 memory: 5150 grad_norm: 7.9199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0911 loss: 1.0911 2022/06/29 06:03:45 - mmengine - INFO - Epoch(train) [97][1860/3757] lr: 1.000e-04 eta: 0:58:23 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 9.1136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/06/29 06:03:51 - mmengine - INFO - Epoch(train) [97][1880/3757] lr: 1.000e-04 eta: 0:58:17 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.4994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1660 loss: 1.1660 2022/06/29 06:03:56 - mmengine - INFO - Epoch(train) [97][1900/3757] lr: 1.000e-04 eta: 0:58:12 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 12.0149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1645 loss: 1.1645 2022/06/29 06:04:02 - mmengine - INFO - Epoch(train) [97][1920/3757] lr: 1.000e-04 eta: 0:58:07 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.7815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9505 loss: 0.9505 2022/06/29 06:04:07 - mmengine - INFO - Epoch(train) [97][1940/3757] lr: 1.000e-04 eta: 0:58:01 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.0943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8144 loss: 0.8144 2022/06/29 06:04:12 - mmengine - INFO - Epoch(train) [97][1960/3757] lr: 1.000e-04 eta: 0:57:56 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 8.3584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/06/29 06:04:17 - mmengine - INFO - Epoch(train) [97][1980/3757] lr: 1.000e-04 eta: 0:57:51 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 10.1501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1303 loss: 1.1303 2022/06/29 06:04:23 - mmengine - INFO - Epoch(train) [97][2000/3757] lr: 1.000e-04 eta: 0:57:45 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 11.0156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/06/29 06:04:28 - mmengine - INFO - Epoch(train) [97][2020/3757] lr: 1.000e-04 eta: 0:57:40 time: 0.209 data_time: 0.009 memory: 5150 grad_norm: 10.2670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3845 loss: 1.3845 2022/06/29 06:04:34 - mmengine - INFO - Epoch(train) [97][2040/3757] lr: 1.000e-04 eta: 0:57:35 time: 0.230 data_time: 0.009 memory: 5150 grad_norm: 9.6381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/06/29 06:04:39 - mmengine - INFO - Epoch(train) [97][2060/3757] lr: 1.000e-04 eta: 0:57:29 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.7314 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2193 loss: 1.2193 2022/06/29 06:04:45 - mmengine - INFO - Epoch(train) [97][2080/3757] lr: 1.000e-04 eta: 0:57:24 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3537 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1350 loss: 1.1350 2022/06/29 06:04:50 - mmengine - INFO - Epoch(train) [97][2100/3757] lr: 1.000e-04 eta: 0:57:19 time: 0.438 data_time: 0.009 memory: 5150 grad_norm: 7.3404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/06/29 06:04:55 - mmengine - INFO - Epoch(train) [97][2120/3757] lr: 1.000e-04 eta: 0:57:13 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 9.5942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/06/29 06:05:01 - mmengine - INFO - Epoch(train) [97][2140/3757] lr: 1.000e-04 eta: 0:57:08 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 8.9757 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4101 loss: 1.4101 2022/06/29 06:05:06 - mmengine - INFO - Epoch(train) [97][2160/3757] lr: 1.000e-04 eta: 0:57:03 time: 0.434 data_time: 0.008 memory: 5150 grad_norm: 9.9431 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0135 loss: 1.0135 2022/06/29 06:05:12 - mmengine - INFO - Epoch(train) [97][2180/3757] lr: 1.000e-04 eta: 0:56:57 time: 0.223 data_time: 0.039 memory: 5150 grad_norm: 10.6097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3642 loss: 1.3642 2022/06/29 06:05:17 - mmengine - INFO - Epoch(train) [97][2200/3757] lr: 1.000e-04 eta: 0:56:52 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.8304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7060 loss: 1.7060 2022/06/29 06:05:23 - mmengine - INFO - Epoch(train) [97][2220/3757] lr: 1.000e-04 eta: 0:56:47 time: 0.715 data_time: 0.012 memory: 5150 grad_norm: 8.7738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/06/29 06:05:27 - mmengine - INFO - Epoch(train) [97][2240/3757] lr: 1.000e-04 eta: 0:56:41 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.9946 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1400 loss: 1.1400 2022/06/29 06:05:33 - mmengine - INFO - Epoch(train) [97][2260/3757] lr: 1.000e-04 eta: 0:56:36 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.4400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4170 loss: 1.4170 2022/06/29 06:05:38 - mmengine - INFO - Epoch(train) [97][2280/3757] lr: 1.000e-04 eta: 0:56:31 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 9.5250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0908 loss: 1.0908 2022/06/29 06:05:43 - mmengine - INFO - Epoch(train) [97][2300/3757] lr: 1.000e-04 eta: 0:56:26 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 8.3597 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1084 loss: 1.1084 2022/06/29 06:05:49 - mmengine - INFO - Epoch(train) [97][2320/3757] lr: 1.000e-04 eta: 0:56:20 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 7.7360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4409 loss: 1.4409 2022/06/29 06:05:51 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:05:54 - mmengine - INFO - Epoch(train) [97][2340/3757] lr: 1.000e-04 eta: 0:56:15 time: 0.223 data_time: 0.008 memory: 5150 grad_norm: 9.8140 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/06/29 06:06:00 - mmengine - INFO - Epoch(train) [97][2360/3757] lr: 1.000e-04 eta: 0:56:10 time: 0.217 data_time: 0.013 memory: 5150 grad_norm: 8.7242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1883 loss: 1.1883 2022/06/29 06:06:05 - mmengine - INFO - Epoch(train) [97][2380/3757] lr: 1.000e-04 eta: 0:56:04 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.0413 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8890 loss: 0.8890 2022/06/29 06:06:10 - mmengine - INFO - Epoch(train) [97][2400/3757] lr: 1.000e-04 eta: 0:55:59 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 10.9642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9911 loss: 0.9911 2022/06/29 06:06:16 - mmengine - INFO - Epoch(train) [97][2420/3757] lr: 1.000e-04 eta: 0:55:54 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 11.6565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1010 loss: 1.1010 2022/06/29 06:06:21 - mmengine - INFO - Epoch(train) [97][2440/3757] lr: 1.000e-04 eta: 0:55:48 time: 0.708 data_time: 0.011 memory: 5150 grad_norm: 8.5728 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/06/29 06:06:26 - mmengine - INFO - Epoch(train) [97][2460/3757] lr: 1.000e-04 eta: 0:55:43 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 8.3259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0635 loss: 1.0635 2022/06/29 06:06:31 - mmengine - INFO - Epoch(train) [97][2480/3757] lr: 1.000e-04 eta: 0:55:38 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 10.2422 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0652 loss: 1.0652 2022/06/29 06:06:37 - mmengine - INFO - Epoch(train) [97][2500/3757] lr: 1.000e-04 eta: 0:55:32 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.4064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8329 loss: 0.8329 2022/06/29 06:06:42 - mmengine - INFO - Epoch(train) [97][2520/3757] lr: 1.000e-04 eta: 0:55:27 time: 0.237 data_time: 0.008 memory: 5150 grad_norm: 8.7580 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/06/29 06:06:47 - mmengine - INFO - Epoch(train) [97][2540/3757] lr: 1.000e-04 eta: 0:55:22 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 7.9441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/06/29 06:06:53 - mmengine - INFO - Epoch(train) [97][2560/3757] lr: 1.000e-04 eta: 0:55:16 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 7.8950 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3135 loss: 1.3135 2022/06/29 06:06:58 - mmengine - INFO - Epoch(train) [97][2580/3757] lr: 1.000e-04 eta: 0:55:11 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.0962 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3142 loss: 1.3142 2022/06/29 06:07:04 - mmengine - INFO - Epoch(train) [97][2600/3757] lr: 1.000e-04 eta: 0:55:06 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.1759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/06/29 06:07:09 - mmengine - INFO - Epoch(train) [97][2620/3757] lr: 1.000e-04 eta: 0:55:00 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.0600 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/06/29 06:07:15 - mmengine - INFO - Epoch(train) [97][2640/3757] lr: 1.000e-04 eta: 0:54:55 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 10.4381 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/06/29 06:07:20 - mmengine - INFO - Epoch(train) [97][2660/3757] lr: 1.000e-04 eta: 0:54:50 time: 0.229 data_time: 0.054 memory: 5150 grad_norm: 8.6737 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/06/29 06:07:25 - mmengine - INFO - Epoch(train) [97][2680/3757] lr: 1.000e-04 eta: 0:54:44 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 11.1388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/06/29 06:07:31 - mmengine - INFO - Epoch(train) [97][2700/3757] lr: 1.000e-04 eta: 0:54:39 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.0052 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0695 loss: 1.0695 2022/06/29 06:07:35 - mmengine - INFO - Epoch(train) [97][2720/3757] lr: 1.000e-04 eta: 0:54:34 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.6650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0860 loss: 1.0860 2022/06/29 06:07:41 - mmengine - INFO - Epoch(train) [97][2740/3757] lr: 1.000e-04 eta: 0:54:28 time: 0.317 data_time: 0.025 memory: 5150 grad_norm: 9.0702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/06/29 06:07:46 - mmengine - INFO - Epoch(train) [97][2760/3757] lr: 1.000e-04 eta: 0:54:23 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 8.4319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9597 loss: 0.9597 2022/06/29 06:07:51 - mmengine - INFO - Epoch(train) [97][2780/3757] lr: 1.000e-04 eta: 0:54:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.3177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1819 loss: 1.1819 2022/06/29 06:07:57 - mmengine - INFO - Epoch(train) [97][2800/3757] lr: 1.000e-04 eta: 0:54:12 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 11.0667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3821 loss: 1.3821 2022/06/29 06:08:01 - mmengine - INFO - Epoch(train) [97][2820/3757] lr: 1.000e-04 eta: 0:54:07 time: 0.213 data_time: 0.020 memory: 5150 grad_norm: 10.8280 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3676 loss: 1.3676 2022/06/29 06:08:06 - mmengine - INFO - Epoch(train) [97][2840/3757] lr: 1.000e-04 eta: 0:54:02 time: 0.213 data_time: 0.015 memory: 5150 grad_norm: 9.8607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1490 loss: 1.1490 2022/06/29 06:08:12 - mmengine - INFO - Epoch(train) [97][2860/3757] lr: 1.000e-04 eta: 0:53:57 time: 0.198 data_time: 0.022 memory: 5150 grad_norm: 10.9358 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3212 loss: 1.3212 2022/06/29 06:08:17 - mmengine - INFO - Epoch(train) [97][2880/3757] lr: 1.000e-04 eta: 0:53:51 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 9.2392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/06/29 06:08:22 - mmengine - INFO - Epoch(train) [97][2900/3757] lr: 1.000e-04 eta: 0:53:46 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2928 loss: 1.2928 2022/06/29 06:08:28 - mmengine - INFO - Epoch(train) [97][2920/3757] lr: 1.000e-04 eta: 0:53:41 time: 0.201 data_time: 0.018 memory: 5150 grad_norm: 8.6205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5337 loss: 1.5337 2022/06/29 06:08:33 - mmengine - INFO - Epoch(train) [97][2940/3757] lr: 1.000e-04 eta: 0:53:35 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.8008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/06/29 06:08:38 - mmengine - INFO - Epoch(train) [97][2960/3757] lr: 1.000e-04 eta: 0:53:30 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.0497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4349 loss: 1.4349 2022/06/29 06:08:44 - mmengine - INFO - Epoch(train) [97][2980/3757] lr: 1.000e-04 eta: 0:53:25 time: 0.202 data_time: 0.020 memory: 5150 grad_norm: 9.9894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2661 loss: 1.2661 2022/06/29 06:08:49 - mmengine - INFO - Epoch(train) [97][3000/3757] lr: 1.000e-04 eta: 0:53:19 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 10.8456 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2645 loss: 1.2645 2022/06/29 06:08:54 - mmengine - INFO - Epoch(train) [97][3020/3757] lr: 1.000e-04 eta: 0:53:14 time: 0.201 data_time: 0.011 memory: 5150 grad_norm: 9.8722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3768 loss: 1.3768 2022/06/29 06:08:59 - mmengine - INFO - Epoch(train) [97][3040/3757] lr: 1.000e-04 eta: 0:53:09 time: 0.205 data_time: 0.022 memory: 5150 grad_norm: 10.7338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3143 loss: 1.3143 2022/06/29 06:09:05 - mmengine - INFO - Epoch(train) [97][3060/3757] lr: 1.000e-04 eta: 0:53:03 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.3907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/06/29 06:09:11 - mmengine - INFO - Epoch(train) [97][3080/3757] lr: 1.000e-04 eta: 0:52:58 time: 0.349 data_time: 0.010 memory: 5150 grad_norm: 9.9268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0903 loss: 1.0903 2022/06/29 06:09:16 - mmengine - INFO - Epoch(train) [97][3100/3757] lr: 1.000e-04 eta: 0:52:53 time: 0.205 data_time: 0.019 memory: 5150 grad_norm: 9.2559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3643 loss: 1.3643 2022/06/29 06:09:21 - mmengine - INFO - Epoch(train) [97][3120/3757] lr: 1.000e-04 eta: 0:52:47 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 10.8836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9462 loss: 0.9462 2022/06/29 06:09:27 - mmengine - INFO - Epoch(train) [97][3140/3757] lr: 1.000e-04 eta: 0:52:42 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 8.3069 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0945 loss: 1.0945 2022/06/29 06:09:32 - mmengine - INFO - Epoch(train) [97][3160/3757] lr: 1.000e-04 eta: 0:52:37 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 10.9278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9192 loss: 0.9192 2022/06/29 06:09:37 - mmengine - INFO - Epoch(train) [97][3180/3757] lr: 1.000e-04 eta: 0:52:31 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.4197 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1991 loss: 1.1991 2022/06/29 06:09:42 - mmengine - INFO - Epoch(train) [97][3200/3757] lr: 1.000e-04 eta: 0:52:26 time: 0.206 data_time: 0.016 memory: 5150 grad_norm: 9.7438 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7550 loss: 1.7550 2022/06/29 06:09:48 - mmengine - INFO - Epoch(train) [97][3220/3757] lr: 1.000e-04 eta: 0:52:21 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 8.7615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9704 loss: 0.9704 2022/06/29 06:09:53 - mmengine - INFO - Epoch(train) [97][3240/3757] lr: 1.000e-04 eta: 0:52:15 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.4491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0598 loss: 1.0598 2022/06/29 06:09:58 - mmengine - INFO - Epoch(train) [97][3260/3757] lr: 1.000e-04 eta: 0:52:10 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 8.8516 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7916 loss: 0.7916 2022/06/29 06:10:04 - mmengine - INFO - Epoch(train) [97][3280/3757] lr: 1.000e-04 eta: 0:52:05 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 10.5186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/06/29 06:10:09 - mmengine - INFO - Epoch(train) [97][3300/3757] lr: 1.000e-04 eta: 0:51:59 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.7468 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1325 loss: 1.1325 2022/06/29 06:10:14 - mmengine - INFO - Epoch(train) [97][3320/3757] lr: 1.000e-04 eta: 0:51:54 time: 0.198 data_time: 0.013 memory: 5150 grad_norm: 9.1997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8760 loss: 0.8760 2022/06/29 06:10:17 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:10:20 - mmengine - INFO - Epoch(train) [97][3340/3757] lr: 1.000e-04 eta: 0:51:49 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 9.6072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/06/29 06:10:25 - mmengine - INFO - Epoch(train) [97][3360/3757] lr: 1.000e-04 eta: 0:51:43 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.3129 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8165 loss: 0.8165 2022/06/29 06:10:31 - mmengine - INFO - Epoch(train) [97][3380/3757] lr: 1.000e-04 eta: 0:51:38 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 11.2906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/06/29 06:10:36 - mmengine - INFO - Epoch(train) [97][3400/3757] lr: 1.000e-04 eta: 0:51:33 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 9.5242 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/06/29 06:10:41 - mmengine - INFO - Epoch(train) [97][3420/3757] lr: 1.000e-04 eta: 0:51:28 time: 0.283 data_time: 0.008 memory: 5150 grad_norm: 8.2728 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3797 loss: 1.3797 2022/06/29 06:10:46 - mmengine - INFO - Epoch(train) [97][3440/3757] lr: 1.000e-04 eta: 0:51:22 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 10.3563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/06/29 06:10:51 - mmengine - INFO - Epoch(train) [97][3460/3757] lr: 1.000e-04 eta: 0:51:17 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 11.0826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2137 loss: 1.2137 2022/06/29 06:10:57 - mmengine - INFO - Epoch(train) [97][3480/3757] lr: 1.000e-04 eta: 0:51:12 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.6362 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6035 loss: 1.6035 2022/06/29 06:11:03 - mmengine - INFO - Epoch(train) [97][3500/3757] lr: 1.000e-04 eta: 0:51:06 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.9065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1410 loss: 1.1410 2022/06/29 06:11:07 - mmengine - INFO - Epoch(train) [97][3520/3757] lr: 1.000e-04 eta: 0:51:01 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 8.2538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/06/29 06:11:13 - mmengine - INFO - Epoch(train) [97][3540/3757] lr: 1.000e-04 eta: 0:50:56 time: 0.232 data_time: 0.053 memory: 5150 grad_norm: 10.3081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0832 loss: 1.0832 2022/06/29 06:11:19 - mmengine - INFO - Epoch(train) [97][3560/3757] lr: 1.000e-04 eta: 0:50:50 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.6848 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0359 loss: 1.0359 2022/06/29 06:11:24 - mmengine - INFO - Epoch(train) [97][3580/3757] lr: 1.000e-04 eta: 0:50:45 time: 0.201 data_time: 0.015 memory: 5150 grad_norm: 9.8814 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2931 