2022/08/01 06:16:06 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/01 06:16:06 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py by HardDiskBackend. 2022/08/01 06:17:18 - mmengine - INFO - Epoch(train) [1][20/940] lr: 6.0000e-02 eta: 3 days, 22:00:54 time: 3.6013 data_time: 3.0811 memory: 16342 grad_norm: 1.0674 top1_acc: 0.0312 top5_acc: 0.0938 loss_cls: 5.8485 loss: 5.8485 2022/08/01 06:17:29 - mmengine - INFO - Epoch(train) [1][40/940] lr: 6.0000e-02 eta: 2 days, 5:38:07 time: 0.5086 data_time: 0.0385 memory: 13616 grad_norm: 2.0027 top1_acc: 0.0938 top5_acc: 0.2500 loss_cls: 5.0031 loss: 5.0031 2022/08/01 06:17:41 - mmengine - INFO - Epoch(train) [1][60/940] lr: 6.0000e-02 eta: 1 day, 16:57:08 time: 0.5982 data_time: 0.0396 memory: 13616 grad_norm: 2.5852 top1_acc: 0.3438 top5_acc: 0.5312 loss_cls: 4.1079 loss: 4.1079 2022/08/01 06:17:51 - mmengine - INFO - Epoch(train) [1][80/940] lr: 6.0000e-02 eta: 1 day, 9:55:54 time: 0.4943 data_time: 0.0302 memory: 13616 grad_norm: 2.7449 top1_acc: 0.0625 top5_acc: 0.3438 loss_cls: 3.7511 loss: 3.7511 2022/08/01 06:18:00 - mmengine - INFO - Epoch(train) [1][100/940] lr: 6.0000e-02 eta: 1 day, 5:36:47 time: 0.4742 data_time: 0.0977 memory: 13616 grad_norm: 2.8587 top1_acc: 0.2500 top5_acc: 0.5312 loss_cls: 3.6276 loss: 3.6276 2022/08/01 06:18:12 - mmengine - INFO - Epoch(train) [1][120/940] lr: 6.0000e-02 eta: 1 day, 3:10:42 time: 0.5766 data_time: 0.1217 memory: 13616 grad_norm: 2.9269 top1_acc: 0.2500 top5_acc: 0.4688 loss_cls: 3.3927 loss: 3.3927 2022/08/01 06:18:22 - mmengine - INFO - Epoch(train) [1][140/940] lr: 6.0000e-02 eta: 1 day, 1:13:48 time: 0.5207 data_time: 0.0411 memory: 13616 grad_norm: 2.8565 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.3790 loss: 3.3790 2022/08/01 06:18:32 - mmengine - INFO - Epoch(train) [1][160/940] lr: 6.0000e-02 eta: 23:43:54 time: 0.5095 data_time: 0.0331 memory: 13616 grad_norm: 2.8832 top1_acc: 0.2812 top5_acc: 0.4375 loss_cls: 3.3919 loss: 3.3919 2022/08/01 06:18:43 - mmengine - INFO - Epoch(train) [1][180/940] lr: 6.0000e-02 eta: 22:35:42 time: 0.5196 data_time: 0.0379 memory: 13616 grad_norm: 2.9118 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 3.5420 loss: 3.5420 2022/08/01 06:18:52 - mmengine - INFO - Epoch(train) [1][200/940] lr: 6.0000e-02 eta: 21:37:31 time: 0.4967 data_time: 0.0397 memory: 13616 grad_norm: 2.8435 top1_acc: 0.3750 top5_acc: 0.5312 loss_cls: 3.2309 loss: 3.2309 2022/08/01 06:19:04 - mmengine - INFO - Epoch(train) [1][220/940] lr: 6.0000e-02 eta: 21:02:01 time: 0.5821 data_time: 0.0352 memory: 13616 grad_norm: 2.8646 top1_acc: 0.4062 top5_acc: 0.5312 loss_cls: 3.3098 loss: 3.3098 2022/08/01 06:19:14 - mmengine - INFO - Epoch(train) [1][240/940] lr: 6.0000e-02 eta: 20:18:05 time: 0.4722 data_time: 0.0341 memory: 13616 grad_norm: 2.9355 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 3.3003 loss: 3.3003 2022/08/01 06:19:25 - mmengine - INFO - Epoch(train) [1][260/940] lr: 6.0000e-02 eta: 19:52:05 time: 0.5653 data_time: 0.0324 memory: 13616 grad_norm: 2.8966 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1433 loss: 3.1433 2022/08/01 06:19:35 - mmengine - INFO - Epoch(train) [1][280/940] lr: 6.0000e-02 eta: 19:24:08 time: 0.5147 data_time: 0.0321 memory: 13616 grad_norm: 2.8620 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.3044 loss: 3.3044 2022/08/01 06:19:46 - mmengine - INFO - Epoch(train) [1][300/940] lr: 6.0000e-02 eta: 19:03:54 time: 0.5533 data_time: 0.0368 memory: 13616 grad_norm: 2.8966 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 3.0997 loss: 3.0997 2022/08/01 06:19:56 - mmengine - INFO - Epoch(train) [1][320/940] lr: 6.0000e-02 eta: 18:38:43 time: 0.4771 data_time: 0.0439 memory: 13616 grad_norm: 2.8279 top1_acc: 0.1562 top5_acc: 0.4375 loss_cls: 3.1338 loss: 3.1338 2022/08/01 06:20:07 - mmengine - INFO - Epoch(train) [1][340/940] lr: 6.0000e-02 eta: 18:23:32 time: 0.5538 data_time: 0.0382 memory: 13616 grad_norm: 2.7990 top1_acc: 0.2812 top5_acc: 0.4062 loss_cls: 3.0734 loss: 3.0734 2022/08/01 06:20:17 - mmengine - INFO - Epoch(train) [1][360/940] lr: 6.0000e-02 eta: 18:07:41 time: 0.5268 data_time: 0.0321 memory: 13616 grad_norm: 2.8204 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.8841 loss: 2.8841 2022/08/01 06:20:27 - mmengine - INFO - Epoch(train) [1][380/940] lr: 6.0000e-02 eta: 17:50:03 time: 0.4851 data_time: 0.0972 memory: 13616 grad_norm: 2.7764 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 3.0783 loss: 3.0783 2022/08/01 06:20:38 - mmengine - INFO - Epoch(train) [1][400/940] lr: 6.0000e-02 eta: 17:38:11 time: 0.5366 data_time: 0.2181 memory: 13616 grad_norm: 2.8571 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 3.1319 loss: 3.1319 2022/08/01 06:20:48 - mmengine - INFO - Epoch(train) [1][420/940] lr: 6.0000e-02 eta: 17:25:41 time: 0.5130 data_time: 0.1957 memory: 13616 grad_norm: 2.7804 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 3.1044 loss: 3.1044 2022/08/01 06:20:59 - mmengine - INFO - Epoch(train) [1][440/940] lr: 6.0000e-02 eta: 17:17:45 time: 0.5616 data_time: 0.1871 memory: 13616 grad_norm: 2.8184 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 3.0818 loss: 3.0818 2022/08/01 06:21:09 - mmengine - INFO - Epoch(train) [1][460/940] lr: 6.0000e-02 eta: 17:06:40 time: 0.5053 data_time: 0.1346 memory: 13616 grad_norm: 2.7600 top1_acc: 0.3438 top5_acc: 0.5000 loss_cls: 3.0820 loss: 3.0820 2022/08/01 06:21:20 - mmengine - INFO - Epoch(train) [1][480/940] lr: 6.0000e-02 eta: 16:59:26 time: 0.5504 data_time: 0.0835 memory: 13616 grad_norm: 2.8233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9315 loss: 2.9315 2022/08/01 06:21:30 - mmengine - INFO - Epoch(train) [1][500/940] lr: 6.0000e-02 eta: 16:48:34 time: 0.4835 data_time: 0.0518 memory: 13616 grad_norm: 2.7940 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.0814 loss: 3.0814 2022/08/01 06:21:40 - mmengine - INFO - Epoch(train) [1][520/940] lr: 6.0000e-02 eta: 16:40:07 time: 0.5096 data_time: 0.0400 memory: 13616 grad_norm: 2.8017 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.9954 loss: 2.9954 2022/08/01 06:21:50 - mmengine - INFO - Epoch(train) [1][540/940] lr: 6.0000e-02 eta: 16:31:33 time: 0.4971 data_time: 0.0549 memory: 13616 grad_norm: 2.7518 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 3.1411 loss: 3.1411 2022/08/01 06:22:01 - mmengine - INFO - Epoch(train) [1][560/940] lr: 6.0000e-02 eta: 16:25:26 time: 0.5305 data_time: 0.0312 memory: 13616 grad_norm: 2.8199 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.8788 loss: 2.8788 2022/08/01 06:22:11 - mmengine - INFO - Epoch(train) [1][580/940] lr: 6.0000e-02 eta: 16:19:20 time: 0.5231 data_time: 0.0342 memory: 13616 grad_norm: 2.7817 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 3.0301 loss: 3.0301 2022/08/01 06:22:22 - mmengine - INFO - Epoch(train) [1][600/940] lr: 6.0000e-02 eta: 16:14:35 time: 0.5416 data_time: 0.0366 memory: 13616 grad_norm: 2.7712 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.9255 loss: 2.9255 2022/08/01 06:22:34 - mmengine - INFO - Epoch(train) [1][620/940] lr: 6.0000e-02 eta: 16:13:04 time: 0.5999 data_time: 0.0460 memory: 13616 grad_norm: 2.7863 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9339 loss: 2.9339 2022/08/01 06:22:43 - mmengine - INFO - Epoch(train) [1][640/940] lr: 6.0000e-02 eta: 16:04:42 time: 0.4574 data_time: 0.0407 memory: 13616 grad_norm: 2.7273 top1_acc: 0.2812 top5_acc: 0.5000 loss_cls: 2.9469 loss: 2.9469 2022/08/01 06:22:55 - mmengine - INFO - Epoch(train) [1][660/940] lr: 6.0000e-02 eta: 16:02:47 time: 0.5840 data_time: 0.0277 memory: 13616 grad_norm: 2.7133 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.9231 loss: 2.9231 2022/08/01 06:23:04 - mmengine - INFO - Epoch(train) [1][680/940] lr: 6.0000e-02 eta: 15:55:14 time: 0.4584 data_time: 0.0355 memory: 13616 grad_norm: 2.7014 top1_acc: 0.5000 top5_acc: 0.5938 loss_cls: 2.9958 loss: 2.9958 2022/08/01 06:23:15 - mmengine - INFO - Epoch(train) [1][700/940] lr: 6.0000e-02 eta: 15:51:21 time: 0.5314 data_time: 0.0301 memory: 13616 grad_norm: 2.7015 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0320 loss: 3.0320 2022/08/01 06:23:25 - mmengine - INFO - Epoch(train) [1][720/940] lr: 6.0000e-02 eta: 15:46:02 time: 0.4932 data_time: 0.0356 memory: 13616 grad_norm: 2.6952 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.9811 loss: 2.9811 2022/08/01 06:23:36 - mmengine - INFO - Epoch(train) [1][740/940] lr: 6.0000e-02 eta: 15:44:15 time: 0.5707 data_time: 0.0603 memory: 13616 grad_norm: 2.6737 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.8417 loss: 2.8417 2022/08/01 06:23:47 - mmengine - INFO - Epoch(train) [1][760/940] lr: 6.0000e-02 eta: 15:40:53 time: 0.5304 data_time: 0.0938 memory: 13616 grad_norm: 2.7035 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.6916 loss: 2.6916 2022/08/01 06:23:58 - mmengine - INFO - Epoch(train) [1][780/940] lr: 6.0000e-02 eta: 15:38:27 time: 0.5493 data_time: 0.0311 memory: 13616 grad_norm: 2.7027 top1_acc: 0.3125 top5_acc: 0.5312 loss_cls: 3.0461 loss: 3.0461 2022/08/01 06:24:08 - mmengine - INFO - Epoch(train) [1][800/940] lr: 6.0000e-02 eta: 15:34:04 time: 0.4963 data_time: 0.0369 memory: 13616 grad_norm: 2.6544 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.8651 loss: 2.8651 2022/08/01 06:24:19 - mmengine - INFO - Epoch(train) [1][820/940] lr: 6.0000e-02 eta: 15:32:09 time: 0.5562 data_time: 0.0310 memory: 13616 grad_norm: 2.6979 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8696 loss: 2.8696 2022/08/01 06:24:28 - mmengine - INFO - Epoch(train) [1][840/940] lr: 6.0000e-02 eta: 15:26:52 time: 0.4627 data_time: 0.0407 memory: 13616 grad_norm: 2.7380 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.7689 loss: 2.7689 2022/08/01 06:24:40 - mmengine - INFO - Epoch(train) [1][860/940] lr: 6.0000e-02 eta: 15:26:59 time: 0.6058 data_time: 0.0478 memory: 13616 grad_norm: 2.7253 top1_acc: 0.4062 top5_acc: 0.5625 loss_cls: 2.9075 loss: 2.9075 2022/08/01 06:24:49 - mmengine - INFO - Epoch(train) [1][880/940] lr: 6.0000e-02 eta: 15:21:38 time: 0.4511 data_time: 0.0352 memory: 13616 grad_norm: 2.6585 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.7249 loss: 2.7249 2022/08/01 06:25:01 - mmengine - INFO - Epoch(train) [1][900/940] lr: 6.0000e-02 eta: 15:20:45 time: 0.5739 data_time: 0.0340 memory: 13616 grad_norm: 2.6738 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9072 loss: 2.9072 2022/08/01 06:25:11 - mmengine - INFO - Epoch(train) [1][920/940] lr: 6.0000e-02 eta: 15:17:41 time: 0.5080 data_time: 0.0378 memory: 13616 grad_norm: 2.6259 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.7212 loss: 2.7212 2022/08/01 06:25:21 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 06:25:21 - mmengine - INFO - Epoch(train) [1][940/940] lr: 6.0000e-02 eta: 15:14:28 time: 0.5000 data_time: 0.0278 memory: 13616 grad_norm: 2.7933 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.8645 loss: 2.8645 2022/08/01 06:28:35 - mmengine - INFO - Epoch(val) [1][20/78] eta: 0:09:22 time: 9.6917 data_time: 8.7981 memory: 22904 2022/08/01 06:29:49 - mmengine - INFO - Epoch(val) [1][40/78] eta: 0:02:21 time: 3.7345 data_time: 2.9896 memory: 19674 2022/08/01 06:31:24 - mmengine - INFO - Epoch(val) [1][60/78] eta: 0:01:24 time: 4.7137 data_time: 3.9535 memory: 19674 2022/08/01 06:33:05 - mmengine - INFO - Epoch(val) [1][78/78] acc/top1: 0.4607 acc/top5: 0.7286 acc/mean1: 0.4608 2022/08/01 06:33:06 - mmengine - INFO - The best checkpoint with 0.4607 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/01 06:33:20 - mmengine - INFO - Epoch(train) [2][20/940] lr: 6.0000e-02 eta: 15:16:58 time: 0.6732 data_time: 0.3415 memory: 19674 grad_norm: 2.6573 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.7108 loss: 2.7108 2022/08/01 06:33:30 - mmengine - INFO - Epoch(train) [2][40/940] lr: 6.0000e-02 eta: 15:13:54 time: 0.5006 data_time: 0.0342 memory: 13609 grad_norm: 2.6864 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7087 loss: 2.7087 2022/08/01 06:33:42 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 06:33:42 - mmengine - INFO - Epoch(train) [2][60/940] lr: 6.0000e-02 eta: 15:14:24 time: 0.6121 data_time: 0.1020 memory: 13609 grad_norm: 2.6402 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7419 loss: 2.7419 2022/08/01 06:33:51 - mmengine - INFO - Epoch(train) [2][80/940] lr: 6.0000e-02 eta: 15:10:20 time: 0.4625 data_time: 0.0329 memory: 13609 grad_norm: 2.6656 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.8345 loss: 2.8345 2022/08/01 06:34:02 - mmengine - INFO - Epoch(train) [2][100/940] lr: 6.0000e-02 eta: 15:09:04 time: 0.5513 data_time: 0.0395 memory: 13609 grad_norm: 2.6680 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6800 loss: 2.6800 2022/08/01 06:34:13 - mmengine - INFO - Epoch(train) [2][120/940] lr: 6.0000e-02 eta: 15:06:46 time: 0.5151 data_time: 0.0327 memory: 13609 grad_norm: 2.6937 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.8308 loss: 2.8308 2022/08/01 06:34:23 - mmengine - INFO - Epoch(train) [2][140/940] lr: 6.0000e-02 eta: 15:05:07 time: 0.5347 data_time: 0.0402 memory: 13609 grad_norm: 2.6259 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.9129 loss: 2.9129 2022/08/01 06:34:33 - mmengine - INFO - Epoch(train) [2][160/940] lr: 6.0000e-02 eta: 15:01:34 time: 0.4653 data_time: 0.0341 memory: 13609 grad_norm: 2.6289 top1_acc: 0.1875 top5_acc: 0.4688 loss_cls: 2.8910 loss: 2.8910 2022/08/01 06:34:43 - mmengine - INFO - Epoch(train) [2][180/940] lr: 6.0000e-02 eta: 15:00:13 time: 0.5402 data_time: 0.0355 memory: 13609 grad_norm: 2.6778 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7194 loss: 2.7194 2022/08/01 06:34:53 - mmengine - INFO - Epoch(train) [2][200/940] lr: 6.0000e-02 eta: 14:57:17 time: 0.4809 data_time: 0.0380 memory: 13609 grad_norm: 2.6704 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.6824 loss: 2.6824 2022/08/01 06:35:04 - mmengine - INFO - Epoch(train) [2][220/940] lr: 6.0000e-02 eta: 14:56:31 time: 0.5581 data_time: 0.0334 memory: 13609 grad_norm: 2.6388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8355 loss: 2.8355 2022/08/01 06:35:14 - mmengine - INFO - Epoch(train) [2][240/940] lr: 6.0000e-02 eta: 14:54:28 time: 0.5086 data_time: 0.0329 memory: 13609 grad_norm: 2.6636 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7067 loss: 2.7067 2022/08/01 06:35:26 - mmengine - INFO - Epoch(train) [2][260/940] lr: 6.0000e-02 eta: 14:53:49 time: 0.5603 data_time: 0.0460 memory: 13609 grad_norm: 2.6617 top1_acc: 0.2812 top5_acc: 0.5938 loss_cls: 2.7346 loss: 2.7346 2022/08/01 06:35:36 - mmengine - INFO - Epoch(train) [2][280/940] lr: 6.0000e-02 eta: 14:52:22 time: 0.5285 data_time: 0.0352 memory: 13609 grad_norm: 2.6822 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.7197 loss: 2.7197 2022/08/01 06:35:47 - mmengine - INFO - Epoch(train) [2][300/940] lr: 6.0000e-02 eta: 14:51:18 time: 0.5417 data_time: 0.1789 memory: 13609 grad_norm: 2.6554 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.7547 loss: 2.7547 2022/08/01 06:35:58 - mmengine - INFO - Epoch(train) [2][320/940] lr: 6.0000e-02 eta: 14:50:56 time: 0.5697 data_time: 0.0359 memory: 13609 grad_norm: 2.6608 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.7677 loss: 2.7677 2022/08/01 06:36:08 - mmengine - INFO - Epoch(train) [2][340/940] lr: 6.0000e-02 eta: 14:48:23 time: 0.4790 data_time: 0.0334 memory: 13609 grad_norm: 2.6282 top1_acc: 0.2812 top5_acc: 0.5312 loss_cls: 2.7398 loss: 2.7398 2022/08/01 06:36:20 - mmengine - INFO - Epoch(train) [2][360/940] lr: 6.0000e-02 eta: 14:48:26 time: 0.5849 data_time: 0.0327 memory: 13609 grad_norm: 2.6155 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6700 loss: 2.6700 2022/08/01 06:36:29 - mmengine - INFO - Epoch(train) [2][380/940] lr: 6.0000e-02 eta: 14:45:36 time: 0.4617 data_time: 0.0381 memory: 13609 grad_norm: 2.6343 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.7613 loss: 2.7613 2022/08/01 06:36:42 - mmengine - INFO - Epoch(train) [2][400/940] lr: 6.0000e-02 eta: 14:47:12 time: 0.6511 data_time: 0.0446 memory: 13609 grad_norm: 2.6595 top1_acc: 0.2500 top5_acc: 0.4688 loss_cls: 2.7658 loss: 2.7658 2022/08/01 06:36:51 - mmengine - INFO - Epoch(train) [2][420/940] lr: 6.0000e-02 eta: 14:44:48 time: 0.4777 data_time: 0.0388 memory: 13609 grad_norm: 2.6849 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.5417 loss: 2.5417 2022/08/01 06:37:02 - mmengine - INFO - Epoch(train) [2][440/940] lr: 6.0000e-02 eta: 14:43:47 time: 0.5362 data_time: 0.0330 memory: 13609 grad_norm: 2.6573 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.7770 loss: 2.7770 2022/08/01 06:37:13 - mmengine - INFO - Epoch(train) [2][460/940] lr: 6.0000e-02 eta: 14:42:40 time: 0.5303 data_time: 0.0357 memory: 13609 grad_norm: 2.6010 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.5835 loss: 2.5835 2022/08/01 06:37:23 - mmengine - INFO - Epoch(train) [2][480/940] lr: 6.0000e-02 eta: 14:41:26 time: 0.5237 data_time: 0.0345 memory: 13609 grad_norm: 2.6363 top1_acc: 0.2812 top5_acc: 0.7500 loss_cls: 2.5326 loss: 2.5326 2022/08/01 06:37:32 - mmengine - INFO - Epoch(train) [2][500/940] lr: 6.0000e-02 eta: 14:38:28 time: 0.4422 data_time: 0.0431 memory: 13609 grad_norm: 2.6063 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6751 loss: 2.6751 2022/08/01 06:37:42 - mmengine - INFO - Epoch(train) [2][520/940] lr: 6.0000e-02 eta: 14:36:46 time: 0.4979 data_time: 0.0478 memory: 13609 grad_norm: 2.6569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.6094 loss: 2.6094 2022/08/01 06:37:54 - mmengine - INFO - Epoch(train) [2][540/940] lr: 6.0000e-02 eta: 14:36:42 time: 0.5744 data_time: 0.0407 memory: 13609 grad_norm: 2.6380 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6279 loss: 2.6279 2022/08/01 06:38:04 - mmengine - INFO - Epoch(train) [2][560/940] lr: 6.0000e-02 eta: 14:35:02 time: 0.4968 data_time: 0.0355 memory: 13609 grad_norm: 2.5998 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.7893 loss: 2.7893 2022/08/01 06:38:15 - mmengine - INFO - Epoch(train) [2][580/940] lr: 6.0000e-02 eta: 14:34:33 time: 0.5530 data_time: 0.0433 memory: 13609 grad_norm: 2.5949 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6083 loss: 2.6083 2022/08/01 06:38:25 - mmengine - INFO - Epoch(train) [2][600/940] lr: 6.0000e-02 eta: 14:33:38 time: 0.5306 data_time: 0.0340 memory: 13609 grad_norm: 2.5822 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.7058 loss: 2.7058 2022/08/01 06:38:35 - mmengine - INFO - Epoch(train) [2][620/940] lr: 6.0000e-02 eta: 14:31:55 time: 0.4896 data_time: 0.0368 memory: 13609 grad_norm: 2.5841 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6510 loss: 2.6510 2022/08/01 06:38:46 - mmengine - INFO - Epoch(train) [2][640/940] lr: 6.0000e-02 eta: 14:31:25 time: 0.5505 data_time: 0.0434 memory: 13609 grad_norm: 2.6340 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.7590 loss: 2.7590 2022/08/01 06:38:57 - mmengine - INFO - Epoch(train) [2][660/940] lr: 6.0000e-02 eta: 14:30:27 time: 0.5251 data_time: 0.0322 memory: 13609 grad_norm: 2.5433 top1_acc: 0.2500 top5_acc: 0.5938 loss_cls: 2.7872 loss: 2.7872 2022/08/01 06:39:06 - mmengine - INFO - Epoch(train) [2][680/940] lr: 6.0000e-02 eta: 14:28:42 time: 0.4830 data_time: 0.0655 memory: 13609 grad_norm: 2.5335 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.6765 loss: 2.6765 2022/08/01 06:39:17 - mmengine - INFO - Epoch(train) [2][700/940] lr: 6.0000e-02 eta: 14:28:26 time: 0.5601 data_time: 0.0692 memory: 13609 grad_norm: 2.5219 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.6740 loss: 2.6740 2022/08/01 06:39:27 - mmengine - INFO - Epoch(train) [2][720/940] lr: 6.0000e-02 eta: 14:27:06 time: 0.5024 data_time: 0.0858 memory: 13609 grad_norm: 2.5248 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.6682 loss: 2.6682 2022/08/01 06:39:38 - mmengine - INFO - Epoch(train) [2][740/940] lr: 6.0000e-02 eta: 14:26:26 time: 0.5370 data_time: 0.0691 memory: 13609 grad_norm: 2.5680 top1_acc: 0.2812 top5_acc: 0.5312 loss_cls: 2.7485 loss: 2.7485 2022/08/01 06:39:49 - mmengine - INFO - Epoch(train) [2][760/940] lr: 6.0000e-02 eta: 14:25:46 time: 0.5371 data_time: 0.1634 memory: 13609 grad_norm: 2.5895 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.6656 loss: 2.6656 2022/08/01 06:39:59 - mmengine - INFO - Epoch(train) [2][780/940] lr: 6.0000e-02 eta: 14:24:29 time: 0.5013 data_time: 0.1524 memory: 13609 grad_norm: 2.5316 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.6420 loss: 2.6420 2022/08/01 06:40:10 - mmengine - INFO - Epoch(train) [2][800/940] lr: 6.0000e-02 eta: 14:23:54 time: 0.5401 data_time: 0.1413 memory: 13609 grad_norm: 2.6198 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7266 loss: 2.7266 2022/08/01 06:40:21 - mmengine - INFO - Epoch(train) [2][820/940] lr: 6.0000e-02 eta: 14:23:27 time: 0.5462 data_time: 0.0372 memory: 13609 grad_norm: 2.5603 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.6490 loss: 2.6490 2022/08/01 06:40:31 - mmengine - INFO - Epoch(train) [2][840/940] lr: 6.0000e-02 eta: 14:22:21 time: 0.5088 data_time: 0.0371 memory: 13609 grad_norm: 2.5419 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.5960 loss: 2.5960 2022/08/01 06:40:42 - mmengine - INFO - Epoch(train) [2][860/940] lr: 6.0000e-02 eta: 14:21:56 time: 0.5480 data_time: 0.0369 memory: 13609 grad_norm: 2.5722 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6862 loss: 2.6862 2022/08/01 06:40:51 - mmengine - INFO - Epoch(train) [2][880/940] lr: 6.0000e-02 eta: 14:20:24 time: 0.4808 data_time: 0.0358 memory: 13609 grad_norm: 2.5726 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5972 loss: 2.5972 2022/08/01 06:41:03 - mmengine - INFO - Epoch(train) [2][900/940] lr: 6.0000e-02 eta: 14:20:17 time: 0.5643 data_time: 0.0355 memory: 13609 grad_norm: 2.5650 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.7066 loss: 2.7066 2022/08/01 06:41:13 - mmengine - INFO - Epoch(train) [2][920/940] lr: 6.0000e-02 eta: 14:19:30 time: 0.5236 data_time: 0.0344 memory: 13609 grad_norm: 2.6155 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6217 loss: 2.6217 2022/08/01 06:41:23 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 06:41:23 - mmengine - INFO - Epoch(train) [2][940/940] lr: 6.0000e-02 eta: 14:17:59 time: 0.4785 data_time: 0.0232 memory: 13609 grad_norm: 2.7022 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.6484 loss: 2.6484 2022/08/01 06:43:09 - mmengine - INFO - Epoch(val) [2][20/78] eta: 0:05:09 time: 5.3287 data_time: 4.5565 memory: 19674 2022/08/01 06:44:20 - mmengine - INFO - Epoch(val) [2][40/78] eta: 0:02:14 time: 3.5426 data_time: 2.7813 memory: 19674 2022/08/01 06:45:56 - mmengine - INFO - Epoch(val) [2][60/78] eta: 0:01:26 time: 4.7975 data_time: 4.0359 memory: 19674 2022/08/01 06:47:10 - mmengine - INFO - Epoch(val) [2][78/78] acc/top1: 0.4934 acc/top5: 0.7559 acc/mean1: 0.4933 2022/08/01 06:47:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_2.pth is removed 2022/08/01 06:47:11 - mmengine - INFO - The best checkpoint with 0.4934 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/01 06:47:25 - mmengine - INFO - Epoch(train) [3][20/940] lr: 6.0000e-02 eta: 14:19:44 time: 0.6792 data_time: 0.3875 memory: 19674 grad_norm: 2.5941 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.5084 loss: 2.5084 2022/08/01 06:47:35 - mmengine - INFO - Epoch(train) [3][40/940] lr: 6.0000e-02 eta: 14:18:34 time: 0.4980 data_time: 0.2027 memory: 13609 grad_norm: 2.5595 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.5329 loss: 2.5329 2022/08/01 06:47:47 - mmengine - INFO - Epoch(train) [3][60/940] lr: 6.0000e-02 eta: 14:18:50 time: 0.5881 data_time: 0.2816 memory: 13609 grad_norm: 2.5438 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.5311 loss: 2.5311 2022/08/01 06:47:56 - mmengine - INFO - Epoch(train) [3][80/940] lr: 6.0000e-02 eta: 14:16:55 time: 0.4495 data_time: 0.1277 memory: 13609 grad_norm: 2.5866 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.5184 loss: 2.5184 2022/08/01 06:48:07 - mmengine - INFO - Epoch(train) [3][100/940] lr: 6.0000e-02 eta: 14:16:48 time: 0.5630 data_time: 0.1460 memory: 13609 grad_norm: 2.5862 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.5952 loss: 2.5952 2022/08/01 06:48:17 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 06:48:17 - mmengine - INFO - Epoch(train) [3][120/940] lr: 6.0000e-02 eta: 14:15:28 time: 0.4846 data_time: 0.0318 memory: 13609 grad_norm: 2.5496 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.4979 loss: 2.4979 2022/08/01 06:48:28 - mmengine - INFO - Epoch(train) [3][140/940] lr: 6.0000e-02 eta: 14:15:26 time: 0.5678 data_time: 0.0980 memory: 13609 grad_norm: 2.5570 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.5732 loss: 2.5732 2022/08/01 06:48:37 - mmengine - INFO - Epoch(train) [3][160/940] lr: 6.0000e-02 eta: 14:13:43 time: 0.4557 data_time: 0.0319 memory: 13609 grad_norm: 2.5601 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 2.5153 loss: 2.5153 2022/08/01 06:48:49 - mmengine - INFO - Epoch(train) [3][180/940] lr: 6.0000e-02 eta: 14:13:43 time: 0.5700 data_time: 0.0404 memory: 13609 grad_norm: 2.5875 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.5985 loss: 2.5985 2022/08/01 06:48:59 - mmengine - INFO - Epoch(train) [3][200/940] lr: 6.0000e-02 eta: 14:12:39 time: 0.4971 data_time: 0.0341 memory: 13609 grad_norm: 2.6198 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4002 loss: 2.4002 2022/08/01 06:49:10 - mmengine - INFO - Epoch(train) [3][220/940] lr: 6.0000e-02 eta: 14:13:04 time: 0.5977 data_time: 0.0350 memory: 13609 grad_norm: 2.5637 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 2.4106 loss: 2.4106 2022/08/01 06:49:21 - mmengine - INFO - Epoch(train) [3][240/940] lr: 6.0000e-02 eta: 14:12:08 time: 0.5048 data_time: 0.0301 memory: 13609 grad_norm: 2.5691 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5281 loss: 2.5281 2022/08/01 06:49:32 - mmengine - INFO - Epoch(train) [3][260/940] lr: 6.0000e-02 eta: 14:11:56 time: 0.5563 data_time: 0.0492 memory: 13609 grad_norm: 2.5604 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6705 loss: 2.6705 2022/08/01 06:49:41 - mmengine - INFO - Epoch(train) [3][280/940] lr: 6.0000e-02 eta: 14:10:46 time: 0.4866 data_time: 0.0337 memory: 13609 grad_norm: 2.5241 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6164 loss: 2.6164 2022/08/01 06:49:52 - mmengine - INFO - Epoch(train) [3][300/940] lr: 6.0000e-02 eta: 14:10:16 time: 0.5333 data_time: 0.0355 memory: 13609 grad_norm: 2.5844 top1_acc: 0.3125 top5_acc: 0.7188 loss_cls: 2.4417 loss: 2.4417 2022/08/01 06:50:02 - mmengine - INFO - Epoch(train) [3][320/940] lr: 6.0000e-02 eta: 14:09:01 time: 0.4793 data_time: 0.0466 memory: 13609 grad_norm: 2.5446 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6162 loss: 2.6162 2022/08/01 06:50:13 - mmengine - INFO - Epoch(train) [3][340/940] lr: 6.0000e-02 eta: 14:08:49 time: 0.5544 data_time: 0.0440 memory: 13609 grad_norm: 2.5384 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.6002 loss: 2.6002 2022/08/01 06:50:23 - mmengine - INFO - Epoch(train) [3][360/940] lr: 6.0000e-02 eta: 14:07:58 time: 0.5064 data_time: 0.1106 memory: 13609 grad_norm: 2.5683 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.4921 loss: 2.4921 2022/08/01 06:50:34 - mmengine - INFO - Epoch(train) [3][380/940] lr: 6.0000e-02 eta: 14:08:08 time: 0.5793 data_time: 0.1714 memory: 13609 grad_norm: 2.5426 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.5783 loss: 2.5783 2022/08/01 06:50:44 - mmengine - INFO - Epoch(train) [3][400/940] lr: 6.0000e-02 eta: 14:06:53 time: 0.4763 data_time: 0.1465 memory: 13609 grad_norm: 2.5225 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.6040 loss: 2.6040 2022/08/01 06:50:55 - mmengine - INFO - Epoch(train) [3][420/940] lr: 6.0000e-02 eta: 14:06:52 time: 0.5667 data_time: 0.2585 memory: 13609 grad_norm: 2.5545 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.5215 loss: 2.5215 2022/08/01 06:51:05 - mmengine - INFO - Epoch(train) [3][440/940] lr: 6.0000e-02 eta: 14:05:34 time: 0.4683 data_time: 0.1347 memory: 13609 grad_norm: 2.5100 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.6820 loss: 2.6820 2022/08/01 06:51:16 - mmengine - INFO - Epoch(train) [3][460/940] lr: 6.0000e-02 eta: 14:05:23 time: 0.5536 data_time: 0.2449 memory: 13609 grad_norm: 2.5826 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4302 loss: 2.4302 2022/08/01 06:51:25 - mmengine - INFO - Epoch(train) [3][480/940] lr: 6.0000e-02 eta: 14:04:07 time: 0.4698 data_time: 0.1153 memory: 13609 grad_norm: 2.5718 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.6275 loss: 2.6275 2022/08/01 06:51:36 - mmengine - INFO - Epoch(train) [3][500/940] lr: 6.0000e-02 eta: 14:03:39 time: 0.5316 data_time: 0.0768 memory: 13609 grad_norm: 2.5287 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.4556 loss: 2.4556 2022/08/01 06:51:48 - mmengine - INFO - Epoch(train) [3][520/940] lr: 6.0000e-02 eta: 14:03:58 time: 0.5906 data_time: 0.0543 memory: 13609 grad_norm: 2.5661 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.5009 loss: 2.5009 2022/08/01 06:52:02 - mmengine - INFO - Epoch(train) [3][540/940] lr: 6.0000e-02 eta: 14:06:05 time: 0.7361 data_time: 0.0329 memory: 13609 grad_norm: 2.5886 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.6470 loss: 2.6470 2022/08/01 06:52:11 - mmengine - INFO - Epoch(train) [3][560/940] lr: 6.0000e-02 eta: 14:04:26 time: 0.4364 data_time: 0.0389 memory: 13609 grad_norm: 2.5680 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.5502 loss: 2.5502 2022/08/01 06:52:23 - mmengine - INFO - Epoch(train) [3][580/940] lr: 6.0000e-02 eta: 14:04:31 time: 0.5760 data_time: 0.0386 memory: 13609 grad_norm: 2.5484 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6237 loss: 2.6237 2022/08/01 06:52:31 - mmengine - INFO - Epoch(train) [3][600/940] lr: 6.0000e-02 eta: 14:02:55 time: 0.4380 data_time: 0.0341 memory: 13609 grad_norm: 2.5242 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.5051 loss: 2.5051 2022/08/01 06:52:44 - mmengine - INFO - Epoch(train) [3][620/940] lr: 6.0000e-02 eta: 14:03:46 time: 0.6381 data_time: 0.0329 memory: 13609 grad_norm: 2.5593 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.5550 loss: 2.5550 2022/08/01 06:52:52 - mmengine - INFO - Epoch(train) [3][640/940] lr: 6.0000e-02 eta: 14:01:37 time: 0.3906 data_time: 0.0391 memory: 13609 grad_norm: 2.4998 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.5387 loss: 2.5387 2022/08/01 06:53:03 - mmengine - INFO - Epoch(train) [3][660/940] lr: 6.0000e-02 eta: 14:01:15 time: 0.5360 data_time: 0.0345 memory: 13609 grad_norm: 2.5500 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.6395 loss: 2.6395 2022/08/01 06:53:13 - mmengine - INFO - Epoch(train) [3][680/940] lr: 6.0000e-02 eta: 14:00:24 time: 0.4960 data_time: 0.0352 memory: 13609 grad_norm: 2.4927 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4316 loss: 2.4316 2022/08/01 06:53:24 - mmengine - INFO - Epoch(train) [3][700/940] lr: 6.0000e-02 eta: 14:00:21 time: 0.5632 data_time: 0.0389 memory: 13609 grad_norm: 2.5956 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.6680 loss: 2.6680 2022/08/01 06:53:34 - mmengine - INFO - Epoch(train) [3][720/940] lr: 6.0000e-02 eta: 13:59:39 time: 0.5071 data_time: 0.0331 memory: 13609 grad_norm: 2.4888 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5753 loss: 2.5753 2022/08/01 06:53:46 - mmengine - INFO - Epoch(train) [3][740/940] lr: 6.0000e-02 eta: 13:59:56 time: 0.5913 data_time: 0.0402 memory: 13609 grad_norm: 2.5392 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.5668 loss: 2.5668 2022/08/01 06:53:56 - mmengine - INFO - Epoch(train) [3][760/940] lr: 6.0000e-02 eta: 13:59:02 time: 0.4901 data_time: 0.0328 memory: 13609 grad_norm: 2.5203 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6367 loss: 2.6367 2022/08/01 06:54:07 - mmengine - INFO - Epoch(train) [3][780/940] lr: 6.0000e-02 eta: 13:59:03 time: 0.5689 data_time: 0.0320 memory: 13609 grad_norm: 2.4734 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.4381 loss: 2.4381 2022/08/01 06:54:17 - mmengine - INFO - Epoch(train) [3][800/940] lr: 6.0000e-02 eta: 13:58:12 time: 0.4925 data_time: 0.0383 memory: 13609 grad_norm: 2.4940 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.4418 loss: 2.4418 2022/08/01 06:54:28 - mmengine - INFO - Epoch(train) [3][820/940] lr: 6.0000e-02 eta: 13:58:03 time: 0.5530 data_time: 0.0327 memory: 13609 grad_norm: 2.4880 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4463 loss: 2.4463 2022/08/01 06:54:37 - mmengine - INFO - Epoch(train) [3][840/940] lr: 6.0000e-02 eta: 13:56:48 time: 0.4561 data_time: 0.0408 memory: 13609 grad_norm: 2.4765 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.7222 loss: 2.7222 2022/08/01 06:54:48 - mmengine - INFO - Epoch(train) [3][860/940] lr: 6.0000e-02 eta: 13:56:34 time: 0.5445 data_time: 0.0460 memory: 13609 grad_norm: 2.4872 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5950 loss: 2.5950 2022/08/01 06:54:58 - mmengine - INFO - Epoch(train) [3][880/940] lr: 6.0000e-02 eta: 13:55:44 time: 0.4923 data_time: 0.0396 memory: 13609 grad_norm: 2.4570 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.5034 loss: 2.5034 2022/08/01 06:55:09 - mmengine - INFO - Epoch(train) [3][900/940] lr: 6.0000e-02 eta: 13:55:48 time: 0.5710 data_time: 0.0523 memory: 13609 grad_norm: 2.4769 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.5601 loss: 2.5601 2022/08/01 06:55:19 - mmengine - INFO - Epoch(train) [3][920/940] lr: 6.0000e-02 eta: 13:54:55 time: 0.4867 data_time: 0.0286 memory: 13609 grad_norm: 2.5171 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.5355 loss: 2.5355 2022/08/01 06:55:28 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 06:55:28 - mmengine - INFO - Epoch(train) [3][940/940] lr: 6.0000e-02 eta: 13:53:43 time: 0.4548 data_time: 0.0215 memory: 13609 grad_norm: 2.6767 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.4136 loss: 2.4136 2022/08/01 06:55:28 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/01 06:57:16 - mmengine - INFO - Epoch(val) [3][20/78] eta: 0:05:07 time: 5.3040 data_time: 4.5351 memory: 19674 2022/08/01 06:58:29 - mmengine - INFO - Epoch(val) [3][40/78] eta: 0:02:17 time: 3.6226 data_time: 2.8741 memory: 19674 2022/08/01 07:00:04 - mmengine - INFO - Epoch(val) [3][60/78] eta: 0:01:25 time: 4.7467 data_time: 3.9987 memory: 19674 2022/08/01 07:01:15 - mmengine - INFO - Epoch(val) [3][78/78] acc/top1: 0.5209 acc/top5: 0.7737 acc/mean1: 0.5207 2022/08/01 07:01:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_3.pth is removed 2022/08/01 07:01:17 - mmengine - INFO - The best checkpoint with 0.5209 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/01 07:01:31 - mmengine - INFO - Epoch(train) [4][20/940] lr: 6.0000e-02 eta: 13:55:06 time: 0.6941 data_time: 0.4034 memory: 19674 grad_norm: 2.4809 top1_acc: 0.3438 top5_acc: 0.8438 loss_cls: 2.4914 loss: 2.4914 2022/08/01 07:01:41 - mmengine - INFO - Epoch(train) [4][40/940] lr: 6.0000e-02 eta: 13:54:13 time: 0.4838 data_time: 0.1931 memory: 13609 grad_norm: 2.5172 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5000 loss: 2.5000 2022/08/01 07:01:52 - mmengine - INFO - Epoch(train) [4][60/940] lr: 6.0000e-02 eta: 13:54:20 time: 0.5784 data_time: 0.2558 memory: 13609 grad_norm: 2.5431 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.4370 loss: 2.4370 2022/08/01 07:02:02 - mmengine - INFO - Epoch(train) [4][80/940] lr: 6.0000e-02 eta: 13:53:28 time: 0.4833 data_time: 0.1740 memory: 13609 grad_norm: 2.5032 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4684 loss: 2.4684 2022/08/01 07:02:13 - mmengine - INFO - Epoch(train) [4][100/940] lr: 6.0000e-02 eta: 13:53:28 time: 0.5675 data_time: 0.2224 memory: 13609 grad_norm: 2.5206 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4656 loss: 2.4656 2022/08/01 07:02:23 - mmengine - INFO - Epoch(train) [4][120/940] lr: 6.0000e-02 eta: 13:52:33 time: 0.4779 data_time: 0.1905 memory: 13609 grad_norm: 2.4705 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.4749 loss: 2.4749 2022/08/01 07:02:34 - mmengine - INFO - Epoch(train) [4][140/940] lr: 6.0000e-02 eta: 13:52:24 time: 0.5520 data_time: 0.2678 memory: 13609 grad_norm: 2.5396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4182 loss: 2.4182 2022/08/01 07:02:43 - mmengine - INFO - Epoch(train) [4][160/940] lr: 6.0000e-02 eta: 13:51:26 time: 0.4712 data_time: 0.1888 memory: 13609 grad_norm: 2.4781 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.6306 loss: 2.6306 2022/08/01 07:02:54 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:02:54 - mmengine - INFO - Epoch(train) [4][180/940] lr: 6.0000e-02 eta: 13:51:25 time: 0.5641 data_time: 0.2623 memory: 13609 grad_norm: 2.5269 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.3701 loss: 2.3701 2022/08/01 07:03:04 - mmengine - INFO - Epoch(train) [4][200/940] lr: 6.0000e-02 eta: 13:50:43 time: 0.4964 data_time: 0.2044 memory: 13609 grad_norm: 2.4861 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3274 loss: 2.3274 2022/08/01 07:03:15 - mmengine - INFO - Epoch(train) [4][220/940] lr: 6.0000e-02 eta: 13:50:37 time: 0.5573 data_time: 0.2413 memory: 13609 grad_norm: 2.5461 top1_acc: 0.3438 top5_acc: 0.5312 loss_cls: 2.4391 loss: 2.4391 2022/08/01 07:03:26 - mmengine - INFO - Epoch(train) [4][240/940] lr: 6.0000e-02 eta: 13:50:04 time: 0.5104 data_time: 0.2218 memory: 13609 grad_norm: 2.5147 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3430 loss: 2.3430 2022/08/01 07:03:36 - mmengine - INFO - Epoch(train) [4][260/940] lr: 6.0000e-02 eta: 13:49:44 time: 0.5323 data_time: 0.2215 memory: 13609 grad_norm: 2.5018 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.4066 loss: 2.4066 2022/08/01 07:03:47 - mmengine - INFO - Epoch(train) [4][280/940] lr: 6.0000e-02 eta: 13:49:26 time: 0.5349 data_time: 0.2373 memory: 13609 grad_norm: 2.4842 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.4317 loss: 2.4317 2022/08/01 07:03:57 - mmengine - INFO - Epoch(train) [4][300/940] lr: 6.0000e-02 eta: 13:48:47 time: 0.5003 data_time: 0.2118 memory: 13609 grad_norm: 2.4950 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.3450 loss: 2.3450 2022/08/01 07:04:09 - mmengine - INFO - Epoch(train) [4][320/940] lr: 6.0000e-02 eta: 13:48:51 time: 0.5732 data_time: 0.2782 memory: 13609 grad_norm: 2.5291 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.3390 loss: 2.3390 2022/08/01 07:04:18 - mmengine - INFO - Epoch(train) [4][340/940] lr: 6.0000e-02 eta: 13:48:04 time: 0.4841 data_time: 0.1245 memory: 13609 grad_norm: 2.5469 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3740 loss: 2.3740 2022/08/01 07:04:29 - mmengine - INFO - Epoch(train) [4][360/940] lr: 6.0000e-02 eta: 13:47:43 time: 0.5284 data_time: 0.2210 memory: 13609 grad_norm: 2.4847 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.4146 loss: 2.4146 2022/08/01 07:04:39 - mmengine - INFO - Epoch(train) [4][380/940] lr: 6.0000e-02 eta: 13:47:13 time: 0.5132 data_time: 0.2051 memory: 13609 grad_norm: 2.4856 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.4949 loss: 2.4949 2022/08/01 07:04:51 - mmengine - INFO - Epoch(train) [4][400/940] lr: 6.0000e-02 eta: 13:47:23 time: 0.5847 data_time: 0.2645 memory: 13609 grad_norm: 2.4532 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.3600 loss: 2.3600 2022/08/01 07:05:01 - mmengine - INFO - Epoch(train) [4][420/940] lr: 6.0000e-02 eta: 13:46:49 time: 0.5061 data_time: 0.1819 memory: 13609 grad_norm: 2.4656 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.3665 loss: 2.3665 2022/08/01 07:05:12 - mmengine - INFO - Epoch(train) [4][440/940] lr: 6.0000e-02 eta: 13:46:34 time: 0.5389 data_time: 0.2366 memory: 13609 grad_norm: 2.4912 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.3122 loss: 2.3122 2022/08/01 07:05:24 - mmengine - INFO - Epoch(train) [4][460/940] lr: 6.0000e-02 eta: 13:46:56 time: 0.6048 data_time: 0.1236 memory: 13609 grad_norm: 2.4952 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2522 loss: 2.2522 2022/08/01 07:05:34 - mmengine - INFO - Epoch(train) [4][480/940] lr: 6.0000e-02 eta: 13:46:22 time: 0.5066 data_time: 0.0334 memory: 13609 grad_norm: 2.4839 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.5133 loss: 2.5133 2022/08/01 07:05:45 - mmengine - INFO - Epoch(train) [4][500/940] lr: 6.0000e-02 eta: 13:46:05 time: 0.5350 data_time: 0.0419 memory: 13609 grad_norm: 2.4565 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.3691 loss: 2.3691 2022/08/01 07:05:55 - mmengine - INFO - Epoch(train) [4][520/940] lr: 6.0000e-02 eta: 13:45:45 time: 0.5303 data_time: 0.0324 memory: 13609 grad_norm: 2.4418 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5403 loss: 2.5403 2022/08/01 07:06:06 - mmengine - INFO - Epoch(train) [4][540/940] lr: 6.0000e-02 eta: 13:45:28 time: 0.5344 data_time: 0.0286 memory: 13609 grad_norm: 2.4552 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.4010 loss: 2.4010 2022/08/01 07:06:15 - mmengine - INFO - Epoch(train) [4][560/940] lr: 6.0000e-02 eta: 13:44:27 time: 0.4528 data_time: 0.0325 memory: 13609 grad_norm: 2.4499 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.3120 loss: 2.3120 2022/08/01 07:06:27 - mmengine - INFO - Epoch(train) [4][580/940] lr: 6.0000e-02 eta: 13:44:36 time: 0.5845 data_time: 0.0327 memory: 13609 grad_norm: 2.4665 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7087 loss: 2.7087 2022/08/01 07:06:36 - mmengine - INFO - Epoch(train) [4][600/940] lr: 6.0000e-02 eta: 13:43:57 time: 0.4930 data_time: 0.0471 memory: 13609 grad_norm: 2.4575 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.3416 loss: 2.3416 2022/08/01 07:06:47 - mmengine - INFO - Epoch(train) [4][620/940] lr: 6.0000e-02 eta: 13:43:28 time: 0.5109 data_time: 0.0310 memory: 13609 grad_norm: 2.5789 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4622 loss: 2.4622 2022/08/01 07:06:56 - mmengine - INFO - Epoch(train) [4][640/940] lr: 6.0000e-02 eta: 13:42:40 time: 0.4742 data_time: 0.0354 memory: 13609 grad_norm: 2.5054 top1_acc: 0.2812 top5_acc: 0.6250 loss_cls: 2.5067 loss: 2.5067 2022/08/01 07:07:07 - mmengine - INFO - Epoch(train) [4][660/940] lr: 6.0000e-02 eta: 13:42:26 time: 0.5393 data_time: 0.0692 memory: 13609 grad_norm: 2.5278 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5162 loss: 2.5162 2022/08/01 07:07:17 - mmengine - INFO - Epoch(train) [4][680/940] lr: 6.0000e-02 eta: 13:41:50 time: 0.4962 data_time: 0.1241 memory: 13609 grad_norm: 2.4581 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.4381 loss: 2.4381 2022/08/01 07:07:28 - mmengine - INFO - Epoch(train) [4][700/940] lr: 6.0000e-02 eta: 13:41:43 time: 0.5524 data_time: 0.1643 memory: 13609 grad_norm: 2.5158 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.4506 loss: 2.4506 2022/08/01 07:07:38 - mmengine - INFO - Epoch(train) [4][720/940] lr: 6.0000e-02 eta: 13:41:20 time: 0.5214 data_time: 0.1247 memory: 13609 grad_norm: 2.4609 top1_acc: 0.2812 top5_acc: 0.5625 loss_cls: 2.5346 loss: 2.5346 2022/08/01 07:07:49 - mmengine - INFO - Epoch(train) [4][740/940] lr: 6.0000e-02 eta: 13:40:54 time: 0.5149 data_time: 0.0883 memory: 13609 grad_norm: 2.5039 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5548 loss: 2.5548 2022/08/01 07:07:59 - mmengine - INFO - Epoch(train) [4][760/940] lr: 6.0000e-02 eta: 13:40:29 time: 0.5179 data_time: 0.0808 memory: 13609 grad_norm: 2.4480 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.4351 loss: 2.4351 2022/08/01 07:08:09 - mmengine - INFO - Epoch(train) [4][780/940] lr: 6.0000e-02 eta: 13:40:06 time: 0.5208 data_time: 0.1050 memory: 13609 grad_norm: 2.4607 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.3380 loss: 2.3380 2022/08/01 07:08:21 - mmengine - INFO - Epoch(train) [4][800/940] lr: 6.0000e-02 eta: 13:40:03 time: 0.5598 data_time: 0.1044 memory: 13609 grad_norm: 2.4709 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.4753 loss: 2.4753 2022/08/01 07:08:32 - mmengine - INFO - Epoch(train) [4][820/940] lr: 6.0000e-02 eta: 13:40:04 time: 0.5687 data_time: 0.0755 memory: 13609 grad_norm: 2.5196 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5158 loss: 2.5158 2022/08/01 07:08:41 - mmengine - INFO - Epoch(train) [4][840/940] lr: 6.0000e-02 eta: 13:39:11 time: 0.4586 data_time: 0.0298 memory: 13609 grad_norm: 2.4389 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.5556 loss: 2.5556 2022/08/01 07:08:51 - mmengine - INFO - Epoch(train) [4][860/940] lr: 6.0000e-02 eta: 13:38:42 time: 0.5075 data_time: 0.0329 memory: 13609 grad_norm: 2.5094 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.3317 loss: 2.3317 2022/08/01 07:09:02 - mmengine - INFO - Epoch(train) [4][880/940] lr: 6.0000e-02 eta: 13:38:35 time: 0.5503 data_time: 0.0394 memory: 13609 grad_norm: 2.4789 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.5580 loss: 2.5580 2022/08/01 07:09:13 - mmengine - INFO - Epoch(train) [4][900/940] lr: 6.0000e-02 eta: 13:38:16 time: 0.5276 data_time: 0.0370 memory: 13609 grad_norm: 2.4674 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 2.3983 loss: 2.3983 2022/08/01 07:09:23 - mmengine - INFO - Epoch(train) [4][920/940] lr: 6.0000e-02 eta: 13:37:39 time: 0.4901 data_time: 0.0393 memory: 13609 grad_norm: 2.4809 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2794 loss: 2.2794 2022/08/01 07:09:32 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:09:32 - mmengine - INFO - Epoch(train) [4][940/940] lr: 6.0000e-02 eta: 13:36:43 time: 0.4501 data_time: 0.0279 memory: 13609 grad_norm: 2.5402 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3574 loss: 2.3574 2022/08/01 07:11:17 - mmengine - INFO - Epoch(val) [4][20/78] eta: 0:05:05 time: 5.2602 data_time: 4.4993 memory: 19674 2022/08/01 07:12:30 - mmengine - INFO - Epoch(val) [4][40/78] eta: 0:02:18 time: 3.6374 data_time: 2.8778 memory: 19674 2022/08/01 07:14:05 - mmengine - INFO - Epoch(val) [4][60/78] eta: 0:01:26 time: 4.7837 data_time: 4.0329 memory: 19674 2022/08/01 07:15:19 - mmengine - INFO - Epoch(val) [4][78/78] acc/top1: 0.5494 acc/top5: 0.8034 acc/mean1: 0.5491 2022/08/01 07:15:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_4.pth is removed 2022/08/01 07:15:20 - mmengine - INFO - The best checkpoint with 0.5494 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/01 07:15:34 - mmengine - INFO - Epoch(train) [5][20/940] lr: 6.0000e-02 eta: 13:37:46 time: 0.6967 data_time: 0.4194 memory: 19674 grad_norm: 2.4863 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.3880 loss: 2.3880 2022/08/01 07:15:43 - mmengine - INFO - Epoch(train) [5][40/940] lr: 6.0000e-02 eta: 13:36:58 time: 0.4669 data_time: 0.1878 memory: 13609 grad_norm: 2.4218 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.2223 loss: 2.2223 2022/08/01 07:15:55 - mmengine - INFO - Epoch(train) [5][60/940] lr: 6.0000e-02 eta: 13:37:05 time: 0.5816 data_time: 0.1983 memory: 13609 grad_norm: 2.4890 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.4277 loss: 2.4277 2022/08/01 07:16:05 - mmengine - INFO - Epoch(train) [5][80/940] lr: 6.0000e-02 eta: 13:36:38 time: 0.5085 data_time: 0.1459 memory: 13609 grad_norm: 2.4096 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.4853 loss: 2.4853 2022/08/01 07:16:17 - mmengine - INFO - Epoch(train) [5][100/940] lr: 6.0000e-02 eta: 13:36:38 time: 0.5663 data_time: 0.0740 memory: 13609 grad_norm: 2.4876 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.3842 loss: 2.3842 2022/08/01 07:16:26 - mmengine - INFO - Epoch(train) [5][120/940] lr: 6.0000e-02 eta: 13:36:01 time: 0.4885 data_time: 0.0612 memory: 13609 grad_norm: 2.5113 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.4848 loss: 2.4848 2022/08/01 07:16:38 - mmengine - INFO - Epoch(train) [5][140/940] lr: 6.0000e-02 eta: 13:36:04 time: 0.5719 data_time: 0.0569 memory: 13609 grad_norm: 2.4464 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3475 loss: 2.3475 2022/08/01 07:16:48 - mmengine - INFO - Epoch(train) [5][160/940] lr: 6.0000e-02 eta: 13:35:28 time: 0.4885 data_time: 0.1960 memory: 13609 grad_norm: 2.4831 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5116 loss: 2.5116 2022/08/01 07:16:58 - mmengine - INFO - Epoch(train) [5][180/940] lr: 6.0000e-02 eta: 13:35:15 time: 0.5395 data_time: 0.1958 memory: 13609 grad_norm: 2.4408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3040 loss: 2.3040 2022/08/01 07:17:08 - mmengine - INFO - Epoch(train) [5][200/940] lr: 6.0000e-02 eta: 13:34:46 time: 0.5024 data_time: 0.1941 memory: 13609 grad_norm: 2.4955 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.5735 loss: 2.5735 2022/08/01 07:17:19 - mmengine - INFO - Epoch(train) [5][220/940] lr: 6.0000e-02 eta: 13:34:30 time: 0.5316 data_time: 0.2123 memory: 13609 grad_norm: 2.4619 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5626 loss: 2.5626 2022/08/01 07:17:29 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:17:29 - mmengine - INFO - Epoch(train) [5][240/940] lr: 6.0000e-02 eta: 13:34:05 time: 0.5120 data_time: 0.2140 memory: 13609 grad_norm: 2.4641 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.2498 loss: 2.2498 2022/08/01 07:17:40 - mmengine - INFO - Epoch(train) [5][260/940] lr: 6.0000e-02 eta: 13:34:00 time: 0.5554 data_time: 0.1343 memory: 13609 grad_norm: 2.4499 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3284 loss: 2.3284 2022/08/01 07:17:50 - mmengine - INFO - Epoch(train) [5][280/940] lr: 6.0000e-02 eta: 13:33:17 time: 0.4709 data_time: 0.0784 memory: 13609 grad_norm: 2.4751 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.3674 loss: 2.3674 2022/08/01 07:18:01 - mmengine - INFO - Epoch(train) [5][300/940] lr: 6.0000e-02 eta: 13:33:02 time: 0.5337 data_time: 0.0980 memory: 13609 grad_norm: 2.4477 top1_acc: 0.2812 top5_acc: 0.6562 loss_cls: 2.3283 loss: 2.3283 2022/08/01 07:18:11 - mmengine - INFO - Epoch(train) [5][320/940] lr: 6.0000e-02 eta: 13:32:45 time: 0.5269 data_time: 0.0438 memory: 13609 grad_norm: 2.5098 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.4651 loss: 2.4651 2022/08/01 07:18:22 - mmengine - INFO - Epoch(train) [5][340/940] lr: 6.0000e-02 eta: 13:32:45 time: 0.5677 data_time: 0.0393 memory: 13609 grad_norm: 2.4493 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2432 loss: 2.2432 2022/08/01 07:18:33 - mmengine - INFO - Epoch(train) [5][360/940] lr: 6.0000e-02 eta: 13:32:24 time: 0.5197 data_time: 0.0362 memory: 13609 grad_norm: 2.4850 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4034 loss: 2.4034 2022/08/01 07:18:44 - mmengine - INFO - Epoch(train) [5][380/940] lr: 6.0000e-02 eta: 13:32:27 time: 0.5737 data_time: 0.0504 memory: 13609 grad_norm: 2.4709 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.4742 loss: 2.4742 2022/08/01 07:18:53 - mmengine - INFO - Epoch(train) [5][400/940] lr: 6.0000e-02 eta: 13:31:39 time: 0.4578 data_time: 0.0384 memory: 13609 grad_norm: 2.4804 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.3631 loss: 2.3631 2022/08/01 07:19:05 - mmengine - INFO - Epoch(train) [5][420/940] lr: 6.0000e-02 eta: 13:31:52 time: 0.5973 data_time: 0.0353 memory: 13609 grad_norm: 2.4318 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.4935 loss: 2.4935 2022/08/01 07:19:14 - mmengine - INFO - Epoch(train) [5][440/940] lr: 6.0000e-02 eta: 13:30:55 time: 0.4336 data_time: 0.0406 memory: 13609 grad_norm: 2.4529 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.3287 loss: 2.3287 2022/08/01 07:19:26 - mmengine - INFO - Epoch(train) [5][460/940] lr: 6.0000e-02 eta: 13:31:17 time: 0.6195 data_time: 0.0371 memory: 13609 grad_norm: 2.4801 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.2946 loss: 2.2946 2022/08/01 07:19:35 - mmengine - INFO - Epoch(train) [5][480/940] lr: 6.0000e-02 eta: 13:30:20 time: 0.4325 data_time: 0.0425 memory: 13609 grad_norm: 2.4766 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2626 loss: 2.2626 2022/08/01 07:19:47 - mmengine - INFO - Epoch(train) [5][500/940] lr: 6.0000e-02 eta: 13:30:22 time: 0.5718 data_time: 0.0378 memory: 13609 grad_norm: 2.4897 top1_acc: 0.2812 top5_acc: 0.5625 loss_cls: 2.4954 loss: 2.4954 2022/08/01 07:19:57 - mmengine - INFO - Epoch(train) [5][520/940] lr: 6.0000e-02 eta: 13:30:00 time: 0.5148 data_time: 0.0427 memory: 13609 grad_norm: 2.4819 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.3623 loss: 2.3623 2022/08/01 07:20:08 - mmengine - INFO - Epoch(train) [5][540/940] lr: 6.0000e-02 eta: 13:29:58 time: 0.5638 data_time: 0.0343 memory: 13609 grad_norm: 2.4573 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.3892 loss: 2.3892 2022/08/01 07:20:18 - mmengine - INFO - Epoch(train) [5][560/940] lr: 6.0000e-02 eta: 13:29:37 time: 0.5180 data_time: 0.0388 memory: 13609 grad_norm: 2.4834 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3730 loss: 2.3730 2022/08/01 07:20:30 - mmengine - INFO - Epoch(train) [5][580/940] lr: 6.0000e-02 eta: 13:29:31 time: 0.5527 data_time: 0.0384 memory: 13609 grad_norm: 2.4815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4429 loss: 2.4429 2022/08/01 07:20:39 - mmengine - INFO - Epoch(train) [5][600/940] lr: 6.0000e-02 eta: 13:28:51 time: 0.4707 data_time: 0.0619 memory: 13609 grad_norm: 2.4515 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.3737 loss: 2.3737 2022/08/01 07:20:50 - mmengine - INFO - Epoch(train) [5][620/940] lr: 6.0000e-02 eta: 13:28:40 time: 0.5412 data_time: 0.0319 memory: 13609 grad_norm: 2.4826 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.3911 loss: 2.3911 2022/08/01 07:21:00 - mmengine - INFO - Epoch(train) [5][640/940] lr: 6.0000e-02 eta: 13:28:13 time: 0.5007 data_time: 0.0377 memory: 13609 grad_norm: 2.4793 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4298 loss: 2.4298 2022/08/01 07:21:11 - mmengine - INFO - Epoch(train) [5][660/940] lr: 6.0000e-02 eta: 13:28:17 time: 0.5781 data_time: 0.0349 memory: 13609 grad_norm: 2.4729 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4371 loss: 2.4371 2022/08/01 07:21:20 - mmengine - INFO - Epoch(train) [5][680/940] lr: 6.0000e-02 eta: 13:27:23 time: 0.4361 data_time: 0.0373 memory: 13609 grad_norm: 2.4650 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.2683 loss: 2.2683 2022/08/01 07:21:32 - mmengine - INFO - Epoch(train) [5][700/940] lr: 6.0000e-02 eta: 13:27:43 time: 0.6171 data_time: 0.0373 memory: 13609 grad_norm: 2.4227 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.4250 loss: 2.4250 2022/08/01 07:21:42 - mmengine - INFO - Epoch(train) [5][720/940] lr: 6.0000e-02 eta: 13:27:12 time: 0.4910 data_time: 0.0294 memory: 13609 grad_norm: 2.4315 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2693 loss: 2.2693 2022/08/01 07:21:53 - mmengine - INFO - Epoch(train) [5][740/940] lr: 6.0000e-02 eta: 13:26:55 time: 0.5249 data_time: 0.0343 memory: 13609 grad_norm: 2.4522 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.3540 loss: 2.3540 2022/08/01 07:22:02 - mmengine - INFO - Epoch(train) [5][760/940] lr: 6.0000e-02 eta: 13:26:19 time: 0.4764 data_time: 0.0354 memory: 13609 grad_norm: 2.4123 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.3275 loss: 2.3275 2022/08/01 07:22:14 - mmengine - INFO - Epoch(train) [5][780/940] lr: 6.0000e-02 eta: 13:26:28 time: 0.5912 data_time: 0.0353 memory: 13609 grad_norm: 2.4558 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 2.3780 loss: 2.3780 2022/08/01 07:22:23 - mmengine - INFO - Epoch(train) [5][800/940] lr: 6.0000e-02 eta: 13:25:49 time: 0.4688 data_time: 0.0364 memory: 13609 grad_norm: 2.4715 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2797 loss: 2.2797 2022/08/01 07:22:34 - mmengine - INFO - Epoch(train) [5][820/940] lr: 6.0000e-02 eta: 13:25:39 time: 0.5432 data_time: 0.0354 memory: 13609 grad_norm: 2.4662 top1_acc: 0.5000 top5_acc: 0.5938 loss_cls: 2.3310 loss: 2.3310 2022/08/01 07:22:44 - mmengine - INFO - Epoch(train) [5][840/940] lr: 6.0000e-02 eta: 13:25:14 time: 0.5039 data_time: 0.0316 memory: 13609 grad_norm: 2.4379 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.4495 loss: 2.4495 2022/08/01 07:22:56 - mmengine - INFO - Epoch(train) [5][860/940] lr: 6.0000e-02 eta: 13:25:14 time: 0.5684 data_time: 0.0842 memory: 13609 grad_norm: 2.4673 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4731 loss: 2.4731 2022/08/01 07:23:05 - mmengine - INFO - Epoch(train) [5][880/940] lr: 6.0000e-02 eta: 13:24:39 time: 0.4779 data_time: 0.0775 memory: 13609 grad_norm: 2.4621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3527 loss: 2.3527 2022/08/01 07:23:16 - mmengine - INFO - Epoch(train) [5][900/940] lr: 6.0000e-02 eta: 13:24:31 time: 0.5490 data_time: 0.0354 memory: 13609 grad_norm: 2.4727 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.4476 loss: 2.4476 2022/08/01 07:23:27 - mmengine - INFO - Epoch(train) [5][920/940] lr: 6.0000e-02 eta: 13:24:12 time: 0.5174 data_time: 0.0314 memory: 13609 grad_norm: 2.4512 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.2123 loss: 2.2123 2022/08/01 07:23:38 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:23:38 - mmengine - INFO - Epoch(train) [5][940/940] lr: 6.0000e-02 eta: 13:24:04 time: 0.5491 data_time: 0.0357 memory: 13609 grad_norm: 2.6034 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.3682 loss: 2.3682 2022/08/01 07:25:23 - mmengine - INFO - Epoch(val) [5][20/78] eta: 0:05:05 time: 5.2742 data_time: 4.5078 memory: 19674 2022/08/01 07:26:36 - mmengine - INFO - Epoch(val) [5][40/78] eta: 0:02:17 time: 3.6267 data_time: 2.8548 memory: 19674 2022/08/01 07:28:12 - mmengine - INFO - Epoch(val) [5][60/78] eta: 0:01:26 time: 4.8042 data_time: 4.0446 memory: 19674 2022/08/01 07:29:25 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.5597 acc/top5: 0.7999 acc/mean1: 0.5595 2022/08/01 07:29:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_5.pth is removed 2022/08/01 07:29:26 - mmengine - INFO - The best checkpoint with 0.5597 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/01 07:29:40 - mmengine - INFO - Epoch(train) [6][20/940] lr: 6.0000e-02 eta: 13:24:53 time: 0.6985 data_time: 0.4131 memory: 19674 grad_norm: 2.4130 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.3431 loss: 2.3431 2022/08/01 07:29:50 - mmengine - INFO - Epoch(train) [6][40/940] lr: 6.0000e-02 eta: 13:24:17 time: 0.4716 data_time: 0.1909 memory: 13609 grad_norm: 2.4595 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2599 loss: 2.2599 2022/08/01 07:30:02 - mmengine - INFO - Epoch(train) [6][60/940] lr: 6.0000e-02 eta: 13:24:28 time: 0.6010 data_time: 0.3075 memory: 13609 grad_norm: 2.4308 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3441 loss: 2.3441 2022/08/01 07:30:11 - mmengine - INFO - Epoch(train) [6][80/940] lr: 6.0000e-02 eta: 13:23:49 time: 0.4653 data_time: 0.1469 memory: 13609 grad_norm: 2.4631 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.2747 loss: 2.2747 2022/08/01 07:30:23 - mmengine - INFO - Epoch(train) [6][100/940] lr: 6.0000e-02 eta: 13:24:01 time: 0.6022 data_time: 0.2858 memory: 13609 grad_norm: 2.4749 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.4019 loss: 2.4019 2022/08/01 07:30:32 - mmengine - INFO - Epoch(train) [6][120/940] lr: 6.0000e-02 eta: 13:23:16 time: 0.4463 data_time: 0.1508 memory: 13609 grad_norm: 2.4628 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.4417 loss: 2.4417 2022/08/01 07:30:44 - mmengine - INFO - Epoch(train) [6][140/940] lr: 6.0000e-02 eta: 13:23:26 time: 0.5969 data_time: 0.2799 memory: 13609 grad_norm: 2.4558 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.4172 loss: 2.4172 2022/08/01 07:30:54 - mmengine - INFO - Epoch(train) [6][160/940] lr: 6.0000e-02 eta: 13:22:51 time: 0.4744 data_time: 0.1853 memory: 13609 grad_norm: 2.5118 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.4501 loss: 2.4501 2022/08/01 07:31:05 - mmengine - INFO - Epoch(train) [6][180/940] lr: 6.0000e-02 eta: 13:22:57 time: 0.5886 data_time: 0.2653 memory: 13609 grad_norm: 2.4761 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2599 loss: 2.2599 2022/08/01 07:31:14 - mmengine - INFO - Epoch(train) [6][200/940] lr: 6.0000e-02 eta: 13:22:17 time: 0.4580 data_time: 0.1613 memory: 13609 grad_norm: 2.4412 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.3694 loss: 2.3694 2022/08/01 07:31:26 - mmengine - INFO - Epoch(train) [6][220/940] lr: 6.0000e-02 eta: 13:22:25 time: 0.5944 data_time: 0.2927 memory: 13609 grad_norm: 2.4245 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3991 loss: 2.3991 2022/08/01 07:31:36 - mmengine - INFO - Epoch(train) [6][240/940] lr: 6.0000e-02 eta: 13:21:59 time: 0.4986 data_time: 0.1917 memory: 13609 grad_norm: 2.4300 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.3917 loss: 2.3917 2022/08/01 07:31:47 - mmengine - INFO - Epoch(train) [6][260/940] lr: 6.0000e-02 eta: 13:21:40 time: 0.5158 data_time: 0.1984 memory: 13609 grad_norm: 2.4200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3608 loss: 2.3608 2022/08/01 07:31:56 - mmengine - INFO - Epoch(train) [6][280/940] lr: 6.0000e-02 eta: 13:20:58 time: 0.4534 data_time: 0.1615 memory: 13609 grad_norm: 2.4890 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2994 loss: 2.2994 2022/08/01 07:32:07 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:32:07 - mmengine - INFO - Epoch(train) [6][300/940] lr: 6.0000e-02 eta: 13:20:53 time: 0.5562 data_time: 0.2379 memory: 13609 grad_norm: 2.4450 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2900 loss: 2.2900 2022/08/01 07:32:18 - mmengine - INFO - Epoch(train) [6][320/940] lr: 6.0000e-02 eta: 13:20:41 time: 0.5379 data_time: 0.2269 memory: 13609 grad_norm: 2.4287 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 2.2775 loss: 2.2775 2022/08/01 07:32:28 - mmengine - INFO - Epoch(train) [6][340/940] lr: 6.0000e-02 eta: 13:20:28 time: 0.5332 data_time: 0.1978 memory: 13609 grad_norm: 2.4657 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2099 loss: 2.2099 2022/08/01 07:32:38 - mmengine - INFO - Epoch(train) [6][360/940] lr: 6.0000e-02 eta: 13:20:07 time: 0.5102 data_time: 0.1277 memory: 13609 grad_norm: 2.4167 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.3100 loss: 2.3100 2022/08/01 07:32:49 - mmengine - INFO - Epoch(train) [6][380/940] lr: 6.0000e-02 eta: 13:19:47 time: 0.5119 data_time: 0.1258 memory: 13609 grad_norm: 2.4688 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.4590 loss: 2.4590 2022/08/01 07:33:00 - mmengine - INFO - Epoch(train) [6][400/940] lr: 6.0000e-02 eta: 13:19:37 time: 0.5443 data_time: 0.1411 memory: 13609 grad_norm: 2.4503 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3128 loss: 2.3128 2022/08/01 07:33:11 - mmengine - INFO - Epoch(train) [6][420/940] lr: 6.0000e-02 eta: 13:19:45 time: 0.5936 data_time: 0.2776 memory: 13609 grad_norm: 2.4631 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3892 loss: 2.3892 2022/08/01 07:33:21 - mmengine - INFO - Epoch(train) [6][440/940] lr: 6.0000e-02 eta: 13:19:12 time: 0.4739 data_time: 0.1741 memory: 13609 grad_norm: 2.4825 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0609 loss: 2.0609 2022/08/01 07:33:31 - mmengine - INFO - Epoch(train) [6][460/940] lr: 6.0000e-02 eta: 13:18:49 time: 0.5064 data_time: 0.2058 memory: 13609 grad_norm: 2.4304 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.3805 loss: 2.3805 2022/08/01 07:33:41 - mmengine - INFO - Epoch(train) [6][480/940] lr: 6.0000e-02 eta: 13:18:30 time: 0.5159 data_time: 0.0906 memory: 13609 grad_norm: 2.4388 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1917 loss: 2.1917 2022/08/01 07:33:52 - mmengine - INFO - Epoch(train) [6][500/940] lr: 6.0000e-02 eta: 13:18:23 time: 0.5501 data_time: 0.1944 memory: 13609 grad_norm: 2.4473 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2865 loss: 2.2865 2022/08/01 07:34:03 - mmengine - INFO - Epoch(train) [6][520/940] lr: 6.0000e-02 eta: 13:18:05 time: 0.5177 data_time: 0.0703 memory: 13609 grad_norm: 2.3782 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.3883 loss: 2.3883 2022/08/01 07:34:13 - mmengine - INFO - Epoch(train) [6][540/940] lr: 6.0000e-02 eta: 13:17:47 time: 0.5186 data_time: 0.0389 memory: 13609 grad_norm: 2.4050 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.3369 loss: 2.3369 2022/08/01 07:34:25 - mmengine - INFO - Epoch(train) [6][560/940] lr: 6.0000e-02 eta: 13:17:57 time: 0.5992 data_time: 0.0317 memory: 13609 grad_norm: 2.4416 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.3280 loss: 2.3280 2022/08/01 07:34:34 - mmengine - INFO - Epoch(train) [6][580/940] lr: 6.0000e-02 eta: 13:17:22 time: 0.4694 data_time: 0.0378 memory: 13609 grad_norm: 2.4518 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.2676 loss: 2.2676 2022/08/01 07:34:46 - mmengine - INFO - Epoch(train) [6][600/940] lr: 6.0000e-02 eta: 13:17:17 time: 0.5568 data_time: 0.0365 memory: 13609 grad_norm: 2.3835 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.3628 loss: 2.3628 2022/08/01 07:34:56 - mmengine - INFO - Epoch(train) [6][620/940] lr: 6.0000e-02 eta: 13:16:52 time: 0.4949 data_time: 0.0384 memory: 13609 grad_norm: 2.4502 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.3579 loss: 2.3579 2022/08/01 07:35:06 - mmengine - INFO - Epoch(train) [6][640/940] lr: 6.0000e-02 eta: 13:16:39 time: 0.5321 data_time: 0.0306 memory: 13609 grad_norm: 2.4157 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.3108 loss: 2.3108 2022/08/01 07:35:16 - mmengine - INFO - Epoch(train) [6][660/940] lr: 6.0000e-02 eta: 13:16:06 time: 0.4717 data_time: 0.0366 memory: 13609 grad_norm: 2.4018 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3319 loss: 2.3319 2022/08/01 07:35:27 - mmengine - INFO - Epoch(train) [6][680/940] lr: 6.0000e-02 eta: 13:16:11 time: 0.5888 data_time: 0.0511 memory: 13609 grad_norm: 2.4935 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2531 loss: 2.2531 2022/08/01 07:35:37 - mmengine - INFO - Epoch(train) [6][700/940] lr: 6.0000e-02 eta: 13:15:47 time: 0.4977 data_time: 0.0369 memory: 13609 grad_norm: 2.4207 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.2851 loss: 2.2851 2022/08/01 07:35:48 - mmengine - INFO - Epoch(train) [6][720/940] lr: 6.0000e-02 eta: 13:15:34 time: 0.5311 data_time: 0.0339 memory: 13609 grad_norm: 2.4652 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3546 loss: 2.3546 2022/08/01 07:35:59 - mmengine - INFO - Epoch(train) [6][740/940] lr: 6.0000e-02 eta: 13:15:24 time: 0.5426 data_time: 0.0332 memory: 13609 grad_norm: 2.4574 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1811 loss: 2.1811 2022/08/01 07:36:08 - mmengine - INFO - Epoch(train) [6][760/940] lr: 6.0000e-02 eta: 13:14:52 time: 0.4731 data_time: 0.0383 memory: 13609 grad_norm: 2.4302 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.3740 loss: 2.3740 2022/08/01 07:36:20 - mmengine - INFO - Epoch(train) [6][780/940] lr: 6.0000e-02 eta: 13:15:00 time: 0.5976 data_time: 0.0323 memory: 13609 grad_norm: 2.4420 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1695 loss: 2.1695 2022/08/01 07:36:30 - mmengine - INFO - Epoch(train) [6][800/940] lr: 6.0000e-02 eta: 13:14:28 time: 0.4715 data_time: 0.0447 memory: 13609 grad_norm: 2.4484 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.2711 loss: 2.2711 2022/08/01 07:36:42 - mmengine - INFO - Epoch(train) [6][820/940] lr: 6.0000e-02 eta: 13:14:44 time: 0.6215 data_time: 0.0313 memory: 13609 grad_norm: 2.4402 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4985 loss: 2.4985 2022/08/01 07:36:52 - mmengine - INFO - Epoch(train) [6][840/940] lr: 6.0000e-02 eta: 13:14:14 time: 0.4799 data_time: 0.0378 memory: 13609 grad_norm: 2.4028 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3320 loss: 2.3320 2022/08/01 07:37:02 - mmengine - INFO - Epoch(train) [6][860/940] lr: 6.0000e-02 eta: 13:13:57 time: 0.5188 data_time: 0.0322 memory: 13609 grad_norm: 2.3899 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.2501 loss: 2.2501 2022/08/01 07:37:11 - mmengine - INFO - Epoch(train) [6][880/940] lr: 6.0000e-02 eta: 13:13:24 time: 0.4698 data_time: 0.0382 memory: 13609 grad_norm: 2.4178 top1_acc: 0.2812 top5_acc: 0.5938 loss_cls: 2.2843 loss: 2.2843 2022/08/01 07:37:22 - mmengine - INFO - Epoch(train) [6][900/940] lr: 6.0000e-02 eta: 13:13:16 time: 0.5453 data_time: 0.0345 memory: 13609 grad_norm: 2.4170 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3157 loss: 2.3157 2022/08/01 07:37:32 - mmengine - INFO - Epoch(train) [6][920/940] lr: 6.0000e-02 eta: 13:12:52 time: 0.4971 data_time: 0.0370 memory: 13609 grad_norm: 2.4155 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1872 loss: 2.1872 2022/08/01 07:37:41 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:37:41 - mmengine - INFO - Epoch(train) [6][940/940] lr: 6.0000e-02 eta: 13:12:09 time: 0.4357 data_time: 0.0283 memory: 13609 grad_norm: 2.5418 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.4033 loss: 2.4033 2022/08/01 07:37:41 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/01 07:39:29 - mmengine - INFO - Epoch(val) [6][20/78] eta: 0:05:07 time: 5.2961 data_time: 4.5532 memory: 19674 2022/08/01 07:40:42 - mmengine - INFO - Epoch(val) [6][40/78] eta: 0:02:17 time: 3.6244 data_time: 2.8689 memory: 19674 2022/08/01 07:42:17 - mmengine - INFO - Epoch(val) [6][60/78] eta: 0:01:26 time: 4.7883 data_time: 4.0364 memory: 19674 2022/08/01 07:43:28 - mmengine - INFO - Epoch(val) [6][78/78] acc/top1: 0.5678 acc/top5: 0.8086 acc/mean1: 0.5677 2022/08/01 07:43:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_6.pth is removed 2022/08/01 07:43:29 - mmengine - INFO - The best checkpoint with 0.5678 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/01 07:43:44 - mmengine - INFO - Epoch(train) [7][20/940] lr: 6.0000e-02 eta: 13:12:51 time: 0.7074 data_time: 0.4263 memory: 19674 grad_norm: 2.4011 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2930 loss: 2.2930 2022/08/01 07:43:53 - mmengine - INFO - Epoch(train) [7][40/940] lr: 6.0000e-02 eta: 13:12:20 time: 0.4718 data_time: 0.1896 memory: 13609 grad_norm: 2.4273 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.3034 loss: 2.3034 2022/08/01 07:44:04 - mmengine - INFO - Epoch(train) [7][60/940] lr: 6.0000e-02 eta: 13:12:13 time: 0.5507 data_time: 0.2609 memory: 13609 grad_norm: 2.4364 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1898 loss: 2.1898 2022/08/01 07:44:13 - mmengine - INFO - Epoch(train) [7][80/940] lr: 6.0000e-02 eta: 13:11:38 time: 0.4602 data_time: 0.1704 memory: 13609 grad_norm: 2.4102 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2601 loss: 2.2601 2022/08/01 07:44:26 - mmengine - INFO - Epoch(train) [7][100/940] lr: 6.0000e-02 eta: 13:11:49 time: 0.6092 data_time: 0.2333 memory: 13609 grad_norm: 2.4504 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 2.3012 loss: 2.3012 2022/08/01 07:44:35 - mmengine - INFO - Epoch(train) [7][120/940] lr: 6.0000e-02 eta: 13:11:22 time: 0.4860 data_time: 0.0387 memory: 13609 grad_norm: 2.4306 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.2743 loss: 2.2743 2022/08/01 07:44:47 - mmengine - INFO - Epoch(train) [7][140/940] lr: 6.0000e-02 eta: 13:11:30 time: 0.6001 data_time: 0.0582 memory: 13609 grad_norm: 2.4263 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2739 loss: 2.2739 2022/08/01 07:44:56 - mmengine - INFO - Epoch(train) [7][160/940] lr: 6.0000e-02 eta: 13:10:51 time: 0.4453 data_time: 0.0303 memory: 13609 grad_norm: 2.4140 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3737 loss: 2.3737 2022/08/01 07:45:07 - mmengine - INFO - Epoch(train) [7][180/940] lr: 6.0000e-02 eta: 13:10:42 time: 0.5446 data_time: 0.0605 memory: 13609 grad_norm: 2.4255 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1649 loss: 2.1649 2022/08/01 07:45:17 - mmengine - INFO - Epoch(train) [7][200/940] lr: 6.0000e-02 eta: 13:10:13 time: 0.4766 data_time: 0.0817 memory: 13609 grad_norm: 2.4331 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3116 loss: 2.3116 2022/08/01 07:45:28 - mmengine - INFO - Epoch(train) [7][220/940] lr: 6.0000e-02 eta: 13:10:13 time: 0.5723 data_time: 0.0360 memory: 13609 grad_norm: 2.4500 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.2157 loss: 2.2157 2022/08/01 07:45:39 - mmengine - INFO - Epoch(train) [7][240/940] lr: 6.0000e-02 eta: 13:10:08 time: 0.5567 data_time: 0.0371 memory: 13609 grad_norm: 2.4063 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.2484 loss: 2.2484 2022/08/01 07:45:50 - mmengine - INFO - Epoch(train) [7][260/940] lr: 6.0000e-02 eta: 13:09:56 time: 0.5343 data_time: 0.0349 memory: 13609 grad_norm: 2.4358 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2663 loss: 2.2663 2022/08/01 07:46:00 - mmengine - INFO - Epoch(train) [7][280/940] lr: 6.0000e-02 eta: 13:09:34 time: 0.5015 data_time: 0.0384 memory: 13609 grad_norm: 2.4175 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2763 loss: 2.2763 2022/08/01 07:46:11 - mmengine - INFO - Epoch(train) [7][300/940] lr: 6.0000e-02 eta: 13:09:27 time: 0.5487 data_time: 0.0350 memory: 13609 grad_norm: 2.4729 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.2772 loss: 2.2772 2022/08/01 07:46:23 - mmengine - INFO - Epoch(train) [7][320/940] lr: 6.0000e-02 eta: 13:09:41 time: 0.6240 data_time: 0.0365 memory: 13609 grad_norm: 2.4222 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.3342 loss: 2.3342 2022/08/01 07:46:33 - mmengine - INFO - Epoch(train) [7][340/940] lr: 6.0000e-02 eta: 13:09:14 time: 0.4835 data_time: 0.0404 memory: 13609 grad_norm: 2.4137 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.4126 loss: 2.4126 2022/08/01 07:46:45 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:46:45 - mmengine - INFO - Epoch(train) [7][360/940] lr: 6.0000e-02 eta: 13:09:19 time: 0.5895 data_time: 0.0335 memory: 13609 grad_norm: 2.4033 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1549 loss: 2.1549 2022/08/01 07:46:54 - mmengine - INFO - Epoch(train) [7][380/940] lr: 6.0000e-02 eta: 13:08:44 time: 0.4576 data_time: 0.0386 memory: 13609 grad_norm: 2.4513 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.2537 loss: 2.2537 2022/08/01 07:47:05 - mmengine - INFO - Epoch(train) [7][400/940] lr: 6.0000e-02 eta: 13:08:38 time: 0.5532 data_time: 0.0380 memory: 13609 grad_norm: 2.4317 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2662 loss: 2.2662 2022/08/01 07:47:14 - mmengine - INFO - Epoch(train) [7][420/940] lr: 6.0000e-02 eta: 13:08:08 time: 0.4717 data_time: 0.0361 memory: 13609 grad_norm: 2.4550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2287 loss: 2.2287 2022/08/01 07:47:26 - mmengine - INFO - Epoch(train) [7][440/940] lr: 6.0000e-02 eta: 13:08:07 time: 0.5712 data_time: 0.0455 memory: 13609 grad_norm: 2.4258 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3405 loss: 2.3405 2022/08/01 07:47:36 - mmengine - INFO - Epoch(train) [7][460/940] lr: 6.0000e-02 eta: 13:07:47 time: 0.5056 data_time: 0.0309 memory: 13609 grad_norm: 2.4093 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.3118 loss: 2.3118 2022/08/01 07:47:47 - mmengine - INFO - Epoch(train) [7][480/940] lr: 6.0000e-02 eta: 13:07:47 time: 0.5766 data_time: 0.0413 memory: 13609 grad_norm: 2.3845 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3513 loss: 2.3513 2022/08/01 07:47:57 - mmengine - INFO - Epoch(train) [7][500/940] lr: 6.0000e-02 eta: 13:07:18 time: 0.4732 data_time: 0.0419 memory: 13609 grad_norm: 2.4381 top1_acc: 0.4375 top5_acc: 0.5312 loss_cls: 2.3878 loss: 2.3878 2022/08/01 07:48:08 - mmengine - INFO - Epoch(train) [7][520/940] lr: 6.0000e-02 eta: 13:07:18 time: 0.5759 data_time: 0.0463 memory: 13609 grad_norm: 2.4709 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1525 loss: 2.1525 2022/08/01 07:48:17 - mmengine - INFO - Epoch(train) [7][540/940] lr: 6.0000e-02 eta: 13:06:40 time: 0.4411 data_time: 0.0366 memory: 13609 grad_norm: 2.4634 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1941 loss: 2.1941 2022/08/01 07:48:30 - mmengine - INFO - Epoch(train) [7][560/940] lr: 6.0000e-02 eta: 13:06:54 time: 0.6230 data_time: 0.0388 memory: 13609 grad_norm: 2.4423 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3304 loss: 2.3304 2022/08/01 07:48:40 - mmengine - INFO - Epoch(train) [7][580/940] lr: 6.0000e-02 eta: 13:06:31 time: 0.4974 data_time: 0.0329 memory: 13609 grad_norm: 2.3621 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2421 loss: 2.2421 2022/08/01 07:48:50 - mmengine - INFO - Epoch(train) [7][600/940] lr: 6.0000e-02 eta: 13:06:21 time: 0.5384 data_time: 0.0357 memory: 13609 grad_norm: 2.4779 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 2.3270 loss: 2.3270 2022/08/01 07:49:00 - mmengine - INFO - Epoch(train) [7][620/940] lr: 6.0000e-02 eta: 13:05:56 time: 0.4882 data_time: 0.0345 memory: 13609 grad_norm: 2.4332 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2194 loss: 2.2194 2022/08/01 07:49:11 - mmengine - INFO - Epoch(train) [7][640/940] lr: 6.0000e-02 eta: 13:05:52 time: 0.5604 data_time: 0.0413 memory: 13609 grad_norm: 2.3973 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.2643 loss: 2.2643 2022/08/01 07:49:21 - mmengine - INFO - Epoch(train) [7][660/940] lr: 6.0000e-02 eta: 13:05:30 time: 0.4989 data_time: 0.0361 memory: 13609 grad_norm: 2.4400 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 2.2450 loss: 2.2450 2022/08/01 07:49:32 - mmengine - INFO - Epoch(train) [7][680/940] lr: 6.0000e-02 eta: 13:05:21 time: 0.5437 data_time: 0.0388 memory: 13609 grad_norm: 2.4026 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.4233 loss: 2.4233 2022/08/01 07:49:42 - mmengine - INFO - Epoch(train) [7][700/940] lr: 6.0000e-02 eta: 13:04:59 time: 0.4939 data_time: 0.0469 memory: 13609 grad_norm: 2.3753 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.3138 loss: 2.3138 2022/08/01 07:49:53 - mmengine - INFO - Epoch(train) [7][720/940] lr: 6.0000e-02 eta: 13:04:50 time: 0.5444 data_time: 0.0290 memory: 13609 grad_norm: 2.3538 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.1399 loss: 2.1399 2022/08/01 07:50:04 - mmengine - INFO - Epoch(train) [7][740/940] lr: 6.0000e-02 eta: 13:04:38 time: 0.5331 data_time: 0.0369 memory: 13609 grad_norm: 2.4274 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.3693 loss: 2.3693 2022/08/01 07:50:15 - mmengine - INFO - Epoch(train) [7][760/940] lr: 6.0000e-02 eta: 13:04:37 time: 0.5736 data_time: 0.0266 memory: 13609 grad_norm: 2.3649 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2086 loss: 2.2086 2022/08/01 07:50:26 - mmengine - INFO - Epoch(train) [7][780/940] lr: 6.0000e-02 eta: 13:04:27 time: 0.5414 data_time: 0.0355 memory: 13609 grad_norm: 2.4423 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2327 loss: 2.2327 2022/08/01 07:50:38 - mmengine - INFO - Epoch(train) [7][800/940] lr: 6.0000e-02 eta: 13:04:27 time: 0.5754 data_time: 0.0371 memory: 13609 grad_norm: 2.4334 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3620 loss: 2.3620 2022/08/01 07:50:46 - mmengine - INFO - Epoch(train) [7][820/940] lr: 6.0000e-02 eta: 13:03:41 time: 0.4061 data_time: 0.0350 memory: 13609 grad_norm: 2.4133 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2004 loss: 2.2004 2022/08/01 07:50:58 - mmengine - INFO - Epoch(train) [7][840/940] lr: 6.0000e-02 eta: 13:03:49 time: 0.6069 data_time: 0.0518 memory: 13609 grad_norm: 2.4593 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.1825 loss: 2.1825 2022/08/01 07:51:07 - mmengine - INFO - Epoch(train) [7][860/940] lr: 6.0000e-02 eta: 13:03:12 time: 0.4415 data_time: 0.0370 memory: 13609 grad_norm: 2.4238 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2077 loss: 2.2077 2022/08/01 07:51:17 - mmengine - INFO - Epoch(train) [7][880/940] lr: 6.0000e-02 eta: 13:02:58 time: 0.5231 data_time: 0.0342 memory: 13609 grad_norm: 2.4366 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2232 loss: 2.2232 2022/08/01 07:51:28 - mmengine - INFO - Epoch(train) [7][900/940] lr: 6.0000e-02 eta: 13:02:46 time: 0.5323 data_time: 0.0367 memory: 13609 grad_norm: 2.4063 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.3335 loss: 2.3335 2022/08/01 07:51:39 - mmengine - INFO - Epoch(train) [7][920/940] lr: 6.0000e-02 eta: 13:02:37 time: 0.5462 data_time: 0.0356 memory: 13609 grad_norm: 2.3988 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.3866 loss: 2.3866 2022/08/01 07:51:47 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 07:51:47 - mmengine - INFO - Epoch(train) [7][940/940] lr: 6.0000e-02 eta: 13:01:53 time: 0.4103 data_time: 0.0294 memory: 13609 grad_norm: 2.5544 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.3307 loss: 2.3307 2022/08/01 07:53:33 - mmengine - INFO - Epoch(val) [7][20/78] eta: 0:05:06 time: 5.2824 data_time: 4.5160 memory: 19674 2022/08/01 07:54:45 - mmengine - INFO - Epoch(val) [7][40/78] eta: 0:02:17 time: 3.6098 data_time: 2.8513 memory: 19674 2022/08/01 07:56:22 - mmengine - INFO - Epoch(val) [7][60/78] eta: 0:01:27 time: 4.8477 data_time: 4.0956 memory: 19674 2022/08/01 07:57:34 - mmengine - INFO - Epoch(val) [7][78/78] acc/top1: 0.5612 acc/top5: 0.8032 acc/mean1: 0.5610 2022/08/01 07:57:48 - mmengine - INFO - Epoch(train) [8][20/940] lr: 6.0000e-02 eta: 13:02:23 time: 0.6886 data_time: 0.2902 memory: 19674 grad_norm: 2.4727 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2094 loss: 2.2094 2022/08/01 07:57:59 - mmengine - INFO - Epoch(train) [8][40/940] lr: 6.0000e-02 eta: 13:02:11 time: 0.5333 data_time: 0.0526 memory: 13609 grad_norm: 2.3886 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2946 loss: 2.2946 2022/08/01 07:58:10 - mmengine - INFO - Epoch(train) [8][60/940] lr: 6.0000e-02 eta: 13:02:03 time: 0.5483 data_time: 0.0394 memory: 13609 grad_norm: 2.4309 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.2426 loss: 2.2426 2022/08/01 07:58:19 - mmengine - INFO - Epoch(train) [8][80/940] lr: 6.0000e-02 eta: 13:01:39 time: 0.4863 data_time: 0.0326 memory: 13609 grad_norm: 2.4307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1898 loss: 2.1898 2022/08/01 07:58:31 - mmengine - INFO - Epoch(train) [8][100/940] lr: 6.0000e-02 eta: 13:01:42 time: 0.5915 data_time: 0.0382 memory: 13609 grad_norm: 2.3759 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.2130 loss: 2.2130 2022/08/01 07:58:41 - mmengine - INFO - Epoch(train) [8][120/940] lr: 6.0000e-02 eta: 13:01:24 time: 0.5086 data_time: 0.0490 memory: 13609 grad_norm: 2.4208 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.2837 loss: 2.2837 2022/08/01 07:58:52 - mmengine - INFO - Epoch(train) [8][140/940] lr: 6.0000e-02 eta: 13:01:14 time: 0.5384 data_time: 0.0335 memory: 13609 grad_norm: 2.4459 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.2929 loss: 2.2929 2022/08/01 07:59:02 - mmengine - INFO - Epoch(train) [8][160/940] lr: 6.0000e-02 eta: 13:00:51 time: 0.4905 data_time: 0.0312 memory: 13609 grad_norm: 2.4164 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2408 loss: 2.2408 2022/08/01 07:59:13 - mmengine - INFO - Epoch(train) [8][180/940] lr: 6.0000e-02 eta: 13:00:40 time: 0.5370 data_time: 0.0380 memory: 13609 grad_norm: 2.3889 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.3571 loss: 2.3571 2022/08/01 07:59:22 - mmengine - INFO - Epoch(train) [8][200/940] lr: 6.0000e-02 eta: 13:00:12 time: 0.4678 data_time: 0.0421 memory: 13609 grad_norm: 2.4097 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1499 loss: 2.1499 2022/08/01 07:59:34 - mmengine - INFO - Epoch(train) [8][220/940] lr: 6.0000e-02 eta: 13:00:14 time: 0.5877 data_time: 0.0360 memory: 13609 grad_norm: 2.4993 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2865 loss: 2.2865 2022/08/01 07:59:43 - mmengine - INFO - Epoch(train) [8][240/940] lr: 6.0000e-02 eta: 12:59:44 time: 0.4592 data_time: 0.0329 memory: 13609 grad_norm: 2.4436 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2679 loss: 2.2679 2022/08/01 07:59:54 - mmengine - INFO - Epoch(train) [8][260/940] lr: 6.0000e-02 eta: 12:59:40 time: 0.5641 data_time: 0.0315 memory: 13609 grad_norm: 2.4188 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.1308 loss: 2.1308 2022/08/01 08:00:04 - mmengine - INFO - Epoch(train) [8][280/940] lr: 6.0000e-02 eta: 12:59:19 time: 0.4980 data_time: 0.0385 memory: 13609 grad_norm: 2.4530 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2998 loss: 2.2998 2022/08/01 08:00:15 - mmengine - INFO - Epoch(train) [8][300/940] lr: 6.0000e-02 eta: 12:59:14 time: 0.5563 data_time: 0.0369 memory: 13609 grad_norm: 2.4439 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2645 loss: 2.2645 2022/08/01 08:00:26 - mmengine - INFO - Epoch(train) [8][320/940] lr: 6.0000e-02 eta: 12:59:00 time: 0.5243 data_time: 0.0342 memory: 13609 grad_norm: 2.4488 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.3567 loss: 2.3567 2022/08/01 08:00:37 - mmengine - INFO - Epoch(train) [8][340/940] lr: 6.0000e-02 eta: 12:58:52 time: 0.5475 data_time: 0.0352 memory: 13609 grad_norm: 2.4433 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.2330 loss: 2.2330 2022/08/01 08:00:46 - mmengine - INFO - Epoch(train) [8][360/940] lr: 6.0000e-02 eta: 12:58:21 time: 0.4561 data_time: 0.0382 memory: 13609 grad_norm: 2.4156 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.3591 loss: 2.3591 2022/08/01 08:00:58 - mmengine - INFO - Epoch(train) [8][380/940] lr: 6.0000e-02 eta: 12:58:31 time: 0.6206 data_time: 0.0385 memory: 13609 grad_norm: 2.4186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1215 loss: 2.1215 2022/08/01 08:01:07 - mmengine - INFO - Epoch(train) [8][400/940] lr: 6.0000e-02 eta: 12:57:59 time: 0.4512 data_time: 0.0403 memory: 13609 grad_norm: 2.3799 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.3139 loss: 2.3139 2022/08/01 08:01:19 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:01:19 - mmengine - INFO - Epoch(train) [8][420/940] lr: 6.0000e-02 eta: 12:58:01 time: 0.5861 data_time: 0.0356 memory: 13609 grad_norm: 2.4500 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.2918 loss: 2.2918 2022/08/01 08:01:28 - mmengine - INFO - Epoch(train) [8][440/940] lr: 6.0000e-02 eta: 12:57:27 time: 0.4443 data_time: 0.0374 memory: 13609 grad_norm: 2.3896 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2275 loss: 2.2275 2022/08/01 08:01:39 - mmengine - INFO - Epoch(train) [8][460/940] lr: 6.0000e-02 eta: 12:57:23 time: 0.5639 data_time: 0.0376 memory: 13609 grad_norm: 2.4296 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3582 loss: 2.3582 2022/08/01 08:01:49 - mmengine - INFO - Epoch(train) [8][480/940] lr: 6.0000e-02 eta: 12:57:04 time: 0.5003 data_time: 0.0469 memory: 13609 grad_norm: 2.3847 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2825 loss: 2.2825 2022/08/01 08:02:01 - mmengine - INFO - Epoch(train) [8][500/940] lr: 6.0000e-02 eta: 12:57:01 time: 0.5708 data_time: 0.0346 memory: 13609 grad_norm: 2.4147 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3339 loss: 2.3339 2022/08/01 08:02:10 - mmengine - INFO - Epoch(train) [8][520/940] lr: 6.0000e-02 eta: 12:56:30 time: 0.4532 data_time: 0.0293 memory: 13609 grad_norm: 2.4082 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2034 loss: 2.2034 2022/08/01 08:02:22 - mmengine - INFO - Epoch(train) [8][540/940] lr: 6.0000e-02 eta: 12:56:34 time: 0.5938 data_time: 0.0385 memory: 13609 grad_norm: 2.4378 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2782 loss: 2.2782 2022/08/01 08:02:32 - mmengine - INFO - Epoch(train) [8][560/940] lr: 6.0000e-02 eta: 12:56:15 time: 0.5023 data_time: 0.0277 memory: 13609 grad_norm: 2.4260 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2588 loss: 2.2588 2022/08/01 08:02:42 - mmengine - INFO - Epoch(train) [8][580/940] lr: 6.0000e-02 eta: 12:56:03 time: 0.5325 data_time: 0.0405 memory: 13609 grad_norm: 2.3826 top1_acc: 0.2812 top5_acc: 0.5312 loss_cls: 2.3500 loss: 2.3500 2022/08/01 08:02:52 - mmengine - INFO - Epoch(train) [8][600/940] lr: 6.0000e-02 eta: 12:55:35 time: 0.4663 data_time: 0.0328 memory: 13609 grad_norm: 2.4238 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.3569 loss: 2.3569 2022/08/01 08:03:03 - mmengine - INFO - Epoch(train) [8][620/940] lr: 6.0000e-02 eta: 12:55:35 time: 0.5774 data_time: 0.0660 memory: 13609 grad_norm: 2.4620 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2473 loss: 2.2473 2022/08/01 08:03:13 - mmengine - INFO - Epoch(train) [8][640/940] lr: 6.0000e-02 eta: 12:55:13 time: 0.4927 data_time: 0.0284 memory: 13609 grad_norm: 2.4191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2179 loss: 2.2179 2022/08/01 08:03:25 - mmengine - INFO - Epoch(train) [8][660/940] lr: 6.0000e-02 eta: 12:55:17 time: 0.5965 data_time: 0.0375 memory: 13609 grad_norm: 2.4498 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1822 loss: 2.1822 2022/08/01 08:03:35 - mmengine - INFO - Epoch(train) [8][680/940] lr: 6.0000e-02 eta: 12:54:54 time: 0.4834 data_time: 0.0350 memory: 13609 grad_norm: 2.4137 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.1524 loss: 2.1524 2022/08/01 08:03:49 - mmengine - INFO - Epoch(train) [8][700/940] lr: 6.0000e-02 eta: 12:55:23 time: 0.7039 data_time: 0.0302 memory: 13609 grad_norm: 2.4387 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3453 loss: 2.3453 2022/08/01 08:03:58 - mmengine - INFO - Epoch(train) [8][720/940] lr: 6.0000e-02 eta: 12:54:54 time: 0.4573 data_time: 0.0388 memory: 13609 grad_norm: 2.3740 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.2851 loss: 2.2851 2022/08/01 08:04:09 - mmengine - INFO - Epoch(train) [8][740/940] lr: 6.0000e-02 eta: 12:54:49 time: 0.5638 data_time: 0.0326 memory: 13609 grad_norm: 2.3849 top1_acc: 0.3438 top5_acc: 0.5312 loss_cls: 2.3626 loss: 2.3626 2022/08/01 08:04:19 - mmengine - INFO - Epoch(train) [8][760/940] lr: 6.0000e-02 eta: 12:54:28 time: 0.4898 data_time: 0.0403 memory: 13609 grad_norm: 2.4597 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.3272 loss: 2.3272 2022/08/01 08:04:30 - mmengine - INFO - Epoch(train) [8][780/940] lr: 6.0000e-02 eta: 12:54:19 time: 0.5451 data_time: 0.0356 memory: 13609 grad_norm: 2.3687 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3000 loss: 2.3000 2022/08/01 08:04:39 - mmengine - INFO - Epoch(train) [8][800/940] lr: 6.0000e-02 eta: 12:53:52 time: 0.4668 data_time: 0.0372 memory: 13609 grad_norm: 2.3788 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.2742 loss: 2.2742 2022/08/01 08:04:50 - mmengine - INFO - Epoch(train) [8][820/940] lr: 6.0000e-02 eta: 12:53:41 time: 0.5369 data_time: 0.0383 memory: 13609 grad_norm: 2.4674 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3531 loss: 2.3531 2022/08/01 08:05:00 - mmengine - INFO - Epoch(train) [8][840/940] lr: 6.0000e-02 eta: 12:53:29 time: 0.5283 data_time: 0.0408 memory: 13609 grad_norm: 2.3977 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.3338 loss: 2.3338 2022/08/01 08:05:11 - mmengine - INFO - Epoch(train) [8][860/940] lr: 6.0000e-02 eta: 12:53:22 time: 0.5525 data_time: 0.0320 memory: 13609 grad_norm: 2.3884 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1064 loss: 2.1064 2022/08/01 08:05:21 - mmengine - INFO - Epoch(train) [8][880/940] lr: 6.0000e-02 eta: 12:53:03 time: 0.5006 data_time: 0.0405 memory: 13609 grad_norm: 2.3796 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3261 loss: 2.3261 2022/08/01 08:05:32 - mmengine - INFO - Epoch(train) [8][900/940] lr: 6.0000e-02 eta: 12:52:51 time: 0.5292 data_time: 0.0330 memory: 13609 grad_norm: 2.3699 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0816 loss: 2.0816 2022/08/01 08:05:43 - mmengine - INFO - Epoch(train) [8][920/940] lr: 6.0000e-02 eta: 12:52:39 time: 0.5325 data_time: 0.0412 memory: 13609 grad_norm: 2.4281 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3126 loss: 2.3126 2022/08/01 08:05:51 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:05:51 - mmengine - INFO - Epoch(train) [8][940/940] lr: 6.0000e-02 eta: 12:52:00 time: 0.4137 data_time: 0.0246 memory: 13609 grad_norm: 2.4905 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.2266 loss: 2.2266 2022/08/01 08:07:37 - mmengine - INFO - Epoch(val) [8][20/78] eta: 0:05:06 time: 5.2790 data_time: 4.5089 memory: 19674 2022/08/01 08:08:47 - mmengine - INFO - Epoch(val) [8][40/78] eta: 0:02:14 time: 3.5351 data_time: 2.7829 memory: 19674 2022/08/01 08:10:21 - mmengine - INFO - Epoch(val) [8][60/78] eta: 0:01:24 time: 4.6783 data_time: 3.9232 memory: 19674 2022/08/01 08:12:27 - mmengine - INFO - Epoch(val) [8][78/78] acc/top1: 0.5194 acc/top5: 0.7615 acc/mean1: 0.5193 2022/08/01 08:12:41 - mmengine - INFO - Epoch(train) [9][20/940] lr: 6.0000e-02 eta: 12:52:29 time: 0.7072 data_time: 0.2994 memory: 19674 grad_norm: 2.3836 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.2895 loss: 2.2895 2022/08/01 08:12:50 - mmengine - INFO - Epoch(train) [9][40/940] lr: 6.0000e-02 eta: 12:52:04 time: 0.4749 data_time: 0.0609 memory: 13609 grad_norm: 2.4364 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3135 loss: 2.3135 2022/08/01 08:13:02 - mmengine - INFO - Epoch(train) [9][60/940] lr: 6.0000e-02 eta: 12:52:10 time: 0.6071 data_time: 0.0339 memory: 13609 grad_norm: 2.4040 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.1899 loss: 2.1899 2022/08/01 08:13:12 - mmengine - INFO - Epoch(train) [9][80/940] lr: 6.0000e-02 eta: 12:51:41 time: 0.4561 data_time: 0.0337 memory: 13609 grad_norm: 2.3753 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2470 loss: 2.2470 2022/08/01 08:13:23 - mmengine - INFO - Epoch(train) [9][100/940] lr: 6.0000e-02 eta: 12:51:35 time: 0.5548 data_time: 0.0351 memory: 13609 grad_norm: 2.4055 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1943 loss: 2.1943 2022/08/01 08:13:34 - mmengine - INFO - Epoch(train) [9][120/940] lr: 6.0000e-02 eta: 12:51:25 time: 0.5431 data_time: 0.0831 memory: 13609 grad_norm: 2.3940 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.0892 loss: 2.0892 2022/08/01 08:13:45 - mmengine - INFO - Epoch(train) [9][140/940] lr: 6.0000e-02 eta: 12:51:20 time: 0.5572 data_time: 0.0350 memory: 13609 grad_norm: 2.3589 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.3066 loss: 2.3066 2022/08/01 08:13:54 - mmengine - INFO - Epoch(train) [9][160/940] lr: 6.0000e-02 eta: 12:50:53 time: 0.4659 data_time: 0.0318 memory: 13609 grad_norm: 2.4340 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 2.1418 loss: 2.1418 2022/08/01 08:14:06 - mmengine - INFO - Epoch(train) [9][180/940] lr: 6.0000e-02 eta: 12:50:53 time: 0.5815 data_time: 0.0376 memory: 13609 grad_norm: 2.3897 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3808 loss: 2.3808 2022/08/01 08:14:15 - mmengine - INFO - Epoch(train) [9][200/940] lr: 6.0000e-02 eta: 12:50:27 time: 0.4717 data_time: 0.0377 memory: 13609 grad_norm: 2.4012 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0837 loss: 2.0837 2022/08/01 08:14:26 - mmengine - INFO - Epoch(train) [9][220/940] lr: 6.0000e-02 eta: 12:50:21 time: 0.5539 data_time: 0.0420 memory: 13609 grad_norm: 2.4042 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2323 loss: 2.2323 2022/08/01 08:14:36 - mmengine - INFO - Epoch(train) [9][240/940] lr: 6.0000e-02 eta: 12:50:05 time: 0.5147 data_time: 0.0462 memory: 13609 grad_norm: 2.4339 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.2976 loss: 2.2976 2022/08/01 08:14:47 - mmengine - INFO - Epoch(train) [9][260/940] lr: 6.0000e-02 eta: 12:49:48 time: 0.5064 data_time: 0.0328 memory: 13609 grad_norm: 2.4239 top1_acc: 0.2812 top5_acc: 0.5625 loss_cls: 2.2012 loss: 2.2012 2022/08/01 08:14:56 - mmengine - INFO - Epoch(train) [9][280/940] lr: 6.0000e-02 eta: 12:49:25 time: 0.4781 data_time: 0.0388 memory: 13609 grad_norm: 2.4257 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2965 loss: 2.2965 2022/08/01 08:15:08 - mmengine - INFO - Epoch(train) [9][300/940] lr: 6.0000e-02 eta: 12:49:23 time: 0.5763 data_time: 0.0332 memory: 13609 grad_norm: 2.4086 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1759 loss: 2.1759 2022/08/01 08:15:18 - mmengine - INFO - Epoch(train) [9][320/940] lr: 6.0000e-02 eta: 12:49:05 time: 0.5025 data_time: 0.0359 memory: 13609 grad_norm: 2.3637 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.3294 loss: 2.3294 2022/08/01 08:15:29 - mmengine - INFO - Epoch(train) [9][340/940] lr: 6.0000e-02 eta: 12:49:04 time: 0.5784 data_time: 0.0354 memory: 13609 grad_norm: 2.4077 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 2.2793 loss: 2.2793 2022/08/01 08:15:39 - mmengine - INFO - Epoch(train) [9][360/940] lr: 6.0000e-02 eta: 12:48:47 time: 0.5104 data_time: 0.0379 memory: 13609 grad_norm: 2.3601 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.2491 loss: 2.2491 2022/08/01 08:15:49 - mmengine - INFO - Epoch(train) [9][380/940] lr: 6.0000e-02 eta: 12:48:25 time: 0.4814 data_time: 0.0312 memory: 13609 grad_norm: 2.4083 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.4960 loss: 2.4960 2022/08/01 08:15:59 - mmengine - INFO - Epoch(train) [9][400/940] lr: 6.0000e-02 eta: 12:48:03 time: 0.4864 data_time: 0.0421 memory: 13609 grad_norm: 2.3904 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.2510 loss: 2.2510 2022/08/01 08:16:10 - mmengine - INFO - Epoch(train) [9][420/940] lr: 6.0000e-02 eta: 12:48:02 time: 0.5760 data_time: 0.0333 memory: 13609 grad_norm: 2.4139 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1413 loss: 2.1413 2022/08/01 08:16:20 - mmengine - INFO - Epoch(train) [9][440/940] lr: 6.0000e-02 eta: 12:47:39 time: 0.4807 data_time: 0.0359 memory: 13609 grad_norm: 2.4318 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3167 loss: 2.3167 2022/08/01 08:16:31 - mmengine - INFO - Epoch(train) [9][460/940] lr: 6.0000e-02 eta: 12:47:33 time: 0.5565 data_time: 0.0385 memory: 13609 grad_norm: 2.3763 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.5632 loss: 2.5632 2022/08/01 08:16:42 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:16:42 - mmengine - INFO - Epoch(train) [9][480/940] lr: 6.0000e-02 eta: 12:47:26 time: 0.5533 data_time: 0.0439 memory: 13609 grad_norm: 2.3861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1773 loss: 2.1773 2022/08/01 08:16:52 - mmengine - INFO - Epoch(train) [9][500/940] lr: 6.0000e-02 eta: 12:47:02 time: 0.4723 data_time: 0.0384 memory: 13609 grad_norm: 2.4230 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1522 loss: 2.1522 2022/08/01 08:17:02 - mmengine - INFO - Epoch(train) [9][520/940] lr: 6.0000e-02 eta: 12:46:51 time: 0.5329 data_time: 0.0449 memory: 13609 grad_norm: 2.4591 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.2806 loss: 2.2806 2022/08/01 08:17:13 - mmengine - INFO - Epoch(train) [9][540/940] lr: 6.0000e-02 eta: 12:46:36 time: 0.5167 data_time: 0.0347 memory: 13609 grad_norm: 2.3830 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.2495 loss: 2.2495 2022/08/01 08:17:23 - mmengine - INFO - Epoch(train) [9][560/940] lr: 6.0000e-02 eta: 12:46:21 time: 0.5164 data_time: 0.0379 memory: 13609 grad_norm: 2.4021 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.4258 loss: 2.4258 2022/08/01 08:17:34 - mmengine - INFO - Epoch(train) [9][580/940] lr: 6.0000e-02 eta: 12:46:15 time: 0.5562 data_time: 0.0402 memory: 13609 grad_norm: 2.4092 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.2562 loss: 2.2562 2022/08/01 08:17:44 - mmengine - INFO - Epoch(train) [9][600/940] lr: 6.0000e-02 eta: 12:46:01 time: 0.5183 data_time: 0.0427 memory: 13609 grad_norm: 2.3514 top1_acc: 0.3750 top5_acc: 0.5312 loss_cls: 2.4051 loss: 2.4051 2022/08/01 08:17:55 - mmengine - INFO - Epoch(train) [9][620/940] lr: 6.0000e-02 eta: 12:45:44 time: 0.5070 data_time: 0.0315 memory: 13609 grad_norm: 2.3881 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3966 loss: 2.3966 2022/08/01 08:18:05 - mmengine - INFO - Epoch(train) [9][640/940] lr: 6.0000e-02 eta: 12:45:35 time: 0.5429 data_time: 0.0432 memory: 13609 grad_norm: 2.4570 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.2812 loss: 2.2812 2022/08/01 08:18:15 - mmengine - INFO - Epoch(train) [9][660/940] lr: 6.0000e-02 eta: 12:45:13 time: 0.4832 data_time: 0.0666 memory: 13609 grad_norm: 2.4182 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.2983 loss: 2.2983 2022/08/01 08:18:26 - mmengine - INFO - Epoch(train) [9][680/940] lr: 6.0000e-02 eta: 12:45:09 time: 0.5653 data_time: 0.0470 memory: 13609 grad_norm: 2.4356 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3555 loss: 2.3555 2022/08/01 08:18:36 - mmengine - INFO - Epoch(train) [9][700/940] lr: 6.0000e-02 eta: 12:44:43 time: 0.4637 data_time: 0.0292 memory: 13609 grad_norm: 2.3899 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.2308 loss: 2.2308 2022/08/01 08:18:47 - mmengine - INFO - Epoch(train) [9][720/940] lr: 6.0000e-02 eta: 12:44:39 time: 0.5668 data_time: 0.1089 memory: 13609 grad_norm: 2.3679 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1277 loss: 2.1277 2022/08/01 08:18:56 - mmengine - INFO - Epoch(train) [9][740/940] lr: 6.0000e-02 eta: 12:44:15 time: 0.4692 data_time: 0.0993 memory: 13609 grad_norm: 2.4139 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.3042 loss: 2.3042 2022/08/01 08:19:08 - mmengine - INFO - Epoch(train) [9][760/940] lr: 6.0000e-02 eta: 12:44:13 time: 0.5773 data_time: 0.1762 memory: 13609 grad_norm: 2.3981 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1231 loss: 2.1231 2022/08/01 08:19:18 - mmengine - INFO - Epoch(train) [9][780/940] lr: 6.0000e-02 eta: 12:43:54 time: 0.4955 data_time: 0.1744 memory: 13609 grad_norm: 2.4140 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3309 loss: 2.3309 2022/08/01 08:19:29 - mmengine - INFO - Epoch(train) [9][800/940] lr: 6.0000e-02 eta: 12:43:49 time: 0.5598 data_time: 0.2256 memory: 13609 grad_norm: 2.3907 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.2721 loss: 2.2721 2022/08/01 08:19:38 - mmengine - INFO - Epoch(train) [9][820/940] lr: 6.0000e-02 eta: 12:43:25 time: 0.4716 data_time: 0.1490 memory: 13609 grad_norm: 2.3941 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1721 loss: 2.1721 2022/08/01 08:19:50 - mmengine - INFO - Epoch(train) [9][840/940] lr: 6.0000e-02 eta: 12:43:28 time: 0.6002 data_time: 0.2903 memory: 13609 grad_norm: 2.3987 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2362 loss: 2.2362 2022/08/01 08:20:00 - mmengine - INFO - Epoch(train) [9][860/940] lr: 6.0000e-02 eta: 12:43:01 time: 0.4558 data_time: 0.1376 memory: 13609 grad_norm: 2.3788 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2602 loss: 2.2602 2022/08/01 08:20:11 - mmengine - INFO - Epoch(train) [9][880/940] lr: 6.0000e-02 eta: 12:43:01 time: 0.5866 data_time: 0.2383 memory: 13609 grad_norm: 2.3872 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/08/01 08:20:21 - mmengine - INFO - Epoch(train) [9][900/940] lr: 6.0000e-02 eta: 12:42:36 time: 0.4678 data_time: 0.0431 memory: 13609 grad_norm: 2.4187 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.3293 loss: 2.3293 2022/08/01 08:20:31 - mmengine - INFO - Epoch(train) [9][920/940] lr: 6.0000e-02 eta: 12:42:22 time: 0.5147 data_time: 0.0364 memory: 13609 grad_norm: 2.4388 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1561 loss: 2.1561 2022/08/01 08:20:40 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:20:40 - mmengine - INFO - Epoch(train) [9][940/940] lr: 6.0000e-02 eta: 12:41:58 time: 0.4715 data_time: 0.0863 memory: 13609 grad_norm: 2.5086 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.2949 loss: 2.2949 2022/08/01 08:20:40 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/01 08:22:28 - mmengine - INFO - Epoch(val) [9][20/78] eta: 0:05:08 time: 5.3148 data_time: 4.5682 memory: 19674 2022/08/01 08:23:41 - mmengine - INFO - Epoch(val) [9][40/78] eta: 0:02:18 time: 3.6407 data_time: 2.8937 memory: 19674 2022/08/01 08:25:16 - mmengine - INFO - Epoch(val) [9][60/78] eta: 0:01:25 time: 4.7457 data_time: 3.9891 memory: 19674 2022/08/01 08:26:27 - mmengine - INFO - Epoch(val) [9][78/78] acc/top1: 0.5618 acc/top5: 0.8026 acc/mean1: 0.5617 2022/08/01 08:26:42 - mmengine - INFO - Epoch(train) [10][20/940] lr: 6.0000e-02 eta: 12:42:21 time: 0.7026 data_time: 0.3207 memory: 19674 grad_norm: 2.4490 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1662 loss: 2.1662 2022/08/01 08:26:51 - mmengine - INFO - Epoch(train) [10][40/940] lr: 6.0000e-02 eta: 12:42:01 time: 0.4864 data_time: 0.1375 memory: 13609 grad_norm: 2.3882 top1_acc: 0.2812 top5_acc: 0.6562 loss_cls: 2.2728 loss: 2.2728 2022/08/01 08:27:04 - mmengine - INFO - Epoch(train) [10][60/940] lr: 6.0000e-02 eta: 12:42:06 time: 0.6150 data_time: 0.2368 memory: 13609 grad_norm: 2.3761 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.3141 loss: 2.3141 2022/08/01 08:27:13 - mmengine - INFO - Epoch(train) [10][80/940] lr: 6.0000e-02 eta: 12:41:40 time: 0.4574 data_time: 0.0492 memory: 13609 grad_norm: 2.4099 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2846 loss: 2.2846 2022/08/01 08:27:25 - mmengine - INFO - Epoch(train) [10][100/940] lr: 6.0000e-02 eta: 12:41:41 time: 0.5913 data_time: 0.0701 memory: 13609 grad_norm: 2.3463 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1288 loss: 2.1288 2022/08/01 08:27:34 - mmengine - INFO - Epoch(train) [10][120/940] lr: 6.0000e-02 eta: 12:41:18 time: 0.4737 data_time: 0.0332 memory: 13609 grad_norm: 2.3260 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0342 loss: 2.0342 2022/08/01 08:27:46 - mmengine - INFO - Epoch(train) [10][140/940] lr: 6.0000e-02 eta: 12:41:21 time: 0.6019 data_time: 0.0370 memory: 13609 grad_norm: 2.3879 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.2467 loss: 2.2467 2022/08/01 08:27:55 - mmengine - INFO - Epoch(train) [10][160/940] lr: 6.0000e-02 eta: 12:40:50 time: 0.4365 data_time: 0.0410 memory: 13609 grad_norm: 2.4133 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2140 loss: 2.2140 2022/08/01 08:28:06 - mmengine - INFO - Epoch(train) [10][180/940] lr: 6.0000e-02 eta: 12:40:45 time: 0.5625 data_time: 0.0777 memory: 13609 grad_norm: 2.3765 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0944 loss: 2.0944 2022/08/01 08:28:16 - mmengine - INFO - Epoch(train) [10][200/940] lr: 6.0000e-02 eta: 12:40:26 time: 0.4912 data_time: 0.0741 memory: 13609 grad_norm: 2.4330 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.0724 loss: 2.0724 2022/08/01 08:28:27 - mmengine - INFO - Epoch(train) [10][220/940] lr: 6.0000e-02 eta: 12:40:21 time: 0.5626 data_time: 0.0898 memory: 13609 grad_norm: 2.3886 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0981 loss: 2.0981 2022/08/01 08:28:37 - mmengine - INFO - Epoch(train) [10][240/940] lr: 6.0000e-02 eta: 12:40:03 time: 0.4965 data_time: 0.0737 memory: 13609 grad_norm: 2.4455 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2486 loss: 2.2486 2022/08/01 08:28:48 - mmengine - INFO - Epoch(train) [10][260/940] lr: 6.0000e-02 eta: 12:39:58 time: 0.5681 data_time: 0.0258 memory: 13609 grad_norm: 2.3764 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 2.1730 loss: 2.1730 2022/08/01 08:28:58 - mmengine - INFO - Epoch(train) [10][280/940] lr: 6.0000e-02 eta: 12:39:37 time: 0.4802 data_time: 0.0373 memory: 13609 grad_norm: 2.4123 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.3081 loss: 2.3081 2022/08/01 08:29:09 - mmengine - INFO - Epoch(train) [10][300/940] lr: 6.0000e-02 eta: 12:39:31 time: 0.5561 data_time: 0.0310 memory: 13609 grad_norm: 2.3412 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2677 loss: 2.2677 2022/08/01 08:29:20 - mmengine - INFO - Epoch(train) [10][320/940] lr: 6.0000e-02 eta: 12:39:20 time: 0.5352 data_time: 0.0381 memory: 13609 grad_norm: 2.4397 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1921 loss: 2.1921 2022/08/01 08:29:31 - mmengine - INFO - Epoch(train) [10][340/940] lr: 6.0000e-02 eta: 12:39:13 time: 0.5546 data_time: 0.0319 memory: 13609 grad_norm: 2.4467 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2126 loss: 2.2126 2022/08/01 08:29:40 - mmengine - INFO - Epoch(train) [10][360/940] lr: 6.0000e-02 eta: 12:38:42 time: 0.4277 data_time: 0.0395 memory: 13609 grad_norm: 2.4770 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2963 loss: 2.2963 2022/08/01 08:29:51 - mmengine - INFO - Epoch(train) [10][380/940] lr: 6.0000e-02 eta: 12:38:38 time: 0.5696 data_time: 0.0425 memory: 13609 grad_norm: 2.3446 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.2445 loss: 2.2445 2022/08/01 08:30:01 - mmengine - INFO - Epoch(train) [10][400/940] lr: 6.0000e-02 eta: 12:38:21 time: 0.4999 data_time: 0.0379 memory: 13609 grad_norm: 2.3700 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1668 loss: 2.1668 2022/08/01 08:30:11 - mmengine - INFO - Epoch(train) [10][420/940] lr: 6.0000e-02 eta: 12:38:04 time: 0.5059 data_time: 0.0347 memory: 13609 grad_norm: 2.3864 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1492 loss: 2.1492 2022/08/01 08:30:22 - mmengine - INFO - Epoch(train) [10][440/940] lr: 6.0000e-02 eta: 12:37:53 time: 0.5295 data_time: 0.0670 memory: 13609 grad_norm: 2.3471 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1895 loss: 2.1895 2022/08/01 08:30:32 - mmengine - INFO - Epoch(train) [10][460/940] lr: 6.0000e-02 eta: 12:37:44 time: 0.5424 data_time: 0.0984 memory: 13609 grad_norm: 2.4375 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.3130 loss: 2.3130 2022/08/01 08:30:43 - mmengine - INFO - Epoch(train) [10][480/940] lr: 6.0000e-02 eta: 12:37:33 time: 0.5371 data_time: 0.2063 memory: 13609 grad_norm: 2.4344 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.1027 loss: 2.1027 2022/08/01 08:30:53 - mmengine - INFO - Epoch(train) [10][500/940] lr: 6.0000e-02 eta: 12:37:16 time: 0.4972 data_time: 0.1786 memory: 13609 grad_norm: 2.4255 top1_acc: 0.2812 top5_acc: 0.5625 loss_cls: 2.4361 loss: 2.4361 2022/08/01 08:31:04 - mmengine - INFO - Epoch(train) [10][520/940] lr: 6.0000e-02 eta: 12:37:08 time: 0.5482 data_time: 0.2065 memory: 13609 grad_norm: 2.3875 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3654 loss: 2.3654 2022/08/01 08:31:14 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:31:14 - mmengine - INFO - Epoch(train) [10][540/940] lr: 6.0000e-02 eta: 12:36:49 time: 0.4945 data_time: 0.1434 memory: 13609 grad_norm: 2.4013 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.2404 loss: 2.2404 2022/08/01 08:31:26 - mmengine - INFO - Epoch(train) [10][560/940] lr: 6.0000e-02 eta: 12:36:46 time: 0.5751 data_time: 0.2076 memory: 13609 grad_norm: 2.4137 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1538 loss: 2.1538 2022/08/01 08:31:36 - mmengine - INFO - Epoch(train) [10][580/940] lr: 6.0000e-02 eta: 12:36:31 time: 0.5077 data_time: 0.0639 memory: 13609 grad_norm: 2.3681 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.9975 loss: 1.9975 2022/08/01 08:31:46 - mmengine - INFO - Epoch(train) [10][600/940] lr: 6.0000e-02 eta: 12:36:13 time: 0.4952 data_time: 0.1318 memory: 13609 grad_norm: 2.3640 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2268 loss: 2.2268 2022/08/01 08:31:57 - mmengine - INFO - Epoch(train) [10][620/940] lr: 6.0000e-02 eta: 12:36:06 time: 0.5530 data_time: 0.0625 memory: 13609 grad_norm: 2.3721 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.3593 loss: 2.3593 2022/08/01 08:32:07 - mmengine - INFO - Epoch(train) [10][640/940] lr: 6.0000e-02 eta: 12:35:53 time: 0.5248 data_time: 0.1283 memory: 13609 grad_norm: 2.3847 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1574 loss: 2.1574 2022/08/01 08:32:17 - mmengine - INFO - Epoch(train) [10][660/940] lr: 6.0000e-02 eta: 12:35:38 time: 0.5111 data_time: 0.0458 memory: 13609 grad_norm: 2.4235 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.1464 loss: 2.1464 2022/08/01 08:32:28 - mmengine - INFO - Epoch(train) [10][680/940] lr: 6.0000e-02 eta: 12:35:25 time: 0.5199 data_time: 0.0373 memory: 13609 grad_norm: 2.3757 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2187 loss: 2.2187 2022/08/01 08:32:38 - mmengine - INFO - Epoch(train) [10][700/940] lr: 6.0000e-02 eta: 12:35:12 time: 0.5241 data_time: 0.0322 memory: 13609 grad_norm: 2.3514 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1993 loss: 2.1993 2022/08/01 08:32:49 - mmengine - INFO - Epoch(train) [10][720/940] lr: 6.0000e-02 eta: 12:34:59 time: 0.5209 data_time: 0.0380 memory: 13609 grad_norm: 2.3554 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1927 loss: 2.1927 2022/08/01 08:32:59 - mmengine - INFO - Epoch(train) [10][740/940] lr: 6.0000e-02 eta: 12:34:46 time: 0.5203 data_time: 0.0328 memory: 13609 grad_norm: 2.3990 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2701 loss: 2.2701 2022/08/01 08:33:10 - mmengine - INFO - Epoch(train) [10][760/940] lr: 6.0000e-02 eta: 12:34:34 time: 0.5275 data_time: 0.0491 memory: 13609 grad_norm: 2.3807 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.3384 loss: 2.3384 2022/08/01 08:33:20 - mmengine - INFO - Epoch(train) [10][780/940] lr: 6.0000e-02 eta: 12:34:20 time: 0.5127 data_time: 0.0362 memory: 13609 grad_norm: 2.3489 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1949 loss: 2.1949 2022/08/01 08:33:30 - mmengine - INFO - Epoch(train) [10][800/940] lr: 6.0000e-02 eta: 12:34:07 time: 0.5237 data_time: 0.0413 memory: 13609 grad_norm: 2.4321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1638 loss: 2.1638 2022/08/01 08:33:41 - mmengine - INFO - Epoch(train) [10][820/940] lr: 6.0000e-02 eta: 12:34:00 time: 0.5563 data_time: 0.0408 memory: 13609 grad_norm: 2.3526 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2295 loss: 2.2295 2022/08/01 08:33:52 - mmengine - INFO - Epoch(train) [10][840/940] lr: 6.0000e-02 eta: 12:33:42 time: 0.4934 data_time: 0.0434 memory: 13609 grad_norm: 2.3368 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1469 loss: 2.1469 2022/08/01 08:34:03 - mmengine - INFO - Epoch(train) [10][860/940] lr: 6.0000e-02 eta: 12:33:37 time: 0.5658 data_time: 0.0409 memory: 13609 grad_norm: 2.3614 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.1858 loss: 2.1858 2022/08/01 08:34:13 - mmengine - INFO - Epoch(train) [10][880/940] lr: 6.0000e-02 eta: 12:33:21 time: 0.5023 data_time: 0.0374 memory: 13609 grad_norm: 2.4087 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.4955 loss: 2.4955 2022/08/01 08:34:24 - mmengine - INFO - Epoch(train) [10][900/940] lr: 6.0000e-02 eta: 12:33:15 time: 0.5597 data_time: 0.0395 memory: 13609 grad_norm: 2.3377 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1313 loss: 2.1313 2022/08/01 08:34:34 - mmengine - INFO - Epoch(train) [10][920/940] lr: 6.0000e-02 eta: 12:32:59 time: 0.5045 data_time: 0.0430 memory: 13609 grad_norm: 2.4101 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1117 loss: 2.1117 2022/08/01 08:34:43 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:34:43 - mmengine - INFO - Epoch(train) [10][940/940] lr: 6.0000e-02 eta: 12:32:35 time: 0.4613 data_time: 0.0207 memory: 13609 grad_norm: 2.4672 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.2664 loss: 2.2664 2022/08/01 08:36:28 - mmengine - INFO - Epoch(val) [10][20/78] eta: 0:05:05 time: 5.2595 data_time: 4.4805 memory: 19674 2022/08/01 08:37:42 - mmengine - INFO - Epoch(val) [10][40/78] eta: 0:02:19 time: 3.6647 data_time: 2.9044 memory: 19674 2022/08/01 08:39:17 - mmengine - INFO - Epoch(val) [10][60/78] eta: 0:01:25 time: 4.7673 data_time: 4.0056 memory: 19674 2022/08/01 08:40:30 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.5759 acc/top5: 0.8159 acc/mean1: 0.5757 2022/08/01 08:40:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_7.pth is removed 2022/08/01 08:40:32 - mmengine - INFO - The best checkpoint with 0.5759 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/01 08:40:46 - mmengine - INFO - Epoch(train) [11][20/940] lr: 6.0000e-02 eta: 12:32:55 time: 0.7036 data_time: 0.4183 memory: 19674 grad_norm: 2.3470 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2086 loss: 2.2086 2022/08/01 08:40:55 - mmengine - INFO - Epoch(train) [11][40/940] lr: 6.0000e-02 eta: 12:32:31 time: 0.4592 data_time: 0.1787 memory: 13609 grad_norm: 2.3978 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.2124 loss: 2.2124 2022/08/01 08:41:07 - mmengine - INFO - Epoch(train) [11][60/940] lr: 6.0000e-02 eta: 12:32:32 time: 0.6006 data_time: 0.2909 memory: 13609 grad_norm: 2.3522 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0005 loss: 2.0005 2022/08/01 08:41:16 - mmengine - INFO - Epoch(train) [11][80/940] lr: 6.0000e-02 eta: 12:32:08 time: 0.4582 data_time: 0.1688 memory: 13609 grad_norm: 2.3898 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1622 loss: 2.1622 2022/08/01 08:41:27 - mmengine - INFO - Epoch(train) [11][100/940] lr: 6.0000e-02 eta: 12:31:58 time: 0.5372 data_time: 0.1953 memory: 13609 grad_norm: 2.4083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1378 loss: 2.1378 2022/08/01 08:41:37 - mmengine - INFO - Epoch(train) [11][120/940] lr: 6.0000e-02 eta: 12:31:37 time: 0.4768 data_time: 0.1455 memory: 13609 grad_norm: 2.3307 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2091 loss: 2.2091 2022/08/01 08:41:49 - mmengine - INFO - Epoch(train) [11][140/940] lr: 6.0000e-02 eta: 12:31:38 time: 0.6002 data_time: 0.1581 memory: 13609 grad_norm: 2.4305 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.2245 loss: 2.2245 2022/08/01 08:41:58 - mmengine - INFO - Epoch(train) [11][160/940] lr: 6.0000e-02 eta: 12:31:18 time: 0.4820 data_time: 0.0618 memory: 13609 grad_norm: 2.3840 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1832 loss: 2.1832 2022/08/01 08:42:09 - mmengine - INFO - Epoch(train) [11][180/940] lr: 6.0000e-02 eta: 12:31:09 time: 0.5402 data_time: 0.1710 memory: 13609 grad_norm: 2.3638 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1601 loss: 2.1601 2022/08/01 08:42:19 - mmengine - INFO - Epoch(train) [11][200/940] lr: 6.0000e-02 eta: 12:30:53 time: 0.5080 data_time: 0.0471 memory: 13609 grad_norm: 2.4076 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.3403 loss: 2.3403 2022/08/01 08:42:30 - mmengine - INFO - Epoch(train) [11][220/940] lr: 6.0000e-02 eta: 12:30:42 time: 0.5287 data_time: 0.0557 memory: 13609 grad_norm: 2.3562 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.2009 loss: 2.2009 2022/08/01 08:42:40 - mmengine - INFO - Epoch(train) [11][240/940] lr: 6.0000e-02 eta: 12:30:27 time: 0.5090 data_time: 0.0587 memory: 13609 grad_norm: 2.3567 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.2158 loss: 2.2158 2022/08/01 08:42:51 - mmengine - INFO - Epoch(train) [11][260/940] lr: 6.0000e-02 eta: 12:30:19 time: 0.5487 data_time: 0.0357 memory: 13609 grad_norm: 2.4078 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.1634 loss: 2.1634 2022/08/01 08:43:01 - mmengine - INFO - Epoch(train) [11][280/940] lr: 6.0000e-02 eta: 12:29:59 time: 0.4808 data_time: 0.0804 memory: 13609 grad_norm: 2.4003 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2462 loss: 2.2462 2022/08/01 08:43:13 - mmengine - INFO - Epoch(train) [11][300/940] lr: 6.0000e-02 eta: 12:29:59 time: 0.5946 data_time: 0.1246 memory: 13609 grad_norm: 2.4219 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2666 loss: 2.2666 2022/08/01 08:43:22 - mmengine - INFO - Epoch(train) [11][320/940] lr: 6.0000e-02 eta: 12:29:37 time: 0.4681 data_time: 0.1153 memory: 13609 grad_norm: 2.3993 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.2196 loss: 2.2196 2022/08/01 08:43:34 - mmengine - INFO - Epoch(train) [11][340/940] lr: 6.0000e-02 eta: 12:29:36 time: 0.5901 data_time: 0.1963 memory: 13609 grad_norm: 2.3614 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2457 loss: 2.2457 2022/08/01 08:43:43 - mmengine - INFO - Epoch(train) [11][360/940] lr: 6.0000e-02 eta: 12:29:15 time: 0.4761 data_time: 0.0641 memory: 13609 grad_norm: 2.4000 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2192 loss: 2.2192 2022/08/01 08:43:55 - mmengine - INFO - Epoch(train) [11][380/940] lr: 6.0000e-02 eta: 12:29:10 time: 0.5645 data_time: 0.0590 memory: 13609 grad_norm: 2.4237 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2540 loss: 2.2540 2022/08/01 08:44:04 - mmengine - INFO - Epoch(train) [11][400/940] lr: 6.0000e-02 eta: 12:28:50 time: 0.4815 data_time: 0.0325 memory: 13609 grad_norm: 2.3860 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 2.1112 loss: 2.1112 2022/08/01 08:44:15 - mmengine - INFO - Epoch(train) [11][420/940] lr: 6.0000e-02 eta: 12:28:45 time: 0.5653 data_time: 0.0333 memory: 13609 grad_norm: 2.3917 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1725 loss: 2.1725 2022/08/01 08:44:26 - mmengine - INFO - Epoch(train) [11][440/940] lr: 6.0000e-02 eta: 12:28:32 time: 0.5194 data_time: 0.0367 memory: 13609 grad_norm: 2.3883 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.2454 loss: 2.2454 2022/08/01 08:44:36 - mmengine - INFO - Epoch(train) [11][460/940] lr: 6.0000e-02 eta: 12:28:14 time: 0.4938 data_time: 0.0343 memory: 13609 grad_norm: 2.3824 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1167 loss: 2.1167 2022/08/01 08:44:45 - mmengine - INFO - Epoch(train) [11][480/940] lr: 6.0000e-02 eta: 12:27:55 time: 0.4819 data_time: 0.0332 memory: 13609 grad_norm: 2.3905 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.4018 loss: 2.4018 2022/08/01 08:44:57 - mmengine - INFO - Epoch(train) [11][500/940] lr: 6.0000e-02 eta: 12:27:51 time: 0.5707 data_time: 0.0942 memory: 13609 grad_norm: 2.3153 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.2198 loss: 2.2198 2022/08/01 08:45:07 - mmengine - INFO - Epoch(train) [11][520/940] lr: 6.0000e-02 eta: 12:27:33 time: 0.4907 data_time: 0.0870 memory: 13609 grad_norm: 2.4102 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.1134 loss: 2.1134 2022/08/01 08:45:18 - mmengine - INFO - Epoch(train) [11][540/940] lr: 6.0000e-02 eta: 12:27:29 time: 0.5741 data_time: 0.2379 memory: 13609 grad_norm: 2.4051 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1859 loss: 2.1859 2022/08/01 08:45:28 - mmengine - INFO - Epoch(train) [11][560/940] lr: 6.0000e-02 eta: 12:27:13 time: 0.5008 data_time: 0.1750 memory: 13609 grad_norm: 2.3694 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.2409 loss: 2.2409 2022/08/01 08:45:40 - mmengine - INFO - Epoch(train) [11][580/940] lr: 6.0000e-02 eta: 12:27:09 time: 0.5736 data_time: 0.2533 memory: 13609 grad_norm: 2.4047 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2082 loss: 2.2082 2022/08/01 08:45:50 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:45:50 - mmengine - INFO - Epoch(train) [11][600/940] lr: 6.0000e-02 eta: 12:26:54 time: 0.5123 data_time: 0.0825 memory: 13609 grad_norm: 2.4287 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1204 loss: 2.1204 2022/08/01 08:46:01 - mmengine - INFO - Epoch(train) [11][620/940] lr: 6.0000e-02 eta: 12:26:45 time: 0.5416 data_time: 0.1923 memory: 13609 grad_norm: 2.3374 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.2182 loss: 2.2182 2022/08/01 08:46:11 - mmengine - INFO - Epoch(train) [11][640/940] lr: 6.0000e-02 eta: 12:26:30 time: 0.5088 data_time: 0.0941 memory: 13609 grad_norm: 2.4180 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0621 loss: 2.0621 2022/08/01 08:46:22 - mmengine - INFO - Epoch(train) [11][660/940] lr: 6.0000e-02 eta: 12:26:22 time: 0.5486 data_time: 0.0793 memory: 13609 grad_norm: 2.3645 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1282 loss: 2.1282 2022/08/01 08:46:32 - mmengine - INFO - Epoch(train) [11][680/940] lr: 6.0000e-02 eta: 12:26:06 time: 0.5021 data_time: 0.0375 memory: 13609 grad_norm: 2.3952 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.4917 loss: 2.4917 2022/08/01 08:46:42 - mmengine - INFO - Epoch(train) [11][700/940] lr: 6.0000e-02 eta: 12:25:52 time: 0.5128 data_time: 0.0552 memory: 13609 grad_norm: 2.4162 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1169 loss: 2.1169 2022/08/01 08:46:51 - mmengine - INFO - Epoch(train) [11][720/940] lr: 6.0000e-02 eta: 12:25:30 time: 0.4647 data_time: 0.0580 memory: 13609 grad_norm: 2.3375 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.1813 loss: 2.1813 2022/08/01 08:47:02 - mmengine - INFO - Epoch(train) [11][740/940] lr: 6.0000e-02 eta: 12:25:22 time: 0.5504 data_time: 0.0540 memory: 13609 grad_norm: 2.3686 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2404 loss: 2.2404 2022/08/01 08:47:13 - mmengine - INFO - Epoch(train) [11][760/940] lr: 6.0000e-02 eta: 12:25:11 time: 0.5314 data_time: 0.0314 memory: 13609 grad_norm: 2.3352 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.1983 loss: 2.1983 2022/08/01 08:47:24 - mmengine - INFO - Epoch(train) [11][780/940] lr: 6.0000e-02 eta: 12:25:05 time: 0.5592 data_time: 0.2309 memory: 13609 grad_norm: 2.3746 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1313 loss: 2.1313 2022/08/01 08:47:33 - mmengine - INFO - Epoch(train) [11][800/940] lr: 6.0000e-02 eta: 12:24:43 time: 0.4645 data_time: 0.1164 memory: 13609 grad_norm: 2.3893 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2877 loss: 2.2877 2022/08/01 08:47:44 - mmengine - INFO - Epoch(train) [11][820/940] lr: 6.0000e-02 eta: 12:24:33 time: 0.5385 data_time: 0.1360 memory: 13609 grad_norm: 2.3743 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2165 loss: 2.2165 2022/08/01 08:47:55 - mmengine - INFO - Epoch(train) [11][840/940] lr: 6.0000e-02 eta: 12:24:24 time: 0.5434 data_time: 0.1515 memory: 13609 grad_norm: 2.3608 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1184 loss: 2.1184 2022/08/01 08:48:05 - mmengine - INFO - Epoch(train) [11][860/940] lr: 6.0000e-02 eta: 12:24:06 time: 0.4893 data_time: 0.1111 memory: 13609 grad_norm: 2.3680 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2181 loss: 2.2181 2022/08/01 08:48:16 - mmengine - INFO - Epoch(train) [11][880/940] lr: 6.0000e-02 eta: 12:23:55 time: 0.5309 data_time: 0.1446 memory: 13609 grad_norm: 2.3762 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1574 loss: 2.1574 2022/08/01 08:48:26 - mmengine - INFO - Epoch(train) [11][900/940] lr: 6.0000e-02 eta: 12:23:43 time: 0.5230 data_time: 0.1082 memory: 13609 grad_norm: 2.4345 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2082 loss: 2.2082 2022/08/01 08:48:36 - mmengine - INFO - Epoch(train) [11][920/940] lr: 6.0000e-02 eta: 12:23:27 time: 0.4995 data_time: 0.0915 memory: 13609 grad_norm: 2.3841 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2214 loss: 2.2214 2022/08/01 08:48:45 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 08:48:45 - mmengine - INFO - Epoch(train) [11][940/940] lr: 6.0000e-02 eta: 12:23:06 time: 0.4714 data_time: 0.0385 memory: 13609 grad_norm: 2.4773 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.2969 loss: 2.2969 2022/08/01 08:50:30 - mmengine - INFO - Epoch(val) [11][20/78] eta: 0:05:03 time: 5.2333 data_time: 4.4729 memory: 19674 2022/08/01 08:51:43 - mmengine - INFO - Epoch(val) [11][40/78] eta: 0:02:18 time: 3.6380 data_time: 2.8749 memory: 19674 2022/08/01 08:53:19 - mmengine - INFO - Epoch(val) [11][60/78] eta: 0:01:26 time: 4.7833 data_time: 4.0066 memory: 19674 2022/08/01 08:54:32 - mmengine - INFO - Epoch(val) [11][78/78] acc/top1: 0.5694 acc/top5: 0.8050 acc/mean1: 0.5692 2022/08/01 08:54:46 - mmengine - INFO - Epoch(train) [12][20/940] lr: 6.0000e-02 eta: 12:23:22 time: 0.6951 data_time: 0.3914 memory: 19674 grad_norm: 2.3408 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.2162 loss: 2.2162 2022/08/01 08:54:55 - mmengine - INFO - Epoch(train) [12][40/940] lr: 6.0000e-02 eta: 12:23:02 time: 0.4790 data_time: 0.1613 memory: 13609 grad_norm: 2.3476 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3589 loss: 2.3589 2022/08/01 08:55:07 - mmengine - INFO - Epoch(train) [12][60/940] lr: 6.0000e-02 eta: 12:22:57 time: 0.5683 data_time: 0.0893 memory: 13609 grad_norm: 2.3517 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9222 loss: 1.9222 2022/08/01 08:55:17 - mmengine - INFO - Epoch(train) [12][80/940] lr: 6.0000e-02 eta: 12:22:42 time: 0.5061 data_time: 0.0376 memory: 13609 grad_norm: 2.3614 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.1073 loss: 2.1073 2022/08/01 08:55:29 - mmengine - INFO - Epoch(train) [12][100/940] lr: 6.0000e-02 eta: 12:22:41 time: 0.5919 data_time: 0.0386 memory: 13609 grad_norm: 2.3788 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1334 loss: 2.1334 2022/08/01 08:55:38 - mmengine - INFO - Epoch(train) [12][120/940] lr: 6.0000e-02 eta: 12:22:19 time: 0.4635 data_time: 0.0347 memory: 13609 grad_norm: 2.3586 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1949 loss: 2.1949 2022/08/01 08:55:50 - mmengine - INFO - Epoch(train) [12][140/940] lr: 6.0000e-02 eta: 12:22:17 time: 0.5884 data_time: 0.0359 memory: 13609 grad_norm: 2.3983 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.2271 loss: 2.2271 2022/08/01 08:55:59 - mmengine - INFO - Epoch(train) [12][160/940] lr: 6.0000e-02 eta: 12:21:56 time: 0.4643 data_time: 0.0343 memory: 13609 grad_norm: 2.3711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2501 loss: 2.2501 2022/08/01 08:56:10 - mmengine - INFO - Epoch(train) [12][180/940] lr: 6.0000e-02 eta: 12:21:51 time: 0.5685 data_time: 0.0345 memory: 13609 grad_norm: 2.3441 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 2.1683 loss: 2.1683 2022/08/01 08:56:20 - mmengine - INFO - Epoch(train) [12][200/940] lr: 6.0000e-02 eta: 12:21:29 time: 0.4621 data_time: 0.0334 memory: 13609 grad_norm: 2.3796 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1456 loss: 2.1456 2022/08/01 08:56:32 - mmengine - INFO - Epoch(train) [12][220/940] lr: 6.0000e-02 eta: 12:21:30 time: 0.6059 data_time: 0.0884 memory: 13609 grad_norm: 2.4251 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1757 loss: 2.1757 2022/08/01 08:56:41 - mmengine - INFO - Epoch(train) [12][240/940] lr: 6.0000e-02 eta: 12:21:07 time: 0.4560 data_time: 0.0289 memory: 13609 grad_norm: 2.3773 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.2088 loss: 2.2088 2022/08/01 08:56:52 - mmengine - INFO - Epoch(train) [12][260/940] lr: 6.0000e-02 eta: 12:21:00 time: 0.5609 data_time: 0.1302 memory: 13609 grad_norm: 2.4109 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1071 loss: 2.1071 2022/08/01 08:57:02 - mmengine - INFO - Epoch(train) [12][280/940] lr: 6.0000e-02 eta: 12:20:45 time: 0.5006 data_time: 0.0947 memory: 13609 grad_norm: 2.3384 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1717 loss: 2.1717 2022/08/01 08:57:14 - mmengine - INFO - Epoch(train) [12][300/940] lr: 6.0000e-02 eta: 12:20:46 time: 0.6096 data_time: 0.0371 memory: 13609 grad_norm: 2.3846 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0645 loss: 2.0645 2022/08/01 08:57:23 - mmengine - INFO - Epoch(train) [12][320/940] lr: 6.0000e-02 eta: 12:20:23 time: 0.4519 data_time: 0.0328 memory: 13609 grad_norm: 2.4096 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.2030 loss: 2.2030 2022/08/01 08:57:34 - mmengine - INFO - Epoch(train) [12][340/940] lr: 6.0000e-02 eta: 12:20:12 time: 0.5315 data_time: 0.0348 memory: 13609 grad_norm: 2.3837 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.0265 loss: 2.0265 2022/08/01 08:57:44 - mmengine - INFO - Epoch(train) [12][360/940] lr: 6.0000e-02 eta: 12:19:59 time: 0.5188 data_time: 0.0320 memory: 13609 grad_norm: 2.4028 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2350 loss: 2.2350 2022/08/01 08:57:55 - mmengine - INFO - Epoch(train) [12][380/940] lr: 6.0000e-02 eta: 12:19:48 time: 0.5312 data_time: 0.0357 memory: 13609 grad_norm: 2.4115 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.1938 loss: 2.1938 2022/08/01 08:58:05 - mmengine - INFO - Epoch(train) [12][400/940] lr: 6.0000e-02 eta: 12:19:29 time: 0.4777 data_time: 0.0731 memory: 13609 grad_norm: 2.3460 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.0967 loss: 2.0967 2022/08/01 08:58:16 - mmengine - INFO - Epoch(train) [12][420/940] lr: 6.0000e-02 eta: 12:19:26 time: 0.5820 data_time: 0.0357 memory: 13609 grad_norm: 2.3666 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.2503 loss: 2.2503 2022/08/01 08:58:26 - mmengine - INFO - Epoch(train) [12][440/940] lr: 6.0000e-02 eta: 12:19:06 time: 0.4727 data_time: 0.0661 memory: 13609 grad_norm: 2.3973 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.0923 loss: 2.0923 2022/08/01 08:58:37 - mmengine - INFO - Epoch(train) [12][460/940] lr: 6.0000e-02 eta: 12:18:59 time: 0.5600 data_time: 0.0389 memory: 13609 grad_norm: 2.4475 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.1734 loss: 2.1734 2022/08/01 08:58:47 - mmengine - INFO - Epoch(train) [12][480/940] lr: 6.0000e-02 eta: 12:18:47 time: 0.5219 data_time: 0.0316 memory: 13609 grad_norm: 2.3867 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.2496 loss: 2.2496 2022/08/01 08:58:59 - mmengine - INFO - Epoch(train) [12][500/940] lr: 6.0000e-02 eta: 12:18:43 time: 0.5748 data_time: 0.0408 memory: 13609 grad_norm: 2.4025 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2207 loss: 2.2207 2022/08/01 08:59:08 - mmengine - INFO - Epoch(train) [12][520/940] lr: 6.0000e-02 eta: 12:18:24 time: 0.4778 data_time: 0.0501 memory: 13609 grad_norm: 2.4045 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0923 loss: 2.0923 2022/08/01 08:59:19 - mmengine - INFO - Epoch(train) [12][540/940] lr: 6.0000e-02 eta: 12:18:15 time: 0.5490 data_time: 0.0310 memory: 13609 grad_norm: 2.3836 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1152 loss: 2.1152 2022/08/01 08:59:29 - mmengine - INFO - Epoch(train) [12][560/940] lr: 6.0000e-02 eta: 12:17:55 time: 0.4705 data_time: 0.0332 memory: 13609 grad_norm: 2.4295 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.1832 loss: 2.1832 2022/08/01 08:59:40 - mmengine - INFO - Epoch(train) [12][580/940] lr: 6.0000e-02 eta: 12:17:46 time: 0.5447 data_time: 0.0333 memory: 13609 grad_norm: 2.3847 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.2464 loss: 2.2464 2022/08/01 08:59:50 - mmengine - INFO - Epoch(train) [12][600/940] lr: 6.0000e-02 eta: 12:17:34 time: 0.5247 data_time: 0.0537 memory: 13609 grad_norm: 2.3674 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.2400 loss: 2.2400 2022/08/01 09:00:01 - mmengine - INFO - Epoch(train) [12][620/940] lr: 6.0000e-02 eta: 12:17:27 time: 0.5525 data_time: 0.0364 memory: 13609 grad_norm: 2.4280 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2643 loss: 2.2643 2022/08/01 09:00:11 - mmengine - INFO - Epoch(train) [12][640/940] lr: 6.0000e-02 eta: 12:17:09 time: 0.4835 data_time: 0.0345 memory: 13609 grad_norm: 2.3588 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1272 loss: 2.1272 2022/08/01 09:00:22 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:00:22 - mmengine - INFO - Epoch(train) [12][660/940] lr: 6.0000e-02 eta: 12:17:03 time: 0.5655 data_time: 0.0369 memory: 13609 grad_norm: 2.3457 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1616 loss: 2.1616 2022/08/01 09:00:32 - mmengine - INFO - Epoch(train) [12][680/940] lr: 6.0000e-02 eta: 12:16:49 time: 0.5139 data_time: 0.0460 memory: 13609 grad_norm: 2.3705 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2617 loss: 2.2617 2022/08/01 09:00:43 - mmengine - INFO - Epoch(train) [12][700/940] lr: 6.0000e-02 eta: 12:16:37 time: 0.5233 data_time: 0.0367 memory: 13609 grad_norm: 2.3694 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1024 loss: 2.1024 2022/08/01 09:00:53 - mmengine - INFO - Epoch(train) [12][720/940] lr: 6.0000e-02 eta: 12:16:23 time: 0.5070 data_time: 0.0340 memory: 13609 grad_norm: 2.3980 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.3829 loss: 2.3829 2022/08/01 09:01:04 - mmengine - INFO - Epoch(train) [12][740/940] lr: 6.0000e-02 eta: 12:16:19 time: 0.5770 data_time: 0.0391 memory: 13609 grad_norm: 2.3825 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.2061 loss: 2.2061 2022/08/01 09:01:14 - mmengine - INFO - Epoch(train) [12][760/940] lr: 6.0000e-02 eta: 12:15:58 time: 0.4649 data_time: 0.0334 memory: 13609 grad_norm: 2.3655 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1476 loss: 2.1476 2022/08/01 09:01:26 - mmengine - INFO - Epoch(train) [12][780/940] lr: 6.0000e-02 eta: 12:15:59 time: 0.6095 data_time: 0.0394 memory: 13609 grad_norm: 2.3884 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2031 loss: 2.2031 2022/08/01 09:01:35 - mmengine - INFO - Epoch(train) [12][800/940] lr: 6.0000e-02 eta: 12:15:38 time: 0.4622 data_time: 0.0319 memory: 13609 grad_norm: 2.3573 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2837 loss: 2.2837 2022/08/01 09:01:48 - mmengine - INFO - Epoch(train) [12][820/940] lr: 6.0000e-02 