loss: 1.2931 2022/06/29 06:11:29 - mmengine - INFO - Epoch(train) [97][3600/3757] lr: 1.000e-04 eta: 0:50:40 time: 0.221 data_time: 0.021 memory: 5150 grad_norm: 11.4225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0379 loss: 1.0379 2022/06/29 06:11:35 - mmengine - INFO - Epoch(train) [97][3620/3757] lr: 1.000e-04 eta: 0:50:34 time: 0.199 data_time: 0.011 memory: 5150 grad_norm: 10.5065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/06/29 06:11:40 - mmengine - INFO - Epoch(train) [97][3640/3757] lr: 1.000e-04 eta: 0:50:29 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 7.7560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/06/29 06:11:45 - mmengine - INFO - Epoch(train) [97][3660/3757] lr: 1.000e-04 eta: 0:50:24 time: 0.195 data_time: 0.016 memory: 5150 grad_norm: 9.1103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2372 loss: 1.2372 2022/06/29 06:11:50 - mmengine - INFO - Epoch(train) [97][3680/3757] lr: 1.000e-04 eta: 0:50:18 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.8139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/06/29 06:11:55 - mmengine - INFO - Epoch(train) [97][3700/3757] lr: 1.000e-04 eta: 0:50:13 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.0199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0714 loss: 1.0714 2022/06/29 06:12:01 - mmengine - INFO - Epoch(train) [97][3720/3757] lr: 1.000e-04 eta: 0:50:08 time: 0.197 data_time: 0.020 memory: 5150 grad_norm: 8.3635 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/06/29 06:12:07 - mmengine - INFO - Epoch(train) [97][3740/3757] lr: 1.000e-04 eta: 0:50:02 time: 0.207 data_time: 0.024 memory: 5150 grad_norm: 8.8526 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7231 loss: 0.7231 2022/06/29 06:12:10 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:12:43 - mmengine - INFO - Epoch(val) [97][20/310] eta: 0:05:45 time: 1.067 data_time: 0.433 memory: 9746 2022/06/29 06:13:05 - mmengine - INFO - Epoch(val) [97][40/310] eta: 0:04:56 time: 1.013 data_time: 0.364 memory: 9746 2022/06/29 06:13:28 - mmengine - INFO - Epoch(val) [97][60/310] eta: 0:04:16 time: 1.034 data_time: 0.403 memory: 9746 2022/06/29 06:13:52 - mmengine - INFO - Epoch(val) [97][80/310] eta: 0:04:51 time: 1.031 data_time: 0.368 memory: 9746 2022/06/29 06:14:16 - mmengine - INFO - Epoch(val) [97][100/310] eta: 0:04:15 time: 2.461 data_time: 1.789 memory: 9746 2022/06/29 06:14:37 - mmengine - INFO - Epoch(val) [97][120/310] eta: 0:03:27 time: 1.156 data_time: 0.530 memory: 9746 2022/06/29 06:15:02 - mmengine - INFO - Epoch(val) [97][140/310] eta: 0:03:19 time: 1.057 data_time: 0.404 memory: 9746 2022/06/29 06:15:27 - mmengine - INFO - Epoch(val) [97][160/310] eta: 0:03:16 time: 3.333 data_time: 2.655 memory: 9746 2022/06/29 06:15:49 - mmengine - INFO - Epoch(val) [97][180/310] eta: 0:02:37 time: 1.040 data_time: 0.411 memory: 9746 2022/06/29 06:16:12 - mmengine - INFO - Epoch(val) [97][200/310] eta: 0:02:03 time: 1.078 data_time: 0.404 memory: 9746 2022/06/29 06:16:33 - mmengine - INFO - Epoch(val) [97][220/310] eta: 0:01:36 time: 1.166 data_time: 0.512 memory: 9746 2022/06/29 06:16:54 - mmengine - INFO - Epoch(val) [97][240/310] eta: 0:01:12 time: 1.096 data_time: 0.458 memory: 9746 2022/06/29 06:17:18 - mmengine - INFO - Epoch(val) [97][260/310] eta: 0:01:00 time: 1.053 data_time: 0.397 memory: 9746 2022/06/29 06:17:41 - mmengine - INFO - Epoch(val) [97][280/310] eta: 0:00:34 time: 2.063 data_time: 1.401 memory: 9746 2022/06/29 06:18:00 - mmengine - INFO - Epoch(val) [97][300/310] eta: 0:00:08 time: 0.642 data_time: 0.070 memory: 9746 2022/06/29 06:18:12 - mmengine - INFO - Epoch(val) [97][310/310] acc/top1: 0.7244 acc/top5: 0.9059 acc/mean1: 0.7244 2022/06/29 06:18:21 - mmengine - INFO - Epoch(train) [98][20/3757] lr: 1.000e-04 eta: 0:49:53 time: 0.196 data_time: 0.011 memory: 9746 grad_norm: 9.0215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/06/29 06:18:26 - mmengine - INFO - Epoch(train) [98][40/3757] lr: 1.000e-04 eta: 0:49:47 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.1133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1082 loss: 1.1082 2022/06/29 06:18:31 - mmengine - INFO - Epoch(train) [98][60/3757] lr: 1.000e-04 eta: 0:49:42 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.1488 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1399 loss: 1.1399 2022/06/29 06:18:37 - mmengine - INFO - Epoch(train) [98][80/3757] lr: 1.000e-04 eta: 0:49:37 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.1244 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1016 loss: 1.1016 2022/06/29 06:18:43 - mmengine - INFO - Epoch(train) [98][100/3757] lr: 1.000e-04 eta: 0:49:31 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 10.1351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4608 loss: 1.4608 2022/06/29 06:18:47 - mmengine - INFO - Epoch(train) [98][120/3757] lr: 1.000e-04 eta: 0:49:26 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.2790 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/06/29 06:18:53 - mmengine - INFO - Epoch(train) [98][140/3757] lr: 1.000e-04 eta: 0:49:21 time: 0.202 data_time: 0.009 memory: 5150 grad_norm: 9.9396 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2233 loss: 1.2233 2022/06/29 06:18:59 - mmengine - INFO - Epoch(train) [98][160/3757] lr: 1.000e-04 eta: 0:49:15 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 11.4293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9382 loss: 0.9382 2022/06/29 06:19:04 - mmengine - INFO - Epoch(train) [98][180/3757] lr: 1.000e-04 eta: 0:49:10 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9448 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4816 loss: 1.4816 2022/06/29 06:19:09 - mmengine - INFO - Epoch(train) [98][200/3757] lr: 1.000e-04 eta: 0:49:05 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.1967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0283 loss: 1.0283 2022/06/29 06:19:15 - mmengine - INFO - Epoch(train) [98][220/3757] lr: 1.000e-04 eta: 0:48:59 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.0586 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0210 loss: 1.0210 2022/06/29 06:19:20 - mmengine - INFO - Epoch(train) [98][240/3757] lr: 1.000e-04 eta: 0:48:54 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 10.0427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0030 loss: 1.0030 2022/06/29 06:19:25 - mmengine - INFO - Epoch(train) [98][260/3757] lr: 1.000e-04 eta: 0:48:49 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 9.6653 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/06/29 06:19:30 - mmengine - INFO - Epoch(train) [98][280/3757] lr: 1.000e-04 eta: 0:48:43 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.2647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2346 loss: 1.2346 2022/06/29 06:19:35 - mmengine - INFO - Epoch(train) [98][300/3757] lr: 1.000e-04 eta: 0:48:38 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.2348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2648 loss: 1.2648 2022/06/29 06:19:41 - mmengine - INFO - Epoch(train) [98][320/3757] lr: 1.000e-04 eta: 0:48:33 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 11.3751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9798 loss: 0.9798 2022/06/29 06:19:47 - mmengine - INFO - Epoch(train) [98][340/3757] lr: 1.000e-04 eta: 0:48:27 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 7.7465 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3669 loss: 1.3669 2022/06/29 06:19:51 - mmengine - INFO - Epoch(train) [98][360/3757] lr: 1.000e-04 eta: 0:48:22 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 10.6018 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/06/29 06:19:57 - mmengine - INFO - Epoch(train) [98][380/3757] lr: 1.000e-04 eta: 0:48:17 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 8.1249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1039 loss: 1.1039 2022/06/29 06:20:02 - mmengine - INFO - Epoch(train) [98][400/3757] lr: 1.000e-04 eta: 0:48:11 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.4522 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4130 loss: 1.4130 2022/06/29 06:20:07 - mmengine - INFO - Epoch(train) [98][420/3757] lr: 1.000e-04 eta: 0:48:06 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 11.6613 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.8548 loss: 0.8548 2022/06/29 06:20:13 - mmengine - INFO - Epoch(train) [98][440/3757] lr: 1.000e-04 eta: 0:48:01 time: 0.214 data_time: 0.008 memory: 5150 grad_norm: 9.9938 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1368 loss: 1.1368 2022/06/29 06:20:18 - mmengine - INFO - Epoch(train) [98][460/3757] lr: 1.000e-04 eta: 0:47:56 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.0701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0185 loss: 1.0185 2022/06/29 06:20:23 - mmengine - INFO - Epoch(train) [98][480/3757] lr: 1.000e-04 eta: 0:47:50 time: 0.224 data_time: 0.007 memory: 5150 grad_norm: 8.2173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/06/29 06:20:28 - mmengine - INFO - Epoch(train) [98][500/3757] lr: 1.000e-04 eta: 0:47:45 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.8458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0794 loss: 1.0794 2022/06/29 06:20:33 - mmengine - INFO - Epoch(train) [98][520/3757] lr: 1.000e-04 eta: 0:47:40 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 9.8969 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9471 loss: 0.9471 2022/06/29 06:20:38 - mmengine - INFO - Epoch(train) [98][540/3757] lr: 1.000e-04 eta: 0:47:34 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.1560 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1006 loss: 1.1006 2022/06/29 06:20:44 - mmengine - INFO - Epoch(train) [98][560/3757] lr: 1.000e-04 eta: 0:47:29 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.3151 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2995 loss: 1.2995 2022/06/29 06:20:47 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:20:50 - mmengine - INFO - Epoch(train) [98][580/3757] lr: 1.000e-04 eta: 0:47:24 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.9458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/06/29 06:20:55 - mmengine - INFO - Epoch(train) [98][600/3757] lr: 1.000e-04 eta: 0:47:18 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.2109 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9293 loss: 0.9293 2022/06/29 06:21:00 - mmengine - INFO - Epoch(train) [98][620/3757] lr: 1.000e-04 eta: 0:47:13 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 11.1297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0743 loss: 1.0743 2022/06/29 06:21:05 - mmengine - INFO - Epoch(train) [98][640/3757] lr: 1.000e-04 eta: 0:47:08 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 10.0483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7441 loss: 0.7441 2022/06/29 06:21:10 - mmengine - INFO - Epoch(train) [98][660/3757] lr: 1.000e-04 eta: 0:47:02 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.7520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0920 loss: 1.0920 2022/06/29 06:21:16 - mmengine - INFO - Epoch(train) [98][680/3757] lr: 1.000e-04 eta: 0:46:57 time: 0.434 data_time: 0.008 memory: 5150 grad_norm: 9.6252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2009 loss: 1.2009 2022/06/29 06:21:21 - mmengine - INFO - Epoch(train) [98][700/3757] lr: 1.000e-04 eta: 0:46:52 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 10.2749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0646 loss: 1.0646 2022/06/29 06:21:26 - mmengine - INFO - Epoch(train) [98][720/3757] lr: 1.000e-04 eta: 0:46:46 time: 0.224 data_time: 0.008 memory: 5150 grad_norm: 9.1341 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1809 loss: 1.1809 2022/06/29 06:21:32 - mmengine - INFO - Epoch(train) [98][740/3757] lr: 1.000e-04 eta: 0:46:41 time: 0.220 data_time: 0.008 memory: 5150 grad_norm: 7.8770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1120 loss: 1.1120 2022/06/29 06:21:37 - mmengine - INFO - Epoch(train) [98][760/3757] lr: 1.000e-04 eta: 0:46:36 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 11.2112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/06/29 06:21:42 - mmengine - INFO - Epoch(train) [98][780/3757] lr: 1.000e-04 eta: 0:46:30 time: 0.497 data_time: 0.008 memory: 5150 grad_norm: 10.1299 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4991 loss: 1.4991 2022/06/29 06:21:47 - mmengine - INFO - Epoch(train) [98][800/3757] lr: 1.000e-04 eta: 0:46:25 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.0136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1961 loss: 1.1961 2022/06/29 06:21:54 - mmengine - INFO - Epoch(train) [98][820/3757] lr: 1.000e-04 eta: 0:46:20 time: 0.203 data_time: 0.016 memory: 5150 grad_norm: 10.1280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8319 loss: 0.8319 2022/06/29 06:21:58 - mmengine - INFO - Epoch(train) [98][840/3757] lr: 1.000e-04 eta: 0:46:14 time: 0.295 data_time: 0.007 memory: 5150 grad_norm: 8.2975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/06/29 06:22:03 - mmengine - INFO - Epoch(train) [98][860/3757] lr: 1.000e-04 eta: 0:46:09 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.4718 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6484 loss: 1.6484 2022/06/29 06:22:09 - mmengine - INFO - Epoch(train) [98][880/3757] lr: 1.000e-04 eta: 0:46:04 time: 0.207 data_time: 0.014 memory: 5150 grad_norm: 10.9405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/06/29 06:22:14 - mmengine - INFO - Epoch(train) [98][900/3757] lr: 1.000e-04 eta: 0:45:58 time: 0.230 data_time: 0.007 memory: 5150 grad_norm: 8.8857 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/06/29 06:22:20 - mmengine - INFO - Epoch(train) [98][920/3757] lr: 1.000e-04 eta: 0:45:53 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.1002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0184 loss: 1.0184 2022/06/29 06:22:25 - mmengine - INFO - Epoch(train) [98][940/3757] lr: 1.000e-04 eta: 0:45:48 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 9.6791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1027 loss: 1.1027 2022/06/29 06:22:30 - mmengine - INFO - Epoch(train) [98][960/3757] lr: 1.000e-04 eta: 0:45:42 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.1148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2245 loss: 1.2245 2022/06/29 06:22:36 - mmengine - INFO - Epoch(train) [98][980/3757] lr: 1.000e-04 eta: 0:45:37 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 7.8082 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/06/29 06:22:41 - mmengine - INFO - Epoch(train) [98][1000/3757] lr: 1.000e-04 eta: 0:45:32 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 8.2230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2033 loss: 1.2033 2022/06/29 06:22:46 - mmengine - INFO - Epoch(train) [98][1020/3757] lr: 1.000e-04 eta: 0:45:27 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.5979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7441 loss: 0.7441 2022/06/29 06:22:52 - mmengine - INFO - Epoch(train) [98][1040/3757] lr: 1.000e-04 eta: 0:45:21 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.8934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0142 loss: 1.0142 2022/06/29 06:22:58 - mmengine - INFO - Epoch(train) [98][1060/3757] lr: 1.000e-04 eta: 0:45:16 time: 0.213 data_time: 0.018 memory: 5150 grad_norm: 10.0227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2060 loss: 1.2060 2022/06/29 06:23:02 - mmengine - INFO - Epoch(train) [98][1080/3757] lr: 1.000e-04 eta: 0:45:11 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 6.7634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2688 loss: 1.2688 2022/06/29 06:23:08 - mmengine - INFO - Epoch(train) [98][1100/3757] lr: 1.000e-04 eta: 0:45:05 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.6846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0669 loss: 1.0669 2022/06/29 06:23:14 - mmengine - INFO - Epoch(train) [98][1120/3757] lr: 1.000e-04 eta: 0:45:00 time: 0.196 data_time: 0.011 memory: 5150 grad_norm: 9.8865 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/06/29 06:23:18 - mmengine - INFO - Epoch(train) [98][1140/3757] lr: 1.000e-04 eta: 0:44:55 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.2201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8375 loss: 0.8375 2022/06/29 06:23:22 - mmengine - INFO - Epoch(train) [98][1160/3757] lr: 1.000e-04 eta: 0:44:49 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 8.1674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8725 loss: 0.8725 2022/06/29 06:23:28 - mmengine - INFO - Epoch(train) [98][1180/3757] lr: 1.000e-04 eta: 0:44:44 time: 0.195 data_time: 0.011 memory: 5150 grad_norm: 11.6333 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.1253 loss: 1.1253 2022/06/29 06:23:33 - mmengine - INFO - Epoch(train) [98][1200/3757] lr: 1.000e-04 eta: 0:44:39 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 7.5559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/06/29 06:23:38 - mmengine - INFO - Epoch(train) [98][1220/3757] lr: 1.000e-04 eta: 0:44:33 time: 0.215 data_time: 0.009 memory: 5150 grad_norm: 9.4652 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0171 loss: 1.0171 2022/06/29 06:23:44 - mmengine - INFO - Epoch(train) [98][1240/3757] lr: 1.000e-04 eta: 0:44:28 time: 0.210 data_time: 0.011 memory: 5150 grad_norm: 10.1035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0525 loss: 1.0525 2022/06/29 06:23:49 - mmengine - INFO - Epoch(train) [98][1260/3757] lr: 1.000e-04 eta: 0:44:23 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 11.1187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3281 loss: 1.3281 2022/06/29 06:23:54 - mmengine - INFO - Epoch(train) [98][1280/3757] lr: 1.000e-04 eta: 0:44:17 time: 0.248 data_time: 0.007 memory: 5150 grad_norm: 9.6484 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2106 loss: 1.2106 2022/06/29 06:24:00 - mmengine - INFO - Epoch(train) [98][1300/3757] lr: 1.000e-04 eta: 0:44:12 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5757 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4797 loss: 1.4797 2022/06/29 06:24:05 - mmengine - INFO - Epoch(train) [98][1320/3757] lr: 1.000e-04 eta: 0:44:07 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.1217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7627 loss: 0.7627 2022/06/29 06:24:11 - mmengine - INFO - Epoch(train) [98][1340/3757] lr: 1.000e-04 eta: 0:44:01 time: 0.219 data_time: 0.010 memory: 5150 grad_norm: 10.9320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3114 loss: 1.3114 2022/06/29 06:24:16 - mmengine - INFO - Epoch(train) [98][1360/3757] lr: 1.000e-04 eta: 0:43:56 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.7595 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8452 loss: 0.8452 2022/06/29 06:24:21 - mmengine - INFO - Epoch(train) [98][1380/3757] lr: 1.000e-04 eta: 0:43:51 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 9.2561 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.3761 loss: 1.3761 2022/06/29 06:24:27 - mmengine - INFO - Epoch(train) [98][1400/3757] lr: 1.000e-04 eta: 0:43:45 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 9.9539 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1310 loss: 1.1310 2022/06/29 