eta: 12:15:47 time: 0.6647 data_time: 0.1479 memory: 13609 grad_norm: 2.3941 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2831 loss: 2.2831 2022/08/01 09:01:58 - mmengine - INFO - Epoch(train) [12][840/940] lr: 6.0000e-02 eta: 12:15:30 time: 0.4901 data_time: 0.1923 memory: 13609 grad_norm: 2.3197 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0484 loss: 2.0484 2022/08/01 09:02:10 - mmengine - INFO - Epoch(train) [12][860/940] lr: 6.0000e-02 eta: 12:15:25 time: 0.5719 data_time: 0.2771 memory: 13609 grad_norm: 2.4000 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2464 loss: 2.2464 2022/08/01 09:02:19 - mmengine - INFO - Epoch(train) [12][880/940] lr: 6.0000e-02 eta: 12:15:04 time: 0.4631 data_time: 0.1590 memory: 13609 grad_norm: 2.3613 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2651 loss: 2.2651 2022/08/01 09:02:30 - mmengine - INFO - Epoch(train) [12][900/940] lr: 6.0000e-02 eta: 12:14:55 time: 0.5437 data_time: 0.2337 memory: 13609 grad_norm: 2.3127 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1112 loss: 2.1112 2022/08/01 09:02:39 - mmengine - INFO - Epoch(train) [12][920/940] lr: 6.0000e-02 eta: 12:14:36 time: 0.4805 data_time: 0.1457 memory: 13609 grad_norm: 2.3711 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.2185 loss: 2.2185 2022/08/01 09:02:49 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:02:49 - mmengine - INFO - Epoch(train) [12][940/940] lr: 6.0000e-02 eta: 12:14:18 time: 0.4770 data_time: 0.2080 memory: 13609 grad_norm: 2.4401 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 2.1683 loss: 2.1683 2022/08/01 09:02:49 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/01 09:04:36 - mmengine - INFO - Epoch(val) [12][20/78] eta: 0:05:04 time: 5.2567 data_time: 4.5134 memory: 19674 2022/08/01 09:05:48 - mmengine - INFO - Epoch(val) [12][40/78] eta: 0:02:16 time: 3.5989 data_time: 2.8493 memory: 19674 2022/08/01 09:07:24 - mmengine - INFO - Epoch(val) [12][60/78] eta: 0:01:26 time: 4.7889 data_time: 4.0355 memory: 19674 2022/08/01 09:08:35 - mmengine - INFO - Epoch(val) [12][78/78] acc/top1: 0.5816 acc/top5: 0.8249 acc/mean1: 0.5813 2022/08/01 09:08:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_11.pth is removed 2022/08/01 09:08:37 - mmengine - INFO - The best checkpoint with 0.5816 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/08/01 09:08:51 - mmengine - INFO - Epoch(train) [13][20/940] lr: 6.0000e-02 eta: 12:14:30 time: 0.6908 data_time: 0.3857 memory: 19674 grad_norm: 2.3350 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.2157 loss: 2.2157 2022/08/01 09:09:01 - mmengine - INFO - Epoch(train) [13][40/940] lr: 6.0000e-02 eta: 12:14:13 time: 0.4869 data_time: 0.1797 memory: 13609 grad_norm: 2.3301 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1430 loss: 2.1430 2022/08/01 09:09:12 - mmengine - INFO - Epoch(train) [13][60/940] lr: 6.0000e-02 eta: 12:14:06 time: 0.5580 data_time: 0.2570 memory: 13609 grad_norm: 2.4040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1589 loss: 2.1589 2022/08/01 09:09:21 - mmengine - INFO - Epoch(train) [13][80/940] lr: 6.0000e-02 eta: 12:13:43 time: 0.4539 data_time: 0.1399 memory: 13609 grad_norm: 2.3805 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1398 loss: 2.1398 2022/08/01 09:09:32 - mmengine - INFO - Epoch(train) [13][100/940] lr: 6.0000e-02 eta: 12:13:32 time: 0.5292 data_time: 0.1703 memory: 13609 grad_norm: 2.3449 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1927 loss: 2.1927 2022/08/01 09:09:43 - mmengine - INFO - Epoch(train) [13][120/940] lr: 6.0000e-02 eta: 12:13:24 time: 0.5470 data_time: 0.1775 memory: 13609 grad_norm: 2.4085 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.0043 loss: 2.0043 2022/08/01 09:09:54 - mmengine - INFO - Epoch(train) [13][140/940] lr: 6.0000e-02 eta: 12:13:16 time: 0.5549 data_time: 0.1272 memory: 13609 grad_norm: 2.3515 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0384 loss: 2.0384 2022/08/01 09:10:04 - mmengine - INFO - Epoch(train) [13][160/940] lr: 6.0000e-02 eta: 12:13:00 time: 0.4959 data_time: 0.1443 memory: 13609 grad_norm: 2.3499 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9757 loss: 1.9757 2022/08/01 09:10:15 - mmengine - INFO - Epoch(train) [13][180/940] lr: 6.0000e-02 eta: 12:12:58 time: 0.5891 data_time: 0.2572 memory: 13609 grad_norm: 2.3531 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 2.1441 loss: 2.1441 2022/08/01 09:10:26 - mmengine - INFO - Epoch(train) [13][200/940] lr: 6.0000e-02 eta: 12:12:44 time: 0.5093 data_time: 0.1706 memory: 13609 grad_norm: 2.4255 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1779 loss: 2.1779 2022/08/01 09:10:36 - mmengine - INFO - Epoch(train) [13][220/940] lr: 6.0000e-02 eta: 12:12:30 time: 0.5112 data_time: 0.1830 memory: 13609 grad_norm: 2.3996 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.2314 loss: 2.2314 2022/08/01 09:10:45 - mmengine - INFO - Epoch(train) [13][240/940] lr: 6.0000e-02 eta: 12:12:11 time: 0.4724 data_time: 0.1072 memory: 13609 grad_norm: 2.4073 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1710 loss: 2.1710 2022/08/01 09:10:57 - mmengine - INFO - Epoch(train) [13][260/940] lr: 6.0000e-02 eta: 12:12:11 time: 0.6118 data_time: 0.1161 memory: 13609 grad_norm: 2.3715 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 2.1319 loss: 2.1319 2022/08/01 09:11:07 - mmengine - INFO - Epoch(train) [13][280/940] lr: 6.0000e-02 eta: 12:11:51 time: 0.4668 data_time: 0.0807 memory: 13609 grad_norm: 2.3236 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.9710 loss: 1.9710 2022/08/01 09:11:18 - mmengine - INFO - Epoch(train) [13][300/940] lr: 6.0000e-02 eta: 12:11:47 time: 0.5765 data_time: 0.1726 memory: 13609 grad_norm: 2.3792 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0483 loss: 2.0483 2022/08/01 09:11:28 - mmengine - INFO - Epoch(train) [13][320/940] lr: 6.0000e-02 eta: 12:11:28 time: 0.4769 data_time: 0.1771 memory: 13609 grad_norm: 2.3907 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.1927 loss: 2.1927 2022/08/01 09:11:39 - mmengine - INFO - Epoch(train) [13][340/940] lr: 6.0000e-02 eta: 12:11:21 time: 0.5540 data_time: 0.1295 memory: 13609 grad_norm: 2.3840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1350 loss: 2.1350 2022/08/01 09:11:49 - mmengine - INFO - Epoch(train) [13][360/940] lr: 6.0000e-02 eta: 12:11:06 time: 0.5016 data_time: 0.1027 memory: 13609 grad_norm: 2.3721 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1970 loss: 2.1970 2022/08/01 09:12:00 - mmengine - INFO - Epoch(train) [13][380/940] lr: 6.0000e-02 eta: 12:11:01 time: 0.5730 data_time: 0.1585 memory: 13609 grad_norm: 2.3177 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.0932 loss: 2.0932 2022/08/01 09:12:10 - mmengine - INFO - Epoch(train) [13][400/940] lr: 6.0000e-02 eta: 12:10:42 time: 0.4786 data_time: 0.1356 memory: 13609 grad_norm: 2.3826 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.2643 loss: 2.2643 2022/08/01 09:12:21 - mmengine - INFO - Epoch(train) [13][420/940] lr: 6.0000e-02 eta: 12:10:33 time: 0.5412 data_time: 0.1665 memory: 13609 grad_norm: 2.4004 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1232 loss: 2.1232 2022/08/01 09:12:31 - mmengine - INFO - Epoch(train) [13][440/940] lr: 6.0000e-02 eta: 12:10:17 time: 0.4962 data_time: 0.1771 memory: 13609 grad_norm: 2.3425 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1424 loss: 2.1424 2022/08/01 09:12:41 - mmengine - INFO - Epoch(train) [13][460/940] lr: 6.0000e-02 eta: 12:10:06 time: 0.5301 data_time: 0.1924 memory: 13609 grad_norm: 2.3912 top1_acc: 0.4062 top5_acc: 0.5625 loss_cls: 2.1129 loss: 2.1129 2022/08/01 09:12:51 - mmengine - INFO - Epoch(train) [13][480/940] lr: 6.0000e-02 eta: 12:09:52 time: 0.5067 data_time: 0.0464 memory: 13609 grad_norm: 2.3917 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1399 loss: 2.1399 2022/08/01 09:13:03 - mmengine - INFO - Epoch(train) [13][500/940] lr: 6.0000e-02 eta: 12:09:50 time: 0.5962 data_time: 0.0512 memory: 13609 grad_norm: 2.3903 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1965 loss: 2.1965 2022/08/01 09:13:12 - mmengine - INFO - Epoch(train) [13][520/940] lr: 6.0000e-02 eta: 12:09:27 time: 0.4441 data_time: 0.0338 memory: 13609 grad_norm: 2.3643 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1591 loss: 2.1591 2022/08/01 09:13:23 - mmengine - INFO - Epoch(train) [13][540/940] lr: 6.0000e-02 eta: 12:09:18 time: 0.5394 data_time: 0.0343 memory: 13609 grad_norm: 2.3851 top1_acc: 0.6562 top5_acc: 0.6875 loss_cls: 2.1163 loss: 2.1163 2022/08/01 09:13:33 - mmengine - INFO - Epoch(train) [13][560/940] lr: 6.0000e-02 eta: 12:09:01 time: 0.4872 data_time: 0.0338 memory: 13609 grad_norm: 2.4309 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.2353 loss: 2.2353 2022/08/01 09:13:43 - mmengine - INFO - Epoch(train) [13][580/940] lr: 6.0000e-02 eta: 12:08:49 time: 0.5231 data_time: 0.0506 memory: 13609 grad_norm: 2.3858 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1353 loss: 2.1353 2022/08/01 09:13:56 - mmengine - INFO - Epoch(train) [13][600/940] lr: 6.0000e-02 eta: 12:08:56 time: 0.6601 data_time: 0.0368 memory: 13609 grad_norm: 2.3862 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1978 loss: 2.1978 2022/08/01 09:14:06 - mmengine - INFO - Epoch(train) [13][620/940] lr: 6.0000e-02 eta: 12:08:35 time: 0.4634 data_time: 0.0345 memory: 13609 grad_norm: 2.4200 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.3041 loss: 2.3041 2022/08/01 09:14:16 - mmengine - INFO - Epoch(train) [13][640/940] lr: 6.0000e-02 eta: 12:08:20 time: 0.5002 data_time: 0.0363 memory: 13609 grad_norm: 2.4203 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.2581 loss: 2.2581 2022/08/01 09:14:26 - mmengine - INFO - Epoch(train) [13][660/940] lr: 6.0000e-02 eta: 12:08:06 time: 0.5063 data_time: 0.0373 memory: 13609 grad_norm: 2.3438 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.2350 loss: 2.2350 2022/08/01 09:14:36 - mmengine - INFO - Epoch(train) [13][680/940] lr: 6.0000e-02 eta: 12:07:53 time: 0.5164 data_time: 0.0372 memory: 13609 grad_norm: 2.3368 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 2.2106 loss: 2.2106 2022/08/01 09:14:47 - mmengine - INFO - Epoch(train) [13][700/940] lr: 6.0000e-02 eta: 12:07:41 time: 0.5219 data_time: 0.0576 memory: 13609 grad_norm: 2.3828 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.2102 loss: 2.2102 2022/08/01 09:14:57 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:14:57 - mmengine - INFO - Epoch(train) [13][720/940] lr: 6.0000e-02 eta: 12:07:28 time: 0.5169 data_time: 0.0971 memory: 13609 grad_norm: 2.3747 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.2133 loss: 2.2133 2022/08/01 09:15:08 - mmengine - INFO - Epoch(train) [13][740/940] lr: 6.0000e-02 eta: 12:07:23 time: 0.5706 data_time: 0.0654 memory: 13609 grad_norm: 2.3792 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0729 loss: 2.0729 2022/08/01 09:15:18 - mmengine - INFO - Epoch(train) [13][760/940] lr: 6.0000e-02 eta: 12:07:07 time: 0.4945 data_time: 0.0407 memory: 13609 grad_norm: 2.4257 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.2233 loss: 2.2233 2022/08/01 09:15:30 - mmengine - INFO - Epoch(train) [13][780/940] lr: 6.0000e-02 eta: 12:07:01 time: 0.5635 data_time: 0.0289 memory: 13609 grad_norm: 2.3960 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1339 loss: 2.1339 2022/08/01 09:15:39 - mmengine - INFO - Epoch(train) [13][800/940] lr: 6.0000e-02 eta: 12:06:44 time: 0.4841 data_time: 0.0358 memory: 13609 grad_norm: 2.3940 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.2618 loss: 2.2618 2022/08/01 09:15:50 - mmengine - INFO - Epoch(train) [13][820/940] lr: 6.0000e-02 eta: 12:06:33 time: 0.5347 data_time: 0.0401 memory: 13609 grad_norm: 2.4109 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1103 loss: 2.1103 2022/08/01 09:16:00 - mmengine - INFO - Epoch(train) [13][840/940] lr: 6.0000e-02 eta: 12:06:20 time: 0.5101 data_time: 0.0378 memory: 13609 grad_norm: 2.4541 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/08/01 09:16:12 - mmengine - INFO - Epoch(train) [13][860/940] lr: 6.0000e-02 eta: 12:06:15 time: 0.5777 data_time: 0.0366 memory: 13609 grad_norm: 2.3667 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1527 loss: 2.1527 2022/08/01 09:16:22 - mmengine - INFO - Epoch(train) [13][880/940] lr: 6.0000e-02 eta: 12:06:00 time: 0.4975 data_time: 0.0374 memory: 13609 grad_norm: 2.3457 top1_acc: 0.4062 top5_acc: 0.5625 loss_cls: 2.1416 loss: 2.1416 2022/08/01 09:16:33 - mmengine - INFO - Epoch(train) [13][900/940] lr: 6.0000e-02 eta: 12:05:51 time: 0.5428 data_time: 0.1001 memory: 13609 grad_norm: 2.3916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2283 loss: 2.2283 2022/08/01 09:16:43 - mmengine - INFO - Epoch(train) [13][920/940] lr: 6.0000e-02 eta: 12:05:42 time: 0.5463 data_time: 0.1057 memory: 13609 grad_norm: 2.3889 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2696 loss: 2.2696 2022/08/01 09:16:52 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:16:52 - mmengine - INFO - Epoch(train) [13][940/940] lr: 6.0000e-02 eta: 12:05:16 time: 0.4186 data_time: 0.1196 memory: 13609 grad_norm: 2.4573 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.0073 loss: 2.0073 2022/08/01 09:18:37 - mmengine - INFO - Epoch(val) [13][20/78] eta: 0:05:05 time: 5.2697 data_time: 4.4886 memory: 19674 2022/08/01 09:19:49 - mmengine - INFO - Epoch(val) [13][40/78] eta: 0:02:16 time: 3.6017 data_time: 2.8398 memory: 19674 2022/08/01 09:21:25 - mmengine - INFO - Epoch(val) [13][60/78] eta: 0:01:26 time: 4.8063 data_time: 4.0531 memory: 19674 2022/08/01 09:22:39 - mmengine - INFO - Epoch(val) [13][78/78] acc/top1: 0.5989 acc/top5: 0.8279 acc/mean1: 0.5987 2022/08/01 09:22:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_13.pth is removed 2022/08/01 09:22:40 - mmengine - INFO - The best checkpoint with 0.5989 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/08/01 09:22:54 - mmengine - INFO - Epoch(train) [14][20/940] lr: 6.0000e-02 eta: 12:05:26 time: 0.6889 data_time: 0.4106 memory: 19674 grad_norm: 2.3679 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0583 loss: 2.0583 2022/08/01 09:23:04 - mmengine - INFO - Epoch(train) [14][40/940] lr: 6.0000e-02 eta: 12:05:10 time: 0.4867 data_time: 0.2051 memory: 13609 grad_norm: 2.3573 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1291 loss: 2.1291 2022/08/01 09:23:16 - mmengine - INFO - Epoch(train) [14][60/940] lr: 6.0000e-02 eta: 12:05:06 time: 0.5853 data_time: 0.2697 memory: 13609 grad_norm: 2.3924 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.1180 loss: 2.1180 2022/08/01 09:23:27 - mmengine - INFO - Epoch(train) [14][80/940] lr: 6.0000e-02 eta: 12:04:58 time: 0.5515 data_time: 0.2700 memory: 13609 grad_norm: 2.3621 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2063 loss: 2.2063 2022/08/01 09:23:37 - mmengine - INFO - Epoch(train) [14][100/940] lr: 6.0000e-02 eta: 12:04:46 time: 0.5269 data_time: 0.2333 memory: 13609 grad_norm: 2.3449 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0097 loss: 2.0097 2022/08/01 09:23:48 - mmengine - INFO - Epoch(train) [14][120/940] lr: 6.0000e-02 eta: 12:04:37 time: 0.5429 data_time: 0.2274 memory: 13609 grad_norm: 2.3643 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0515 loss: 2.0515 2022/08/01 09:23:58 - mmengine - INFO - Epoch(train) [14][140/940] lr: 6.0000e-02 eta: 12:04:19 time: 0.4763 data_time: 0.1874 memory: 13609 grad_norm: 2.3592 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1712 loss: 2.1712 2022/08/01 09:24:08 - mmengine - INFO - Epoch(train) [14][160/940] lr: 6.0000e-02 eta: 12:04:05 time: 0.5064 data_time: 0.1761 memory: 13609 grad_norm: 2.3911 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.2156 loss: 2.2156 2022/08/01 09:24:19 - mmengine - INFO - Epoch(train) [14][180/940] lr: 6.0000e-02 eta: 12:03:56 time: 0.5441 data_time: 0.2329 memory: 13609 grad_norm: 2.3358 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0593 loss: 2.0593 2022/08/01 09:24:29 - mmengine - INFO - Epoch(train) [14][200/940] lr: 6.0000e-02 eta: 12:03:41 time: 0.5002 data_time: 0.1786 memory: 13609 grad_norm: 2.3308 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.9950 loss: 1.9950 2022/08/01 09:24:40 - mmengine - INFO - Epoch(train) [14][220/940] lr: 6.0000e-02 eta: 12:03:37 time: 0.5839 data_time: 0.2028 memory: 13609 grad_norm: 2.4249 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.0298 loss: 2.0298 2022/08/01 09:24:51 - mmengine - INFO - Epoch(train) [14][240/940] lr: 6.0000e-02 eta: 12:03:25 time: 0.5209 data_time: 0.0853 memory: 13609 grad_norm: 2.3598 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1561 loss: 2.1561 2022/08/01 09:25:02 - mmengine - INFO - Epoch(train) [14][260/940] lr: 6.0000e-02 eta: 12:03:17 time: 0.5481 data_time: 0.0394 memory: 13609 grad_norm: 2.3266 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0075 loss: 2.0075 2022/08/01 09:25:11 - mmengine - INFO - Epoch(train) [14][280/940] lr: 6.0000e-02 eta: 12:03:00 time: 0.4866 data_time: 0.0631 memory: 13609 grad_norm: 2.3283 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.0640 loss: 2.0640 2022/08/01 09:25:22 - mmengine - INFO - Epoch(train) [14][300/940] lr: 6.0000e-02 eta: 12:02:52 time: 0.5512 data_time: 0.1631 memory: 13609 grad_norm: 2.3199 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.9396 loss: 1.9396 2022/08/01 09:25:33 - mmengine - INFO - Epoch(train) [14][320/940] lr: 6.0000e-02 eta: 12:02:37 time: 0.5025 data_time: 0.1324 memory: 13609 grad_norm: 2.3630 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9978 loss: 1.9978 2022/08/01 09:25:44 - mmengine - INFO - Epoch(train) [14][340/940] lr: 6.0000e-02 eta: 12:02:32 time: 0.5767 data_time: 0.1877 memory: 13609 grad_norm: 2.3645 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1259 loss: 2.1259 2022/08/01 09:25:54 - mmengine - INFO - Epoch(train) [14][360/940] lr: 6.0000e-02 eta: 12:02:14 time: 0.4724 data_time: 0.1484 memory: 13609 grad_norm: 2.4015 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/08/01 09:26:06 - mmengine - INFO - Epoch(train) [14][380/940] lr: 6.0000e-02 eta: 12:02:16 time: 0.6273 data_time: 0.2087 memory: 13609 grad_norm: 2.3367 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1641 loss: 2.1641 2022/08/01 09:26:15 - mmengine - INFO - Epoch(train) [14][400/940] lr: 6.0000e-02 eta: 12:01:55 time: 0.4557 data_time: 0.1115 memory: 13609 grad_norm: 2.4207 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.3715 loss: 2.3715 2022/08/01 09:26:27 - mmengine - INFO - Epoch(train) [14][420/940] lr: 6.0000e-02 eta: 12:01:52 time: 0.5905 data_time: 0.2423 memory: 13609 grad_norm: 2.3918 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1712 loss: 2.1712 2022/08/01 09:26:36 - mmengine - INFO - Epoch(train) [14][440/940] lr: 6.0000e-02 eta: 12:01:32 time: 0.4612 data_time: 0.1130 memory: 13609 grad_norm: 2.3071 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2577 loss: 2.2577 2022/08/01 09:26:48 - mmengine - INFO - Epoch(train) [14][460/940] lr: 6.0000e-02 eta: 12:01:28 time: 0.5853 data_time: 0.1464 memory: 13609 grad_norm: 2.3548 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2751 loss: 2.2751 2022/08/01 09:26:57 - mmengine - INFO - Epoch(train) [14][480/940] lr: 6.0000e-02 eta: 12:01:11 time: 0.4771 data_time: 0.0910 memory: 13609 grad_norm: 2.3821 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1572 loss: 2.1572 2022/08/01 09:27:08 - mmengine - INFO - Epoch(train) [14][500/940] lr: 6.0000e-02 eta: 12:01:02 time: 0.5460 data_time: 0.0906 memory: 13609 grad_norm: 2.3949 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0501 loss: 2.0501 2022/08/01 09:27:17 - mmengine - INFO - Epoch(train) [14][520/940] lr: 6.0000e-02 eta: 12:00:40 time: 0.4441 data_time: 0.0355 memory: 13609 grad_norm: 2.3639 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1850 loss: 2.1850 2022/08/01 09:27:29 - mmengine - INFO - Epoch(train) [14][540/940] lr: 6.0000e-02 eta: 12:00:38 time: 0.6002 data_time: 0.0491 memory: 13609 grad_norm: 2.3910 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.1890 loss: 2.1890 2022/08/01 09:27:40 - mmengine - INFO - Epoch(train) [14][560/940] lr: 6.0000e-02 eta: 12:00:30 time: 0.5523 data_time: 0.0387 memory: 13609 grad_norm: 2.3673 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0770 loss: 2.0770 2022/08/01 09:27:50 - mmengine - INFO - Epoch(train) [14][580/940] lr: 6.0000e-02 eta: 12:00:15 time: 0.5022 data_time: 0.0292 memory: 13609 grad_norm: 2.3983 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1774 loss: 2.1774 2022/08/01 09:28:00 - mmengine - INFO - Epoch(train) [14][600/940] lr: 6.0000e-02 eta: 11:59:57 time: 0.4707 data_time: 0.0367 memory: 13609 grad_norm: 2.3846 top1_acc: 0.3750 top5_acc: 0.5312 loss_cls: 2.2814 loss: 2.2814 2022/08/01 09:28:11 - mmengine - INFO - Epoch(train) [14][620/940] lr: 6.0000e-02 eta: 11:59:49 time: 0.5551 data_time: 0.0324 memory: 13609 grad_norm: 2.3364 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.3214 loss: 2.3214 2022/08/01 09:28:22 - mmengine - INFO - Epoch(train) [14][640/940] lr: 6.0000e-02 eta: 11:59:40 time: 0.5419 data_time: 0.0367 memory: 13609 grad_norm: 2.3909 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1721 loss: 2.1721 2022/08/01 09:28:33 - mmengine - INFO - Epoch(train) [14][660/940] lr: 6.0000e-02 eta: 11:59:33 time: 0.5657 data_time: 0.0406 memory: 13609 grad_norm: 2.3895 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3091 loss: 2.3091 2022/08/01 09:28:43 - mmengine - INFO - Epoch(train) [14][680/940] lr: 6.0000e-02 eta: 11:59:18 time: 0.4919 data_time: 0.0375 memory: 13609 grad_norm: 2.4122 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0719 loss: 2.0719 2022/08/01 09:28:54 - mmengine - INFO - Epoch(train) [14][700/940] lr: 6.0000e-02 eta: 11:59:13 time: 0.5777 data_time: 0.0343 memory: 13609 grad_norm: 2.4405 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.1608 loss: 2.1608 2022/08/01 09:29:04 - mmengine - INFO - Epoch(train) [14][720/940] lr: 6.0000e-02 eta: 11:58:54 time: 0.4684 data_time: 0.0422 memory: 13609 grad_norm: 2.3770 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0976 loss: 2.0976 2022/08/01 09:29:14 - mmengine - INFO - Epoch(train) [14][740/940] lr: 6.0000e-02 eta: 11:58:43 time: 0.5278 data_time: 0.0284 memory: 13609 grad_norm: 2.3297 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9858 loss: 1.9858 2022/08/01 09:29:24 - mmengine - INFO - Epoch(train) [14][760/940] lr: 6.0000e-02 eta: 11:58:23 time: 0.4596 data_time: 0.0365 memory: 13609 grad_norm: 2.3716 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2089 loss: 2.2089 2022/08/01 09:29:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:29:35 - mmengine - INFO - Epoch(train) [14][780/940] lr: 6.0000e-02 eta: 11:58:16 time: 0.5603 data_time: 0.0293 memory: 13609 grad_norm: 2.3920 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0423 loss: 2.0423 2022/08/01 09:29:45 - mmengine - INFO - Epoch(train) [14][800/940] lr: 6.0000e-02 eta: 11:58:03 time: 0.5152 data_time: 0.0430 memory: 13609 grad_norm: 2.4028 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2316 loss: 2.2316 2022/08/01 09:29:56 - mmengine - INFO - Epoch(train) [14][820/940] lr: 6.0000e-02 eta: 11:57:52 time: 0.5297 data_time: 0.0303 memory: 13609 grad_norm: 2.3560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2525 loss: 2.2525 2022/08/01 09:30:06 - mmengine - INFO - Epoch(train) [14][840/940] lr: 6.0000e-02 eta: 11:57:41 time: 0.5304 data_time: 0.0401 memory: 13609 grad_norm: 2.3225 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1521 loss: 2.1521 2022/08/01 09:30:16 - mmengine - INFO - Epoch(train) [14][860/940] lr: 6.0000e-02 eta: 11:57:27 time: 0.5046 data_time: 0.0287 memory: 13609 grad_norm: 2.3676 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9807 loss: 1.9807 2022/08/01 09:30:26 - mmengine - INFO - Epoch(train) [14][880/940] lr: 6.0000e-02 eta: 11:57:12 time: 0.4945 data_time: 0.0497 memory: 13609 grad_norm: 2.3913 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1422 loss: 2.1422 2022/08/01 09:30:37 - mmengine - INFO - Epoch(train) [14][900/940] lr: 6.0000e-02 eta: 11:57:05 time: 0.5576 data_time: 0.0288 memory: 13609 grad_norm: 2.3894 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1454 loss: 2.1454 2022/08/01 09:30:47 - mmengine - INFO - Epoch(train) [14][920/940] lr: 6.0000e-02 eta: 11:56:49 time: 0.4909 data_time: 0.0444 memory: 13609 grad_norm: 2.3537 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.1725 loss: 2.1725 2022/08/01 09:30:57 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:30:57 - mmengine - INFO - Epoch(train) [14][940/940] lr: 6.0000e-02 eta: 11:56:35 time: 0.5077 data_time: 0.0239 memory: 13609 grad_norm: 2.4689 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1497 loss: 2.1497 2022/08/01 09:32:43 - mmengine - INFO - Epoch(val) [14][20/78] eta: 0:05:07 time: 5.3013 data_time: 4.5306 memory: 19674 2022/08/01 09:33:57 - mmengine - INFO - Epoch(val) [14][40/78] eta: 0:02:18 time: 3.6576 data_time: 2.8899 memory: 19674 2022/08/01 09:35:32 - mmengine - INFO - Epoch(val) [14][60/78] eta: 0:01:26 time: 4.7923 data_time: 4.0280 memory: 19674 2022/08/01 09:36:44 - mmengine - INFO - Epoch(val) [14][78/78] acc/top1: 0.5879 acc/top5: 0.8229 acc/mean1: 0.5879 2022/08/01 09:36:58 - mmengine - INFO - Epoch(train) [15][20/940] lr: 6.0000e-02 eta: 11:56:47 time: 0.7140 data_time: 0.3041 memory: 19674 grad_norm: 2.3660 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.0287 loss: 2.0287 2022/08/01 09:37:08 - mmengine - INFO - Epoch(train) [15][40/940] lr: 6.0000e-02 eta: 11:56:30 time: 0.4820 data_time: 0.0888 memory: 13609 grad_norm: 2.3324 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1227 loss: 2.1227 2022/08/01 09:37:20 - mmengine - INFO - Epoch(train) [15][60/940] lr: 6.0000e-02 eta: 11:56:28 time: 0.5960 data_time: 0.0683 memory: 13609 grad_norm: 2.3730 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.2732 loss: 2.2732 2022/08/01 09:37:30 - mmengine - INFO - Epoch(train) [15][80/940] lr: 6.0000e-02 eta: 11:56:13 time: 0.5021 data_time: 0.0290 memory: 13609 grad_norm: 2.3281 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0215 loss: 2.0215 2022/08/01 09:37:42 - mmengine - INFO - Epoch(train) [15][100/940] lr: 6.0000e-02 eta: 11:56:12 time: 0.6074 data_time: 0.0355 memory: 13609 grad_norm: 2.3505 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1255 loss: 2.1255 2022/08/01 09:37:52 - mmengine - INFO - Epoch(train) [15][120/940] lr: 6.0000e-02 eta: 11:55:54 time: 0.4762 data_time: 0.0364 memory: 13609 grad_norm: 2.4068 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1029 loss: 2.1029 2022/08/01 09:38:03 - mmengine - INFO - Epoch(train) [15][140/940] lr: 6.0000e-02 eta: 11:55:48 time: 0.5676 data_time: 0.0359 memory: 13609 grad_norm: 2.3507 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3258 loss: 2.3258 2022/08/01 09:38:13 - mmengine - INFO - Epoch(train) [15][160/940] lr: 6.0000e-02 eta: 11:55:31 time: 0.4784 data_time: 0.0367 memory: 13609 grad_norm: 2.3847 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2707 loss: 2.2707 2022/08/01 09:38:24 - mmengine - INFO - Epoch(train) [15][180/940] lr: 6.0000e-02 eta: 11:55:27 time: 0.5887 data_time: 0.0491 memory: 13609 grad_norm: 2.3264 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0873 loss: 2.0873 2022/08/01 09:38:34 - mmengine - INFO - Epoch(train) [15][200/940] lr: 6.0000e-02 eta: 11:55:08 time: 0.4610 data_time: 0.0352 memory: 13609 grad_norm: 2.3859 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1911 loss: 2.1911 2022/08/01 09:38:45 - mmengine - INFO - Epoch(train) [15][220/940] lr: 6.0000e-02 eta: 11:55:04 time: 0.5878 data_time: 0.0323 memory: 13609 grad_norm: 2.4224 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1373 loss: 2.1373 2022/08/01 09:38:55 - mmengine - INFO - Epoch(train) [15][240/940] lr: 6.0000e-02 eta: 11:54:45 time: 0.4660 data_time: 0.0444 memory: 13609 grad_norm: 2.3793 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0719 loss: 2.0719 2022/08/01 09:39:06 - mmengine - INFO - Epoch(train) [15][260/940] lr: 6.0000e-02 eta: 11:54:39 time: 0.5674 data_time: 0.0331 memory: 13609 grad_norm: 2.3816 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0064 loss: 2.0064 2022/08/01 09:39:16 - mmengine - INFO - Epoch(train) [15][280/940] lr: 6.0000e-02 eta: 11:54:22 time: 0.4837 data_time: 0.0352 memory: 13609 grad_norm: 2.3561 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0377 loss: 2.0377 2022/08/01 09:39:27 - mmengine - INFO - Epoch(train) [15][300/940] lr: 6.0000e-02 eta: 11:54:17 time: 0.5749 data_time: 0.0302 memory: 13609 grad_norm: 2.4101 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0117 loss: 2.0117 2022/08/01 09:39:36 - mmengine - INFO - Epoch(train) [15][320/940] lr: 6.0000e-02 eta: 11:53:58 time: 0.4596 data_time: 0.0401 memory: 13609 grad_norm: 2.3912 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.3514 loss: 2.3514 2022/08/01 09:39:48 - mmengine - INFO - Epoch(train) [15][340/940] lr: 6.0000e-02 eta: 11:53:53 time: 0.5809 data_time: 0.0363 memory: 13609 grad_norm: 2.4370 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.3013 loss: 2.3013 2022/08/01 09:39:58 - mmengine - INFO - Epoch(train) [15][360/940] lr: 6.0000e-02 eta: 11:53:39 time: 0.5102 data_time: 0.0430 memory: 13609 grad_norm: 2.3946 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 2.1352 loss: 2.1352 2022/08/01 09:40:08 - mmengine - INFO - Epoch(train) [15][380/940] lr: 6.0000e-02 eta: 11:53:26 time: 0.5069 data_time: 0.0427 memory: 13609 grad_norm: 2.3841 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1772 loss: 2.1772 2022/08/01 09:40:18 - mmengine - INFO - Epoch(train) [15][400/940] lr: 6.0000e-02 eta: 11:53:08 time: 0.4679 data_time: 0.0469 memory: 13609 grad_norm: 2.4056 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.2220 loss: 2.2220 2022/08/01 09:40:29 - mmengine - INFO - Epoch(train) [15][420/940] lr: 6.0000e-02 eta: 11:53:00 time: 0.5540 data_time: 0.0361 memory: 13609 grad_norm: 2.3913 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.0688 loss: 2.0688 2022/08/01 09:40:40 - mmengine - INFO - Epoch(train) [15][440/940] lr: 6.0000e-02 eta: 11:52:51 time: 0.5492 data_time: 0.0887 memory: 13609 grad_norm: 2.3909 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1001 loss: 2.1001 2022/08/01 09:40:50 - mmengine - INFO - Epoch(train) [15][460/940] lr: 6.0000e-02 eta: 11:52:37 time: 0.5024 data_time: 0.1446 memory: 13609 grad_norm: 2.3406 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0225 loss: 2.0225 2022/08/01 09:41:02 - mmengine - INFO - Epoch(train) [15][480/940] lr: 6.0000e-02 eta: 11:52:35 time: 0.6077 data_time: 0.2858 memory: 13609 grad_norm: 2.3925 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2255 loss: 2.2255 2022/08/01 09:41:11 - mmengine - INFO - Epoch(train) [15][500/940] lr: 6.0000e-02 eta: 11:52:17 time: 0.4725 data_time: 0.1683 memory: 13609 grad_norm: 2.4058 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1129 loss: 2.1129 2022/08/01 09:41:23 - mmengine - INFO - Epoch(train) [15][520/940] lr: 6.0000e-02 eta: 11:52:13 time: 0.5848 data_time: 0.2393 memory: 13609 grad_norm: 2.4114 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.2822 loss: 2.2822 2022/08/01 09:41:32 - mmengine - INFO - Epoch(train) [15][540/940] lr: 6.0000e-02 eta: 11:51:53 time: 0.4487 data_time: 0.1405 memory: 13609 grad_norm: 2.3961 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0862 loss: 2.0862 2022/08/01 09:41:44 - mmengine - INFO - Epoch(train) [15][560/940] lr: 6.0000e-02 eta: 11:51:52 time: 0.6168 data_time: 0.3127 memory: 13609 grad_norm: 2.4057 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0817 loss: 2.0817 2022/08/01 09:41:54 - mmengine - INFO - Epoch(train) [15][580/940] lr: 6.0000e-02 eta: 11:51:37 time: 0.4964 data_time: 0.1999 memory: 13609 grad_norm: 2.3132 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0412 loss: 2.0412 2022/08/01 09:42:05 - mmengine - INFO - Epoch(train) [15][600/940] lr: 6.0000e-02 eta: 11:51:28 time: 0.5477 data_time: 0.2522 memory: 13609 grad_norm: 2.3995 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1447 loss: 2.1447 2022/08/01 09:42:14 - mmengine - INFO - Epoch(train) [15][620/940] lr: 6.0000e-02 eta: 11:51:08 time: 0.4470 data_time: 0.1462 memory: 13609 grad_norm: 2.3677 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.1383 loss: 2.1383 2022/08/01 09:42:26 - mmengine - INFO - Epoch(train) [15][640/940] lr: 6.0000e-02 eta: 11:51:02 time: 0.5712 data_time: 0.2519 memory: 13609 grad_norm: 2.3626 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1861 loss: 2.1861 2022/08/01 09:42:36 - mmengine - INFO - Epoch(train) [15][660/940] lr: 6.0000e-02 eta: 11:50:48 time: 0.5064 data_time: 0.2056 memory: 13609 grad_norm: 2.4243 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1420 loss: 2.1420 2022/08/01 09:42:47 - mmengine - INFO - Epoch(train) [15][680/940] lr: 6.0000e-02 eta: 11:50:41 time: 0.5648 data_time: 0.2542 memory: 13609 grad_norm: 2.3417 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2082 loss: 2.2082 2022/08/01 09:42:57 - mmengine - INFO - Epoch(train) [15][700/940] lr: 6.0000e-02 eta: 11:50:27 time: 0.5049 data_time: 0.1961 memory: 13609 grad_norm: 2.3461 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.0937 loss: 2.0937 2022/08/01 09:43:09 - mmengine - INFO - Epoch(train) [15][720/940] lr: 6.0000e-02 eta: 11:50:25 time: 0.5993 data_time: 0.2772 memory: 13609 grad_norm: 2.3801 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0748 loss: 2.0748 2022/08/01 09:43:18 - mmengine - INFO - Epoch(train) [15][740/940] lr: 6.0000e-02 eta: 11:50:05 time: 0.4512 data_time: 0.1492 memory: 13609 grad_norm: 2.3241 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1307 loss: 2.1307 2022/08/01 09:43:29 - mmengine - INFO - Epoch(train) [15][760/940] lr: 6.0000e-02 eta: 11:49:56 time: 0.5497 data_time: 0.2469 memory: 13609 grad_norm: 2.2894 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1379 loss: 2.1379 2022/08/01 09:43:38 - mmengine - INFO - Epoch(train) [15][780/940] lr: 6.0000e-02 eta: 11:49:36 time: 0.4514 data_time: 0.1389 memory: 13609 grad_norm: 2.3794 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1886 loss: 2.1886 2022/08/01 09:43:49 - mmengine - INFO - Epoch(train) [15][800/940] lr: 6.0000e-02 eta: 11:49:26 time: 0.5329 data_time: 0.1612 memory: 13609 grad_norm: 2.4304 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0821 loss: 2.0821 2022/08/01 09:44:00 - mmengine - INFO - Epoch(train) [15][820/940] lr: 6.0000e-02 eta: 11:49:20 time: 0.5753 data_time: 0.1788 memory: 13609 grad_norm: 2.3453 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0258 loss: 2.0258 2022/08/01 09:44:10 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:44:10 - mmengine - INFO - Epoch(train) [15][840/940] lr: 6.0000e-02 eta: 11:49:05 time: 0.4966 data_time: 0.0785 memory: 13609 grad_norm: 2.3712 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1380 loss: 2.1380 2022/08/01 09:44:21 - mmengine - INFO - Epoch(train) [15][860/940] lr: 6.0000e-02 eta: 11:48:56 time: 0.5472 data_time: 0.0833 memory: 13609 grad_norm: 2.3581 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2303 loss: 2.2303 2022/08/01 09:44:31 - mmengine - INFO - Epoch(train) [15][880/940] lr: 6.0000e-02 eta: 11:48:39 time: 0.4745 data_time: 0.0466 memory: 13609 grad_norm: 2.3641 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2017 loss: 2.2017 2022/08/01 09:44:41 - mmengine - INFO - Epoch(train) [15][900/940] lr: 6.0000e-02 eta: 11:48:28 time: 0.5252 data_time: 0.0544 memory: 13609 grad_norm: 2.3199 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1578 loss: 2.1578 2022/08/01 09:44:52 - mmengine - INFO - Epoch(train) [15][920/940] lr: 6.0000e-02 eta: 11:48:17 time: 0.5313 data_time: 0.0349 memory: 13609 grad_norm: 2.3923 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.1140 loss: 2.1140 2022/08/01 09:45:01 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:45:01 - mmengine - INFO - Epoch(train) [15][940/940] lr: 6.0000e-02 eta: 11:47:57 time: 0.4488 data_time: 0.0997 memory: 13609 grad_norm: 2.4726 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9801 loss: 1.9801 2022/08/01 09:45:01 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/01 09:46:48 - mmengine - INFO - Epoch(val) [15][20/78] eta: 0:05:06 time: 5.2815 data_time: 4.5142 memory: 19674 2022/08/01 09:48:00 - mmengine - INFO - Epoch(val) [15][40/78] eta: 0:02:17 time: 3.6157 data_time: 2.8633 memory: 19674 2022/08/01 09:49:36 - mmengine - INFO - Epoch(val) [15][60/78] eta: 0:01:26 time: 4.8043 data_time: 4.0411 memory: 19674 2022/08/01 09:50:48 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.5887 acc/top5: 0.8242 acc/mean1: 0.5887 2022/08/01 09:51:02 - mmengine - INFO - Epoch(train) [16][20/940] lr: 6.0000e-02 eta: 11:48:08 time: 0.7219 data_time: 0.2576 memory: 19674 grad_norm: 2.3668 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2408 loss: 2.2408 2022/08/01 09:51:12 - mmengine - INFO - Epoch(train) [16][40/940] lr: 6.0000e-02 eta: 11:47:49 time: 0.4610 data_time: 0.0315 memory: 13609 grad_norm: 2.3374 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9103 loss: 1.9103 2022/08/01 09:51:23 - mmengine - INFO - Epoch(train) [16][60/940] lr: 6.0000e-02 eta: 11:47:43 time: 0.5651 data_time: 0.0339 memory: 13609 grad_norm: 2.3720 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0264 loss: 2.0264 2022/08/01 09:51:34 - mmengine - INFO - Epoch(train) [16][80/940] lr: 6.0000e-02 eta: 11:47:33 time: 0.5377 data_time: 0.0344 memory: 13609 grad_norm: 2.3824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0958 loss: 2.0958 2022/08/01 09:51:45 - mmengine - INFO - Epoch(train) [16][100/940] lr: 6.0000e-02 eta: 11:47:26 time: 0.5662 data_time: 0.0392 memory: 13609 grad_norm: 2.3532 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.0541 loss: 2.0541 2022/08/01 09:51:54 - mmengine - INFO - Epoch(train) [16][120/940] lr: 6.0000e-02 eta: 11:47:05 time: 0.4456 data_time: 0.0373 memory: 13609 grad_norm: 2.3416 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 2.1166 loss: 2.1166 2022/08/01 09:52:06 - mmengine - INFO - Epoch(train) [16][140/940] lr: 6.0000e-02 eta: 11:47:05 time: 0.6252 data_time: 0.1731 memory: 13609 grad_norm: 2.3703 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.2034 loss: 2.2034 2022/08/01 09:52:16 - mmengine - INFO - Epoch(train) [16][160/940] lr: 6.0000e-02 eta: 11:46:46 time: 0.4555 data_time: 0.0306 memory: 13609 grad_norm: 2.3569 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0616 loss: 2.0616 2022/08/01 09:52:27 - mmengine - INFO - Epoch(train) [16][180/940] lr: 6.0000e-02 eta: 11:46:42 time: 0.5904 data_time: 0.0404 memory: 13609 grad_norm: 2.3532 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1349 loss: 2.1349 2022/08/01 09:52:37 - mmengine - INFO - Epoch(train) [16][200/940] lr: 6.0000e-02 eta: 11:46:24 time: 0.4668 data_time: 0.0348 memory: 13609 grad_norm: 2.3534 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.2520 loss: 2.2520 2022/08/01 09:52:49 - mmengine - INFO - Epoch(train) [16][220/940] lr: 6.0000e-02 eta: 11:46:22 time: 0.6065 data_time: 0.0393 memory: 13609 grad_norm: 2.3870 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0719 loss: 2.0719 2022/08/01 09:52:58 - mmengine - INFO - Epoch(train) [16][240/940] lr: 6.0000e-02 eta: 11:46:05 time: 0.4792 data_time: 0.0298 memory: 13609 grad_norm: 2.3767 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0887 loss: 2.0887 2022/08/01 09:53:10 - mmengine - INFO - Epoch(train) [16][260/940] lr: 6.0000e-02 eta: 11:46:01 time: 0.5883 data_time: 0.0355 memory: 13609 grad_norm: 2.3607 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2320 loss: 2.2320 2022/08/01 09:53:20 - mmengine - INFO - Epoch(train) [16][280/940] lr: 6.0000e-02 eta: 11:45:43 time: 0.4685 data_time: 0.0373 memory: 13609 grad_norm: 2.4020 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1712 loss: 2.1712 2022/08/01 09:53:31 - mmengine - INFO - Epoch(train) [16][300/940] lr: 6.0000e-02 eta: 11:45:35 time: 0.5531 data_time: 0.0379 memory: 13609 grad_norm: 2.3952 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.2043 loss: 2.2043 2022/08/01 09:53:41 - mmengine - INFO - Epoch(train) [16][320/940] lr: 6.0000e-02 eta: 11:45:22 time: 0.5094 data_time: 0.0431 memory: 13609 grad_norm: 2.3671 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1716 loss: 2.1716 2022/08/01 09:53:51 - mmengine - INFO - Epoch(train) [16][340/940] lr: 6.0000e-02 eta: 11:45:10 time: 0.5181 data_time: 0.0411 memory: 13609 grad_norm: 2.3603 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 2.1023 loss: 2.1023 2022/08/01 09:54:02 - mmengine - INFO - Epoch(train) [16][360/940] lr: 6.0000e-02 eta: 11:45:00 time: 0.5426 data_time: 0.0329 memory: 13609 grad_norm: 2.3712 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.9053 loss: 1.9053 2022/08/01 09:54:12 - mmengine - INFO - Epoch(train) [16][380/940] lr: 6.0000e-02 eta: 11:44:47 time: 0.5063 data_time: 0.0388 memory: 13609 grad_norm: 2.3492 top1_acc: 0.2812 top5_acc: 0.6562 loss_cls: 2.1555 loss: 2.1555 2022/08/01 09:54:21 - mmengine - INFO - Epoch(train) [16][400/940] lr: 6.0000e-02 eta: 11:44:29 time: 0.4650 data_time: 0.0353 memory: 13609 grad_norm: 2.3884 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.1227 loss: 2.1227 2022/08/01 09:54:32 - mmengine - INFO - Epoch(train) [16][420/940] lr: 6.0000e-02 eta: 11:44:18 time: 0.5330 data_time: 0.0396 memory: 13609 grad_norm: 2.3767 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1790 loss: 2.1790 2022/08/01 09:54:43 - mmengine - INFO - Epoch(train) [16][440/940] lr: 6.0000e-02 eta: 11:44:11 time: 0.5596 data_time: 0.0336 memory: 13609 grad_norm: 2.4205 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0785 loss: 2.0785 2022/08/01 09:54:54 - mmengine - INFO - Epoch(train) [16][460/940] lr: 6.0000e-02 eta: 11:43:58 time: 0.5119 data_time: 0.0417 memory: 13609 grad_norm: 2.3491 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0706 loss: 2.0706 2022/08/01 09:55:04 - mmengine - INFO - Epoch(train) [16][480/940] lr: 6.0000e-02 eta: 11:43:46 time: 0.5222 data_time: 0.0371 memory: 13609 grad_norm: 2.4483 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1273 loss: 2.1273 2022/08/01 09:55:14 - mmengine - INFO - Epoch(train) [16][500/940] lr: 6.0000e-02 eta: 11:43:34 time: 0.5190 data_time: 0.0358 memory: 13609 grad_norm: 2.3905 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2368 loss: 2.2368 2022/08/01 09:55:25 - mmengine - INFO - Epoch(train) [16][520/940] lr: 6.0000e-02 eta: 11:43:21 time: 0.5080 data_time: 0.0441 memory: 13609 grad_norm: 2.4121 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1457 loss: 2.1457 2022/08/01 09:55:36 - mmengine - INFO - Epoch(train) [16][540/940] lr: 6.0000e-02 eta: 11:43:15 time: 0.5771 data_time: 0.0369 memory: 13609 grad_norm: 2.3592 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0651 loss: 2.0651 2022/08/01 09:55:46 - mmengine - INFO - Epoch(train) [16][560/940] lr: 6.0000e-02 eta: 11:43:03 time: 0.5120 data_time: 0.0327 memory: 13609 grad_norm: 2.3758 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 2.2633 loss: 2.2633 2022/08/01 09:55:57 - mmengine - INFO - Epoch(train) [16][580/940] lr: 6.0000e-02 eta: 11:42:55 time: 0.5562 data_time: 0.0372 memory: 13609 grad_norm: 2.3454 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0940 loss: 2.0940 2022/08/01 09:56:08 - mmengine - INFO - Epoch(train) [16][600/940] lr: 6.0000e-02 eta: 11:42:41 time: 0.5000 data_time: 0.0413 memory: 13609 grad_norm: 2.4452 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.2374 loss: 2.2374 2022/08/01 09:56:19 - mmengine - INFO - Epoch(train) [16][620/940] lr: 6.0000e-02 eta: 11:42:33 time: 0.5548 data_time: 0.0466 memory: 13609 grad_norm: 2.3910 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.0902 loss: 2.0902 2022/08/01 09:56:29 - mmengine - INFO - Epoch(train) [16][640/940] lr: 6.0000e-02 eta: 11:42:20 time: 0.5140 data_time: 0.0357 memory: 13609 grad_norm: 2.3977 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1009 loss: 2.1009 2022/08/01 09:56:40 - mmengine - INFO - Epoch(train) [16][660/940] lr: 6.0000e-02 eta: 11:42:12 time: 0.5531 data_time: 0.0359 memory: 13609 grad_norm: 2.3699 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.1546 loss: 2.1546 2022/08/01 09:56:49 - mmengine - INFO - Epoch(train) [16][680/940] lr: 6.0000e-02 eta: 11:41:53 time: 0.4526 data_time: 0.0399 memory: 13609 grad_norm: 2.3917 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.0909 loss: 2.0909 2022/08/01 09:56:59 - mmengine - INFO - Epoch(train) [16][700/940] lr: 6.0000e-02 eta: 11:41:41 time: 0.5202 data_time: 0.0369 memory: 13609 grad_norm: 2.3446 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.1865 loss: 2.1865 2022/08/01 09:57:10 - mmengine - INFO - Epoch(train) [16][720/940] lr: 6.0000e-02 eta: 11:41:31 time: 0.5375 data_time: 0.0342 memory: 13609 grad_norm: 2.3976 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0125 loss: 2.0125 2022/08/01 09:57:20 - mmengine - INFO - Epoch(train) [16][740/940] lr: 6.0000e-02 eta: 11:41:15 time: 0.4852 data_time: 0.0436 memory: 13609 grad_norm: 2.3969 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0905 loss: 2.0905 2022/08/01 09:57:31 - mmengine - INFO - Epoch(train) [16][760/940] lr: 6.0000e-02 eta: 11:41:08 time: 0.5605 data_time: 0.0335 memory: 13609 grad_norm: 2.3551 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1616 loss: 2.1616 2022/08/01 09:57:41 - mmengine - INFO - Epoch(train) [16][780/940] lr: 6.0000e-02 eta: 11:40:51 time: 0.4769 data_time: 0.0418 memory: 13609 grad_norm: 2.4005 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2206 loss: 2.2206 2022/08/01 09:57:52 - mmengine - INFO - Epoch(train) [16][800/940] lr: 6.0000e-02 eta: 11:40:45 time: 0.5697 data_time: 0.0356 memory: 13609 grad_norm: 2.4006 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.0967 loss: 2.0967 2022/08/01 09:58:01 - mmengine - INFO - Epoch(train) [16][820/940] lr: 6.0000e-02 eta: 11:40:27 time: 0.4687 data_time: 0.0683 memory: 13609 grad_norm: 2.3376 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.0693 loss: 2.0693 2022/08/01 09:58:13 - mmengine - INFO - Epoch(train) [16][840/940] lr: 6.0000e-02 eta: 11:40:21 time: 0.5701 data_time: 0.0331 memory: 13609 grad_norm: 2.4226 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1079 loss: 2.1079 2022/08/01 09:58:23 - mmengine - INFO - Epoch(train) [16][860/940] lr: 6.0000e-02 eta: 11:40:07 time: 0.5041 data_time: 0.0352 memory: 13609 grad_norm: 2.3635 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0745 loss: 2.0745 2022/08/01 09:58:34 - mmengine - INFO - Epoch(train) [16][880/940] lr: 6.0000e-02 eta: 11:39:59 time: 0.5586 data_time: 0.0359 memory: 13609 grad_norm: 2.4046 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.2357 loss: 2.2357 2022/08/01 09:58:44 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:58:44 - mmengine - INFO - Epoch(train) [16][900/940] lr: 6.0000e-02 eta: 11:39:44 time: 0.4895 data_time: 0.0322 memory: 13609 grad_norm: 2.4007 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3692 loss: 2.3692 2022/08/01 09:58:55 - mmengine - INFO - Epoch(train) [16][920/940] lr: 6.0000e-02 eta: 11:39:39 time: 0.5785 data_time: 0.0357 memory: 13609 grad_norm: 2.3426 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1809 loss: 2.1809 2022/08/01 09:59:04 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 09:59:04 - mmengine - INFO - Epoch(train) [16][940/940] lr: 6.0000e-02 eta: 11:39:16 time: 0.4175 data_time: 0.0283 memory: 13609 grad_norm: 2.4552 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.9525 loss: 1.9525 2022/08/01 10:00:49 - mmengine - INFO - Epoch(val) [16][20/78] eta: 0:05:04 time: 5.2424 data_time: 4.4645 memory: 19674 2022/08/01 10:02:00 - mmengine - INFO - Epoch(val) [16][40/78] eta: 0:02:16 time: 3.5900 data_time: 2.8296 memory: 19674 2022/08/01 10:03:37 - mmengine - INFO - Epoch(val) [16][60/78] eta: 0:01:27 time: 4.8400 data_time: 4.0847 memory: 19674 2022/08/01 10:04:50 - mmengine - INFO - Epoch(val) [16][78/78] acc/top1: 0.5828 acc/top5: 0.8197 acc/mean1: 0.5826 2022/08/01 10:05:05 - mmengine - INFO - Epoch(train) [17][20/940] lr: 6.0000e-02 eta: 11:39:24 time: 0.7121 data_time: 0.3271 memory: 19674 grad_norm: 2.3300 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 2.0945 loss: 2.0945 2022/08/01 10:05:15 - mmengine - INFO - Epoch(train) [17][40/940] lr: 6.0000e-02 eta: 11:39:11 time: 0.5064 data_time: 0.0524 memory: 13609 grad_norm: 2.3815 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.1915 loss: 2.1915 2022/08/01 10:05:28 - mmengine - INFO - Epoch(train) [17][60/940] lr: 6.0000e-02 eta: 11:39:15 time: 0.6683 data_time: 0.0369 memory: 13609 grad_norm: 2.4216 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.1252 loss: 2.1252 2022/08/01 10:05:36 - mmengine - INFO - Epoch(train) [17][80/940] lr: 6.0000e-02 eta: 11:38:49 time: 0.3826 data_time: 0.0374 memory: 13609 grad_norm: 2.3636 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1721 loss: 2.1721 2022/08/01 10:05:48 - mmengine - INFO - Epoch(train) [17][100/940] lr: 6.0000e-02 eta: 11:38:48 time: 0.6303 data_time: 0.0378 memory: 13609 grad_norm: 2.3617 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9699 loss: 1.9699 2022/08/01 10:05:58 - mmengine - INFO - Epoch(train) [17][120/940] lr: 6.0000e-02 eta: 11:38:34 time: 0.5015 data_time: 0.0472 memory: 13609 grad_norm: 2.4141 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.0297 loss: 2.0297 2022/08/01 10:06:10 - mmengine - INFO - Epoch(train) [17][140/940] lr: 6.0000e-02 eta: 11:38:27 time: 0.5657 data_time: 0.0319 memory: 13609 grad_norm: 2.3883 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0632 loss: 2.0632 2022/08/01 10:06:20 - mmengine - INFO - Epoch(train) [17][160/940] lr: 6.0000e-02 eta: 11:38:14 time: 0.5077 data_time: 0.0411 memory: 13609 grad_norm: 2.3853 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1247 loss: 2.1247 2022/08/01 10:06:31 - mmengine - INFO - Epoch(train) [17][180/940] lr: 6.0000e-02 eta: 11:38:04 time: 0.5386 data_time: 0.0320 memory: 13609 grad_norm: 2.3672 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3020 loss: 2.3020 2022/08/01 10:06:40 - mmengine - INFO - Epoch(train) [17][200/940] lr: 6.0000e-02 eta: 11:37:47 time: 0.4688 data_time: 0.0362 memory: 13609 grad_norm: 2.3374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9992 loss: 1.9992 2022/08/01 10:06:51 - mmengine - INFO - Epoch(train) [17][220/940] lr: 6.0000e-02 eta: 11:37:36 time: 0.5300 data_time: 0.0284 memory: 13609 grad_norm: 2.4494 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0907 loss: 2.0907 2022/08/01 10:07:01 - mmengine - INFO - Epoch(train) [17][240/940] lr: 6.0000e-02 eta: 11:37:24 time: 0.5142 data_time: 0.0535 memory: 13609 grad_norm: 2.4238 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 2.1284 loss: 2.1284 2022/08/01 10:07:12 - mmengine - INFO - Epoch(train) [17][260/940] lr: 6.0000e-02 eta: 11:37:16 time: 0.5620 data_time: 0.0322 memory: 13609 grad_norm: 2.4184 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9467 loss: 1.9467 2022/08/01 10:07:22 - mmengine - INFO - Epoch(train) [17][280/940] lr: 6.0000e-02 eta: 11:37:03 time: 0.5075 data_time: 0.0385 memory: 13609 grad_norm: 2.4222 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.1421 loss: 2.1421 2022/08/01 10:07:33 - mmengine - INFO - Epoch(train) [17][300/940] lr: 6.0000e-02 eta: 11:36:52 time: 0.5204 data_time: 0.0316 memory: 13609 grad_norm: 2.3987 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9628 loss: 1.9628 2022/08/01 10:07:44 - mmengine - INFO - Epoch(train) [17][320/940] lr: 6.0000e-02 eta: 11:36:44 time: 0.5652 data_time: 0.0382 memory: 13609 grad_norm: 2.3900 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.1513 loss: 2.1513 2022/08/01 10:07:54 - mmengine - INFO - Epoch(train) [17][340/940] lr: 6.0000e-02 eta: 11:36:33 time: 0.5220 data_time: 0.0339 memory: 13609 grad_norm: 2.3984 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0924 loss: 2.0924 2022/08/01 10:08:05 - mmengine - INFO - Epoch(train) [17][360/940] lr: 6.0000e-02 eta: 11:36:21 time: 0.5174 data_time: 0.0725 memory: 13609 grad_norm: 2.3951 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0818 loss: 2.0818 2022/08/01 10:08:14 - mmengine - INFO - Epoch(train) [17][380/940] lr: 6.0000e-02 eta: 11:36:05 time: 0.4831 data_time: 0.0437 memory: 13609 grad_norm: 2.3830 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 2.0680 loss: 2.0680 2022/08/01 10:08:25 - mmengine - INFO - Epoch(train) [17][400/940] lr: 6.0000e-02 eta: 11:35:55 time: 0.5390 data_time: 0.0344 memory: 13609 grad_norm: 2.4398 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2597 loss: 2.2597 2022/08/01 10:08:35 - mmengine - INFO - Epoch(train) [17][420/940] lr: 6.0000e-02 eta: 11:35:40 time: 0.4902 data_time: 0.0346 memory: 13609 grad_norm: 2.3983 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0361 loss: 2.0361 2022/08/01 10:08:46 - mmengine - INFO - Epoch(train) [17][440/940] lr: 6.0000e-02 eta: 11:35:29 time: 0.5253 data_time: 0.0495 memory: 13609 grad_norm: 2.4147 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0605 loss: 2.0605 2022/08/01 10:08:56 - mmengine - INFO - Epoch(train) [17][460/940] lr: 6.0000e-02 eta: 11:35:17 time: 0.5116 data_time: 0.1313 memory: 13609 grad_norm: 2.3639 top1_acc: 0.4062 top5_acc: 0.9062 loss_cls: 2.2383 loss: 2.2383 2022/08/01 10:09:07 - mmengine - INFO - Epoch(train) [17][480/940] lr: 6.0000e-02 eta: 11:35:09 time: 0.5619 data_time: 0.2001 memory: 13609 grad_norm: 2.3446 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0807 loss: 2.0807 2022/08/01 10:09:17 - mmengine - INFO - Epoch(train) [17][500/940] lr: 6.0000e-02 eta: 11:34:57 time: 0.5176 data_time: 0.1635 memory: 13609 grad_norm: 2.3677 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.1286 loss: 2.1286 2022/08/01 10:09:29 - mmengine - INFO - Epoch(train) [17][520/940] lr: 6.0000e-02 eta: 11:34:50 time: 0.5684 data_time: 0.2469 memory: 13609 grad_norm: 2.3129 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2251 loss: 2.2251 2022/08/01 10:09:39 - mmengine - INFO - Epoch(train) [17][540/940] lr: 6.0000e-02 eta: 11:34:36 time: 0.4950 data_time: 0.1918 memory: 13609 grad_norm: 2.3498 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1557 loss: 2.1557 2022/08/01 10:09:50 - mmengine - INFO - Epoch(train) [17][560/940] lr: 6.0000e-02 eta: 11:34:28 time: 0.5610 data_time: 0.2239 memory: 13609 grad_norm: 2.3962 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0067 loss: 2.0067 2022/08/01 10:10:00 - mmengine - INFO - Epoch(train) [17][580/940] lr: 6.0000e-02 eta: 11:34:13 time: 0.4916 data_time: 0.1174 memory: 13609 grad_norm: 2.3401 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.0157 loss: 2.0157 2022/08/01 10:10:10 - mmengine - INFO - Epoch(train) [17][600/940] lr: 6.0000e-02 eta: 11:34:00 time: 0.5040 data_time: 0.1758 memory: 13609 grad_norm: 2.3657 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1169 loss: 2.1169 2022/08/01 10:10:20 - mmengine - INFO - Epoch(train) [17][620/940] lr: 6.0000e-02 eta: 11:33:47 time: 0.5046 data_time: 0.1532 memory: 13609 grad_norm: 2.4104 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8560 loss: 1.8560 2022/08/01 10:10:31 - mmengine - INFO - Epoch(train) [17][640/940] lr: 6.0000e-02 eta: 11:33:37 time: 0.5359 data_time: 0.2000 memory: 13609 grad_norm: 2.3869 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9749 loss: 1.9749 2022/08/01 10:10:41 - mmengine - INFO - Epoch(train) [17][660/940] lr: 6.0000e-02 eta: 11:33:26 time: 0.5271 data_time: 0.1464 memory: 13609 grad_norm: 2.3991 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0908 loss: 2.0908 2022/08/01 10:10:52 - mmengine - INFO - Epoch(train) [17][680/940] lr: 6.0000e-02 eta: 11:33:18 time: 0.5610 data_time: 0.2313 memory: 13609 grad_norm: 2.3578 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.0344 loss: 2.0344 2022/08/01 10:11:02 - mmengine - INFO - Epoch(train) [17][700/940] lr: 6.0000e-02 eta: 11:33:02 time: 0.4786 data_time: 0.1542 memory: 13609 grad_norm: 2.3710 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.0649 loss: 2.0649 2022/08/01 10:11:13 - mmengine - INFO - Epoch(train) [17][720/940] lr: 6.0000e-02 eta: 11:32:54 time: 0.5529 data_time: 0.2509 memory: 13609 grad_norm: 2.3540 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1060 loss: 2.1060 2022/08/01 10:11:23 - mmengine - INFO - Epoch(train) [17][740/940] lr: 6.0000e-02 eta: 11:32:41 time: 0.5117 data_time: 0.1797 memory: 13609 grad_norm: 2.3600 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.3624 loss: 2.3624 2022/08/01 10:11:33 - mmengine - INFO - Epoch(train) [17][760/940] lr: 6.0000e-02 eta: 11:32:26 time: 0.4859 data_time: 0.1368 memory: 13609 grad_norm: 2.3642 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.2143 loss: 2.2143 2022/08/01 10:11:45 - mmengine - INFO - Epoch(train) [17][780/940] lr: 6.0000e-02 eta: 11:32:19 time: 0.5737 data_time: 0.0593 memory: 13609 grad_norm: 2.3634 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.3599 loss: 2.3599 2022/08/01 10:11:54 - mmengine - INFO - Epoch(train) [17][800/940] lr: 6.0000e-02 eta: 11:32:04 time: 0.4812 data_time: 0.0359 memory: 13609 grad_norm: 2.3157 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0663 loss: 2.0663 2022/08/01 10:12:06 - mmengine - INFO - Epoch(train) [17][820/940] lr: 6.0000e-02 eta: 11:31:58 time: 0.5836 data_time: 0.0340 memory: 13609 grad_norm: 2.3552 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2656 loss: 2.2656 2022/08/01 10:12:16 - mmengine - INFO - Epoch(train) [17][840/940] lr: 6.0000e-02 eta: 11:31:46 time: 0.5132 data_time: 0.0340 memory: 13609 grad_norm: 2.3732 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0948 loss: 2.0948 2022/08/01 10:12:27 - mmengine - INFO - Epoch(train) [17][860/940] lr: 6.0000e-02 eta: 11:31:37 time: 0.5523 data_time: 0.0420 memory: 13609 grad_norm: 2.3692 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1863 loss: 2.1863 2022/08/01 10:12:37 - mmengine - INFO - Epoch(train) [17][880/940] lr: 6.0000e-02 eta: 11:31:24 time: 0.4990 data_time: 0.0360 memory: 13609 grad_norm: 2.3873 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.1087 loss: 2.1087 2022/08/01 10:12:48 - mmengine - INFO - Epoch(train) [17][900/940] lr: 6.0000e-02 eta: 11:31:16 time: 0.5585 data_time: 0.0534 memory: 13609 grad_norm: 2.3822 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.3955 loss: 2.3955 2022/08/01 10:12:57 - mmengine - INFO - Epoch(train) [17][920/940] lr: 6.0000e-02 eta: 11:30:58 time: 0.4612 data_time: 0.0331 memory: 13609 grad_norm: 2.3717 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0319 loss: 2.0319 2022/08/01 10:13:07 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:13:07 - mmengine - INFO - Epoch(train) [17][940/940] lr: 6.0000e-02 eta: 11:30:42 time: 0.4786 data_time: 0.0291 memory: 13609 grad_norm: 2.4622 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.2406 loss: 2.2406 2022/08/01 10:14:53 - mmengine - INFO - Epoch(val) [17][20/78] eta: 0:05:07 time: 5.2990 data_time: 4.5076 memory: 19674 2022/08/01 10:16:05 - mmengine - INFO - Epoch(val) [17][40/78] eta: 0:02:17 time: 3.6079 data_time: 2.8434 memory: 19674 2022/08/01 10:17:41 - mmengine - INFO - Epoch(val) [17][60/78] eta: 0:01:26 time: 4.8110 data_time: 4.0535 memory: 19674 2022/08/01 10:18:54 - mmengine - INFO - Epoch(val) [17][78/78] acc/top1: 0.5914 acc/top5: 0.8266 acc/mean1: 0.5912 2022/08/01 10:19:10 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:19:10 - mmengine - INFO - Epoch(train) [18][20/940] lr: 6.0000e-02 eta: 11:30:55 time: 0.7659 data_time: 0.3580 memory: 19674 grad_norm: 2.3890 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9271 loss: 1.9271 2022/08/01 10:19:19 - mmengine - INFO - Epoch(train) [18][40/940] lr: 6.0000e-02 eta: 11:30:39 time: 0.4790 data_time: 0.0425 memory: 13609 grad_norm: 2.4168 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2506 loss: 2.2506 2022/08/01 10:19:31 - mmengine - INFO - Epoch(train) [18][60/940] lr: 6.0000e-02 eta: 11:30:33 time: 0.5753 data_time: 0.0333 memory: 13609 grad_norm: 2.3771 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0686 loss: 2.0686 2022/08/01 10:19:40 - mmengine - INFO - Epoch(train) [18][80/940] lr: 6.0000e-02 eta: 11:30:15 time: 0.4598 data_time: 0.0350 memory: 13609 grad_norm: 2.3887 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.1133 loss: 2.1133 2022/08/01 10:19:51 - mmengine - INFO - Epoch(train) [18][100/940] lr: 6.0000e-02 eta: 11:30:07 time: 0.5620 data_time: 0.0356 memory: 13609 grad_norm: 2.3560 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.0443 loss: 2.0443 2022/08/01 10:20:01 - mmengine - INFO - Epoch(train) [18][120/940] lr: 6.0000e-02 eta: 11:29:53 time: 0.4899 data_time: 0.0365 memory: 13609 grad_norm: 2.3494 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0452 loss: 2.0452 2022/08/01 10:20:12 - mmengine - INFO - Epoch(train) [18][140/940] lr: 6.0000e-02 eta: 11:29:43 time: 0.5445 data_time: 0.0354 memory: 13609 grad_norm: 2.3666 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0533 loss: 2.0533 2022/08/01 10:20:23 - mmengine - INFO - Epoch(train) [18][160/940] lr: 6.0000e-02 eta: 11:29:33 time: 0.5331 data_time: 0.0395 memory: 13609 grad_norm: 2.3576 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1920 loss: 2.1920 2022/08/01 10:20:34 - mmengine - INFO - Epoch(train) [18][180/940] lr: 6.0000e-02 eta: 11:29:24 time: 0.5452 data_time: 0.0362 memory: 13609 grad_norm: 2.3236 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0913 loss: 2.0913 2022/08/01 10:20:44 - mmengine - INFO - Epoch(train) [18][200/940] lr: 6.0000e-02 eta: 11:29:10 time: 0.5030 data_time: 0.0317 memory: 13609 grad_norm: 2.3667 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.0983 loss: 2.0983 2022/08/01 10:20:55 - mmengine - INFO - Epoch(train) [18][220/940] lr: 6.0000e-02 eta: 11:29:01 time: 0.5460 data_time: 0.0486 memory: 13609 grad_norm: 2.3583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8450 loss: 1.8450 2022/08/01 10:21:04 - mmengine - INFO - Epoch(train) [18][240/940] lr: 6.0000e-02 eta: 11:28:45 time: 0.4773 data_time: 0.0336 memory: 13609 grad_norm: 2.3804 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2261 loss: 2.2261 2022/08/01 10:21:16 - mmengine - INFO - Epoch(train) [18][260/940] lr: 6.0000e-02 eta: 11:28:41 time: 0.5999 data_time: 0.0373 memory: 13609 grad_norm: 2.4104 top1_acc: 0.6250 top5_acc: 0.6562 loss_cls: 2.1989 loss: 2.1989 2022/08/01 10:21:25 - mmengine - INFO - Epoch(train) [18][280/940] lr: 6.0000e-02 eta: 11:28:22 time: 0.4477 data_time: 0.0344 memory: 13609 grad_norm: 2.3806 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9797 loss: 1.9797 2022/08/01 10:21:36 - mmengine - INFO - Epoch(train) [18][300/940] lr: 6.0000e-02 eta: 11:28:15 time: 0.5608 data_time: 0.0354 memory: 13609 grad_norm: 2.3939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0611 loss: 2.0611 2022/08/01 10:21:45 - mmengine - INFO - Epoch(train) [18][320/940] lr: 6.0000e-02 eta: 11:27:57 time: 0.4568 data_time: 0.0348 memory: 13609 grad_norm: 2.4008 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1206 loss: 2.1206 2022/08/01 10:21:56 - mmengine - INFO - Epoch(train) [18][340/940] lr: 6.0000e-02 eta: 11:27:48 time: 0.5510 data_time: 0.0327 memory: 13609 grad_norm: 2.3928 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0617 loss: 2.0617 2022/08/01 10:22:06 - mmengine - INFO - Epoch(train) [18][360/940] lr: 6.0000e-02 eta: 11:27:34 time: 0.4935 data_time: 0.0361 memory: 13609 grad_norm: 2.4241 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.1020 loss: 2.1020 2022/08/01 10:22:18 - mmengine - INFO - Epoch(train) [18][380/940] lr: 6.0000e-02 eta: 11:27:28 time: 0.5812 data_time: 0.0376 memory: 13609 grad_norm: 2.4038 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2591 loss: 2.2591 2022/08/01 10:22:29 - mmengine - INFO - Epoch(train) [18][400/940] lr: 6.0000e-02 eta: 11:27:18 time: 0.5374 data_time: 0.0372 memory: 13609 grad_norm: 2.3876 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9624 loss: 1.9624 2022/08/01 10:22:39 - mmengine - INFO - Epoch(train) [18][420/940] lr: 6.0000e-02 eta: 11:27:06 time: 0.5149 data_time: 0.0410 memory: 13609 grad_norm: 2.3766 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0833 loss: 2.0833 2022/08/01 10:22:49 - mmengine - INFO - Epoch(train) [18][440/940] lr: 6.0000e-02 eta: 11:26:52 time: 0.4998 data_time: 0.0361 memory: 13609 grad_norm: 2.3887 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.2336 loss: 2.2336 2022/08/01 10:23:01 - mmengine - INFO - Epoch(train) [18][460/940] lr: 6.0000e-02 eta: 11:26:49 time: 0.6055 data_time: 0.0359 memory: 13609 grad_norm: 2.3911 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2914 loss: 2.2914 2022/08/01 10:23:11 - mmengine - INFO - Epoch(train) [18][480/940] lr: 6.0000e-02 eta: 11:26:34 time: 0.4917 data_time: 0.0391 memory: 13609 grad_norm: 2.3651 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0193 loss: 2.0193 2022/08/01 10:23:22 - mmengine - INFO - Epoch(train) [18][500/940] lr: 6.0000e-02 eta: 11:26:25 time: 0.5434 data_time: 0.0323 memory: 13609 grad_norm: 2.4110 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.1609 loss: 2.1609 2022/08/01 10:23:31 - mmengine - INFO - Epoch(train) [18][520/940] lr: 6.0000e-02 eta: 11:26:08 time: 0.4674 data_time: 0.0354 memory: 13609 grad_norm: 2.4104 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.3759 loss: 2.3759 2022/08/01 10:23:42 - mmengine - INFO - Epoch(train) [18][540/940] lr: 6.0000e-02 eta: 11:26:00 time: 0.5612 data_time: 0.0362 memory: 13609 grad_norm: 2.4025 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2429 loss: 2.2429 2022/08/01 10:23:52 - mmengine - INFO - Epoch(train) [18][560/940] lr: 6.0000e-02 eta: 11:25:45 time: 0.4854 data_time: 0.0415 memory: 13609 grad_norm: 2.3492 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1017 loss: 2.1017 2022/08/01 10:24:03 - mmengine - INFO - Epoch(train) [18][580/940] lr: 6.0000e-02 eta: 11:25:38 time: 0.5666 data_time: 0.0354 memory: 13609 grad_norm: 2.3373 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.1422 loss: 2.1422 2022/08/01 10:24:13 - mmengine - INFO - Epoch(train) [18][600/940] lr: 6.0000e-02 eta: 11:25:24 time: 0.4993 data_time: 0.0314 memory: 13609 grad_norm: 2.4069 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0730 loss: 2.0730 2022/08/01 10:24:24 - mmengine - INFO - Epoch(train) [18][620/940] lr: 6.0000e-02 eta: 11:25:13 time: 0.5239 data_time: 0.0483 memory: 13609 grad_norm: 2.3965 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 2.0836 loss: 2.0836 2022/08/01 10:24:34 - mmengine - INFO - Epoch(train) [18][640/940] lr: 6.0000e-02 eta: 11:24:59 time: 0.4903 data_time: 0.0396 memory: 13609 grad_norm: 2.3957 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0501 loss: 2.0501 2022/08/01 10:24:44 - mmengine - INFO - Epoch(train) [18][660/940] lr: 6.0000e-02 eta: 11:24:49 time: 0.5413 data_time: 0.0377 memory: 13609 grad_norm: 2.3201 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0242 loss: 2.0242 2022/08/01 10:24:55 - mmengine - INFO - Epoch(train) [18][680/940] lr: 6.0000e-02 eta: 11:24:36 time: 0.5064 data_time: 0.0350 memory: 13609 grad_norm: 2.3922 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0260 loss: 2.0260 2022/08/01 10:25:07 - mmengine - INFO - Epoch(train) [18][700/940] lr: 6.0000e-02 eta: 11:24:31 time: 0.5901 data_time: 0.1467 memory: 13609 grad_norm: 2.3792 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0932 loss: 2.0932 2022/08/01 10:25:16 - mmengine - INFO - Epoch(train) [18][720/940] lr: 6.0000e-02 eta: 11:24:15 time: 0.4707 data_time: 0.1190 memory: 13609 grad_norm: 2.3962 top1_acc: 0.4062 top5_acc: 0.8438 loss_cls: 2.3284 loss: 2.3284 2022/08/01 10:25:27 - mmengine - INFO - Epoch(train) [18][740/940] lr: 6.0000e-02 eta: 11:24:08 time: 0.5696 data_time: 0.1724 memory: 13609 grad_norm: 2.3256 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.0963 loss: 2.0963 2022/08/01 10:25:37 - mmengine - INFO - Epoch(train) [18][760/940] lr: 6.0000e-02 eta: 11:23:55 time: 0.5130 data_time: 0.0533 memory: 13609 grad_norm: 2.3600 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1289 loss: 2.1289 2022/08/01 10:25:48 - mmengine - INFO - Epoch(train) [18][780/940] lr: 6.0000e-02 eta: 11:23:43 time: 0.5169 data_time: 0.0387 memory: 13609 grad_norm: 2.3936 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2759 loss: 2.2759 2022/08/01 10:25:58 - mmengine - INFO - Epoch(train) [18][800/940] lr: 6.0000e-02 eta: 11:23:31 time: 0.5155 data_time: 0.0450 memory: 13609 grad_norm: 2.3456 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0710 loss: 2.0710 2022/08/01 10:26:08 - mmengine - INFO - Epoch(train) [18][820/940] lr: 6.0000e-02 eta: 11:23:20 time: 0.5172 data_time: 0.0424 memory: 13609 grad_norm: 2.3745 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1943 loss: 2.1943 2022/08/01 10:26:20 - mmengine - INFO - Epoch(train) [18][840/940] lr: 6.0000e-02 eta: 11:23:14 time: 0.5831 data_time: 0.0242 memory: 13609 grad_norm: 2.3915 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2030 loss: 2.2030 2022/08/01 10:26:32 - mmengine - INFO - Epoch(train) [18][860/940] lr: 6.0000e-02 eta: 11:23:08 time: 0.5871 data_time: 0.0424 memory: 13609 grad_norm: 2.3968 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2746 loss: 2.2746 2022/08/01 10:26:41 - mmengine - INFO - Epoch(train) [18][880/940] lr: 6.0000e-02 eta: 11:22:52 time: 0.4695 data_time: 0.0337 memory: 13609 grad_norm: 2.3636 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9933 loss: 1.9933 2022/08/01 10:26:52 - mmengine - INFO - Epoch(train) [18][900/940] lr: 6.0000e-02 eta: 11:22:43 time: 0.5477 data_time: 0.0697 memory: 13609 grad_norm: 2.3385 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0446 loss: 2.0446 2022/08/01 10:27:02 - mmengine - INFO - Epoch(train) [18][920/940] lr: 6.0000e-02 eta: 11:22:28 time: 0.4855 data_time: 0.0401 memory: 13609 grad_norm: 2.3510 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.0924 loss: 2.0924 2022/08/01 10:27:10 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:27:10 - mmengine - INFO - Epoch(train) [18][940/940] lr: 6.0000e-02 eta: 11:22:08 time: 0.4232 data_time: 0.0225 memory: 13609 grad_norm: 2.4780 top1_acc: 0.1429 top5_acc: 0.8571 loss_cls: 2.0178 loss: 2.0178 2022/08/01 10:27:10 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/01 10:28:59 - mmengine - INFO - Epoch(val) [18][20/78] eta: 0:05:08 time: 5.3134 data_time: 4.5453 memory: 19674 2022/08/01 10:30:11 - mmengine - INFO - Epoch(val) [18][40/78] eta: 0:02:17 time: 3.6170 data_time: 2.8649 memory: 19674 2022/08/01 10:31:46 - mmengine - INFO - Epoch(val) [18][60/78] eta: 0:01:25 time: 4.7714 data_time: 4.0118 memory: 19674 2022/08/01 10:32:58 - mmengine - INFO - Epoch(val) [18][78/78] acc/top1: 0.5863 acc/top5: 0.8219 acc/mean1: 0.5863 2022/08/01 10:33:12 - mmengine - INFO - Epoch(train) [19][20/940] lr: 6.0000e-02 eta: 11:22:15 time: 0.7247 data_time: 0.2907 memory: 19674 grad_norm: 2.2960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0908 loss: 2.0908 2022/08/01 10:33:22 - mmengine - INFO - Epoch(train) [19][40/940] lr: 6.0000e-02 eta: 11:21:58 time: 0.4670 data_time: 0.0468 memory: 13609 grad_norm: 2.3399 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9881 loss: 1.9881 2022/08/01 10:33:33 - mmengine - INFO - Epoch(train) [19][60/940] lr: 6.0000e-02 eta: 11:21:51 time: 0.5673 data_time: 0.0352 memory: 13609 grad_norm: 2.3363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0038 loss: 2.0038 2022/08/01 10:33:43 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:33:43 - mmengine - INFO - Epoch(train) [19][80/940] lr: 6.0000e-02 eta: 11:21:35 time: 0.4756 data_time: 0.0619 memory: 13609 grad_norm: 2.3833 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1143 loss: 2.1143 2022/08/01 10:33:54 - mmengine - INFO - Epoch(train) [19][100/940] lr: 6.0000e-02 eta: 11:21:28 time: 0.5695 data_time: 0.1236 memory: 13609 grad_norm: 2.3985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0757 loss: 2.0757 2022/08/01 10:34:04 - mmengine - INFO - Epoch(train) [19][120/940] lr: 6.0000e-02 eta: 11:21:14 time: 0.4902 data_time: 0.0287 memory: 13609 grad_norm: 2.3833 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.0830 loss: 2.0830 2022/08/01 10:34:15 - mmengine - INFO - Epoch(train) [19][140/940] lr: 6.0000e-02 eta: 11:21:05 time: 0.5535 data_time: 0.0356 memory: 13609 grad_norm: 2.4088 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 1.9915 loss: 1.9915 2022/08/01 10:34:25 - mmengine - INFO - Epoch(train) [19][160/940] lr: 6.0000e-02 eta: 11:20:54 time: 0.5279 data_time: 0.0340 memory: 13609 grad_norm: 2.4130 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0875 loss: 2.0875 2022/08/01 10:34:36 - mmengine - INFO - Epoch(train) [19][180/940] lr: 6.0000e-02 eta: 11:20:44 time: 0.5333 data_time: 0.0383 memory: 13609 grad_norm: 2.3783 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.9922 loss: 1.9922 2022/08/01 10:34:46 - mmengine - INFO - Epoch(train) [19][200/940] lr: 6.0000e-02 eta: 11:20:32 time: 0.5229 data_time: 0.0359 memory: 13609 grad_norm: 2.3784 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0323 loss: 2.0323 2022/08/01 10:34:58 - mmengine - INFO - Epoch(train) [19][220/940] lr: 6.0000e-02 eta: 11:20:25 time: 0.5653 data_time: 0.0398 memory: 13609 grad_norm: 2.3916 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0614 loss: 2.0614 2022/08/01 10:35:07 - mmengine - INFO - Epoch(train) [19][240/940] lr: 6.0000e-02 eta: 11:20:09 time: 0.4768 data_time: 0.0295 memory: 13609 grad_norm: 2.3917 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.2076 loss: 2.2076 2022/08/01 10:35:19 - mmengine - INFO - Epoch(train) [19][260/940] lr: 6.0000e-02 eta: 11:20:03 time: 0.5810 data_time: 0.0347 memory: 13609 grad_norm: 2.3815 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0303 loss: 2.0303 2022/08/01 10:35:29 - mmengine - INFO - Epoch(train) [19][280/940] lr: 6.0000e-02 eta: 11:19:51 time: 0.5164 data_time: 0.0324 memory: 13609 grad_norm: 2.3830 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1774 loss: 2.1774 2022/08/01 10:35:40 - mmengine - INFO - Epoch(train) [19][300/940] lr: 6.0000e-02 eta: 11:19:39 time: 0.5103 data_time: 0.0346 memory: 13609 grad_norm: 2.3623 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1634 loss: 2.1634 2022/08/01 10:35:50 - mmengine - INFO - Epoch(train) [19][320/940] lr: 6.0000e-02 eta: 11:19:29 time: 0.5469 data_time: 0.0427 memory: 13609 grad_norm: 2.4075 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8417 loss: 1.8417 2022/08/01 10:36:01 - mmengine - INFO - Epoch(train) [19][340/940] lr: 6.0000e-02 eta: 11:19:18 time: 0.5163 data_time: 0.0355 memory: 13609 grad_norm: 2.4108 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1489 loss: 2.1489 2022/08/01 10:36:10 - mmengine - INFO - Epoch(train) [19][360/940] lr: 6.0000e-02 eta: 11:19:02 time: 0.4743 data_time: 0.0730 memory: 13609 grad_norm: 2.3958 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1912 loss: 2.1912 2022/08/01 10:36:21 - mmengine - INFO - Epoch(train) [19][380/940] lr: 6.0000e-02 eta: 11:18:53 time: 0.5542 data_time: 0.0380 memory: 13609 grad_norm: 2.4355 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1654 loss: 2.1654 2022/08/01 10:36:31 - mmengine - INFO - Epoch(train) [19][400/940] lr: 6.0000e-02 eta: 11:18:40 time: 0.5057 data_time: 0.0442 memory: 13609 grad_norm: 2.3838 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0814 loss: 2.0814 2022/08/01 10:36:43 - mmengine - INFO - Epoch(train) [19][420/940] lr: 6.0000e-02 eta: 11:18:32 time: 0.5614 data_time: 0.0319 memory: 13609 grad_norm: 2.3831 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.2596 loss: 2.2596 2022/08/01 10:36:52 - mmengine - INFO - Epoch(train) [19][440/940] lr: 6.0000e-02 eta: 11:18:17 time: 0.4731 data_time: 0.0323 memory: 13609 grad_norm: 2.4004 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.1037 loss: 2.1037 2022/08/01 10:37:04 - mmengine - INFO - Epoch(train) [19][460/940] lr: 6.0000e-02 eta: 11:18:10 time: 0.5778 data_time: 0.0407 memory: 13609 grad_norm: 2.4022 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9929 loss: 1.9929 2022/08/01 10:37:13 - mmengine - INFO - Epoch(train) [19][480/940] lr: 6.0000e-02 eta: 11:17:55 time: 0.4769 data_time: 0.0407 memory: 13609 grad_norm: 2.3441 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.0362 loss: 2.0362 2022/08/01 10:37:23 - mmengine - INFO - Epoch(train) [19][500/940] lr: 6.0000e-02 eta: 11:17:41 time: 0.4910 data_time: 0.0363 memory: 13609 grad_norm: 2.3841 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1608 loss: 2.1608 2022/08/01 10:37:34 - mmengine - INFO - Epoch(train) [19][520/940] lr: 6.0000e-02 eta: 11:17:30 time: 0.5249 data_time: 0.0399 memory: 13609 grad_norm: 2.4087 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0005 loss: 2.0005 2022/08/01 10:37:44 - mmengine - INFO - Epoch(train) [19][540/940] lr: 6.0000e-02 eta: 11:17:17 time: 0.5085 data_time: 0.0375 memory: 13609 grad_norm: 2.3920 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1091 loss: 2.1091 2022/08/01 10:37:54 - mmengine - INFO - Epoch(train) [19][560/940] lr: 6.0000e-02 eta: 11:17:06 time: 0.5244 data_time: 0.0377 memory: 13609 grad_norm: 2.3938 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.2399 loss: 2.2399 2022/08/01 10:38:06 - mmengine - INFO - Epoch(train) [19][580/940] lr: 6.0000e-02 eta: 11:16:59 time: 0.5788 data_time: 0.0342 memory: 13609 grad_norm: 2.3731 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.2617 loss: 2.2617 2022/08/01 10:38:16 - mmengine - INFO - Epoch(train) [19][600/940] lr: 6.0000e-02 eta: 11:16:45 time: 0.4889 data_time: 0.0351 memory: 13609 grad_norm: 2.3936 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1397 loss: 2.1397 2022/08/01 10:38:27 - mmengine - INFO - Epoch(train) [19][620/940] lr: 6.0000e-02 eta: 11:16:39 time: 0.5784 data_time: 0.0344 memory: 13609 grad_norm: 2.4082 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1847 loss: 2.1847 2022/08/01 10:38:37 - mmengine - INFO - Epoch(train) [19][640/940] lr: 6.0000e-02 eta: 11:16:23 time: 0.4782 data_time: 0.0395 memory: 13609 grad_norm: 2.3853 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9703 loss: 1.9703 2022/08/01 10:38:47 - mmengine - INFO - Epoch(train) [19][660/940] lr: 6.0000e-02 eta: 11:16:13 time: 0.5287 data_time: 0.0351 memory: 13609 grad_norm: 2.3624 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0598 loss: 2.0598 2022/08/01 10:38:57 - mmengine - INFO - Epoch(train) [19][680/940] lr: 6.0000e-02 eta: 11:16:00 time: 0.5057 data_time: 0.0363 memory: 13609 grad_norm: 2.3932 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.2184 loss: 2.2184 2022/08/01 10:39:09 - mmengine - INFO - Epoch(train) [19][700/940] lr: 6.0000e-02 eta: 11:15:54 time: 0.5846 data_time: 0.0363 memory: 13609 grad_norm: 2.3439 top1_acc: 0.6562 top5_acc: 0.6875 loss_cls: 2.0497 loss: 2.0497 2022/08/01 10:39:19 - mmengine - INFO - Epoch(train) [19][720/940] lr: 6.0000e-02 eta: 11:15:38 time: 0.4761 data_time: 0.0404 memory: 13609 grad_norm: 2.4351 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1187 loss: 2.1187 2022/08/01 10:39:30 - mmengine - INFO - Epoch(train) [19][740/940] lr: 6.0000e-02 eta: 11:15:30 time: 0.5512 data_time: 0.0322 memory: 13609 grad_norm: 2.4205 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0076 loss: 2.0076 2022/08/01 10:39:38 - mmengine - INFO - Epoch(train) [19][760/940] lr: 6.0000e-02 eta: 11:15:11 time: 0.4369 data_time: 0.0325 memory: 13609 grad_norm: 2.4215 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 2.1168 loss: 2.1168 2022/08/01 10:39:50 - mmengine - INFO - Epoch(train) [19][780/940] lr: 6.0000e-02 eta: 11:15:06 time: 0.5926 data_time: 0.0436 memory: 13609 grad_norm: 2.3991 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1790 loss: 2.1790 2022/08/01 10:40:00 - mmengine - INFO - Epoch(train) [19][800/940] lr: 6.0000e-02 eta: 11:14:53 time: 0.5133 data_time: 0.0360 memory: 13609 grad_norm: 2.3759 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8894 loss: 1.8894 2022/08/01 10:40:11 - mmengine - INFO - Epoch(train) [19][820/940] lr: 6.0000e-02 eta: 11:14:43 time: 0.5359 data_time: 0.0387 memory: 13609 grad_norm: 2.3693 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2064 loss: 2.2064 2022/08/01 10:40:21 - mmengine - INFO - Epoch(train) [19][840/940] lr: 6.0000e-02 eta: 11:14:28 time: 0.4765 data_time: 0.0365 memory: 13609 grad_norm: 2.3711 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3173 loss: 2.3173 2022/08/01 10:40:33 - mmengine - INFO - Epoch(train) [19][860/940] lr: 6.0000e-02 eta: 11:14:23 time: 0.5998 data_time: 0.0834 memory: 13609 grad_norm: 2.3748 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0588 loss: 2.0588 2022/08/01 10:40:42 - mmengine - INFO - Epoch(train) [19][880/940] lr: 6.0000e-02 eta: 11:14:07 time: 0.4707 data_time: 0.0606 memory: 13609 grad_norm: 2.3791 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.1011 loss: 2.1011 2022/08/01 10:40:55 - mmengine - INFO - Epoch(train) [19][900/940] lr: 6.0000e-02 eta: 11:14:05 time: 0.6250 data_time: 0.0375 memory: 13609 grad_norm: 2.3985 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.2143 loss: 2.2143 2022/08/01 10:41:03 - mmengine - INFO - Epoch(train) [19][920/940] lr: 6.0000e-02 eta: 11:13:46 time: 0.4327 data_time: 0.0316 memory: 13609 grad_norm: 2.3300 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0664 loss: 2.0664 2022/08/01 10:41:13 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:41:13 - mmengine - INFO - Epoch(train) [19][940/940] lr: 6.0000e-02 eta: 11:13:32 time: 0.4919 data_time: 0.0266 memory: 13609 grad_norm: 2.4570 top1_acc: 0.2857 top5_acc: 0.2857 loss_cls: 2.2235 loss: 2.2235 2022/08/01 10:42:59 - mmengine - INFO - Epoch(val) [19][20/78] eta: 0:05:06 time: 5.2837 data_time: 4.5083 memory: 19674 2022/08/01 10:44:11 - mmengine - INFO - Epoch(val) [19][40/78] eta: 0:02:17 time: 3.6209 data_time: 2.8544 memory: 19674 2022/08/01 10:45:47 - mmengine - INFO - Epoch(val) [19][60/78] eta: 0:01:25 time: 4.7612 data_time: 3.9996 memory: 19674 2022/08/01 10:47:00 - mmengine - INFO - Epoch(val) [19][78/78] acc/top1: 0.5939 acc/top5: 0.8229 acc/mean1: 0.5935 2022/08/01 10:47:14 - mmengine - INFO - Epoch(train) [20][20/940] lr: 6.0000e-02 eta: 11:13:37 time: 0.7158 data_time: 0.2529 memory: 19674 grad_norm: 2.3202 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9253 loss: 1.9253 2022/08/01 10:47:24 - mmengine - INFO - Epoch(train) [20][40/940] lr: 6.0000e-02 eta: 11:13:20 time: 0.4572 data_time: 0.0355 memory: 13609 grad_norm: 2.3369 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.0686 loss: 2.0686 2022/08/01 10:47:36 - mmengine - INFO - Epoch(train) [20][60/940] lr: 6.0000e-02 eta: 11:13:16 time: 0.6104 data_time: 0.0350 memory: 13609 grad_norm: 2.4013 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.1719 loss: 2.1719 2022/08/01 10:47:45 - mmengine - INFO - Epoch(train) [20][80/940] lr: 6.0000e-02 eta: 11:13:00 time: 0.4647 data_time: 0.0477 memory: 13609 grad_norm: 2.3686 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0318 loss: 2.0318 2022/08/01 10:47:56 - mmengine - INFO - Epoch(train) [20][100/940] lr: 6.0000e-02 eta: 11:12:52 time: 0.5608 data_time: 0.0323 memory: 13609 grad_norm: 2.3792 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0289 loss: 2.0289 2022/08/01 10:48:06 - mmengine - INFO - Epoch(train) [20][120/940] lr: 6.0000e-02 eta: 11:12:39 time: 0.5047 data_time: 0.0360 memory: 13609 grad_norm: 2.4241 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0099 loss: 2.0099 2022/08/01 10:48:17 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:48:17 - mmengine - INFO - Epoch(train) [20][140/940] lr: 6.0000e-02 eta: 11:12:29 time: 0.5372 data_time: 0.0343 memory: 13609 grad_norm: 2.3767 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0478 loss: 2.0478 2022/08/01 10:48:26 - mmengine - INFO - Epoch(train) [20][160/940] lr: 6.0000e-02 eta: 11:12:13 time: 0.4678 data_time: 0.0420 memory: 13609 grad_norm: 2.3686 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1674 loss: 2.1674 2022/08/01 10:48:39 - mmengine - INFO - Epoch(train) [20][180/940] lr: 6.0000e-02 eta: 11:12:09 time: 0.6070 data_time: 0.1287 memory: 13609 grad_norm: 2.3766 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.2895 loss: 2.2895 2022/08/01 10:48:48 - mmengine - INFO - Epoch(train) [20][200/940] lr: 6.0000e-02 eta: 11:11:55 time: 0.4886 data_time: 0.1017 memory: 13609 grad_norm: 2.4107 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1060 loss: 2.1060 2022/08/01 10:48:59 - mmengine - INFO - Epoch(train) [20][220/940] lr: 6.0000e-02 eta: 11:11:46 time: 0.5481 data_time: 0.2107 memory: 13609 grad_norm: 2.4040 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 2.1462 loss: 2.1462 2022/08/01 10:49:09 - mmengine - INFO - Epoch(train) [20][240/940] lr: 6.0000e-02 eta: 11:11:31 time: 0.4893 data_time: 0.1828 memory: 13609 grad_norm: 2.3716 top1_acc: 0.4375 top5_acc: 0.5312 loss_cls: 2.0491 loss: 2.0491 2022/08/01 10:49:20 - mmengine - INFO - Epoch(train) [20][260/940] lr: 6.0000e-02 eta: 11:11:22 time: 0.5492 data_time: 0.2286 memory: 13609 grad_norm: 2.4389 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0092 loss: 2.0092 2022/08/01 10:49:30 - mmengine - INFO - Epoch(train) [20][280/940] lr: 6.0000e-02 eta: 11:11:08 time: 0.4898 data_time: 0.1304 memory: 13609 grad_norm: 2.3562 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1554 loss: 2.1554 2022/08/01 10:49:42 - mmengine - INFO - Epoch(train) [20][300/940] lr: 6.0000e-02 eta: 11:11:03 time: 0.5912 data_time: 0.2458 memory: 13609 grad_norm: 2.3228 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0479 loss: 2.0479 2022/08/01 10:49:51 - mmengine - INFO - Epoch(train) [20][320/940] lr: 6.0000e-02 eta: 11:10:47 time: 0.4711 data_time: 0.1520 memory: 13609 grad_norm: 2.3773 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0358 loss: 2.0358 2022/08/01 10:50:02 - mmengine - INFO - Epoch(train) [20][340/940] lr: 6.0000e-02 eta: 11:10:38 time: 0.5479 data_time: 0.2344 memory: 13609 grad_norm: 2.3576 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0706 loss: 2.0706 2022/08/01 10:50:12 - mmengine - INFO - Epoch(train) [20][360/940] lr: 6.0000e-02 eta: 11:10:24 time: 0.4940 data_time: 0.1463 memory: 13609 grad_norm: 2.3636 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.9850 loss: 1.9850 2022/08/01 10:50:22 - mmengine - INFO - Epoch(train) [20][380/940] lr: 6.0000e-02 eta: 11:10:12 time: 0.5134 data_time: 0.1408 memory: 13609 grad_norm: 2.3755 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0755 loss: 2.0755 2022/08/01 10:50:32 - mmengine - INFO - Epoch(train) [20][400/940] lr: 6.0000e-02 eta: 11:09:59 time: 0.5053 data_time: 0.1304 memory: 13609 grad_norm: 2.3840 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9929 loss: 1.9929 2022/08/01 10:50:44 - mmengine - INFO - Epoch(train) [20][420/940] lr: 6.0000e-02 eta: 11:09:54 time: 0.5937 data_time: 0.2645 memory: 13609 grad_norm: 2.3813 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.1171 loss: 2.1171 2022/08/01 10:50:54 - mmengine - INFO - Epoch(train) [20][440/940] lr: 6.0000e-02 eta: 11:09:40 time: 0.4864 data_time: 0.1692 memory: 13609 grad_norm: 2.4157 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1129 loss: 2.1129 2022/08/01 10:51:05 - mmengine - INFO - Epoch(train) [20][460/940] lr: 6.0000e-02 eta: 11:09:33 time: 0.5711 data_time: 0.2580 memory: 13609 grad_norm: 2.4234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1473 loss: 2.1473 2022/08/01 10:51:15 - mmengine - INFO - Epoch(train) [20][480/940] lr: 6.0000e-02 eta: 11:09:16 time: 0.4561 data_time: 0.1443 memory: 13609 grad_norm: 2.4884 top1_acc: 0.4062 top5_acc: 0.8438 loss_cls: 2.2223 loss: 2.2223 2022/08/01 10:51:26 - mmengine - INFO - Epoch(train) [20][500/940] lr: 6.0000e-02 eta: 11:09:10 time: 0.5842 data_time: 0.2608 memory: 13609 grad_norm: 2.4101 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1796 loss: 2.1796 2022/08/01 10:51:36 - mmengine - INFO - Epoch(train) [20][520/940] lr: 6.0000e-02 eta: 11:08:54 time: 0.4658 data_time: 0.1653 memory: 13609 grad_norm: 2.3693 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/08/01 10:51:46 - mmengine - INFO - Epoch(train) [20][540/940] lr: 6.0000e-02 eta: 11:08:44 time: 0.5431 data_time: 0.2396 memory: 13609 grad_norm: 2.3781 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0778 loss: 2.0778 2022/08/01 10:51:56 - mmengine - INFO - Epoch(train) [20][560/940] lr: 6.0000e-02 eta: 11:08:30 time: 0.4905 data_time: 0.1250 memory: 13609 grad_norm: 2.4314 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1241 loss: 2.1241 2022/08/01 10:52:08 - mmengine - INFO - Epoch(train) [20][580/940] lr: 6.0000e-02 eta: 11:08:23 time: 0.5713 data_time: 0.0898 memory: 13609 grad_norm: 2.4012 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1652 loss: 2.1652 2022/08/01 10:52:17 - mmengine - INFO - Epoch(train) [20][600/940] lr: 6.0000e-02 eta: 11:08:06 time: 0.4558 data_time: 0.0492 memory: 13609 grad_norm: 2.4052 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0170 loss: 2.0170 2022/08/01 10:52:29 - mmengine - INFO - Epoch(train) [20][620/940] lr: 6.0000e-02 eta: 11:08:01 time: 0.5966 data_time: 0.0405 memory: 13609 grad_norm: 2.4446 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.1401 loss: 2.1401 2022/08/01 10:52:38 - mmengine - INFO - Epoch(train) [20][640/940] lr: 6.0000e-02 eta: 11:07:46 time: 0.4835 data_time: 0.0415 memory: 13609 grad_norm: 2.4150 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1509 loss: 2.1509 2022/08/01 10:52:50 - mmengine - INFO - Epoch(train) [20][660/940] lr: 6.0000e-02 eta: 11:07:41 time: 0.5940 data_time: 0.0366 memory: 13609 grad_norm: 2.4034 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1165 loss: 2.1165 2022/08/01 10:53:00 - mmengine - INFO - Epoch(train) [20][680/940] lr: 6.0000e-02 eta: 11:07:25 time: 0.4705 data_time: 0.0376 memory: 13609 grad_norm: 2.4093 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.0902 loss: 2.0902 2022/08/01 10:53:11 - mmengine - INFO - Epoch(train) [20][700/940] lr: 6.0000e-02 eta: 11:07:19 time: 0.5863 data_time: 0.0450 memory: 13609 grad_norm: 2.3994 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1645 loss: 2.1645 2022/08/01 10:53:20 - mmengine - INFO - Epoch(train) [20][720/940] lr: 6.0000e-02 eta: 11:07:01 time: 0.4390 data_time: 0.0501 memory: 13609 grad_norm: 2.3453 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1200 loss: 2.1200 2022/08/01 10:53:32 - mmengine - INFO - Epoch(train) [20][740/940] lr: 6.0000e-02 eta: 11:06:55 time: 0.5849 data_time: 0.0370 memory: 13609 grad_norm: 2.4133 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1218 loss: 2.1218 2022/08/01 10:53:42 - mmengine - INFO - Epoch(train) [20][760/940] lr: 6.0000e-02 eta: 11:06:41 time: 0.4914 data_time: 0.1023 memory: 13609 grad_norm: 2.3243 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0543 loss: 2.0543 2022/08/01 10:53:54 - mmengine - INFO - Epoch(train) [20][780/940] lr: 6.0000e-02 eta: 11:06:37 time: 0.6129 data_time: 0.0324 memory: 13609 grad_norm: 2.3589 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.3005 loss: 2.3005 2022/08/01 10:54:03 - mmengine - INFO - Epoch(train) [20][800/940] lr: 6.0000e-02 eta: 11:06:21 time: 0.4610 data_time: 0.0364 memory: 13609 grad_norm: 2.3942 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1377 loss: 2.1377 2022/08/01 10:54:14 - mmengine - INFO - Epoch(train) [20][820/940] lr: 6.0000e-02 eta: 11:06:11 time: 0.5427 data_time: 0.0283 memory: 13609 grad_norm: 2.3448 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1225 loss: 2.1225 2022/08/01 10:54:24 - mmengine - INFO - Epoch(train) [20][840/940] lr: 6.0000e-02 eta: 11:05:57 time: 0.4830 data_time: 0.0332 memory: 13609 grad_norm: 2.3989 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 2.1320 loss: 2.1320 2022/08/01 10:54:36 - mmengine - INFO - Epoch(train) [20][860/940] lr: 6.0000e-02 eta: 11:05:52 time: 0.6059 data_time: 0.0310 memory: 13609 grad_norm: 2.3517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1960 loss: 2.1960 2022/08/01 10:54:44 - mmengine - INFO - Epoch(train) [20][880/940] lr: 6.0000e-02 eta: 11:05:32 time: 0.4107 data_time: 0.0371 memory: 13609 grad_norm: 2.4205 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.2290 loss: 2.2290 2022/08/01 10:54:55 - mmengine - INFO - Epoch(train) [20][900/940] lr: 6.0000e-02 eta: 11:05:23 time: 0.5466 data_time: 0.0329 memory: 13609 grad_norm: 2.3916 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1263 loss: 2.1263 2022/08/01 10:55:05 - mmengine - INFO - Epoch(train) [20][920/940] lr: 6.0000e-02 eta: 11:05:10 time: 0.4982 data_time: 0.0449 memory: 13609 grad_norm: 2.3686 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0949 loss: 2.0949 2022/08/01 10:55:14 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 10:55:14 - mmengine - INFO - Epoch(train) [20][940/940] lr: 6.0000e-02 eta: 11:04:53 time: 0.4507 data_time: 0.0360 memory: 13609 grad_norm: 2.5031 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1407 loss: 2.1407 2022/08/01 10:56:59 - mmengine - INFO - Epoch(val) [20][20/78] eta: 0:05:05 time: 5.2741 data_time: 4.5060 memory: 19674 2022/08/01 10:58:12 - mmengine - INFO - Epoch(val) [20][40/78] eta: 0:02:17 time: 3.6116 data_time: 2.8608 memory: 19674 2022/08/01 10:59:48 - mmengine - INFO - Epoch(val) [20][60/78] eta: 0:01:26 time: 4.7925 data_time: 4.0335 memory: 19674 2022/08/01 11:01:01 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.5915 acc/top5: 0.8274 acc/mean1: 0.5915 2022/08/01 11:01:15 - mmengine - INFO - Epoch(train) [21][20/940] lr: 6.0000e-02 eta: 11:04:55 time: 0.6930 data_time: 0.2072 memory: 19674 grad_norm: 2.3230 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 1.9360 loss: 1.9360 2022/08/01 11:01:25 - mmengine - INFO - Epoch(train) [21][40/940] lr: 6.0000e-02 eta: 11:04:40 time: 0.4825 data_time: 0.0309 memory: 13609 grad_norm: 2.3785 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9182 loss: 1.9182 2022/08/01 11:01:37 - mmengine - INFO - Epoch(train) [21][60/940] lr: 6.0000e-02 eta: 11:04:35 time: 0.6005 data_time: 0.0359 memory: 13609 grad_norm: 2.3587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1603 loss: 2.1603 2022/08/01 11:01:47 - mmengine - INFO - Epoch(train) [21][80/940] lr: 6.0000e-02 eta: 11:04:22 time: 0.4912 data_time: 0.0314 memory: 13609 grad_norm: 2.3738 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.1207 loss: 2.1207 2022/08/01 11:01:58 - mmengine - INFO - Epoch(train) [21][100/940] lr: 6.0000e-02 eta: 11:04:14 time: 0.5679 data_time: 0.0408 memory: 13609 grad_norm: 2.3944 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9954 loss: 1.9954 2022/08/01 11:02:08 - mmengine - INFO - Epoch(train) [21][120/940] lr: 6.0000e-02 eta: 11:04:00 time: 0.4905 data_time: 0.0332 memory: 13609 grad_norm: 2.4067 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9942 loss: 1.9942 2022/08/01 11:02:19 - mmengine - INFO - Epoch(train) [21][140/940] lr: 6.0000e-02 eta: 11:03:51 time: 0.5497 data_time: 0.0411 memory: 13609 grad_norm: 2.4266 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 2.0236 loss: 2.0236 2022/08/01 11:02:30 - mmengine - INFO - Epoch(train) [21][160/940] lr: 6.0000e-02 eta: 11:03:43 time: 0.5669 data_time: 0.0366 memory: 13609 grad_norm: 2.4067 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1364 loss: 2.1364 2022/08/01 11:02:40 - mmengine - INFO - Epoch(train) [21][180/940] lr: 6.0000e-02 eta: 11:03:30 time: 0.4955 data_time: 0.0424 memory: 13609 grad_norm: 2.4293 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1565 loss: 2.1565 2022/08/01 11:02:52 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:02:52 - mmengine - INFO - Epoch(train) [21][200/940] lr: 6.0000e-02 eta: 11:03:22 time: 0.5674 data_time: 0.0383 memory: 13609 grad_norm: 2.3859 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0735 loss: 2.0735 2022/08/01 11:03:02 - mmengine - INFO - Epoch(train) [21][220/940] lr: 6.0000e-02 eta: 11:03:10 time: 0.5071 data_time: 0.0414 memory: 13609 grad_norm: 2.3860 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.1457 loss: 2.1457 2022/08/01 11:03:12 - mmengine - INFO - Epoch(train) [21][240/940] lr: 6.0000e-02 eta: 11:02:58 time: 0.5113 data_time: 0.0542 memory: 13609 grad_norm: 2.3710 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9335 loss: 1.9335 2022/08/01 11:03:22 - mmengine - INFO - Epoch(train) [21][260/940] lr: 6.0000e-02 eta: 11:02:43 time: 0.4816 data_time: 0.0344 memory: 13609 grad_norm: 2.4482 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1376 loss: 2.1376 2022/08/01 11:03:33 - mmengine - INFO - Epoch(train) [21][280/940] lr: 6.0000e-02 eta: 11:02:37 time: 0.5884 data_time: 0.0388 memory: 13609 grad_norm: 2.4243 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 2.1104 loss: 2.1104 2022/08/01 11:03:44 - mmengine - INFO - Epoch(train) [21][300/940] lr: 6.0000e-02 eta: 11:02:25 time: 0.5081 data_time: 0.0370 memory: 13609 grad_norm: 2.4203 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0477 loss: 2.0477 2022/08/01 11:03:54 - mmengine - INFO - Epoch(train) [21][320/940] lr: 6.0000e-02 eta: 11:02:12 time: 0.5091 data_time: 0.0414 memory: 13609 grad_norm: 2.3773 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 2.1212 loss: 2.1212 2022/08/01 11:04:04 - mmengine - INFO - Epoch(train) [21][340/940] lr: 6.0000e-02 eta: 11:02:02 time: 0.5275 data_time: 0.0382 memory: 13609 grad_norm: 2.4399 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.2238 loss: 2.2238 2022/08/01 11:04:16 - mmengine - INFO - Epoch(train) [21][360/940] lr: 6.0000e-02 eta: 11:01:54 time: 0.5720 data_time: 0.0425 memory: 13609 grad_norm: 2.3804 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0076 loss: 2.0076 2022/08/01 11:04:26 - mmengine - INFO - Epoch(train) [21][380/940] lr: 6.0000e-02 eta: 11:01:44 time: 0.5354 data_time: 0.0372 memory: 13609 grad_norm: 2.3775 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 2.3145 loss: 2.3145 2022/08/01 11:04:36 - mmengine - INFO - Epoch(train) [21][400/940] lr: 6.0000e-02 eta: 11:01:29 time: 0.4771 data_time: 0.0422 memory: 13609 grad_norm: 2.3288 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0392 loss: 2.0392 2022/08/01 11:04:47 - mmengine - INFO - Epoch(train) [21][420/940] lr: 6.0000e-02 eta: 11:01:19 time: 0.5431 data_time: 0.0487 memory: 13609 grad_norm: 2.3753 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.1331 loss: 2.1331 2022/08/01 11:04:57 - mmengine - INFO - Epoch(train) [21][440/940] lr: 6.0000e-02 eta: 11:01:08 time: 0.5199 data_time: 0.0392 memory: 13609 grad_norm: 2.4328 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.2431 loss: 2.2431 2022/08/01 11:05:07 - mmengine - INFO - Epoch(train) [21][460/940] lr: 6.0000e-02 eta: 11:00:54 time: 0.4869 data_time: 0.0435 memory: 13609 grad_norm: 2.3738 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1793 loss: 2.1793 2022/08/01 11:05:19 - mmengine - INFO - Epoch(train) [21][480/940] lr: 6.0000e-02 eta: 11:00:47 time: 0.5822 data_time: 0.0353 memory: 13609 grad_norm: 2.3577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0800 loss: 2.0800 2022/08/01 11:05:29 - mmengine - INFO - Epoch(train) [21][500/940] lr: 6.0000e-02 eta: 11:00:36 time: 0.5235 data_time: 0.0344 memory: 13609 grad_norm: 2.3976 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0142 loss: 2.0142 2022/08/01 11:05:40 - mmengine - INFO - Epoch(train) [21][520/940] lr: 6.0000e-02 eta: 11:00:26 time: 0.5322 data_time: 0.0366 memory: 13609 grad_norm: 2.4026 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0646 loss: 2.0646 2022/08/01 11:05:49 - mmengine - INFO - Epoch(train) [21][540/940] lr: 6.0000e-02 eta: 11:00:10 time: 0.4580 data_time: 0.0452 memory: 13609 grad_norm: 2.4119 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1521 loss: 2.1521 2022/08/01 11:06:00 - mmengine - INFO - Epoch(train) [21][560/940] lr: 6.0000e-02 eta: 11:00:01 time: 0.5550 data_time: 0.0476 memory: 13609 grad_norm: 2.3622 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9647 loss: 1.9647 2022/08/01 11:06:09 - mmengine - INFO - Epoch(train) [21][580/940] lr: 6.0000e-02 eta: 10:59:45 time: 0.4659 data_time: 0.0366 memory: 13609 grad_norm: 2.4127 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1436 loss: 2.1436 2022/08/01 11:06:21 - mmengine - INFO - Epoch(train) [21][600/940] lr: 6.0000e-02 eta: 10:59:39 time: 0.5893 data_time: 0.0343 memory: 13609 grad_norm: 2.4401 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1133 loss: 2.1133 2022/08/01 11:06:31 - mmengine - INFO - Epoch(train) [21][620/940] lr: 6.0000e-02 eta: 10:59:26 time: 0.4963 data_time: 0.0437 memory: 13609 grad_norm: 2.3834 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.1043 loss: 2.1043 2022/08/01 11:06:43 - mmengine - INFO - Epoch(train) [21][640/940] lr: 6.0000e-02 eta: 10:59:22 time: 0.6159 data_time: 0.0343 memory: 13609 grad_norm: 2.3556 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0850 loss: 2.0850 2022/08/01 11:06:52 - mmengine - INFO - Epoch(train) [21][660/940] lr: 6.0000e-02 eta: 10:59:05 time: 0.4480 data_time: 0.0299 memory: 13609 grad_norm: 2.3697 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.1639 loss: 2.1639 2022/08/01 11:07:03 - mmengine - INFO - Epoch(train) [21][680/940] lr: 6.0000e-02 eta: 10:58:55 time: 0.5437 data_time: 0.0334 memory: 13609 grad_norm: 2.4312 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1044 loss: 2.1044 2022/08/01 11:07:13 - mmengine - INFO - Epoch(train) [21][700/940] lr: 6.0000e-02 eta: 10:58:42 time: 0.4949 data_time: 0.0301 memory: 13609 grad_norm: 2.4007 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0513 loss: 2.0513 2022/08/01 11:07:23 - mmengine - INFO - Epoch(train) [21][720/940] lr: 6.0000e-02 eta: 10:58:30 time: 0.5143 data_time: 0.0387 memory: 13609 grad_norm: 2.4415 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1063 loss: 2.1063 2022/08/01 11:07:34 - mmengine - INFO - Epoch(train) [21][740/940] lr: 6.0000e-02 eta: 10:58:19 time: 0.5183 data_time: 0.0351 memory: 13609 grad_norm: 2.4088 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1435 loss: 2.1435 2022/08/01 11:07:45 - mmengine - INFO - Epoch(train) [21][760/940] lr: 6.0000e-02 eta: 10:58:11 time: 0.5663 data_time: 0.0390 memory: 13609 grad_norm: 2.4017 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9788 loss: 1.9788 2022/08/01 11:07:55 - mmengine - INFO - Epoch(train) [21][780/940] lr: 6.0000e-02 eta: 10:57:57 time: 0.4940 data_time: 0.0429 memory: 13609 grad_norm: 2.3889 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9996 loss: 1.9996 2022/08/01 11:08:06 - mmengine - INFO - Epoch(train) [21][800/940] lr: 6.0000e-02 eta: 10:57:47 time: 0.5382 data_time: 0.0349 memory: 13609 grad_norm: 2.3791 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2111 loss: 2.2111 2022/08/01 11:08:15 - mmengine - INFO - Epoch(train) [21][820/940] lr: 6.0000e-02 eta: 10:57:33 time: 0.4863 data_time: 0.0398 memory: 13609 grad_norm: 2.4115 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1796 loss: 2.1796 2022/08/01 11:08:26 - mmengine - INFO - Epoch(train) [21][840/940] lr: 6.0000e-02 eta: 10:57:23 time: 0.5380 data_time: 0.0378 memory: 13609 grad_norm: 2.3451 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.2206 loss: 2.2206 2022/08/01 11:08:37 - mmengine - INFO - Epoch(train) [21][860/940] lr: 6.0000e-02 eta: 10:57:12 time: 0.5181 data_time: 0.0424 memory: 13609 grad_norm: 2.3840 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.3656 loss: 2.3656 2022/08/01 11:08:47 - mmengine - INFO - Epoch(train) [21][880/940] lr: 6.0000e-02 eta: 10:57:02 time: 0.5452 data_time: 0.0492 memory: 13609 grad_norm: 2.3818 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.9982 loss: 1.9982 2022/08/01 11:08:57 - mmengine - INFO - Epoch(train) [21][900/940] lr: 6.0000e-02 eta: 10:56:48 time: 0.4853 data_time: 0.0370 memory: 13609 grad_norm: 2.3854 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0218 loss: 2.0218 2022/08/01 11:09:08 - mmengine - INFO - Epoch(train) [21][920/940] lr: 6.0000e-02 eta: 10:56:38 time: 0.5355 data_time: 0.0397 memory: 13609 grad_norm: 2.3569 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1596 loss: 2.1596 2022/08/01 11:09:16 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:09:16 - mmengine - INFO - Epoch(train) [21][940/940] lr: 6.0000e-02 eta: 10:56:20 time: 0.4288 data_time: 0.0280 memory: 13609 grad_norm: 2.4643 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.2458 loss: 2.2458 2022/08/01 11:09:17 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/01 11:11:04 - mmengine - INFO - Epoch(val) [21][20/78] eta: 0:05:06 time: 5.2836 data_time: 4.5182 memory: 19674 2022/08/01 11:12:16 - mmengine - INFO - Epoch(val) [21][40/78] eta: 0:02:17 time: 3.6196 data_time: 2.8523 memory: 19674 2022/08/01 11:13:52 - mmengine - INFO - Epoch(val) [21][60/78] eta: 0:01:26 time: 4.7856 data_time: 4.0165 memory: 19674 2022/08/01 11:15:04 - mmengine - INFO - Epoch(val) [21][78/78] acc/top1: 0.6002 acc/top5: 0.8341 acc/mean1: 0.6000 2022/08/01 11:15:04 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_14.pth is removed 2022/08/01 11:15:06 - mmengine - INFO - The best checkpoint with 0.6002 acc/top1 at 22 epoch is saved to best_acc/top1_epoch_22.pth. 2022/08/01 11:15:20 - mmengine - INFO - Epoch(train) [22][20/940] lr: 6.0000e-02 eta: 10:56:20 time: 0.6683 data_time: 0.3821 memory: 19674 grad_norm: 2.3335 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1101 loss: 2.1101 2022/08/01 11:15:29 - mmengine - INFO - Epoch(train) [22][40/940] lr: 6.0000e-02 eta: 10:56:06 time: 0.4919 data_time: 0.1703 memory: 13609 grad_norm: 2.3199 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0794 loss: 2.0794 2022/08/01 11:15:40 - mmengine - INFO - Epoch(train) [22][60/940] lr: 6.0000e-02 eta: 10:55:56 time: 0.5340 data_time: 0.0970 memory: 13609 grad_norm: 2.3999 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 2.0546 loss: 2.0546 2022/08/01 11:15:50 - mmengine - INFO - Epoch(train) [22][80/940] lr: 6.0000e-02 eta: 10:55:43 time: 0.4975 data_time: 0.0916 memory: 13609 grad_norm: 2.3214 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2014 loss: 2.2014 2022/08/01 11:16:01 - mmengine - INFO - Epoch(train) [22][100/940] lr: 6.0000e-02 eta: 10:55:33 time: 0.5468 data_time: 0.1258 memory: 13609 grad_norm: 2.3954 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9680 loss: 1.9680 2022/08/01 11:16:11 - mmengine - INFO - Epoch(train) [22][120/940] lr: 6.0000e-02 eta: 10:55:19 time: 0.4813 data_time: 0.1660 memory: 13609 grad_norm: 2.3923 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0157 loss: 2.0157 2022/08/01 11:16:21 - mmengine - INFO - Epoch(train) [22][140/940] lr: 6.0000e-02 eta: 10:55:09 time: 0.5457 data_time: 0.1662 memory: 13609 grad_norm: 2.4351 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9854 loss: 1.9854 2022/08/01 11:16:32 - mmengine - INFO - Epoch(train) [22][160/940] lr: 6.0000e-02 eta: 10:55:00 time: 0.5415 data_time: 0.0730 memory: 13609 grad_norm: 2.4317 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0743 loss: 2.0743 2022/08/01 11:16:43 - mmengine - INFO - Epoch(train) [22][180/940] lr: 6.0000e-02 eta: 10:54:49 time: 0.5226 data_time: 0.0400 memory: 13609 grad_norm: 2.4331 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1257 loss: 2.1257 2022/08/01 11:16:54 - mmengine - INFO - Epoch(train) [22][200/940] lr: 6.0000e-02 eta: 10:54:41 time: 0.5749 data_time: 0.0407 memory: 13609 grad_norm: 2.4173 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0169 loss: 2.0169 2022/08/01 11:17:04 - mmengine - INFO - Epoch(train) [22][220/940] lr: 6.0000e-02 eta: 10:54:28 time: 0.4901 data_time: 0.0388 memory: 13609 grad_norm: 2.3968 top1_acc: 0.2188 top5_acc: 0.7188 loss_cls: 2.1350 loss: 2.1350 2022/08/01 11:17:15 - mmengine - INFO - Epoch(train) [22][240/940] lr: 6.0000e-02 eta: 10:54:18 time: 0.5385 data_time: 0.1188 memory: 13609 grad_norm: 2.4496 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1230 loss: 2.1230 2022/08/01 11:17:26 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:17:26 - mmengine - INFO - Epoch(train) [22][260/940] lr: 6.0000e-02 eta: 10:54:10 time: 0.5647 data_time: 0.2503 memory: 13609 grad_norm: 2.3887 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.1659 loss: 2.1659 2022/08/01 11:17:35 - mmengine - INFO - Epoch(train) [22][280/940] lr: 6.0000e-02 eta: 10:53:54 time: 0.4581 data_time: 0.1164 memory: 13609 grad_norm: 2.3986 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.0980 loss: 2.0980 2022/08/01 11:17:46 - mmengine - INFO - Epoch(train) [22][300/940] lr: 6.0000e-02 eta: 10:53:43 time: 0.5240 data_time: 0.1911 memory: 13609 grad_norm: 2.4071 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0718 loss: 2.0718 2022/08/01 11:17:56 - mmengine - INFO - Epoch(train) [22][320/940] lr: 6.0000e-02 eta: 10:53:31 time: 0.5235 data_time: 0.0929 memory: 13609 grad_norm: 2.4291 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0825 loss: 2.0825 2022/08/01 11:18:06 - mmengine - INFO - Epoch(train) [22][340/940] lr: 6.0000e-02 eta: 10:53:18 time: 0.4926 data_time: 0.0667 memory: 13609 grad_norm: 2.4195 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.1693 loss: 2.1693 2022/08/01 11:18:18 - mmengine - INFO - Epoch(train) [22][360/940] lr: 6.0000e-02 eta: 10:53:10 time: 0.5717 data_time: 0.0606 memory: 13609 grad_norm: 2.3578 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0818 loss: 2.0818 2022/08/01 11:18:28 - mmengine - INFO - Epoch(train) [22][380/940] lr: 6.0000e-02 eta: 10:52:58 time: 0.5017 data_time: 0.0566 memory: 13609 grad_norm: 2.3685 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0923 loss: 2.0923 2022/08/01 11:18:40 - mmengine - INFO - Epoch(train) [22][400/940] lr: 6.0000e-02 eta: 10:52:53 time: 0.6086 data_time: 0.0296 memory: 13609 grad_norm: 2.3986 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0971 loss: 2.0971 2022/08/01 11:18:50 - mmengine - INFO - Epoch(train) [22][420/940] lr: 6.0000e-02 eta: 10:52:40 time: 0.4954 data_time: 0.0436 memory: 13609 grad_norm: 2.4474 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9696 loss: 1.9696 2022/08/01 11:18:59 - mmengine - INFO - Epoch(train) [22][440/940] lr: 6.0000e-02 eta: 10:52:25 time: 0.4728 data_time: 0.0324 memory: 13609 grad_norm: 2.3571 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1238 loss: 2.1238 2022/08/01 11:19:09 - mmengine - INFO - Epoch(train) [22][460/940] lr: 6.0000e-02 eta: 10:52:12 time: 0.4988 data_time: 0.0427 memory: 13609 grad_norm: 2.4483 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.9888 loss: 1.9888 2022/08/01 11:19:20 - mmengine - INFO - Epoch(train) [22][480/940] lr: 6.0000e-02 eta: 10:52:03 time: 0.5524 data_time: 0.0359 memory: 13609 grad_norm: 2.4098 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1596 loss: 2.1596 2022/08/01 11:19:30 - mmengine - INFO - Epoch(train) [22][500/940] lr: 6.0000e-02 eta: 10:51:51 time: 0.5125 data_time: 0.0441 memory: 13609 grad_norm: 2.4278 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0634 loss: 2.0634 2022/08/01 11:19:42 - mmengine - INFO - Epoch(train) [22][520/940] lr: 6.0000e-02 eta: 10:51:44 time: 0.5803 data_time: 0.0373 memory: 13609 grad_norm: 2.3874 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1351 loss: 2.1351 2022/08/01 11:19:52 - mmengine - INFO - Epoch(train) [22][540/940] lr: 6.0000e-02 eta: 10:51:33 time: 0.5235 data_time: 0.0427 memory: 13609 grad_norm: 2.4038 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2037 loss: 2.2037 2022/08/01 11:20:04 - mmengine - INFO - Epoch(train) [22][560/940] lr: 6.0000e-02 eta: 10:51:24 time: 0.5547 data_time: 0.0484 memory: 13609 grad_norm: 2.3814 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9960 loss: 1.9960 2022/08/01 11:20:14 - mmengine - INFO - Epoch(train) [22][580/940] lr: 6.0000e-02 eta: 10:51:13 time: 0.5174 data_time: 0.0333 memory: 13609 grad_norm: 2.3747 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0944 loss: 2.0944 2022/08/01 11:20:24 - mmengine - INFO - Epoch(train) [22][600/940] lr: 6.0000e-02 eta: 10:51:01 time: 0.5086 data_time: 0.0350 memory: 13609 grad_norm: 2.3766 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9875 loss: 1.9875 2022/08/01 11:20:34 - mmengine - INFO - Epoch(train) [22][620/940] lr: 6.0000e-02 eta: 10:50:47 time: 0.4968 data_time: 0.0414 memory: 13609 grad_norm: 2.4312 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0350 loss: 2.0350 2022/08/01 11:20:45 - mmengine - INFO - Epoch(train) [22][640/940] lr: 6.0000e-02 eta: 10:50:37 time: 0.5282 data_time: 0.0298 memory: 13609 grad_norm: 2.4112 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2153 loss: 2.2153 2022/08/01 11:20:55 - mmengine - INFO - Epoch(train) [22][660/940] lr: 6.0000e-02 eta: 10:50:27 time: 0.5394 data_time: 0.0405 memory: 13609 grad_norm: 2.3686 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9844 loss: 1.9844 2022/08/01 11:21:06 - mmengine - INFO - Epoch(train) [22][680/940] lr: 6.0000e-02 eta: 10:50:15 time: 0.5129 data_time: 0.0410 memory: 13609 grad_norm: 2.4242 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.1773 loss: 2.1773 2022/08/01 11:21:16 - mmengine - INFO - Epoch(train) [22][700/940] lr: 6.0000e-02 eta: 10:50:04 time: 0.5224 data_time: 0.0352 memory: 13609 grad_norm: 2.4936 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2318 loss: 2.2318 2022/08/01 11:21:28 - mmengine - INFO - Epoch(train) [22][720/940] lr: 6.0000e-02 eta: 10:49:57 time: 0.5844 data_time: 0.0373 memory: 13609 grad_norm: 2.3686 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1946 loss: 2.1946 2022/08/01 11:21:37 - mmengine - INFO - Epoch(train) [22][740/940] lr: 6.0000e-02 eta: 10:49:41 time: 0.4524 data_time: 0.0422 memory: 13609 grad_norm: 2.3478 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0121 loss: 2.0121 2022/08/01 11:21:48 - mmengine - INFO - Epoch(train) [22][760/940] lr: 6.0000e-02 eta: 10:49:32 time: 0.5519 data_time: 0.0358 memory: 13609 grad_norm: 2.4134 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1315 loss: 2.1315 2022/08/01 11:21:57 - mmengine - INFO - Epoch(train) [22][780/940] lr: 6.0000e-02 eta: 10:49:17 time: 0.4749 data_time: 0.0402 memory: 13609 grad_norm: 2.4707 top1_acc: 0.5312 top5_acc: 0.9688 loss_cls: 2.2263 loss: 2.2263 2022/08/01 11:22:09 - mmengine - INFO - Epoch(train) [22][800/940] lr: 6.0000e-02 eta: 10:49:09 time: 0.5579 data_time: 0.0333 memory: 13609 grad_norm: 2.4193 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0694 loss: 2.0694 2022/08/01 11:22:19 - mmengine - INFO - Epoch(train) [22][820/940] lr: 6.0000e-02 eta: 10:48:57 time: 0.5146 data_time: 0.0413 memory: 13609 grad_norm: 2.3676 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9952 loss: 1.9952 2022/08/01 11:22:30 - mmengine - INFO - Epoch(train) [22][840/940] lr: 6.0000e-02 eta: 10:48:47 time: 0.5363 data_time: 0.0354 memory: 13609 grad_norm: 2.3684 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9366 loss: 1.9366 2022/08/01 11:22:39 - mmengine - INFO - Epoch(train) [22][860/940] lr: 6.0000e-02 eta: 10:48:33 time: 0.4935 data_time: 0.0452 memory: 13609 grad_norm: 2.3510 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.9910 loss: 1.9910 2022/08/01 11:22:50 - mmengine - INFO - Epoch(train) [22][880/940] lr: 6.0000e-02 eta: 10:48:24 time: 0.5438 data_time: 0.0296 memory: 13609 grad_norm: 2.4129 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.1532 loss: 2.1532 2022/08/01 11:23:00 - mmengine - INFO - Epoch(train) [22][900/940] lr: 6.0000e-02 eta: 10:48:11 time: 0.5017 data_time: 0.0835 memory: 13609 grad_norm: 2.3642 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0033 loss: 2.0033 2022/08/01 11:23:11 - mmengine - INFO - Epoch(train) [22][920/940] lr: 6.0000e-02 eta: 10:48:00 time: 0.5258 data_time: 0.0709 memory: 13609 grad_norm: 2.3702 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0452 loss: 2.0452 2022/08/01 11:23:20 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:23:20 - mmengine - INFO - Epoch(train) [22][940/940] lr: 6.0000e-02 eta: 10:47:44 time: 0.4545 data_time: 0.0432 memory: 13609 grad_norm: 2.5095 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.0356 loss: 2.0356 2022/08/01 11:25:06 - mmengine - INFO - Epoch(val) [22][20/78] eta: 0:05:08 time: 5.3238 data_time: 4.5487 memory: 19674 2022/08/01 11:26:20 - mmengine - INFO - Epoch(val) [22][40/78] eta: 0:02:19 time: 3.6608 data_time: 2.8951 memory: 19674 2022/08/01 11:27:55 - mmengine - INFO - Epoch(val) [22][60/78] eta: 0:01:26 time: 4.7803 data_time: 4.0237 memory: 19674 2022/08/01 11:29:06 - mmengine - INFO - Epoch(val) [22][78/78] acc/top1: 0.5926 acc/top5: 0.8248 acc/mean1: 0.5925 2022/08/01 11:29:20 - mmengine - INFO - Epoch(train) [23][20/940] lr: 6.0000e-02 eta: 10:47:45 time: 0.6938 data_time: 0.3854 memory: 19674 grad_norm: 2.3925 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0478 loss: 2.0478 2022/08/01 11:29:30 - mmengine - INFO - Epoch(train) [23][40/940] lr: 6.0000e-02 eta: 10:47:33 time: 0.5045 data_time: 0.1886 memory: 13609 grad_norm: 2.3830 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.0484 loss: 2.0484 2022/08/01 11:29:42 - mmengine - INFO - Epoch(train) [23][60/940] lr: 6.0000e-02 eta: 10:47:25 time: 0.5648 data_time: 0.2577 memory: 13609 grad_norm: 2.3949 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 1.9541 loss: 1.9541 2022/08/01 11:29:51 - mmengine - INFO - Epoch(train) [23][80/940] lr: 6.0000e-02 eta: 10:47:11 time: 0.4872 data_time: 0.1460 memory: 13609 grad_norm: 2.3972 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0752 loss: 2.0752 2022/08/01 11:30:02 - mmengine - INFO - Epoch(train) [23][100/940] lr: 6.0000e-02 eta: 10:47:02 time: 0.5567 data_time: 0.1182 memory: 13609 grad_norm: 2.3871 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.9116 loss: 1.9116 2022/08/01 11:30:13 - mmengine - INFO - Epoch(train) [23][120/940] lr: 6.0000e-02 eta: 10:46:51 time: 0.5180 data_time: 0.0556 memory: 13609 grad_norm: 2.3719 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0392 loss: 2.0392 2022/08/01 11:30:24 - mmengine - INFO - Epoch(train) [23][140/940] lr: 6.0000e-02 eta: 10:46:44 time: 0.5761 data_time: 0.0756 memory: 13609 grad_norm: 2.3975 top1_acc: 0.5000 top5_acc: 0.5938 loss_cls: 2.1898 loss: 2.1898 2022/08/01 11:30:34 - mmengine - INFO - Epoch(train) [23][160/940] lr: 6.0000e-02 eta: 10:46:29 time: 0.4762 data_time: 0.0730 memory: 13609 grad_norm: 2.3860 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.0215 loss: 2.0215 2022/08/01 11:30:46 - mmengine - INFO - Epoch(train) [23][180/940] lr: 6.0000e-02 eta: 10:46:23 time: 0.5889 data_time: 0.0645 memory: 13609 grad_norm: 2.3727 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0884 loss: 2.0884 2022/08/01 11:30:55 - mmengine - INFO - Epoch(train) [23][200/940] lr: 6.0000e-02 eta: 10:46:09 time: 0.4939 data_time: 0.0461 memory: 13609 grad_norm: 2.3734 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1888 loss: 2.1888 2022/08/01 11:31:07 - mmengine - INFO - Epoch(train) [23][220/940] lr: 6.0000e-02 eta: 10:46:02 time: 0.5797 data_time: 0.0330 memory: 13609 grad_norm: 2.4042 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9650 loss: 1.9650 2022/08/01 11:31:17 - mmengine - INFO - Epoch(train) [23][240/940] lr: 6.0000e-02 eta: 10:45:49 time: 0.4950 data_time: 0.0354 memory: 13609 grad_norm: 2.4332 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0805 loss: 2.0805 2022/08/01 11:31:27 - mmengine - INFO - Epoch(train) [23][260/940] lr: 6.0000e-02 eta: 10:45:38 time: 0.5252 data_time: 0.0373 memory: 13609 grad_norm: 2.4031 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.1040 loss: 2.1040 2022/08/01 11:31:37 - mmengine - INFO - Epoch(train) [23][280/940] lr: 6.0000e-02 eta: 10:45:23 time: 0.4600 data_time: 0.0327 memory: 13609 grad_norm: 2.3839 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1480 loss: 2.1480 2022/08/01 11:31:49 - mmengine - INFO - Epoch(train) [23][300/940] lr: 6.0000e-02 eta: 10:45:18 time: 0.6115 data_time: 0.0312 memory: 13609 grad_norm: 2.4116 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1905 loss: 2.1905 2022/08/01 11:31:58 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:31:58 - mmengine - INFO - Epoch(train) [23][320/940] lr: 6.0000e-02 eta: 10:45:02 time: 0.4515 data_time: 0.0393 memory: 13609 grad_norm: 2.3904 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1744 loss: 2.1744 2022/08/01 11:32:08 - mmengine - INFO - Epoch(train) [23][340/940] lr: 6.0000e-02 eta: 10:44:51 time: 0.5272 data_time: 0.0352 memory: 13609 grad_norm: 2.4142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0285 loss: 2.0285 2022/08/01 11:32:20 - mmengine - INFO - Epoch(train) [23][360/940] lr: 6.0000e-02 eta: 10:44:42 time: 0.5537 data_time: 0.0350 memory: 13609 grad_norm: 2.3910 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0632 loss: 2.0632 2022/08/01 11:32:29 - mmengine - INFO - Epoch(train) [23][380/940] lr: 6.0000e-02 eta: 10:44:27 time: 0.4725 data_time: 0.0341 memory: 13609 grad_norm: 2.3961 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0143 loss: 2.0143 2022/08/01 11:32:40 - mmengine - INFO - Epoch(train) [23][400/940] lr: 6.0000e-02 eta: 10:44:19 time: 0.5646 data_time: 0.0372 memory: 13609 grad_norm: 2.3945 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0634 loss: 2.0634 2022/08/01 11:32:50 - mmengine - INFO - Epoch(train) [23][420/940] lr: 6.0000e-02 eta: 10:44:06 time: 0.4974 data_time: 0.0328 memory: 13609 grad_norm: 2.4325 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0213 loss: 2.0213 2022/08/01 11:33:01 - mmengine - INFO - Epoch(train) [23][440/940] lr: 6.0000e-02 eta: 10:43:55 time: 0.5244 data_time: 0.0442 memory: 13609 grad_norm: 2.4398 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1332 loss: 2.1332 2022/08/01 11:33:12 - mmengine - INFO - Epoch(train) [23][460/940] lr: 6.0000e-02 eta: 10:43:48 time: 0.5758 data_time: 0.0363 memory: 13609 grad_norm: 2.4442 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0414 loss: 2.0414 2022/08/01 11:33:22 - mmengine - INFO - Epoch(train) [23][480/940] lr: 6.0000e-02 eta: 10:43:35 time: 0.4909 data_time: 0.0343 memory: 13609 grad_norm: 2.3753 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9755 loss: 1.9755 2022/08/01 11:33:33 - mmengine - INFO - Epoch(train) [23][500/940] lr: 6.0000e-02 eta: 10:43:26 time: 0.5582 data_time: 0.0395 memory: 13609 grad_norm: 2.4206 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0427 loss: 2.0427 2022/08/01 11:33:44 - mmengine - INFO - Epoch(train) [23][520/940] lr: 6.0000e-02 eta: 10:43:14 time: 0.5154 data_time: 0.0365 memory: 13609 grad_norm: 2.4184 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 1.9768 loss: 1.9768 2022/08/01 11:33:55 - mmengine - INFO - Epoch(train) [23][540/940] lr: 6.0000e-02 eta: 10:43:06 time: 0.5697 data_time: 0.0370 memory: 13609 grad_norm: 2.4210 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.9112 loss: 1.9112 2022/08/01 11:34:04 - mmengine - INFO - Epoch(train) [23][560/940] lr: 6.0000e-02 eta: 10:42:52 time: 0.4707 data_time: 0.0332 memory: 13609 grad_norm: 2.4190 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1410 loss: 2.1410 2022/08/01 11:34:15 - mmengine - INFO - Epoch(train) [23][580/940] lr: 6.0000e-02 eta: 10:42:42 time: 0.5368 data_time: 0.0438 memory: 13609 grad_norm: 2.4395 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1980 loss: 2.1980 2022/08/01 11:34:25 - mmengine - INFO - Epoch(train) [23][600/940] lr: 6.0000e-02 eta: 10:42:30 time: 0.5153 data_time: 0.0744 memory: 13609 grad_norm: 2.3665 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1801 loss: 2.1801 2022/08/01 11:34:36 - mmengine - INFO - Epoch(train) [23][620/940] lr: 6.0000e-02 eta: 10:42:20 time: 0.5411 data_time: 0.0897 memory: 13609 grad_norm: 2.3528 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0571 loss: 2.0571 2022/08/01 11:34:46 - mmengine - INFO - Epoch(train) [23][640/940] lr: 6.0000e-02 eta: 10:42:06 time: 0.4743 data_time: 0.1565 memory: 13609 grad_norm: 2.3884 top1_acc: 0.2812 top5_acc: 0.5000 loss_cls: 2.1180 loss: 2.1180 2022/08/01 11:34:57 - mmengine - INFO - Epoch(train) [23][660/940] lr: 6.0000e-02 eta: 10:41:56 time: 0.5439 data_time: 0.1863 memory: 13609 grad_norm: 2.4225 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1844 loss: 2.1844 2022/08/01 11:35:06 - mmengine - INFO - Epoch(train) [23][680/940] lr: 6.0000e-02 eta: 10:41:43 time: 0.4932 data_time: 0.1116 memory: 13609 grad_norm: 2.4240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0841 loss: 2.0841 2022/08/01 11:35:17 - mmengine - INFO - Epoch(train) [23][700/940] lr: 6.0000e-02 eta: 10:41:34 time: 0.5474 data_time: 0.0997 memory: 13609 grad_norm: 2.4137 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1025 loss: 2.1025 2022/08/01 11:35:29 - mmengine - INFO - Epoch(train) [23][720/940] lr: 6.0000e-02 eta: 10:41:25 time: 0.5654 data_time: 0.2085 memory: 13609 grad_norm: 2.4491 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0627 loss: 2.0627 2022/08/01 11:35:38 - mmengine - INFO - Epoch(train) [23][740/940] lr: 6.0000e-02 eta: 10:41:12 time: 0.4852 data_time: 0.1514 memory: 13609 grad_norm: 2.4288 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.2495 loss: 2.2495 2022/08/01 11:35:50 - mmengine - INFO - Epoch(train) [23][760/940] lr: 6.0000e-02 eta: 10:41:04 time: 0.5718 data_time: 0.2333 memory: 13609 grad_norm: 2.3704 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.9878 loss: 1.9878 2022/08/01 11:35:59 - mmengine - INFO - Epoch(train) [23][780/940] lr: 6.0000e-02 eta: 10:40:47 time: 0.4319 data_time: 0.1216 memory: 13609 grad_norm: 2.3541 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.1439 loss: 2.1439 2022/08/01 11:36:10 - mmengine - INFO - Epoch(train) [23][800/940] lr: 6.0000e-02 eta: 10:40:40 time: 0.5903 data_time: 0.2667 memory: 13609 grad_norm: 2.4261 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1946 loss: 2.1946 2022/08/01 11:36:20 - mmengine - INFO - Epoch(train) [23][820/940] lr: 6.0000e-02 eta: 10:40:25 time: 0.4637 data_time: 0.1473 memory: 13609 grad_norm: 2.4303 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9907 loss: 1.9907 2022/08/01 11:36:31 - mmengine - INFO - Epoch(train) [23][840/940] lr: 6.0000e-02 eta: 10:40:16 time: 0.5463 data_time: 0.1972 memory: 13609 grad_norm: 2.3709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0401 loss: 2.0401 2022/08/01 11:36:41 - mmengine - INFO - Epoch(train) [23][860/940] lr: 6.0000e-02 eta: 10:40:04 time: 0.5099 data_time: 0.1409 memory: 13609 grad_norm: 2.4300 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1404 loss: 2.1404 2022/08/01 11:36:52 - mmengine - INFO - Epoch(train) [23][880/940] lr: 6.0000e-02 eta: 10:39:54 time: 0.5471 data_time: 0.1531 memory: 13609 grad_norm: 2.3694 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1675 loss: 2.1675 2022/08/01 11:37:02 - mmengine - INFO - Epoch(train) [23][900/940] lr: 6.0000e-02 eta: 10:39:43 time: 0.5257 data_time: 0.1962 memory: 13609 grad_norm: 2.4224 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1130 loss: 2.1130 2022/08/01 11:37:13 - mmengine - INFO - Epoch(train) [23][920/940] lr: 6.0000e-02 eta: 10:39:33 time: 0.5405 data_time: 0.2329 memory: 13609 grad_norm: 2.4020 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0915 loss: 2.0915 2022/08/01 11:37:22 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:37:22 - mmengine - INFO - Epoch(train) [23][940/940] lr: 6.0000e-02 eta: 10:39:17 time: 0.4411 data_time: 0.1626 memory: 13609 grad_norm: 2.5129 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1810 loss: 2.1810 2022/08/01 11:39:08 - mmengine - INFO - Epoch(val) [23][20/78] eta: 0:05:07 time: 5.2984 data_time: 4.5354 memory: 19674 2022/08/01 11:40:20 - mmengine - INFO - Epoch(val) [23][40/78] eta: 0:02:16 time: 3.6024 data_time: 2.8424 memory: 19674 2022/08/01 11:41:56 - mmengine - INFO - Epoch(val) [23][60/78] eta: 0:01:26 time: 4.8150 data_time: 4.0520 memory: 19674 2022/08/01 11:43:08 - mmengine - INFO - Epoch(val) [23][78/78] acc/top1: 0.5721 acc/top5: 0.8044 acc/mean1: 0.5719 2022/08/01 11:43:23 - mmengine - INFO - Epoch(train) [24][20/940] lr: 6.0000e-02 eta: 10:39:19 time: 0.7192 data_time: 0.2730 memory: 19674 grad_norm: 2.3605 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0453 loss: 2.0453 2022/08/01 11:43:32 - mmengine - INFO - Epoch(train) [24][40/940] lr: 6.0000e-02 eta: 10:39:05 time: 0.4866 data_time: 0.0364 memory: 13609 grad_norm: 2.3963 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0589 loss: 2.0589 2022/08/01 11:43:43 - mmengine - INFO - Epoch(train) [24][60/940] lr: 6.0000e-02 eta: 10:38:57 time: 0.5620 data_time: 0.0374 memory: 13609 grad_norm: 2.3790 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.1318 loss: 2.1318 2022/08/01 11:43:53 - mmengine - INFO - Epoch(train) [24][80/940] lr: 6.0000e-02 eta: 10:38:42 time: 0.4727 data_time: 0.0364 memory: 13609 grad_norm: 2.4313 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.0615 loss: 2.0615 2022/08/01 11:44:05 - mmengine - INFO - Epoch(train) [24][100/940] lr: 6.0000e-02 eta: 10:38:38 time: 0.6163 data_time: 0.0382 memory: 13609 grad_norm: 2.3938 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1690 loss: 2.1690 2022/08/01 11:44:15 - mmengine - INFO - Epoch(train) [24][120/940] lr: 6.0000e-02 eta: 10:38:24 time: 0.4830 data_time: 0.0312 memory: 13609 grad_norm: 2.4004 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1012 loss: 2.1012 2022/08/01 11:44:26 - mmengine - INFO - Epoch(train) [24][140/940] lr: 6.0000e-02 eta: 10:38:14 time: 0.5389 data_time: 0.0452 memory: 13609 grad_norm: 2.3775 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0770 loss: 2.0770 2022/08/01 11:44:35 - mmengine - INFO - Epoch(train) [24][160/940] lr: 6.0000e-02 eta: 10:37:59 time: 0.4719 data_time: 0.0465 memory: 13609 grad_norm: 2.4212 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9524 loss: 1.9524 2022/08/01 11:44:48 - mmengine - INFO - Epoch(train) [24][180/940] lr: 6.0000e-02 eta: 10:37:55 time: 0.6290 data_time: 0.0486 memory: 13609 grad_norm: 2.3972 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1401 loss: 2.1401 2022/08/01 11:44:57 - mmengine - INFO - Epoch(train) [24][200/940] lr: 6.0000e-02 eta: 10:37:41 time: 0.4809 data_time: 0.0291 memory: 13609 grad_norm: 2.3988 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2220 loss: 2.2220 2022/08/01 11:45:07 - mmengine - INFO - Epoch(train) [24][220/940] lr: 6.0000e-02 eta: 10:37:29 time: 0.4986 data_time: 0.0439 memory: 13609 grad_norm: 2.3454 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0151 loss: 2.0151 2022/08/01 11:45:17 - mmengine - INFO - Epoch(train) [24][240/940] lr: 6.0000e-02 eta: 10:37:15 time: 0.4878 data_time: 0.0334 memory: 13609 grad_norm: 2.3711 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9578 loss: 1.9578 2022/08/01 11:45:27 - mmengine - INFO - Epoch(train) [24][260/940] lr: 6.0000e-02 eta: 10:37:04 time: 0.5188 data_time: 0.0443 memory: 13609 grad_norm: 2.4274 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1421 loss: 2.1421 2022/08/01 11:45:37 - mmengine - INFO - Epoch(train) [24][280/940] lr: 6.0000e-02 eta: 10:36:51 time: 0.4883 data_time: 0.0281 memory: 13609 grad_norm: 2.3921 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0251 loss: 2.0251 2022/08/01 11:45:50 - mmengine - INFO - Epoch(train) [24][300/940] lr: 6.0000e-02 eta: 10:36:48 time: 0.6480 data_time: 0.0354 memory: 13609 grad_norm: 2.3576 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.1159 loss: 2.1159 2022/08/01 11:45:59 - mmengine - INFO - Epoch(train) [24][320/940] lr: 6.0000e-02 eta: 10:36:32 time: 0.4489 data_time: 0.0300 memory: 13609 grad_norm: 2.3782 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.9986 loss: 1.9986 2022/08/01 11:46:11 - mmengine - INFO - Epoch(train) [24][340/940] lr: 6.0000e-02 eta: 10:36:27 time: 0.6116 data_time: 0.0341 memory: 13609 grad_norm: 2.4078 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 1.9562 loss: 1.9562 2022/08/01 11:46:21 - mmengine - INFO - Epoch(train) [24][360/940] lr: 6.0000e-02 eta: 10:36:12 time: 0.4667 data_time: 0.0345 memory: 13609 grad_norm: 2.4286 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.1018 loss: 2.1018 2022/08/01 11:46:31 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:46:31 - mmengine - INFO - Epoch(train) [24][380/940] lr: 6.0000e-02 eta: 10:36:01 time: 0.5301 data_time: 0.0394 memory: 13609 grad_norm: 2.4115 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.0300 loss: 2.0300 2022/08/01 11:46:42 - mmengine - INFO - Epoch(train) [24][400/940] lr: 6.0000e-02 eta: 10:35:51 time: 0.5380 data_time: 0.0357 memory: 13609 grad_norm: 2.4293 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1476 loss: 2.1476 2022/08/01 11:46:53 - mmengine - INFO - Epoch(train) [24][420/940] lr: 6.0000e-02 eta: 10:35:40 time: 0.5203 data_time: 0.0377 memory: 13609 grad_norm: 2.4119 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1199 loss: 2.1199 2022/08/01 11:47:03 - mmengine - INFO - Epoch(train) [24][440/940] lr: 6.0000e-02 eta: 10:35:29 time: 0.5294 data_time: 0.0509 memory: 13609 grad_norm: 2.4292 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9649 loss: 1.9649 2022/08/01 11:47:13 - mmengine - INFO - Epoch(train) [24][460/940] lr: 6.0000e-02 eta: 10:35:18 time: 0.5188 data_time: 0.0503 memory: 13609 grad_norm: 2.4311 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1409 loss: 2.1409 2022/08/01 11:47:24 - mmengine - INFO - Epoch(train) [24][480/940] lr: 6.0000e-02 eta: 10:35:08 time: 0.5466 data_time: 0.0375 memory: 13609 grad_norm: 2.4135 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0329 loss: 2.0329 2022/08/01 11:47:34 - mmengine - INFO - Epoch(train) [24][500/940] lr: 6.0000e-02 eta: 10:34:54 time: 0.4761 data_time: 0.0331 memory: 13609 grad_norm: 2.4254 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0343 loss: 2.0343 2022/08/01 11:47:45 - mmengine - INFO - Epoch(train) [24][520/940] lr: 6.0000e-02 eta: 10:34:46 time: 0.5660 data_time: 0.0446 memory: 13609 grad_norm: 2.4289 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0512 loss: 2.0512 2022/08/01 11:47:55 - mmengine - INFO - Epoch(train) [24][540/940] lr: 6.0000e-02 eta: 10:34:34 time: 0.5064 data_time: 0.0327 memory: 13609 grad_norm: 2.3913 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1209 loss: 2.1209 2022/08/01 11:48:06 - mmengine - INFO - Epoch(train) [24][560/940] lr: 6.0000e-02 eta: 10:34:25 time: 0.5498 data_time: 0.0351 memory: 13609 grad_norm: 2.4093 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.0855 loss: 2.0855 2022/08/01 11:48:16 - mmengine - INFO - Epoch(train) [24][580/940] lr: 6.0000e-02 eta: 10:34:10 time: 0.4643 data_time: 0.0352 memory: 13609 grad_norm: 2.4096 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.1350 loss: 2.1350 2022/08/01 11:48:27 - mmengine - INFO - Epoch(train) [24][600/940] lr: 6.0000e-02 eta: 10:34:02 time: 0.5774 data_time: 0.0345 memory: 13609 grad_norm: 2.3901 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0594 loss: 2.0594 2022/08/01 11:48:37 - mmengine - INFO - Epoch(train) [24][620/940] lr: 6.0000e-02 eta: 10:33:48 time: 0.4699 data_time: 0.0342 memory: 13609 grad_norm: 2.4046 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 2.0130 loss: 2.0130 2022/08/01 11:48:48 - mmengine - INFO - Epoch(train) [24][640/940] lr: 6.0000e-02 eta: 10:33:41 time: 0.5829 data_time: 0.0332 memory: 13609 grad_norm: 2.4093 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.2016 loss: 2.2016 2022/08/01 11:48:58 - mmengine - INFO - Epoch(train) [24][660/940] lr: 6.0000e-02 eta: 10:33:27 time: 0.4904 data_time: 0.0471 memory: 13609 grad_norm: 2.4558 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1137 loss: 2.1137 2022/08/01 11:49:09 - mmengine - INFO - Epoch(train) [24][680/940] lr: 6.0000e-02 eta: 10:33:17 time: 0.5280 data_time: 0.0332 memory: 13609 grad_norm: 2.4510 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0115 loss: 2.0115 2022/08/01 11:49:19 - mmengine - INFO - Epoch(train) [24][700/940] lr: 6.0000e-02 eta: 10:33:06 time: 0.5275 data_time: 0.0382 memory: 13609 grad_norm: 2.3622 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0564 loss: 2.0564 2022/08/01 11:49:30 - mmengine - INFO - Epoch(train) [24][720/940] lr: 6.0000e-02 eta: 10:32:56 time: 0.5341 data_time: 0.0396 memory: 13609 grad_norm: 2.4176 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1184 loss: 2.1184 2022/08/01 11:49:40 - mmengine - INFO - Epoch(train) [24][740/940] lr: 6.0000e-02 eta: 10:32:43 time: 0.4978 data_time: 0.0416 memory: 13609 grad_norm: 2.4119 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.0875 loss: 2.0875 2022/08/01 11:49:50 - mmengine - INFO - Epoch(train) [24][760/940] lr: 6.0000e-02 eta: 10:32:32 time: 0.5292 data_time: 0.1008 memory: 13609 grad_norm: 2.4170 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9864 loss: 1.9864 2022/08/01 11:50:01 - mmengine - INFO - Epoch(train) [24][780/940] lr: 6.0000e-02 eta: 10:32:21 time: 0.5169 data_time: 0.0435 memory: 13609 grad_norm: 2.4225 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.1147 loss: 2.1147 2022/08/01 11:50:12 - mmengine - INFO - Epoch(train) [24][800/940] lr: 6.0000e-02 eta: 10:32:13 time: 0.5672 data_time: 0.0721 memory: 13609 grad_norm: 2.3998 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0514 loss: 2.0514 2022/08/01 11:50:22 - mmengine - INFO - Epoch(train) [24][820/940] lr: 6.0000e-02 eta: 10:32:02 time: 0.5236 data_time: 0.0472 memory: 13609 grad_norm: 2.4152 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9911 loss: 1.9911 2022/08/01 11:50:33 - mmengine - INFO - Epoch(train) [24][840/940] lr: 6.0000e-02 eta: 10:31:50 time: 0.5053 data_time: 0.0337 memory: 13609 grad_norm: 2.4097 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1504 loss: 2.1504 2022/08/01 11:50:43 - mmengine - INFO - Epoch(train) [24][860/940] lr: 6.0000e-02 eta: 10:31:37 time: 0.5045 data_time: 0.0372 memory: 13609 grad_norm: 2.3710 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0026 loss: 2.0026 2022/08/01 11:50:53 - mmengine - INFO - Epoch(train) [24][880/940] lr: 6.0000e-02 eta: 10:31:27 time: 0.5339 data_time: 0.0703 memory: 13609 grad_norm: 2.4072 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9885 loss: 1.9885 2022/08/01 11:51:04 - mmengine - INFO - Epoch(train) [24][900/940] lr: 6.0000e-02 eta: 10:31:17 time: 0.5372 data_time: 0.0324 memory: 13609 grad_norm: 2.4319 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1860 loss: 2.1860 2022/08/01 11:51:14 - mmengine - INFO - Epoch(train) [24][920/940] lr: 6.0000e-02 eta: 10:31:04 time: 0.4888 data_time: 0.0474 memory: 13609 grad_norm: 2.3845 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0410 loss: 2.0410 2022/08/01 11:51:22 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 11:51:22 - mmengine - INFO - Epoch(train) [24][940/940] lr: 6.0000e-02 eta: 10:30:46 time: 0.4228 data_time: 0.0281 memory: 13609 grad_norm: 2.5396 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.1542 loss: 2.1542 2022/08/01 11:51:23 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/01 11:53:09 - mmengine - INFO - Epoch(val) [24][20/78] eta: 0:05:05 time: 5.2722 data_time: 4.5008 memory: 19674 2022/08/01 11:54:22 - mmengine - INFO - Epoch(val) [24][40/78] eta: 0:02:17 time: 3.6201 data_time: 2.8619 memory: 19674 2022/08/01 11:55:57 - mmengine - INFO - Epoch(val) [24][60/78] eta: 0:01:26 time: 4.7821 data_time: 4.0302 memory: 19674 2022/08/01 11:57:09 - mmengine - INFO - Epoch(val) [24][78/78] acc/top1: 0.5831 acc/top5: 0.8138 acc/mean1: 0.5829 2022/08/01 11:57:23 - mmengine - INFO - Epoch(train) [25][20/940] lr: 6.0000e-02 eta: 10:30:46 time: 0.6977 data_time: 0.3550 memory: 19674 grad_norm: 2.4166 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0826 loss: 2.0826 2022/08/01 11:57:33 - mmengine - INFO - Epoch(train) [25][40/940] lr: 6.0000e-02 eta: 10:30:33 time: 0.4825 data_time: 0.1408 memory: 13609 grad_norm: 2.3767 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9799 loss: 1.9799 2022/08/01 11:57:45 - mmengine - INFO - Epoch(train) [25][60/940] lr: 6.0000e-02 eta: 10:30:27 time: 0.6005 data_time: 0.2755 memory: 13609 grad_norm: 2.3498 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9492 loss: 1.9492 2022/08/01 11:57:54 - mmengine - INFO - Epoch(train) [25][80/940] lr: 6.0000e-02 eta: 10:30:12 time: 0.4747 data_time: 0.1763 memory: 13609 grad_norm: 2.3852 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.1667 loss: 2.1667 2022/08/01 11:58:06 - mmengine - INFO - Epoch(train) [25][100/940] lr: 6.0000e-02 eta: 10:30:05 time: 0.5718 data_time: 0.2503 memory: 13609 grad_norm: 2.3250 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.9396 loss: 1.9396 2022/08/01 11:58:15 - mmengine - INFO - Epoch(train) [25][120/940] lr: 6.0000e-02 eta: 10:29:51 time: 0.4769 data_time: 0.1511 memory: 13609 grad_norm: 2.4531 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.0712 loss: 2.0712 2022/08/01 11:58:27 - mmengine - INFO - Epoch(train) [25][140/940] lr: 6.0000e-02 eta: 10:29:43 time: 0.5724 data_time: 0.1595 memory: 13609 grad_norm: 2.3914 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0756 loss: 2.0756 2022/08/01 11:58:36 - mmengine - INFO - Epoch(train) [25][160/940] lr: 6.0000e-02 eta: 10:29:27 time: 0.4531 data_time: 0.0409 memory: 13609 grad_norm: 2.4422 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1634 loss: 2.1634 2022/08/01 11:58:48 - mmengine - INFO - Epoch(train) [25][180/940] lr: 6.0000e-02 eta: 10:29:20 time: 0.5881 data_time: 0.2468 memory: 13609 grad_norm: 2.4395 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2472 loss: 2.2472 2022/08/01 11:58:57 - mmengine - INFO - Epoch(train) [25][200/940] lr: 6.0000e-02 eta: 10:29:05 time: 0.4566 data_time: 0.1244 memory: 13609 grad_norm: 2.3925 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1467 loss: 2.1467 2022/08/01 11:59:09 - mmengine - INFO - Epoch(train) [25][220/940] lr: 6.0000e-02 eta: 10:28:58 time: 0.5851 data_time: 0.2357 memory: 13609 grad_norm: 2.4184 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9120 loss: 1.9120 2022/08/01 11:59:18 - mmengine - INFO - Epoch(train) [25][240/940] lr: 6.0000e-02 eta: 10:28:45 time: 0.4966 data_time: 0.1310 memory: 13609 grad_norm: 2.4400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9921 loss: 1.9921 2022/08/01 11:59:30 - mmengine - INFO - Epoch(train) [25][260/940] lr: 6.0000e-02 eta: 10:28:39 time: 0.5930 data_time: 0.0532 memory: 13609 grad_norm: 2.4341 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1025 loss: 2.1025 2022/08/01 11:59:39 - mmengine - INFO - Epoch(train) [25][280/940] lr: 6.0000e-02 eta: 10:28:23 time: 0.4443 data_time: 0.0409 memory: 13609 grad_norm: 2.4201 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1534 loss: 2.1534 2022/08/01 11:59:51 - mmengine - INFO - Epoch(train) [25][300/940] lr: 6.0000e-02 eta: 10:28:14 time: 0.5639 data_time: 0.0345 memory: 13609 grad_norm: 2.4246 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1006 loss: 2.1006 2022/08/01 12:00:01 - mmengine - INFO - Epoch(train) [25][320/940] lr: 6.0000e-02 eta: 10:28:03 time: 0.5220 data_time: 0.0308 memory: 13609 grad_norm: 2.3736 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9602 loss: 1.9602 2022/08/01 12:00:14 - mmengine - INFO - Epoch(train) [25][340/940] lr: 6.0000e-02 eta: 10:28:00 time: 0.6468 data_time: 0.0333 memory: 13609 grad_norm: 2.3796 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.9581 loss: 1.9581 2022/08/01 12:00:25 - mmengine - INFO - Epoch(train) [25][360/940] lr: 6.0000e-02 eta: 10:27:50 time: 0.5426 data_time: 0.0508 memory: 13609 grad_norm: 2.3686 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1635 loss: 2.1635 2022/08/01 12:00:35 - mmengine - INFO - Epoch(train) [25][380/940] lr: 6.0000e-02 eta: 10:27:39 time: 0.5189 data_time: 0.0366 memory: 13609 grad_norm: 2.4331 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9676 loss: 1.9676 2022/08/01 12:00:44 - mmengine - INFO - Epoch(train) [25][400/940] lr: 6.0000e-02 eta: 10:27:24 time: 0.4564 data_time: 0.0448 memory: 13609 grad_norm: 2.4321 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.9940 loss: 1.9940 2022/08/01 12:00:56 - mmengine - INFO - Epoch(train) [25][420/940] lr: 6.0000e-02 eta: 10:27:15 time: 0.5616 data_time: 0.0381 memory: 13609 grad_norm: 2.3929 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9436 loss: 1.9436 2022/08/01 12:01:06 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:01:06 - mmengine - INFO - Epoch(train) [25][440/940] lr: 6.0000e-02 eta: 10:27:03 time: 0.5087 data_time: 0.0326 memory: 13609 grad_norm: 2.4074 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.1957 loss: 2.1957 2022/08/01 12:01:16 - mmengine - INFO - Epoch(train) [25][460/940] lr: 6.0000e-02 eta: 10:26:52 time: 0.5267 data_time: 0.0420 memory: 13609 grad_norm: 2.3987 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.9884 loss: 1.9884 2022/08/01 12:01:27 - mmengine - INFO - Epoch(train) [25][480/940] lr: 6.0000e-02 eta: 10:26:42 time: 0.5356 data_time: 0.0443 memory: 13609 grad_norm: 2.4146 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9999 loss: 1.9999 2022/08/01 12:01:38 - mmengine - INFO - Epoch(train) [25][500/940] lr: 6.0000e-02 eta: 10:26:31 time: 0.5316 data_time: 0.0365 memory: 13609 grad_norm: 2.3762 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.1217 loss: 2.1217 2022/08/01 12:01:48 - mmengine - INFO - Epoch(train) [25][520/940] lr: 6.0000e-02 eta: 10:26:19 time: 0.5014 data_time: 0.0292 memory: 13609 grad_norm: 2.4044 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1373 loss: 2.1373 2022/08/01 12:02:00 - mmengine - INFO - Epoch(train) [25][540/940] lr: 6.0000e-02 eta: 10:26:13 time: 0.5976 data_time: 0.0380 memory: 13609 grad_norm: 2.4368 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1602 loss: 2.1602 2022/08/01 12:02:09 - mmengine - INFO - Epoch(train) [25][560/940] lr: 6.0000e-02 eta: 10:25:59 time: 0.4754 data_time: 0.0517 memory: 13609 grad_norm: 2.4388 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/08/01 12:02:22 - mmengine - INFO - Epoch(train) [25][580/940] lr: 6.0000e-02 eta: 10:25:54 time: 0.6220 data_time: 0.0377 memory: 13609 grad_norm: 2.4399 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2018 loss: 2.2018 2022/08/01 12:02:31 - mmengine - INFO - Epoch(train) [25][600/940] lr: 6.0000e-02 eta: 10:25:40 time: 0.4780 data_time: 0.0334 memory: 13609 grad_norm: 2.3927 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0843 loss: 2.0843 2022/08/01 12:02:42 - mmengine - INFO - Epoch(train) [25][620/940] lr: 6.0000e-02 eta: 10:25:31 time: 0.5580 data_time: 0.0404 memory: 13609 grad_norm: 2.3624 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9333 loss: 1.9333 2022/08/01 12:02:52 - mmengine - INFO - Epoch(train) [25][640/940] lr: 6.0000e-02 eta: 10:25:17 time: 0.4790 data_time: 0.0343 memory: 13609 grad_norm: 2.4298 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.0782 loss: 2.0782 2022/08/01 12:03:04 - mmengine - INFO - Epoch(train) [25][660/940] lr: 6.0000e-02 eta: 10:25:10 time: 0.5857 data_time: 0.0399 memory: 13609 grad_norm: 2.4319 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0289 loss: 2.0289 2022/08/01 12:03:13 - mmengine - INFO - Epoch(train) [25][680/940] lr: 6.0000e-02 eta: 10:24:57 time: 0.4844 data_time: 0.0328 memory: 13609 grad_norm: 2.4442 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2127 loss: 2.2127 2022/08/01 12:03:24 - mmengine - INFO - Epoch(train) [25][700/940] lr: 6.0000e-02 eta: 10:24:45 time: 0.5084 data_time: 0.0310 memory: 13609 grad_norm: 2.4445 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9331 loss: 1.9331 2022/08/01 12:03:35 - mmengine - INFO - Epoch(train) [25][720/940] lr: 6.0000e-02 eta: 10:24:36 time: 0.5568 data_time: 0.0499 memory: 13609 grad_norm: 2.4597 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.2306 loss: 2.2306 2022/08/01 12:03:45 - mmengine - INFO - Epoch(train) [25][740/940] lr: 6.0000e-02 eta: 10:24:24 time: 0.5070 data_time: 0.0365 memory: 13609 grad_norm: 2.4173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1111 loss: 2.1111 2022/08/01 12:03:55 - mmengine - INFO - Epoch(train) [25][760/940] lr: 6.0000e-02 eta: 10:24:14 time: 0.5370 data_time: 0.0439 memory: 13609 grad_norm: 2.3883 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1139 loss: 2.1139 2022/08/01 12:04:05 - mmengine - INFO - Epoch(train) [25][780/940] lr: 6.0000e-02 eta: 10:24:01 time: 0.4868 data_time: 0.0358 memory: 13609 grad_norm: 2.4318 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0933 loss: 2.0933 2022/08/01 12:04:16 - mmengine - INFO - Epoch(train) [25][800/940] lr: 6.0000e-02 eta: 10:23:51 time: 0.5403 data_time: 0.1042 memory: 13609 grad_norm: 2.4114 top1_acc: 0.2812 top5_acc: 0.6250 loss_cls: 2.0690 loss: 2.0690 2022/08/01 12:04:26 - mmengine - INFO - Epoch(train) [25][820/940] lr: 6.0000e-02 eta: 10:23:38 time: 0.4906 data_time: 0.0314 memory: 13609 grad_norm: 2.3826 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0677 loss: 2.0677 2022/08/01 12:04:36 - mmengine - INFO - Epoch(train) [25][840/940] lr: 6.0000e-02 eta: 10:23:25 time: 0.4958 data_time: 0.0369 memory: 13609 grad_norm: 2.3594 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.9145 loss: 1.9145 2022/08/01 12:04:46 - mmengine - INFO - Epoch(train) [25][860/940] lr: 6.0000e-02 eta: 10:23:15 time: 0.5326 data_time: 0.0860 memory: 13609 grad_norm: 2.3760 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0399 loss: 2.0399 2022/08/01 12:04:58 - mmengine - INFO - Epoch(train) [25][880/940] lr: 6.0000e-02 eta: 10:23:06 time: 0.5689 data_time: 0.0407 memory: 13609 grad_norm: 2.4001 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1748 loss: 2.1748 2022/08/01 12:05:08 - mmengine - INFO - Epoch(train) [25][900/940] lr: 6.0000e-02 eta: 10:22:54 time: 0.5011 data_time: 0.0493 memory: 13609 grad_norm: 2.4186 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/08/01 12:05:20 - mmengine - INFO - Epoch(train) [25][920/940] lr: 6.0000e-02 eta: 10:22:47 time: 0.5895 data_time: 0.0255 memory: 13609 grad_norm: 2.4135 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.0493 loss: 2.0493 2022/08/01 12:05:27 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:05:28 - mmengine - INFO - Epoch(train) [25][940/940] lr: 6.0000e-02 eta: 10:22:28 time: 0.3968 data_time: 0.0267 memory: 13609 grad_norm: 2.5225 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 2.0455 loss: 2.0455 2022/08/01 12:07:13 - mmengine - INFO - Epoch(val) [25][20/78] eta: 0:05:06 time: 5.2840 data_time: 4.5148 memory: 19674 2022/08/01 12:08:25 - mmengine - INFO - Epoch(val) [25][40/78] eta: 0:02:16 time: 3.5832 data_time: 2.8106 memory: 19674 2022/08/01 12:10:01 - mmengine - INFO - Epoch(val) [25][60/78] eta: 0:01:26 time: 4.7949 data_time: 4.0412 memory: 19674 2022/08/01 12:11:14 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.5858 acc/top5: 0.8141 acc/mean1: 0.5856 2022/08/01 12:11:28 - mmengine - INFO - Epoch(train) [26][20/940] lr: 6.0000e-02 eta: 10:22:28 time: 0.6987 data_time: 0.3324 memory: 19674 grad_norm: 2.3476 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.0869 loss: 2.0869 2022/08/01 12:11:38 - mmengine - INFO - Epoch(train) [26][40/940] lr: 6.0000e-02 eta: 10:22:16 time: 0.5094 data_time: 0.1462 memory: 13609 grad_norm: 2.3853 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0311 loss: 2.0311 2022/08/01 12:11:49 - mmengine - INFO - Epoch(train) [26][60/940] lr: 6.0000e-02 eta: 10:22:07 time: 0.5623 data_time: 0.2435 memory: 13609 grad_norm: 2.3780 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0879 loss: 2.0879 2022/08/01 12:12:00 - mmengine - INFO - Epoch(train) [26][80/940] lr: 6.0000e-02 eta: 10:21:57 time: 0.5285 data_time: 0.2471 memory: 13609 grad_norm: 2.3922 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9797 loss: 1.9797 2022/08/01 12:12:11 - mmengine - INFO - Epoch(train) [26][100/940] lr: 6.0000e-02 eta: 10:21:48 time: 0.5565 data_time: 0.2601 memory: 13609 grad_norm: 2.4382 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1472 loss: 2.1472 2022/08/01 12:12:21 - mmengine - INFO - Epoch(train) [26][120/940] lr: 6.0000e-02 eta: 10:21:35 time: 0.4886 data_time: 0.1967 memory: 13609 grad_norm: 2.3635 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0409 loss: 2.0409 2022/08/01 12:12:33 - mmengine - INFO - Epoch(train) [26][140/940] lr: 6.0000e-02 eta: 10:21:29 time: 0.6045 data_time: 0.2927 memory: 13609 grad_norm: 2.3680 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0668 loss: 2.0668 2022/08/01 12:12:41 - mmengine - INFO - Epoch(train) [26][160/940] lr: 6.0000e-02 eta: 10:21:11 time: 0.4169 data_time: 0.1084 memory: 13609 grad_norm: 2.4155 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 2.0964 loss: 2.0964 2022/08/01 12:12:52 - mmengine - INFO - Epoch(train) [26][180/940] lr: 6.0000e-02 eta: 10:21:01 time: 0.5348 data_time: 0.1877 memory: 13609 grad_norm: 2.4286 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1056 loss: 2.1056 2022/08/01 12:13:02 - mmengine - INFO - Epoch(train) [26][200/940] lr: 6.0000e-02 eta: 10:20:49 time: 0.5163 data_time: 0.0800 memory: 13609 grad_norm: 2.4069 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1633 loss: 2.1633 2022/08/01 12:13:14 - mmengine - INFO - Epoch(train) [26][220/940] lr: 6.0000e-02 eta: 10:20:42 time: 0.5824 data_time: 0.0540 memory: 13609 grad_norm: 2.4611 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0867 loss: 2.0867 2022/08/01 12:13:24 - mmengine - INFO - Epoch(train) [26][240/940] lr: 6.0000e-02 eta: 10:20:28 time: 0.4778 data_time: 0.0846 memory: 13609 grad_norm: 2.3752 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.0089 loss: 2.0089 2022/08/01 12:13:34 - mmengine - INFO - Epoch(train) [26][260/940] lr: 6.0000e-02 eta: 10:20:17 time: 0.5213 data_time: 0.1815 memory: 13609 grad_norm: 2.4221 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1684 loss: 2.1684 2022/08/01 12:13:45 - mmengine - INFO - Epoch(train) [26][280/940] lr: 6.0000e-02 eta: 10:20:08 time: 0.5522 data_time: 0.1951 memory: 13609 grad_norm: 2.4475 top1_acc: 0.2188 top5_acc: 0.6562 loss_cls: 2.1981 loss: 2.1981 2022/08/01 12:13:56 - mmengine - INFO - Epoch(train) [26][300/940] lr: 6.0000e-02 eta: 10:19:57 time: 0.5252 data_time: 0.0699 memory: 13609 grad_norm: 2.3881 top1_acc: 0.4375 top5_acc: 0.5312 loss_cls: 2.0229 loss: 2.0229 2022/08/01 12:14:06 - mmengine - INFO - Epoch(train) [26][320/940] lr: 6.0000e-02 eta: 10:19:45 time: 0.5016 data_time: 0.0378 memory: 13609 grad_norm: 2.3970 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0744 loss: 2.0744 2022/08/01 12:14:16 - mmengine - INFO - Epoch(train) [26][340/940] lr: 6.0000e-02 eta: 10:19:34 time: 0.5323 data_time: 0.0734 memory: 13609 grad_norm: 2.3877 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 2.0232 loss: 2.0232 2022/08/01 12:14:26 - mmengine - INFO - Epoch(train) [26][360/940] lr: 6.0000e-02 eta: 10:19:22 time: 0.4996 data_time: 0.0830 memory: 13609 grad_norm: 2.4019 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0270 loss: 2.0270 2022/08/01 12:14:37 - mmengine - INFO - Epoch(train) [26][380/940] lr: 6.0000e-02 eta: 10:19:13 time: 0.5562 data_time: 0.1934 memory: 13609 grad_norm: 2.4243 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.0435 loss: 2.0435 2022/08/01 12:14:48 - mmengine - INFO - Epoch(train) [26][400/940] lr: 6.0000e-02 eta: 10:19:02 time: 0.5215 data_time: 0.2030 memory: 13609 grad_norm: 2.4539 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1547 loss: 2.1547 2022/08/01 12:14:58 - mmengine - INFO - Epoch(train) [26][420/940] lr: 6.0000e-02 eta: 10:18:50 time: 0.5161 data_time: 0.0852 memory: 13609 grad_norm: 2.3919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2686 loss: 2.2686 2022/08/01 12:15:07 - mmengine - INFO - Epoch(train) [26][440/940] lr: 6.0000e-02 eta: 10:18:35 time: 0.4508 data_time: 0.0617 memory: 13609 grad_norm: 2.3999 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1568 loss: 2.1568 2022/08/01 12:15:18 - mmengine - INFO - Epoch(train) [26][460/940] lr: 6.0000e-02 eta: 10:18:26 time: 0.5450 data_time: 0.0537 memory: 13609 grad_norm: 2.4207 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.8848 loss: 1.8848 2022/08/01 12:15:29 - mmengine - INFO - Epoch(train) [26][480/940] lr: 6.0000e-02 eta: 10:18:15 time: 0.5301 data_time: 0.1144 memory: 13609 grad_norm: 2.4262 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.0187 loss: 2.0187 2022/08/01 12:15:40 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:15:40 - mmengine - INFO - Epoch(train) [26][500/940] lr: 6.0000e-02 eta: 10:18:07 time: 0.5720 data_time: 0.0657 memory: 13609 grad_norm: 2.4169 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8525 loss: 1.8525 2022/08/01 12:15:50 - mmengine - INFO - Epoch(train) [26][520/940] lr: 6.0000e-02 eta: 10:17:55 time: 0.5075 data_time: 0.0407 memory: 13609 grad_norm: 2.5413 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.1023 loss: 2.1023 2022/08/01 12:16:01 - mmengine - INFO - Epoch(train) [26][540/940] lr: 6.0000e-02 eta: 10:17:45 time: 0.5497 data_time: 0.0363 memory: 13609 grad_norm: 2.4088 top1_acc: 0.4688 top5_acc: 0.9062 loss_cls: 2.1358 loss: 2.1358 2022/08/01 12:16:11 - mmengine - INFO - Epoch(train) [26][560/940] lr: 6.0000e-02 eta: 10:17:32 time: 0.4817 data_time: 0.0928 memory: 13609 grad_norm: 2.4046 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.2885 loss: 2.2885 2022/08/01 12:16:22 - mmengine - INFO - Epoch(train) [26][580/940] lr: 6.0000e-02 eta: 10:17:24 time: 0.5656 data_time: 0.1007 memory: 13609 grad_norm: 2.4610 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2324 loss: 2.2324 2022/08/01 12:16:33 - mmengine - INFO - Epoch(train) [26][600/940] lr: 6.0000e-02 eta: 10:17:12 time: 0.5139 data_time: 0.1091 memory: 13609 grad_norm: 2.4110 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0870 loss: 2.0870 2022/08/01 12:16:43 - mmengine - INFO - Epoch(train) [26][620/940] lr: 6.0000e-02 eta: 10:17:01 time: 0.5300 data_time: 0.1511 memory: 13609 grad_norm: 2.4413 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1977 loss: 2.1977 2022/08/01 12:16:54 - mmengine - INFO - Epoch(train) [26][640/940] lr: 6.0000e-02 eta: 10:16:52 time: 0.5443 data_time: 0.2488 memory: 13609 grad_norm: 2.4240 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0374 loss: 2.0374 2022/08/01 12:17:04 - mmengine - INFO - Epoch(train) [26][660/940] lr: 6.0000e-02 eta: 10:16:41 time: 0.5234 data_time: 0.1879 memory: 13609 grad_norm: 2.4250 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0977 loss: 2.0977 2022/08/01 12:17:15 - mmengine - INFO - Epoch(train) [26][680/940] lr: 6.0000e-02 eta: 10:16:29 time: 0.5172 data_time: 0.2223 memory: 13609 grad_norm: 2.4113 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0296 loss: 2.0296 2022/08/01 12:17:25 - mmengine - INFO - Epoch(train) [26][700/940] lr: 6.0000e-02 eta: 10:16:17 time: 0.5043 data_time: 0.0518 memory: 13609 grad_norm: 2.4778 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0200 loss: 2.0200 2022/08/01 12:17:36 - mmengine - INFO - Epoch(train) [26][720/940] lr: 6.0000e-02 eta: 10:16:07 time: 0.5340 data_time: 0.1802 memory: 13609 grad_norm: 2.4382 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.2244 loss: 2.2244 2022/08/01 12:17:46 - mmengine - INFO - Epoch(train) [26][740/940] lr: 6.0000e-02 eta: 10:15:55 time: 0.4998 data_time: 0.1114 memory: 13609 grad_norm: 2.4611 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0990 loss: 2.0990 2022/08/01 12:17:57 - mmengine - INFO - Epoch(train) [26][760/940] lr: 6.0000e-02 eta: 10:15:47 time: 0.5787 data_time: 0.2703 memory: 13609 grad_norm: 2.4289 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1993 loss: 2.1993 2022/08/01 12:18:07 - mmengine - INFO - Epoch(train) [26][780/940] lr: 6.0000e-02 eta: 10:15:33 time: 0.4678 data_time: 0.1379 memory: 13609 grad_norm: 2.3950 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0401 loss: 2.0401 2022/08/01 12:18:18 - mmengine - INFO - Epoch(train) [26][800/940] lr: 6.0000e-02 eta: 10:15:24 time: 0.5676 data_time: 0.2411 memory: 13609 grad_norm: 2.4306 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1891 loss: 2.1891 2022/08/01 12:18:29 - mmengine - INFO - Epoch(train) [26][820/940] lr: 6.0000e-02 eta: 10:15:14 time: 0.5410 data_time: 0.0772 memory: 13609 grad_norm: 2.4281 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1454 loss: 2.1454 2022/08/01 12:18:39 - mmengine - INFO - Epoch(train) [26][840/940] lr: 6.0000e-02 eta: 10:15:02 time: 0.4910 data_time: 0.0714 memory: 13609 grad_norm: 2.4179 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0125 loss: 2.0125 2022/08/01 12:18:49 - mmengine - INFO - Epoch(train) [26][860/940] lr: 6.0000e-02 eta: 10:14:50 time: 0.5045 data_time: 0.1167 memory: 13609 grad_norm: 2.4504 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0950 loss: 2.0950 2022/08/01 12:19:00 - mmengine - INFO - Epoch(train) [26][880/940] lr: 6.0000e-02 eta: 10:14:41 time: 0.5597 data_time: 0.0746 memory: 13609 grad_norm: 2.3806 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0842 loss: 2.0842 2022/08/01 12:19:10 - mmengine - INFO - Epoch(train) [26][900/940] lr: 6.0000e-02 eta: 10:14:28 time: 0.4886 data_time: 0.0278 memory: 13609 grad_norm: 2.4232 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1292 loss: 2.1292 2022/08/01 12:19:21 - mmengine - INFO - Epoch(train) [26][920/940] lr: 6.0000e-02 eta: 10:14:19 time: 0.5643 data_time: 0.1702 memory: 13609 grad_norm: 2.3859 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.0492 loss: 2.0492 2022/08/01 12:19:29 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:19:29 - mmengine - INFO - Epoch(train) [26][940/940] lr: 6.0000e-02 eta: 10:14:02 time: 0.4134 data_time: 0.0644 memory: 13609 grad_norm: 2.4716 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0968 loss: 2.0968 2022/08/01 12:21:15 - mmengine - INFO - Epoch(val) [26][20/78] eta: 0:05:07 time: 5.3059 data_time: 4.5271 memory: 19674 2022/08/01 12:22:28 - mmengine - INFO - Epoch(val) [26][40/78] eta: 0:02:17 time: 3.6123 data_time: 2.8482 memory: 19674 2022/08/01 12:24:03 - mmengine - INFO - Epoch(val) [26][60/78] eta: 0:01:25 time: 4.7536 data_time: 3.9987 memory: 19674 2022/08/01 12:25:16 - mmengine - INFO - Epoch(val) [26][78/78] acc/top1: 0.5771 acc/top5: 0.8119 acc/mean1: 0.5770 2022/08/01 12:25:30 - mmengine - INFO - Epoch(train) [27][20/940] lr: 6.0000e-02 eta: 10:14:01 time: 0.7082 data_time: 0.3114 memory: 19674 grad_norm: 2.4081 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0822 loss: 2.0822 2022/08/01 12:25:40 - mmengine - INFO - Epoch(train) [27][40/940] lr: 6.0000e-02 eta: 10:13:48 time: 0.4811 data_time: 0.1121 memory: 13609 grad_norm: 2.4260 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9712 loss: 1.9712 2022/08/01 12:25:52 - mmengine - INFO - Epoch(train) [27][60/940] lr: 6.0000e-02 eta: 10:13:42 time: 0.6141 data_time: 0.0450 memory: 13609 grad_norm: 2.4388 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1718 loss: 2.1718 2022/08/01 12:26:02 - mmengine - INFO - Epoch(train) [27][80/940] lr: 6.0000e-02 eta: 10:13:29 time: 0.4777 data_time: 0.0329 memory: 13609 grad_norm: 2.4289 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1153 loss: 2.1153 2022/08/01 12:26:13 - mmengine - INFO - Epoch(train) [27][100/940] lr: 6.0000e-02 eta: 10:13:20 time: 0.5634 data_time: 0.0427 memory: 13609 grad_norm: 2.3784 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 1.9885 loss: 1.9885 2022/08/01 12:26:23 - mmengine - INFO - Epoch(train) [27][120/940] lr: 6.0000e-02 eta: 10:13:08 time: 0.4990 data_time: 0.0441 memory: 13609 grad_norm: 2.3734 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0212 loss: 2.0212 2022/08/01 12:26:35 - mmengine - INFO - Epoch(train) [27][140/940] lr: 6.0000e-02 eta: 10:13:01 time: 0.5991 data_time: 0.0333 memory: 13609 grad_norm: 2.3432 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0338 loss: 2.0338 2022/08/01 12:26:44 - mmengine - INFO - Epoch(train) [27][160/940] lr: 6.0000e-02 eta: 10:12:45 time: 0.4425 data_time: 0.0346 memory: 13609 grad_norm: 2.4180 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0886 loss: 2.0886 2022/08/01 12:26:56 - mmengine - INFO - Epoch(train) [27][180/940] lr: 6.0000e-02 eta: 10:12:40 time: 0.6163 data_time: 0.0608 memory: 13609 grad_norm: 2.3772 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9359 loss: 1.9359 2022/08/01 12:27:05 - mmengine - INFO - Epoch(train) [27][200/940] lr: 6.0000e-02 eta: 10:12:25 time: 0.4629 data_time: 0.0368 memory: 13609 grad_norm: 2.4201 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.1304 loss: 2.1304 2022/08/01 12:27:16 - mmengine - INFO - Epoch(train) [27][220/940] lr: 6.0000e-02 eta: 10:12:14 time: 0.5127 data_time: 0.0290 memory: 13609 grad_norm: 2.4053 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.9978 loss: 1.9978 2022/08/01 12:27:26 - mmengine - INFO - Epoch(train) [27][240/940] lr: 6.0000e-02 eta: 10:12:03 time: 0.5198 data_time: 0.0459 memory: 13609 grad_norm: 2.4352 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.0920 loss: 2.0920 2022/08/01 12:27:36 - mmengine - INFO - Epoch(train) [27][260/940] lr: 6.0000e-02 eta: 10:11:50 time: 0.4959 data_time: 0.0436 memory: 13609 grad_norm: 2.3956 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0814 loss: 2.0814 2022/08/01 12:27:48 - mmengine - INFO - Epoch(train) [27][280/940] lr: 6.0000e-02 eta: 10:11:44 time: 0.6123 data_time: 0.0785 memory: 13609 grad_norm: 2.3781 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1331 loss: 2.1331 2022/08/01 12:27:57 - mmengine - INFO - Epoch(train) [27][300/940] lr: 6.0000e-02 eta: 10:11:29 time: 0.4544 data_time: 0.0943 memory: 13609 grad_norm: 2.4276 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0136 loss: 2.0136 2022/08/01 12:28:08 - mmengine - INFO - Epoch(train) [27][320/940] lr: 6.0000e-02 eta: 10:11:18 time: 0.5174 data_time: 0.2029 memory: 13609 grad_norm: 2.4495 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1464 loss: 2.1464 2022/08/01 12:28:18 - mmengine - INFO - Epoch(train) [27][340/940] lr: 6.0000e-02 eta: 10:11:08 time: 0.5308 data_time: 0.0814 memory: 13609 grad_norm: 2.4056 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.0479 loss: 2.0479 2022/08/01 12:28:30 - mmengine - INFO - Epoch(train) [27][360/940] lr: 6.0000e-02 eta: 10:11:00 time: 0.5789 data_time: 0.2339 memory: 13609 grad_norm: 2.4623 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1972 loss: 2.1972 2022/08/01 12:28:40 - mmengine - INFO - Epoch(train) [27][380/940] lr: 6.0000e-02 eta: 10:10:48 time: 0.5094 data_time: 0.0996 memory: 13609 grad_norm: 2.4191 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1581 loss: 2.1581 2022/08/01 12:28:50 - mmengine - INFO - Epoch(train) [27][400/940] lr: 6.0000e-02 eta: 10:10:36 time: 0.5023 data_time: 0.0920 memory: 13609 grad_norm: 2.3887 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9963 loss: 1.9963 2022/08/01 12:29:01 - mmengine - INFO - Epoch(train) [27][420/940] lr: 6.0000e-02 eta: 10:10:25 time: 0.5231 data_time: 0.1695 memory: 13609 grad_norm: 2.3894 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9812 loss: 1.9812 2022/08/01 12:29:12 - mmengine - INFO - Epoch(train) [27][440/940] lr: 6.0000e-02 eta: 10:10:16 time: 0.5660 data_time: 0.2706 memory: 13609 grad_norm: 2.4544 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0710 loss: 2.0710 2022/08/01 12:29:22 - mmengine - INFO - Epoch(train) [27][460/940] lr: 6.0000e-02 eta: 10:10:03 time: 0.4869 data_time: 0.1246 memory: 13609 grad_norm: 2.4660 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1632 loss: 2.1632 2022/08/01 12:29:34 - mmengine - INFO - Epoch(train) [27][480/940] lr: 6.0000e-02 eta: 10:09:58 time: 0.6254 data_time: 0.2459 memory: 13609 grad_norm: 2.4086 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0329 loss: 2.0329 2022/08/01 12:29:42 - mmengine - INFO - Epoch(train) [27][500/940] lr: 6.0000e-02 eta: 10:09:41 time: 0.4138 data_time: 0.0994 memory: 13609 grad_norm: 2.4706 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1106 loss: 2.1106 2022/08/01 12:29:55 - mmengine - INFO - Epoch(train) [27][520/940] lr: 6.0000e-02 eta: 10:09:36 time: 0.6343 data_time: 0.1338 memory: 13609 grad_norm: 2.3869 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1479 loss: 2.1479 2022/08/01 12:30:04 - mmengine - INFO - Epoch(train) [27][540/940] lr: 6.0000e-02 eta: 10:09:22 time: 0.4650 data_time: 0.1626 memory: 13609 grad_norm: 2.4342 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0669 loss: 2.0669 2022/08/01 12:30:14 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:30:14 - mmengine - INFO - Epoch(train) [27][560/940] lr: 6.0000e-02 eta: 10:09:09 time: 0.4834 data_time: 0.0816 memory: 13609 grad_norm: 2.3826 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9750 loss: 1.9750 2022/08/01 12:30:25 - mmengine - INFO - Epoch(train) [27][580/940] lr: 6.0000e-02 eta: 10:09:00 time: 0.5683 data_time: 0.0413 memory: 13609 grad_norm: 2.4270 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1122 loss: 2.1122 2022/08/01 12:30:35 - mmengine - INFO - Epoch(train) [27][600/940] lr: 6.0000e-02 eta: 10:08:46 time: 0.4660 data_time: 0.0380 memory: 13609 grad_norm: 2.4408 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 2.1456 loss: 2.1456 2022/08/01 12:30:46 - mmengine - INFO - Epoch(train) [27][620/940] lr: 6.0000e-02 eta: 10:08:36 time: 0.5440 data_time: 0.0265 memory: 13609 grad_norm: 2.4196 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1239 loss: 2.1239 2022/08/01 12:30:57 - mmengine - INFO - Epoch(train) [27][640/940] lr: 6.0000e-02 eta: 10:08:29 time: 0.5805 data_time: 0.0386 memory: 13609 grad_norm: 2.4854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9934 loss: 1.9934 2022/08/01 12:31:07 - mmengine - INFO - Epoch(train) [27][660/940] lr: 6.0000e-02 eta: 10:08:16 time: 0.4839 data_time: 0.0327 memory: 13609 grad_norm: 2.4865 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0843 loss: 2.0843 2022/08/01 12:31:18 - mmengine - INFO - Epoch(train) [27][680/940] lr: 6.0000e-02 eta: 10:08:06 time: 0.5546 data_time: 0.0345 memory: 13609 grad_norm: 2.3599 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9601 loss: 1.9601 2022/08/01 12:31:28 - mmengine - INFO - Epoch(train) [27][700/940] lr: 6.0000e-02 eta: 10:07:53 time: 0.4741 data_time: 0.0273 memory: 13609 grad_norm: 2.4507 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0365 loss: 2.0365 2022/08/01 12:31:38 - mmengine - INFO - Epoch(train) [27][720/940] lr: 6.0000e-02 eta: 10:07:43 time: 0.5437 data_time: 0.0454 memory: 13609 grad_norm: 2.4640 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1590 loss: 2.1590 2022/08/01 12:31:48 - mmengine - INFO - Epoch(train) [27][740/940] lr: 6.0000e-02 eta: 10:07:30 time: 0.4893 data_time: 0.0331 memory: 13609 grad_norm: 2.4157 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1232 loss: 2.1232 2022/08/01 12:32:00 - mmengine - INFO - Epoch(train) [27][760/940] lr: 6.0000e-02 eta: 10:07:24 time: 0.6120 data_time: 0.0374 memory: 13609 grad_norm: 2.4029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1210 loss: 2.1210 2022/08/01 12:32:10 - mmengine - INFO - Epoch(train) [27][780/940] lr: 6.0000e-02 eta: 10:07:11 time: 0.4917 data_time: 0.0366 memory: 13609 grad_norm: 2.4311 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2091 loss: 2.2091 2022/08/01 12:32:22 - mmengine - INFO - Epoch(train) [27][800/940] lr: 6.0000e-02 eta: 10:07:03 time: 0.5669 data_time: 0.0450 memory: 13609 grad_norm: 2.4125 top1_acc: 0.2500 top5_acc: 0.5938 loss_cls: 2.1821 loss: 2.1821 2022/08/01 12:32:31 - mmengine - INFO - Epoch(train) [27][820/940] lr: 6.0000e-02 eta: 10:06:50 time: 0.4842 data_time: 0.0418 memory: 13609 grad_norm: 2.4649 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.1874 loss: 2.1874 2022/08/01 12:32:42 - mmengine - INFO - Epoch(train) [27][840/940] lr: 6.0000e-02 eta: 10:06:39 time: 0.5358 data_time: 0.0410 memory: 13609 grad_norm: 2.4050 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.1168 loss: 2.1168 2022/08/01 12:32:52 - mmengine - INFO - Epoch(train) [27][860/940] lr: 6.0000e-02 eta: 10:06:26 time: 0.4769 data_time: 0.0438 memory: 13609 grad_norm: 2.4218 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0425 loss: 2.0425 2022/08/01 12:33:03 - mmengine - INFO - Epoch(train) [27][880/940] lr: 6.0000e-02 eta: 10:06:19 time: 0.5936 data_time: 0.0464 memory: 13609 grad_norm: 2.4943 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.3387 loss: 2.3387 2022/08/01 12:33:13 - mmengine - INFO - Epoch(train) [27][900/940] lr: 6.0000e-02 eta: 10:06:05 time: 0.4750 data_time: 0.0334 memory: 13609 grad_norm: 2.4908 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1926 loss: 2.1926 2022/08/01 12:33:23 - mmengine - INFO - Epoch(train) [27][920/940] lr: 6.0000e-02 eta: 10:05:55 time: 0.5272 data_time: 0.0418 memory: 13609 grad_norm: 2.4583 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0467 loss: 2.0467 2022/08/01 12:33:32 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:33:32 - mmengine - INFO - Epoch(train) [27][940/940] lr: 6.0000e-02 eta: 10:05:40 time: 0.4520 data_time: 0.0267 memory: 13609 grad_norm: 2.5623 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.1777 loss: 2.1777 2022/08/01 12:33:32 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/01 12:35:19 - mmengine - INFO - Epoch(val) [27][20/78] eta: 0:05:06 time: 5.2852 data_time: 4.5185 memory: 19674 2022/08/01 12:36:31 - mmengine - INFO - Epoch(val) [27][40/78] eta: 0:02:16 time: 3.5880 data_time: 2.8289 memory: 19674 2022/08/01 12:38:07 - mmengine - INFO - Epoch(val) [27][60/78] eta: 0:01:25 time: 4.7722 data_time: 4.0161 memory: 19674 2022/08/01 12:39:19 - mmengine - INFO - Epoch(val) [27][78/78] acc/top1: 0.5910 acc/top5: 0.8246 acc/mean1: 0.5908 2022/08/01 12:39:34 - mmengine - INFO - Epoch(train) [28][20/940] lr: 6.0000e-02 eta: 10:05:40 time: 0.7270 data_time: 0.1927 memory: 19674 grad_norm: 2.4488 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2831 loss: 2.2831 2022/08/01 12:39:44 - mmengine - INFO - Epoch(train) [28][40/940] lr: 6.0000e-02 eta: 10:05:28 time: 0.5158 data_time: 0.0484 memory: 13609 grad_norm: 2.4357 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1081 loss: 2.1081 2022/08/01 12:39:54 - mmengine - INFO - Epoch(train) [28][60/940] lr: 6.0000e-02 eta: 10:05:17 time: 0.5130 data_time: 0.0417 memory: 13609 grad_norm: 2.3517 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.0967 loss: 2.0967 2022/08/01 12:40:04 - mmengine - INFO - Epoch(train) [28][80/940] lr: 6.0000e-02 eta: 10:05:04 time: 0.4938 data_time: 0.0330 memory: 13609 grad_norm: 2.3455 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1047 loss: 2.1047 2022/08/01 12:40:16 - mmengine - INFO - Epoch(train) [28][100/940] lr: 6.0000e-02 eta: 10:04:57 time: 0.5914 data_time: 0.0358 memory: 13609 grad_norm: 2.3933 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0405 loss: 2.0405 2022/08/01 12:40:26 - mmengine - INFO - Epoch(train) [28][120/940] lr: 6.0000e-02 eta: 10:04:45 time: 0.4934 data_time: 0.0321 memory: 13609 grad_norm: 2.4417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0631 loss: 2.0631 2022/08/01 12:40:37 - mmengine - INFO - Epoch(train) [28][140/940] lr: 6.0000e-02 eta: 10:04:35 time: 0.5408 data_time: 0.0366 memory: 13609 grad_norm: 2.3901 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.9726 loss: 1.9726 2022/08/01 12:40:46 - mmengine - INFO - Epoch(train) [28][160/940] lr: 6.0000e-02 eta: 10:04:21 time: 0.4763 data_time: 0.0335 memory: 13609 grad_norm: 2.4842 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.1658 loss: 2.1658 2022/08/01 12:40:58 - mmengine - INFO - Epoch(train) [28][180/940] lr: 6.0000e-02 eta: 10:04:13 time: 0.5826 data_time: 0.0380 memory: 13609 grad_norm: 2.4547 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8964 loss: 1.8964 2022/08/01 12:41:08 - mmengine - INFO - Epoch(train) [28][200/940] lr: 6.0000e-02 eta: 10:04:01 time: 0.5017 data_time: 0.0367 memory: 13609 grad_norm: 2.4766 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.0828 loss: 2.0828 2022/08/01 12:41:19 - mmengine - INFO - Epoch(train) [28][220/940] lr: 6.0000e-02 eta: 10:03:52 time: 0.5526 data_time: 0.0384 memory: 13609 grad_norm: 2.4510 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9924 loss: 1.9924 2022/08/01 12:41:29 - mmengine - INFO - Epoch(train) [28][240/940] lr: 6.0000e-02 eta: 10:03:40 time: 0.4991 data_time: 0.0369 memory: 13609 grad_norm: 2.4325 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0058 loss: 2.0058 2022/08/01 12:41:40 - mmengine - INFO - Epoch(train) [28][260/940] lr: 6.0000e-02 eta: 10:03:30 time: 0.5410 data_time: 0.0362 memory: 13609 grad_norm: 2.4692 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0215 loss: 2.0215 2022/08/01 12:41:49 - mmengine - INFO - Epoch(train) [28][280/940] lr: 6.0000e-02 eta: 10:03:16 time: 0.4648 data_time: 0.0335 memory: 13609 grad_norm: 2.4502 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0114 loss: 2.0114 2022/08/01 12:42:02 - mmengine - INFO - Epoch(train) [28][300/940] lr: 6.0000e-02 eta: 10:03:12 time: 0.6687 data_time: 0.0338 memory: 13609 grad_norm: 2.3792 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1080 loss: 2.1080 2022/08/01 12:42:12 - mmengine - INFO - Epoch(train) [28][320/940] lr: 6.0000e-02 eta: 10:02:58 time: 0.4592 data_time: 0.0403 memory: 13609 grad_norm: 2.4419 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1333 loss: 2.1333 2022/08/01 12:42:22 - mmengine - INFO - Epoch(train) [28][340/940] lr: 6.0000e-02 eta: 10:02:47 time: 0.5129 data_time: 0.0374 memory: 13609 grad_norm: 2.4556 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 2.0400 loss: 2.0400 2022/08/01 12:42:32 - mmengine - INFO - Epoch(train) [28][360/940] lr: 6.0000e-02 eta: 10:02:36 time: 0.5193 data_time: 0.0462 memory: 13609 grad_norm: 2.4366 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.2216 loss: 2.2216 2022/08/01 12:42:43 - mmengine - INFO - Epoch(train) [28][380/940] lr: 6.0000e-02 eta: 10:02:25 time: 0.5373 data_time: 0.0326 memory: 13609 grad_norm: 2.3957 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0332 loss: 2.0332 2022/08/01 12:42:54 - mmengine - INFO - Epoch(train) [28][400/940] lr: 6.0000e-02 eta: 10:02:15 time: 0.5413 data_time: 0.0359 memory: 13609 grad_norm: 2.4638 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1500 loss: 2.1500 2022/08/01 12:43:04 - mmengine - INFO - Epoch(train) [28][420/940] lr: 6.0000e-02 eta: 10:02:02 time: 0.4837 data_time: 0.0424 memory: 13609 grad_norm: 2.4010 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.0206 loss: 2.0206 2022/08/01 12:43:14 - mmengine - INFO - Epoch(train) [28][440/940] lr: 6.0000e-02 eta: 10:01:51 time: 0.5209 data_time: 0.0388 memory: 13609 grad_norm: 2.4431 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0825 loss: 2.0825 2022/08/01 12:43:25 - mmengine - INFO - Epoch(train) [28][460/940] lr: 6.0000e-02 eta: 10:01:42 time: 0.5524 data_time: 0.0437 memory: 13609 grad_norm: 2.4295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0361 loss: 2.0361 2022/08/01 12:43:36 - mmengine - INFO - Epoch(train) [28][480/940] lr: 6.0000e-02 eta: 10:01:31 time: 0.5293 data_time: 0.0368 memory: 13609 grad_norm: 2.4363 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.1625 loss: 2.1625 2022/08/01 12:43:47 - mmengine - INFO - Epoch(train) [28][500/940] lr: 6.0000e-02 eta: 10:01:23 time: 0.5669 data_time: 0.0364 memory: 13609 grad_norm: 2.4449 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0230 loss: 2.0230 2022/08/01 12:43:57 - mmengine - INFO - Epoch(train) [28][520/940] lr: 6.0000e-02 eta: 10:01:10 time: 0.4838 data_time: 0.0371 memory: 13609 grad_norm: 2.4408 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.1065 loss: 2.1065 2022/08/01 12:44:08 - mmengine - INFO - Epoch(train) [28][540/940] lr: 6.0000e-02 eta: 10:01:01 time: 0.5690 data_time: 0.0340 memory: 13609 grad_norm: 2.4040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9885 loss: 1.9885 2022/08/01 12:44:18 - mmengine - INFO - Epoch(train) [28][560/940] lr: 6.0000e-02 eta: 10:00:48 time: 0.4904 data_time: 0.0368 memory: 13609 grad_norm: 2.3729 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.9543 loss: 1.9543 2022/08/01 12:44:29 - mmengine - INFO - Epoch(train) [28][580/940] lr: 6.0000e-02 eta: 10:00:38 time: 0.5402 data_time: 0.0343 memory: 13609 grad_norm: 2.4558 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0969 loss: 2.0969 2022/08/01 12:44:39 - mmengine - INFO - Epoch(train) [28][600/940] lr: 6.0000e-02 eta: 10:00:28 time: 0.5253 data_time: 0.0354 memory: 13609 grad_norm: 2.4128 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0509 loss: 2.0509 2022/08/01 12:44:51 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:44:51 - mmengine - INFO - Epoch(train) [28][620/940] lr: 6.0000e-02 eta: 10:00:20 time: 0.5901 data_time: 0.0376 memory: 13609 grad_norm: 2.4614 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 2.0040 loss: 2.0040 2022/08/01 12:45:01 - mmengine - INFO - Epoch(train) [28][640/940] lr: 6.0000e-02 eta: 10:00:07 time: 0.4747 data_time: 0.0359 memory: 13609 grad_norm: 2.4758 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1419 loss: 2.1419 2022/08/01 12:45:12 - mmengine - INFO - Epoch(train) [28][660/940] lr: 6.0000e-02 eta: 9:59:58 time: 0.5580 data_time: 0.0434 memory: 13609 grad_norm: 2.3800 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1325 loss: 2.1325 2022/08/01 12:45:21 - mmengine - INFO - Epoch(train) [28][680/940] lr: 6.0000e-02 eta: 9:59:43 time: 0.4493 data_time: 0.0388 memory: 13609 grad_norm: 2.4211 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.9049 loss: 1.9049 2022/08/01 12:45:32 - mmengine - INFO - Epoch(train) [28][700/940] lr: 6.0000e-02 eta: 9:59:33 time: 0.5472 data_time: 0.0376 memory: 13609 grad_norm: 2.4663 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2380 loss: 2.2380 2022/08/01 12:45:42 - mmengine - INFO - Epoch(train) [28][720/940] lr: 6.0000e-02 eta: 9:59:22 time: 0.5169 data_time: 0.0388 memory: 13609 grad_norm: 2.4599 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.1432 loss: 2.1432 2022/08/01 12:45:53 - mmengine - INFO - Epoch(train) [28][740/940] lr: 6.0000e-02 eta: 9:59:12 time: 0.5402 data_time: 0.0324 memory: 13609 grad_norm: 2.4517 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0691 loss: 2.0691 2022/08/01 12:46:03 - mmengine - INFO - Epoch(train) [28][760/940] lr: 6.0000e-02 eta: 9:58:59 time: 0.4876 data_time: 0.0560 memory: 13609 grad_norm: 2.4391 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1766 loss: 2.1766 2022/08/01 12:46:13 - mmengine - INFO - Epoch(train) [28][780/940] lr: 6.0000e-02 eta: 9:58:48 time: 0.5254 data_time: 0.0319 memory: 13609 grad_norm: 2.4430 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9856 loss: 1.9856 2022/08/01 12:46:23 - mmengine - INFO - Epoch(train) [28][800/940] lr: 6.0000e-02 eta: 9:58:37 time: 0.5089 data_time: 0.0678 memory: 13609 grad_norm: 2.4454 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0438 loss: 2.0438 2022/08/01 12:46:34 - mmengine - INFO - Epoch(train) [28][820/940] lr: 6.0000e-02 eta: 9:58:26 time: 0.5252 data_time: 0.0395 memory: 13609 grad_norm: 2.4601 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/08/01 12:46:44 - mmengine - INFO - Epoch(train) [28][840/940] lr: 6.0000e-02 eta: 9:58:15 time: 0.5212 data_time: 0.0628 memory: 13609 grad_norm: 2.4758 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2106 loss: 2.2106 2022/08/01 12:46:55 - mmengine - INFO - Epoch(train) [28][860/940] lr: 6.0000e-02 eta: 9:58:04 time: 0.5268 data_time: 0.0651 memory: 13609 grad_norm: 2.4461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1161 loss: 2.1161 2022/08/01 12:47:05 - mmengine - INFO - Epoch(train) [28][880/940] lr: 6.0000e-02 eta: 9:57:54 time: 0.5374 data_time: 0.0898 memory: 13609 grad_norm: 2.3804 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0572 loss: 2.0572 2022/08/01 12:47:15 - mmengine - INFO - Epoch(train) [28][900/940] lr: 6.0000e-02 eta: 9:57:41 time: 0.4913 data_time: 0.0842 memory: 13609 grad_norm: 2.3884 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.1162 loss: 2.1162 2022/08/01 12:47:27 - mmengine - INFO - Epoch(train) [28][920/940] lr: 6.0000e-02 eta: 9:57:33 time: 0.5680 data_time: 0.0875 memory: 13609 grad_norm: 2.4002 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0217 loss: 2.0217 2022/08/01 12:47:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:47:35 - mmengine - INFO - Epoch(train) [28][940/940] lr: 6.0000e-02 eta: 9:57:16 time: 0.4080 data_time: 0.0925 memory: 13609 grad_norm: 2.5389 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.9806 loss: 1.9806 2022/08/01 12:49:21 - mmengine - INFO - Epoch(val) [28][20/78] eta: 0:05:07 time: 5.3059 data_time: 4.5323 memory: 19674 2022/08/01 12:50:33 - mmengine - INFO - Epoch(val) [28][40/78] eta: 0:02:17 time: 3.6081 data_time: 2.8581 memory: 19674 2022/08/01 12:52:09 - mmengine - INFO - Epoch(val) [28][60/78] eta: 0:01:26 time: 4.7965 data_time: 4.0286 memory: 19674 2022/08/01 12:53:22 - mmengine - INFO - Epoch(val) [28][78/78] acc/top1: 0.5918 acc/top5: 0.8279 acc/mean1: 0.5917 2022/08/01 12:53:36 - mmengine - INFO - Epoch(train) [29][20/940] lr: 6.0000e-02 eta: 9:57:14 time: 0.6966 data_time: 0.3435 memory: 19674 grad_norm: 2.4223 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0697 loss: 2.0697 2022/08/01 12:53:46 - mmengine - INFO - Epoch(train) [29][40/940] lr: 6.0000e-02 eta: 9:57:00 time: 0.4696 data_time: 0.1269 memory: 13609 grad_norm: 2.3897 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.9208 loss: 1.9208 2022/08/01 12:53:57 - mmengine - INFO - Epoch(train) [29][60/940] lr: 6.0000e-02 eta: 9:56:52 time: 0.5824 data_time: 0.2795 memory: 13609 grad_norm: 2.4039 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.1525 loss: 2.1525 2022/08/01 12:54:08 - mmengine - INFO - Epoch(train) [29][80/940] lr: 6.0000e-02 eta: 9:56:42 time: 0.5394 data_time: 0.1318 memory: 13609 grad_norm: 2.4239 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.1209 loss: 2.1209 2022/08/01 12:54:20 - mmengine - INFO - Epoch(train) [29][100/940] lr: 6.0000e-02 eta: 9:56:35 time: 0.5926 data_time: 0.0353 memory: 13609 grad_norm: 2.3971 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0516 loss: 2.0516 2022/08/01 12:54:29 - mmengine - INFO - Epoch(train) [29][120/940] lr: 6.0000e-02 eta: 9:56:21 time: 0.4629 data_time: 0.0409 memory: 13609 grad_norm: 2.4346 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1227 loss: 2.1227 2022/08/01 12:54:41 - mmengine - INFO - Epoch(train) [29][140/940] lr: 6.0000e-02 eta: 9:56:12 time: 0.5676 data_time: 0.0554 memory: 13609 grad_norm: 2.4471 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1791 loss: 2.1791 2022/08/01 12:54:49 - mmengine - INFO - Epoch(train) [29][160/940] lr: 6.0000e-02 eta: 9:55:57 time: 0.4344 data_time: 0.0939 memory: 13609 grad_norm: 2.4602 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 2.0939 loss: 2.0939 2022/08/01 12:55:01 - mmengine - INFO - Epoch(train) [29][180/940] lr: 6.0000e-02 eta: 9:55:49 time: 0.5809 data_time: 0.0856 memory: 13609 grad_norm: 2.4255 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0713 loss: 2.0713 2022/08/01 12:55:10 - mmengine - INFO - Epoch(train) [29][200/940] lr: 6.0000e-02 eta: 9:55:34 time: 0.4597 data_time: 0.0338 memory: 13609 grad_norm: 2.4397 top1_acc: 0.3750 top5_acc: 0.8438 loss_cls: 2.1416 loss: 2.1416 2022/08/01 12:55:22 - mmengine - INFO - Epoch(train) [29][220/940] lr: 6.0000e-02 eta: 9:55:27 time: 0.5987 data_time: 0.0877 memory: 13609 grad_norm: 2.4327 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0309 loss: 2.0309 2022/08/01 12:55:32 - mmengine - INFO - Epoch(train) [29][240/940] lr: 6.0000e-02 eta: 9:55:15 time: 0.4977 data_time: 0.0405 memory: 13609 grad_norm: 2.3854 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0174 loss: 2.0174 2022/08/01 12:55:43 - mmengine - INFO - Epoch(train) [29][260/940] lr: 6.0000e-02 eta: 9:55:06 time: 0.5520 data_time: 0.0343 memory: 13609 grad_norm: 2.4549 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.1258 loss: 2.1258 2022/08/01 12:55:53 - mmengine - INFO - Epoch(train) [29][280/940] lr: 6.0000e-02 eta: 9:54:52 time: 0.4738 data_time: 0.0308 memory: 13609 grad_norm: 2.4260 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0346 loss: 2.0346 2022/08/01 12:56:04 - mmengine - INFO - Epoch(train) [29][300/940] lr: 6.0000e-02 eta: 9:54:44 time: 0.5804 data_time: 0.0432 memory: 13609 grad_norm: 2.4206 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0920 loss: 2.0920 2022/08/01 12:56:14 - mmengine - INFO - Epoch(train) [29][320/940] lr: 6.0000e-02 eta: 9:54:31 time: 0.4729 data_time: 0.0332 memory: 13609 grad_norm: 2.3800 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1006 loss: 2.1006 2022/08/01 12:56:26 - mmengine - INFO - Epoch(train) [29][340/940] lr: 6.0000e-02 eta: 9:54:23 time: 0.5884 data_time: 0.0417 memory: 13609 grad_norm: 2.4742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1047 loss: 2.1047 2022/08/01 12:56:35 - mmengine - INFO - Epoch(train) [29][360/940] lr: 6.0000e-02 eta: 9:54:11 time: 0.4878 data_time: 0.0367 memory: 13609 grad_norm: 2.4647 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1188 loss: 2.1188 2022/08/01 12:56:47 - mmengine - INFO - Epoch(train) [29][380/940] lr: 6.0000e-02 eta: 9:54:03 time: 0.5899 data_time: 0.0335 memory: 13609 grad_norm: 2.4640 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0207 loss: 2.0207 2022/08/01 12:56:56 - mmengine - INFO - Epoch(train) [29][400/940] lr: 6.0000e-02 eta: 9:53:49 time: 0.4682 data_time: 0.0288 memory: 13609 grad_norm: 2.4702 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0814 loss: 2.0814 2022/08/01 12:57:08 - mmengine - INFO - Epoch(train) [29][420/940] lr: 6.0000e-02 eta: 9:53:40 time: 0.5649 data_time: 0.0360 memory: 13609 grad_norm: 2.4248 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.0822 loss: 2.0822 2022/08/01 12:57:17 - mmengine - INFO - Epoch(train) [29][440/940] lr: 6.0000e-02 eta: 9:53:27 time: 0.4708 data_time: 0.0369 memory: 13609 grad_norm: 2.4560 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0963 loss: 2.0963 2022/08/01 12:57:28 - mmengine - INFO - Epoch(train) [29][460/940] lr: 6.0000e-02 eta: 9:53:17 time: 0.5430 data_time: 0.0325 memory: 13609 grad_norm: 2.4289 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0777 loss: 2.0777 2022/08/01 12:57:38 - mmengine - INFO - Epoch(train) [29][480/940] lr: 6.0000e-02 eta: 9:53:06 time: 0.5242 data_time: 0.0576 memory: 13609 grad_norm: 2.4443 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0020 loss: 2.0020 2022/08/01 12:57:49 - mmengine - INFO - Epoch(train) [29][500/940] lr: 6.0000e-02 eta: 9:52:54 time: 0.5039 data_time: 0.0420 memory: 13609 grad_norm: 2.4050 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0523 loss: 2.0523 2022/08/01 12:57:58 - mmengine - INFO - Epoch(train) [29][520/940] lr: 6.0000e-02 eta: 9:52:42 time: 0.4868 data_time: 0.0381 memory: 13609 grad_norm: 2.4981 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1642 loss: 2.1642 2022/08/01 12:58:10 - mmengine - INFO - Epoch(train) [29][540/940] lr: 6.0000e-02 eta: 9:52:34 time: 0.5984 data_time: 0.0366 memory: 13609 grad_norm: 2.4671 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1040 loss: 2.1040 2022/08/01 12:58:20 - mmengine - INFO - Epoch(train) [29][560/940] lr: 6.0000e-02 eta: 9:52:22 time: 0.4874 data_time: 0.0385 memory: 13609 grad_norm: 2.3907 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0854 loss: 2.0854 2022/08/01 12:58:31 - mmengine - INFO - Epoch(train) [29][580/940] lr: 6.0000e-02 eta: 9:52:12 time: 0.5528 data_time: 0.0327 memory: 13609 grad_norm: 2.4245 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1033 loss: 2.1033 2022/08/01 12:58:41 - mmengine - INFO - Epoch(train) [29][600/940] lr: 6.0000e-02 eta: 9:52:00 time: 0.4964 data_time: 0.0370 memory: 13609 grad_norm: 2.4794 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1037 loss: 2.1037 2022/08/01 12:58:52 - mmengine - INFO - Epoch(train) [29][620/940] lr: 6.0000e-02 eta: 9:51:51 time: 0.5584 data_time: 0.0438 memory: 13609 grad_norm: 2.4412 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1190 loss: 2.1190 2022/08/01 12:59:02 - mmengine - INFO - Epoch(train) [29][640/940] lr: 6.0000e-02 eta: 9:51:37 time: 0.4734 data_time: 0.0401 memory: 13609 grad_norm: 2.4425 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1704 loss: 2.1704 2022/08/01 12:59:13 - mmengine - INFO - Epoch(train) [29][660/940] lr: 6.0000e-02 eta: 9:51:29 time: 0.5630 data_time: 0.0334 memory: 13609 grad_norm: 2.4448 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 1.9982 loss: 1.9982 2022/08/01 12:59:23 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 12:59:23 - mmengine - INFO - Epoch(train) [29][680/940] lr: 6.0000e-02 eta: 9:51:18 time: 0.5273 data_time: 0.0356 memory: 13609 grad_norm: 2.4196 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9396 loss: 1.9396 2022/08/01 12:59:34 - mmengine - INFO - Epoch(train) [29][700/940] lr: 6.0000e-02 eta: 9:51:06 time: 0.5040 data_time: 0.0405 memory: 13609 grad_norm: 2.4495 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2607 loss: 2.2607 2022/08/01 12:59:43 - mmengine - INFO - Epoch(train) [29][720/940] lr: 6.0000e-02 eta: 9:50:53 time: 0.4858 data_time: 0.0370 memory: 13609 grad_norm: 2.4092 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9943 loss: 1.9943 2022/08/01 12:59:53 - mmengine - INFO - Epoch(train) [29][740/940] lr: 6.0000e-02 eta: 9:50:42 time: 0.5131 data_time: 0.0301 memory: 13609 grad_norm: 2.4165 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0475 loss: 2.0475 2022/08/01 13:00:04 - mmengine - INFO - Epoch(train) [29][760/940] lr: 6.0000e-02 eta: 9:50:31 time: 0.5299 data_time: 0.0384 memory: 13609 grad_norm: 2.4152 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.9553 loss: 1.9553 2022/08/01 13:00:15 - mmengine - INFO - Epoch(train) [29][780/940] lr: 6.0000e-02 eta: 9:50:22 time: 0.5483 data_time: 0.0374 memory: 13609 grad_norm: 2.4034 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/08/01 13:00:28 - mmengine - INFO - Epoch(train) [29][800/940] lr: 6.0000e-02 eta: 9:50:16 time: 0.6322 data_time: 0.3318 memory: 13609 grad_norm: 2.4169 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1690 loss: 2.1690 2022/08/01 13:00:37 - mmengine - INFO - Epoch(train) [29][820/940] lr: 6.0000e-02 eta: 9:50:02 time: 0.4544 data_time: 0.1489 memory: 13609 grad_norm: 2.4360 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2233 loss: 2.2233 2022/08/01 13:00:48 - mmengine - INFO - Epoch(train) [29][840/940] lr: 6.0000e-02 eta: 9:49:54 time: 0.5820 data_time: 0.2679 memory: 13609 grad_norm: 2.4240 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0123 loss: 2.0123 2022/08/01 13:00:59 - mmengine - INFO - Epoch(train) [29][860/940] lr: 6.0000e-02 eta: 9:49:43 time: 0.5152 data_time: 0.1718 memory: 13609 grad_norm: 2.4085 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0845 loss: 2.0845 2022/08/01 13:01:09 - mmengine - INFO - Epoch(train) [29][880/940] lr: 6.0000e-02 eta: 9:49:31 time: 0.5069 data_time: 0.2100 memory: 13609 grad_norm: 2.4054 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1128 loss: 2.1128 2022/08/01 13:01:19 - mmengine - INFO - Epoch(train) [29][900/940] lr: 6.0000e-02 eta: 9:49:19 time: 0.5139 data_time: 0.1604 memory: 13609 grad_norm: 2.4217 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1383 loss: 2.1383 2022/08/01 13:01:29 - mmengine - INFO - Epoch(train) [29][920/940] lr: 6.0000e-02 eta: 9:49:07 time: 0.4879 data_time: 0.1302 memory: 13609 grad_norm: 2.4304 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0679 loss: 2.0679 2022/08/01 13:01:38 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:01:38 - mmengine - INFO - Epoch(train) [29][940/940] lr: 6.0000e-02 eta: 9:48:52 time: 0.4482 data_time: 0.0805 memory: 13609 grad_norm: 2.5201 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1227 loss: 2.1227 2022/08/01 13:03:23 - mmengine - INFO - Epoch(val) [29][20/78] eta: 0:05:05 time: 5.2616 data_time: 4.4936 memory: 19674 2022/08/01 13:04:36 - mmengine - INFO - Epoch(val) [29][40/78] eta: 0:02:17 time: 3.6192 data_time: 2.8733 memory: 19674 2022/08/01 13:06:13 - mmengine - INFO - Epoch(val) [29][60/78] eta: 0:01:27 time: 4.8612 data_time: 4.1177 memory: 19674 2022/08/01 13:07:24 - mmengine - INFO - Epoch(val) [29][78/78] acc/top1: 0.5955 acc/top5: 0.8279 acc/mean1: 0.5953 2022/08/01 13:07:39 - mmengine - INFO - Epoch(train) [30][20/940] lr: 6.0000e-02 eta: 9:48:50 time: 0.6949 data_time: 0.2743 memory: 19674 grad_norm: 2.3973 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8921 loss: 1.8921 2022/08/01 13:07:49 - mmengine - INFO - Epoch(train) [30][40/940] lr: 6.0000e-02 eta: 9:48:39 time: 0.5236 data_time: 0.0797 memory: 13609 grad_norm: 2.3876 top1_acc: 0.3125 top5_acc: 0.7812 loss_cls: 1.9201 loss: 1.9201 2022/08/01 13:08:02 - mmengine - INFO - Epoch(train) [30][60/940] lr: 6.0000e-02 eta: 9:48:34 time: 0.6412 data_time: 0.0361 memory: 13609 grad_norm: 2.4295 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0478 loss: 2.0478 2022/08/01 13:08:12 - mmengine - INFO - Epoch(train) [30][80/940] lr: 6.0000e-02 eta: 9:48:21 time: 0.4876 data_time: 0.0416 memory: 13609 grad_norm: 2.4370 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9377 loss: 1.9377 2022/08/01 13:08:22 - mmengine - INFO - Epoch(train) [30][100/940] lr: 6.0000e-02 eta: 9:48:10 time: 0.5270 data_time: 0.0321 memory: 13609 grad_norm: 2.4124 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8988 loss: 1.8988 2022/08/01 13:08:31 - mmengine - INFO - Epoch(train) [30][120/940] lr: 6.0000e-02 eta: 9:47:55 time: 0.4399 data_time: 0.0372 memory: 13609 grad_norm: 2.4723 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0164 loss: 2.0164 2022/08/01 13:08:43 - mmengine - INFO - Epoch(train) [30][140/940] lr: 6.0000e-02 eta: 9:47:48 time: 0.5984 data_time: 0.0398 memory: 13609 grad_norm: 2.4622 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1106 loss: 2.1106 2022/08/01 13:08:52 - mmengine - INFO - Epoch(train) [30][160/940] lr: 6.0000e-02 eta: 9:47:35 time: 0.4774 data_time: 0.0352 memory: 13609 grad_norm: 2.3925 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0771 loss: 2.0771 2022/08/01 13:09:04 - mmengine - INFO - Epoch(train) [30][180/940] lr: 6.0000e-02 eta: 9:47:27 time: 0.5759 data_time: 0.0472 memory: 13609 grad_norm: 2.4473 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9856 loss: 1.9856 2022/08/01 13:09:14 - mmengine - INFO - Epoch(train) [30][200/940] lr: 6.0000e-02 eta: 9:47:15 time: 0.4991 data_time: 0.0320 memory: 13609 grad_norm: 2.4440 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0130 loss: 2.0130 2022/08/01 13:09:26 - mmengine - INFO - Epoch(train) [30][220/940] lr: 6.0000e-02 eta: 9:47:07 time: 0.5873 data_time: 0.0308 memory: 13609 grad_norm: 2.4391 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0080 loss: 2.0080 2022/08/01 13:09:35 - mmengine - INFO - Epoch(train) [30][240/940] lr: 6.0000e-02 eta: 9:46:52 time: 0.4472 data_time: 0.0419 memory: 13609 grad_norm: 2.4241 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9514 loss: 1.9514 2022/08/01 13:09:47 - mmengine - INFO - Epoch(train) [30][260/940] lr: 6.0000e-02 eta: 9:46:45 time: 0.6012 data_time: 0.0327 memory: 13609 grad_norm: 2.4275 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0052 loss: 2.0052 2022/08/01 13:09:55 - mmengine - INFO - Epoch(train) [30][280/940] lr: 6.0000e-02 eta: 9:46:30 time: 0.4379 data_time: 0.0334 memory: 13609 grad_norm: 2.4411 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9954 loss: 1.9954 2022/08/01 13:10:08 - mmengine - INFO - Epoch(train) [30][300/940] lr: 6.0000e-02 eta: 9:46:25 time: 0.6431 data_time: 0.0368 memory: 13609 grad_norm: 2.4069 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0729 loss: 2.0729 2022/08/01 13:10:16 - mmengine - INFO - Epoch(train) [30][320/940] lr: 6.0000e-02 eta: 9:46:08 time: 0.3948 data_time: 0.0358 memory: 13609 grad_norm: 2.4047 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.8803 loss: 1.8803 2022/08/01 13:10:27 - mmengine - INFO - Epoch(train) [30][340/940] lr: 6.0000e-02 eta: 9:45:59 time: 0.5679 data_time: 0.0363 memory: 13609 grad_norm: 2.4440 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2451 loss: 2.2451 2022/08/01 13:10:38 - mmengine - INFO - Epoch(train) [30][360/940] lr: 6.0000e-02 eta: 9:45:48 time: 0.5156 data_time: 0.0344 memory: 13609 grad_norm: 2.4945 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.2091 loss: 2.2091 2022/08/01 13:10:49 - mmengine - INFO - Epoch(train) [30][380/940] lr: 6.0000e-02 eta: 9:45:39 time: 0.5716 data_time: 0.0423 memory: 13609 grad_norm: 2.4712 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.0946 loss: 2.0946 2022/08/01 13:10:59 - mmengine - INFO - Epoch(train) [30][400/940] lr: 6.0000e-02 eta: 9:45:26 time: 0.4738 data_time: 0.0342 memory: 13609 grad_norm: 2.4637 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1765 loss: 2.1765 2022/08/01 13:11:10 - mmengine - INFO - Epoch(train) [30][420/940] lr: 6.0000e-02 eta: 9:45:17 time: 0.5512 data_time: 0.0410 memory: 13609 grad_norm: 2.4166 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9262 loss: 1.9262 2022/08/01 13:11:20 - mmengine - INFO - Epoch(train) [30][440/940] lr: 6.0000e-02 eta: 9:45:05 time: 0.5124 data_time: 0.0389 memory: 13609 grad_norm: 2.4368 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.0371 loss: 2.0371 2022/08/01 13:11:30 - mmengine - INFO - Epoch(train) [30][460/940] lr: 6.0000e-02 eta: 9:44:54 time: 0.5229 data_time: 0.0390 memory: 13609 grad_norm: 2.4361 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8942 loss: 1.8942 2022/08/01 13:11:40 - mmengine - INFO - Epoch(train) [30][480/940] lr: 6.0000e-02 eta: 9:44:42 time: 0.5009 data_time: 0.0337 memory: 13609 grad_norm: 2.5052 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1835 loss: 2.1835 2022/08/01 13:11:51 - mmengine - INFO - Epoch(train) [30][500/940] lr: 6.0000e-02 eta: 9:44:32 time: 0.5385 data_time: 0.0308 memory: 13609 grad_norm: 2.4161 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1387 loss: 2.1387 2022/08/01 13:12:02 - mmengine - INFO - Epoch(train) [30][520/940] lr: 6.0000e-02 eta: 9:44:21 time: 0.5127 data_time: 0.0395 memory: 13609 grad_norm: 2.4125 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.0241 loss: 2.0241 2022/08/01 13:12:13 - mmengine - INFO - Epoch(train) [30][540/940] lr: 6.0000e-02 eta: 9:44:12 time: 0.5713 data_time: 0.0342 memory: 13609 grad_norm: 2.4544 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9451 loss: 1.9451 2022/08/01 13:12:23 - mmengine - INFO - Epoch(train) [30][560/940] lr: 6.0000e-02 eta: 9:44:00 time: 0.4904 data_time: 0.0449 memory: 13609 grad_norm: 2.4498 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1145 loss: 2.1145 2022/08/01 13:12:35 - mmengine - INFO - Epoch(train) [30][580/940] lr: 6.0000e-02 eta: 9:43:52 time: 0.5966 data_time: 0.0351 memory: 13609 grad_norm: 2.4431 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1054 loss: 2.1054 2022/08/01 13:12:45 - mmengine - INFO - Epoch(train) [30][600/940] lr: 6.0000e-02 eta: 9:43:41 time: 0.5104 data_time: 0.0349 memory: 13609 grad_norm: 2.4576 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9724 loss: 1.9724 2022/08/01 13:12:56 - mmengine - INFO - Epoch(train) [30][620/940] lr: 6.0000e-02 eta: 9:43:31 time: 0.5511 data_time: 0.0323 memory: 13609 grad_norm: 2.4732 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0765 loss: 2.0765 2022/08/01 13:13:05 - mmengine - INFO - Epoch(train) [30][640/940] lr: 6.0000e-02 eta: 9:43:17 time: 0.4623 data_time: 0.0402 memory: 13609 grad_norm: 2.4700 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1565 loss: 2.1565 2022/08/01 13:13:17 - mmengine - INFO - Epoch(train) [30][660/940] lr: 6.0000e-02 eta: 9:43:09 time: 0.5775 data_time: 0.0368 memory: 13609 grad_norm: 2.4969 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2673 loss: 2.2673 2022/08/01 13:13:27 - mmengine - INFO - Epoch(train) [30][680/940] lr: 6.0000e-02 eta: 9:42:57 time: 0.4917 data_time: 0.0367 memory: 13609 grad_norm: 2.4322 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.0173 loss: 2.0173 2022/08/01 13:13:37 - mmengine - INFO - Epoch(train) [30][700/940] lr: 6.0000e-02 eta: 9:42:47 time: 0.5432 data_time: 0.0353 memory: 13609 grad_norm: 2.4431 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.2030 loss: 2.2030 2022/08/01 13:13:48 - mmengine - INFO - Epoch(train) [30][720/940] lr: 6.0000e-02 eta: 9:42:35 time: 0.5128 data_time: 0.0392 memory: 13609 grad_norm: 2.4012 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1792 loss: 2.1792 2022/08/01 13:13:59 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:13:59 - mmengine - INFO - Epoch(train) [30][740/940] lr: 6.0000e-02 eta: 9:42:27 time: 0.5762 data_time: 0.0359 memory: 13609 grad_norm: 2.3863 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.9866 loss: 1.9866 2022/08/01 13:14:09 - mmengine - INFO - Epoch(train) [30][760/940] lr: 6.0000e-02 eta: 9:42:15 time: 0.4895 data_time: 0.0360 memory: 13609 grad_norm: 2.4426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1575 loss: 2.1575 2022/08/01 13:14:20 - mmengine - INFO - Epoch(train) [30][780/940] lr: 6.0000e-02 eta: 9:42:05 time: 0.5509 data_time: 0.0356 memory: 13609 grad_norm: 2.4877 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2165 loss: 2.2165 2022/08/01 13:14:30 - mmengine - INFO - Epoch(train) [30][800/940] lr: 6.0000e-02 eta: 9:41:52 time: 0.4880 data_time: 0.0369 memory: 13609 grad_norm: 2.3999 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0654 loss: 2.0654 2022/08/01 13:14:41 - mmengine - INFO - Epoch(train) [30][820/940] lr: 6.0000e-02 eta: 9:41:44 time: 0.5675 data_time: 0.0352 memory: 13609 grad_norm: 2.4248 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1430 loss: 2.1430 2022/08/01 13:14:51 - mmengine - INFO - Epoch(train) [30][840/940] lr: 6.0000e-02 eta: 9:41:31 time: 0.4771 data_time: 0.0396 memory: 13609 grad_norm: 2.4767 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1410 loss: 2.1410 2022/08/01 13:15:02 - mmengine - INFO - Epoch(train) [30][860/940] lr: 6.0000e-02 eta: 9:41:21 time: 0.5605 data_time: 0.0352 memory: 13609 grad_norm: 2.4530 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1452 loss: 2.1452 2022/08/01 13:15:12 - mmengine - INFO - Epoch(train) [30][880/940] lr: 6.0000e-02 eta: 9:41:09 time: 0.4840 data_time: 0.0386 memory: 13609 grad_norm: 2.4602 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.1036 loss: 2.1036 2022/08/01 13:15:22 - mmengine - INFO - Epoch(train) [30][900/940] lr: 6.0000e-02 eta: 9:40:58 time: 0.5327 data_time: 0.0351 memory: 13609 grad_norm: 2.4498 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1459 loss: 2.1459 2022/08/01 13:15:33 - mmengine - INFO - Epoch(train) [30][920/940] lr: 6.0000e-02 eta: 9:40:49 time: 0.5474 data_time: 0.0355 memory: 13609 grad_norm: 2.4667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1372 loss: 2.1372 2022/08/01 13:15:42 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:15:42 - mmengine - INFO - Epoch(train) [30][940/940] lr: 6.0000e-02 eta: 9:40:34 time: 0.4401 data_time: 0.0257 memory: 13609 grad_norm: 2.5076 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9439 loss: 1.9439 2022/08/01 13:15:42 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/01 13:17:31 - mmengine - INFO - Epoch(val) [30][20/78] eta: 0:05:08 time: 5.3213 data_time: 4.5802 memory: 19674 2022/08/01 13:18:42 - mmengine - INFO - Epoch(val) [30][40/78] eta: 0:02:16 time: 3.5815 data_time: 2.8377 memory: 19674 2022/08/01 13:20:18 - mmengine - INFO - Epoch(val) [30][60/78] eta: 0:01:26 time: 4.8041 data_time: 4.0488 memory: 19674 2022/08/01 13:21:29 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.5662 acc/top5: 0.8059 acc/mean1: 0.5660 2022/08/01 13:21:43 - mmengine - INFO - Epoch(train) [31][20/940] lr: 6.0000e-02 eta: 9:40:32 time: 0.7134 data_time: 0.3332 memory: 19674 grad_norm: 2.4822 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2655 loss: 2.2655 2022/08/01 13:21:53 - mmengine - INFO - Epoch(train) [31][40/940] lr: 6.0000e-02 eta: 9:40:19 time: 0.4904 data_time: 0.0712 memory: 13609 grad_norm: 2.3700 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0664 loss: 2.0664 2022/08/01 13:22:04 - mmengine - INFO - Epoch(train) [31][60/940] lr: 6.0000e-02 eta: 9:40:11 time: 0.5657 data_time: 0.0370 memory: 13609 grad_norm: 2.3927 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 2.1590 loss: 2.1590 2022/08/01 13:22:15 - mmengine - INFO - Epoch(train) [31][80/940] lr: 6.0000e-02 eta: 9:39:59 time: 0.5166 data_time: 0.0316 memory: 13609 grad_norm: 2.3757 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0078 loss: 2.0078 2022/08/01 13:22:26 - mmengine - INFO - Epoch(train) [31][100/940] lr: 6.0000e-02 eta: 9:39:51 time: 0.5694 data_time: 0.0308 memory: 13609 grad_norm: 2.4586 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0302 loss: 2.0302 2022/08/01 13:22:36 - mmengine - INFO - Epoch(train) [31][120/940] lr: 6.0000e-02 eta: 9:39:39 time: 0.5015 data_time: 0.0328 memory: 13609 grad_norm: 2.4569 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.9324 loss: 1.9324 2022/08/01 13:22:47 - mmengine - INFO - Epoch(train) [31][140/940] lr: 6.0000e-02 eta: 9:39:30 time: 0.5662 data_time: 0.0327 memory: 13609 grad_norm: 2.4103 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1711 loss: 2.1711 2022/08/01 13:22:57 - mmengine - INFO - Epoch(train) [31][160/940] lr: 6.0000e-02 eta: 9:39:17 time: 0.4918 data_time: 0.0300 memory: 13609 grad_norm: 2.4660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0022 loss: 2.0022 2022/08/01 13:23:08 - mmengine - INFO - Epoch(train) [31][180/940] lr: 6.0000e-02 eta: 9:39:07 time: 0.5424 data_time: 0.0660 memory: 13609 grad_norm: 2.4856 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1117 loss: 2.1117 2022/08/01 13:23:18 - mmengine - INFO - Epoch(train) [31][200/940] lr: 6.0000e-02 eta: 9:38:55 time: 0.4981 data_time: 0.0346 memory: 13609 grad_norm: 2.4553 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0468 loss: 2.0468 2022/08/01 13:23:30 - mmengine - INFO - Epoch(train) [31][220/940] lr: 6.0000e-02 eta: 9:38:47 time: 0.5817 data_time: 0.0353 memory: 13609 grad_norm: 2.5208 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.1961 loss: 2.1961 2022/08/01 13:23:39 - mmengine - INFO - Epoch(train) [31][240/940] lr: 6.0000e-02 eta: 9:38:34 time: 0.4802 data_time: 0.0402 memory: 13609 grad_norm: 2.4463 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1156 loss: 2.1156 2022/08/01 13:23:51 - mmengine - INFO - Epoch(train) [31][260/940] lr: 6.0000e-02 eta: 9:38:26 time: 0.5829 data_time: 0.0382 memory: 13609 grad_norm: 2.4522 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0263 loss: 2.0263 2022/08/01 13:24:01 - mmengine - INFO - Epoch(train) [31][280/940] lr: 6.0000e-02 eta: 9:38:15 time: 0.5063 data_time: 0.0289 memory: 13609 grad_norm: 2.4257 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9762 loss: 1.9762 2022/08/01 13:24:12 - mmengine - INFO - Epoch(train) [31][300/940] lr: 6.0000e-02 eta: 9:38:04 time: 0.5260 data_time: 0.0355 memory: 13609 grad_norm: 2.4341 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1393 loss: 2.1393 2022/08/01 13:24:22 - mmengine - INFO - Epoch(train) [31][320/940] lr: 6.0000e-02 eta: 9:37:52 time: 0.5046 data_time: 0.0357 memory: 13609 grad_norm: 2.4754 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.1830 loss: 2.1830 2022/08/01 13:24:33 - mmengine - INFO - Epoch(train) [31][340/940] lr: 6.0000e-02 eta: 9:37:43 time: 0.5552 data_time: 0.0395 memory: 13609 grad_norm: 2.3932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0763 loss: 2.0763 2022/08/01 13:24:42 - mmengine - INFO - Epoch(train) [31][360/940] lr: 6.0000e-02 eta: 9:37:30 time: 0.4778 data_time: 0.0403 memory: 13609 grad_norm: 2.4764 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.0474 loss: 2.0474 2022/08/01 13:24:55 - mmengine - INFO - Epoch(train) [31][380/940] lr: 6.0000e-02 eta: 9:37:23 time: 0.6180 data_time: 0.0341 memory: 13609 grad_norm: 2.4363 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.9438 loss: 1.9438 2022/08/01 13:25:04 - mmengine - INFO - Epoch(train) [31][400/940] lr: 6.0000e-02 eta: 9:37:10 time: 0.4650 data_time: 0.0365 memory: 13609 grad_norm: 2.4762 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0450 loss: 2.0450 2022/08/01 13:25:15 - mmengine - INFO - Epoch(train) [31][420/940] lr: 6.0000e-02 eta: 9:37:01 time: 0.5674 data_time: 0.0361 memory: 13609 grad_norm: 2.4787 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 2.1330 loss: 2.1330 2022/08/01 13:25:25 - mmengine - INFO - Epoch(train) [31][440/940] lr: 6.0000e-02 eta: 9:36:48 time: 0.4789 data_time: 0.0410 memory: 13609 grad_norm: 2.4668 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1137 loss: 2.1137 2022/08/01 13:25:35 - mmengine - INFO - Epoch(train) [31][460/940] lr: 6.0000e-02 eta: 9:36:36 time: 0.5077 data_time: 0.0313 memory: 13609 grad_norm: 2.4477 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0690 loss: 2.0690 2022/08/01 13:25:45 - mmengine - INFO - Epoch(train) [31][480/940] lr: 6.0000e-02 eta: 9:36:24 time: 0.4966 data_time: 0.0339 memory: 13609 grad_norm: 2.4527 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0963 loss: 2.0963 2022/08/01 13:25:56 - mmengine - INFO - Epoch(train) [31][500/940] lr: 6.0000e-02 eta: 9:36:14 time: 0.5324 data_time: 0.0355 memory: 13609 grad_norm: 2.4802 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.1569 loss: 2.1569 2022/08/01 13:26:07 - mmengine - INFO - Epoch(train) [31][520/940] lr: 6.0000e-02 eta: 9:36:04 time: 0.5441 data_time: 0.0325 memory: 13609 grad_norm: 2.4914 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.9487 loss: 1.9487 2022/08/01 13:26:17 - mmengine - INFO - Epoch(train) [31][540/940] lr: 6.0000e-02 eta: 9:35:53 time: 0.5185 data_time: 0.0986 memory: 13609 grad_norm: 2.4385 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0691 loss: 2.0691 2022/08/01 13:26:28 - mmengine - INFO - Epoch(train) [31][560/940] lr: 6.0000e-02 eta: 9:35:42 time: 0.5314 data_time: 0.0636 memory: 13609 grad_norm: 2.4787 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8994 loss: 1.8994 2022/08/01 13:26:39 - mmengine - INFO - Epoch(train) [31][580/940] lr: 6.0000e-02 eta: 9:35:33 time: 0.5545 data_time: 0.0595 memory: 13609 grad_norm: 2.4769 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.0530 loss: 2.0530 2022/08/01 13:26:48 - mmengine - INFO - Epoch(train) [31][600/940] lr: 6.0000e-02 eta: 9:35:19 time: 0.4654 data_time: 0.0402 memory: 13609 grad_norm: 2.4333 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0606 loss: 2.0606 2022/08/01 13:26:59 - mmengine - INFO - Epoch(train) [31][620/940] lr: 6.0000e-02 eta: 9:35:09 time: 0.5425 data_time: 0.0356 memory: 13609 grad_norm: 2.4406 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0880 loss: 2.0880 2022/08/01 13:27:09 - mmengine - INFO - Epoch(train) [31][640/940] lr: 6.0000e-02 eta: 9:34:57 time: 0.4869 data_time: 0.0337 memory: 13609 grad_norm: 2.4667 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9412 loss: 1.9412 2022/08/01 13:27:20 - mmengine - INFO - Epoch(train) [31][660/940] lr: 6.0000e-02 eta: 9:34:48 time: 0.5700 data_time: 0.0384 memory: 13609 grad_norm: 2.4391 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0633 loss: 2.0633 2022/08/01 13:27:30 - mmengine - INFO - Epoch(train) [31][680/940] lr: 6.0000e-02 eta: 9:34:36 time: 0.4978 data_time: 0.0355 memory: 13609 grad_norm: 2.4519 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0379 loss: 2.0379 2022/08/01 13:27:41 - mmengine - INFO - Epoch(train) [31][700/940] lr: 6.0000e-02 eta: 9:34:28 time: 0.5775 data_time: 0.0416 memory: 13609 grad_norm: 2.4398 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.0329 loss: 2.0329 2022/08/01 13:27:52 - mmengine - INFO - Epoch(train) [31][720/940] lr: 6.0000e-02 eta: 9:34:16 time: 0.5131 data_time: 0.0320 memory: 13609 grad_norm: 2.4692 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0970 loss: 2.0970 2022/08/01 13:28:03 - mmengine - INFO - Epoch(train) [31][740/940] lr: 6.0000e-02 eta: 9:34:07 time: 0.5638 data_time: 0.0386 memory: 13609 grad_norm: 2.4707 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0921 loss: 2.0921 2022/08/01 13:28:13 - mmengine - INFO - Epoch(train) [31][760/940] lr: 6.0000e-02 eta: 9:33:55 time: 0.4939 data_time: 0.0431 memory: 13609 grad_norm: 2.4438 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0154 loss: 2.0154 2022/08/01 13:28:24 - mmengine - INFO - Epoch(train) [31][780/940] lr: 6.0000e-02 eta: 9:33:46 time: 0.5562 data_time: 0.0301 memory: 13609 grad_norm: 2.4865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0461 loss: 2.0461 2022/08/01 13:28:34 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:28:34 - mmengine - INFO - Epoch(train) [31][800/940] lr: 6.0000e-02 eta: 9:33:33 time: 0.4899 data_time: 0.0356 memory: 13609 grad_norm: 2.4608 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1501 loss: 2.1501 2022/08/01 13:28:45 - mmengine - INFO - Epoch(train) [31][820/940] lr: 6.0000e-02 eta: 9:33:24 time: 0.5571 data_time: 0.0268 memory: 13609 grad_norm: 2.4435 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1897 loss: 2.1897 2022/08/01 13:28:55 - mmengine - INFO - Epoch(train) [31][840/940] lr: 6.0000e-02 eta: 9:33:11 time: 0.4862 data_time: 0.0358 memory: 13609 grad_norm: 2.4167 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0691 loss: 2.0691 2022/08/01 13:29:05 - mmengine - INFO - Epoch(train) [31][860/940] lr: 6.0000e-02 eta: 9:33:01 time: 0.5293 data_time: 0.0532 memory: 13609 grad_norm: 2.4132 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0075 loss: 2.0075 2022/08/01 13:29:15 - mmengine - INFO - Epoch(train) [31][880/940] lr: 6.0000e-02 eta: 9:32:49 time: 0.5071 data_time: 0.0357 memory: 13609 grad_norm: 2.4447 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1176 loss: 2.1176 2022/08/01 13:29:26 - mmengine - INFO - Epoch(train) [31][900/940] lr: 6.0000e-02 eta: 9:32:39 time: 0.5327 data_time: 0.0362 memory: 13609 grad_norm: 2.4991 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0946 loss: 2.0946 2022/08/01 13:29:37 - mmengine - INFO - Epoch(train) [31][920/940] lr: 6.0000e-02 eta: 9:32:29 time: 0.5454 data_time: 0.0364 memory: 13609 grad_norm: 2.4655 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.0092 loss: 2.0092 2022/08/01 13:29:46 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:29:46 - mmengine - INFO - Epoch(train) [31][940/940] lr: 6.0000e-02 eta: 9:32:15 time: 0.4538 data_time: 0.0648 memory: 13609 grad_norm: 2.6086 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1638 loss: 2.1638 2022/08/01 13:31:32 - mmengine - INFO - Epoch(val) [31][20/78] eta: 0:05:05 time: 5.2758 data_time: 4.5097 memory: 19674 2022/08/01 13:32:43 - mmengine - INFO - Epoch(val) [31][40/78] eta: 0:02:15 time: 3.5777 data_time: 2.8296 memory: 19674 2022/08/01 13:34:20 - mmengine - INFO - Epoch(val) [31][60/78] eta: 0:01:26 time: 4.8186 data_time: 4.0735 memory: 19674 2022/08/01 13:35:33 - mmengine - INFO - Epoch(val) [31][78/78] acc/top1: 0.5822 acc/top5: 0.8174 acc/mean1: 0.5820 2022/08/01 13:35:47 - mmengine - INFO - Epoch(train) [32][20/940] lr: 6.0000e-02 eta: 9:32:13 time: 0.7172 data_time: 0.3994 memory: 19674 grad_norm: 2.4656 top1_acc: 0.3438 top5_acc: 0.5000 loss_cls: 2.1196 loss: 2.1196 2022/08/01 13:35:57 - mmengine - INFO - Epoch(train) [32][40/940] lr: 6.0000e-02 eta: 9:32:00 time: 0.4756 data_time: 0.1254 memory: 13609 grad_norm: 2.4324 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9691 loss: 1.9691 2022/08/01 13:36:09 - mmengine - INFO - Epoch(train) [32][60/940] lr: 6.0000e-02 eta: 9:31:51 time: 0.5829 data_time: 0.2474 memory: 13609 grad_norm: 2.4118 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0123 loss: 2.0123 2022/08/01 13:36:18 - mmengine - INFO - Epoch(train) [32][80/940] lr: 6.0000e-02 eta: 9:31:38 time: 0.4623 data_time: 0.1224 memory: 13609 grad_norm: 2.4139 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.9439 loss: 1.9439 2022/08/01 13:36:29 - mmengine - INFO - Epoch(train) [32][100/940] lr: 6.0000e-02 eta: 9:31:30 time: 0.5837 data_time: 0.1533 memory: 13609 grad_norm: 2.4267 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9990 loss: 1.9990 2022/08/01 13:36:39 - mmengine - INFO - Epoch(train) [32][120/940] lr: 6.0000e-02 eta: 9:31:18 time: 0.5039 data_time: 0.0623 memory: 13609 grad_norm: 2.4312 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.0904 loss: 2.0904 2022/08/01 13:36:50 - mmengine - INFO - Epoch(train) [32][140/940] lr: 6.0000e-02 eta: 9:31:08 time: 0.5451 data_time: 0.0413 memory: 13609 grad_norm: 2.5115 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1468 loss: 2.1468 2022/08/01 13:37:00 - mmengine - INFO - Epoch(train) [32][160/940] lr: 6.0000e-02 eta: 9:30:55 time: 0.4663 data_time: 0.0290 memory: 13609 grad_norm: 2.5161 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0965 loss: 2.0965 2022/08/01 13:37:11 - mmengine - INFO - Epoch(train) [32][180/940] lr: 6.0000e-02 eta: 9:30:46 time: 0.5682 data_time: 0.1016 memory: 13609 grad_norm: 2.4707 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.0071 loss: 2.0071 2022/08/01 13:37:21 - mmengine - INFO - Epoch(train) [32][200/940] lr: 6.0000e-02 eta: 9:30:33 time: 0.4751 data_time: 0.0895 memory: 13609 grad_norm: 2.4784 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0155 loss: 2.0155 2022/08/01 13:37:33 - mmengine - INFO - Epoch(train) [32][220/940] lr: 6.0000e-02 eta: 9:30:26 time: 0.6189 data_time: 0.0693 memory: 13609 grad_norm: 2.4660 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9964 loss: 1.9964 2022/08/01 13:37:42 - mmengine - INFO - Epoch(train) [32][240/940] lr: 6.0000e-02 eta: 9:30:12 time: 0.4460 data_time: 0.0313 memory: 13609 grad_norm: 2.4854 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.0663 loss: 2.0663 2022/08/01 13:37:53 - mmengine - INFO - Epoch(train) [32][260/940] lr: 6.0000e-02 eta: 9:30:04 time: 0.5821 data_time: 0.0334 memory: 13609 grad_norm: 2.4214 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9543 loss: 1.9543 2022/08/01 13:38:04 - mmengine - INFO - Epoch(train) [32][280/940] lr: 6.0000e-02 eta: 9:29:53 time: 0.5343 data_time: 0.0437 memory: 13609 grad_norm: 2.4723 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9731 loss: 1.9731 2022/08/01 13:38:15 - mmengine - INFO - Epoch(train) [32][300/940] lr: 6.0000e-02 eta: 9:29:44 time: 0.5472 data_time: 0.0386 memory: 13609 grad_norm: 2.4659 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9640 loss: 1.9640 2022/08/01 13:38:25 - mmengine - INFO - Epoch(train) [32][320/940] lr: 6.0000e-02 eta: 9:29:30 time: 0.4740 data_time: 0.0356 memory: 13609 grad_norm: 2.4344 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.2171 loss: 2.2171 2022/08/01 13:38:36 - mmengine - INFO - Epoch(train) [32][340/940] lr: 6.0000e-02 eta: 9:29:21 time: 0.5642 data_time: 0.0399 memory: 13609 grad_norm: 2.4731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9746 loss: 1.9746 2022/08/01 13:38:45 - mmengine - INFO - Epoch(train) [32][360/940] lr: 6.0000e-02 eta: 9:29:08 time: 0.4591 data_time: 0.0294 memory: 13609 grad_norm: 2.4474 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0234 loss: 2.0234 2022/08/01 13:38:57 - mmengine - INFO - Epoch(train) [32][380/940] lr: 6.0000e-02 eta: 9:28:59 time: 0.5743 data_time: 0.0334 memory: 13609 grad_norm: 2.5137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0627 loss: 2.0627 2022/08/01 13:39:07 - mmengine - INFO - Epoch(train) [32][400/940] lr: 6.0000e-02 eta: 9:28:48 time: 0.5170 data_time: 0.0384 memory: 13609 grad_norm: 2.4452 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.1370 loss: 2.1370 2022/08/01 13:39:18 - mmengine - INFO - Epoch(train) [32][420/940] lr: 6.0000e-02 eta: 9:28:38 time: 0.5392 data_time: 0.0377 memory: 13609 grad_norm: 2.5170 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 2.1896 loss: 2.1896 2022/08/01 13:39:27 - mmengine - INFO - Epoch(train) [32][440/940] lr: 6.0000e-02 eta: 9:28:25 time: 0.4896 data_time: 0.0367 memory: 13609 grad_norm: 2.5142 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.3324 loss: 2.3324 2022/08/01 13:39:39 - mmengine - INFO - Epoch(train) [32][460/940] lr: 6.0000e-02 eta: 9:28:17 time: 0.5691 data_time: 0.0333 memory: 13609 grad_norm: 2.4891 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1482 loss: 2.1482 2022/08/01 13:39:49 - mmengine - INFO - Epoch(train) [32][480/940] lr: 6.0000e-02 eta: 9:28:05 time: 0.4981 data_time: 0.0309 memory: 13609 grad_norm: 2.4775 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0914 loss: 2.0914 2022/08/01 13:39:59 - mmengine - INFO - Epoch(train) [32][500/940] lr: 6.0000e-02 eta: 9:27:54 time: 0.5199 data_time: 0.0494 memory: 13609 grad_norm: 2.4853 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8842 loss: 1.8842 2022/08/01 13:40:09 - mmengine - INFO - Epoch(train) [32][520/940] lr: 6.0000e-02 eta: 9:27:42 time: 0.5122 data_time: 0.0314 memory: 13609 grad_norm: 2.4281 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1160 loss: 2.1160 2022/08/01 13:40:21 - mmengine - INFO - Epoch(train) [32][540/940] lr: 6.0000e-02 eta: 9:27:33 time: 0.5554 data_time: 0.0359 memory: 13609 grad_norm: 2.4111 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.3296 loss: 2.3296 2022/08/01 13:40:30 - mmengine - INFO - Epoch(train) [32][560/940] lr: 6.0000e-02 eta: 9:27:20 time: 0.4838 data_time: 0.0340 memory: 13609 grad_norm: 2.4724 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.3246 loss: 2.3246 2022/08/01 13:40:41 - mmengine - INFO - Epoch(train) [32][580/940] lr: 6.0000e-02 eta: 9:27:11 time: 0.5542 data_time: 0.0306 memory: 13609 grad_norm: 2.4408 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0802 loss: 2.0802 2022/08/01 13:40:52 - mmengine - INFO - Epoch(train) [32][600/940] lr: 6.0000e-02 eta: 9:27:00 time: 0.5153 data_time: 0.0372 memory: 13609 grad_norm: 2.4715 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0849 loss: 2.0849 2022/08/01 13:41:03 - mmengine - INFO - Epoch(train) [32][620/940] lr: 6.0000e-02 eta: 9:26:50 time: 0.5530 data_time: 0.0461 memory: 13609 grad_norm: 2.4274 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2059 loss: 2.2059 2022/08/01 13:41:12 - mmengine - INFO - Epoch(train) [32][640/940] lr: 6.0000e-02 eta: 9:26:37 time: 0.4757 data_time: 0.0331 memory: 13609 grad_norm: 2.4210 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1114 loss: 2.1114 2022/08/01 13:41:24 - mmengine - INFO - Epoch(train) [32][660/940] lr: 6.0000e-02 eta: 9:26:29 time: 0.5885 data_time: 0.0362 memory: 13609 grad_norm: 2.4559 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1135 loss: 2.1135 2022/08/01 13:41:34 - mmengine - INFO - Epoch(train) [32][680/940] lr: 6.0000e-02 eta: 9:26:16 time: 0.4765 data_time: 0.0321 memory: 13609 grad_norm: 2.3724 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0277 loss: 2.0277 2022/08/01 13:41:45 - mmengine - INFO - Epoch(train) [32][700/940] lr: 6.0000e-02 eta: 9:26:07 time: 0.5500 data_time: 0.0453 memory: 13609 grad_norm: 2.4630 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1428 loss: 2.1428 2022/08/01 13:41:54 - mmengine - INFO - Epoch(train) [32][720/940] lr: 6.0000e-02 eta: 9:25:53 time: 0.4602 data_time: 0.0816 memory: 13609 grad_norm: 2.4474 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1817 loss: 2.1817 2022/08/01 13:42:06 - mmengine - INFO - Epoch(train) [32][740/940] lr: 6.0000e-02 eta: 9:25:45 time: 0.5916 data_time: 0.2527 memory: 13609 grad_norm: 2.4471 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1521 loss: 2.1521 2022/08/01 13:42:14 - mmengine - INFO - Epoch(train) [32][760/940] lr: 6.0000e-02 eta: 9:25:31 time: 0.4433 data_time: 0.1201 memory: 13609 grad_norm: 2.4348 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1709 loss: 2.1709 2022/08/01 13:42:26 - mmengine - INFO - Epoch(train) [32][780/940] lr: 6.0000e-02 eta: 9:25:23 time: 0.5859 data_time: 0.1146 memory: 13609 grad_norm: 2.4450 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2436 loss: 2.2436 2022/08/01 13:42:35 - mmengine - INFO - Epoch(train) [32][800/940] lr: 6.0000e-02 eta: 9:25:09 time: 0.4625 data_time: 0.0461 memory: 13609 grad_norm: 2.3952 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1444 loss: 2.1444 2022/08/01 13:42:47 - mmengine - INFO - Epoch(train) [32][820/940] lr: 6.0000e-02 eta: 9:25:01 time: 0.5851 data_time: 0.0349 memory: 13609 grad_norm: 2.4556 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0812 loss: 2.0812 2022/08/01 13:42:57 - mmengine - INFO - Epoch(train) [32][840/940] lr: 6.0000e-02 eta: 9:24:48 time: 0.4751 data_time: 0.0355 memory: 13609 grad_norm: 2.4478 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2315 loss: 2.2315 2022/08/01 13:43:08 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:43:08 - mmengine - INFO - Epoch(train) [32][860/940] lr: 6.0000e-02 eta: 9:24:39 time: 0.5715 data_time: 0.0340 memory: 13609 grad_norm: 2.4581 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 2.0956 loss: 2.0956 2022/08/01 13:43:18 - mmengine - INFO - Epoch(train) [32][880/940] lr: 6.0000e-02 eta: 9:24:27 time: 0.4935 data_time: 0.0358 memory: 13609 grad_norm: 2.5282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1611 loss: 2.1611 2022/08/01 13:43:30 - mmengine - INFO - Epoch(train) [32][900/940] lr: 6.0000e-02 eta: 9:24:19 time: 0.5870 data_time: 0.0369 memory: 13609 grad_norm: 2.4923 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0418 loss: 2.0418 2022/08/01 13:43:40 - mmengine - INFO - Epoch(train) [32][920/940] lr: 6.0000e-02 eta: 9:24:07 time: 0.4974 data_time: 0.0289 memory: 13609 grad_norm: 2.4557 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1899 loss: 2.1899 2022/08/01 13:43:48 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:43:48 - mmengine - INFO - Epoch(train) [32][940/940] lr: 6.0000e-02 eta: 9:23:53 time: 0.4408 data_time: 0.0296 memory: 13609 grad_norm: 2.5756 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.2840 loss: 2.2840 2022/08/01 13:45:35 - mmengine - INFO - Epoch(val) [32][20/78] eta: 0:05:08 time: 5.3145 data_time: 4.5454 memory: 19674 2022/08/01 13:46:47 - mmengine - INFO - Epoch(val) [32][40/78] eta: 0:02:17 time: 3.6300 data_time: 2.8752 memory: 19674 2022/08/01 13:48:23 - mmengine - INFO - Epoch(val) [32][60/78] eta: 0:01:26 time: 4.7798 data_time: 4.0374 memory: 19674 2022/08/01 13:49:36 - mmengine - INFO - Epoch(val) [32][78/78] acc/top1: 0.5855 acc/top5: 0.8197 acc/mean1: 0.5852 2022/08/01 13:49:49 - mmengine - INFO - Epoch(train) [33][20/940] lr: 6.0000e-02 eta: 9:23:48 time: 0.6778 data_time: 0.3857 memory: 19674 grad_norm: 2.4356 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.0601 loss: 2.0601 2022/08/01 13:49:59 - mmengine - INFO - Epoch(train) [33][40/940] lr: 6.0000e-02 eta: 9:23:37 time: 0.5047 data_time: 0.1730 memory: 13609 grad_norm: 2.4139 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1149 loss: 2.1149 2022/08/01 13:50:11 - mmengine - INFO - Epoch(train) [33][60/940] lr: 6.0000e-02 eta: 9:23:28 time: 0.5750 data_time: 0.0981 memory: 13609 grad_norm: 2.4332 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.9019 loss: 1.9019 2022/08/01 13:50:21 - mmengine - INFO - Epoch(train) [33][80/940] lr: 6.0000e-02 eta: 9:23:17 time: 0.5114 data_time: 0.0437 memory: 13609 grad_norm: 2.4991 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1814 loss: 2.1814 2022/08/01 13:50:34 - mmengine - INFO - Epoch(train) [33][100/940] lr: 6.0000e-02 eta: 9:23:11 time: 0.6427 data_time: 0.0358 memory: 13609 grad_norm: 2.4595 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 1.9366 loss: 1.9366 2022/08/01 13:50:45 - mmengine - INFO - Epoch(train) [33][120/940] lr: 6.0000e-02 eta: 9:23:00 time: 0.5244 data_time: 0.0277 memory: 13609 grad_norm: 2.4577 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 2.0899 loss: 2.0899 2022/08/01 13:50:55 - mmengine - INFO - Epoch(train) [33][140/940] lr: 6.0000e-02 eta: 9:22:49 time: 0.5130 data_time: 0.0363 memory: 13609 grad_norm: 2.4967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0849 loss: 2.0849 2022/08/01 13:51:05 - mmengine - INFO - Epoch(train) [33][160/940] lr: 6.0000e-02 eta: 9:22:37 time: 0.5010 data_time: 0.0448 memory: 13609 grad_norm: 2.4316 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1912 loss: 2.1912 2022/08/01 13:51:16 - mmengine - INFO - Epoch(train) [33][180/940] lr: 6.0000e-02 eta: 9:22:28 time: 0.5563 data_time: 0.0303 memory: 13609 grad_norm: 2.4651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0987 loss: 2.0987 2022/08/01 13:51:25 - mmengine - INFO - Epoch(train) [33][200/940] lr: 6.0000e-02 eta: 9:22:14 time: 0.4684 data_time: 0.0444 memory: 13609 grad_norm: 2.4741 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1076 loss: 2.1076 2022/08/01 13:51:36 - mmengine - INFO - Epoch(train) [33][220/940] lr: 6.0000e-02 eta: 9:22:05 time: 0.5497 data_time: 0.0354 memory: 13609 grad_norm: 2.4964 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9408 loss: 1.9408 2022/08/01 13:51:46 - mmengine - INFO - Epoch(train) [33][240/940] lr: 6.0000e-02 eta: 9:21:52 time: 0.4726 data_time: 0.0332 memory: 13609 grad_norm: 2.4701 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9869 loss: 1.9869 2022/08/01 13:51:57 - mmengine - INFO - Epoch(train) [33][260/940] lr: 6.0000e-02 eta: 9:21:43 time: 0.5676 data_time: 0.0357 memory: 13609 grad_norm: 2.4537 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0914 loss: 2.0914 2022/08/01 13:52:07 - mmengine - INFO - Epoch(train) [33][280/940] lr: 6.0000e-02 eta: 9:21:30 time: 0.4867 data_time: 0.0386 memory: 13609 grad_norm: 2.4687 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1634 loss: 2.1634 2022/08/01 13:52:19 - mmengine - INFO - Epoch(train) [33][300/940] lr: 6.0000e-02 eta: 9:21:22 time: 0.5823 data_time: 0.0351 memory: 13609 grad_norm: 2.4333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0946 loss: 2.0946 2022/08/01 13:52:28 - mmengine - INFO - Epoch(train) [33][320/940] lr: 6.0000e-02 eta: 9:21:09 time: 0.4799 data_time: 0.0372 memory: 13609 grad_norm: 2.4180 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0606 loss: 2.0606 2022/08/01 13:52:39 - mmengine - INFO - Epoch(train) [33][340/940] lr: 6.0000e-02 eta: 9:20:59 time: 0.5386 data_time: 0.0307 memory: 13609 grad_norm: 2.4725 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1045 loss: 2.1045 2022/08/01 13:52:49 - mmengine - INFO - Epoch(train) [33][360/940] lr: 6.0000e-02 eta: 9:20:48 time: 0.5093 data_time: 0.0502 memory: 13609 grad_norm: 2.4341 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0034 loss: 2.0034 2022/08/01 13:53:00 - mmengine - INFO - Epoch(train) [33][380/940] lr: 6.0000e-02 eta: 9:20:38 time: 0.5535 data_time: 0.0300 memory: 13609 grad_norm: 2.4856 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 2.1366 loss: 2.1366 2022/08/01 13:53:11 - mmengine - INFO - Epoch(train) [33][400/940] lr: 6.0000e-02 eta: 9:20:27 time: 0.5266 data_time: 0.0568 memory: 13609 grad_norm: 2.4761 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1607 loss: 2.1607 2022/08/01 13:53:22 - mmengine - INFO - Epoch(train) [33][420/940] lr: 6.0000e-02 eta: 9:20:19 time: 0.5819 data_time: 0.0322 memory: 13609 grad_norm: 2.4475 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0469 loss: 2.0469 2022/08/01 13:53:32 - mmengine - INFO - Epoch(train) [33][440/940] lr: 6.0000e-02 eta: 9:20:06 time: 0.4654 data_time: 0.0340 memory: 13609 grad_norm: 2.4649 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1610 loss: 2.1610 2022/08/01 13:53:43 - mmengine - INFO - Epoch(train) [33][460/940] lr: 6.0000e-02 eta: 9:19:56 time: 0.5453 data_time: 0.0308 memory: 13609 grad_norm: 2.4480 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9201 loss: 1.9201 2022/08/01 13:53:53 - mmengine - INFO - Epoch(train) [33][480/940] lr: 6.0000e-02 eta: 9:19:44 time: 0.5017 data_time: 0.0397 memory: 13609 grad_norm: 2.4167 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.9997 loss: 1.9997 2022/08/01 13:54:03 - mmengine - INFO - Epoch(train) [33][500/940] lr: 6.0000e-02 eta: 9:19:33 time: 0.5183 data_time: 0.0287 memory: 13609 grad_norm: 2.4672 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.1276 loss: 2.1276 2022/08/01 13:54:14 - mmengine - INFO - Epoch(train) [33][520/940] lr: 6.0000e-02 eta: 9:19:23 time: 0.5522 data_time: 0.1124 memory: 13609 grad_norm: 2.4434 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0982 loss: 2.0982 2022/08/01 13:54:24 - mmengine - INFO - Epoch(train) [33][540/940] lr: 6.0000e-02 eta: 9:19:11 time: 0.4939 data_time: 0.1625 memory: 13609 grad_norm: 2.4399 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.0756 loss: 2.0756 2022/08/01 13:54:35 - mmengine - INFO - Epoch(train) [33][560/940] lr: 6.0000e-02 eta: 9:19:02 time: 0.5560 data_time: 0.2417 memory: 13609 grad_norm: 2.4238 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0338 loss: 2.0338 2022/08/01 13:54:45 - mmengine - INFO - Epoch(train) [33][580/940] lr: 6.0000e-02 eta: 9:18:50 time: 0.4969 data_time: 0.1634 memory: 13609 grad_norm: 2.4467 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1574 loss: 2.1574 2022/08/01 13:54:57 - mmengine - INFO - Epoch(train) [33][600/940] lr: 6.0000e-02 eta: 9:18:42 time: 0.5914 data_time: 0.2752 memory: 13609 grad_norm: 2.4307 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1561 loss: 2.1561 2022/08/01 13:55:06 - mmengine - INFO - Epoch(train) [33][620/940] lr: 6.0000e-02 eta: 9:18:28 time: 0.4551 data_time: 0.1275 memory: 13609 grad_norm: 2.4462 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0994 loss: 2.0994 2022/08/01 13:55:17 - mmengine - INFO - Epoch(train) [33][640/940] lr: 6.0000e-02 eta: 9:18:19 time: 0.5512 data_time: 0.2320 memory: 13609 grad_norm: 2.4241 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0964 loss: 2.0964 2022/08/01 13:55:26 - mmengine - INFO - Epoch(train) [33][660/940] lr: 6.0000e-02 eta: 9:18:06 time: 0.4695 data_time: 0.1086 memory: 13609 grad_norm: 2.4878 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1202 loss: 2.1202 2022/08/01 13:55:37 - mmengine - INFO - Epoch(train) [33][680/940] lr: 6.0000e-02 eta: 9:17:55 time: 0.5392 data_time: 0.1983 memory: 13609 grad_norm: 2.4632 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1989 loss: 2.1989 2022/08/01 13:55:48 - mmengine - INFO - Epoch(train) [33][700/940] lr: 6.0000e-02 eta: 9:17:45 time: 0.5468 data_time: 0.0561 memory: 13609 grad_norm: 2.4745 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 2.0656 loss: 2.0656 2022/08/01 13:55:58 - mmengine - INFO - Epoch(train) [33][720/940] lr: 6.0000e-02 eta: 9:17:34 time: 0.4966 data_time: 0.0414 memory: 13609 grad_norm: 2.4405 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.0309 loss: 2.0309 2022/08/01 13:56:09 - mmengine - INFO - Epoch(train) [33][740/940] lr: 6.0000e-02 eta: 9:17:23 time: 0.5398 data_time: 0.0474 memory: 13609 grad_norm: 2.5025 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1567 loss: 2.1567 2022/08/01 13:56:20 - mmengine - INFO - Epoch(train) [33][760/940] lr: 6.0000e-02 eta: 9:17:14 time: 0.5695 data_time: 0.0502 memory: 13609 grad_norm: 2.4664 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2030 loss: 2.2030 2022/08/01 13:56:30 - mmengine - INFO - Epoch(train) [33][780/940] lr: 6.0000e-02 eta: 9:17:03 time: 0.5114 data_time: 0.0378 memory: 13609 grad_norm: 2.4682 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2590 loss: 2.2590 2022/08/01 13:56:41 - mmengine - INFO - Epoch(train) [33][800/940] lr: 6.0000e-02 eta: 9:16:53 time: 0.5490 data_time: 0.0395 memory: 13609 grad_norm: 2.4527 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2305 loss: 2.2305 2022/08/01 13:56:52 - mmengine - INFO - Epoch(train) [33][820/940] lr: 6.0000e-02 eta: 9:16:43 time: 0.5271 data_time: 0.0501 memory: 13609 grad_norm: 2.5219 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1365 loss: 2.1365 2022/08/01 13:57:03 - mmengine - INFO - Epoch(train) [33][840/940] lr: 6.0000e-02 eta: 9:16:33 time: 0.5551 data_time: 0.0621 memory: 13609 grad_norm: 2.4731 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1328 loss: 2.1328 2022/08/01 13:57:12 - mmengine - INFO - Epoch(train) [33][860/940] lr: 6.0000e-02 eta: 9:16:19 time: 0.4456 data_time: 0.0702 memory: 13609 grad_norm: 2.4406 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0373 loss: 2.0373 2022/08/01 13:57:23 - mmengine - INFO - Epoch(train) [33][880/940] lr: 6.0000e-02 eta: 9:16:09 time: 0.5457 data_time: 0.1265 memory: 13609 grad_norm: 2.5151 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.2631 loss: 2.2631 2022/08/01 13:57:33 - mmengine - INFO - Epoch(train) [33][900/940] lr: 6.0000e-02 eta: 9:15:58 time: 0.5251 data_time: 0.0754 memory: 13609 grad_norm: 2.4438 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1992 loss: 2.1992 2022/08/01 13:57:44 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:57:44 - mmengine - INFO - Epoch(train) [33][920/940] lr: 6.0000e-02 eta: 9:15:49 time: 0.5561 data_time: 0.0820 memory: 13609 grad_norm: 2.4770 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 2.1957 loss: 2.1957 2022/08/01 13:57:51 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 13:57:52 - mmengine - INFO - Epoch(train) [33][940/940] lr: 6.0000e-02 eta: 9:15:31 time: 0.3512 data_time: 0.0359 memory: 13609 grad_norm: 2.5612 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 2.1544 loss: 2.1544 2022/08/01 13:57:52 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/01 13:59:39 - mmengine - INFO - Epoch(val) [33][20/78] eta: 0:05:05 time: 5.2713 data_time: 4.5229 memory: 19674 2022/08/01 14:00:52 - mmengine - INFO - Epoch(val) [33][40/78] eta: 0:02:18 time: 3.6326 data_time: 2.8918 memory: 19674 2022/08/01 14:02:28 - mmengine - INFO - Epoch(val) [33][60/78] eta: 0:01:26 time: 4.8202 data_time: 4.0775 memory: 19674 2022/08/01 14:03:39 - mmengine - INFO - Epoch(val) [33][78/78] acc/top1: 0.5873 acc/top5: 0.8170 acc/mean1: 0.5872 2022/08/01 14:03:53 - mmengine - INFO - Epoch(train) [34][20/940] lr: 6.0000e-02 eta: 9:15:28 time: 0.7150 data_time: 0.3660 memory: 19674 grad_norm: 2.4583 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2110 loss: 2.2110 2022/08/01 14:04:03 - mmengine - INFO - Epoch(train) [34][40/940] lr: 6.0000e-02 eta: 9:15:16 time: 0.4971 data_time: 0.1327 memory: 13609 grad_norm: 2.4594 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.2220 loss: 2.2220 2022/08/01 14:04:16 - mmengine - INFO - Epoch(train) [34][60/940] lr: 6.0000e-02 eta: 9:15:09 time: 0.6143 data_time: 0.0666 memory: 13609 grad_norm: 2.4212 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1330 loss: 2.1330 2022/08/01 14:04:26 - mmengine - INFO - Epoch(train) [34][80/940] lr: 6.0000e-02 eta: 9:14:57 time: 0.4964 data_time: 0.0317 memory: 13609 grad_norm: 2.4448 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0645 loss: 2.0645 2022/08/01 14:04:37 - mmengine - INFO - Epoch(train) [34][100/940] lr: 6.0000e-02 eta: 9:14:48 time: 0.5555 data_time: 0.0296 memory: 13609 grad_norm: 2.4454 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.9889 loss: 1.9889 2022/08/01 14:04:46 - mmengine - INFO - Epoch(train) [34][120/940] lr: 6.0000e-02 eta: 9:14:35 time: 0.4723 data_time: 0.0562 memory: 13609 grad_norm: 2.4080 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9688 loss: 1.9688 2022/08/01 14:04:58 - mmengine - INFO - Epoch(train) [34][140/940] lr: 6.0000e-02 eta: 9:14:27 time: 0.5937 data_time: 0.0363 memory: 13609 grad_norm: 2.4540 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.9854 loss: 1.9854 2022/08/01 14:05:07 - mmengine - INFO - Epoch(train) [34][160/940] lr: 6.0000e-02 eta: 9:14:14 time: 0.4679 data_time: 0.0388 memory: 13609 grad_norm: 2.4282 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0021 loss: 2.0021 2022/08/01 14:05:20 - mmengine - INFO - Epoch(train) [34][180/940] lr: 6.0000e-02 eta: 9:14:06 time: 0.6071 data_time: 0.0305 memory: 13609 grad_norm: 2.5018 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1185 loss: 2.1185 2022/08/01 14:05:29 - mmengine - INFO - Epoch(train) [34][200/940] lr: 6.0000e-02 eta: 9:13:54 time: 0.4954 data_time: 0.0396 memory: 13609 grad_norm: 2.4759 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0563 loss: 2.0563 2022/08/01 14:05:40 - mmengine - INFO - Epoch(train) [34][220/940] lr: 6.0000e-02 eta: 9:13:43 time: 0.5120 data_time: 0.0319 memory: 13609 grad_norm: 2.4882 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9183 loss: 1.9183 2022/08/01 14:05:49 - mmengine - INFO - Epoch(train) [34][240/940] lr: 6.0000e-02 eta: 9:13:30 time: 0.4612 data_time: 0.0515 memory: 13609 grad_norm: 2.4766 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9997 loss: 1.9997 2022/08/01 14:06:00 - mmengine - INFO - Epoch(train) [34][260/940] lr: 6.0000e-02 eta: 9:13:20 time: 0.5528 data_time: 0.0604 memory: 13609 grad_norm: 2.4348 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0837 loss: 2.0837 2022/08/01 14:06:11 - mmengine - INFO - Epoch(train) [34][280/940] lr: 6.0000e-02 eta: 9:13:09 time: 0.5249 data_time: 0.0572 memory: 13609 grad_norm: 2.4605 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0875 loss: 2.0875 2022/08/01 14:06:22 - mmengine - INFO - Epoch(train) [34][300/940] lr: 6.0000e-02 eta: 9:13:00 time: 0.5578 data_time: 0.0590 memory: 13609 grad_norm: 2.4268 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0971 loss: 2.0971 2022/08/01 14:06:32 - mmengine - INFO - Epoch(train) [34][320/940] lr: 6.0000e-02 eta: 9:12:48 time: 0.5060 data_time: 0.0668 memory: 13609 grad_norm: 2.4804 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0076 loss: 2.0076 2022/08/01 14:06:44 - mmengine - INFO - Epoch(train) [34][340/940] lr: 6.0000e-02 eta: 9:12:41 time: 0.6078 data_time: 0.0302 memory: 13609 grad_norm: 2.5105 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1427 loss: 2.1427 2022/08/01 14:06:54 - mmengine - INFO - Epoch(train) [34][360/940] lr: 6.0000e-02 eta: 9:12:28 time: 0.4780 data_time: 0.0331 memory: 13609 grad_norm: 2.4274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0372 loss: 2.0372 2022/08/01 14:07:05 - mmengine - INFO - Epoch(train) [34][380/940] lr: 6.0000e-02 eta: 9:12:19 time: 0.5593 data_time: 0.0333 memory: 13609 grad_norm: 2.5002 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0298 loss: 2.0298 2022/08/01 14:07:14 - mmengine - INFO - Epoch(train) [34][400/940] lr: 6.0000e-02 eta: 9:12:07 time: 0.4883 data_time: 0.0384 memory: 13609 grad_norm: 2.5171 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2073 loss: 2.2073 2022/08/01 14:07:25 - mmengine - INFO - Epoch(train) [34][420/940] lr: 6.0000e-02 eta: 9:11:56 time: 0.5431 data_time: 0.0304 memory: 13609 grad_norm: 2.5193 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1203 loss: 2.1203 2022/08/01 14:07:35 - mmengine - INFO - Epoch(train) [34][440/940] lr: 6.0000e-02 eta: 9:11:44 time: 0.4725 data_time: 0.0405 memory: 13609 grad_norm: 2.4758 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.1094 loss: 2.1094 2022/08/01 14:07:45 - mmengine - INFO - Epoch(train) [34][460/940] lr: 6.0000e-02 eta: 9:11:32 time: 0.5107 data_time: 0.0361 memory: 13609 grad_norm: 2.4372 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2017 loss: 2.2017 2022/08/01 14:07:55 - mmengine - INFO - Epoch(train) [34][480/940] lr: 6.0000e-02 eta: 9:11:21 time: 0.5070 data_time: 0.0283 memory: 13609 grad_norm: 2.4588 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.0667 loss: 2.0667 2022/08/01 14:08:05 - mmengine - INFO - Epoch(train) [34][500/940] lr: 6.0000e-02 eta: 9:11:10 time: 0.5151 data_time: 0.0508 memory: 13609 grad_norm: 2.4749 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1532 loss: 2.1532 2022/08/01 14:08:16 - mmengine - INFO - Epoch(train) [34][520/940] lr: 6.0000e-02 eta: 9:10:59 time: 0.5245 data_time: 0.0320 memory: 13609 grad_norm: 2.4446 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1368 loss: 2.1368 2022/08/01 14:08:26 - mmengine - INFO - Epoch(train) [34][540/940] lr: 6.0000e-02 eta: 9:10:48 time: 0.5180 data_time: 0.0376 memory: 13609 grad_norm: 2.4629 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0978 loss: 2.0978 2022/08/01 14:08:37 - mmengine - INFO - Epoch(train) [34][560/940] lr: 6.0000e-02 eta: 9:10:37 time: 0.5309 data_time: 0.0384 memory: 13609 grad_norm: 2.4271 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2064 loss: 2.2064 2022/08/01 14:08:49 - mmengine - INFO - Epoch(train) [34][580/940] lr: 6.0000e-02 eta: 9:10:30 time: 0.6009 data_time: 0.0335 memory: 13609 grad_norm: 2.4776 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1304 loss: 2.1304 2022/08/01 14:08:59 - mmengine - INFO - Epoch(train) [34][600/940] lr: 6.0000e-02 eta: 9:10:18 time: 0.4950 data_time: 0.0339 memory: 13609 grad_norm: 2.4258 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.0976 loss: 2.0976 2022/08/01 14:09:10 - mmengine - INFO - Epoch(train) [34][620/940] lr: 6.0000e-02 eta: 9:10:07 time: 0.5338 data_time: 0.0418 memory: 13609 grad_norm: 2.5088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0862 loss: 2.0862 2022/08/01 14:09:20 - mmengine - INFO - Epoch(train) [34][640/940] lr: 6.0000e-02 eta: 9:09:55 time: 0.4993 data_time: 0.0310 memory: 13609 grad_norm: 2.4460 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1223 loss: 2.1223 2022/08/01 14:09:31 - mmengine - INFO - Epoch(train) [34][660/940] lr: 6.0000e-02 eta: 9:09:46 time: 0.5647 data_time: 0.0508 memory: 13609 grad_norm: 2.4937 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1511 loss: 2.1511 2022/08/01 14:09:40 - mmengine - INFO - Epoch(train) [34][680/940] lr: 6.0000e-02 eta: 9:09:33 time: 0.4485 data_time: 0.0299 memory: 13609 grad_norm: 2.4656 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9698 loss: 1.9698 2022/08/01 14:09:50 - mmengine - INFO - Epoch(train) [34][700/940] lr: 6.0000e-02 eta: 9:09:21 time: 0.5178 data_time: 0.0468 memory: 13609 grad_norm: 2.4531 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.0568 loss: 2.0568 2022/08/01 14:10:01 - mmengine - INFO - Epoch(train) [34][720/940] lr: 6.0000e-02 eta: 9:09:11 time: 0.5385 data_time: 0.0347 memory: 13609 grad_norm: 2.5520 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1387 loss: 2.1387 2022/08/01 14:10:11 - mmengine - INFO - Epoch(train) [34][740/940] lr: 6.0000e-02 eta: 9:09:00 time: 0.5103 data_time: 0.0671 memory: 13609 grad_norm: 2.4143 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.9634 loss: 1.9634 2022/08/01 14:10:22 - mmengine - INFO - Epoch(train) [34][760/940] lr: 6.0000e-02 eta: 9:08:49 time: 0.5304 data_time: 0.0377 memory: 13609 grad_norm: 2.4457 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 2.2076 loss: 2.2076 2022/08/01 14:10:33 - mmengine - INFO - Epoch(train) [34][780/940] lr: 6.0000e-02 eta: 9:08:41 time: 0.5775 data_time: 0.0511 memory: 13609 grad_norm: 2.5150 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1481 loss: 2.1481 2022/08/01 14:10:43 - mmengine - INFO - Epoch(train) [34][800/940] lr: 6.0000e-02 eta: 9:08:29 time: 0.4921 data_time: 0.0402 memory: 13609 grad_norm: 2.4766 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.0976 loss: 2.0976 2022/08/01 14:10:54 - mmengine - INFO - Epoch(train) [34][820/940] lr: 6.0000e-02 eta: 9:08:19 time: 0.5522 data_time: 0.0441 memory: 13609 grad_norm: 2.4164 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.9952 loss: 1.9952 2022/08/01 14:11:05 - mmengine - INFO - Epoch(train) [34][840/940] lr: 6.0000e-02 eta: 9:08:08 time: 0.5246 data_time: 0.0349 memory: 13609 grad_norm: 2.4299 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1371 loss: 2.1371 2022/08/01 14:11:16 - mmengine - INFO - Epoch(train) [34][860/940] lr: 6.0000e-02 eta: 9:07:58 time: 0.5457 data_time: 0.1339 memory: 13609 grad_norm: 2.4760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1263 loss: 2.1263 2022/08/01 14:11:25 - mmengine - INFO - Epoch(train) [34][880/940] lr: 6.0000e-02 eta: 9:07:46 time: 0.4810 data_time: 0.1541 memory: 13609 grad_norm: 2.4657 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0842 loss: 2.0842 2022/08/01 14:11:36 - mmengine - INFO - Epoch(train) [34][900/940] lr: 6.0000e-02 eta: 9:07:35 time: 0.5358 data_time: 0.2118 memory: 13609 grad_norm: 2.4956 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0346 loss: 2.0346 2022/08/01 14:11:46 - mmengine - INFO - Epoch(train) [34][920/940] lr: 6.0000e-02 eta: 9:07:24 time: 0.4941 data_time: 0.1519 memory: 13609 grad_norm: 2.4553 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1435 loss: 2.1435 2022/08/01 14:11:55 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:11:55 - mmengine - INFO - Epoch(train) [34][940/940] lr: 6.0000e-02 eta: 9:07:09 time: 0.4377 data_time: 0.0416 memory: 13609 grad_norm: 2.5724 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.1063 loss: 2.1063 2022/08/01 14:13:39 - mmengine - INFO - Epoch(val) [34][20/78] eta: 0:05:03 time: 5.2408 data_time: 4.4804 memory: 19674 2022/08/01 14:14:52 - mmengine - INFO - Epoch(val) [34][40/78] eta: 0:02:16 time: 3.6039 data_time: 2.8510 memory: 19674 2022/08/01 14:16:30 - mmengine - INFO - Epoch(val) [34][60/78] eta: 0:01:28 time: 4.9186 data_time: 4.1713 memory: 19674 2022/08/01 14:17:42 - mmengine - INFO - Epoch(val) [34][78/78] acc/top1: 0.5873 acc/top5: 0.8205 acc/mean1: 0.5872 2022/08/01 14:17:57 - mmengine - INFO - Epoch(train) [35][20/940] lr: 6.0000e-02 eta: 9:07:06 time: 0.7036 data_time: 0.3534 memory: 19674 grad_norm: 2.4404 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0992 loss: 2.0992 2022/08/01 14:18:07 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:18:07 - mmengine - INFO - Epoch(train) [35][40/940] lr: 6.0000e-02 eta: 9:06:55 time: 0.5330 data_time: 0.2185 memory: 13609 grad_norm: 2.4391 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.1236 loss: 2.1236 2022/08/01 14:18:19 - mmengine - INFO - Epoch(train) [35][60/940] lr: 6.0000e-02 eta: 9:06:46 time: 0.5746 data_time: 0.2714 memory: 13609 grad_norm: 2.4176 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1072 loss: 2.1072 2022/08/01 14:18:29 - mmengine - INFO - Epoch(train) [35][80/940] lr: 6.0000e-02 eta: 9:06:34 time: 0.4894 data_time: 0.1272 memory: 13609 grad_norm: 2.3841 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0113 loss: 2.0113 2022/08/01 14:18:40 - mmengine - INFO - Epoch(train) [35][100/940] lr: 6.0000e-02 eta: 9:06:25 time: 0.5571 data_time: 0.0289 memory: 13609 grad_norm: 2.5350 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1398 loss: 2.1398 2022/08/01 14:18:50 - mmengine - INFO - Epoch(train) [35][120/940] lr: 6.0000e-02 eta: 9:06:14 time: 0.5318 data_time: 0.0329 memory: 13609 grad_norm: 2.4628 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1405 loss: 2.1405 2022/08/01 14:19:01 - mmengine - INFO - Epoch(train) [35][140/940] lr: 6.0000e-02 eta: 9:06:03 time: 0.5192 data_time: 0.0332 memory: 13609 grad_norm: 2.4993 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0528 loss: 2.0528 2022/08/01 14:19:11 - mmengine - INFO - Epoch(train) [35][160/940] lr: 6.0000e-02 eta: 9:05:53 time: 0.5357 data_time: 0.0381 memory: 13609 grad_norm: 2.4895 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0449 loss: 2.0449 2022/08/01 14:19:22 - mmengine - INFO - Epoch(train) [35][180/940] lr: 6.0000e-02 eta: 9:05:42 time: 0.5261 data_time: 0.0425 memory: 13609 grad_norm: 2.4867 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0646 loss: 2.0646 2022/08/01 14:19:32 - mmengine - INFO - Epoch(train) [35][200/940] lr: 6.0000e-02 eta: 9:05:31 time: 0.5135 data_time: 0.0307 memory: 13609 grad_norm: 2.4583 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1048 loss: 2.1048 2022/08/01 14:19:42 - mmengine - INFO - Epoch(train) [35][220/940] lr: 6.0000e-02 eta: 9:05:19 time: 0.5039 data_time: 0.0334 memory: 13609 grad_norm: 2.5126 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1507 loss: 2.1507 2022/08/01 14:19:52 - mmengine - INFO - Epoch(train) [35][240/940] lr: 6.0000e-02 eta: 9:05:07 time: 0.4891 data_time: 0.0368 memory: 13609 grad_norm: 2.5041 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0843 loss: 2.0843 2022/08/01 14:20:03 - mmengine - INFO - Epoch(train) [35][260/940] lr: 6.0000e-02 eta: 9:04:58 time: 0.5525 data_time: 0.0510 memory: 13609 grad_norm: 2.4705 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0564 loss: 2.0564 2022/08/01 14:20:14 - mmengine - INFO - Epoch(train) [35][280/940] lr: 6.0000e-02 eta: 9:04:47 time: 0.5366 data_time: 0.1484 memory: 13609 grad_norm: 2.5308 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2451 loss: 2.2451 2022/08/01 14:20:25 - mmengine - INFO - Epoch(train) [35][300/940] lr: 6.0000e-02 eta: 9:04:37 time: 0.5430 data_time: 0.2244 memory: 13609 grad_norm: 2.4361 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9921 loss: 1.9921 2022/08/01 14:20:35 - mmengine - INFO - Epoch(train) [35][320/940] lr: 6.0000e-02 eta: 9:04:26 time: 0.5144 data_time: 0.2136 memory: 13609 grad_norm: 2.4965 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.1454 loss: 2.1454 2022/08/01 14:20:45 - mmengine - INFO - Epoch(train) [35][340/940] lr: 6.0000e-02 eta: 9:04:14 time: 0.5020 data_time: 0.0578 memory: 13609 grad_norm: 2.4740 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9848 loss: 1.9848 2022/08/01 14:20:56 - mmengine - INFO - Epoch(train) [35][360/940] lr: 6.0000e-02 eta: 9:04:04 time: 0.5395 data_time: 0.0687 memory: 13609 grad_norm: 2.5519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0044 loss: 2.0044 2022/08/01 14:21:06 - mmengine - INFO - Epoch(train) [35][380/940] lr: 6.0000e-02 eta: 9:03:52 time: 0.4994 data_time: 0.0796 memory: 13609 grad_norm: 2.4409 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1197 loss: 2.1197 2022/08/01 14:21:17 - mmengine - INFO - Epoch(train) [35][400/940] lr: 6.0000e-02 eta: 9:03:43 time: 0.5490 data_time: 0.0320 memory: 13609 grad_norm: 2.4654 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0225 loss: 2.0225 2022/08/01 14:21:27 - mmengine - INFO - Epoch(train) [35][420/940] lr: 6.0000e-02 eta: 9:03:32 time: 0.5219 data_time: 0.0393 memory: 13609 grad_norm: 2.5258 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.1391 loss: 2.1391 2022/08/01 14:21:38 - mmengine - INFO - Epoch(train) [35][440/940] lr: 6.0000e-02 eta: 9:03:22 time: 0.5432 data_time: 0.0338 memory: 13609 grad_norm: 2.5117 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.8901 loss: 1.8901 2022/08/01 14:21:49 - mmengine - INFO - Epoch(train) [35][460/940] lr: 6.0000e-02 eta: 9:03:12 time: 0.5433 data_time: 0.0340 memory: 13609 grad_norm: 2.4945 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1408 loss: 2.1408 2022/08/01 14:21:59 - mmengine - INFO - Epoch(train) [35][480/940] lr: 6.0000e-02 eta: 9:02:59 time: 0.4848 data_time: 0.0309 memory: 13609 grad_norm: 2.4655 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9424 loss: 1.9424 2022/08/01 14:22:09 - mmengine - INFO - Epoch(train) [35][500/940] lr: 6.0000e-02 eta: 9:02:49 time: 0.5346 data_time: 0.0366 memory: 13609 grad_norm: 2.4163 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.9288 loss: 1.9288 2022/08/01 14:22:19 - mmengine - INFO - Epoch(train) [35][520/940] lr: 6.0000e-02 eta: 9:02:37 time: 0.5006 data_time: 0.0397 memory: 13609 grad_norm: 2.4817 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.9356 loss: 1.9356 2022/08/01 14:22:31 - mmengine - INFO - Epoch(train) [35][540/940] lr: 6.0000e-02 eta: 9:02:29 time: 0.5801 data_time: 0.0355 memory: 13609 grad_norm: 2.4933 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2238 loss: 2.2238 2022/08/01 14:22:42 - mmengine - INFO - Epoch(train) [35][560/940] lr: 6.0000e-02 eta: 9:02:19 time: 0.5545 data_time: 0.0345 memory: 13609 grad_norm: 2.4888 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.2256 loss: 2.2256 2022/08/01 14:22:52 - mmengine - INFO - Epoch(train) [35][580/940] lr: 6.0000e-02 eta: 9:02:07 time: 0.4962 data_time: 0.0331 memory: 13609 grad_norm: 2.4589 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9380 loss: 1.9380 2022/08/01 14:23:02 - mmengine - INFO - Epoch(train) [35][600/940] lr: 6.0000e-02 eta: 9:01:55 time: 0.4812 data_time: 0.0312 memory: 13609 grad_norm: 2.4867 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.0978 loss: 2.0978 2022/08/01 14:23:12 - mmengine - INFO - Epoch(train) [35][620/940] lr: 6.0000e-02 eta: 9:01:43 time: 0.5059 data_time: 0.0352 memory: 13609 grad_norm: 2.5156 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1712 loss: 2.1712 2022/08/01 14:23:23 - mmengine - INFO - Epoch(train) [35][640/940] lr: 6.0000e-02 eta: 9:01:34 time: 0.5546 data_time: 0.0417 memory: 13609 grad_norm: 2.5126 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/08/01 14:23:35 - mmengine - INFO - Epoch(train) [35][660/940] lr: 6.0000e-02 eta: 9:01:25 time: 0.5836 data_time: 0.0353 memory: 13609 grad_norm: 2.4739 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1539 loss: 2.1539 2022/08/01 14:23:44 - mmengine - INFO - Epoch(train) [35][680/940] lr: 6.0000e-02 eta: 9:01:13 time: 0.4947 data_time: 0.0315 memory: 13609 grad_norm: 2.5019 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1466 loss: 2.1466 2022/08/01 14:23:57 - mmengine - INFO - Epoch(train) [35][700/940] lr: 6.0000e-02 eta: 9:01:06 time: 0.6033 data_time: 0.0299 memory: 13609 grad_norm: 2.4481 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1152 loss: 2.1152 2022/08/01 14:24:05 - mmengine - INFO - Epoch(train) [35][720/940] lr: 6.0000e-02 eta: 9:00:51 time: 0.4237 data_time: 0.0344 memory: 13609 grad_norm: 2.4478 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2839 loss: 2.2839 2022/08/01 14:24:17 - mmengine - INFO - Epoch(train) [35][740/940] lr: 6.0000e-02 eta: 9:00:43 time: 0.6009 data_time: 0.0459 memory: 13609 grad_norm: 2.5157 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1397 loss: 2.1397 2022/08/01 14:24:27 - mmengine - INFO - Epoch(train) [35][760/940] lr: 6.0000e-02 eta: 9:00:31 time: 0.4997 data_time: 0.0420 memory: 13609 grad_norm: 2.4613 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0583 loss: 2.0583 2022/08/01 14:24:37 - mmengine - INFO - Epoch(train) [35][780/940] lr: 6.0000e-02 eta: 9:00:20 time: 0.5049 data_time: 0.0388 memory: 13609 grad_norm: 2.4769 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.2310 loss: 2.2310 2022/08/01 14:24:46 - mmengine - INFO - Epoch(train) [35][800/940] lr: 6.0000e-02 eta: 9:00:07 time: 0.4598 data_time: 0.0362 memory: 13609 grad_norm: 2.4887 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1760 loss: 2.1760 2022/08/01 14:24:58 - mmengine - INFO - Epoch(train) [35][820/940] lr: 6.0000e-02 eta: 8:59:58 time: 0.5815 data_time: 0.0355 memory: 13609 grad_norm: 2.4498 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0686 loss: 2.0686 2022/08/01 14:25:08 - mmengine - INFO - Epoch(train) [35][840/940] lr: 6.0000e-02 eta: 8:59:46 time: 0.4808 data_time: 0.0319 memory: 13609 grad_norm: 2.5025 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2202 loss: 2.2202 2022/08/01 14:25:19 - mmengine - INFO - Epoch(train) [35][860/940] lr: 6.0000e-02 eta: 8:59:36 time: 0.5521 data_time: 0.0369 memory: 13609 grad_norm: 2.5031 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.0920 loss: 2.0920 2022/08/01 14:25:30 - mmengine - INFO - Epoch(train) [35][880/940] lr: 6.0000e-02 eta: 8:59:27 time: 0.5802 data_time: 0.0323 memory: 13609 grad_norm: 2.4652 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0411 loss: 2.0411 2022/08/01 14:25:39 - mmengine - INFO - Epoch(train) [35][900/940] lr: 6.0000e-02 eta: 8:59:13 time: 0.4428 data_time: 0.0361 memory: 13609 grad_norm: 2.4849 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0738 loss: 2.0738 2022/08/01 14:25:51 - mmengine - INFO - Epoch(train) [35][920/940] lr: 6.0000e-02 eta: 8:59:05 time: 0.5800 data_time: 0.0415 memory: 13609 grad_norm: 2.4709 top1_acc: 0.3438 top5_acc: 0.7500 loss_cls: 1.9696 loss: 1.9696 2022/08/01 14:25:59 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:25:59 - mmengine - INFO - Epoch(train) [35][940/940] lr: 6.0000e-02 eta: 8:58:50 time: 0.4062 data_time: 0.0264 memory: 13609 grad_norm: 2.5862 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.1543 loss: 2.1543 2022/08/01 14:27:44 - mmengine - INFO - Epoch(val) [35][20/78] eta: 0:05:05 time: 5.2613 data_time: 4.5022 memory: 19674 2022/08/01 14:28:57 - mmengine - INFO - Epoch(val) [35][40/78] eta: 0:02:17 time: 3.6312 data_time: 2.8726 memory: 19674 2022/08/01 14:30:33 - mmengine - INFO - Epoch(val) [35][60/78] eta: 0:01:26 time: 4.8153 data_time: 4.0674 memory: 19674 2022/08/01 14:31:45 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.5863 acc/top5: 0.8160 acc/mean1: 0.5861 2022/08/01 14:32:00 - mmengine - INFO - Epoch(train) [36][20/940] lr: 6.0000e-02 eta: 8:58:46 time: 0.7268 data_time: 0.2953 memory: 19674 grad_norm: 2.4842 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2394 loss: 2.2394 2022/08/01 14:32:10 - mmengine - INFO - Epoch(train) [36][40/940] lr: 6.0000e-02 eta: 8:58:35 time: 0.5051 data_time: 0.0717 memory: 13609 grad_norm: 2.5089 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0477 loss: 2.0477 2022/08/01 14:32:21 - mmengine - INFO - Epoch(train) [36][60/940] lr: 6.0000e-02 eta: 8:58:25 time: 0.5580 data_time: 0.0360 memory: 13609 grad_norm: 2.4877 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1479 loss: 2.1479 2022/08/01 14:32:31 - mmengine - INFO - Epoch(train) [36][80/940] lr: 6.0000e-02 eta: 8:58:14 time: 0.4996 data_time: 0.0380 memory: 13609 grad_norm: 2.4789 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0452 loss: 2.0452 2022/08/01 14:32:42 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:32:42 - mmengine - INFO - Epoch(train) [36][100/940] lr: 6.0000e-02 eta: 8:58:04 time: 0.5660 data_time: 0.0360 memory: 13609 grad_norm: 2.4771 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/08/01 14:32:52 - mmengine - INFO - Epoch(train) [36][120/940] lr: 6.0000e-02 eta: 8:57:53 time: 0.4973 data_time: 0.0256 memory: 13609 grad_norm: 2.4384 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9680 loss: 1.9680 2022/08/01 14:33:04 - mmengine - INFO - Epoch(train) [36][140/940] lr: 6.0000e-02 eta: 8:57:44 time: 0.5681 data_time: 0.0338 memory: 13609 grad_norm: 2.4429 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1022 loss: 2.1022 2022/08/01 14:33:14 - mmengine - INFO - Epoch(train) [36][160/940] lr: 6.0000e-02 eta: 8:57:33 time: 0.5166 data_time: 0.0280 memory: 13609 grad_norm: 2.4370 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.0909 loss: 2.0909 2022/08/01 14:33:25 - mmengine - INFO - Epoch(train) [36][180/940] lr: 6.0000e-02 eta: 8:57:23 time: 0.5465 data_time: 0.0366 memory: 13609 grad_norm: 2.4876 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.9331 loss: 1.9331 2022/08/01 14:33:34 - mmengine - INFO - Epoch(train) [36][200/940] lr: 6.0000e-02 eta: 8:57:10 time: 0.4629 data_time: 0.0372 memory: 13609 grad_norm: 2.4418 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9953 loss: 1.9953 2022/08/01 14:33:46 - mmengine - INFO - Epoch(train) [36][220/940] lr: 6.0000e-02 eta: 8:57:01 time: 0.5811 data_time: 0.0349 memory: 13609 grad_norm: 2.5128 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.0629 loss: 2.0629 2022/08/01 14:33:55 - mmengine - INFO - Epoch(train) [36][240/940] lr: 6.0000e-02 eta: 8:56:48 time: 0.4612 data_time: 0.0331 memory: 13609 grad_norm: 2.4794 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1060 loss: 2.1060 2022/08/01 14:34:07 - mmengine - INFO - Epoch(train) [36][260/940] lr: 6.0000e-02 eta: 8:56:39 time: 0.5803 data_time: 0.0384 memory: 13609 grad_norm: 2.4938 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1120 loss: 2.1120 2022/08/01 14:34:15 - mmengine - INFO - Epoch(train) [36][280/940] lr: 6.0000e-02 eta: 8:56:25 time: 0.4329 data_time: 0.0362 memory: 13609 grad_norm: 2.4746 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.1465 loss: 2.1465 2022/08/01 14:34:26 - mmengine - INFO - Epoch(train) [36][300/940] lr: 6.0000e-02 eta: 8:56:15 time: 0.5527 data_time: 0.0387 memory: 13609 grad_norm: 2.5730 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0918 loss: 2.0918 2022/08/01 14:34:38 - mmengine - INFO - Epoch(train) [36][320/940] lr: 6.0000e-02 eta: 8:56:07 time: 0.5821 data_time: 0.0528 memory: 13609 grad_norm: 2.4894 top1_acc: 0.4062 top5_acc: 0.5312 loss_cls: 2.1597 loss: 2.1597 2022/08/01 14:34:48 - mmengine - INFO - Epoch(train) [36][340/940] lr: 6.0000e-02 eta: 8:55:55 time: 0.5103 data_time: 0.1156 memory: 13609 grad_norm: 2.4799 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1745 loss: 2.1745 2022/08/01 14:34:59 - mmengine - INFO - Epoch(train) [36][360/940] lr: 6.0000e-02 eta: 8:55:45 time: 0.5334 data_time: 0.0306 memory: 13609 grad_norm: 2.4727 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1036 loss: 2.1036 2022/08/01 14:35:10 - mmengine - INFO - Epoch(train) [36][380/940] lr: 6.0000e-02 eta: 8:55:35 time: 0.5437 data_time: 0.0640 memory: 13609 grad_norm: 2.4911 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.0077 loss: 2.0077 2022/08/01 14:35:21 - mmengine - INFO - Epoch(train) [36][400/940] lr: 6.0000e-02 eta: 8:55:25 time: 0.5488 data_time: 0.0246 memory: 13609 grad_norm: 2.4414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0618 loss: 2.0618 2022/08/01 14:35:30 - mmengine - INFO - Epoch(train) [36][420/940] lr: 6.0000e-02 eta: 8:55:12 time: 0.4614 data_time: 0.0350 memory: 13609 grad_norm: 2.5100 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0436 loss: 2.0436 2022/08/01 14:35:41 - mmengine - INFO - Epoch(train) [36][440/940] lr: 6.0000e-02 eta: 8:55:02 time: 0.5394 data_time: 0.0349 memory: 13609 grad_norm: 2.4844 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.1039 loss: 2.1039 2022/08/01 14:35:51 - mmengine - INFO - Epoch(train) [36][460/940] lr: 6.0000e-02 eta: 8:54:50 time: 0.5112 data_time: 0.0366 memory: 13609 grad_norm: 2.4665 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0867 loss: 2.0867 2022/08/01 14:36:02 - mmengine - INFO - Epoch(train) [36][480/940] lr: 6.0000e-02 eta: 8:54:40 time: 0.5244 data_time: 0.0330 memory: 13609 grad_norm: 2.5023 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0680 loss: 2.0680 2022/08/01 14:36:12 - mmengine - INFO - Epoch(train) [36][500/940] lr: 6.0000e-02 eta: 8:54:29 time: 0.5329 data_time: 0.0366 memory: 13609 grad_norm: 2.5065 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.1911 loss: 2.1911 2022/08/01 14:36:23 - mmengine - INFO - Epoch(train) [36][520/940] lr: 6.0000e-02 eta: 8:54:19 time: 0.5426 data_time: 0.0326 memory: 13609 grad_norm: 2.5112 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1472 loss: 2.1472 2022/08/01 14:36:33 - mmengine - INFO - Epoch(train) [36][540/940] lr: 6.0000e-02 eta: 8:54:08 time: 0.5072 data_time: 0.0357 memory: 13609 grad_norm: 2.4246 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9297 loss: 1.9297 2022/08/01 14:36:43 - mmengine - INFO - Epoch(train) [36][560/940] lr: 6.0000e-02 eta: 8:53:56 time: 0.4931 data_time: 0.0330 memory: 13609 grad_norm: 2.4840 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2913 loss: 2.2913 2022/08/01 14:36:54 - mmengine - INFO - Epoch(train) [36][580/940] lr: 6.0000e-02 eta: 8:53:46 time: 0.5449 data_time: 0.0349 memory: 13609 grad_norm: 2.4782 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.1923 loss: 2.1923 2022/08/01 14:37:03 - mmengine - INFO - Epoch(train) [36][600/940] lr: 6.0000e-02 eta: 8:53:33 time: 0.4656 data_time: 0.0354 memory: 13609 grad_norm: 2.4714 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0165 loss: 2.0165 2022/08/01 14:37:14 - mmengine - INFO - Epoch(train) [36][620/940] lr: 6.0000e-02 eta: 8:53:23 time: 0.5473 data_time: 0.0784 memory: 