06:24:32 - mmengine - INFO - Epoch(train) [98][1420/3757] lr: 1.000e-04 eta: 0:43:40 time: 0.274 data_time: 0.008 memory: 5150 grad_norm: 8.7672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0583 loss: 1.0583 2022/06/29 06:24:37 - mmengine - INFO - Epoch(train) [98][1440/3757] lr: 1.000e-04 eta: 0:43:35 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 11.3097 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/06/29 06:24:43 - mmengine - INFO - Epoch(train) [98][1460/3757] lr: 1.000e-04 eta: 0:43:29 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 9.7253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4063 loss: 1.4063 2022/06/29 06:24:48 - mmengine - INFO - Epoch(train) [98][1480/3757] lr: 1.000e-04 eta: 0:43:24 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.0280 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2856 loss: 1.2856 2022/06/29 06:24:54 - mmengine - INFO - Epoch(train) [98][1500/3757] lr: 1.000e-04 eta: 0:43:19 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 11.6368 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7200 loss: 0.7200 2022/06/29 06:24:59 - mmengine - INFO - Epoch(train) [98][1520/3757] lr: 1.000e-04 eta: 0:43:13 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.9761 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/06/29 06:25:05 - mmengine - INFO - Epoch(train) [98][1540/3757] lr: 1.000e-04 eta: 0:43:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.1036 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0146 loss: 1.0146 2022/06/29 06:25:10 - mmengine - INFO - Epoch(train) [98][1560/3757] lr: 1.000e-04 eta: 0:43:03 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 9.3433 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2801 loss: 1.2801 2022/06/29 06:25:13 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:25:16 - mmengine - INFO - Epoch(train) [98][1580/3757] lr: 1.000e-04 eta: 0:42:58 time: 0.223 data_time: 0.009 memory: 5150 grad_norm: 9.1975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2138 loss: 1.2138 2022/06/29 06:25:21 - mmengine - INFO - Epoch(train) [98][1600/3757] lr: 1.000e-04 eta: 0:42:52 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 8.7995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9178 loss: 0.9178 2022/06/29 06:25:26 - mmengine - INFO - Epoch(train) [98][1620/3757] lr: 1.000e-04 eta: 0:42:47 time: 0.207 data_time: 0.009 memory: 5150 grad_norm: 9.4554 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0515 loss: 1.0515 2022/06/29 06:25:32 - mmengine - INFO - Epoch(train) [98][1640/3757] lr: 1.000e-04 eta: 0:42:42 time: 0.200 data_time: 0.012 memory: 5150 grad_norm: 7.9171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9806 loss: 0.9806 2022/06/29 06:25:37 - mmengine - INFO - Epoch(train) [98][1660/3757] lr: 1.000e-04 eta: 0:42:36 time: 0.202 data_time: 0.027 memory: 5150 grad_norm: 9.8762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9651 loss: 0.9651 2022/06/29 06:25:42 - mmengine - INFO - Epoch(train) [98][1680/3757] lr: 1.000e-04 eta: 0:42:31 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 9.1690 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/06/29 06:25:48 - mmengine - INFO - Epoch(train) [98][1700/3757] lr: 1.000e-04 eta: 0:42:26 time: 0.216 data_time: 0.008 memory: 5150 grad_norm: 10.1267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2838 loss: 1.2838 2022/06/29 06:25:53 - mmengine - INFO - Epoch(train) [98][1720/3757] lr: 1.000e-04 eta: 0:42:20 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 9.7483 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0472 loss: 1.0472 2022/06/29 06:25:57 - mmengine - INFO - Epoch(train) [98][1740/3757] lr: 1.000e-04 eta: 0:42:15 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.8146 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2664 loss: 1.2664 2022/06/29 06:26:03 - mmengine - INFO - Epoch(train) [98][1760/3757] lr: 1.000e-04 eta: 0:42:10 time: 0.192 data_time: 0.014 memory: 5150 grad_norm: 9.1204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5013 loss: 1.5013 2022/06/29 06:26:09 - mmengine - INFO - Epoch(train) [98][1780/3757] lr: 1.000e-04 eta: 0:42:04 time: 0.202 data_time: 0.010 memory: 5150 grad_norm: 10.0093 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0590 loss: 1.0590 2022/06/29 06:26:13 - mmengine - INFO - Epoch(train) [98][1800/3757] lr: 1.000e-04 eta: 0:41:59 time: 0.210 data_time: 0.010 memory: 5150 grad_norm: 9.1690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3231 loss: 1.3231 2022/06/29 06:26:19 - mmengine - INFO - Epoch(train) [98][1820/3757] lr: 1.000e-04 eta: 0:41:54 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 9.9223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0829 loss: 1.0829 2022/06/29 06:26:25 - mmengine - INFO - Epoch(train) [98][1840/3757] lr: 1.000e-04 eta: 0:41:48 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 11.6075 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0051 loss: 1.0051 2022/06/29 06:26:30 - mmengine - INFO - Epoch(train) [98][1860/3757] lr: 1.000e-04 eta: 0:41:43 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.0105 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1360 loss: 1.1360 2022/06/29 06:26:35 - mmengine - INFO - Epoch(train) [98][1880/3757] lr: 1.000e-04 eta: 0:41:38 time: 0.197 data_time: 0.017 memory: 5150 grad_norm: 9.5965 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3560 loss: 1.3560 2022/06/29 06:26:40 - mmengine - INFO - Epoch(train) [98][1900/3757] lr: 1.000e-04 eta: 0:41:32 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.3179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0854 loss: 1.0854 2022/06/29 06:26:45 - mmengine - INFO - Epoch(train) [98][1920/3757] lr: 1.000e-04 eta: 0:41:27 time: 0.197 data_time: 0.021 memory: 5150 grad_norm: 9.3221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/06/29 06:26:50 - mmengine - INFO - Epoch(train) [98][1940/3757] lr: 1.000e-04 eta: 0:41:22 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 8.5210 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2029 loss: 1.2029 2022/06/29 06:26:56 - mmengine - INFO - Epoch(train) [98][1960/3757] lr: 1.000e-04 eta: 0:41:16 time: 0.203 data_time: 0.012 memory: 5150 grad_norm: 7.8668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5343 loss: 1.5343 2022/06/29 06:27:01 - mmengine - INFO - Epoch(train) [98][1980/3757] lr: 1.000e-04 eta: 0:41:11 time: 0.211 data_time: 0.011 memory: 5150 grad_norm: 11.7015 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1899 loss: 1.1899 2022/06/29 06:27:07 - mmengine - INFO - Epoch(train) [98][2000/3757] lr: 1.000e-04 eta: 0:41:06 time: 0.554 data_time: 0.007 memory: 5150 grad_norm: 9.8059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/06/29 06:27:12 - mmengine - INFO - Epoch(train) [98][2020/3757] lr: 1.000e-04 eta: 0:41:00 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 11.1709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/06/29 06:27:18 - mmengine - INFO - Epoch(train) [98][2040/3757] lr: 1.000e-04 eta: 0:40:55 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1902 loss: 1.1902 2022/06/29 06:27:23 - mmengine - INFO - Epoch(train) [98][2060/3757] lr: 1.000e-04 eta: 0:40:50 time: 0.476 data_time: 0.012 memory: 5150 grad_norm: 9.8347 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2451 loss: 1.2451 2022/06/29 06:27:28 - mmengine - INFO - Epoch(train) [98][2080/3757] lr: 1.000e-04 eta: 0:40:44 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.1697 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8698 loss: 0.8698 2022/06/29 06:27:33 - mmengine - INFO - Epoch(train) [98][2100/3757] lr: 1.000e-04 eta: 0:40:39 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.1186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0953 loss: 1.0953 2022/06/29 06:27:38 - mmengine - INFO - Epoch(train) [98][2120/3757] lr: 1.000e-04 eta: 0:40:34 time: 0.225 data_time: 0.011 memory: 5150 grad_norm: 9.7249 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3764 loss: 1.3764 2022/06/29 06:27:44 - mmengine - INFO - Epoch(train) [98][2140/3757] lr: 1.000e-04 eta: 0:40:29 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.8704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2918 loss: 1.2918 2022/06/29 06:27:49 - mmengine - INFO - Epoch(train) [98][2160/3757] lr: 1.000e-04 eta: 0:40:23 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 9.7853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/06/29 06:27:55 - mmengine - INFO - Epoch(train) [98][2180/3757] lr: 1.000e-04 eta: 0:40:18 time: 0.346 data_time: 0.009 memory: 5150 grad_norm: 10.2712 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0856 loss: 1.0856 2022/06/29 06:28:00 - mmengine - INFO - Epoch(train) [98][2200/3757] lr: 1.000e-04 eta: 0:40:13 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 11.9289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2273 loss: 1.2273 2022/06/29 06:28:06 - mmengine - INFO - Epoch(train) [98][2220/3757] lr: 1.000e-04 eta: 0:40:07 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/06/29 06:28:11 - mmengine - INFO - Epoch(train) [98][2240/3757] lr: 1.000e-04 eta: 0:40:02 time: 0.694 data_time: 0.009 memory: 5150 grad_norm: 9.6575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9876 loss: 0.9876 2022/06/29 06:28:16 - mmengine - INFO - Epoch(train) [98][2260/3757] lr: 1.000e-04 eta: 0:39:57 time: 0.197 data_time: 0.011 memory: 5150 grad_norm: 8.4999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1167 loss: 1.1167 2022/06/29 06:28:21 - mmengine - INFO - Epoch(train) [98][2280/3757] lr: 1.000e-04 eta: 0:39:51 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.6224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2290 loss: 1.2290 2022/06/29 06:28:27 - mmengine - INFO - Epoch(train) [98][2300/3757] lr: 1.000e-04 eta: 0:39:46 time: 0.870 data_time: 0.008 memory: 5150 grad_norm: 8.6170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1384 loss: 1.1384 2022/06/29 06:28:32 - mmengine - INFO - Epoch(train) [98][2320/3757] lr: 1.000e-04 eta: 0:39:41 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.2513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3044 loss: 1.3044 2022/06/29 06:28:37 - mmengine - INFO - Epoch(train) [98][2340/3757] lr: 1.000e-04 eta: 0:39:35 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.6519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1936 loss: 1.1936 2022/06/29 06:28:43 - mmengine - INFO - Epoch(train) [98][2360/3757] lr: 1.000e-04 eta: 0:39:30 time: 0.982 data_time: 0.010 memory: 5150 grad_norm: 9.8836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0029 loss: 1.0029 2022/06/29 06:28:48 - mmengine - INFO - Epoch(train) [98][2380/3757] lr: 1.000e-04 eta: 0:39:25 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.8121 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/06/29 06:28:53 - mmengine - INFO - Epoch(train) [98][2400/3757] lr: 1.000e-04 eta: 0:39:19 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.2199 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8538 loss: 0.8538 2022/06/29 06:28:58 - mmengine - INFO - Epoch(train) [98][2420/3757] lr: 1.000e-04 eta: 0:39:14 time: 0.235 data_time: 0.008 memory: 5150 grad_norm: 8.5932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0955 loss: 1.0955 2022/06/29 06:29:04 - mmengine - INFO - Epoch(train) [98][2440/3757] lr: 1.000e-04 eta: 0:39:09 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.9461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1060 loss: 1.1060 2022/06/29 06:29:10 - mmengine - INFO - Epoch(train) [98][2460/3757] lr: 1.000e-04 eta: 0:39:03 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.9774 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4474 loss: 1.4474 2022/06/29 06:29:15 - mmengine - INFO - Epoch(train) [98][2480/3757] lr: 1.000e-04 eta: 0:38:58 time: 0.247 data_time: 0.007 memory: 5150 grad_norm: 10.3244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1112 loss: 1.1112 2022/06/29 06:29:20 - mmengine - INFO - Epoch(train) [98][2500/3757] lr: 1.000e-04 eta: 0:38:53 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 10.2238 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0037 loss: 1.0037 2022/06/29 06:29:25 - mmengine - INFO - Epoch(train) [98][2520/3757] lr: 1.000e-04 eta: 0:38:47 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 10.7505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1071 loss: 1.1071 2022/06/29 06:29:30 - mmengine - INFO - Epoch(train) [98][2540/3757] lr: 1.000e-04 eta: 0:38:42 time: 0.206 data_time: 0.011 memory: 5150 grad_norm: 7.9492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2349 loss: 1.2349 2022/06/29 06:29:35 - mmengine - INFO - Epoch(train) [98][2560/3757] lr: 1.000e-04 eta: 0:38:37 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.9817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0056 loss: 1.0056 2022/06/29 06:29:38 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:29:41 - mmengine - INFO - Epoch(train) [98][2580/3757] lr: 1.000e-04 eta: 0:38:31 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.6416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1338 loss: 1.1338 2022/06/29 06:29:46 - mmengine - INFO - Epoch(train) [98][2600/3757] lr: 1.000e-04 eta: 0:38:26 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.7329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9508 loss: 0.9508 2022/06/29 06:29:52 - mmengine - INFO - Epoch(train) [98][2620/3757] lr: 1.000e-04 eta: 0:38:21 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 8.6926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3962 loss: 1.3962 2022/06/29 06:29:57 - mmengine - INFO - Epoch(train) [98][2640/3757] lr: 1.000e-04 eta: 0:38:15 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 8.1172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8811 loss: 0.8811 2022/06/29 06:30:03 - mmengine - INFO - Epoch(train) [98][2660/3757] lr: 1.000e-04 eta: 0:38:10 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 10.7004 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.5453 loss: 1.5453 2022/06/29 06:30:08 - mmengine - INFO - Epoch(train) [98][2680/3757] lr: 1.000e-04 eta: 0:38:05 time: 0.209 data_time: 0.024 memory: 5150 grad_norm: 9.0218 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8156 loss: 0.8156 2022/06/29 06:30:13 - mmengine - INFO - Epoch(train) [98][2700/3757] lr: 1.000e-04 eta: 0:38:00 time: 0.218 data_time: 0.009 memory: 5150 grad_norm: 11.1600 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2526 loss: 1.2526 2022/06/29 06:30:19 - mmengine - INFO - Epoch(train) [98][2720/3757] lr: 1.000e-04 eta: 0:37:54 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 11.7285 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8930 loss: 0.8930 2022/06/29 06:30:24 - mmengine - INFO - Epoch(train) [98][2740/3757] lr: 1.000e-04 eta: 0:37:49 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 10.7258 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/06/29 06:30:30 - mmengine - INFO - Epoch(train) [98][2760/3757] lr: 1.000e-04 eta: 0:37:44 time: 0.812 data_time: 0.009 memory: 5150 grad_norm: 9.7321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0103 loss: 1.0103 2022/06/29 06:30:36 - mmengine - INFO - Epoch(train) [98][2780/3757] lr: 1.000e-04 eta: 0:37:38 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.3362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6987 loss: 0.6987 2022/06/29 06:30:40 - mmengine - INFO - Epoch(train) [98][2800/3757] lr: 1.000e-04 eta: 0:37:33 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 9.5153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0785 loss: 1.0785 2022/06/29 06:30:46 - mmengine - INFO - Epoch(train) [98][2820/3757] lr: 1.000e-04 eta: 0:37:28 time: 1.176 data_time: 0.010 memory: 5150 grad_norm: 9.6428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2198 loss: 1.2198 2022/06/29 06:30:51 - mmengine - INFO - Epoch(train) [98][2840/3757] lr: 1.000e-04 eta: 0:37:22 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 7.8049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/06/29 06:30:57 - mmengine - INFO - Epoch(train) [98][2860/3757] lr: 1.000e-04 eta: 0:37:17 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.1387 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1254 loss: 1.1254 2022/06/29 06:31:02 - mmengine - INFO - Epoch(train) [98][2880/3757] lr: 1.000e-04 eta: 0:37:12 time: 0.493 data_time: 0.012 memory: 5150 grad_norm: 8.0366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3014 loss: 1.3014 2022/06/29 06:31:07 - mmengine - INFO - Epoch(train) [98][2900/3757] lr: 1.000e-04 eta: 0:37:06 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 8.8729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/06/29 06:31:13 - mmengine - INFO - Epoch(train) [98][2920/3757] lr: 1.000e-04 eta: 0:37:01 time: 0.229 data_time: 0.011 memory: 5150 grad_norm: 10.4487 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6178 loss: 1.6178 2022/06/29 06:31:18 - mmengine - INFO - Epoch(train) [98][2940/3757] lr: 1.000e-04 eta: 0:36:56 time: 0.594 data_time: 0.007 memory: 5150 grad_norm: 8.9467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/06/29 06:31:23 - mmengine - INFO - Epoch(train) [98][2960/3757] lr: 1.000e-04 eta: 0:36:50 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 8.9852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3551 loss: 1.3551 2022/06/29 06:31:28 - mmengine - INFO - Epoch(train) [98][2980/3757] lr: 1.000e-04 eta: 0:36:45 time: 0.212 data_time: 0.012 memory: 5150 grad_norm: 8.1075 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0986 loss: 1.0986 2022/06/29 06:31:34 - mmengine - INFO - Epoch(train) [98][3000/3757] lr: 1.000e-04 eta: 0:36:40 time: 1.167 data_time: 0.008 memory: 5150 grad_norm: 10.2032 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5995 loss: 1.5995 2022/06/29 06:31:39 - mmengine - INFO - Epoch(train) [98][3020/3757] lr: 1.000e-04 eta: 0:36:34 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 9.6845 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0901 loss: 1.0901 2022/06/29 06:31:45 - mmengine - INFO - Epoch(train) [98][3040/3757] lr: 1.000e-04 eta: 0:36:29 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.1170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2013 loss: 1.2013 2022/06/29 06:31:50 - mmengine - INFO - Epoch(train) [98][3060/3757] lr: 1.000e-04 eta: 0:36:24 time: 0.956 data_time: 0.012 memory: 5150 grad_norm: 10.8574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9891 loss: 0.9891 2022/06/29 06:31:55 - mmengine - INFO - Epoch(train) [98][3080/3757] lr: 1.000e-04 eta: 0:36:18 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 6.7996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8519 loss: 0.8519 2022/06/29 06:32:01 - mmengine - INFO - Epoch(train) [98][3100/3757] lr: 1.000e-04 eta: 0:36:13 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 10.4244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3087 loss: 1.3087 2022/06/29 06:32:06 - mmengine - INFO - Epoch(train) [98][3120/3757] lr: 1.000e-04 eta: 0:36:08 time: 0.538 data_time: 0.020 memory: 5150 grad_norm: 9.7447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1042 loss: 1.1042 2022/06/29 06:32:11 - mmengine - INFO - Epoch(train) [98][3140/3757] lr: 1.000e-04 eta: 0:36:02 