13609 grad_norm: 2.4736 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0630 loss: 2.0630 2022/08/01 14:37:25 - mmengine - INFO - Epoch(train) [36][640/940] lr: 6.0000e-02 eta: 8:53:13 time: 0.5329 data_time: 0.0621 memory: 13609 grad_norm: 2.5048 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9660 loss: 1.9660 2022/08/01 14:37:36 - mmengine - INFO - Epoch(train) [36][660/940] lr: 6.0000e-02 eta: 8:53:02 time: 0.5319 data_time: 0.0822 memory: 13609 grad_norm: 2.5174 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1166 loss: 2.1166 2022/08/01 14:37:47 - mmengine - INFO - Epoch(train) [36][680/940] lr: 6.0000e-02 eta: 8:52:52 time: 0.5532 data_time: 0.0561 memory: 13609 grad_norm: 2.4770 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.1432 loss: 2.1432 2022/08/01 14:37:57 - mmengine - INFO - Epoch(train) [36][700/940] lr: 6.0000e-02 eta: 8:52:40 time: 0.4846 data_time: 0.0384 memory: 13609 grad_norm: 2.5205 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.1191 loss: 2.1191 2022/08/01 14:38:07 - mmengine - INFO - Epoch(train) [36][720/940] lr: 6.0000e-02 eta: 8:52:31 time: 0.5552 data_time: 0.0386 memory: 13609 grad_norm: 2.5189 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1085 loss: 2.1085 2022/08/01 14:38:19 - mmengine - INFO - Epoch(train) [36][740/940] lr: 6.0000e-02 eta: 8:52:21 time: 0.5504 data_time: 0.0497 memory: 13609 grad_norm: 2.4989 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2360 loss: 2.2360 2022/08/01 14:38:28 - mmengine - INFO - Epoch(train) [36][760/940] lr: 6.0000e-02 eta: 8:52:09 time: 0.4841 data_time: 0.0493 memory: 13609 grad_norm: 2.5088 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1217 loss: 2.1217 2022/08/01 14:38:39 - mmengine - INFO - Epoch(train) [36][780/940] lr: 6.0000e-02 eta: 8:51:58 time: 0.5387 data_time: 0.0313 memory: 13609 grad_norm: 2.4998 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1088 loss: 2.1088 2022/08/01 14:38:49 - mmengine - INFO - Epoch(train) [36][800/940] lr: 6.0000e-02 eta: 8:51:47 time: 0.4962 data_time: 0.0325 memory: 13609 grad_norm: 2.4935 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0506 loss: 2.0506 2022/08/01 14:39:01 - mmengine - INFO - Epoch(train) [36][820/940] lr: 6.0000e-02 eta: 8:51:38 time: 0.5836 data_time: 0.0417 memory: 13609 grad_norm: 2.4826 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1772 loss: 2.1772 2022/08/01 14:39:10 - mmengine - INFO - Epoch(train) [36][840/940] lr: 6.0000e-02 eta: 8:51:25 time: 0.4560 data_time: 0.0382 memory: 13609 grad_norm: 2.4332 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1081 loss: 2.1081 2022/08/01 14:39:21 - mmengine - INFO - Epoch(train) [36][860/940] lr: 6.0000e-02 eta: 8:51:16 time: 0.5795 data_time: 0.0341 memory: 13609 grad_norm: 2.4797 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0219 loss: 2.0219 2022/08/01 14:39:31 - mmengine - INFO - Epoch(train) [36][880/940] lr: 6.0000e-02 eta: 8:51:04 time: 0.5024 data_time: 0.0348 memory: 13609 grad_norm: 2.4566 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1999 loss: 2.1999 2022/08/01 14:39:41 - mmengine - INFO - Epoch(train) [36][900/940] lr: 6.0000e-02 eta: 8:50:52 time: 0.4672 data_time: 0.0357 memory: 13609 grad_norm: 2.4861 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1703 loss: 2.1703 2022/08/01 14:39:51 - mmengine - INFO - Epoch(train) [36][920/940] lr: 6.0000e-02 eta: 8:50:41 time: 0.5216 data_time: 0.0345 memory: 13609 grad_norm: 2.5055 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0579 loss: 2.0579 2022/08/01 14:40:00 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:40:00 - mmengine - INFO - Epoch(train) [36][940/940] lr: 6.0000e-02 eta: 8:50:27 time: 0.4527 data_time: 0.0262 memory: 13609 grad_norm: 2.6347 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0261 loss: 2.0261 2022/08/01 14:40:00 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/01 14:41:48 - mmengine - INFO - Epoch(val) [36][20/78] eta: 0:05:06 time: 5.2861 data_time: 4.5421 memory: 19674 2022/08/01 14:43:01 - mmengine - INFO - Epoch(val) [36][40/78] eta: 0:02:17 time: 3.6236 data_time: 2.8714 memory: 19674 2022/08/01 14:44:36 - mmengine - INFO - Epoch(val) [36][60/78] eta: 0:01:25 time: 4.7615 data_time: 4.0201 memory: 19674 2022/08/01 14:45:47 - mmengine - INFO - Epoch(val) [36][78/78] acc/top1: 0.5972 acc/top5: 0.8293 acc/mean1: 0.5971 2022/08/01 14:46:03 - mmengine - INFO - Epoch(train) [37][20/940] lr: 6.0000e-02 eta: 8:50:25 time: 0.7666 data_time: 0.2576 memory: 19674 grad_norm: 2.4404 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.0125 loss: 2.0125 2022/08/01 14:46:12 - mmengine - INFO - Epoch(train) [37][40/940] lr: 6.0000e-02 eta: 8:50:13 time: 0.4713 data_time: 0.0350 memory: 13609 grad_norm: 2.4449 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.2017 loss: 2.2017 2022/08/01 14:46:23 - mmengine - INFO - Epoch(train) [37][60/940] lr: 6.0000e-02 eta: 8:50:04 time: 0.5801 data_time: 0.0365 memory: 13609 grad_norm: 2.4645 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.0582 loss: 2.0582 2022/08/01 14:46:33 - mmengine - INFO - Epoch(train) [37][80/940] lr: 6.0000e-02 eta: 8:49:52 time: 0.5013 data_time: 0.0277 memory: 13609 grad_norm: 2.4594 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.0745 loss: 2.0745 2022/08/01 14:46:44 - mmengine - INFO - Epoch(train) [37][100/940] lr: 6.0000e-02 eta: 8:49:41 time: 0.5195 data_time: 0.0381 memory: 13609 grad_norm: 2.4353 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9338 loss: 1.9338 2022/08/01 14:46:54 - mmengine - INFO - Epoch(train) [37][120/940] lr: 6.0000e-02 eta: 8:49:30 time: 0.5076 data_time: 0.0378 memory: 13609 grad_norm: 2.4860 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0606 loss: 2.0606 2022/08/01 14:47:06 - mmengine - INFO - Epoch(train) [37][140/940] lr: 6.0000e-02 eta: 8:49:22 time: 0.5946 data_time: 0.0325 memory: 13609 grad_norm: 2.4917 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9766 loss: 1.9766 2022/08/01 14:47:16 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:47:16 - mmengine - INFO - Epoch(train) [37][160/940] lr: 6.0000e-02 eta: 8:49:10 time: 0.4930 data_time: 0.0332 memory: 13609 grad_norm: 2.4623 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1489 loss: 2.1489 2022/08/01 14:47:27 - mmengine - INFO - Epoch(train) [37][180/940] lr: 6.0000e-02 eta: 8:49:00 time: 0.5405 data_time: 0.0307 memory: 13609 grad_norm: 2.4871 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9945 loss: 1.9945 2022/08/01 14:47:36 - mmengine - INFO - Epoch(train) [37][200/940] lr: 6.0000e-02 eta: 8:48:47 time: 0.4631 data_time: 0.0377 memory: 13609 grad_norm: 2.4937 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0787 loss: 2.0787 2022/08/01 14:47:48 - mmengine - INFO - Epoch(train) [37][220/940] lr: 6.0000e-02 eta: 8:48:39 time: 0.6089 data_time: 0.0385 memory: 13609 grad_norm: 2.4831 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.9202 loss: 1.9202 2022/08/01 14:47:58 - mmengine - INFO - Epoch(train) [37][240/940] lr: 6.0000e-02 eta: 8:48:27 time: 0.4789 data_time: 0.0349 memory: 13609 grad_norm: 2.4451 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1046 loss: 2.1046 2022/08/01 14:48:09 - mmengine - INFO - Epoch(train) [37][260/940] lr: 6.0000e-02 eta: 8:48:17 time: 0.5473 data_time: 0.0336 memory: 13609 grad_norm: 2.5068 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9374 loss: 1.9374 2022/08/01 14:48:18 - mmengine - INFO - Epoch(train) [37][280/940] lr: 6.0000e-02 eta: 8:48:04 time: 0.4674 data_time: 0.0459 memory: 13609 grad_norm: 2.4599 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0049 loss: 2.0049 2022/08/01 14:48:28 - mmengine - INFO - Epoch(train) [37][300/940] lr: 6.0000e-02 eta: 8:47:53 time: 0.5283 data_time: 0.0345 memory: 13609 grad_norm: 2.4805 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0635 loss: 2.0635 2022/08/01 14:48:40 - mmengine - INFO - Epoch(train) [37][320/940] lr: 6.0000e-02 eta: 8:47:44 time: 0.5531 data_time: 0.0370 memory: 13609 grad_norm: 2.5136 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1019 loss: 2.1019 2022/08/01 14:48:51 - mmengine - INFO - Epoch(train) [37][340/940] lr: 6.0000e-02 eta: 8:47:35 time: 0.5914 data_time: 0.0357 memory: 13609 grad_norm: 2.4938 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9979 loss: 1.9979 2022/08/01 14:49:00 - mmengine - INFO - Epoch(train) [37][360/940] lr: 6.0000e-02 eta: 8:47:22 time: 0.4526 data_time: 0.0354 memory: 13609 grad_norm: 2.5475 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1296 loss: 2.1296 2022/08/01 14:49:11 - mmengine - INFO - Epoch(train) [37][380/940] lr: 6.0000e-02 eta: 8:47:12 time: 0.5426 data_time: 0.0384 memory: 13609 grad_norm: 2.4788 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2072 loss: 2.2072 2022/08/01 14:49:21 - mmengine - INFO - Epoch(train) [37][400/940] lr: 6.0000e-02 eta: 8:47:00 time: 0.4836 data_time: 0.0514 memory: 13609 grad_norm: 2.5283 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8892 loss: 1.8892 2022/08/01 14:49:32 - mmengine - INFO - Epoch(train) [37][420/940] lr: 6.0000e-02 eta: 8:46:49 time: 0.5245 data_time: 0.0372 memory: 13609 grad_norm: 2.4507 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1291 loss: 2.1291 2022/08/01 14:49:42 - mmengine - INFO - Epoch(train) [37][440/940] lr: 6.0000e-02 eta: 8:46:39 time: 0.5503 data_time: 0.0499 memory: 13609 grad_norm: 2.5026 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0897 loss: 2.0897 2022/08/01 14:49:53 - mmengine - INFO - Epoch(train) [37][460/940] lr: 6.0000e-02 eta: 8:46:28 time: 0.5154 data_time: 0.0364 memory: 13609 grad_norm: 2.4926 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0548 loss: 2.0548 2022/08/01 14:50:04 - mmengine - INFO - Epoch(train) [37][480/940] lr: 6.0000e-02 eta: 8:46:19 time: 0.5603 data_time: 0.0354 memory: 13609 grad_norm: 2.5209 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.0763 loss: 2.0763 2022/08/01 14:50:13 - mmengine - INFO - Epoch(train) [37][500/940] lr: 6.0000e-02 eta: 8:46:06 time: 0.4761 data_time: 0.0371 memory: 13609 grad_norm: 2.4664 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1426 loss: 2.1426 2022/08/01 14:50:24 - mmengine - INFO - Epoch(train) [37][520/940] lr: 6.0000e-02 eta: 8:45:56 time: 0.5344 data_time: 0.0356 memory: 13609 grad_norm: 2.5088 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.1629 loss: 2.1629 2022/08/01 14:50:36 - mmengine - INFO - Epoch(train) [37][540/940] lr: 6.0000e-02 eta: 8:45:47 time: 0.5963 data_time: 0.0349 memory: 13609 grad_norm: 2.5278 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1062 loss: 2.1062 2022/08/01 14:50:46 - mmengine - INFO - Epoch(train) [37][560/940] lr: 6.0000e-02 eta: 8:45:36 time: 0.4996 data_time: 0.0366 memory: 13609 grad_norm: 2.4931 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0068 loss: 2.0068 2022/08/01 14:50:56 - mmengine - INFO - Epoch(train) [37][580/940] lr: 6.0000e-02 eta: 8:45:25 time: 0.5110 data_time: 0.0330 memory: 13609 grad_norm: 2.4789 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.0324 loss: 2.0324 2022/08/01 14:51:06 - mmengine - INFO - Epoch(train) [37][600/940] lr: 6.0000e-02 eta: 8:45:13 time: 0.5044 data_time: 0.0386 memory: 13609 grad_norm: 2.4896 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9536 loss: 1.9536 2022/08/01 14:51:17 - mmengine - INFO - Epoch(train) [37][620/940] lr: 6.0000e-02 eta: 8:45:03 time: 0.5406 data_time: 0.0475 memory: 13609 grad_norm: 2.4690 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0748 loss: 2.0748 2022/08/01 14:51:29 - mmengine - INFO - Epoch(train) [37][640/940] lr: 6.0000e-02 eta: 8:44:54 time: 0.5672 data_time: 0.0377 memory: 13609 grad_norm: 2.4296 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9970 loss: 1.9970 2022/08/01 14:51:38 - mmengine - INFO - Epoch(train) [37][660/940] lr: 6.0000e-02 eta: 8:44:41 time: 0.4549 data_time: 0.0495 memory: 13609 grad_norm: 2.4750 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1661 loss: 2.1661 2022/08/01 14:51:49 - mmengine - INFO - Epoch(train) [37][680/940] lr: 6.0000e-02 eta: 8:44:31 time: 0.5706 data_time: 0.0378 memory: 13609 grad_norm: 2.4736 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0325 loss: 2.0325 2022/08/01 14:52:00 - mmengine - INFO - Epoch(train) [37][700/940] lr: 6.0000e-02 eta: 8:44:21 time: 0.5313 data_time: 0.0305 memory: 13609 grad_norm: 2.5344 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1567 loss: 2.1567 2022/08/01 14:52:10 - mmengine - INFO - Epoch(train) [37][720/940] lr: 6.0000e-02 eta: 8:44:09 time: 0.4976 data_time: 0.0707 memory: 13609 grad_norm: 2.4602 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0737 loss: 2.0737 2022/08/01 14:52:21 - mmengine - INFO - Epoch(train) [37][740/940] lr: 6.0000e-02 eta: 8:43:59 time: 0.5413 data_time: 0.1976 memory: 13609 grad_norm: 2.4978 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0929 loss: 2.0929 2022/08/01 14:52:30 - mmengine - INFO - Epoch(train) [37][760/940] lr: 6.0000e-02 eta: 8:43:47 time: 0.4832 data_time: 0.1299 memory: 13609 grad_norm: 2.5700 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3031 loss: 2.3031 2022/08/01 14:52:41 - mmengine - INFO - Epoch(train) [37][780/940] lr: 6.0000e-02 eta: 8:43:37 time: 0.5546 data_time: 0.2483 memory: 13609 grad_norm: 2.4652 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1339 loss: 2.1339 2022/08/01 14:52:51 - mmengine - INFO - Epoch(train) [37][800/940] lr: 6.0000e-02 eta: 8:43:25 time: 0.4845 data_time: 0.1908 memory: 13609 grad_norm: 2.4927 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0892 loss: 2.0892 2022/08/01 14:53:02 - mmengine - INFO - Epoch(train) [37][820/940] lr: 6.0000e-02 eta: 8:43:16 time: 0.5600 data_time: 0.2378 memory: 13609 grad_norm: 2.5470 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.1926 loss: 2.1926 2022/08/01 14:53:13 - mmengine - INFO - Epoch(train) [37][840/940] lr: 6.0000e-02 eta: 8:43:05 time: 0.5429 data_time: 0.2201 memory: 13609 grad_norm: 2.5011 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.1961 loss: 2.1961 2022/08/01 14:53:23 - mmengine - INFO - Epoch(train) [37][860/940] lr: 6.0000e-02 eta: 8:42:54 time: 0.4947 data_time: 0.1139 memory: 13609 grad_norm: 2.4944 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.1713 loss: 2.1713 2022/08/01 14:53:33 - mmengine - INFO - Epoch(train) [37][880/940] lr: 6.0000e-02 eta: 8:42:43 time: 0.5141 data_time: 0.1793 memory: 13609 grad_norm: 2.4637 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1475 loss: 2.1475 2022/08/01 14:53:43 - mmengine - INFO - Epoch(train) [37][900/940] lr: 6.0000e-02 eta: 8:42:30 time: 0.4647 data_time: 0.1085 memory: 13609 grad_norm: 2.4232 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0629 loss: 2.0629 2022/08/01 14:53:54 - mmengine - INFO - Epoch(train) [37][920/940] lr: 6.0000e-02 eta: 8:42:21 time: 0.5793 data_time: 0.1973 memory: 13609 grad_norm: 2.4074 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0270 loss: 2.0270 2022/08/01 14:54:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 14:54:03 - mmengine - INFO - Epoch(train) [37][940/940] lr: 6.0000e-02 eta: 8:42:07 time: 0.4204 data_time: 0.1150 memory: 13609 grad_norm: 2.6034 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1380 loss: 2.1380 2022/08/01 14:55:48 - mmengine - INFO - Epoch(val) [37][20/78] eta: 0:05:05 time: 5.2681 data_time: 4.5041 memory: 19674 2022/08/01 14:57:01 - mmengine - INFO - Epoch(val) [37][40/78] eta: 0:02:18 time: 3.6490 data_time: 2.8926 memory: 19674 2022/08/01 14:58:37 - mmengine - INFO - Epoch(val) [37][60/78] eta: 0:01:26 time: 4.7912 data_time: 4.0504 memory: 19674 2022/08/01 14:59:50 - mmengine - INFO - Epoch(val) [37][78/78] acc/top1: 0.5706 acc/top5: 0.8034 acc/mean1: 0.5704 2022/08/01 15:00:05 - mmengine - INFO - Epoch(train) [38][20/940] lr: 6.0000e-02 eta: 8:42:03 time: 0.7167 data_time: 0.3002 memory: 19674 grad_norm: 2.4575 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9634 loss: 1.9634 2022/08/01 15:00:15 - mmengine - INFO - Epoch(train) [38][40/940] lr: 6.0000e-02 eta: 8:41:51 time: 0.5119 data_time: 0.0350 memory: 13609 grad_norm: 2.4817 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0183 loss: 2.0183 2022/08/01 15:00:26 - mmengine - INFO - Epoch(train) [38][60/940] lr: 6.0000e-02 eta: 8:41:42 time: 0.5591 data_time: 0.0380 memory: 13609 grad_norm: 2.4766 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.1286 loss: 2.1286 2022/08/01 15:00:36 - mmengine - INFO - Epoch(train) [38][80/940] lr: 6.0000e-02 eta: 8:41:30 time: 0.4872 data_time: 0.0350 memory: 13609 grad_norm: 2.4369 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9623 loss: 1.9623 2022/08/01 15:00:47 - mmengine - INFO - Epoch(train) [38][100/940] lr: 6.0000e-02 eta: 8:41:21 time: 0.5782 data_time: 0.0347 memory: 13609 grad_norm: 2.5422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1045 loss: 2.1045 2022/08/01 15:00:57 - mmengine - INFO - Epoch(train) [38][120/940] lr: 6.0000e-02 eta: 8:41:09 time: 0.4862 data_time: 0.0447 memory: 13609 grad_norm: 2.4683 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0292 loss: 2.0292 2022/08/01 15:01:09 - mmengine - INFO - Epoch(train) [38][140/940] lr: 6.0000e-02 eta: 8:41:00 time: 0.5951 data_time: 0.0315 memory: 13609 grad_norm: 2.4608 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9545 loss: 1.9545 2022/08/01 15:01:18 - mmengine - INFO - Epoch(train) [38][160/940] lr: 6.0000e-02 eta: 8:40:47 time: 0.4487 data_time: 0.0341 memory: 13609 grad_norm: 2.4992 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0732 loss: 2.0732 2022/08/01 15:01:30 - mmengine - INFO - Epoch(train) [38][180/940] lr: 6.0000e-02 eta: 8:40:39 time: 0.5868 data_time: 0.0327 memory: 13609 grad_norm: 2.4793 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9431 loss: 1.9431 2022/08/01 15:01:39 - mmengine - INFO - Epoch(train) [38][200/940] lr: 6.0000e-02 eta: 8:40:26 time: 0.4741 data_time: 0.0338 memory: 13609 grad_norm: 2.5266 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9664 loss: 1.9664 2022/08/01 15:01:50 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:01:50 - mmengine - INFO - Epoch(train) [38][220/940] lr: 6.0000e-02 eta: 8:40:17 time: 0.5617 data_time: 0.0386 memory: 13609 grad_norm: 2.5361 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.1507 loss: 2.1507 2022/08/01 15:02:01 - mmengine - INFO - Epoch(train) [38][240/940] lr: 6.0000e-02 eta: 8:40:06 time: 0.5215 data_time: 0.0415 memory: 13609 grad_norm: 2.5265 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1053 loss: 2.1053 2022/08/01 15:02:11 - mmengine - INFO - Epoch(train) [38][260/940] lr: 6.0000e-02 eta: 8:39:54 time: 0.4990 data_time: 0.0376 memory: 13609 grad_norm: 2.4818 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0246 loss: 2.0246 2022/08/01 15:02:21 - mmengine - INFO - Epoch(train) [38][280/940] lr: 6.0000e-02 eta: 8:39:43 time: 0.5045 data_time: 0.0398 memory: 13609 grad_norm: 2.4877 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/08/01 15:02:32 - mmengine - INFO - Epoch(train) [38][300/940] lr: 6.0000e-02 eta: 8:39:33 time: 0.5420 data_time: 0.0566 memory: 13609 grad_norm: 2.5171 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9698 loss: 1.9698 2022/08/01 15:02:42 - mmengine - INFO - Epoch(train) [38][320/940] lr: 6.0000e-02 eta: 8:39:22 time: 0.5233 data_time: 0.0953 memory: 13609 grad_norm: 2.5226 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0718 loss: 2.0718 2022/08/01 15:02:53 - mmengine - INFO - Epoch(train) [38][340/940] lr: 6.0000e-02 eta: 8:39:12 time: 0.5555 data_time: 0.1650 memory: 13609 grad_norm: 2.5465 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0855 loss: 2.0855 2022/08/01 15:03:03 - mmengine - INFO - Epoch(train) [38][360/940] lr: 6.0000e-02 eta: 8:39:00 time: 0.4713 data_time: 0.0782 memory: 13609 grad_norm: 2.5202 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0761 loss: 2.0761 2022/08/01 15:03:15 - mmengine - INFO - Epoch(train) [38][380/940] lr: 6.0000e-02 eta: 8:38:51 time: 0.5906 data_time: 0.1050 memory: 13609 grad_norm: 2.5183 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1848 loss: 2.1848 2022/08/01 15:03:24 - mmengine - INFO - Epoch(train) [38][400/940] lr: 6.0000e-02 eta: 8:38:38 time: 0.4572 data_time: 0.0527 memory: 13609 grad_norm: 2.5098 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.0843 loss: 2.0843 2022/08/01 15:03:35 - mmengine - INFO - Epoch(train) [38][420/940] lr: 6.0000e-02 eta: 8:38:28 time: 0.5464 data_time: 0.0377 memory: 13609 grad_norm: 2.4477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9777 loss: 1.9777 2022/08/01 15:03:45 - mmengine - INFO - Epoch(train) [38][440/940] lr: 6.0000e-02 eta: 8:38:18 time: 0.5322 data_time: 0.0321 memory: 13609 grad_norm: 2.4711 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1613 loss: 2.1613 2022/08/01 15:03:57 - mmengine - INFO - Epoch(train) [38][460/940] lr: 6.0000e-02 eta: 8:38:08 time: 0.5632 data_time: 0.0350 memory: 13609 grad_norm: 2.4919 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 2.1452 loss: 2.1452 2022/08/01 15:04:05 - mmengine - INFO - Epoch(train) [38][480/940] lr: 6.0000e-02 eta: 8:37:55 time: 0.4413 data_time: 0.0524 memory: 13609 grad_norm: 2.5093 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0323 loss: 2.0323 2022/08/01 15:04:17 - mmengine - INFO - Epoch(train) [38][500/940] lr: 6.0000e-02 eta: 8:37:46 time: 0.5880 data_time: 0.1143 memory: 13609 grad_norm: 2.4566 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9106 loss: 1.9106 2022/08/01 15:04:26 - mmengine - INFO - Epoch(train) [38][520/940] lr: 6.0000e-02 eta: 8:37:32 time: 0.4306 data_time: 0.1031 memory: 13609 grad_norm: 2.4974 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1113 loss: 2.1113 2022/08/01 15:04:38 - mmengine - INFO - Epoch(train) [38][540/940] lr: 6.0000e-02 eta: 8:37:25 time: 0.6193 data_time: 0.1149 memory: 13609 grad_norm: 2.5001 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.2715 loss: 2.2715 2022/08/01 15:04:49 - mmengine - INFO - Epoch(train) [38][560/940] lr: 6.0000e-02 eta: 8:37:14 time: 0.5193 data_time: 0.0498 memory: 13609 grad_norm: 2.5480 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 2.1330 loss: 2.1330 2022/08/01 15:05:00 - mmengine - INFO - Epoch(train) [38][580/940] lr: 6.0000e-02 eta: 8:37:04 time: 0.5556 data_time: 0.0353 memory: 13609 grad_norm: 2.5059 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.0792 loss: 2.0792 2022/08/01 15:05:09 - mmengine - INFO - Epoch(train) [38][600/940] lr: 6.0000e-02 eta: 8:36:51 time: 0.4551 data_time: 0.0359 memory: 13609 grad_norm: 2.4879 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0652 loss: 2.0652 2022/08/01 15:05:20 - mmengine - INFO - Epoch(train) [38][620/940] lr: 6.0000e-02 eta: 8:36:42 time: 0.5671 data_time: 0.0323 memory: 13609 grad_norm: 2.4636 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1756 loss: 2.1756 2022/08/01 15:05:31 - mmengine - INFO - Epoch(train) [38][640/940] lr: 6.0000e-02 eta: 8:36:32 time: 0.5478 data_time: 0.0343 memory: 13609 grad_norm: 2.5280 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1509 loss: 2.1509 2022/08/01 15:05:42 - mmengine - INFO - Epoch(train) [38][660/940] lr: 6.0000e-02 eta: 8:36:22 time: 0.5558 data_time: 0.0340 memory: 13609 grad_norm: 2.4656 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0735 loss: 2.0735 2022/08/01 15:05:52 - mmengine - INFO - Epoch(train) [38][680/940] lr: 6.0000e-02 eta: 8:36:10 time: 0.4845 data_time: 0.0336 memory: 13609 grad_norm: 2.4731 top1_acc: 0.3438 top5_acc: 0.8125 loss_cls: 2.1639 loss: 2.1639 2022/08/01 15:06:03 - mmengine - INFO - Epoch(train) [38][700/940] lr: 6.0000e-02 eta: 8:36:00 time: 0.5527 data_time: 0.0362 memory: 13609 grad_norm: 2.4711 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 2.0638 loss: 2.0638 2022/08/01 15:06:13 - mmengine - INFO - Epoch(train) [38][720/940] lr: 6.0000e-02 eta: 8:35:48 time: 0.4836 data_time: 0.0360 memory: 13609 grad_norm: 2.4947 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2340 loss: 2.2340 2022/08/01 15:06:23 - mmengine - INFO - Epoch(train) [38][740/940] lr: 6.0000e-02 eta: 8:35:38 time: 0.5331 data_time: 0.0368 memory: 13609 grad_norm: 2.4964 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 2.2051 loss: 2.2051 2022/08/01 15:06:33 - mmengine - INFO - Epoch(train) [38][760/940] lr: 6.0000e-02 eta: 8:35:26 time: 0.4811 data_time: 0.0366 memory: 13609 grad_norm: 2.4775 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9939 loss: 1.9939 2022/08/01 15:06:44 - mmengine - INFO - Epoch(train) [38][780/940] lr: 6.0000e-02 eta: 8:35:15 time: 0.5403 data_time: 0.0317 memory: 13609 grad_norm: 2.5114 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0680 loss: 2.0680 2022/08/01 15:06:54 - mmengine - INFO - Epoch(train) [38][800/940] lr: 6.0000e-02 eta: 8:35:04 time: 0.4974 data_time: 0.0364 memory: 13609 grad_norm: 2.4218 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9640 loss: 1.9640 2022/08/01 15:07:05 - mmengine - INFO - Epoch(train) [38][820/940] lr: 6.0000e-02 eta: 8:34:54 time: 0.5675 data_time: 0.0436 memory: 13609 grad_norm: 2.4805 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2371 loss: 2.2371 2022/08/01 15:07:15 - mmengine - INFO - Epoch(train) [38][840/940] lr: 6.0000e-02 eta: 8:34:42 time: 0.4828 data_time: 0.0335 memory: 13609 grad_norm: 2.5298 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.1120 loss: 2.1120 2022/08/01 15:07:26 - mmengine - INFO - Epoch(train) [38][860/940] lr: 6.0000e-02 eta: 8:34:32 time: 0.5512 data_time: 0.0526 memory: 13609 grad_norm: 2.4837 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9615 loss: 1.9615 2022/08/01 15:07:36 - mmengine - INFO - Epoch(train) [38][880/940] lr: 6.0000e-02 eta: 8:34:21 time: 0.5083 data_time: 0.0319 memory: 13609 grad_norm: 2.4897 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0984 loss: 2.0984 2022/08/01 15:07:48 - mmengine - INFO - Epoch(train) [38][900/940] lr: 6.0000e-02 eta: 8:34:13 time: 0.6092 data_time: 0.0338 memory: 13609 grad_norm: 2.4875 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0946 loss: 2.0946 2022/08/01 15:07:58 - mmengine - INFO - Epoch(train) [38][920/940] lr: 6.0000e-02 eta: 8:34:02 time: 0.5049 data_time: 0.0347 memory: 13609 grad_norm: 2.4845 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.9359 loss: 1.9359 2022/08/01 15:08:06 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:08:06 - mmengine - INFO - Epoch(train) [38][940/940] lr: 6.0000e-02 eta: 8:33:48 time: 0.4159 data_time: 0.0231 memory: 13609 grad_norm: 2.5989 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.2306 loss: 2.2306 2022/08/01 15:09:51 - mmengine - INFO - Epoch(val) [38][20/78] eta: 0:05:04 time: 5.2493 data_time: 4.4888 memory: 19674 2022/08/01 15:11:04 - mmengine - INFO - Epoch(val) [38][40/78] eta: 0:02:16 time: 3.6033 data_time: 2.8499 memory: 19674 2022/08/01 15:12:39 - mmengine - INFO - Epoch(val) [38][60/78] eta: 0:01:25 time: 4.7749 data_time: 4.0325 memory: 19674 2022/08/01 15:13:55 - mmengine - INFO - Epoch(val) [38][78/78] acc/top1: 0.5714 acc/top5: 0.8015 acc/mean1: 0.5712 2022/08/01 15:14:09 - mmengine - INFO - Epoch(train) [39][20/940] lr: 6.0000e-02 eta: 8:33:42 time: 0.6808 data_time: 0.2272 memory: 19674 grad_norm: 2.4778 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.2236 loss: 2.2236 2022/08/01 15:14:18 - mmengine - INFO - Epoch(train) [39][40/940] lr: 6.0000e-02 eta: 8:33:30 time: 0.4811 data_time: 0.0465 memory: 13609 grad_norm: 2.4369 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9401 loss: 1.9401 2022/08/01 15:14:30 - mmengine - INFO - Epoch(train) [39][60/940] lr: 6.0000e-02 eta: 8:33:21 time: 0.5796 data_time: 0.1446 memory: 13609 grad_norm: 2.4379 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0111 loss: 2.0111 2022/08/01 15:14:40 - mmengine - INFO - Epoch(train) [39][80/940] lr: 6.0000e-02 eta: 8:33:10 time: 0.5141 data_time: 0.0380 memory: 13609 grad_norm: 2.5119 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0428 loss: 2.0428 2022/08/01 15:14:51 - mmengine - INFO - Epoch(train) [39][100/940] lr: 6.0000e-02 eta: 8:33:00 time: 0.5653 data_time: 0.0388 memory: 13609 grad_norm: 2.4961 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.8877 loss: 1.8877 2022/08/01 15:15:01 - mmengine - INFO - Epoch(train) [39][120/940] lr: 6.0000e-02 eta: 8:32:49 time: 0.4961 data_time: 0.0297 memory: 13609 grad_norm: 2.5123 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1501 loss: 2.1501 2022/08/01 15:15:13 - mmengine - INFO - Epoch(train) [39][140/940] lr: 6.0000e-02 eta: 8:32:39 time: 0.5652 data_time: 0.0449 memory: 13609 grad_norm: 2.5060 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.0754 loss: 2.0754 2022/08/01 15:15:22 - mmengine - INFO - Epoch(train) [39][160/940] lr: 6.0000e-02 eta: 8:32:27 time: 0.4694 data_time: 0.0418 memory: 13609 grad_norm: 2.5011 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9319 loss: 1.9319 2022/08/01 15:15:34 - mmengine - INFO - Epoch(train) [39][180/940] lr: 6.0000e-02 eta: 8:32:18 time: 0.5936 data_time: 0.0456 memory: 13609 grad_norm: 2.5229 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1708 loss: 2.1708 2022/08/01 15:15:43 - mmengine - INFO - Epoch(train) [39][200/940] lr: 6.0000e-02 eta: 8:32:06 time: 0.4708 data_time: 0.0297 memory: 13609 grad_norm: 2.4773 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0129 loss: 2.0129 2022/08/01 15:15:54 - mmengine - INFO - Epoch(train) [39][220/940] lr: 6.0000e-02 eta: 8:31:55 time: 0.5343 data_time: 0.0338 memory: 13609 grad_norm: 2.5312 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.0370 loss: 2.0370 2022/08/01 15:16:04 - mmengine - INFO - Epoch(train) [39][240/940] lr: 6.0000e-02 eta: 8:31:43 time: 0.4843 data_time: 0.0266 memory: 13609 grad_norm: 2.4788 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0311 loss: 2.0311 2022/08/01 15:16:16 - mmengine - INFO - Epoch(train) [39][260/940] lr: 6.0000e-02 eta: 8:31:35 time: 0.6007 data_time: 0.0305 memory: 13609 grad_norm: 2.4683 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1272 loss: 2.1272 2022/08/01 15:16:25 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:16:25 - mmengine - INFO - Epoch(train) [39][280/940] lr: 6.0000e-02 eta: 8:31:22 time: 0.4560 data_time: 0.0357 memory: 13609 grad_norm: 2.4833 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1648 loss: 2.1648 2022/08/01 15:16:37 - mmengine - INFO - Epoch(train) [39][300/940] lr: 6.0000e-02 eta: 8:31:14 time: 0.6015 data_time: 0.0386 memory: 13609 grad_norm: 2.4143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0402 loss: 2.0402 2022/08/01 15:16:46 - mmengine - INFO - Epoch(train) [39][320/940] lr: 6.0000e-02 eta: 8:31:02 time: 0.4817 data_time: 0.0409 memory: 13609 grad_norm: 2.5375 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.0889 loss: 2.0889 2022/08/01 15:16:57 - mmengine - INFO - Epoch(train) [39][340/940] lr: 6.0000e-02 eta: 8:30:52 time: 0.5488 data_time: 0.0350 memory: 13609 grad_norm: 2.4912 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0740 loss: 2.0740 2022/08/01 15:17:07 - mmengine - INFO - Epoch(train) [39][360/940] lr: 6.0000e-02 eta: 8:30:40 time: 0.4895 data_time: 0.0462 memory: 13609 grad_norm: 2.5166 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0099 loss: 2.0099 2022/08/01 15:17:19 - mmengine - INFO - Epoch(train) [39][380/940] lr: 6.0000e-02 eta: 8:30:31 time: 0.5827 data_time: 0.0868 memory: 13609 grad_norm: 2.5141 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9987 loss: 1.9987 2022/08/01 15:17:29 - mmengine - INFO - Epoch(train) [39][400/940] lr: 6.0000e-02 eta: 8:30:20 time: 0.5095 data_time: 0.0430 memory: 13609 grad_norm: 2.5396 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0902 loss: 2.0902 2022/08/01 15:17:40 - mmengine - INFO - Epoch(train) [39][420/940] lr: 6.0000e-02 eta: 8:30:10 time: 0.5534 data_time: 0.0652 memory: 13609 grad_norm: 2.4982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0562 loss: 2.0562 2022/08/01 15:17:49 - mmengine - INFO - Epoch(train) [39][440/940] lr: 6.0000e-02 eta: 8:29:57 time: 0.4584 data_time: 0.0334 memory: 13609 grad_norm: 2.4996 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1918 loss: 2.1918 2022/08/01 15:18:01 - mmengine - INFO - Epoch(train) [39][460/940] lr: 6.0000e-02 eta: 8:29:48 time: 0.5597 data_time: 0.1268 memory: 13609 grad_norm: 2.4866 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 2.0910 loss: 2.0910 2022/08/01 15:18:11 - mmengine - INFO - Epoch(train) [39][480/940] lr: 6.0000e-02 eta: 8:29:37 time: 0.5359 data_time: 0.0534 memory: 13609 grad_norm: 2.5282 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1719 loss: 2.1719 2022/08/01 15:18:21 - mmengine - INFO - Epoch(train) [39][500/940] lr: 6.0000e-02 eta: 8:29:25 time: 0.4826 data_time: 0.0337 memory: 13609 grad_norm: 2.4427 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1069 loss: 2.1069 2022/08/01 15:18:32 - mmengine - INFO - Epoch(train) [39][520/940] lr: 6.0000e-02 eta: 8:29:15 time: 0.5430 data_time: 0.0529 memory: 13609 grad_norm: 2.4936 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2747 loss: 2.2747 2022/08/01 15:18:42 - mmengine - INFO - Epoch(train) [39][540/940] lr: 6.0000e-02 eta: 8:29:04 time: 0.4956 data_time: 0.0567 memory: 13609 grad_norm: 2.5233 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9991 loss: 1.9991 2022/08/01 15:18:53 - mmengine - INFO - Epoch(train) [39][560/940] lr: 6.0000e-02 eta: 8:28:54 time: 0.5556 data_time: 0.0882 memory: 13609 grad_norm: 2.5419 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.2310 loss: 2.2310 2022/08/01 15:19:02 - mmengine - INFO - Epoch(train) [39][580/940] lr: 6.0000e-02 eta: 8:28:41 time: 0.4597 data_time: 0.0665 memory: 13609 grad_norm: 2.5360 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1853 loss: 2.1853 2022/08/01 15:19:14 - mmengine - INFO - Epoch(train) [39][600/940] lr: 6.0000e-02 eta: 8:28:33 time: 0.6035 data_time: 0.2151 memory: 13609 grad_norm: 2.4626 top1_acc: 0.4062 top5_acc: 0.5312 loss_cls: 2.0558 loss: 2.0558 2022/08/01 15:19:24 - mmengine - INFO - Epoch(train) [39][620/940] lr: 6.0000e-02 eta: 8:28:21 time: 0.4898 data_time: 0.1835 memory: 13609 grad_norm: 2.5370 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0563 loss: 2.0563 2022/08/01 15:19:35 - mmengine - INFO - Epoch(train) [39][640/940] lr: 6.0000e-02 eta: 8:28:11 time: 0.5419 data_time: 0.2138 memory: 13609 grad_norm: 2.4496 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/08/01 15:19:45 - mmengine - INFO - Epoch(train) [39][660/940] lr: 6.0000e-02 eta: 8:28:00 time: 0.5276 data_time: 0.1963 memory: 13609 grad_norm: 2.4724 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0009 loss: 2.0009 2022/08/01 15:19:55 - mmengine - INFO - Epoch(train) [39][680/940] lr: 6.0000e-02 eta: 8:27:48 time: 0.4886 data_time: 0.1742 memory: 13609 grad_norm: 2.5226 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0864 loss: 2.0864 2022/08/01 15:20:06 - mmengine - INFO - Epoch(train) [39][700/940] lr: 6.0000e-02 eta: 8:27:39 time: 0.5666 data_time: 0.0952 memory: 13609 grad_norm: 2.4637 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.1063 loss: 2.1063 2022/08/01 15:20:16 - mmengine - INFO - Epoch(train) [39][720/940] lr: 6.0000e-02 eta: 8:27:27 time: 0.4987 data_time: 0.0824 memory: 13609 grad_norm: 2.5121 top1_acc: 0.3438 top5_acc: 0.7500 loss_cls: 2.2213 loss: 2.2213 2022/08/01 15:20:26 - mmengine - INFO - Epoch(train) [39][740/940] lr: 6.0000e-02 eta: 8:27:15 time: 0.4752 data_time: 0.1200 memory: 13609 grad_norm: 2.4973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0335 loss: 2.0335 2022/08/01 15:20:37 - mmengine - INFO - Epoch(train) [39][760/940] lr: 6.0000e-02 eta: 8:27:06 time: 0.5785 data_time: 0.1969 memory: 13609 grad_norm: 2.4971 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1869 loss: 2.1869 2022/08/01 15:20:47 - mmengine - INFO - Epoch(train) [39][780/940] lr: 6.0000e-02 eta: 8:26:55 time: 0.4996 data_time: 0.0895 memory: 13609 grad_norm: 2.4246 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1931 loss: 2.1931 2022/08/01 15:20:58 - mmengine - INFO - Epoch(train) [39][800/940] lr: 6.0000e-02 eta: 8:26:44 time: 0.5377 data_time: 0.1623 memory: 13609 grad_norm: 2.4904 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.0690 loss: 2.0690 2022/08/01 15:21:09 - mmengine - INFO - Epoch(train) [39][820/940] lr: 6.0000e-02 eta: 8:26:34 time: 0.5248 data_time: 0.0694 memory: 13609 grad_norm: 2.5152 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1353 loss: 2.1353 2022/08/01 15:21:19 - mmengine - INFO - Epoch(train) [39][840/940] lr: 6.0000e-02 eta: 8:26:22 time: 0.4978 data_time: 0.0372 memory: 13609 grad_norm: 2.4412 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1065 loss: 2.1065 2022/08/01 15:21:29 - mmengine - INFO - Epoch(train) [39][860/940] lr: 6.0000e-02 eta: 8:26:10 time: 0.4949 data_time: 0.0884 memory: 13609 grad_norm: 2.5448 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2023 loss: 2.2023 2022/08/01 15:21:39 - mmengine - INFO - Epoch(train) [39][880/940] lr: 6.0000e-02 eta: 8:25:59 time: 0.5070 data_time: 0.0607 memory: 13609 grad_norm: 2.4706 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1276 loss: 2.1276 2022/08/01 15:21:50 - mmengine - INFO - Epoch(train) [39][900/940] lr: 6.0000e-02 eta: 8:25:50 time: 0.5838 data_time: 0.0419 memory: 13609 grad_norm: 2.4900 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2523 loss: 2.2523 2022/08/01 15:22:01 - mmengine - INFO - Epoch(train) [39][920/940] lr: 6.0000e-02 eta: 8:25:39 time: 0.5209 data_time: 0.0401 memory: 13609 grad_norm: 2.5034 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2227 loss: 2.2227 2022/08/01 15:22:10 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:22:10 - mmengine - INFO - Epoch(train) [39][940/940] lr: 6.0000e-02 eta: 8:25:26 time: 0.4467 data_time: 0.0239 memory: 13609 grad_norm: 2.5905 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.2059 loss: 2.2059 2022/08/01 15:22:10 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/01 15:23:57 - mmengine - INFO - Epoch(val) [39][20/78] eta: 0:05:07 time: 5.3052 data_time: 4.5525 memory: 19674 2022/08/01 15:25:09 - mmengine - INFO - Epoch(val) [39][40/78] eta: 0:02:17 time: 3.6060 data_time: 2.8580 memory: 19674 2022/08/01 15:26:45 - mmengine - INFO - Epoch(val) [39][60/78] eta: 0:01:26 time: 4.8116 data_time: 4.0602 memory: 19674 2022/08/01 15:27:57 - mmengine - INFO - Epoch(val) [39][78/78] acc/top1: 0.5908 acc/top5: 0.8211 acc/mean1: 0.5908 2022/08/01 15:28:12 - mmengine - INFO - Epoch(train) [40][20/940] lr: 6.0000e-02 eta: 8:25:22 time: 0.7305 data_time: 0.4341 memory: 19674 grad_norm: 2.5103 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9932 loss: 1.9932 2022/08/01 15:28:22 - mmengine - INFO - Epoch(train) [40][40/940] lr: 6.0000e-02 eta: 8:25:11 time: 0.5063 data_time: 0.2034 memory: 13609 grad_norm: 2.4823 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0493 loss: 2.0493 2022/08/01 15:28:32 - mmengine - INFO - Epoch(train) [40][60/940] lr: 6.0000e-02 eta: 8:25:00 time: 0.5184 data_time: 0.1983 memory: 13609 grad_norm: 2.5365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9985 loss: 1.9985 2022/08/01 15:28:43 - mmengine - INFO - Epoch(train) [40][80/940] lr: 6.0000e-02 eta: 8:24:49 time: 0.5092 data_time: 0.0770 memory: 13609 grad_norm: 2.5201 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0454 loss: 2.0454 2022/08/01 15:28:53 - mmengine - INFO - Epoch(train) [40][100/940] lr: 6.0000e-02 eta: 8:24:39 time: 0.5462 data_time: 0.0450 memory: 13609 grad_norm: 2.4990 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.9685 loss: 1.9685 2022/08/01 15:29:03 - mmengine - INFO - Epoch(train) [40][120/940] lr: 6.0000e-02 eta: 8:24:27 time: 0.4984 data_time: 0.0882 memory: 13609 grad_norm: 2.4523 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.0202 loss: 2.0202 2022/08/01 15:29:15 - mmengine - INFO - Epoch(train) [40][140/940] lr: 6.0000e-02 eta: 8:24:19 time: 0.5981 data_time: 0.0711 memory: 13609 grad_norm: 2.4445 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0852 loss: 2.0852 2022/08/01 15:29:25 - mmengine - INFO - Epoch(train) [40][160/940] lr: 6.0000e-02 eta: 8:24:07 time: 0.4830 data_time: 0.0731 memory: 13609 grad_norm: 2.5049 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9748 loss: 1.9748 2022/08/01 15:29:36 - mmengine - INFO - Epoch(train) [40][180/940] lr: 6.0000e-02 eta: 8:23:57 time: 0.5612 data_time: 0.1464 memory: 13609 grad_norm: 2.5432 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0698 loss: 2.0698 2022/08/01 15:29:46 - mmengine - INFO - Epoch(train) [40][200/940] lr: 6.0000e-02 eta: 8:23:45 time: 0.4929 data_time: 0.1675 memory: 13609 grad_norm: 2.5210 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1841 loss: 2.1841 2022/08/01 15:29:57 - mmengine - INFO - Epoch(train) [40][220/940] lr: 6.0000e-02 eta: 8:23:36 time: 0.5647 data_time: 0.0685 memory: 13609 grad_norm: 2.5150 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.0459 loss: 2.0459 2022/08/01 15:30:07 - mmengine - INFO - Epoch(train) [40][240/940] lr: 6.0000e-02 eta: 8:23:24 time: 0.4807 data_time: 0.0314 memory: 13609 grad_norm: 2.5381 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9699 loss: 1.9699 2022/08/01 15:30:19 - mmengine - INFO - Epoch(train) [40][260/940] lr: 6.0000e-02 eta: 8:23:15 time: 0.5935 data_time: 0.0465 memory: 13609 grad_norm: 2.5272 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1641 loss: 2.1641 2022/08/01 15:30:28 - mmengine - INFO - Epoch(train) [40][280/940] lr: 6.0000e-02 eta: 8:23:03 time: 0.4627 data_time: 0.0362 memory: 13609 grad_norm: 2.5557 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0197 loss: 2.0197 2022/08/01 15:30:40 - mmengine - INFO - Epoch(train) [40][300/940] lr: 6.0000e-02 eta: 8:22:54 time: 0.5945 data_time: 0.0357 memory: 13609 grad_norm: 2.5183 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.2649 loss: 2.2649 2022/08/01 15:30:50 - mmengine - INFO - Epoch(train) [40][320/940] lr: 6.0000e-02 eta: 8:22:42 time: 0.4908 data_time: 0.0429 memory: 13609 grad_norm: 2.5205 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.1145 loss: 2.1145 2022/08/01 15:31:00 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:31:00 - mmengine - INFO - Epoch(train) [40][340/940] lr: 6.0000e-02 eta: 8:22:31 time: 0.5223 data_time: 0.0363 memory: 13609 grad_norm: 2.4988 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9876 loss: 1.9876 2022/08/01 15:31:10 - mmengine - INFO - Epoch(train) [40][360/940] lr: 6.0000e-02 eta: 8:22:20 time: 0.4891 data_time: 0.0351 memory: 13609 grad_norm: 2.5035 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0232 loss: 2.0232 2022/08/01 15:31:22 - mmengine - INFO - Epoch(train) [40][380/940] lr: 6.0000e-02 eta: 8:22:10 time: 0.5671 data_time: 0.0369 memory: 13609 grad_norm: 2.4905 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0388 loss: 2.0388 2022/08/01 15:31:31 - mmengine - INFO - Epoch(train) [40][400/940] lr: 6.0000e-02 eta: 8:21:58 time: 0.4761 data_time: 0.0306 memory: 13609 grad_norm: 2.4774 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.1314 loss: 2.1314 2022/08/01 15:31:42 - mmengine - INFO - Epoch(train) [40][420/940] lr: 6.0000e-02 eta: 8:21:49 time: 0.5632 data_time: 0.0326 memory: 13609 grad_norm: 2.4677 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.1275 loss: 2.1275 2022/08/01 15:31:53 - mmengine - INFO - Epoch(train) [40][440/940] lr: 6.0000e-02 eta: 8:21:38 time: 0.5242 data_time: 0.0262 memory: 13609 grad_norm: 2.5175 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0349 loss: 2.0349 2022/08/01 15:32:04 - mmengine - INFO - Epoch(train) [40][460/940] lr: 6.0000e-02 eta: 8:21:28 time: 0.5588 data_time: 0.0371 memory: 13609 grad_norm: 2.5112 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9864 loss: 1.9864 2022/08/01 15:32:14 - mmengine - INFO - Epoch(train) [40][480/940] lr: 6.0000e-02 eta: 8:21:16 time: 0.4844 data_time: 0.0269 memory: 13609 grad_norm: 2.4716 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9889 loss: 1.9889 2022/08/01 15:32:25 - mmengine - INFO - Epoch(train) [40][500/940] lr: 6.0000e-02 eta: 8:21:07 time: 0.5768 data_time: 0.0332 memory: 13609 grad_norm: 2.4374 top1_acc: 0.3438 top5_acc: 0.8125 loss_cls: 1.9439 loss: 1.9439 2022/08/01 15:32:36 - mmengine - INFO - Epoch(train) [40][520/940] lr: 6.0000e-02 eta: 8:20:56 time: 0.5281 data_time: 0.0419 memory: 13609 grad_norm: 2.5441 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8854 loss: 1.8854 2022/08/01 15:32:47 - mmengine - INFO - Epoch(train) [40][540/940] lr: 6.0000e-02 eta: 8:20:46 time: 0.5417 data_time: 0.0352 memory: 13609 grad_norm: 2.5289 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9838 loss: 1.9838 2022/08/01 15:32:57 - mmengine - INFO - Epoch(train) [40][560/940] lr: 6.0000e-02 eta: 8:20:36 time: 0.5236 data_time: 0.0387 memory: 13609 grad_norm: 2.5217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0902 loss: 2.0902 2022/08/01 15:33:09 - mmengine - INFO - Epoch(train) [40][580/940] lr: 6.0000e-02 eta: 8:20:27 time: 0.5927 data_time: 0.0337 memory: 13609 grad_norm: 2.5083 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.2042 loss: 2.2042 2022/08/01 15:33:18 - mmengine - INFO - Epoch(train) [40][600/940] lr: 6.0000e-02 eta: 8:20:14 time: 0.4524 data_time: 0.0363 memory: 13609 grad_norm: 2.4867 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0243 loss: 2.0243 2022/08/01 15:33:30 - mmengine - INFO - Epoch(train) [40][620/940] lr: 6.0000e-02 eta: 8:20:05 time: 0.5705 data_time: 0.0328 memory: 13609 grad_norm: 2.5163 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1776 loss: 2.1776 2022/08/01 15:33:39 - mmengine - INFO - Epoch(train) [40][640/940] lr: 6.0000e-02 eta: 8:19:53 time: 0.4966 data_time: 0.0421 memory: 13609 grad_norm: 2.5146 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0014 loss: 2.0014 2022/08/01 15:33:51 - mmengine - INFO - Epoch(train) [40][660/940] lr: 6.0000e-02 eta: 8:19:45 time: 0.5985 data_time: 0.0353 memory: 13609 grad_norm: 2.5043 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0171 loss: 2.0171 2022/08/01 15:34:01 - mmengine - INFO - Epoch(train) [40][680/940] lr: 6.0000e-02 eta: 8:19:32 time: 0.4615 data_time: 0.0401 memory: 13609 grad_norm: 2.5715 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2777 loss: 2.2777 2022/08/01 15:34:13 - mmengine - INFO - Epoch(train) [40][700/940] lr: 6.0000e-02 eta: 8:19:24 time: 0.6184 data_time: 0.0279 memory: 13609 grad_norm: 2.5463 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.2571 loss: 2.2571 2022/08/01 15:34:21 - mmengine - INFO - Epoch(train) [40][720/940] lr: 6.0000e-02 eta: 8:19:10 time: 0.4214 data_time: 0.0335 memory: 13609 grad_norm: 2.5295 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0265 loss: 2.0265 2022/08/01 15:34:33 - mmengine - INFO - Epoch(train) [40][740/940] lr: 6.0000e-02 eta: 8:19:01 time: 0.5709 data_time: 0.0307 memory: 13609 grad_norm: 2.5526 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2681 loss: 2.2681 2022/08/01 15:34:43 - mmengine - INFO - Epoch(train) [40][760/940] lr: 6.0000e-02 eta: 8:18:49 time: 0.4881 data_time: 0.0325 memory: 13609 grad_norm: 2.4760 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0168 loss: 2.0168 2022/08/01 15:34:54 - mmengine - INFO - Epoch(train) [40][780/940] lr: 6.0000e-02 eta: 8:18:40 time: 0.5650 data_time: 0.0288 memory: 13609 grad_norm: 2.4519 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.9845 loss: 1.9845 2022/08/01 15:35:03 - mmengine - INFO - Epoch(train) [40][800/940] lr: 6.0000e-02 eta: 8:18:27 time: 0.4491 data_time: 0.0381 memory: 13609 grad_norm: 2.4947 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1284 loss: 2.1284 2022/08/01 15:35:14 - mmengine - INFO - Epoch(train) [40][820/940] lr: 6.0000e-02 eta: 8:18:17 time: 0.5663 data_time: 0.0348 memory: 13609 grad_norm: 2.5002 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0625 loss: 2.0625 2022/08/01 15:35:24 - mmengine - INFO - Epoch(train) [40][840/940] lr: 6.0000e-02 eta: 8:18:06 time: 0.4925 data_time: 0.0346 memory: 13609 grad_norm: 2.4790 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/01 15:35:35 - mmengine - INFO - Epoch(train) [40][860/940] lr: 6.0000e-02 eta: 8:17:56 time: 0.5620 data_time: 0.0358 memory: 13609 grad_norm: 2.4961 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9776 loss: 1.9776 2022/08/01 15:35:45 - mmengine - INFO - Epoch(train) [40][880/940] lr: 6.0000e-02 eta: 8:17:44 time: 0.4952 data_time: 0.0316 memory: 13609 grad_norm: 2.5516 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4099 loss: 2.4099 2022/08/01 15:35:56 - mmengine - INFO - Epoch(train) [40][900/940] lr: 6.0000e-02 eta: 8:17:34 time: 0.5303 data_time: 0.0383 memory: 13609 grad_norm: 2.5461 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2275 loss: 2.2275 2022/08/01 15:36:06 - mmengine - INFO - Epoch(train) [40][920/940] lr: 6.0000e-02 eta: 8:17:23 time: 0.5304 data_time: 0.0453 memory: 13609 grad_norm: 2.4972 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.2266 loss: 2.2266 2022/08/01 15:36:15 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:36:15 - mmengine - INFO - Epoch(train) [40][940/940] lr: 6.0000e-02 eta: 8:17:10 time: 0.4467 data_time: 0.0229 memory: 13609 grad_norm: 2.5767 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 2.0730 loss: 2.0730 2022/08/01 15:38:00 - mmengine - INFO - Epoch(val) [40][20/78] eta: 0:05:03 time: 5.2370 data_time: 4.4665 memory: 19674 2022/08/01 15:39:12 - mmengine - INFO - Epoch(val) [40][40/78] eta: 0:02:17 time: 3.6162 data_time: 2.8609 memory: 19674 2022/08/01 15:40:49 - mmengine - INFO - Epoch(val) [40][60/78] eta: 0:01:26 time: 4.8027 data_time: 4.0583 memory: 19674 2022/08/01 15:42:02 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.5883 acc/top5: 0.8181 acc/mean1: 0.5881 2022/08/01 15:42:17 - mmengine - INFO - Epoch(train) [41][20/940] lr: 6.0000e-03 eta: 8:17:05 time: 0.7070 data_time: 0.3011 memory: 19674 grad_norm: 2.4649 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8646 loss: 1.8646 2022/08/01 15:42:26 - mmengine - INFO - Epoch(train) [41][40/940] lr: 6.0000e-03 eta: 8:16:53 time: 0.4947 data_time: 0.0580 memory: 13609 grad_norm: 2.3342 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9610 loss: 1.9610 2022/08/01 15:42:38 - mmengine - INFO - Epoch(train) [41][60/940] lr: 6.0000e-03 eta: 8:16:44 time: 0.5644 data_time: 0.0826 memory: 13609 grad_norm: 2.3563 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9096 loss: 1.9096 2022/08/01 15:42:47 - mmengine - INFO - Epoch(train) [41][80/940] lr: 6.0000e-03 eta: 8:16:32 time: 0.4821 data_time: 0.0920 memory: 13609 grad_norm: 2.3021 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 2.0099 loss: 2.0099 2022/08/01 15:42:59 - mmengine - INFO - Epoch(train) [41][100/940] lr: 6.0000e-03 eta: 8:16:23 time: 0.5985 data_time: 0.1318 memory: 13609 grad_norm: 2.3078 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8205 loss: 1.8205 2022/08/01 15:43:09 - mmengine - INFO - Epoch(train) [41][120/940] lr: 6.0000e-03 eta: 8:16:11 time: 0.4663 data_time: 0.1038 memory: 13609 grad_norm: 2.3035 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.8329 loss: 1.8329 2022/08/01 15:43:19 - mmengine - INFO - Epoch(train) [41][140/940] lr: 6.0000e-03 eta: 8:16:01 time: 0.5394 data_time: 0.1920 memory: 13609 grad_norm: 2.3456 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8530 loss: 1.8530 2022/08/01 15:43:29 - mmengine - INFO - Epoch(train) [41][160/940] lr: 6.0000e-03 eta: 8:15:49 time: 0.4872 data_time: 0.1571 memory: 13609 grad_norm: 2.2956 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7957 loss: 1.7957 2022/08/01 15:43:40 - mmengine - INFO - Epoch(train) [41][180/940] lr: 6.0000e-03 eta: 8:15:39 time: 0.5452 data_time: 0.2172 memory: 13609 grad_norm: 2.3326 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7891 loss: 1.7891 2022/08/01 15:43:50 - mmengine - INFO - Epoch(train) [41][200/940] lr: 6.0000e-03 eta: 8:15:28 time: 0.5090 data_time: 0.1265 memory: 13609 grad_norm: 2.3262 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8145 loss: 1.8145 2022/08/01 15:44:03 - mmengine - INFO - Epoch(train) [41][220/940] lr: 6.0000e-03 eta: 8:15:20 time: 0.6301 data_time: 0.0322 memory: 13609 grad_norm: 2.2632 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.7194 loss: 1.7194 2022/08/01 15:44:12 - mmengine - INFO - Epoch(train) [41][240/940] lr: 6.0000e-03 eta: 8:15:07 time: 0.4469 data_time: 0.0347 memory: 13609 grad_norm: 2.2667 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6639 loss: 1.6639 2022/08/01 15:44:22 - mmengine - INFO - Epoch(train) [41][260/940] lr: 6.0000e-03 eta: 8:14:57 time: 0.5325 data_time: 0.0319 memory: 13609 grad_norm: 2.2861 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7134 loss: 1.7134 2022/08/01 15:44:33 - mmengine - INFO - Epoch(train) [41][280/940] lr: 6.0000e-03 eta: 8:14:46 time: 0.5220 data_time: 0.0327 memory: 13609 grad_norm: 2.3054 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8221 loss: 1.8221 2022/08/01 15:44:44 - mmengine - INFO - Epoch(train) [41][300/940] lr: 6.0000e-03 eta: 8:14:36 time: 0.5655 data_time: 0.0334 memory: 13609 grad_norm: 2.3200 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7100 loss: 1.7100 2022/08/01 15:44:53 - mmengine - INFO - Epoch(train) [41][320/940] lr: 6.0000e-03 eta: 8:14:24 time: 0.4597 data_time: 0.0344 memory: 13609 grad_norm: 2.3079 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7445 loss: 1.7445 2022/08/01 15:45:05 - mmengine - INFO - Epoch(train) [41][340/940] lr: 6.0000e-03 eta: 8:14:15 time: 0.6023 data_time: 0.0340 memory: 13609 grad_norm: 2.2635 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8013 loss: 1.8013 2022/08/01 15:45:15 - mmengine - INFO - Epoch(train) [41][360/940] lr: 6.0000e-03 eta: 8:14:03 time: 0.4736 data_time: 0.0359 memory: 13609 grad_norm: 2.3264 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7395 loss: 1.7395 2022/08/01 15:45:26 - mmengine - INFO - Epoch(train) [41][380/940] lr: 6.0000e-03 eta: 8:13:53 time: 0.5511 data_time: 0.0344 memory: 13609 grad_norm: 2.2913 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7935 loss: 1.7935 2022/08/01 15:45:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:45:35 - mmengine - INFO - Epoch(train) [41][400/940] lr: 6.0000e-03 eta: 8:13:41 time: 0.4661 data_time: 0.0352 memory: 13609 grad_norm: 2.3570 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6670 loss: 1.6670 2022/08/01 15:45:46 - mmengine - INFO - Epoch(train) [41][420/940] lr: 6.0000e-03 eta: 8:13:31 time: 0.5500 data_time: 0.0427 memory: 13609 grad_norm: 2.2885 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6520 loss: 1.6520 2022/08/01 15:45:57 - mmengine - INFO - Epoch(train) [41][440/940] lr: 6.0000e-03 eta: 8:13:20 time: 0.5228 data_time: 0.0424 memory: 13609 grad_norm: 2.3063 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.8150 loss: 1.8150 2022/08/01 15:46:08 - mmengine - INFO - Epoch(train) [41][460/940] lr: 6.0000e-03 eta: 8:13:10 time: 0.5562 data_time: 0.0347 memory: 13609 grad_norm: 2.2852 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.5892 loss: 1.5892 2022/08/01 15:46:17 - mmengine - INFO - Epoch(train) [41][480/940] lr: 6.0000e-03 eta: 8:12:58 time: 0.4678 data_time: 0.0466 memory: 13609 grad_norm: 2.3473 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7439 loss: 1.7439 2022/08/01 15:46:29 - mmengine - INFO - Epoch(train) [41][500/940] lr: 6.0000e-03 eta: 8:12:49 time: 0.5993 data_time: 0.0336 memory: 13609 grad_norm: 2.2876 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7034 loss: 1.7034 2022/08/01 15:46:39 - mmengine - INFO - Epoch(train) [41][520/940] lr: 6.0000e-03 eta: 8:12:37 time: 0.4716 data_time: 0.0372 memory: 13609 grad_norm: 2.3542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6589 loss: 1.6589 2022/08/01 15:46:50 - mmengine - INFO - Epoch(train) [41][540/940] lr: 6.0000e-03 eta: 8:12:28 time: 0.5685 data_time: 0.0471 memory: 13609 grad_norm: 2.3425 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.8229 loss: 1.8229 2022/08/01 15:46:59 - mmengine - INFO - Epoch(train) [41][560/940] lr: 6.0000e-03 eta: 8:12:15 time: 0.4569 data_time: 0.0358 memory: 13609 grad_norm: 2.3115 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6115 loss: 1.6115 2022/08/01 15:47:11 - mmengine - INFO - Epoch(train) [41][580/940] lr: 6.0000e-03 eta: 8:12:06 time: 0.5836 data_time: 0.0306 memory: 13609 grad_norm: 2.3333 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6158 loss: 1.6158 2022/08/01 15:47:21 - mmengine - INFO - Epoch(train) [41][600/940] lr: 6.0000e-03 eta: 8:11:54 time: 0.4982 data_time: 0.0364 memory: 13609 grad_norm: 2.3088 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5852 loss: 1.5852 2022/08/01 15:47:32 - mmengine - INFO - Epoch(train) [41][620/940] lr: 6.0000e-03 eta: 8:11:45 time: 0.5788 data_time: 0.0316 memory: 13609 grad_norm: 2.3242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8122 loss: 1.8122 2022/08/01 15:47:41 - mmengine - INFO - Epoch(train) [41][640/940] lr: 6.0000e-03 eta: 8:11:32 time: 0.4514 data_time: 0.0320 memory: 13609 grad_norm: 2.3435 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8290 loss: 1.8290 2022/08/01 15:47:53 - mmengine - INFO - Epoch(train) [41][660/940] lr: 6.0000e-03 eta: 8:11:23 time: 0.5829 data_time: 0.0368 memory: 13609 grad_norm: 2.3401 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6681 loss: 1.6681 2022/08/01 15:48:03 - mmengine - INFO - Epoch(train) [41][680/940] lr: 6.0000e-03 eta: 8:11:11 time: 0.4801 data_time: 0.0318 memory: 13609 grad_norm: 2.3396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7623 loss: 1.7623 2022/08/01 15:48:13 - mmengine - INFO - Epoch(train) [41][700/940] lr: 6.0000e-03 eta: 8:11:01 time: 0.5286 data_time: 0.0311 memory: 13609 grad_norm: 2.3243 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6360 loss: 1.6360 2022/08/01 15:48:24 - mmengine - INFO - Epoch(train) [41][720/940] lr: 6.0000e-03 eta: 8:10:50 time: 0.5297 data_time: 0.0389 memory: 13609 grad_norm: 2.3366 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.7923 loss: 1.7923 2022/08/01 15:48:34 - mmengine - INFO - Epoch(train) [41][740/940] lr: 6.0000e-03 eta: 8:10:39 time: 0.4965 data_time: 0.0352 memory: 13609 grad_norm: 2.3635 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8129 loss: 1.8129 2022/08/01 15:48:45 - mmengine - INFO - Epoch(train) [41][760/940] lr: 6.0000e-03 eta: 8:10:28 time: 0.5381 data_time: 0.0470 memory: 13609 grad_norm: 2.3537 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6865 loss: 1.6865 2022/08/01 15:48:55 - mmengine - INFO - Epoch(train) [41][780/940] lr: 6.0000e-03 eta: 8:10:18 time: 0.5306 data_time: 0.0306 memory: 13609 grad_norm: 2.3845 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.8149 loss: 1.8149 2022/08/01 15:49:05 - mmengine - INFO - Epoch(train) [41][800/940] lr: 6.0000e-03 eta: 8:10:07 time: 0.5065 data_time: 0.0501 memory: 13609 grad_norm: 2.3891 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6273 loss: 1.6273 2022/08/01 15:49:17 - mmengine - INFO - Epoch(train) [41][820/940] lr: 6.0000e-03 eta: 8:09:57 time: 0.5671 data_time: 0.0283 memory: 13609 grad_norm: 2.3673 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7729 loss: 1.7729 2022/08/01 15:49:27 - mmengine - INFO - Epoch(train) [41][840/940] lr: 6.0000e-03 eta: 8:09:46 time: 0.4949 data_time: 0.0404 memory: 13609 grad_norm: 2.3624 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6321 loss: 1.6321 2022/08/01 15:49:39 - mmengine - INFO - Epoch(train) [41][860/940] lr: 6.0000e-03 eta: 8:09:37 time: 0.5962 data_time: 0.0350 memory: 13609 grad_norm: 2.3654 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5834 loss: 1.5834 2022/08/01 15:49:48 - mmengine - INFO - Epoch(train) [41][880/940] lr: 6.0000e-03 eta: 8:09:25 time: 0.4753 data_time: 0.0432 memory: 13609 grad_norm: 2.3357 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6430 loss: 1.6430 2022/08/01 15:50:00 - mmengine - INFO - Epoch(train) [41][900/940] lr: 6.0000e-03 eta: 8:09:16 time: 0.5957 data_time: 0.0256 memory: 13609 grad_norm: 2.3496 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6690 loss: 1.6690 2022/08/01 15:50:10 - mmengine - INFO - Epoch(train) [41][920/940] lr: 6.0000e-03 eta: 8:09:04 time: 0.4816 data_time: 0.0317 memory: 13609 grad_norm: 2.3346 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 1.6571 loss: 1.6571 2022/08/01 15:50:19 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 15:50:19 - mmengine - INFO - Epoch(train) [41][940/940] lr: 6.0000e-03 eta: 8:08:51 time: 0.4497 data_time: 0.0302 memory: 13609 grad_norm: 2.4965 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5811 loss: 1.5811 2022/08/01 15:52:04 - mmengine - INFO - Epoch(val) [41][20/78] eta: 0:05:06 time: 5.2894 data_time: 4.5299 memory: 19674 2022/08/01 15:53:17 - mmengine - INFO - Epoch(val) [41][40/78] eta: 0:02:18 time: 3.6496 data_time: 2.8880 memory: 19674 2022/08/01 15:54:53 - mmengine - INFO - Epoch(val) [41][60/78] eta: 0:01:26 time: 4.7953 data_time: 4.0497 memory: 19674 2022/08/01 15:56:06 - mmengine - INFO - Epoch(val) [41][78/78] acc/top1: 0.6766 acc/top5: 0.8776 acc/mean1: 0.6765 2022/08/01 15:56:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_22.pth is removed 2022/08/01 15:56:07 - mmengine - INFO - The best checkpoint with 0.6766 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/08/01 15:56:21 - mmengine - INFO - Epoch(train) [42][20/940] lr: 6.0000e-03 eta: 8:08:46 time: 0.6930 data_time: 0.4084 memory: 19674 grad_norm: 2.3777 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5328 loss: 1.5328 2022/08/01 15:56:31 - mmengine - INFO - Epoch(train) [42][40/940] lr: 6.0000e-03 eta: 8:08:33 time: 0.4758 data_time: 0.2007 memory: 13609 grad_norm: 2.3596 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7591 loss: 1.7591 2022/08/01 15:56:42 - mmengine - INFO - Epoch(train) [42][60/940] lr: 6.0000e-03 eta: 8:08:24 time: 0.5689 data_time: 0.2707 memory: 13609 grad_norm: 2.3459 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6896 loss: 1.6896 2022/08/01 15:56:52 - mmengine - INFO - Epoch(train) [42][80/940] lr: 6.0000e-03 eta: 8:08:13 time: 0.5057 data_time: 0.2235 memory: 13609 grad_norm: 2.3519 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8242 loss: 1.8242 2022/08/01 15:57:04 - mmengine - INFO - Epoch(train) [42][100/940] lr: 6.0000e-03 eta: 8:08:04 time: 0.6010 data_time: 0.2681 memory: 13609 grad_norm: 2.3212 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6542 loss: 1.6542 2022/08/01 15:57:14 - mmengine - INFO - Epoch(train) [42][120/940] lr: 6.0000e-03 eta: 8:07:53 time: 0.4906 data_time: 0.1629 memory: 13609 grad_norm: 2.3951 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6513 loss: 1.6513 2022/08/01 15:57:24 - mmengine - INFO - Epoch(train) [42][140/940] lr: 6.0000e-03 eta: 8:07:42 time: 0.5106 data_time: 0.2095 memory: 13609 grad_norm: 2.3866 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5775 loss: 1.5775 2022/08/01 15:57:34 - mmengine - INFO - Epoch(train) [42][160/940] lr: 6.0000e-03 eta: 8:07:30 time: 0.5091 data_time: 0.1944 memory: 13609 grad_norm: 2.3530 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7374 loss: 1.7374 2022/08/01 15:57:46 - mmengine - INFO - Epoch(train) [42][180/940] lr: 6.0000e-03 eta: 8:07:21 time: 0.5753 data_time: 0.2717 memory: 13609 grad_norm: 2.3890 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.7331 loss: 1.7331 2022/08/01 15:57:56 - mmengine - INFO - Epoch(train) [42][200/940] lr: 6.0000e-03 eta: 8:07:10 time: 0.5002 data_time: 0.1992 memory: 13609 grad_norm: 2.3284 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5802 loss: 1.5802 2022/08/01 15:58:08 - mmengine - INFO - Epoch(train) [42][220/940] lr: 6.0000e-03 eta: 8:07:01 time: 0.5878 data_time: 0.2502 memory: 13609 grad_norm: 2.3264 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.7778 loss: 1.7778 2022/08/01 15:58:17 - mmengine - INFO - Epoch(train) [42][240/940] lr: 6.0000e-03 eta: 8:06:48 time: 0.4498 data_time: 0.1510 memory: 13609 grad_norm: 2.3592 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5717 loss: 1.5717 2022/08/01 15:58:29 - mmengine - INFO - Epoch(train) [42][260/940] lr: 6.0000e-03 eta: 8:06:40 time: 0.6094 data_time: 0.2917 memory: 13609 grad_norm: 2.3590 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6184 loss: 1.6184 2022/08/01 15:58:38 - mmengine - INFO - Epoch(train) [42][280/940] lr: 6.0000e-03 eta: 8:06:27 time: 0.4704 data_time: 0.1690 memory: 13609 grad_norm: 2.3554 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.7225 loss: 1.7225 2022/08/01 15:58:49 - mmengine - INFO - Epoch(train) [42][300/940] lr: 6.0000e-03 eta: 8:06:17 time: 0.5247 data_time: 0.2008 memory: 13609 grad_norm: 2.3684 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6662 loss: 1.6662 2022/08/01 15:58:58 - mmengine - INFO - Epoch(train) [42][320/940] lr: 6.0000e-03 eta: 8:06:04 time: 0.4405 data_time: 0.1417 memory: 13609 grad_norm: 2.3691 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5603 loss: 1.5603 2022/08/01 15:59:09 - mmengine - INFO - Epoch(train) [42][340/940] lr: 6.0000e-03 eta: 8:05:54 time: 0.5766 data_time: 0.2517 memory: 13609 grad_norm: 2.3352 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6545 loss: 1.6545 2022/08/01 15:59:20 - mmengine - INFO - Epoch(train) [42][360/940] lr: 6.0000e-03 eta: 8:05:44 time: 0.5320 data_time: 0.2254 memory: 13609 grad_norm: 2.3993 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7204 loss: 1.7204 2022/08/01 15:59:31 - mmengine - INFO - Epoch(train) [42][380/940] lr: 6.0000e-03 eta: 8:05:34 time: 0.5479 data_time: 0.2122 memory: 13609 grad_norm: 2.4128 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.6442 loss: 1.6442 2022/08/01 15:59:41 - mmengine - INFO - Epoch(train) [42][400/940] lr: 6.0000e-03 eta: 8:05:23 time: 0.5127 data_time: 0.1517 memory: 13609 grad_norm: 2.3828 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6588 loss: 1.6588 2022/08/01 15:59:51 - mmengine - INFO - Epoch(train) [42][420/940] lr: 6.0000e-03 eta: 8:05:11 time: 0.4868 data_time: 0.0794 memory: 13609 grad_norm: 2.4019 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6916 loss: 1.6916 2022/08/01 16:00:02 - mmengine - INFO - Epoch(train) [42][440/940] lr: 6.0000e-03 eta: 8:05:02 time: 0.5670 data_time: 0.0395 memory: 13609 grad_norm: 2.4221 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5513 loss: 1.5513 2022/08/01 16:00:13 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:00:13 - mmengine - INFO - Epoch(train) [42][460/940] lr: 6.0000e-03 eta: 8:04:51 time: 0.5437 data_time: 0.0406 memory: 13609 grad_norm: 2.3710 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6277 loss: 1.6277 2022/08/01 16:00:23 - mmengine - INFO - Epoch(train) [42][480/940] lr: 6.0000e-03 eta: 8:04:40 time: 0.4972 data_time: 0.0381 memory: 13609 grad_norm: 2.3923 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5044 loss: 1.5044 2022/08/01 16:00:34 - mmengine - INFO - Epoch(train) [42][500/940] lr: 6.0000e-03 eta: 8:04:30 time: 0.5686 data_time: 0.0375 memory: 13609 grad_norm: 2.3942 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/08/01 16:00:45 - mmengine - INFO - Epoch(train) [42][520/940] lr: 6.0000e-03 eta: 8:04:20 time: 0.5277 data_time: 0.0926 memory: 13609 grad_norm: 2.3774 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.6402 loss: 1.6402 2022/08/01 16:00:55 - mmengine - INFO - Epoch(train) [42][540/940] lr: 6.0000e-03 eta: 8:04:09 time: 0.5337 data_time: 0.1947 memory: 13609 grad_norm: 2.4345 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.6574 loss: 1.6574 2022/08/01 16:01:07 - mmengine - INFO - Epoch(train) [42][560/940] lr: 6.0000e-03 eta: 8:04:00 time: 0.5647 data_time: 0.2571 memory: 13609 grad_norm: 2.3888 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.7297 loss: 1.7297 2022/08/01 16:01:16 - mmengine - INFO - Epoch(train) [42][580/940] lr: 6.0000e-03 eta: 8:03:47 time: 0.4618 data_time: 0.1654 memory: 13609 grad_norm: 2.4287 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6235 loss: 1.6235 2022/08/01 16:01:27 - mmengine - INFO - Epoch(train) [42][600/940] lr: 6.0000e-03 eta: 8:03:38 time: 0.5600 data_time: 0.2520 memory: 13609 grad_norm: 2.4120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7106 loss: 1.7106 2022/08/01 16:01:37 - mmengine - INFO - Epoch(train) [42][620/940] lr: 6.0000e-03 eta: 8:03:25 time: 0.4657 data_time: 0.1522 memory: 13609 grad_norm: 2.4379 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.7636 loss: 1.7636 2022/08/01 16:01:48 - mmengine - INFO - Epoch(train) [42][640/940] lr: 6.0000e-03 eta: 8:03:16 time: 0.5789 data_time: 0.2621 memory: 13609 grad_norm: 2.4567 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7130 loss: 1.7130 2022/08/01 16:01:57 - mmengine - INFO - Epoch(train) [42][660/940] lr: 6.0000e-03 eta: 8:03:04 time: 0.4636 data_time: 0.1606 memory: 13609 grad_norm: 2.3859 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6692 loss: 1.6692 2022/08/01 16:02:09 - mmengine - INFO - Epoch(train) [42][680/940] lr: 6.0000e-03 eta: 8:02:55 time: 0.5918 data_time: 0.2639 memory: 13609 grad_norm: 2.4442 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.6943 loss: 1.6943 2022/08/01 16:02:19 - mmengine - INFO - Epoch(train) [42][700/940] lr: 6.0000e-03 eta: 8:02:43 time: 0.4881 data_time: 0.1821 memory: 13609 grad_norm: 2.4754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7213 loss: 1.7213 2022/08/01 16:02:30 - mmengine - INFO - Epoch(train) [42][720/940] lr: 6.0000e-03 eta: 8:02:33 time: 0.5479 data_time: 0.2493 memory: 13609 grad_norm: 2.4268 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.5544 loss: 1.5544 2022/08/01 16:02:40 - mmengine - INFO - Epoch(train) [42][740/940] lr: 6.0000e-03 eta: 8:02:21 time: 0.4906 data_time: 0.1546 memory: 13609 grad_norm: 2.4493 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/08/01 16:02:51 - mmengine - INFO - Epoch(train) [42][760/940] lr: 6.0000e-03 eta: 8:02:12 time: 0.5651 data_time: 0.2642 memory: 13609 grad_norm: 2.4355 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5660 loss: 1.5660 2022/08/01 16:03:00 - mmengine - INFO - Epoch(train) [42][780/940] lr: 6.0000e-03 eta: 8:01:59 time: 0.4594 data_time: 0.1191 memory: 13609 grad_norm: 2.4091 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6280 loss: 1.6280 2022/08/01 16:03:11 - mmengine - INFO - Epoch(train) [42][800/940] lr: 6.0000e-03 eta: 8:01:49 time: 0.5354 data_time: 0.1509 memory: 13609 grad_norm: 2.4194 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6993 loss: 1.6993 2022/08/01 16:03:22 - mmengine - INFO - Epoch(train) [42][820/940] lr: 6.0000e-03 eta: 8:01:40 time: 0.5697 data_time: 0.0573 memory: 13609 grad_norm: 2.4117 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6475 loss: 1.6475 2022/08/01 16:03:33 - mmengine - INFO - Epoch(train) [42][840/940] lr: 6.0000e-03 eta: 8:01:29 time: 0.5399 data_time: 0.0580 memory: 13609 grad_norm: 2.4639 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7366 loss: 1.7366 2022/08/01 16:03:44 - mmengine - INFO - Epoch(train) [42][860/940] lr: 6.0000e-03 eta: 8:01:19 time: 0.5351 data_time: 0.0488 memory: 13609 grad_norm: 2.4947 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7731 loss: 1.7731 2022/08/01 16:03:56 - mmengine - INFO - Epoch(train) [42][880/940] lr: 6.0000e-03 eta: 8:01:10 time: 0.5976 data_time: 0.0374 memory: 13609 grad_norm: 2.4538 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6473 loss: 1.6473 2022/08/01 16:04:04 - mmengine - INFO - Epoch(train) [42][900/940] lr: 6.0000e-03 eta: 8:00:56 time: 0.4070 data_time: 0.0300 memory: 13609 grad_norm: 2.4146 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5893 loss: 1.5893 2022/08/01 16:04:14 - mmengine - INFO - Epoch(train) [42][920/940] lr: 6.0000e-03 eta: 8:00:45 time: 0.4981 data_time: 0.0354 memory: 13609 grad_norm: 2.4115 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6273 loss: 1.6273 2022/08/01 16:04:23 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:04:23 - mmengine - INFO - Epoch(train) [42][940/940] lr: 6.0000e-03 eta: 8:00:32 time: 0.4614 data_time: 0.0266 memory: 13609 grad_norm: 2.6103 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.7237 loss: 1.7237 2022/08/01 16:04:23 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/01 16:06:13 - mmengine - INFO - Epoch(val) [42][20/78] eta: 0:05:07 time: 5.3054 data_time: 4.5631 memory: 19674 2022/08/01 16:07:24 - mmengine - INFO - Epoch(val) [42][40/78] eta: 0:02:15 time: 3.5691 data_time: 2.8339 memory: 19674 2022/08/01 16:09:00 - mmengine - INFO - Epoch(val) [42][60/78] eta: 0:01:26 time: 4.7881 data_time: 4.0494 memory: 19674 2022/08/01 16:10:10 - mmengine - INFO - Epoch(val) [42][78/78] acc/top1: 0.6831 acc/top5: 0.8820 acc/mean1: 0.6830 2022/08/01 16:10:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_42.pth is removed 2022/08/01 16:10:11 - mmengine - INFO - The best checkpoint with 0.6831 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/08/01 16:10:25 - mmengine - INFO - Epoch(train) [43][20/940] lr: 6.0000e-03 eta: 8:00:26 time: 0.6965 data_time: 0.4077 memory: 19674 grad_norm: 2.4377 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7035 loss: 1.7035 2022/08/01 16:10:35 - mmengine - INFO - Epoch(train) [43][40/940] lr: 6.0000e-03 eta: 8:00:14 time: 0.4717 data_time: 0.1879 memory: 13609 grad_norm: 2.3943 top1_acc: 0.6562 top5_acc: 0.6875 loss_cls: 1.5571 loss: 1.5571 2022/08/01 16:10:47 - mmengine - INFO - Epoch(train) [43][60/940] lr: 6.0000e-03 eta: 8:00:06 time: 0.6029 data_time: 0.2565 memory: 13609 grad_norm: 2.4018 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/08/01 16:10:55 - mmengine - INFO - Epoch(train) [43][80/940] lr: 6.0000e-03 eta: 7:59:52 time: 0.4305 data_time: 0.1315 memory: 13609 grad_norm: 2.4427 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5353 loss: 1.5353 2022/08/01 16:11:07 - mmengine - INFO - Epoch(train) [43][100/940] lr: 6.0000e-03 eta: 7:59:43 time: 0.5630 data_time: 0.2183 memory: 13609 grad_norm: 2.4399 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6659 loss: 1.6659 2022/08/01 16:11:17 - mmengine - INFO - Epoch(train) [43][120/940] lr: 6.0000e-03 eta: 7:59:31 time: 0.4996 data_time: 0.2042 memory: 13609 grad_norm: 2.4381 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5465 loss: 1.5465 2022/08/01 16:11:28 - mmengine - INFO - Epoch(train) [43][140/940] lr: 6.0000e-03 eta: 7:59:22 time: 0.5532 data_time: 0.2311 memory: 13609 grad_norm: 2.4578 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7220 loss: 1.7220 2022/08/01 16:11:38 - mmengine - INFO - Epoch(train) [43][160/940] lr: 6.0000e-03 eta: 7:59:10 time: 0.4969 data_time: 0.1334 memory: 13609 grad_norm: 2.4705 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8227 loss: 1.8227 2022/08/01 16:11:49 - mmengine - INFO - Epoch(train) [43][180/940] lr: 6.0000e-03 eta: 7:59:00 time: 0.5608 data_time: 0.2111 memory: 13609 grad_norm: 2.4336 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6087 loss: 1.6087 2022/08/01 16:11:59 - mmengine - INFO - Epoch(train) [43][200/940] lr: 6.0000e-03 eta: 7:58:50 time: 0.5189 data_time: 0.1725 memory: 13609 grad_norm: 2.4722 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6060 loss: 1.6060 2022/08/01 16:12:11 - mmengine - INFO - Epoch(train) [43][220/940] lr: 6.0000e-03 eta: 7:58:40 time: 0.5574 data_time: 0.1708 memory: 13609 grad_norm: 2.3812 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5239 loss: 1.5239 2022/08/01 16:12:20 - mmengine - INFO - Epoch(train) [43][240/940] lr: 6.0000e-03 eta: 7:58:27 time: 0.4657 data_time: 0.1471 memory: 13609 grad_norm: 2.4639 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/08/01 16:12:32 - mmengine - INFO - Epoch(train) [43][260/940] lr: 6.0000e-03 eta: 7:58:19 time: 0.5914 data_time: 0.2574 memory: 13609 grad_norm: 2.4469 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7844 loss: 1.7844 2022/08/01 16:12:41 - mmengine - INFO - Epoch(train) [43][280/940] lr: 6.0000e-03 eta: 7:58:06 time: 0.4754 data_time: 0.1558 memory: 13609 grad_norm: 2.4081 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5544 loss: 1.5544 2022/08/01 16:12:53 - mmengine - INFO - Epoch(train) [43][300/940] lr: 6.0000e-03 eta: 7:57:57 time: 0.5804 data_time: 0.2521 memory: 13609 grad_norm: 2.4590 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6037 loss: 1.6037 2022/08/01 16:13:02 - mmengine - INFO - Epoch(train) [43][320/940] lr: 6.0000e-03 eta: 7:57:46 time: 0.4843 data_time: 0.1857 memory: 13609 grad_norm: 2.4435 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5515 loss: 1.5515 2022/08/01 16:13:14 - mmengine - INFO - Epoch(train) [43][340/940] lr: 6.0000e-03 eta: 7:57:36 time: 0.5647 data_time: 0.2388 memory: 13609 grad_norm: 2.4757 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6538 loss: 1.6538 2022/08/01 16:13:24 - mmengine - INFO - Epoch(train) [43][360/940] lr: 6.0000e-03 eta: 7:57:24 time: 0.4871 data_time: 0.1848 memory: 13609 grad_norm: 2.4297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5409 loss: 1.5409 2022/08/01 16:13:35 - mmengine - INFO - Epoch(train) [43][380/940] lr: 6.0000e-03 eta: 7:57:15 time: 0.5748 data_time: 0.2479 memory: 13609 grad_norm: 2.4788 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5985 loss: 1.5985 2022/08/01 16:13:45 - mmengine - INFO - Epoch(train) [43][400/940] lr: 6.0000e-03 eta: 7:57:03 time: 0.4820 data_time: 0.1706 memory: 13609 grad_norm: 2.4722 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6296 loss: 1.6296 2022/08/01 16:13:55 - mmengine - INFO - Epoch(train) [43][420/940] lr: 6.0000e-03 eta: 7:56:52 time: 0.5307 data_time: 0.2233 memory: 13609 grad_norm: 2.5053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/08/01 16:14:05 - mmengine - INFO - Epoch(train) [43][440/940] lr: 6.0000e-03 eta: 7:56:40 time: 0.4642 data_time: 0.1617 memory: 13609 grad_norm: 2.4126 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5209 loss: 1.5209 2022/08/01 16:14:16 - mmengine - INFO - Epoch(train) [43][460/940] lr: 6.0000e-03 eta: 7:56:30 time: 0.5556 data_time: 0.2031 memory: 13609 grad_norm: 2.4701 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7085 loss: 1.7085 2022/08/01 16:14:26 - mmengine - INFO - Epoch(train) [43][480/940] lr: 6.0000e-03 eta: 7:56:20 time: 0.5224 data_time: 0.0924 memory: 13609 grad_norm: 2.5006 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7091 loss: 1.7091 2022/08/01 16:14:37 - mmengine - INFO - Epoch(train) [43][500/940] lr: 6.0000e-03 eta: 7:56:09 time: 0.5207 data_time: 0.0799 memory: 13609 grad_norm: 2.4649 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6083 loss: 1.6083 2022/08/01 16:14:49 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:14:49 - mmengine - INFO - Epoch(train) [43][520/940] lr: 6.0000e-03 eta: 7:56:00 time: 0.5985 data_time: 0.0359 memory: 13609 grad_norm: 2.4869 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5229 loss: 1.5229 2022/08/01 16:14:59 - mmengine - INFO - Epoch(train) [43][540/940] lr: 6.0000e-03 eta: 7:55:49 time: 0.5163 data_time: 0.0350 memory: 13609 grad_norm: 2.4623 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.5717 loss: 1.5717 2022/08/01 16:15:10 - mmengine - INFO - Epoch(train) [43][560/940] lr: 6.0000e-03 eta: 7:55:39 time: 0.5598 data_time: 0.0269 memory: 13609 grad_norm: 2.4788 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.6308 loss: 1.6308 2022/08/01 16:15:20 - mmengine - INFO - Epoch(train) [43][580/940] lr: 6.0000e-03 eta: 7:55:28 time: 0.4885 data_time: 0.0424 memory: 13609 grad_norm: 2.5021 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7887 loss: 1.7887 2022/08/01 16:15:32 - mmengine - INFO - Epoch(train) [43][600/940] lr: 6.0000e-03 eta: 7:55:19 time: 0.5839 data_time: 0.0344 memory: 13609 grad_norm: 2.5160 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5450 loss: 1.5450 2022/08/01 16:15:41 - mmengine - INFO - Epoch(train) [43][620/940] lr: 6.0000e-03 eta: 7:55:06 time: 0.4644 data_time: 0.0361 memory: 13609 grad_norm: 2.4952 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6847 loss: 1.6847 2022/08/01 16:15:51 - mmengine - INFO - Epoch(train) [43][640/940] lr: 6.0000e-03 eta: 7:54:55 time: 0.4969 data_time: 0.0286 memory: 13609 grad_norm: 2.4586 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5890 loss: 1.5890 2022/08/01 16:16:01 - mmengine - INFO - Epoch(train) [43][660/940] lr: 6.0000e-03 eta: 7:54:43 time: 0.4908 data_time: 0.0417 memory: 13609 grad_norm: 2.4933 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5880 loss: 1.5880 2022/08/01 16:16:13 - mmengine - INFO - Epoch(train) [43][680/940] lr: 6.0000e-03 eta: 7:54:35 time: 0.6124 data_time: 0.0299 memory: 13609 grad_norm: 2.5432 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.6990 loss: 1.6990 2022/08/01 16:16:23 - mmengine - INFO - Epoch(train) [43][700/940] lr: 6.0000e-03 eta: 7:54:24 time: 0.4973 data_time: 0.0353 memory: 13609 grad_norm: 2.5025 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5679 loss: 1.5679 2022/08/01 16:16:34 - mmengine - INFO - Epoch(train) [43][720/940] lr: 6.0000e-03 eta: 7:54:14 time: 0.5502 data_time: 0.0309 memory: 13609 grad_norm: 2.4466 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5190 loss: 1.5190 2022/08/01 16:16:44 - mmengine - INFO - Epoch(train) [43][740/940] lr: 6.0000e-03 eta: 7:54:02 time: 0.5060 data_time: 0.0397 memory: 13609 grad_norm: 2.5033 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6127 loss: 1.6127 2022/08/01 16:16:54 - mmengine - INFO - Epoch(train) [43][760/940] lr: 6.0000e-03 eta: 7:53:51 time: 0.5189 data_time: 0.0361 memory: 13609 grad_norm: 2.4926 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6819 loss: 1.6819 2022/08/01 16:17:05 - mmengine - INFO - Epoch(train) [43][780/940] lr: 6.0000e-03 eta: 7:53:41 time: 0.5136 data_time: 0.0400 memory: 13609 grad_norm: 2.4975 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5902 loss: 1.5902 2022/08/01 16:17:16 - mmengine - INFO - Epoch(train) [43][800/940] lr: 6.0000e-03 eta: 7:53:31 time: 0.5831 data_time: 0.0385 memory: 13609 grad_norm: 2.4502 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/08/01 16:17:26 - mmengine - INFO - Epoch(train) [43][820/940] lr: 6.0000e-03 eta: 7:53:20 time: 0.4809 data_time: 0.0399 memory: 13609 grad_norm: 2.5215 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.6693 loss: 1.6693 2022/08/01 16:17:36 - mmengine - INFO - Epoch(train) [43][840/940] lr: 6.0000e-03 eta: 7:53:09 time: 0.5249 data_time: 0.0338 memory: 13609 grad_norm: 2.4596 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5764 loss: 1.5764 2022/08/01 16:17:47 - mmengine - INFO - Epoch(train) [43][860/940] lr: 6.0000e-03 eta: 7:52:58 time: 0.5215 data_time: 0.0427 memory: 13609 grad_norm: 2.4963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6184 loss: 1.6184 2022/08/01 16:17:58 - mmengine - INFO - Epoch(train) [43][880/940] lr: 6.0000e-03 eta: 7:52:49 time: 0.5760 data_time: 0.0338 memory: 13609 grad_norm: 2.5051 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6351 loss: 1.6351 2022/08/01 16:18:08 - mmengine - INFO - Epoch(train) [43][900/940] lr: 6.0000e-03 eta: 7:52:36 time: 0.4641 data_time: 0.0331 memory: 13609 grad_norm: 2.5148 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5828 loss: 1.5828 2022/08/01 16:18:18 - mmengine - INFO - Epoch(train) [43][920/940] lr: 6.0000e-03 eta: 7:52:26 time: 0.5374 data_time: 0.0447 memory: 13609 grad_norm: 2.5260 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6994 loss: 1.6994 2022/08/01 16:18:26 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:18:26 - mmengine - INFO - Epoch(train) [43][940/940] lr: 6.0000e-03 eta: 7:52:12 time: 0.4016 data_time: 0.0312 memory: 13609 grad_norm: 2.6234 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.5866 loss: 1.5866 2022/08/01 16:20:11 - mmengine - INFO - Epoch(val) [43][20/78] eta: 0:05:03 time: 5.2308 data_time: 4.4697 memory: 19674 2022/08/01 16:21:24 - mmengine - INFO - Epoch(val) [43][40/78] eta: 0:02:18 time: 3.6451 data_time: 2.8898 memory: 19674 2022/08/01 16:23:01 - mmengine - INFO - Epoch(val) [43][60/78] eta: 0:01:27 time: 4.8447 data_time: 4.0981 memory: 19674 2022/08/01 16:24:13 - mmengine - INFO - Epoch(val) [43][78/78] acc/top1: 0.6873 acc/top5: 0.8860 acc/mean1: 0.6872 2022/08/01 16:24:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_43.pth is removed 2022/08/01 16:24:15 - mmengine - INFO - The best checkpoint with 0.6873 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/08/01 16:24:28 - mmengine - INFO - Epoch(train) [44][20/940] lr: 6.0000e-03 eta: 7:52:05 time: 0.6628 data_time: 0.3452 memory: 19674 grad_norm: 2.5119 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5674 loss: 1.5674 2022/08/01 16:24:39 - mmengine - INFO - Epoch(train) [44][40/940] lr: 6.0000e-03 eta: 7:51:55 time: 0.5330 data_time: 0.2232 memory: 13609 grad_norm: 2.5122 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4142 loss: 1.4142 2022/08/01 16:24:50 - mmengine - INFO - Epoch(train) [44][60/940] lr: 6.0000e-03 eta: 7:51:45 time: 0.5750 data_time: 0.2918 memory: 13609 grad_norm: 2.4958 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4490 loss: 1.4490 2022/08/01 16:24:59 - mmengine - INFO - Epoch(train) [44][80/940] lr: 6.0000e-03 eta: 7:51:33 time: 0.4476 data_time: 0.1479 memory: 13609 grad_norm: 2.5299 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.5927 loss: 1.5927 2022/08/01 16:25:11 - mmengine - INFO - Epoch(train) [44][100/940] lr: 6.0000e-03 eta: 7:51:24 time: 0.5910 data_time: 0.2996 memory: 13609 grad_norm: 2.4414 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4191 loss: 1.4191 2022/08/01 16:25:21 - mmengine - INFO - Epoch(train) [44][120/940] lr: 6.0000e-03 eta: 7:51:12 time: 0.4797 data_time: 0.1787 memory: 13609 grad_norm: 2.5544 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6101 loss: 1.6101 2022/08/01 16:25:32 - mmengine - INFO - Epoch(train) [44][140/940] lr: 6.0000e-03 eta: 7:51:02 time: 0.5594 data_time: 0.2593 memory: 13609 grad_norm: 2.4996 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.4774 loss: 1.4774 2022/08/01 16:25:41 - mmengine - INFO - Epoch(train) [44][160/940] lr: 6.0000e-03 eta: 7:50:50 time: 0.4735 data_time: 0.1588 memory: 13609 grad_norm: 2.4791 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4904 loss: 1.4904 2022/08/01 16:25:53 - mmengine - INFO - Epoch(train) [44][180/940] lr: 6.0000e-03 eta: 7:50:41 time: 0.5830 data_time: 0.2763 memory: 13609 grad_norm: 2.5383 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.6460 loss: 1.6460 2022/08/01 16:26:02 - mmengine - INFO - Epoch(train) [44][200/940] lr: 6.0000e-03 eta: 7:50:28 time: 0.4610 data_time: 0.1550 memory: 13609 grad_norm: 2.4463 top1_acc: 0.3438 top5_acc: 0.8125 loss_cls: 1.5436 loss: 1.5436 2022/08/01 16:26:13 - mmengine - INFO - Epoch(train) [44][220/940] lr: 6.0000e-03 eta: 7:50:18 time: 0.5346 data_time: 0.2412 memory: 13609 grad_norm: 2.4700 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5184 loss: 1.5184 2022/08/01 16:26:24 - mmengine - INFO - Epoch(train) [44][240/940] lr: 6.0000e-03 eta: 7:50:08 time: 0.5410 data_time: 0.2314 memory: 13609 grad_norm: 2.5095 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5438 loss: 1.5438 2022/08/01 16:26:34 - mmengine - INFO - Epoch(train) [44][260/940] lr: 6.0000e-03 eta: 7:49:57 time: 0.5234 data_time: 0.2266 memory: 13609 grad_norm: 2.4695 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4308 loss: 1.4308 2022/08/01 16:26:45 - mmengine - INFO - Epoch(train) [44][280/940] lr: 6.0000e-03 eta: 7:49:46 time: 0.5304 data_time: 0.1890 memory: 13609 grad_norm: 2.5082 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5433 loss: 1.5433 2022/08/01 16:26:55 - mmengine - INFO - Epoch(train) [44][300/940] lr: 6.0000e-03 eta: 7:49:35 time: 0.5084 data_time: 0.1476 memory: 13609 grad_norm: 2.5346 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5797 loss: 1.5797 2022/08/01 16:27:05 - mmengine - INFO - Epoch(train) [44][320/940] lr: 6.0000e-03 eta: 7:49:24 time: 0.5044 data_time: 0.1303 memory: 13609 grad_norm: 2.5439 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6488 loss: 1.6488 2022/08/01 16:27:16 - mmengine - INFO - Epoch(train) [44][340/940] lr: 6.0000e-03 eta: 7:49:14 time: 0.5438 data_time: 0.0931 memory: 13609 grad_norm: 2.5456 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6722 loss: 1.6722 2022/08/01 16:27:27 - mmengine - INFO - Epoch(train) [44][360/940] lr: 6.0000e-03 eta: 7:49:05 time: 0.5721 data_time: 0.0462 memory: 13609 grad_norm: 2.4811 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5100 loss: 1.5100 2022/08/01 16:27:37 - mmengine - INFO - Epoch(train) [44][380/940] lr: 6.0000e-03 eta: 7:48:53 time: 0.4768 data_time: 0.0831 memory: 13609 grad_norm: 2.5446 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5873 loss: 1.5873 2022/08/01 16:27:47 - mmengine - INFO - Epoch(train) [44][400/940] lr: 6.0000e-03 eta: 7:48:42 time: 0.5134 data_time: 0.1692 memory: 13609 grad_norm: 2.5487 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5934 loss: 1.5934 2022/08/01 16:27:58 - mmengine - INFO - Epoch(train) [44][420/940] lr: 6.0000e-03 eta: 7:48:32 time: 0.5473 data_time: 0.2077 memory: 13609 grad_norm: 2.5783 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/08/01 16:28:08 - mmengine - INFO - Epoch(train) [44][440/940] lr: 6.0000e-03 eta: 7:48:21 time: 0.5192 data_time: 0.1075 memory: 13609 grad_norm: 2.5239 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6419 loss: 1.6419 2022/08/01 16:28:19 - mmengine - INFO - Epoch(train) [44][460/940] lr: 6.0000e-03 eta: 7:48:10 time: 0.5188 data_time: 0.1461 memory: 13609 grad_norm: 2.5326 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6821 loss: 1.6821 2022/08/01 16:28:29 - mmengine - INFO - Epoch(train) [44][480/940] lr: 6.0000e-03 eta: 7:47:59 time: 0.5061 data_time: 0.1692 memory: 13609 grad_norm: 2.5170 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.4952 loss: 1.4952 2022/08/01 16:28:40 - mmengine - INFO - Epoch(train) [44][500/940] lr: 6.0000e-03 eta: 7:47:49 time: 0.5551 data_time: 0.2257 memory: 13609 grad_norm: 2.5360 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5898 loss: 1.5898 2022/08/01 16:28:50 - mmengine - INFO - Epoch(train) [44][520/940] lr: 6.0000e-03 eta: 7:47:38 time: 0.5160 data_time: 0.1905 memory: 13609 grad_norm: 2.5275 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5428 loss: 1.5428 2022/08/01 16:29:02 - mmengine - INFO - Epoch(train) [44][540/940] lr: 6.0000e-03 eta: 7:47:28 time: 0.5669 data_time: 0.1184 memory: 13609 grad_norm: 2.5336 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5610 loss: 1.5610 2022/08/01 16:29:11 - mmengine - INFO - Epoch(train) [44][560/940] lr: 6.0000e-03 eta: 7:47:16 time: 0.4462 data_time: 0.0294 memory: 13609 grad_norm: 2.5700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/08/01 16:29:22 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:29:22 - mmengine - INFO - Epoch(train) [44][580/940] lr: 6.0000e-03 eta: 7:47:06 time: 0.5639 data_time: 0.0459 memory: 13609 grad_norm: 2.5310 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6364 loss: 1.6364 2022/08/01 16:29:32 - mmengine - INFO - Epoch(train) [44][600/940] lr: 6.0000e-03 eta: 7:46:55 time: 0.5081 data_time: 0.0317 memory: 13609 grad_norm: 2.6007 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5738 loss: 1.5738 2022/08/01 16:29:42 - mmengine - INFO - Epoch(train) [44][620/940] lr: 6.0000e-03 eta: 7:46:43 time: 0.4967 data_time: 0.0439 memory: 13609 grad_norm: 2.5776 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6620 loss: 1.6620 2022/08/01 16:29:53 - mmengine - INFO - Epoch(train) [44][640/940] lr: 6.0000e-03 eta: 7:46:33 time: 0.5397 data_time: 0.0396 memory: 13609 grad_norm: 2.5508 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/08/01 16:30:04 - mmengine - INFO - Epoch(train) [44][660/940] lr: 6.0000e-03 eta: 7:46:23 time: 0.5358 data_time: 0.0412 memory: 13609 grad_norm: 2.5369 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5172 loss: 1.5172 2022/08/01 16:30:14 - mmengine - INFO - Epoch(train) [44][680/940] lr: 6.0000e-03 eta: 7:46:12 time: 0.5332 data_time: 0.0366 memory: 13609 grad_norm: 2.5281 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6759 loss: 1.6759 2022/08/01 16:30:26 - mmengine - INFO - Epoch(train) [44][700/940] lr: 6.0000e-03 eta: 7:46:03 time: 0.5785 data_time: 0.0412 memory: 13609 grad_norm: 2.5353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4528 loss: 1.4528 2022/08/01 16:30:36 - mmengine - INFO - Epoch(train) [44][720/940] lr: 6.0000e-03 eta: 7:45:51 time: 0.4935 data_time: 0.0396 memory: 13609 grad_norm: 2.5771 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.6639 loss: 1.6639 2022/08/01 16:30:47 - mmengine - INFO - Epoch(train) [44][740/940] lr: 6.0000e-03 eta: 7:45:42 time: 0.5722 data_time: 0.0451 memory: 13609 grad_norm: 2.5345 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4593 loss: 1.4593 2022/08/01 16:30:57 - mmengine - INFO - Epoch(train) [44][760/940] lr: 6.0000e-03 eta: 7:45:31 time: 0.5039 data_time: 0.0381 memory: 13609 grad_norm: 2.6084 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5283 loss: 1.5283 2022/08/01 16:31:09 - mmengine - INFO - Epoch(train) [44][780/940] lr: 6.0000e-03 eta: 7:45:21 time: 0.5668 data_time: 0.0391 memory: 13609 grad_norm: 2.5857 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4946 loss: 1.4946 2022/08/01 16:31:19 - mmengine - INFO - Epoch(train) [44][800/940] lr: 6.0000e-03 eta: 7:45:10 time: 0.5115 data_time: 0.0397 memory: 13609 grad_norm: 2.5561 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6254 loss: 1.6254 2022/08/01 16:31:30 - mmengine - INFO - Epoch(train) [44][820/940] lr: 6.0000e-03 eta: 7:45:01 time: 0.5799 data_time: 0.0327 memory: 13609 grad_norm: 2.5780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6913 loss: 1.6913 2022/08/01 16:31:39 - mmengine - INFO - Epoch(train) [44][840/940] lr: 6.0000e-03 eta: 7:44:48 time: 0.4364 data_time: 0.0376 memory: 13609 grad_norm: 2.5611 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4520 loss: 1.4520 2022/08/01 16:31:50 - mmengine - INFO - Epoch(train) [44][860/940] lr: 6.0000e-03 eta: 7:44:37 time: 0.5260 data_time: 0.0396 memory: 13609 grad_norm: 2.5473 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5871 loss: 1.5871 2022/08/01 16:32:00 - mmengine - INFO - Epoch(train) [44][880/940] lr: 6.0000e-03 eta: 7:44:27 time: 0.5333 data_time: 0.0381 memory: 13609 grad_norm: 2.5446 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6312 loss: 1.6312 2022/08/01 16:32:11 - mmengine - INFO - Epoch(train) [44][900/940] lr: 6.0000e-03 eta: 7:44:17 time: 0.5507 data_time: 0.0309 memory: 13609 grad_norm: 2.5659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7206 loss: 1.7206 2022/08/01 16:32:21 - mmengine - INFO - Epoch(train) [44][920/940] lr: 6.0000e-03 eta: 7:44:05 time: 0.4856 data_time: 0.0355 memory: 13609 grad_norm: 2.5708 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6502 loss: 1.6502 2022/08/01 16:32:31 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:32:31 - mmengine - INFO - Epoch(train) [44][940/940] lr: 6.0000e-03 eta: 7:43:54 time: 0.4933 data_time: 0.0295 memory: 13609 grad_norm: 2.6810 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.7048 loss: 1.7048 2022/08/01 16:34:16 - mmengine - INFO - Epoch(val) [44][20/78] eta: 0:05:03 time: 5.2411 data_time: 4.4794 memory: 19674 2022/08/01 16:35:28 - mmengine - INFO - Epoch(val) [44][40/78] eta: 0:02:16 time: 3.5898 data_time: 2.8381 memory: 19674 2022/08/01 16:37:05 - mmengine - INFO - Epoch(val) [44][60/78] eta: 0:01:27 time: 4.8477 data_time: 4.0982 memory: 19674 2022/08/01 16:38:18 - mmengine - INFO - Epoch(val) [44][78/78] acc/top1: 0.6912 acc/top5: 0.8866 acc/mean1: 0.6911 2022/08/01 16:38:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_44.pth is removed 2022/08/01 16:38:19 - mmengine - INFO - The best checkpoint with 0.6912 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/01 16:38:32 - mmengine - INFO - Epoch(train) [45][20/940] lr: 6.0000e-03 eta: 7:43:46 time: 0.6365 data_time: 0.3294 memory: 19674 grad_norm: 2.5443 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6626 loss: 1.6626 2022/08/01 16:38:42 - mmengine - INFO - Epoch(train) [45][40/940] lr: 6.0000e-03 eta: 7:43:35 time: 0.5124 data_time: 0.1198 memory: 13609 grad_norm: 2.5534 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5396 loss: 1.5396 2022/08/01 16:38:54 - mmengine - INFO - Epoch(train) [45][60/940] lr: 6.0000e-03 eta: 7:43:25 time: 0.5693 data_time: 0.0455 memory: 13609 grad_norm: 2.5046 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4829 loss: 1.4829 2022/08/01 16:39:04 - mmengine - INFO - Epoch(train) [45][80/940] lr: 6.0000e-03 eta: 7:43:14 time: 0.5025 data_time: 0.0387 memory: 13609 grad_norm: 2.5260 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5149 loss: 1.5149 2022/08/01 16:39:15 - mmengine - INFO - Epoch(train) [45][100/940] lr: 6.0000e-03 eta: 7:43:04 time: 0.5512 data_time: 0.0371 memory: 13609 grad_norm: 2.5288 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5121 loss: 1.5121 2022/08/01 16:39:26 - mmengine - INFO - Epoch(train) [45][120/940] lr: 6.0000e-03 eta: 7:42:54 time: 0.5601 data_time: 0.0314 memory: 13609 grad_norm: 2.5740 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4922 loss: 1.4922 2022/08/01 16:39:35 - mmengine - INFO - Epoch(train) [45][140/940] lr: 6.0000e-03 eta: 7:42:42 time: 0.4801 data_time: 0.0378 memory: 13609 grad_norm: 2.5796 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5377 loss: 1.5377 2022/08/01 16:39:46 - mmengine - INFO - Epoch(train) [45][160/940] lr: 6.0000e-03 eta: 7:42:32 time: 0.5458 data_time: 0.0331 memory: 13609 grad_norm: 2.5093 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4996 loss: 1.4996 2022/08/01 16:39:57 - mmengine - INFO - Epoch(train) [45][180/940] lr: 6.0000e-03 eta: 7:42:22 time: 0.5433 data_time: 0.0358 memory: 13609 grad_norm: 2.5746 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4896 loss: 1.4896 2022/08/01 16:40:08 - mmengine - INFO - Epoch(train) [45][200/940] lr: 6.0000e-03 eta: 7:42:12 time: 0.5350 data_time: 0.0351 memory: 13609 grad_norm: 2.5763 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 1.5783 loss: 1.5783 2022/08/01 16:40:17 - mmengine - INFO - Epoch(train) [45][220/940] lr: 6.0000e-03 eta: 7:42:00 time: 0.4705 data_time: 0.0315 memory: 13609 grad_norm: 2.5462 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4972 loss: 1.4972 2022/08/01 16:40:30 - mmengine - INFO - Epoch(train) [45][240/940] lr: 6.0000e-03 eta: 7:41:51 time: 0.6163 data_time: 0.0339 memory: 13609 grad_norm: 2.5665 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7070 loss: 1.7070 2022/08/01 16:40:39 - mmengine - INFO - Epoch(train) [45][260/940] lr: 6.0000e-03 eta: 7:41:39 time: 0.4527 data_time: 0.0341 memory: 13609 grad_norm: 2.5468 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.6183 loss: 1.6183 2022/08/01 16:40:50 - mmengine - INFO - Epoch(train) [45][280/940] lr: 6.0000e-03 eta: 7:41:29 time: 0.5752 data_time: 0.0438 memory: 13609 grad_norm: 2.6064 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6169 loss: 1.6169 2022/08/01 16:41:01 - mmengine - INFO - Epoch(train) [45][300/940] lr: 6.0000e-03 eta: 7:41:19 time: 0.5461 data_time: 0.0301 memory: 13609 grad_norm: 2.5717 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5001 loss: 1.5001 2022/08/01 16:41:11 - mmengine - INFO - Epoch(train) [45][320/940] lr: 6.0000e-03 eta: 7:41:08 time: 0.4924 data_time: 0.0331 memory: 13609 grad_norm: 2.5897 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6387 loss: 1.6387 2022/08/01 16:41:20 - mmengine - INFO - Epoch(train) [45][340/940] lr: 6.0000e-03 eta: 7:40:55 time: 0.4558 data_time: 0.0419 memory: 13609 grad_norm: 2.5748 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7335 loss: 1.7335 2022/08/01 16:41:32 - mmengine - INFO - Epoch(train) [45][360/940] lr: 6.0000e-03 eta: 7:40:46 time: 0.5708 data_time: 0.0338 memory: 13609 grad_norm: 2.6507 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6402 loss: 1.6402 2022/08/01 16:41:42 - mmengine - INFO - Epoch(train) [45][380/940] lr: 6.0000e-03 eta: 7:40:35 time: 0.5120 data_time: 0.0277 memory: 13609 grad_norm: 2.5497 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5922 loss: 1.5922 2022/08/01 16:41:53 - mmengine - INFO - Epoch(train) [45][400/940] lr: 6.0000e-03 eta: 7:40:26 time: 0.5844 data_time: 0.0357 memory: 13609 grad_norm: 2.5349 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4148 loss: 1.4148 2022/08/01 16:42:05 - mmengine - INFO - Epoch(train) [45][420/940] lr: 6.0000e-03 eta: 7:40:16 time: 0.5516 data_time: 0.0336 memory: 13609 grad_norm: 2.5827 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5734 loss: 1.5734 2022/08/01 16:42:15 - mmengine - INFO - Epoch(train) [45][440/940] lr: 6.0000e-03 eta: 7:40:05 time: 0.5356 data_time: 0.0359 memory: 13609 grad_norm: 2.5993 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5393 loss: 1.5393 2022/08/01 16:42:24 - mmengine - INFO - Epoch(train) [45][460/940] lr: 6.0000e-03 eta: 7:39:53 time: 0.4587 data_time: 0.0350 memory: 13609 grad_norm: 2.6322 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6343 loss: 1.6343 2022/08/01 16:42:35 - mmengine - INFO - Epoch(train) [45][480/940] lr: 6.0000e-03 eta: 7:39:43 time: 0.5497 data_time: 0.0396 memory: 13609 grad_norm: 2.5649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5405 loss: 1.5405 2022/08/01 16:42:46 - mmengine - INFO - Epoch(train) [45][500/940] lr: 6.0000e-03 eta: 7:39:32 time: 0.5336 data_time: 0.0484 memory: 13609 grad_norm: 2.5496 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/08/01 16:42:59 - mmengine - INFO - Epoch(train) [45][520/940] lr: 6.0000e-03 eta: 7:39:25 time: 0.6562 data_time: 0.0386 memory: 13609 grad_norm: 2.6502 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5376 loss: 1.5376 2022/08/01 16:43:08 - mmengine - INFO - Epoch(train) [45][540/940] lr: 6.0000e-03 eta: 7:39:12 time: 0.4273 data_time: 0.0348 memory: 13609 grad_norm: 2.5843 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5486 loss: 1.5486 2022/08/01 16:43:20 - mmengine - INFO - Epoch(train) [45][560/940] lr: 6.0000e-03 eta: 7:39:03 time: 0.5969 data_time: 0.0361 memory: 13609 grad_norm: 2.6447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5893 loss: 1.5893 2022/08/01 16:43:28 - mmengine - INFO - Epoch(train) [45][580/940] lr: 6.0000e-03 eta: 7:38:50 time: 0.4273 data_time: 0.0419 memory: 13609 grad_norm: 2.6003 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.6614 loss: 1.6614 2022/08/01 16:43:40 - mmengine - INFO - Epoch(train) [45][600/940] lr: 6.0000e-03 eta: 7:38:41 time: 0.5861 data_time: 0.0437 memory: 13609 grad_norm: 2.5901 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4027 loss: 1.4027 2022/08/01 16:43:51 - mmengine - INFO - Epoch(train) [45][620/940] lr: 6.0000e-03 eta: 7:38:30 time: 0.5287 data_time: 0.0319 memory: 13609 grad_norm: 2.6166 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5342 loss: 1.5342 2022/08/01 16:44:00 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:44:00 - mmengine - INFO - Epoch(train) [45][640/940] lr: 6.0000e-03 eta: 7:38:18 time: 0.4850 data_time: 0.0362 memory: 13609 grad_norm: 2.6053 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4823 loss: 1.4823 2022/08/01 16:44:11 - mmengine - INFO - Epoch(train) [45][660/940] lr: 6.0000e-03 eta: 7:38:09 time: 0.5547 data_time: 0.0312 memory: 13609 grad_norm: 2.6442 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6408 loss: 1.6408 2022/08/01 16:44:21 - mmengine - INFO - Epoch(train) [45][680/940] lr: 6.0000e-03 eta: 7:37:57 time: 0.4981 data_time: 0.0362 memory: 13609 grad_norm: 2.5947 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5383 loss: 1.5383 2022/08/01 16:44:32 - mmengine - INFO - Epoch(train) [45][700/940] lr: 6.0000e-03 eta: 7:37:46 time: 0.5097 data_time: 0.0380 memory: 13609 grad_norm: 2.6179 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4529 loss: 1.4529 2022/08/01 16:44:42 - mmengine - INFO - Epoch(train) [45][720/940] lr: 6.0000e-03 eta: 7:37:36 time: 0.5492 data_time: 0.0355 memory: 13609 grad_norm: 2.6315 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7289 loss: 1.7289 2022/08/01 16:44:53 - mmengine - INFO - Epoch(train) [45][740/940] lr: 6.0000e-03 eta: 7:37:26 time: 0.5310 data_time: 0.0404 memory: 13609 grad_norm: 2.5836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4837 loss: 1.4837 2022/08/01 16:45:04 - mmengine - INFO - Epoch(train) [45][760/940] lr: 6.0000e-03 eta: 7:37:15 time: 0.5310 data_time: 0.0339 memory: 13609 grad_norm: 2.6253 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4639 loss: 1.4639 2022/08/01 16:45:13 - mmengine - INFO - Epoch(train) [45][780/940] lr: 6.0000e-03 eta: 7:37:03 time: 0.4786 data_time: 0.0323 memory: 13609 grad_norm: 2.5895 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4773 loss: 1.4773 2022/08/01 16:45:24 - mmengine - INFO - Epoch(train) [45][800/940] lr: 6.0000e-03 eta: 7:36:53 time: 0.5364 data_time: 0.0348 memory: 13609 grad_norm: 2.5976 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5133 loss: 1.5133 2022/08/01 16:45:37 - mmengine - INFO - Epoch(train) [45][820/940] lr: 6.0000e-03 eta: 7:36:45 time: 0.6569 data_time: 0.0290 memory: 13609 grad_norm: 2.6242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/08/01 16:45:48 - mmengine - INFO - Epoch(train) [45][840/940] lr: 6.0000e-03 eta: 7:36:34 time: 0.5125 data_time: 0.0353 memory: 13609 grad_norm: 2.6174 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4193 loss: 1.4193 2022/08/01 16:45:58 - mmengine - INFO - Epoch(train) [45][860/940] lr: 6.0000e-03 eta: 7:36:24 time: 0.5382 data_time: 0.0426 memory: 13609 grad_norm: 2.5738 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.4850 loss: 1.4850 2022/08/01 16:46:08 - mmengine - INFO - Epoch(train) [45][880/940] lr: 6.0000e-03 eta: 7:36:12 time: 0.4759 data_time: 0.0318 memory: 13609 grad_norm: 2.5726 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4906 loss: 1.4906 2022/08/01 16:46:19 - mmengine - INFO - Epoch(train) [45][900/940] lr: 6.0000e-03 eta: 7:36:03 time: 0.5808 data_time: 0.0335 memory: 13609 grad_norm: 2.6545 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.5599 loss: 1.5599 2022/08/01 16:46:29 - mmengine - INFO - Epoch(train) [45][920/940] lr: 6.0000e-03 eta: 7:35:52 time: 0.5011 data_time: 0.0283 memory: 13609 grad_norm: 2.5670 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4861 loss: 1.4861 2022/08/01 16:46:38 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 16:46:38 - mmengine - INFO - Epoch(train) [45][940/940] lr: 6.0000e-03 eta: 7:35:38 time: 0.4123 data_time: 0.0239 memory: 13609 grad_norm: 2.6763 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4132 loss: 1.4132 2022/08/01 16:46:38 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/01 16:48:26 - mmengine - INFO - Epoch(val) [45][20/78] eta: 0:05:06 time: 5.2923 data_time: 4.5528 memory: 19674 2022/08/01 16:49:39 - mmengine - INFO - Epoch(val) [45][40/78] eta: 0:02:18 time: 3.6444 data_time: 2.8967 memory: 19674 2022/08/01 16:51:15 - mmengine - INFO - Epoch(val) [45][60/78] eta: 0:01:26 time: 4.7828 data_time: 4.0412 memory: 19674 2022/08/01 16:52:25 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.6897 acc/top5: 0.8866 acc/mean1: 0.6896 2022/08/01 16:52:39 - mmengine - INFO - Epoch(train) [46][20/940] lr: 6.0000e-03 eta: 7:35:32 time: 0.6873 data_time: 0.3834 memory: 19674 grad_norm: 2.5406 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5502 loss: 1.5502 2022/08/01 16:52:49 - mmengine - INFO - Epoch(train) [46][40/940] lr: 6.0000e-03 eta: 7:35:21 time: 0.5120 data_time: 0.1172 memory: 13609 grad_norm: 2.5565 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5025 loss: 1.5025 2022/08/01 16:53:01 - mmengine - INFO - Epoch(train) [46][60/940] lr: 6.0000e-03 eta: 7:35:11 time: 0.5761 data_time: 0.0549 memory: 13609 grad_norm: 2.5903 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3781 loss: 1.3781 2022/08/01 16:53:11 - mmengine - INFO - Epoch(train) [46][80/940] lr: 6.0000e-03 eta: 7:35:01 time: 0.5322 data_time: 0.1182 memory: 13609 grad_norm: 2.5969 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6192 loss: 1.6192 2022/08/01 16:53:23 - mmengine - INFO - Epoch(train) [46][100/940] lr: 6.0000e-03 eta: 7:34:51 time: 0.5697 data_time: 0.2736 memory: 13609 grad_norm: 2.5742 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.7058 loss: 1.7058 2022/08/01 16:53:32 - mmengine - INFO - Epoch(train) [46][120/940] lr: 6.0000e-03 eta: 7:34:38 time: 0.4400 data_time: 0.1509 memory: 13609 grad_norm: 2.6159 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/08/01 16:53:43 - mmengine - INFO - Epoch(train) [46][140/940] lr: 6.0000e-03 eta: 7:34:29 time: 0.5815 data_time: 0.2665 memory: 13609 grad_norm: 2.6741 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5058 loss: 1.5058 2022/08/01 16:53:53 - mmengine - INFO - Epoch(train) [46][160/940] lr: 6.0000e-03 eta: 7:34:17 time: 0.4789 data_time: 0.1080 memory: 13609 grad_norm: 2.6313 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4944 loss: 1.4944 2022/08/01 16:54:04 - mmengine - INFO - Epoch(train) [46][180/940] lr: 6.0000e-03 eta: 7:34:07 time: 0.5619 data_time: 0.0547 memory: 13609 grad_norm: 2.6190 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4684 loss: 1.4684 2022/08/01 16:54:13 - mmengine - INFO - Epoch(train) [46][200/940] lr: 6.0000e-03 eta: 7:33:55 time: 0.4654 data_time: 0.0501 memory: 13609 grad_norm: 2.6731 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7254 loss: 1.7254 2022/08/01 16:54:25 - mmengine - INFO - Epoch(train) [46][220/940] lr: 6.0000e-03 eta: 7:33:46 time: 0.5899 data_time: 0.0329 memory: 13609 grad_norm: 2.6032 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4585 loss: 1.4585 2022/08/01 16:54:35 - mmengine - INFO - Epoch(train) [46][240/940] lr: 6.0000e-03 eta: 7:33:35 time: 0.4844 data_time: 0.0354 memory: 13609 grad_norm: 2.5532 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5109 loss: 1.5109 2022/08/01 16:54:47 - mmengine - INFO - Epoch(train) [46][260/940] lr: 6.0000e-03 eta: 7:33:26 time: 0.5930 data_time: 0.0740 memory: 13609 grad_norm: 2.6329 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5064 loss: 1.5064 2022/08/01 16:54:57 - mmengine - INFO - Epoch(train) [46][280/940] lr: 6.0000e-03 eta: 7:33:14 time: 0.4921 data_time: 0.0436 memory: 13609 grad_norm: 2.6142 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4291 loss: 1.4291 2022/08/01 16:55:07 - mmengine - INFO - Epoch(train) [46][300/940] lr: 6.0000e-03 eta: 7:33:03 time: 0.5265 data_time: 0.0354 memory: 13609 grad_norm: 2.6106 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/08/01 16:55:17 - mmengine - INFO - Epoch(train) [46][320/940] lr: 6.0000e-03 eta: 7:32:52 time: 0.4977 data_time: 0.0287 memory: 13609 grad_norm: 2.6148 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6462 loss: 1.6462 2022/08/01 16:55:29 - mmengine - INFO - Epoch(train) [46][340/940] lr: 6.0000e-03 eta: 7:32:43 time: 0.5801 data_time: 0.0432 memory: 13609 grad_norm: 2.7207 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7040 loss: 1.7040 2022/08/01 16:55:38 - mmengine - INFO - Epoch(train) [46][360/940] lr: 6.0000e-03 eta: 7:32:31 time: 0.4731 data_time: 0.0332 memory: 13609 grad_norm: 2.6546 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5207 loss: 1.5207 2022/08/01 16:55:50 - mmengine - INFO - Epoch(train) [46][380/940] lr: 6.0000e-03 eta: 7:32:21 time: 0.5750 data_time: 0.0378 memory: 13609 grad_norm: 2.5955 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4528 loss: 1.4528 2022/08/01 16:56:00 - mmengine - INFO - Epoch(train) [46][400/940] lr: 6.0000e-03 eta: 7:32:10 time: 0.5047 data_time: 0.0463 memory: 13609 grad_norm: 2.6464 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4662 loss: 1.4662 2022/08/01 16:59:09 - mmengine - INFO - Epoch(train) [46][420/940] lr: 6.0000e-03 eta: 7:35:34 time: 9.4720 data_time: 0.0252 memory: 13609 grad_norm: 2.6365 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.6166 loss: 1.6166 2022/08/01 16:59:19 - mmengine - INFO - Epoch(train) [46][440/940] lr: 6.0000e-03 eta: 7:35:22 time: 0.4843 data_time: 0.0406 memory: 13609 grad_norm: 2.6553 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.6697 loss: 1.6697 2022/08/01 16:59:30 - mmengine - INFO - Epoch(train) [46][460/940] lr: 6.0000e-03 eta: 7:35:12 time: 0.5614 data_time: 0.0326 memory: 13609 grad_norm: 2.6248 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5174 loss: 1.5174 2022/08/01 16:59:39 - mmengine - INFO - Epoch(train) [46][480/940] lr: 6.0000e-03 eta: 7:35:00 time: 0.4676 data_time: 0.0355 memory: 13609 grad_norm: 2.5970 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.5834 loss: 1.5834 2022/08/01 16:59:50 - mmengine - INFO - Epoch(train) [46][500/940] lr: 6.0000e-03 eta: 7:34:50 time: 0.5289 data_time: 0.0549 memory: 13609 grad_norm: 2.6962 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3940 loss: 1.3940 2022/08/01 17:00:00 - mmengine - INFO - Epoch(train) [46][520/940] lr: 6.0000e-03 eta: 7:34:38 time: 0.5114 data_time: 0.0324 memory: 13609 grad_norm: 2.5955 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3369 loss: 1.3369 2022/08/01 17:00:10 - mmengine - INFO - Epoch(train) [46][540/940] lr: 6.0000e-03 eta: 7:34:27 time: 0.4870 data_time: 0.0341 memory: 13609 grad_norm: 2.6353 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5096 loss: 1.5096 2022/08/01 17:00:20 - mmengine - INFO - Epoch(train) [46][560/940] lr: 6.0000e-03 eta: 7:34:15 time: 0.5135 data_time: 0.0295 memory: 13609 grad_norm: 2.6847 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4611 loss: 1.4611 2022/08/01 17:00:31 - mmengine - INFO - Epoch(train) [46][580/940] lr: 6.0000e-03 eta: 7:34:05 time: 0.5496 data_time: 0.0350 memory: 13609 grad_norm: 2.6753 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4834 loss: 1.4834 2022/08/01 17:00:41 - mmengine - INFO - Epoch(train) [46][600/940] lr: 6.0000e-03 eta: 7:33:53 time: 0.4864 data_time: 0.0318 memory: 13609 grad_norm: 2.6733 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4838 loss: 1.4838 2022/08/01 17:00:53 - mmengine - INFO - Epoch(train) [46][620/940] lr: 6.0000e-03 eta: 7:33:44 time: 0.5884 data_time: 0.0371 memory: 13609 grad_norm: 2.6570 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4271 loss: 1.4271 2022/08/01 17:01:03 - mmengine - INFO - Epoch(train) [46][640/940] lr: 6.0000e-03 eta: 7:33:33 time: 0.5238 data_time: 0.0364 memory: 13609 grad_norm: 2.6631 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5176 loss: 1.5176 2022/08/01 17:01:14 - mmengine - INFO - Epoch(train) [46][660/940] lr: 6.0000e-03 eta: 7:33:22 time: 0.5256 data_time: 0.0376 memory: 13609 grad_norm: 2.6515 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4056 loss: 1.4056 2022/08/01 17:01:23 - mmengine - INFO - Epoch(train) [46][680/940] lr: 6.0000e-03 eta: 7:33:10 time: 0.4743 data_time: 0.0378 memory: 13609 grad_norm: 2.6165 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.6632 loss: 1.6632 2022/08/01 17:01:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:01:35 - mmengine - INFO - Epoch(train) [46][700/940] lr: 6.0000e-03 eta: 7:33:00 time: 0.5672 data_time: 0.0358 memory: 13609 grad_norm: 2.6279 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5589 loss: 1.5589 2022/08/01 17:01:45 - mmengine - INFO - Epoch(train) [46][720/940] lr: 6.0000e-03 eta: 7:32:49 time: 0.5064 data_time: 0.0378 memory: 13609 grad_norm: 2.6850 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6277 loss: 1.6277 2022/08/01 17:01:55 - mmengine - INFO - Epoch(train) [46][740/940] lr: 6.0000e-03 eta: 7:32:38 time: 0.5171 data_time: 0.0366 memory: 13609 grad_norm: 2.6366 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5003 loss: 1.5003 2022/08/01 17:02:07 - mmengine - INFO - Epoch(train) [46][760/940] lr: 6.0000e-03 eta: 7:32:29 time: 0.5913 data_time: 0.0356 memory: 13609 grad_norm: 2.6751 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5449 loss: 1.5449 2022/08/01 17:02:17 - mmengine - INFO - Epoch(train) [46][780/940] lr: 6.0000e-03 eta: 7:32:17 time: 0.4836 data_time: 0.0345 memory: 13609 grad_norm: 2.7329 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4272 loss: 1.4272 2022/08/01 17:02:27 - mmengine - INFO - Epoch(train) [46][800/940] lr: 6.0000e-03 eta: 7:32:07 time: 0.5390 data_time: 0.0320 memory: 13609 grad_norm: 2.6527 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5297 loss: 1.5297 2022/08/01 17:02:38 - mmengine - INFO - Epoch(train) [46][820/940] lr: 6.0000e-03 eta: 7:31:55 time: 0.5097 data_time: 0.0388 memory: 13609 grad_norm: 2.7037 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5684 loss: 1.5684 2022/08/01 17:02:48 - mmengine - INFO - Epoch(train) [46][840/940] lr: 6.0000e-03 eta: 7:31:45 time: 0.5356 data_time: 0.0333 memory: 13609 grad_norm: 2.6642 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4092 loss: 1.4092 2022/08/01 17:02:57 - mmengine - INFO - Epoch(train) [46][860/940] lr: 6.0000e-03 eta: 7:31:32 time: 0.4577 data_time: 0.0492 memory: 13609 grad_norm: 2.6597 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4144 loss: 1.4144 2022/08/01 17:03:09 - mmengine - INFO - Epoch(train) [46][880/940] lr: 6.0000e-03 eta: 7:31:23 time: 0.5710 data_time: 0.0371 memory: 13609 grad_norm: 2.6566 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4594 loss: 1.4594 2022/08/01 17:03:19 - mmengine - INFO - Epoch(train) [46][900/940] lr: 6.0000e-03 eta: 7:31:11 time: 0.5032 data_time: 0.0413 memory: 13609 grad_norm: 2.6503 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5842 loss: 1.5842 2022/08/01 17:03:29 - mmengine - INFO - Epoch(train) [46][920/940] lr: 6.0000e-03 eta: 7:31:00 time: 0.5265 data_time: 0.0383 memory: 13609 grad_norm: 2.5949 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3975 loss: 1.3975 2022/08/01 17:03:38 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:03:38 - mmengine - INFO - Epoch(train) [46][940/940] lr: 6.0000e-03 eta: 7:30:48 time: 0.4510 data_time: 0.0969 memory: 13609 grad_norm: 2.8297 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.6327 loss: 1.6327 2022/08/01 17:05:24 - mmengine - INFO - Epoch(val) [46][20/78] eta: 0:05:06 time: 5.2849 data_time: 4.5180 memory: 19674 2022/08/01 17:06:36 - mmengine - INFO - Epoch(val) [46][40/78] eta: 0:02:16 time: 3.5932 data_time: 2.8473 memory: 19674 2022/08/01 17:08:12 - mmengine - INFO - Epoch(val) [46][60/78] eta: 0:01:26 time: 4.8129 data_time: 4.0721 memory: 19674 2022/08/01 17:09:25 - mmengine - INFO - Epoch(val) [46][78/78] acc/top1: 0.6905 acc/top5: 0.8877 acc/mean1: 0.6904 2022/08/01 17:09:40 - mmengine - INFO - Epoch(train) [47][20/940] lr: 6.0000e-03 eta: 7:30:42 time: 0.7199 data_time: 0.4034 memory: 19674 grad_norm: 2.6459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5639 loss: 1.5639 2022/08/01 17:09:49 - mmengine - INFO - Epoch(train) [47][40/940] lr: 6.0000e-03 eta: 7:30:30 time: 0.4772 data_time: 0.1875 memory: 13609 grad_norm: 2.6943 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.5192 loss: 1.5192 2022/08/01 17:10:02 - mmengine - INFO - Epoch(train) [47][60/940] lr: 6.0000e-03 eta: 7:30:21 time: 0.6101 data_time: 0.2533 memory: 13609 grad_norm: 2.6229 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4798 loss: 1.4798 2022/08/01 17:10:12 - mmengine - INFO - Epoch(train) [47][80/940] lr: 6.0000e-03 eta: 7:30:09 time: 0.4939 data_time: 0.2093 memory: 13609 grad_norm: 2.6591 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4126 loss: 1.4126 2022/08/01 17:10:23 - mmengine - INFO - Epoch(train) [47][100/940] lr: 6.0000e-03 eta: 7:29:59 time: 0.5549 data_time: 0.2571 memory: 13609 grad_norm: 2.6821 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.5625 loss: 1.5625 2022/08/01 17:10:33 - mmengine - INFO - Epoch(train) [47][120/940] lr: 6.0000e-03 eta: 7:29:48 time: 0.5268 data_time: 0.2103 memory: 13609 grad_norm: 2.6676 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4267 loss: 1.4267 2022/08/01 17:10:44 - mmengine - INFO - Epoch(train) [47][140/940] lr: 6.0000e-03 eta: 7:29:38 time: 0.5437 data_time: 0.2255 memory: 13609 grad_norm: 2.6331 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5453 loss: 1.5453 2022/08/01 17:10:54 - mmengine - INFO - Epoch(train) [47][160/940] lr: 6.0000e-03 eta: 7:29:26 time: 0.4859 data_time: 0.1864 memory: 13609 grad_norm: 2.7187 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5961 loss: 1.5961 2022/08/01 17:11:05 - mmengine - INFO - Epoch(train) [47][180/940] lr: 6.0000e-03 eta: 7:29:16 time: 0.5401 data_time: 0.2076 memory: 13609 grad_norm: 2.6995 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6744 loss: 1.6744 2022/08/01 17:11:14 - mmengine - INFO - Epoch(train) [47][200/940] lr: 6.0000e-03 eta: 7:29:03 time: 0.4530 data_time: 0.1253 memory: 13609 grad_norm: 2.6670 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4127 loss: 1.4127 2022/08/01 17:11:25 - mmengine - INFO - Epoch(train) [47][220/940] lr: 6.0000e-03 eta: 7:28:53 time: 0.5578 data_time: 0.1419 memory: 13609 grad_norm: 2.6572 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5368 loss: 1.5368 2022/08/01 17:11:35 - mmengine - INFO - Epoch(train) [47][240/940] lr: 6.0000e-03 eta: 7:28:42 time: 0.5217 data_time: 0.1234 memory: 13609 grad_norm: 2.6443 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4126 loss: 1.4126 2022/08/01 17:11:47 - mmengine - INFO - Epoch(train) [47][260/940] lr: 6.0000e-03 eta: 7:28:32 time: 0.5639 data_time: 0.0350 memory: 13609 grad_norm: 2.6687 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3635 loss: 1.3635 2022/08/01 17:11:56 - mmengine - INFO - Epoch(train) [47][280/940] lr: 6.0000e-03 eta: 7:28:20 time: 0.4794 data_time: 0.0444 memory: 13609 grad_norm: 2.7207 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5232 loss: 1.5232 2022/08/01 17:12:07 - mmengine - INFO - Epoch(train) [47][300/940] lr: 6.0000e-03 eta: 7:28:10 time: 0.5452 data_time: 0.0578 memory: 13609 grad_norm: 2.6860 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4960 loss: 1.4960 2022/08/01 17:12:18 - mmengine - INFO - Epoch(train) [47][320/940] lr: 6.0000e-03 eta: 7:27:59 time: 0.5202 data_time: 0.0362 memory: 13609 grad_norm: 2.7189 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6221 loss: 1.6221 2022/08/01 17:12:28 - mmengine - INFO - Epoch(train) [47][340/940] lr: 6.0000e-03 eta: 7:27:48 time: 0.5364 data_time: 0.0510 memory: 13609 grad_norm: 2.6348 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3412 loss: 1.3412 2022/08/01 17:12:38 - mmengine - INFO - Epoch(train) [47][360/940] lr: 6.0000e-03 eta: 7:27:37 time: 0.5002 data_time: 0.0642 memory: 13609 grad_norm: 2.7297 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6266 loss: 1.6266 2022/08/01 17:12:50 - mmengine - INFO - Epoch(train) [47][380/940] lr: 6.0000e-03 eta: 7:27:28 time: 0.6005 data_time: 0.0473 memory: 13609 grad_norm: 2.6440 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4395 loss: 1.4395 2022/08/01 17:12:59 - mmengine - INFO - Epoch(train) [47][400/940] lr: 6.0000e-03 eta: 7:27:14 time: 0.4178 data_time: 0.0543 memory: 13609 grad_norm: 2.6251 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/08/01 17:13:10 - mmengine - INFO - Epoch(train) [47][420/940] lr: 6.0000e-03 eta: 7:27:05 time: 0.5800 data_time: 0.0338 memory: 13609 grad_norm: 2.6752 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5980 loss: 1.5980 2022/08/01 17:13:20 - mmengine - INFO - Epoch(train) [47][440/940] lr: 6.0000e-03 eta: 7:26:54 time: 0.5115 data_time: 0.0850 memory: 13609 grad_norm: 2.6802 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6351 loss: 1.6351 2022/08/01 17:13:32 - mmengine - INFO - Epoch(train) [47][460/940] lr: 6.0000e-03 eta: 7:26:44 time: 0.5549 data_time: 0.0901 memory: 13609 grad_norm: 2.6958 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4520 loss: 1.4520 2022/08/01 17:13:42 - mmengine - INFO - Epoch(train) [47][480/940] lr: 6.0000e-03 eta: 7:26:33 time: 0.5409 data_time: 0.0372 memory: 13609 grad_norm: 2.6821 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4904 loss: 1.4904 2022/08/01 17:13:53 - mmengine - INFO - Epoch(train) [47][500/940] lr: 6.0000e-03 eta: 7:26:22 time: 0.5143 data_time: 0.0358 memory: 13609 grad_norm: 2.7162 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6626 loss: 1.6626 2022/08/01 17:14:04 - mmengine - INFO - Epoch(train) [47][520/940] lr: 6.0000e-03 eta: 7:26:12 time: 0.5455 data_time: 0.0365 memory: 13609 grad_norm: 2.7070 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5123 loss: 1.5123 2022/08/01 17:14:13 - mmengine - INFO - Epoch(train) [47][540/940] lr: 6.0000e-03 eta: 7:25:59 time: 0.4511 data_time: 0.0365 memory: 13609 grad_norm: 2.6919 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4968 loss: 1.4968 2022/08/01 17:14:23 - mmengine - INFO - Epoch(train) [47][560/940] lr: 6.0000e-03 eta: 7:25:49 time: 0.5363 data_time: 0.0857 memory: 13609 grad_norm: 2.6594 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5062 loss: 1.5062 2022/08/01 17:14:34 - mmengine - INFO - Epoch(train) [47][580/940] lr: 6.0000e-03 eta: 7:25:38 time: 0.5406 data_time: 0.1947 memory: 13609 grad_norm: 2.7521 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4580 loss: 1.4580 2022/08/01 17:14:44 - mmengine - INFO - Epoch(train) [47][600/940] lr: 6.0000e-03 eta: 7:25:26 time: 0.4784 data_time: 0.1562 memory: 13609 grad_norm: 2.6777 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5258 loss: 1.5258 2022/08/01 17:14:55 - mmengine - INFO - Epoch(train) [47][620/940] lr: 6.0000e-03 eta: 7:25:17 time: 0.5811 data_time: 0.2626 memory: 13609 grad_norm: 2.6866 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4546 loss: 1.4546 2022/08/01 17:15:05 - mmengine - INFO - Epoch(train) [47][640/940] lr: 6.0000e-03 eta: 7:25:05 time: 0.4794 data_time: 0.1332 memory: 13609 grad_norm: 2.6977 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5473 loss: 1.5473 2022/08/01 17:15:17 - mmengine - INFO - Epoch(train) [47][660/940] lr: 6.0000e-03 eta: 7:24:56 time: 0.6090 data_time: 0.3137 memory: 13609 grad_norm: 2.6792 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5063 loss: 1.5063 2022/08/01 17:15:27 - mmengine - INFO - Epoch(train) [47][680/940] lr: 6.0000e-03 eta: 7:24:44 time: 0.4770 data_time: 0.1718 memory: 13609 grad_norm: 2.6924 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4219 loss: 1.4219 2022/08/01 17:15:37 - mmengine - INFO - Epoch(train) [47][700/940] lr: 6.0000e-03 eta: 7:24:33 time: 0.5360 data_time: 0.2359 memory: 13609 grad_norm: 2.7547 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5631 loss: 1.5631 2022/08/01 17:15:48 - mmengine - INFO - Epoch(train) [47][720/940] lr: 6.0000e-03 eta: 7:24:22 time: 0.5205 data_time: 0.2162 memory: 13609 grad_norm: 2.7480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6353 loss: 1.6353 2022/08/01 17:15:59 - mmengine - INFO - Epoch(train) [47][740/940] lr: 6.0000e-03 eta: 7:24:12 time: 0.5506 data_time: 0.2627 memory: 13609 grad_norm: 2.7081 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4453 loss: 1.4453 2022/08/01 17:16:09 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:16:09 - mmengine - INFO - Epoch(train) [47][760/940] lr: 6.0000e-03 eta: 7:24:01 time: 0.5222 data_time: 0.2210 memory: 13609 grad_norm: 2.7097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7343 loss: 1.7343 2022/08/01 17:16:20 - mmengine - INFO - Epoch(train) [47][780/940] lr: 6.0000e-03 eta: 7:23:51 time: 0.5517 data_time: 0.2582 memory: 13609 grad_norm: 2.7118 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/08/01 17:16:30 - mmengine - INFO - Epoch(train) [47][800/940] lr: 6.0000e-03 eta: 7:23:39 time: 0.4923 data_time: 0.1849 memory: 13609 grad_norm: 2.7148 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5104 loss: 1.5104 2022/08/01 17:16:40 - mmengine - INFO - Epoch(train) [47][820/940] lr: 6.0000e-03 eta: 7:23:28 time: 0.5111 data_time: 0.2102 memory: 13609 grad_norm: 2.7515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4304 loss: 1.4304 2022/08/01 17:16:50 - mmengine - INFO - Epoch(train) [47][840/940] lr: 6.0000e-03 eta: 7:23:17 time: 0.4985 data_time: 0.1603 memory: 13609 grad_norm: 2.7559 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5830 loss: 1.5830 2022/08/01 17:17:03 - mmengine - INFO - Epoch(train) [47][860/940] lr: 6.0000e-03 eta: 7:23:08 time: 0.6132 data_time: 0.2702 memory: 13609 grad_norm: 2.7033 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3881 loss: 1.3881 2022/08/01 17:17:12 - mmengine - INFO - Epoch(train) [47][880/940] lr: 6.0000e-03 eta: 7:22:56 time: 0.4528 data_time: 0.1291 memory: 13609 grad_norm: 2.6883 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5866 loss: 1.5866 2022/08/01 17:17:23 - mmengine - INFO - Epoch(train) [47][900/940] lr: 6.0000e-03 eta: 7:22:46 time: 0.5674 data_time: 0.2297 memory: 13609 grad_norm: 2.7203 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4817 loss: 1.4817 2022/08/01 17:17:33 - mmengine - INFO - Epoch(train) [47][920/940] lr: 6.0000e-03 eta: 7:22:34 time: 0.4825 data_time: 0.1082 memory: 13609 grad_norm: 2.7111 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5231 loss: 1.5231 2022/08/01 17:17:42 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:17:42 - mmengine - INFO - Epoch(train) [47][940/940] lr: 6.0000e-03 eta: 7:22:21 time: 0.4507 data_time: 0.1004 memory: 13609 grad_norm: 2.8120 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.6647 loss: 1.6647 2022/08/01 17:19:27 - mmengine - INFO - Epoch(val) [47][20/78] eta: 0:05:04 time: 5.2482 data_time: 4.4817 memory: 19674 2022/08/01 17:20:39 - mmengine - INFO - Epoch(val) [47][40/78] eta: 0:02:16 time: 3.5976 data_time: 2.8453 memory: 19674 2022/08/01 17:22:15 - mmengine - INFO - Epoch(val) [47][60/78] eta: 0:01:26 time: 4.8156 data_time: 4.0555 memory: 19674 2022/08/01 17:23:30 - mmengine - INFO - Epoch(val) [47][78/78] acc/top1: 0.6923 acc/top5: 0.8886 acc/mean1: 0.6921 2022/08/01 17:23:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_45.pth is removed 2022/08/01 17:23:31 - mmengine - INFO - The best checkpoint with 0.6923 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/01 17:23:46 - mmengine - INFO - Epoch(train) [48][20/940] lr: 6.0000e-03 eta: 7:22:15 time: 0.7121 data_time: 0.4216 memory: 19674 grad_norm: 2.6824 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3387 loss: 1.3387 2022/08/01 17:23:55 - mmengine - INFO - Epoch(train) [48][40/940] lr: 6.0000e-03 eta: 7:22:03 time: 0.4964 data_time: 0.2080 memory: 13609 grad_norm: 2.6721 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5197 loss: 1.5197 2022/08/01 17:24:07 - mmengine - INFO - Epoch(train) [48][60/940] lr: 6.0000e-03 eta: 7:21:53 time: 0.5591 data_time: 0.2645 memory: 13609 grad_norm: 2.6663 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5167 loss: 1.5167 2022/08/01 17:24:17 - mmengine - INFO - Epoch(train) [48][80/940] lr: 6.0000e-03 eta: 7:21:42 time: 0.5048 data_time: 0.2036 memory: 13609 grad_norm: 2.6923 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4176 loss: 1.4176 2022/08/01 17:24:29 - mmengine - INFO - Epoch(train) [48][100/940] lr: 6.0000e-03 eta: 7:21:33 time: 0.5895 data_time: 0.2940 memory: 13609 grad_norm: 2.7020 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4838 loss: 1.4838 2022/08/01 17:24:37 - mmengine - INFO - Epoch(train) [48][120/940] lr: 6.0000e-03 eta: 7:21:20 time: 0.4404 data_time: 0.1415 memory: 13609 grad_norm: 2.7895 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5875 loss: 1.5875 2022/08/01 17:24:48 - mmengine - INFO - Epoch(train) [48][140/940] lr: 6.0000e-03 eta: 7:21:09 time: 0.5415 data_time: 0.2222 memory: 13609 grad_norm: 2.7092 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4618 loss: 1.4618 2022/08/01 17:24:58 - mmengine - INFO - Epoch(train) [48][160/940] lr: 6.0000e-03 eta: 7:20:58 time: 0.4992 data_time: 0.2059 memory: 13609 grad_norm: 2.7606 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4950 loss: 1.4950 2022/08/01 17:25:10 - mmengine - INFO - Epoch(train) [48][180/940] lr: 6.0000e-03 eta: 7:20:49 time: 0.6012 data_time: 0.2989 memory: 13609 grad_norm: 2.7205 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4659 loss: 1.4659 2022/08/01 17:25:20 - mmengine - INFO - Epoch(train) [48][200/940] lr: 6.0000e-03 eta: 7:20:37 time: 0.4795 data_time: 0.1586 memory: 13609 grad_norm: 2.7366 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5102 loss: 1.5102 2022/08/01 17:25:31 - mmengine - INFO - Epoch(train) [48][220/940] lr: 6.0000e-03 eta: 7:20:26 time: 0.5379 data_time: 0.2102 memory: 13609 grad_norm: 2.7072 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4919 loss: 1.4919 2022/08/01 17:25:40 - mmengine - INFO - Epoch(train) [48][240/940] lr: 6.0000e-03 eta: 7:20:14 time: 0.4670 data_time: 0.1691 memory: 13609 grad_norm: 2.7060 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5689 loss: 1.5689 2022/08/01 17:25:53 - mmengine - INFO - Epoch(train) [48][260/940] lr: 6.0000e-03 eta: 7:20:06 time: 0.6479 data_time: 0.3176 memory: 13609 grad_norm: 2.7360 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4423 loss: 1.4423 2022/08/01 17:26:03 - mmengine - INFO - Epoch(train) [48][280/940] lr: 6.0000e-03 eta: 7:19:55 time: 0.5077 data_time: 0.2064 memory: 13609 grad_norm: 2.7868 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5846 loss: 1.5846 2022/08/01 17:26:14 - mmengine - INFO - Epoch(train) [48][300/940] lr: 6.0000e-03 eta: 7:19:44 time: 0.5411 data_time: 0.2552 memory: 13609 grad_norm: 2.7354 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5027 loss: 1.5027 2022/08/01 17:26:23 - mmengine - INFO - Epoch(train) [48][320/940] lr: 6.0000e-03 eta: 7:19:33 time: 0.4764 data_time: 0.1712 memory: 13609 grad_norm: 2.7900 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5115 loss: 1.5115 2022/08/01 17:26:34 - mmengine - INFO - Epoch(train) [48][340/940] lr: 6.0000e-03 eta: 7:19:22 time: 0.5324 data_time: 0.2408 memory: 13609 grad_norm: 2.7305 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6165 loss: 1.6165 2022/08/01 17:26:44 - mmengine - INFO - Epoch(train) [48][360/940] lr: 6.0000e-03 eta: 7:19:11 time: 0.5223 data_time: 0.2096 memory: 13609 grad_norm: 2.7387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3736 loss: 1.3736 2022/08/01 17:26:56 - mmengine - INFO - Epoch(train) [48][380/940] lr: 6.0000e-03 eta: 7:19:01 time: 0.5586 data_time: 0.2636 memory: 13609 grad_norm: 2.7552 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4650 loss: 1.4650 2022/08/01 17:27:06 - mmengine - INFO - Epoch(train) [48][400/940] lr: 6.0000e-03 eta: 7:18:50 time: 0.5108 data_time: 0.1995 memory: 13609 grad_norm: 2.7088 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4647 loss: 1.4647 2022/08/01 17:27:17 - mmengine - INFO - Epoch(train) [48][420/940] lr: 6.0000e-03 eta: 7:18:40 time: 0.5713 data_time: 0.2569 memory: 13609 grad_norm: 2.7170 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.4437 loss: 1.4437 2022/08/01 17:27:27 - mmengine - INFO - Epoch(train) [48][440/940] lr: 6.0000e-03 eta: 7:18:28 time: 0.4859 data_time: 0.1658 memory: 13609 grad_norm: 2.7390 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4855 loss: 1.4855 2022/08/01 17:27:37 - mmengine - INFO - Epoch(train) [48][460/940] lr: 6.0000e-03 eta: 7:18:17 time: 0.4957 data_time: 0.1848 memory: 13609 grad_norm: 2.7704 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4940 loss: 1.4940 2022/08/01 17:27:47 - mmengine - INFO - Epoch(train) [48][480/940] lr: 6.0000e-03 eta: 7:18:05 time: 0.4911 data_time: 0.1031 memory: 13609 grad_norm: 2.7388 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4686 loss: 1.4686 2022/08/01 17:27:57 - mmengine - INFO - Epoch(train) [48][500/940] lr: 6.0000e-03 eta: 7:17:54 time: 0.5034 data_time: 0.1623 memory: 13609 grad_norm: 2.7019 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4718 loss: 1.4718 2022/08/01 17:28:07 - mmengine - INFO - Epoch(train) [48][520/940] lr: 6.0000e-03 eta: 7:17:43 time: 0.5153 data_time: 0.0820 memory: 13609 grad_norm: 2.7587 