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 10.5314 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9578 loss: 0.9578 2022/06/29 06:32:16 - mmengine - INFO - Epoch(train) [98][3160/3757] lr: 1.000e-04 eta: 0:35:57 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.2204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0783 loss: 1.0783 2022/06/29 06:32:21 - mmengine - INFO - Epoch(train) [98][3180/3757] lr: 1.000e-04 eta: 0:35:52 time: 0.259 data_time: 0.013 memory: 5150 grad_norm: 10.0543 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3696 loss: 1.3696 2022/06/29 06:32:27 - mmengine - INFO - Epoch(train) [98][3200/3757] lr: 1.000e-04 eta: 0:35:47 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.5444 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4748 loss: 1.4748 2022/06/29 06:32:32 - mmengine - INFO - Epoch(train) [98][3220/3757] lr: 1.000e-04 eta: 0:35:41 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 10.8893 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3936 loss: 1.3936 2022/06/29 06:32:37 - mmengine - INFO - Epoch(train) [98][3240/3757] lr: 1.000e-04 eta: 0:35:36 time: 0.220 data_time: 0.019 memory: 5150 grad_norm: 8.3555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/06/29 06:32:43 - mmengine - INFO - Epoch(train) [98][3260/3757] lr: 1.000e-04 eta: 0:35:31 time: 0.194 data_time: 0.007 memory: 5150 grad_norm: 9.3304 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4171 loss: 1.4171 2022/06/29 06:32:48 - mmengine - INFO - Epoch(train) [98][3280/3757] lr: 1.000e-04 eta: 0:35:25 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 10.9096 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1289 loss: 1.1289 2022/06/29 06:32:53 - mmengine - INFO - Epoch(train) [98][3300/3757] lr: 1.000e-04 eta: 0:35:20 time: 0.316 data_time: 0.018 memory: 5150 grad_norm: 9.9220 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0701 loss: 1.0701 2022/06/29 06:32:58 - mmengine - INFO - Epoch(train) [98][3320/3757] lr: 1.000e-04 eta: 0:35:15 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.0675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9346 loss: 0.9346 2022/06/29 06:33:04 - mmengine - INFO - Epoch(train) [98][3340/3757] lr: 1.000e-04 eta: 0:35:09 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.6949 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0270 loss: 1.0270 2022/06/29 06:33:09 - mmengine - INFO - Epoch(train) [98][3360/3757] lr: 1.000e-04 eta: 0:35:04 time: 0.212 data_time: 0.014 memory: 5150 grad_norm: 9.7360 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.9911 loss: 0.9911 2022/06/29 06:33:14 - mmengine - INFO - Epoch(train) [98][3380/3757] lr: 1.000e-04 eta: 0:34:59 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.9709 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0890 loss: 1.0890 2022/06/29 06:33:19 - mmengine - INFO - Epoch(train) [98][3400/3757] lr: 1.000e-04 eta: 0:34:53 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.3789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/06/29 06:33:25 - mmengine - INFO - Epoch(train) [98][3420/3757] lr: 1.000e-04 eta: 0:34:48 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 10.1682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1908 loss: 1.1908 2022/06/29 06:33:30 - mmengine - INFO - Epoch(train) [98][3440/3757] lr: 1.000e-04 eta: 0:34:43 time: 0.194 data_time: 0.012 memory: 5150 grad_norm: 10.2212 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3554 loss: 1.3554 2022/06/29 06:33:36 - mmengine - INFO - Epoch(train) [98][3460/3757] lr: 1.000e-04 eta: 0:34:37 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.9518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1654 loss: 1.1654 2022/06/29 06:33:41 - mmengine - INFO - Epoch(train) [98][3480/3757] lr: 1.000e-04 eta: 0:34:32 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 9.9315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3781 loss: 1.3781 2022/06/29 06:33:46 - mmengine - INFO - Epoch(train) [98][3500/3757] lr: 1.000e-04 eta: 0:34:27 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.9679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1027 loss: 1.1027 2022/06/29 06:33:52 - mmengine - INFO - Epoch(train) [98][3520/3757] lr: 1.000e-04 eta: 0:34:21 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.6478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0344 loss: 1.0344 2022/06/29 06:33:57 - mmengine - INFO - Epoch(train) [98][3540/3757] lr: 1.000e-04 eta: 0:34:16 time: 0.833 data_time: 0.657 memory: 5150 grad_norm: 8.8945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0584 loss: 1.0584 2022/06/29 06:34:02 - mmengine - INFO - Epoch(train) [98][3560/3757] lr: 1.000e-04 eta: 0:34:11 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.2241 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9873 loss: 0.9873 2022/06/29 06:34:05 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:34:07 - mmengine - INFO - Epoch(train) [98][3580/3757] lr: 1.000e-04 eta: 0:34:05 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 9.5858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0781 loss: 1.0781 2022/06/29 06:34:13 - mmengine - INFO - Epoch(train) [98][3600/3757] lr: 1.000e-04 eta: 0:34:00 time: 0.953 data_time: 0.783 memory: 5150 grad_norm: 12.4592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4253 loss: 1.4253 2022/06/29 06:34:18 - mmengine - INFO - Epoch(train) [98][3620/3757] lr: 1.000e-04 eta: 0:33:55 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 10.7344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1891 loss: 1.1891 2022/06/29 06:34:23 - mmengine - INFO - Epoch(train) [98][3640/3757] lr: 1.000e-04 eta: 0:33:49 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.4279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0247 loss: 1.0247 2022/06/29 06:34:29 - mmengine - INFO - Epoch(train) [98][3660/3757] lr: 1.000e-04 eta: 0:33:44 time: 0.751 data_time: 0.577 memory: 5150 grad_norm: 8.6044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0210 loss: 1.0210 2022/06/29 06:34:34 - mmengine - INFO - Epoch(train) [98][3680/3757] lr: 1.000e-04 eta: 0:33:39 time: 0.198 data_time: 0.009 memory: 5150 grad_norm: 9.0965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/06/29 06:34:39 - mmengine - INFO - Epoch(train) [98][3700/3757] lr: 1.000e-04 eta: 0:33:34 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.8675 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3904 loss: 1.3904 2022/06/29 06:34:45 - mmengine - INFO - Epoch(train) [98][3720/3757] lr: 1.000e-04 eta: 0:33:28 time: 0.201 data_time: 0.031 memory: 5150 grad_norm: 9.0175 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2973 loss: 1.2973 2022/06/29 06:34:50 - mmengine - INFO - Epoch(train) [98][3740/3757] lr: 1.000e-04 eta: 0:33:23 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 7.9400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3725 loss: 1.3725 2022/06/29 06:34:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:35:27 - mmengine - INFO - Epoch(val) [98][20/310] eta: 0:05:38 time: 1.060 data_time: 0.401 memory: 9746 2022/06/29 06:35:49 - mmengine - INFO - Epoch(val) [98][40/310] eta: 0:04:57 time: 0.917 data_time: 0.285 memory: 9746 2022/06/29 06:36:12 - mmengine - INFO - Epoch(val) [98][60/310] eta: 0:04:23 time: 1.089 data_time: 0.481 memory: 9746 2022/06/29 06:36:36 - mmengine - INFO - Epoch(val) [98][80/310] eta: 0:05:00 time: 0.922 data_time: 0.258 memory: 9746 2022/06/29 06:36:59 - mmengine - INFO - Epoch(val) [98][100/310] eta: 0:04:11 time: 2.679 data_time: 2.013 memory: 9746 2022/06/29 06:37:20 - mmengine - INFO - Epoch(val) [98][120/310] eta: 0:03:20 time: 1.038 data_time: 0.410 memory: 9746 2022/06/29 06:37:44 - mmengine - INFO - Epoch(val) [98][140/310] eta: 0:03:16 time: 1.183 data_time: 0.521 memory: 9746 2022/06/29 06:38:09 - mmengine - INFO - Epoch(val) [98][160/310] eta: 0:03:17 time: 3.554 data_time: 2.867 memory: 9746 2022/06/29 06:38:32 - mmengine - INFO - Epoch(val) [98][180/310] eta: 0:02:50 time: 1.048 data_time: 0.406 memory: 9746 2022/06/29 06:38:55 - mmengine - INFO - Epoch(val) [98][200/310] eta: 0:02:08 time: 1.655 data_time: 0.460 memory: 9746 2022/06/29 06:39:15 - mmengine - INFO - Epoch(val) [98][220/310] eta: 0:01:36 time: 1.142 data_time: 0.481 memory: 9746 2022/06/29 06:39:38 - mmengine - INFO - Epoch(val) [98][240/310] eta: 0:01:20 time: 1.047 data_time: 0.402 memory: 9746 2022/06/29 06:40:01 - mmengine - INFO - Epoch(val) [98][260/310] eta: 0:00:59 time: 1.034 data_time: 0.390 memory: 9746 2022/06/29 06:40:24 - mmengine - INFO - Epoch(val) [98][280/310] eta: 0:00:33 time: 1.924 data_time: 1.222 memory: 9746 2022/06/29 06:40:43 - mmengine - INFO - Epoch(val) [98][300/310] eta: 0:00:08 time: 0.639 data_time: 0.072 memory: 9746 2022/06/29 06:40:55 - mmengine - INFO - Epoch(val) [98][310/310] acc/top1: 0.7235 acc/top5: 0.9048 acc/mean1: 0.7234 2022/06/29 06:41:04 - mmengine - INFO - Epoch(train) [99][20/3757] lr: 1.000e-04 eta: 0:33:13 time: 0.218 data_time: 0.008 memory: 9746 grad_norm: 8.5730 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/06/29 06:41:10 - mmengine - INFO - Epoch(train) [99][40/3757] lr: 1.000e-04 eta: 0:33:08 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 11.0047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9119 loss: 0.9119 2022/06/29 06:41:15 - mmengine - INFO - Epoch(train) [99][60/3757] lr: 1.000e-04 eta: 0:33:02 time: 0.205 data_time: 0.012 memory: 5150 grad_norm: 9.1521 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9398 loss: 0.9398 2022/06/29 06:41:20 - mmengine - INFO - Epoch(train) [99][80/3757] lr: 1.000e-04 eta: 0:32:57 time: 0.201 data_time: 0.009 memory: 5150 grad_norm: 9.3857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/06/29 06:41:26 - mmengine - INFO - Epoch(train) [99][100/3757] lr: 1.000e-04 eta: 0:32:52 time: 0.362 data_time: 0.007 memory: 5150 grad_norm: 10.2769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8463 loss: 0.8463 2022/06/29 06:41:31 - mmengine - INFO - Epoch(train) [99][120/3757] lr: 1.000e-04 eta: 0:32:46 time: 0.199 data_time: 0.009 memory: 5150 grad_norm: 9.2093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0349 loss: 1.0349 2022/06/29 06:41:36 - mmengine - INFO - Epoch(train) [99][140/3757] lr: 1.000e-04 eta: 0:32:41 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.4648 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0575 loss: 1.0575 2022/06/29 06:41:42 - mmengine - INFO - Epoch(train) [99][160/3757] lr: 1.000e-04 eta: 0:32:36 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.9521 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1788 loss: 1.1788 2022/06/29 06:41:47 - mmengine - INFO - Epoch(train) [99][180/3757] lr: 1.000e-04 eta: 0:32:30 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.9497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4127 loss: 1.4127 2022/06/29 06:41:53 - mmengine - INFO - Epoch(train) [99][200/3757] lr: 1.000e-04 eta: 0:32:25 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 9.5716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1136 loss: 1.1136 2022/06/29 06:41:58 - mmengine - INFO - Epoch(train) [99][220/3757] lr: 1.000e-04 eta: 0:32:20 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 10.8288 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1401 loss: 1.1401 2022/06/29 06:42:03 - mmengine - INFO - Epoch(train) [99][240/3757] lr: 1.000e-04 eta: 0:32:15 time: 0.225 data_time: 0.012 memory: 5150 grad_norm: 9.2026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8844 loss: 0.8844 2022/06/29 06:42:08 - mmengine - INFO - Epoch(train) [99][260/3757] lr: 1.000e-04 eta: 0:32:09 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 7.8854 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/06/29 06:42:14 - mmengine - INFO - Epoch(train) [99][280/3757] lr: 1.000e-04 eta: 0:32:04 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.5621 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/06/29 06:42:19 - mmengine - INFO - Epoch(train) [99][300/3757] lr: 1.000e-04 eta: 0:31:59 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.7283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/06/29 06:42:24 - mmengine - INFO - Epoch(train) [99][320/3757] lr: 1.000e-04 eta: 0:31:53 time: 0.201 data_time: 0.013 memory: 5150 grad_norm: 9.2539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0010 loss: 1.0010 2022/06/29 06:42:30 - mmengine - INFO - Epoch(train) [99][340/3757] lr: 1.000e-04 eta: 0:31:48 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.0616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/06/29 06:42:35 - mmengine - INFO - Epoch(train) [99][360/3757] lr: 1.000e-04 eta: 0:31:43 time: 0.200 data_time: 0.013 memory: 5150 grad_norm: 9.7052 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7453 loss: 0.7453 2022/06/29 06:42:41 - mmengine - INFO - Epoch(train) [99][380/3757] lr: 1.000e-04 eta: 0:31:37 time: 0.206 data_time: 0.010 memory: 5150 grad_norm: 11.9055 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2598 loss: 1.2598 2022/06/29 06:42:46 - mmengine - INFO - Epoch(train) [99][400/3757] lr: 1.000e-04 eta: 0:31:32 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.3288 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8741 loss: 0.8741 2022/06/29 06:42:51 - mmengine - INFO - Epoch(train) [99][420/3757] lr: 1.000e-04 eta: 0:31:27 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 8.5128 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2959 loss: 1.2959 2022/06/29 06:42:57 - mmengine - INFO - Epoch(train) [99][440/3757] lr: 1.000e-04 eta: 0:31:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.6137 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1062 loss: 1.1062 2022/06/29 06:43:02 - mmengine - INFO - Epoch(train) [99][460/3757] lr: 1.000e-04 eta: 0:31:16 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 9.9625 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2101 loss: 1.2101 2022/06/29 06:43:07 - mmengine - INFO - Epoch(train) [99][480/3757] lr: 1.000e-04 eta: 0:31:11 time: 0.202 data_time: 0.017 memory: 5150 grad_norm: 11.4615 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9684 loss: 0.9684 2022/06/29 06:43:13 - mmengine - INFO - Epoch(train) [99][500/3757] lr: 1.000e-04 eta: 0:31:05 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 7.3193 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1274 loss: 1.1274 2022/06/29 06:43:18 - mmengine - INFO - Epoch(train) [99][520/3757] lr: 1.000e-04 eta: 0:31:00 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 11.0432 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5427 loss: 1.5427 2022/06/29 06:43:23 - mmengine - INFO - Epoch(train) [99][540/3757] lr: 1.000e-04 eta: 0:30:55 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 7.8846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0993 loss: 1.0993 2022/06/29 06:43:29 - mmengine - INFO - Epoch(train) [99][560/3757] lr: 1.000e-04 eta: 0:30:49 time: 0.212 data_time: 0.008 memory: 5150 grad_norm: 9.8345 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3077 loss: 1.3077 2022/06/29 06:43:34 - mmengine - INFO - Epoch(train) [99][580/3757] lr: 1.000e-04 eta: 0:30:44 time: 0.260 data_time: 0.007 memory: 5150 grad_norm: 7.5241 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1363 loss: 1.1363 2022/06/29 06:43:39 - mmengine - INFO - Epoch(train) [99][600/3757] lr: 1.000e-04 eta: 0:30:39 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.8744 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2247 loss: 1.2247 2022/06/29 06:43:45 - mmengine - INFO - Epoch(train) [99][620/3757] lr: 1.000e-04 eta: 0:30:33 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 7.7759 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/06/29 06:43:50 - mmengine - INFO - Epoch(train) [99][640/3757] lr: 1.000e-04 eta: 0:30:28 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 9.0071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3914 loss: 1.3914 2022/06/29 06:43:55 - mmengine - INFO - Epoch(train) [99][660/3757] lr: 1.000e-04 eta: 0:30:23 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.1824 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/06/29 06:44:00 - mmengine - INFO - Epoch(train) [99][680/3757] lr: 1.000e-04 eta: 0:30:17 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 10.7436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8701 loss: 0.8701 2022/06/29 06:44:06 - mmengine - INFO - Epoch(train) [99][700/3757] lr: 1.000e-04 eta: 0:30:12 time: 0.244 data_time: 0.007 memory: 5150 grad_norm: 9.9865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2136 loss: 1.2136 2022/06/29 06:44:11 - mmengine - INFO - Epoch(train) [99][720/3757] lr: 1.000e-04 eta: 0:30:07 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.8345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3431 loss: 1.3431 2022/06/29 06:44:16 - mmengine - INFO - Epoch(train) [99][740/3757] lr: 1.000e-04 eta: 0:30:01 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.7412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9433 loss: 0.9433 2022/06/29 06:44:21 - mmengine - INFO - Epoch(train) [99][760/3757] lr: 1.000e-04 eta: 0:29:56 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.1922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7740 loss: 0.7740 2022/06/29 06:44:27 - mmengine - INFO - Epoch(train) [99][780/3757] lr: 1.000e-04 eta: 0:29:51 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 11.5426 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1415 loss: 1.1415 2022/06/29 06:44:32 - mmengine - INFO - Epoch(train) [99][800/3757] lr: 1.000e-04 eta: 0:29:46 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 11.3630 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7719 loss: 0.7719 2022/06/29 06:44:36 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:44:38 - mmengine - INFO - Epoch(train) [99][820/3757] lr: 1.000e-04 eta: 0:29:40 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.1914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/06/29 06:44:42 - mmengine - INFO - Epoch(train) [99][840/3757] lr: 1.000e-04 eta: 0:29:35 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 11.0933 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/06/29 06:44:48 - mmengine - INFO - Epoch(train) [99][860/3757] lr: 1.000e-04 eta: 0:29:30 time: 0.221 data_time: 0.013 memory: 5150 grad_norm: 7.2594 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4098 loss: 1.4098 2022/06/29 06:44:53 - mmengine - INFO - Epoch(train) [99][880/3757] lr: 1.000e-04 eta: 0:29:24 time: 0.227 data_time: 0.007 memory: 5150 grad_norm: 8.6513 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9372 loss: 0.9372 2022/06/29 06:44:59 - mmengine - INFO - Epoch(train) [99][900/3757] lr: 1.000e-04 eta: 0:29:19 time: 0.214 data_time: 0.017 memory: 5150 grad_norm: 10.4428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/06/29 06:45:04 - mmengine - INFO - Epoch(train) [99][920/3757] lr: 1.000e-04 eta: 0:29:14 time: 0.229 data_time: 0.011 memory: 5150 grad_norm: 8.2253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/06/29 06:45:10 - mmengine - INFO - Epoch(train) [99][940/3757] lr: 1.000e-04 eta: 0:29:08 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 10.3998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/06/29 06:45:15 - mmengine - INFO - Epoch(train) [99][960/3757] lr: 1.000e-04 eta: 0:29:03 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.9200 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1109 loss: 1.1109 2022/06/29 06:45:21 - mmengine - INFO - Epoch(train) [99][980/3757] lr: 1.000e-04 eta: 0:28:58 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 9.2643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1633 loss: 1.1633 2022/06/29 06:45:27 - mmengine - INFO - Epoch(train) [99][1000/3757] lr: 1.000e-04 eta: 0:28:52 time: 0.208 data_time: 0.006 memory: 5150 grad_norm: 11.0132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/06/29 06:45:31 - mmengine - INFO - Epoch(train) [99][1020/3757] lr: 1.000e-04 eta: 0:28:47 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 10.6728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1345 loss: 1.1345 2022/06/29 06:45:36 - mmengine - INFO - Epoch(train) [99][1040/3757] lr: 1.000e-04 eta: 0:28:42 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 10.9906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1682 loss: 1.1682 2022/06/29 06:45:42 - mmengine - INFO - Epoch(train) [99][1060/3757] lr: 1.000e-04 eta: 0:28:36 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.6268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6769 loss: 0.6769 2022/06/29 06:45:47 - mmengine - INFO - Epoch(train) [99][1080/3757] lr: 1.000e-04 eta: 0:28:31 time: 0.196 data_time: 0.008 memory: 5150 grad_norm: 8.8650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/06/29 06:45:52 - mmengine - INFO - Epoch(train) [99][1100/3757] lr: 1.000e-04 eta: 0:28:26 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 8.5481 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.1080 loss: 1.1080 2022/06/29 06:45:58 - mmengine - INFO - Epoch(train) [99][1120/3757] lr: 1.000e-04 eta: 0:28:20 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 10.2901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4505 loss: 1.4505 2022/06/29 06:46:03 - mmengine - INFO - Epoch(train) [99][1140/3757] lr: 1.000e-04 eta: 0:28:15 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 9.7921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4286 loss: 1.4286 2022/06/29 06:46:08 - mmengine - INFO - Epoch(train) [99][1160/3757] lr: 1.000e-04 eta: 0:28:10 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 8.2165 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2002 loss: 1.2002 2022/06/29 06:46:14 - mmengine - INFO - Epoch(train) [99][1180/3757] lr: 1.000e-04 eta: 0:28:04 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 8.1422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0519 loss: 1.0519 2022/06/29 06:46:19 - mmengine - INFO - Epoch(train) [99][1200/3757] lr: 1.000e-04 eta: 0:27:59 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 9.1630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/06/29 06:46:24 - mmengine - INFO - Epoch(train) [99][1220/3757] lr: 1.000e-04 eta: 0:27:54 time: 0.208 data_time: 0.010 memory: 5150 grad_norm: 11.4529 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3334 loss: 1.3334 2022/06/29 06:46:30 - mmengine - INFO - Epoch(train) [99][1240/3757] lr: 1.000e-04 eta: 0:27:48 time: 0.197 data_time: 0.009 memory: 5150 grad_norm: 11.5457 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 0.9741 loss: 0.9741 2022/06/29 06:46:34 - mmengine - INFO - Epoch(train) [99][1260/3757] lr: 1.000e-04 eta: 0:27:43 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.5910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1866 loss: 1.1866 2022/06/29 06:46:40 - mmengine - INFO - Epoch(train) [99][1280/3757] lr: 1.000e-04 eta: 0:27:38 time: 0.228 data_time: 0.008 memory: 5150 grad_norm: 10.2601 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/06/29 06:46:46 - mmengine - INFO - Epoch(train) [99][1300/3757] lr: 1.000e-04 eta: 0:27:33 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 8.6389 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/06/29 06:46:51 - mmengine - INFO - Epoch(train) [99][1320/3757] lr: 1.000e-04 eta: 0:27:27 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 11.1233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1431 loss: 1.1431 2022/06/29 06:46:56 - mmengine - INFO - Epoch(train) [99][1340/3757] lr: 1.000e-04 eta: 0:27:22 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.7454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2876 loss: 1.2876 2022/06/29 06:47:02 - mmengine - INFO - Epoch(train) [99][1360/3757] lr: 1.000e-04 eta: 0:27:17 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 9.6969 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/06/29 06:47:07 - mmengine - INFO - Epoch(train) [99][1380/3757] lr: 1.000e-04 eta: 0:27:11 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0792 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0763 loss: 1.0763 2022/06/29 06:47:13 - mmengine - INFO - Epoch(train) [99][1400/3757] lr: 1.000e-04 eta: 0:27:06 time: 0.233 data_time: 0.007 memory: 5150 grad_norm: 9.4163 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3219 loss: 1.3219 2022/06/29 06:47:18 - mmengine - INFO - Epoch(train) [99][1420/3757] lr: 1.000e-04 eta: 0:27:01 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 11.1803 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/06/29 06:47:23 - mmengine - INFO - Epoch(train) [99][1440/3757] lr: 1.000e-04 eta: 0:26:55 time: 0.240 data_time: 0.007 memory: 5150 grad_norm: 8.6870 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9910 loss: 0.9910 2022/06/29 06:47:28 - mmengine - INFO - Epoch(train) [99][1460/3757] lr: 1.000e-04 eta: 0:26:50 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 7.2900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/06/29 06:47:34 - mmengine - INFO - Epoch(train) [99][1480/3757] lr: 1.000e-04 eta: 0:26:45 time: 0.195 data_time: 0.007 memory: 5150 grad_norm: 11.2461 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1327 loss: 1.1327 2022/06/29 06:47:39 - mmengine - INFO - Epoch(train) [99][1500/3757] lr: 1.000e-04 eta: 0:26:39 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 7.9859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8613 loss: 0.8613 2022/06/29 06:47:44 - mmengine - INFO - Epoch(train) [99][1520/3757] lr: 1.000e-04 eta: 0:26:34 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 8.3129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3274 loss: 1.3274 2022/06/29 06:47:50 - mmengine - INFO - Epoch(train) [99][1540/3757] lr: 1.000e-04 eta: 0:26:29 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.2391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1773 loss: 1.1773 2022/06/29 06:47:55 - mmengine - INFO - Epoch(train) [99][1560/3757] lr: 1.000e-04 eta: 0:26:23 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.6189 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4468 loss: 1.4468 2022/06/29 06:48:00 - mmengine - INFO - Epoch(train) [99][1580/3757] lr: 1.000e-04 eta: 0:26:18 time: 0.207 data_time: 0.013 memory: 5150 grad_norm: 10.3900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1690 loss: 1.1690 2022/06/29 06:48:06 - mmengine - INFO - Epoch(train) [99][1600/3757] lr: 1.000e-04 eta: 0:26:13 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 8.9793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1413 loss: 1.1413 2022/06/29 06:48:12 - mmengine - INFO - Epoch(train) [99][1620/3757] lr: 1.000e-04 eta: 0:26:07 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.8336 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2561 loss: 1.2561 2022/06/29 06:48:16 - mmengine - INFO - Epoch(train) [99][1640/3757] lr: 1.000e-04 eta: 0:26:02 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.6156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/06/29 06:48:22 - mmengine - INFO - Epoch(train) [99][1660/3757] lr: 1.000e-04 eta: 0:25:57 time: 0.206 data_time: 0.026 memory: 5150 grad_norm: 8.9821 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9034 loss: 0.9034 2022/06/29 06:48:27 - mmengine - INFO - Epoch(train) [99][1680/3757] lr: 1.000e-04 eta: 0:25:51 time: 0.198 data_time: 0.011 memory: 5150 grad_norm: 11.2018 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3371 loss: 1.3371 2022/06/29 06:48:32 - mmengine - INFO - Epoch(train) [99][1700/3757] lr: 1.000e-04 eta: 0:25:46 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.9652 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0412 loss: 1.0412 2022/06/29 06:48:38 - mmengine - INFO - Epoch(train) [99][1720/3757] lr: 1.000e-04 eta: 0:25:41 time: 0.211 data_time: 0.018 memory: 5150 grad_norm: 8.7464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/06/29 06:48:43 - mmengine - INFO - Epoch(train) [99][1740/3757] lr: 1.000e-04 eta: 0:25:35 time: 0.199 data_time: 0.010 memory: 5150 grad_norm: 10.3523 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4289 loss: 1.4289 2022/06/29 06:48:48 - mmengine - INFO - Epoch(train) [99][1760/3757] lr: 1.000e-04 eta: 0:25:30 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.6148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3248 loss: 1.3248 2022/06/29 06:48:54 - mmengine - INFO - Epoch(train) [99][1780/3757] lr: 1.000e-04 eta: 0:25:25 time: 0.201 data_time: 0.022 memory: 5150 grad_norm: 10.8194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9915 loss: 0.9915 2022/06/29 06:48:59 - mmengine - INFO - Epoch(train) [99][1800/3757] lr: 1.000e-04 eta: 0:25:20 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 8.8852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0254 loss: 1.0254 2022/06/29 06:49:03 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:49:05 - mmengine - INFO - Epoch(train) [99][1820/3757] lr: 1.000e-04 eta: 0:25:14 time: 0.276 data_time: 0.007 memory: 5150 grad_norm: 9.5230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/06/29 06:49:10 - mmengine - INFO - Epoch(train) [99][1840/3757] lr: 1.000e-04 eta: 0:25:09 time: 0.203 data_time: 0.017 memory: 5150 grad_norm: 9.0213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1777 loss: 1.1777 2022/06/29 06:49:15 - mmengine - INFO - Epoch(train) [99][1860/3757] lr: 1.000e-04 eta: 0:25:04 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.8727 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2379 loss: 1.2379 2022/06/29 06:49:20 - mmengine - INFO - Epoch(train) [99][1880/3757] lr: 1.000e-04 eta: 0:24:58 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.6992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/06/29 06:49:26 - mmengine - INFO - Epoch(train) [99][1900/3757] lr: 1.000e-04 eta: 0:24:53 time: 0.215 data_time: 0.015 memory: 5150 grad_norm: 10.4862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/06/29 06:49:30 - mmengine - INFO - Epoch(train) [99][1920/3757] lr: 1.000e-04 eta: 0:24:48 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 10.2745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2691 loss: 1.2691 2022/06/29 06:49:36 - mmengine - INFO - Epoch(train) [99][1940/3757] lr: 1.000e-04 eta: 0:24:42 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.8989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1176 loss: 1.1176 2022/06/29 06:49:41 - mmengine - INFO - Epoch(train) [99][1960/3757] lr: 1.000e-04 eta: 0:24:37 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 9.5076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1811 loss: 1.1811 2022/06/29 06:49:46 - mmengine - INFO - Epoch(train) [99][1980/3757] lr: 1.000e-04 eta: 0:24:32 time: 0.212 data_time: 0.018 memory: 5150 grad_norm: 10.7403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/06/29 06:49:52 - mmengine - INFO - Epoch(train) [99][2000/3757] lr: 1.000e-04 eta: 0:24:26 time: 0.221 data_time: 0.012 memory: 5150 grad_norm: 8.6317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2933 loss: 1.2933 2022/06/29 06:49:58 - mmengine - INFO - Epoch(train) [99][2020/3757] lr: 1.000e-04 eta: 0:24:21 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.8930 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2494 loss: 1.2494 2022/06/29 06:50:03 - mmengine - INFO - Epoch(train) [99][2040/3757] lr: 1.000e-04 eta: 0:24:16 time: 0.208 data_time: 0.011 memory: 5150 grad_norm: 10.0309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2904 loss: 1.2904 2022/06/29 06:50:09 - mmengine - INFO - Epoch(train) [99][2060/3757] lr: 1.000e-04 eta: 0:24:10 time: 0.211 data_time: 0.022 memory: 5150 grad_norm: 9.0095 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9282 loss: 0.9282 2022/06/29 06:50:14 - mmengine - INFO - Epoch(train) [99][2080/3757] lr: 1.000e-04 eta: 0:24:05 time: 0.206 data_time: 0.012 memory: 5150 grad_norm: 11.2096 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4859 loss: 1.4859 2022/06/29 06:50:19 - mmengine - INFO - Epoch(train) [99][2100/3757] lr: 1.000e-04 eta: 0:24:00 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 7.6871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/06/29 06:50:24 - mmengine - INFO - Epoch(train) [99][2120/3757] lr: 1.000e-04 eta: 0:23:54 time: 0.212 data_time: 0.010 memory: 5150 grad_norm: 9.4182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/06/29 06:50:30 - mmengine - INFO - Epoch(train) [99][2140/3757] lr: 1.000e-04 eta: 0:23:49 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.4641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0642 loss: 1.0642 2022/06/29 06:50:35 - mmengine - INFO - Epoch(train) [99][2160/3757] lr: 1.000e-04 eta: 0:23:44 time: 0.216 data_time: 0.007 memory: 5150 grad_norm: 10.3798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/06/29 06:50:40 - mmengine - INFO - Epoch(train) [99][2180/3757] lr: 1.000e-04 eta: 0:23:38 time: 0.202 data_time: 0.019 memory: 5150 grad_norm: 8.3624 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1239 loss: 1.1239 2022/06/29 06:50:46 - mmengine - INFO - Epoch(train) [99][2200/3757] lr: 1.000e-04 eta: 0:23:33 time: 0.205 data_time: 0.015 memory: 5150 grad_norm: 10.0794 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2821 loss: 1.2821 2022/06/29 06:50:51 - mmengine - INFO - Epoch(train) [99][2220/3757] lr: 1.000e-04 eta: 0:23:28 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 9.2699 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2588 loss: 1.2588 2022/06/29 06:50:57 - mmengine - INFO - Epoch(train) [99][2240/3757] lr: 1.000e-04 eta: 0:23:22 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 9.8463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0709 loss: 1.0709 2022/06/29 06:51:02 - mmengine - INFO - Epoch(train) [99][2260/3757] lr: 1.000e-04 eta: 0:23:17 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 8.9480 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4717 loss: 1.4717 2022/06/29 06:51:06 - mmengine - INFO - Epoch(train) [99][2280/3757] lr: 1.000e-04 eta: 0:23:12 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 11.3804 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1559 loss: 1.1559 2022/06/29 06:51:12 - mmengine - INFO - Epoch(train) [99][2300/3757] lr: 1.000e-04 eta: 0:23:07 time: 0.214 data_time: 0.012 memory: 5150 grad_norm: 11.2297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/06/29 06:51:18 - mmengine - INFO - Epoch(train) [99][2320/3757] lr: 1.000e-04 eta: 0:23:01 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.3457 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1357 loss: 1.1357 2022/06/29 06:51:23 - mmengine - INFO - Epoch(train) [99][2340/3757] lr: 1.000e-04 eta: 0:22:56 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 10.1048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4009 loss: 1.4009 2022/06/29 06:51:28 - mmengine - INFO - Epoch(train) [99][2360/3757] lr: 1.000e-04 eta: 0:22:51 time: 0.210 data_time: 0.015 memory: 5150 grad_norm: 11.3093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/06/29 06:51:34 - mmengine - INFO - Epoch(train) [99][2380/3757] lr: 1.000e-04 eta: 0:22:45 time: 0.198 data_time: 0.007 memory: 5150 grad_norm: 7.7224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/06/29 06:51:38 - mmengine - INFO - Epoch(train) [99][2400/3757] lr: 1.000e-04 eta: 0:22:40 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.5732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0561 loss: 1.0561 2022/06/29 06:51:44 - mmengine - INFO - Epoch(train) [99][2420/3757] lr: 1.000e-04 eta: 0:22:35 time: 0.198 data_time: 0.014 memory: 5150 grad_norm: 8.9634 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9577 loss: 0.9577 2022/06/29 06:51:49 - mmengine - INFO - Epoch(train) [99][2440/3757] lr: 1.000e-04 eta: 0:22:29 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.6701 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5370 loss: 1.5370 2022/06/29 06:51:55 - mmengine - INFO - Epoch(train) [99][2460/3757] lr: 1.000e-04 eta: 0:22:24 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.8907 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1099 loss: 1.1099 2022/06/29 06:52:00 - mmengine - INFO - Epoch(train) [99][2480/3757] lr: 1.000e-04 eta: 0:22:19 time: 0.207 data_time: 0.015 memory: 5150 grad_norm: 10.0363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/06/29 06:52:05 - mmengine - INFO - Epoch(train) [99][2500/3757] lr: 1.000e-04 eta: 0:22:13 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.1611 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3856 loss: 1.3856 2022/06/29 06:52:11 - mmengine - INFO - Epoch(train) [99][2520/3757] lr: 1.000e-04 eta: 0:22:08 time: 0.192 data_time: 0.011 memory: 5150 grad_norm: 7.5656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0027 loss: 1.0027 2022/06/29 06:52:16 - mmengine - INFO - Epoch(train) [99][2540/3757] lr: 1.000e-04 eta: 0:22:03 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.0087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3308 loss: 1.3308 2022/06/29 06:52:21 - mmengine - INFO - Epoch(train) [99][2560/3757] lr: 1.000e-04 eta: 0:21:57 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.9031 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1019 loss: 1.1019 2022/06/29 06:52:26 - mmengine - INFO - Epoch(train) [99][2580/3757] lr: 1.000e-04 eta: 0:21:52 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.5058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0720 loss: 1.0720 2022/06/29 06:52:31 - mmengine - INFO - Epoch(train) [99][2600/3757] lr: 1.000e-04 eta: 0:21:47 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 10.1762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2865 loss: 1.2865 2022/06/29 06:52:37 - mmengine - INFO - Epoch(train) [99][2620/3757] lr: 1.000e-04 eta: 0:21:41 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 8.7919 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2666 loss: 1.2666 2022/06/29 06:52:43 - mmengine - INFO - Epoch(train) [99][2640/3757] lr: 1.000e-04 eta: 0:21:36 time: 0.209 data_time: 0.016 memory: 5150 grad_norm: 9.4145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7247 loss: 0.7247 2022/06/29 06:52:48 - mmengine - INFO - Epoch(train) [99][2660/3757] lr: 1.000e-04 eta: 0:21:31 time: 0.214 data_time: 0.007 memory: 5150 grad_norm: 9.8760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0791 loss: 1.0791 2022/06/29 06:52:53 - mmengine - INFO - Epoch(train) [99][2680/3757] lr: 1.000e-04 eta: 0:21:25 time: 0.207 data_time: 0.012 memory: 5150 grad_norm: 7.7433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8469 loss: 0.8469 2022/06/29 06:52:59 - mmengine - INFO - Epoch(train) [99][2700/3757] lr: 1.000e-04 eta: 0:21:20 time: 0.203 data_time: 0.013 memory: 5150 grad_norm: 8.3445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9721 loss: 0.9721 2022/06/29 06:53:03 - mmengine - INFO - Epoch(train) [99][2720/3757] lr: 1.000e-04 eta: 0:21:15 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.2518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/06/29 06:53:09 - mmengine - INFO - Epoch(train) [99][2740/3757] lr: 1.000e-04 eta: 0:21:09 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.7334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0596 loss: 1.0596 2022/06/29 06:53:14 - mmengine - INFO - Epoch(train) [99][2760/3757] lr: 1.000e-04 eta: 0:21:04 time: 0.220 data_time: 0.017 memory: 5150 grad_norm: 9.8038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8813 loss: 0.8813 2022/06/29 06:53:19 - mmengine - INFO - Epoch(train) [99][2780/3757] lr: 1.000e-04 eta: 0:20:59 time: 0.204 data_time: 0.008 memory: 5150 grad_norm: 8.9736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/06/29 06:53:25 - mmengine - INFO - Epoch(train) [99][2800/3757] lr: 1.000e-04 eta: 0:20:53 time: 0.289 data_time: 0.007 memory: 5150 grad_norm: 7.1525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8719 loss: 0.8719 2022/06/29 06:53:28 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:53:30 - mmengine - INFO - Epoch(train) [99][2820/3757] lr: 1.000e-04 eta: 0:20:48 time: 0.482 data_time: 0.015 memory: 5150 grad_norm: 9.2217 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0636 loss: 1.0636 2022/06/29 06:53:35 - mmengine - INFO - Epoch(train) [99][2840/3757] lr: 1.000e-04 eta: 0:20:43 time: 0.272 data_time: 0.008 memory: 5150 grad_norm: 10.4648 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2678 loss: 1.2678 2022/06/29 06:53:41 - mmengine - INFO - Epoch(train) [99][2860/3757] lr: 1.000e-04 eta: 0:20:38 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 11.7965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/06/29 06:53:46 - mmengine - INFO - Epoch(train) [99][2880/3757] lr: 1.000e-04 eta: 0:20:32 time: 0.233 data_time: 0.021 memory: 5150 grad_norm: 9.1306 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9926 loss: 0.9926 2022/06/29 06:53:52 - mmengine - INFO - Epoch(train) [99][2900/3757] lr: 1.000e-04 eta: 0:20:27 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 8.3539 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8880 loss: 0.8880 2022/06/29 06:53:57 - mmengine - INFO - Epoch(train) [99][2920/3757] lr: 1.000e-04 eta: 0:20:22 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.3224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0341 loss: 1.0341 2022/06/29 06:54:02 - mmengine - INFO - Epoch(train) [99][2940/3757] lr: 1.000e-04 eta: 0:20:16 time: 0.211 data_time: 0.019 memory: 5150 grad_norm: 8.8992 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/06/29 06:54:07 - mmengine - INFO - Epoch(train) [99][2960/3757] lr: 1.000e-04 eta: 0:20:11 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.1836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0133 loss: 1.0133 2022/06/29 06:54:13 - mmengine - INFO - Epoch(train) [99][2980/3757] lr: 1.000e-04 eta: 0:20:06 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 7.7334 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0513 loss: 1.0513 2022/06/29 06:54:18 - mmengine - INFO - Epoch(train) [99][3000/3757] lr: 1.000e-04 eta: 0:20:00 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 9.1782 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9352 loss: 0.9352 2022/06/29 06:54:24 - mmengine - INFO - Epoch(train) [99][3020/3757] lr: 1.000e-04 eta: 0:19:55 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 7.1294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1148 loss: 1.1148 2022/06/29 06:54:29 - mmengine - INFO - Epoch(train) [99][3040/3757] lr: 1.000e-04 eta: 0:19:50 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.6334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/06/29 06:54:35 - mmengine - INFO - Epoch(train) [99][3060/3757] lr: 1.000e-04 eta: 0:19:44 time: 0.208 data_time: 0.022 memory: 5150 grad_norm: 10.1446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/06/29 06:54:39 - mmengine - INFO - Epoch(train) [99][3080/3757] lr: 1.000e-04 eta: 0:19:39 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.0237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/06/29 06:54:45 - mmengine - INFO - Epoch(train) [99][3100/3757] lr: 1.000e-04 eta: 0:19:34 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.5143 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8734 loss: 0.8734 2022/06/29 06:54:50 - mmengine - INFO - Epoch(train) [99][3120/3757] lr: 1.000e-04 eta: 0:19:28 time: 0.205 data_time: 0.016 memory: 5150 grad_norm: 8.3079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/06/29 06:54:55 - mmengine - INFO - Epoch(train) [99][3140/3757] lr: 1.000e-04 eta: 0:19:23 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.2761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2587 loss: 1.2587 2022/06/29 06:55:01 - mmengine - INFO - Epoch(train) [99][3160/3757] lr: 1.000e-04 eta: 0:19:18 time: 0.208 data_time: 0.007 memory: 5150 grad_norm: 10.5307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4388 loss: 1.4388 2022/06/29 06:55:06 - mmengine - INFO - Epoch(train) [99][3180/3757] lr: 1.000e-04 eta: 0:19:12 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 10.7393 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9534 loss: 0.9534 2022/06/29 06:55:12 - mmengine - INFO - Epoch(train) [99][3200/3757] lr: 1.000e-04 eta: 0:19:07 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/06/29 06:55:17 - mmengine - INFO - Epoch(train) [99][3220/3757] lr: 1.000e-04 eta: 0:19:02 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 9.4263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0007 loss: 1.0007 2022/06/29 06:55:22 - mmengine - INFO - Epoch(train) [99][3240/3757] lr: 1.000e-04 eta: 0:18:56 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 10.3695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1443 loss: 1.1443 2022/06/29 06:55:28 - mmengine - INFO - Epoch(train) [99][3260/3757] lr: 1.000e-04 eta: 0:18:51 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 9.3553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0263 loss: 1.0263 2022/06/29 06:55:33 - mmengine - INFO - Epoch(train) [99][3280/3757] lr: 1.000e-04 eta: 0:18:46 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.7017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3737 loss: 1.3737 2022/06/29 06:55:38 - mmengine - INFO - Epoch(train) [99][3300/3757] lr: 1.000e-04 eta: 0:18:40 time: 0.215 data_time: 0.011 memory: 5150 grad_norm: 10.1160 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0288 loss: 1.0288 2022/06/29 06:55:43 - mmengine - INFO - Epoch(train) [99][3320/3757] lr: 1.000e-04 eta: 0:18:35 time: 0.218 data_time: 0.011 memory: 5150 grad_norm: 11.7704 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2008 loss: 1.2008 2022/06/29 06:55:49 - mmengine - INFO - Epoch(train) [99][3340/3757] lr: 1.000e-04 eta: 0:18:30 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.4876 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9714 loss: 0.9714 2022/06/29 06:55:54 - mmengine - INFO - Epoch(train) [99][3360/3757] lr: 1.000e-04 eta: 0:18:25 time: 0.715 data_time: 0.010 memory: 5150 grad_norm: 9.4842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2583 loss: 1.2583 2022/06/29 06:55:59 - mmengine - INFO - Epoch(train) [99][3380/3757] lr: 1.000e-04 eta: 0:18:19 time: 0.206 data_time: 0.014 memory: 5150 grad_norm: 9.9483 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1033 loss: 1.1033 2022/06/29 06:56:05 - mmengine - INFO - Epoch(train) [99][3400/3757] lr: 1.000e-04 eta: 0:18:14 time: 0.311 data_time: 0.009 memory: 5150 grad_norm: 10.2266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3392 loss: 1.3392 2022/06/29 06:56:10 - mmengine - INFO - Epoch(train) [99][3420/3757] lr: 1.000e-04 eta: 0:18:09 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 10.9506 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8980 loss: 0.8980 2022/06/29 06:56:15 - mmengine - INFO - Epoch(train) [99][3440/3757] lr: 1.000e-04 eta: 0:18:03 time: 0.313 data_time: 0.017 memory: 5150 grad_norm: 9.2526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1715 loss: 1.1715 2022/06/29 06:56:21 - mmengine - INFO - Epoch(train) [99][3460/3757] lr: 1.000e-04 eta: 0:17:58 time: 0.221 data_time: 0.015 memory: 5150 grad_norm: 10.0623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2518 loss: 1.2518 2022/06/29 06:56:26 - mmengine - INFO - Epoch(train) [99][3480/3757] lr: 1.000e-04 eta: 0:17:53 time: 0.238 data_time: 0.016 memory: 5150 grad_norm: 9.2761 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0220 loss: 1.0220 2022/06/29 06:56:32 - mmengine - INFO - Epoch(train) [99][3500/3757] lr: 1.000e-04 eta: 0:17:47 time: 0.208 data_time: 0.015 memory: 5150 grad_norm: 12.0219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0386 loss: 1.0386 2022/06/29 06:56:37 - mmengine - INFO - Epoch(train) [99][3520/3757] lr: 1.000e-04 eta: 0:17:42 time: 0.201 data_time: 0.010 memory: 5150 grad_norm: 8.4603 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1717 loss: 1.1717 2022/06/29 06:56:42 - mmengine - INFO - Epoch(train) [99][3540/3757] lr: 1.000e-04 eta: 0:17:37 time: 0.217 data_time: 0.008 memory: 5150 grad_norm: 8.5754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0153 loss: 1.0153 2022/06/29 06:56:47 - mmengine - INFO - Epoch(train) [99][3560/3757] lr: 1.000e-04 eta: 0:17:31 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.9688 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3703 loss: 1.3703 2022/06/29 06:56:53 - mmengine - INFO - Epoch(train) [99][3580/3757] lr: 1.000e-04 eta: 0:17:26 time: 0.205 data_time: 0.017 memory: 5150 grad_norm: 8.1872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3795 loss: 1.3795 2022/06/29 06:56:59 - mmengine - INFO - Epoch(train) [99][3600/3757] lr: 1.000e-04 eta: 0:17:21 time: 0.223 data_time: 0.007 memory: 5150 grad_norm: 9.6388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6624 loss: 1.6624 2022/06/29 06:57:04 - mmengine - INFO - Epoch(train) [99][3620/3757] lr: 1.000e-04 eta: 0:17:15 time: 0.218 data_time: 0.044 memory: 5150 grad_norm: 7.9468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2273 loss: 1.2273 2022/06/29 06:57:09 - mmengine - INFO - Epoch(train) [99][3640/3757] lr: 1.000e-04 eta: 0:17:10 time: 0.201 data_time: 0.007 memory: 5150 grad_norm: 8.6930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1400 loss: 1.1400 2022/06/29 06:57:14 - mmengine - INFO - Epoch(train) [99][3660/3757] lr: 1.000e-04 eta: 0:17:05 time: 0.205 data_time: 0.014 memory: 5150 grad_norm: 11.8248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3459 loss: 1.3459 2022/06/29 06:57:19 - mmengine - INFO - Epoch(train) [99][3680/3757] lr: 1.000e-04 eta: 0:16:59 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 10.5512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/06/29 06:57:25 - mmengine - INFO - Epoch(train) [99][3700/3757] lr: 1.000e-04 eta: 0:16:54 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 8.7661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4569 loss: 1.4569 2022/06/29 06:57:30 - mmengine - INFO - Epoch(train) [99][3720/3757] lr: 1.000e-04 eta: 0:16:49 time: 0.209 data_time: 0.015 memory: 5150 grad_norm: 9.3386 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3362 loss: 1.3362 2022/06/29 06:57:35 - mmengine - INFO - Epoch(train) [99][3740/3757] lr: 1.000e-04 eta: 0:16:43 time: 0.233 data_time: 0.009 memory: 5150 grad_norm: 7.4568 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4258 loss: 1.4258 2022/06/29 06:57:39 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 06:58:11 - mmengine - INFO - Epoch(val) [99][20/310] eta: 0:05:39 time: 0.977 data_time: 0.323 memory: 9746 2022/06/29 06:58:34 - mmengine - INFO - Epoch(val) [99][40/310] eta: 0:05:01 time: 1.037 data_time: 0.396 memory: 9746 2022/06/29 06:58:57 - mmengine - INFO - Epoch(val) [99][60/310] eta: 0:04:26 time: 1.167 data_time: 0.498 memory: 9746 2022/06/29 06:59:21 - mmengine - INFO - Epoch(val) [99][80/310] eta: 0:05:02 time: 1.026 data_time: 0.373 memory: 9746 2022/06/29 06:59:45 - mmengine - INFO - Epoch(val) [99][100/310] eta: 0:04:13 time: 2.900 data_time: 2.210 memory: 9746 2022/06/29 07:00:05 - mmengine - INFO - Epoch(val) [99][120/310] eta: 0:03:18 time: 1.116 data_time: 0.473 memory: 9746 2022/06/29 07:00:29 - mmengine - INFO - Epoch(val) [99][140/310] eta: 0:03:08 time: 0.931 data_time: 0.281 memory: 9746 2022/06/29 07:00:55 - mmengine - INFO - Epoch(val) [99][160/310] eta: 0:03:23 time: 3.720 data_time: 3.028 memory: 9746 2022/06/29 07:01:17 - mmengine - INFO - Epoch(val) [99][180/310] eta: 0:02:38 time: 1.026 data_time: 0.368 memory: 9746 2022/06/29 07:01:40 - mmengine - INFO - Epoch(val) [99][200/310] eta: 0:02:08 time: 1.131 data_time: 0.497 memory: 9746 2022/06/29 07:02:01 - mmengine - INFO - Epoch(val) [99][220/310] eta: 0:01:35 time: 1.201 data_time: 0.548 memory: 9746 2022/06/29 07:02:23 - mmengine - INFO - Epoch(val) [99][240/310] eta: 0:01:13 time: 1.011 data_time: 0.353 memory: 9746 2022/06/29 07:02:45 - mmengine - INFO - Epoch(val) [99][260/310] eta: 0:00:59 time: 1.114 data_time: 0.460 memory: 9746 2022/06/29 07:03:08 - mmengine - INFO - Epoch(val) [99][280/310] eta: 0:00:34 time: 1.863 data_time: 1.205 memory: 9746 2022/06/29 07:03:28 - mmengine - INFO - Epoch(val) [99][300/310] eta: 0:00:09 time: 0.741 data_time: 0.127 memory: 9746 2022/06/29 07:03:42 - mmengine - INFO - Epoch(val) [99][310/310] acc/top1: 0.7221 acc/top5: 0.9064 acc/mean1: 0.7220 2022/06/29 07:03:51 - mmengine - INFO - Epoch(train) [100][20/3757] lr: 1.000e-04 eta: 0:16:34 time: 0.209 data_time: 0.008 memory: 9746 grad_norm: 8.6784 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0143 loss: 1.0143 2022/06/29 07:03:57 - mmengine - INFO - Epoch(train) [100][40/3757] lr: 1.000e-04 eta: 0:16:28 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 8.3639 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2078 loss: 1.2078 2022/06/29 07:04:01 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 07:04:01 - mmengine - INFO - Epoch(train) [100][60/3757] lr: 1.000e-04 eta: 0:16:23 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.1407 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4042 loss: 1.4042 2022/06/29 07:04:08 - mmengine - INFO - Epoch(train) [100][80/3757] lr: 1.000e-04 eta: 0:16:18 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 8.1673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1751 loss: 1.1751 2022/06/29 07:04:12 - mmengine - INFO - Epoch(train) [100][100/3757] lr: 1.000e-04 eta: 0:16:12 time: 0.218 data_time: 0.007 memory: 5150 grad_norm: 8.7100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1791 loss: 1.1791 2022/06/29 07:04:17 - mmengine - INFO - Epoch(train) [100][120/3757] lr: 1.000e-04 eta: 0:16:07 time: 0.199 data_time: 0.007 memory: 5150 grad_norm: 8.7271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9406 loss: 0.9406 2022/06/29 07:04:23 - mmengine - INFO - Epoch(train) [100][140/3757] lr: 1.000e-04 eta: 0:16:02 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 7.8064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9201 loss: 0.9201 2022/06/29 07:04:29 - mmengine - INFO - Epoch(train) [100][160/3757] lr: 1.000e-04 eta: 0:15:56 time: 0.229 data_time: 0.008 memory: 5150 grad_norm: 9.1243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2066 loss: 1.2066 2022/06/29 07:04:33 - mmengine - INFO - Epoch(train) [100][180/3757] lr: 1.000e-04 eta: 0:15:51 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.6873 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9755 loss: 0.9755 2022/06/29 07:04:39 - mmengine - INFO - Epoch(train) [100][200/3757] lr: 1.000e-04 eta: 0:15:46 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5682 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3859 loss: 1.3859 2022/06/29 07:04:44 - mmengine - INFO - Epoch(train) [100][220/3757] lr: 1.000e-04 eta: 0:15:40 time: 0.222 data_time: 0.008 memory: 5150 grad_norm: 10.5507 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1434 loss: 1.1434 2022/06/29 07:04:49 - mmengine - INFO - Epoch(train) [100][240/3757] lr: 1.000e-04 eta: 0:15:35 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 9.7078 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2081 loss: 1.2081 2022/06/29 07:04:55 - mmengine - INFO - Epoch(train) [100][260/3757] lr: 1.000e-04 eta: 0:15:30 time: 0.197 data_time: 0.008 memory: 5150 grad_norm: 11.4945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9464 loss: 0.9464 2022/06/29 07:05:01 - mmengine - INFO - Epoch(train) [100][280/3757] lr: 1.000e-04 eta: 0:15:24 time: 0.210 data_time: 0.009 memory: 5150 grad_norm: 11.1931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4675 loss: 1.4675 2022/06/29 07:05:06 - mmengine - INFO - Epoch(train) [100][300/3757] lr: 1.000e-04 eta: 0:15:19 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 11.0694 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4214 loss: 1.4214 2022/06/29 07:05:11 - mmengine - INFO - Epoch(train) [100][320/3757] lr: 1.000e-04 eta: 0:15:14 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 8.8889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0188 loss: 1.0188 2022/06/29 07:05:17 - mmengine - INFO - Epoch(train) [100][340/3757] lr: 1.000e-04 eta: 0:15:08 time: 0.204 data_time: 0.009 memory: 5150 grad_norm: 8.7770 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0674 loss: 1.0674 2022/06/29 07:05:22 - mmengine - INFO - Epoch(train) [100][360/3757] lr: 1.000e-04 eta: 0:15:03 time: 0.203 data_time: 0.011 memory: 5150 grad_norm: 9.5201 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5226 loss: 1.5226 2022/06/29 07:05:28 - mmengine - INFO - Epoch(train) [100][380/3757] lr: 1.000e-04 eta: 0:14:58 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.5449 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0828 loss: 1.0828 2022/06/29 07:05:33 - mmengine - INFO - Epoch(train) [100][400/3757] lr: 1.000e-04 eta: 0:14:53 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 9.2699 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2479 loss: 1.2479 2022/06/29 07:05:38 - mmengine - INFO - Epoch(train) [100][420/3757] lr: 1.000e-04 eta: 0:14:47 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 8.4416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8422 loss: 0.8422 2022/06/29 07:05:43 - mmengine - INFO - Epoch(train) [100][440/3757] lr: 1.000e-04 eta: 0:14:42 time: 0.213 data_time: 0.007 memory: 5150 grad_norm: 10.3358 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/06/29 07:05:49 - mmengine - INFO - Epoch(train) [100][460/3757] lr: 1.000e-04 eta: 0:14:37 time: 0.206 data_time: 0.009 memory: 5150 grad_norm: 8.8122 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0693 loss: 1.0693 2022/06/29 07:05:54 - mmengine - INFO - Epoch(train) [100][480/3757] lr: 1.000e-04 eta: 0:14:31 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 8.6648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/06/29 07:05:59 - mmengine - INFO - Epoch(train) [100][500/3757] lr: 