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5072 loss: 1.5072 2022/08/01 17:28:19 - mmengine - INFO - Epoch(train) [48][540/940] lr: 6.0000e-03 eta: 7:17:33 time: 0.5653 data_time: 0.0341 memory: 13609 grad_norm: 2.7345 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4669 loss: 1.4669 2022/08/01 17:28:28 - mmengine - INFO - Epoch(train) [48][560/940] lr: 6.0000e-03 eta: 7:17:21 time: 0.4834 data_time: 0.0496 memory: 13609 grad_norm: 2.7325 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4727 loss: 1.4727 2022/08/01 17:28:39 - mmengine - INFO - Epoch(train) [48][580/940] lr: 6.0000e-03 eta: 7:17:11 time: 0.5506 data_time: 0.0336 memory: 13609 grad_norm: 2.7068 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5893 loss: 1.5893 2022/08/01 17:28:51 - mmengine - INFO - Epoch(train) [48][600/940] lr: 6.0000e-03 eta: 7:17:01 time: 0.5706 data_time: 0.0484 memory: 13609 grad_norm: 2.7916 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4166 loss: 1.4166 2022/08/01 17:29:00 - mmengine - INFO - Epoch(train) [48][620/940] lr: 6.0000e-03 eta: 7:16:49 time: 0.4785 data_time: 0.0396 memory: 13609 grad_norm: 2.7761 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4963 loss: 1.4963 2022/08/01 17:29:11 - mmengine - INFO - Epoch(train) [48][640/940] lr: 6.0000e-03 eta: 7:16:39 time: 0.5401 data_time: 0.0293 memory: 13609 grad_norm: 2.7843 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/08/01 17:29:21 - mmengine - INFO - Epoch(train) [48][660/940] lr: 6.0000e-03 eta: 7:16:28 time: 0.5250 data_time: 0.1214 memory: 13609 grad_norm: 2.7547 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4628 loss: 1.4628 2022/08/01 17:29:32 - mmengine - INFO - Epoch(train) [48][680/940] lr: 6.0000e-03 eta: 7:16:17 time: 0.5232 data_time: 0.1067 memory: 13609 grad_norm: 2.7672 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/08/01 17:29:42 - mmengine - INFO - Epoch(train) [48][700/940] lr: 6.0000e-03 eta: 7:16:06 time: 0.4954 data_time: 0.0430 memory: 13609 grad_norm: 2.7397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5660 loss: 1.5660 2022/08/01 17:29:53 - mmengine - INFO - Epoch(train) [48][720/940] lr: 6.0000e-03 eta: 7:15:56 time: 0.5571 data_time: 0.0373 memory: 13609 grad_norm: 2.7884 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6259 loss: 1.6259 2022/08/01 17:30:04 - mmengine - INFO - Epoch(train) [48][740/940] lr: 6.0000e-03 eta: 7:15:45 time: 0.5290 data_time: 0.0417 memory: 13609 grad_norm: 2.7493 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5588 loss: 1.5588 2022/08/01 17:30:14 - mmengine - INFO - Epoch(train) [48][760/940] lr: 6.0000e-03 eta: 7:15:34 time: 0.5329 data_time: 0.0283 memory: 13609 grad_norm: 2.7344 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4823 loss: 1.4823 2022/08/01 17:30:25 - mmengine - INFO - Epoch(train) [48][780/940] lr: 6.0000e-03 eta: 7:15:24 time: 0.5613 data_time: 0.0373 memory: 13609 grad_norm: 2.7870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/08/01 17:30:35 - mmengine - INFO - Epoch(train) [48][800/940] lr: 6.0000e-03 eta: 7:15:13 time: 0.4956 data_time: 0.0380 memory: 13609 grad_norm: 2.7520 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4533 loss: 1.4533 2022/08/01 17:30:46 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:30:46 - mmengine - INFO - Epoch(train) [48][820/940] lr: 6.0000e-03 eta: 7:15:02 time: 0.5249 data_time: 0.0386 memory: 13609 grad_norm: 2.7603 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3379 loss: 1.3379 2022/08/01 17:30:56 - mmengine - INFO - Epoch(train) [48][840/940] lr: 6.0000e-03 eta: 7:14:51 time: 0.5032 data_time: 0.0375 memory: 13609 grad_norm: 2.8721 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5066 loss: 1.5066 2022/08/01 17:31:07 - mmengine - INFO - Epoch(train) [48][860/940] lr: 6.0000e-03 eta: 7:14:41 time: 0.5706 data_time: 0.0481 memory: 13609 grad_norm: 2.6940 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4649 loss: 1.4649 2022/08/01 17:31:16 - mmengine - INFO - Epoch(train) [48][880/940] lr: 6.0000e-03 eta: 7:14:28 time: 0.4393 data_time: 0.0252 memory: 13609 grad_norm: 2.7326 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5023 loss: 1.5023 2022/08/01 17:31:27 - mmengine - INFO - Epoch(train) [48][900/940] lr: 6.0000e-03 eta: 7:14:18 time: 0.5516 data_time: 0.0528 memory: 13609 grad_norm: 2.7603 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5414 loss: 1.5414 2022/08/01 17:31:37 - mmengine - INFO - Epoch(train) [48][920/940] lr: 6.0000e-03 eta: 7:14:07 time: 0.5105 data_time: 0.0400 memory: 13609 grad_norm: 2.7801 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6126 loss: 1.6126 2022/08/01 17:31:47 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:31:47 - mmengine - INFO - Epoch(train) [48][940/940] lr: 6.0000e-03 eta: 7:13:55 time: 0.4659 data_time: 0.0231 memory: 13609 grad_norm: 2.8880 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.6141 loss: 1.6141 2022/08/01 17:31:47 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/01 17:33:36 - mmengine - INFO - Epoch(val) [48][20/78] eta: 0:05:08 time: 5.3230 data_time: 4.5753 memory: 19674 2022/08/01 17:34:47 - mmengine - INFO - Epoch(val) [48][40/78] eta: 0:02:16 time: 3.5890 data_time: 2.8393 memory: 19674 2022/08/01 17:36:22 - mmengine - INFO - Epoch(val) [48][60/78] eta: 0:01:25 time: 4.7497 data_time: 4.0076 memory: 19674 2022/08/01 17:37:34 - mmengine - INFO - Epoch(val) [48][78/78] acc/top1: 0.6954 acc/top5: 0.8897 acc/mean1: 0.6953 2022/08/01 17:37:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_48.pth is removed 2022/08/01 17:37:36 - mmengine - INFO - The best checkpoint with 0.6954 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/08/01 17:37:50 - mmengine - INFO - Epoch(train) [49][20/940] lr: 6.0000e-03 eta: 7:13:48 time: 0.7056 data_time: 0.4151 memory: 19674 grad_norm: 2.7225 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6106 loss: 1.6106 2022/08/01 17:37:58 - mmengine - INFO - Epoch(train) [49][40/940] lr: 6.0000e-03 eta: 7:13:35 time: 0.4336 data_time: 0.1237 memory: 13609 grad_norm: 2.7389 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5129 loss: 1.5129 2022/08/01 17:38:10 - mmengine - INFO - Epoch(train) [49][60/940] lr: 6.0000e-03 eta: 7:13:25 time: 0.5661 data_time: 0.2582 memory: 13609 grad_norm: 2.7141 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4456 loss: 1.4456 2022/08/01 17:38:19 - mmengine - INFO - Epoch(train) [49][80/940] lr: 6.0000e-03 eta: 7:13:13 time: 0.4760 data_time: 0.1463 memory: 13609 grad_norm: 2.7547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4888 loss: 1.4888 2022/08/01 17:38:32 - mmengine - INFO - Epoch(train) [49][100/940] lr: 6.0000e-03 eta: 7:13:05 time: 0.6453 data_time: 0.2194 memory: 13609 grad_norm: 2.6887 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3633 loss: 1.3633 2022/08/01 17:38:41 - mmengine - INFO - Epoch(train) [49][120/940] lr: 6.0000e-03 eta: 7:12:52 time: 0.4532 data_time: 0.0442 memory: 13609 grad_norm: 2.7388 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4406 loss: 1.4406 2022/08/01 17:38:53 - mmengine - INFO - Epoch(train) [49][140/940] lr: 6.0000e-03 eta: 7:12:43 time: 0.5959 data_time: 0.0897 memory: 13609 grad_norm: 2.7807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5534 loss: 1.5534 2022/08/01 17:39:04 - mmengine - INFO - Epoch(train) [49][160/940] lr: 6.0000e-03 eta: 7:12:32 time: 0.5207 data_time: 0.1556 memory: 13609 grad_norm: 2.7664 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4394 loss: 1.4394 2022/08/01 17:39:15 - mmengine - INFO - Epoch(train) [49][180/940] lr: 6.0000e-03 eta: 7:12:22 time: 0.5438 data_time: 0.0917 memory: 13609 grad_norm: 2.7419 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4422 loss: 1.4422 2022/08/01 17:39:25 - mmengine - INFO - Epoch(train) [49][200/940] lr: 6.0000e-03 eta: 7:12:10 time: 0.5015 data_time: 0.0283 memory: 13609 grad_norm: 2.7729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3614 loss: 1.3614 2022/08/01 17:39:36 - mmengine - INFO - Epoch(train) [49][220/940] lr: 6.0000e-03 eta: 7:12:01 time: 0.5760 data_time: 0.1163 memory: 13609 grad_norm: 2.7366 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3054 loss: 1.3054 2022/08/01 17:39:45 - mmengine - INFO - Epoch(train) [49][240/940] lr: 6.0000e-03 eta: 7:11:48 time: 0.4300 data_time: 0.0825 memory: 13609 grad_norm: 2.7248 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4417 loss: 1.4417 2022/08/01 17:39:56 - mmengine - INFO - Epoch(train) [49][260/940] lr: 6.0000e-03 eta: 7:11:38 time: 0.5515 data_time: 0.1708 memory: 13609 grad_norm: 2.7060 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5537 loss: 1.5537 2022/08/01 17:40:05 - mmengine - INFO - Epoch(train) [49][280/940] lr: 6.0000e-03 eta: 7:11:26 time: 0.4843 data_time: 0.1726 memory: 13609 grad_norm: 2.7646 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5376 loss: 1.5376 2022/08/01 17:40:17 - mmengine - INFO - Epoch(train) [49][300/940] lr: 6.0000e-03 eta: 7:11:17 time: 0.6045 data_time: 0.2993 memory: 13609 grad_norm: 2.8021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4182 loss: 1.4182 2022/08/01 17:40:27 - mmengine - INFO - Epoch(train) [49][320/940] lr: 6.0000e-03 eta: 7:11:05 time: 0.4556 data_time: 0.1548 memory: 13609 grad_norm: 2.8074 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5980 loss: 1.5980 2022/08/01 17:40:38 - mmengine - INFO - Epoch(train) [49][340/940] lr: 6.0000e-03 eta: 7:10:55 time: 0.5684 data_time: 0.2283 memory: 13609 grad_norm: 2.7986 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5216 loss: 1.5216 2022/08/01 17:40:47 - mmengine - INFO - Epoch(train) [49][360/940] lr: 6.0000e-03 eta: 7:10:43 time: 0.4684 data_time: 0.1335 memory: 13609 grad_norm: 2.8480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/08/01 17:40:59 - mmengine - INFO - Epoch(train) [49][380/940] lr: 6.0000e-03 eta: 7:10:33 time: 0.5628 data_time: 0.2640 memory: 13609 grad_norm: 2.7978 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4429 loss: 1.4429 2022/08/01 17:41:09 - mmengine - INFO - Epoch(train) [49][400/940] lr: 6.0000e-03 eta: 7:10:22 time: 0.5167 data_time: 0.1952 memory: 13609 grad_norm: 2.7757 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5120 loss: 1.5120 2022/08/01 17:41:20 - mmengine - INFO - Epoch(train) [49][420/940] lr: 6.0000e-03 eta: 7:10:11 time: 0.5359 data_time: 0.2335 memory: 13609 grad_norm: 2.7581 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5508 loss: 1.5508 2022/08/01 17:41:30 - mmengine - INFO - Epoch(train) [49][440/940] lr: 6.0000e-03 eta: 7:10:00 time: 0.5247 data_time: 0.1839 memory: 13609 grad_norm: 2.7295 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4853 loss: 1.4853 2022/08/01 17:41:42 - mmengine - INFO - Epoch(train) [49][460/940] lr: 6.0000e-03 eta: 7:09:51 time: 0.5799 data_time: 0.2668 memory: 13609 grad_norm: 2.7863 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4482 loss: 1.4482 2022/08/01 17:41:51 - mmengine - INFO - Epoch(train) [49][480/940] lr: 6.0000e-03 eta: 7:09:38 time: 0.4511 data_time: 0.1188 memory: 13609 grad_norm: 2.8185 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5422 loss: 1.5422 2022/08/01 17:42:03 - mmengine - INFO - Epoch(train) [49][500/940] lr: 6.0000e-03 eta: 7:09:29 time: 0.5928 data_time: 0.2851 memory: 13609 grad_norm: 2.7900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4271 loss: 1.4271 2022/08/01 17:42:12 - mmengine - INFO - Epoch(train) [49][520/940] lr: 6.0000e-03 eta: 7:09:17 time: 0.4572 data_time: 0.1373 memory: 13609 grad_norm: 2.8313 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6369 loss: 1.6369 2022/08/01 17:42:24 - mmengine - INFO - Epoch(train) [49][540/940] lr: 6.0000e-03 eta: 7:09:07 time: 0.6052 data_time: 0.2856 memory: 13609 grad_norm: 2.7954 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5249 loss: 1.5249 2022/08/01 17:42:33 - mmengine - INFO - Epoch(train) [49][560/940] lr: 6.0000e-03 eta: 7:08:55 time: 0.4595 data_time: 0.1428 memory: 13609 grad_norm: 2.8067 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4925 loss: 1.4925 2022/08/01 17:42:45 - mmengine - INFO - Epoch(train) [49][580/940] lr: 6.0000e-03 eta: 7:08:45 time: 0.5690 data_time: 0.2519 memory: 13609 grad_norm: 2.8324 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4841 loss: 1.4841 2022/08/01 17:42:55 - mmengine - INFO - Epoch(train) [49][600/940] lr: 6.0000e-03 eta: 7:08:35 time: 0.5368 data_time: 0.2081 memory: 13609 grad_norm: 2.7868 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3820 loss: 1.3820 2022/08/01 17:43:06 - mmengine - INFO - Epoch(train) [49][620/940] lr: 6.0000e-03 eta: 7:08:24 time: 0.5327 data_time: 0.2284 memory: 13609 grad_norm: 2.7674 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3929 loss: 1.3929 2022/08/01 17:43:16 - mmengine - INFO - Epoch(train) [49][640/940] lr: 6.0000e-03 eta: 7:08:13 time: 0.4867 data_time: 0.1797 memory: 13609 grad_norm: 2.7974 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5485 loss: 1.5485 2022/08/01 17:43:26 - mmengine - INFO - Epoch(train) [49][660/940] lr: 6.0000e-03 eta: 7:08:02 time: 0.5216 data_time: 0.2159 memory: 13609 grad_norm: 2.7541 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/08/01 17:43:36 - mmengine - INFO - Epoch(train) [49][680/940] lr: 6.0000e-03 eta: 7:07:51 time: 0.5122 data_time: 0.1739 memory: 13609 grad_norm: 2.8140 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.4942 loss: 1.4942 2022/08/01 17:43:47 - mmengine - INFO - Epoch(train) [49][700/940] lr: 6.0000e-03 eta: 7:07:40 time: 0.5434 data_time: 0.2215 memory: 13609 grad_norm: 2.8353 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5488 loss: 1.5488 2022/08/01 17:43:57 - mmengine - INFO - Epoch(train) [49][720/940] lr: 6.0000e-03 eta: 7:07:28 time: 0.4696 data_time: 0.1169 memory: 13609 grad_norm: 2.7671 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5089 loss: 1.5089 2022/08/01 17:44:08 - mmengine - INFO - Epoch(train) [49][740/940] lr: 6.0000e-03 eta: 7:07:18 time: 0.5715 data_time: 0.1795 memory: 13609 grad_norm: 2.8061 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3407 loss: 1.3407 2022/08/01 17:44:18 - mmengine - INFO - Epoch(train) [49][760/940] lr: 6.0000e-03 eta: 7:07:07 time: 0.5036 data_time: 0.1502 memory: 13609 grad_norm: 2.7902 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4353 loss: 1.4353 2022/08/01 17:44:30 - mmengine - INFO - Epoch(train) [49][780/940] lr: 6.0000e-03 eta: 7:06:58 time: 0.5859 data_time: 0.1364 memory: 13609 grad_norm: 2.8362 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4832 loss: 1.4832 2022/08/01 17:44:39 - mmengine - INFO - Epoch(train) [49][800/940] lr: 6.0000e-03 eta: 7:06:46 time: 0.4675 data_time: 0.0325 memory: 13609 grad_norm: 2.8062 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5623 loss: 1.5623 2022/08/01 17:44:50 - mmengine - INFO - Epoch(train) [49][820/940] lr: 6.0000e-03 eta: 7:06:35 time: 0.5406 data_time: 0.0558 memory: 13609 grad_norm: 2.7756 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.4371 loss: 1.4371 2022/08/01 17:44:59 - mmengine - INFO - Epoch(train) [49][840/940] lr: 6.0000e-03 eta: 7:06:23 time: 0.4641 data_time: 0.0501 memory: 13609 grad_norm: 2.7856 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4517 loss: 1.4517 2022/08/01 17:45:12 - mmengine - INFO - Epoch(train) [49][860/940] lr: 6.0000e-03 eta: 7:06:14 time: 0.6147 data_time: 0.0370 memory: 13609 grad_norm: 2.8149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4238 loss: 1.4238 2022/08/01 17:45:21 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:45:21 - mmengine - INFO - Epoch(train) [49][880/940] lr: 6.0000e-03 eta: 7:06:02 time: 0.4476 data_time: 0.0323 memory: 13609 grad_norm: 2.8612 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4326 loss: 1.4326 2022/08/01 17:45:32 - mmengine - INFO - Epoch(train) [49][900/940] lr: 6.0000e-03 eta: 7:05:52 time: 0.5843 data_time: 0.0367 memory: 13609 grad_norm: 2.8747 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5381 loss: 1.5381 2022/08/01 17:45:42 - mmengine - INFO - Epoch(train) [49][920/940] lr: 6.0000e-03 eta: 7:05:40 time: 0.4697 data_time: 0.0342 memory: 13609 grad_norm: 2.8648 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5716 loss: 1.5716 2022/08/01 17:45:52 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 17:45:52 - mmengine - INFO - Epoch(train) [49][940/940] lr: 6.0000e-03 eta: 7:05:29 time: 0.4956 data_time: 0.0222 memory: 13609 grad_norm: 2.9922 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.3883 loss: 1.3883 2022/08/01 17:47:37 - mmengine - INFO - Epoch(val) [49][20/78] eta: 0:05:06 time: 5.2770 data_time: 4.5154 memory: 19674 2022/08/01 17:48:49 - mmengine - INFO - Epoch(val) [49][40/78] eta: 0:02:16 time: 3.5939 data_time: 2.8410 memory: 19674 2022/08/01 17:50:23 - mmengine - INFO - Epoch(val) [49][60/78] eta: 0:01:24 time: 4.6861 data_time: 3.9473 memory: 19674 2022/08/01 17:52:11 - mmengine - INFO - Epoch(val) [49][78/78] acc/top1: 0.6959 acc/top5: 0.8919 acc/mean1: 0.6958 2022/08/01 17:52:11 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_49.pth is removed 2022/08/01 17:52:12 - mmengine - INFO - The best checkpoint with 0.6959 acc/top1 at 50 epoch is saved to best_acc/top1_epoch_50.pth. 2022/08/01 17:52:27 - mmengine - INFO - Epoch(train) [50][20/940] lr: 6.0000e-03 eta: 7:05:22 time: 0.7140 data_time: 0.3867 memory: 19674 grad_norm: 2.8644 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4932 loss: 1.4932 2022/08/01 17:52:36 - mmengine - INFO - Epoch(train) [50][40/940] lr: 6.0000e-03 eta: 7:05:09 time: 0.4482 data_time: 0.1620 memory: 13609 grad_norm: 2.8197 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5035 loss: 1.5035 2022/08/01 17:52:47 - mmengine - INFO - Epoch(train) [50][60/940] lr: 6.0000e-03 eta: 7:05:00 time: 0.5969 data_time: 0.1899 memory: 13609 grad_norm: 2.8685 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.4997 loss: 1.4997 2022/08/01 17:52:58 - mmengine - INFO - Epoch(train) [50][80/940] lr: 6.0000e-03 eta: 7:04:49 time: 0.5184 data_time: 0.0519 memory: 13609 grad_norm: 2.8525 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5794 loss: 1.5794 2022/08/01 17:53:09 - mmengine - INFO - Epoch(train) [50][100/940] lr: 6.0000e-03 eta: 7:04:39 time: 0.5405 data_time: 0.0751 memory: 13609 grad_norm: 2.8088 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4139 loss: 1.4139 2022/08/01 17:53:19 - mmengine - INFO - Epoch(train) [50][120/940] lr: 6.0000e-03 eta: 7:04:28 time: 0.5276 data_time: 0.1870 memory: 13609 grad_norm: 2.7334 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5805 loss: 1.5805 2022/08/01 17:53:31 - mmengine - INFO - Epoch(train) [50][140/940] lr: 6.0000e-03 eta: 7:04:18 time: 0.5701 data_time: 0.2610 memory: 13609 grad_norm: 2.8409 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5439 loss: 1.5439 2022/08/01 17:53:40 - mmengine - INFO - Epoch(train) [50][160/940] lr: 6.0000e-03 eta: 7:04:06 time: 0.4584 data_time: 0.1522 memory: 13609 grad_norm: 2.7433 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4371 loss: 1.4371 2022/08/01 17:53:52 - mmengine - INFO - Epoch(train) [50][180/940] lr: 6.0000e-03 eta: 7:03:57 time: 0.6051 data_time: 0.3027 memory: 13609 grad_norm: 2.8017 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4964 loss: 1.4964 2022/08/01 17:54:00 - mmengine - INFO - Epoch(train) [50][200/940] lr: 6.0000e-03 eta: 7:03:44 time: 0.4133 data_time: 0.0834 memory: 13609 grad_norm: 2.8172 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3788 loss: 1.3788 2022/08/01 17:54:11 - mmengine - INFO - Epoch(train) [50][220/940] lr: 6.0000e-03 eta: 7:03:33 time: 0.5577 data_time: 0.2052 memory: 13609 grad_norm: 2.8177 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5406 loss: 1.5406 2022/08/01 17:54:21 - mmengine - INFO - Epoch(train) [50][240/940] lr: 6.0000e-03 eta: 7:03:22 time: 0.4975 data_time: 0.0966 memory: 13609 grad_norm: 2.8390 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3517 loss: 1.3517 2022/08/01 17:54:32 - mmengine - INFO - Epoch(train) [50][260/940] lr: 6.0000e-03 eta: 7:03:12 time: 0.5571 data_time: 0.1003 memory: 13609 grad_norm: 2.7647 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4922 loss: 1.4922 2022/08/01 17:54:42 - mmengine - INFO - Epoch(train) [50][280/940] lr: 6.0000e-03 eta: 7:03:00 time: 0.4872 data_time: 0.0626 memory: 13609 grad_norm: 2.8017 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5353 loss: 1.5353 2022/08/01 17:54:54 - mmengine - INFO - Epoch(train) [50][300/940] lr: 6.0000e-03 eta: 7:02:51 time: 0.5856 data_time: 0.1077 memory: 13609 grad_norm: 2.8754 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4684 loss: 1.4684 2022/08/01 17:55:04 - mmengine - INFO - Epoch(train) [50][320/940] lr: 6.0000e-03 eta: 7:02:40 time: 0.5195 data_time: 0.1566 memory: 13609 grad_norm: 2.8526 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5778 loss: 1.5778 2022/08/01 17:55:14 - mmengine - INFO - Epoch(train) [50][340/940] lr: 6.0000e-03 eta: 7:02:28 time: 0.4877 data_time: 0.1185 memory: 13609 grad_norm: 2.8353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5339 loss: 1.5339 2022/08/01 17:55:24 - mmengine - INFO - Epoch(train) [50][360/940] lr: 6.0000e-03 eta: 7:02:17 time: 0.4989 data_time: 0.1849 memory: 13609 grad_norm: 2.7914 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5734 loss: 1.5734 2022/08/01 17:55:36 - mmengine - INFO - Epoch(train) [50][380/940] lr: 6.0000e-03 eta: 7:02:07 time: 0.5804 data_time: 0.1412 memory: 13609 grad_norm: 2.8747 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.4914 loss: 1.4914 2022/08/01 17:55:47 - mmengine - INFO - Epoch(train) [50][400/940] lr: 6.0000e-03 eta: 7:01:57 time: 0.5428 data_time: 0.0342 memory: 13609 grad_norm: 2.8237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4387 loss: 1.4387 2022/08/01 17:55:57 - mmengine - INFO - Epoch(train) [50][420/940] lr: 6.0000e-03 eta: 7:01:46 time: 0.5287 data_time: 0.0318 memory: 13609 grad_norm: 2.8039 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4410 loss: 1.4410 2022/08/01 17:56:06 - mmengine - INFO - Epoch(train) [50][440/940] lr: 6.0000e-03 eta: 7:01:34 time: 0.4681 data_time: 0.0397 memory: 13609 grad_norm: 2.8576 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5134 loss: 1.5134 2022/08/01 17:56:18 - mmengine - INFO - Epoch(train) [50][460/940] lr: 6.0000e-03 eta: 7:01:25 time: 0.5983 data_time: 0.0339 memory: 13609 grad_norm: 2.8405 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3844 loss: 1.3844 2022/08/01 17:56:28 - mmengine - INFO - Epoch(train) [50][480/940] lr: 6.0000e-03 eta: 7:01:13 time: 0.4939 data_time: 0.0371 memory: 13609 grad_norm: 2.8552 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5617 loss: 1.5617 2022/08/01 17:56:38 - mmengine - INFO - Epoch(train) [50][500/940] lr: 6.0000e-03 eta: 7:01:02 time: 0.4809 data_time: 0.0447 memory: 13609 grad_norm: 2.8609 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4661 loss: 1.4661 2022/08/01 17:56:49 - mmengine - INFO - Epoch(train) [50][520/940] lr: 6.0000e-03 eta: 7:00:51 time: 0.5328 data_time: 0.0393 memory: 13609 grad_norm: 2.8082 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3733 loss: 1.3733 2022/08/01 17:57:00 - mmengine - INFO - Epoch(train) [50][540/940] lr: 6.0000e-03 eta: 7:00:41 time: 0.5750 data_time: 0.0364 memory: 13609 grad_norm: 2.8004 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4434 loss: 1.4434 2022/08/01 17:57:10 - mmengine - INFO - Epoch(train) [50][560/940] lr: 6.0000e-03 eta: 7:00:30 time: 0.4916 data_time: 0.0351 memory: 13609 grad_norm: 2.7691 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3850 loss: 1.3850 2022/08/01 17:57:21 - mmengine - INFO - Epoch(train) [50][580/940] lr: 6.0000e-03 eta: 7:00:19 time: 0.5432 data_time: 0.0355 memory: 13609 grad_norm: 2.8421 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5618 loss: 1.5618 2022/08/01 17:57:31 - mmengine - INFO - Epoch(train) [50][600/940] lr: 6.0000e-03 eta: 7:00:08 time: 0.4881 data_time: 0.0333 memory: 13609 grad_norm: 2.8066 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4403 loss: 1.4403 2022/08/01 17:57:41 - mmengine - INFO - Epoch(train) [50][620/940] lr: 6.0000e-03 eta: 6:59:57 time: 0.5340 data_time: 0.0459 memory: 13609 grad_norm: 2.7830 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4042 loss: 1.4042 2022/08/01 17:57:52 - mmengine - INFO - Epoch(train) [50][640/940] lr: 6.0000e-03 eta: 6:59:46 time: 0.5282 data_time: 0.0299 memory: 13609 grad_norm: 2.8436 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5857 loss: 1.5857 2022/08/01 17:58:03 - mmengine - INFO - Epoch(train) [50][660/940] lr: 6.0000e-03 eta: 6:59:36 time: 0.5382 data_time: 0.0374 memory: 13609 grad_norm: 2.7676 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3863 loss: 1.3863 2022/08/01 17:58:13 - mmengine - INFO - Epoch(train) [50][680/940] lr: 6.0000e-03 eta: 6:59:25 time: 0.5353 data_time: 0.0302 memory: 13609 grad_norm: 2.8282 top1_acc: 0.6875 top5_acc: 0.7188 loss_cls: 1.5054 loss: 1.5054 2022/08/01 17:58:23 - mmengine - INFO - Epoch(train) [50][700/940] lr: 6.0000e-03 eta: 6:59:14 time: 0.4908 data_time: 0.0358 memory: 13609 grad_norm: 2.8585 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4664 loss: 1.4664 2022/08/01 17:58:35 - mmengine - INFO - Epoch(train) [50][720/940] lr: 6.0000e-03 eta: 6:59:04 time: 0.5776 data_time: 0.0299 memory: 13609 grad_norm: 2.8766 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6216 loss: 1.6216 2022/08/01 17:58:44 - mmengine - INFO - Epoch(train) [50][740/940] lr: 6.0000e-03 eta: 6:58:52 time: 0.4725 data_time: 0.0360 memory: 13609 grad_norm: 2.8452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4592 loss: 1.4592 2022/08/01 17:58:55 - mmengine - INFO - Epoch(train) [50][760/940] lr: 6.0000e-03 eta: 6:58:42 time: 0.5584 data_time: 0.0406 memory: 13609 grad_norm: 2.8307 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.5797 loss: 1.5797 2022/08/01 17:59:05 - mmengine - INFO - Epoch(train) [50][780/940] lr: 6.0000e-03 eta: 6:58:30 time: 0.4855 data_time: 0.0465 memory: 13609 grad_norm: 2.8744 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4566 loss: 1.4566 2022/08/01 17:59:18 - mmengine - INFO - Epoch(train) [50][800/940] lr: 6.0000e-03 eta: 6:58:22 time: 0.6244 data_time: 0.0325 memory: 13609 grad_norm: 2.8713 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5818 loss: 1.5818 2022/08/01 17:59:27 - mmengine - INFO - Epoch(train) [50][820/940] lr: 6.0000e-03 eta: 6:58:10 time: 0.4618 data_time: 0.0301 memory: 13609 grad_norm: 2.8136 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3469 loss: 1.3469 2022/08/01 17:59:38 - mmengine - INFO - Epoch(train) [50][840/940] lr: 6.0000e-03 eta: 6:57:59 time: 0.5571 data_time: 0.0336 memory: 13609 grad_norm: 2.8466 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3621 loss: 1.3621 2022/08/01 17:59:53 - mmengine - INFO - Epoch(train) [50][860/940] lr: 6.0000e-03 eta: 6:57:53 time: 0.7370 data_time: 0.0264 memory: 13609 grad_norm: 2.8554 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5064 loss: 1.5064 2022/08/01 18:00:05 - mmengine - INFO - Epoch(train) [50][880/940] lr: 6.0000e-03 eta: 6:57:44 time: 0.6252 data_time: 0.0454 memory: 13609 grad_norm: 2.8657 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/08/01 18:00:14 - mmengine - INFO - Epoch(train) [50][900/940] lr: 6.0000e-03 eta: 6:57:32 time: 0.4498 data_time: 0.0341 memory: 13609 grad_norm: 2.8702 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5211 loss: 1.5211 2022/08/01 18:00:23 - mmengine - INFO - Epoch(train) [50][920/940] lr: 6.0000e-03 eta: 6:57:20 time: 0.4559 data_time: 0.0382 memory: 13609 grad_norm: 2.8923 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.5762 loss: 1.5762 2022/08/01 18:00:33 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:00:33 - mmengine - INFO - Epoch(train) [50][940/940] lr: 6.0000e-03 eta: 6:57:08 time: 0.4720 data_time: 0.0497 memory: 13609 grad_norm: 3.0392 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5909 loss: 1.5909 2022/08/01 18:02:18 - mmengine - INFO - Epoch(val) [50][20/78] eta: 0:05:06 time: 5.2804 data_time: 4.5133 memory: 19674 2022/08/01 18:03:30 - mmengine - INFO - Epoch(val) [50][40/78] eta: 0:02:16 time: 3.6042 data_time: 2.8535 memory: 19674 2022/08/01 18:05:05 - mmengine - INFO - Epoch(val) [50][60/78] eta: 0:01:25 time: 4.7463 data_time: 4.0011 memory: 19674 2022/08/01 18:06:19 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.6963 acc/top5: 0.8909 acc/mean1: 0.6961 2022/08/01 18:06:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_50.pth is removed 2022/08/01 18:06:20 - mmengine - INFO - The best checkpoint with 0.6963 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/08/01 18:06:35 - mmengine - INFO - Epoch(train) [51][20/940] lr: 6.0000e-03 eta: 6:57:01 time: 0.7155 data_time: 0.4399 memory: 19674 grad_norm: 2.8180 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3209 loss: 1.3209 2022/08/01 18:06:45 - mmengine - INFO - Epoch(train) [51][40/940] lr: 6.0000e-03 eta: 6:56:49 time: 0.5013 data_time: 0.2160 memory: 13609 grad_norm: 2.8564 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4691 loss: 1.4691 2022/08/01 18:06:56 - mmengine - INFO - Epoch(train) [51][60/940] lr: 6.0000e-03 eta: 6:56:39 time: 0.5598 data_time: 0.2528 memory: 13609 grad_norm: 2.8693 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/08/01 18:07:05 - mmengine - INFO - Epoch(train) [51][80/940] lr: 6.0000e-03 eta: 6:56:27 time: 0.4504 data_time: 0.1570 memory: 13609 grad_norm: 2.8928 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4712 loss: 1.4712 2022/08/01 18:07:18 - mmengine - INFO - Epoch(train) [51][100/940] lr: 6.0000e-03 eta: 6:56:18 time: 0.6233 data_time: 0.2875 memory: 13609 grad_norm: 2.8659 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3502 loss: 1.3502 2022/08/01 18:07:26 - mmengine - INFO - Epoch(train) [51][120/940] lr: 6.0000e-03 eta: 6:56:05 time: 0.4275 data_time: 0.1180 memory: 13609 grad_norm: 2.8550 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5931 loss: 1.5931 2022/08/01 18:07:39 - mmengine - INFO - Epoch(train) [51][140/940] lr: 6.0000e-03 eta: 6:55:57 time: 0.6273 data_time: 0.2897 memory: 13609 grad_norm: 2.8283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/08/01 18:07:47 - mmengine - INFO - Epoch(train) [51][160/940] lr: 6.0000e-03 eta: 6:55:44 time: 0.4298 data_time: 0.1401 memory: 13609 grad_norm: 2.8798 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4180 loss: 1.4180 2022/08/01 18:07:59 - mmengine - INFO - Epoch(train) [51][180/940] lr: 6.0000e-03 eta: 6:55:34 time: 0.5762 data_time: 0.2645 memory: 13609 grad_norm: 2.8913 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5303 loss: 1.5303 2022/08/01 18:08:09 - mmengine - INFO - Epoch(train) [51][200/940] lr: 6.0000e-03 eta: 6:55:23 time: 0.4901 data_time: 0.1925 memory: 13609 grad_norm: 2.8469 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.3786 loss: 1.3786 2022/08/01 18:08:20 - mmengine - INFO - Epoch(train) [51][220/940] lr: 6.0000e-03 eta: 6:55:13 time: 0.5780 data_time: 0.2703 memory: 13609 grad_norm: 2.9069 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4129 loss: 1.4129 2022/08/01 18:08:30 - mmengine - INFO - Epoch(train) [51][240/940] lr: 6.0000e-03 eta: 6:55:02 time: 0.5066 data_time: 0.1779 memory: 13609 grad_norm: 2.8858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5374 loss: 1.5374 2022/08/01 18:08:41 - mmengine - INFO - Epoch(train) [51][260/940] lr: 6.0000e-03 eta: 6:54:51 time: 0.5407 data_time: 0.2090 memory: 13609 grad_norm: 2.9377 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3942 loss: 1.3942 2022/08/01 18:08:51 - mmengine - INFO - Epoch(train) [51][280/940] lr: 6.0000e-03 eta: 6:54:40 time: 0.5130 data_time: 0.2149 memory: 13609 grad_norm: 2.8627 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.5087 loss: 1.5087 2022/08/01 18:09:02 - mmengine - INFO - Epoch(train) [51][300/940] lr: 6.0000e-03 eta: 6:54:30 time: 0.5372 data_time: 0.0839 memory: 13609 grad_norm: 2.9083 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4640 loss: 1.4640 2022/08/01 18:09:11 - mmengine - INFO - Epoch(train) [51][320/940] lr: 6.0000e-03 eta: 6:54:18 time: 0.4696 data_time: 0.0722 memory: 13609 grad_norm: 2.8334 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3711 loss: 1.3711 2022/08/01 18:09:23 - mmengine - INFO - Epoch(train) [51][340/940] lr: 6.0000e-03 eta: 6:54:08 time: 0.5766 data_time: 0.0402 memory: 13609 grad_norm: 2.8681 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5252 loss: 1.5252 2022/08/01 18:09:33 - mmengine - INFO - Epoch(train) [51][360/940] lr: 6.0000e-03 eta: 6:53:57 time: 0.4870 data_time: 0.0320 memory: 13609 grad_norm: 2.8730 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/01 18:09:44 - mmengine - INFO - Epoch(train) [51][380/940] lr: 6.0000e-03 eta: 6:53:47 time: 0.5803 data_time: 0.0317 memory: 13609 grad_norm: 2.8853 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4870 loss: 1.4870 2022/08/01 18:09:53 - mmengine - INFO - Epoch(train) [51][400/940] lr: 6.0000e-03 eta: 6:53:34 time: 0.4479 data_time: 0.0374 memory: 13609 grad_norm: 2.9126 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4344 loss: 1.4344 2022/08/01 18:10:05 - mmengine - INFO - Epoch(train) [51][420/940] lr: 6.0000e-03 eta: 6:53:25 time: 0.5839 data_time: 0.0327 memory: 13609 grad_norm: 2.9046 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4276 loss: 1.4276 2022/08/01 18:10:14 - mmengine - INFO - Epoch(train) [51][440/940] lr: 6.0000e-03 eta: 6:53:13 time: 0.4564 data_time: 0.0482 memory: 13609 grad_norm: 2.9254 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3959 loss: 1.3959 2022/08/01 18:10:26 - mmengine - INFO - Epoch(train) [51][460/940] lr: 6.0000e-03 eta: 6:53:03 time: 0.6036 data_time: 0.0530 memory: 13609 grad_norm: 2.8411 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3585 loss: 1.3585 2022/08/01 18:10:36 - mmengine - INFO - Epoch(train) [51][480/940] lr: 6.0000e-03 eta: 6:52:52 time: 0.4888 data_time: 0.0327 memory: 13609 grad_norm: 2.8664 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4480 loss: 1.4480 2022/08/01 18:10:47 - mmengine - INFO - Epoch(train) [51][500/940] lr: 6.0000e-03 eta: 6:52:42 time: 0.5682 data_time: 0.0410 memory: 13609 grad_norm: 2.8949 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4038 loss: 1.4038 2022/08/01 18:10:57 - mmengine - INFO - Epoch(train) [51][520/940] lr: 6.0000e-03 eta: 6:52:31 time: 0.4982 data_time: 0.0394 memory: 13609 grad_norm: 2.9104 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3943 loss: 1.3943 2022/08/01 18:11:08 - mmengine - INFO - Epoch(train) [51][540/940] lr: 6.0000e-03 eta: 6:52:20 time: 0.5242 data_time: 0.0314 memory: 13609 grad_norm: 2.9016 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5218 loss: 1.5218 2022/08/01 18:11:19 - mmengine - INFO - Epoch(train) [51][560/940] lr: 6.0000e-03 eta: 6:52:09 time: 0.5364 data_time: 0.0347 memory: 13609 grad_norm: 2.9383 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4267 loss: 1.4267 2022/08/01 18:11:29 - mmengine - INFO - Epoch(train) [51][580/940] lr: 6.0000e-03 eta: 6:51:58 time: 0.5054 data_time: 0.0344 memory: 13609 grad_norm: 2.8777 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4301 loss: 1.4301 2022/08/01 18:11:39 - mmengine - INFO - Epoch(train) [51][600/940] lr: 6.0000e-03 eta: 6:51:47 time: 0.5272 data_time: 0.0376 memory: 13609 grad_norm: 2.9203 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4825 loss: 1.4825 2022/08/01 18:11:49 - mmengine - INFO - Epoch(train) [51][620/940] lr: 6.0000e-03 eta: 6:51:36 time: 0.4972 data_time: 0.0336 memory: 13609 grad_norm: 2.8760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4156 loss: 1.4156 2022/08/01 18:12:00 - mmengine - INFO - Epoch(train) [51][640/940] lr: 6.0000e-03 eta: 6:51:25 time: 0.5287 data_time: 0.0335 memory: 13609 grad_norm: 2.9119 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6477 loss: 1.6477 2022/08/01 18:12:11 - mmengine - INFO - Epoch(train) [51][660/940] lr: 6.0000e-03 eta: 6:51:15 time: 0.5374 data_time: 0.0354 memory: 13609 grad_norm: 2.9461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5316 loss: 1.5316 2022/08/01 18:12:21 - mmengine - INFO - Epoch(train) [51][680/940] lr: 6.0000e-03 eta: 6:51:04 time: 0.5045 data_time: 0.0342 memory: 13609 grad_norm: 2.9161 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5699 loss: 1.5699 2022/08/01 18:12:31 - mmengine - INFO - Epoch(train) [51][700/940] lr: 6.0000e-03 eta: 6:50:53 time: 0.5230 data_time: 0.0382 memory: 13609 grad_norm: 2.8840 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.3995 loss: 1.3995 2022/08/01 18:12:42 - mmengine - INFO - Epoch(train) [51][720/940] lr: 6.0000e-03 eta: 6:50:42 time: 0.5548 data_time: 0.0364 memory: 13609 grad_norm: 2.9271 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5056 loss: 1.5056 2022/08/01 18:12:52 - mmengine - INFO - Epoch(train) [51][740/940] lr: 6.0000e-03 eta: 6:50:31 time: 0.4894 data_time: 0.0369 memory: 13609 grad_norm: 2.9030 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.5264 loss: 1.5264 2022/08/01 18:13:03 - mmengine - INFO - Epoch(train) [51][760/940] lr: 6.0000e-03 eta: 6:50:21 time: 0.5759 data_time: 0.0330 memory: 13609 grad_norm: 2.8876 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5083 loss: 1.5083 2022/08/01 18:13:13 - mmengine - INFO - Epoch(train) [51][780/940] lr: 6.0000e-03 eta: 6:50:10 time: 0.4856 data_time: 0.0331 memory: 13609 grad_norm: 2.8470 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4275 loss: 1.4275 2022/08/01 18:13:24 - mmengine - INFO - Epoch(train) [51][800/940] lr: 6.0000e-03 eta: 6:49:59 time: 0.5180 data_time: 0.0336 memory: 13609 grad_norm: 2.9754 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4245 loss: 1.4245 2022/08/01 18:13:34 - mmengine - INFO - Epoch(train) [51][820/940] lr: 6.0000e-03 eta: 6:49:47 time: 0.5019 data_time: 0.0502 memory: 13609 grad_norm: 2.8648 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4488 loss: 1.4488 2022/08/01 18:13:44 - mmengine - INFO - Epoch(train) [51][840/940] lr: 6.0000e-03 eta: 6:49:37 time: 0.5369 data_time: 0.0334 memory: 13609 grad_norm: 2.9150 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4646 loss: 1.4646 2022/08/01 18:13:55 - mmengine - INFO - Epoch(train) [51][860/940] lr: 6.0000e-03 eta: 6:49:26 time: 0.5208 data_time: 0.0388 memory: 13609 grad_norm: 2.8971 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3258 loss: 1.3258 2022/08/01 18:14:06 - mmengine - INFO - Epoch(train) [51][880/940] lr: 6.0000e-03 eta: 6:49:16 time: 0.5791 data_time: 0.0311 memory: 13609 grad_norm: 2.8694 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4312 loss: 1.4312 2022/08/01 18:14:16 - mmengine - INFO - Epoch(train) [51][900/940] lr: 6.0000e-03 eta: 6:49:05 time: 0.4816 data_time: 0.0511 memory: 13609 grad_norm: 2.9828 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5271 loss: 1.5271 2022/08/01 18:14:27 - mmengine - INFO - Epoch(train) [51][920/940] lr: 6.0000e-03 eta: 6:48:54 time: 0.5521 data_time: 0.0317 memory: 13609 grad_norm: 2.9239 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.5604 loss: 1.5604 2022/08/01 18:14:36 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:14:36 - mmengine - INFO - Epoch(train) [51][940/940] lr: 6.0000e-03 eta: 6:48:42 time: 0.4324 data_time: 0.0261 memory: 13609 grad_norm: 3.1163 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.5497 loss: 1.5497 2022/08/01 18:14:36 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/01 18:16:23 - mmengine - INFO - Epoch(val) [51][20/78] eta: 0:05:05 time: 5.2671 data_time: 4.5136 memory: 19674 2022/08/01 18:17:34 - mmengine - INFO - Epoch(val) [51][40/78] eta: 0:02:16 time: 3.5864 data_time: 2.8369 memory: 19674 2022/08/01 18:19:11 - mmengine - INFO - Epoch(val) [51][60/78] eta: 0:01:26 time: 4.8182 data_time: 4.0759 memory: 19674 2022/08/01 18:20:24 - mmengine - INFO - Epoch(val) [51][78/78] acc/top1: 0.6962 acc/top5: 0.8917 acc/mean1: 0.6961 2022/08/01 18:20:38 - mmengine - INFO - Epoch(train) [52][20/940] lr: 6.0000e-03 eta: 6:48:35 time: 0.7222 data_time: 0.2143 memory: 19674 grad_norm: 2.9241 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4842 loss: 1.4842 2022/08/01 18:20:48 - mmengine - INFO - Epoch(train) [52][40/940] lr: 6.0000e-03 eta: 6:48:23 time: 0.4815 data_time: 0.0360 memory: 13609 grad_norm: 2.8696 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5455 loss: 1.5455 2022/08/01 18:21:00 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:21:00 - mmengine - INFO - Epoch(train) [52][60/940] lr: 6.0000e-03 eta: 6:48:14 time: 0.5848 data_time: 0.0401 memory: 13609 grad_norm: 2.8721 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3317 loss: 1.3317 2022/08/01 18:21:09 - mmengine - INFO - Epoch(train) [52][80/940] lr: 6.0000e-03 eta: 6:48:02 time: 0.4708 data_time: 0.0295 memory: 13609 grad_norm: 2.8735 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/08/01 18:21:22 - mmengine - INFO - Epoch(train) [52][100/940] lr: 6.0000e-03 eta: 6:47:53 time: 0.6350 data_time: 0.0514 memory: 13609 grad_norm: 2.8950 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.4018 loss: 1.4018 2022/08/01 18:21:32 - mmengine - INFO - Epoch(train) [52][120/940] lr: 6.0000e-03 eta: 6:47:42 time: 0.4944 data_time: 0.0325 memory: 13609 grad_norm: 2.8700 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5198 loss: 1.5198 2022/08/01 18:21:41 - mmengine - INFO - Epoch(train) [52][140/940] lr: 6.0000e-03 eta: 6:47:30 time: 0.4973 data_time: 0.0395 memory: 13609 grad_norm: 2.8553 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2976 loss: 1.2976 2022/08/01 18:21:52 - mmengine - INFO - Epoch(train) [52][160/940] lr: 6.0000e-03 eta: 6:47:20 time: 0.5251 data_time: 0.0396 memory: 13609 grad_norm: 2.8634 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4506 loss: 1.4506 2022/08/01 18:22:03 - mmengine - INFO - Epoch(train) [52][180/940] lr: 6.0000e-03 eta: 6:47:09 time: 0.5562 data_time: 0.0434 memory: 13609 grad_norm: 2.9204 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3805 loss: 1.3805 2022/08/01 18:22:13 - mmengine - INFO - Epoch(train) [52][200/940] lr: 6.0000e-03 eta: 6:46:58 time: 0.5063 data_time: 0.0666 memory: 13609 grad_norm: 2.9254 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4541 loss: 1.4541 2022/08/01 18:22:23 - mmengine - INFO - Epoch(train) [52][220/940] lr: 6.0000e-03 eta: 6:46:47 time: 0.5003 data_time: 0.0592 memory: 13609 grad_norm: 2.8931 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2554 loss: 1.2554 2022/08/01 18:22:34 - mmengine - INFO - Epoch(train) [52][240/940] lr: 6.0000e-03 eta: 6:46:37 time: 0.5555 data_time: 0.0475 memory: 13609 grad_norm: 2.8719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4215 loss: 1.4215 2022/08/01 18:22:44 - mmengine - INFO - Epoch(train) [52][260/940] lr: 6.0000e-03 eta: 6:46:25 time: 0.4863 data_time: 0.0444 memory: 13609 grad_norm: 2.9388 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5056 loss: 1.5056 2022/08/01 18:22:55 - mmengine - INFO - Epoch(train) [52][280/940] lr: 6.0000e-03 eta: 6:46:15 time: 0.5646 data_time: 0.0601 memory: 13609 grad_norm: 2.9554 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2744 loss: 1.2744 2022/08/01 18:23:06 - mmengine - INFO - Epoch(train) [52][300/940] lr: 6.0000e-03 eta: 6:46:04 time: 0.5153 data_time: 0.0374 memory: 13609 grad_norm: 2.9232 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4410 loss: 1.4410 2022/08/01 18:23:16 - mmengine - INFO - Epoch(train) [52][320/940] lr: 6.0000e-03 eta: 6:45:53 time: 0.5055 data_time: 0.1036 memory: 13609 grad_norm: 2.8935 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5060 loss: 1.5060 2022/08/01 18:23:27 - mmengine - INFO - Epoch(train) [52][340/940] lr: 6.0000e-03 eta: 6:45:43 time: 0.5462 data_time: 0.2066 memory: 13609 grad_norm: 2.8635 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/08/01 18:23:37 - mmengine - INFO - Epoch(train) [52][360/940] lr: 6.0000e-03 eta: 6:45:32 time: 0.5109 data_time: 0.1430 memory: 13609 grad_norm: 2.9434 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4164 loss: 1.4164 2022/08/01 18:23:49 - mmengine - INFO - Epoch(train) [52][380/940] lr: 6.0000e-03 eta: 6:45:22 time: 0.6093 data_time: 0.2747 memory: 13609 grad_norm: 2.9173 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4034 loss: 1.4034 2022/08/01 18:23:58 - mmengine - INFO - Epoch(train) [52][400/940] lr: 6.0000e-03 eta: 6:45:10 time: 0.4463 data_time: 0.1381 memory: 13609 grad_norm: 2.8780 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4349 loss: 1.4349 2022/08/01 18:24:09 - mmengine - INFO - Epoch(train) [52][420/940] lr: 6.0000e-03 eta: 6:45:00 time: 0.5701 data_time: 0.2560 memory: 13609 grad_norm: 2.9299 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5242 loss: 1.5242 2022/08/01 18:24:20 - mmengine - INFO - Epoch(train) [52][440/940] lr: 6.0000e-03 eta: 6:44:49 time: 0.5074 data_time: 0.1344 memory: 13609 grad_norm: 2.8953 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4474 loss: 1.4474 2022/08/01 18:24:30 - mmengine - INFO - Epoch(train) [52][460/940] lr: 6.0000e-03 eta: 6:44:38 time: 0.5134 data_time: 0.1532 memory: 13609 grad_norm: 2.9998 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4644 loss: 1.4644 2022/08/01 18:24:40 - mmengine - INFO - Epoch(train) [52][480/940] lr: 6.0000e-03 eta: 6:44:27 time: 0.4902 data_time: 0.0982 memory: 13609 grad_norm: 2.9233 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3344 loss: 1.3344 2022/08/01 18:24:50 - mmengine - INFO - Epoch(train) [52][500/940] lr: 6.0000e-03 eta: 6:44:16 time: 0.5354 data_time: 0.1952 memory: 13609 grad_norm: 2.9229 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4665 loss: 1.4665 2022/08/01 18:25:02 - mmengine - INFO - Epoch(train) [52][520/940] lr: 6.0000e-03 eta: 6:44:06 time: 0.5650 data_time: 0.0305 memory: 13609 grad_norm: 3.0431 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5180 loss: 1.5180 2022/08/01 18:25:11 - mmengine - INFO - Epoch(train) [52][540/940] lr: 6.0000e-03 eta: 6:43:54 time: 0.4780 data_time: 0.0418 memory: 13609 grad_norm: 2.8728 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4795 loss: 1.4795 2022/08/01 18:25:22 - mmengine - INFO - Epoch(train) [52][560/940] lr: 6.0000e-03 eta: 6:43:44 time: 0.5562 data_time: 0.0324 memory: 13609 grad_norm: 2.9605 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4112 loss: 1.4112 2022/08/01 18:25:32 - mmengine - INFO - Epoch(train) [52][580/940] lr: 6.0000e-03 eta: 6:43:33 time: 0.4982 data_time: 0.0412 memory: 13609 grad_norm: 2.9073 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3930 loss: 1.3930 2022/08/01 18:25:45 - mmengine - INFO - Epoch(train) [52][600/940] lr: 6.0000e-03 eta: 6:43:24 time: 0.6185 data_time: 0.0288 memory: 13609 grad_norm: 2.9365 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4257 loss: 1.4257 2022/08/01 18:25:55 - mmengine - INFO - Epoch(train) [52][620/940] lr: 6.0000e-03 eta: 6:43:12 time: 0.4876 data_time: 0.0397 memory: 13609 grad_norm: 2.9324 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4273 loss: 1.4273 2022/08/01 18:26:05 - mmengine - INFO - Epoch(train) [52][640/940] lr: 6.0000e-03 eta: 6:43:01 time: 0.5252 data_time: 0.0788 memory: 13609 grad_norm: 2.9561 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6087 loss: 1.6087 2022/08/01 18:26:16 - mmengine - INFO - Epoch(train) [52][660/940] lr: 6.0000e-03 eta: 6:42:51 time: 0.5417 data_time: 0.1825 memory: 13609 grad_norm: 2.9553 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.4480 loss: 1.4480 2022/08/01 18:26:27 - mmengine - INFO - Epoch(train) [52][680/940] lr: 6.0000e-03 eta: 6:42:41 time: 0.5567 data_time: 0.0924 memory: 13609 grad_norm: 2.9837 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3475 loss: 1.3475 2022/08/01 18:26:37 - mmengine - INFO - Epoch(train) [52][700/940] lr: 6.0000e-03 eta: 6:42:30 time: 0.4975 data_time: 0.0351 memory: 13609 grad_norm: 2.9827 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4539 loss: 1.4539 2022/08/01 18:26:48 - mmengine - INFO - Epoch(train) [52][720/940] lr: 6.0000e-03 eta: 6:42:19 time: 0.5573 data_time: 0.0232 memory: 13609 grad_norm: 2.9609 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5046 loss: 1.5046 2022/08/01 18:26:58 - mmengine - INFO - Epoch(train) [52][740/940] lr: 6.0000e-03 eta: 6:42:08 time: 0.5110 data_time: 0.0414 memory: 13609 grad_norm: 3.0081 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5530 loss: 1.5530 2022/08/01 18:27:09 - mmengine - INFO - Epoch(train) [52][760/940] lr: 6.0000e-03 eta: 6:41:58 time: 0.5424 data_time: 0.0353 memory: 13609 grad_norm: 2.9704 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3815 loss: 1.3815 2022/08/01 18:27:18 - mmengine - INFO - Epoch(train) [52][780/940] lr: 6.0000e-03 eta: 6:41:46 time: 0.4616 data_time: 0.0401 memory: 13609 grad_norm: 2.9448 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4235 loss: 1.4235 2022/08/01 18:27:30 - mmengine - INFO - Epoch(train) [52][800/940] lr: 6.0000e-03 eta: 6:41:36 time: 0.5680 data_time: 0.0276 memory: 13609 grad_norm: 3.0454 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.3450 loss: 1.3450 2022/08/01 18:27:40 - mmengine - INFO - Epoch(train) [52][820/940] lr: 6.0000e-03 eta: 6:41:25 time: 0.5249 data_time: 0.0415 memory: 13609 grad_norm: 3.0416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5364 loss: 1.5364 2022/08/01 18:27:50 - mmengine - INFO - Epoch(train) [52][840/940] lr: 6.0000e-03 eta: 6:41:14 time: 0.5083 data_time: 0.0334 memory: 13609 grad_norm: 3.0519 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.5142 loss: 1.5142 2022/08/01 18:28:01 - mmengine - INFO - Epoch(train) [52][860/940] lr: 6.0000e-03 eta: 6:41:03 time: 0.5068 data_time: 0.0340 memory: 13609 grad_norm: 2.9959 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4815 loss: 1.4815 2022/08/01 18:28:12 - mmengine - INFO - Epoch(train) [52][880/940] lr: 6.0000e-03 eta: 6:40:53 time: 0.5773 data_time: 0.0294 memory: 13609 grad_norm: 2.9532 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4142 loss: 1.4142 2022/08/01 18:28:22 - mmengine - INFO - Epoch(train) [52][900/940] lr: 6.0000e-03 eta: 6:40:41 time: 0.4813 data_time: 0.0387 memory: 13609 grad_norm: 2.9920 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4199 loss: 1.4199 2022/08/01 18:28:32 - mmengine - INFO - Epoch(train) [52][920/940] lr: 6.0000e-03 eta: 6:40:31 time: 0.5332 data_time: 0.0371 memory: 13609 grad_norm: 2.9986 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4566 loss: 1.4566 2022/08/01 18:28:41 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:28:41 - mmengine - INFO - Epoch(train) [52][940/940] lr: 6.0000e-03 eta: 6:40:18 time: 0.4060 data_time: 0.0257 memory: 13609 grad_norm: 3.1141 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.4427 loss: 1.4427 2022/08/01 18:30:26 - mmengine - INFO - Epoch(val) [52][20/78] eta: 0:05:06 time: 5.2775 data_time: 4.5150 memory: 19674 2022/08/01 18:31:38 - mmengine - INFO - Epoch(val) [52][40/78] eta: 0:02:16 time: 3.6024 data_time: 2.8540 memory: 19674 2022/08/01 18:33:14 - mmengine - INFO - Epoch(val) [52][60/78] eta: 0:01:26 time: 4.7921 data_time: 4.0324 memory: 19674 2022/08/01 18:34:28 - mmengine - INFO - Epoch(val) [52][78/78] acc/top1: 0.6954 acc/top5: 0.8930 acc/mean1: 0.6953 2022/08/01 18:34:43 - mmengine - INFO - Epoch(train) [53][20/940] lr: 6.0000e-03 eta: 6:40:11 time: 0.7142 data_time: 0.3665 memory: 19674 grad_norm: 2.9218 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3312 loss: 1.3312 2022/08/01 18:34:53 - mmengine - INFO - Epoch(train) [53][40/940] lr: 6.0000e-03 eta: 6:39:59 time: 0.4986 data_time: 0.1205 memory: 13609 grad_norm: 2.9351 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4585 loss: 1.4585 2022/08/01 18:35:05 - mmengine - INFO - Epoch(train) [53][60/940] lr: 6.0000e-03 eta: 6:39:50 time: 0.6060 data_time: 0.0780 memory: 13609 grad_norm: 3.0071 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5079 loss: 1.5079 2022/08/01 18:35:14 - mmengine - INFO - Epoch(train) [53][80/940] lr: 6.0000e-03 eta: 6:39:38 time: 0.4777 data_time: 0.0604 memory: 13609 grad_norm: 2.9570 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4839 loss: 1.4839 2022/08/01 18:35:26 - mmengine - INFO - Epoch(train) [53][100/940] lr: 6.0000e-03 eta: 6:39:28 time: 0.5675 data_time: 0.1740 memory: 13609 grad_norm: 3.0157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/08/01 18:35:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:35:35 - mmengine - INFO - Epoch(train) [53][120/940] lr: 6.0000e-03 eta: 6:39:17 time: 0.4742 data_time: 0.1624 memory: 13609 grad_norm: 2.9682 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4672 loss: 1.4672 2022/08/01 18:35:46 - mmengine - INFO - Epoch(train) [53][140/940] lr: 6.0000e-03 eta: 6:39:06 time: 0.5350 data_time: 0.2348 memory: 13609 grad_norm: 2.9376 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4601 loss: 1.4601 2022/08/01 18:35:56 - mmengine - INFO - Epoch(train) [53][160/940] lr: 6.0000e-03 eta: 6:38:55 time: 0.5127 data_time: 0.0866 memory: 13609 grad_norm: 2.9312 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4556 loss: 1.4556 2022/08/01 18:36:07 - mmengine - INFO - Epoch(train) [53][180/940] lr: 6.0000e-03 eta: 6:38:45 time: 0.5501 data_time: 0.1917 memory: 13609 grad_norm: 2.8799 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3131 loss: 1.3131 2022/08/01 18:36:17 - mmengine - INFO - Epoch(train) [53][200/940] lr: 6.0000e-03 eta: 6:38:33 time: 0.4854 data_time: 0.1498 memory: 13609 grad_norm: 2.9943 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3888 loss: 1.3888 2022/08/01 18:36:28 - mmengine - INFO - Epoch(train) [53][220/940] lr: 6.0000e-03 eta: 6:38:23 time: 0.5385 data_time: 0.1905 memory: 13609 grad_norm: 2.9915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3323 loss: 1.3323 2022/08/01 18:36:38 - mmengine - INFO - Epoch(train) [53][240/940] lr: 6.0000e-03 eta: 6:38:12 time: 0.5301 data_time: 0.0721 memory: 13609 grad_norm: 2.9025 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3203 loss: 1.3203 2022/08/01 18:36:48 - mmengine - INFO - Epoch(train) [53][260/940] lr: 6.0000e-03 eta: 6:38:01 time: 0.5088 data_time: 0.0754 memory: 13609 grad_norm: 2.9816 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4235 loss: 1.4235 2022/08/01 18:36:59 - mmengine - INFO - Epoch(train) [53][280/940] lr: 6.0000e-03 eta: 6:37:50 time: 0.5346 data_time: 0.0865 memory: 13609 grad_norm: 2.9835 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3045 loss: 1.3045 2022/08/01 18:37:10 - mmengine - INFO - Epoch(train) [53][300/940] lr: 6.0000e-03 eta: 6:37:40 time: 0.5381 data_time: 0.1497 memory: 13609 grad_norm: 2.9611 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/08/01 18:37:20 - mmengine - INFO - Epoch(train) [53][320/940] lr: 6.0000e-03 eta: 6:37:29 time: 0.5115 data_time: 0.1908 memory: 13609 grad_norm: 2.9745 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.2672 loss: 1.2672 2022/08/01 18:37:31 - mmengine - INFO - Epoch(train) [53][340/940] lr: 6.0000e-03 eta: 6:37:19 time: 0.5674 data_time: 0.2522 memory: 13609 grad_norm: 2.9406 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.4395 loss: 1.4395 2022/08/01 18:37:40 - mmengine - INFO - Epoch(train) [53][360/940] lr: 6.0000e-03 eta: 6:37:07 time: 0.4483 data_time: 0.1270 memory: 13609 grad_norm: 3.0177 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5223 loss: 1.5223 2022/08/01 18:37:52 - mmengine - INFO - Epoch(train) [53][380/940] lr: 6.0000e-03 eta: 6:36:57 time: 0.6027 data_time: 0.2768 memory: 13609 grad_norm: 3.0399 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/08/01 18:38:03 - mmengine - INFO - Epoch(train) [53][400/940] lr: 6.0000e-03 eta: 6:36:46 time: 0.5104 data_time: 0.1680 memory: 13609 grad_norm: 3.0020 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4916 loss: 1.4916 2022/08/01 18:38:13 - mmengine - INFO - Epoch(train) [53][420/940] lr: 6.0000e-03 eta: 6:36:35 time: 0.5058 data_time: 0.2003 memory: 13609 grad_norm: 3.0056 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4137 loss: 1.4137 2022/08/01 18:38:23 - mmengine - INFO - Epoch(train) [53][440/940] lr: 6.0000e-03 eta: 6:36:24 time: 0.4952 data_time: 0.1017 memory: 13609 grad_norm: 2.9809 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4633 loss: 1.4633 2022/08/01 18:38:33 - mmengine - INFO - Epoch(train) [53][460/940] lr: 6.0000e-03 eta: 6:36:12 time: 0.4998 data_time: 0.1471 memory: 13609 grad_norm: 2.9673 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4750 loss: 1.4750 2022/08/01 18:38:43 - mmengine - INFO - Epoch(train) [53][480/940] lr: 6.0000e-03 eta: 6:36:01 time: 0.4920 data_time: 0.1251 memory: 13609 grad_norm: 2.9916 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5082 loss: 1.5082 2022/08/01 18:38:54 - mmengine - INFO - Epoch(train) [53][500/940] lr: 6.0000e-03 eta: 6:35:51 time: 0.5819 data_time: 0.1820 memory: 13609 grad_norm: 2.9980 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5334 loss: 1.5334 2022/08/01 18:39:05 - mmengine - INFO - Epoch(train) [53][520/940] lr: 6.0000e-03 eta: 6:35:40 time: 0.5218 data_time: 0.0752 memory: 13609 grad_norm: 2.9931 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5388 loss: 1.5388 2022/08/01 18:39:15 - mmengine - INFO - Epoch(train) [53][540/940] lr: 6.0000e-03 eta: 6:35:30 time: 0.5345 data_time: 0.0438 memory: 13609 grad_norm: 2.9881 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5075 loss: 1.5075 2022/08/01 18:39:25 - mmengine - INFO - Epoch(train) [53][560/940] lr: 6.0000e-03 eta: 6:35:18 time: 0.4788 data_time: 0.0382 memory: 13609 grad_norm: 2.9797 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4198 loss: 1.4198 2022/08/01 18:39:36 - mmengine - INFO - Epoch(train) [53][580/940] lr: 6.0000e-03 eta: 6:35:08 time: 0.5347 data_time: 0.1299 memory: 13609 grad_norm: 2.9630 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3887 loss: 1.3887 2022/08/01 18:39:48 - mmengine - INFO - Epoch(train) [53][600/940] lr: 6.0000e-03 eta: 6:34:59 time: 0.6307 data_time: 0.0352 memory: 13609 grad_norm: 2.9780 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4665 loss: 1.4665 2022/08/01 18:39:58 - mmengine - INFO - Epoch(train) [53][620/940] lr: 6.0000e-03 eta: 6:34:47 time: 0.4910 data_time: 0.0421 memory: 13609 grad_norm: 3.0012 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4258 loss: 1.4258 2022/08/01 18:40:10 - mmengine - INFO - Epoch(train) [53][640/940] lr: 6.0000e-03 eta: 6:34:38 time: 0.5819 data_time: 0.0281 memory: 13609 grad_norm: 3.0011 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4623 loss: 1.4623 2022/08/01 18:40:19 - mmengine - INFO - Epoch(train) [53][660/940] lr: 6.0000e-03 eta: 6:34:26 time: 0.4824 data_time: 0.0332 memory: 13609 grad_norm: 2.9919 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4269 loss: 1.4269 2022/08/01 18:40:31 - mmengine - INFO - Epoch(train) [53][680/940] lr: 6.0000e-03 eta: 6:34:16 time: 0.5735 data_time: 0.0410 memory: 13609 grad_norm: 2.9478 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4930 loss: 1.4930 2022/08/01 18:40:41 - mmengine - INFO - Epoch(train) [53][700/940] lr: 6.0000e-03 eta: 6:34:05 time: 0.5256 data_time: 0.0400 memory: 13609 grad_norm: 3.0016 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3843 loss: 1.3843 2022/08/01 18:40:52 - mmengine - INFO - Epoch(train) [53][720/940] lr: 6.0000e-03 eta: 6:33:55 time: 0.5211 data_time: 0.0396 memory: 13609 grad_norm: 3.0179 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3940 loss: 1.3940 2022/08/01 18:41:02 - mmengine - INFO - Epoch(train) [53][740/940] lr: 6.0000e-03 eta: 6:33:43 time: 0.4985 data_time: 0.0337 memory: 13609 grad_norm: 3.0567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6079 loss: 1.6079 2022/08/01 18:41:13 - mmengine - INFO - Epoch(train) [53][760/940] lr: 6.0000e-03 eta: 6:33:34 time: 0.5839 data_time: 0.0277 memory: 13609 grad_norm: 3.0342 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5866 loss: 1.5866 2022/08/01 18:41:23 - mmengine - INFO - Epoch(train) [53][780/940] lr: 6.0000e-03 eta: 6:33:22 time: 0.4546 data_time: 0.0368 memory: 13609 grad_norm: 3.0065 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5381 loss: 1.5381 2022/08/01 18:41:35 - mmengine - INFO - Epoch(train) [53][800/940] lr: 6.0000e-03 eta: 6:33:12 time: 0.6001 data_time: 0.0298 memory: 13609 grad_norm: 3.0584 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4003 loss: 1.4003 2022/08/01 18:41:44 - mmengine - INFO - Epoch(train) [53][820/940] lr: 6.0000e-03 eta: 6:33:01 time: 0.4790 data_time: 0.0342 memory: 13609 grad_norm: 2.9704 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4333 loss: 1.4333 2022/08/01 18:41:55 - mmengine - INFO - Epoch(train) [53][840/940] lr: 6.0000e-03 eta: 6:32:50 time: 0.5521 data_time: 0.0480 memory: 13609 grad_norm: 2.9716 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3269 loss: 1.3269 2022/08/01 18:42:05 - mmengine - INFO - Epoch(train) [53][860/940] lr: 6.0000e-03 eta: 6:32:38 time: 0.4712 data_time: 0.0386 memory: 13609 grad_norm: 3.0404 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5107 loss: 1.5107 2022/08/01 18:42:15 - mmengine - INFO - Epoch(train) [53][880/940] lr: 6.0000e-03 eta: 6:32:28 time: 0.5139 data_time: 0.0433 memory: 13609 grad_norm: 3.0291 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5212 loss: 1.5212 2022/08/01 18:42:26 - mmengine - INFO - Epoch(train) [53][900/940] lr: 6.0000e-03 eta: 6:32:17 time: 0.5403 data_time: 0.0924 memory: 13609 grad_norm: 3.0025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4153 loss: 1.4153 2022/08/01 18:42:37 - mmengine - INFO - Epoch(train) [53][920/940] lr: 6.0000e-03 eta: 6:32:07 time: 0.5458 data_time: 0.0510 memory: 13609 grad_norm: 2.9632 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5418 loss: 1.5418 2022/08/01 18:42:46 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:42:46 - mmengine - INFO - Epoch(train) [53][940/940] lr: 6.0000e-03 eta: 6:31:55 time: 0.4642 data_time: 0.0351 memory: 13609 grad_norm: 3.1133 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5153 loss: 1.5153 2022/08/01 18:44:32 - mmengine - INFO - Epoch(val) [53][20/78] eta: 0:05:06 time: 5.2782 data_time: 4.5013 memory: 19674 2022/08/01 18:45:44 - mmengine - INFO - Epoch(val) [53][40/78] eta: 0:02:17 time: 3.6268 data_time: 2.8632 memory: 19674 2022/08/01 18:47:20 - mmengine - INFO - Epoch(val) [53][60/78] eta: 0:01:25 time: 4.7733 data_time: 4.0318 memory: 19674 2022/08/01 18:48:34 - mmengine - INFO - Epoch(val) [53][78/78] acc/top1: 0.6981 acc/top5: 0.8926 acc/mean1: 0.6979 2022/08/01 18:48:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_51.pth is removed 2022/08/01 18:48:35 - mmengine - INFO - The best checkpoint with 0.6981 acc/top1 at 54 epoch is saved to best_acc/top1_epoch_54.pth. 2022/08/01 18:48:50 - mmengine - INFO - Epoch(train) [54][20/940] lr: 6.0000e-03 eta: 6:31:47 time: 0.7155 data_time: 0.4246 memory: 19674 grad_norm: 2.9103 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3689 loss: 1.3689 2022/08/01 18:48:59 - mmengine - INFO - Epoch(train) [54][40/940] lr: 6.0000e-03 eta: 6:31:36 time: 0.4745 data_time: 0.1991 memory: 13609 grad_norm: 2.9188 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4883 loss: 1.4883 2022/08/01 18:49:11 - mmengine - INFO - Epoch(train) [54][60/940] lr: 6.0000e-03 eta: 6:31:26 time: 0.5821 data_time: 0.2966 memory: 13609 grad_norm: 3.0202 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4566 loss: 1.4566 2022/08/01 18:49:22 - mmengine - INFO - Epoch(train) [54][80/940] lr: 6.0000e-03 eta: 6:31:15 time: 0.5369 data_time: 0.2517 memory: 13609 grad_norm: 3.0575 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4574 loss: 1.4574 2022/08/01 18:49:32 - mmengine - INFO - Epoch(train) [54][100/940] lr: 6.0000e-03 eta: 6:31:04 time: 0.5190 data_time: 0.1412 memory: 13609 grad_norm: 3.0167 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4781 loss: 1.4781 2022/08/01 18:49:41 - mmengine - INFO - Epoch(train) [54][120/940] lr: 6.0000e-03 eta: 6:30:53 time: 0.4758 data_time: 0.1058 memory: 13609 grad_norm: 2.9462 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4461 loss: 1.4461 2022/08/01 18:49:53 - mmengine - INFO - Epoch(train) [54][140/940] lr: 6.0000e-03 eta: 6:30:43 time: 0.5912 data_time: 0.0342 memory: 13609 grad_norm: 3.1409 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4027 loss: 1.4027 2022/08/01 18:50:03 - mmengine - INFO - Epoch(train) [54][160/940] lr: 6.0000e-03 eta: 6:30:32 time: 0.4986 data_time: 0.0281 memory: 13609 grad_norm: 2.9874 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5237 loss: 1.5237 2022/08/01 18:50:14 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:50:14 - mmengine - INFO - Epoch(train) [54][180/940] lr: 6.0000e-03 eta: 6:30:21 time: 0.5329 data_time: 0.0511 memory: 13609 grad_norm: 2.9965 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3114 loss: 1.3114 2022/08/01 18:50:24 - mmengine - INFO - Epoch(train) [54][200/940] lr: 6.0000e-03 eta: 6:30:10 time: 0.5089 data_time: 0.0382 memory: 13609 grad_norm: 3.0643 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4593 loss: 1.4593 2022/08/01 18:50:35 - mmengine - INFO - Epoch(train) [54][220/940] lr: 6.0000e-03 eta: 6:30:00 time: 0.5370 data_time: 0.0498 memory: 13609 grad_norm: 3.0601 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4446 loss: 1.4446 2022/08/01 18:50:45 - mmengine - INFO - Epoch(train) [54][240/940] lr: 6.0000e-03 eta: 6:29:49 time: 0.5204 data_time: 0.0325 memory: 13609 grad_norm: 2.9766 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.2825 loss: 1.2825 2022/08/01 18:50:57 - mmengine - INFO - Epoch(train) [54][260/940] lr: 6.0000e-03 eta: 6:29:39 time: 0.5687 data_time: 0.1666 memory: 13609 grad_norm: 3.0400 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3812 loss: 1.3812 2022/08/01 18:51:06 - mmengine - INFO - Epoch(train) [54][280/940] lr: 6.0000e-03 eta: 6:29:27 time: 0.4743 data_time: 0.0561 memory: 13609 grad_norm: 3.0369 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4735 loss: 1.4735 2022/08/01 18:51:18 - mmengine - INFO - Epoch(train) [54][300/940] lr: 6.0000e-03 eta: 6:29:17 time: 0.5768 data_time: 0.1371 memory: 13609 grad_norm: 2.9830 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4088 loss: 1.4088 2022/08/01 18:51:28 - mmengine - INFO - Epoch(train) [54][320/940] lr: 6.0000e-03 eta: 6:29:06 time: 0.4951 data_time: 0.1588 memory: 13609 grad_norm: 3.0045 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4052 loss: 1.4052 2022/08/01 18:51:39 - mmengine - INFO - Epoch(train) [54][340/940] lr: 6.0000e-03 eta: 6:28:56 time: 0.5548 data_time: 0.2301 memory: 13609 grad_norm: 3.0922 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4523 loss: 1.4523 2022/08/01 18:51:48 - mmengine - INFO - Epoch(train) [54][360/940] lr: 6.0000e-03 eta: 6:28:44 time: 0.4747 data_time: 0.1657 memory: 13609 grad_norm: 3.0645 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.5258 loss: 1.5258 2022/08/01 18:51:59 - mmengine - INFO - Epoch(train) [54][380/940] lr: 6.0000e-03 eta: 6:28:34 time: 0.5514 data_time: 0.1334 memory: 13609 grad_norm: 2.9505 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4656 loss: 1.4656 2022/08/01 18:52:09 - mmengine - INFO - Epoch(train) [54][400/940] lr: 6.0000e-03 eta: 6:28:23 time: 0.5071 data_time: 0.0896 memory: 13609 grad_norm: 3.0137 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3256 loss: 1.3256 2022/08/01 18:52:21 - mmengine - INFO - Epoch(train) [54][420/940] lr: 6.0000e-03 eta: 6:28:13 time: 0.5618 data_time: 0.0462 memory: 13609 grad_norm: 2.9939 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3657 loss: 1.3657 2022/08/01 18:52:30 - mmengine - INFO - Epoch(train) [54][440/940] lr: 6.0000e-03 eta: 6:28:01 time: 0.4534 data_time: 0.0496 memory: 13609 grad_norm: 3.0156 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4256 loss: 1.4256 2022/08/01 18:52:41 - mmengine - INFO - Epoch(train) [54][460/940] lr: 6.0000e-03 eta: 6:27:51 time: 0.5809 data_time: 0.0369 memory: 13609 grad_norm: 3.0198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4838 loss: 1.4838 2022/08/01 18:52:51 - mmengine - INFO - Epoch(train) [54][480/940] lr: 6.0000e-03 eta: 6:27:39 time: 0.4812 data_time: 0.0298 memory: 13609 grad_norm: 2.9968 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4855 loss: 1.4855 2022/08/01 18:53:02 - mmengine - INFO - Epoch(train) [54][500/940] lr: 6.0000e-03 eta: 6:27:29 time: 0.5428 data_time: 0.0676 memory: 13609 grad_norm: 3.0370 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3690 loss: 1.3690 2022/08/01 18:53:11 - mmengine - INFO - Epoch(train) [54][520/940] lr: 6.0000e-03 eta: 6:27:17 time: 0.4806 data_time: 0.1349 memory: 13609 grad_norm: 3.0277 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4451 loss: 1.4451 2022/08/01 18:53:23 - mmengine - INFO - Epoch(train) [54][540/940] lr: 6.0000e-03 eta: 6:27:07 time: 0.5759 data_time: 0.1500 memory: 13609 grad_norm: 3.1298 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4327 loss: 1.4327 2022/08/01 18:53:33 - mmengine - INFO - Epoch(train) [54][560/940] lr: 6.0000e-03 eta: 6:26:56 time: 0.5089 data_time: 0.1500 memory: 13609 grad_norm: 3.0061 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4478 loss: 1.4478 2022/08/01 18:53:45 - mmengine - INFO - Epoch(train) [54][580/940] lr: 6.0000e-03 eta: 6:26:46 time: 0.5723 data_time: 0.1381 memory: 13609 grad_norm: 3.0264 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4164 loss: 1.4164 2022/08/01 18:53:54 - mmengine - INFO - Epoch(train) [54][600/940] lr: 6.0000e-03 eta: 6:26:34 time: 0.4623 data_time: 0.1190 memory: 13609 grad_norm: 3.0891 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4859 loss: 1.4859 2022/08/01 18:54:05 - mmengine - INFO - Epoch(train) [54][620/940] lr: 6.0000e-03 eta: 6:26:24 time: 0.5514 data_time: 0.1625 memory: 13609 grad_norm: 3.0126 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4498 loss: 1.4498 2022/08/01 18:54:15 - mmengine - INFO - Epoch(train) [54][640/940] lr: 6.0000e-03 eta: 6:26:13 time: 0.4948 data_time: 0.0770 memory: 13609 grad_norm: 3.1035 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4552 loss: 1.4552 2022/08/01 18:54:27 - mmengine - INFO - Epoch(train) [54][660/940] lr: 6.0000e-03 eta: 6:26:04 time: 0.6260 data_time: 0.1698 memory: 13609 grad_norm: 3.0425 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3884 loss: 1.3884 2022/08/01 18:54:37 - mmengine - INFO - Epoch(train) [54][680/940] lr: 6.0000e-03 eta: 6:25:52 time: 0.4684 data_time: 0.1657 memory: 13609 grad_norm: 2.9962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3365 loss: 1.3365 2022/08/01 18:54:48 - mmengine - INFO - Epoch(train) [54][700/940] lr: 6.0000e-03 eta: 6:25:42 time: 0.5445 data_time: 0.2396 memory: 13609 grad_norm: 2.9826 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4303 loss: 1.4303 2022/08/01 18:54:58 - mmengine - INFO - Epoch(train) [54][720/940] lr: 6.0000e-03 eta: 6:25:31 time: 0.5242 data_time: 0.1432 memory: 13609 grad_norm: 3.0072 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4041 loss: 1.4041 2022/08/01 18:55:08 - mmengine - INFO - Epoch(train) [54][740/940] lr: 6.0000e-03 eta: 6:25:20 time: 0.4888 data_time: 0.1072 memory: 13609 grad_norm: 3.1090 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/01 18:55:19 - mmengine - INFO - Epoch(train) [54][760/940] lr: 6.0000e-03 eta: 6:25:09 time: 0.5633 data_time: 0.0285 memory: 13609 grad_norm: 3.0411 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3301 loss: 1.3301 2022/08/01 18:55:30 - mmengine - INFO - Epoch(train) [54][780/940] lr: 6.0000e-03 eta: 6:24:59 time: 0.5206 data_time: 0.0344 memory: 13609 grad_norm: 3.0538 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/08/01 18:55:40 - mmengine - INFO - Epoch(train) [54][800/940] lr: 6.0000e-03 eta: 6:24:48 time: 0.5155 data_time: 0.0362 memory: 13609 grad_norm: 3.0671 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.5074 loss: 1.5074 2022/08/01 18:55:51 - mmengine - INFO - Epoch(train) [54][820/940] lr: 6.0000e-03 eta: 6:24:37 time: 0.5424 data_time: 0.0353 memory: 13609 grad_norm: 3.0533 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5490 loss: 1.5490 2022/08/01 18:56:02 - mmengine - INFO - Epoch(train) [54][840/940] lr: 6.0000e-03 eta: 6:24:27 time: 0.5786 data_time: 0.0433 memory: 13609 grad_norm: 3.0708 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4545 loss: 1.4545 2022/08/01 18:56:11 - mmengine - INFO - Epoch(train) [54][860/940] lr: 6.0000e-03 eta: 6:24:15 time: 0.4239 data_time: 0.0334 memory: 13609 grad_norm: 3.1065 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4222 loss: 1.4222 2022/08/01 18:56:23 - mmengine - INFO - Epoch(train) [54][880/940] lr: 6.0000e-03 eta: 6:24:06 time: 0.6314 data_time: 0.0455 memory: 13609 grad_norm: 3.1048 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4057 loss: 1.4057 2022/08/01 18:56:32 - mmengine - INFO - Epoch(train) [54][900/940] lr: 6.0000e-03 eta: 6:23:54 time: 0.4359 data_time: 0.0289 memory: 13609 grad_norm: 3.0578 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3828 loss: 1.3828 2022/08/01 18:56:43 - mmengine - INFO - Epoch(train) [54][920/940] lr: 6.0000e-03 eta: 6:23:43 time: 0.5514 data_time: 0.0379 memory: 13609 grad_norm: 3.0481 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4011 loss: 1.4011 2022/08/01 18:56:52 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 18:56:52 - mmengine - INFO - Epoch(train) [54][940/940] lr: 6.0000e-03 eta: 6:23:31 time: 0.4320 data_time: 0.0277 memory: 13609 grad_norm: 3.2282 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.5580 loss: 1.5580 2022/08/01 18:56:52 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/01 18:58:40 - mmengine - INFO - Epoch(val) [54][20/78] eta: 0:05:07 time: 5.3086 data_time: 4.5484 memory: 19674 2022/08/01 18:59:52 - mmengine - INFO - Epoch(val) [54][40/78] eta: 0:02:16 time: 3.6043 data_time: 2.8522 memory: 19674 2022/08/01 19:01:28 - mmengine - INFO - Epoch(val) [54][60/78] eta: 0:01:25 time: 4.7743 data_time: 4.0265 memory: 19674 2022/08/01 19:02:39 - mmengine - INFO - Epoch(val) [54][78/78] acc/top1: 0.6990 acc/top5: 0.8925 acc/mean1: 0.6989 2022/08/01 19:02:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_54.pth is removed 2022/08/01 19:02:41 - mmengine - INFO - The best checkpoint with 0.6990 acc/top1 at 55 epoch is saved to best_acc/top1_epoch_55.pth. 2022/08/01 19:02:55 - mmengine - INFO - Epoch(train) [55][20/940] lr: 6.0000e-03 eta: 6:23:23 time: 0.6833 data_time: 0.4037 memory: 19674 grad_norm: 3.1195 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4170 loss: 1.4170 2022/08/01 19:03:04 - mmengine - INFO - Epoch(train) [55][40/940] lr: 6.0000e-03 eta: 6:23:11 time: 0.4733 data_time: 0.1868 memory: 13609 grad_norm: 3.0075 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3359 loss: 1.3359 2022/08/01 19:03:16 - mmengine - INFO - Epoch(train) [55][60/940] lr: 6.0000e-03 eta: 6:23:01 time: 0.5844 data_time: 0.3144 memory: 13609 grad_norm: 3.0432 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3523 loss: 1.3523 2022/08/01 19:03:26 - mmengine - INFO - Epoch(train) [55][80/940] lr: 6.0000e-03 eta: 6:22:50 time: 0.5110 data_time: 0.2035 memory: 13609 grad_norm: 3.0317 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4090 loss: 1.4090 2022/08/01 19:03:37 - mmengine - INFO - Epoch(train) [55][100/940] lr: 6.0000e-03 eta: 6:22:40 time: 0.5540 data_time: 0.2289 memory: 13609 grad_norm: 3.0534 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4839 loss: 1.4839 2022/08/01 19:03:47 - mmengine - INFO - Epoch(train) [55][120/940] lr: 6.0000e-03 eta: 6:22:29 time: 0.4929 data_time: 0.1123 memory: 13609 grad_norm: 3.0609 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4629 loss: 1.4629 2022/08/01 19:03:59 - mmengine - INFO - Epoch(train) [55][140/940] lr: 6.0000e-03 eta: 6:22:19 time: 0.5711 data_time: 0.1579 memory: 13609 grad_norm: 3.0887 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2515 loss: 1.2515 2022/08/01 19:04:08 - mmengine - INFO - Epoch(train) [55][160/940] lr: 6.0000e-03 eta: 6:22:07 time: 0.4867 data_time: 0.0874 memory: 13609 grad_norm: 3.0888 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5203 loss: 1.5203 2022/08/01 19:04:20 - mmengine - INFO - Epoch(train) [55][180/940] lr: 6.0000e-03 eta: 6:21:58 time: 0.5858 data_time: 0.0443 memory: 13609 grad_norm: 3.0486 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.4774 loss: 1.4774 2022/08/01 19:04:30 - mmengine - INFO - Epoch(train) [55][200/940] lr: 6.0000e-03 eta: 6:21:46 time: 0.4749 data_time: 0.0707 memory: 13609 grad_norm: 3.0660 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4077 loss: 1.4077 2022/08/01 19:04:41 - mmengine - INFO - Epoch(train) [55][220/940] lr: 6.0000e-03 eta: 6:21:36 time: 0.5420 data_time: 0.0503 memory: 13609 grad_norm: 3.0423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5057 loss: 1.5057 2022/08/01 19:04:50 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:04:50 - mmengine - INFO - Epoch(train) [55][240/940] lr: 6.0000e-03 eta: 6:21:24 time: 0.4696 data_time: 0.0518 memory: 13609 grad_norm: 3.0452 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3023 loss: 1.3023 2022/08/01 19:05:01 - mmengine - INFO - Epoch(train) [55][260/940] lr: 6.0000e-03 eta: 6:21:13 time: 0.5347 data_time: 0.1388 memory: 13609 grad_norm: 3.0810 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5413 loss: 1.5413 2022/08/01 19:05:10 - mmengine - INFO - Epoch(train) [55][280/940] lr: 6.0000e-03 eta: 6:21:02 time: 0.4851 data_time: 0.1598 memory: 13609 grad_norm: 3.0894 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3546 loss: 1.3546 2022/08/01 19:05:22 - mmengine - INFO - Epoch(train) [55][300/940] lr: 6.0000e-03 eta: 6:20:52 time: 0.5882 data_time: 0.2270 memory: 13609 grad_norm: 3.1175 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4839 loss: 1.4839 2022/08/01 19:05:33 - mmengine - INFO - Epoch(train) [55][320/940] lr: 6.0000e-03 eta: 6:20:42 time: 0.5442 data_time: 0.2288 memory: 13609 grad_norm: 3.0996 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5324 loss: 1.5324 2022/08/01 19:05:44 - mmengine - INFO - Epoch(train) [55][340/940] lr: 6.0000e-03 eta: 6:20:31 time: 0.5342 data_time: 0.1367 memory: 13609 grad_norm: 3.0397 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4611 loss: 1.4611 2022/08/01 19:05:53 - mmengine - INFO - Epoch(train) [55][360/940] lr: 6.0000e-03 eta: 6:20:20 time: 0.4903 data_time: 0.0358 memory: 13609 grad_norm: 3.1158 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4678 loss: 1.4678 2022/08/01 19:06:04 - mmengine - INFO - Epoch(train) [55][380/940] lr: 6.0000e-03 eta: 6:20:09 time: 0.5338 data_time: 0.1743 memory: 13609 grad_norm: 3.0538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5104 loss: 1.5104 2022/08/01 19:06:14 - mmengine - INFO - Epoch(train) [55][400/940] lr: 6.0000e-03 eta: 6:19:58 time: 0.4732 data_time: 0.0868 memory: 13609 grad_norm: 3.1105 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3514 loss: 1.3514 2022/08/01 19:06:26 - mmengine - INFO - Epoch(train) [55][420/940] lr: 6.0000e-03 eta: 6:19:48 time: 0.6074 data_time: 0.1628 memory: 13609 grad_norm: 3.0984 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5047 loss: 1.5047 2022/08/01 19:06:35 - mmengine - INFO - Epoch(train) [55][440/940] lr: 6.0000e-03 eta: 6:19:36 time: 0.4740 data_time: 0.1383 memory: 13609 grad_norm: 3.0566 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4694 loss: 1.4694 2022/08/01 19:06:47 - mmengine - INFO - Epoch(train) [55][460/940] lr: 6.0000e-03 eta: 6:19:27 time: 0.6016 data_time: 0.2849 memory: 13609 grad_norm: 3.0444 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4071 loss: 1.4071 2022/08/01 19:06:57 - mmengine - INFO - Epoch(train) [55][480/940] lr: 6.0000e-03 eta: 6:19:16 time: 0.4828 data_time: 0.1765 memory: 13609 grad_norm: 3.0815 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2116 loss: 1.2116 2022/08/01 19:07:08 - mmengine - INFO - Epoch(train) [55][500/940] lr: 6.0000e-03 eta: 6:19:05 time: 0.5356 data_time: 0.2305 memory: 13609 grad_norm: 3.0809 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3735 loss: 1.3735 2022/08/01 19:07:17 - mmengine - INFO - Epoch(train) [55][520/940] lr: 6.0000e-03 eta: 6:18:54 time: 0.4865 data_time: 0.1724 memory: 13609 grad_norm: 3.0654 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3331 loss: 1.3331 2022/08/01 19:07:28 - mmengine - INFO - Epoch(train) [55][540/940] lr: 6.0000e-03 eta: 6:18:43 time: 0.5427 data_time: 0.2248 memory: 13609 grad_norm: 3.1330 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4360 loss: 1.4360 2022/08/01 19:07:38 - mmengine - INFO - Epoch(train) [55][560/940] lr: 6.0000e-03 eta: 6:18:32 time: 0.5004 data_time: 0.0651 memory: 13609 grad_norm: 3.1180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5229 loss: 1.5229 2022/08/01 19:07:49 - mmengine - INFO - Epoch(train) [55][580/940] lr: 6.0000e-03 eta: 6:18:21 time: 0.5396 data_time: 0.0529 memory: 13609 grad_norm: 3.0779 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4409 loss: 1.4409 2022/08/01 19:08:00 - mmengine - INFO - Epoch(train) [55][600/940] lr: 6.0000e-03 eta: 6:18:11 time: 0.5630 data_time: 0.0943 memory: 13609 grad_norm: 3.1162 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5065 loss: 1.5065 2022/08/01 19:08:11 - mmengine - INFO - Epoch(train) [55][620/940] lr: 6.0000e-03 eta: 6:18:00 time: 0.5076 data_time: 0.0389 memory: 13609 grad_norm: 3.0854 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3562 loss: 1.3562 2022/08/01 19:08:21 - mmengine - INFO - Epoch(train) [55][640/940] lr: 6.0000e-03 eta: 6:17:50 time: 0.5308 data_time: 0.0334 memory: 13609 grad_norm: 3.1014 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.2383 loss: 1.2383 2022/08/01 19:08:32 - mmengine - INFO - Epoch(train) [55][660/940] lr: 6.0000e-03 eta: 6:17:39 time: 0.5106 data_time: 0.0382 memory: 13609 grad_norm: 3.0831 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3874 loss: 1.3874 2022/08/01 19:08:43 - mmengine - INFO - Epoch(train) [55][680/940] lr: 6.0000e-03 eta: 6:17:29 time: 0.5767 data_time: 0.0387 memory: 13609 grad_norm: 3.1046 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4864 loss: 1.4864 2022/08/01 19:08:52 - mmengine - INFO - Epoch(train) [55][700/940] lr: 6.0000e-03 eta: 6:17:16 time: 0.4370 data_time: 0.0442 memory: 13609 grad_norm: 3.1043 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4583 loss: 1.4583 2022/08/01 19:09:04 - mmengine - INFO - Epoch(train) [55][720/940] lr: 6.0000e-03 eta: 6:17:07 time: 0.5970 data_time: 0.0363 memory: 13609 grad_norm: 3.0564 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5610 loss: 1.5610 2022/08/01 19:09:14 - mmengine - INFO - Epoch(train) [55][740/940] lr: 6.0000e-03 eta: 6:16:56 time: 0.5007 data_time: 0.0434 memory: 13609 grad_norm: 3.0897 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4400 loss: 1.4400 2022/08/01 19:09:24 - mmengine - INFO - Epoch(train) [55][760/940] lr: 6.0000e-03 eta: 6:16:45 time: 0.5428 data_time: 0.0548 memory: 13609 grad_norm: 3.1107 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4900 loss: 1.4900 2022/08/01 19:09:35 - mmengine - INFO - Epoch(train) [55][780/940] lr: 6.0000e-03 eta: 6:16:34 time: 0.5120 data_time: 0.0354 memory: 13609 grad_norm: 3.1012 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4663 loss: 1.4663 2022/08/01 19:09:45 - mmengine - INFO - Epoch(train) [55][800/940] lr: 6.0000e-03 eta: 6:16:23 time: 0.4943 data_time: 0.0324 memory: 13609 grad_norm: 3.1187 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/08/01 19:09:56 - mmengine - INFO - Epoch(train) [55][820/940] lr: 6.0000e-03 eta: 6:16:13 time: 0.5839 data_time: 0.0302 memory: 13609 grad_norm: 3.1282 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4631 loss: 1.4631 2022/08/01 19:10:05 - mmengine - INFO - Epoch(train) [55][840/940] lr: 6.0000e-03 eta: 6:16:01 time: 0.4432 data_time: 0.0396 memory: 13609 grad_norm: 3.0164 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3575 loss: 1.3575 2022/08/01 19:10:16 - mmengine - INFO - Epoch(train) [55][860/940] lr: 6.0000e-03 eta: 6:15:51 time: 0.5560 data_time: 0.0458 memory: 13609 grad_norm: 3.1378 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/08/01 19:10:27 - mmengine - INFO - Epoch(train) [55][880/940] lr: 6.0000e-03 eta: 6:15:40 time: 0.5286 data_time: 0.0574 memory: 13609 grad_norm: 3.0873 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4648 loss: 1.4648 2022/08/01 19:10:38 - mmengine - INFO - Epoch(train) [55][900/940] lr: 6.0000e-03 eta: 6:15:30 time: 0.5696 data_time: 0.0328 memory: 13609 grad_norm: 3.0841 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4449 loss: 1.4449 2022/08/01 19:10:47 - mmengine - INFO - Epoch(train) [55][920/940] lr: 6.0000e-03 eta: 6:15:18 time: 0.4522 data_time: 0.0415 memory: 13609 grad_norm: 3.1621 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4679 loss: 1.4679 2022/08/01 19:10:57 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:10:57 - mmengine - INFO - Epoch(train) [55][940/940] lr: 6.0000e-03 eta: 6:15:07 time: 0.4711 data_time: 0.0203 memory: 13609 grad_norm: 3.3448 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5627 loss: 1.5627 2022/08/01 19:12:43 - mmengine - INFO - Epoch(val) [55][20/78] eta: 0:05:07 time: 5.2986 data_time: 4.5232 memory: 19674 2022/08/01 19:13:56 - mmengine - INFO - Epoch(val) [55][40/78] eta: 0:02:18 time: 3.6419 data_time: 2.8826 memory: 19674 2022/08/01 19:15:31 - mmengine - INFO - Epoch(val) [55][60/78] eta: 0:01:25 time: 4.7689 data_time: 4.0163 memory: 19674 2022/08/01 19:16:43 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.6987 acc/top5: 0.8928 acc/mean1: 0.6986 2022/08/01 19:16:58 - mmengine - INFO - Epoch(train) [56][20/940] lr: 6.0000e-03 eta: 6:14:59 time: 0.7510 data_time: 0.2792 memory: 19674 grad_norm: 3.1037 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3582 loss: 1.3582 2022/08/01 19:17:09 - mmengine - INFO - Epoch(train) [56][40/940] lr: 6.0000e-03 eta: 6:14:49 time: 0.5195 data_time: 0.0444 memory: 13609 grad_norm: 3.0890 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4370 loss: 1.4370 2022/08/01 19:17:20 - mmengine - INFO - Epoch(train) [56][60/940] lr: 6.0000e-03 eta: 6:14:39 time: 0.5882 data_time: 0.0370 memory: 13609 grad_norm: 3.0742 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4232 loss: 1.4232 2022/08/01 19:17:30 - mmengine - INFO - Epoch(train) [56][80/940] lr: 6.0000e-03 eta: 6:14:27 time: 0.4755 data_time: 0.0292 memory: 13609 grad_norm: 3.1429 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5445 loss: 1.5445 2022/08/01 19:17:41 - mmengine - INFO - Epoch(train) [56][100/940] lr: 6.0000e-03 eta: 6:14:17 time: 0.5339 data_time: 0.0327 memory: 13609 grad_norm: 3.1318 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4457 loss: 1.4457 2022/08/01 19:17:49 - mmengine - INFO - Epoch(train) [56][120/940] lr: 6.0000e-03 eta: 6:14:05 time: 0.4404 data_time: 0.0363 memory: 13609 grad_norm: 3.1057 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3957 loss: 1.3957 2022/08/01 19:18:00 - mmengine - INFO - Epoch(train) [56][140/940] lr: 6.0000e-03 eta: 6:13:54 time: 0.5447 data_time: 0.0360 memory: 13609 grad_norm: 3.0365 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4348 loss: 1.4348 2022/08/01 19:18:11 - mmengine - INFO - Epoch(train) [56][160/940] lr: 6.0000e-03 eta: 6:13:43 time: 0.5184 data_time: 0.0409 memory: 13609 grad_norm: 3.1321 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4812 loss: 1.4812 2022/08/01 19:18:21 - mmengine - INFO - Epoch(train) [56][180/940] lr: 6.0000e-03 eta: 6:13:32 time: 0.4926 data_time: 0.1000 memory: 13609 grad_norm: 3.1244 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4323 loss: 1.4323 2022/08/01 19:18:32 - mmengine - INFO - Epoch(train) [56][200/940] lr: 6.0000e-03 eta: 6:13:22 time: 0.5726 data_time: 0.1688 memory: 13609 grad_norm: 3.0918 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/08/01 19:18:42 - mmengine - INFO - Epoch(train) [56][220/940] lr: 6.0000e-03 eta: 6:13:11 time: 0.5165 data_time: 0.1102 memory: 13609 grad_norm: 3.0584 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2945 loss: 1.2945 2022/08/01 19:18:54 - mmengine - INFO - Epoch(train) [56][240/940] lr: 6.0000e-03 eta: 6:13:01 time: 0.5774 data_time: 0.0363 memory: 13609 grad_norm: 3.1363 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3553 loss: 1.3553 2022/08/01 19:19:04 - mmengine - INFO - Epoch(train) [56][260/940] lr: 6.0000e-03 eta: 6:12:50 time: 0.4994 data_time: 0.0643 memory: 13609 grad_norm: 3.0495 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.5483 loss: 1.5483 2022/08/01 19:19:14 - mmengine - INFO - Epoch(train) [56][280/940] lr: 6.0000e-03 eta: 6:12:39 time: 0.5158 data_time: 0.0902 memory: 13609 grad_norm: 3.1242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3018 loss: 1.3018 2022/08/01 19:19:24 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:19:24 - mmengine - INFO - Epoch(train) [56][300/940] lr: 6.0000e-03 eta: 6:12:28 time: 0.5090 data_time: 0.0453 memory: 13609 grad_norm: 3.0586 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4551 loss: 1.4551 2022/08/01 19:19:35 - mmengine - INFO - Epoch(train) [56][320/940] lr: 6.0000e-03 eta: 6:12:18 time: 0.5398 data_time: 0.0325 memory: 13609 grad_norm: 3.1260 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4403 loss: 1.4403 2022/08/01 19:19:46 - mmengine - INFO - Epoch(train) [56][340/940] lr: 6.0000e-03 eta: 6:12:07 time: 0.5194 data_time: 0.0558 memory: 13609 grad_norm: 3.0884 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2881 loss: 1.2881 2022/08/01 19:19:57 - mmengine - INFO - Epoch(train) [56][360/940] lr: 6.0000e-03 eta: 6:11:57 time: 0.5834 data_time: 0.0410 memory: 13609 grad_norm: 3.2187 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4773 loss: 1.4773 2022/08/01 19:20:07 - mmengine - INFO - Epoch(train) [56][380/940] lr: 6.0000e-03 eta: 6:11:45 time: 0.4692 data_time: 0.0373 memory: 13609 grad_norm: 3.1650 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4021 loss: 1.4021 2022/08/01 19:20:18 - mmengine - INFO - Epoch(train) [56][400/940] lr: 6.0000e-03 eta: 6:11:35 time: 0.5441 data_time: 0.0432 memory: 13609 grad_norm: 3.1244 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3983 loss: 1.3983 2022/08/01 19:20:28 - mmengine - INFO - Epoch(train) [56][420/940] lr: 6.0000e-03 eta: 6:11:24 time: 0.5321 data_time: 0.0526 memory: 13609 grad_norm: 3.1642 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5043 loss: 1.5043 2022/08/01 19:20:40 - mmengine - INFO - Epoch(train) [56][440/940] lr: 6.0000e-03 eta: 6:11:14 time: 0.5812 data_time: 0.0409 memory: 13609 grad_norm: 3.1423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4805 loss: 1.4805 2022/08/01 19:20:49 - mmengine - INFO - Epoch(train) [56][460/940] lr: 6.0000e-03 eta: 6:11:02 time: 0.4481 data_time: 0.0376 memory: 13609 grad_norm: 3.1173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4813 loss: 1.4813 2022/08/01 19:21:00 - mmengine - INFO - Epoch(train) [56][480/940] lr: 6.0000e-03 eta: 6:10:52 time: 0.5481 data_time: 0.0314 memory: 13609 grad_norm: 3.1111 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4291 loss: 1.4291 2022/08/01 19:21:09 - mmengine - INFO - Epoch(train) [56][500/940] lr: 6.0000e-03 eta: 6:10:40 time: 0.4760 data_time: 0.0389 memory: 13609 grad_norm: 3.1129 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4029 loss: 1.4029 2022/08/01 19:21:20 - mmengine - INFO - Epoch(train) [56][520/940] lr: 6.0000e-03 eta: 6:10:30 time: 0.5540 data_time: 0.0311 memory: 13609 grad_norm: 3.1681 top1_acc: 0.5938 top5_acc: 1.0000 loss_cls: 1.4725 loss: 1.4725 2022/08/01 19:21:30 - mmengine - INFO - Epoch(train) [56][540/940] lr: 6.0000e-03 eta: 6:10:19 time: 0.4965 data_time: 0.0481 memory: 13609 grad_norm: 3.0776 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3840 loss: 1.3840 2022/08/01 19:21:42 - mmengine - INFO - Epoch(train) [56][560/940] lr: 6.0000e-03 eta: 6:10:09 time: 0.5985 data_time: 0.0373 memory: 13609 grad_norm: 3.1452 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3822 loss: 1.3822 2022/08/01 19:21:52 - mmengine - INFO - Epoch(train) [56][580/940] lr: 6.0000e-03 eta: 6:09:58 time: 0.4645 data_time: 0.0400 memory: 13609 grad_norm: 3.0620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3807 loss: 1.3807 2022/08/01 19:22:04 - mmengine - INFO - Epoch(train) [56][600/940] lr: 6.0000e-03 eta: 6:09:49 time: 0.6320 data_time: 0.0953 memory: 13609 grad_norm: 3.1038 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3336 loss: 1.3336 2022/08/01 19:22:13 - mmengine - INFO - Epoch(train) [56][620/940] lr: 6.0000e-03 eta: 6:09:37 time: 0.4521 data_time: 0.0349 memory: 13609 grad_norm: 3.1206 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3205 loss: 1.3205 2022/08/01 19:22:25 - mmengine - INFO - Epoch(train) [56][640/940] lr: 6.0000e-03 eta: 6:09:27 time: 0.6055 data_time: 0.0503 memory: 13609 grad_norm: 3.1583 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3213 loss: 1.3213 2022/08/01 19:22:35 - mmengine - INFO - Epoch(train) [56][660/940] lr: 6.0000e-03 eta: 6:09:16 time: 0.4754 data_time: 0.0371 memory: 13609 grad_norm: 3.1205 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4421 loss: 1.4421 2022/08/01 19:22:46 - mmengine - INFO - Epoch(train) [56][680/940] lr: 6.0000e-03 eta: 6:09:06 time: 0.5669 data_time: 0.0309 memory: 13609 grad_norm: 3.1151 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4559 loss: 1.4559 2022/08/01 19:22:56 - mmengine - INFO - Epoch(train) [56][700/940] lr: 6.0000e-03 eta: 6:08:54 time: 0.5016 data_time: 0.0362 memory: 13609 grad_norm: 3.1405 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3995 loss: 1.3995 2022/08/01 19:23:08 - mmengine - INFO - Epoch(train) [56][720/940] lr: 6.0000e-03 eta: 6:08:45 time: 0.5863 data_time: 0.0345 memory: 13609 grad_norm: 3.1558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5018 loss: 1.5018 2022/08/01 19:23:17 - mmengine - INFO - Epoch(train) [56][740/940] lr: 6.0000e-03 eta: 6:08:33 time: 0.4450 data_time: 0.0408 memory: 13609 grad_norm: 3.1119 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3482 loss: 1.3482 2022/08/01 19:23:28 - mmengine - INFO - Epoch(train) [56][760/940] lr: 6.0000e-03 eta: 6:08:23 time: 0.5749 data_time: 0.0302 memory: 13609 grad_norm: 3.1228 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4536 loss: 1.4536 2022/08/01 19:23:38 - mmengine - INFO - Epoch(train) [56][780/940] lr: 6.0000e-03 eta: 6:08:11 time: 0.4857 data_time: 0.0377 memory: 13609 grad_norm: 3.1098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5622 loss: 1.5622 2022/08/01 19:23:50 - mmengine - INFO - Epoch(train) [56][800/940] lr: 6.0000e-03 eta: 6:08:01 time: 0.5715 data_time: 0.0314 memory: 13609 grad_norm: 3.1100 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3173 loss: 1.3173 2022/08/01 19:23:59 - mmengine - INFO - Epoch(train) [56][820/940] lr: 6.0000e-03 eta: 6:07:50 time: 0.4653 data_time: 0.0441 memory: 13609 grad_norm: 3.0786 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3031 loss: 1.3031 2022/08/01 19:24:10 - mmengine - INFO - Epoch(train) [56][840/940] lr: 6.0000e-03 eta: 6:07:39 time: 0.5308 data_time: 0.0302 memory: 13609 grad_norm: 3.2440 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4314 loss: 1.4314 2022/08/01 19:24:19 - mmengine - INFO - Epoch(train) [56][860/940] lr: 6.0000e-03 eta: 6:07:27 time: 0.4805 data_time: 0.0504 memory: 13609 grad_norm: 3.1234 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3689 loss: 1.3689 2022/08/01 19:24:31 - mmengine - INFO - Epoch(train) [56][880/940] lr: 6.0000e-03 eta: 6:07:17 time: 0.5659 data_time: 0.0398 memory: 13609 grad_norm: 3.1985 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4517 loss: 1.4517 2022/08/01 19:24:40 - mmengine - INFO - Epoch(train) [56][900/940] lr: 6.0000e-03 eta: 6:07:06 time: 0.4690 data_time: 0.0449 memory: 13609 grad_norm: 3.1586 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5558 loss: 1.5558 2022/08/01 19:24:51 - mmengine - INFO - Epoch(train) [56][920/940] lr: 6.0000e-03 eta: 6:06:56 time: 0.5777 data_time: 0.0303 memory: 13609 grad_norm: 3.2209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4852 loss: 1.4852 2022/08/01 19:24:59 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:24:59 - mmengine - INFO - Epoch(train) [56][940/940] lr: 6.0000e-03 eta: 6:06:43 time: 0.3888 data_time: 0.0381 memory: 13609 grad_norm: 3.2676 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.4787 loss: 1.4787 2022/08/01 19:26:45 - mmengine - INFO - Epoch(val) [56][20/78] eta: 0:05:07 time: 5.2992 data_time: 4.5409 memory: 19674 2022/08/01 19:27:58 - mmengine - INFO - Epoch(val) [56][40/78] eta: 0:02:17 time: 3.6235 data_time: 2.8631 memory: 19674 2022/08/01 19:29:33 - mmengine - INFO - Epoch(val) [56][60/78] eta: 0:01:25 time: 4.7617 data_time: 4.0186 memory: 19674 2022/08/01 19:30:46 - mmengine - INFO - Epoch(val) [56][78/78] acc/top1: 0.7018 acc/top5: 0.8939 acc/mean1: 0.7016 2022/08/01 19:30:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_55.pth is removed 2022/08/01 19:30:48 - mmengine - INFO - The best checkpoint with 0.7018 acc/top1 at 57 epoch is saved to best_acc/top1_epoch_57.pth. 2022/08/01 19:31:01 - mmengine - INFO - Epoch(train) [57][20/940] lr: 6.0000e-03 eta: 6:06:34 time: 0.6480 data_time: 0.3622 memory: 19674 grad_norm: 3.2026 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4328 loss: 1.4328 2022/08/01 19:31:10 - mmengine - INFO - Epoch(train) [57][40/940] lr: 6.0000e-03 eta: 6:06:23 time: 0.4849 data_time: 0.1899 memory: 13609 grad_norm: 3.1296 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3370 loss: 1.3370 2022/08/01 19:31:21 - mmengine - INFO - Epoch(train) [57][60/940] lr: 6.0000e-03 eta: 6:06:12 time: 0.5493 data_time: 0.2694 memory: 13609 grad_norm: 3.1260 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4366 loss: 1.4366 2022/08/01 19:31:31 - mmengine - INFO - Epoch(train) [57][80/940] lr: 6.0000e-03 eta: 6:06:01 time: 0.5129 data_time: 0.1945 memory: 13609 grad_norm: 3.0831 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2760 loss: 1.2760 2022/08/01 19:31:43 - mmengine - INFO - Epoch(train) [57][100/940] lr: 6.0000e-03 eta: 6:05:51 time: 0.5640 data_time: 0.2297 memory: 13609 grad_norm: 3.1237 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3743 loss: 1.3743 2022/08/01 19:31:53 - mmengine - INFO - Epoch(train) [57][120/940] lr: 6.0000e-03 eta: 6:05:40 time: 0.5022 data_time: 0.2062 memory: 13609 grad_norm: 3.1393 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4101 loss: 1.4101 2022/08/01 19:32:03 - mmengine - INFO - Epoch(train) [57][140/940] lr: 6.0000e-03 eta: 6:05:29 time: 0.5276 data_time: 0.2529 memory: 13609 grad_norm: 3.1838 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3743 loss: 1.3743 2022/08/01 19:32:14 - mmengine - INFO - Epoch(train) [57][160/940] lr: 6.0000e-03 eta: 6:05:19 time: 0.5464 data_time: 0.2325 memory: 13609 grad_norm: 3.1551 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4121 loss: 1.4121 2022/08/01 19:32:25 - mmengine - INFO - Epoch(train) [57][180/940] lr: 6.0000e-03 eta: 6:05:08 time: 0.5360 data_time: 0.1867 memory: 13609 grad_norm: 3.1457 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3898 loss: 1.3898 2022/08/01 19:32:34 - mmengine - INFO - Epoch(train) [57][200/940] lr: 6.0000e-03 eta: 6:04:57 time: 0.4672 data_time: 0.1222 memory: 13609 grad_norm: 3.1448 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5249 loss: 1.5249 2022/08/01 19:32:45 - mmengine - INFO - Epoch(train) [57][220/940] lr: 6.0000e-03 eta: 6:04:46 time: 0.5414 data_time: 0.1501 memory: 13609 grad_norm: 3.1316 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4078 loss: 1.4078 2022/08/01 19:32:56 - mmengine - INFO - Epoch(train) [57][240/940] lr: 6.0000e-03 eta: 6:04:36 time: 0.5305 data_time: 0.0329 memory: 13609 grad_norm: 3.2190 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3973 loss: 1.3973 2022/08/01 19:33:07 - mmengine - INFO - Epoch(train) [57][260/940] lr: 6.0000e-03 eta: 6:04:25 time: 0.5644 data_time: 0.1318 memory: 13609 grad_norm: 3.1255 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3257 loss: 1.3257 2022/08/01 19:33:17 - mmengine - INFO - Epoch(train) [57][280/940] lr: 6.0000e-03 eta: 6:04:14 time: 0.4924 data_time: 0.0746 memory: 13609 grad_norm: 3.1422 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4451 loss: 1.4451 2022/08/01 19:33:27 - mmengine - INFO - Epoch(train) [57][300/940] lr: 6.0000e-03 eta: 6:04:03 time: 0.4920 data_time: 0.0592 memory: 13609 grad_norm: 3.1176 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5229 loss: 1.5229 2022/08/01 19:33:37 - mmengine - INFO - Epoch(train) [57][320/940] lr: 6.0000e-03 eta: 6:03:52 time: 0.5103 data_time: 0.0753 memory: 13609 grad_norm: 3.1399 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.2330 loss: 1.2330 2022/08/01 19:33:48 - mmengine - INFO - Epoch(train) [57][340/940] lr: 6.0000e-03 eta: 6:03:41 time: 0.5420 data_time: 0.1587 memory: 13609 grad_norm: 3.1563 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3574 loss: 1.3574 2022/08/01 19:33:59 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:33:59 - mmengine - INFO - Epoch(train) [57][360/940] lr: 6.0000e-03 eta: 6:03:31 time: 0.5417 data_time: 0.0303 memory: 13609 grad_norm: 3.1862 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4683 loss: 1.4683 2022/08/01 19:34:09 - mmengine - INFO - Epoch(train) [57][380/940] lr: 6.0000e-03 eta: 6:03:20 time: 0.5005 data_time: 0.0924 memory: 13609 grad_norm: 3.1859 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4227 loss: 1.4227 2022/08/01 19:34:20 - mmengine - INFO - Epoch(train) [57][400/940] lr: 6.0000e-03 eta: 6:03:09 time: 0.5461 data_time: 0.1588 memory: 13609 grad_norm: 3.1233 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4332 loss: 1.4332 2022/08/01 19:34:30 - mmengine - INFO - Epoch(train) [57][420/940] lr: 6.0000e-03 eta: 6:02:59 time: 0.5307 data_time: 0.1633 memory: 13609 grad_norm: 3.1674 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3702 loss: 1.3702 2022/08/01 19:34:41 - mmengine - INFO - Epoch(train) [57][440/940] lr: 6.0000e-03 eta: 6:02:48 time: 0.5186 data_time: 0.1230 memory: 13609 grad_norm: 3.2169 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3721 loss: 1.3721 2022/08/01 19:34:51 - mmengine - INFO - Epoch(train) [57][460/940] lr: 6.0000e-03 eta: 6:02:37 time: 0.5017 data_time: 0.1303 memory: 13609 grad_norm: 3.1799 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4503 loss: 1.4503 2022/08/01 19:35:02 - mmengine - INFO - Epoch(train) [57][480/940] lr: 6.0000e-03 eta: 6:02:26 time: 0.5466 data_time: 0.0793 memory: 13609 grad_norm: 3.1717 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4545 loss: 1.4545 2022/08/01 19:35:11 - mmengine - INFO - Epoch(train) [57][500/940] lr: 6.0000e-03 eta: 6:02:15 time: 0.4913 data_time: 0.0394 memory: 13609 grad_norm: 3.1350 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5108 loss: 1.5108 2022/08/01 19:35:23 - mmengine - INFO - Epoch(train) [57][520/940] lr: 6.0000e-03 eta: 6:02:05 time: 0.5789 data_time: 0.0296 memory: 13609 grad_norm: 3.1169 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3783 loss: 1.3783 2022/08/01 19:35:33 - mmengine - INFO - Epoch(train) [57][540/940] lr: 6.0000e-03 eta: 6:01:54 time: 0.4845 data_time: 0.0324 memory: 13609 grad_norm: 3.1733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4835 loss: 1.4835 2022/08/01 19:35:43 - mmengine - INFO - Epoch(train) [57][560/940] lr: 6.0000e-03 eta: 6:01:43 time: 0.5254 data_time: 0.0339 memory: 13609 grad_norm: 3.1290 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4671 loss: 1.4671 2022/08/01 19:35:54 - mmengine - INFO - Epoch(train) [57][580/940] lr: 6.0000e-03 eta: 6:01:32 time: 0.5213 data_time: 0.0318 memory: 13609 grad_norm: 3.1896 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3211 loss: 1.3211 2022/08/01 19:36:05 - mmengine - INFO - Epoch(train) [57][600/940] lr: 6.0000e-03 eta: 6:01:22 time: 0.5574 data_time: 0.0316 memory: 13609 grad_norm: 3.1823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5449 loss: 1.5449 2022/08/01 19:36:14 - mmengine - INFO - Epoch(train) [57][620/940] lr: 6.0000e-03 eta: 6:01:11 time: 0.4822 data_time: 0.0331 memory: 13609 grad_norm: 3.2061 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3170 loss: 1.3170 2022/08/01 19:36:27 - mmengine - INFO - Epoch(train) [57][640/940] lr: 6.0000e-03 eta: 6:01:02 time: 0.6374 data_time: 0.0385 memory: 13609 grad_norm: 3.1945 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2472 loss: 1.2472 2022/08/01 19:36:36 - mmengine - INFO - Epoch(train) [57][660/940] lr: 6.0000e-03 eta: 6:00:50 time: 0.4382 data_time: 0.0307 memory: 13609 grad_norm: 3.2195 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4517 loss: 1.4517 2022/08/01 19:36:48 - mmengine - INFO - Epoch(train) [57][680/940] lr: 6.0000e-03 eta: 6:00:40 time: 0.6024 data_time: 0.0327 memory: 13609 grad_norm: 3.1634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4523 loss: 1.4523 2022/08/01 19:36:58 - mmengine - INFO - Epoch(train) [57][700/940] lr: 6.0000e-03 eta: 6:00:29 time: 0.5026 data_time: 0.0315 memory: 13609 grad_norm: 3.1516 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4223 loss: 1.4223 2022/08/01 19:37:10 - mmengine - INFO - Epoch(train) [57][720/940] lr: 6.0000e-03 eta: 6:00:19 time: 0.5757 data_time: 0.0347 memory: 13609 grad_norm: 3.1692 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4560 loss: 1.4560 2022/08/01 19:37:20 - mmengine - INFO - Epoch(train) [57][740/940] lr: 6.0000e-03 eta: 6:00:08 time: 0.4964 data_time: 0.0619 memory: 13609 grad_norm: 3.1632 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3182 loss: 1.3182 2022/08/01 19:37:31 - mmengine - INFO - Epoch(train) [57][760/940] lr: 6.0000e-03 eta: 5:59:57 time: 0.5433 data_time: 0.0351 memory: 13609 grad_norm: 3.2874 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3106 loss: 1.3106 2022/08/01 19:37:39 - mmengine - INFO - Epoch(train) [57][780/940] lr: 6.0000e-03 eta: 5:59:45 time: 0.4396 data_time: 0.0468 memory: 13609 grad_norm: 3.1689 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/08/01 19:37:51 - mmengine - INFO - Epoch(train) [57][800/940] lr: 6.0000e-03 eta: 5:59:35 time: 0.5870 data_time: 0.0292 memory: 13609 grad_norm: 3.1915 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3187 loss: 1.3187 2022/08/01 19:38:01 - mmengine - INFO - Epoch(train) [57][820/940] lr: 6.0000e-03 eta: 5:59:24 time: 0.4941 data_time: 0.0351 memory: 13609 grad_norm: 3.1468 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5041 loss: 1.5041 2022/08/01 19:38:14 - mmengine - INFO - Epoch(train) [57][840/940] lr: 6.0000e-03 eta: 5:59:15 time: 0.6288 data_time: 0.0294 memory: 13609 grad_norm: 3.1985 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4811 loss: 1.4811 2022/08/01 19:38:22 - mmengine - INFO - Epoch(train) [57][860/940] lr: 6.0000e-03 eta: 5:59:03 time: 0.4076 data_time: 0.0388 memory: 13609 grad_norm: 3.2321 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4348 loss: 1.4348 2022/08/01 19:38:33 - mmengine - INFO - Epoch(train) [57][880/940] lr: 6.0000e-03 eta: 5:58:53 time: 0.5740 data_time: 0.0340 memory: 13609 grad_norm: 3.1563 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2860 loss: 1.2860 2022/08/01 19:38:44 - mmengine - INFO - Epoch(train) [57][900/940] lr: 6.0000e-03 eta: 5:58:42 time: 0.5271 data_time: 0.0433 memory: 13609 grad_norm: 3.2253 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4601 loss: 1.4601 2022/08/01 19:38:55 - mmengine - INFO - Epoch(train) [57][920/940] lr: 6.0000e-03 eta: 5:58:32 time: 0.5552 data_time: 0.0356 memory: 13609 grad_norm: 3.1407 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3744 loss: 1.3744 2022/08/01 19:39:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:39:03 - mmengine - INFO - Epoch(train) [57][940/940] lr: 6.0000e-03 eta: 5:58:19 time: 0.4150 data_time: 0.0249 memory: 13609 grad_norm: 3.3942 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.5049 loss: 1.5049 2022/08/01 19:39:03 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/01 19:40:50 - mmengine - INFO - Epoch(val) [57][20/78] eta: 0:05:06 time: 5.2854 data_time: 4.5299 memory: 19674 2022/08/01 19:42:02 - mmengine - INFO - Epoch(val) [57][40/78] eta: 0:02:17 time: 3.6075 data_time: 2.8584 memory: 19674 2022/08/01 19:43:39 - mmengine - INFO - Epoch(val) [57][60/78] eta: 0:01:26 time: 4.8226 data_time: 4.0834 memory: 19674 2022/08/01 19:44:53 - mmengine - INFO - Epoch(val) [57][78/78] acc/top1: 0.7013 acc/top5: 0.8933 acc/mean1: 0.7013 2022/08/01 19:45:07 - mmengine - INFO - Epoch(train) [58][20/940] lr: 6.0000e-03 eta: 5:58:11 time: 0.6956 data_time: 0.3823 memory: 19674 grad_norm: 3.1719 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.4029 loss: 1.4029 2022/08/01 19:45:17 - mmengine - INFO - Epoch(train) [58][40/940] lr: 6.0000e-03 eta: 5:58:00 time: 0.5109 data_time: 0.1338 memory: 13609 grad_norm: 3.1401 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3742 loss: 1.3742 2022/08/01 19:45:29 - mmengine - INFO - Epoch(train) [58][60/940] lr: 6.0000e-03 eta: 5:57:50 time: 0.5825 data_time: 0.1104 memory: 13609 grad_norm: 3.1968 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4116 loss: 1.4116 2022/08/01 19:45:39 - mmengine - INFO - Epoch(train) [58][80/940] lr: 6.0000e-03 eta: 5:57:39 time: 0.4829 data_time: 0.0520 memory: 13609 grad_norm: 3.1782 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4091 loss: 1.4091 2022/08/01 19:45:51 - mmengine - INFO - Epoch(train) [58][100/940] lr: 6.0000e-03 eta: 5:57:29 time: 0.6038 data_time: 0.1897 memory: 13609 grad_norm: 3.2084 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3992 loss: 1.3992 2022/08/01 19:46:00 - mmengine - INFO - Epoch(train) [58][120/940] lr: 6.0000e-03 eta: 5:57:17 time: 0.4568 data_time: 0.0799 memory: 13609 grad_norm: 3.2883 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4429 loss: 1.4429 2022/08/01 19:46:13 - mmengine - INFO - Epoch(train) [58][140/940] lr: 6.0000e-03 eta: 5:57:08 time: 0.6360 data_time: 0.0355 memory: 13609 grad_norm: 3.1725 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3512 loss: 1.3512 2022/08/01 19:46:22 - mmengine - INFO - Epoch(train) [58][160/940] lr: 6.0000e-03 eta: 5:56:56 time: 0.4411 data_time: 0.0293 memory: 13609 grad_norm: 3.1862 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3292 loss: 1.3292 2022/08/01 19:46:33 - mmengine - INFO - Epoch(train) [58][180/940] lr: 6.0000e-03 eta: 5:56:46 time: 0.5707 data_time: 0.0347 memory: 13609 grad_norm: 3.2982 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3675 loss: 1.3675 2022/08/01 19:46:42 - mmengine - INFO - Epoch(train) [58][200/940] lr: 6.0000e-03 eta: 5:56:34 time: 0.4508 data_time: 0.0404 memory: 13609 grad_norm: 3.1660 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3492 loss: 1.3492 2022/08/01 19:46:54 - mmengine - INFO - Epoch(train) [58][220/940] lr: 6.0000e-03 eta: 5:56:25 time: 0.5804 data_time: 0.0347 memory: 13609 grad_norm: 3.1534 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4163 loss: 1.4163 2022/08/01 19:47:03 - mmengine - INFO - Epoch(train) [58][240/940] lr: 6.0000e-03 eta: 5:56:13 time: 0.4791 data_time: 0.0391 memory: 13609 grad_norm: 3.2034 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3258 loss: 1.3258 2022/08/01 19:47:15 - mmengine - INFO - Epoch(train) [58][260/940] lr: 6.0000e-03 eta: 5:56:03 time: 0.5785 data_time: 0.0675 memory: 13609 grad_norm: 3.1970 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3785 loss: 1.3785 2022/08/01 19:47:27 - mmengine - INFO - Epoch(train) [58][280/940] lr: 6.0000e-03 eta: 5:55:54 time: 0.6104 data_time: 0.2056 memory: 13609 grad_norm: 3.3028 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3968 loss: 1.3968 2022/08/01 19:47:35 - mmengine - INFO - Epoch(train) [58][300/940] lr: 6.0000e-03 eta: 5:55:41 time: 0.4004 data_time: 0.0638 memory: 13609 grad_norm: 3.2426 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4116 loss: 1.4116 2022/08/01 19:47:46 - mmengine - INFO - Epoch(train) [58][320/940] lr: 6.0000e-03 eta: 5:55:31 time: 0.5688 data_time: 0.1861 memory: 13609 grad_norm: 3.1992 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/08/01 19:47:56 - mmengine - INFO - Epoch(train) [58][340/940] lr: 6.0000e-03 eta: 5:55:20 time: 0.4985 data_time: 0.0599 memory: 13609 grad_norm: 3.2310 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5140 loss: 1.5140 2022/08/01 19:49:19 - mmengine - INFO - Epoch(train) [58][360/940] lr: 6.0000e-03 eta: 5:56:03 time: 4.1268 data_time: 0.0302 memory: 13609 grad_norm: 3.1728 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3750 loss: 1.3750 2022/08/01 19:49:30 - mmengine - INFO - Epoch(train) [58][380/940] lr: 6.0000e-03 eta: 5:55:52 time: 0.5433 data_time: 0.0385 memory: 13609 grad_norm: 3.2445 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4152 loss: 1.4152 2022/08/01 19:49:39 - mmengine - INFO - Epoch(train) [58][400/940] lr: 6.0000e-03 eta: 5:55:41 time: 0.4804 data_time: 0.0344 memory: 13609 grad_norm: 3.2553 top1_acc: 0.3750 top5_acc: 0.8438 loss_cls: 1.4586 loss: 1.4586 2022/08/01 19:49:50 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:49:50 - mmengine - INFO - Epoch(train) [58][420/940] lr: 6.0000e-03 eta: 5:55:30 time: 0.5147 data_time: 0.0324 memory: 13609 grad_norm: 3.2336 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4566 loss: 1.4566 2022/08/01 19:50:01 - mmengine - INFO - Epoch(train) [58][440/940] lr: 6.0000e-03 eta: 5:55:19 time: 0.5409 data_time: 0.0487 memory: 13609 grad_norm: 3.2395 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3128 loss: 1.3128 2022/08/01 19:50:11 - mmengine - INFO - Epoch(train) [58][460/940] lr: 6.0000e-03 eta: 5:55:08 time: 0.5313 data_time: 0.0308 memory: 13609 grad_norm: 3.1933 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.4019 loss: 1.4019 2022/08/01 19:50:22 - mmengine - INFO - Epoch(train) [58][480/940] lr: 6.0000e-03 eta: 5:54:58 time: 0.5182 data_time: 0.0420 memory: 13609 grad_norm: 3.2651 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4308 loss: 1.4308 2022/08/01 19:50:31 - mmengine - INFO - Epoch(train) [58][500/940] lr: 6.0000e-03 eta: 5:54:46 time: 0.4842 data_time: 0.0362 memory: 13609 grad_norm: 3.2183 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3279 loss: 1.3279 2022/08/01 19:50:42 - mmengine - INFO - Epoch(train) [58][520/940] lr: 6.0000e-03 eta: 5:54:36 time: 0.5468 data_time: 0.0360 memory: 13609 grad_norm: 3.2297 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3266 loss: 1.3266 2022/08/01 19:50:53 - mmengine - INFO - Epoch(train) [58][540/940] lr: 6.0000e-03 eta: 5:54:25 time: 0.5547 data_time: 0.0383 memory: 13609 grad_norm: 3.2031 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.3161 loss: 1.3161 2022/08/01 19:51:04 - mmengine - INFO - Epoch(train) [58][560/940] lr: 6.0000e-03 eta: 5:54:15 time: 0.5474 data_time: 0.0324 memory: 13609 grad_norm: 3.2059 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3725 loss: 1.3725 2022/08/01 19:51:14 - mmengine - INFO - Epoch(train) [58][580/940] lr: 6.0000e-03 eta: 5:54:04 time: 0.4843 data_time: 0.0461 memory: 13609 grad_norm: 3.2154 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4808 loss: 1.4808 2022/08/01 19:51:25 - mmengine - INFO - Epoch(train) [58][600/940] lr: 6.0000e-03 eta: 5:53:53 time: 0.5737 data_time: 0.0333 memory: 13609 grad_norm: 3.2092 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4424 loss: 1.4424 2022/08/01 19:51:35 - mmengine - INFO - Epoch(train) [58][620/940] lr: 6.0000e-03 eta: 5:53:42 time: 0.4801 data_time: 0.0391 memory: 13609 grad_norm: 3.2180 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/08/01 19:51:46 - mmengine - INFO - Epoch(train) [58][640/940] lr: 6.0000e-03 eta: 5:53:32 time: 0.5649 data_time: 0.0314 memory: 13609 grad_norm: 3.1744 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3677 loss: 1.3677 2022/08/01 19:51:56 - mmengine - INFO - Epoch(train) [58][660/940] lr: 6.0000e-03 eta: 5:53:20 time: 0.4696 data_time: 0.0323 memory: 13609 grad_norm: 3.2463 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2746 loss: 1.2746 2022/08/01 19:52:08 - mmengine - INFO - Epoch(train) [58][680/940] lr: 6.0000e-03 eta: 5:53:10 time: 0.5971 data_time: 0.0319 memory: 13609 grad_norm: 3.1906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4985 loss: 1.4985 2022/08/01 19:52:18 - mmengine - INFO - Epoch(train) [58][700/940] lr: 6.0000e-03 eta: 5:53:00 time: 0.5108 data_time: 0.0354 memory: 13609 grad_norm: 3.2349 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3673 loss: 1.3673 2022/08/01 19:52:28 - mmengine - INFO - Epoch(train) [58][720/940] lr: 6.0000e-03 eta: 5:52:49 time: 0.5114 data_time: 0.0341 memory: 13609 grad_norm: 3.2489 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2955 loss: 1.2955 2022/08/01 19:52:38 - mmengine - INFO - Epoch(train) [58][740/940] lr: 6.0000e-03 eta: 5:52:38 time: 0.5180 data_time: 0.0501 memory: 13609 grad_norm: 3.3031 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4928 loss: 1.4928 2022/08/01 19:52:49 - mmengine - INFO - Epoch(train) [58][760/940] lr: 6.0000e-03 eta: 5:52:27 time: 0.5452 data_time: 0.0358 memory: 13609 grad_norm: 3.1567 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3068 loss: 1.3068 2022/08/01 19:52:59 - mmengine - INFO - Epoch(train) [58][780/940] lr: 6.0000e-03 eta: 5:52:16 time: 0.5063 data_time: 0.0413 memory: 13609 grad_norm: 3.1950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4666 loss: 1.4666 2022/08/01 19:53:10 - mmengine - INFO - Epoch(train) [58][800/940] lr: 6.0000e-03 eta: 5:52:05 time: 0.5071 data_time: 0.0329 memory: 13609 grad_norm: 3.1760 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4791 loss: 1.4791 2022/08/01 19:53:20 - mmengine - INFO - Epoch(train) [58][820/940] lr: 6.0000e-03 eta: 5:51:54 time: 0.5247 data_time: 0.0421 memory: 13609 grad_norm: 3.1895 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3537 loss: 1.3537 2022/08/01 19:53:31 - mmengine - INFO - Epoch(train) [58][840/940] lr: 6.0000e-03 eta: 5:51:43 time: 0.5259 data_time: 0.0438 memory: 13609 grad_norm: 3.1548 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.4795 loss: 1.4795 2022/08/01 19:53:41 - mmengine - INFO - Epoch(train) [58][860/940] lr: 6.0000e-03 eta: 5:51:32 time: 0.5037 data_time: 0.0418 memory: 13609 grad_norm: 3.2598 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3774 loss: 1.3774 2022/08/01 19:53:52 - mmengine - INFO - Epoch(train) [58][880/940] lr: 6.0000e-03 eta: 5:51:22 time: 0.5696 data_time: 0.0340 memory: 13609 grad_norm: 3.2398 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4255 loss: 1.4255 2022/08/01 19:54:02 - mmengine - INFO - Epoch(train) [58][900/940] lr: 6.0000e-03 eta: 5:51:11 time: 0.4785 data_time: 0.0354 memory: 13609 grad_norm: 3.2296 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3770 loss: 1.3770 2022/08/01 19:54:13 - mmengine - INFO - Epoch(train) [58][920/940] lr: 6.0000e-03 eta: 5:51:00 time: 0.5416 data_time: 0.0377 memory: 13609 grad_norm: 3.2302 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5174 loss: 1.5174 2022/08/01 19:54:21 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 19:54:21 - mmengine - INFO - Epoch(train) [58][940/940] lr: 6.0000e-03 eta: 5:50:48 time: 0.4398 data_time: 0.0487 memory: 13609 grad_norm: 3.4198 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3192 loss: 1.3192 2022/08/01 19:56:08 - mmengine - INFO - Epoch(val) [58][20/78] eta: 0:05:08 time: 5.3122 data_time: 4.5493 memory: 19674 2022/08/01 19:57:19 - mmengine - INFO - Epoch(val) [58][40/78] eta: 0:02:16 time: 3.5865 data_time: 2.8287 memory: 19674 2022/08/01 19:58:55 - mmengine - INFO - Epoch(val) [58][60/78] eta: 0:01:25 time: 4.7624 data_time: 4.0126 memory: 19674 2022/08/01 20:00:09 - mmengine - INFO - Epoch(val) [58][78/78] acc/top1: 0.7021 acc/top5: 0.8932 acc/mean1: 0.7020 2022/08/01 20:00:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_57.pth is removed 2022/08/01 20:00:36 - mmengine - INFO - The best checkpoint with 0.7021 acc/top1 at 59 epoch is saved to best_acc/top1_epoch_59.pth. 2022/08/01 20:00:49 - mmengine - INFO - Epoch(train) [59][20/940] lr: 6.0000e-03 eta: 5:50:39 time: 0.6403 data_time: 0.3248 memory: 19674 grad_norm: 3.3071 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3491 loss: 1.3491 2022/08/01 20:00:58 - mmengine - INFO - Epoch(train) [59][40/940] lr: 6.0000e-03 eta: 5:50:28 time: 0.4782 data_time: 0.1805 memory: 13609 grad_norm: 3.2538 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3471 loss: 1.3471 2022/08/01 20:01:10 - mmengine - INFO - Epoch(train) [59][60/940] lr: 6.0000e-03 eta: 5:50:18 time: 0.5759 data_time: 0.2782 memory: 13609 grad_norm: 3.1727 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4371 loss: 1.4371 2022/08/01 20:01:19 - mmengine - INFO - Epoch(train) [59][80/940] lr: 6.0000e-03 eta: 5:50:06 time: 0.4826 data_time: 0.1725 memory: 13609 grad_norm: 3.2080 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3765 loss: 1.3765 2022/08/01 20:01:30 - mmengine - INFO - Epoch(train) [59][100/940] lr: 6.0000e-03 eta: 5:49:56 time: 0.5500 data_time: 0.2543 memory: 13609 grad_norm: 3.2180 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5761 loss: 1.5761 2022/08/01 20:01:40 - mmengine - INFO - Epoch(train) [59][120/940] lr: 6.0000e-03 eta: 5:49:44 time: 0.4782 data_time: 0.1784 memory: 13609 grad_norm: 3.1819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3778 loss: 1.3778 2022/08/01 20:01:53 - mmengine - INFO - Epoch(train) [59][140/940] lr: 6.0000e-03 eta: 5:49:35 time: 0.6328 data_time: 0.2754 memory: 13609 grad_norm: 3.1702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2739 loss: 1.2739 2022/08/01 20:02:02 - mmengine - INFO - Epoch(train) [59][160/940] lr: 6.0000e-03 eta: 5:49:23 time: 0.4663 data_time: 0.1142 memory: 13609 grad_norm: 3.1846 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4045 loss: 1.4045 2022/08/01 20:02:13 - mmengine - INFO - Epoch(train) [59][180/940] lr: 6.0000e-03 eta: 5:49:13 time: 0.5263 data_time: 0.1068 memory: 13609 grad_norm: 3.2136 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4770 loss: 1.4770 2022/08/01 20:02:22 - mmengine - INFO - Epoch(train) [59][200/940] lr: 6.0000e-03 eta: 5:49:01 time: 0.4913 data_time: 0.1064 memory: 13609 grad_norm: 3.2299 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3708 loss: 1.3708 2022/08/01 20:02:34 - mmengine - INFO - Epoch(train) [59][220/940] lr: 6.0000e-03 eta: 5:48:52 time: 0.6012 data_time: 0.1650 memory: 13609 grad_norm: 3.1971 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3551 loss: 1.3551 2022/08/01 20:02:46 - mmengine - INFO - Epoch(train) [59][240/940] lr: 6.0000e-03 eta: 5:48:41 time: 0.5534 data_time: 0.0702 memory: 13609 grad_norm: 3.2779 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4826 loss: 1.4826 2022/08/01 20:02:56 - mmengine - INFO - Epoch(train) [59][260/940] lr: 6.0000e-03 eta: 5:48:31 time: 0.5375 data_time: 0.0406 memory: 13609 grad_norm: 3.2011 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5548 loss: 1.5548 2022/08/01 20:03:06 - mmengine - INFO - Epoch(train) [59][280/940] lr: 6.0000e-03 eta: 5:48:20 time: 0.5042 data_time: 0.0275 memory: 13609 grad_norm: 3.2809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4464 loss: 1.4464 2022/08/01 20:03:18 - mmengine - INFO - Epoch(train) [59][300/940] lr: 6.0000e-03 eta: 5:48:09 time: 0.5601 data_time: 0.0398 memory: 13609 grad_norm: 3.2534 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2580 loss: 1.2580 2022/08/01 20:03:27 - mmengine - INFO - Epoch(train) [59][320/940] lr: 6.0000e-03 eta: 5:47:58 time: 0.4537 data_time: 0.0431 memory: 13609 grad_norm: 3.2919 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4382 loss: 1.4382 2022/08/01 20:03:38 - mmengine - INFO - Epoch(train) [59][340/940] lr: 6.0000e-03 eta: 5:47:47 time: 0.5445 data_time: 0.0372 memory: 13609 grad_norm: 3.2557 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3011 loss: 1.3011 2022/08/01 20:03:47 - mmengine - INFO - Epoch(train) [59][360/940] lr: 6.0000e-03 eta: 5:47:36 time: 0.4911 data_time: 0.0458 memory: 13609 grad_norm: 3.2740 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5310 loss: 1.5310 2022/08/01 20:03:59 - mmengine - INFO - Epoch(train) [59][380/940] lr: 6.0000e-03 eta: 5:47:26 time: 0.5582 data_time: 0.0420 memory: 13609 grad_norm: 3.2738 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2152 loss: 1.2152 2022/08/01 20:04:09 - mmengine - INFO - Epoch(train) [59][400/940] lr: 6.0000e-03 eta: 5:47:15 time: 0.5315 data_time: 0.0386 memory: 13609 grad_norm: 3.2626 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3790 loss: 1.3790 2022/08/01 20:04:20 - mmengine - INFO - Epoch(train) [59][420/940] lr: 6.0000e-03 eta: 5:47:04 time: 0.5178 data_time: 0.0450 memory: 13609 grad_norm: 3.2418 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3998 loss: 1.3998 2022/08/01 20:04:31 - mmengine - INFO - Epoch(train) [59][440/940] lr: 6.0000e-03 eta: 5:46:54 time: 0.5737 data_time: 0.0472 memory: 13609 grad_norm: 3.3204 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4258 loss: 1.4258 2022/08/01 20:04:43 - mmengine - INFO - Epoch(train) [59][460/940] lr: 6.0000e-03 eta: 5:46:44 time: 0.5779 data_time: 0.1333 memory: 13609 grad_norm: 3.2068 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4086 loss: 1.4086 2022/08/01 20:04:54 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:04:54 - mmengine - INFO - Epoch(train) [59][480/940] lr: 6.0000e-03 eta: 5:46:34 time: 0.5603 data_time: 0.1600 memory: 13609 grad_norm: 3.2721 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4009 loss: 1.4009 2022/08/01 20:05:04 - mmengine - INFO - Epoch(train) [59][500/940] lr: 6.0000e-03 eta: 5:46:23 time: 0.5220 data_time: 0.1924 memory: 13609 grad_norm: 3.2905 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4096 loss: 1.4096 2022/08/01 20:05:16 - mmengine - INFO - Epoch(train) [59][520/940] lr: 6.0000e-03 eta: 5:46:13 time: 0.5691 data_time: 0.0704 memory: 13609 grad_norm: 3.2851 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5094 loss: 1.5094 2022/08/01 20:05:27 - mmengine - INFO - Epoch(train) [59][540/940] lr: 6.0000e-03 eta: 5:46:03 time: 0.5746 data_time: 0.0573 memory: 13609 grad_norm: 3.2518 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3723 loss: 1.3723 2022/08/01 20:05:38 - mmengine - INFO - Epoch(train) [59][560/940] lr: 6.0000e-03 eta: 5:45:52 time: 0.5578 data_time: 0.1698 memory: 13609 grad_norm: 3.3032 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3741 loss: 1.3741 2022/08/01 20:05:48 - mmengine - INFO - Epoch(train) [59][580/940] lr: 6.0000e-03 eta: 5:45:41 time: 0.4791 data_time: 0.1751 memory: 13609 grad_norm: 3.2744 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4180 loss: 1.4180 2022/08/01 20:05:59 - mmengine - INFO - Epoch(train) [59][600/940] lr: 6.0000e-03 eta: 5:45:31 time: 0.5792 data_time: 0.2843 memory: 13609 grad_norm: 3.2477 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/08/01 20:06:09 - mmengine - INFO - Epoch(train) [59][620/940] lr: 6.0000e-03 eta: 5:45:19 time: 0.4799 data_time: 0.1497 memory: 13609 grad_norm: 3.2697 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3498 loss: 1.3498 2022/08/01 20:06:21 - mmengine - INFO - Epoch(train) [59][640/940] lr: 6.0000e-03 eta: 5:45:09 time: 0.5733 data_time: 0.2003 memory: 13609 grad_norm: 3.2864 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3032 loss: 1.3032 2022/08/01 20:06:31 - mmengine - INFO - Epoch(train) [59][660/940] lr: 6.0000e-03 eta: 5:44:59 time: 0.5440 data_time: 0.1700 memory: 13609 grad_norm: 3.3087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2547 loss: 1.2547 2022/08/01 20:06:42 - mmengine - INFO - Epoch(train) [59][680/940] lr: 6.0000e-03 eta: 5:44:48 time: 0.5487 data_time: 0.2235 memory: 13609 grad_norm: 3.2431 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3511 loss: 1.3511 2022/08/01 20:06:52 - mmengine - INFO - Epoch(train) [59][700/940] lr: 6.0000e-03 eta: 5:44:37 time: 0.4670 data_time: 0.1695 memory: 13609 grad_norm: 3.2198 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2986 loss: 1.2986 2022/08/01 20:07:03 - mmengine - INFO - Epoch(train) [59][720/940] lr: 6.0000e-03 eta: 5:44:27 time: 0.5860 data_time: 0.2592 memory: 13609 grad_norm: 3.3055 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3069 loss: 1.3069 2022/08/01 20:07:13 - mmengine - INFO - Epoch(train) [59][740/940] lr: 6.0000e-03 eta: 5:44:15 time: 0.4523 data_time: 0.1187 memory: 13609 grad_norm: 3.3134 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4065 loss: 1.4065 2022/08/01 20:07:25 - mmengine - INFO - Epoch(train) [59][760/940] lr: 6.0000e-03 eta: 5:44:06 time: 0.6268 data_time: 0.2182 memory: 13609 grad_norm: 3.3096 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.3948 loss: 1.3948 2022/08/01 20:07:35 - mmengine - INFO - Epoch(train) [59][780/940] lr: 6.0000e-03 eta: 5:43:55 time: 0.5011 data_time: 0.1816 memory: 13609 grad_norm: 3.2675 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3920 loss: 1.3920 2022/08/01 20:07:47 - mmengine - INFO - Epoch(train) [59][800/940] lr: 6.0000e-03 eta: 5:43:45 time: 0.5886 data_time: 0.2808 memory: 13609 grad_norm: 3.2671 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3821 loss: 1.3821 2022/08/01 20:07:56 - mmengine - INFO - Epoch(train) [59][820/940] lr: 6.0000e-03 eta: 5:43:33 time: 0.4771 data_time: 0.1692 memory: 13609 grad_norm: 3.2965 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4864 loss: 1.4864 2022/08/01 20:08:08 - mmengine - INFO - Epoch(train) [59][840/940] lr: 6.0000e-03 eta: 5:43:23 time: 0.5768 data_time: 0.2625 memory: 13609 grad_norm: 3.2719 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5533 loss: 1.5533 2022/08/01 20:08:17 - mmengine - INFO - Epoch(train) [59][860/940] lr: 6.0000e-03 eta: 5:43:11 time: 0.4539 data_time: 0.1564 memory: 13609 grad_norm: 3.2828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4125 loss: 1.4125 2022/08/01 20:08:28 - mmengine - INFO - Epoch(train) [59][880/940] lr: 6.0000e-03 eta: 5:43:01 time: 0.5296 data_time: 0.2143 memory: 13609 grad_norm: 3.2707 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5354 loss: 1.5354 2022/08/01 20:08:38 - mmengine - INFO - Epoch(train) [59][900/940] lr: 6.0000e-03 eta: 5:42:50 time: 0.5317 data_time: 0.1921 memory: 13609 grad_norm: 3.3029 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4308 loss: 1.4308 2022/08/01 20:08:48 - mmengine - INFO - Epoch(train) [59][920/940] lr: 6.0000e-03 eta: 5:42:39 time: 0.4952 data_time: 0.1764 memory: 13609 grad_norm: 3.3802 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4744 loss: 1.4744 2022/08/01 20:08:57 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:08:57 - mmengine - INFO - Epoch(train) [59][940/940] lr: 6.0000e-03 eta: 5:42:27 time: 0.4258 data_time: 0.1266 memory: 13609 grad_norm: 3.4919 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4373 loss: 1.4373 2022/08/01 20:10:43 - mmengine - INFO - Epoch(val) [59][20/78] eta: 0:05:07 time: 5.2985 data_time: 4.5366 memory: 19674 2022/08/01 20:11:55 - mmengine - INFO - Epoch(val) [59][40/78] eta: 0:02:16 time: 3.5957 data_time: 2.8379 memory: 19674 2022/08/01 20:13:31 - mmengine - INFO - Epoch(val) [59][60/78] eta: 0:01:27 time: 4.8393 data_time: 4.0756 memory: 19674 2022/08/01 20:14:49 - mmengine - INFO - Epoch(val) [59][78/78] acc/top1: 0.6987 acc/top5: 0.8923 acc/mean1: 0.6987 2022/08/01 20:15:04 - mmengine - INFO - Epoch(train) [60][20/940] lr: 6.0000e-03 eta: 5:42:18 time: 0.6894 data_time: 0.4015 memory: 19674 grad_norm: 3.3727 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4639 loss: 1.4639 2022/08/01 20:15:13 - mmengine - INFO - Epoch(train) [60][40/940] lr: 6.0000e-03 eta: 5:42:07 time: 0.4693 data_time: 0.1452 memory: 13609 grad_norm: 3.3033 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4592 loss: 1.4592 2022/08/01 20:15:25 - mmengine - INFO - Epoch(train) [60][60/940] lr: 6.0000e-03 eta: 5:41:56 time: 0.5693 data_time: 0.2464 memory: 13609 grad_norm: 3.2674 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2687 loss: 1.2687 2022/08/01 20:15:35 - mmengine - INFO - Epoch(train) [60][80/940] lr: 6.0000e-03 eta: 5:41:45 time: 0.5107 data_time: 0.1560 memory: 13609 grad_norm: 3.2272 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3603 loss: 1.3603 2022/08/01 20:15:46 - mmengine - INFO - Epoch(train) [60][100/940] lr: 6.0000e-03 eta: 5:41:35 time: 0.5466 data_time: 0.1757 memory: 13609 grad_norm: 3.2161 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1758 loss: 1.1758 2022/08/01 20:15:56 - mmengine - INFO - Epoch(train) [60][120/940] lr: 6.0000e-03 eta: 5:41:24 time: 0.5222 data_time: 0.1107 memory: 13609 grad_norm: 3.2559 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.3423 loss: 1.3423 2022/08/01 20:16:08 - mmengine - INFO - Epoch(train) [60][140/940] lr: 6.0000e-03 eta: 5:41:14 time: 0.5667 data_time: 0.0391 memory: 13609 grad_norm: 3.3503 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4217 loss: 1.4217 2022/08/01 20:16:18 - mmengine - INFO - Epoch(train) [60][160/940] lr: 6.0000e-03 eta: 5:41:03 time: 0.4996 data_time: 0.0357 memory: 13609 grad_norm: 3.2431 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4603 loss: 1.4603 2022/08/01 20:16:29 - mmengine - INFO - Epoch(train) [60][180/940] lr: 6.0000e-03 eta: 5:40:53 time: 0.5875 data_time: 0.0481 memory: 13609 grad_norm: 3.2638 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3717 loss: 1.3717 2022/08/01 20:16:39 - mmengine - INFO - Epoch(train) [60][200/940] lr: 6.0000e-03 eta: 5:40:41 time: 0.4776 data_time: 0.0638 memory: 13609 grad_norm: 3.3410 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4468 loss: 1.4468 2022/08/01 20:16:49 - mmengine - INFO - Epoch(train) [60][220/940] lr: 6.0000e-03 eta: 5:40:31 time: 0.5274 data_time: 0.2053 memory: 13609 grad_norm: 3.2257 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4591 loss: 1.4591 2022/08/01 20:16:59 - mmengine - INFO - Epoch(train) [60][240/940] lr: 6.0000e-03 eta: 5:40:19 time: 0.4872 data_time: 0.0374 memory: 13609 grad_norm: 3.4388 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5224 loss: 1.5224 2022/08/01 20:17:10 - mmengine - INFO - Epoch(train) [60][260/940] lr: 6.0000e-03 eta: 5:40:09 time: 0.5625 data_time: 0.0934 memory: 13609 grad_norm: 3.3022 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3813 loss: 1.3813 2022/08/01 20:17:21 - mmengine - INFO - Epoch(train) [60][280/940] lr: 6.0000e-03 eta: 5:39:58 time: 0.5073 data_time: 0.0432 memory: 13609 grad_norm: 3.3186 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4264 loss: 1.4264 2022/08/01 20:17:33 - mmengine - INFO - Epoch(train) [60][300/940] lr: 6.0000e-03 eta: 5:39:49 time: 0.6174 data_time: 0.1753 memory: 13609 grad_norm: 3.3310 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3225 loss: 1.3225 2022/08/01 20:17:42 - mmengine - INFO - Epoch(train) [60][320/940] lr: 6.0000e-03 eta: 5:39:37 time: 0.4784 data_time: 0.1238 memory: 13609 grad_norm: 3.3472 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4121 loss: 1.4121 2022/08/01 20:17:53 - mmengine - INFO - Epoch(train) [60][340/940] lr: 6.0000e-03 eta: 5:39:27 time: 0.5396 data_time: 0.1783 memory: 13609 grad_norm: 3.3297 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3104 loss: 1.3104 2022/08/01 20:18:04 - mmengine - INFO - Epoch(train) [60][360/940] lr: 6.0000e-03 eta: 5:39:16 time: 0.5442 data_time: 0.2622 memory: 13609 grad_norm: 3.3338 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4856 loss: 1.4856 2022/08/01 20:18:15 - mmengine - INFO - Epoch(train) [60][380/940] lr: 6.0000e-03 eta: 5:39:06 time: 0.5625 data_time: 0.2575 memory: 13609 grad_norm: 3.3348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4389 loss: 1.4389 2022/08/01 20:18:25 - mmengine - INFO - Epoch(train) [60][400/940] lr: 6.0000e-03 eta: 5:38:55 time: 0.4892 data_time: 0.1830 memory: 13609 grad_norm: 3.2820 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4283 loss: 1.4283 2022/08/01 20:18:37 - mmengine - INFO - Epoch(train) [60][420/940] lr: 6.0000e-03 eta: 5:38:44 time: 0.5622 data_time: 0.2007 memory: 13609 grad_norm: 3.2896 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4584 loss: 1.4584 2022/08/01 20:18:46 - mmengine - INFO - Epoch(train) [60][440/940] lr: 6.0000e-03 eta: 5:38:33 time: 0.4806 data_time: 0.0741 memory: 13609 grad_norm: 3.3876 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3906 loss: 1.3906 2022/08/01 20:18:57 - mmengine - INFO - Epoch(train) [60][460/940] lr: 6.0000e-03 eta: 5:38:23 time: 0.5504 data_time: 0.0354 memory: 13609 grad_norm: 3.3904 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5760 loss: 1.5760 2022/08/01 20:19:07 - mmengine - INFO - Epoch(train) [60][480/940] lr: 6.0000e-03 eta: 5:38:11 time: 0.4894 data_time: 0.0453 memory: 13609 grad_norm: 3.2876 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3330 loss: 1.3330 2022/08/01 20:19:20 - mmengine - INFO - Epoch(train) [60][500/940] lr: 6.0000e-03 eta: 5:38:02 time: 0.6644 data_time: 0.0370 memory: 13609 grad_norm: 3.2742 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3556 loss: 1.3556 2022/08/01 20:19:30 - mmengine - INFO - Epoch(train) [60][520/940] lr: 6.0000e-03 eta: 5:37:51 time: 0.4694 data_time: 0.0290 memory: 13609 grad_norm: 3.3035 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4314 loss: 1.4314 2022/08/01 20:19:40 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:19:40 - mmengine - INFO - Epoch(train) [60][540/940] lr: 6.0000e-03 eta: 5:37:40 time: 0.5417 data_time: 0.1194 memory: 13609 grad_norm: 3.3146 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3587 loss: 1.3587 2022/08/01 20:19:50 - mmengine - INFO - Epoch(train) [60][560/940] lr: 6.0000e-03 eta: 5:37:29 time: 0.4772 data_time: 0.0439 memory: 13609 grad_norm: 3.2998 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5797 loss: 1.5797 2022/08/01 20:20:01 - mmengine - INFO - Epoch(train) [60][580/940] lr: 6.0000e-03 eta: 5:37:19 time: 0.5662 data_time: 0.0364 memory: 13609 grad_norm: 3.3150 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3141 loss: 1.3141 2022/08/01 20:20:12 - mmengine - INFO - Epoch(train) [60][600/940] lr: 6.0000e-03 eta: 5:37:08 time: 0.5159 data_time: 0.0385 memory: 13609 grad_norm: 3.3088 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4279 loss: 1.4279 2022/08/01 20:20:24 - mmengine - INFO - Epoch(train) [60][620/940] lr: 6.0000e-03 eta: 5:36:58 time: 0.6168 data_time: 0.0292 memory: 13609 grad_norm: 3.3254 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3704 loss: 1.3704 2022/08/01 20:20:33 - mmengine - INFO - Epoch(train) [60][640/940] lr: 6.0000e-03 eta: 5:36:46 time: 0.4269 data_time: 0.0347 memory: 13609 grad_norm: 3.3297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3689 loss: 1.3689 2022/08/01 20:20:44 - mmengine - INFO - Epoch(train) [60][660/940] lr: 6.0000e-03 eta: 5:36:36 time: 0.5743 data_time: 0.0380 memory: 13609 grad_norm: 3.3200 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.3833 loss: 1.3833 2022/08/01 20:20:54 - mmengine - INFO - Epoch(train) [60][680/940] lr: 6.0000e-03 eta: 5:36:25 time: 0.4753 data_time: 0.0357 memory: 13609 grad_norm: 3.3234 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.4208 loss: 1.4208 2022/08/01 20:21:06 - mmengine - INFO - Epoch(train) [60][700/940] lr: 6.0000e-03 eta: 5:36:15 time: 0.6000 data_time: 0.2677 memory: 13609 grad_norm: 3.2938 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3482 loss: 1.3482 2022/08/01 20:21:16 - mmengine - INFO - Epoch(train) [60][720/940] lr: 6.0000e-03 eta: 5:36:04 time: 0.5352 data_time: 0.0422 memory: 13609 grad_norm: 3.2694 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4230 loss: 1.4230 2022/08/01 20:21:28 - mmengine - INFO - Epoch(train) [60][740/940] lr: 6.0000e-03 eta: 5:35:54 time: 0.5689 data_time: 0.0436 memory: 13609 grad_norm: 3.3224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/08/01 20:21:42 - mmengine - INFO - Epoch(train) [60][760/940] lr: 6.0000e-03 eta: 5:35:46 time: 0.7249 data_time: 0.0340 memory: 13609 grad_norm: 3.2472 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3591 loss: 1.3591 2022/08/01 20:21:51 - mmengine - INFO - Epoch(train) [60][780/940] lr: 6.0000e-03 eta: 5:35:34 time: 0.4483 data_time: 0.0356 memory: 13609 grad_norm: 3.2627 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3532 loss: 1.3532 2022/08/01 20:22:02 - mmengine - INFO - Epoch(train) [60][800/940] lr: 6.0000e-03 eta: 5:35:23 time: 0.5324 data_time: 0.2473 memory: 13609 grad_norm: 3.2068 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4493 loss: 1.4493 2022/08/01 20:22:12 - mmengine - INFO - Epoch(train) [60][820/940] lr: 6.0000e-03 eta: 5:35:13 time: 0.5145 data_time: 0.0766 memory: 13609 grad_norm: 3.3633 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4466 loss: 1.4466 2022/08/01 20:22:23 - mmengine - INFO - Epoch(train) [60][840/940] lr: 6.0000e-03 eta: 5:35:02 time: 0.5700 data_time: 0.0699 memory: 13609 grad_norm: 3.3524 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3205 loss: 1.3205 2022/08/01 20:22:33 - mmengine - INFO - Epoch(train) [60][860/940] lr: 6.0000e-03 eta: 5:34:51 time: 0.4974 data_time: 0.0677 memory: 13609 grad_norm: 3.2813 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4565 loss: 1.4565 2022/08/01 20:22:45 - mmengine - INFO - Epoch(train) [60][880/940] lr: 6.0000e-03 eta: 5:34:41 time: 0.5851 data_time: 0.0522 memory: 13609 grad_norm: 3.3010 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2714 loss: 1.2714 2022/08/01 20:22:55 - mmengine - INFO - Epoch(train) [60][900/940] lr: 6.0000e-03 eta: 5:34:30 time: 0.4995 data_time: 0.0364 memory: 13609 grad_norm: 3.3698 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4657 loss: 1.4657 2022/08/01 20:23:06 - mmengine - INFO - Epoch(train) [60][920/940] lr: 6.0000e-03 eta: 5:34:20 time: 0.5608 data_time: 0.0370 memory: 13609 grad_norm: 3.2762 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4187 loss: 1.4187 2022/08/01 20:23:15 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:23:15 - mmengine - INFO - Epoch(train) [60][940/940] lr: 6.0000e-03 eta: 5:34:08 time: 0.4407 data_time: 0.0244 memory: 13609 grad_norm: 3.5506 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2913 loss: 1.2913 2022/08/01 20:23:15 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/01 20:25:02 - mmengine - INFO - Epoch(val) [60][20/78] eta: 0:05:05 time: 5.2732 data_time: 4.5286 memory: 19674 2022/08/01 20:26:15 - mmengine - INFO - Epoch(val) [60][40/78] eta: 0:02:18 time: 3.6419 data_time: 2.9004 memory: 19674 2022/08/01 20:27:51 - mmengine - INFO - Epoch(val) [60][60/78] eta: 0:01:26 time: 4.7911 data_time: 4.0506 memory: 19674 2022/08/01 20:29:04 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.7016 acc/top5: 0.8918 acc/mean1: 0.7014 2022/08/01 20:29:18 - mmengine - INFO - Epoch(train) [61][20/940] lr: 6.0000e-03 eta: 5:33:59 time: 0.6749 data_time: 0.3371 memory: 19674 grad_norm: 3.2531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2385 loss: 1.2385 2022/08/01 20:29:28 - mmengine - INFO - Epoch(train) [61][40/940] lr: 6.0000e-03 eta: 5:33:48 time: 0.4874 data_time: 0.1410 memory: 13609 grad_norm: 3.3527 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3170 loss: 1.3170 2022/08/01 20:29:40 - mmengine - INFO - Epoch(train) [61][60/940] lr: 6.0000e-03 eta: 5:33:38 time: 0.5896 data_time: 0.1829 memory: 13609 grad_norm: 3.2930 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4259 loss: 1.4259 2022/08/01 20:29:49 - mmengine - INFO - Epoch(train) [61][80/940] lr: 6.0000e-03 eta: 5:33:27 time: 0.4720 data_time: 0.1118 memory: 13609 grad_norm: 3.3261 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/08/01 20:30:01 - mmengine - INFO - Epoch(train) [61][100/940] lr: 6.0000e-03 eta: 5:33:17 time: 0.5914 data_time: 0.1309 memory: 13609 grad_norm: 3.3288 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4595 loss: 1.4595 2022/08/01 20:30:12 - mmengine - INFO - Epoch(train) [61][120/940] lr: 6.0000e-03 eta: 5:33:06 time: 0.5573 data_time: 0.0642 memory: 13609 grad_norm: 3.3410 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5100 loss: 1.5100 2022/08/01 20:30:23 - mmengine - INFO - Epoch(train) [61][140/940] lr: 6.0000e-03 eta: 5:32:56 time: 0.5509 data_time: 0.0349 memory: 13609 grad_norm: 3.3145 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4506 loss: 1.4506 2022/08/01 20:30:32 - mmengine - INFO - Epoch(train) [61][160/940] lr: 6.0000e-03 eta: 5:32:44 time: 0.4412 data_time: 0.0471 memory: 13609 grad_norm: 3.3453 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2944 loss: 1.2944 2022/08/01 20:30:44 - mmengine - INFO - Epoch(train) [61][180/940] lr: 6.0000e-03 eta: 5:32:34 time: 0.5911 data_time: 0.1816 memory: 13609 grad_norm: 3.2622 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.4510 loss: 1.4510 2022/08/01 20:30:53 - mmengine - INFO - Epoch(train) [61][200/940] lr: 6.0000e-03 eta: 5:32:23 time: 0.4653 data_time: 0.1286 memory: 13609 grad_norm: 3.3428 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4182 loss: 1.4182 2022/08/01 20:31:05 - mmengine - INFO - Epoch(train) [61][220/940] lr: 6.0000e-03 eta: 5:32:12 time: 0.5734 data_time: 0.2341 memory: 13609 grad_norm: 3.3645 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3114 loss: 1.3114 2022/08/01 20:31:14 - mmengine - INFO - Epoch(train) [61][240/940] lr: 6.0000e-03 eta: 5:32:01 time: 0.4527 data_time: 0.1531 memory: 13609 grad_norm: 3.3076 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3516 loss: 1.3516 2022/08/01 20:31:25 - mmengine - INFO - Epoch(train) [61][260/940] lr: 6.0000e-03 eta: 5:31:50 time: 0.5540 data_time: 0.1666 memory: 13609 grad_norm: 3.3496 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4129 loss: 1.4129 2022/08/01 20:31:35 - mmengine - INFO - Epoch(train) [61][280/940] lr: 6.0000e-03 eta: 5:31:39 time: 0.5130 data_time: 0.0598 memory: 13609 grad_norm: 3.4246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3904 loss: 1.3904 2022/08/01 20:31:46 - mmengine - INFO - Epoch(train) [61][300/940] lr: 6.0000e-03 eta: 5:31:29 time: 0.5362 data_time: 0.0357 memory: 13609 grad_norm: 3.3671 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4400 loss: 1.4400 2022/08/01 20:31:55 - mmengine - INFO - Epoch(train) [61][320/940] lr: 6.0000e-03 eta: 5:31:17 time: 0.4747 data_time: 0.0294 memory: 13609 grad_norm: 3.4005 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2498 loss: 1.2498 2022/08/01 20:32:07 - mmengine - INFO - Epoch(train) [61][340/940] lr: 6.0000e-03 eta: 5:31:07 time: 0.5893 data_time: 0.1061 memory: 13609 grad_norm: 3.4279 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3207 loss: 1.3207 2022/08/01 20:32:18 - mmengine - INFO - Epoch(train) [61][360/940] lr: 6.0000e-03 eta: 5:30:56 time: 0.5203 data_time: 0.0356 memory: 13609 grad_norm: 3.3881 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2744 loss: 1.2744 2022/08/01 20:32:29 - mmengine - INFO - Epoch(train) [61][380/940] lr: 6.0000e-03 eta: 5:30:46 time: 0.5537 data_time: 0.0390 memory: 13609 grad_norm: 3.2842 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3870 loss: 1.3870 2022/08/01 20:32:39 - mmengine - INFO - Epoch(train) [61][400/940] lr: 6.0000e-03 eta: 5:30:35 time: 0.5104 data_time: 0.0316 memory: 13609 grad_norm: 3.4399 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3893 loss: 1.3893 2022/08/01 20:32:51 - mmengine - INFO - Epoch(train) [61][420/940] lr: 6.0000e-03 eta: 5:30:25 time: 0.5793 data_time: 0.0331 memory: 13609 grad_norm: 3.3259 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3734 loss: 1.3734 2022/08/01 20:33:01 - mmengine - INFO - Epoch(train) [61][440/940] lr: 6.0000e-03 eta: 5:30:14 time: 0.5065 data_time: 0.0427 memory: 13609 grad_norm: 3.3305 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4765 loss: 1.4765 2022/08/01 20:33:11 - mmengine - INFO - Epoch(train) [61][460/940] lr: 6.0000e-03 eta: 5:30:03 time: 0.5341 data_time: 0.0334 memory: 13609 grad_norm: 3.3634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/08/01 20:33:22 - mmengine - INFO - Epoch(train) [61][480/940] lr: 6.0000e-03 eta: 5:29:53 time: 0.5255 data_time: 0.0391 memory: 13609 grad_norm: 3.3116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3668 loss: 1.3668 2022/08/01 20:33:33 - mmengine - INFO - Epoch(train) [61][500/940] lr: 6.0000e-03 eta: 5:29:42 time: 0.5554 data_time: 0.0318 memory: 13609 grad_norm: 3.3790 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4577 loss: 1.4577 2022/08/01 20:33:42 - mmengine - INFO - Epoch(train) [61][520/940] lr: 6.0000e-03 eta: 5:29:31 time: 0.4737 data_time: 0.0376 memory: 13609 grad_norm: 3.3854 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2808 loss: 1.2808 2022/08/01 20:33:54 - mmengine - INFO - Epoch(train) [61][540/940] lr: 6.0000e-03 eta: 5:29:21 time: 0.5628 data_time: 0.0405 memory: 13609 grad_norm: 3.4081 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4004 loss: 1.4004 2022/08/01 20:34:04 - mmengine - INFO - Epoch(train) [61][560/940] lr: 6.0000e-03 eta: 5:29:09 time: 0.4975 data_time: 0.0418 memory: 13609 grad_norm: 3.3948 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4254 loss: 1.4254 2022/08/01 20:34:15 - mmengine - INFO - Epoch(train) [61][580/940] lr: 6.0000e-03 eta: 5:28:59 time: 0.5477 data_time: 0.0325 memory: 13609 grad_norm: 3.3643 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4696 loss: 1.4696 2022/08/01 20:34:24 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:34:24 - mmengine - INFO - Epoch(train) [61][600/940] lr: 6.0000e-03 eta: 5:28:48 time: 0.4848 data_time: 0.0422 memory: 13609 grad_norm: 3.3908 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4063 loss: 1.4063 2022/08/01 20:34:36 - mmengine - INFO - Epoch(train) [61][620/940] lr: 6.0000e-03 eta: 5:28:38 time: 0.6066 data_time: 0.0344 memory: 13609 grad_norm: 3.3296 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3953 loss: 1.3953 2022/08/01 20:34:44 - mmengine - INFO - Epoch(train) [61][640/940] lr: 6.0000e-03 eta: 5:28:25 time: 0.3752 data_time: 0.0345 memory: 13609 grad_norm: 3.3693 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4192 loss: 1.4192 2022/08/01 20:34:55 - mmengine - INFO - Epoch(train) [61][660/940] lr: 6.0000e-03 eta: 5:28:15 time: 0.5371 data_time: 0.0402 memory: 13609 grad_norm: 3.4686 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3426 loss: 1.3426 2022/08/01 20:35:05 - mmengine - INFO - Epoch(train) [61][680/940] lr: 6.0000e-03 eta: 5:28:04 time: 0.5162 data_time: 0.0886 memory: 13609 grad_norm: 3.3723 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3457 loss: 1.3457 2022/08/01 20:35:16 - mmengine - INFO - Epoch(train) [61][700/940] lr: 6.0000e-03 eta: 5:27:53 time: 0.5515 data_time: 0.1208 memory: 13609 grad_norm: 3.3842 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3889 loss: 1.3889 2022/08/01 20:35:27 - mmengine - INFO - Epoch(train) [61][720/940] lr: 6.0000e-03 eta: 5:27:43 time: 0.5430 data_time: 0.0315 memory: 13609 grad_norm: 3.3212 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2903 loss: 1.2903 2022/08/01 20:35:37 - mmengine - INFO - Epoch(train) [61][740/940] lr: 6.0000e-03 eta: 5:27:32 time: 0.5048 data_time: 0.0408 memory: 13609 grad_norm: 3.4514 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5218 loss: 1.5218 2022/08/01 20:35:48 - mmengine - INFO - Epoch(train) [61][760/940] lr: 6.0000e-03 eta: 5:27:22 time: 0.5736 data_time: 0.0353 memory: 13609 grad_norm: 3.2781 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3486 loss: 1.3486 2022/08/01 20:36:00 - mmengine - INFO - Epoch(train) [61][780/940] lr: 6.0000e-03 eta: 5:27:11 time: 0.5561 data_time: 0.0424 memory: 13609 grad_norm: 3.4113 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3665 loss: 1.3665 2022/08/01 20:36:10 - mmengine - INFO - Epoch(train) [61][800/940] lr: 6.0000e-03 eta: 5:27:00 time: 0.5055 data_time: 0.0415 memory: 13609 grad_norm: 3.4306 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.3068 loss: 1.3068 2022/08/01 20:36:22 - mmengine - INFO - Epoch(train) [61][820/940] lr: 6.0000e-03 eta: 5:26:50 time: 0.5992 data_time: 0.0328 memory: 13609 grad_norm: 3.4086 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5537 loss: 1.5537 2022/08/01 20:36:30 - mmengine - INFO - Epoch(train) [61][840/940] lr: 6.0000e-03 eta: 5:26:39 time: 0.4397 data_time: 0.0368 memory: 13609 grad_norm: 3.2863 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2184 loss: 1.2184 2022/08/01 20:36:41 - mmengine - INFO - Epoch(train) [61][860/940] lr: 6.0000e-03 eta: 5:26:28 time: 0.5204 data_time: 0.0322 memory: 13609 grad_norm: 3.3721 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4233 loss: 1.4233 2022/08/01 20:36:51 - mmengine - INFO - Epoch(train) [61][880/940] lr: 6.0000e-03 eta: 5:26:17 time: 0.5236 data_time: 0.0475 memory: 13609 grad_norm: 3.3937 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3071 loss: 1.3071 2022/08/01 20:37:02 - mmengine - INFO - Epoch(train) [61][900/940] lr: 6.0000e-03 eta: 5:26:06 time: 0.5401 data_time: 0.0277 memory: 13609 grad_norm: 3.3946 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4549 loss: 1.4549 2022/08/01 20:37:12 - mmengine - INFO - Epoch(train) [61][920/940] lr: 6.0000e-03 eta: 5:25:55 time: 0.4844 data_time: 0.0367 memory: 13609 grad_norm: 3.4207 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4245 loss: 1.4245 2022/08/01 20:37:21 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:37:21 - mmengine - INFO - Epoch(train) [61][940/940] lr: 6.0000e-03 eta: 5:25:44 time: 0.4693 data_time: 0.0248 memory: 13609 grad_norm: 3.5145 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4055 loss: 1.4055 2022/08/01 20:39:07 - mmengine - INFO - Epoch(val) [61][20/78] eta: 0:05:05 time: 5.2654 data_time: 4.5045 memory: 19674 2022/08/01 20:40:19 - mmengine - INFO - Epoch(val) [61][40/78] eta: 0:02:16 time: 3.5959 data_time: 2.8421 memory: 19674 2022/08/01 20:41:55 - mmengine - INFO - Epoch(val) [61][60/78] eta: 0:01:26 time: 4.8250 data_time: 4.0728 memory: 19674 2022/08/01 20:43:08 - mmengine - INFO - Epoch(val) [61][78/78] acc/top1: 0.7003 acc/top5: 0.8930 acc/mean1: 0.7002 2022/08/01 20:43:23 - mmengine - INFO - Epoch(train) [62][20/940] lr: 6.0000e-03 eta: 5:25:35 time: 0.7194 data_time: 0.2875 memory: 19674 grad_norm: 3.3841 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2513 loss: 1.2513 2022/08/01 20:43:33 - mmengine - INFO - Epoch(train) [62][40/940] lr: 6.0000e-03 eta: 5:25:24 time: 0.5220 data_time: 0.1478 memory: 13609 grad_norm: 3.3059 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2383 loss: 1.2383 2022/08/01 20:43:45 - mmengine - INFO - Epoch(train) [62][60/940] lr: 6.0000e-03 eta: 5:25:14 time: 0.5610 data_time: 0.1378 memory: 13609 grad_norm: 3.3503 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3686 loss: 1.3686 2022/08/01 20:43:54 - mmengine - INFO - Epoch(train) [62][80/940] lr: 6.0000e-03 eta: 5:25:03 time: 0.4584 data_time: 0.0760 memory: 13609 grad_norm: 3.3307 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2718 loss: 1.2718 2022/08/01 20:44:05 - mmengine - INFO - Epoch(train) [62][100/940] lr: 6.0000e-03 eta: 5:24:52 time: 0.5792 data_time: 0.0802 memory: 13609 grad_norm: 3.3556 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3768 loss: 1.3768 2022/08/01 20:44:15 - mmengine - INFO - Epoch(train) [62][120/940] lr: 6.0000e-03 eta: 5:24:41 time: 0.4756 data_time: 0.0368 memory: 13609 grad_norm: 3.3260 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3804 loss: 1.3804 2022/08/01 20:44:27 - mmengine - INFO - Epoch(train) [62][140/940] lr: 6.0000e-03 eta: 5:24:31 time: 0.5988 data_time: 0.0367 memory: 13609 grad_norm: 3.3834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3778 loss: 1.3778 2022/08/01 20:44:36 - mmengine - INFO - Epoch(train) [62][160/940] lr: 6.0000e-03 eta: 5:24:20 time: 0.4727 data_time: 0.0381 memory: 13609 grad_norm: 3.3191 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4197 loss: 1.4197 2022/08/01 20:44:48 - mmengine - INFO - Epoch(train) [62][180/940] lr: 6.0000e-03 eta: 5:24:10 time: 0.5789 data_time: 0.0350 memory: 13609 grad_norm: 3.4112 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4780 loss: 1.4780 2022/08/01 20:44:57 - mmengine - INFO - Epoch(train) [62][200/940] lr: 6.0000e-03 eta: 5:23:58 time: 0.4650 data_time: 0.0345 memory: 13609 grad_norm: 3.2939 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4108 loss: 1.4108 2022/08/01 20:45:09 - mmengine - INFO - Epoch(train) [62][220/940] lr: 6.0000e-03 eta: 5:23:48 time: 0.5684 data_time: 0.0363 memory: 13609 grad_norm: 3.3865 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4385 loss: 1.4385 2022/08/01 20:45:19 - mmengine - INFO - Epoch(train) [62][240/940] lr: 6.0000e-03 eta: 5:23:37 time: 0.4954 data_time: 0.0305 memory: 13609 grad_norm: 3.3756 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2755 loss: 1.2755 2022/08/01 20:45:30 - mmengine - INFO - Epoch(train) [62][260/940] lr: 6.0000e-03 eta: 5:23:27 time: 0.5746 data_time: 0.0488 memory: 13609 grad_norm: 3.3641 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4029 loss: 1.4029 2022/08/01 20:45:40 - mmengine - INFO - Epoch(train) [62][280/940] lr: 6.0000e-03 eta: 5:23:16 time: 0.4903 data_time: 0.0450 memory: 13609 grad_norm: 3.4012 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3192 loss: 1.3192 2022/08/01 20:45:51 - mmengine - INFO - Epoch(train) [62][300/940] lr: 6.0000e-03 eta: 5:23:05 time: 0.5587 data_time: 0.0348 memory: 13609 grad_norm: 3.4324 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4867 loss: 1.4867 2022/08/01 20:46:01 - mmengine - INFO - Epoch(train) [62][320/940] lr: 6.0000e-03 eta: 5:22:54 time: 0.4886 data_time: 0.0315 memory: 13609 grad_norm: 3.3729 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3416 loss: 1.3416 2022/08/01 20:46:14 - mmengine - INFO - Epoch(train) [62][340/940] lr: 6.0000e-03 eta: 5:22:45 time: 0.6383 data_time: 0.0281 memory: 13609 grad_norm: 3.3633 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4145 loss: 1.4145 2022/08/01 20:46:23 - mmengine - INFO - Epoch(train) [62][360/940] lr: 6.0000e-03 eta: 5:22:33 time: 0.4771 data_time: 0.0297 memory: 13609 grad_norm: 3.4477 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3187 loss: 1.3187 2022/08/01 20:46:34 - mmengine - INFO - Epoch(train) [62][380/940] lr: 6.0000e-03 eta: 5:22:23 time: 0.5484 data_time: 0.0372 memory: 13609 grad_norm: 3.4030 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2465 loss: 1.2465 2022/08/01 20:46:43 - mmengine - INFO - Epoch(train) [62][400/940] lr: 6.0000e-03 eta: 5:22:11 time: 0.4607 data_time: 0.0417 memory: 13609 grad_norm: 3.3572 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3612 loss: 1.3612 2022/08/01 20:46:55 - mmengine - INFO - Epoch(train) [62][420/940] lr: 6.0000e-03 eta: 5:22:01 time: 0.5657 data_time: 0.0275 memory: 13609 grad_norm: 3.4297 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4513 loss: 1.4513 2022/08/01 20:47:05 - mmengine - INFO - Epoch(train) [62][440/940] lr: 6.0000e-03 eta: 5:21:50 time: 0.5026 data_time: 0.0339 memory: 13609 grad_norm: 3.3546 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4097 loss: 1.4097 2022/08/01 20:47:16 - mmengine - INFO - Epoch(train) [62][460/940] lr: 6.0000e-03 eta: 5:21:40 time: 0.5837 data_time: 0.0286 memory: 13609 grad_norm: 3.4118 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4130 loss: 1.4130 2022/08/01 20:47:26 - mmengine - INFO - Epoch(train) [62][480/940] lr: 6.0000e-03 eta: 5:21:29 time: 0.4830 data_time: 0.0343 memory: 13609 grad_norm: 3.3785 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/08/01 20:47:38 - mmengine - INFO - Epoch(train) [62][500/940] lr: 6.0000e-03 eta: 5:21:19 time: 0.5885 data_time: 0.0365 memory: 13609 grad_norm: 3.3558 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3946 loss: 1.3946 2022/08/01 20:47:48 - mmengine - INFO - Epoch(train) [62][520/940] lr: 6.0000e-03 eta: 5:21:08 time: 0.5243 data_time: 0.0364 memory: 13609 grad_norm: 3.4519 top1_acc: 0.6562 top5_acc: 0.6875 loss_cls: 1.5282 loss: 1.5282 2022/08/01 20:47:58 - mmengine - INFO - Epoch(train) [62][540/940] lr: 6.0000e-03 eta: 5:20:56 time: 0.4731 data_time: 0.0321 memory: 13609 grad_norm: 3.4437 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2901 loss: 1.2901 2022/08/01 20:48:10 - mmengine - INFO - Epoch(train) [62][560/940] lr: 6.0000e-03 eta: 5:20:47 time: 0.5956 data_time: 0.0456 memory: 13609 grad_norm: 3.4215 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4331 loss: 1.4331 2022/08/01 20:48:20 - mmengine - INFO - Epoch(train) [62][580/940] lr: 6.0000e-03 eta: 5:20:35 time: 0.4982 data_time: 0.0367 memory: 13609 grad_norm: 3.4432 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2128 loss: 1.2128 2022/08/01 20:48:30 - mmengine - INFO - Epoch(train) [62][600/940] lr: 6.0000e-03 eta: 5:20:25 time: 0.5247 data_time: 0.0361 memory: 13609 grad_norm: 3.4510 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3665 loss: 1.3665 2022/08/01 20:48:41 - mmengine - INFO - Epoch(train) [62][620/940] lr: 6.0000e-03 eta: 5:20:14 time: 0.5399 data_time: 0.0359 memory: 13609 grad_norm: 3.4367 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3015 loss: 1.3015 2022/08/01 20:48:51 - mmengine - INFO - Epoch(train) [62][640/940] lr: 6.0000e-03 eta: 5:20:03 time: 0.4882 data_time: 0.0483 memory: 13609 grad_norm: 3.3880 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3187 loss: 1.3187 2022/08/01 20:49:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:49:03 - mmengine - INFO - Epoch(train) [62][660/940] lr: 6.0000e-03 eta: 5:19:53 time: 0.6067 data_time: 0.0292 memory: 13609 grad_norm: 3.4575 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4600 loss: 1.4600 2022/08/01 20:49:12 - mmengine - INFO - Epoch(train) [62][680/940] lr: 6.0000e-03 eta: 5:19:42 time: 0.4603 data_time: 0.0361 memory: 13609 grad_norm: 3.4411 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3397 loss: 1.3397 2022/08/01 20:49:25 - mmengine - INFO - Epoch(train) [62][700/940] lr: 6.0000e-03 eta: 5:19:32 time: 0.6426 data_time: 0.0309 memory: 13609 grad_norm: 3.3841 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3207 loss: 1.3207 2022/08/01 20:49:33 - mmengine - INFO - Epoch(train) [62][720/940] lr: 6.0000e-03 eta: 5:19:20 time: 0.4139 data_time: 0.0338 memory: 13609 grad_norm: 3.3915 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4890 loss: 1.4890 2022/08/01 20:49:44 - mmengine - INFO - Epoch(train) [62][740/940] lr: 6.0000e-03 eta: 5:19:10 time: 0.5561 data_time: 0.0386 memory: 13609 grad_norm: 3.4136 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3332 loss: 1.3332 2022/08/01 20:49:54 - mmengine - INFO - Epoch(train) [62][760/940] lr: 6.0000e-03 eta: 5:18:59 time: 0.4957 data_time: 0.0304 memory: 13609 grad_norm: 3.4311 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.3066 loss: 1.3066 2022/08/01 20:50:05 - mmengine - INFO - Epoch(train) [62][780/940] lr: 6.0000e-03 eta: 5:18:48 time: 0.5267 data_time: 0.0314 memory: 13609 grad_norm: 3.5054 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3827 loss: 1.3827 2022/08/01 20:50:15 - mmengine - INFO - Epoch(train) [62][800/940] lr: 6.0000e-03 eta: 5:18:37 time: 0.5030 data_time: 0.0496 memory: 13609 grad_norm: 3.4561 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4385 loss: 1.4385 2022/08/01 20:50:25 - mmengine - INFO - Epoch(train) [62][820/940] lr: 6.0000e-03 eta: 5:18:26 time: 0.5160 data_time: 0.0529 memory: 13609 grad_norm: 3.4401 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5232 loss: 1.5232 2022/08/01 20:50:36 - mmengine - INFO - Epoch(train) [62][840/940] lr: 6.0000e-03 eta: 5:18:16 time: 0.5586 data_time: 0.0427 memory: 13609 grad_norm: 3.4507 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5097 loss: 1.5097 2022/08/01 20:50:47 - mmengine - INFO - Epoch(train) [62][860/940] lr: 6.0000e-03 eta: 5:18:05 time: 0.5356 data_time: 0.0392 memory: 13609 grad_norm: 3.4730 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3920 loss: 1.3920 2022/08/01 20:50:57 - mmengine - INFO - Epoch(train) [62][880/940] lr: 6.0000e-03 eta: 5:17:54 time: 0.4813 data_time: 0.0419 memory: 13609 grad_norm: 3.4321 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4612 loss: 1.4612 2022/08/01 20:51:08 - mmengine - INFO - Epoch(train) [62][900/940] lr: 6.0000e-03 eta: 5:17:43 time: 0.5473 data_time: 0.0539 memory: 13609 grad_norm: 3.4294 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3819 loss: 1.3819 2022/08/01 20:51:18 - mmengine - INFO - Epoch(train) [62][920/940] lr: 6.0000e-03 eta: 5:17:32 time: 0.5037 data_time: 0.1088 memory: 13609 grad_norm: 3.4344 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.3921 loss: 1.3921 2022/08/01 20:51:27 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 20:51:27 - mmengine - INFO - Epoch(train) [62][940/940] lr: 6.0000e-03 eta: 5:17:21 time: 0.4773 data_time: 0.1209 memory: 13609 grad_norm: 3.6301 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4277 loss: 1.4277 2022/08/01 20:53:12 - mmengine - INFO - Epoch(val) [62][20/78] eta: 0:05:04 time: 5.2421 data_time: 4.4724 memory: 19674 2022/08/01 20:54:24 - mmengine - INFO - Epoch(val) [62][40/78] eta: 0:02:15 time: 3.5773 data_time: 2.8191 memory: 19674 2022/08/01 20:56:00 - mmengine - INFO - Epoch(val) [62][60/78] eta: 0:01:26 time: 4.8109 data_time: 4.0738 memory: 19674 2022/08/01 20:57:14 - mmengine - INFO - Epoch(val) [62][78/78] acc/top1: 0.7004 acc/top5: 0.8929 acc/mean1: 0.7004 2022/08/01 20:57:29 - mmengine - INFO - Epoch(train) [63][20/940] lr: 6.0000e-03 eta: 5:17:13 time: 0.7588 data_time: 0.3610 memory: 19674 grad_norm: 3.4008 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4058 loss: 1.4058 2022/08/01 20:57:39 - mmengine - INFO - Epoch(train) [63][40/940] lr: 6.0000e-03 eta: 5:17:02 time: 0.4999 data_time: 0.0284 memory: 13609 grad_norm: 3.3314 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2394 loss: 1.2394 2022/08/01 20:57:50 - mmengine - INFO - Epoch(train) [63][60/940] lr: 6.0000e-03 eta: 5:16:51 time: 0.5423 data_time: 0.0324 memory: 13609 grad_norm: 3.3945 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4556 loss: 1.4556 2022/08/01 20:58:00 - mmengine - INFO - Epoch(train) [63][80/940] lr: 6.0000e-03 eta: 5:16:40 time: 0.5164 data_time: 0.0270 memory: 13609 grad_norm: 3.4421 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4041 loss: 1.4041 2022/08/01 20:58:15 - mmengine - INFO - Epoch(train) [63][100/940] lr: 6.0000e-03 eta: 5:16:32 time: 0.7356 data_time: 0.0429 memory: 13609 grad_norm: 3.3667 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2958 loss: 1.2958 2022/08/01 20:58:25 - mmengine - INFO - Epoch(train) [63][120/940] lr: 6.0000e-03 eta: 5:16:21 time: 0.4955 data_time: 0.0371 memory: 13609 grad_norm: 3.4267 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2849 loss: 1.2849 2022/08/01 20:58:37 - mmengine - INFO - Epoch(train) [63][140/940] lr: 6.0000e-03 eta: 5:16:11 time: 0.5685 data_time: 0.0306 memory: 13609 grad_norm: 3.4783 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3459 loss: 1.3459 2022/08/01 20:58:45 - mmengine - INFO - Epoch(train) [63][160/940] lr: 6.0000e-03 eta: 5:15:59 time: 0.4400 data_time: 0.0357 memory: 13609 grad_norm: 3.5131 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4336 loss: 1.4336 2022/08/01 20:58:57 - mmengine - INFO - Epoch(train) [63][180/940] lr: 6.0000e-03 eta: 5:15:49 time: 0.5673 data_time: 0.0363 memory: 13609 grad_norm: 3.3985 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3568 loss: 1.3568 2022/08/01 20:59:06 - mmengine - INFO - Epoch(train) [63][200/940] lr: 6.0000e-03 eta: 5:15:38 time: 0.4817 data_time: 0.0354 memory: 13609 grad_norm: 3.3648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3823 loss: 1.3823 2022/08/01 20:59:17 - mmengine - INFO - Epoch(train) [63][220/940] lr: 6.0000e-03 eta: 5:15:27 time: 0.5558 data_time: 0.0276 memory: 13609 grad_norm: 3.4441 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3732 loss: 1.3732 2022/08/01 20:59:27 - mmengine - INFO - Epoch(train) [63][240/940] lr: 6.0000e-03 eta: 5:15:16 time: 0.4638 data_time: 0.0331 memory: 13609 grad_norm: 3.3503 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4113 loss: 1.4113 2022/08/01 20:59:38 - mmengine - INFO - Epoch(train) [63][260/940] lr: 6.0000e-03 eta: 5:15:05 time: 0.5399 data_time: 0.0318 memory: 13609 grad_norm: 3.4044 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3869 loss: 1.3869 2022/08/01 20:59:47 - mmengine - INFO - Epoch(train) [63][280/940] lr: 6.0000e-03 eta: 5:14:54 time: 0.4945 data_time: 0.0413 memory: 13609 grad_norm: 3.5007 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3919 loss: 1.3919 2022/08/01 20:59:58 - mmengine - INFO - Epoch(train) [63][300/940] lr: 6.0000e-03 eta: 5:14:43 time: 0.5430 data_time: 0.0455 memory: 13609 grad_norm: 3.4757 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3815 loss: 1.3815 2022/08/01 21:00:10 - mmengine - INFO - Epoch(train) [63][320/940] lr: 6.0000e-03 eta: 5:14:33 time: 0.5709 data_time: 0.0387 memory: 13609 grad_norm: 3.4082 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5083 loss: 1.5083 2022/08/01 21:00:20 - mmengine - INFO - Epoch(train) [63][340/940] lr: 6.0000e-03 eta: 5:14:22 time: 0.5012 data_time: 0.0336 memory: 13609 grad_norm: 3.4557 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4525 loss: 1.4525 2022/08/01 21:00:30 - mmengine - INFO - Epoch(train) [63][360/940] lr: 6.0000e-03 eta: 5:14:11 time: 0.5207 data_time: 0.0326 memory: 13609 grad_norm: 3.4393 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4246 loss: 1.4246 2022/08/01 21:00:40 - mmengine - INFO - Epoch(train) [63][380/940] lr: 6.0000e-03 eta: 5:14:00 time: 0.5153 data_time: 0.0368 memory: 13609 grad_norm: 3.4546 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3005 loss: 1.3005 2022/08/01 21:00:51 - mmengine - INFO - Epoch(train) [63][400/940] lr: 6.0000e-03 eta: 5:13:50 time: 0.5190 data_time: 0.0366 memory: 13609 grad_norm: 3.3938 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3010 loss: 1.3010 2022/08/01 21:01:01 - mmengine - INFO - Epoch(train) [63][420/940] lr: 6.0000e-03 eta: 5:13:39 time: 0.5101 data_time: 0.0316 memory: 13609 grad_norm: 3.3965 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1514 loss: 1.1514 2022/08/01 21:01:12 - mmengine - INFO - Epoch(train) [63][440/940] lr: 6.0000e-03 eta: 5:13:28 time: 0.5653 data_time: 0.0319 memory: 13609 grad_norm: 3.4403 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3818 loss: 1.3818 2022/08/01 21:01:22 - mmengine - INFO - Epoch(train) [63][460/940] lr: 6.0000e-03 eta: 5:13:17 time: 0.5037 data_time: 0.0368 memory: 13609 grad_norm: 3.4070 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2069 loss: 1.2069 2022/08/01 21:01:33 - mmengine - INFO - Epoch(train) [63][480/940] lr: 6.0000e-03 eta: 5:13:07 time: 0.5462 data_time: 0.0369 memory: 13609 grad_norm: 3.4936 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3607 loss: 1.3607 2022/08/01 21:01:44 - mmengine - INFO - Epoch(train) [63][500/940] lr: 6.0000e-03 eta: 5:12:56 time: 0.5397 data_time: 0.0374 memory: 13609 grad_norm: 3.4355 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4096 loss: 1.4096 2022/08/01 21:01:55 - mmengine - INFO - Epoch(train) [63][520/940] lr: 6.0000e-03 eta: 5:12:46 time: 0.5576 data_time: 0.0373 memory: 13609 grad_norm: 3.5060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4707 loss: 1.4707 2022/08/01 21:02:05 - mmengine - INFO - Epoch(train) [63][540/940] lr: 6.0000e-03 eta: 5:12:35 time: 0.5069 data_time: 0.0353 memory: 13609 grad_norm: 3.4793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/08/01 21:02:16 - mmengine - INFO - Epoch(train) [63][560/940] lr: 6.0000e-03 eta: 5:12:24 time: 0.5228 data_time: 0.0331 memory: 13609 grad_norm: 3.4134 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3857 loss: 1.3857 2022/08/01 21:02:26 - mmengine - INFO - Epoch(train) [63][580/940] lr: 6.0000e-03 eta: 5:12:13 time: 0.5215 data_time: 0.0611 memory: 13609 grad_norm: 3.4525 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3133 loss: 1.3133 2022/08/01 21:02:36 - mmengine - INFO - Epoch(train) [63][600/940] lr: 6.0000e-03 eta: 5:12:02 time: 0.4833 data_time: 0.0980 memory: 13609 grad_norm: 3.4643 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2701 loss: 1.2701 2022/08/01 21:02:47 - mmengine - INFO - Epoch(train) [63][620/940] lr: 6.0000e-03 eta: 5:11:51 time: 0.5330 data_time: 0.1238 memory: 13609 grad_norm: 3.3969 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3585 loss: 1.3585 2022/08/01 21:02:57 - mmengine - INFO - Epoch(train) [63][640/940] lr: 6.0000e-03 eta: 5:11:41 time: 0.5257 data_time: 0.1017 memory: 13609 grad_norm: 3.4935 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2077 loss: 1.2077 2022/08/01 21:03:07 - mmengine - INFO - Epoch(train) [63][660/940] lr: 6.0000e-03 eta: 5:11:30 time: 0.5112 data_time: 0.0707 memory: 13609 grad_norm: 3.4836 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3622 loss: 1.3622 2022/08/01 21:03:18 - mmengine - INFO - Epoch(train) [63][680/940] lr: 6.0000e-03 eta: 5:11:19 time: 0.5378 data_time: 0.1573 memory: 13609 grad_norm: 3.4512 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3570 loss: 1.3570 2022/08/01 21:03:29 - mmengine - INFO - Epoch(train) [63][700/940] lr: 6.0000e-03 eta: 5:11:09 time: 0.5583 data_time: 0.0618 memory: 13609 grad_norm: 3.4573 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3142 loss: 1.3142 2022/08/01 21:03:39 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:03:39 - mmengine - INFO - Epoch(train) [63][720/940] lr: 6.0000e-03 eta: 5:10:58 time: 0.4977 data_time: 0.1465 memory: 13609 grad_norm: 3.4493 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3148 loss: 1.3148 2022/08/01 21:03:50 - mmengine - INFO - Epoch(train) [63][740/940] lr: 6.0000e-03 eta: 5:10:47 time: 0.5286 data_time: 0.0793 memory: 13609 grad_norm: 3.5279 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3145 loss: 1.3145 2022/08/01 21:04:01 - mmengine - INFO - Epoch(train) [63][760/940] lr: 6.0000e-03 eta: 5:10:36 time: 0.5257 data_time: 0.0376 memory: 13609 grad_norm: 3.4449 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4290 loss: 1.4290 2022/08/01 21:04:10 - mmengine - INFO - Epoch(train) [63][780/940] lr: 6.0000e-03 eta: 5:10:25 time: 0.4830 data_time: 0.0407 memory: 13609 grad_norm: 3.5551 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3024 loss: 1.3024 2022/08/01 21:04:22 - mmengine - INFO - Epoch(train) [63][800/940] lr: 6.0000e-03 eta: 5:10:15 time: 0.5943 data_time: 0.0358 memory: 13609 grad_norm: 3.5110 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4459 loss: 1.4459 2022/08/01 21:04:32 - mmengine - INFO - Epoch(train) [63][820/940] lr: 6.0000e-03 eta: 5:10:04 time: 0.4890 data_time: 0.0458 memory: 13609 grad_norm: 3.4413 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2872 loss: 1.2872 2022/08/01 21:04:44 - mmengine - INFO - Epoch(train) [63][840/940] lr: 6.0000e-03 eta: 5:09:54 time: 0.5913 data_time: 0.0311 memory: 13609 grad_norm: 3.4594 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3294 loss: 1.3294 2022/08/01 21:04:52 - mmengine - INFO - Epoch(train) [63][860/940] lr: 6.0000e-03 eta: 5:09:42 time: 0.4359 data_time: 0.0311 memory: 13609 grad_norm: 3.4264 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3198 loss: 1.3198 2022/08/01 21:05:05 - mmengine - INFO - Epoch(train) [63][880/940] lr: 6.0000e-03 eta: 5:09:33 time: 0.6561 data_time: 0.0352 memory: 13609 grad_norm: 3.5091 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3722 loss: 1.3722 2022/08/01 21:05:14 - mmengine - INFO - Epoch(train) [63][900/940] lr: 6.0000e-03 eta: 5:09:21 time: 0.4315 data_time: 0.0362 memory: 13609 grad_norm: 3.4863 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5591 loss: 1.5591 2022/08/01 21:05:25 - mmengine - INFO - Epoch(train) [63][920/940] lr: 6.0000e-03 eta: 5:09:10 time: 0.5369 data_time: 0.0393 memory: 13609 grad_norm: 3.4526 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1617 loss: 1.1617 2022/08/01 21:05:33 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:05:33 - mmengine - INFO - Epoch(train) [63][940/940] lr: 6.0000e-03 eta: 5:08:58 time: 0.4116 data_time: 0.0209 memory: 13609 grad_norm: 3.5705 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.2251 loss: 1.2251 2022/08/01 21:05:33 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/01 21:07:21 - mmengine - INFO - Epoch(val) [63][20/78] eta: 0:05:07 time: 5.3030 data_time: 4.5497 memory: 19674 2022/08/01 21:08:34 - mmengine - INFO - Epoch(val) [63][40/78] eta: 0:02:18 time: 3.6502 data_time: 2.9028 memory: 19674 2022/08/01 21:10:10 - mmengine - INFO - Epoch(val) [63][60/78] eta: 0:01:26 time: 4.7869 data_time: 4.0439 memory: 19674 2022/08/01 21:11:20 - mmengine - INFO - Epoch(val) [63][78/78] acc/top1: 0.7023 acc/top5: 0.8919 acc/mean1: 0.7021 2022/08/01 21:11:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_59.pth is removed 2022/08/01 21:11:22 - mmengine - INFO - The best checkpoint with 0.7023 acc/top1 at 64 epoch is saved to best_acc/top1_epoch_64.pth. 2022/08/01 21:11:35 - mmengine - INFO - Epoch(train) [64][20/940] lr: 6.0000e-03 eta: 5:08:49 time: 0.6445 data_time: 0.3440 memory: 19674 grad_norm: 3.4213 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.4216 loss: 1.4216 2022/08/01 21:11:45 - mmengine - INFO - Epoch(train) [64][40/940] lr: 6.0000e-03 eta: 5:08:38 time: 0.5230 data_time: 0.2560 memory: 13609 grad_norm: 3.4196 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4485 loss: 1.4485 2022/08/01 21:11:56 - mmengine - INFO - Epoch(train) [64][60/940] lr: 6.0000e-03 eta: 5:08:27 time: 0.5234 data_time: 0.2407 memory: 13609 grad_norm: 3.4321 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3287 loss: 1.3287 2022/08/01 21:12:07 - mmengine - INFO - Epoch(train) [64][80/940] lr: 6.0000e-03 eta: 5:08:17 time: 0.5412 data_time: 0.2751 memory: 13609 grad_norm: 3.4678 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3619 loss: 1.3619 2022/08/01 21:12:16 - mmengine - INFO - Epoch(train) [64][100/940] lr: 6.0000e-03 eta: 5:08:06 time: 0.4970 data_time: 0.1784 memory: 13609 grad_norm: 3.4863 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3727 loss: 1.3727 2022/08/01 21:12:27 - mmengine - INFO - Epoch(train) [64][120/940] lr: 6.0000e-03 eta: 5:07:55 time: 0.5366 data_time: 0.1958 memory: 13609 grad_norm: 3.5031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4060 loss: 1.4060 2022/08/01 21:12:38 - mmengine - INFO - Epoch(train) [64][140/940] lr: 6.0000e-03 eta: 5:07:45 time: 0.5539 data_time: 0.0985 memory: 13609 grad_norm: 3.3949 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4113 loss: 1.4113 2022/08/01 21:12:48 - mmengine - INFO - Epoch(train) [64][160/940] lr: 6.0000e-03 eta: 5:07:34 time: 0.5073 data_time: 0.1129 memory: 13609 grad_norm: 3.5399 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2483 loss: 1.2483 2022/08/01 21:13:00 - mmengine - INFO - Epoch(train) [64][180/940] lr: 6.0000e-03 eta: 5:07:23 time: 0.5550 data_time: 0.0441 memory: 13609 grad_norm: 3.5363 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4882 loss: 1.4882 2022/08/01 21:13:09 - mmengine - INFO - Epoch(train) [64][200/940] lr: 6.0000e-03 eta: 5:07:12 time: 0.4786 data_time: 0.0562 memory: 13609 grad_norm: 3.4611 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/08/01 21:13:21 - mmengine - INFO - Epoch(train) [64][220/940] lr: 6.0000e-03 eta: 5:07:02 time: 0.5962 data_time: 0.0332 memory: 13609 grad_norm: 3.4386 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1861 loss: 1.1861 2022/08/01 21:13:31 - mmengine - INFO - Epoch(train) [64][240/940] lr: 6.0000e-03 eta: 5:06:51 time: 0.5034 data_time: 0.0338 memory: 13609 grad_norm: 3.5350 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3351 loss: 1.3351 2022/08/01 21:13:43 - mmengine - INFO - Epoch(train) [64][260/940] lr: 6.0000e-03 eta: 5:06:41 time: 0.5789 data_time: 0.0394 memory: 13609 grad_norm: 3.4282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2342 loss: 1.2342 2022/08/01 21:13:52 - mmengine - INFO - Epoch(train) [64][280/940] lr: 6.0000e-03 eta: 5:06:30 time: 0.4695 data_time: 0.0401 memory: 13609 grad_norm: 3.4492 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3422 loss: 1.3422 2022/08/01 21:14:03 - mmengine - INFO - Epoch(train) [64][300/940] lr: 6.0000e-03 eta: 5:06:19 time: 0.5568 data_time: 0.0326 memory: 13609 grad_norm: 3.4365 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2913 loss: 1.2913 2022/08/01 21:14:13 - mmengine - INFO - Epoch(train) [64][320/940] lr: 6.0000e-03 eta: 5:06:08 time: 0.4628 data_time: 0.0347 memory: 13609 grad_norm: 3.5000 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.2836 loss: 1.2836 2022/08/01 21:14:26 - mmengine - INFO - Epoch(train) [64][340/940] lr: 6.0000e-03 eta: 5:05:59 time: 0.6624 data_time: 0.0317 memory: 13609 grad_norm: 3.4587 top1_acc: 0.6875 top5_acc: 0.7188 loss_cls: 1.4561 loss: 1.4561 2022/08/01 21:14:33 - mmengine - INFO - Epoch(train) [64][360/940] lr: 6.0000e-03 eta: 5:05:46 time: 0.3703 data_time: 0.0312 memory: 13609 grad_norm: 3.5666 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5166 loss: 1.5166 2022/08/01 21:14:46 - mmengine - INFO - Epoch(train) [64][380/940] lr: 6.0000e-03 eta: 5:05:36 time: 0.6287 data_time: 0.0327 memory: 13609 grad_norm: 3.3742 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3992 loss: 1.3992 2022/08/01 21:14:55 - mmengine - INFO - Epoch(train) [64][400/940] lr: 6.0000e-03 eta: 5:05:25 time: 0.4624 data_time: 0.0367 memory: 13609 grad_norm: 3.4585 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.2731 loss: 1.2731 2022/08/01 21:15:06 - mmengine - INFO - Epoch(train) [64][420/940] lr: 6.0000e-03 eta: 5:05:14 time: 0.5304 data_time: 0.0346 memory: 13609 grad_norm: 3.5347 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2926 loss: 1.2926 2022/08/01 21:15:16 - mmengine - INFO - Epoch(train) [64][440/940] lr: 6.0000e-03 eta: 5:05:04 time: 0.5244 data_time: 0.0398 memory: 13609 grad_norm: 3.4821 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3394 loss: 1.3394 2022/08/01 21:15:28 - mmengine - INFO - Epoch(train) [64][460/940] lr: 6.0000e-03 eta: 5:04:53 time: 0.5726 data_time: 0.0372 memory: 13609 grad_norm: 3.4488 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3848 loss: 1.3848 2022/08/01 21:15:37 - mmengine - INFO - Epoch(train) [64][480/940] lr: 6.0000e-03 eta: 5:04:42 time: 0.4788 data_time: 0.0545 memory: 13609 grad_norm: 3.4759 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4051 loss: 1.4051 2022/08/01 21:15:49 - mmengine - INFO - Epoch(train) [64][500/940] lr: 6.0000e-03 eta: 5:04:32 time: 0.5813 data_time: 0.0225 memory: 13609 grad_norm: 3.4872 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3943 loss: 1.3943 2022/08/01 21:15:58 - mmengine - INFO - Epoch(train) [64][520/940] lr: 6.0000e-03 eta: 5:04:21 time: 0.4847 data_time: 0.0341 memory: 13609 grad_norm: 3.5355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2320 loss: 1.2320 2022/08/01 21:16:09 - mmengine - INFO - Epoch(train) [64][540/940] lr: 6.0000e-03 eta: 5:04:10 time: 0.5367 data_time: 0.0295 memory: 13609 grad_norm: 3.4970 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4234 loss: 1.4234 2022/08/01 21:16:21 - mmengine - INFO - Epoch(train) [64][560/940] lr: 6.0000e-03 eta: 5:04:00 time: 0.5691 data_time: 0.0376 memory: 13609 grad_norm: 3.5373 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2923 loss: 1.2923 2022/08/01 21:16:30 - mmengine - INFO - Epoch(train) [64][580/940] lr: 6.0000e-03 eta: 5:03:49 time: 0.4850 data_time: 0.0334 memory: 13609 grad_norm: 3.4723 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4071 loss: 1.4071 2022/08/01 21:16:41 - mmengine - INFO - Epoch(train) [64][600/940] lr: 6.0000e-03 eta: 5:03:38 time: 0.5246 data_time: 0.0337 memory: 13609 grad_norm: 3.4940 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3238 loss: 1.3238 2022/08/01 21:16:51 - mmengine - INFO - Epoch(train) [64][620/940] lr: 6.0000e-03 eta: 5:03:27 time: 0.5203 data_time: 0.0557 memory: 13609 grad_norm: 3.4300 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3733 loss: 1.3733 2022/08/01 21:17:02 - mmengine - INFO - Epoch(train) [64][640/940] lr: 6.0000e-03 eta: 5:03:17 time: 0.5388 data_time: 0.0846 memory: 13609 grad_norm: 3.4340 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3233 loss: 1.3233 2022/08/01 21:17:12 - mmengine - INFO - Epoch(train) [64][660/940] lr: 6.0000e-03 eta: 5:03:06 time: 0.5189 data_time: 0.0307 memory: 13609 grad_norm: 3.5373 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5307 loss: 1.5307 2022/08/01 21:17:25 - mmengine - INFO - Epoch(train) [64][680/940] lr: 6.0000e-03 eta: 5:02:56 time: 0.6207 data_time: 0.0345 memory: 13609 grad_norm: 3.5276 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3576 loss: 1.3576 2022/08/01 21:17:35 - mmengine - INFO - Epoch(train) [64][700/940] lr: 6.0000e-03 eta: 5:02:45 time: 0.4895 data_time: 0.0344 memory: 13609 grad_norm: 3.5189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3147 loss: 1.3147 2022/08/01 21:17:45 - mmengine - INFO - Epoch(train) [64][720/940] lr: 6.0000e-03 eta: 5:02:34 time: 0.5192 data_time: 0.0345 memory: 13609 grad_norm: 3.4816 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2639 loss: 1.2639 2022/08/01 21:17:54 - mmengine - INFO - Epoch(train) [64][740/940] lr: 6.0000e-03 eta: 5:02:23 time: 0.4664 data_time: 0.0362 memory: 13609 grad_norm: 3.5364 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3734 loss: 1.3734 2022/08/01 21:18:05 - mmengine - INFO - Epoch(train) [64][760/940] lr: 6.0000e-03 eta: 5:02:12 time: 0.5319 data_time: 0.0369 memory: 13609 grad_norm: 3.4825 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3475 loss: 1.3475 2022/08/01 21:18:16 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:18:16 - mmengine - INFO - Epoch(train) [64][780/940] lr: 6.0000e-03 eta: 5:02:01 time: 0.5439 data_time: 0.0384 memory: 13609 grad_norm: 3.4960 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4424 loss: 1.4424 2022/08/01 21:18:27 - mmengine - INFO - Epoch(train) [64][800/940] lr: 6.0000e-03 eta: 5:01:51 time: 0.5711 data_time: 0.0472 memory: 13609 grad_norm: 3.5463 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6002 loss: 1.6002 2022/08/01 21:18:37 - mmengine - INFO - Epoch(train) [64][820/940] lr: 6.0000e-03 eta: 5:01:40 time: 0.5032 data_time: 0.0362 memory: 13609 grad_norm: 3.5322 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4091 loss: 1.4091 2022/08/01 21:18:48 - mmengine - INFO - Epoch(train) [64][840/940] lr: 6.0000e-03 eta: 5:01:30 time: 0.5351 data_time: 0.0429 memory: 13609 grad_norm: 3.5576 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3937 loss: 1.3937 2022/08/01 21:18:59 - mmengine - INFO - Epoch(train) [64][860/940] lr: 6.0000e-03 eta: 5:01:19 time: 0.5441 data_time: 0.0338 memory: 13609 grad_norm: 3.5509 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3669 loss: 1.3669 2022/08/01 21:19:08 - mmengine - INFO - Epoch(train) [64][880/940] lr: 6.0000e-03 eta: 5:01:07 time: 0.4405 data_time: 0.0401 memory: 13609 grad_norm: 3.5749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/08/01 21:19:18 - mmengine - INFO - Epoch(train) [64][900/940] lr: 6.0000e-03 eta: 5:00:57 time: 0.5289 data_time: 0.0316 memory: 13609 grad_norm: 3.4715 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3908 loss: 1.3908 2022/08/01 21:19:30 - mmengine - INFO - Epoch(train) [64][920/940] lr: 6.0000e-03 eta: 5:00:46 time: 0.5583 data_time: 0.0409 memory: 13609 grad_norm: 3.5350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2672 loss: 1.2672 2022/08/01 21:19:39 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:19:39 - mmengine - INFO - Epoch(train) [64][940/940] lr: 6.0000e-03 eta: 5:00:35 time: 0.4570 data_time: 0.0274 memory: 13609 grad_norm: 3.7144 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4764 loss: 1.4764 2022/08/01 21:21:24 - mmengine - INFO - Epoch(val) [64][20/78] eta: 0:05:05 time: 5.2634 data_time: 4.5079 memory: 19674 2022/08/01 21:22:36 - mmengine - INFO - Epoch(val) [64][40/78] eta: 0:02:17 time: 3.6208 data_time: 2.8685 memory: 19674 2022/08/01 21:24:13 - mmengine - INFO - Epoch(val) [64][60/78] eta: 0:01:26 time: 4.8267 data_time: 4.0747 memory: 19674 2022/08/01 21:25:25 - mmengine - INFO - Epoch(val) [64][78/78] acc/top1: 0.7026 acc/top5: 0.8930 acc/mean1: 0.7025 2022/08/01 21:25:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_64.pth is removed 2022/08/01 21:25:26 - mmengine - INFO - The best checkpoint with 0.7026 acc/top1 at 65 epoch is saved to best_acc/top1_epoch_65.pth. 2022/08/01 21:25:41 - mmengine - INFO - Epoch(train) [65][20/940] lr: 6.0000e-03 eta: 5:00:26 time: 0.7003 data_time: 0.4191 memory: 19674 grad_norm: 3.4665 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3778 loss: 1.3778 2022/08/01 21:25:50 - mmengine - INFO - Epoch(train) [65][40/940] lr: 6.0000e-03 eta: 5:00:15 time: 0.4806 data_time: 0.1752 memory: 13609 grad_norm: 3.4229 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2349 loss: 1.2349 2022/08/01 21:26:01 - mmengine - INFO - Epoch(train) [65][60/940] lr: 6.0000e-03 eta: 5:00:04 time: 0.5651 data_time: 0.2611 memory: 13609 grad_norm: 3.4659 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2001 loss: 1.2001 2022/08/01 21:26:11 - mmengine - INFO - Epoch(train) [65][80/940] lr: 6.0000e-03 eta: 4:59:53 time: 0.4992 data_time: 0.1858 memory: 13609 grad_norm: 3.4660 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3259 loss: 1.3259 2022/08/01 21:26:22 - mmengine - INFO - Epoch(train) [65][100/940] lr: 6.0000e-03 eta: 4:59:43 time: 0.5284 data_time: 0.1723 memory: 13609 grad_norm: 3.4671 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3162 loss: 1.3162 2022/08/01 21:26:32 - mmengine - INFO - Epoch(train) [65][120/940] lr: 6.0000e-03 eta: 4:59:32 time: 0.5005 data_time: 0.2074 memory: 13609 grad_norm: 3.5001 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3062 loss: 1.3062 2022/08/01 21:26:43 - mmengine - INFO - Epoch(train) [65][140/940] lr: 6.0000e-03 eta: 4:59:21 time: 0.5677 data_time: 0.1984 memory: 13609 grad_norm: 3.4706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3354 loss: 1.3354 2022/08/01 21:26:53 - mmengine - INFO - Epoch(train) [65][160/940] lr: 6.0000e-03 eta: 4:59:10 time: 0.4945 data_time: 0.0919 memory: 13609 grad_norm: 3.4797 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.5358 loss: 1.5358 2022/08/01 21:27:05 - mmengine - INFO - Epoch(train) [65][180/940] lr: 6.0000e-03 eta: 4:59:00 time: 0.5866 data_time: 0.0322 memory: 13609 grad_norm: 3.5338 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4795 loss: 1.4795 2022/08/01 21:27:15 - mmengine - INFO - Epoch(train) [65][200/940] lr: 6.0000e-03 eta: 4:58:49 time: 0.4972 data_time: 0.0350 memory: 13609 grad_norm: 3.5532 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3713 loss: 1.3713 2022/08/01 21:27:27 - mmengine - INFO - Epoch(train) [65][220/940] lr: 6.0000e-03 eta: 4:58:39 time: 0.5961 data_time: 0.0357 memory: 13609 grad_norm: 3.5263 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2102 loss: 1.2102 2022/08/01 21:27:36 - mmengine - INFO - Epoch(train) [65][240/940] lr: 6.0000e-03 eta: 4:58:28 time: 0.4626 data_time: 0.0820 memory: 13609 grad_norm: 3.5119 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3204 loss: 1.3204 2022/08/01 21:27:47 - mmengine - INFO - Epoch(train) [65][260/940] lr: 6.0000e-03 eta: 4:58:17 time: 0.5663 data_time: 0.2382 memory: 13609 grad_norm: 3.5646 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3930 loss: 1.3930 2022/08/01 21:27:57 - mmengine - INFO - Epoch(train) [65][280/940] lr: 6.0000e-03 eta: 4:58:06 time: 0.4875 data_time: 0.1241 memory: 13609 grad_norm: 3.6699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3482 loss: 1.3482 2022/08/01 21:28:08 - mmengine - INFO - Epoch(train) [65][300/940] lr: 6.0000e-03 eta: 4:57:56 time: 0.5322 data_time: 0.1944 memory: 13609 grad_norm: 3.5642 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4077 loss: 1.4077 2022/08/01 21:28:18 - mmengine - INFO - Epoch(train) [65][320/940] lr: 6.0000e-03 eta: 4:57:45 time: 0.4985 data_time: 0.1566 memory: 13609 grad_norm: 3.5168 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3423 loss: 1.3423 2022/08/01 21:28:29 - mmengine - INFO - Epoch(train) [65][340/940] lr: 6.0000e-03 eta: 4:57:34 time: 0.5803 data_time: 0.1882 memory: 13609 grad_norm: 3.4863 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3663 loss: 1.3663 2022/08/01 21:28:39 - mmengine - INFO - Epoch(train) [65][360/940] lr: 6.0000e-03 eta: 4:57:23 time: 0.4816 data_time: 0.1392 memory: 13609 grad_norm: 3.5788 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3616 loss: 1.3616 2022/08/01 21:28:51 - mmengine - INFO - Epoch(train) [65][380/940] lr: 6.0000e-03 eta: 4:57:13 time: 0.5758 data_time: 0.1528 memory: 13609 grad_norm: 3.5372 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3873 loss: 1.3873 2022/08/01 21:29:00 - mmengine - INFO - Epoch(train) [65][400/940] lr: 6.0000e-03 eta: 4:57:02 time: 0.4847 data_time: 0.0811 memory: 13609 grad_norm: 3.5499 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3186 loss: 1.3186 2022/08/01 21:29:11 - mmengine - INFO - Epoch(train) [65][420/940] lr: 6.0000e-03 eta: 4:56:51 time: 0.5479 data_time: 0.1196 memory: 13609 grad_norm: 3.5624 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3694 loss: 1.3694 2022/08/01 21:29:21 - mmengine - INFO - Epoch(train) [65][440/940] lr: 6.0000e-03 eta: 4:56:40 time: 0.5006 data_time: 0.0441 memory: 13609 grad_norm: 3.6095 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3734 loss: 1.3734 2022/08/01 21:29:32 - mmengine - INFO - Epoch(train) [65][460/940] lr: 6.0000e-03 eta: 4:56:30 time: 0.5219 data_time: 0.1497 memory: 13609 grad_norm: 3.5428 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3437 loss: 1.3437 2022/08/01 21:29:42 - mmengine - INFO - Epoch(train) [65][480/940] lr: 6.0000e-03 eta: 4:56:19 time: 0.5033 data_time: 0.1422 memory: 13609 grad_norm: 3.5235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3073 loss: 1.3073 2022/08/01 21:29:53 - mmengine - INFO - Epoch(train) [65][500/940] lr: 6.0000e-03 eta: 4:56:08 time: 0.5731 data_time: 0.1353 memory: 13609 grad_norm: 3.5252 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2883 loss: 1.2883 2022/08/01 21:30:03 - mmengine - INFO - Epoch(train) [65][520/940] lr: 6.0000e-03 eta: 4:55:57 time: 0.4863 data_time: 0.1122 memory: 13609 grad_norm: 3.6028 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3287 loss: 1.3287 2022/08/01 21:30:14 - mmengine - INFO - Epoch(train) [65][540/940] lr: 6.0000e-03 eta: 4:55:47 time: 0.5327 data_time: 0.1898 memory: 13609 grad_norm: 3.5345 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2853 loss: 1.2853 2022/08/01 21:30:24 - mmengine - INFO - Epoch(train) [65][560/940] lr: 6.0000e-03 eta: 4:55:36 time: 0.5434 data_time: 0.1950 memory: 13609 grad_norm: 3.4974 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2314 loss: 1.2314 2022/08/01 21:30:34 - mmengine - INFO - Epoch(train) [65][580/940] lr: 6.0000e-03 eta: 4:55:25 time: 0.4970 data_time: 0.1056 memory: 13609 grad_norm: 3.5306 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3341 loss: 1.3341 2022/08/01 21:30:45 - mmengine - INFO - Epoch(train) [65][600/940] lr: 6.0000e-03 eta: 4:55:14 time: 0.5345 data_time: 0.0423 memory: 13609 grad_norm: 3.5893 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3362 loss: 1.3362 2022/08/01 21:30:55 - mmengine - INFO - Epoch(train) [65][620/940] lr: 6.0000e-03 eta: 4:55:03 time: 0.4916 data_time: 0.0977 memory: 13609 grad_norm: 3.5550 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3150 loss: 1.3150 2022/08/01 21:31:07 - mmengine - INFO - Epoch(train) [65][640/940] lr: 6.0000e-03 eta: 4:54:53 time: 0.6078 data_time: 0.2086 memory: 13609 grad_norm: 3.4795 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2168 loss: 1.2168 2022/08/01 21:31:16 - mmengine - INFO - Epoch(train) [65][660/940] lr: 6.0000e-03 eta: 4:54:42 time: 0.4249 data_time: 0.1184 memory: 13609 grad_norm: 3.5923 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4241 loss: 1.4241 2022/08/01 21:31:26 - mmengine - INFO - Epoch(train) [65][680/940] lr: 6.0000e-03 eta: 4:54:31 time: 0.5407 data_time: 0.1600 memory: 13609 grad_norm: 3.4840 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2890 loss: 1.2890 2022/08/01 21:31:36 - mmengine - INFO - Epoch(train) [65][700/940] lr: 6.0000e-03 eta: 4:54:20 time: 0.4792 data_time: 0.1221 memory: 13609 grad_norm: 3.5827 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3361 loss: 1.3361 2022/08/01 21:31:47 - mmengine - INFO - Epoch(train) [65][720/940] lr: 6.0000e-03 eta: 4:54:09 time: 0.5691 data_time: 0.0985 memory: 13609 grad_norm: 3.5381 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3266 loss: 1.3266 2022/08/01 21:31:58 - mmengine - INFO - Epoch(train) [65][740/940] lr: 6.0000e-03 eta: 4:53:59 time: 0.5091 data_time: 0.0438 memory: 13609 grad_norm: 3.5342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3565 loss: 1.3565 2022/08/01 21:32:09 - mmengine - INFO - Epoch(train) [65][760/940] lr: 6.0000e-03 eta: 4:53:48 time: 0.5549 data_time: 0.1666 memory: 13609 grad_norm: 3.5009 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3162 loss: 1.3162 2022/08/01 21:32:19 - mmengine - INFO - Epoch(train) [65][780/940] lr: 6.0000e-03 eta: 4:53:37 time: 0.5228 data_time: 0.1239 memory: 13609 grad_norm: 3.6301 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4280 loss: 1.4280 2022/08/01 21:32:30 - mmengine - INFO - Epoch(train) [65][800/940] lr: 6.0000e-03 eta: 4:53:27 time: 0.5595 data_time: 0.2302 memory: 13609 grad_norm: 3.6126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3226 loss: 1.3226 2022/08/01 21:32:41 - mmengine - INFO - Epoch(train) [65][820/940] lr: 6.0000e-03 eta: 4:53:16 time: 0.5052 data_time: 0.1993 memory: 13609 grad_norm: 3.6441 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3398 loss: 1.3398 2022/08/01 21:32:52 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:32:52 - mmengine - INFO - Epoch(train) [65][840/940] lr: 6.0000e-03 eta: 4:53:06 time: 0.5592 data_time: 0.2566 memory: 13609 grad_norm: 3.5563 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4014 loss: 1.4014 2022/08/01 21:33:01 - mmengine - INFO - Epoch(train) [65][860/940] lr: 6.0000e-03 eta: 4:52:54 time: 0.4706 data_time: 0.1403 memory: 13609 grad_norm: 3.6420 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/08/01 21:33:13 - mmengine - INFO - Epoch(train) [65][880/940] lr: 6.0000e-03 eta: 4:52:44 time: 0.5745 data_time: 0.2446 memory: 13609 grad_norm: 3.6312 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4835 loss: 1.4835 2022/08/01 21:33:23 - mmengine - INFO - Epoch(train) [65][900/940] lr: 6.0000e-03 eta: 4:52:33 time: 0.5081 data_time: 0.2089 memory: 13609 grad_norm: 3.5885 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3095 loss: 1.3095 2022/08/01 21:33:33 - mmengine - INFO - Epoch(train) [65][920/940] lr: 6.0000e-03 eta: 4:52:22 time: 0.5237 data_time: 0.2179 memory: 13609 grad_norm: 3.5712 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3042 loss: 1.3042 2022/08/01 21:33:42 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:33:42 - mmengine - INFO - Epoch(train) [65][940/940] lr: 6.0000e-03 eta: 4:52:10 time: 0.4136 data_time: 0.1274 memory: 13609 grad_norm: 3.7641 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3475 loss: 1.3475 2022/08/01 21:35:27 - mmengine - INFO - Epoch(val) [65][20/78] eta: 0:05:05 time: 5.2726 data_time: 4.5048 memory: 19674 2022/08/01 21:36:39 - mmengine - INFO - Epoch(val) [65][40/78] eta: 0:02:17 time: 3.6217 data_time: 2.8609 memory: 19674 2022/08/01 21:38:15 - mmengine - INFO - Epoch(val) [65][60/78] eta: 0:01:25 time: 4.7715 data_time: 4.0231 memory: 19674 2022/08/01 21:39:28 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.7037 acc/top5: 0.8912 acc/mean1: 0.7036 2022/08/01 21:39:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_65.pth is removed 2022/08/01 21:39:30 - mmengine - INFO - The best checkpoint with 0.7037 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/08/01 21:39:43 - mmengine - INFO - Epoch(train) [66][20/940] lr: 6.0000e-03 eta: 4:52:01 time: 0.6767 data_time: 0.3714 memory: 19674 grad_norm: 3.5533 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2046 loss: 1.2046 2022/08/01 21:39:53 - mmengine - INFO - Epoch(train) [66][40/940] lr: 6.0000e-03 eta: 4:51:50 time: 0.4826 data_time: 0.0614 memory: 13609 grad_norm: 3.5095 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.2476 loss: 1.2476 2022/08/01 21:40:05 - mmengine - INFO - Epoch(train) [66][60/940] lr: 6.0000e-03 eta: 4:51:40 time: 0.6002 data_time: 0.0573 memory: 13609 grad_norm: 3.5330 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3764 loss: 1.3764 2022/08/01 21:40:15 - mmengine - INFO - Epoch(train) [66][80/940] lr: 6.0000e-03 eta: 4:51:29 time: 0.4834 data_time: 0.0292 memory: 13609 grad_norm: 3.5217 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4025 loss: 1.4025 2022/08/01 21:40:27 - mmengine - INFO - Epoch(train) [66][100/940] lr: 6.0000e-03 eta: 4:51:19 time: 0.6133 data_time: 0.0331 memory: 13609 grad_norm: 3.5371 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3190 loss: 1.3190 2022/08/01 21:40:37 - mmengine - INFO - Epoch(train) [66][120/940] lr: 6.0000e-03 eta: 4:51:08 time: 0.4878 data_time: 0.0342 memory: 13609 grad_norm: 3.6029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3079 loss: 1.3079 2022/08/01 21:40:48 - mmengine - INFO - Epoch(train) [66][140/940] lr: 6.0000e-03 eta: 4:50:58 time: 0.5887 data_time: 0.0323 memory: 13609 grad_norm: 3.5809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2205 loss: 1.2205 2022/08/01 21:40:57 - mmengine - INFO - Epoch(train) [66][160/940] lr: 6.0000e-03 eta: 4:50:46 time: 0.4487 data_time: 0.0326 memory: 13609 grad_norm: 3.5837 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2690 loss: 1.2690 2022/08/01 21:41:08 - mmengine - INFO - Epoch(train) [66][180/940] lr: 6.0000e-03 eta: 4:50:36 time: 0.5429 data_time: 0.0345 memory: 13609 grad_norm: 3.5403 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4083 loss: 1.4083 2022/08/01 21:41:18 - mmengine - INFO - Epoch(train) [66][200/940] lr: 6.0000e-03 eta: 4:50:25 time: 0.4710 data_time: 0.0361 memory: 13609 grad_norm: 3.5441 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3446 loss: 1.3446 2022/08/01 21:41:30 - mmengine - INFO - Epoch(train) [66][220/940] lr: 6.0000e-03 eta: 4:50:15 time: 0.6091 data_time: 0.0355 memory: 13609 grad_norm: 3.5930 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2359 loss: 1.2359 2022/08/01 21:41:40 - mmengine - INFO - Epoch(train) [66][240/940] lr: 6.0000e-03 eta: 4:50:04 time: 0.5174 data_time: 0.0340 memory: 13609 grad_norm: 3.5671 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3801 loss: 1.3801 2022/08/01 21:41:51 - mmengine - INFO - Epoch(train) [66][260/940] lr: 6.0000e-03 eta: 4:49:54 time: 0.5586 data_time: 0.0361 memory: 13609 grad_norm: 3.5321 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3681 loss: 1.3681 2022/08/01 21:42:01 - mmengine - INFO - Epoch(train) [66][280/940] lr: 6.0000e-03 eta: 4:49:42 time: 0.4587 data_time: 0.0283 memory: 13609 grad_norm: 3.5066 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4064 loss: 1.4064 2022/08/01 21:42:12 - mmengine - INFO - Epoch(train) [66][300/940] lr: 6.0000e-03 eta: 4:49:32 time: 0.5633 data_time: 0.0314 memory: 13609 grad_norm: 3.5642 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3103 loss: 1.3103 2022/08/01 21:42:21 - mmengine - INFO - Epoch(train) [66][320/940] lr: 6.0000e-03 eta: 4:49:20 time: 0.4597 data_time: 0.0397 memory: 13609 grad_norm: 3.5655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3205 loss: 1.3205 2022/08/01 21:42:32 - mmengine - INFO - Epoch(train) [66][340/940] lr: 6.0000e-03 eta: 4:49:10 time: 0.5386 data_time: 0.0575 memory: 13609 grad_norm: 3.4953 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2593 loss: 1.2593 2022/08/01 21:42:43 - mmengine - INFO - Epoch(train) [66][360/940] lr: 6.0000e-03 eta: 4:48:59 time: 0.5401 data_time: 0.0476 memory: 13609 grad_norm: 3.5302 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3208 loss: 1.3208 2022/08/01 21:42:53 - mmengine - INFO - Epoch(train) [66][380/940] lr: 6.0000e-03 eta: 4:48:48 time: 0.5216 data_time: 0.0427 memory: 13609 grad_norm: 3.5883 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3127 loss: 1.3127 2022/08/01 21:43:03 - mmengine - INFO - Epoch(train) [66][400/940] lr: 6.0000e-03 eta: 4:48:37 time: 0.4971 data_time: 0.0312 memory: 13609 grad_norm: 3.4757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2607 loss: 1.2607 2022/08/01 21:43:14 - mmengine - INFO - Epoch(train) [66][420/940] lr: 6.0000e-03 eta: 4:48:27 time: 0.5458 data_time: 0.0394 memory: 13609 grad_norm: 3.6041 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.3511 loss: 1.3511 2022/08/01 21:43:24 - mmengine - INFO - Epoch(train) [66][440/940] lr: 6.0000e-03 eta: 4:48:16 time: 0.5016 data_time: 0.0314 memory: 13609 grad_norm: 3.6675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3352 loss: 1.3352 2022/08/01 21:43:37 - mmengine - INFO - Epoch(train) [66][460/940] lr: 6.0000e-03 eta: 4:48:06 time: 0.6269 data_time: 0.0361 memory: 13609 grad_norm: 3.5946 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2729 loss: 1.2729 2022/08/01 21:43:47 - mmengine - INFO - Epoch(train) [66][480/940] lr: 6.0000e-03 eta: 4:47:55 time: 0.4987 data_time: 0.0359 memory: 13609 grad_norm: 3.6621 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4509 loss: 1.4509 2022/08/01 21:43:57 - mmengine - INFO - Epoch(train) [66][500/940] lr: 6.0000e-03 eta: 4:47:44 time: 0.5316 data_time: 0.0327 memory: 13609 grad_norm: 3.6124 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3406 loss: 1.3406 2022/08/01 21:44:07 - mmengine - INFO - Epoch(train) [66][520/940] lr: 6.0000e-03 eta: 4:47:33 time: 0.4680 data_time: 0.0383 memory: 13609 grad_norm: 3.5809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3619 loss: 1.3619 2022/08/01 21:44:18 - mmengine - INFO - Epoch(train) [66][540/940] lr: 6.0000e-03 eta: 4:47:23 time: 0.5862 data_time: 0.0330 memory: 13609 grad_norm: 3.6597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/08/01 21:44:28 - mmengine - INFO - Epoch(train) [66][560/940] lr: 6.0000e-03 eta: 4:47:12 time: 0.5091 data_time: 0.0313 memory: 13609 grad_norm: 3.5931 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3595 loss: 1.3595 2022/08/01 21:44:39 - mmengine - INFO - Epoch(train) [66][580/940] lr: 6.0000e-03 eta: 4:47:02 time: 0.5411 data_time: 0.0326 memory: 13609 grad_norm: 3.6715 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3853 loss: 1.3853 2022/08/01 21:44:49 - mmengine - INFO - Epoch(train) [66][600/940] lr: 6.0000e-03 eta: 4:46:50 time: 0.4843 data_time: 0.0343 memory: 13609 grad_norm: 3.6207 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3448 loss: 1.3448 2022/08/01 21:45:00 - mmengine - INFO - Epoch(train) [66][620/940] lr: 6.0000e-03 eta: 4:46:40 time: 0.5331 data_time: 0.0422 memory: 13609 grad_norm: 3.5610 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/08/01 21:45:10 - mmengine - INFO - Epoch(train) [66][640/940] lr: 6.0000e-03 eta: 4:46:29 time: 0.5258 data_time: 0.0384 memory: 13609 grad_norm: 3.6378 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3382 loss: 1.3382 2022/08/01 21:45:21 - mmengine - INFO - Epoch(train) [66][660/940] lr: 6.0000e-03 eta: 4:46:18 time: 0.5236 data_time: 0.0380 memory: 13609 grad_norm: 3.6675 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3866 loss: 1.3866 2022/08/01 21:45:31 - mmengine - INFO - Epoch(train) [66][680/940] lr: 6.0000e-03 eta: 4:46:07 time: 0.5083 data_time: 0.0352 memory: 13609 grad_norm: 3.6074 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3257 loss: 1.3257 2022/08/01 21:45:42 - mmengine - INFO - Epoch(train) [66][700/940] lr: 6.0000e-03 eta: 4:45:57 time: 0.5676 data_time: 0.0368 memory: 13609 grad_norm: 3.5984 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3738 loss: 1.3738 2022/08/01 21:45:52 - mmengine - INFO - Epoch(train) [66][720/940] lr: 6.0000e-03 eta: 4:45:46 time: 0.5031 data_time: 0.0426 memory: 13609 grad_norm: 3.6627 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2061 loss: 1.2061 2022/08/01 21:46:03 - mmengine - INFO - Epoch(train) [66][740/940] lr: 6.0000e-03 eta: 4:45:35 time: 0.5383 data_time: 0.0354 memory: 13609 grad_norm: 3.5640 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4094 loss: 1.4094 2022/08/01 21:46:13 - mmengine - INFO - Epoch(train) [66][760/940] lr: 6.0000e-03 eta: 4:45:25 time: 0.5168 data_time: 0.0307 memory: 13609 grad_norm: 3.6882 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3490 loss: 1.3490 2022/08/01 21:46:24 - mmengine - INFO - Epoch(train) [66][780/940] lr: 6.0000e-03 eta: 4:45:14 time: 0.5201 data_time: 0.0371 memory: 13609 grad_norm: 3.5403 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3945 loss: 1.3945 2022/08/01 21:46:34 - mmengine - INFO - Epoch(train) [66][800/940] lr: 6.0000e-03 eta: 4:45:03 time: 0.5193 data_time: 0.0473 memory: 13609 grad_norm: 3.5560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3585 loss: 1.3585 2022/08/01 21:46:46 - mmengine - INFO - Epoch(train) [66][820/940] lr: 6.0000e-03 eta: 4:44:53 time: 0.5621 data_time: 0.0380 memory: 13609 grad_norm: 3.6708 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3087 loss: 1.3087 2022/08/01 21:46:55 - mmengine - INFO - Epoch(train) [66][840/940] lr: 6.0000e-03 eta: 4:44:41 time: 0.4670 data_time: 0.0425 memory: 13609 grad_norm: 3.6389 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3528 loss: 1.3528 2022/08/01 21:47:07 - mmengine - INFO - Epoch(train) [66][860/940] lr: 6.0000e-03 eta: 4:44:31 time: 0.5978 data_time: 0.0366 memory: 13609 grad_norm: 3.6234 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3404 loss: 1.3404 2022/08/01 21:47:16 - mmengine - INFO - Epoch(train) [66][880/940] lr: 6.0000e-03 eta: 4:44:20 time: 0.4388 data_time: 0.0357 memory: 13609 grad_norm: 3.5944 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2706 loss: 1.2706 2022/08/01 21:47:28 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:47:28 - mmengine - INFO - Epoch(train) [66][900/940] lr: 6.0000e-03 eta: 4:44:10 time: 0.6090 data_time: 0.0344 memory: 13609 grad_norm: 3.6225 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2667 loss: 1.2667 2022/08/01 21:47:37 - mmengine - INFO - Epoch(train) [66][920/940] lr: 6.0000e-03 eta: 4:43:58 time: 0.4599 data_time: 0.0345 memory: 13609 grad_norm: 3.6930 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3625 loss: 1.3625 2022/08/01 21:47:46 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 21:47:46 - mmengine - INFO - Epoch(train) [66][940/940] lr: 6.0000e-03 eta: 4:43:47 time: 0.4533 data_time: 0.0263 memory: 13609 grad_norm: 3.7449 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.3195 loss: 1.3195 2022/08/01 21:47:46 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/01 21:49:33 - mmengine - INFO - Epoch(val) [66][20/78] eta: 0:05:04 time: 5.2568 data_time: 4.5043 memory: 19674 2022/08/01 21:50:45 - mmengine - INFO - Epoch(val) [66][40/78] eta: 0:02:16 time: 3.5917 data_time: 2.8428 memory: 19674 2022/08/01 21:52:21 - mmengine - INFO - Epoch(val) [66][60/78] eta: 0:01:26 time: 4.8078 data_time: 4.0510 memory: 19674 2022/08/01 21:53:33 - mmengine - INFO - Epoch(val) [66][78/78] acc/top1: 0.7010 acc/top5: 0.8911 acc/mean1: 0.7009 2022/08/01 21:53:48 - mmengine - INFO - Epoch(train) [67][20/940] lr: 6.0000e-03 eta: 4:43:38 time: 0.7366 data_time: 0.3543 memory: 19674 grad_norm: 3.5317 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1452 loss: 1.1452 2022/08/01 21:53:58 - mmengine - INFO - Epoch(train) [67][40/940] lr: 6.0000e-03 eta: 4:43:27 time: 0.4716 data_time: 0.1326 memory: 13609 grad_norm: 3.5104 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3609 loss: 1.3609 2022/08/01 21:54:10 - mmengine - INFO - Epoch(train) [67][60/940] lr: 6.0000e-03 eta: 4:43:17 time: 0.5854 data_time: 0.2083 memory: 13609 grad_norm: 3.5599 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4044 loss: 1.4044 2022/08/01 21:54:21 - mmengine - INFO - Epoch(train) [67][80/940] lr: 6.0000e-03 eta: 4:43:07 time: 0.5653 data_time: 0.1776 memory: 13609 grad_norm: 3.5836 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3823 loss: 1.3823 2022/08/01 21:54:31 - mmengine - INFO - Epoch(train) [67][100/940] lr: 6.0000e-03 eta: 4:42:56 time: 0.5316 data_time: 0.1998 memory: 13609 grad_norm: 3.6019 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3238 loss: 1.3238 2022/08/01 21:54:42 - mmengine - INFO - Epoch(train) [67][120/940] lr: 6.0000e-03 eta: 4:42:45 time: 0.5110 data_time: 0.1156 memory: 13609 grad_norm: 3.7575 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3966 loss: 1.3966 2022/08/01 21:54:52 - mmengine - INFO - Epoch(train) [67][140/940] lr: 6.0000e-03 eta: 4:42:35 time: 0.5336 data_time: 0.2084 memory: 13609 grad_norm: 3.6506 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3794 loss: 1.3794 2022/08/01 21:55:02 - mmengine - INFO - Epoch(train) [67][160/940] lr: 6.0000e-03 eta: 4:42:23 time: 0.4939 data_time: 0.1819 memory: 13609 grad_norm: 3.6824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4385 loss: 1.4385 2022/08/01 21:55:14 - mmengine - INFO - Epoch(train) [67][180/940] lr: 6.0000e-03 eta: 4:42:14 time: 0.6039 data_time: 0.2984 memory: 13609 grad_norm: 3.5650 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2659 loss: 1.2659 2022/08/01 21:55:23 - mmengine - INFO - Epoch(train) [67][200/940] lr: 6.0000e-03 eta: 4:42:02 time: 0.4444 data_time: 0.1505 memory: 13609 grad_norm: 3.5467 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3041 loss: 1.3041 2022/08/01 21:55:34 - mmengine - INFO - Epoch(train) [67][220/940] lr: 6.0000e-03 eta: 4:41:51 time: 0.5281 data_time: 0.1675 memory: 13609 grad_norm: 3.6454 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2953 loss: 1.2953 2022/08/01 21:55:44 - mmengine - INFO - Epoch(train) [67][240/940] lr: 6.0000e-03 eta: 4:41:40 time: 0.4995 data_time: 0.0778 memory: 13609 grad_norm: 3.5586 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/08/01 21:55:56 - mmengine - INFO - Epoch(train) [67][260/940] lr: 6.0000e-03 eta: 4:41:30 time: 0.5931 data_time: 0.1273 memory: 13609 grad_norm: 3.6811 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2726 loss: 1.2726 2022/08/01 21:56:05 - mmengine - INFO - Epoch(train) [67][280/940] lr: 6.0000e-03 eta: 4:41:19 time: 0.4936 data_time: 0.1057 memory: 13609 grad_norm: 3.6679 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2774 loss: 1.2774 2022/08/01 21:56:17 - mmengine - INFO - Epoch(train) [67][300/940] lr: 6.0000e-03 eta: 4:41:09 time: 0.5759 data_time: 0.1355 memory: 13609 grad_norm: 3.5548 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3817 loss: 1.3817 2022/08/01 21:56:26 - mmengine - INFO - Epoch(train) [67][320/940] lr: 6.0000e-03 eta: 4:40:58 time: 0.4547 data_time: 0.0370 memory: 13609 grad_norm: 3.5522 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/08/01 21:56:37 - mmengine - INFO - Epoch(train) [67][340/940] lr: 6.0000e-03 eta: 4:40:47 time: 0.5494 data_time: 0.0524 memory: 13609 grad_norm: 3.6364 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3161 loss: 1.3161 2022/08/01 21:56:47 - mmengine - INFO - Epoch(train) [67][360/940] lr: 6.0000e-03 eta: 4:40:36 time: 0.4748 data_time: 0.0685 memory: 13609 grad_norm: 3.6626 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3035 loss: 1.3035 2022/08/01 21:56:58 - mmengine - INFO - Epoch(train) [67][380/940] lr: 6.0000e-03 eta: 4:40:25 time: 0.5502 data_time: 0.0550 memory: 13609 grad_norm: 3.6598 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3168 loss: 1.3168 2022/08/01 21:57:08 - mmengine - INFO - Epoch(train) [67][400/940] lr: 6.0000e-03 eta: 4:40:15 time: 0.5302 data_time: 0.0472 memory: 13609 grad_norm: 3.6231 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3713 loss: 1.3713 2022/08/01 21:57:19 - mmengine - INFO - Epoch(train) [67][420/940] lr: 6.0000e-03 eta: 4:40:04 time: 0.5221 data_time: 0.0578 memory: 13609 grad_norm: 3.6656 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3259 loss: 1.3259 2022/08/01 21:57:30 - mmengine - INFO - Epoch(train) [67][440/940] lr: 6.0000e-03 eta: 4:39:53 time: 0.5614 data_time: 0.0343 memory: 13609 grad_norm: 3.6284 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3019 loss: 1.3019 2022/08/01 21:57:39 - mmengine - INFO - Epoch(train) [67][460/940] lr: 6.0000e-03 eta: 4:39:42 time: 0.4616 data_time: 0.0476 memory: 13609 grad_norm: 3.6444 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2808 loss: 1.2808 2022/08/01 21:57:50 - mmengine - INFO - Epoch(train) [67][480/940] lr: 6.0000e-03 eta: 4:39:32 time: 0.5487 data_time: 0.0398 memory: 13609 grad_norm: 3.6243 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3940 loss: 1.3940 2022/08/01 21:58:00 - mmengine - INFO - Epoch(train) [67][500/940] lr: 6.0000e-03 eta: 4:39:21 time: 0.5194 data_time: 0.0385 memory: 13609 grad_norm: 3.6280 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3290 loss: 1.3290 2022/08/01 21:58:12 - mmengine - INFO - Epoch(train) [67][520/940] lr: 6.0000e-03 eta: 4:39:10 time: 0.5618 data_time: 0.0352 memory: 13609 grad_norm: 3.6512 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3157 loss: 1.3157 2022/08/01 21:58:21 - mmengine - INFO - Epoch(train) [67][540/940] lr: 6.0000e-03 eta: 4:38:59 time: 0.4627 data_time: 0.0355 memory: 13609 grad_norm: 3.6466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2677 loss: 1.2677 2022/08/01 21:58:33 - mmengine - INFO - Epoch(train) [67][560/940] lr: 6.0000e-03 eta: 4:38:49 time: 0.5881 data_time: 0.0378 memory: 13609 grad_norm: 3.5643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4332 loss: 1.4332 2022/08/01 21:58:42 - mmengine - INFO - Epoch(train) [67][580/940] lr: 6.0000e-03 eta: 4:38:38 time: 0.4883 data_time: 0.0373 memory: 13609 grad_norm: 3.5613 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2785 loss: 1.2785 2022/08/01 21:58:53 - mmengine - INFO - Epoch(train) [67][600/940] lr: 6.0000e-03 eta: 4:38:27 time: 0.5231 data_time: 0.0343 memory: 13609 grad_norm: 3.6433 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.2567 loss: 1.2567 2022/08/01 21:59:04 - mmengine - INFO - Epoch(train) [67][620/940] lr: 6.0000e-03 eta: 4:38:17 time: 0.5418 data_time: 0.0376 memory: 13609 grad_norm: 3.6666 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2246 loss: 1.2246 2022/08/01 21:59:14 - mmengine - INFO - Epoch(train) [67][640/940] lr: 6.0000e-03 eta: 4:38:06 time: 0.5063 data_time: 0.0385 memory: 13609 grad_norm: 3.6739 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3435 loss: 1.3435 2022/08/01 21:59:25 - mmengine - INFO - Epoch(train) [67][660/940] lr: 6.0000e-03 eta: 4:37:55 time: 0.5362 data_time: 0.0363 memory: 13609 grad_norm: 3.6629 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3594 loss: 1.3594 2022/08/01 21:59:36 - mmengine - INFO - Epoch(train) [67][680/940] lr: 6.0000e-03 eta: 4:37:45 time: 0.5565 data_time: 0.0330 memory: 13609 grad_norm: 3.6340 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3612 loss: 1.3612 2022/08/01 21:59:45 - mmengine - INFO - Epoch(train) [67][700/940] lr: 6.0000e-03 eta: 4:37:33 time: 0.4667 data_time: 0.0383 memory: 13609 grad_norm: 3.6635 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3152 loss: 1.3152 2022/08/01 21:59:56 - mmengine - INFO - Epoch(train) [67][720/940] lr: 6.0000e-03 eta: 4:37:23 time: 0.5484 data_time: 0.0361 memory: 13609 grad_norm: 3.7405 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3699 loss: 1.3699 2022/08/01 22:00:07 - mmengine - INFO - Epoch(train) [67][740/940] lr: 6.0000e-03 eta: 4:37:12 time: 0.5268 data_time: 0.0337 memory: 13609 grad_norm: 3.6841 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3974 loss: 1.3974 2022/08/01 22:00:18 - mmengine - INFO - Epoch(train) [67][760/940] lr: 6.0000e-03 eta: 4:37:02 time: 0.5803 data_time: 0.0345 memory: 13609 grad_norm: 3.6040 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3674 loss: 1.3674 2022/08/01 22:00:28 - mmengine - INFO - Epoch(train) [67][780/940] lr: 6.0000e-03 eta: 4:36:51 time: 0.5092 data_time: 0.0401 memory: 13609 grad_norm: 3.6396 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3226 loss: 1.3226 2022/08/01 22:00:40 - mmengine - INFO - Epoch(train) [67][800/940] lr: 6.0000e-03 eta: 4:36:41 time: 0.5843 data_time: 0.0418 memory: 13609 grad_norm: 3.7311 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3179 loss: 1.3179 2022/08/01 22:00:50 - mmengine - INFO - Epoch(train) [67][820/940] lr: 6.0000e-03 eta: 4:36:30 time: 0.4736 data_time: 0.0377 memory: 13609 grad_norm: 3.6267 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3384 loss: 1.3384 2022/08/01 22:01:01 - mmengine - INFO - Epoch(train) [67][840/940] lr: 6.0000e-03 eta: 4:36:19 time: 0.5546 data_time: 0.0341 memory: 13609 grad_norm: 3.6253 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3553 loss: 1.3553 2022/08/01 22:01:10 - mmengine - INFO - Epoch(train) [67][860/940] lr: 6.0000e-03 eta: 4:36:08 time: 0.4701 data_time: 0.0552 memory: 13609 grad_norm: 3.7232 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3530 loss: 1.3530 2022/08/01 22:01:22 - mmengine - INFO - Epoch(train) [67][880/940] lr: 6.0000e-03 eta: 4:35:58 time: 0.5833 data_time: 0.0351 memory: 13609 grad_norm: 3.6675 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3289 loss: 1.3289 2022/08/01 22:01:31 - mmengine - INFO - Epoch(train) [67][900/940] lr: 6.0000e-03 eta: 4:35:47 time: 0.4699 data_time: 0.0368 memory: 13609 grad_norm: 3.7105 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3491 loss: 1.3491 2022/08/01 22:01:43 - mmengine - INFO - Epoch(train) [67][920/940] lr: 6.0000e-03 eta: 4:35:36 time: 0.5900 data_time: 0.0374 memory: 13609 grad_norm: 3.6852 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3209 loss: 1.3209 2022/08/01 22:01:51 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:01:51 - mmengine - INFO - Epoch(train) [67][940/940] lr: 6.0000e-03 eta: 4:35:24 time: 0.3984 data_time: 0.0243 memory: 13609 grad_norm: 3.8618 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.3749 loss: 1.3749 2022/08/01 22:03:37 - mmengine - INFO - Epoch(val) [67][20/78] eta: 0:05:08 time: 5.3117 data_time: 4.5384 memory: 19674 2022/08/01 22:04:50 - mmengine - INFO - Epoch(val) [67][40/78] eta: 0:02:17 time: 3.6164 data_time: 2.8583 memory: 19674 2022/08/01 22:06:25 - mmengine - INFO - Epoch(val) [67][60/78] eta: 0:01:26 time: 4.7791 data_time: 4.0326 memory: 19674 2022/08/01 22:07:38 - mmengine - INFO - Epoch(val) [67][78/78] acc/top1: 0.6999 acc/top5: 0.8907 acc/mean1: 0.6998 2022/08/01 22:07:52 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:07:52 - mmengine - INFO - Epoch(train) [68][20/940] lr: 6.0000e-03 eta: 4:35:15 time: 0.6959 data_time: 0.3364 memory: 19674 grad_norm: 3.5795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3482 loss: 1.3482 2022/08/01 22:08:01 - mmengine - INFO - Epoch(train) [68][40/940] lr: 6.0000e-03 eta: 4:35:04 time: 0.4730 data_time: 0.0527 memory: 13609 grad_norm: 3.5781 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3427 loss: 1.3427 2022/08/01 22:08:13 - mmengine - INFO - Epoch(train) [68][60/940] lr: 6.0000e-03 eta: 4:34:54 time: 0.5717 data_time: 0.0642 memory: 13609 grad_norm: 3.6537 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2187 loss: 1.2187 2022/08/01 22:08:23 - mmengine - INFO - Epoch(train) [68][80/940] lr: 6.0000e-03 eta: 4:34:43 time: 0.5219 data_time: 0.0992 memory: 13609 grad_norm: 3.6759 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3023 loss: 1.3023 2022/08/01 22:08:35 - mmengine - INFO - Epoch(train) [68][100/940] lr: 6.0000e-03 eta: 4:34:33 time: 0.5884 data_time: 0.0676 memory: 13609 grad_norm: 3.6347 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4030 loss: 1.4030 2022/08/01 22:08:45 - mmengine - INFO - Epoch(train) [68][120/940] lr: 6.0000e-03 eta: 4:34:22 time: 0.5096 data_time: 0.0636 memory: 13609 grad_norm: 3.6106 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2207 loss: 1.2207 2022/08/01 22:08:57 - mmengine - INFO - Epoch(train) [68][140/940] lr: 6.0000e-03 eta: 4:34:12 time: 0.5892 data_time: 0.0400 memory: 13609 grad_norm: 3.6757 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4325 loss: 1.4325 2022/08/01 22:09:07 - mmengine - INFO - Epoch(train) [68][160/940] lr: 6.0000e-03 eta: 4:34:01 time: 0.4882 data_time: 0.0341 memory: 13609 grad_norm: 3.7004 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3109 loss: 1.3109 2022/08/01 22:09:18 - mmengine - INFO - Epoch(train) [68][180/940] lr: 6.0000e-03 eta: 4:33:50 time: 0.5513 data_time: 0.0354 memory: 13609 grad_norm: 3.7127 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3088 loss: 1.3088 2022/08/01 22:09:28 - mmengine - INFO - Epoch(train) [68][200/940] lr: 6.0000e-03 eta: 4:33:39 time: 0.5004 data_time: 0.0458 memory: 13609 grad_norm: 3.6693 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4317 loss: 1.4317 2022/08/01 22:09:39 - mmengine - INFO - Epoch(train) [68][220/940] lr: 6.0000e-03 eta: 4:33:29 time: 0.5686 data_time: 0.0317 memory: 13609 grad_norm: 3.6782 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2503 loss: 1.2503 2022/08/01 22:09:48 - mmengine - INFO - Epoch(train) [68][240/940] lr: 6.0000e-03 eta: 4:33:18 time: 0.4514 data_time: 0.0351 memory: 13609 grad_norm: 3.6417 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3667 loss: 1.3667 2022/08/01 22:10:00 - mmengine - INFO - Epoch(train) [68][260/940] lr: 6.0000e-03 eta: 4:33:08 time: 0.5980 data_time: 0.0364 memory: 13609 grad_norm: 3.6576 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2813 loss: 1.2813 2022/08/01 22:10:10 - mmengine - INFO - Epoch(train) [68][280/940] lr: 6.0000e-03 eta: 4:32:56 time: 0.4764 data_time: 0.0351 memory: 13609 grad_norm: 3.6921 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3312 loss: 1.3312 2022/08/01 22:10:22 - mmengine - INFO - Epoch(train) [68][300/940] lr: 6.0000e-03 eta: 4:32:46 time: 0.5879 data_time: 0.0335 memory: 13609 grad_norm: 3.6056 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3335 loss: 1.3335 2022/08/01 22:10:30 - mmengine - INFO - Epoch(train) [68][320/940] lr: 6.0000e-03 eta: 4:32:35 time: 0.4168 data_time: 0.0289 memory: 13609 grad_norm: 3.5664 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1960 loss: 1.1960 2022/08/01 22:10:41 - mmengine - INFO - Epoch(train) [68][340/940] lr: 6.0000e-03 eta: 4:32:24 time: 0.5557 data_time: 0.0700 memory: 13609 grad_norm: 3.7164 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2667 loss: 1.2667 2022/08/01 22:10:51 - mmengine - INFO - Epoch(train) [68][360/940] lr: 6.0000e-03 eta: 4:32:13 time: 0.5030 data_time: 0.0378 memory: 13609 grad_norm: 3.6375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2623 loss: 1.2623 2022/08/01 22:11:02 - mmengine - INFO - Epoch(train) [68][380/940] lr: 6.0000e-03 eta: 4:32:03 time: 0.5674 data_time: 0.0480 memory: 13609 grad_norm: 3.6343 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4034 loss: 1.4034 2022/08/01 22:11:13 - mmengine - INFO - Epoch(train) [68][400/940] lr: 6.0000e-03 eta: 4:31:52 time: 0.5125 data_time: 0.0311 memory: 13609 grad_norm: 3.6430 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2566 loss: 1.2566 2022/08/01 22:11:24 - mmengine - INFO - Epoch(train) [68][420/940] lr: 6.0000e-03 eta: 4:31:42 time: 0.5675 data_time: 0.1282 memory: 13609 grad_norm: 3.6929 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.3311 loss: 1.3311 2022/08/01 22:11:34 - mmengine - INFO - Epoch(train) [68][440/940] lr: 6.0000e-03 eta: 4:31:31 time: 0.4994 data_time: 0.1763 memory: 13609 grad_norm: 3.6158 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3591 loss: 1.3591 2022/08/01 22:11:45 - mmengine - INFO - Epoch(train) [68][460/940] lr: 6.0000e-03 eta: 4:31:20 time: 0.5493 data_time: 0.1921 memory: 13609 grad_norm: 3.6608 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1921 loss: 1.1921 2022/08/01 22:11:54 - mmengine - INFO - Epoch(train) [68][480/940] lr: 6.0000e-03 eta: 4:31:09 time: 0.4547 data_time: 0.0870 memory: 13609 grad_norm: 3.6486 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2673 loss: 1.2673 2022/08/01 22:12:05 - mmengine - INFO - Epoch(train) [68][500/940] lr: 6.0000e-03 eta: 4:30:58 time: 0.5603 data_time: 0.1518 memory: 13609 grad_norm: 3.6831 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2361 loss: 1.2361 2022/08/01 22:12:15 - mmengine - INFO - Epoch(train) [68][520/940] lr: 6.0000e-03 eta: 4:30:47 time: 0.4973 data_time: 0.1712 memory: 13609 grad_norm: 3.7579 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3062 loss: 1.3062 2022/08/01 22:12:26 - mmengine - INFO - Epoch(train) [68][540/940] lr: 6.0000e-03 eta: 4:30:37 time: 0.5505 data_time: 0.1614 memory: 13609 grad_norm: 3.7126 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3490 loss: 1.3490 2022/08/01 22:12:37 - mmengine - INFO - Epoch(train) [68][560/940] lr: 6.0000e-03 eta: 4:30:26 time: 0.5468 data_time: 0.0402 memory: 13609 grad_norm: 3.7429 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3356 loss: 1.3356 2022/08/01 22:12:48 - mmengine - INFO - Epoch(train) [68][580/940] lr: 6.0000e-03 eta: 4:30:16 time: 0.5297 data_time: 0.0468 memory: 13609 grad_norm: 3.7493 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3774 loss: 1.3774 2022/08/01 22:12:58 - mmengine - INFO - Epoch(train) [68][600/940] lr: 6.0000e-03 eta: 4:30:05 time: 0.4987 data_time: 0.0376 memory: 13609 grad_norm: 3.6495 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2841 loss: 1.2841 2022/08/01 22:13:09 - mmengine - INFO - Epoch(train) [68][620/940] lr: 6.0000e-03 eta: 4:29:54 time: 0.5318 data_time: 0.0449 memory: 13609 grad_norm: 3.6521 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2370 loss: 1.2370 2022/08/01 22:13:19 - mmengine - INFO - Epoch(train) [68][640/940] lr: 6.0000e-03 eta: 4:29:43 time: 0.5015 data_time: 0.0347 memory: 13609 grad_norm: 3.7352 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3223 loss: 1.3223 2022/08/01 22:13:30 - mmengine - INFO - Epoch(train) [68][660/940] lr: 6.0000e-03 eta: 4:29:33 time: 0.5603 data_time: 0.0400 memory: 13609 grad_norm: 3.7107 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2679 loss: 1.2679 2022/08/01 22:13:41 - mmengine - INFO - Epoch(train) [68][680/940] lr: 6.0000e-03 eta: 4:29:22 time: 0.5389 data_time: 0.0461 memory: 13609 grad_norm: 3.7509 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3945 loss: 1.3945 2022/08/01 22:13:52 - mmengine - INFO - Epoch(train) [68][700/940] lr: 6.0000e-03 eta: 4:29:12 time: 0.5489 data_time: 0.0305 memory: 13609 grad_norm: 3.6871 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2813 loss: 1.2813 2022/08/01 22:14:02 - mmengine - INFO - Epoch(train) [68][720/940] lr: 6.0000e-03 eta: 4:29:01 time: 0.5293 data_time: 0.0454 memory: 13609 grad_norm: 3.7854 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2958 loss: 1.2958 2022/08/01 22:14:11 - mmengine - INFO - Epoch(train) [68][740/940] lr: 6.0000e-03 eta: 4:28:50 time: 0.4462 data_time: 0.0328 memory: 13609 grad_norm: 3.7223 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3187 loss: 1.3187 2022/08/01 22:14:21 - mmengine - INFO - Epoch(train) [68][760/940] lr: 6.0000e-03 eta: 4:28:39 time: 0.4957 data_time: 0.0421 memory: 13609 grad_norm: 3.6071 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5067 loss: 1.5067 2022/08/01 22:14:33 - mmengine - INFO - Epoch(train) [68][780/940] lr: 6.0000e-03 eta: 4:28:29 time: 0.6006 data_time: 0.0283 memory: 13609 grad_norm: 3.6830 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3750 loss: 1.3750 2022/08/01 22:14:43 - mmengine - INFO - Epoch(train) [68][800/940] lr: 6.0000e-03 eta: 4:28:18 time: 0.5108 data_time: 0.0353 memory: 13609 grad_norm: 3.8151 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3564 loss: 1.3564 2022/08/01 22:14:53 - mmengine - INFO - Epoch(train) [68][820/940] lr: 6.0000e-03 eta: 4:28:07 time: 0.5003 data_time: 0.0358 memory: 13609 grad_norm: 3.7197 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3070 loss: 1.3070 2022/08/01 22:15:04 - mmengine - INFO - Epoch(train) [68][840/940] lr: 6.0000e-03 eta: 4:27:56 time: 0.5395 data_time: 0.0379 memory: 13609 grad_norm: 3.6245 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3658 loss: 1.3658 2022/08/01 22:15:15 - mmengine - INFO - Epoch(train) [68][860/940] lr: 6.0000e-03 eta: 4:27:45 time: 0.5239 data_time: 0.0358 memory: 13609 grad_norm: 3.7426 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2929 loss: 1.2929 2022/08/01 22:15:25 - mmengine - INFO - Epoch(train) [68][880/940] lr: 6.0000e-03 eta: 4:27:34 time: 0.5089 data_time: 0.0365 memory: 13609 grad_norm: 3.6879 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2709 loss: 1.2709 2022/08/01 22:15:35 - mmengine - INFO - Epoch(train) [68][900/940] lr: 6.0000e-03 eta: 4:27:24 time: 0.5219 data_time: 0.0721 memory: 13609 grad_norm: 3.7238 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3581 loss: 1.3581 2022/08/01 22:15:46 - mmengine - INFO - Epoch(train) [68][920/940] lr: 6.0000e-03 eta: 4:27:13 time: 0.5608 data_time: 0.0499 memory: 13609 grad_norm: 3.7920 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4215 loss: 1.4215 2022/08/01 22:15:55 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:15:55 - mmengine - INFO - Epoch(train) [68][940/940] lr: 6.0000e-03 eta: 4:27:02 time: 0.4255 data_time: 0.0265 memory: 13609 grad_norm: 3.7912 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2777 loss: 1.2777 2022/08/01 22:17:40 - mmengine - INFO - Epoch(val) [68][20/78] eta: 0:05:03 time: 5.2391 data_time: 4.4636 memory: 19674 2022/08/01 22:18:52 - mmengine - INFO - Epoch(val) [68][40/78] eta: 0:02:16 time: 3.5974 data_time: 2.8398 memory: 19674 2022/08/01 22:20:28 - mmengine - INFO - Epoch(val) [68][60/78] eta: 0:01:26 time: 4.8147 data_time: 4.0700 memory: 19674 2022/08/01 22:21:41 - mmengine - INFO - Epoch(val) [68][78/78] acc/top1: 0.6998 acc/top5: 0.8930 acc/mean1: 0.6997 2022/08/01 22:21:56 - mmengine - INFO - Epoch(train) [69][20/940] lr: 6.0000e-03 eta: 4:26:53 time: 0.7004 data_time: 0.3091 memory: 19674 grad_norm: 3.5847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2222 loss: 1.2222 2022/08/01 22:22:05 - mmengine - INFO - Epoch(train) [69][40/940] lr: 6.0000e-03 eta: 4:26:41 time: 0.4768 data_time: 0.0758 memory: 13609 grad_norm: 3.6598 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3663 loss: 1.3663 2022/08/01 22:22:17 - mmengine - INFO - Epoch(train) [69][60/940] lr: 6.0000e-03 eta: 4:26:31 time: 0.5890 data_time: 0.0986 memory: 13609 grad_norm: 3.7550 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2602 loss: 1.2602 2022/08/01 22:22:27 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:22:27 - mmengine - INFO - Epoch(train) [69][80/940] lr: 6.0000e-03 eta: 4:26:20 time: 0.5007 data_time: 0.0360 memory: 13609 grad_norm: 3.6895 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.2994 loss: 1.2994 2022/08/01 22:22:38 - mmengine - INFO - Epoch(train) [69][100/940] lr: 6.0000e-03 eta: 4:26:10 time: 0.5797 data_time: 0.0370 memory: 13609 grad_norm: 3.6435 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2872 loss: 1.2872 2022/08/01 22:22:48 - mmengine - INFO - Epoch(train) [69][120/940] lr: 6.0000e-03 eta: 4:25:59 time: 0.4671 data_time: 0.0360 memory: 13609 grad_norm: 3.7133 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3474 loss: 1.3474 2022/08/01 22:23:00 - mmengine - INFO - Epoch(train) [69][140/940] lr: 6.0000e-03 eta: 4:25:49 time: 0.6254 data_time: 0.0379 memory: 13609 grad_norm: 3.6570 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/08/01 22:23:10 - mmengine - INFO - Epoch(train) [69][160/940] lr: 6.0000e-03 eta: 4:25:38 time: 0.4773 data_time: 0.0358 memory: 13609 grad_norm: 3.6568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4080 loss: 1.4080 2022/08/01 22:23:22 - mmengine - INFO - Epoch(train) [69][180/940] lr: 6.0000e-03 eta: 4:25:28 time: 0.5912 data_time: 0.0319 memory: 13609 grad_norm: 3.6942 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2104 loss: 1.2104 2022/08/01 22:23:30 - mmengine - INFO - Epoch(train) [69][200/940] lr: 6.0000e-03 eta: 4:25:16 time: 0.4224 data_time: 0.0403 memory: 13609 grad_norm: 3.6471 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/08/01 22:23:42 - mmengine - INFO - Epoch(train) [69][220/940] lr: 6.0000e-03 eta: 4:25:06 time: 0.5896 data_time: 0.0396 memory: 13609 grad_norm: 3.6650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2458 loss: 1.2458 2022/08/01 22:23:51 - mmengine - INFO - Epoch(train) [69][240/940] lr: 6.0000e-03 eta: 4:24:55 time: 0.4569 data_time: 0.0400 memory: 13609 grad_norm: 3.6475 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3804 loss: 1.3804 2022/08/01 22:24:03 - mmengine - INFO - Epoch(train) [69][260/940] lr: 6.0000e-03 eta: 4:24:45 time: 0.5904 data_time: 0.0348 memory: 13609 grad_norm: 3.6938 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3744 loss: 1.3744 2022/08/01 22:24:13 - mmengine - INFO - Epoch(train) [69][280/940] lr: 6.0000e-03 eta: 4:24:34 time: 0.5264 data_time: 0.0402 memory: 13609 grad_norm: 3.6918 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3835 loss: 1.3835 2022/08/01 22:24:24 - mmengine - INFO - Epoch(train) [69][300/940] lr: 6.0000e-03 eta: 4:24:23 time: 0.5218 data_time: 0.0332 memory: 13609 grad_norm: 3.6482 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2229 loss: 1.2229 2022/08/01 22:24:34 - mmengine - INFO - Epoch(train) [69][320/940] lr: 6.0000e-03 eta: 4:24:12 time: 0.5144 data_time: 0.0361 memory: 13609 grad_norm: 3.7205 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3555 loss: 1.3555 2022/08/01 22:24:45 - mmengine - INFO - Epoch(train) [69][340/940] lr: 6.0000e-03 eta: 4:24:02 time: 0.5371 data_time: 0.0342 memory: 13609 grad_norm: 3.7465 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2754 loss: 1.2754 2022/08/01 22:24:54 - mmengine - INFO - Epoch(train) [69][360/940] lr: 6.0000e-03 eta: 4:23:50 time: 0.4637 data_time: 0.0396 memory: 13609 grad_norm: 3.6487 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2883 loss: 1.2883 2022/08/01 22:25:06 - mmengine - INFO - Epoch(train) [69][380/940] lr: 6.0000e-03 eta: 4:23:40 time: 0.6208 data_time: 0.0553 memory: 13609 grad_norm: 3.8147 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2969 loss: 1.2969 2022/08/01 22:25:16 - mmengine - INFO - Epoch(train) [69][400/940] lr: 6.0000e-03 eta: 4:23:29 time: 0.4585 data_time: 0.0357 memory: 13609 grad_norm: 3.7008 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3654 loss: 1.3654 2022/08/01 22:25:27 - mmengine - INFO - Epoch(train) [69][420/940] lr: 6.0000e-03 eta: 4:23:19 time: 0.5451 data_time: 0.0336 memory: 13609 grad_norm: 3.7466 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2712 loss: 1.2712 2022/08/01 22:25:36 - mmengine - INFO - Epoch(train) [69][440/940] lr: 6.0000e-03 eta: 4:23:07 time: 0.4574 data_time: 0.0362 memory: 13609 grad_norm: 3.6908 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3303 loss: 1.3303 2022/08/01 22:25:47 - mmengine - INFO - Epoch(train) [69][460/940] lr: 6.0000e-03 eta: 4:22:57 time: 0.5706 data_time: 0.0330 memory: 13609 grad_norm: 3.6963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2912 loss: 1.2912 2022/08/01 22:25:57 - mmengine - INFO - Epoch(train) [69][480/940] lr: 6.0000e-03 eta: 4:22:46 time: 0.5064 data_time: 0.0441 memory: 13609 grad_norm: 3.7563 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2983 loss: 1.2983 2022/08/01 22:26:09 - mmengine - INFO - Epoch(train) [69][500/940] lr: 6.0000e-03 eta: 4:22:36 time: 0.5808 data_time: 0.0331 memory: 13609 grad_norm: 3.6886 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2512 loss: 1.2512 2022/08/01 22:26:19 - mmengine - INFO - Epoch(train) [69][520/940] lr: 6.0000e-03 eta: 4:22:25 time: 0.5086 data_time: 0.0435 memory: 13609 grad_norm: 3.6963 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1832 loss: 1.1832 2022/08/01 22:26:32 - mmengine - INFO - Epoch(train) [69][540/940] lr: 6.0000e-03 eta: 4:22:15 time: 0.6208 data_time: 0.0327 memory: 13609 grad_norm: 3.8515 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.3089 loss: 1.3089 2022/08/01 22:26:41 - mmengine - INFO - Epoch(train) [69][560/940] lr: 6.0000e-03 eta: 4:22:04 time: 0.4622 data_time: 0.0395 memory: 13609 grad_norm: 3.8163 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3782 loss: 1.3782 2022/08/01 22:26:51 - mmengine - INFO - Epoch(train) [69][580/940] lr: 6.0000e-03 eta: 4:21:53 time: 0.5195 data_time: 0.0361 memory: 13609 grad_norm: 3.7096 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3431 loss: 1.3431 2022/08/01 22:27:01 - mmengine - INFO - Epoch(train) [69][600/940] lr: 6.0000e-03 eta: 4:21:42 time: 0.4842 data_time: 0.0346 memory: 13609 grad_norm: 3.8115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3482 loss: 1.3482 2022/08/01 22:27:12 - mmengine - INFO - Epoch(train) [69][620/940] lr: 6.0000e-03 eta: 4:21:32 time: 0.5608 data_time: 0.0354 memory: 13609 grad_norm: 3.8433 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3774 loss: 1.3774 2022/08/01 22:27:21 - mmengine - INFO - Epoch(train) [69][640/940] lr: 6.0000e-03 eta: 4:21:20 time: 0.4655 data_time: 0.0387 memory: 13609 grad_norm: 3.7704 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2435 loss: 1.2435 2022/08/01 22:27:32 - mmengine - INFO - Epoch(train) [69][660/940] lr: 6.0000e-03 eta: 4:21:10 time: 0.5459 data_time: 0.0356 memory: 13609 grad_norm: 3.7967 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3785 loss: 1.3785 2022/08/01 22:27:44 - mmengine - INFO - Epoch(train) [69][680/940] lr: 6.0000e-03 eta: 4:20:59 time: 0.5747 data_time: 0.0394 memory: 13609 grad_norm: 3.8065 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3732 loss: 1.3732 2022/08/01 22:27:53 - mmengine - INFO - Epoch(train) [69][700/940] lr: 6.0000e-03 eta: 4:20:48 time: 0.4697 data_time: 0.0337 memory: 13609 grad_norm: 3.6685 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3153 loss: 1.3153 2022/08/01 22:28:04 - mmengine - INFO - Epoch(train) [69][720/940] lr: 6.0000e-03 eta: 4:20:38 time: 0.5500 data_time: 0.0324 memory: 13609 grad_norm: 3.7317 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5214 loss: 1.5214 2022/08/01 22:28:14 - mmengine - INFO - Epoch(train) [69][740/940] lr: 6.0000e-03 eta: 4:20:27 time: 0.4912 data_time: 0.0503 memory: 13609 grad_norm: 3.8112 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3430 loss: 1.3430 2022/08/01 22:28:25 - mmengine - INFO - Epoch(train) [69][760/940] lr: 6.0000e-03 eta: 4:20:16 time: 0.5600 data_time: 0.0388 memory: 13609 grad_norm: 3.7478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3565 loss: 1.3565 2022/08/01 22:28:34 - mmengine - INFO - Epoch(train) [69][780/940] lr: 6.0000e-03 eta: 4:20:05 time: 0.4599 data_time: 0.0326 memory: 13609 grad_norm: 3.9433 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/08/01 22:28:46 - mmengine - INFO - Epoch(train) [69][800/940] lr: 6.0000e-03 eta: 4:19:55 time: 0.5707 data_time: 0.0354 memory: 13609 grad_norm: 3.7206 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3946 loss: 1.3946 2022/08/01 22:28:55 - mmengine - INFO - Epoch(train) [69][820/940] lr: 6.0000e-03 eta: 4:19:43 time: 0.4556 data_time: 0.0314 memory: 13609 grad_norm: 3.7040 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3011 loss: 1.3011 2022/08/01 22:29:06 - mmengine - INFO - Epoch(train) [69][840/940] lr: 6.0000e-03 eta: 4:19:33 time: 0.5711 data_time: 0.0375 memory: 13609 grad_norm: 3.7414 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2645 loss: 1.2645 2022/08/01 22:29:17 - mmengine - INFO - Epoch(train) [69][860/940] lr: 6.0000e-03 eta: 4:19:22 time: 0.5142 data_time: 0.0362 memory: 13609 grad_norm: 3.8137 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3254 loss: 1.3254 2022/08/01 22:29:28 - mmengine - INFO - Epoch(train) [69][880/940] lr: 6.0000e-03 eta: 4:19:12 time: 0.5405 data_time: 0.0434 memory: 13609 grad_norm: 3.7349 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3968 loss: 1.3968 2022/08/01 22:29:38 - mmengine - INFO - Epoch(train) [69][900/940] lr: 6.0000e-03 eta: 4:19:01 time: 0.5185 data_time: 0.0372 memory: 13609 grad_norm: 3.8719 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4073 loss: 1.4073 2022/08/01 22:29:48 - mmengine - INFO - Epoch(train) [69][920/940] lr: 6.0000e-03 eta: 4:18:50 time: 0.5255 data_time: 0.0335 memory: 13609 grad_norm: 3.7359 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3457 loss: 1.3457 2022/08/01 22:29:58 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:29:58 - mmengine - INFO - Epoch(train) [69][940/940] lr: 6.0000e-03 eta: 4:18:39 time: 0.4612 data_time: 0.0442 memory: 13609 grad_norm: 3.9233 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3346 loss: 1.3346 2022/08/01 22:29:58 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/01 22:31:46 - mmengine - INFO - Epoch(val) [69][20/78] eta: 0:05:06 time: 5.2774 data_time: 4.5397 memory: 19674 2022/08/01 22:32:58 - mmengine - INFO - Epoch(val) [69][40/78] eta: 0:02:17 time: 3.6160 data_time: 2.8770 memory: 19674 2022/08/01 22:34:34 - mmengine - INFO - Epoch(val) [69][60/78] eta: 0:01:26 time: 4.7949 data_time: 4.0483 memory: 19674 2022/08/01 22:35:44 - mmengine - INFO - Epoch(val) [69][78/78] acc/top1: 0.7022 acc/top5: 0.8904 acc/mean1: 0.7020 2022/08/01 22:35:59 - mmengine - INFO - Epoch(train) [70][20/940] lr: 6.0000e-03 eta: 4:18:30 time: 0.6962 data_time: 0.3384 memory: 19674 grad_norm: 3.7379 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2298 loss: 1.2298 2022/08/01 22:36:09 - mmengine - INFO - Epoch(train) [70][40/940] lr: 6.0000e-03 eta: 4:18:19 time: 0.5385 data_time: 0.0590 memory: 13609 grad_norm: 3.7802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2961 loss: 1.2961 2022/08/01 22:36:19 - mmengine - INFO - Epoch(train) [70][60/940] lr: 6.0000e-03 eta: 4:18:08 time: 0.5122 data_time: 0.1347 memory: 13609 grad_norm: 3.7050 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3378 loss: 1.3378 2022/08/01 22:36:30 - mmengine - INFO - Epoch(train) [70][80/940] lr: 6.0000e-03 eta: 4:17:57 time: 0.5196 data_time: 0.0355 memory: 13609 grad_norm: 3.7846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3306 loss: 1.3306 2022/08/01 22:36:41 - mmengine - INFO - Epoch(train) [70][100/940] lr: 6.0000e-03 eta: 4:17:47 time: 0.5820 data_time: 0.0392 memory: 13609 grad_norm: 3.7870 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2278 loss: 1.2278 2022/08/01 22:36:51 - mmengine - INFO - Epoch(train) [70][120/940] lr: 6.0000e-03 eta: 4:17:36 time: 0.4793 data_time: 0.0319 memory: 13609 grad_norm: 3.8551 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3387 loss: 1.3387 2022/08/01 22:37:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:37:03 - mmengine - INFO - Epoch(train) [70][140/940] lr: 6.0000e-03 eta: 4:17:26 time: 0.5976 data_time: 0.0294 memory: 13609 grad_norm: 3.7452 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3943 loss: 1.3943 2022/08/01 22:37:13 - mmengine - INFO - Epoch(train) [70][160/940] lr: 6.0000e-03 eta: 4:17:15 time: 0.4942 data_time: 0.0394 memory: 13609 grad_norm: 3.7360 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4334 loss: 1.4334 2022/08/01 22:37:24 - mmengine - INFO - Epoch(train) [70][180/940] lr: 6.0000e-03 eta: 4:17:05 time: 0.5544 data_time: 0.0364 memory: 13609 grad_norm: 3.8407 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3669 loss: 1.3669 2022/08/01 22:37:34 - mmengine - INFO - Epoch(train) [70][200/940] lr: 6.0000e-03 eta: 4:16:54 time: 0.5160 data_time: 0.0386 memory: 13609 grad_norm: 3.7050 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3810 loss: 1.3810 2022/08/01 22:37:45 - mmengine - INFO - Epoch(train) [70][220/940] lr: 6.0000e-03 eta: 4:16:43 time: 0.5282 data_time: 0.0430 memory: 13609 grad_norm: 3.8220 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2943 loss: 1.2943 2022/08/01 22:37:54 - mmengine - INFO - Epoch(train) [70][240/940] lr: 6.0000e-03 eta: 4:16:32 time: 0.4680 data_time: 0.0464 memory: 13609 grad_norm: 3.7618 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3780 loss: 1.3780 2022/08/01 22:38:06 - mmengine - INFO - Epoch(train) [70][260/940] lr: 6.0000e-03 eta: 4:16:22 time: 0.5904 data_time: 0.0319 memory: 13609 grad_norm: 3.7963 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4699 loss: 1.4699 2022/08/01 22:38:16 - mmengine - INFO - Epoch(train) [70][280/940] lr: 6.0000e-03 eta: 4:16:11 time: 0.5138 data_time: 0.0321 memory: 13609 grad_norm: 3.7516 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2655 loss: 1.2655 2022/08/01 22:38:27 - mmengine - INFO - Epoch(train) [70][300/940] lr: 6.0000e-03 eta: 4:16:00 time: 0.5389 data_time: 0.0640 memory: 13609 grad_norm: 3.7684 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2921 loss: 1.2921 2022/08/01 22:38:37 - mmengine - INFO - Epoch(train) [70][320/940] lr: 6.0000e-03 eta: 4:15:49 time: 0.4792 data_time: 0.0315 memory: 13609 grad_norm: 3.6642 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/08/01 22:38:47 - mmengine - INFO - Epoch(train) [70][340/940] lr: 6.0000e-03 eta: 4:15:39 time: 0.5319 data_time: 0.0341 memory: 13609 grad_norm: 3.7357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2474 loss: 1.2474 2022/08/01 22:38:58 - mmengine - INFO - Epoch(train) [70][360/940] lr: 6.0000e-03 eta: 4:15:28 time: 0.5232 data_time: 0.0667 memory: 13609 grad_norm: 3.8100 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2529 loss: 1.2529 2022/08/01 22:39:10 - mmengine - INFO - Epoch(train) [70][380/940] lr: 6.0000e-03 eta: 4:15:18 time: 0.5895 data_time: 0.0338 memory: 13609 grad_norm: 3.7755 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3739 loss: 1.3739 2022/08/01 22:39:19 - mmengine - INFO - Epoch(train) [70][400/940] lr: 6.0000e-03 eta: 4:15:06 time: 0.4706 data_time: 0.0329 memory: 13609 grad_norm: 3.8766 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4071 loss: 1.4071 2022/08/01 22:39:30 - mmengine - INFO - Epoch(train) [70][420/940] lr: 6.0000e-03 eta: 4:14:56 time: 0.5563 data_time: 0.0355 memory: 13609 grad_norm: 3.8311 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2706 loss: 1.2706 2022/08/01 22:39:40 - mmengine - INFO - Epoch(train) [70][440/940] lr: 6.0000e-03 eta: 4:14:45 time: 0.4987 data_time: 0.0391 memory: 13609 grad_norm: 3.7839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2875 loss: 1.2875 2022/08/01 22:39:51 - mmengine - INFO - Epoch(train) [70][460/940] lr: 6.0000e-03 eta: 4:14:35 time: 0.5414 data_time: 0.0333 memory: 13609 grad_norm: 3.7735 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2957 loss: 1.2957 2022/08/01 22:40:01 - mmengine - INFO - Epoch(train) [70][480/940] lr: 6.0000e-03 eta: 4:14:24 time: 0.5122 data_time: 0.0345 memory: 13609 grad_norm: 3.7927 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3243 loss: 1.3243 2022/08/01 22:40:12 - mmengine - INFO - Epoch(train) [70][500/940] lr: 6.0000e-03 eta: 4:14:13 time: 0.5247 data_time: 0.0795 memory: 13609 grad_norm: 3.8167 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4384 loss: 1.4384 2022/08/01 22:40:22 - mmengine - INFO - Epoch(train) [70][520/940] lr: 6.0000e-03 eta: 4:14:02 time: 0.5035 data_time: 0.1009 memory: 13609 grad_norm: 3.8474 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4059 loss: 1.4059 2022/08/01 22:40:34 - mmengine - INFO - Epoch(train) [70][540/940] lr: 6.0000e-03 eta: 4:13:52 time: 0.6119 data_time: 0.0688 memory: 13609 grad_norm: 3.7896 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3340 loss: 1.3340 2022/08/01 22:40:43 - mmengine - INFO - Epoch(train) [70][560/940] lr: 6.0000e-03 eta: 4:13:41 time: 0.4721 data_time: 0.0372 memory: 13609 grad_norm: 3.7906 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4313 loss: 1.4313 2022/08/01 22:40:54 - mmengine - INFO - Epoch(train) [70][580/940] lr: 6.0000e-03 eta: 4:13:30 time: 0.5425 data_time: 0.1308 memory: 13609 grad_norm: 3.8042 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3386 loss: 1.3386 2022/08/01 22:41:04 - mmengine - INFO - Epoch(train) [70][600/940] lr: 6.0000e-03 eta: 4:13:19 time: 0.4843 data_time: 0.0986 memory: 13609 grad_norm: 3.7301 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2261 loss: 1.2261 2022/08/01 22:41:14 - mmengine - INFO - Epoch(train) [70][620/940] lr: 6.0000e-03 eta: 4:13:09 time: 0.5193 data_time: 0.0813 memory: 13609 grad_norm: 3.7508 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3287 loss: 1.3287 2022/08/01 22:41:25 - mmengine - INFO - Epoch(train) [70][640/940] lr: 6.0000e-03 eta: 4:12:58 time: 0.5176 data_time: 0.0513 memory: 13609 grad_norm: 3.7455 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/08/01 22:41:36 - mmengine - INFO - Epoch(train) [70][660/940] lr: 6.0000e-03 eta: 4:12:47 time: 0.5448 data_time: 0.1801 memory: 13609 grad_norm: 3.7635 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3625 loss: 1.3625 2022/08/01 22:41:47 - mmengine - INFO - Epoch(train) [70][680/940] lr: 6.0000e-03 eta: 4:12:37 time: 0.5460 data_time: 0.1930 memory: 13609 grad_norm: 3.7731 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2725 loss: 1.2725 2022/08/01 22:41:56 - mmengine - INFO - Epoch(train) [70][700/940] lr: 6.0000e-03 eta: 4:12:26 time: 0.4826 data_time: 0.1204 memory: 13609 grad_norm: 3.8334 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2683 loss: 1.2683 2022/08/01 22:42:06 - mmengine - INFO - Epoch(train) [70][720/940] lr: 6.0000e-03 eta: 4:12:14 time: 0.4828 data_time: 0.1403 memory: 13609 grad_norm: 3.7418 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3281 loss: 1.3281 2022/08/01 22:42:18 - mmengine - INFO - Epoch(train) [70][740/940] lr: 6.0000e-03 eta: 4:12:04 time: 0.5848 data_time: 0.1969 memory: 13609 grad_norm: 3.7899 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4023 loss: 1.4023 2022/08/01 22:42:27 - mmengine - INFO - Epoch(train) [70][760/940] lr: 6.0000e-03 eta: 4:11:53 time: 0.4914 data_time: 0.1028 memory: 13609 grad_norm: 3.8176 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2891 loss: 1.2891 2022/08/01 22:42:39 - mmengine - INFO - Epoch(train) [70][780/940] lr: 6.0000e-03 eta: 4:11:43 time: 0.5690 data_time: 0.1041 memory: 13609 grad_norm: 3.7611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3623 loss: 1.3623 2022/08/01 22:42:48 - mmengine - INFO - Epoch(train) [70][800/940] lr: 6.0000e-03 eta: 4:11:32 time: 0.4735 data_time: 0.0882 memory: 13609 grad_norm: 3.7238 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2323 loss: 1.2323 2022/08/01 22:43:00 - mmengine - INFO - Epoch(train) [70][820/940] lr: 6.0000e-03 eta: 4:11:22 time: 0.5773 data_time: 0.2195 memory: 13609 grad_norm: 3.7857 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.2508 loss: 1.2508 2022/08/01 22:43:10 - mmengine - INFO - Epoch(train) [70][840/940] lr: 6.0000e-03 eta: 4:11:11 time: 0.5119 data_time: 0.1541 memory: 13609 grad_norm: 3.7669 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2938 loss: 1.2938 2022/08/01 22:43:23 - mmengine - INFO - Epoch(train) [70][860/940] lr: 6.0000e-03 eta: 4:11:01 time: 0.6394 data_time: 0.0896 memory: 13609 grad_norm: 3.7984 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3175 loss: 1.3175 2022/08/01 22:43:31 - mmengine - INFO - Epoch(train) [70][880/940] lr: 6.0000e-03 eta: 4:10:49 time: 0.4253 data_time: 0.0332 memory: 13609 grad_norm: 3.8526 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3176 loss: 1.3176 2022/08/01 22:43:43 - mmengine - INFO - Epoch(train) [70][900/940] lr: 6.0000e-03 eta: 4:10:39 time: 0.5717 data_time: 0.0336 memory: 13609 grad_norm: 3.9096 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3706 loss: 1.3706 2022/08/01 22:43:52 - mmengine - INFO - Epoch(train) [70][920/940] lr: 6.0000e-03 eta: 4:10:28 time: 0.4741 data_time: 0.0653 memory: 13609 grad_norm: 3.8148 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1703 loss: 1.1703 2022/08/01 22:44:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:44:03 - mmengine - INFO - Epoch(train) [70][940/940] lr: 6.0000e-03 eta: 4:10:17 time: 0.5547 data_time: 0.0234 memory: 13609 grad_norm: 4.0916 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3706 loss: 1.3706 2022/08/01 22:45:50 - mmengine - INFO - Epoch(val) [70][20/78] eta: 0:05:10 time: 5.3476 data_time: 4.5877 memory: 19674 2022/08/01 22:47:02 - mmengine - INFO - Epoch(val) [70][40/78] eta: 0:02:16 time: 3.5956 data_time: 2.8430 memory: 19674 2022/08/01 22:48:38 - mmengine - INFO - Epoch(val) [70][60/78] eta: 0:01:26 time: 4.7815 data_time: 4.0215 memory: 19674 2022/08/01 22:49:50 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.6982 acc/top5: 0.8899 acc/mean1: 0.6981 2022/08/01 22:50:06 - mmengine - INFO - Epoch(train) [71][20/940] lr: 6.0000e-03 eta: 4:10:09 time: 0.7881 data_time: 0.2132 memory: 19674 grad_norm: 3.7574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/08/01 22:50:16 - mmengine - INFO - Epoch(train) [71][40/940] lr: 6.0000e-03 eta: 4:09:58 time: 0.4739 data_time: 0.0413 memory: 13609 grad_norm: 3.7831 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.3163 loss: 1.3163 2022/08/01 22:50:27 - mmengine - INFO - Epoch(train) [71][60/940] lr: 6.0000e-03 eta: 4:09:47 time: 0.5466 data_time: 0.0332 memory: 13609 grad_norm: 3.7685 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4001 loss: 1.4001 2022/08/01 22:50:37 - mmengine - INFO - Epoch(train) [71][80/940] lr: 6.0000e-03 eta: 4:09:37 time: 0.5246 data_time: 0.0446 memory: 13609 grad_norm: 3.7412 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4207 loss: 1.4207 2022/08/01 22:50:48 - mmengine - INFO - Epoch(train) [71][100/940] lr: 6.0000e-03 eta: 4:09:26 time: 0.5164 data_time: 0.0377 memory: 13609 grad_norm: 3.6595 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1787 loss: 1.1787 2022/08/01 22:50:57 - mmengine - INFO - Epoch(train) [71][120/940] lr: 6.0000e-03 eta: 4:09:15 time: 0.5018 data_time: 0.0417 memory: 13609 grad_norm: 3.7661 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1833 loss: 1.1833 2022/08/01 22:51:08 - mmengine - INFO - Epoch(train) [71][140/940] lr: 6.0000e-03 eta: 4:09:04 time: 0.5451 data_time: 0.0358 memory: 13609 grad_norm: 3.7909 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3366 loss: 1.3366 2022/08/01 22:51:19 - mmengine - INFO - Epoch(train) [71][160/940] lr: 6.0000e-03 eta: 4:08:54 time: 0.5326 data_time: 0.0522 memory: 13609 grad_norm: 3.7613 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3193 loss: 1.3193 2022/08/01 22:51:29 - mmengine - INFO - Epoch(train) [71][180/940] lr: 6.0000e-03 eta: 4:08:43 time: 0.5042 data_time: 0.0401 memory: 13609 grad_norm: 3.7642 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3802 loss: 1.3802 2022/08/01 22:51:40 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:51:40 - mmengine - INFO - Epoch(train) [71][200/940] lr: 6.0000e-03 eta: 4:08:32 time: 0.5627 data_time: 0.0420 memory: 13609 grad_norm: 3.7397 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1702 loss: 1.1702 2022/08/01 22:51:51 - mmengine - INFO - Epoch(train) [71][220/940] lr: 6.0000e-03 eta: 4:08:22 time: 0.5228 data_time: 0.0396 memory: 13609 grad_norm: 3.7714 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3698 loss: 1.3698 2022/08/01 22:52:01 - mmengine - INFO - Epoch(train) [71][240/940] lr: 6.0000e-03 eta: 4:08:11 time: 0.5154 data_time: 0.0404 memory: 13609 grad_norm: 3.7901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3377 loss: 1.3377 2022/08/01 22:52:12 - mmengine - INFO - Epoch(train) [71][260/940] lr: 6.0000e-03 eta: 4:08:00 time: 0.5564 data_time: 0.0393 memory: 13609 grad_norm: 3.7716 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3734 loss: 1.3734 2022/08/01 22:52:23 - mmengine - INFO - Epoch(train) [71][280/940] lr: 6.0000e-03 eta: 4:07:50 time: 0.5159 data_time: 0.0483 memory: 13609 grad_norm: 3.7755 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3182 loss: 1.3182 2022/08/01 22:52:34 - mmengine - INFO - Epoch(train) [71][300/940] lr: 6.0000e-03 eta: 4:07:39 time: 0.5726 data_time: 0.0348 memory: 13609 grad_norm: 3.7999 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3155 loss: 1.3155 2022/08/01 22:52:44 - mmengine - INFO - Epoch(train) [71][320/940] lr: 6.0000e-03 eta: 4:07:28 time: 0.4811 data_time: 0.0515 memory: 13609 grad_norm: 3.7872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2184 loss: 1.2184 2022/08/01 22:52:55 - mmengine - INFO - Epoch(train) [71][340/940] lr: 6.0000e-03 eta: 4:07:18 time: 0.5823 data_time: 0.0325 memory: 13609 grad_norm: 3.9177 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3408 loss: 1.3408 2022/08/01 22:53:04 - mmengine - INFO - Epoch(train) [71][360/940] lr: 6.0000e-03 eta: 4:07:06 time: 0.4175 data_time: 0.0384 memory: 13609 grad_norm: 3.8425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2934 loss: 1.2934 2022/08/01 22:53:16 - mmengine - INFO - Epoch(train) [71][380/940] lr: 6.0000e-03 eta: 4:06:57 time: 0.6397 data_time: 0.0361 memory: 13609 grad_norm: 3.7747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2141 loss: 1.2141 2022/08/01 22:53:25 - mmengine - INFO - Epoch(train) [71][400/940] lr: 6.0000e-03 eta: 4:06:45 time: 0.4235 data_time: 0.0350 memory: 13609 grad_norm: 3.8270 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3123 loss: 1.3123 2022/08/01 22:53:37 - mmengine - INFO - Epoch(train) [71][420/940] lr: 6.0000e-03 eta: 4:06:35 time: 0.6011 data_time: 0.0363 memory: 13609 grad_norm: 3.7112 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.3123 loss: 1.3123 2022/08/01 22:53:47 - mmengine - INFO - Epoch(train) [71][440/940] lr: 6.0000e-03 eta: 4:06:24 time: 0.5180 data_time: 0.0437 memory: 13609 grad_norm: 3.8022 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2292 loss: 1.2292 2022/08/01 22:53:58 - mmengine - INFO - Epoch(train) [71][460/940] lr: 6.0000e-03 eta: 4:06:13 time: 0.5239 data_time: 0.0335 memory: 13609 grad_norm: 3.8479 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2284 loss: 1.2284 2022/08/01 22:54:08 - mmengine - INFO - Epoch(train) [71][480/940] lr: 6.0000e-03 eta: 4:06:03 time: 0.5082 data_time: 0.0377 memory: 13609 grad_norm: 3.8373 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3330 loss: 1.3330 2022/08/01 22:54:19 - mmengine - INFO - Epoch(train) [71][500/940] lr: 6.0000e-03 eta: 4:05:52 time: 0.5722 data_time: 0.0359 memory: 13609 grad_norm: 3.9553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3912 loss: 1.3912 2022/08/01 22:54:29 - mmengine - INFO - Epoch(train) [71][520/940] lr: 6.0000e-03 eta: 4:05:41 time: 0.4815 data_time: 0.0353 memory: 13609 grad_norm: 3.8725 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2746 loss: 1.2746 2022/08/01 22:54:41 - mmengine - INFO - Epoch(train) [71][540/940] lr: 6.0000e-03 eta: 4:05:31 time: 0.5938 data_time: 0.0429 memory: 13609 grad_norm: 3.8270 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1788 loss: 1.1788 2022/08/01 22:54:50 - mmengine - INFO - Epoch(train) [71][560/940] lr: 6.0000e-03 eta: 4:05:20 time: 0.4754 data_time: 0.0345 memory: 13609 grad_norm: 3.8215 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2042 loss: 1.2042 2022/08/01 22:55:02 - mmengine - INFO - Epoch(train) [71][580/940] lr: 6.0000e-03 eta: 4:05:09 time: 0.5544 data_time: 0.0346 memory: 13609 grad_norm: 3.9158 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3533 loss: 1.3533 2022/08/01 22:55:11 - mmengine - INFO - Epoch(train) [71][600/940] lr: 6.0000e-03 eta: 4:04:58 time: 0.4779 data_time: 0.0316 memory: 13609 grad_norm: 3.8144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2275 loss: 1.2275 2022/08/01 22:55:23 - mmengine - INFO - Epoch(train) [71][620/940] lr: 6.0000e-03 eta: 4:04:48 time: 0.5821 data_time: 0.0305 memory: 13609 grad_norm: 3.8420 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.3939 loss: 1.3939 2022/08/01 22:55:32 - mmengine - INFO - Epoch(train) [71][640/940] lr: 6.0000e-03 eta: 4:04:37 time: 0.4478 data_time: 0.0370 memory: 13609 grad_norm: 3.9013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/08/01 22:55:42 - mmengine - INFO - Epoch(train) [71][660/940] lr: 6.0000e-03 eta: 4:04:26 time: 0.5293 data_time: 0.0291 memory: 13609 grad_norm: 3.8591 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2707 loss: 1.2707 2022/08/01 22:55:53 - mmengine - INFO - Epoch(train) [71][680/940] lr: 6.0000e-03 eta: 4:04:15 time: 0.5228 data_time: 0.0496 memory: 13609 grad_norm: 3.7939 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3330 loss: 1.3330 2022/08/01 22:56:04 - mmengine - INFO - Epoch(train) [71][700/940] lr: 6.0000e-03 eta: 4:04:05 time: 0.5445 data_time: 0.0371 memory: 13609 grad_norm: 3.8411 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4456 loss: 1.4456 2022/08/01 22:56:14 - mmengine - INFO - Epoch(train) [71][720/940] lr: 6.0000e-03 eta: 4:03:54 time: 0.5240 data_time: 0.0364 memory: 13609 grad_norm: 3.7580 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2641 loss: 1.2641 2022/08/01 22:56:24 - mmengine - INFO - Epoch(train) [71][740/940] lr: 6.0000e-03 eta: 4:03:43 time: 0.5048 data_time: 0.0481 memory: 13609 grad_norm: 3.9081 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2310 loss: 1.2310 2022/08/01 22:56:35 - mmengine - INFO - Epoch(train) [71][760/940] lr: 6.0000e-03 eta: 4:03:33 time: 0.5379 data_time: 0.0598 memory: 13609 grad_norm: 3.7832 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3031 loss: 1.3031 2022/08/01 22:56:45 - mmengine - INFO - Epoch(train) [71][780/940] lr: 6.0000e-03 eta: 4:03:22 time: 0.4909 data_time: 0.0332 memory: 13609 grad_norm: 3.8523 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2761 loss: 1.2761 2022/08/01 22:56:56 - mmengine - INFO - Epoch(train) [71][800/940] lr: 6.0000e-03 eta: 4:03:11 time: 0.5481 data_time: 0.0777 memory: 13609 grad_norm: 3.8163 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.3433 loss: 1.3433 2022/08/01 22:57:07 - mmengine - INFO - Epoch(train) [71][820/940] lr: 6.0000e-03 eta: 4:03:00 time: 0.5356 data_time: 0.0329 memory: 13609 grad_norm: 3.8976 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3797 loss: 1.3797 2022/08/01 22:57:17 - mmengine - INFO - Epoch(train) [71][840/940] lr: 6.0000e-03 eta: 4:02:50 time: 0.5131 data_time: 0.0456 memory: 13609 grad_norm: 3.9055 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3970 loss: 1.3970 2022/08/01 22:57:27 - mmengine - INFO - Epoch(train) [71][860/940] lr: 6.0000e-03 eta: 4:02:39 time: 0.5288 data_time: 0.0311 memory: 13609 grad_norm: 3.8404 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4624 loss: 1.4624 2022/08/01 22:57:37 - mmengine - INFO - Epoch(train) [71][880/940] lr: 6.0000e-03 eta: 4:02:28 time: 0.4980 data_time: 0.0547 memory: 13609 grad_norm: 3.8638 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3012 loss: 1.3012 2022/08/01 22:57:48 - mmengine - INFO - Epoch(train) [71][900/940] lr: 6.0000e-03 eta: 4:02:17 time: 0.5262 data_time: 0.0369 memory: 13609 grad_norm: 3.9048 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3527 loss: 1.3527 2022/08/01 22:57:59 - mmengine - INFO - Epoch(train) [71][920/940] lr: 6.0000e-03 eta: 4:02:07 time: 0.5369 data_time: 0.0354 memory: 13609 grad_norm: 3.8625 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2467 loss: 1.2467 2022/08/01 22:58:08 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 22:58:08 - mmengine - INFO - Epoch(train) [71][940/940] lr: 6.0000e-03 eta: 4:01:55 time: 0.4503 data_time: 0.0265 memory: 13609 grad_norm: 3.9988 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3335 loss: 1.3335 2022/08/01 22:59:53 - mmengine - INFO - Epoch(val) [71][20/78] eta: 0:05:06 time: 5.2821 data_time: 4.5067 memory: 19674 2022/08/01 23:01:07 - mmengine - INFO - Epoch(val) [71][40/78] eta: 0:02:19 time: 3.6773 data_time: 2.9081 memory: 19674 2022/08/01 23:02:44 - mmengine - INFO - Epoch(val) [71][60/78] eta: 0:01:27 time: 4.8473 data_time: 4.0966 memory: 19674 2022/08/01 23:03:55 - mmengine - INFO - Epoch(val) [71][78/78] acc/top1: 0.7014 acc/top5: 0.8918 acc/mean1: 0.7013 2022/08/01 23:04:09 - mmengine - INFO - Epoch(train) [72][20/940] lr: 6.0000e-03 eta: 4:01:46 time: 0.7002 data_time: 0.2565 memory: 19674 grad_norm: 3.7338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/08/01 23:04:19 - mmengine - INFO - Epoch(train) [72][40/940] lr: 6.0000e-03 eta: 4:01:35 time: 0.4759 data_time: 0.0318 memory: 13609 grad_norm: 3.7485 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3970 loss: 1.3970 2022/08/01 23:04:30 - mmengine - INFO - Epoch(train) [72][60/940] lr: 6.0000e-03 eta: 4:01:25 time: 0.5874 data_time: 0.2474 memory: 13609 grad_norm: 3.9042 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1926 loss: 1.1926 2022/08/01 23:04:40 - mmengine - INFO - Epoch(train) [72][80/940] lr: 6.0000e-03 eta: 4:01:14 time: 0.4722 data_time: 0.1590 memory: 13609 grad_norm: 3.8003 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3311 loss: 1.3311 2022/08/01 23:04:52 - mmengine - INFO - Epoch(train) [72][100/940] lr: 6.0000e-03 eta: 4:01:04 time: 0.5992 data_time: 0.1798 memory: 13609 grad_norm: 3.9514 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3913 loss: 1.3913 2022/08/01 23:05:01 - mmengine - INFO - Epoch(train) [72][120/940] lr: 6.0000e-03 eta: 4:00:52 time: 0.4820 data_time: 0.0334 memory: 13609 grad_norm: 3.8289 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2698 loss: 1.2698 2022/08/01 23:05:13 - mmengine - INFO - Epoch(train) [72][140/940] lr: 6.0000e-03 eta: 4:00:42 time: 0.5998 data_time: 0.0351 memory: 13609 grad_norm: 3.8151 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2369 loss: 1.2369 2022/08/01 23:05:23 - mmengine - INFO - Epoch(train) [72][160/940] lr: 6.0000e-03 eta: 4:00:31 time: 0.4653 data_time: 0.0362 memory: 13609 grad_norm: 3.8466 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2989 loss: 1.2989 2022/08/01 23:05:34 - mmengine - INFO - Epoch(train) [72][180/940] lr: 6.0000e-03 eta: 4:00:21 time: 0.5478 data_time: 0.0307 memory: 13609 grad_norm: 3.8029 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2559 loss: 1.2559 2022/08/01 23:05:43 - mmengine - INFO - Epoch(train) [72][200/940] lr: 6.0000e-03 eta: 4:00:10 time: 0.4797 data_time: 0.0352 memory: 13609 grad_norm: 3.8724 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1751 loss: 1.1751 2022/08/01 23:05:54 - mmengine - INFO - Epoch(train) [72][220/940] lr: 6.0000e-03 eta: 3:59:59 time: 0.5291 data_time: 0.0312 memory: 13609 grad_norm: 3.8541 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.2645 loss: 1.2645 2022/08/01 23:06:04 - mmengine - INFO - Epoch(train) [72][240/940] lr: 6.0000e-03 eta: 3:59:48 time: 0.4891 data_time: 0.0368 memory: 13609 grad_norm: 3.8557 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3025 loss: 1.3025 2022/08/01 23:06:15 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:06:15 - mmengine - INFO - Epoch(train) [72][260/940] lr: 6.0000e-03 eta: 3:59:37 time: 0.5577 data_time: 0.0372 memory: 13609 grad_norm: 3.8550 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1924 loss: 1.1924 2022/08/01 23:06:24 - mmengine - INFO - Epoch(train) [72][280/940] lr: 6.0000e-03 eta: 3:59:26 time: 0.4746 data_time: 0.0514 memory: 13609 grad_norm: 3.8907 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.3925 loss: 1.3925 2022/08/01 23:06:36 - mmengine - INFO - Epoch(train) [72][300/940] lr: 6.0000e-03 eta: 3:59:16 time: 0.5883 data_time: 0.0602 memory: 13609 grad_norm: 3.9209 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3291 loss: 1.3291 2022/08/01 23:06:46 - mmengine - INFO - Epoch(train) [72][320/940] lr: 6.0000e-03 eta: 3:59:05 time: 0.4773 data_time: 0.0310 memory: 13609 grad_norm: 3.8513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2863 loss: 1.2863 2022/08/01 23:06:58 - mmengine - INFO - Epoch(train) [72][340/940] lr: 6.0000e-03 eta: 3:58:55 time: 0.5984 data_time: 0.0358 memory: 13609 grad_norm: 3.8500 