1.000e-04 eta: 0:14:26 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.6873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/06/29 07:06:04 - mmengine - INFO - Epoch(train) [100][520/3757] lr: 1.000e-04 eta: 0:14:21 time: 0.229 data_time: 0.007 memory: 5150 grad_norm: 8.3379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0551 loss: 1.0551 2022/06/29 07:06:09 - mmengine - INFO - Epoch(train) [100][540/3757] lr: 1.000e-04 eta: 0:14:15 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 8.5318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8912 loss: 0.8912 2022/06/29 07:06:15 - mmengine - INFO - Epoch(train) [100][560/3757] lr: 1.000e-04 eta: 0:14:10 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 9.8064 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7400 loss: 0.7400 2022/06/29 07:06:21 - mmengine - INFO - Epoch(train) [100][580/3757] lr: 1.000e-04 eta: 0:14:05 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.0411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8455 loss: 0.8455 2022/06/29 07:06:25 - mmengine - INFO - Epoch(train) [100][600/3757] lr: 1.000e-04 eta: 0:13:59 time: 0.204 data_time: 0.010 memory: 5150 grad_norm: 8.1329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1666 loss: 1.1666 2022/06/29 07:06:31 - mmengine - INFO - Epoch(train) [100][620/3757] lr: 1.000e-04 eta: 0:13:54 time: 0.210 data_time: 0.007 memory: 5150 grad_norm: 8.8686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2880 loss: 1.2880 2022/06/29 07:06:37 - mmengine - INFO - Epoch(train) [100][640/3757] lr: 1.000e-04 eta: 0:13:49 time: 0.236 data_time: 0.008 memory: 5150 grad_norm: 10.5159 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.1309 loss: 1.1309 2022/06/29 07:06:41 - mmengine - INFO - Epoch(train) [100][660/3757] lr: 1.000e-04 eta: 0:13:43 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 10.7955 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3083 loss: 1.3083 2022/06/29 07:06:46 - mmengine - INFO - Epoch(train) [100][680/3757] lr: 1.000e-04 eta: 0:13:38 time: 0.223 data_time: 0.015 memory: 5150 grad_norm: 9.0345 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0177 loss: 1.0177 2022/06/29 07:06:52 - mmengine - INFO - Epoch(train) [100][700/3757] lr: 1.000e-04 eta: 0:13:33 time: 0.506 data_time: 0.007 memory: 5150 grad_norm: 10.0092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/06/29 07:06:57 - mmengine - INFO - Epoch(train) [100][720/3757] lr: 1.000e-04 eta: 0:13:27 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 8.1339 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1689 loss: 1.1689 2022/06/29 07:07:02 - mmengine - INFO - Epoch(train) [100][740/3757] lr: 1.000e-04 eta: 0:13:22 time: 0.194 data_time: 0.011 memory: 5150 grad_norm: 8.9629 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0786 loss: 1.0786 2022/06/29 07:07:08 - mmengine - INFO - Epoch(train) [100][760/3757] lr: 1.000e-04 eta: 0:13:17 time: 0.277 data_time: 0.007 memory: 5150 grad_norm: 10.8986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9298 loss: 0.9298 2022/06/29 07:07:13 - mmengine - INFO - Epoch(train) [100][780/3757] lr: 1.000e-04 eta: 0:13:11 time: 0.204 data_time: 0.012 memory: 5150 grad_norm: 11.4522 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2067 loss: 1.2067 2022/06/29 07:07:19 - mmengine - INFO - Epoch(train) [100][800/3757] lr: 1.000e-04 eta: 0:13:06 time: 0.208 data_time: 0.009 memory: 5150 grad_norm: 10.7517 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3182 loss: 1.3182 2022/06/29 07:07:25 - mmengine - INFO - Epoch(train) [100][820/3757] lr: 1.000e-04 eta: 0:13:01 time: 1.197 data_time: 0.007 memory: 5150 grad_norm: 9.0334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0761 loss: 1.0761 2022/06/29 07:07:29 - mmengine - INFO - Epoch(train) [100][840/3757] lr: 1.000e-04 eta: 0:12:55 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 10.8784 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/06/29 07:07:35 - mmengine - INFO - Epoch(train) [100][860/3757] lr: 1.000e-04 eta: 0:12:50 time: 0.202 data_time: 0.018 memory: 5150 grad_norm: 10.7135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/06/29 07:07:41 - mmengine - INFO - Epoch(train) [100][880/3757] lr: 1.000e-04 eta: 0:12:45 time: 0.715 data_time: 0.011 memory: 5150 grad_norm: 9.3037 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8182 loss: 0.8182 2022/06/29 07:07:46 - mmengine - INFO - Epoch(train) [100][900/3757] lr: 1.000e-04 eta: 0:12:40 time: 0.208 data_time: 0.035 memory: 5150 grad_norm: 9.6907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0767 loss: 1.0767 2022/06/29 07:07:51 - mmengine - INFO - Epoch(train) [100][920/3757] lr: 1.000e-04 eta: 0:12:34 time: 0.201 data_time: 0.012 memory: 5150 grad_norm: 9.6407 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1080 loss: 1.1080 2022/06/29 07:07:57 - mmengine - INFO - Epoch(train) [100][940/3757] lr: 1.000e-04 eta: 0:12:29 time: 0.686 data_time: 0.019 memory: 5150 grad_norm: 11.7081 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1692 loss: 1.1692 2022/06/29 07:08:02 - mmengine - INFO - Epoch(train) [100][960/3757] lr: 1.000e-04 eta: 0:12:24 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 9.2828 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.9499 loss: 0.9499 2022/06/29 07:08:07 - mmengine - INFO - Epoch(train) [100][980/3757] lr: 1.000e-04 eta: 0:12:18 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 10.0464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3032 loss: 1.3032 2022/06/29 07:08:13 - mmengine - INFO - Epoch(train) [100][1000/3757] lr: 1.000e-04 eta: 0:12:13 time: 1.007 data_time: 0.012 memory: 5150 grad_norm: 10.3239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7722 loss: 0.7722 2022/06/29 07:08:18 - mmengine - INFO - Epoch(train) [100][1020/3757] lr: 1.000e-04 eta: 0:12:08 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 7.5728 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/06/29 07:08:23 - mmengine - INFO - Epoch(train) [100][1040/3757] lr: 1.000e-04 eta: 0:12:02 time: 0.202 data_time: 0.012 memory: 5150 grad_norm: 10.7575 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/06/29 07:08:27 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 07:08:29 - mmengine - INFO - Epoch(train) [100][1060/3757] lr: 1.000e-04 eta: 0:11:57 time: 0.882 data_time: 0.016 memory: 5150 grad_norm: 10.3452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/06/29 07:08:34 - mmengine - INFO - Epoch(train) [100][1080/3757] lr: 1.000e-04 eta: 0:11:52 time: 0.199 data_time: 0.014 memory: 5150 grad_norm: 9.2217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3064 loss: 1.3064 2022/06/29 07:08:39 - mmengine - INFO - Epoch(train) [100][1100/3757] lr: 1.000e-04 eta: 0:11:46 time: 0.203 data_time: 0.014 memory: 5150 grad_norm: 7.7755 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7189 loss: 0.7189 2022/06/29 07:08:44 - mmengine - INFO - Epoch(train) [100][1120/3757] lr: 1.000e-04 eta: 0:11:41 time: 0.803 data_time: 0.011 memory: 5150 grad_norm: 8.9979 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/06/29 07:08:49 - mmengine - INFO - Epoch(train) [100][1140/3757] lr: 1.000e-04 eta: 0:11:36 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 6.9272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1114 loss: 1.1114 2022/06/29 07:08:55 - mmengine - INFO - Epoch(train) [100][1160/3757] lr: 1.000e-04 eta: 0:11:30 time: 0.213 data_time: 0.014 memory: 5150 grad_norm: 9.1293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/06/29 07:09:00 - mmengine - INFO - Epoch(train) [100][1180/3757] lr: 1.000e-04 eta: 0:11:25 time: 0.491 data_time: 0.020 memory: 5150 grad_norm: 10.9284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8920 loss: 0.8920 2022/06/29 07:09:05 - mmengine - INFO - Epoch(train) [100][1200/3757] lr: 1.000e-04 eta: 0:11:20 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 9.5001 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3384 loss: 1.3384 2022/06/29 07:09:11 - mmengine - INFO - Epoch(train) [100][1220/3757] lr: 1.000e-04 eta: 0:11:14 time: 0.204 data_time: 0.007 memory: 5150 grad_norm: 10.4228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2901 loss: 1.2901 2022/06/29 07:09:15 - mmengine - INFO - Epoch(train) [100][1240/3757] lr: 1.000e-04 eta: 0:11:09 time: 0.689 data_time: 0.012 memory: 5150 grad_norm: 9.0693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2419 loss: 1.2419 2022/06/29 07:09:20 - mmengine - INFO - Epoch(train) [100][1260/3757] lr: 1.000e-04 eta: 0:11:04 time: 0.200 data_time: 0.011 memory: 5150 grad_norm: 9.1449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9174 loss: 0.9174 2022/06/29 07:09:26 - mmengine - INFO - Epoch(train) [100][1280/3757] lr: 1.000e-04 eta: 0:10:58 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.8663 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3268 loss: 1.3268 2022/06/29 07:09:31 - mmengine - INFO - Epoch(train) [100][1300/3757] lr: 1.000e-04 eta: 0:10:53 time: 1.065 data_time: 0.012 memory: 5150 grad_norm: 10.4964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6635 loss: 0.6635 2022/06/29 07:09:36 - mmengine - INFO - Epoch(train) [100][1320/3757] lr: 1.000e-04 eta: 0:10:48 time: 0.204 data_time: 0.014 memory: 5150 grad_norm: 8.4866 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0499 loss: 1.0499 2022/06/29 07:09:41 - mmengine - INFO - Epoch(train) [100][1340/3757] lr: 1.000e-04 eta: 0:10:42 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 9.6102 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1928 loss: 1.1928 2022/06/29 07:09:47 - mmengine - INFO - Epoch(train) [100][1360/3757] lr: 1.000e-04 eta: 0:10:37 time: 0.813 data_time: 0.012 memory: 5150 grad_norm: 10.1553 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/06/29 07:09:52 - mmengine - INFO - Epoch(train) [100][1380/3757] lr: 1.000e-04 eta: 0:10:32 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 10.0547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1580 loss: 1.1580 2022/06/29 07:09:57 - mmengine - INFO - Epoch(train) [100][1400/3757] lr: 1.000e-04 eta: 0:10:26 time: 0.221 data_time: 0.008 memory: 5150 grad_norm: 7.9016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0456 loss: 1.0456 2022/06/29 07:10:02 - mmengine - INFO - Epoch(train) [100][1420/3757] lr: 1.000e-04 eta: 0:10:21 time: 0.213 data_time: 0.013 memory: 5150 grad_norm: 8.1392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1545 loss: 1.1545 2022/06/29 07:10:08 - mmengine - INFO - Epoch(train) [100][1440/3757] lr: 1.000e-04 eta: 0:10:16 time: 0.233 data_time: 0.062 memory: 5150 grad_norm: 11.8615 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8649 loss: 0.8649 2022/06/29 07:10:13 - mmengine - INFO - Epoch(train) [100][1460/3757] lr: 1.000e-04 eta: 0:10:11 time: 0.206 data_time: 0.013 memory: 5150 grad_norm: 10.6159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/06/29 07:10:19 - mmengine - INFO - Epoch(train) [100][1480/3757] lr: 1.000e-04 eta: 0:10:05 time: 0.219 data_time: 0.016 memory: 5150 grad_norm: 9.6267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0539 loss: 1.0539 2022/06/29 07:10:24 - mmengine - INFO - Epoch(train) [100][1500/3757] lr: 1.000e-04 eta: 0:10:00 time: 0.202 data_time: 0.011 memory: 5150 grad_norm: 12.0019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1512 loss: 1.1512 2022/06/29 07:10:29 - mmengine - INFO - Epoch(train) [100][1520/3757] lr: 1.000e-04 eta: 0:09:55 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 8.6988 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/06/29 07:10:35 - mmengine - INFO - Epoch(train) [100][1540/3757] lr: 1.000e-04 eta: 0:09:49 time: 0.213 data_time: 0.031 memory: 5150 grad_norm: 8.0236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9053 loss: 0.9053 2022/06/29 07:10:41 - mmengine - INFO - Epoch(train) [100][1560/3757] lr: 1.000e-04 eta: 0:09:44 time: 0.220 data_time: 0.014 memory: 5150 grad_norm: 9.8118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0301 loss: 1.0301 2022/06/29 07:10:46 - mmengine - INFO - Epoch(train) [100][1580/3757] lr: 1.000e-04 eta: 0:09:39 time: 0.205 data_time: 0.009 memory: 5150 grad_norm: 9.2157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9397 loss: 0.9397 2022/06/29 07:10:51 - mmengine - INFO - Epoch(train) [100][1600/3757] lr: 1.000e-04 eta: 0:09:33 time: 0.234 data_time: 0.014 memory: 5150 grad_norm: 10.7987 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5087 loss: 1.5087 2022/06/29 07:10:57 - mmengine - INFO - Epoch(train) [100][1620/3757] lr: 1.000e-04 eta: 0:09:28 time: 0.255 data_time: 0.029 memory: 5150 grad_norm: 8.4291 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8736 loss: 0.8736 2022/06/29 07:11:02 - mmengine - INFO - Epoch(train) [100][1640/3757] lr: 1.000e-04 eta: 0:09:23 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 9.1864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9654 loss: 0.9654 2022/06/29 07:11:07 - mmengine - INFO - Epoch(train) [100][1660/3757] lr: 1.000e-04 eta: 0:09:17 time: 0.210 data_time: 0.020 memory: 5150 grad_norm: 8.2209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3053 loss: 1.3053 2022/06/29 07:11:12 - mmengine - INFO - Epoch(train) [100][1680/3757] lr: 1.000e-04 eta: 0:09:12 time: 0.199 data_time: 0.021 memory: 5150 grad_norm: 9.3478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/06/29 07:11:17 - mmengine - INFO - Epoch(train) [100][1700/3757] lr: 1.000e-04 eta: 0:09:07 time: 0.201 data_time: 0.020 memory: 5150 grad_norm: 9.2783 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3744 loss: 1.3744 2022/06/29 07:11:22 - mmengine - INFO - Epoch(train) [100][1720/3757] lr: 1.000e-04 eta: 0:09:01 time: 0.208 data_time: 0.014 memory: 5150 grad_norm: 10.1854 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4030 loss: 1.4030 2022/06/29 07:11:28 - mmengine - INFO - Epoch(train) [100][1740/3757] lr: 1.000e-04 eta: 0:08:56 time: 0.209 data_time: 0.021 memory: 5150 grad_norm: 8.5571 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/06/29 07:11:33 - mmengine - INFO - Epoch(train) [100][1760/3757] lr: 1.000e-04 eta: 0:08:51 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 8.9791 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0573 loss: 1.0573 2022/06/29 07:11:39 - mmengine - INFO - Epoch(train) [100][1780/3757] lr: 1.000e-04 eta: 0:08:45 time: 0.216 data_time: 0.017 memory: 5150 grad_norm: 11.8239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/06/29 07:11:44 - mmengine - INFO - Epoch(train) [100][1800/3757] lr: 1.000e-04 eta: 0:08:40 time: 0.202 data_time: 0.016 memory: 5150 grad_norm: 10.9227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/06/29 07:11:49 - mmengine - INFO - Epoch(train) [100][1820/3757] lr: 1.000e-04 eta: 0:08:35 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.3353 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.2521 loss: 1.2521 2022/06/29 07:11:55 - mmengine - INFO - Epoch(train) [100][1840/3757] lr: 1.000e-04 eta: 0:08:29 time: 0.201 data_time: 0.008 memory: 5150 grad_norm: 9.4323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7697 loss: 0.7697 2022/06/29 07:12:00 - mmengine - INFO - Epoch(train) [100][1860/3757] lr: 1.000e-04 eta: 0:08:24 time: 0.200 data_time: 0.016 memory: 5150 grad_norm: 9.8977 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1818 loss: 1.1818 2022/06/29 07:12:06 - mmengine - INFO - Epoch(train) [100][1880/3757] lr: 1.000e-04 eta: 0:08:19 time: 0.213 data_time: 0.009 memory: 5150 grad_norm: 8.0566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0949 loss: 1.0949 2022/06/29 07:12:11 - mmengine - INFO - Epoch(train) [100][1900/3757] lr: 1.000e-04 eta: 0:08:13 time: 0.199 data_time: 0.008 memory: 5150 grad_norm: 9.5533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1680 loss: 1.1680 2022/06/29 07:12:17 - mmengine - INFO - Epoch(train) [100][1920/3757] lr: 1.000e-04 eta: 0:08:08 time: 0.208 data_time: 0.021 memory: 5150 grad_norm: 10.0281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8384 loss: 0.8384 2022/06/29 07:12:22 - mmengine - INFO - Epoch(train) [100][1940/3757] lr: 1.000e-04 eta: 0:08:03 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 9.4450 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1534 loss: 1.1534 2022/06/29 07:12:27 - mmengine - INFO - Epoch(train) [100][1960/3757] lr: 1.000e-04 eta: 0:07:58 time: 0.221 data_time: 0.009 memory: 5150 grad_norm: 9.6932 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1195 loss: 1.1195 2022/06/29 07:12:32 - mmengine - INFO - Epoch(train) [100][1980/3757] lr: 1.000e-04 eta: 0:07:52 time: 0.212 data_time: 0.011 memory: 5150 grad_norm: 9.0697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1798 loss: 1.1798 2022/06/29 07:12:37 - mmengine - INFO - Epoch(train) [100][2000/3757] lr: 1.000e-04 eta: 0:07:47 time: 0.202 data_time: 0.007 memory: 5150 grad_norm: 8.9788 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8328 loss: 0.8328 2022/06/29 07:12:43 - mmengine - INFO - Epoch(train) [100][2020/3757] lr: 1.000e-04 eta: 0:07:42 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.7078 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2137 loss: 1.2137 2022/06/29 07:12:48 - mmengine - INFO - Epoch(train) [100][2040/3757] lr: 1.000e-04 eta: 0:07:36 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 8.9954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2836 loss: 1.2836 2022/06/29 07:12:53 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 07:12:53 - mmengine - INFO - Epoch(train) [100][2060/3757] lr: 1.000e-04 eta: 0:07:31 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.6621 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.2217 loss: 1.2217 2022/06/29 07:12:59 - mmengine - INFO - Epoch(train) [100][2080/3757] lr: 1.000e-04 eta: 0:07:26 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.0780 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2968 loss: 1.2968 2022/06/29 07:13:04 - mmengine - INFO - Epoch(train) [100][2100/3757] lr: 1.000e-04 eta: 0:07:20 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.1580 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4532 loss: 1.4532 2022/06/29 07:13:09 - mmengine - INFO - Epoch(train) [100][2120/3757] lr: 1.000e-04 eta: 0:07:15 time: 0.198 data_time: 0.008 memory: 5150 grad_norm: 11.2041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1893 loss: 1.1893 2022/06/29 07:13:15 - mmengine - INFO - Epoch(train) [100][2140/3757] lr: 1.000e-04 eta: 0:07:10 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 10.4901 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1161 loss: 1.1161 2022/06/29 07:13:20 - mmengine - INFO - Epoch(train) [100][2160/3757] lr: 1.000e-04 eta: 0:07:04 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 9.3620 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.4264 loss: 1.4264 2022/06/29 07:13:25 - mmengine - INFO - Epoch(train) [100][2180/3757] lr: 1.000e-04 eta: 0:06:59 time: 0.218 data_time: 0.008 memory: 5150 grad_norm: 10.1762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1482 loss: 1.1482 2022/06/29 07:13:31 - mmengine - INFO - Epoch(train) [100][2200/3757] lr: 1.000e-04 eta: 0:06:54 time: 0.305 data_time: 0.008 memory: 5150 grad_norm: 9.6052 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/06/29 07:13:36 - mmengine - INFO - Epoch(train) [100][2220/3757] lr: 1.000e-04 eta: 0:06:48 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 9.5237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1507 loss: 1.1507 2022/06/29 07:13:41 - mmengine - INFO - Epoch(train) [100][2240/3757] lr: 1.000e-04 eta: 0:06:43 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 9.9094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8582 loss: 0.8582 2022/06/29 07:13:47 - mmengine - INFO - Epoch(train) [100][2260/3757] lr: 1.000e-04 eta: 0:06:38 time: 0.219 data_time: 0.008 memory: 5150 grad_norm: 9.6150 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0654 loss: 1.0654 2022/06/29 07:13:52 - mmengine - INFO - Epoch(train) [100][2280/3757] lr: 1.000e-04 eta: 0:06:32 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 9.2392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0213 loss: 1.0213 2022/06/29 07:13:58 - mmengine - INFO - Epoch(train) [100][2300/3757] lr: 1.000e-04 eta: 0:06:27 time: 0.211 data_time: 0.008 memory: 5150 grad_norm: 11.7624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/06/29 07:14:03 - mmengine - INFO - Epoch(train) [100][2320/3757] lr: 1.000e-04 eta: 0:06:22 time: 0.215 data_time: 0.008 memory: 5150 grad_norm: 10.1700 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1959 loss: 1.1959 2022/06/29 07:14:08 - mmengine - INFO - Epoch(train) [100][2340/3757] lr: 1.000e-04 eta: 0:06:16 time: 0.209 data_time: 0.014 memory: 5150 grad_norm: 7.8119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8854 loss: 0.8854 2022/06/29 07:14:14 - mmengine - INFO - Epoch(train) [100][2360/3757] lr: 1.000e-04 eta: 0:06:11 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 8.2953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9841 loss: 0.9841 2022/06/29 07:14:18 - mmengine - INFO - Epoch(train) [100][2380/3757] lr: 1.000e-04 eta: 0:06:06 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 8.5812 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/06/29 07:14:24 - mmengine - INFO - Epoch(train) [100][2400/3757] lr: 1.000e-04 eta: 0:06:00 time: 0.215 data_time: 0.012 memory: 5150 grad_norm: 8.5773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/06/29 07:14:29 - mmengine - INFO - Epoch(train) [100][2420/3757] lr: 1.000e-04 eta: 0:05:55 time: 0.213 data_time: 0.008 memory: 5150 grad_norm: 9.6040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2817 loss: 1.2817 2022/06/29 07:14:34 - mmengine - INFO - Epoch(train) [100][2440/3757] lr: 1.000e-04 eta: 0:05:50 time: 0.375 data_time: 0.008 memory: 5150 grad_norm: 7.7485 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0421 loss: 1.0421 2022/06/29 07:14:40 - mmengine - INFO - Epoch(train) [100][2460/3757] lr: 1.000e-04 eta: 0:05:45 time: 0.203 data_time: 0.009 memory: 5150 grad_norm: 10.1642 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/06/29 07:14:45 - mmengine - INFO - Epoch(train) [100][2480/3757] lr: 1.000e-04 eta: 0:05:39 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 9.7923 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2470 loss: 1.2470 2022/06/29 07:14:51 - mmengine - INFO - Epoch(train) [100][2500/3757] lr: 1.000e-04 eta: 0:05:34 time: 0.301 data_time: 0.007 memory: 5150 grad_norm: 9.9323 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2401 loss: 1.2401 2022/06/29 07:14:56 - mmengine - INFO - Epoch(train) [100][2520/3757] lr: 1.000e-04 eta: 0:05:29 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.6612 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0224 loss: 1.0224 2022/06/29 07:15:02 - mmengine - INFO - Epoch(train) [100][2540/3757] lr: 1.000e-04 eta: 0:05:23 time: 0.205 data_time: 0.007 memory: 5150 grad_norm: 8.9443 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/06/29 07:15:07 - mmengine - INFO - Epoch(train) [100][2560/3757] lr: 1.000e-04 eta: 0:05:18 time: 0.847 data_time: 0.010 memory: 5150 grad_norm: 9.2953 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2191 loss: 1.2191 2022/06/29 07:15:12 - mmengine - INFO - Epoch(train) [100][2580/3757] lr: 1.000e-04 eta: 0:05:13 time: 0.210 data_time: 0.012 memory: 5150 grad_norm: 9.1143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1753 loss: 1.1753 2022/06/29 07:15:17 - mmengine - INFO - Epoch(train) [100][2600/3757] lr: 1.000e-04 eta: 0:05:07 time: 0.218 data_time: 0.033 memory: 5150 grad_norm: 9.4486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1835 loss: 1.1835 2022/06/29 07:15:23 - mmengine - INFO - Epoch(train) [100][2620/3757] lr: 1.000e-04 eta: 0:05:02 time: 0.972 data_time: 0.007 memory: 5150 grad_norm: 10.5247 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0862 loss: 1.0862 2022/06/29 07:15:28 - mmengine - INFO - Epoch(train) [100][2640/3757] lr: 1.000e-04 eta: 0:04:57 time: 0.203 data_time: 0.008 memory: 5150 grad_norm: 8.5220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0846 loss: 1.0846 2022/06/29 07:15:34 - mmengine - INFO - Epoch(train) [100][2660/3757] lr: 1.000e-04 eta: 0:04:51 time: 0.208 data_time: 0.012 memory: 5150 grad_norm: 8.2661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8101 loss: 0.8101 2022/06/29 07:15:39 - mmengine - INFO - Epoch(train) [100][2680/3757] lr: 1.000e-04 eta: 0:04:46 time: 0.243 data_time: 0.011 memory: 5150 grad_norm: 8.3008 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8647 loss: 0.8647 2022/06/29 07:15:44 - mmengine - INFO - Epoch(train) [100][2700/3757] lr: 1.000e-04 eta: 0:04:41 time: 0.213 data_time: 0.011 memory: 5150 grad_norm: 9.8793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2564 loss: 1.2564 2022/06/29 07:15:50 - mmengine - INFO - Epoch(train) [100][2720/3757] lr: 1.000e-04 eta: 0:04:35 time: 0.226 data_time: 0.048 memory: 5150 grad_norm: 11.1145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8734 loss: 0.8734 2022/06/29 07:15:55 - mmengine - INFO - Epoch(train) [100][2740/3757] lr: 1.000e-04 eta: 0:04:30 time: 0.781 data_time: 0.010 memory: 5150 grad_norm: 8.8313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2586 loss: 1.2586 2022/06/29 07:16:00 - mmengine - INFO - Epoch(train) [100][2760/3757] lr: 1.000e-04 eta: 0:04:25 time: 0.207 data_time: 0.017 memory: 5150 grad_norm: 9.2371 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6698 loss: 0.6698 2022/06/29 07:16:05 - mmengine - INFO - Epoch(train) [100][2780/3757] lr: 1.000e-04 eta: 0:04:19 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 9.1666 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0144 loss: 1.0144 2022/06/29 07:16:10 - mmengine - INFO - Epoch(train) [100][2800/3757] lr: 1.000e-04 eta: 0:04:14 time: 0.814 data_time: 0.010 memory: 5150 grad_norm: 9.0411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9302 loss: 0.9302 2022/06/29 07:16:15 - mmengine - INFO - Epoch(train) [100][2820/3757] lr: 1.000e-04 eta: 0:04:09 time: 0.203 data_time: 0.015 memory: 5150 grad_norm: 10.2571 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1134 loss: 1.1134 2022/06/29 07:16:21 - mmengine - INFO - Epoch(train) [100][2840/3757] lr: 1.000e-04 eta: 0:04:03 time: 0.198 data_time: 0.016 memory: 5150 grad_norm: 8.9734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4405 loss: 1.4405 2022/06/29 07:16:26 - mmengine - INFO - Epoch(train) [100][2860/3757] lr: 1.000e-04 eta: 0:03:58 time: 0.767 data_time: 0.013 memory: 5150 grad_norm: 8.7125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1863 loss: 1.1863 2022/06/29 07:16:31 - mmengine - INFO - Epoch(train) [100][2880/3757] lr: 1.000e-04 eta: 0:03:53 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 9.8134 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/06/29 07:16:37 - mmengine - INFO - Epoch(train) [100][2900/3757] lr: 1.000e-04 eta: 0:03:47 time: 0.203 data_time: 0.007 memory: 5150 grad_norm: 8.6624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/06/29 07:16:42 - mmengine - INFO - Epoch(train) [100][2920/3757] lr: 1.000e-04 eta: 0:03:42 time: 0.200 data_time: 0.010 memory: 5150 grad_norm: 11.7637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0675 loss: 1.0675 2022/06/29 07:16:47 - mmengine - INFO - Epoch(train) [100][2940/3757] lr: 1.000e-04 eta: 0:03:37 time: 0.214 data_time: 0.009 memory: 5150 grad_norm: 9.5419 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/06/29 07:16:53 - mmengine - INFO - Epoch(train) [100][2960/3757] lr: 1.000e-04 eta: 0:03:32 time: 0.209 data_time: 0.007 memory: 5150 grad_norm: 9.6683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2316 loss: 1.2316 2022/06/29 07:16:58 - mmengine - INFO - Epoch(train) [100][2980/3757] lr: 1.000e-04 eta: 0:03:26 time: 0.209 data_time: 0.012 memory: 5150 grad_norm: 8.3176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/06/29 07:17:03 - mmengine - INFO - Epoch(train) [100][3000/3757] lr: 1.000e-04 eta: 0:03:21 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 8.9646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/06/29 07:17:09 - mmengine - INFO - Epoch(train) [100][3020/3757] lr: 1.000e-04 eta: 0:03:16 time: 0.207 data_time: 0.007 memory: 5150 grad_norm: 9.7403 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/06/29 07:17:14 - mmengine - INFO - Epoch(train) [100][3040/3757] lr: 1.000e-04 eta: 0:03:10 time: 0.197 data_time: 0.007 memory: 5150 grad_norm: 8.0701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0626 loss: 1.0626 2022/06/29 07:17:19 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 07:17:20 - mmengine - INFO - Epoch(train) [100][3060/3757] lr: 1.000e-04 eta: 0:03:05 time: 0.193 data_time: 0.013 memory: 5150 grad_norm: 7.6999 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9809 loss: 0.9809 2022/06/29 07:17:25 - mmengine - INFO - Epoch(train) [100][3080/3757] lr: 1.000e-04 eta: 0:03:00 time: 0.208 data_time: 0.008 memory: 5150 grad_norm: 10.0873 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.0292 loss: 1.0292 2022/06/29 07:17:30 - mmengine - INFO - Epoch(train) [100][3100/3757] lr: 1.000e-04 eta: 0:02:54 time: 0.207 data_time: 0.008 memory: 5150 grad_norm: 9.6132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9321 loss: 0.9321 2022/06/29 07:17:36 - mmengine - INFO - Epoch(train) [100][3120/3757] lr: 1.000e-04 eta: 0:02:49 time: 0.201 data_time: 0.014 memory: 5150 grad_norm: 7.0416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/06/29 07:17:41 - mmengine - INFO - Epoch(train) [100][3140/3757] lr: 1.000e-04 eta: 0:02:44 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 8.8511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4487 loss: 1.4487 2022/06/29 07:17:46 - mmengine - INFO - Epoch(train) [100][3160/3757] lr: 1.000e-04 eta: 0:02:38 time: 0.195 data_time: 0.008 memory: 5150 grad_norm: 10.1968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0212 loss: 1.0212 2022/06/29 07:17:52 - mmengine - INFO - Epoch(train) [100][3180/3757] lr: 1.000e-04 eta: 0:02:33 time: 0.209 data_time: 0.008 memory: 5150 grad_norm: 10.3858 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3364 loss: 1.3364 2022/06/29 07:17:57 - mmengine - INFO - Epoch(train) [100][3200/3757] lr: 1.000e-04 eta: 0:02:28 time: 0.215 data_time: 0.007 memory: 5150 grad_norm: 9.1136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4250 loss: 1.4250 2022/06/29 07:18:03 - mmengine - INFO - Epoch(train) [100][3220/3757] lr: 1.000e-04 eta: 0:02:22 time: 0.200 data_time: 0.008 memory: 5150 grad_norm: 9.9202 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8474 loss: 0.8474 2022/06/29 07:18:09 - mmengine - INFO - Epoch(train) [100][3240/3757] lr: 1.000e-04 eta: 0:02:17 time: 0.205 data_time: 0.011 memory: 5150 grad_norm: 9.1950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8013 loss: 0.8013 2022/06/29 07:18:13 - mmengine - INFO - Epoch(train) [100][3260/3757] lr: 1.000e-04 eta: 0:02:12 time: 0.210 data_time: 0.008 memory: 5150 grad_norm: 10.4212 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/06/29 07:18:18 - mmengine - INFO - Epoch(train) [100][3280/3757] lr: 1.000e-04 eta: 0:02:06 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.7869 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0001 loss: 1.0001 2022/06/29 07:18:24 - mmengine - INFO - Epoch(train) [100][3300/3757] lr: 1.000e-04 eta: 0:02:01 time: 0.204 data_time: 0.018 memory: 5150 grad_norm: 9.9096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8174 loss: 0.8174 2022/06/29 07:18:28 - mmengine - INFO - Epoch(train) [100][3320/3757] lr: 1.000e-04 eta: 0:01:56 time: 0.219 data_time: 0.011 memory: 5150 grad_norm: 8.0631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8904 loss: 0.8904 2022/06/29 07:18:34 - mmengine - INFO - Epoch(train) [100][3340/3757] lr: 1.000e-04 eta: 0:01:50 time: 0.199 data_time: 0.012 memory: 5150 grad_norm: 11.4405 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1267 loss: 1.1267 2022/06/29 07:18:40 - mmengine - INFO - Epoch(train) [100][3360/3757] lr: 1.000e-04 eta: 0:01:45 time: 0.200 data_time: 0.015 memory: 5150 grad_norm: 9.3865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0373 loss: 1.0373 2022/06/29 07:18:45 - mmengine - INFO - Epoch(train) [100][3380/3757] lr: 1.000e-04 eta: 0:01:40 time: 0.202 data_time: 0.008 memory: 5150 grad_norm: 8.8104 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3751 loss: 1.3751 2022/06/29 07:18:50 - mmengine - INFO - Epoch(train) [100][3400/3757] lr: 1.000e-04 eta: 0:01:34 time: 0.211 data_time: 0.007 memory: 5150 grad_norm: 8.7790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0673 loss: 1.0673 2022/06/29 07:18:56 - mmengine - INFO - Epoch(train) [100][3420/3757] lr: 1.000e-04 eta: 0:01:29 time: 0.211 data_time: 0.012 memory: 5150 grad_norm: 7.1511 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3864 loss: 1.3864 2022/06/29 07:19:01 - mmengine - INFO - Epoch(train) [100][3440/3757] lr: 1.000e-04 eta: 0:01:24 time: 0.217 data_time: 0.007 memory: 5150 grad_norm: 8.2599 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0449 loss: 1.0449 2022/06/29 07:19:07 - mmengine - INFO - Epoch(train) [100][3460/3757] lr: 1.000e-04 eta: 0:01:19 time: 0.209 data_time: 0.010 memory: 5150 grad_norm: 7.7729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0381 loss: 1.0381 2022/06/29 07:19:12 - mmengine - INFO - Epoch(train) [100][3480/3757] lr: 1.000e-04 eta: 0:01:13 time: 0.207 data_time: 0.011 memory: 5150 grad_norm: 9.4129 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0285 loss: 1.0285 2022/06/29 07:19:18 - mmengine - INFO - Epoch(train) [100][3500/3757] lr: 1.000e-04 eta: 0:01:08 time: 0.266 data_time: 0.010 memory: 5150 grad_norm: 9.1588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/06/29 07:19:23 - mmengine - INFO - Epoch(train) [100][3520/3757] lr: 1.000e-04 eta: 0:01:03 time: 0.215 data_time: 0.010 memory: 5150 grad_norm: 10.3467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1900 loss: 1.1900 2022/06/29 07:19:29 - mmengine - INFO - Epoch(train) [100][3540/3757] lr: 1.000e-04 eta: 0:00:57 time: 0.212 data_time: 0.015 memory: 5150 grad_norm: 9.0222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1059 loss: 1.1059 2022/06/29 07:19:33 - mmengine - INFO - Epoch(train) [100][3560/3757] lr: 1.000e-04 eta: 0:00:52 time: 0.214 data_time: 0.011 memory: 5150 grad_norm: 11.7304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/06/29 07:19:39 - mmengine - INFO - Epoch(train) [100][3580/3757] lr: 1.000e-04 eta: 0:00:47 time: 0.199 data_time: 0.013 memory: 5150 grad_norm: 9.4141 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1056 loss: 1.1056 2022/06/29 07:19:44 - mmengine - INFO - Epoch(train) [100][3600/3757] lr: 1.000e-04 eta: 0:00:41 time: 0.210 data_time: 0.016 memory: 5150 grad_norm: 10.1003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7226 loss: 0.7226 2022/06/29 07:19:49 - mmengine - INFO - Epoch(train) [100][3620/3757] lr: 1.000e-04 eta: 0:00:36 time: 0.205 data_time: 0.008 memory: 5150 grad_norm: 10.0645 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2234 loss: 1.2234 2022/06/29 07:19:54 - mmengine - INFO - Epoch(train) [100][3640/3757] lr: 1.000e-04 eta: 0:00:31 time: 0.204 data_time: 0.011 memory: 5150 grad_norm: 8.4587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0517 loss: 1.0517 2022/06/29 07:20:00 - mmengine - INFO - Epoch(train) [100][3660/3757] lr: 1.000e-04 eta: 0:00:25 time: 0.204 data_time: 0.017 memory: 5150 grad_norm: 8.5637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/06/29 07:20:05 - mmengine - INFO - Epoch(train) [100][3680/3757] lr: 1.000e-04 eta: 0:00:20 time: 0.200 data_time: 0.007 memory: 5150 grad_norm: 9.1580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0754 loss: 1.0754 2022/06/29 07:20:10 - mmengine - INFO - Epoch(train) [100][3700/3757] lr: 1.000e-04 eta: 0:00:15 time: 0.206 data_time: 0.007 memory: 5150 grad_norm: 11.8046 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/06/29 07:20:15 - mmengine - INFO - Epoch(train) [100][3720/3757] lr: 1.000e-04 eta: 0:00:09 time: 0.210 data_time: 0.022 memory: 5150 grad_norm: 12.0462 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1487 loss: 1.1487 2022/06/29 07:20:21 - mmengine - INFO - Epoch(train) [100][3740/3757] lr: 1.000e-04 eta: 0:00:04 time: 0.206 data_time: 0.008 memory: 5150 grad_norm: 9.9820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3763 loss: 1.3763 2022/06/29 07:20:24 - mmengine - INFO - Exp name: i3d_r50_dense_32x2x1_100e_kinetics400_rgb_20220627_172844 2022/06/29 07:20:24 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/06/29 07:20:59 - mmengine - INFO - Epoch(val) [100][20/310] eta: 0:05:42 time: 1.097 data_time: 0.457 memory: 9746 2022/06/29 07:21:20 - mmengine - INFO - Epoch(val) [100][40/310] eta: 0:04:43 time: 1.044 data_time: 0.408 memory: 9746 2022/06/29 07:21:44 - mmengine - INFO - Epoch(val) [100][60/310] eta: 0:04:15 time: 1.082 data_time: 0.441 memory: 9746 2022/06/29 07:22:09 - mmengine - INFO - Epoch(val) [100][80/310] eta: 0:05:01 time: 0.966 data_time: 0.333 memory: 9746 2022/06/29 07:22:33 - mmengine - INFO - Epoch(val) [100][100/310] eta: 0:04:20 time: 2.700 data_time: 2.010 memory: 9746 2022/06/29 07:22:54 - mmengine - INFO - Epoch(val) [100][120/310] eta: 0:03:27 time: 1.001 data_time: 0.347 memory: 9746 2022/06/29 07:23:18 - mmengine - INFO - Epoch(val) [100][140/310] eta: 0:03:24 time: 1.126 data_time: 0.425 memory: 9746 2022/06/29 07:23:43 - mmengine - INFO - Epoch(val) [100][160/310] eta: 0:03:20 time: 3.468 data_time: 2.791 memory: 9746 2022/06/29 07:24:06 - mmengine - INFO - Epoch(val) [100][180/310] eta: 0:02:53 time: 1.036 data_time: 0.409 memory: 9746 2022/06/29 07:24:29 - mmengine - INFO - Epoch(val) [100][200/310] eta: 0:02:10 time: 1.136 data_time: 0.443 memory: 9746 2022/06/29 07:24:49 - mmengine - INFO - Epoch(val) [100][220/310] eta: 0:01:36 time: 1.430 data_time: 0.770 memory: 9746 2022/06/29 07:25:12 - mmengine - INFO - Epoch(val) [100][240/310] eta: 0:01:20 time: 1.058 data_time: 0.429 memory: 9746 2022/06/29 07:25:34 - mmengine - INFO - Epoch(val) [100][260/310] eta: 0:00:57 time: 0.914 data_time: 0.268 memory: 9746 2022/06/29 07:25:58 - mmengine - INFO - Epoch(val) [100][280/310] eta: 0:00:34 time: 2.120 data_time: 1.484 memory: 9746 2022/06/29 07:26:16 - mmengine - INFO - Epoch(val) [100][300/310] eta: 0:00:07 time: 0.624 data_time: 0.058 memory: 9746 2022/06/29 07:26:27 - mmengine - INFO - Epoch(val) [100][310/310] acc/top1: 0.7246 acc/top5: 0.9049 acc/mean1: 0.7245