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2335 loss: 1.2335 2022/08/01 23:07:06 - mmengine - INFO - Epoch(train) [72][360/940] lr: 6.0000e-03 eta: 3:58:43 time: 0.4141 data_time: 0.0298 memory: 13609 grad_norm: 3.9486 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3765 loss: 1.3765 2022/08/01 23:07:17 - mmengine - INFO - Epoch(train) [72][380/940] lr: 6.0000e-03 eta: 3:58:33 time: 0.5800 data_time: 0.0650 memory: 13609 grad_norm: 3.8024 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.4200 loss: 1.4200 2022/08/01 23:07:27 - mmengine - INFO - Epoch(train) [72][400/940] lr: 6.0000e-03 eta: 3:58:22 time: 0.4836 data_time: 0.0740 memory: 13609 grad_norm: 3.8394 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2178 loss: 1.2178 2022/08/01 23:07:39 - mmengine - INFO - Epoch(train) [72][420/940] lr: 6.0000e-03 eta: 3:58:12 time: 0.5897 data_time: 0.1584 memory: 13609 grad_norm: 3.8128 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.4536 loss: 1.4536 2022/08/01 23:07:49 - mmengine - INFO - Epoch(train) [72][440/940] lr: 6.0000e-03 eta: 3:58:01 time: 0.5180 data_time: 0.1848 memory: 13609 grad_norm: 3.8446 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3490 loss: 1.3490 2022/08/01 23:08:01 - mmengine - INFO - Epoch(train) [72][460/940] lr: 6.0000e-03 eta: 3:57:51 time: 0.5736 data_time: 0.1589 memory: 13609 grad_norm: 3.9437 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/08/01 23:08:10 - mmengine - INFO - Epoch(train) [72][480/940] lr: 6.0000e-03 eta: 3:57:40 time: 0.4698 data_time: 0.0833 memory: 13609 grad_norm: 3.9005 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3714 loss: 1.3714 2022/08/01 23:08:21 - mmengine - INFO - Epoch(train) [72][500/940] lr: 6.0000e-03 eta: 3:57:29 time: 0.5190 data_time: 0.1568 memory: 13609 grad_norm: 3.8922 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2680 loss: 1.2680 2022/08/01 23:08:32 - mmengine - INFO - Epoch(train) [72][520/940] lr: 6.0000e-03 eta: 3:57:19 time: 0.5798 data_time: 0.1484 memory: 13609 grad_norm: 3.7880 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3273 loss: 1.3273 2022/08/01 23:08:41 - mmengine - INFO - Epoch(train) [72][540/940] lr: 6.0000e-03 eta: 3:57:07 time: 0.4564 data_time: 0.0814 memory: 13609 grad_norm: 3.8315 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4854 loss: 1.4854 2022/08/01 23:08:52 - mmengine - INFO - Epoch(train) [72][560/940] lr: 6.0000e-03 eta: 3:56:57 time: 0.5454 data_time: 0.0887 memory: 13609 grad_norm: 3.8247 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3354 loss: 1.3354 2022/08/01 23:09:04 - mmengine - INFO - Epoch(train) [72][580/940] lr: 6.0000e-03 eta: 3:56:46 time: 0.5691 data_time: 0.0955 memory: 13609 grad_norm: 3.8570 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.2854 loss: 1.2854 2022/08/01 23:09:14 - mmengine - INFO - Epoch(train) [72][600/940] lr: 6.0000e-03 eta: 3:56:35 time: 0.4937 data_time: 0.0585 memory: 13609 grad_norm: 3.9015 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4071 loss: 1.4071 2022/08/01 23:09:25 - mmengine - INFO - Epoch(train) [72][620/940] lr: 6.0000e-03 eta: 3:56:25 time: 0.5683 data_time: 0.0816 memory: 13609 grad_norm: 3.8803 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4212 loss: 1.4212 2022/08/01 23:09:35 - mmengine - INFO - Epoch(train) [72][640/940] lr: 6.0000e-03 eta: 3:56:14 time: 0.4905 data_time: 0.0308 memory: 13609 grad_norm: 3.9035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2468 loss: 1.2468 2022/08/01 23:09:46 - mmengine - INFO - Epoch(train) [72][660/940] lr: 6.0000e-03 eta: 3:56:04 time: 0.5558 data_time: 0.0362 memory: 13609 grad_norm: 3.8904 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4348 loss: 1.4348 2022/08/01 23:09:55 - mmengine - INFO - Epoch(train) [72][680/940] lr: 6.0000e-03 eta: 3:55:52 time: 0.4685 data_time: 0.0319 memory: 13609 grad_norm: 3.8580 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3215 loss: 1.3215 2022/08/01 23:10:07 - mmengine - INFO - Epoch(train) [72][700/940] lr: 6.0000e-03 eta: 3:55:42 time: 0.5717 data_time: 0.0400 memory: 13609 grad_norm: 3.8928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3327 loss: 1.3327 2022/08/01 23:10:16 - mmengine - INFO - Epoch(train) [72][720/940] lr: 6.0000e-03 eta: 3:55:31 time: 0.4646 data_time: 0.0434 memory: 13609 grad_norm: 3.8264 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2249 loss: 1.2249 2022/08/01 23:10:28 - mmengine - INFO - Epoch(train) [72][740/940] lr: 6.0000e-03 eta: 3:55:21 time: 0.6160 data_time: 0.0365 memory: 13609 grad_norm: 3.8592 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1404 loss: 1.1404 2022/08/01 23:10:38 - mmengine - INFO - Epoch(train) [72][760/940] lr: 6.0000e-03 eta: 3:55:10 time: 0.4688 data_time: 0.0334 memory: 13609 grad_norm: 3.8798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2765 loss: 1.2765 2022/08/01 23:10:48 - mmengine - INFO - Epoch(train) [72][780/940] lr: 6.0000e-03 eta: 3:54:59 time: 0.5375 data_time: 0.0363 memory: 13609 grad_norm: 3.8909 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3076 loss: 1.3076 2022/08/01 23:10:58 - mmengine - INFO - Epoch(train) [72][800/940] lr: 6.0000e-03 eta: 3:54:48 time: 0.4949 data_time: 0.0356 memory: 13609 grad_norm: 3.9978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2489 loss: 1.2489 2022/08/01 23:11:09 - mmengine - INFO - Epoch(train) [72][820/940] lr: 6.0000e-03 eta: 3:54:38 time: 0.5524 data_time: 0.0320 memory: 13609 grad_norm: 3.9443 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3013 loss: 1.3013 2022/08/01 23:11:19 - mmengine - INFO - Epoch(train) [72][840/940] lr: 6.0000e-03 eta: 3:54:27 time: 0.5012 data_time: 0.0450 memory: 13609 grad_norm: 3.9181 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.4503 loss: 1.4503 2022/08/01 23:11:31 - mmengine - INFO - Epoch(train) [72][860/940] lr: 6.0000e-03 eta: 3:54:17 time: 0.5994 data_time: 0.0334 memory: 13609 grad_norm: 3.9653 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4638 loss: 1.4638 2022/08/01 23:11:41 - mmengine - INFO - Epoch(train) [72][880/940] lr: 6.0000e-03 eta: 3:54:06 time: 0.4919 data_time: 0.0335 memory: 13609 grad_norm: 3.8159 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3080 loss: 1.3080 2022/08/01 23:11:52 - mmengine - INFO - Epoch(train) [72][900/940] lr: 6.0000e-03 eta: 3:53:55 time: 0.5319 data_time: 0.0387 memory: 13609 grad_norm: 3.8713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2917 loss: 1.2917 2022/08/01 23:12:01 - mmengine - INFO - Epoch(train) [72][920/940] lr: 6.0000e-03 eta: 3:53:44 time: 0.4494 data_time: 0.0307 memory: 13609 grad_norm: 3.8589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2636 loss: 1.2636 2022/08/01 23:12:10 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:12:10 - mmengine - INFO - Epoch(train) [72][940/940] lr: 6.0000e-03 eta: 3:53:33 time: 0.4655 data_time: 0.0369 memory: 13609 grad_norm: 4.1838 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3254 loss: 1.3254 2022/08/01 23:12:10 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/01 23:13:58 - mmengine - INFO - Epoch(val) [72][20/78] eta: 0:05:07 time: 5.2948 data_time: 4.5322 memory: 19674 2022/08/01 23:15:11 - mmengine - INFO - Epoch(val) [72][40/78] eta: 0:02:17 time: 3.6241 data_time: 2.8896 memory: 19674 2022/08/01 23:16:47 - mmengine - INFO - Epoch(val) [72][60/78] eta: 0:01:26 time: 4.7856 data_time: 4.0376 memory: 19674 2022/08/01 23:17:58 - mmengine - INFO - Epoch(val) [72][78/78] acc/top1: 0.7002 acc/top5: 0.8927 acc/mean1: 0.7000 2022/08/01 23:18:13 - mmengine - INFO - Epoch(train) [73][20/940] lr: 6.0000e-03 eta: 3:53:24 time: 0.7270 data_time: 0.2499 memory: 19674 grad_norm: 3.8017 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2667 loss: 1.2667 2022/08/01 23:18:22 - mmengine - INFO - Epoch(train) [73][40/940] lr: 6.0000e-03 eta: 3:53:12 time: 0.4773 data_time: 0.0495 memory: 13609 grad_norm: 3.7837 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3057 loss: 1.3057 2022/08/01 23:18:34 - mmengine - INFO - Epoch(train) [73][60/940] lr: 6.0000e-03 eta: 3:53:02 time: 0.5875 data_time: 0.0323 memory: 13609 grad_norm: 3.7990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/08/01 23:18:43 - mmengine - INFO - Epoch(train) [73][80/940] lr: 6.0000e-03 eta: 3:52:51 time: 0.4719 data_time: 0.0379 memory: 13609 grad_norm: 3.8980 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2488 loss: 1.2488 2022/08/01 23:18:55 - mmengine - INFO - Epoch(train) [73][100/940] lr: 6.0000e-03 eta: 3:52:41 time: 0.5629 data_time: 0.0391 memory: 13609 grad_norm: 3.8634 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1559 loss: 1.1559 2022/08/01 23:19:05 - mmengine - INFO - Epoch(train) [73][120/940] lr: 6.0000e-03 eta: 3:52:30 time: 0.5043 data_time: 0.0376 memory: 13609 grad_norm: 3.8318 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3028 loss: 1.3028 2022/08/01 23:19:17 - mmengine - INFO - Epoch(train) [73][140/940] lr: 6.0000e-03 eta: 3:52:20 time: 0.6001 data_time: 0.0344 memory: 13609 grad_norm: 3.9358 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2740 loss: 1.2740 2022/08/01 23:19:26 - mmengine - INFO - Epoch(train) [73][160/940] lr: 6.0000e-03 eta: 3:52:09 time: 0.4643 data_time: 0.0495 memory: 13609 grad_norm: 3.8673 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3194 loss: 1.3194 2022/08/01 23:19:37 - mmengine - INFO - Epoch(train) [73][180/940] lr: 6.0000e-03 eta: 3:51:58 time: 0.5432 data_time: 0.0349 memory: 13609 grad_norm: 3.9090 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2925 loss: 1.2925 2022/08/01 23:19:48 - mmengine - INFO - Epoch(train) [73][200/940] lr: 6.0000e-03 eta: 3:51:47 time: 0.5549 data_time: 0.0402 memory: 13609 grad_norm: 3.8830 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2324 loss: 1.2324 2022/08/01 23:19:57 - mmengine - INFO - Epoch(train) [73][220/940] lr: 6.0000e-03 eta: 3:51:36 time: 0.4654 data_time: 0.0333 memory: 13609 grad_norm: 3.8369 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2646 loss: 1.2646 2022/08/01 23:20:09 - mmengine - INFO - Epoch(train) [73][240/940] lr: 6.0000e-03 eta: 3:51:26 time: 0.5607 data_time: 0.0425 memory: 13609 grad_norm: 3.8111 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3305 loss: 1.3305 2022/08/01 23:20:19 - mmengine - INFO - Epoch(train) [73][260/940] lr: 6.0000e-03 eta: 3:51:15 time: 0.5287 data_time: 0.0333 memory: 13609 grad_norm: 3.8892 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2425 loss: 1.2425 2022/08/01 23:20:29 - mmengine - INFO - Epoch(train) [73][280/940] lr: 6.0000e-03 eta: 3:51:04 time: 0.4959 data_time: 0.0400 memory: 13609 grad_norm: 3.8930 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3976 loss: 1.3976 2022/08/01 23:20:40 - mmengine - INFO - Epoch(train) [73][300/940] lr: 6.0000e-03 eta: 3:50:54 time: 0.5430 data_time: 0.0319 memory: 13609 grad_norm: 3.8835 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.2547 loss: 1.2547 2022/08/01 23:20:51 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:20:51 - mmengine - INFO - Epoch(train) [73][320/940] lr: 6.0000e-03 eta: 3:50:43 time: 0.5272 data_time: 0.0357 memory: 13609 grad_norm: 3.9217 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2608 loss: 1.2608 2022/08/01 23:21:02 - mmengine - INFO - Epoch(train) [73][340/940] lr: 6.0000e-03 eta: 3:50:33 time: 0.5668 data_time: 0.0410 memory: 13609 grad_norm: 3.8727 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/08/01 23:21:13 - mmengine - INFO - Epoch(train) [73][360/940] lr: 6.0000e-03 eta: 3:50:22 time: 0.5436 data_time: 0.0382 memory: 13609 grad_norm: 3.8346 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1828 loss: 1.1828 2022/08/01 23:21:22 - mmengine - INFO - Epoch(train) [73][380/940] lr: 6.0000e-03 eta: 3:50:11 time: 0.4753 data_time: 0.0351 memory: 13609 grad_norm: 3.8535 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2370 loss: 1.2370 2022/08/01 23:21:33 - mmengine - INFO - Epoch(train) [73][400/940] lr: 6.0000e-03 eta: 3:50:00 time: 0.5165 data_time: 0.0488 memory: 13609 grad_norm: 3.9166 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.2186 loss: 1.2186 2022/08/01 23:21:44 - mmengine - INFO - Epoch(train) [73][420/940] lr: 6.0000e-03 eta: 3:49:50 time: 0.5736 data_time: 0.0320 memory: 13609 grad_norm: 3.9607 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3025 loss: 1.3025 2022/08/01 23:21:54 - mmengine - INFO - Epoch(train) [73][440/940] lr: 6.0000e-03 eta: 3:49:39 time: 0.4969 data_time: 0.0362 memory: 13609 grad_norm: 3.9483 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2827 loss: 1.2827 2022/08/01 23:22:05 - mmengine - INFO - Epoch(train) [73][460/940] lr: 6.0000e-03 eta: 3:49:28 time: 0.5506 data_time: 0.0317 memory: 13609 grad_norm: 3.8539 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3014 loss: 1.3014 2022/08/01 23:22:15 - mmengine - INFO - Epoch(train) [73][480/940] lr: 6.0000e-03 eta: 3:49:18 time: 0.5155 data_time: 0.0525 memory: 13609 grad_norm: 3.9280 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2076 loss: 1.2076 2022/08/01 23:22:26 - mmengine - INFO - Epoch(train) [73][500/940] lr: 6.0000e-03 eta: 3:49:07 time: 0.5447 data_time: 0.0376 memory: 13609 grad_norm: 3.8496 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2880 loss: 1.2880 2022/08/01 23:22:37 - mmengine - INFO - Epoch(train) [73][520/940] lr: 6.0000e-03 eta: 3:48:56 time: 0.5328 data_time: 0.0407 memory: 13609 grad_norm: 3.8420 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2438 loss: 1.2438 2022/08/01 23:22:47 - mmengine - INFO - Epoch(train) [73][540/940] lr: 6.0000e-03 eta: 3:48:46 time: 0.5100 data_time: 0.0587 memory: 13609 grad_norm: 3.8609 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3204 loss: 1.3204 2022/08/01 23:22:58 - mmengine - INFO - Epoch(train) [73][560/940] lr: 6.0000e-03 eta: 3:48:35 time: 0.5197 data_time: 0.0628 memory: 13609 grad_norm: 3.9684 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2312 loss: 1.2312 2022/08/01 23:23:09 - mmengine - INFO - Epoch(train) [73][580/940] lr: 6.0000e-03 eta: 3:48:24 time: 0.5506 data_time: 0.0292 memory: 13609 grad_norm: 3.8048 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2334 loss: 1.2334 2022/08/01 23:23:19 - mmengine - INFO - Epoch(train) [73][600/940] lr: 6.0000e-03 eta: 3:48:13 time: 0.4948 data_time: 0.1227 memory: 13609 grad_norm: 3.9359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2079 loss: 1.2079 2022/08/01 23:23:30 - mmengine - INFO - Epoch(train) [73][620/940] lr: 6.0000e-03 eta: 3:48:03 time: 0.5519 data_time: 0.0258 memory: 13609 grad_norm: 3.9283 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3371 loss: 1.3371 2022/08/01 23:23:40 - mmengine - INFO - Epoch(train) [73][640/940] lr: 6.0000e-03 eta: 3:47:52 time: 0.5358 data_time: 0.0333 memory: 13609 grad_norm: 3.9305 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4146 loss: 1.4146 2022/08/01 23:23:51 - mmengine - INFO - Epoch(train) [73][660/940] lr: 6.0000e-03 eta: 3:47:42 time: 0.5427 data_time: 0.0345 memory: 13609 grad_norm: 3.8990 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2865 loss: 1.2865 2022/08/01 23:24:02 - mmengine - INFO - Epoch(train) [73][680/940] lr: 6.0000e-03 eta: 3:47:31 time: 0.5264 data_time: 0.0363 memory: 13609 grad_norm: 3.9042 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1978 loss: 1.1978 2022/08/01 23:24:12 - mmengine - INFO - Epoch(train) [73][700/940] lr: 6.0000e-03 eta: 3:47:20 time: 0.5079 data_time: 0.0349 memory: 13609 grad_norm: 3.9351 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2746 loss: 1.2746 2022/08/01 23:24:21 - mmengine - INFO - Epoch(train) [73][720/940] lr: 6.0000e-03 eta: 3:47:09 time: 0.4703 data_time: 0.0386 memory: 13609 grad_norm: 3.9350 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1723 loss: 1.1723 2022/08/01 23:24:32 - mmengine - INFO - Epoch(train) [73][740/940] lr: 6.0000e-03 eta: 3:46:58 time: 0.5185 data_time: 0.0306 memory: 13609 grad_norm: 3.8491 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3025 loss: 1.3025 2022/08/01 23:24:42 - mmengine - INFO - Epoch(train) [73][760/940] lr: 6.0000e-03 eta: 3:46:48 time: 0.5281 data_time: 0.0362 memory: 13609 grad_norm: 3.9263 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2511 loss: 1.2511 2022/08/01 23:24:54 - mmengine - INFO - Epoch(train) [73][780/940] lr: 6.0000e-03 eta: 3:46:38 time: 0.6067 data_time: 0.0407 memory: 13609 grad_norm: 3.9098 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3298 loss: 1.3298 2022/08/01 23:25:03 - mmengine - INFO - Epoch(train) [73][800/940] lr: 6.0000e-03 eta: 3:46:26 time: 0.4535 data_time: 0.0446 memory: 13609 grad_norm: 3.8671 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2070 loss: 1.2070 2022/08/01 23:25:14 - mmengine - INFO - Epoch(train) [73][820/940] lr: 6.0000e-03 eta: 3:46:16 time: 0.5274 data_time: 0.0309 memory: 13609 grad_norm: 3.8882 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.4043 loss: 1.4043 2022/08/01 23:25:25 - mmengine - INFO - Epoch(train) [73][840/940] lr: 6.0000e-03 eta: 3:46:05 time: 0.5352 data_time: 0.0520 memory: 13609 grad_norm: 3.9633 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/08/01 23:25:37 - mmengine - INFO - Epoch(train) [73][860/940] lr: 6.0000e-03 eta: 3:45:55 time: 0.6174 data_time: 0.0338 memory: 13609 grad_norm: 4.0611 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3711 loss: 1.3711 2022/08/01 23:25:46 - mmengine - INFO - Epoch(train) [73][880/940] lr: 6.0000e-03 eta: 3:45:44 time: 0.4696 data_time: 0.0421 memory: 13609 grad_norm: 4.0003 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2130 loss: 1.2130 2022/08/01 23:25:58 - mmengine - INFO - Epoch(train) [73][900/940] lr: 6.0000e-03 eta: 3:45:34 time: 0.5768 data_time: 0.0375 memory: 13609 grad_norm: 3.9476 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3942 loss: 1.3942 2022/08/01 23:26:07 - mmengine - INFO - Epoch(train) [73][920/940] lr: 6.0000e-03 eta: 3:45:22 time: 0.4541 data_time: 0.0387 memory: 13609 grad_norm: 3.9896 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2118 loss: 1.2118 2022/08/01 23:26:16 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:26:16 - mmengine - INFO - Epoch(train) [73][940/940] lr: 6.0000e-03 eta: 3:45:11 time: 0.4399 data_time: 0.0246 memory: 13609 grad_norm: 4.1874 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.2974 loss: 1.2974 2022/08/01 23:28:02 - mmengine - INFO - Epoch(val) [73][20/78] eta: 0:05:07 time: 5.3030 data_time: 4.5177 memory: 19674 2022/08/01 23:29:14 - mmengine - INFO - Epoch(val) [73][40/78] eta: 0:02:16 time: 3.5996 data_time: 2.8411 memory: 19674 2022/08/01 23:30:51 - mmengine - INFO - Epoch(val) [73][60/78] eta: 0:01:27 time: 4.8387 data_time: 4.0769 memory: 19674 2022/08/01 23:32:04 - mmengine - INFO - Epoch(val) [73][78/78] acc/top1: 0.6961 acc/top5: 0.8882 acc/mean1: 0.6960 2022/08/01 23:32:19 - mmengine - INFO - Epoch(train) [74][20/940] lr: 6.0000e-03 eta: 3:45:02 time: 0.7157 data_time: 0.2245 memory: 19674 grad_norm: 3.7939 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3013 loss: 1.3013 2022/08/01 23:32:30 - mmengine - INFO - Epoch(train) [74][40/940] lr: 6.0000e-03 eta: 3:44:51 time: 0.5572 data_time: 0.0343 memory: 13609 grad_norm: 3.9181 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2758 loss: 1.2758 2022/08/01 23:32:40 - mmengine - INFO - Epoch(train) [74][60/940] lr: 6.0000e-03 eta: 3:44:40 time: 0.5102 data_time: 0.0395 memory: 13609 grad_norm: 3.8482 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2405 loss: 1.2405 2022/08/01 23:32:50 - mmengine - INFO - Epoch(train) [74][80/940] lr: 6.0000e-03 eta: 3:44:30 time: 0.5189 data_time: 0.0353 memory: 13609 grad_norm: 3.8359 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2201 loss: 1.2201 2022/08/01 23:33:01 - mmengine - INFO - Epoch(train) [74][100/940] lr: 6.0000e-03 eta: 3:44:19 time: 0.5481 data_time: 0.0329 memory: 13609 grad_norm: 3.9021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/08/01 23:33:11 - mmengine - INFO - Epoch(train) [74][120/940] lr: 6.0000e-03 eta: 3:44:08 time: 0.4786 data_time: 0.0397 memory: 13609 grad_norm: 3.9614 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3590 loss: 1.3590 2022/08/01 23:33:23 - mmengine - INFO - Epoch(train) [74][140/940] lr: 6.0000e-03 eta: 3:43:58 time: 0.5874 data_time: 0.0374 memory: 13609 grad_norm: 3.8557 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3171 loss: 1.3171 2022/08/01 23:33:31 - mmengine - INFO - Epoch(train) [74][160/940] lr: 6.0000e-03 eta: 3:43:47 time: 0.4386 data_time: 0.0351 memory: 13609 grad_norm: 3.9171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/08/01 23:33:43 - mmengine - INFO - Epoch(train) [74][180/940] lr: 6.0000e-03 eta: 3:43:36 time: 0.5639 data_time: 0.1168 memory: 13609 grad_norm: 3.9772 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3092 loss: 1.3092 2022/08/01 23:33:52 - mmengine - INFO - Epoch(train) [74][200/940] lr: 6.0000e-03 eta: 3:43:25 time: 0.4711 data_time: 0.1170 memory: 13609 grad_norm: 3.9696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3018 loss: 1.3018 2022/08/01 23:34:03 - mmengine - INFO - Epoch(train) [74][220/940] lr: 6.0000e-03 eta: 3:43:15 time: 0.5570 data_time: 0.2428 memory: 13609 grad_norm: 3.9608 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3161 loss: 1.3161 2022/08/01 23:34:14 - mmengine - INFO - Epoch(train) [74][240/940] lr: 6.0000e-03 eta: 3:43:04 time: 0.5317 data_time: 0.0826 memory: 13609 grad_norm: 3.8818 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.1683 loss: 1.1683 2022/08/01 23:34:24 - mmengine - INFO - Epoch(train) [74][260/940] lr: 6.0000e-03 eta: 3:42:53 time: 0.5028 data_time: 0.0553 memory: 13609 grad_norm: 3.9348 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3987 loss: 1.3987 2022/08/01 23:34:35 - mmengine - INFO - Epoch(train) [74][280/940] lr: 6.0000e-03 eta: 3:42:42 time: 0.5240 data_time: 0.1184 memory: 13609 grad_norm: 3.9321 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3414 loss: 1.3414 2022/08/01 23:34:45 - mmengine - INFO - Epoch(train) [74][300/940] lr: 6.0000e-03 eta: 3:42:32 time: 0.5253 data_time: 0.0967 memory: 13609 grad_norm: 3.8581 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.2986 loss: 1.2986 2022/08/01 23:34:57 - mmengine - INFO - Epoch(train) [74][320/940] lr: 6.0000e-03 eta: 3:42:21 time: 0.5738 data_time: 0.0499 memory: 13609 grad_norm: 3.9350 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2421 loss: 1.2421 2022/08/01 23:35:06 - mmengine - INFO - Epoch(train) [74][340/940] lr: 6.0000e-03 eta: 3:42:10 time: 0.4744 data_time: 0.0357 memory: 13609 grad_norm: 3.9021 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/08/01 23:35:17 - mmengine - INFO - Epoch(train) [74][360/940] lr: 6.0000e-03 eta: 3:42:00 time: 0.5349 data_time: 0.1038 memory: 13609 grad_norm: 3.8674 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.2830 loss: 1.2830 2022/08/01 23:35:27 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:35:27 - mmengine - INFO - Epoch(train) [74][380/940] lr: 6.0000e-03 eta: 3:41:49 time: 0.5290 data_time: 0.1151 memory: 13609 grad_norm: 3.9188 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2909 loss: 1.2909 2022/08/01 23:35:38 - mmengine - INFO - Epoch(train) [74][400/940] lr: 6.0000e-03 eta: 3:41:38 time: 0.5308 data_time: 0.1364 memory: 13609 grad_norm: 3.8798 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2417 loss: 1.2417 2022/08/01 23:35:49 - mmengine - INFO - Epoch(train) [74][420/940] lr: 6.0000e-03 eta: 3:41:28 time: 0.5400 data_time: 0.1889 memory: 13609 grad_norm: 3.8911 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3149 loss: 1.3149 2022/08/01 23:35:59 - mmengine - INFO - Epoch(train) [74][440/940] lr: 6.0000e-03 eta: 3:41:17 time: 0.5148 data_time: 0.0772 memory: 13609 grad_norm: 4.0167 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2524 loss: 1.2524 2022/08/01 23:36:09 - mmengine - INFO - Epoch(train) [74][460/940] lr: 6.0000e-03 eta: 3:41:06 time: 0.5124 data_time: 0.0485 memory: 13609 grad_norm: 3.8652 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1805 loss: 1.1805 2022/08/01 23:36:20 - mmengine - INFO - Epoch(train) [74][480/940] lr: 6.0000e-03 eta: 3:40:55 time: 0.5350 data_time: 0.0394 memory: 13609 grad_norm: 3.9734 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3058 loss: 1.3058 2022/08/01 23:36:30 - mmengine - INFO - Epoch(train) [74][500/940] lr: 6.0000e-03 eta: 3:40:45 time: 0.5051 data_time: 0.0518 memory: 13609 grad_norm: 4.0320 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/08/01 23:36:41 - mmengine - INFO - Epoch(train) [74][520/940] lr: 6.0000e-03 eta: 3:40:34 time: 0.5498 data_time: 0.0372 memory: 13609 grad_norm: 4.0152 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2436 loss: 1.2436 2022/08/01 23:36:51 - mmengine - INFO - Epoch(train) [74][540/940] lr: 6.0000e-03 eta: 3:40:23 time: 0.4840 data_time: 0.0374 memory: 13609 grad_norm: 3.8706 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3421 loss: 1.3421 2022/08/01 23:37:03 - mmengine - INFO - Epoch(train) [74][560/940] lr: 6.0000e-03 eta: 3:40:13 time: 0.6138 data_time: 0.0252 memory: 13609 grad_norm: 3.9771 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1505 loss: 1.1505 2022/08/01 23:37:12 - mmengine - INFO - Epoch(train) [74][580/940] lr: 6.0000e-03 eta: 3:40:02 time: 0.4531 data_time: 0.0355 memory: 13609 grad_norm: 3.9995 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2763 loss: 1.2763 2022/08/01 23:37:24 - mmengine - INFO - Epoch(train) [74][600/940] lr: 6.0000e-03 eta: 3:39:51 time: 0.5673 data_time: 0.0316 memory: 13609 grad_norm: 3.9516 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2153 loss: 1.2153 2022/08/01 23:37:33 - mmengine - INFO - Epoch(train) [74][620/940] lr: 6.0000e-03 eta: 3:39:40 time: 0.4692 data_time: 0.0392 memory: 13609 grad_norm: 3.9225 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3719 loss: 1.3719 2022/08/01 23:37:44 - mmengine - INFO - Epoch(train) [74][640/940] lr: 6.0000e-03 eta: 3:39:30 time: 0.5492 data_time: 0.0437 memory: 13609 grad_norm: 3.9188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2887 loss: 1.2887 2022/08/01 23:37:55 - mmengine - INFO - Epoch(train) [74][660/940] lr: 6.0000e-03 eta: 3:39:19 time: 0.5321 data_time: 0.0396 memory: 13609 grad_norm: 3.9254 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1290 loss: 1.1290 2022/08/01 23:38:05 - mmengine - INFO - Epoch(train) [74][680/940] lr: 6.0000e-03 eta: 3:39:09 time: 0.5427 data_time: 0.0342 memory: 13609 grad_norm: 3.9126 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3398 loss: 1.3398 2022/08/01 23:38:15 - mmengine - INFO - Epoch(train) [74][700/940] lr: 6.0000e-03 eta: 3:38:58 time: 0.4853 data_time: 0.0374 memory: 13609 grad_norm: 3.9621 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2234 loss: 1.2234 2022/08/01 23:38:26 - mmengine - INFO - Epoch(train) [74][720/940] lr: 6.0000e-03 eta: 3:38:47 time: 0.5207 data_time: 0.0347 memory: 13609 grad_norm: 3.9837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1947 loss: 1.1947 2022/08/01 23:38:37 - mmengine - INFO - Epoch(train) [74][740/940] lr: 6.0000e-03 eta: 3:38:36 time: 0.5588 data_time: 0.0455 memory: 13609 grad_norm: 3.9906 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3316 loss: 1.3316 2022/08/01 23:38:46 - mmengine - INFO - Epoch(train) [74][760/940] lr: 6.0000e-03 eta: 3:38:25 time: 0.4580 data_time: 0.0340 memory: 13609 grad_norm: 4.0478 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4055 loss: 1.4055 2022/08/01 23:38:58 - mmengine - INFO - Epoch(train) [74][780/940] lr: 6.0000e-03 eta: 3:38:15 time: 0.5903 data_time: 0.0321 memory: 13609 grad_norm: 3.9541 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1709 loss: 1.1709 2022/08/01 23:39:08 - mmengine - INFO - Epoch(train) [74][800/940] lr: 6.0000e-03 eta: 3:38:04 time: 0.5079 data_time: 0.0440 memory: 13609 grad_norm: 3.9179 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3288 loss: 1.3288 2022/08/01 23:39:19 - mmengine - INFO - Epoch(train) [74][820/940] lr: 6.0000e-03 eta: 3:37:54 time: 0.5344 data_time: 0.0351 memory: 13609 grad_norm: 3.9494 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1740 loss: 1.1740 2022/08/01 23:39:28 - mmengine - INFO - Epoch(train) [74][840/940] lr: 6.0000e-03 eta: 3:37:43 time: 0.4898 data_time: 0.0341 memory: 13609 grad_norm: 4.0232 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1925 loss: 1.1925 2022/08/01 23:39:40 - mmengine - INFO - Epoch(train) [74][860/940] lr: 6.0000e-03 eta: 3:37:32 time: 0.5921 data_time: 0.0281 memory: 13609 grad_norm: 4.0540 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2791 loss: 1.2791 2022/08/01 23:39:50 - mmengine - INFO - Epoch(train) [74][880/940] lr: 6.0000e-03 eta: 3:37:21 time: 0.4776 data_time: 0.0360 memory: 13609 grad_norm: 3.9747 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2424 loss: 1.2424 2022/08/01 23:40:00 - mmengine - INFO - Epoch(train) [74][900/940] lr: 6.0000e-03 eta: 3:37:11 time: 0.5274 data_time: 0.0309 memory: 13609 grad_norm: 4.0200 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.2617 loss: 1.2617 2022/08/01 23:40:11 - mmengine - INFO - Epoch(train) [74][920/940] lr: 6.0000e-03 eta: 3:37:00 time: 0.5188 data_time: 0.0374 memory: 13609 grad_norm: 3.9805 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/08/01 23:40:19 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:40:19 - mmengine - INFO - Epoch(train) [74][940/940] lr: 6.0000e-03 eta: 3:36:49 time: 0.4260 data_time: 0.0306 memory: 13609 grad_norm: 4.1620 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.3658 loss: 1.3658 2022/08/01 23:42:05 - mmengine - INFO - Epoch(val) [74][20/78] eta: 0:05:05 time: 5.2719 data_time: 4.4832 memory: 19674 2022/08/01 23:43:17 - mmengine - INFO - Epoch(val) [74][40/78] eta: 0:02:16 time: 3.6046 data_time: 2.8316 memory: 19674 2022/08/01 23:44:53 - mmengine - INFO - Epoch(val) [74][60/78] eta: 0:01:26 time: 4.8057 data_time: 4.0596 memory: 19674 2022/08/01 23:46:06 - mmengine - INFO - Epoch(val) [74][78/78] acc/top1: 0.6972 acc/top5: 0.8879 acc/mean1: 0.6970 2022/08/01 23:46:21 - mmengine - INFO - Epoch(train) [75][20/940] lr: 6.0000e-03 eta: 3:36:39 time: 0.7199 data_time: 0.2003 memory: 19674 grad_norm: 3.8869 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3596 loss: 1.3596 2022/08/01 23:46:31 - mmengine - INFO - Epoch(train) [75][40/940] lr: 6.0000e-03 eta: 3:36:29 time: 0.5353 data_time: 0.0318 memory: 13609 grad_norm: 4.0031 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1670 loss: 1.1670 2022/08/01 23:46:41 - mmengine - INFO - Epoch(train) [75][60/940] lr: 6.0000e-03 eta: 3:36:18 time: 0.5050 data_time: 0.0401 memory: 13609 grad_norm: 3.8932 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1779 loss: 1.1779 2022/08/01 23:46:51 - mmengine - INFO - Epoch(train) [75][80/940] lr: 6.0000e-03 eta: 3:36:07 time: 0.4854 data_time: 0.0358 memory: 13609 grad_norm: 3.9694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1220 loss: 1.1220 2022/08/01 23:47:03 - mmengine - INFO - Epoch(train) [75][100/940] lr: 6.0000e-03 eta: 3:35:57 time: 0.6039 data_time: 0.0359 memory: 13609 grad_norm: 4.0242 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/08/01 23:47:13 - mmengine - INFO - Epoch(train) [75][120/940] lr: 6.0000e-03 eta: 3:35:46 time: 0.4849 data_time: 0.0341 memory: 13609 grad_norm: 3.9732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2979 loss: 1.2979 2022/08/01 23:47:23 - mmengine - INFO - Epoch(train) [75][140/940] lr: 6.0000e-03 eta: 3:35:35 time: 0.5203 data_time: 0.0302 memory: 13609 grad_norm: 3.9236 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2803 loss: 1.2803 2022/08/01 23:47:33 - mmengine - INFO - Epoch(train) [75][160/940] lr: 6.0000e-03 eta: 3:35:24 time: 0.4831 data_time: 0.0363 memory: 13609 grad_norm: 3.8649 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2042 loss: 1.2042 2022/08/01 23:47:45 - mmengine - INFO - Epoch(train) [75][180/940] lr: 6.0000e-03 eta: 3:35:14 time: 0.5916 data_time: 0.0334 memory: 13609 grad_norm: 4.0815 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.3846 loss: 1.3846 2022/08/01 23:47:54 - mmengine - INFO - Epoch(train) [75][200/940] lr: 6.0000e-03 eta: 3:35:03 time: 0.4790 data_time: 0.0370 memory: 13609 grad_norm: 4.0246 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2790 loss: 1.2790 2022/08/01 23:48:05 - mmengine - INFO - Epoch(train) [75][220/940] lr: 6.0000e-03 eta: 3:34:52 time: 0.5270 data_time: 0.0357 memory: 13609 grad_norm: 4.0118 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3298 loss: 1.3298 2022/08/01 23:48:15 - mmengine - INFO - Epoch(train) [75][240/940] lr: 6.0000e-03 eta: 3:34:41 time: 0.5008 data_time: 0.0373 memory: 13609 grad_norm: 3.9557 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/08/01 23:48:26 - mmengine - INFO - Epoch(train) [75][260/940] lr: 6.0000e-03 eta: 3:34:31 time: 0.5664 data_time: 0.0358 memory: 13609 grad_norm: 4.0811 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3124 loss: 1.3124 2022/08/01 23:48:36 - mmengine - INFO - Epoch(train) [75][280/940] lr: 6.0000e-03 eta: 3:34:20 time: 0.5031 data_time: 0.0440 memory: 13609 grad_norm: 3.9264 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2637 loss: 1.2637 2022/08/01 23:48:47 - mmengine - INFO - Epoch(train) [75][300/940] lr: 6.0000e-03 eta: 3:34:09 time: 0.5066 data_time: 0.0355 memory: 13609 grad_norm: 3.9754 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3019 loss: 1.3019 2022/08/01 23:48:58 - mmengine - INFO - Epoch(train) [75][320/940] lr: 6.0000e-03 eta: 3:33:59 time: 0.5737 data_time: 0.0299 memory: 13609 grad_norm: 4.0469 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2430 loss: 1.2430 2022/08/01 23:49:08 - mmengine - INFO - Epoch(train) [75][340/940] lr: 6.0000e-03 eta: 3:33:48 time: 0.4906 data_time: 0.0420 memory: 13609 grad_norm: 3.9940 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3155 loss: 1.3155 2022/08/01 23:49:20 - mmengine - INFO - Epoch(train) [75][360/940] lr: 6.0000e-03 eta: 3:33:37 time: 0.5870 data_time: 0.0349 memory: 13609 grad_norm: 3.9240 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2807 loss: 1.2807 2022/08/01 23:49:31 - mmengine - INFO - Epoch(train) [75][380/940] lr: 6.0000e-03 eta: 3:33:27 time: 0.5621 data_time: 0.0459 memory: 13609 grad_norm: 3.9977 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.2473 loss: 1.2473 2022/08/01 23:49:40 - mmengine - INFO - Epoch(train) [75][400/940] lr: 6.0000e-03 eta: 3:33:16 time: 0.4610 data_time: 0.0343 memory: 13609 grad_norm: 3.9906 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3261 loss: 1.3261 2022/08/01 23:49:52 - mmengine - INFO - Epoch(train) [75][420/940] lr: 6.0000e-03 eta: 3:33:06 time: 0.6031 data_time: 0.0468 memory: 13609 grad_norm: 4.1244 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.4203 loss: 1.4203 2022/08/01 23:50:02 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:50:02 - mmengine - INFO - Epoch(train) [75][440/940] lr: 6.0000e-03 eta: 3:32:55 time: 0.4931 data_time: 0.0371 memory: 13609 grad_norm: 4.0411 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2409 loss: 1.2409 2022/08/01 23:50:12 - mmengine - INFO - Epoch(train) [75][460/940] lr: 6.0000e-03 eta: 3:32:44 time: 0.5233 data_time: 0.0338 memory: 13609 grad_norm: 3.9088 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2790 loss: 1.2790 2022/08/01 23:50:22 - mmengine - INFO - Epoch(train) [75][480/940] lr: 6.0000e-03 eta: 3:32:33 time: 0.4592 data_time: 0.0556 memory: 13609 grad_norm: 3.9290 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2671 loss: 1.2671 2022/08/01 23:50:33 - mmengine - INFO - Epoch(train) [75][500/940] lr: 6.0000e-03 eta: 3:32:22 time: 0.5518 data_time: 0.0941 memory: 13609 grad_norm: 3.9235 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2118 loss: 1.2118 2022/08/01 23:50:43 - mmengine - INFO - Epoch(train) [75][520/940] lr: 6.0000e-03 eta: 3:32:12 time: 0.5077 data_time: 0.0722 memory: 13609 grad_norm: 3.8384 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2703 loss: 1.2703 2022/08/01 23:50:54 - mmengine - INFO - Epoch(train) [75][540/940] lr: 6.0000e-03 eta: 3:32:01 time: 0.5501 data_time: 0.1036 memory: 13609 grad_norm: 3.9862 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2244 loss: 1.2244 2022/08/01 23:51:06 - mmengine - INFO - Epoch(train) [75][560/940] lr: 6.0000e-03 eta: 3:31:51 time: 0.5901 data_time: 0.0296 memory: 13609 grad_norm: 3.9124 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2964 loss: 1.2964 2022/08/01 23:51:16 - mmengine - INFO - Epoch(train) [75][580/940] lr: 6.0000e-03 eta: 3:31:40 time: 0.5292 data_time: 0.1365 memory: 13609 grad_norm: 4.0149 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2405 loss: 1.2405 2022/08/01 23:51:27 - mmengine - INFO - Epoch(train) [75][600/940] lr: 6.0000e-03 eta: 3:31:29 time: 0.5187 data_time: 0.1631 memory: 13609 grad_norm: 4.0631 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2975 loss: 1.2975 2022/08/01 23:51:38 - mmengine - INFO - Epoch(train) [75][620/940] lr: 6.0000e-03 eta: 3:31:19 time: 0.5673 data_time: 0.2634 memory: 13609 grad_norm: 4.0988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2273 loss: 1.2273 2022/08/01 23:51:48 - mmengine - INFO - Epoch(train) [75][640/940] lr: 6.0000e-03 eta: 3:31:08 time: 0.4861 data_time: 0.1728 memory: 13609 grad_norm: 4.0016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3538 loss: 1.3538 2022/08/01 23:52:01 - mmengine - INFO - Epoch(train) [75][660/940] lr: 6.0000e-03 eta: 3:30:58 time: 0.6479 data_time: 0.2973 memory: 13609 grad_norm: 4.0274 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3451 loss: 1.3451 2022/08/01 23:52:09 - mmengine - INFO - Epoch(train) [75][680/940] lr: 6.0000e-03 eta: 3:30:47 time: 0.4061 data_time: 0.1084 memory: 13609 grad_norm: 3.9942 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2705 loss: 1.2705 2022/08/01 23:52:22 - mmengine - INFO - Epoch(train) [75][700/940] lr: 6.0000e-03 eta: 3:30:37 time: 0.6368 data_time: 0.2920 memory: 13609 grad_norm: 4.0232 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2571 loss: 1.2571 2022/08/01 23:52:30 - mmengine - INFO - Epoch(train) [75][720/940] lr: 6.0000e-03 eta: 3:30:25 time: 0.4275 data_time: 0.1154 memory: 13609 grad_norm: 3.9744 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3021 loss: 1.3021 2022/08/01 23:52:41 - mmengine - INFO - Epoch(train) [75][740/940] lr: 6.0000e-03 eta: 3:30:15 time: 0.5526 data_time: 0.2024 memory: 13609 grad_norm: 4.1118 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3433 loss: 1.3433 2022/08/01 23:52:51 - mmengine - INFO - Epoch(train) [75][760/940] lr: 6.0000e-03 eta: 3:30:04 time: 0.5068 data_time: 0.1946 memory: 13609 grad_norm: 4.0738 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3445 loss: 1.3445 2022/08/01 23:53:03 - mmengine - INFO - Epoch(train) [75][780/940] lr: 6.0000e-03 eta: 3:29:54 time: 0.5878 data_time: 0.2381 memory: 13609 grad_norm: 4.0144 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.2617 loss: 1.2617 2022/08/01 23:53:13 - mmengine - INFO - Epoch(train) [75][800/940] lr: 6.0000e-03 eta: 3:29:43 time: 0.4711 data_time: 0.1619 memory: 13609 grad_norm: 3.9766 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2837 loss: 1.2837 2022/08/01 23:53:24 - mmengine - INFO - Epoch(train) [75][820/940] lr: 6.0000e-03 eta: 3:29:32 time: 0.5590 data_time: 0.2528 memory: 13609 grad_norm: 4.0293 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2465 loss: 1.2465 2022/08/01 23:53:33 - mmengine - INFO - Epoch(train) [75][840/940] lr: 6.0000e-03 eta: 3:29:21 time: 0.4633 data_time: 0.1564 memory: 13609 grad_norm: 4.0307 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3403 loss: 1.3403 2022/08/01 23:53:44 - mmengine - INFO - Epoch(train) [75][860/940] lr: 6.0000e-03 eta: 3:29:11 time: 0.5599 data_time: 0.1778 memory: 13609 grad_norm: 4.1885 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3229 loss: 1.3229 2022/08/01 23:53:54 - mmengine - INFO - Epoch(train) [75][880/940] lr: 6.0000e-03 eta: 3:29:00 time: 0.5081 data_time: 0.0956 memory: 13609 grad_norm: 4.0633 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.3587 loss: 1.3587 2022/08/01 23:54:04 - mmengine - INFO - Epoch(train) [75][900/940] lr: 6.0000e-03 eta: 3:28:49 time: 0.4840 data_time: 0.0769 memory: 13609 grad_norm: 4.0085 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2553 loss: 1.2553 2022/08/01 23:54:16 - mmengine - INFO - Epoch(train) [75][920/940] lr: 6.0000e-03 eta: 3:28:39 time: 0.5819 data_time: 0.0469 memory: 13609 grad_norm: 4.0486 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3621 loss: 1.3621 2022/08/01 23:54:24 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/01 23:54:24 - mmengine - INFO - Epoch(train) [75][940/940] lr: 6.0000e-03 eta: 3:28:27 time: 0.4250 data_time: 0.0299 memory: 13609 grad_norm: 4.2894 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.2728 loss: 1.2728 2022/08/01 23:54:24 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/01 23:56:12 - mmengine - INFO - Epoch(val) [75][20/78] eta: 0:05:08 time: 5.3169 data_time: 4.5561 memory: 19674 2022/08/01 23:57:25 - mmengine - INFO - Epoch(val) [75][40/78] eta: 0:02:18 time: 3.6575 data_time: 2.8931 memory: 19674 2022/08/01 23:59:01 - mmengine - INFO - Epoch(val) [75][60/78] eta: 0:01:25 time: 4.7672 data_time: 4.0208 memory: 19674 2022/08/02 00:00:12 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.6993 acc/top5: 0.8901 acc/mean1: 0.6991 2022/08/02 00:00:26 - mmengine - INFO - Epoch(train) [76][20/940] lr: 6.0000e-03 eta: 3:28:18 time: 0.6905 data_time: 0.3052 memory: 19674 grad_norm: 3.9592 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3061 loss: 1.3061 2022/08/02 00:00:36 - mmengine - INFO - Epoch(train) [76][40/940] lr: 6.0000e-03 eta: 3:28:07 time: 0.5201 data_time: 0.0941 memory: 13609 grad_norm: 4.0479 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3124 loss: 1.3124 2022/08/02 00:00:48 - mmengine - INFO - Epoch(train) [76][60/940] lr: 6.0000e-03 eta: 3:27:57 time: 0.5815 data_time: 0.0369 memory: 13609 grad_norm: 3.9342 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2837 loss: 1.2837 2022/08/02 00:00:57 - mmengine - INFO - Epoch(train) [76][80/940] lr: 6.0000e-03 eta: 3:27:46 time: 0.4669 data_time: 0.0355 memory: 13609 grad_norm: 4.0978 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3841 loss: 1.3841 2022/08/02 00:01:09 - mmengine - INFO - Epoch(train) [76][100/940] lr: 6.0000e-03 eta: 3:27:35 time: 0.6026 data_time: 0.1619 memory: 13609 grad_norm: 4.0339 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2545 loss: 1.2545 2022/08/02 00:01:18 - mmengine - INFO - Epoch(train) [76][120/940] lr: 6.0000e-03 eta: 3:27:24 time: 0.4631 data_time: 0.0728 memory: 13609 grad_norm: 3.9178 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/08/02 00:01:30 - mmengine - INFO - Epoch(train) [76][140/940] lr: 6.0000e-03 eta: 3:27:14 time: 0.6005 data_time: 0.2862 memory: 13609 grad_norm: 4.0093 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/08/02 00:01:39 - mmengine - INFO - Epoch(train) [76][160/940] lr: 6.0000e-03 eta: 3:27:03 time: 0.4500 data_time: 0.1400 memory: 13609 grad_norm: 4.0100 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3106 loss: 1.3106 2022/08/02 00:01:52 - mmengine - INFO - Epoch(train) [76][180/940] lr: 6.0000e-03 eta: 3:26:53 time: 0.6500 data_time: 0.3034 memory: 13609 grad_norm: 4.0690 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/08/02 00:02:01 - mmengine - INFO - Epoch(train) [76][200/940] lr: 6.0000e-03 eta: 3:26:42 time: 0.4380 data_time: 0.1129 memory: 13609 grad_norm: 3.9878 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3658 loss: 1.3658 2022/08/02 00:02:12 - mmengine - INFO - Epoch(train) [76][220/940] lr: 6.0000e-03 eta: 3:26:31 time: 0.5603 data_time: 0.2406 memory: 13609 grad_norm: 4.0896 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3069 loss: 1.3069 2022/08/02 00:02:22 - mmengine - INFO - Epoch(train) [76][240/940] lr: 6.0000e-03 eta: 3:26:20 time: 0.4768 data_time: 0.1093 memory: 13609 grad_norm: 4.0263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/08/02 00:02:33 - mmengine - INFO - Epoch(train) [76][260/940] lr: 6.0000e-03 eta: 3:26:10 time: 0.5762 data_time: 0.0973 memory: 13609 grad_norm: 4.0049 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2292 loss: 1.2292 2022/08/02 00:02:43 - mmengine - INFO - Epoch(train) [76][280/940] lr: 6.0000e-03 eta: 3:25:59 time: 0.5032 data_time: 0.0340 memory: 13609 grad_norm: 4.0919 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.3793 loss: 1.3793 2022/08/02 00:02:55 - mmengine - INFO - Epoch(train) [76][300/940] lr: 6.0000e-03 eta: 3:25:49 time: 0.5587 data_time: 0.0407 memory: 13609 grad_norm: 4.0188 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3434 loss: 1.3434 2022/08/02 00:03:04 - mmengine - INFO - Epoch(train) [76][320/940] lr: 6.0000e-03 eta: 3:25:38 time: 0.4886 data_time: 0.0387 memory: 13609 grad_norm: 4.0806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1589 loss: 1.1589 2022/08/02 00:03:15 - mmengine - INFO - Epoch(train) [76][340/940] lr: 6.0000e-03 eta: 3:25:27 time: 0.5269 data_time: 0.0324 memory: 13609 grad_norm: 4.0274 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3770 loss: 1.3770 2022/08/02 00:03:25 - mmengine - INFO - Epoch(train) [76][360/940] lr: 6.0000e-03 eta: 3:25:16 time: 0.5210 data_time: 0.0446 memory: 13609 grad_norm: 4.0667 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2465 loss: 1.2465 2022/08/02 00:03:37 - mmengine - INFO - Epoch(train) [76][380/940] lr: 6.0000e-03 eta: 3:25:06 time: 0.5565 data_time: 0.0495 memory: 13609 grad_norm: 4.0687 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3618 loss: 1.3618 2022/08/02 00:03:46 - mmengine - INFO - Epoch(train) [76][400/940] lr: 6.0000e-03 eta: 3:24:55 time: 0.4719 data_time: 0.0435 memory: 13609 grad_norm: 4.0453 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2699 loss: 1.2699 2022/08/02 00:03:57 - mmengine - INFO - Epoch(train) [76][420/940] lr: 6.0000e-03 eta: 3:24:44 time: 0.5298 data_time: 0.0534 memory: 13609 grad_norm: 4.0037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1972 loss: 1.1972 2022/08/02 00:04:07 - mmengine - INFO - Epoch(train) [76][440/940] lr: 6.0000e-03 eta: 3:24:33 time: 0.5193 data_time: 0.0771 memory: 13609 grad_norm: 3.9641 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1998 loss: 1.1998 2022/08/02 00:04:18 - mmengine - INFO - Epoch(train) [76][460/940] lr: 6.0000e-03 eta: 3:24:23 time: 0.5438 data_time: 0.0852 memory: 13609 grad_norm: 4.0471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3193 loss: 1.3193 2022/08/02 00:04:28 - mmengine - INFO - Epoch(train) [76][480/940] lr: 6.0000e-03 eta: 3:24:12 time: 0.5302 data_time: 0.0588 memory: 13609 grad_norm: 4.0086 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2131 loss: 1.2131 2022/08/02 00:04:38 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:04:38 - mmengine - INFO - Epoch(train) [76][500/940] lr: 6.0000e-03 eta: 3:24:01 time: 0.4809 data_time: 0.0401 memory: 13609 grad_norm: 4.0506 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3570 loss: 1.3570 2022/08/02 00:04:49 - mmengine - INFO - Epoch(train) [76][520/940] lr: 6.0000e-03 eta: 3:23:51 time: 0.5600 data_time: 0.0377 memory: 13609 grad_norm: 4.0078 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/08/02 00:05:00 - mmengine - INFO - Epoch(train) [76][540/940] lr: 6.0000e-03 eta: 3:23:40 time: 0.5326 data_time: 0.0322 memory: 13609 grad_norm: 4.0740 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2736 loss: 1.2736 2022/08/02 00:05:10 - mmengine - INFO - Epoch(train) [76][560/940] lr: 6.0000e-03 eta: 3:23:29 time: 0.4978 data_time: 0.0346 memory: 13609 grad_norm: 3.9823 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3286 loss: 1.3286 2022/08/02 00:05:22 - mmengine - INFO - Epoch(train) [76][580/940] lr: 6.0000e-03 eta: 3:23:19 time: 0.6037 data_time: 0.0376 memory: 13609 grad_norm: 4.0681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3647 loss: 1.3647 2022/08/02 00:05:31 - mmengine - INFO - Epoch(train) [76][600/940] lr: 6.0000e-03 eta: 3:23:08 time: 0.4574 data_time: 0.0574 memory: 13609 grad_norm: 4.0525 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3442 loss: 1.3442 2022/08/02 00:05:42 - mmengine - INFO - Epoch(train) [76][620/940] lr: 6.0000e-03 eta: 3:22:57 time: 0.5297 data_time: 0.1158 memory: 13609 grad_norm: 4.0060 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.2491 loss: 1.2491 2022/08/02 00:05:52 - mmengine - INFO - Epoch(train) [76][640/940] lr: 6.0000e-03 eta: 3:22:46 time: 0.5045 data_time: 0.0444 memory: 13609 grad_norm: 4.1554 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2386 loss: 1.2386 2022/08/02 00:06:03 - mmengine - INFO - Epoch(train) [76][660/940] lr: 6.0000e-03 eta: 3:22:36 time: 0.5717 data_time: 0.0361 memory: 13609 grad_norm: 4.0688 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2156 loss: 1.2156 2022/08/02 00:06:14 - mmengine - INFO - Epoch(train) [76][680/940] lr: 6.0000e-03 eta: 3:22:25 time: 0.5219 data_time: 0.0448 memory: 13609 grad_norm: 4.1113 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2780 loss: 1.2780 2022/08/02 00:06:24 - mmengine - INFO - Epoch(train) [76][700/940] lr: 6.0000e-03 eta: 3:22:14 time: 0.5007 data_time: 0.0336 memory: 13609 grad_norm: 4.1575 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2676 loss: 1.2676 2022/08/02 00:06:34 - mmengine - INFO - Epoch(train) [76][720/940] lr: 6.0000e-03 eta: 3:22:04 time: 0.5129 data_time: 0.0411 memory: 13609 grad_norm: 4.0520 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3098 loss: 1.3098 2022/08/02 00:06:45 - mmengine - INFO - Epoch(train) [76][740/940] lr: 6.0000e-03 eta: 3:21:53 time: 0.5420 data_time: 0.0369 memory: 13609 grad_norm: 4.1028 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1199 loss: 1.1199 2022/08/02 00:06:55 - mmengine - INFO - Epoch(train) [76][760/940] lr: 6.0000e-03 eta: 3:21:42 time: 0.5069 data_time: 0.0462 memory: 13609 grad_norm: 4.0991 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3571 loss: 1.3571 2022/08/02 00:07:06 - mmengine - INFO - Epoch(train) [76][780/940] lr: 6.0000e-03 eta: 3:21:32 time: 0.5688 data_time: 0.0600 memory: 13609 grad_norm: 4.1014 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/08/02 00:07:17 - mmengine - INFO - Epoch(train) [76][800/940] lr: 6.0000e-03 eta: 3:21:21 time: 0.5082 data_time: 0.0428 memory: 13609 grad_norm: 4.1515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3185 loss: 1.3185 2022/08/02 00:07:27 - mmengine - INFO - Epoch(train) [76][820/940] lr: 6.0000e-03 eta: 3:21:10 time: 0.5276 data_time: 0.0492 memory: 13609 grad_norm: 4.1317 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3741 loss: 1.3741 2022/08/02 00:07:37 - mmengine - INFO - Epoch(train) [76][840/940] lr: 6.0000e-03 eta: 3:21:00 time: 0.5119 data_time: 0.0560 memory: 13609 grad_norm: 4.1022 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2522 loss: 1.2522 2022/08/02 00:07:48 - mmengine - INFO - Epoch(train) [76][860/940] lr: 6.0000e-03 eta: 3:20:49 time: 0.5080 data_time: 0.0351 memory: 13609 grad_norm: 4.0455 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2027 loss: 1.2027 2022/08/02 00:07:59 - mmengine - INFO - Epoch(train) [76][880/940] lr: 6.0000e-03 eta: 3:20:38 time: 0.5767 data_time: 0.0330 memory: 13609 grad_norm: 4.1125 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3390 loss: 1.3390 2022/08/02 00:08:09 - mmengine - INFO - Epoch(train) [76][900/940] lr: 6.0000e-03 eta: 3:20:28 time: 0.4950 data_time: 0.0363 memory: 13609 grad_norm: 4.1470 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3586 loss: 1.3586 2022/08/02 00:08:20 - mmengine - INFO - Epoch(train) [76][920/940] lr: 6.0000e-03 eta: 3:20:17 time: 0.5699 data_time: 0.0298 memory: 13609 grad_norm: 4.0371 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1971 loss: 1.1971 2022/08/02 00:08:29 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:08:29 - mmengine - INFO - Epoch(train) [76][940/940] lr: 6.0000e-03 eta: 3:20:06 time: 0.4132 data_time: 0.0268 memory: 13609 grad_norm: 4.2476 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3097 loss: 1.3097 2022/08/02 00:10:15 - mmengine - INFO - Epoch(val) [76][20/78] eta: 0:05:07 time: 5.3047 data_time: 4.5256 memory: 19674 2022/08/02 00:11:28 - mmengine - INFO - Epoch(val) [76][40/78] eta: 0:02:18 time: 3.6452 data_time: 2.8773 memory: 19674 2022/08/02 00:13:04 - mmengine - INFO - Epoch(val) [76][60/78] eta: 0:01:26 time: 4.8194 data_time: 4.0798 memory: 19674 2022/08/02 00:14:18 - mmengine - INFO - Epoch(val) [76][78/78] acc/top1: 0.6989 acc/top5: 0.8902 acc/mean1: 0.6988 2022/08/02 00:14:32 - mmengine - INFO - Epoch(train) [77][20/940] lr: 6.0000e-03 eta: 3:19:56 time: 0.6992 data_time: 0.3435 memory: 19674 grad_norm: 4.0258 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4080 loss: 1.4080 2022/08/02 00:14:42 - mmengine - INFO - Epoch(train) [77][40/940] lr: 6.0000e-03 eta: 3:19:45 time: 0.5051 data_time: 0.0606 memory: 13609 grad_norm: 3.9615 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2337 loss: 1.2337 2022/08/02 00:14:53 - mmengine - INFO - Epoch(train) [77][60/940] lr: 6.0000e-03 eta: 3:19:35 time: 0.5765 data_time: 0.0788 memory: 13609 grad_norm: 4.0426 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2758 loss: 1.2758 2022/08/02 00:15:03 - mmengine - INFO - Epoch(train) [77][80/940] lr: 6.0000e-03 eta: 3:19:24 time: 0.4604 data_time: 0.0504 memory: 13609 grad_norm: 4.0161 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2009 loss: 1.2009 2022/08/02 00:15:14 - mmengine - INFO - Epoch(train) [77][100/940] lr: 6.0000e-03 eta: 3:19:14 time: 0.5749 data_time: 0.0810 memory: 13609 grad_norm: 3.9920 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2106 loss: 1.2106 2022/08/02 00:15:24 - mmengine - INFO - Epoch(train) [77][120/940] lr: 6.0000e-03 eta: 3:19:03 time: 0.5137 data_time: 0.0836 memory: 13609 grad_norm: 3.9689 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2464 loss: 1.2464 2022/08/02 00:15:36 - mmengine - INFO - Epoch(train) [77][140/940] lr: 6.0000e-03 eta: 3:18:52 time: 0.5631 data_time: 0.0433 memory: 13609 grad_norm: 4.1200 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3369 loss: 1.3369 2022/08/02 00:15:45 - mmengine - INFO - Epoch(train) [77][160/940] lr: 6.0000e-03 eta: 3:18:41 time: 0.4779 data_time: 0.0356 memory: 13609 grad_norm: 4.0128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/08/02 00:15:57 - mmengine - INFO - Epoch(train) [77][180/940] lr: 6.0000e-03 eta: 3:18:31 time: 0.5749 data_time: 0.0355 memory: 13609 grad_norm: 4.1268 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3132 loss: 1.3132 2022/08/02 00:16:06 - mmengine - INFO - Epoch(train) [77][200/940] lr: 6.0000e-03 eta: 3:18:20 time: 0.4721 data_time: 0.0428 memory: 13609 grad_norm: 4.0087 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2007 loss: 1.2007 2022/08/02 00:16:17 - mmengine - INFO - Epoch(train) [77][220/940] lr: 6.0000e-03 eta: 3:18:09 time: 0.5524 data_time: 0.0313 memory: 13609 grad_norm: 4.0650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/08/02 00:16:27 - mmengine - INFO - Epoch(train) [77][240/940] lr: 6.0000e-03 eta: 3:17:59 time: 0.5101 data_time: 0.0386 memory: 13609 grad_norm: 4.0869 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2213 loss: 1.2213 2022/08/02 00:16:39 - mmengine - INFO - Epoch(train) [77][260/940] lr: 6.0000e-03 eta: 3:17:48 time: 0.5706 data_time: 0.0377 memory: 13609 grad_norm: 4.0258 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3226 loss: 1.3226 2022/08/02 00:16:48 - mmengine - INFO - Epoch(train) [77][280/940] lr: 6.0000e-03 eta: 3:17:37 time: 0.4713 data_time: 0.0414 memory: 13609 grad_norm: 4.0584 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2905 loss: 1.2905 2022/08/02 00:16:59 - mmengine - INFO - Epoch(train) [77][300/940] lr: 6.0000e-03 eta: 3:17:27 time: 0.5587 data_time: 0.0472 memory: 13609 grad_norm: 4.0727 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2869 loss: 1.2869 2022/08/02 00:17:09 - mmengine - INFO - Epoch(train) [77][320/940] lr: 6.0000e-03 eta: 3:17:16 time: 0.4748 data_time: 0.0417 memory: 13609 grad_norm: 4.0694 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3200 loss: 1.3200 2022/08/02 00:17:20 - mmengine - INFO - Epoch(train) [77][340/940] lr: 6.0000e-03 eta: 3:17:05 time: 0.5513 data_time: 0.1337 memory: 13609 grad_norm: 4.0019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/08/02 00:17:30 - mmengine - INFO - Epoch(train) [77][360/940] lr: 6.0000e-03 eta: 3:16:54 time: 0.4963 data_time: 0.1137 memory: 13609 grad_norm: 4.0467 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2572 loss: 1.2572 2022/08/02 00:17:42 - mmengine - INFO - Epoch(train) [77][380/940] lr: 6.0000e-03 eta: 3:16:44 time: 0.5779 data_time: 0.1760 memory: 13609 grad_norm: 4.1010 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3677 loss: 1.3677 2022/08/02 00:17:52 - mmengine - INFO - Epoch(train) [77][400/940] lr: 6.0000e-03 eta: 3:16:33 time: 0.5065 data_time: 0.0417 memory: 13609 grad_norm: 4.0088 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.2892 loss: 1.2892 2022/08/02 00:18:03 - mmengine - INFO - Epoch(train) [77][420/940] lr: 6.0000e-03 eta: 3:16:23 time: 0.5930 data_time: 0.0323 memory: 13609 grad_norm: 4.0810 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2238 loss: 1.2238 2022/08/02 00:18:13 - mmengine - INFO - Epoch(train) [77][440/940] lr: 6.0000e-03 eta: 3:16:12 time: 0.4781 data_time: 0.0304 memory: 13609 grad_norm: 4.0856 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2505 loss: 1.2505 2022/08/02 00:18:24 - mmengine - INFO - Epoch(train) [77][460/940] lr: 6.0000e-03 eta: 3:16:01 time: 0.5552 data_time: 0.0386 memory: 13609 grad_norm: 4.0683 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3321 loss: 1.3321 2022/08/02 00:18:33 - mmengine - INFO - Epoch(train) [77][480/940] lr: 6.0000e-03 eta: 3:15:50 time: 0.4588 data_time: 0.0368 memory: 13609 grad_norm: 4.0939 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2937 loss: 1.2937 2022/08/02 00:18:45 - mmengine - INFO - Epoch(train) [77][500/940] lr: 6.0000e-03 eta: 3:15:40 time: 0.5734 data_time: 0.0350 memory: 13609 grad_norm: 4.0894 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2886 loss: 1.2886 2022/08/02 00:18:55 - mmengine - INFO - Epoch(train) [77][520/940] lr: 6.0000e-03 eta: 3:15:29 time: 0.4886 data_time: 0.0387 memory: 13609 grad_norm: 4.0525 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3346 loss: 1.3346 2022/08/02 00:19:07 - mmengine - INFO - Epoch(train) [77][540/940] lr: 6.0000e-03 eta: 3:15:19 time: 0.6108 data_time: 0.0386 memory: 13609 grad_norm: 4.0957 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2385 loss: 1.2385 2022/08/02 00:19:17 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:19:17 - mmengine - INFO - Epoch(train) [77][560/940] lr: 6.0000e-03 eta: 3:15:08 time: 0.4914 data_time: 0.0335 memory: 13609 grad_norm: 4.1425 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2259 loss: 1.2259 2022/08/02 00:19:27 - mmengine - INFO - Epoch(train) [77][580/940] lr: 6.0000e-03 eta: 3:14:57 time: 0.5391 data_time: 0.0304 memory: 13609 grad_norm: 4.0502 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2972 loss: 1.2972 2022/08/02 00:19:37 - mmengine - INFO - Epoch(train) [77][600/940] lr: 6.0000e-03 eta: 3:14:46 time: 0.4763 data_time: 0.0574 memory: 13609 grad_norm: 4.1276 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4726 loss: 1.4726 2022/08/02 00:19:48 - mmengine - INFO - Epoch(train) [77][620/940] lr: 6.0000e-03 eta: 3:14:36 time: 0.5449 data_time: 0.0289 memory: 13609 grad_norm: 4.0898 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2596 loss: 1.2596 2022/08/02 00:19:58 - mmengine - INFO - Epoch(train) [77][640/940] lr: 6.0000e-03 eta: 3:14:25 time: 0.5244 data_time: 0.0382 memory: 13609 grad_norm: 4.1146 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3145 loss: 1.3145 2022/08/02 00:20:09 - mmengine - INFO - Epoch(train) [77][660/940] lr: 6.0000e-03 eta: 3:14:14 time: 0.5271 data_time: 0.0637 memory: 13609 grad_norm: 4.0455 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2943 loss: 1.2943 2022/08/02 00:20:20 - mmengine - INFO - Epoch(train) [77][680/940] lr: 6.0000e-03 eta: 3:14:04 time: 0.5334 data_time: 0.0766 memory: 13609 grad_norm: 4.0463 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2551 loss: 1.2551 2022/08/02 00:20:30 - mmengine - INFO - Epoch(train) [77][700/940] lr: 6.0000e-03 eta: 3:13:53 time: 0.5069 data_time: 0.0629 memory: 13609 grad_norm: 4.1686 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2967 loss: 1.2967 2022/08/02 00:20:42 - mmengine - INFO - Epoch(train) [77][720/940] lr: 6.0000e-03 eta: 3:13:43 time: 0.6159 data_time: 0.1040 memory: 13609 grad_norm: 4.1265 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2179 loss: 1.2179 2022/08/02 00:20:52 - mmengine - INFO - Epoch(train) [77][740/940] lr: 6.0000e-03 eta: 3:13:32 time: 0.4885 data_time: 0.0293 memory: 13609 grad_norm: 4.0872 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2787 loss: 1.2787 2022/08/02 00:21:03 - mmengine - INFO - Epoch(train) [77][760/940] lr: 6.0000e-03 eta: 3:13:22 time: 0.5582 data_time: 0.0372 memory: 13609 grad_norm: 4.0077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/08/02 00:21:13 - mmengine - INFO - Epoch(train) [77][780/940] lr: 6.0000e-03 eta: 3:13:11 time: 0.4836 data_time: 0.0455 memory: 13609 grad_norm: 4.1326 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3459 loss: 1.3459 2022/08/02 00:21:24 - mmengine - INFO - Epoch(train) [77][800/940] lr: 6.0000e-03 eta: 3:13:00 time: 0.5827 data_time: 0.0323 memory: 13609 grad_norm: 4.1433 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1748 loss: 1.1748 2022/08/02 00:21:34 - mmengine - INFO - Epoch(train) [77][820/940] lr: 6.0000e-03 eta: 3:12:49 time: 0.5030 data_time: 0.0441 memory: 13609 grad_norm: 4.0611 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/08/02 00:21:45 - mmengine - INFO - Epoch(train) [77][840/940] lr: 6.0000e-03 eta: 3:12:39 time: 0.5380 data_time: 0.0353 memory: 13609 grad_norm: 4.1125 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3672 loss: 1.3672 2022/08/02 00:21:55 - mmengine - INFO - Epoch(train) [77][860/940] lr: 6.0000e-03 eta: 3:12:28 time: 0.4899 data_time: 0.0479 memory: 13609 grad_norm: 4.1181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2870 loss: 1.2870 2022/08/02 00:22:05 - mmengine - INFO - Epoch(train) [77][880/940] lr: 6.0000e-03 eta: 3:12:17 time: 0.5069 data_time: 0.0323 memory: 13609 grad_norm: 4.2095 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2938 loss: 1.2938 2022/08/02 00:22:16 - mmengine - INFO - Epoch(train) [77][900/940] lr: 6.0000e-03 eta: 3:12:07 time: 0.5373 data_time: 0.0359 memory: 13609 grad_norm: 4.0759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3050 loss: 1.3050 2022/08/02 00:22:27 - mmengine - INFO - Epoch(train) [77][920/940] lr: 6.0000e-03 eta: 3:11:56 time: 0.5721 data_time: 0.0328 memory: 13609 grad_norm: 4.0257 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2107 loss: 1.2107 2022/08/02 00:22:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:22:35 - mmengine - INFO - Epoch(train) [77][940/940] lr: 6.0000e-03 eta: 3:11:45 time: 0.3729 data_time: 0.0310 memory: 13609 grad_norm: 4.4342 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 1.4324 loss: 1.4324 2022/08/02 00:24:20 - mmengine - INFO - Epoch(val) [77][20/78] eta: 0:05:04 time: 5.2493 data_time: 4.4722 memory: 19674 2022/08/02 00:25:32 - mmengine - INFO - Epoch(val) [77][40/78] eta: 0:02:17 time: 3.6261 data_time: 2.8636 memory: 19674 2022/08/02 00:27:09 - mmengine - INFO - Epoch(val) [77][60/78] eta: 0:01:26 time: 4.8270 data_time: 4.0751 memory: 19674 2022/08/02 00:28:22 - mmengine - INFO - Epoch(val) [77][78/78] acc/top1: 0.6997 acc/top5: 0.8899 acc/mean1: 0.6996 2022/08/02 00:28:37 - mmengine - INFO - Epoch(train) [78][20/940] lr: 6.0000e-03 eta: 3:11:35 time: 0.7105 data_time: 0.2873 memory: 19674 grad_norm: 3.9698 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3139 loss: 1.3139 2022/08/02 00:28:46 - mmengine - INFO - Epoch(train) [78][40/940] lr: 6.0000e-03 eta: 3:11:24 time: 0.4771 data_time: 0.1120 memory: 13609 grad_norm: 4.0571 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/08/02 00:28:59 - mmengine - INFO - Epoch(train) [78][60/940] lr: 6.0000e-03 eta: 3:11:14 time: 0.6254 data_time: 0.1567 memory: 13609 grad_norm: 4.1538 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2491 loss: 1.2491 2022/08/02 00:29:08 - mmengine - INFO - Epoch(train) [78][80/940] lr: 6.0000e-03 eta: 3:11:03 time: 0.4720 data_time: 0.0302 memory: 13609 grad_norm: 4.0512 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/08/02 00:29:20 - mmengine - INFO - Epoch(train) [78][100/940] lr: 6.0000e-03 eta: 3:10:53 time: 0.5952 data_time: 0.0741 memory: 13609 grad_norm: 4.0650 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3578 loss: 1.3578 2022/08/02 00:29:31 - mmengine - INFO - Epoch(train) [78][120/940] lr: 6.0000e-03 eta: 3:10:42 time: 0.5367 data_time: 0.0420 memory: 13609 grad_norm: 4.0809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3267 loss: 1.3267 2022/08/02 00:29:41 - mmengine - INFO - Epoch(train) [78][140/940] lr: 6.0000e-03 eta: 3:10:31 time: 0.5047 data_time: 0.0357 memory: 13609 grad_norm: 4.1223 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/08/02 00:29:51 - mmengine - INFO - Epoch(train) [78][160/940] lr: 6.0000e-03 eta: 3:10:20 time: 0.4864 data_time: 0.0784 memory: 13609 grad_norm: 4.0815 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2732 loss: 1.2732 2022/08/02 00:30:03 - mmengine - INFO - Epoch(train) [78][180/940] lr: 6.0000e-03 eta: 3:10:10 time: 0.6356 data_time: 0.3047 memory: 13609 grad_norm: 4.1306 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2366 loss: 1.2366 2022/08/02 00:30:11 - mmengine - INFO - Epoch(train) [78][200/940] lr: 6.0000e-03 eta: 3:09:59 time: 0.3982 data_time: 0.0834 memory: 13609 grad_norm: 4.0771 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3064 loss: 1.3064 2022/08/02 00:30:23 - mmengine - INFO - Epoch(train) [78][220/940] lr: 6.0000e-03 eta: 3:09:48 time: 0.5890 data_time: 0.1071 memory: 13609 grad_norm: 4.1168 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2952 loss: 1.2952 2022/08/02 00:30:33 - mmengine - INFO - Epoch(train) [78][240/940] lr: 6.0000e-03 eta: 3:09:38 time: 0.5034 data_time: 0.1321 memory: 13609 grad_norm: 4.1220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2550 loss: 1.2550 2022/08/02 00:30:44 - mmengine - INFO - Epoch(train) [78][260/940] lr: 6.0000e-03 eta: 3:09:27 time: 0.5439 data_time: 0.2334 memory: 13609 grad_norm: 4.0878 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2435 loss: 1.2435 2022/08/02 00:30:54 - mmengine - INFO - Epoch(train) [78][280/940] lr: 6.0000e-03 eta: 3:09:16 time: 0.5171 data_time: 0.1795 memory: 13609 grad_norm: 4.1109 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1317 loss: 1.1317 2022/08/02 00:31:05 - mmengine - INFO - Epoch(train) [78][300/940] lr: 6.0000e-03 eta: 3:09:06 time: 0.5267 data_time: 0.1954 memory: 13609 grad_norm: 4.1220 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2508 loss: 1.2508 2022/08/02 00:31:15 - mmengine - INFO - Epoch(train) [78][320/940] lr: 6.0000e-03 eta: 3:08:55 time: 0.4948 data_time: 0.1384 memory: 13609 grad_norm: 4.1308 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2184 loss: 1.2184 2022/08/02 00:31:26 - mmengine - INFO - Epoch(train) [78][340/940] lr: 6.0000e-03 eta: 3:08:44 time: 0.5687 data_time: 0.2047 memory: 13609 grad_norm: 4.1032 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3373 loss: 1.3373 2022/08/02 00:31:36 - mmengine - INFO - Epoch(train) [78][360/940] lr: 6.0000e-03 eta: 3:08:33 time: 0.4829 data_time: 0.1881 memory: 13609 grad_norm: 4.0361 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1720 loss: 1.1720 2022/08/02 00:31:47 - mmengine - INFO - Epoch(train) [78][380/940] lr: 6.0000e-03 eta: 3:08:23 time: 0.5546 data_time: 0.2001 memory: 13609 grad_norm: 4.0792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1900 loss: 1.1900 2022/08/02 00:31:57 - mmengine - INFO - Epoch(train) [78][400/940] lr: 6.0000e-03 eta: 3:08:12 time: 0.4898 data_time: 0.0344 memory: 13609 grad_norm: 4.0906 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3508 loss: 1.3508 2022/08/02 00:32:08 - mmengine - INFO - Epoch(train) [78][420/940] lr: 6.0000e-03 eta: 3:08:02 time: 0.5567 data_time: 0.0357 memory: 13609 grad_norm: 4.1425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1973 loss: 1.1973 2022/08/02 00:32:18 - mmengine - INFO - Epoch(train) [78][440/940] lr: 6.0000e-03 eta: 3:07:51 time: 0.5116 data_time: 0.0707 memory: 13609 grad_norm: 4.1583 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3857 loss: 1.3857 2022/08/02 00:32:29 - mmengine - INFO - Epoch(train) [78][460/940] lr: 6.0000e-03 eta: 3:07:40 time: 0.5213 data_time: 0.0277 memory: 13609 grad_norm: 4.2538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3755 loss: 1.3755 2022/08/02 00:32:39 - mmengine - INFO - Epoch(train) [78][480/940] lr: 6.0000e-03 eta: 3:07:29 time: 0.5107 data_time: 0.0359 memory: 13609 grad_norm: 4.0382 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2663 loss: 1.2663 2022/08/02 00:32:51 - mmengine - INFO - Epoch(train) [78][500/940] lr: 6.0000e-03 eta: 3:07:19 time: 0.6102 data_time: 0.0331 memory: 13609 grad_norm: 4.1099 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3399 loss: 1.3399 2022/08/02 00:33:00 - mmengine - INFO - Epoch(train) [78][520/940] lr: 6.0000e-03 eta: 3:07:08 time: 0.4689 data_time: 0.0370 memory: 13609 grad_norm: 4.1262 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4560 loss: 1.4560 2022/08/02 00:33:11 - mmengine - INFO - Epoch(train) [78][540/940] lr: 6.0000e-03 eta: 3:06:58 time: 0.5446 data_time: 0.0503 memory: 13609 grad_norm: 4.1231 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3178 loss: 1.3178 2022/08/02 00:33:22 - mmengine - INFO - Epoch(train) [78][560/940] lr: 6.0000e-03 eta: 3:06:47 time: 0.5250 data_time: 0.0430 memory: 13609 grad_norm: 4.0716 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3640 loss: 1.3640 2022/08/02 00:33:34 - mmengine - INFO - Epoch(train) [78][580/940] lr: 6.0000e-03 eta: 3:06:37 time: 0.6081 data_time: 0.0261 memory: 13609 grad_norm: 4.1614 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3713 loss: 1.3713 2022/08/02 00:33:43 - mmengine - INFO - Epoch(train) [78][600/940] lr: 6.0000e-03 eta: 3:06:26 time: 0.4706 data_time: 0.1350 memory: 13609 grad_norm: 4.1050 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2471 loss: 1.2471 2022/08/02 00:33:54 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:33:54 - mmengine - INFO - Epoch(train) [78][620/940] lr: 6.0000e-03 eta: 3:06:15 time: 0.5341 data_time: 0.0866 memory: 13609 grad_norm: 4.0799 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2745 loss: 1.2745 2022/08/02 00:34:05 - mmengine - INFO - Epoch(train) [78][640/940] lr: 6.0000e-03 eta: 3:06:04 time: 0.5193 data_time: 0.1462 memory: 13609 grad_norm: 4.1440 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/08/02 00:34:14 - mmengine - INFO - Epoch(train) [78][660/940] lr: 6.0000e-03 eta: 3:05:53 time: 0.4963 data_time: 0.1170 memory: 13609 grad_norm: 4.1165 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1597 loss: 1.1597 2022/08/02 00:34:25 - mmengine - INFO - Epoch(train) [78][680/940] lr: 6.0000e-03 eta: 3:05:43 time: 0.5394 data_time: 0.1301 memory: 13609 grad_norm: 4.0803 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4049 loss: 1.4049 2022/08/02 00:34:35 - mmengine - INFO - Epoch(train) [78][700/940] lr: 6.0000e-03 eta: 3:05:32 time: 0.5011 data_time: 0.1092 memory: 13609 grad_norm: 4.1177 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1924 loss: 1.1924 2022/08/02 00:34:46 - mmengine - INFO - Epoch(train) [78][720/940] lr: 6.0000e-03 eta: 3:05:21 time: 0.5319 data_time: 0.2018 memory: 13609 grad_norm: 4.1169 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3661 loss: 1.3661 2022/08/02 00:34:57 - mmengine - INFO - Epoch(train) [78][740/940] lr: 6.0000e-03 eta: 3:05:11 time: 0.5406 data_time: 0.1895 memory: 13609 grad_norm: 4.1179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2278 loss: 1.2278 2022/08/02 00:35:07 - mmengine - INFO - Epoch(train) [78][760/940] lr: 6.0000e-03 eta: 3:05:00 time: 0.5055 data_time: 0.0990 memory: 13609 grad_norm: 4.2064 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1791 loss: 1.1791 2022/08/02 00:35:18 - mmengine - INFO - Epoch(train) [78][780/940] lr: 6.0000e-03 eta: 3:04:49 time: 0.5340 data_time: 0.1175 memory: 13609 grad_norm: 4.1995 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2627 loss: 1.2627 2022/08/02 00:35:29 - mmengine - INFO - Epoch(train) [78][800/940] lr: 6.0000e-03 eta: 3:04:39 time: 0.5515 data_time: 0.0885 memory: 13609 grad_norm: 4.0881 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2786 loss: 1.2786 2022/08/02 00:35:39 - mmengine - INFO - Epoch(train) [78][820/940] lr: 6.0000e-03 eta: 3:04:28 time: 0.4975 data_time: 0.0359 memory: 13609 grad_norm: 4.1709 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2561 loss: 1.2561 2022/08/02 00:35:50 - mmengine - INFO - Epoch(train) [78][840/940] lr: 6.0000e-03 eta: 3:04:17 time: 0.5554 data_time: 0.0327 memory: 13609 grad_norm: 4.1856 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2667 loss: 1.2667 2022/08/02 00:35:59 - mmengine - INFO - Epoch(train) [78][860/940] lr: 6.0000e-03 eta: 3:04:06 time: 0.4597 data_time: 0.0328 memory: 13609 grad_norm: 4.2019 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2456 loss: 1.2456 2022/08/02 00:36:10 - mmengine - INFO - Epoch(train) [78][880/940] lr: 6.0000e-03 eta: 3:03:56 time: 0.5712 data_time: 0.0455 memory: 13609 grad_norm: 4.1312 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2700 loss: 1.2700 2022/08/02 00:36:20 - mmengine - INFO - Epoch(train) [78][900/940] lr: 6.0000e-03 eta: 3:03:45 time: 0.5038 data_time: 0.0336 memory: 13609 grad_norm: 4.2551 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2650 loss: 1.2650 2022/08/02 00:36:31 - mmengine - INFO - Epoch(train) [78][920/940] lr: 6.0000e-03 eta: 3:03:35 time: 0.5459 data_time: 0.0455 memory: 13609 grad_norm: 4.1583 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3152 loss: 1.3152 2022/08/02 00:36:39 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:36:39 - mmengine - INFO - Epoch(train) [78][940/940] lr: 6.0000e-03 eta: 3:03:23 time: 0.4076 data_time: 0.0246 memory: 13609 grad_norm: 4.3377 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2464 loss: 1.2464 2022/08/02 00:36:39 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/02 00:38:26 - mmengine - INFO - Epoch(val) [78][20/78] eta: 0:05:05 time: 5.2736 data_time: 4.5078 memory: 19674 2022/08/02 00:39:38 - mmengine - INFO - Epoch(val) [78][40/78] eta: 0:02:16 time: 3.5864 data_time: 2.8285 memory: 19674 2022/08/02 00:41:14 - mmengine - INFO - Epoch(val) [78][60/78] eta: 0:01:26 time: 4.7960 data_time: 4.0501 memory: 19674 2022/08/02 00:42:28 - mmengine - INFO - Epoch(val) [78][78/78] acc/top1: 0.6980 acc/top5: 0.8904 acc/mean1: 0.6979 2022/08/02 00:42:42 - mmengine - INFO - Epoch(train) [79][20/940] lr: 6.0000e-03 eta: 3:03:14 time: 0.7001 data_time: 0.3230 memory: 19674 grad_norm: 4.1064 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1531 loss: 1.1531 2022/08/02 00:42:52 - mmengine - INFO - Epoch(train) [79][40/940] lr: 6.0000e-03 eta: 3:03:03 time: 0.5293 data_time: 0.0951 memory: 13609 grad_norm: 4.1256 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 1.2601 loss: 1.2601 2022/08/02 00:43:04 - mmengine - INFO - Epoch(train) [79][60/940] lr: 6.0000e-03 eta: 3:02:53 time: 0.5690 data_time: 0.0817 memory: 13609 grad_norm: 4.1066 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3017 loss: 1.3017 2022/08/02 00:43:13 - mmengine - INFO - Epoch(train) [79][80/940] lr: 6.0000e-03 eta: 3:02:42 time: 0.4730 data_time: 0.0674 memory: 13609 grad_norm: 4.0635 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2662 loss: 1.2662 2022/08/02 00:43:25 - mmengine - INFO - Epoch(train) [79][100/940] lr: 6.0000e-03 eta: 3:02:31 time: 0.5677 data_time: 0.1222 memory: 13609 grad_norm: 4.1542 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4095 loss: 1.4095 2022/08/02 00:43:34 - mmengine - INFO - Epoch(train) [79][120/940] lr: 6.0000e-03 eta: 3:02:20 time: 0.4952 data_time: 0.1277 memory: 13609 grad_norm: 4.2152 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3037 loss: 1.3037 2022/08/02 00:43:46 - mmengine - INFO - Epoch(train) [79][140/940] lr: 6.0000e-03 eta: 3:02:10 time: 0.5843 data_time: 0.2951 memory: 13609 grad_norm: 4.0943 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2423 loss: 1.2423 2022/08/02 00:43:56 - mmengine - INFO - Epoch(train) [79][160/940] lr: 6.0000e-03 eta: 3:01:59 time: 0.4772 data_time: 0.1803 memory: 13609 grad_norm: 4.0769 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2730 loss: 1.2730 2022/08/02 00:44:07 - mmengine - INFO - Epoch(train) [79][180/940] lr: 6.0000e-03 eta: 3:01:48 time: 0.5484 data_time: 0.1339 memory: 13609 grad_norm: 4.1108 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2639 loss: 1.2639 2022/08/02 00:44:16 - mmengine - INFO - Epoch(train) [79][200/940] lr: 6.0000e-03 eta: 3:01:37 time: 0.4786 data_time: 0.0834 memory: 13609 grad_norm: 4.2352 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3153 loss: 1.3153 2022/08/02 00:44:28 - mmengine - INFO - Epoch(train) [79][220/940] lr: 6.0000e-03 eta: 3:01:27 time: 0.5649 data_time: 0.1243 memory: 13609 grad_norm: 4.0906 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1529 loss: 1.1529 2022/08/02 00:44:37 - mmengine - INFO - Epoch(train) [79][240/940] lr: 6.0000e-03 eta: 3:01:16 time: 0.4962 data_time: 0.0633 memory: 13609 grad_norm: 4.0845 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/08/02 00:44:49 - mmengine - INFO - Epoch(train) [79][260/940] lr: 6.0000e-03 eta: 3:01:06 time: 0.5848 data_time: 0.1816 memory: 13609 grad_norm: 4.0906 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2397 loss: 1.2397 2022/08/02 00:44:59 - mmengine - INFO - Epoch(train) [79][280/940] lr: 6.0000e-03 eta: 3:00:55 time: 0.4971 data_time: 0.0459 memory: 13609 grad_norm: 4.1943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0866 loss: 1.0866 2022/08/02 00:45:11 - mmengine - INFO - Epoch(train) [79][300/940] lr: 6.0000e-03 eta: 3:00:45 time: 0.5849 data_time: 0.1221 memory: 13609 grad_norm: 4.0376 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3071 loss: 1.3071 2022/08/02 00:45:20 - mmengine - INFO - Epoch(train) [79][320/940] lr: 6.0000e-03 eta: 3:00:34 time: 0.4625 data_time: 0.0605 memory: 13609 grad_norm: 4.1358 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2807 loss: 1.2807 2022/08/02 00:45:31 - mmengine - INFO - Epoch(train) [79][340/940] lr: 6.0000e-03 eta: 3:00:23 time: 0.5430 data_time: 0.1228 memory: 13609 grad_norm: 4.1607 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.3632 loss: 1.3632 2022/08/02 00:45:41 - mmengine - INFO - Epoch(train) [79][360/940] lr: 6.0000e-03 eta: 3:00:12 time: 0.4817 data_time: 0.1287 memory: 13609 grad_norm: 4.1146 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2068 loss: 1.2068 2022/08/02 00:45:52 - mmengine - INFO - Epoch(train) [79][380/940] lr: 6.0000e-03 eta: 3:00:02 time: 0.5771 data_time: 0.1152 memory: 13609 grad_norm: 4.1250 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3775 loss: 1.3775 2022/08/02 00:46:02 - mmengine - INFO - Epoch(train) [79][400/940] lr: 6.0000e-03 eta: 2:59:51 time: 0.4677 data_time: 0.0504 memory: 13609 grad_norm: 4.2098 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3264 loss: 1.3264 2022/08/02 00:46:14 - mmengine - INFO - Epoch(train) [79][420/940] lr: 6.0000e-03 eta: 2:59:41 time: 0.6179 data_time: 0.1181 memory: 13609 grad_norm: 4.2238 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2973 loss: 1.2973 2022/08/02 00:46:24 - mmengine - INFO - Epoch(train) [79][440/940] lr: 6.0000e-03 eta: 2:59:30 time: 0.4998 data_time: 0.1035 memory: 13609 grad_norm: 4.2143 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3903 loss: 1.3903 2022/08/02 00:46:36 - mmengine - INFO - Epoch(train) [79][460/940] lr: 6.0000e-03 eta: 2:59:19 time: 0.5872 data_time: 0.0667 memory: 13609 grad_norm: 4.1450 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2405 loss: 1.2405 2022/08/02 00:46:45 - mmengine - INFO - Epoch(train) [79][480/940] lr: 6.0000e-03 eta: 2:59:08 time: 0.4749 data_time: 0.0310 memory: 13609 grad_norm: 4.1568 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2077 loss: 1.2077 2022/08/02 00:46:56 - mmengine - INFO - Epoch(train) [79][500/940] lr: 6.0000e-03 eta: 2:58:58 time: 0.5447 data_time: 0.0393 memory: 13609 grad_norm: 4.2613 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1612 loss: 1.1612 2022/08/02 00:47:07 - mmengine - INFO - Epoch(train) [79][520/940] lr: 6.0000e-03 eta: 2:58:47 time: 0.5579 data_time: 0.0410 memory: 13609 grad_norm: 4.1378 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2817 loss: 1.2817 2022/08/02 00:47:17 - mmengine - INFO - Epoch(train) [79][540/940] lr: 6.0000e-03 eta: 2:58:36 time: 0.4694 data_time: 0.0381 memory: 13609 grad_norm: 4.1890 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3292 loss: 1.3292 2022/08/02 00:47:27 - mmengine - INFO - Epoch(train) [79][560/940] lr: 6.0000e-03 eta: 2:58:26 time: 0.5282 data_time: 0.0565 memory: 13609 grad_norm: 4.2199 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3038 loss: 1.3038 2022/08/02 00:47:38 - mmengine - INFO - Epoch(train) [79][580/940] lr: 6.0000e-03 eta: 2:58:15 time: 0.5363 data_time: 0.0350 memory: 13609 grad_norm: 4.2421 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2441 loss: 1.2441 2022/08/02 00:47:47 - mmengine - INFO - Epoch(train) [79][600/940] lr: 6.0000e-03 eta: 2:58:04 time: 0.4638 data_time: 0.0339 memory: 13609 grad_norm: 4.2202 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2533 loss: 1.2533 2022/08/02 00:47:58 - mmengine - INFO - Epoch(train) [79][620/940] lr: 6.0000e-03 eta: 2:57:53 time: 0.5268 data_time: 0.0355 memory: 13609 grad_norm: 4.2651 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2610 loss: 1.2610 2022/08/02 00:48:10 - mmengine - INFO - Epoch(train) [79][640/940] lr: 6.0000e-03 eta: 2:57:43 time: 0.6217 data_time: 0.0367 memory: 13609 grad_norm: 4.1328 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3480 loss: 1.3480 2022/08/02 00:48:19 - mmengine - INFO - Epoch(train) [79][660/940] lr: 6.0000e-03 eta: 2:57:32 time: 0.4492 data_time: 0.0384 memory: 13609 grad_norm: 4.0246 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.2178 loss: 1.2178 2022/08/02 00:48:30 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:48:30 - mmengine - INFO - Epoch(train) [79][680/940] lr: 6.0000e-03 eta: 2:57:21 time: 0.5339 data_time: 0.0342 memory: 13609 grad_norm: 4.1335 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2453 loss: 1.2453 2022/08/02 00:48:40 - mmengine - INFO - Epoch(train) [79][700/940] lr: 6.0000e-03 eta: 2:57:11 time: 0.4916 data_time: 0.0453 memory: 13609 grad_norm: 4.1623 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1792 loss: 1.1792 2022/08/02 00:48:51 - mmengine - INFO - Epoch(train) [79][720/940] lr: 6.0000e-03 eta: 2:57:00 time: 0.5808 data_time: 0.0289 memory: 13609 grad_norm: 4.2333 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2898 loss: 1.2898 2022/08/02 00:49:02 - mmengine - INFO - Epoch(train) [79][740/940] lr: 6.0000e-03 eta: 2:56:50 time: 0.5270 data_time: 0.0394 memory: 13609 grad_norm: 4.1879 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3492 loss: 1.3492 2022/08/02 00:49:12 - mmengine - INFO - Epoch(train) [79][760/940] lr: 6.0000e-03 eta: 2:56:39 time: 0.5067 data_time: 0.0302 memory: 13609 grad_norm: 4.2762 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3456 loss: 1.3456 2022/08/02 00:49:22 - mmengine - INFO - Epoch(train) [79][780/940] lr: 6.0000e-03 eta: 2:56:28 time: 0.5031 data_time: 0.0470 memory: 13609 grad_norm: 4.1940 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3599 loss: 1.3599 2022/08/02 00:49:33 - mmengine - INFO - Epoch(train) [79][800/940] lr: 6.0000e-03 eta: 2:56:18 time: 0.5647 data_time: 0.0540 memory: 13609 grad_norm: 4.1035 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0752 loss: 1.0752 2022/08/02 00:49:44 - mmengine - INFO - Epoch(train) [79][820/940] lr: 6.0000e-03 eta: 2:56:07 time: 0.5148 data_time: 0.0493 memory: 13609 grad_norm: 4.1456 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1945 loss: 1.1945 2022/08/02 00:49:56 - mmengine - INFO - Epoch(train) [79][840/940] lr: 6.0000e-03 eta: 2:55:57 time: 0.6124 data_time: 0.0280 memory: 13609 grad_norm: 4.2385 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3879 loss: 1.3879 2022/08/02 00:50:04 - mmengine - INFO - Epoch(train) [79][860/940] lr: 6.0000e-03 eta: 2:55:45 time: 0.4187 data_time: 0.0487 memory: 13609 grad_norm: 4.1590 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3401 loss: 1.3401 2022/08/02 00:50:16 - mmengine - INFO - Epoch(train) [79][880/940] lr: 6.0000e-03 eta: 2:55:35 time: 0.5955 data_time: 0.0288 memory: 13609 grad_norm: 4.1863 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2505 loss: 1.2505 2022/08/02 00:50:25 - mmengine - INFO - Epoch(train) [79][900/940] lr: 6.0000e-03 eta: 2:55:24 time: 0.4370 data_time: 0.0398 memory: 13609 grad_norm: 4.1809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3279 loss: 1.3279 2022/08/02 00:50:36 - mmengine - INFO - Epoch(train) [79][920/940] lr: 6.0000e-03 eta: 2:55:13 time: 0.5697 data_time: 0.0372 memory: 13609 grad_norm: 4.1879 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3477 loss: 1.3477 2022/08/02 00:50:45 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 00:50:45 - mmengine - INFO - Epoch(train) [79][940/940] lr: 6.0000e-03 eta: 2:55:02 time: 0.4356 data_time: 0.0247 memory: 13609 grad_norm: 4.3976 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3087 loss: 1.3087 2022/08/02 00:52:30 - mmengine - INFO - Epoch(val) [79][20/78] eta: 0:05:04 time: 5.2546 data_time: 4.4738 memory: 19674 2022/08/02 00:53:43 - mmengine - INFO - Epoch(val) [79][40/78] eta: 0:02:18 time: 3.6443 data_time: 2.8803 memory: 19674 2022/08/02 00:55:20 - mmengine - INFO - Epoch(val) [79][60/78] eta: 0:01:27 time: 4.8444 data_time: 4.0721 memory: 19674 2022/08/02 00:56:32 - mmengine - INFO - Epoch(val) [79][78/78] acc/top1: 0.6969 acc/top5: 0.8891 acc/mean1: 0.6968 2022/08/02 00:56:47 - mmengine - INFO - Epoch(train) [80][20/940] lr: 6.0000e-03 eta: 2:54:53 time: 0.7179 data_time: 0.2476 memory: 19674 grad_norm: 3.9872 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3404 loss: 1.3404 2022/08/02 00:56:56 - mmengine - INFO - Epoch(train) [80][40/940] lr: 6.0000e-03 eta: 2:54:42 time: 0.4832 data_time: 0.0480 memory: 13609 grad_norm: 4.0556 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0408 loss: 1.0408 2022/08/02 00:57:08 - mmengine - INFO - Epoch(train) [80][60/940] lr: 6.0000e-03 eta: 2:54:31 time: 0.5675 data_time: 0.0487 memory: 13609 grad_norm: 4.1604 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.2845 loss: 1.2845 2022/08/02 00:57:17 - mmengine - INFO - Epoch(train) [80][80/940] lr: 6.0000e-03 eta: 2:54:20 time: 0.4776 data_time: 0.0332 memory: 13609 grad_norm: 4.1423 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2471 loss: 1.2471 2022/08/02 00:57:28 - mmengine - INFO - Epoch(train) [80][100/940] lr: 6.0000e-03 eta: 2:54:10 time: 0.5578 data_time: 0.0321 memory: 13609 grad_norm: 4.2615 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3165 loss: 1.3165 2022/08/02 00:57:38 - mmengine - INFO - Epoch(train) [80][120/940] lr: 6.0000e-03 eta: 2:53:59 time: 0.4661 data_time: 0.0336 memory: 13609 grad_norm: 4.2001 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3636 loss: 1.3636 2022/08/02 00:57:50 - mmengine - INFO - Epoch(train) [80][140/940] lr: 6.0000e-03 eta: 2:53:49 time: 0.6027 data_time: 0.0437 memory: 13609 grad_norm: 4.0679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2328 loss: 1.2328 2022/08/02 00:57:59 - mmengine - INFO - Epoch(train) [80][160/940] lr: 6.0000e-03 eta: 2:53:38 time: 0.4845 data_time: 0.0364 memory: 13609 grad_norm: 4.2341 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2138 loss: 1.2138 2022/08/02 00:58:11 - mmengine - INFO - Epoch(train) [80][180/940] lr: 6.0000e-03 eta: 2:53:27 time: 0.5593 data_time: 0.0346 memory: 13609 grad_norm: 4.2235 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3192 loss: 1.3192 2022/08/02 00:58:21 - mmengine - INFO - Epoch(train) [80][200/940] lr: 6.0000e-03 eta: 2:53:16 time: 0.5078 data_time: 0.0312 memory: 13609 grad_norm: 4.1539 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2985 loss: 1.2985 2022/08/02 00:58:32 - mmengine - INFO - Epoch(train) [80][220/940] lr: 6.0000e-03 eta: 2:53:06 time: 0.5699 data_time: 0.0426 memory: 13609 grad_norm: 4.2664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3265 loss: 1.3265 2022/08/02 00:58:42 - mmengine - INFO - Epoch(train) [80][240/940] lr: 6.0000e-03 eta: 2:52:55 time: 0.4728 data_time: 0.0364 memory: 13609 grad_norm: 4.1162 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1700 loss: 1.1700 2022/08/02 00:58:53 - mmengine - INFO - Epoch(train) [80][260/940] lr: 6.0000e-03 eta: 2:52:45 time: 0.5674 data_time: 0.0358 memory: 13609 grad_norm: 4.1190 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2772 loss: 1.2772 2022/08/02 00:59:03 - mmengine - INFO - Epoch(train) [80][280/940] lr: 6.0000e-03 eta: 2:52:34 time: 0.4889 data_time: 0.0340 memory: 13609 grad_norm: 4.1510 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2144 loss: 1.2144 2022/08/02 00:59:14 - mmengine - INFO - Epoch(train) [80][300/940] lr: 6.0000e-03 eta: 2:52:23 time: 0.5786 data_time: 0.0358 memory: 13609 grad_norm: 4.2258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3384 loss: 1.3384 2022/08/02 00:59:24 - mmengine - INFO - Epoch(train) [80][320/940] lr: 6.0000e-03 eta: 2:52:12 time: 0.4906 data_time: 0.0316 memory: 13609 grad_norm: 4.1639 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3402 loss: 1.3402 2022/08/02 00:59:37 - mmengine - INFO - Epoch(train) [80][340/940] lr: 6.0000e-03 eta: 2:52:02 time: 0.6232 data_time: 0.0588 memory: 13609 grad_norm: 4.2030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3325 loss: 1.3325 2022/08/02 00:59:45 - mmengine - INFO - Epoch(train) [80][360/940] lr: 6.0000e-03 eta: 2:51:51 time: 0.4306 data_time: 0.0386 memory: 13609 grad_norm: 4.1873 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1658 loss: 1.1658 2022/08/02 00:59:57 - mmengine - INFO - Epoch(train) [80][380/940] lr: 6.0000e-03 eta: 2:51:41 time: 0.5906 data_time: 0.0400 memory: 13609 grad_norm: 4.1589 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2464 loss: 1.2464 2022/08/02 01:00:07 - mmengine - INFO - Epoch(train) [80][400/940] lr: 6.0000e-03 eta: 2:51:30 time: 0.4837 data_time: 0.0493 memory: 13609 grad_norm: 4.0526 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2322 loss: 1.2322 2022/08/02 01:00:18 - mmengine - INFO - Epoch(train) [80][420/940] lr: 6.0000e-03 eta: 2:51:19 time: 0.5450 data_time: 0.0358 memory: 13609 grad_norm: 4.2198 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3201 loss: 1.3201 2022/08/02 01:00:28 - mmengine - INFO - Epoch(train) [80][440/940] lr: 6.0000e-03 eta: 2:51:09 time: 0.5274 data_time: 0.0352 memory: 13609 grad_norm: 4.1473 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2246 loss: 1.2246 2022/08/02 01:00:38 - mmengine - INFO - Epoch(train) [80][460/940] lr: 6.0000e-03 eta: 2:50:58 time: 0.4808 data_time: 0.0401 memory: 13609 grad_norm: 4.2789 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1409 loss: 1.1409 2022/08/02 01:00:50 - mmengine - INFO - Epoch(train) [80][480/940] lr: 6.0000e-03 eta: 2:50:47 time: 0.6006 data_time: 0.0557 memory: 13609 grad_norm: 4.1652 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4213 loss: 1.4213 2022/08/02 01:01:00 - mmengine - INFO - Epoch(train) [80][500/940] lr: 6.0000e-03 eta: 2:50:37 time: 0.5021 data_time: 0.0393 memory: 13609 grad_norm: 4.1598 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2268 loss: 1.2268 2022/08/02 01:01:11 - mmengine - INFO - Epoch(train) [80][520/940] lr: 6.0000e-03 eta: 2:50:26 time: 0.5460 data_time: 0.0416 memory: 13609 grad_norm: 4.2897 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3467 loss: 1.3467 2022/08/02 01:01:21 - mmengine - INFO - Epoch(train) [80][540/940] lr: 6.0000e-03 eta: 2:50:15 time: 0.4844 data_time: 0.0438 memory: 13609 grad_norm: 4.2175 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2672 loss: 1.2672 2022/08/02 01:01:32 - mmengine - INFO - Epoch(train) [80][560/940] lr: 6.0000e-03 eta: 2:50:05 time: 0.5536 data_time: 0.0331 memory: 13609 grad_norm: 4.1926 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.2151 loss: 1.2151 2022/08/02 01:01:42 - mmengine - INFO - Epoch(train) [80][580/940] lr: 6.0000e-03 eta: 2:49:54 time: 0.5084 data_time: 0.0395 memory: 13609 grad_norm: 4.2761 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3093 loss: 1.3093 2022/08/02 01:01:53 - mmengine - INFO - Epoch(train) [80][600/940] lr: 6.0000e-03 eta: 2:49:43 time: 0.5618 data_time: 0.0360 memory: 13609 grad_norm: 4.2685 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2206 loss: 1.2206 2022/08/02 01:02:03 - mmengine - INFO - Epoch(train) [80][620/940] lr: 6.0000e-03 eta: 2:49:33 time: 0.4922 data_time: 0.0402 memory: 13609 grad_norm: 4.1917 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1964 loss: 1.1964 2022/08/02 01:02:14 - mmengine - INFO - Epoch(train) [80][640/940] lr: 6.0000e-03 eta: 2:49:22 time: 0.5563 data_time: 0.0439 memory: 13609 grad_norm: 4.2106 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2704 loss: 1.2704 2022/08/02 01:02:24 - mmengine - INFO - Epoch(train) [80][660/940] lr: 6.0000e-03 eta: 2:49:11 time: 0.4736 data_time: 0.0359 memory: 13609 grad_norm: 4.2818 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3575 loss: 1.3575 2022/08/02 01:02:34 - mmengine - INFO - Epoch(train) [80][680/940] lr: 6.0000e-03 eta: 2:49:01 time: 0.5401 data_time: 0.0359 memory: 13609 grad_norm: 4.3032 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1904 loss: 1.1904 2022/08/02 01:02:44 - mmengine - INFO - Epoch(train) [80][700/940] lr: 6.0000e-03 eta: 2:48:50 time: 0.4866 data_time: 0.0339 memory: 13609 grad_norm: 4.2624 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 1.2230 loss: 1.2230 2022/08/02 01:02:56 - mmengine - INFO - Epoch(train) [80][720/940] lr: 6.0000e-03 eta: 2:48:39 time: 0.5775 data_time: 0.0473 memory: 13609 grad_norm: 4.2442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3088 loss: 1.3088 2022/08/02 01:03:05 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:03:05 - mmengine - INFO - Epoch(train) [80][740/940] lr: 6.0000e-03 eta: 2:48:28 time: 0.4866 data_time: 0.0370 memory: 13609 grad_norm: 4.3221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1489 loss: 1.1489 2022/08/02 01:03:18 - mmengine - INFO - Epoch(train) [80][760/940] lr: 6.0000e-03 eta: 2:48:18 time: 0.6086 data_time: 0.0350 memory: 13609 grad_norm: 4.2163 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2730 loss: 1.2730 2022/08/02 01:03:26 - mmengine - INFO - Epoch(train) [80][780/940] lr: 6.0000e-03 eta: 2:48:07 time: 0.4391 data_time: 0.0292 memory: 13609 grad_norm: 4.3089 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3693 loss: 1.3693 2022/08/02 01:03:38 - mmengine - INFO - Epoch(train) [80][800/940] lr: 6.0000e-03 eta: 2:47:57 time: 0.5882 data_time: 0.0387 memory: 13609 grad_norm: 4.2042 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2254 loss: 1.2254 2022/08/02 01:03:48 - mmengine - INFO - Epoch(train) [80][820/940] lr: 6.0000e-03 eta: 2:47:46 time: 0.5038 data_time: 0.0298 memory: 13609 grad_norm: 4.1942 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1971 loss: 1.1971 2022/08/02 01:03:59 - mmengine - INFO - Epoch(train) [80][840/940] lr: 6.0000e-03 eta: 2:47:35 time: 0.5172 data_time: 0.0495 memory: 13609 grad_norm: 4.2847 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.2244 loss: 1.2244 2022/08/02 01:04:09 - mmengine - INFO - Epoch(train) [80][860/940] lr: 6.0000e-03 eta: 2:47:24 time: 0.5152 data_time: 0.0293 memory: 13609 grad_norm: 4.3008 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2861 loss: 1.2861 2022/08/02 01:04:19 - mmengine - INFO - Epoch(train) [80][880/940] lr: 6.0000e-03 eta: 2:47:14 time: 0.5159 data_time: 0.0718 memory: 13609 grad_norm: 4.2689 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2769 loss: 1.2769 2022/08/02 01:04:29 - mmengine - INFO - Epoch(train) [80][900/940] lr: 6.0000e-03 eta: 2:47:03 time: 0.5108 data_time: 0.0535 memory: 13609 grad_norm: 4.2199 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3185 loss: 1.3185 2022/08/02 01:04:40 - mmengine - INFO - Epoch(train) [80][920/940] lr: 6.0000e-03 eta: 2:46:52 time: 0.5134 data_time: 0.0394 memory: 13609 grad_norm: 4.2433 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3741 loss: 1.3741 2022/08/02 01:04:49 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:04:49 - mmengine - INFO - Epoch(train) [80][940/940] lr: 6.0000e-03 eta: 2:46:41 time: 0.4428 data_time: 0.0309 memory: 13609 grad_norm: 4.4662 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3248 loss: 1.3248 2022/08/02 01:06:34 - mmengine - INFO - Epoch(val) [80][20/78] eta: 0:05:06 time: 5.2892 data_time: 4.4969 memory: 19674 2022/08/02 01:07:46 - mmengine - INFO - Epoch(val) [80][40/78] eta: 0:02:16 time: 3.6027 data_time: 2.8341 memory: 19674 2022/08/02 01:09:23 - mmengine - INFO - Epoch(val) [80][60/78] eta: 0:01:26 time: 4.8061 data_time: 4.0238 memory: 19674 2022/08/02 01:10:37 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.6960 acc/top5: 0.8879 acc/mean1: 0.6959 2022/08/02 01:10:51 - mmengine - INFO - Epoch(train) [81][20/940] lr: 6.0000e-04 eta: 2:46:31 time: 0.7097 data_time: 0.4084 memory: 19674 grad_norm: 4.2361 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2617 loss: 1.2617 2022/08/02 01:11:01 - mmengine - INFO - Epoch(train) [81][40/940] lr: 6.0000e-04 eta: 2:46:21 time: 0.4922 data_time: 0.1942 memory: 13609 grad_norm: 4.1520 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.2502 loss: 1.2502 2022/08/02 01:11:12 - mmengine - INFO - Epoch(train) [81][60/940] lr: 6.0000e-04 eta: 2:46:10 time: 0.5470 data_time: 0.2510 memory: 13609 grad_norm: 3.9273 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2893 loss: 1.2893 2022/08/02 01:11:22 - mmengine - INFO - Epoch(train) [81][80/940] lr: 6.0000e-04 eta: 2:45:59 time: 0.5244 data_time: 0.1311 memory: 13609 grad_norm: 4.0416 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2735 loss: 1.2735 2022/08/02 01:11:33 - mmengine - INFO - Epoch(train) [81][100/940] lr: 6.0000e-04 eta: 2:45:49 time: 0.5587 data_time: 0.1247 memory: 13609 grad_norm: 4.0732 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3052 loss: 1.3052 2022/08/02 01:11:43 - mmengine - INFO - Epoch(train) [81][120/940] lr: 6.0000e-04 eta: 2:45:38 time: 0.4938 data_time: 0.1358 memory: 13609 grad_norm: 4.0051 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1746 loss: 1.1746 2022/08/02 01:11:55 - mmengine - INFO - Epoch(train) [81][140/940] lr: 6.0000e-04 eta: 2:45:27 time: 0.5616 data_time: 0.0911 memory: 13609 grad_norm: 4.1025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2071 loss: 1.2071 2022/08/02 01:12:05 - mmengine - INFO - Epoch(train) [81][160/940] lr: 6.0000e-04 eta: 2:45:17 time: 0.5090 data_time: 0.0767 memory: 13609 grad_norm: 4.1369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1203 loss: 1.1203 2022/08/02 01:12:15 - mmengine - INFO - Epoch(train) [81][180/940] lr: 6.0000e-04 eta: 2:45:06 time: 0.5391 data_time: 0.1622 memory: 13609 grad_norm: 4.0385 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1105 loss: 1.1105 2022/08/02 01:12:25 - mmengine - INFO - Epoch(train) [81][200/940] lr: 6.0000e-04 eta: 2:44:55 time: 0.4974 data_time: 0.1317 memory: 13609 grad_norm: 4.0727 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/08/02 01:12:36 - mmengine - INFO - Epoch(train) [81][220/940] lr: 6.0000e-04 eta: 2:44:45 time: 0.5434 data_time: 0.1563 memory: 13609 grad_norm: 4.1089 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.2048 loss: 1.2048 2022/08/02 01:12:47 - mmengine - INFO - Epoch(train) [81][240/940] lr: 6.0000e-04 eta: 2:44:34 time: 0.5181 data_time: 0.0617 memory: 13609 grad_norm: 3.9650 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1662 loss: 1.1662 2022/08/02 01:13:00 - mmengine - INFO - Epoch(train) [81][260/940] lr: 6.0000e-04 eta: 2:44:24 time: 0.6450 data_time: 0.0332 memory: 13609 grad_norm: 4.1406 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1387 loss: 1.1387 2022/08/02 01:13:08 - mmengine - INFO - Epoch(train) [81][280/940] lr: 6.0000e-04 eta: 2:44:13 time: 0.4152 data_time: 0.0352 memory: 13609 grad_norm: 3.9540 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1901 loss: 1.1901 2022/08/02 01:13:20 - mmengine - INFO - Epoch(train) [81][300/940] lr: 6.0000e-04 eta: 2:44:02 time: 0.5889 data_time: 0.0323 memory: 13609 grad_norm: 4.1635 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2224 loss: 1.2224 2022/08/02 01:13:28 - mmengine - INFO - Epoch(train) [81][320/940] lr: 6.0000e-04 eta: 2:43:51 time: 0.4258 data_time: 0.0488 memory: 13609 grad_norm: 4.0622 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1830 loss: 1.1830 2022/08/02 01:13:39 - mmengine - INFO - Epoch(train) [81][340/940] lr: 6.0000e-04 eta: 2:43:41 time: 0.5379 data_time: 0.1004 memory: 13609 grad_norm: 4.0749 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2048 loss: 1.2048 2022/08/02 01:13:49 - mmengine - INFO - Epoch(train) [81][360/940] lr: 6.0000e-04 eta: 2:43:30 time: 0.5010 data_time: 0.1290 memory: 13609 grad_norm: 3.9628 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2283 loss: 1.2283 2022/08/02 01:14:00 - mmengine - INFO - Epoch(train) [81][380/940] lr: 6.0000e-04 eta: 2:43:19 time: 0.5479 data_time: 0.0556 memory: 13609 grad_norm: 4.1245 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2603 loss: 1.2603 2022/08/02 01:14:10 - mmengine - INFO - Epoch(train) [81][400/940] lr: 6.0000e-04 eta: 2:43:08 time: 0.5191 data_time: 0.0376 memory: 13609 grad_norm: 4.1642 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.1742 loss: 1.1742 2022/08/02 01:14:21 - mmengine - INFO - Epoch(train) [81][420/940] lr: 6.0000e-04 eta: 2:42:58 time: 0.5382 data_time: 0.0500 memory: 13609 grad_norm: 4.1028 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2800 loss: 1.2800 2022/08/02 01:14:32 - mmengine - INFO - Epoch(train) [81][440/940] lr: 6.0000e-04 eta: 2:42:47 time: 0.5398 data_time: 0.0514 memory: 13609 grad_norm: 4.0194 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1947 loss: 1.1947 2022/08/02 01:14:42 - mmengine - INFO - Epoch(train) [81][460/940] lr: 6.0000e-04 eta: 2:42:37 time: 0.5118 data_time: 0.0407 memory: 13609 grad_norm: 3.9844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2517 loss: 1.2517 2022/08/02 01:14:53 - mmengine - INFO - Epoch(train) [81][480/940] lr: 6.0000e-04 eta: 2:42:26 time: 0.5458 data_time: 0.0386 memory: 13609 grad_norm: 3.9785 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2021 loss: 1.2021 2022/08/02 01:15:03 - mmengine - INFO - Epoch(train) [81][500/940] lr: 6.0000e-04 eta: 2:42:15 time: 0.4952 data_time: 0.0323 memory: 13609 grad_norm: 4.1563 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3073 loss: 1.3073 2022/08/02 01:15:14 - mmengine - INFO - Epoch(train) [81][520/940] lr: 6.0000e-04 eta: 2:42:05 time: 0.5386 data_time: 0.0355 memory: 13609 grad_norm: 4.0596 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0399 loss: 1.0399 2022/08/02 01:15:24 - mmengine - INFO - Epoch(train) [81][540/940] lr: 6.0000e-04 eta: 2:41:54 time: 0.5123 data_time: 0.0389 memory: 13609 grad_norm: 4.0202 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2270 loss: 1.2270 2022/08/02 01:15:35 - mmengine - INFO - Epoch(train) [81][560/940] lr: 6.0000e-04 eta: 2:41:43 time: 0.5298 data_time: 0.0378 memory: 13609 grad_norm: 3.9097 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1902 loss: 1.1902 2022/08/02 01:15:45 - mmengine - INFO - Epoch(train) [81][580/940] lr: 6.0000e-04 eta: 2:41:32 time: 0.5204 data_time: 0.0362 memory: 13609 grad_norm: 4.0232 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2243 loss: 1.2243 2022/08/02 01:15:56 - mmengine - INFO - Epoch(train) [81][600/940] lr: 6.0000e-04 eta: 2:41:22 time: 0.5574 data_time: 0.0418 memory: 13609 grad_norm: 4.0298 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/08/02 01:16:06 - mmengine - INFO - Epoch(train) [81][620/940] lr: 6.0000e-04 eta: 2:41:11 time: 0.4972 data_time: 0.0445 memory: 13609 grad_norm: 4.1124 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2012 loss: 1.2012 2022/08/02 01:16:18 - mmengine - INFO - Epoch(train) [81][640/940] lr: 6.0000e-04 eta: 2:41:01 time: 0.6119 data_time: 0.0353 memory: 13609 grad_norm: 4.1355 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2074 loss: 1.2074 2022/08/02 01:16:28 - mmengine - INFO - Epoch(train) [81][660/940] lr: 6.0000e-04 eta: 2:40:50 time: 0.4554 data_time: 0.0383 memory: 13609 grad_norm: 4.0774 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2758 loss: 1.2758 2022/08/02 01:16:39 - mmengine - INFO - Epoch(train) [81][680/940] lr: 6.0000e-04 eta: 2:40:39 time: 0.5601 data_time: 0.0389 memory: 13609 grad_norm: 3.9321 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0819 loss: 1.0819 2022/08/02 01:16:49 - mmengine - INFO - Epoch(train) [81][700/940] lr: 6.0000e-04 eta: 2:40:29 time: 0.5220 data_time: 0.0370 memory: 13609 grad_norm: 4.1144 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3254 loss: 1.3254 2022/08/02 01:17:00 - mmengine - INFO - Epoch(train) [81][720/940] lr: 6.0000e-04 eta: 2:40:18 time: 0.5295 data_time: 0.0410 memory: 13609 grad_norm: 3.9968 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1015 loss: 1.1015 2022/08/02 01:17:10 - mmengine - INFO - Epoch(train) [81][740/940] lr: 6.0000e-04 eta: 2:40:07 time: 0.5243 data_time: 0.0353 memory: 13609 grad_norm: 4.0293 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2624 loss: 1.2624 2022/08/02 01:17:21 - mmengine - INFO - Epoch(train) [81][760/940] lr: 6.0000e-04 eta: 2:39:57 time: 0.5257 data_time: 0.0386 memory: 13609 grad_norm: 3.9834 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1757 loss: 1.1757 2022/08/02 01:17:32 - mmengine - INFO - Epoch(train) [81][780/940] lr: 6.0000e-04 eta: 2:39:46 time: 0.5499 data_time: 0.0358 memory: 13609 grad_norm: 4.1008 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1825 loss: 1.1825 2022/08/02 01:17:43 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:17:43 - mmengine - INFO - Epoch(train) [81][800/940] lr: 6.0000e-04 eta: 2:39:36 time: 0.5379 data_time: 0.0375 memory: 13609 grad_norm: 4.0590 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.2220 loss: 1.2220 2022/08/02 01:17:53 - mmengine - INFO - Epoch(train) [81][820/940] lr: 6.0000e-04 eta: 2:39:25 time: 0.5450 data_time: 0.0515 memory: 13609 grad_norm: 4.0061 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/08/02 01:18:04 - mmengine - INFO - Epoch(train) [81][840/940] lr: 6.0000e-04 eta: 2:39:14 time: 0.5228 data_time: 0.0380 memory: 13609 grad_norm: 3.9798 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2264 loss: 1.2264 2022/08/02 01:18:14 - mmengine - INFO - Epoch(train) [81][860/940] lr: 6.0000e-04 eta: 2:39:04 time: 0.5175 data_time: 0.0409 memory: 13609 grad_norm: 4.0192 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0797 loss: 1.0797 2022/08/02 01:18:23 - mmengine - INFO - Epoch(train) [81][880/940] lr: 6.0000e-04 eta: 2:38:53 time: 0.4570 data_time: 0.0412 memory: 13609 grad_norm: 3.9834 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0468 loss: 1.0468 2022/08/02 01:18:34 - mmengine - INFO - Epoch(train) [81][900/940] lr: 6.0000e-04 eta: 2:38:42 time: 0.5091 data_time: 0.0318 memory: 13609 grad_norm: 4.1681 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2439 loss: 1.2439 2022/08/02 01:18:44 - mmengine - INFO - Epoch(train) [81][920/940] lr: 6.0000e-04 eta: 2:38:31 time: 0.5156 data_time: 0.0416 memory: 13609 grad_norm: 4.0618 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2755 loss: 1.2755 2022/08/02 01:18:53 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:18:53 - mmengine - INFO - Epoch(train) [81][940/940] lr: 6.0000e-04 eta: 2:38:20 time: 0.4663 data_time: 0.0251 memory: 13609 grad_norm: 4.2772 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1512 loss: 1.1512 2022/08/02 01:18:53 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/02 01:20:41 - mmengine - INFO - Epoch(val) [81][20/78] eta: 0:05:07 time: 5.3009 data_time: 4.5480 memory: 19674 2022/08/02 01:21:54 - mmengine - INFO - Epoch(val) [81][40/78] eta: 0:02:18 time: 3.6351 data_time: 2.8701 memory: 19674 2022/08/02 01:23:30 - mmengine - INFO - Epoch(val) [81][60/78] eta: 0:01:26 time: 4.8122 data_time: 4.0692 memory: 19674 2022/08/02 01:24:40 - mmengine - INFO - Epoch(val) [81][78/78] acc/top1: 0.7074 acc/top5: 0.8951 acc/mean1: 0.7073 2022/08/02 01:24:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_66.pth is removed 2022/08/02 01:24:42 - mmengine - INFO - The best checkpoint with 0.7074 acc/top1 at 82 epoch is saved to best_acc/top1_epoch_82.pth. 2022/08/02 01:24:56 - mmengine - INFO - Epoch(train) [82][20/940] lr: 6.0000e-04 eta: 2:38:10 time: 0.6723 data_time: 0.3899 memory: 19674 grad_norm: 4.0696 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/08/02 01:25:06 - mmengine - INFO - Epoch(train) [82][40/940] lr: 6.0000e-04 eta: 2:37:59 time: 0.4996 data_time: 0.1984 memory: 13609 grad_norm: 4.0562 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1706 loss: 1.1706 2022/08/02 01:25:18 - mmengine - INFO - Epoch(train) [82][60/940] lr: 6.0000e-04 eta: 2:37:49 time: 0.6218 data_time: 0.3202 memory: 13609 grad_norm: 3.9750 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1617 loss: 1.1617 2022/08/02 01:25:28 - mmengine - INFO - Epoch(train) [82][80/940] lr: 6.0000e-04 eta: 2:37:38 time: 0.4604 data_time: 0.1664 memory: 13609 grad_norm: 4.0773 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0933 loss: 1.0933 2022/08/02 01:25:38 - mmengine - INFO - Epoch(train) [82][100/940] lr: 6.0000e-04 eta: 2:37:27 time: 0.5102 data_time: 0.2030 memory: 13609 grad_norm: 4.1274 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1806 loss: 1.1806 2022/08/02 01:25:48 - mmengine - INFO - Epoch(train) [82][120/940] lr: 6.0000e-04 eta: 2:37:17 time: 0.4882 data_time: 0.1414 memory: 13609 grad_norm: 4.0865 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2081 loss: 1.2081 2022/08/02 01:25:59 - mmengine - INFO - Epoch(train) [82][140/940] lr: 6.0000e-04 eta: 2:37:06 time: 0.5678 data_time: 0.2027 memory: 13609 grad_norm: 3.9984 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1275 loss: 1.1275 2022/08/02 01:26:08 - mmengine - INFO - Epoch(train) [82][160/940] lr: 6.0000e-04 eta: 2:36:55 time: 0.4515 data_time: 0.1142 memory: 13609 grad_norm: 4.0707 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1907 loss: 1.1907 2022/08/02 01:26:20 - mmengine - INFO - Epoch(train) [82][180/940] lr: 6.0000e-04 eta: 2:36:45 time: 0.5812 data_time: 0.2320 memory: 13609 grad_norm: 3.9890 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/02 01:26:30 - mmengine - INFO - Epoch(train) [82][200/940] lr: 6.0000e-04 eta: 2:36:34 time: 0.5185 data_time: 0.1611 memory: 13609 grad_norm: 3.9516 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1384 loss: 1.1384 2022/08/02 01:26:42 - mmengine - INFO - Epoch(train) [82][220/940] lr: 6.0000e-04 eta: 2:36:24 time: 0.5786 data_time: 0.0762 memory: 13609 grad_norm: 4.0005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2902 loss: 1.2902 2022/08/02 01:26:51 - mmengine - INFO - Epoch(train) [82][240/940] lr: 6.0000e-04 eta: 2:36:13 time: 0.4908 data_time: 0.1424 memory: 13609 grad_norm: 3.9945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1180 loss: 1.1180 2022/08/02 01:27:02 - mmengine - INFO - Epoch(train) [82][260/940] lr: 6.0000e-04 eta: 2:36:02 time: 0.5553 data_time: 0.1061 memory: 13609 grad_norm: 3.9533 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/08/02 01:27:12 - mmengine - INFO - Epoch(train) [82][280/940] lr: 6.0000e-04 eta: 2:35:51 time: 0.4757 data_time: 0.1443 memory: 13609 grad_norm: 4.0423 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0293 loss: 1.0293 2022/08/02 01:27:23 - mmengine - INFO - Epoch(train) [82][300/940] lr: 6.0000e-04 eta: 2:35:41 time: 0.5666 data_time: 0.2347 memory: 13609 grad_norm: 4.0077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2443 loss: 1.2443 2022/08/02 01:27:33 - mmengine - INFO - Epoch(train) [82][320/940] lr: 6.0000e-04 eta: 2:35:30 time: 0.4653 data_time: 0.1398 memory: 13609 grad_norm: 4.1079 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1806 loss: 1.1806 2022/08/02 01:27:44 - mmengine - INFO - Epoch(train) [82][340/940] lr: 6.0000e-04 eta: 2:35:19 time: 0.5853 data_time: 0.2595 memory: 13609 grad_norm: 4.0238 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0730 loss: 1.0730 2022/08/02 01:27:54 - mmengine - INFO - Epoch(train) [82][360/940] lr: 6.0000e-04 eta: 2:35:09 time: 0.5041 data_time: 0.2037 memory: 13609 grad_norm: 4.0698 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1945 loss: 1.1945 2022/08/02 01:28:06 - mmengine - INFO - Epoch(train) [82][380/940] lr: 6.0000e-04 eta: 2:34:58 time: 0.5660 data_time: 0.2006 memory: 13609 grad_norm: 3.9915 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2266 loss: 1.2266 2022/08/02 01:28:15 - mmengine - INFO - Epoch(train) [82][400/940] lr: 6.0000e-04 eta: 2:34:47 time: 0.4569 data_time: 0.1270 memory: 13609 grad_norm: 4.1581 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0713 loss: 1.0713 2022/08/02 01:28:26 - mmengine - INFO - Epoch(train) [82][420/940] lr: 6.0000e-04 eta: 2:34:37 time: 0.5336 data_time: 0.1508 memory: 13609 grad_norm: 4.0239 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2289 loss: 1.2289 2022/08/02 01:28:37 - mmengine - INFO - Epoch(train) [82][440/940] lr: 6.0000e-04 eta: 2:34:26 time: 0.5526 data_time: 0.0740 memory: 13609 grad_norm: 4.0907 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1782 loss: 1.1782 2022/08/02 01:28:48 - mmengine - INFO - Epoch(train) [82][460/940] lr: 6.0000e-04 eta: 2:34:16 time: 0.5536 data_time: 0.0672 memory: 13609 grad_norm: 4.0000 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1615 loss: 1.1615 2022/08/02 01:28:58 - mmengine - INFO - Epoch(train) [82][480/940] lr: 6.0000e-04 eta: 2:34:05 time: 0.4892 data_time: 0.0373 memory: 13609 grad_norm: 4.1130 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.1008 loss: 1.1008 2022/08/02 01:29:08 - mmengine - INFO - Epoch(train) [82][500/940] lr: 6.0000e-04 eta: 2:33:54 time: 0.5211 data_time: 0.0484 memory: 13609 grad_norm: 4.0623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1453 loss: 1.1453 2022/08/02 01:29:19 - mmengine - INFO - Epoch(train) [82][520/940] lr: 6.0000e-04 eta: 2:33:43 time: 0.5327 data_time: 0.0552 memory: 13609 grad_norm: 4.0790 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1403 loss: 1.1403 2022/08/02 01:29:29 - mmengine - INFO - Epoch(train) [82][540/940] lr: 6.0000e-04 eta: 2:33:33 time: 0.5289 data_time: 0.0519 memory: 13609 grad_norm: 4.0193 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2339 loss: 1.2339 2022/08/02 01:29:39 - mmengine - INFO - Epoch(train) [82][560/940] lr: 6.0000e-04 eta: 2:33:22 time: 0.5028 data_time: 0.0485 memory: 13609 grad_norm: 4.0706 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2972 loss: 1.2972 2022/08/02 01:29:50 - mmengine - INFO - Epoch(train) [82][580/940] lr: 6.0000e-04 eta: 2:33:11 time: 0.5342 data_time: 0.0298 memory: 13609 grad_norm: 4.0446 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1397 loss: 1.1397 2022/08/02 01:30:00 - mmengine - INFO - Epoch(train) [82][600/940] lr: 6.0000e-04 eta: 2:33:01 time: 0.5038 data_time: 0.0468 memory: 13609 grad_norm: 4.0980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1226 loss: 1.1226 2022/08/02 01:30:12 - mmengine - INFO - Epoch(train) [82][620/940] lr: 6.0000e-04 eta: 2:32:50 time: 0.5998 data_time: 0.0347 memory: 13609 grad_norm: 4.0125 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/08/02 01:30:21 - mmengine - INFO - Epoch(train) [82][640/940] lr: 6.0000e-04 eta: 2:32:39 time: 0.4266 data_time: 0.0356 memory: 13609 grad_norm: 4.0325 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1899 loss: 1.1899 2022/08/02 01:30:32 - mmengine - INFO - Epoch(train) [82][660/940] lr: 6.0000e-04 eta: 2:32:29 time: 0.5625 data_time: 0.0335 memory: 13609 grad_norm: 4.0692 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2489 loss: 1.2489 2022/08/02 01:30:42 - mmengine - INFO - Epoch(train) [82][680/940] lr: 6.0000e-04 eta: 2:32:18 time: 0.4933 data_time: 0.0397 memory: 13609 grad_norm: 4.1017 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2277 loss: 1.2277 2022/08/02 01:30:53 - mmengine - INFO - Epoch(train) [82][700/940] lr: 6.0000e-04 eta: 2:32:07 time: 0.5744 data_time: 0.0413 memory: 13609 grad_norm: 4.0002 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2155 loss: 1.2155 2022/08/02 01:31:03 - mmengine - INFO - Epoch(train) [82][720/940] lr: 6.0000e-04 eta: 2:31:57 time: 0.5101 data_time: 0.0415 memory: 13609 grad_norm: 4.0752 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1735 loss: 1.1735 2022/08/02 01:31:14 - mmengine - INFO - Epoch(train) [82][740/940] lr: 6.0000e-04 eta: 2:31:46 time: 0.5252 data_time: 0.0455 memory: 13609 grad_norm: 4.0838 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/08/02 01:31:24 - mmengine - INFO - Epoch(train) [82][760/940] lr: 6.0000e-04 eta: 2:31:35 time: 0.4926 data_time: 0.0373 memory: 13609 grad_norm: 4.1002 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1581 loss: 1.1581 2022/08/02 01:31:34 - mmengine - INFO - Epoch(train) [82][780/940] lr: 6.0000e-04 eta: 2:31:24 time: 0.5129 data_time: 0.0364 memory: 13609 grad_norm: 4.0267 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1695 loss: 1.1695 2022/08/02 01:31:45 - mmengine - INFO - Epoch(train) [82][800/940] lr: 6.0000e-04 eta: 2:31:14 time: 0.5380 data_time: 0.0397 memory: 13609 grad_norm: 4.1524 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1977 loss: 1.1977 2022/08/02 01:31:55 - mmengine - INFO - Epoch(train) [82][820/940] lr: 6.0000e-04 eta: 2:31:03 time: 0.5234 data_time: 0.0447 memory: 13609 grad_norm: 4.0185 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1597 loss: 1.1597 2022/08/02 01:32:06 - mmengine - INFO - Epoch(train) [82][840/940] lr: 6.0000e-04 eta: 2:30:53 time: 0.5588 data_time: 0.0453 memory: 13609 grad_norm: 4.1478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2846 loss: 1.2846 2022/08/02 01:32:16 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:32:16 - mmengine - INFO - Epoch(train) [82][860/940] lr: 6.0000e-04 eta: 2:30:42 time: 0.4910 data_time: 0.0353 memory: 13609 grad_norm: 4.0946 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1620 loss: 1.1620 2022/08/02 01:32:28 - mmengine - INFO - Epoch(train) [82][880/940] lr: 6.0000e-04 eta: 2:30:31 time: 0.5851 data_time: 0.0375 memory: 13609 grad_norm: 4.0598 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2081 loss: 1.2081 2022/08/02 01:32:38 - mmengine - INFO - Epoch(train) [82][900/940] lr: 6.0000e-04 eta: 2:30:21 time: 0.4884 data_time: 0.0461 memory: 13609 grad_norm: 4.0399 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1541 loss: 1.1541 2022/08/02 01:32:48 - mmengine - INFO - Epoch(train) [82][920/940] lr: 6.0000e-04 eta: 2:30:10 time: 0.4988 data_time: 0.0395 memory: 13609 grad_norm: 3.9821 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2089 loss: 1.2089 2022/08/02 01:32:57 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:32:57 - mmengine - INFO - Epoch(train) [82][940/940] lr: 6.0000e-04 eta: 2:29:59 time: 0.4659 data_time: 0.0427 memory: 13609 grad_norm: 4.2320 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0798 loss: 1.0798 2022/08/02 01:34:43 - mmengine - INFO - Epoch(val) [82][20/78] eta: 0:05:05 time: 5.2696 data_time: 4.4889 memory: 19674 2022/08/02 01:35:55 - mmengine - INFO - Epoch(val) [82][40/78] eta: 0:02:17 time: 3.6150 data_time: 2.8389 memory: 19674 2022/08/02 01:37:31 - mmengine - INFO - Epoch(val) [82][60/78] eta: 0:01:26 time: 4.7974 data_time: 4.0197 memory: 19674 2022/08/02 01:38:45 - mmengine - INFO - Epoch(val) [82][78/78] acc/top1: 0.7105 acc/top5: 0.8957 acc/mean1: 0.7104 2022/08/02 01:38:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_82.pth is removed 2022/08/02 01:38:46 - mmengine - INFO - The best checkpoint with 0.7105 acc/top1 at 83 epoch is saved to best_acc/top1_epoch_83.pth. 2022/08/02 01:39:00 - mmengine - INFO - Epoch(train) [83][20/940] lr: 6.0000e-04 eta: 2:29:49 time: 0.6918 data_time: 0.3975 memory: 19674 grad_norm: 4.0758 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0683 loss: 1.0683 2022/08/02 01:39:10 - mmengine - INFO - Epoch(train) [83][40/940] lr: 6.0000e-04 eta: 2:29:38 time: 0.4600 data_time: 0.1618 memory: 13609 grad_norm: 4.1237 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3133 loss: 1.3133 2022/08/02 01:39:21 - mmengine - INFO - Epoch(train) [83][60/940] lr: 6.0000e-04 eta: 2:29:28 time: 0.5858 data_time: 0.1491 memory: 13609 grad_norm: 3.9085 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1893 loss: 1.1893 2022/08/02 01:39:32 - mmengine - INFO - Epoch(train) [83][80/940] lr: 6.0000e-04 eta: 2:29:17 time: 0.5197 data_time: 0.1021 memory: 13609 grad_norm: 4.1245 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1798 loss: 1.1798 2022/08/02 01:39:42 - mmengine - INFO - Epoch(train) [83][100/940] lr: 6.0000e-04 eta: 2:29:06 time: 0.5268 data_time: 0.0592 memory: 13609 grad_norm: 4.0435 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2626 loss: 1.2626 2022/08/02 01:39:52 - mmengine - INFO - Epoch(train) [83][120/940] lr: 6.0000e-04 eta: 2:28:55 time: 0.5120 data_time: 0.0698 memory: 13609 grad_norm: 4.0319 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1029 loss: 1.1029 2022/08/02 01:40:04 - mmengine - INFO - Epoch(train) [83][140/940] lr: 6.0000e-04 eta: 2:28:45 time: 0.5829 data_time: 0.0362 memory: 13609 grad_norm: 4.0803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9987 loss: 0.9987 2022/08/02 01:40:14 - mmengine - INFO - Epoch(train) [83][160/940] lr: 6.0000e-04 eta: 2:28:34 time: 0.4787 data_time: 0.0305 memory: 13609 grad_norm: 4.1121 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1459 loss: 1.1459 2022/08/02 01:40:24 - mmengine - INFO - Epoch(train) [83][180/940] lr: 6.0000e-04 eta: 2:28:23 time: 0.5154 data_time: 0.0371 memory: 13609 grad_norm: 4.1499 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.1468 loss: 1.1468 2022/08/02 01:40:34 - mmengine - INFO - Epoch(train) [83][200/940] lr: 6.0000e-04 eta: 2:28:13 time: 0.5084 data_time: 0.0343 memory: 13609 grad_norm: 4.0626 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1570 loss: 1.1570 2022/08/02 01:40:45 - mmengine - INFO - Epoch(train) [83][220/940] lr: 6.0000e-04 eta: 2:28:02 time: 0.5625 data_time: 0.0388 memory: 13609 grad_norm: 4.0862 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1773 loss: 1.1773 2022/08/02 01:40:55 - mmengine - INFO - Epoch(train) [83][240/940] lr: 6.0000e-04 eta: 2:27:51 time: 0.5014 data_time: 0.0373 memory: 13609 grad_norm: 4.0976 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1563 loss: 1.1563 2022/08/02 01:41:08 - mmengine - INFO - Epoch(train) [83][260/940] lr: 6.0000e-04 eta: 2:27:41 time: 0.6003 data_time: 0.0398 memory: 13609 grad_norm: 4.0704 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0627 loss: 1.0627 2022/08/02 01:41:17 - mmengine - INFO - Epoch(train) [83][280/940] lr: 6.0000e-04 eta: 2:27:30 time: 0.4770 data_time: 0.0423 memory: 13609 grad_norm: 4.0570 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0675 loss: 1.0675 2022/08/02 01:41:28 - mmengine - INFO - Epoch(train) [83][300/940] lr: 6.0000e-04 eta: 2:27:20 time: 0.5602 data_time: 0.0433 memory: 13609 grad_norm: 4.1093 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2349 loss: 1.2349 2022/08/02 01:41:38 - mmengine - INFO - Epoch(train) [83][320/940] lr: 6.0000e-04 eta: 2:27:09 time: 0.5068 data_time: 0.0422 memory: 13609 grad_norm: 4.0285 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1266 loss: 1.1266 2022/08/02 01:41:49 - mmengine - INFO - Epoch(train) [83][340/940] lr: 6.0000e-04 eta: 2:26:58 time: 0.5242 data_time: 0.0327 memory: 13609 grad_norm: 4.0757 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1750 loss: 1.1750 2022/08/02 01:41:58 - mmengine - INFO - Epoch(train) [83][360/940] lr: 6.0000e-04 eta: 2:26:47 time: 0.4795 data_time: 0.0389 memory: 13609 grad_norm: 4.1679 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.2083 loss: 1.2083 2022/08/02 01:42:10 - mmengine - INFO - Epoch(train) [83][380/940] lr: 6.0000e-04 eta: 2:26:37 time: 0.5651 data_time: 0.0420 memory: 13609 grad_norm: 4.1688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/08/02 01:42:20 - mmengine - INFO - Epoch(train) [83][400/940] lr: 6.0000e-04 eta: 2:26:26 time: 0.5095 data_time: 0.0701 memory: 13609 grad_norm: 4.1439 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.1930 loss: 1.1930 2022/08/02 01:42:31 - mmengine - INFO - Epoch(train) [83][420/940] lr: 6.0000e-04 eta: 2:26:16 time: 0.5643 data_time: 0.0618 memory: 13609 grad_norm: 4.0825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1664 loss: 1.1664 2022/08/02 01:42:41 - mmengine - INFO - Epoch(train) [83][440/940] lr: 6.0000e-04 eta: 2:26:05 time: 0.4613 data_time: 0.0455 memory: 13609 grad_norm: 4.0857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2089 loss: 1.2089 2022/08/02 01:42:52 - mmengine - INFO - Epoch(train) [83][460/940] lr: 6.0000e-04 eta: 2:25:54 time: 0.5752 data_time: 0.0527 memory: 13609 grad_norm: 4.0412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/08/02 01:43:01 - mmengine - INFO - Epoch(train) [83][480/940] lr: 6.0000e-04 eta: 2:25:43 time: 0.4713 data_time: 0.0292 memory: 13609 grad_norm: 4.0012 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9962 loss: 0.9962 2022/08/02 01:43:13 - mmengine - INFO - Epoch(train) [83][500/940] lr: 6.0000e-04 eta: 2:25:33 time: 0.5866 data_time: 0.0357 memory: 13609 grad_norm: 4.1918 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0903 loss: 1.0903 2022/08/02 01:43:23 - mmengine - INFO - Epoch(train) [83][520/940] lr: 6.0000e-04 eta: 2:25:22 time: 0.4970 data_time: 0.0372 memory: 13609 grad_norm: 4.1067 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2072 loss: 1.2072 2022/08/02 01:43:34 - mmengine - INFO - Epoch(train) [83][540/940] lr: 6.0000e-04 eta: 2:25:12 time: 0.5412 data_time: 0.0971 memory: 13609 grad_norm: 3.9704 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0725 loss: 1.0725 2022/08/02 01:43:43 - mmengine - INFO - Epoch(train) [83][560/940] lr: 6.0000e-04 eta: 2:25:01 time: 0.4645 data_time: 0.1507 memory: 13609 grad_norm: 4.1063 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1558 loss: 1.1558 2022/08/02 01:43:54 - mmengine - INFO - Epoch(train) [83][580/940] lr: 6.0000e-04 eta: 2:24:50 time: 0.5471 data_time: 0.2138 memory: 13609 grad_norm: 4.1212 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1252 loss: 1.1252 2022/08/02 01:44:04 - mmengine - INFO - Epoch(train) [83][600/940] lr: 6.0000e-04 eta: 2:24:39 time: 0.4858 data_time: 0.1643 memory: 13609 grad_norm: 4.0355 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0921 loss: 1.0921 2022/08/02 01:44:16 - mmengine - INFO - Epoch(train) [83][620/940] lr: 6.0000e-04 eta: 2:24:29 time: 0.5817 data_time: 0.1974 memory: 13609 grad_norm: 4.0334 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1909 loss: 1.1909 2022/08/02 01:44:25 - mmengine - INFO - Epoch(train) [83][640/940] lr: 6.0000e-04 eta: 2:24:18 time: 0.4924 data_time: 0.1094 memory: 13609 grad_norm: 4.0713 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1537 loss: 1.1537 2022/08/02 01:44:37 - mmengine - INFO - Epoch(train) [83][660/940] lr: 6.0000e-04 eta: 2:24:08 time: 0.5917 data_time: 0.1004 memory: 13609 grad_norm: 4.1004 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0947 loss: 1.0947 2022/08/02 01:44:47 - mmengine - INFO - Epoch(train) [83][680/940] lr: 6.0000e-04 eta: 2:23:57 time: 0.4857 data_time: 0.0659 memory: 13609 grad_norm: 4.2253 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2614 loss: 1.2614 2022/08/02 01:44:59 - mmengine - INFO - Epoch(train) [83][700/940] lr: 6.0000e-04 eta: 2:23:46 time: 0.5884 data_time: 0.0855 memory: 13609 grad_norm: 4.0601 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1041 loss: 1.1041 2022/08/02 01:45:09 - mmengine - INFO - Epoch(train) [83][720/940] lr: 6.0000e-04 eta: 2:23:36 time: 0.4881 data_time: 0.0564 memory: 13609 grad_norm: 3.9728 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9967 loss: 0.9967 2022/08/02 01:45:20 - mmengine - INFO - Epoch(train) [83][740/940] lr: 6.0000e-04 eta: 2:23:25 time: 0.5630 data_time: 0.0387 memory: 13609 grad_norm: 4.0772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/08/02 01:45:29 - mmengine - INFO - Epoch(train) [83][760/940] lr: 6.0000e-04 eta: 2:23:14 time: 0.4517 data_time: 0.0717 memory: 13609 grad_norm: 4.1514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0813 loss: 1.0813 2022/08/02 01:45:41 - mmengine - INFO - Epoch(train) [83][780/940] lr: 6.0000e-04 eta: 2:23:04 time: 0.5960 data_time: 0.0885 memory: 13609 grad_norm: 4.1634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1650 loss: 1.1650 2022/08/02 01:45:51 - mmengine - INFO - Epoch(train) [83][800/940] lr: 6.0000e-04 eta: 2:22:53 time: 0.4957 data_time: 0.0358 memory: 13609 grad_norm: 4.0594 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1160 loss: 1.1160 2022/08/02 01:46:02 - mmengine - INFO - Epoch(train) [83][820/940] lr: 6.0000e-04 eta: 2:22:43 time: 0.5827 data_time: 0.0403 memory: 13609 grad_norm: 3.9689 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.1890 loss: 1.1890 2022/08/02 01:46:12 - mmengine - INFO - Epoch(train) [83][840/940] lr: 6.0000e-04 eta: 2:22:32 time: 0.4998 data_time: 0.0351 memory: 13609 grad_norm: 4.0725 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0713 loss: 1.0713 2022/08/02 01:46:23 - mmengine - INFO - Epoch(train) [83][860/940] lr: 6.0000e-04 eta: 2:22:21 time: 0.5536 data_time: 0.0425 memory: 13609 grad_norm: 4.2005 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2684 loss: 1.2684 2022/08/02 01:46:33 - mmengine - INFO - Epoch(train) [83][880/940] lr: 6.0000e-04 eta: 2:22:10 time: 0.4785 data_time: 0.0413 memory: 13609 grad_norm: 4.1318 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0737 loss: 1.0737 2022/08/02 01:46:44 - mmengine - INFO - Epoch(train) [83][900/940] lr: 6.0000e-04 eta: 2:22:00 time: 0.5428 data_time: 0.0421 memory: 13609 grad_norm: 4.0841 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1243 loss: 1.1243 2022/08/02 01:46:54 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:46:54 - mmengine - INFO - Epoch(train) [83][920/940] lr: 6.0000e-04 eta: 2:21:49 time: 0.4930 data_time: 0.0374 memory: 13609 grad_norm: 4.1446 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/08/02 01:47:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 01:47:03 - mmengine - INFO - Epoch(train) [83][940/940] lr: 6.0000e-04 eta: 2:21:38 time: 0.4774 data_time: 0.0262 memory: 13609 grad_norm: 4.2069 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1707 loss: 1.1707 2022/08/02 01:48:50 - mmengine - INFO - Epoch(val) [83][20/78] eta: 0:05:09 time: 5.3370 data_time: 4.5590 memory: 19674 2022/08/02 01:50:03 - mmengine - INFO - Epoch(val) [83][40/78] eta: 0:02:18 time: 3.6398 data_time: 2.8597 memory: 19674 2022/08/02 01:51:39 - mmengine - INFO - Epoch(val) [83][60/78] eta: 0:01:26 time: 4.8110 data_time: 4.0531 memory: 19674 2022/08/02 01:52:50 - mmengine - INFO - Epoch(val) [83][78/78] acc/top1: 0.7104 acc/top5: 0.8948 acc/mean1: 0.7103 2022/08/02 01:53:04 - mmengine - INFO - Epoch(train) [84][20/940] lr: 6.0000e-04 eta: 2:21:28 time: 0.6926 data_time: 0.3028 memory: 19674 grad_norm: 4.1068 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2204 loss: 1.2204 2022/08/02 01:53:14 - mmengine - INFO - Epoch(train) [84][40/940] lr: 6.0000e-04 eta: 2:21:17 time: 0.5042 data_time: 0.0376 memory: 13609 grad_norm: 4.1031 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1351 loss: 1.1351 2022/08/02 01:53:26 - mmengine - INFO - Epoch(train) [84][60/940] lr: 6.0000e-04 eta: 2:21:07 time: 0.5904 data_time: 0.0381 memory: 13609 grad_norm: 4.1080 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1139 loss: 1.1139 2022/08/02 01:53:35 - mmengine - INFO - Epoch(train) [84][80/940] lr: 6.0000e-04 eta: 2:20:56 time: 0.4477 data_time: 0.0474 memory: 13609 grad_norm: 3.9844 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.1904 loss: 1.1904 2022/08/02 01:53:46 - mmengine - INFO - Epoch(train) [84][100/940] lr: 6.0000e-04 eta: 2:20:46 time: 0.5699 data_time: 0.0349 memory: 13609 grad_norm: 4.0171 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0931 loss: 1.0931 2022/08/02 01:53:56 - mmengine - INFO - Epoch(train) [84][120/940] lr: 6.0000e-04 eta: 2:20:35 time: 0.4852 data_time: 0.0315 memory: 13609 grad_norm: 4.0560 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0270 loss: 1.0270 2022/08/02 01:54:08 - mmengine - INFO - Epoch(train) [84][140/940] lr: 6.0000e-04 eta: 2:20:24 time: 0.5749 data_time: 0.0392 memory: 13609 grad_norm: 4.1165 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.1688 loss: 1.1688 2022/08/02 01:54:18 - mmengine - INFO - Epoch(train) [84][160/940] lr: 6.0000e-04 eta: 2:20:14 time: 0.5276 data_time: 0.0307 memory: 13609 grad_norm: 4.1049 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1854 loss: 1.1854 2022/08/02 01:54:29 - mmengine - INFO - Epoch(train) [84][180/940] lr: 6.0000e-04 eta: 2:20:03 time: 0.5227 data_time: 0.0418 memory: 13609 grad_norm: 4.0722 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1200 loss: 1.1200 2022/08/02 01:54:39 - mmengine - INFO - Epoch(train) [84][200/940] lr: 6.0000e-04 eta: 2:19:52 time: 0.5250 data_time: 0.0385 memory: 13609 grad_norm: 4.0929 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1059 loss: 1.1059 2022/08/02 01:54:49 - mmengine - INFO - Epoch(train) [84][220/940] lr: 6.0000e-04 eta: 2:19:42 time: 0.4978 data_time: 0.0366 memory: 13609 grad_norm: 4.0131 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0973 loss: 1.0973 2022/08/02 01:54:59 - mmengine - INFO - Epoch(train) [84][240/940] lr: 6.0000e-04 eta: 2:19:31 time: 0.5015 data_time: 0.0499 memory: 13609 grad_norm: 4.0193 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0891 loss: 1.0891 2022/08/02 01:55:11 - mmengine - INFO - Epoch(train) [84][260/940] lr: 6.0000e-04 eta: 2:19:20 time: 0.6087 data_time: 0.0396 memory: 13609 grad_norm: 3.9842 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1143 loss: 1.1143 2022/08/02 01:55:21 - mmengine - INFO - Epoch(train) [84][280/940] lr: 6.0000e-04 eta: 2:19:10 time: 0.4833 data_time: 0.0360 memory: 13609 grad_norm: 4.1242 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0527 loss: 1.0527 2022/08/02 01:55:32 - mmengine - INFO - Epoch(train) [84][300/940] lr: 6.0000e-04 eta: 2:18:59 time: 0.5756 data_time: 0.0503 memory: 13609 grad_norm: 3.9836 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0687 loss: 1.0687 2022/08/02 01:55:42 - mmengine - INFO - Epoch(train) [84][320/940] lr: 6.0000e-04 eta: 2:18:48 time: 0.4921 data_time: 0.0407 memory: 13609 grad_norm: 4.0910 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0797 loss: 1.0797 2022/08/02 01:55:55 - mmengine - INFO - Epoch(train) [84][340/940] lr: 6.0000e-04 eta: 2:18:38 time: 0.6263 data_time: 0.0356 memory: 13609 grad_norm: 4.0006 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1878 loss: 1.1878 2022/08/02 01:56:03 - mmengine - INFO - Epoch(train) [84][360/940] lr: 6.0000e-04 eta: 2:18:27 time: 0.4251 data_time: 0.0412 memory: 13609 grad_norm: 4.0756 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1439 loss: 1.1439 2022/08/02 01:56:15 - mmengine - INFO - Epoch(train) [84][380/940] lr: 6.0000e-04 eta: 2:18:17 time: 0.5850 data_time: 0.0359 memory: 13609 grad_norm: 4.1251 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.1967 loss: 1.1967 2022/08/02 01:56:24 - mmengine - INFO - Epoch(train) [84][400/940] lr: 6.0000e-04 eta: 2:18:06 time: 0.4661 data_time: 0.0356 memory: 13609 grad_norm: 4.1902 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/08/02 01:56:35 - mmengine - INFO - Epoch(train) [84][420/940] lr: 6.0000e-04 eta: 2:17:55 time: 0.5273 data_time: 0.0441 memory: 13609 grad_norm: 4.1947 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1575 loss: 1.1575 2022/08/02 01:56:45 - mmengine - INFO - Epoch(train) [84][440/940] lr: 6.0000e-04 eta: 2:17:44 time: 0.4877 data_time: 0.0333 memory: 13609 grad_norm: 4.1209 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2617 loss: 1.2617 2022/08/02 01:56:56 - mmengine - INFO - Epoch(train) [84][460/940] lr: 6.0000e-04 eta: 2:17:34 time: 0.5792 data_time: 0.0457 memory: 13609 grad_norm: 4.0926 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/08/02 01:57:06 - mmengine - INFO - Epoch(train) [84][480/940] lr: 6.0000e-04 eta: 2:17:23 time: 0.4600 data_time: 0.0556 memory: 13609 grad_norm: 3.9712 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1087 loss: 1.1087 2022/08/02 01:57:17 - mmengine - INFO - Epoch(train) [84][500/940] lr: 6.0000e-04 eta: 2:17:12 time: 0.5491 data_time: 0.0374 memory: 13609 grad_norm: 4.0530 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2003 loss: 1.2003 2022/08/02 01:57:26 - mmengine - INFO - Epoch(train) [84][520/940] lr: 6.0000e-04 eta: 2:17:01 time: 0.4807 data_time: 0.0343 memory: 13609 grad_norm: 4.1358 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1909 loss: 1.1909 2022/08/02 01:57:38 - mmengine - INFO - Epoch(train) [84][540/940] lr: 6.0000e-04 eta: 2:16:51 time: 0.5808 data_time: 0.0757 memory: 13609 grad_norm: 4.1862 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1178 loss: 1.1178 2022/08/02 01:57:47 - mmengine - INFO - Epoch(train) [84][560/940] lr: 6.0000e-04 eta: 2:16:40 time: 0.4843 data_time: 0.0682 memory: 13609 grad_norm: 4.1113 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1341 loss: 1.1341 2022/08/02 01:57:59 - mmengine - INFO - Epoch(train) [84][580/940] lr: 6.0000e-04 eta: 2:16:30 time: 0.5741 data_time: 0.1039 memory: 13609 grad_norm: 4.1286 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1878 loss: 1.1878 2022/08/02 01:58:09 - mmengine - INFO - Epoch(train) [84][600/940] lr: 6.0000e-04 eta: 2:16:19 time: 0.4843 data_time: 0.1313 memory: 13609 grad_norm: 3.9758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2500 loss: 1.2500 2022/08/02 01:58:20 - mmengine - INFO - Epoch(train) [84][620/940] lr: 6.0000e-04 eta: 2:16:08 time: 0.5579 data_time: 0.0619 memory: 13609 grad_norm: 4.1520 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1112 loss: 1.1112 2022/08/02 01:58:29 - mmengine - INFO - Epoch(train) [84][640/940] lr: 6.0000e-04 eta: 2:15:57 time: 0.4728 data_time: 0.0845 memory: 13609 grad_norm: 4.1339 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1243 loss: 1.1243 2022/08/02 01:58:40 - mmengine - INFO - Epoch(train) [84][660/940] lr: 6.0000e-04 eta: 2:15:47 time: 0.5559 data_time: 0.0627 memory: 13609 grad_norm: 4.1355 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0964 loss: 1.0964 2022/08/02 01:58:53 - mmengine - INFO - Epoch(train) [84][680/940] lr: 6.0000e-04 eta: 2:15:37 time: 0.6127 data_time: 0.1550 memory: 13609 grad_norm: 3.9844 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1182 loss: 1.1182 2022/08/02 01:59:03 - mmengine - INFO - Epoch(train) [84][700/940] lr: 6.0000e-04 eta: 2:15:26 time: 0.4955 data_time: 0.1742 memory: 13609 grad_norm: 4.0811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0640 loss: 1.0640 2022/08/02 01:59:12 - mmengine - INFO - Epoch(train) [84][720/940] lr: 6.0000e-04 eta: 2:15:15 time: 0.4874 data_time: 0.1669 memory: 13609 grad_norm: 4.1834 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1410 loss: 1.1410 2022/08/02 01:59:23 - mmengine - INFO - Epoch(train) [84][740/940] lr: 6.0000e-04 eta: 2:15:04 time: 0.5365 data_time: 0.2281 memory: 13609 grad_norm: 4.1000 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2226 loss: 1.2226 2022/08/02 01:59:33 - mmengine - INFO - Epoch(train) [84][760/940] lr: 6.0000e-04 eta: 2:14:54 time: 0.5161 data_time: 0.2164 memory: 13609 grad_norm: 4.1437 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1350 loss: 1.1350 2022/08/02 01:59:44 - mmengine - INFO - Epoch(train) [84][780/940] lr: 6.0000e-04 eta: 2:14:43 time: 0.5288 data_time: 0.2238 memory: 13609 grad_norm: 4.0314 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9953 loss: 0.9953 2022/08/02 01:59:54 - mmengine - INFO - Epoch(train) [84][800/940] lr: 6.0000e-04 eta: 2:14:32 time: 0.5055 data_time: 0.1611 memory: 13609 grad_norm: 4.1641 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1734 loss: 1.1734 2022/08/02 02:00:05 - mmengine - INFO - Epoch(train) [84][820/940] lr: 6.0000e-04 eta: 2:14:22 time: 0.5268 data_time: 0.1732 memory: 13609 grad_norm: 4.0275 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0671 loss: 1.0671 2022/08/02 02:00:17 - mmengine - INFO - Epoch(train) [84][840/940] lr: 6.0000e-04 eta: 2:14:11 time: 0.6154 data_time: 0.1162 memory: 13609 grad_norm: 4.1432 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1167 loss: 1.1167 2022/08/02 02:00:26 - mmengine - INFO - Epoch(train) [84][860/940] lr: 6.0000e-04 eta: 2:14:01 time: 0.4739 data_time: 0.1506 memory: 13609 grad_norm: 4.0437 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/08/02 02:00:36 - mmengine - INFO - Epoch(train) [84][880/940] lr: 6.0000e-04 eta: 2:13:50 time: 0.4811 data_time: 0.1617 memory: 13609 grad_norm: 4.1518 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1562 loss: 1.1562 2022/08/02 02:00:47 - mmengine - INFO - Epoch(train) [84][900/940] lr: 6.0000e-04 eta: 2:13:39 time: 0.5374 data_time: 0.2241 memory: 13609 grad_norm: 4.0911 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2415 loss: 1.2415 2022/08/02 02:00:57 - mmengine - INFO - Epoch(train) [84][920/940] lr: 6.0000e-04 eta: 2:13:28 time: 0.5171 data_time: 0.0644 memory: 13609 grad_norm: 4.0398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1901 loss: 1.1901 2022/08/02 02:01:07 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:01:07 - mmengine - INFO - Epoch(train) [84][940/940] lr: 6.0000e-04 eta: 2:13:18 time: 0.4762 data_time: 0.0891 memory: 13609 grad_norm: 4.3723 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0908 loss: 1.0908 2022/08/02 02:01:07 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/02 02:02:55 - mmengine - INFO - Epoch(val) [84][20/78] eta: 0:05:07 time: 5.3030 data_time: 4.5343 memory: 19674 2022/08/02 02:04:08 - mmengine - INFO - Epoch(val) [84][40/78] eta: 0:02:18 time: 3.6528 data_time: 2.9014 memory: 19674 2022/08/02 02:05:44 - mmengine - INFO - Epoch(val) [84][60/78] eta: 0:01:26 time: 4.7927 data_time: 4.0329 memory: 19674 2022/08/02 02:06:54 - mmengine - INFO - Epoch(val) [84][78/78] acc/top1: 0.7112 acc/top5: 0.8949 acc/mean1: 0.7111 2022/08/02 02:06:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_83.pth is removed 2022/08/02 02:06:55 - mmengine - INFO - The best checkpoint with 0.7112 acc/top1 at 85 epoch is saved to best_acc/top1_epoch_85.pth. 2022/08/02 02:07:08 - mmengine - INFO - Epoch(train) [85][20/940] lr: 6.0000e-04 eta: 2:13:07 time: 0.6271 data_time: 0.3473 memory: 19674 grad_norm: 4.0497 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0271 loss: 1.0271 2022/08/02 02:07:18 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:07:18 - mmengine - INFO - Epoch(train) [85][40/940] lr: 6.0000e-04 eta: 2:12:56 time: 0.4878 data_time: 0.1655 memory: 13609 grad_norm: 4.1367 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1410 loss: 1.1410 2022/08/02 02:07:29 - mmengine - INFO - Epoch(train) [85][60/940] lr: 6.0000e-04 eta: 2:12:46 time: 0.5789 data_time: 0.0846 memory: 13609 grad_norm: 4.2364 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0616 loss: 1.0616 2022/08/02 02:07:38 - mmengine - INFO - Epoch(train) [85][80/940] lr: 6.0000e-04 eta: 2:12:35 time: 0.4580 data_time: 0.0446 memory: 13609 grad_norm: 4.0900 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1541 loss: 1.1541 2022/08/02 02:07:50 - mmengine - INFO - Epoch(train) [85][100/940] lr: 6.0000e-04 eta: 2:12:25 time: 0.5774 data_time: 0.0778 memory: 13609 grad_norm: 4.1140 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/08/02 02:07:59 - mmengine - INFO - Epoch(train) [85][120/940] lr: 6.0000e-04 eta: 2:12:14 time: 0.4665 data_time: 0.0442 memory: 13609 grad_norm: 4.0636 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1808 loss: 1.1808 2022/08/02 02:08:11 - mmengine - INFO - Epoch(train) [85][140/940] lr: 6.0000e-04 eta: 2:12:03 time: 0.5792 data_time: 0.1448 memory: 13609 grad_norm: 4.0822 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2184 loss: 1.2184 2022/08/02 02:08:22 - mmengine - INFO - Epoch(train) [85][160/940] lr: 6.0000e-04 eta: 2:11:53 time: 0.5524 data_time: 0.0783 memory: 13609 grad_norm: 4.0572 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1539 loss: 1.1539 2022/08/02 02:08:34 - mmengine - INFO - Epoch(train) [85][180/940] lr: 6.0000e-04 eta: 2:11:42 time: 0.5871 data_time: 0.0368 memory: 13609 grad_norm: 4.0388 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1552 loss: 1.1552 2022/08/02 02:08:42 - mmengine - INFO - Epoch(train) [85][200/940] lr: 6.0000e-04 eta: 2:11:31 time: 0.4212 data_time: 0.0342 memory: 13609 grad_norm: 4.1427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2050 loss: 1.2050 2022/08/02 02:08:55 - mmengine - INFO - Epoch(train) [85][220/940] lr: 6.0000e-04 eta: 2:11:21 time: 0.6158 data_time: 0.0391 memory: 13609 grad_norm: 4.1440 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0339 loss: 1.0339 2022/08/02 02:09:04 - mmengine - INFO - Epoch(train) [85][240/940] lr: 6.0000e-04 eta: 2:11:10 time: 0.4454 data_time: 0.0284 memory: 13609 grad_norm: 4.0328 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0180 loss: 1.0180 2022/08/02 02:09:15 - mmengine - INFO - Epoch(train) [85][260/940] lr: 6.0000e-04 eta: 2:10:59 time: 0.5557 data_time: 0.0472 memory: 13609 grad_norm: 4.0689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/08/02 02:09:24 - mmengine - INFO - Epoch(train) [85][280/940] lr: 6.0000e-04 eta: 2:10:49 time: 0.4607 data_time: 0.0309 memory: 13609 grad_norm: 4.1102 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/08/02 02:09:35 - mmengine - INFO - Epoch(train) [85][300/940] lr: 6.0000e-04 eta: 2:10:38 time: 0.5681 data_time: 0.0494 memory: 13609 grad_norm: 4.1579 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0827 loss: 1.0827 2022/08/02 02:09:45 - mmengine - INFO - Epoch(train) [85][320/940] lr: 6.0000e-04 eta: 2:10:27 time: 0.5052 data_time: 0.0326 memory: 13609 grad_norm: 4.1310 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.2052 loss: 1.2052 2022/08/02 02:09:56 - mmengine - INFO - Epoch(train) [85][340/940] lr: 6.0000e-04 eta: 2:10:17 time: 0.5303 data_time: 0.0393 memory: 13609 grad_norm: 4.1032 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1501 loss: 1.1501 2022/08/02 02:10:07 - mmengine - INFO - Epoch(train) [85][360/940] lr: 6.0000e-04 eta: 2:10:06 time: 0.5717 data_time: 0.0287 memory: 13609 grad_norm: 4.0695 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1973 loss: 1.1973 2022/08/02 02:10:17 - mmengine - INFO - Epoch(train) [85][380/940] lr: 6.0000e-04 eta: 2:09:55 time: 0.4897 data_time: 0.0379 memory: 13609 grad_norm: 4.1642 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1973 loss: 1.1973 2022/08/02 02:10:28 - mmengine - INFO - Epoch(train) [85][400/940] lr: 6.0000e-04 eta: 2:09:45 time: 0.5340 data_time: 0.0442 memory: 13609 grad_norm: 4.0966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1060 loss: 1.1060 2022/08/02 02:10:38 - mmengine - INFO - Epoch(train) [85][420/940] lr: 6.0000e-04 eta: 2:09:34 time: 0.5277 data_time: 0.0392 memory: 13609 grad_norm: 3.9893 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9773 loss: 0.9773 2022/08/02 02:10:50 - mmengine - INFO - Epoch(train) [85][440/940] lr: 6.0000e-04 eta: 2:09:24 time: 0.6024 data_time: 0.0432 memory: 13609 grad_norm: 4.2415 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0452 loss: 1.0452 2022/08/02 02:10:59 - mmengine - INFO - Epoch(train) [85][460/940] lr: 6.0000e-04 eta: 2:09:13 time: 0.4510 data_time: 0.0425 memory: 13609 grad_norm: 4.1469 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0743 loss: 1.0743 2022/08/02 02:11:10 - mmengine - INFO - Epoch(train) [85][480/940] lr: 6.0000e-04 eta: 2:09:02 time: 0.5365 data_time: 0.0363 memory: 13609 grad_norm: 4.0671 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1443 loss: 1.1443 2022/08/02 02:11:20 - mmengine - INFO - Epoch(train) [85][500/940] lr: 6.0000e-04 eta: 2:08:51 time: 0.4927 data_time: 0.0348 memory: 13609 grad_norm: 4.0749 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1436 loss: 1.1436 2022/08/02 02:11:31 - mmengine - INFO - Epoch(train) [85][520/940] lr: 6.0000e-04 eta: 2:08:41 time: 0.5618 data_time: 0.0402 memory: 13609 grad_norm: 4.1263 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0576 loss: 1.0576 2022/08/02 02:11:41 - mmengine - INFO - Epoch(train) [85][540/940] lr: 6.0000e-04 eta: 2:08:30 time: 0.4997 data_time: 0.0667 memory: 13609 grad_norm: 4.0941 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1261 loss: 1.1261 2022/08/02 02:11:53 - mmengine - INFO - Epoch(train) [85][560/940] lr: 6.0000e-04 eta: 2:08:20 time: 0.5599 data_time: 0.0494 memory: 13609 grad_norm: 4.1668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2115 loss: 1.2115 2022/08/02 02:12:02 - mmengine - INFO - Epoch(train) [85][580/940] lr: 6.0000e-04 eta: 2:08:09 time: 0.4986 data_time: 0.0821 memory: 13609 grad_norm: 4.1369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0045 loss: 1.0045 2022/08/02 02:12:15 - mmengine - INFO - Epoch(train) [85][600/940] lr: 6.0000e-04 eta: 2:07:59 time: 0.6302 data_time: 0.0855 memory: 13609 grad_norm: 4.1567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2666 loss: 1.2666 2022/08/02 02:12:24 - mmengine - INFO - Epoch(train) [85][620/940] lr: 6.0000e-04 eta: 2:07:48 time: 0.4576 data_time: 0.0299 memory: 13609 grad_norm: 4.0109 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2107 loss: 1.2107 2022/08/02 02:12:36 - mmengine - INFO - Epoch(train) [85][640/940] lr: 6.0000e-04 eta: 2:07:37 time: 0.5801 data_time: 0.0383 memory: 13609 grad_norm: 4.1626 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1928 loss: 1.1928 2022/08/02 02:12:45 - mmengine - INFO - Epoch(train) [85][660/940] lr: 6.0000e-04 eta: 2:07:26 time: 0.4525 data_time: 0.0324 memory: 13609 grad_norm: 4.1029 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1482 loss: 1.1482 2022/08/02 02:12:57 - mmengine - INFO - Epoch(train) [85][680/940] lr: 6.0000e-04 eta: 2:07:16 time: 0.5674 data_time: 0.0923 memory: 13609 grad_norm: 4.1452 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1604 loss: 1.1604 2022/08/02 02:13:06 - mmengine - INFO - Epoch(train) [85][700/940] lr: 6.0000e-04 eta: 2:07:05 time: 0.4747 data_time: 0.0743 memory: 13609 grad_norm: 4.0426 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0920 loss: 1.0920 2022/08/02 02:13:18 - mmengine - INFO - Epoch(train) [85][720/940] lr: 6.0000e-04 eta: 2:06:54 time: 0.5986 data_time: 0.0520 memory: 13609 grad_norm: 4.0965 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0779 loss: 1.0779 2022/08/02 02:13:27 - mmengine - INFO - Epoch(train) [85][740/940] lr: 6.0000e-04 eta: 2:06:44 time: 0.4772 data_time: 0.0403 memory: 13609 grad_norm: 4.0910 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1692 loss: 1.1692 2022/08/02 02:13:38 - mmengine - INFO - Epoch(train) [85][760/940] lr: 6.0000e-04 eta: 2:06:33 time: 0.5537 data_time: 0.0372 memory: 13609 grad_norm: 4.1188 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.1381 loss: 1.1381 2022/08/02 02:13:48 - mmengine - INFO - Epoch(train) [85][780/940] lr: 6.0000e-04 eta: 2:06:22 time: 0.5014 data_time: 0.0347 memory: 13609 grad_norm: 3.9876 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0839 loss: 1.0839 2022/08/02 02:14:00 - mmengine - INFO - Epoch(train) [85][800/940] lr: 6.0000e-04 eta: 2:06:12 time: 0.5756 data_time: 0.0391 memory: 13609 grad_norm: 4.1858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0633 loss: 1.0633 2022/08/02 02:14:10 - mmengine - INFO - Epoch(train) [85][820/940] lr: 6.0000e-04 eta: 2:06:01 time: 0.4802 data_time: 0.0373 memory: 13609 grad_norm: 4.0475 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/08/02 02:14:21 - mmengine - INFO - Epoch(train) [85][840/940] lr: 6.0000e-04 eta: 2:05:51 time: 0.5808 data_time: 0.0352 memory: 13609 grad_norm: 4.1822 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1533 loss: 1.1533 2022/08/02 02:14:31 - mmengine - INFO - Epoch(train) [85][860/940] lr: 6.0000e-04 eta: 2:05:40 time: 0.4777 data_time: 0.0376 memory: 13609 grad_norm: 4.0568 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0545 loss: 1.0545 2022/08/02 02:14:42 - mmengine - INFO - Epoch(train) [85][880/940] lr: 6.0000e-04 eta: 2:05:29 time: 0.5635 data_time: 0.0419 memory: 13609 grad_norm: 4.1476 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0845 loss: 1.0845 2022/08/02 02:14:52 - mmengine - INFO - Epoch(train) [85][900/940] lr: 6.0000e-04 eta: 2:05:18 time: 0.4716 data_time: 0.0366 memory: 13609 grad_norm: 4.2384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2050 loss: 1.2050 2022/08/02 02:15:02 - mmengine - INFO - Epoch(train) [85][920/940] lr: 6.0000e-04 eta: 2:05:08 time: 0.5130 data_time: 0.0468 memory: 13609 grad_norm: 4.2443 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1687 loss: 1.1687 2022/08/02 02:15:11 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:15:11 - mmengine - INFO - Epoch(train) [85][940/940] lr: 6.0000e-04 eta: 2:04:57 time: 0.4849 data_time: 0.0375 memory: 13609 grad_norm: 4.3365 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1616 loss: 1.1616 2022/08/02 02:16:58 - mmengine - INFO - Epoch(val) [85][20/78] eta: 0:05:08 time: 5.3194 data_time: 4.5305 memory: 19674 2022/08/02 02:18:10 - mmengine - INFO - Epoch(val) [85][40/78] eta: 0:02:17 time: 3.6230 data_time: 2.8536 memory: 19674 2022/08/02 02:19:46 - mmengine - INFO - Epoch(val) [85][60/78] eta: 0:01:25 time: 4.7644 data_time: 3.9942 memory: 19674 2022/08/02 02:20:59 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.7110 acc/top5: 0.8956 acc/mean1: 0.7109 2022/08/02 02:21:13 - mmengine - INFO - Epoch(train) [86][20/940] lr: 6.0000e-04 eta: 2:04:47 time: 0.7180 data_time: 0.2449 memory: 19674 grad_norm: 4.1753 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.0835 loss: 1.0835 2022/08/02 02:21:24 - mmengine - INFO - Epoch(train) [86][40/940] lr: 6.0000e-04 eta: 2:04:36 time: 0.5314 data_time: 0.0296 memory: 13609 grad_norm: 4.1691 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2644 loss: 1.2644 2022/08/02 02:21:36 - mmengine - INFO - Epoch(train) [86][60/940] lr: 6.0000e-04 eta: 2:04:26 time: 0.5899 data_time: 0.0400 memory: 13609 grad_norm: 4.0751 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0853 loss: 1.0853 2022/08/02 02:21:45 - mmengine - INFO - Epoch(train) [86][80/940] lr: 6.0000e-04 eta: 2:04:15 time: 0.4675 data_time: 0.0326 memory: 13609 grad_norm: 4.1553 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0739 loss: 1.0739 2022/08/02 02:21:56 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:21:56 - mmengine - INFO - Epoch(train) [86][100/940] lr: 6.0000e-04 eta: 2:04:04 time: 0.5605 data_time: 0.0495 memory: 13609 grad_norm: 4.0890 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1426 loss: 1.1426 2022/08/02 02:22:06 - mmengine - INFO - Epoch(train) [86][120/940] lr: 6.0000e-04 eta: 2:03:54 time: 0.5009 data_time: 0.0363 memory: 13609 grad_norm: 4.1546 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1941 loss: 1.1941 2022/08/02 02:22:16 - mmengine - INFO - Epoch(train) [86][140/940] lr: 6.0000e-04 eta: 2:03:43 time: 0.4984 data_time: 0.0346 memory: 13609 grad_norm: 4.0508 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/08/02 02:22:25 - mmengine - INFO - Epoch(train) [86][160/940] lr: 6.0000e-04 eta: 2:03:32 time: 0.4533 data_time: 0.0386 memory: 13609 grad_norm: 4.0684 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2023 loss: 1.2023 2022/08/02 02:22:37 - mmengine - INFO - Epoch(train) [86][180/940] lr: 6.0000e-04 eta: 2:03:22 time: 0.5684 data_time: 0.0378 memory: 13609 grad_norm: 4.1166 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9872 loss: 0.9872 2022/08/02 02:22:48 - mmengine - INFO - Epoch(train) [86][200/940] lr: 6.0000e-04 eta: 2:03:11 time: 0.5556 data_time: 0.0382 memory: 13609 grad_norm: 4.1054 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1059 loss: 1.1059 2022/08/02 02:22:58 - mmengine - INFO - Epoch(train) [86][220/940] lr: 6.0000e-04 eta: 2:03:00 time: 0.5298 data_time: 0.0401 memory: 13609 grad_norm: 4.2325 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1377 loss: 1.1377 2022/08/02 02:23:09 - mmengine - INFO - Epoch(train) [86][240/940] lr: 6.0000e-04 eta: 2:02:50 time: 0.5217 data_time: 0.0374 memory: 13609 grad_norm: 4.2365 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0393 loss: 1.0393 2022/08/02 02:23:20 - mmengine - INFO - Epoch(train) [86][260/940] lr: 6.0000e-04 eta: 2:02:39 time: 0.5701 data_time: 0.0379 memory: 13609 grad_norm: 4.0597 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1198 loss: 1.1198 2022/08/02 02:23:30 - mmengine - INFO - Epoch(train) [86][280/940] lr: 6.0000e-04 eta: 2:02:28 time: 0.4787 data_time: 0.0351 memory: 13609 grad_norm: 4.1141 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1833 loss: 1.1833 2022/08/02 02:23:40 - mmengine - INFO - Epoch(train) [86][300/940] lr: 6.0000e-04 eta: 2:02:18 time: 0.5363 data_time: 0.0315 memory: 13609 grad_norm: 4.1203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2477 loss: 1.2477 2022/08/02 02:23:51 - mmengine - INFO - Epoch(train) [86][320/940] lr: 6.0000e-04 eta: 2:02:07 time: 0.5168 data_time: 0.0372 memory: 13609 grad_norm: 4.1327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1699 loss: 1.1699 2022/08/02 02:24:02 - mmengine - INFO - Epoch(train) [86][340/940] lr: 6.0000e-04 eta: 2:01:57 time: 0.5702 data_time: 0.0366 memory: 13609 grad_norm: 4.0708 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2589 loss: 1.2589 2022/08/02 02:24:12 - mmengine - INFO - Epoch(train) [86][360/940] lr: 6.0000e-04 eta: 2:01:46 time: 0.4688 data_time: 0.0381 memory: 13609 grad_norm: 4.1344 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/02 02:24:23 - mmengine - INFO - Epoch(train) [86][380/940] lr: 6.0000e-04 eta: 2:01:35 time: 0.5490 data_time: 0.0351 memory: 13609 grad_norm: 4.1949 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1881 loss: 1.1881 2022/08/02 02:24:33 - mmengine - INFO - Epoch(train) [86][400/940] lr: 6.0000e-04 eta: 2:01:24 time: 0.5096 data_time: 0.0414 memory: 13609 grad_norm: 4.0811 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1708 loss: 1.1708 2022/08/02 02:24:44 - mmengine - INFO - Epoch(train) [86][420/940] lr: 6.0000e-04 eta: 2:01:14 time: 0.5505 data_time: 0.0355 memory: 13609 grad_norm: 4.0957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1762 loss: 1.1762 2022/08/02 02:24:54 - mmengine - INFO - Epoch(train) [86][440/940] lr: 6.0000e-04 eta: 2:01:03 time: 0.5172 data_time: 0.0468 memory: 13609 grad_norm: 4.1573 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/08/02 02:25:05 - mmengine - INFO - Epoch(train) [86][460/940] lr: 6.0000e-04 eta: 2:00:53 time: 0.5255 data_time: 0.0798 memory: 13609 grad_norm: 4.2361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/08/02 02:25:15 - mmengine - INFO - Epoch(train) [86][480/940] lr: 6.0000e-04 eta: 2:00:42 time: 0.5232 data_time: 0.0853 memory: 13609 grad_norm: 4.1389 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1349 loss: 1.1349 2022/08/02 02:25:26 - mmengine - INFO - Epoch(train) [86][500/940] lr: 6.0000e-04 eta: 2:00:31 time: 0.5393 data_time: 0.0496 memory: 13609 grad_norm: 4.1063 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0941 loss: 1.0941 2022/08/02 02:25:36 - mmengine - INFO - Epoch(train) [86][520/940] lr: 6.0000e-04 eta: 2:00:21 time: 0.5158 data_time: 0.0537 memory: 13609 grad_norm: 4.1250 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1185 loss: 1.1185 2022/08/02 02:25:47 - mmengine - INFO - Epoch(train) [86][540/940] lr: 6.0000e-04 eta: 2:00:10 time: 0.5155 data_time: 0.1053 memory: 13609 grad_norm: 4.0710 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0271 loss: 1.0271 2022/08/02 02:25:58 - mmengine - INFO - Epoch(train) [86][560/940] lr: 6.0000e-04 eta: 1:59:59 time: 0.5690 data_time: 0.2275 memory: 13609 grad_norm: 4.1691 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0924 loss: 1.0924 2022/08/02 02:26:08 - mmengine - INFO - Epoch(train) [86][580/940] lr: 6.0000e-04 eta: 1:59:49 time: 0.4863 data_time: 0.1764 memory: 13609 grad_norm: 4.0325 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1205 loss: 1.1205 2022/08/02 02:26:18 - mmengine - INFO - Epoch(train) [86][600/940] lr: 6.0000e-04 eta: 1:59:38 time: 0.5385 data_time: 0.2125 memory: 13609 grad_norm: 4.0962 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0284 loss: 1.0284 2022/08/02 02:26:29 - mmengine - INFO - Epoch(train) [86][620/940] lr: 6.0000e-04 eta: 1:59:27 time: 0.5499 data_time: 0.1017 memory: 13609 grad_norm: 4.1077 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1801 loss: 1.1801 2022/08/02 02:26:39 - mmengine - INFO - Epoch(train) [86][640/940] lr: 6.0000e-04 eta: 1:59:17 time: 0.4818 data_time: 0.0440 memory: 13609 grad_norm: 4.1556 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2881 loss: 1.2881 2022/08/02 02:26:50 - mmengine - INFO - Epoch(train) [86][660/940] lr: 6.0000e-04 eta: 1:59:06 time: 0.5261 data_time: 0.0713 memory: 13609 grad_norm: 4.1621 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2405 loss: 1.2405 2022/08/02 02:27:01 - mmengine - INFO - Epoch(train) [86][680/940] lr: 6.0000e-04 eta: 1:58:55 time: 0.5531 data_time: 0.0903 memory: 13609 grad_norm: 4.1836 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2330 loss: 1.2330 2022/08/02 02:27:12 - mmengine - INFO - Epoch(train) [86][700/940] lr: 6.0000e-04 eta: 1:58:45 time: 0.5649 data_time: 0.0308 memory: 13609 grad_norm: 4.1526 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1315 loss: 1.1315 2022/08/02 02:27:22 - mmengine - INFO - Epoch(train) [86][720/940] lr: 6.0000e-04 eta: 1:58:34 time: 0.4766 data_time: 0.0584 memory: 13609 grad_norm: 4.0983 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1969 loss: 1.1969 2022/08/02 02:27:33 - mmengine - INFO - Epoch(train) [86][740/940] lr: 6.0000e-04 eta: 1:58:23 time: 0.5576 data_time: 0.0742 memory: 13609 grad_norm: 4.0557 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1800 loss: 1.1800 2022/08/02 02:27:43 - mmengine - INFO - Epoch(train) [86][760/940] lr: 6.0000e-04 eta: 1:58:13 time: 0.5125 data_time: 0.0957 memory: 13609 grad_norm: 4.1539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2714 loss: 1.2714 2022/08/02 02:27:53 - mmengine - INFO - Epoch(train) [86][780/940] lr: 6.0000e-04 eta: 1:58:02 time: 0.5064 data_time: 0.1028 memory: 13609 grad_norm: 4.1351 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1176 loss: 1.1176 2022/08/02 02:28:03 - mmengine - INFO - Epoch(train) [86][800/940] lr: 6.0000e-04 eta: 1:57:51 time: 0.5039 data_time: 0.0389 memory: 13609 grad_norm: 4.1711 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0757 loss: 1.0757 2022/08/02 02:28:15 - mmengine - INFO - Epoch(train) [86][820/940] lr: 6.0000e-04 eta: 1:57:41 time: 0.5985 data_time: 0.0360 memory: 13609 grad_norm: 4.1764 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1003 loss: 1.1003 2022/08/02 02:28:24 - mmengine - INFO - Epoch(train) [86][840/940] lr: 6.0000e-04 eta: 1:57:30 time: 0.4577 data_time: 0.0352 memory: 13609 grad_norm: 4.1252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0792 loss: 1.0792 2022/08/02 02:28:36 - mmengine - INFO - Epoch(train) [86][860/940] lr: 6.0000e-04 eta: 1:57:19 time: 0.5602 data_time: 0.0411 memory: 13609 grad_norm: 4.0712 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1456 loss: 1.1456 2022/08/02 02:28:46 - mmengine - INFO - Epoch(train) [86][880/940] lr: 6.0000e-04 eta: 1:57:09 time: 0.5463 data_time: 0.0395 memory: 13609 grad_norm: 4.0650 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2177 loss: 1.2177 2022/08/02 02:28:58 - mmengine - INFO - Epoch(train) [86][900/940] lr: 6.0000e-04 eta: 1:56:58 time: 0.5562 data_time: 0.0359 memory: 13609 grad_norm: 4.1572 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1528 loss: 1.1528 2022/08/02 02:29:07 - mmengine - INFO - Epoch(train) [86][920/940] lr: 6.0000e-04 eta: 1:56:48 time: 0.4913 data_time: 0.0497 memory: 13609 grad_norm: 4.0468 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9787 loss: 0.9787 2022/08/02 02:29:18 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:29:18 - mmengine - INFO - Epoch(train) [86][940/940] lr: 6.0000e-04 eta: 1:56:37 time: 0.5219 data_time: 0.0258 memory: 13609 grad_norm: 4.5269 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1917 loss: 1.1917 2022/08/02 02:31:04 - mmengine - INFO - Epoch(val) [86][20/78] eta: 0:05:06 time: 5.2815 data_time: 4.4955 memory: 19674 2022/08/02 02:32:16 - mmengine - INFO - Epoch(val) [86][40/78] eta: 0:02:17 time: 3.6294 data_time: 2.8493 memory: 19674 2022/08/02 02:33:52 - mmengine - INFO - Epoch(val) [86][60/78] eta: 0:01:26 time: 4.7924 data_time: 4.0117 memory: 19674 2022/08/02 02:35:06 - mmengine - INFO - Epoch(val) [86][78/78] acc/top1: 0.7130 acc/top5: 0.8953 acc/mean1: 0.7129 2022/08/02 02:35:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_85.pth is removed 2022/08/02 02:35:08 - mmengine - INFO - The best checkpoint with 0.7130 acc/top1 at 87 epoch is saved to best_acc/top1_epoch_87.pth. 2022/08/02 02:35:22 - mmengine - INFO - Epoch(train) [87][20/940] lr: 6.0000e-04 eta: 1:56:27 time: 0.7071 data_time: 0.4206 memory: 19674 grad_norm: 4.1115 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1806 loss: 1.1806 2022/08/02 02:35:32 - mmengine - INFO - Epoch(train) [87][40/940] lr: 6.0000e-04 eta: 1:56:16 time: 0.4708 data_time: 0.1591 memory: 13609 grad_norm: 4.2122 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1686 loss: 1.1686 2022/08/02 02:35:45 - mmengine - INFO - Epoch(train) [87][60/940] lr: 6.0000e-04 eta: 1:56:06 time: 0.6860 data_time: 0.3412 memory: 13609 grad_norm: 4.1683 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1340 loss: 1.1340 2022/08/02 02:35:53 - mmengine - INFO - Epoch(train) [87][80/940] lr: 6.0000e-04 eta: 1:55:55 time: 0.3942 data_time: 0.1016 memory: 13609 grad_norm: 4.1081 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0320 loss: 1.0320 2022/08/02 02:36:05 - mmengine - INFO - Epoch(train) [87][100/940] lr: 6.0000e-04 eta: 1:55:44 time: 0.5687 data_time: 0.2266 memory: 13609 grad_norm: 4.1713 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1526 loss: 1.1526 2022/08/02 02:36:14 - mmengine - INFO - Epoch(train) [87][120/940] lr: 6.0000e-04 eta: 1:55:33 time: 0.4548 data_time: 0.0937 memory: 13609 grad_norm: 4.1836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1103 loss: 1.1103 2022/08/02 02:36:26 - mmengine - INFO - Epoch(train) [87][140/940] lr: 6.0000e-04 eta: 1:55:23 time: 0.6326 data_time: 0.0829 memory: 13609 grad_norm: 4.1515 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.0425 loss: 1.0425 2022/08/02 02:36:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:36:35 - mmengine - INFO - Epoch(train) [87][160/940] lr: 6.0000e-04 eta: 1:55:12 time: 0.4333 data_time: 0.0389 memory: 13609 grad_norm: 4.1256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/02 02:36:47 - mmengine - INFO - Epoch(train) [87][180/940] lr: 6.0000e-04 eta: 1:55:02 time: 0.5912 data_time: 0.0410 memory: 13609 grad_norm: 4.1220 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0829 loss: 1.0829 2022/08/02 02:36:56 - mmengine - INFO - Epoch(train) [87][200/940] lr: 6.0000e-04 eta: 1:54:51 time: 0.4631 data_time: 0.0407 memory: 13609 grad_norm: 4.0989 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1145 loss: 1.1145 2022/08/02 02:37:07 - mmengine - INFO - Epoch(train) [87][220/940] lr: 6.0000e-04 eta: 1:54:40 time: 0.5697 data_time: 0.0307 memory: 13609 grad_norm: 4.0855 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1286 loss: 1.1286 2022/08/02 02:37:18 - mmengine - INFO - Epoch(train) [87][240/940] lr: 6.0000e-04 eta: 1:54:30 time: 0.5158 data_time: 0.0849 memory: 13609 grad_norm: 4.0925 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1456 loss: 1.1456 2022/08/02 02:37:29 - mmengine - INFO - Epoch(train) [87][260/940] lr: 6.0000e-04 eta: 1:54:19 time: 0.5420 data_time: 0.1621 memory: 13609 grad_norm: 4.2231 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0905 loss: 1.0905 2022/08/02 02:37:39 - mmengine - INFO - Epoch(train) [87][280/940] lr: 6.0000e-04 eta: 1:54:08 time: 0.5250 data_time: 0.1995 memory: 13609 grad_norm: 4.2708 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1891 loss: 1.1891 2022/08/02 02:37:50 - mmengine - INFO - Epoch(train) [87][300/940] lr: 6.0000e-04 eta: 1:53:58 time: 0.5250 data_time: 0.0351 memory: 13609 grad_norm: 4.2357 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1036 loss: 1.1036 2022/08/02 02:38:00 - mmengine - INFO - Epoch(train) [87][320/940] lr: 6.0000e-04 eta: 1:53:47 time: 0.4992 data_time: 0.0760 memory: 13609 grad_norm: 4.1542 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1296 loss: 1.1296 2022/08/02 02:38:11 - mmengine - INFO - Epoch(train) [87][340/940] lr: 6.0000e-04 eta: 1:53:36 time: 0.5602 data_time: 0.0532 memory: 13609 grad_norm: 4.1678 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/08/02 02:38:21 - mmengine - INFO - Epoch(train) [87][360/940] lr: 6.0000e-04 eta: 1:53:26 time: 0.4903 data_time: 0.0547 memory: 13609 grad_norm: 4.0795 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1132 loss: 1.1132 2022/08/02 02:38:32 - mmengine - INFO - Epoch(train) [87][380/940] lr: 6.0000e-04 eta: 1:53:15 time: 0.5488 data_time: 0.1306 memory: 13609 grad_norm: 4.0792 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1149 loss: 1.1149 2022/08/02 02:38:43 - mmengine - INFO - Epoch(train) [87][400/940] lr: 6.0000e-04 eta: 1:53:05 time: 0.5512 data_time: 0.1181 memory: 13609 grad_norm: 4.2275 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1924 loss: 1.1924 2022/08/02 02:38:53 - mmengine - INFO - Epoch(train) [87][420/940] lr: 6.0000e-04 eta: 1:52:54 time: 0.4919 data_time: 0.0273 memory: 13609 grad_norm: 4.1428 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0453 loss: 1.0453 2022/08/02 02:39:03 - mmengine - INFO - Epoch(train) [87][440/940] lr: 6.0000e-04 eta: 1:52:43 time: 0.5248 data_time: 0.0326 memory: 13609 grad_norm: 4.0951 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1376 loss: 1.1376 2022/08/02 02:39:13 - mmengine - INFO - Epoch(train) [87][460/940] lr: 6.0000e-04 eta: 1:52:32 time: 0.5127 data_time: 0.0310 memory: 13609 grad_norm: 4.1037 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0736 loss: 1.0736 2022/08/02 02:39:24 - mmengine - INFO - Epoch(train) [87][480/940] lr: 6.0000e-04 eta: 1:52:22 time: 0.5472 data_time: 0.0378 memory: 13609 grad_norm: 4.0743 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0248 loss: 1.0248 2022/08/02 02:39:34 - mmengine - INFO - Epoch(train) [87][500/940] lr: 6.0000e-04 eta: 1:52:11 time: 0.4924 data_time: 0.0384 memory: 13609 grad_norm: 4.2124 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0947 loss: 1.0947 2022/08/02 02:39:46 - mmengine - INFO - Epoch(train) [87][520/940] lr: 6.0000e-04 eta: 1:52:01 time: 0.5985 data_time: 0.0439 memory: 13609 grad_norm: 4.1073 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/08/02 02:39:55 - mmengine - INFO - Epoch(train) [87][540/940] lr: 6.0000e-04 eta: 1:51:50 time: 0.4519 data_time: 0.0392 memory: 13609 grad_norm: 4.1425 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1831 loss: 1.1831 2022/08/02 02:40:07 - mmengine - INFO - Epoch(train) [87][560/940] lr: 6.0000e-04 eta: 1:51:39 time: 0.5808 data_time: 0.1375 memory: 13609 grad_norm: 4.1598 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/08/02 02:40:17 - mmengine - INFO - Epoch(train) [87][580/940] lr: 6.0000e-04 eta: 1:51:29 time: 0.5240 data_time: 0.1469 memory: 13609 grad_norm: 4.1396 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2151 loss: 1.2151 2022/08/02 02:40:28 - mmengine - INFO - Epoch(train) [87][600/940] lr: 6.0000e-04 eta: 1:51:18 time: 0.5250 data_time: 0.1445 memory: 13609 grad_norm: 4.1437 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/08/02 02:40:38 - mmengine - INFO - Epoch(train) [87][620/940] lr: 6.0000e-04 eta: 1:51:07 time: 0.5033 data_time: 0.1192 memory: 13609 grad_norm: 4.1418 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2212 loss: 1.2212 2022/08/02 02:40:48 - mmengine - INFO - Epoch(train) [87][640/940] lr: 6.0000e-04 eta: 1:50:57 time: 0.5271 data_time: 0.0452 memory: 13609 grad_norm: 4.1703 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0113 loss: 1.0113 2022/08/02 02:40:59 - mmengine - INFO - Epoch(train) [87][660/940] lr: 6.0000e-04 eta: 1:50:46 time: 0.5376 data_time: 0.0343 memory: 13609 grad_norm: 4.1237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1833 loss: 1.1833 2022/08/02 02:41:09 - mmengine - INFO - Epoch(train) [87][680/940] lr: 6.0000e-04 eta: 1:50:35 time: 0.5069 data_time: 0.0436 memory: 13609 grad_norm: 4.1316 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0708 loss: 1.0708 2022/08/02 02:41:21 - mmengine - INFO - Epoch(train) [87][700/940] lr: 6.0000e-04 eta: 1:50:25 time: 0.5729 data_time: 0.0388 memory: 13609 grad_norm: 4.2151 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1356 loss: 1.1356 2022/08/02 02:41:31 - mmengine - INFO - Epoch(train) [87][720/940] lr: 6.0000e-04 eta: 1:50:14 time: 0.5174 data_time: 0.0423 memory: 13609 grad_norm: 4.0885 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0327 loss: 1.0327 2022/08/02 02:41:41 - mmengine - INFO - Epoch(train) [87][740/940] lr: 6.0000e-04 eta: 1:50:03 time: 0.4860 data_time: 0.0364 memory: 13609 grad_norm: 4.2277 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1467 loss: 1.1467 2022/08/02 02:41:51 - mmengine - INFO - Epoch(train) [87][760/940] lr: 6.0000e-04 eta: 1:49:53 time: 0.5069 data_time: 0.0406 memory: 13609 grad_norm: 4.1477 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0214 loss: 1.0214 2022/08/02 02:42:02 - mmengine - INFO - Epoch(train) [87][780/940] lr: 6.0000e-04 eta: 1:49:42 time: 0.5511 data_time: 0.0414 memory: 13609 grad_norm: 4.2574 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1258 loss: 1.1258 2022/08/02 02:42:12 - mmengine - INFO - Epoch(train) [87][800/940] lr: 6.0000e-04 eta: 1:49:31 time: 0.5045 data_time: 0.0546 memory: 13609 grad_norm: 4.1058 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1395 loss: 1.1395 2022/08/02 02:42:24 - mmengine - INFO - Epoch(train) [87][820/940] lr: 6.0000e-04 eta: 1:49:21 time: 0.5796 data_time: 0.0421 memory: 13609 grad_norm: 4.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0299 loss: 1.0299 2022/08/02 02:42:34 - mmengine - INFO - Epoch(train) [87][840/940] lr: 6.0000e-04 eta: 1:49:10 time: 0.5238 data_time: 0.0423 memory: 13609 grad_norm: 4.1815 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0745 loss: 1.0745 2022/08/02 02:42:44 - mmengine - INFO - Epoch(train) [87][860/940] lr: 6.0000e-04 eta: 1:48:59 time: 0.4712 data_time: 0.0371 memory: 13609 grad_norm: 4.1382 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9828 loss: 0.9828 2022/08/02 02:42:56 - mmengine - INFO - Epoch(train) [87][880/940] lr: 6.0000e-04 eta: 1:48:49 time: 0.5941 data_time: 0.0433 memory: 13609 grad_norm: 4.1699 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2513 loss: 1.2513 2022/08/02 02:43:06 - mmengine - INFO - Epoch(train) [87][900/940] lr: 6.0000e-04 eta: 1:48:38 time: 0.5004 data_time: 0.0430 memory: 13609 grad_norm: 4.1905 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0322 loss: 1.0322 2022/08/02 02:43:16 - mmengine - INFO - Epoch(train) [87][920/940] lr: 6.0000e-04 eta: 1:48:28 time: 0.5369 data_time: 0.0618 memory: 13609 grad_norm: 4.2258 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1460 loss: 1.1460 2022/08/02 02:43:25 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:43:25 - mmengine - INFO - Epoch(train) [87][940/940] lr: 6.0000e-04 eta: 1:48:17 time: 0.4614 data_time: 0.1232 memory: 13609 grad_norm: 4.4614 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.2265 loss: 1.2265 2022/08/02 02:43:26 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/02 02:45:12 - mmengine - INFO - Epoch(val) [87][20/78] eta: 0:05:06 time: 5.2801 data_time: 4.5055 memory: 19674 2022/08/02 02:46:25 - mmengine - INFO - Epoch(val) [87][40/78] eta: 0:02:17 time: 3.6276 data_time: 2.8575 memory: 19674 2022/08/02 02:48:01 - mmengine - INFO - Epoch(val) [87][60/78] eta: 0:01:26 time: 4.7805 data_time: 4.0051 memory: 19674 2022/08/02 02:49:12 - mmengine - INFO - Epoch(val) [87][78/78] acc/top1: 0.7124 acc/top5: 0.8956 acc/mean1: 0.7123 2022/08/02 02:49:28 - mmengine - INFO - Epoch(train) [88][20/940] lr: 6.0000e-04 eta: 1:48:07 time: 0.7906 data_time: 0.3025 memory: 19674 grad_norm: 4.1989 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2269 loss: 1.2269 2022/08/02 02:49:37 - mmengine - INFO - Epoch(train) [88][40/940] lr: 6.0000e-04 eta: 1:47:56 time: 0.4458 data_time: 0.0314 memory: 13609 grad_norm: 4.2470 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1528 loss: 1.1528 2022/08/02 02:49:49 - mmengine - INFO - Epoch(train) [88][60/940] lr: 6.0000e-04 eta: 1:47:46 time: 0.5959 data_time: 0.1827 memory: 13609 grad_norm: 4.2554 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/08/02 02:49:58 - mmengine - INFO - Epoch(train) [88][80/940] lr: 6.0000e-04 eta: 1:47:35 time: 0.4695 data_time: 0.1102 memory: 13609 grad_norm: 4.2909 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9889 loss: 0.9889 2022/08/02 02:50:11 - mmengine - INFO - Epoch(train) [88][100/940] lr: 6.0000e-04 eta: 1:47:24 time: 0.6079 data_time: 0.0555 memory: 13609 grad_norm: 4.1406 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0248 loss: 1.0248 2022/08/02 02:50:21 - mmengine - INFO - Epoch(train) [88][120/940] lr: 6.0000e-04 eta: 1:47:14 time: 0.4954 data_time: 0.0373 memory: 13609 grad_norm: 4.0403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0705 loss: 1.0705 2022/08/02 02:50:31 - mmengine - INFO - Epoch(train) [88][140/940] lr: 6.0000e-04 eta: 1:47:03 time: 0.5323 data_time: 0.0351 memory: 13609 grad_norm: 4.2516 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1906 loss: 1.1906 2022/08/02 02:50:41 - mmengine - INFO - Epoch(train) [88][160/940] lr: 6.0000e-04 eta: 1:46:52 time: 0.5104 data_time: 0.0485 memory: 13609 grad_norm: 4.1941 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1838 loss: 1.1838 2022/08/02 02:50:52 - mmengine - INFO - Epoch(train) [88][180/940] lr: 6.0000e-04 eta: 1:46:42 time: 0.5101 data_time: 0.0968 memory: 13609 grad_norm: 4.0864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/08/02 02:51:02 - mmengine - INFO - Epoch(train) [88][200/940] lr: 6.0000e-04 eta: 1:46:31 time: 0.5043 data_time: 0.0624 memory: 13609 grad_norm: 4.1311 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0136 loss: 1.0136 2022/08/02 02:51:13 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:51:13 - mmengine - INFO - Epoch(train) [88][220/940] lr: 6.0000e-04 eta: 1:46:20 time: 0.5875 data_time: 0.0708 memory: 13609 grad_norm: 4.3373 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0920 loss: 1.0920 2022/08/02 02:51:23 - mmengine - INFO - Epoch(train) [88][240/940] lr: 6.0000e-04 eta: 1:46:10 time: 0.4861 data_time: 0.0306 memory: 13609 grad_norm: 4.0961 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1048 loss: 1.1048 2022/08/02 02:51:34 - mmengine - INFO - Epoch(train) [88][260/940] lr: 6.0000e-04 eta: 1:45:59 time: 0.5560 data_time: 0.0370 memory: 13609 grad_norm: 4.1569 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/08/02 02:51:44 - mmengine - INFO - Epoch(train) [88][280/940] lr: 6.0000e-04 eta: 1:45:48 time: 0.5034 data_time: 0.0422 memory: 13609 grad_norm: 4.2551 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1248 loss: 1.1248 2022/08/02 02:51:55 - mmengine - INFO - Epoch(train) [88][300/940] lr: 6.0000e-04 eta: 1:45:38 time: 0.5464 data_time: 0.0365 memory: 13609 grad_norm: 4.1037 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0848 loss: 1.0848 2022/08/02 02:52:05 - mmengine - INFO - Epoch(train) [88][320/940] lr: 6.0000e-04 eta: 1:45:27 time: 0.4938 data_time: 0.0330 memory: 13609 grad_norm: 4.1538 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0898 loss: 1.0898 2022/08/02 02:52:16 - mmengine - INFO - Epoch(train) [88][340/940] lr: 6.0000e-04 eta: 1:45:16 time: 0.5574 data_time: 0.0500 memory: 13609 grad_norm: 4.1281 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1401 loss: 1.1401 2022/08/02 02:52:27 - mmengine - INFO - Epoch(train) [88][360/940] lr: 6.0000e-04 eta: 1:45:06 time: 0.5225 data_time: 0.0379 memory: 13609 grad_norm: 4.1514 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0541 loss: 1.0541 2022/08/02 02:52:37 - mmengine - INFO - Epoch(train) [88][380/940] lr: 6.0000e-04 eta: 1:44:55 time: 0.5151 data_time: 0.0925 memory: 13609 grad_norm: 4.0976 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1235 loss: 1.1235 2022/08/02 02:52:47 - mmengine - INFO - Epoch(train) [88][400/940] lr: 6.0000e-04 eta: 1:44:44 time: 0.5056 data_time: 0.1365 memory: 13609 grad_norm: 4.1539 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0946 loss: 1.0946 2022/08/02 02:52:59 - mmengine - INFO - Epoch(train) [88][420/940] lr: 6.0000e-04 eta: 1:44:34 time: 0.5827 data_time: 0.2530 memory: 13609 grad_norm: 4.1850 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1263 loss: 1.1263 2022/08/02 02:53:09 - mmengine - INFO - Epoch(train) [88][440/940] lr: 6.0000e-04 eta: 1:44:23 time: 0.4826 data_time: 0.1178 memory: 13609 grad_norm: 4.1528 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1231 loss: 1.1231 2022/08/02 02:53:20 - mmengine - INFO - Epoch(train) [88][460/940] lr: 6.0000e-04 eta: 1:44:13 time: 0.5663 data_time: 0.1627 memory: 13609 grad_norm: 4.1332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1838 loss: 1.1838 2022/08/02 02:53:30 - mmengine - INFO - Epoch(train) [88][480/940] lr: 6.0000e-04 eta: 1:44:02 time: 0.5119 data_time: 0.0384 memory: 13609 grad_norm: 4.1466 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9810 loss: 0.9810 2022/08/02 02:53:41 - mmengine - INFO - Epoch(train) [88][500/940] lr: 6.0000e-04 eta: 1:43:51 time: 0.5468 data_time: 0.0522 memory: 13609 grad_norm: 4.1841 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1245 loss: 1.1245 2022/08/02 02:53:51 - mmengine - INFO - Epoch(train) [88][520/940] lr: 6.0000e-04 eta: 1:43:40 time: 0.4761 data_time: 0.0725 memory: 13609 grad_norm: 4.1525 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1344 loss: 1.1344 2022/08/02 02:54:03 - mmengine - INFO - Epoch(train) [88][540/940] lr: 6.0000e-04 eta: 1:43:30 time: 0.5956 data_time: 0.2583 memory: 13609 grad_norm: 4.2005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1604 loss: 1.1604 2022/08/02 02:54:12 - mmengine - INFO - Epoch(train) [88][560/940] lr: 6.0000e-04 eta: 1:43:19 time: 0.4670 data_time: 0.1615 memory: 13609 grad_norm: 4.2748 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1891 loss: 1.1891 2022/08/02 02:54:23 - mmengine - INFO - Epoch(train) [88][580/940] lr: 6.0000e-04 eta: 1:43:09 time: 0.5619 data_time: 0.2377 memory: 13609 grad_norm: 4.1250 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0431 loss: 1.0431 2022/08/02 02:54:34 - mmengine - INFO - Epoch(train) [88][600/940] lr: 6.0000e-04 eta: 1:42:58 time: 0.5368 data_time: 0.2140 memory: 13609 grad_norm: 4.1534 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/08/02 02:54:45 - mmengine - INFO - Epoch(train) [88][620/940] lr: 6.0000e-04 eta: 1:42:47 time: 0.5321 data_time: 0.1986 memory: 13609 grad_norm: 4.1343 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9919 loss: 0.9919 2022/08/02 02:54:54 - mmengine - INFO - Epoch(train) [88][640/940] lr: 6.0000e-04 eta: 1:42:37 time: 0.4801 data_time: 0.1807 memory: 13609 grad_norm: 4.2397 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1348 loss: 1.1348 2022/08/02 02:55:05 - mmengine - INFO - Epoch(train) [88][660/940] lr: 6.0000e-04 eta: 1:42:26 time: 0.5615 data_time: 0.2180 memory: 13609 grad_norm: 4.0648 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0924 loss: 1.0924 2022/08/02 02:55:15 - mmengine - INFO - Epoch(train) [88][680/940] lr: 6.0000e-04 eta: 1:42:15 time: 0.4977 data_time: 0.1963 memory: 13609 grad_norm: 4.2870 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1931 loss: 1.1931 2022/08/02 02:55:26 - mmengine - INFO - Epoch(train) [88][700/940] lr: 6.0000e-04 eta: 1:42:05 time: 0.5325 data_time: 0.2015 memory: 13609 grad_norm: 4.2530 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1641 loss: 1.1641 2022/08/02 02:55:36 - mmengine - INFO - Epoch(train) [88][720/940] lr: 6.0000e-04 eta: 1:41:54 time: 0.5115 data_time: 0.1715 memory: 13609 grad_norm: 4.2123 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0273 loss: 1.0273 2022/08/02 02:55:49 - mmengine - INFO - Epoch(train) [88][740/940] lr: 6.0000e-04 eta: 1:41:44 time: 0.6150 data_time: 0.2702 memory: 13609 grad_norm: 4.1279 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1971 loss: 1.1971 2022/08/02 02:55:58 - mmengine - INFO - Epoch(train) [88][760/940] lr: 6.0000e-04 eta: 1:41:33 time: 0.4533 data_time: 0.1600 memory: 13609 grad_norm: 4.1990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1272 loss: 1.1272 2022/08/02 02:56:08 - mmengine - INFO - Epoch(train) [88][780/940] lr: 6.0000e-04 eta: 1:41:22 time: 0.5251 data_time: 0.2213 memory: 13609 grad_norm: 4.0992 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1329 loss: 1.1329 2022/08/02 02:56:18 - mmengine - INFO - Epoch(train) [88][800/940] lr: 6.0000e-04 eta: 1:41:11 time: 0.5155 data_time: 0.2186 memory: 13609 grad_norm: 4.0729 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1186 loss: 1.1186 2022/08/02 02:56:28 - mmengine - INFO - Epoch(train) [88][820/940] lr: 6.0000e-04 eta: 1:41:01 time: 0.4708 data_time: 0.1657 memory: 13609 grad_norm: 4.1098 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0859 loss: 1.0859 2022/08/02 02:56:39 - mmengine - INFO - Epoch(train) [88][840/940] lr: 6.0000e-04 eta: 1:40:50 time: 0.5418 data_time: 0.2511 memory: 13609 grad_norm: 4.2689 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1758 loss: 1.1758 2022/08/02 02:56:50 - mmengine - INFO - Epoch(train) [88][860/940] lr: 6.0000e-04 eta: 1:40:39 time: 0.5493 data_time: 0.2261 memory: 13609 grad_norm: 4.1075 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1257 loss: 1.1257 2022/08/02 02:57:00 - mmengine - INFO - Epoch(train) [88][880/940] lr: 6.0000e-04 eta: 1:40:29 time: 0.5218 data_time: 0.2089 memory: 13609 grad_norm: 4.1223 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0993 loss: 1.0993 2022/08/02 02:57:11 - mmengine - INFO - Epoch(train) [88][900/940] lr: 6.0000e-04 eta: 1:40:18 time: 0.5234 data_time: 0.1909 memory: 13609 grad_norm: 4.2036 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1196 loss: 1.1196 2022/08/02 02:57:21 - mmengine - INFO - Epoch(train) [88][920/940] lr: 6.0000e-04 eta: 1:40:07 time: 0.5253 data_time: 0.2223 memory: 13609 grad_norm: 4.1473 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0750 loss: 1.0750 2022/08/02 02:57:30 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 02:57:30 - mmengine - INFO - Epoch(train) [88][940/940] lr: 6.0000e-04 eta: 1:39:57 time: 0.4205 data_time: 0.1205 memory: 13609 grad_norm: 4.3434 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1393 loss: 1.1393 2022/08/02 02:59:15 - mmengine - INFO - Epoch(val) [88][20/78] eta: 0:05:06 time: 5.2909 data_time: 4.5137 memory: 19674 2022/08/02 03:00:28 - mmengine - INFO - Epoch(val) [88][40/78] eta: 0:02:18 time: 3.6334 data_time: 2.8608 memory: 19674 2022/08/02 03:02:04 - mmengine - INFO - Epoch(val) [88][60/78] eta: 0:01:26 time: 4.8099 data_time: 4.0557 memory: 19674 2022/08/02 03:03:17 - mmengine - INFO - Epoch(val) [88][78/78] acc/top1: 0.7135 acc/top5: 0.8956 acc/mean1: 0.7134 2022/08/02 03:03:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_87.pth is removed 2022/08/02 03:03:18 - mmengine - INFO - The best checkpoint with 0.7135 acc/top1 at 89 epoch is saved to best_acc/top1_epoch_89.pth. 2022/08/02 03:03:32 - mmengine - INFO - Epoch(train) [89][20/940] lr: 6.0000e-04 eta: 1:39:46 time: 0.6768 data_time: 0.3813 memory: 19674 grad_norm: 4.1548 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2268 loss: 1.2268 2022/08/02 03:03:41 - mmengine - INFO - Epoch(train) [89][40/940] lr: 6.0000e-04 eta: 1:39:35 time: 0.4599 data_time: 0.1623 memory: 13609 grad_norm: 4.1695 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/08/02 03:03:53 - mmengine - INFO - Epoch(train) [89][60/940] lr: 6.0000e-04 eta: 1:39:25 time: 0.5622 data_time: 0.2766 memory: 13609 grad_norm: 4.2216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2283 loss: 1.2283 2022/08/02 03:04:03 - mmengine - INFO - Epoch(train) [89][80/940] lr: 6.0000e-04 eta: 1:39:14 time: 0.5246 data_time: 0.1770 memory: 13609 grad_norm: 4.0593 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0669 loss: 1.0669 2022/08/02 03:04:14 - mmengine - INFO - Epoch(train) [89][100/940] lr: 6.0000e-04 eta: 1:39:04 time: 0.5641 data_time: 0.0670 memory: 13609 grad_norm: 4.2773 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0878 loss: 1.0878 2022/08/02 03:04:24 - mmengine - INFO - Epoch(train) [89][120/940] lr: 6.0000e-04 eta: 1:38:53 time: 0.4688 data_time: 0.0395 memory: 13609 grad_norm: 4.1112 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0513 loss: 1.0513 2022/08/02 03:04:37 - mmengine - INFO - Epoch(train) [89][140/940] lr: 6.0000e-04 eta: 1:38:43 time: 0.6540 data_time: 0.0521 memory: 13609 grad_norm: 4.1151 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0301 loss: 1.0301 2022/08/02 03:04:45 - mmengine - INFO - Epoch(train) [89][160/940] lr: 6.0000e-04 eta: 1:38:32 time: 0.4280 data_time: 0.0361 memory: 13609 grad_norm: 4.2463 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1944 loss: 1.1944 2022/08/02 03:04:56 - mmengine - INFO - Epoch(train) [89][180/940] lr: 6.0000e-04 eta: 1:38:21 time: 0.5365 data_time: 0.0394 memory: 13609 grad_norm: 4.2779 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1615 loss: 1.1615 2022/08/02 03:05:06 - mmengine - INFO - Epoch(train) [89][200/940] lr: 6.0000e-04 eta: 1:38:10 time: 0.4869 data_time: 0.0443 memory: 13609 grad_norm: 4.2292 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/08/02 03:05:18 - mmengine - INFO - Epoch(train) [89][220/940] lr: 6.0000e-04 eta: 1:38:00 time: 0.5805 data_time: 0.0316 memory: 13609 grad_norm: 4.0989 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.0741 loss: 1.0741 2022/08/02 03:05:27 - mmengine - INFO - Epoch(train) [89][240/940] lr: 6.0000e-04 eta: 1:37:49 time: 0.4759 data_time: 0.0755 memory: 13609 grad_norm: 4.1711 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0798 loss: 1.0798 2022/08/02 03:05:38 - mmengine - INFO - Epoch(train) [89][260/940] lr: 6.0000e-04 eta: 1:37:38 time: 0.5419 data_time: 0.0321 memory: 13609 grad_norm: 4.1258 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0860 loss: 1.0860 2022/08/02 03:05:48 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:05:48 - mmengine - INFO - Epoch(train) [89][280/940] lr: 6.0000e-04 eta: 1:37:28 time: 0.5314 data_time: 0.0457 memory: 13609 grad_norm: 4.1631 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2132 loss: 1.2132 2022/08/02 03:05:59 - mmengine - INFO - Epoch(train) [89][300/940] lr: 6.0000e-04 eta: 1:37:17 time: 0.5168 data_time: 0.0380 memory: 13609 grad_norm: 4.1722 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1248 loss: 1.1248 2022/08/02 03:06:08 - mmengine - INFO - Epoch(train) [89][320/940] lr: 6.0000e-04 eta: 1:37:06 time: 0.4844 data_time: 0.0482 memory: 13609 grad_norm: 4.1997 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2213 loss: 1.2213 2022/08/02 03:06:20 - mmengine - INFO - Epoch(train) [89][340/940] lr: 6.0000e-04 eta: 1:36:56 time: 0.5599 data_time: 0.0357 memory: 13609 grad_norm: 4.2376 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1815 loss: 1.1815 2022/08/02 03:06:30 - mmengine - INFO - Epoch(train) [89][360/940] lr: 6.0000e-04 eta: 1:36:45 time: 0.5330 data_time: 0.0414 memory: 13609 grad_norm: 4.2273 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1698 loss: 1.1698 2022/08/02 03:06:40 - mmengine - INFO - Epoch(train) [89][380/940] lr: 6.0000e-04 eta: 1:36:34 time: 0.4802 data_time: 0.0309 memory: 13609 grad_norm: 4.2227 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0364 loss: 1.0364 2022/08/02 03:06:52 - mmengine - INFO - Epoch(train) [89][400/940] lr: 6.0000e-04 eta: 1:36:24 time: 0.5761 data_time: 0.0661 memory: 13609 grad_norm: 4.1520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0500 loss: 1.0500 2022/08/02 03:07:01 - mmengine - INFO - Epoch(train) [89][420/940] lr: 6.0000e-04 eta: 1:36:13 time: 0.4738 data_time: 0.0924 memory: 13609 grad_norm: 4.1964 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1061 loss: 1.1061 2022/08/02 03:07:12 - mmengine - INFO - Epoch(train) [89][440/940] lr: 6.0000e-04 eta: 1:36:03 time: 0.5618 data_time: 0.0809 memory: 13609 grad_norm: 4.1317 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9914 loss: 0.9914 2022/08/02 03:07:22 - mmengine - INFO - Epoch(train) [89][460/940] lr: 6.0000e-04 eta: 1:35:52 time: 0.5023 data_time: 0.0357 memory: 13609 grad_norm: 4.2320 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1454 loss: 1.1454 2022/08/02 03:07:33 - mmengine - INFO - Epoch(train) [89][480/940] lr: 6.0000e-04 eta: 1:35:41 time: 0.5260 data_time: 0.0400 memory: 13609 grad_norm: 4.1562 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1085 loss: 1.1085 2022/08/02 03:07:44 - mmengine - INFO - Epoch(train) [89][500/940] lr: 6.0000e-04 eta: 1:35:31 time: 0.5372 data_time: 0.0322 memory: 13609 grad_norm: 4.1935 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1110 loss: 1.1110 2022/08/02 03:07:56 - mmengine - INFO - Epoch(train) [89][520/940] lr: 6.0000e-04 eta: 1:35:20 time: 0.6001 data_time: 0.0363 memory: 13609 grad_norm: 4.2487 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1491 loss: 1.1491 2022/08/02 03:08:05 - mmengine - INFO - Epoch(train) [89][540/940] lr: 6.0000e-04 eta: 1:35:09 time: 0.4509 data_time: 0.0317 memory: 13609 grad_norm: 4.1667 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1357 loss: 1.1357 2022/08/02 03:08:15 - mmengine - INFO - Epoch(train) [89][560/940] lr: 6.0000e-04 eta: 1:34:59 time: 0.5369 data_time: 0.0355 memory: 13609 grad_norm: 4.1776 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1520 loss: 1.1520 2022/08/02 03:08:26 - mmengine - INFO - Epoch(train) [89][580/940] lr: 6.0000e-04 eta: 1:34:48 time: 0.5106 data_time: 0.0336 memory: 13609 grad_norm: 4.1996 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0084 loss: 1.0084 2022/08/02 03:08:37 - mmengine - INFO - Epoch(train) [89][600/940] lr: 6.0000e-04 eta: 1:34:37 time: 0.5704 data_time: 0.0306 memory: 13609 grad_norm: 4.2388 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2435 loss: 1.2435 2022/08/02 03:08:47 - mmengine - INFO - Epoch(train) [89][620/940] lr: 6.0000e-04 eta: 1:34:27 time: 0.4759 data_time: 0.0536 memory: 13609 grad_norm: 4.1612 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0281 loss: 1.0281 2022/08/02 03:08:58 - mmengine - INFO - Epoch(train) [89][640/940] lr: 6.0000e-04 eta: 1:34:16 time: 0.5756 data_time: 0.0653 memory: 13609 grad_norm: 4.2635 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1760 loss: 1.1760 2022/08/02 03:09:09 - mmengine - INFO - Epoch(train) [89][660/940] lr: 6.0000e-04 eta: 1:34:06 time: 0.5398 data_time: 0.1075 memory: 13609 grad_norm: 4.2031 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0545 loss: 1.0545 2022/08/02 03:09:20 - mmengine - INFO - Epoch(train) [89][680/940] lr: 6.0000e-04 eta: 1:33:55 time: 0.5631 data_time: 0.1927 memory: 13609 grad_norm: 4.1733 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.0763 loss: 1.0763 2022/08/02 03:09:30 - mmengine - INFO - Epoch(train) [89][700/940] lr: 6.0000e-04 eta: 1:33:44 time: 0.5040 data_time: 0.1780 memory: 13609 grad_norm: 4.2123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1040 loss: 1.1040 2022/08/02 03:09:42 - mmengine - INFO - Epoch(train) [89][720/940] lr: 6.0000e-04 eta: 1:33:34 time: 0.5654 data_time: 0.2022 memory: 13609 grad_norm: 4.1605 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0340 loss: 1.0340 2022/08/02 03:09:51 - mmengine - INFO - Epoch(train) [89][740/940] lr: 6.0000e-04 eta: 1:33:23 time: 0.4573 data_time: 0.1686 memory: 13609 grad_norm: 4.2370 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2285 loss: 1.2285 2022/08/02 03:10:01 - mmengine - INFO - Epoch(train) [89][760/940] lr: 6.0000e-04 eta: 1:33:12 time: 0.5336 data_time: 0.1839 memory: 13609 grad_norm: 4.1663 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0666 loss: 1.0666 2022/08/02 03:10:11 - mmengine - INFO - Epoch(train) [89][780/940] lr: 6.0000e-04 eta: 1:33:02 time: 0.4975 data_time: 0.0720 memory: 13609 grad_norm: 4.3074 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1608 loss: 1.1608 2022/08/02 03:10:23 - mmengine - INFO - Epoch(train) [89][800/940] lr: 6.0000e-04 eta: 1:32:51 time: 0.5691 data_time: 0.0722 memory: 13609 grad_norm: 4.1198 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1861 loss: 1.1861 2022/08/02 03:10:33 - mmengine - INFO - Epoch(train) [89][820/940] lr: 6.0000e-04 eta: 1:32:40 time: 0.4941 data_time: 0.1285 memory: 13609 grad_norm: 4.2226 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1309 loss: 1.1309 2022/08/02 03:10:43 - mmengine - INFO - Epoch(train) [89][840/940] lr: 6.0000e-04 eta: 1:32:30 time: 0.5380 data_time: 0.0795 memory: 13609 grad_norm: 4.2166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1504 loss: 1.1504 2022/08/02 03:10:54 - mmengine - INFO - Epoch(train) [89][860/940] lr: 6.0000e-04 eta: 1:32:19 time: 0.5151 data_time: 0.1082 memory: 13609 grad_norm: 4.2212 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/08/02 03:11:05 - mmengine - INFO - Epoch(train) [89][880/940] lr: 6.0000e-04 eta: 1:32:08 time: 0.5618 data_time: 0.2383 memory: 13609 grad_norm: 4.2261 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1521 loss: 1.1521 2022/08/02 03:11:16 - mmengine - INFO - Epoch(train) [89][900/940] lr: 6.0000e-04 eta: 1:31:58 time: 0.5558 data_time: 0.1171 memory: 13609 grad_norm: 4.1690 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0557 loss: 1.0557 2022/08/02 03:11:26 - mmengine - INFO - Epoch(train) [89][920/940] lr: 6.0000e-04 eta: 1:31:47 time: 0.4851 data_time: 0.1371 memory: 13609 grad_norm: 4.1984 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1832 loss: 1.1832 2022/08/02 03:11:35 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:11:35 - mmengine - INFO - Epoch(train) [89][940/940] lr: 6.0000e-04 eta: 1:31:36 time: 0.4585 data_time: 0.1128 memory: 13609 grad_norm: 4.4705 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0610 loss: 1.0610 2022/08/02 03:13:21 - mmengine - INFO - Epoch(val) [89][20/78] eta: 0:05:08 time: 5.3217 data_time: 4.5381 memory: 19674 2022/08/02 03:14:34 - mmengine - INFO - Epoch(val) [89][40/78] eta: 0:02:17 time: 3.6301 data_time: 2.8523 memory: 19674 2022/08/02 03:16:10 - mmengine - INFO - Epoch(val) [89][60/78] eta: 0:01:26 time: 4.8037 data_time: 4.0564 memory: 19674 2022/08/02 03:17:22 - mmengine - INFO - Epoch(val) [89][78/78] acc/top1: 0.7111 acc/top5: 0.8969 acc/mean1: 0.7109 2022/08/02 03:17:38 - mmengine - INFO - Epoch(train) [90][20/940] lr: 6.0000e-04 eta: 1:31:26 time: 0.7611 data_time: 0.2488 memory: 19674 grad_norm: 4.2350 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1281 loss: 1.1281 2022/08/02 03:17:47 - mmengine - INFO - Epoch(train) [90][40/940] lr: 6.0000e-04 eta: 1:31:15 time: 0.4739 data_time: 0.0505 memory: 13609 grad_norm: 4.2215 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0883 loss: 1.0883 2022/08/02 03:17:58 - mmengine - INFO - Epoch(train) [90][60/940] lr: 6.0000e-04 eta: 1:31:05 time: 0.5436 data_time: 0.1103 memory: 13609 grad_norm: 4.2014 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0862 loss: 1.0862 2022/08/02 03:18:08 - mmengine - INFO - Epoch(train) [90][80/940] lr: 6.0000e-04 eta: 1:30:54 time: 0.4793 data_time: 0.0424 memory: 13609 grad_norm: 4.2176 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0342 loss: 1.0342 2022/08/02 03:18:20 - mmengine - INFO - Epoch(train) [90][100/940] lr: 6.0000e-04 eta: 1:30:44 time: 0.6109 data_time: 0.1378 memory: 13609 grad_norm: 4.2897 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0710 loss: 1.0710 2022/08/02 03:18:30 - mmengine - INFO - Epoch(train) [90][120/940] lr: 6.0000e-04 eta: 1:30:33 time: 0.5039 data_time: 0.0391 memory: 13609 grad_norm: 4.1959 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/02 03:18:41 - mmengine - INFO - Epoch(train) [90][140/940] lr: 6.0000e-04 eta: 1:30:22 time: 0.5578 data_time: 0.0368 memory: 13609 grad_norm: 4.1549 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0965 loss: 1.0965 2022/08/02 03:18:51 - mmengine - INFO - Epoch(train) [90][160/940] lr: 6.0000e-04 eta: 1:30:12 time: 0.4767 data_time: 0.0382 memory: 13609 grad_norm: 4.1961 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/08/02 03:19:02 - mmengine - INFO - Epoch(train) [90][180/940] lr: 6.0000e-04 eta: 1:30:01 time: 0.5785 data_time: 0.0344 memory: 13609 grad_norm: 4.1772 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9929 loss: 0.9929 2022/08/02 03:19:12 - mmengine - INFO - Epoch(train) [90][200/940] lr: 6.0000e-04 eta: 1:29:50 time: 0.4975 data_time: 0.0334 memory: 13609 grad_norm: 4.1791 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/08/02 03:19:23 - mmengine - INFO - Epoch(train) [90][220/940] lr: 6.0000e-04 eta: 1:29:40 time: 0.5425 data_time: 0.0351 memory: 13609 grad_norm: 4.1994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1684 loss: 1.1684 2022/08/02 03:19:33 - mmengine - INFO - Epoch(train) [90][240/940] lr: 6.0000e-04 eta: 1:29:29 time: 0.4838 data_time: 0.0372 memory: 13609 grad_norm: 4.2440 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/08/02 03:19:43 - mmengine - INFO - Epoch(train) [90][260/940] lr: 6.0000e-04 eta: 1:29:18 time: 0.5416 data_time: 0.0404 memory: 13609 grad_norm: 4.2836 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0458 loss: 1.0458 2022/08/02 03:19:54 - mmengine - INFO - Epoch(train) [90][280/940] lr: 6.0000e-04 eta: 1:29:08 time: 0.5039 data_time: 0.0401 memory: 13609 grad_norm: 4.1886 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/08/02 03:20:04 - mmengine - INFO - Epoch(train) [90][300/940] lr: 6.0000e-04 eta: 1:28:57 time: 0.5354 data_time: 0.0349 memory: 13609 grad_norm: 4.2219 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0579 loss: 1.0579 2022/08/02 03:20:14 - mmengine - INFO - Epoch(train) [90][320/940] lr: 6.0000e-04 eta: 1:28:46 time: 0.4899 data_time: 0.0427 memory: 13609 grad_norm: 4.1944 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1647 loss: 1.1647 2022/08/02 03:20:26 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:20:26 - mmengine - INFO - Epoch(train) [90][340/940] lr: 6.0000e-04 eta: 1:28:36 time: 0.6143 data_time: 0.0373 memory: 13609 grad_norm: 4.2244 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0501 loss: 1.0501 2022/08/02 03:20:35 - mmengine - INFO - Epoch(train) [90][360/940] lr: 6.0000e-04 eta: 1:28:25 time: 0.4490 data_time: 0.0414 memory: 13609 grad_norm: 4.1881 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0066 loss: 1.0066 2022/08/02 03:20:46 - mmengine - INFO - Epoch(train) [90][380/940] lr: 6.0000e-04 eta: 1:28:14 time: 0.5409 data_time: 0.0394 memory: 13609 grad_norm: 4.3096 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1712 loss: 1.1712 2022/08/02 03:20:57 - mmengine - INFO - Epoch(train) [90][400/940] lr: 6.0000e-04 eta: 1:28:04 time: 0.5631 data_time: 0.0478 memory: 13609 grad_norm: 4.1893 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1201 loss: 1.1201 2022/08/02 03:21:07 - mmengine - INFO - Epoch(train) [90][420/940] lr: 6.0000e-04 eta: 1:27:53 time: 0.4796 data_time: 0.0376 memory: 13609 grad_norm: 4.2631 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0927 loss: 1.0927 2022/08/02 03:21:19 - mmengine - INFO - Epoch(train) [90][440/940] lr: 6.0000e-04 eta: 1:27:43 time: 0.6179 data_time: 0.0419 memory: 13609 grad_norm: 4.1574 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0759 loss: 1.0759 2022/08/02 03:21:29 - mmengine - INFO - Epoch(train) [90][460/940] lr: 6.0000e-04 eta: 1:27:32 time: 0.4649 data_time: 0.0409 memory: 13609 grad_norm: 4.2453 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/08/02 03:21:39 - mmengine - INFO - Epoch(train) [90][480/940] lr: 6.0000e-04 eta: 1:27:21 time: 0.5189 data_time: 0.0365 memory: 13609 grad_norm: 4.1767 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1051 loss: 1.1051 2022/08/02 03:21:49 - mmengine - INFO - Epoch(train) [90][500/940] lr: 6.0000e-04 eta: 1:27:11 time: 0.4927 data_time: 0.0365 memory: 13609 grad_norm: 4.1983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1436 loss: 1.1436 2022/08/02 03:22:00 - mmengine - INFO - Epoch(train) [90][520/940] lr: 6.0000e-04 eta: 1:27:00 time: 0.5610 data_time: 0.0363 memory: 13609 grad_norm: 4.1307 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0239 loss: 1.0239 2022/08/02 03:22:10 - mmengine - INFO - Epoch(train) [90][540/940] lr: 6.0000e-04 eta: 1:26:49 time: 0.5038 data_time: 0.0465 memory: 13609 grad_norm: 4.1289 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0578 loss: 1.0578 2022/08/02 03:22:21 - mmengine - INFO - Epoch(train) [90][560/940] lr: 6.0000e-04 eta: 1:26:39 time: 0.5330 data_time: 0.0377 memory: 13609 grad_norm: 4.2773 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1335 loss: 1.1335 2022/08/02 03:22:31 - mmengine - INFO - Epoch(train) [90][580/940] lr: 6.0000e-04 eta: 1:26:28 time: 0.5214 data_time: 0.0374 memory: 13609 grad_norm: 4.2790 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1170 loss: 1.1170 2022/08/02 03:22:42 - mmengine - INFO - Epoch(train) [90][600/940] lr: 6.0000e-04 eta: 1:26:17 time: 0.5413 data_time: 0.0347 memory: 13609 grad_norm: 4.1641 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1470 loss: 1.1470 2022/08/02 03:22:53 - mmengine - INFO - Epoch(train) [90][620/940] lr: 6.0000e-04 eta: 1:26:07 time: 0.5383 data_time: 0.0505 memory: 13609 grad_norm: 4.2470 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0511 loss: 1.0511 2022/08/02 03:23:04 - mmengine - INFO - Epoch(train) [90][640/940] lr: 6.0000e-04 eta: 1:25:56 time: 0.5517 data_time: 0.0806 memory: 13609 grad_norm: 4.2684 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2320 loss: 1.2320 2022/08/02 03:23:14 - mmengine - INFO - Epoch(train) [90][660/940] lr: 6.0000e-04 eta: 1:25:45 time: 0.4730 data_time: 0.0430 memory: 13609 grad_norm: 4.1813 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0659 loss: 1.0659 2022/08/02 03:23:23 - mmengine - INFO - Epoch(train) [90][680/940] lr: 6.0000e-04 eta: 1:25:35 time: 0.4905 data_time: 0.0485 memory: 13609 grad_norm: 4.2150 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1219 loss: 1.1219 2022/08/02 03:23:34 - mmengine - INFO - Epoch(train) [90][700/940] lr: 6.0000e-04 eta: 1:25:24 time: 0.5273 data_time: 0.0440 memory: 13609 grad_norm: 4.1692 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1048 loss: 1.1048 2022/08/02 03:23:45 - mmengine - INFO - Epoch(train) [90][720/940] lr: 6.0000e-04 eta: 1:25:13 time: 0.5523 data_time: 0.1952 memory: 13609 grad_norm: 4.2599 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1195 loss: 1.1195 2022/08/02 03:23:55 - mmengine - INFO - Epoch(train) [90][740/940] lr: 6.0000e-04 eta: 1:25:03 time: 0.5028 data_time: 0.0717 memory: 13609 grad_norm: 4.2456 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0094 loss: 1.0094 2022/08/02 03:24:06 - mmengine - INFO - Epoch(train) [90][760/940] lr: 6.0000e-04 eta: 1:24:52 time: 0.5419 data_time: 0.1118 memory: 13609 grad_norm: 4.2714 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1891 loss: 1.1891 2022/08/02 03:24:16 - mmengine - INFO - Epoch(train) [90][780/940] lr: 6.0000e-04 eta: 1:24:41 time: 0.5045 data_time: 0.0943 memory: 13609 grad_norm: 4.1846 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0525 loss: 1.0525 2022/08/02 03:24:28 - mmengine - INFO - Epoch(train) [90][800/940] lr: 6.0000e-04 eta: 1:24:31 time: 0.6193 data_time: 0.0653 memory: 13609 grad_norm: 4.2680 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2222 loss: 1.2222 2022/08/02 03:24:38 - mmengine - INFO - Epoch(train) [90][820/940] lr: 6.0000e-04 eta: 1:24:20 time: 0.4795 data_time: 0.1085 memory: 13609 grad_norm: 4.1243 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1191 loss: 1.1191 2022/08/02 03:24:49 - mmengine - INFO - Epoch(train) [90][840/940] lr: 6.0000e-04 eta: 1:24:10 time: 0.5354 data_time: 0.1150 memory: 13609 grad_norm: 4.2185 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.2252 loss: 1.2252 2022/08/02 03:24:59 - mmengine - INFO - Epoch(train) [90][860/940] lr: 6.0000e-04 eta: 1:23:59 time: 0.5059 data_time: 0.1455 memory: 13609 grad_norm: 4.2030 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0636 loss: 1.0636 2022/08/02 03:25:11 - mmengine - INFO - Epoch(train) [90][880/940] lr: 6.0000e-04 eta: 1:23:49 time: 0.6273 data_time: 0.2108 memory: 13609 grad_norm: 4.2272 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2187 loss: 1.2187 2022/08/02 03:25:19 - mmengine - INFO - Epoch(train) [90][900/940] lr: 6.0000e-04 eta: 1:23:38 time: 0.4001 data_time: 0.0905 memory: 13609 grad_norm: 4.2429 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0143 loss: 1.0143 2022/08/02 03:25:30 - mmengine - INFO - Epoch(train) [90][920/940] lr: 6.0000e-04 eta: 1:23:27 time: 0.5533 data_time: 0.0802 memory: 13609 grad_norm: 4.2313 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1797 loss: 1.1797 2022/08/02 03:25:39 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:25:39 - mmengine - INFO - Epoch(train) [90][940/940] lr: 6.0000e-04 eta: 1:23:16 time: 0.4216 data_time: 0.0973 memory: 13609 grad_norm: 4.4554 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0692 loss: 1.0692 2022/08/02 03:25:39 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/02 03:27:27 - mmengine - INFO - Epoch(val) [90][20/78] eta: 0:05:07 time: 5.2958 data_time: 4.5183 memory: 19674 2022/08/02 03:28:39 - mmengine - INFO - Epoch(val) [90][40/78] eta: 0:02:18 time: 3.6426 data_time: 2.8818 memory: 19674 2022/08/02 03:30:15 - mmengine - INFO - Epoch(val) [90][60/78] eta: 0:01:26 time: 4.7953 data_time: 4.0440 memory: 19674 2022/08/02 03:31:26 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.7122 acc/top5: 0.8978 acc/mean1: 0.7121 2022/08/02 03:31:41 - mmengine - INFO - Epoch(train) [91][20/940] lr: 6.0000e-04 eta: 1:23:06 time: 0.7484 data_time: 0.3022 memory: 19674 grad_norm: 4.2815 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1852 loss: 1.1852 2022/08/02 03:31:51 - mmengine - INFO - Epoch(train) [91][40/940] lr: 6.0000e-04 eta: 1:22:55 time: 0.5027 data_time: 0.0338 memory: 13609 grad_norm: 4.1936 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9497 loss: 0.9497 2022/08/02 03:32:02 - mmengine - INFO - Epoch(train) [91][60/940] lr: 6.0000e-04 eta: 1:22:45 time: 0.5446 data_time: 0.0347 memory: 13609 grad_norm: 4.2688 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0232 loss: 1.0232 2022/08/02 03:32:11 - mmengine - INFO - Epoch(train) [91][80/940] lr: 6.0000e-04 eta: 1:22:34 time: 0.4529 data_time: 0.0341 memory: 13609 grad_norm: 4.1707 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1464 loss: 1.1464 2022/08/02 03:32:23 - mmengine - INFO - Epoch(train) [91][100/940] lr: 6.0000e-04 eta: 1:22:23 time: 0.5723 data_time: 0.0535 memory: 13609 grad_norm: 4.3221 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1857 loss: 1.1857 2022/08/02 03:32:33 - mmengine - INFO - Epoch(train) [91][120/940] lr: 6.0000e-04 eta: 1:22:13 time: 0.5009 data_time: 0.0508 memory: 13609 grad_norm: 4.2030 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0195 loss: 1.0195 2022/08/02 03:32:44 - mmengine - INFO - Epoch(train) [91][140/940] lr: 6.0000e-04 eta: 1:22:02 time: 0.5453 data_time: 0.0377 memory: 13609 grad_norm: 4.2000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0963 loss: 1.0963 2022/08/02 03:32:54 - mmengine - INFO - Epoch(train) [91][160/940] lr: 6.0000e-04 eta: 1:21:51 time: 0.5022 data_time: 0.0669 memory: 13609 grad_norm: 4.2299 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0605 loss: 1.0605 2022/08/02 03:33:07 - mmengine - INFO - Epoch(train) [91][180/940] lr: 6.0000e-04 eta: 1:21:41 time: 0.6330 data_time: 0.0332 memory: 13609 grad_norm: 4.1678 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1959 loss: 1.1959 2022/08/02 03:33:16 - mmengine - INFO - Epoch(train) [91][200/940] lr: 6.0000e-04 eta: 1:21:30 time: 0.4655 data_time: 0.0335 memory: 13609 grad_norm: 4.2541 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0622 loss: 1.0622 2022/08/02 03:33:27 - mmengine - INFO - Epoch(train) [91][220/940] lr: 6.0000e-04 eta: 1:21:20 time: 0.5527 data_time: 0.0371 memory: 13609 grad_norm: 4.2130 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1028 loss: 1.1028 2022/08/02 03:33:36 - mmengine - INFO - Epoch(train) [91][240/940] lr: 6.0000e-04 eta: 1:21:09 time: 0.4572 data_time: 0.0311 memory: 13609 grad_norm: 4.2457 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.1843 loss: 1.1843 2022/08/02 03:33:47 - mmengine - INFO - Epoch(train) [91][260/940] lr: 6.0000e-04 eta: 1:20:58 time: 0.5663 data_time: 0.0401 memory: 13609 grad_norm: 4.2735 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1898 loss: 1.1898 2022/08/02 03:33:57 - mmengine - INFO - Epoch(train) [91][280/940] lr: 6.0000e-04 eta: 1:20:47 time: 0.4608 data_time: 0.0366 memory: 13609 grad_norm: 4.2412 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1466 loss: 1.1466 2022/08/02 03:34:08 - mmengine - INFO - Epoch(train) [91][300/940] lr: 6.0000e-04 eta: 1:20:37 time: 0.5502 data_time: 0.0388 memory: 13609 grad_norm: 4.2416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1416 loss: 1.1416 2022/08/02 03:34:18 - mmengine - INFO - Epoch(train) [91][320/940] lr: 6.0000e-04 eta: 1:20:26 time: 0.5199 data_time: 0.0373 memory: 13609 grad_norm: 4.2323 top1_acc: 0.7812 top5_acc: 0.7812 loss_cls: 1.1128 loss: 1.1128 2022/08/02 03:34:29 - mmengine - INFO - Epoch(train) [91][340/940] lr: 6.0000e-04 eta: 1:20:16 time: 0.5417 data_time: 0.0381 memory: 13609 grad_norm: 4.2076 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1671 loss: 1.1671 2022/08/02 03:34:39 - mmengine - INFO - Epoch(train) [91][360/940] lr: 6.0000e-04 eta: 1:20:05 time: 0.5258 data_time: 0.0381 memory: 13609 grad_norm: 4.2854 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1283 loss: 1.1283 2022/08/02 03:34:49 - mmengine - INFO - Epoch(train) [91][380/940] lr: 6.0000e-04 eta: 1:19:54 time: 0.4976 data_time: 0.0377 memory: 13609 grad_norm: 4.3332 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0910 loss: 1.0910 2022/08/02 03:35:02 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:35:02 - mmengine - INFO - Epoch(train) [91][400/940] lr: 6.0000e-04 eta: 1:19:44 time: 0.6175 data_time: 0.0340 memory: 13609 grad_norm: 4.1922 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0875 loss: 1.0875 2022/08/02 03:35:11 - mmengine - INFO - Epoch(train) [91][420/940] lr: 6.0000e-04 eta: 1:19:33 time: 0.4436 data_time: 0.0352 memory: 13609 grad_norm: 4.1578 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0834 loss: 1.0834 2022/08/02 03:35:22 - mmengine - INFO - Epoch(train) [91][440/940] lr: 6.0000e-04 eta: 1:19:22 time: 0.5680 data_time: 0.0313 memory: 13609 grad_norm: 4.2269 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/08/02 03:35:31 - mmengine - INFO - Epoch(train) [91][460/940] lr: 6.0000e-04 eta: 1:19:12 time: 0.4763 data_time: 0.0555 memory: 13609 grad_norm: 4.2604 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9890 loss: 0.9890 2022/08/02 03:35:43 - mmengine - INFO - Epoch(train) [91][480/940] lr: 6.0000e-04 eta: 1:19:01 time: 0.5541 data_time: 0.0362 memory: 13609 grad_norm: 4.1863 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1023 loss: 1.1023 2022/08/02 03:35:52 - mmengine - INFO - Epoch(train) [91][500/940] lr: 6.0000e-04 eta: 1:18:50 time: 0.4905 data_time: 0.0346 memory: 13609 grad_norm: 4.2446 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0258 loss: 1.0258 2022/08/02 03:36:04 - mmengine - INFO - Epoch(train) [91][520/940] lr: 6.0000e-04 eta: 1:18:40 time: 0.5727 data_time: 0.0376 memory: 13609 grad_norm: 4.1844 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1099 loss: 1.1099 2022/08/02 03:36:14 - mmengine - INFO - Epoch(train) [91][540/940] lr: 6.0000e-04 eta: 1:18:29 time: 0.4913 data_time: 0.0356 memory: 13609 grad_norm: 4.2208 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1131 loss: 1.1131 2022/08/02 03:36:25 - mmengine - INFO - Epoch(train) [91][560/940] lr: 6.0000e-04 eta: 1:18:19 time: 0.5745 data_time: 0.0398 memory: 13609 grad_norm: 4.1926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1239 loss: 1.1239 2022/08/02 03:36:34 - mmengine - INFO - Epoch(train) [91][580/940] lr: 6.0000e-04 eta: 1:18:08 time: 0.4594 data_time: 0.0380 memory: 13609 grad_norm: 4.3664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1128 loss: 1.1128 2022/08/02 03:36:45 - mmengine - INFO - Epoch(train) [91][600/940] lr: 6.0000e-04 eta: 1:17:57 time: 0.5536 data_time: 0.0334 memory: 13609 grad_norm: 4.2079 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0991 loss: 1.0991 2022/08/02 03:36:55 - mmengine - INFO - Epoch(train) [91][620/940] lr: 6.0000e-04 eta: 1:17:47 time: 0.4987 data_time: 0.0335 memory: 13609 grad_norm: 4.1547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0937 loss: 1.0937 2022/08/02 03:37:07 - mmengine - INFO - Epoch(train) [91][640/940] lr: 6.0000e-04 eta: 1:17:36 time: 0.5702 data_time: 0.0361 memory: 13609 grad_norm: 4.1953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0895 loss: 1.0895 2022/08/02 03:37:17 - mmengine - INFO - Epoch(train) [91][660/940] lr: 6.0000e-04 eta: 1:17:25 time: 0.5308 data_time: 0.0389 memory: 13609 grad_norm: 4.2212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0475 loss: 1.0475 2022/08/02 03:37:29 - mmengine - INFO - Epoch(train) [91][680/940] lr: 6.0000e-04 eta: 1:17:15 time: 0.5927 data_time: 0.0392 memory: 13609 grad_norm: 4.2836 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1063 loss: 1.1063 2022/08/02 03:37:39 - mmengine - INFO - Epoch(train) [91][700/940] lr: 6.0000e-04 eta: 1:17:04 time: 0.4707 data_time: 0.0389 memory: 13609 grad_norm: 4.1374 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1378 loss: 1.1378 2022/08/02 03:37:49 - mmengine - INFO - Epoch(train) [91][720/940] lr: 6.0000e-04 eta: 1:16:53 time: 0.5132 data_time: 0.0327 memory: 13609 grad_norm: 4.2289 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0967 loss: 1.0967 2022/08/02 03:37:59 - mmengine - INFO - Epoch(train) [91][740/940] lr: 6.0000e-04 eta: 1:16:43 time: 0.5155 data_time: 0.0359 memory: 13609 grad_norm: 4.2786 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0551 loss: 1.0551 2022/08/02 03:38:09 - mmengine - INFO - Epoch(train) [91][760/940] lr: 6.0000e-04 eta: 1:16:32 time: 0.4984 data_time: 0.0701 memory: 13609 grad_norm: 4.2073 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0861 loss: 1.0861 2022/08/02 03:38:21 - mmengine - INFO - Epoch(train) [91][780/940] lr: 6.0000e-04 eta: 1:16:22 time: 0.5767 data_time: 0.0883 memory: 13609 grad_norm: 4.2128 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1115 loss: 1.1115 2022/08/02 03:38:32 - mmengine - INFO - Epoch(train) [91][800/940] lr: 6.0000e-04 eta: 1:16:11 time: 0.5437 data_time: 0.1099 memory: 13609 grad_norm: 4.2398 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1138 loss: 1.1138 2022/08/02 03:38:41 - mmengine - INFO - Epoch(train) [91][820/940] lr: 6.0000e-04 eta: 1:16:00 time: 0.4807 data_time: 0.1045 memory: 13609 grad_norm: 4.2713 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1041 loss: 1.1041 2022/08/02 03:38:54 - mmengine - INFO - Epoch(train) [91][840/940] lr: 6.0000e-04 eta: 1:15:50 time: 0.6188 data_time: 0.0415 memory: 13609 grad_norm: 4.1837 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0462 loss: 1.0462 2022/08/02 03:39:02 - mmengine - INFO - Epoch(train) [91][860/940] lr: 6.0000e-04 eta: 1:15:39 time: 0.4216 data_time: 0.0344 memory: 13609 grad_norm: 4.3308 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1163 loss: 1.1163 2022/08/02 03:39:13 - mmengine - INFO - Epoch(train) [91][880/940] lr: 6.0000e-04 eta: 1:15:28 time: 0.5373 data_time: 0.0444 memory: 13609 grad_norm: 4.2506 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1741 loss: 1.1741 2022/08/02 03:39:24 - mmengine - INFO - Epoch(train) [91][900/940] lr: 6.0000e-04 eta: 1:15:18 time: 0.5530 data_time: 0.0301 memory: 13609 grad_norm: 4.2673 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0894 loss: 1.0894 2022/08/02 03:39:35 - mmengine - INFO - Epoch(train) [91][920/940] lr: 6.0000e-04 eta: 1:15:07 time: 0.5662 data_time: 0.0459 memory: 13609 grad_norm: 4.3113 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1274 loss: 1.1274 2022/08/02 03:39:45 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:39:45 - mmengine - INFO - Epoch(train) [91][940/940] lr: 6.0000e-04 eta: 1:14:56 time: 0.4769 data_time: 0.0696 memory: 13609 grad_norm: 4.5128 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1919 loss: 1.1919 2022/08/02 03:41:31 - mmengine - INFO - Epoch(val) [91][20/78] eta: 0:05:07 time: 5.3024 data_time: 4.5301 memory: 19674 2022/08/02 03:42:43 - mmengine - INFO - Epoch(val) [91][40/78] eta: 0:02:17 time: 3.6059 data_time: 2.8281 memory: 19674 2022/08/02 03:44:20 - mmengine - INFO - Epoch(val) [91][60/78] eta: 0:01:27 time: 4.8472 data_time: 4.0981 memory: 19674 2022/08/02 03:45:33 - mmengine - INFO - Epoch(val) [91][78/78] acc/top1: 0.7144 acc/top5: 0.8972 acc/mean1: 0.7142 2022/08/02 03:45:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_89.pth is removed 2022/08/02 03:45:35 - mmengine - INFO - The best checkpoint with 0.7144 acc/top1 at 92 epoch is saved to best_acc/top1_epoch_92.pth. 2022/08/02 03:45:48 - mmengine - INFO - Epoch(train) [92][20/940] lr: 6.0000e-04 eta: 1:14:46 time: 0.6814 data_time: 0.3945 memory: 19674 grad_norm: 4.1735 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0474 loss: 1.0474 2022/08/02 03:45:58 - mmengine - INFO - Epoch(train) [92][40/940] lr: 6.0000e-04 eta: 1:14:35 time: 0.4884 data_time: 0.1553 memory: 13609 grad_norm: 4.2028 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1271 loss: 1.1271 2022/08/02 03:46:09 - mmengine - INFO - Epoch(train) [92][60/940] lr: 6.0000e-04 eta: 1:14:25 time: 0.5452 data_time: 0.2490 memory: 13609 grad_norm: 4.1963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/02 03:46:19 - mmengine - INFO - Epoch(train) [92][80/940] lr: 6.0000e-04 eta: 1:14:14 time: 0.4980 data_time: 0.2059 memory: 13609 grad_norm: 4.1816 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1746 loss: 1.1746 2022/08/02 03:46:30 - mmengine - INFO - Epoch(train) [92][100/940] lr: 6.0000e-04 eta: 1:14:03 time: 0.5752 data_time: 0.2684 memory: 13609 grad_norm: 4.2078 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1357 loss: 1.1357 2022/08/02 03:46:40 - mmengine - INFO - Epoch(train) [92][120/940] lr: 6.0000e-04 eta: 1:13:53 time: 0.4615 data_time: 0.1786 memory: 13609 grad_norm: 4.1384 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1029 loss: 1.1029 2022/08/02 03:46:51 - mmengine - INFO - Epoch(train) [92][140/940] lr: 6.0000e-04 eta: 1:13:42 time: 0.5856 data_time: 0.2553 memory: 13609 grad_norm: 4.1401 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1609 loss: 1.1609 2022/08/02 03:47:01 - mmengine - INFO - Epoch(train) [92][160/940] lr: 6.0000e-04 eta: 1:13:31 time: 0.4730 data_time: 0.1747 memory: 13609 grad_norm: 4.2363 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2264 loss: 1.2264 2022/08/02 03:47:13 - mmengine - INFO - Epoch(train) [92][180/940] lr: 6.0000e-04 eta: 1:13:21 time: 0.6112 data_time: 0.3102 memory: 13609 grad_norm: 4.2035 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0774 loss: 1.0774 2022/08/02 03:47:23 - mmengine - INFO - Epoch(train) [92][200/940] lr: 6.0000e-04 eta: 1:13:10 time: 0.5015 data_time: 0.1872 memory: 13609 grad_norm: 4.2956 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/02 03:47:34 - mmengine - INFO - Epoch(train) [92][220/940] lr: 6.0000e-04 eta: 1:13:00 time: 0.5341 data_time: 0.2200 memory: 13609 grad_norm: 4.2292 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0661 loss: 1.0661 2022/08/02 03:47:44 - mmengine - INFO - Epoch(train) [92][240/940] lr: 6.0000e-04 eta: 1:12:49 time: 0.5194 data_time: 0.1562 memory: 13609 grad_norm: 4.3153 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0445 loss: 1.0445 2022/08/02 03:47:55 - mmengine - INFO - Epoch(train) [92][260/940] lr: 6.0000e-04 eta: 1:12:38 time: 0.5171 data_time: 0.1884 memory: 13609 grad_norm: 4.2457 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2711 loss: 1.2711 2022/08/02 03:48:04 - mmengine - INFO - Epoch(train) [92][280/940] lr: 6.0000e-04 eta: 1:12:28 time: 0.4673 data_time: 0.1650 memory: 13609 grad_norm: 4.2942 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1701 loss: 1.1701 2022/08/02 03:48:16 - mmengine - INFO - Epoch(train) [92][300/940] lr: 6.0000e-04 eta: 1:12:17 time: 0.5882 data_time: 0.2692 memory: 13609 grad_norm: 4.2100 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0642 loss: 1.0642 2022/08/02 03:48:25 - mmengine - INFO - Epoch(train) [92][320/940] lr: 6.0000e-04 eta: 1:12:06 time: 0.4523 data_time: 0.1386 memory: 13609 grad_norm: 4.2067 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2291 loss: 1.2291 2022/08/02 03:48:35 - mmengine - INFO - Epoch(train) [92][340/940] lr: 6.0000e-04 eta: 1:11:56 time: 0.5356 data_time: 0.2198 memory: 13609 grad_norm: 4.2241 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0405 loss: 1.0405 2022/08/02 03:48:46 - mmengine - INFO - Epoch(train) [92][360/940] lr: 6.0000e-04 eta: 1:11:45 time: 0.5107 data_time: 0.1866 memory: 13609 grad_norm: 4.2658 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1499 loss: 1.1499 2022/08/02 03:48:57 - mmengine - INFO - Epoch(train) [92][380/940] lr: 6.0000e-04 eta: 1:11:34 time: 0.5794 data_time: 0.0532 memory: 13609 grad_norm: 4.1790 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0913 loss: 1.0913 2022/08/02 03:49:07 - mmengine - INFO - Epoch(train) [92][400/940] lr: 6.0000e-04 eta: 1:11:24 time: 0.4624 data_time: 0.0414 memory: 13609 grad_norm: 4.2638 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0918 loss: 1.0918 2022/08/02 03:49:19 - mmengine - INFO - Epoch(train) [92][420/940] lr: 6.0000e-04 eta: 1:11:13 time: 0.6105 data_time: 0.0329 memory: 13609 grad_norm: 4.2511 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/02 03:49:28 - mmengine - INFO - Epoch(train) [92][440/940] lr: 6.0000e-04 eta: 1:11:02 time: 0.4599 data_time: 0.0417 memory: 13609 grad_norm: 4.2649 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1432 loss: 1.1432 2022/08/02 03:49:40 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:49:40 - mmengine - INFO - Epoch(train) [92][460/940] lr: 6.0000e-04 eta: 1:10:52 time: 0.5943 data_time: 0.0293 memory: 13609 grad_norm: 4.3181 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1695 loss: 1.1695 2022/08/02 03:49:49 - mmengine - INFO - Epoch(train) [92][480/940] lr: 6.0000e-04 eta: 1:10:41 time: 0.4583 data_time: 0.0419 memory: 13609 grad_norm: 4.2860 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/08/02 03:50:01 - mmengine - INFO - Epoch(train) [92][500/940] lr: 6.0000e-04 eta: 1:10:31 time: 0.5774 data_time: 0.0394 memory: 13609 grad_norm: 4.1631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0104 loss: 1.0104 2022/08/02 03:50:10 - mmengine - INFO - Epoch(train) [92][520/940] lr: 6.0000e-04 eta: 1:10:20 time: 0.4838 data_time: 0.0354 memory: 13609 grad_norm: 4.2412 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1238 loss: 1.1238 2022/08/02 03:50:22 - mmengine - INFO - Epoch(train) [92][540/940] lr: 6.0000e-04 eta: 1:10:09 time: 0.5867 data_time: 0.0314 memory: 13609 grad_norm: 4.2334 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0364 loss: 1.0364 2022/08/02 03:50:32 - mmengine - INFO - Epoch(train) [92][560/940] lr: 6.0000e-04 eta: 1:09:59 time: 0.5036 data_time: 0.0390 memory: 13609 grad_norm: 4.2343 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1392 loss: 1.1392 2022/08/02 03:50:44 - mmengine - INFO - Epoch(train) [92][580/940] lr: 6.0000e-04 eta: 1:09:48 time: 0.5695 data_time: 0.0460 memory: 13609 grad_norm: 4.1511 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.1490 loss: 1.1490 2022/08/02 03:50:54 - mmengine - INFO - Epoch(train) [92][600/940] lr: 6.0000e-04 eta: 1:09:37 time: 0.5397 data_time: 0.0287 memory: 13609 grad_norm: 4.2170 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9776 loss: 0.9776 2022/08/02 03:51:05 - mmengine - INFO - Epoch(train) [92][620/940] lr: 6.0000e-04 eta: 1:09:27 time: 0.5109 data_time: 0.0370 memory: 13609 grad_norm: 4.2130 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1096 loss: 1.1096 2022/08/02 03:51:15 - mmengine - INFO - Epoch(train) [92][640/940] lr: 6.0000e-04 eta: 1:09:16 time: 0.5175 data_time: 0.0413 memory: 13609 grad_norm: 4.3519 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0846 loss: 1.0846 2022/08/02 03:51:28 - mmengine - INFO - Epoch(train) [92][660/940] lr: 6.0000e-04 eta: 1:09:06 time: 0.6539 data_time: 0.0322 memory: 13609 grad_norm: 4.3525 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0663 loss: 1.0663 2022/08/02 03:51:36 - mmengine - INFO - Epoch(train) [92][680/940] lr: 6.0000e-04 eta: 1:08:55 time: 0.4185 data_time: 0.0358 memory: 13609 grad_norm: 4.3772 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1787 loss: 1.1787 2022/08/02 03:51:47 - mmengine - INFO - Epoch(train) [92][700/940] lr: 6.0000e-04 eta: 1:08:44 time: 0.5294 data_time: 0.0358 memory: 13609 grad_norm: 4.2522 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0283 loss: 1.0283 2022/08/02 03:51:58 - mmengine - INFO - Epoch(train) [92][720/940] lr: 6.0000e-04 eta: 1:08:34 time: 0.5305 data_time: 0.0416 memory: 13609 grad_norm: 4.3386 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1894 loss: 1.1894 2022/08/02 03:52:10 - mmengine - INFO - Epoch(train) [92][740/940] lr: 6.0000e-04 eta: 1:08:23 time: 0.6013 data_time: 0.0353 memory: 13609 grad_norm: 4.2587 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0003 loss: 1.0003 2022/08/02 03:52:19 - mmengine - INFO - Epoch(train) [92][760/940] lr: 6.0000e-04 eta: 1:08:12 time: 0.4456 data_time: 0.0363 memory: 13609 grad_norm: 4.3095 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1173 loss: 1.1173 2022/08/02 03:52:31 - mmengine - INFO - Epoch(train) [92][780/940] lr: 6.0000e-04 eta: 1:08:02 time: 0.6108 data_time: 0.0374 memory: 13609 grad_norm: 4.2659 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0532 loss: 1.0532 2022/08/02 03:52:41 - mmengine - INFO - Epoch(train) [92][800/940] lr: 6.0000e-04 eta: 1:07:51 time: 0.5083 data_time: 0.0360 memory: 13609 grad_norm: 4.2421 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1751 loss: 1.1751 2022/08/02 03:52:53 - mmengine - INFO - Epoch(train) [92][820/940] lr: 6.0000e-04 eta: 1:07:41 time: 0.5778 data_time: 0.0343 memory: 13609 grad_norm: 4.2503 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0782 loss: 1.0782 2022/08/02 03:53:02 - mmengine - INFO - Epoch(train) [92][840/940] lr: 6.0000e-04 eta: 1:07:30 time: 0.4497 data_time: 0.0438 memory: 13609 grad_norm: 4.2806 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/08/02 03:53:14 - mmengine - INFO - Epoch(train) [92][860/940] lr: 6.0000e-04 eta: 1:07:19 time: 0.6231 data_time: 0.0370 memory: 13609 grad_norm: 4.2145 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1169 loss: 1.1169 2022/08/02 03:53:24 - mmengine - INFO - Epoch(train) [92][880/940] lr: 6.0000e-04 eta: 1:07:09 time: 0.4937 data_time: 0.0536 memory: 13609 grad_norm: 4.3191 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0956 loss: 1.0956 2022/08/02 03:53:34 - mmengine - INFO - Epoch(train) [92][900/940] lr: 6.0000e-04 eta: 1:06:58 time: 0.5280 data_time: 0.0363 memory: 13609 grad_norm: 4.3342 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1625 loss: 1.1625 2022/08/02 03:53:46 - mmengine - INFO - Epoch(train) [92][920/940] lr: 6.0000e-04 eta: 1:06:47 time: 0.5554 data_time: 0.0387 memory: 13609 grad_norm: 4.2387 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1316 loss: 1.1316 2022/08/02 03:53:54 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 03:53:54 - mmengine - INFO - Epoch(train) [92][940/940] lr: 6.0000e-04 eta: 1:06:37 time: 0.4379 data_time: 0.0275 memory: 13609 grad_norm: 4.4007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/08/02 03:55:41 - mmengine - INFO - Epoch(val) [92][20/78] eta: 0:05:08 time: 5.3210 data_time: 4.5523 memory: 19674 2022/08/02 03:56:53 - mmengine - INFO - Epoch(val) [92][40/78] eta: 0:02:17 time: 3.6057 data_time: 2.8304 memory: 19674 2022/08/02 03:58:29 - mmengine - INFO - Epoch(val) [92][60/78] eta: 0:01:26 time: 4.7902 data_time: 4.0367 memory: 19674 2022/08/02 03:59:42 - mmengine - INFO - Epoch(val) [92][78/78] acc/top1: 0.7154 acc/top5: 0.8971 acc/mean1: 0.7153 2022/08/02 03:59:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_dense_1x1x5_100e_kinetics400_rgb.py/best_acc/top1_epoch_92.pth is removed 2022/08/02 03:59:43 - mmengine - INFO - The best checkpoint with 0.7154 acc/top1 at 93 epoch is saved to best_acc/top1_epoch_93.pth. 2022/08/02 03:59:57 - mmengine - INFO - Epoch(train) [93][20/940] lr: 6.0000e-04 eta: 1:06:26 time: 0.7144 data_time: 0.4425 memory: 19674 grad_norm: 4.1109 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0091 loss: 1.0091 2022/08/02 04:00:07 - mmengine - INFO - Epoch(train) [93][40/940] lr: 6.0000e-04 eta: 1:06:16 time: 0.4783 data_time: 0.0877 memory: 13609 grad_norm: 4.2574 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1637 loss: 1.1637 2022/08/02 04:00:17 - mmengine - INFO - Epoch(train) [93][60/940] lr: 6.0000e-04 eta: 1:06:05 time: 0.5233 data_time: 0.1649 memory: 13609 grad_norm: 4.3190 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1895 loss: 1.1895 2022/08/02 04:00:27 - mmengine - INFO - Epoch(train) [93][80/940] lr: 6.0000e-04 eta: 1:05:54 time: 0.4716 data_time: 0.1670 memory: 13609 grad_norm: 4.2550 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0717 loss: 1.0717 2022/08/02 04:00:38 - mmengine - INFO - Epoch(train) [93][100/940] lr: 6.0000e-04 eta: 1:05:44 time: 0.5691 data_time: 0.2511 memory: 13609 grad_norm: 4.1703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0737 loss: 1.0737 2022/08/02 04:00:48 - mmengine - INFO - Epoch(train) [93][120/940] lr: 6.0000e-04 eta: 1:05:33 time: 0.5035 data_time: 0.1170 memory: 13609 grad_norm: 4.2841 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1248 loss: 1.1248 2022/08/02 04:00:59 - mmengine - INFO - Epoch(train) [93][140/940] lr: 6.0000e-04 eta: 1:05:22 time: 0.5656 data_time: 0.0495 memory: 13609 grad_norm: 4.3355 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1768 loss: 1.1768 2022/08/02 04:01:10 - mmengine - INFO - Epoch(train) [93][160/940] lr: 6.0000e-04 eta: 1:05:12 time: 0.5289 data_time: 0.1197 memory: 13609 grad_norm: 4.1952 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 0.9669 loss: 0.9669 2022/08/02 04:01:21 - mmengine - INFO - Epoch(train) [93][180/940] lr: 6.0000e-04 eta: 1:05:01 time: 0.5304 data_time: 0.0703 memory: 13609 grad_norm: 4.3179 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1895 loss: 1.1895 2022/08/02 04:01:31 - mmengine - INFO - Epoch(train) [93][200/940] lr: 6.0000e-04 eta: 1:04:50 time: 0.5003 data_time: 0.0934 memory: 13609 grad_norm: 4.2084 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/08/02 04:01:42 - mmengine - INFO - Epoch(train) [93][220/940] lr: 6.0000e-04 eta: 1:04:40 time: 0.5597 data_time: 0.0593 memory: 13609 grad_norm: 4.2626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/08/02 04:01:52 - mmengine - INFO - Epoch(train) [93][240/940] lr: 6.0000e-04 eta: 1:04:29 time: 0.4907 data_time: 0.0360 memory: 13609 grad_norm: 4.3140 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1488 loss: 1.1488 2022/08/02 04:02:03 - mmengine - INFO - Epoch(train) [93][260/940] lr: 6.0000e-04 eta: 1:04:19 time: 0.5488 data_time: 0.0595 memory: 13609 grad_norm: 4.2594 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1554 loss: 1.1554 2022/08/02 04:02:13 - mmengine - INFO - Epoch(train) [93][280/940] lr: 6.0000e-04 eta: 1:04:08 time: 0.5111 data_time: 0.0833 memory: 13609 grad_norm: 4.1670 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 0.9750 loss: 0.9750 2022/08/02 04:02:24 - mmengine - INFO - Epoch(train) [93][300/940] lr: 6.0000e-04 eta: 1:03:57 time: 0.5624 data_time: 0.1345 memory: 13609 grad_norm: 4.2748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/08/02 04:02:33 - mmengine - INFO - Epoch(train) [93][320/940] lr: 6.0000e-04 eta: 1:03:47 time: 0.4667 data_time: 0.0324 memory: 13609 grad_norm: 4.1778 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0084 loss: 1.0084 2022/08/02 04:02:46 - mmengine - INFO - Epoch(train) [93][340/940] lr: 6.0000e-04 eta: 1:03:36 time: 0.6255 data_time: 0.0315 memory: 13609 grad_norm: 4.3241 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1156 loss: 1.1156 2022/08/02 04:02:55 - mmengine - INFO - Epoch(train) [93][360/940] lr: 6.0000e-04 eta: 1:03:25 time: 0.4494 data_time: 0.0336 memory: 13609 grad_norm: 4.2916 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1751 loss: 1.1751 2022/08/02 04:03:06 - mmengine - INFO - Epoch(train) [93][380/940] lr: 6.0000e-04 eta: 1:03:15 time: 0.5715 data_time: 0.0334 memory: 13609 grad_norm: 4.2858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0438 loss: 1.0438 2022/08/02 04:03:16 - mmengine - INFO - Epoch(train) [93][400/940] lr: 6.0000e-04 eta: 1:03:04 time: 0.5032 data_time: 0.0363 memory: 13609 grad_norm: 4.2511 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/08/02 04:03:28 - mmengine - INFO - Epoch(train) [93][420/940] lr: 6.0000e-04 eta: 1:02:54 time: 0.5653 data_time: 0.0345 memory: 13609 grad_norm: 4.2412 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1196 loss: 1.1196 2022/08/02 04:03:37 - mmengine - INFO - Epoch(train) [93][440/940] lr: 6.0000e-04 eta: 1:02:43 time: 0.4619 data_time: 0.0552 memory: 13609 grad_norm: 4.2651 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1612 loss: 1.1612 2022/08/02 04:03:48 - mmengine - INFO - Epoch(train) [93][460/940] lr: 6.0000e-04 eta: 1:02:32 time: 0.5468 data_time: 0.0382 memory: 13609 grad_norm: 4.3001 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0488 loss: 1.0488 2022/08/02 04:03:58 - mmengine - INFO - Epoch(train) [93][480/940] lr: 6.0000e-04 eta: 1:02:22 time: 0.4929 data_time: 0.0428 memory: 13609 grad_norm: 4.3176 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.1034 loss: 1.1034 2022/08/02 04:04:08 - mmengine - INFO - Epoch(train) [93][500/940] lr: 6.0000e-04 eta: 1:02:11 time: 0.5308 data_time: 0.0362 memory: 13609 grad_norm: 4.2643 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0510 loss: 1.0510 2022/08/02 04:04:18 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:04:18 - mmengine - INFO - Epoch(train) [93][520/940] lr: 6.0000e-04 eta: 1:02:00 time: 0.4824 data_time: 0.0318 memory: 13609 grad_norm: 4.2852 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1542 loss: 1.1542 2022/08/02 04:04:29 - mmengine - INFO - Epoch(train) [93][540/940] lr: 6.0000e-04 eta: 1:01:50 time: 0.5539 data_time: 0.0332 memory: 13609 grad_norm: 4.2004 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0030 loss: 1.0030 2022/08/02 04:04:40 - mmengine - INFO - Epoch(train) [93][560/940] lr: 6.0000e-04 eta: 1:01:39 time: 0.5192 data_time: 0.0349 memory: 13609 grad_norm: 4.2045 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1134 loss: 1.1134 2022/08/02 04:04:51 - mmengine - INFO - Epoch(train) [93][580/940] lr: 6.0000e-04 eta: 1:01:28 time: 0.5474 data_time: 0.0327 memory: 13609 grad_norm: 4.1617 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1114 loss: 1.1114 2022/08/02 04:05:00 - mmengine - INFO - Epoch(train) [93][600/940] lr: 6.0000e-04 eta: 1:01:18 time: 0.4852 data_time: 0.0350 memory: 13609 grad_norm: 4.3046 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0437 loss: 1.0437 2022/08/02 04:05:11 - mmengine - INFO - Epoch(train) [93][620/940] lr: 6.0000e-04 eta: 1:01:07 time: 0.5172 data_time: 0.0354 memory: 13609 grad_norm: 4.1606 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.1274 loss: 1.1274 2022/08/02 04:05:21 - mmengine - INFO - Epoch(train) [93][640/940] lr: 6.0000e-04 eta: 1:00:56 time: 0.5119 data_time: 0.0313 memory: 13609 grad_norm: 4.2267 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1279 loss: 1.1279 2022/08/02 04:05:32 - mmengine - INFO - Epoch(train) [93][660/940] lr: 6.0000e-04 eta: 1:00:46 time: 0.5435 data_time: 0.0717 memory: 13609 grad_norm: 4.2320 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0858 loss: 1.0858 2022/08/02 04:05:41 - mmengine - INFO - Epoch(train) [93][680/940] lr: 6.0000e-04 eta: 1:00:35 time: 0.4880 data_time: 0.0327 memory: 13609 grad_norm: 4.2927 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0857 loss: 1.0857 2022/08/02 04:05:53 - mmengine - INFO - Epoch(train) [93][700/940] lr: 6.0000e-04 eta: 1:00:24 time: 0.5626 data_time: 0.0398 memory: 13609 grad_norm: 4.2798 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0558 loss: 1.0558 2022/08/02 04:06:03 - mmengine - INFO - Epoch(train) [93][720/940] lr: 6.0000e-04 eta: 1:00:14 time: 0.5207 data_time: 0.0402 memory: 13609 grad_norm: 4.2182 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1444 loss: 1.1444 2022/08/02 04:06:15 - mmengine - INFO - Epoch(train) [93][740/940] lr: 6.0000e-04 eta: 1:00:03 time: 0.6055 data_time: 0.0472 memory: 13609 grad_norm: 4.3414 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1224 loss: 1.1224 2022/08/02 04:06:26 - mmengine - INFO - Epoch(train) [93][760/940] lr: 6.0000e-04 eta: 0:59:53 time: 0.5138 data_time: 0.0292 memory: 13609 grad_norm: 4.2504 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0899 loss: 1.0899 2022/08/02 04:06:38 - mmengine - INFO - Epoch(train) [93][780/940] lr: 6.0000e-04 eta: 0:59:42 time: 0.5991 data_time: 0.0558 memory: 13609 grad_norm: 4.1702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0397 loss: 1.0397 2022/08/02 04:06:47 - mmengine - INFO - Epoch(train) [93][800/940] lr: 6.0000e-04 eta: 0:59:31 time: 0.4758 data_time: 0.0322 memory: 13609 grad_norm: 4.2746 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1045 loss: 1.1045 2022/08/02 04:06:57 - mmengine - INFO - Epoch(train) [93][820/940] lr: 6.0000e-04 eta: 0:59:21 time: 0.5180 data_time: 0.0374 memory: 13609 grad_norm: 4.3507 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/08/02 04:07:07 - mmengine - INFO - Epoch(train) [93][840/940] lr: 6.0000e-04 eta: 0:59:10 time: 0.4536 data_time: 0.0335 memory: 13609 grad_norm: 4.1435 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1558 loss: 1.1558 2022/08/02 04:07:17 - mmengine - INFO - Epoch(train) [93][860/940] lr: 6.0000e-04 eta: 0:58:59 time: 0.5425 data_time: 0.1011 memory: 13609 grad_norm: 4.2728 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9944 loss: 0.9944 2022/08/02 04:07:27 - mmengine - INFO - Epoch(train) [93][880/940] lr: 6.0000e-04 eta: 0:58:49 time: 0.4979 data_time: 0.0317 memory: 13609 grad_norm: 4.2511 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0932 loss: 1.0932 2022/08/02 04:07:39 - mmengine - INFO - Epoch(train) [93][900/940] lr: 6.0000e-04 eta: 0:58:38 time: 0.5678 data_time: 0.0363 memory: 13609 grad_norm: 4.3051 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1241 loss: 1.1241 2022/08/02 04:07:50 - mmengine - INFO - Epoch(train) [93][920/940] lr: 6.0000e-04 eta: 0:58:27 time: 0.5444 data_time: 0.0345 memory: 13609 grad_norm: 4.1953 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1627 loss: 1.1627 2022/08/02 04:07:58 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:07:58 - mmengine - INFO - Epoch(train) [93][940/940] lr: 6.0000e-04 eta: 0:58:17 time: 0.4394 data_time: 0.0281 memory: 13609 grad_norm: 4.4620 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.2190 loss: 1.2190 2022/08/02 04:07:58 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/02 04:09:47 - mmengine - INFO - Epoch(val) [93][20/78] eta: 0:05:07 time: 5.2956 data_time: 4.5348 memory: 19674 2022/08/02 04:11:00 - mmengine - INFO - Epoch(val) [93][40/78] eta: 0:02:18 time: 3.6406 data_time: 2.8799 memory: 19674 2022/08/02 04:12:34 - mmengine - INFO - Epoch(val) [93][60/78] eta: 0:01:25 time: 4.7413 data_time: 3.9727 memory: 19674 2022/08/02 04:13:46 - mmengine - INFO - Epoch(val) [93][78/78] acc/top1: 0.7127 acc/top5: 0.8965 acc/mean1: 0.7126 2022/08/02 04:14:00 - mmengine - INFO - Epoch(train) [94][20/940] lr: 6.0000e-04 eta: 0:58:06 time: 0.6903 data_time: 0.3358 memory: 19674 grad_norm: 4.2461 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/08/02 04:14:10 - mmengine - INFO - Epoch(train) [94][40/940] lr: 6.0000e-04 eta: 0:57:56 time: 0.4942 data_time: 0.0975 memory: 13609 grad_norm: 4.2449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9299 loss: 0.9299 2022/08/02 04:14:21 - mmengine - INFO - Epoch(train) [94][60/940] lr: 6.0000e-04 eta: 0:57:45 time: 0.5817 data_time: 0.1619 memory: 13609 grad_norm: 4.2513 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2423 loss: 1.2423 2022/08/02 04:14:31 - mmengine - INFO - Epoch(train) [94][80/940] lr: 6.0000e-04 eta: 0:57:34 time: 0.4724 data_time: 0.1131 memory: 13609 grad_norm: 4.2846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0924 loss: 1.0924 2022/08/02 04:14:42 - mmengine - INFO - Epoch(train) [94][100/940] lr: 6.0000e-04 eta: 0:57:24 time: 0.5747 data_time: 0.1523 memory: 13609 grad_norm: 4.2868 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/08/02 04:14:53 - mmengine - INFO - Epoch(train) [94][120/940] lr: 6.0000e-04 eta: 0:57:13 time: 0.5056 data_time: 0.1104 memory: 13609 grad_norm: 4.1538 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0055 loss: 1.0055 2022/08/02 04:15:04 - mmengine - INFO - Epoch(train) [94][140/940] lr: 6.0000e-04 eta: 0:57:03 time: 0.5618 data_time: 0.0494 memory: 13609 grad_norm: 4.3840 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1508 loss: 1.1508 2022/08/02 04:15:14 - mmengine - INFO - Epoch(train) [94][160/940] lr: 6.0000e-04 eta: 0:56:52 time: 0.5083 data_time: 0.0361 memory: 13609 grad_norm: 4.2471 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0576 loss: 1.0576 2022/08/02 04:15:26 - mmengine - INFO - Epoch(train) [94][180/940] lr: 6.0000e-04 eta: 0:56:41 time: 0.5789 data_time: 0.0397 memory: 13609 grad_norm: 4.2576 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1339 loss: 1.1339 2022/08/02 04:15:35 - mmengine - INFO - Epoch(train) [94][200/940] lr: 6.0000e-04 eta: 0:56:31 time: 0.4809 data_time: 0.0359 memory: 13609 grad_norm: 4.3423 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1280 loss: 1.1280 2022/08/02 04:15:47 - mmengine - INFO - Epoch(train) [94][220/940] lr: 6.0000e-04 eta: 0:56:20 time: 0.5917 data_time: 0.0329 memory: 13609 grad_norm: 4.2620 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0844 loss: 1.0844 2022/08/02 04:15:56 - mmengine - INFO - Epoch(train) [94][240/940] lr: 6.0000e-04 eta: 0:56:09 time: 0.4527 data_time: 0.0399 memory: 13609 grad_norm: 4.2206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9964 loss: 0.9964 2022/08/02 04:16:07 - mmengine - INFO - Epoch(train) [94][260/940] lr: 6.0000e-04 eta: 0:55:59 time: 0.5690 data_time: 0.0300 memory: 13609 grad_norm: 4.3186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2049 loss: 1.2049 2022/08/02 04:16:18 - mmengine - INFO - Epoch(train) [94][280/940] lr: 6.0000e-04 eta: 0:55:48 time: 0.5209 data_time: 0.0465 memory: 13609 grad_norm: 4.2120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/08/02 04:16:28 - mmengine - INFO - Epoch(train) [94][300/940] lr: 6.0000e-04 eta: 0:55:37 time: 0.5120 data_time: 0.0331 memory: 13609 grad_norm: 4.2366 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1259 loss: 1.1259 2022/08/02 04:16:38 - mmengine - INFO - Epoch(train) [94][320/940] lr: 6.0000e-04 eta: 0:55:27 time: 0.4949 data_time: 0.0393 memory: 13609 grad_norm: 4.1800 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0322 loss: 1.0322 2022/08/02 04:16:50 - mmengine - INFO - Epoch(train) [94][340/940] lr: 6.0000e-04 eta: 0:55:16 time: 0.6073 data_time: 0.0320 memory: 13609 grad_norm: 4.4046 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1265 loss: 1.1265 2022/08/02 04:17:00 - mmengine - INFO - Epoch(train) [94][360/940] lr: 6.0000e-04 eta: 0:55:06 time: 0.4869 data_time: 0.0643 memory: 13609 grad_norm: 4.2272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9581 loss: 0.9581 2022/08/02 04:17:10 - mmengine - INFO - Epoch(train) [94][380/940] lr: 6.0000e-04 eta: 0:54:55 time: 0.5225 data_time: 0.0342 memory: 13609 grad_norm: 4.2912 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9664 loss: 0.9664 2022/08/02 04:17:20 - mmengine - INFO - Epoch(train) [94][400/940] lr: 6.0000e-04 eta: 0:54:44 time: 0.4767 data_time: 0.0350 memory: 13609 grad_norm: 4.2510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/08/02 04:17:31 - mmengine - INFO - Epoch(train) [94][420/940] lr: 6.0000e-04 eta: 0:54:34 time: 0.5595 data_time: 0.0621 memory: 13609 grad_norm: 4.2584 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1902 loss: 1.1902 2022/08/02 04:17:41 - mmengine - INFO - Epoch(train) [94][440/940] lr: 6.0000e-04 eta: 0:54:23 time: 0.4680 data_time: 0.0358 memory: 13609 grad_norm: 4.2711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2392 loss: 1.2392 2022/08/02 04:17:53 - mmengine - INFO - Epoch(train) [94][460/940] lr: 6.0000e-04 eta: 0:54:12 time: 0.6353 data_time: 0.0336 memory: 13609 grad_norm: 4.2928 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/02 04:18:03 - mmengine - INFO - Epoch(train) [94][480/940] lr: 6.0000e-04 eta: 0:54:02 time: 0.5080 data_time: 0.0334 memory: 13609 grad_norm: 4.2450 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1508 loss: 1.1508 2022/08/02 04:18:13 - mmengine - INFO - Epoch(train) [94][500/940] lr: 6.0000e-04 eta: 0:53:51 time: 0.5024 data_time: 0.0373 memory: 13609 grad_norm: 4.3450 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0697 loss: 1.0697 2022/08/02 04:18:24 - mmengine - INFO - Epoch(train) [94][520/940] lr: 6.0000e-04 eta: 0:53:40 time: 0.5364 data_time: 0.0349 memory: 13609 grad_norm: 4.3006 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1064 loss: 1.1064 2022/08/02 04:18:35 - mmengine - INFO - Epoch(train) [94][540/940] lr: 6.0000e-04 eta: 0:53:30 time: 0.5512 data_time: 0.0338 memory: 13609 grad_norm: 4.2697 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1097 loss: 1.1097 2022/08/02 04:18:45 - mmengine - INFO - Epoch(train) [94][560/940] lr: 6.0000e-04 eta: 0:53:19 time: 0.4906 data_time: 0.0337 memory: 13609 grad_norm: 4.2776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0424 loss: 1.0424 2022/08/02 04:18:56 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:18:56 - mmengine - INFO - Epoch(train) [94][580/940] lr: 6.0000e-04 eta: 0:53:09 time: 0.5242 data_time: 0.0330 memory: 13609 grad_norm: 4.2924 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9645 loss: 0.9645 2022/08/02 04:19:05 - mmengine - INFO - Epoch(train) [94][600/940] lr: 6.0000e-04 eta: 0:52:58 time: 0.4922 data_time: 0.0365 memory: 13609 grad_norm: 4.3504 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1584 loss: 1.1584 2022/08/02 04:19:16 - mmengine - INFO - Epoch(train) [94][620/940] lr: 6.0000e-04 eta: 0:52:47 time: 0.5477 data_time: 0.0306 memory: 13609 grad_norm: 4.2372 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9839 loss: 0.9839 2022/08/02 04:19:26 - mmengine - INFO - Epoch(train) [94][640/940] lr: 6.0000e-04 eta: 0:52:37 time: 0.4977 data_time: 0.0360 memory: 13609 grad_norm: 4.2879 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1320 loss: 1.1320 2022/08/02 04:19:38 - mmengine - INFO - Epoch(train) [94][660/940] lr: 6.0000e-04 eta: 0:52:26 time: 0.5686 data_time: 0.0368 memory: 13609 grad_norm: 4.3289 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0707 loss: 1.0707 2022/08/02 04:19:48 - mmengine - INFO - Epoch(train) [94][680/940] lr: 6.0000e-04 eta: 0:52:15 time: 0.5332 data_time: 0.0389 memory: 13609 grad_norm: 4.3926 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2062 loss: 1.2062 2022/08/02 04:19:58 - mmengine - INFO - Epoch(train) [94][700/940] lr: 6.0000e-04 eta: 0:52:05 time: 0.4915 data_time: 0.0376 memory: 13609 grad_norm: 4.3369 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/02 04:20:09 - mmengine - INFO - Epoch(train) [94][720/940] lr: 6.0000e-04 eta: 0:51:54 time: 0.5260 data_time: 0.0536 memory: 13609 grad_norm: 4.2913 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/08/02 04:20:19 - mmengine - INFO - Epoch(train) [94][740/940] lr: 6.0000e-04 eta: 0:51:43 time: 0.5218 data_time: 0.0341 memory: 13609 grad_norm: 4.3900 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/08/02 04:20:30 - mmengine - INFO - Epoch(train) [94][760/940] lr: 6.0000e-04 eta: 0:51:33 time: 0.5404 data_time: 0.0362 memory: 13609 grad_norm: 4.3368 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0751 loss: 1.0751 2022/08/02 04:20:40 - mmengine - INFO - Epoch(train) [94][780/940] lr: 6.0000e-04 eta: 0:51:22 time: 0.5125 data_time: 0.0396 memory: 13609 grad_norm: 4.1697 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0653 loss: 1.0653 2022/08/02 04:20:50 - mmengine - INFO - Epoch(train) [94][800/940] lr: 6.0000e-04 eta: 0:51:11 time: 0.5025 data_time: 0.0402 memory: 13609 grad_norm: 4.2119 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0827 loss: 1.0827 2022/08/02 04:21:02 - mmengine - INFO - Epoch(train) [94][820/940] lr: 6.0000e-04 eta: 0:51:01 time: 0.5871 data_time: 0.0381 memory: 13609 grad_norm: 4.4225 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1593 loss: 1.1593 2022/08/02 04:21:12 - mmengine - INFO - Epoch(train) [94][840/940] lr: 6.0000e-04 eta: 0:50:50 time: 0.4792 data_time: 0.0341 memory: 13609 grad_norm: 4.2989 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0960 loss: 1.0960 2022/08/02 04:21:24 - mmengine - INFO - Epoch(train) [94][860/940] lr: 6.0000e-04 eta: 0:50:40 time: 0.5958 data_time: 0.0353 memory: 13609 grad_norm: 4.2648 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9819 loss: 0.9819 2022/08/02 04:21:33 - mmengine - INFO - Epoch(train) [94][880/940] lr: 6.0000e-04 eta: 0:50:29 time: 0.4737 data_time: 0.0344 memory: 13609 grad_norm: 4.2804 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0374 loss: 1.0374 2022/08/02 04:21:44 - mmengine - INFO - Epoch(train) [94][900/940] lr: 6.0000e-04 eta: 0:50:18 time: 0.5265 data_time: 0.0375 memory: 13609 grad_norm: 4.2784 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9826 loss: 0.9826 2022/08/02 04:21:53 - mmengine - INFO - Epoch(train) [94][920/940] lr: 6.0000e-04 eta: 0:50:08 time: 0.4805 data_time: 0.0587 memory: 13609 grad_norm: 4.1980 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1307 loss: 1.1307 2022/08/02 04:22:03 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:22:03 - mmengine - INFO - Epoch(train) [94][940/940] lr: 6.0000e-04 eta: 0:49:57 time: 0.4731 data_time: 0.0929 memory: 13609 grad_norm: 4.5997 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/08/02 04:23:48 - mmengine - INFO - Epoch(val) [94][20/78] eta: 0:05:05 time: 5.2596 data_time: 4.4808 memory: 19674 2022/08/02 04:25:01 - mmengine - INFO - Epoch(val) [94][40/78] eta: 0:02:18 time: 3.6415 data_time: 2.8730 memory: 19674 2022/08/02 04:26:36 - mmengine - INFO - Epoch(val) [94][60/78] eta: 0:01:26 time: 4.7795 data_time: 4.0135 memory: 19674 2022/08/02 04:27:50 - mmengine - INFO - Epoch(val) [94][78/78] acc/top1: 0.7114 acc/top5: 0.8968 acc/mean1: 0.7113 2022/08/02 04:28:04 - mmengine - INFO - Epoch(train) [95][20/940] lr: 6.0000e-04 eta: 0:49:46 time: 0.7117 data_time: 0.2623 memory: 19674 grad_norm: 4.1500 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/08/02 04:28:14 - mmengine - INFO - Epoch(train) [95][40/940] lr: 6.0000e-04 eta: 0:49:36 time: 0.4877 data_time: 0.0410 memory: 13609 grad_norm: 4.2033 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0814 loss: 1.0814 2022/08/02 04:28:26 - mmengine - INFO - Epoch(train) [95][60/940] lr: 6.0000e-04 eta: 0:49:25 time: 0.5675 data_time: 0.0362 memory: 13609 grad_norm: 4.2989 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1590 loss: 1.1590 2022/08/02 04:28:35 - mmengine - INFO - Epoch(train) [95][80/940] lr: 6.0000e-04 eta: 0:49:15 time: 0.4852 data_time: 0.0356 memory: 13609 grad_norm: 4.1936 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0791 loss: 1.0791 2022/08/02 04:28:47 - mmengine - INFO - Epoch(train) [95][100/940] lr: 6.0000e-04 eta: 0:49:04 time: 0.5863 data_time: 0.0321 memory: 13609 grad_norm: 4.2241 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.1651 loss: 1.1651 2022/08/02 04:28:57 - mmengine - INFO - Epoch(train) [95][120/940] lr: 6.0000e-04 eta: 0:48:53 time: 0.4879 data_time: 0.0350 memory: 13609 grad_norm: 4.3226 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/08/02 04:29:08 - mmengine - INFO - Epoch(train) [95][140/940] lr: 6.0000e-04 eta: 0:48:43 time: 0.5752 data_time: 0.0360 memory: 13609 grad_norm: 4.2578 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1117 loss: 1.1117 2022/08/02 04:29:19 - mmengine - INFO - Epoch(train) [95][160/940] lr: 6.0000e-04 eta: 0:48:32 time: 0.5178 data_time: 0.0356 memory: 13609 grad_norm: 4.2343 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0397 loss: 1.0397 2022/08/02 04:29:30 - mmengine - INFO - Epoch(train) [95][180/940] lr: 6.0000e-04 eta: 0:48:21 time: 0.5545 data_time: 0.0331 memory: 13609 grad_norm: 4.3430 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1106 loss: 1.1106 2022/08/02 04:29:39 - mmengine - INFO - Epoch(train) [95][200/940] lr: 6.0000e-04 eta: 0:48:11 time: 0.4787 data_time: 0.0401 memory: 13609 grad_norm: 4.3750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9398 loss: 0.9398 2022/08/02 04:29:50 - mmengine - INFO - Epoch(train) [95][220/940] lr: 6.0000e-04 eta: 0:48:00 time: 0.5473 data_time: 0.0317 memory: 13609 grad_norm: 4.1778 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1567 loss: 1.1567 2022/08/02 04:30:01 - mmengine - INFO - Epoch(train) [95][240/940] lr: 6.0000e-04 eta: 0:47:50 time: 0.5273 data_time: 0.0424 memory: 13609 grad_norm: 4.3374 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0724 loss: 1.0724 2022/08/02 04:30:13 - mmengine - INFO - Epoch(train) [95][260/940] lr: 6.0000e-04 eta: 0:47:39 time: 0.5864 data_time: 0.0401 memory: 13609 grad_norm: 4.3589 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0210 loss: 1.0210 2022/08/02 04:30:22 - mmengine - INFO - Epoch(train) [95][280/940] lr: 6.0000e-04 eta: 0:47:28 time: 0.4889 data_time: 0.0400 memory: 13609 grad_norm: 4.3914 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.0470 loss: 1.0470 2022/08/02 04:30:34 - mmengine - INFO - Epoch(train) [95][300/940] lr: 6.0000e-04 eta: 0:47:18 time: 0.5601 data_time: 0.0380 memory: 13609 grad_norm: 4.3164 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1350 loss: 1.1350 2022/08/02 04:30:43 - mmengine - INFO - Epoch(train) [95][320/940] lr: 6.0000e-04 eta: 0:47:07 time: 0.4855 data_time: 0.0414 memory: 13609 grad_norm: 4.2523 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1220 loss: 1.1220 2022/08/02 04:30:54 - mmengine - INFO - Epoch(train) [95][340/940] lr: 6.0000e-04 eta: 0:46:56 time: 0.5213 data_time: 0.0346 memory: 13609 grad_norm: 4.2226 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0867 loss: 1.0867 2022/08/02 04:31:04 - mmengine - INFO - Epoch(train) [95][360/940] lr: 6.0000e-04 eta: 0:46:46 time: 0.4939 data_time: 0.0385 memory: 13609 grad_norm: 4.2040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9903 loss: 0.9903 2022/08/02 04:31:15 - mmengine - INFO - Epoch(train) [95][380/940] lr: 6.0000e-04 eta: 0:46:35 time: 0.5603 data_time: 0.0459 memory: 13609 grad_norm: 4.2932 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0624 loss: 1.0624 2022/08/02 04:31:25 - mmengine - INFO - Epoch(train) [95][400/940] lr: 6.0000e-04 eta: 0:46:24 time: 0.4958 data_time: 0.0316 memory: 13609 grad_norm: 4.3212 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/08/02 04:31:37 - mmengine - INFO - Epoch(train) [95][420/940] lr: 6.0000e-04 eta: 0:46:14 time: 0.5867 data_time: 0.0389 memory: 13609 grad_norm: 4.2610 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0200 loss: 1.0200 2022/08/02 04:31:46 - mmengine - INFO - Epoch(train) [95][440/940] lr: 6.0000e-04 eta: 0:46:03 time: 0.4916 data_time: 0.0376 memory: 13609 grad_norm: 4.3123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0921 loss: 1.0921 2022/08/02 04:31:58 - mmengine - INFO - Epoch(train) [95][460/940] lr: 6.0000e-04 eta: 0:45:53 time: 0.5717 data_time: 0.0404 memory: 13609 grad_norm: 4.2903 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1641 loss: 1.1641 2022/08/02 04:32:07 - mmengine - INFO - Epoch(train) [95][480/940] lr: 6.0000e-04 eta: 0:45:42 time: 0.4413 data_time: 0.0303 memory: 13609 grad_norm: 4.1946 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9988 loss: 0.9988 2022/08/02 04:32:18 - mmengine - INFO - Epoch(train) [95][500/940] lr: 6.0000e-04 eta: 0:45:31 time: 0.5798 data_time: 0.0451 memory: 13609 grad_norm: 4.3272 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/08/02 04:32:28 - mmengine - INFO - Epoch(train) [95][520/940] lr: 6.0000e-04 eta: 0:45:21 time: 0.4936 data_time: 0.0824 memory: 13609 grad_norm: 4.2872 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0687 loss: 1.0687 2022/08/02 04:32:40 - mmengine - INFO - Epoch(train) [95][540/940] lr: 6.0000e-04 eta: 0:45:10 time: 0.5756 data_time: 0.2444 memory: 13609 grad_norm: 4.2465 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0419 loss: 1.0419 2022/08/02 04:32:49 - mmengine - INFO - Epoch(train) [95][560/940] lr: 6.0000e-04 eta: 0:44:59 time: 0.4567 data_time: 0.1482 memory: 13609 grad_norm: 4.2214 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1320 loss: 1.1320 2022/08/02 04:33:01 - mmengine - INFO - Epoch(train) [95][580/940] lr: 6.0000e-04 eta: 0:44:49 time: 0.5869 data_time: 0.2319 memory: 13609 grad_norm: 4.2453 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1107 loss: 1.1107 2022/08/02 04:33:10 - mmengine - INFO - Epoch(train) [95][600/940] lr: 6.0000e-04 eta: 0:44:38 time: 0.4655 data_time: 0.1584 memory: 13609 grad_norm: 4.3114 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1592 loss: 1.1592 2022/08/02 04:33:21 - mmengine - INFO - Epoch(train) [95][620/940] lr: 6.0000e-04 eta: 0:44:27 time: 0.5524 data_time: 0.1975 memory: 13609 grad_norm: 4.2343 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1564 loss: 1.1564 2022/08/02 04:33:31 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:33:31 - mmengine - INFO - Epoch(train) [95][640/940] lr: 6.0000e-04 eta: 0:44:17 time: 0.5068 data_time: 0.2047 memory: 13609 grad_norm: 4.2854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0691 loss: 1.0691 2022/08/02 04:33:42 - mmengine - INFO - Epoch(train) [95][660/940] lr: 6.0000e-04 eta: 0:44:06 time: 0.5257 data_time: 0.1836 memory: 13609 grad_norm: 4.2747 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0256 loss: 1.0256 2022/08/02 04:33:51 - mmengine - INFO - Epoch(train) [95][680/940] lr: 6.0000e-04 eta: 0:43:55 time: 0.4888 data_time: 0.1069 memory: 13609 grad_norm: 4.2828 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1566 loss: 1.1566 2022/08/02 04:34:03 - mmengine - INFO - Epoch(train) [95][700/940] lr: 6.0000e-04 eta: 0:43:45 time: 0.5657 data_time: 0.2349 memory: 13609 grad_norm: 4.2015 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1593 loss: 1.1593 2022/08/02 04:34:13 - mmengine - INFO - Epoch(train) [95][720/940] lr: 6.0000e-04 eta: 0:43:34 time: 0.5033 data_time: 0.1876 memory: 13609 grad_norm: 4.2913 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9893 loss: 0.9893 2022/08/02 04:34:24 - mmengine - INFO - Epoch(train) [95][740/940] lr: 6.0000e-04 eta: 0:43:24 time: 0.5666 data_time: 0.2664 memory: 13609 grad_norm: 4.2765 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1340 loss: 1.1340 2022/08/02 04:34:34 - mmengine - INFO - Epoch(train) [95][760/940] lr: 6.0000e-04 eta: 0:43:13 time: 0.4984 data_time: 0.1710 memory: 13609 grad_norm: 4.3355 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2042 loss: 1.2042 2022/08/02 04:34:45 - mmengine - INFO - Epoch(train) [95][780/940] lr: 6.0000e-04 eta: 0:43:02 time: 0.5534 data_time: 0.0943 memory: 13609 grad_norm: 4.3998 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0898 loss: 1.0898 2022/08/02 04:34:55 - mmengine - INFO - Epoch(train) [95][800/940] lr: 6.0000e-04 eta: 0:42:52 time: 0.5020 data_time: 0.0356 memory: 13609 grad_norm: 4.2015 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0239 loss: 1.0239 2022/08/02 04:35:06 - mmengine - INFO - Epoch(train) [95][820/940] lr: 6.0000e-04 eta: 0:42:41 time: 0.5254 data_time: 0.0375 memory: 13609 grad_norm: 4.3549 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1327 loss: 1.1327 2022/08/02 04:35:17 - mmengine - INFO - Epoch(train) [95][840/940] lr: 6.0000e-04 eta: 0:42:30 time: 0.5504 data_time: 0.0346 memory: 13609 grad_norm: 4.3712 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1489 loss: 1.1489 2022/08/02 04:35:27 - mmengine - INFO - Epoch(train) [95][860/940] lr: 6.0000e-04 eta: 0:42:20 time: 0.5086 data_time: 0.0436 memory: 13609 grad_norm: 4.2743 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0287 loss: 1.0287 2022/08/02 04:35:39 - mmengine - INFO - Epoch(train) [95][880/940] lr: 6.0000e-04 eta: 0:42:09 time: 0.5865 data_time: 0.0345 memory: 13609 grad_norm: 4.4397 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1882 loss: 1.1882 2022/08/02 04:35:49 - mmengine - INFO - Epoch(train) [95][900/940] lr: 6.0000e-04 eta: 0:41:59 time: 0.5308 data_time: 0.0510 memory: 13609 grad_norm: 4.2419 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0685 loss: 1.0685 2022/08/02 04:36:00 - mmengine - INFO - Epoch(train) [95][920/940] lr: 6.0000e-04 eta: 0:41:48 time: 0.5107 data_time: 0.0322 memory: 13609 grad_norm: 4.2937 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0087 loss: 1.0087 2022/08/02 04:36:09 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:36:09 - mmengine - INFO - Epoch(train) [95][940/940] lr: 6.0000e-04 eta: 0:41:37 time: 0.4718 data_time: 0.0386 memory: 13609 grad_norm: 4.4601 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2465 loss: 1.2465 2022/08/02 04:37:55 - mmengine - INFO - Epoch(val) [95][20/78] eta: 0:05:06 time: 5.2931 data_time: 4.5124 memory: 19674 2022/08/02 04:39:07 - mmengine - INFO - Epoch(val) [95][40/78] eta: 0:02:17 time: 3.6286 data_time: 2.8550 memory: 19674 2022/08/02 04:40:44 - mmengine - INFO - Epoch(val) [95][60/78] eta: 0:01:27 time: 4.8378 data_time: 4.0693 memory: 19674 2022/08/02 04:41:57 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.7142 acc/top5: 0.8968 acc/mean1: 0.7141 2022/08/02 04:42:11 - mmengine - INFO - Epoch(train) [96][20/940] lr: 6.0000e-04 eta: 0:41:27 time: 0.7059 data_time: 0.3071 memory: 19674 grad_norm: 4.3891 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1298 loss: 1.1298 2022/08/02 04:42:22 - mmengine - INFO - Epoch(train) [96][40/940] lr: 6.0000e-04 eta: 0:41:16 time: 0.5524 data_time: 0.0702 memory: 13609 grad_norm: 4.2544 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9811 loss: 0.9811 2022/08/02 04:42:33 - mmengine - INFO - Epoch(train) [96][60/940] lr: 6.0000e-04 eta: 0:41:06 time: 0.5363 data_time: 0.1154 memory: 13609 grad_norm: 4.3925 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9891 loss: 0.9891 2022/08/02 04:42:44 - mmengine - INFO - Epoch(train) [96][80/940] lr: 6.0000e-04 eta: 0:40:55 time: 0.5449 data_time: 0.0470 memory: 13609 grad_norm: 4.2917 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2501 loss: 1.2501 2022/08/02 04:42:54 - mmengine - INFO - Epoch(train) [96][100/940] lr: 6.0000e-04 eta: 0:40:44 time: 0.5006 data_time: 0.0661 memory: 13609 grad_norm: 4.2842 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1433 loss: 1.1433 2022/08/02 04:43:05 - mmengine - INFO - Epoch(train) [96][120/940] lr: 6.0000e-04 eta: 0:40:34 time: 0.5367 data_time: 0.0600 memory: 13609 grad_norm: 4.2872 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1092 loss: 1.1092 2022/08/02 04:43:16 - mmengine - INFO - Epoch(train) [96][140/940] lr: 6.0000e-04 eta: 0:40:23 time: 0.5446 data_time: 0.1978 memory: 13609 grad_norm: 4.4536 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2580 loss: 1.2580 2022/08/02 04:43:26 - mmengine - INFO - Epoch(train) [96][160/940] lr: 6.0000e-04 eta: 0:40:12 time: 0.5211 data_time: 0.0760 memory: 13609 grad_norm: 4.2250 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0857 loss: 1.0857 2022/08/02 04:43:36 - mmengine - INFO - Epoch(train) [96][180/940] lr: 6.0000e-04 eta: 0:40:02 time: 0.5108 data_time: 0.0884 memory: 13609 grad_norm: 4.3351 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0593 loss: 1.0593 2022/08/02 04:43:48 - mmengine - INFO - Epoch(train) [96][200/940] lr: 6.0000e-04 eta: 0:39:51 time: 0.5856 data_time: 0.0456 memory: 13609 grad_norm: 4.2760 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.0680 loss: 1.0680 2022/08/02 04:43:58 - mmengine - INFO - Epoch(train) [96][220/940] lr: 6.0000e-04 eta: 0:39:41 time: 0.4917 data_time: 0.0726 memory: 13609 grad_norm: 4.2638 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1426 loss: 1.1426 2022/08/02 04:44:09 - mmengine - INFO - Epoch(train) [96][240/940] lr: 6.0000e-04 eta: 0:39:30 time: 0.5375 data_time: 0.0933 memory: 13609 grad_norm: 4.2624 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1801 loss: 1.1801 2022/08/02 04:44:19 - mmengine - INFO - Epoch(train) [96][260/940] lr: 6.0000e-04 eta: 0:39:19 time: 0.4948 data_time: 0.1226 memory: 13609 grad_norm: 4.2585 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0142 loss: 1.0142 2022/08/02 04:44:28 - mmengine - INFO - Epoch(train) [96][280/940] lr: 6.0000e-04 eta: 0:39:09 time: 0.4908 data_time: 0.0808 memory: 13609 grad_norm: 4.2887 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/02 04:44:39 - mmengine - INFO - Epoch(train) [96][300/940] lr: 6.0000e-04 eta: 0:38:58 time: 0.5119 data_time: 0.2069 memory: 13609 grad_norm: 4.2956 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0588 loss: 1.0588 2022/08/02 04:44:50 - mmengine - INFO - Epoch(train) [96][320/940] lr: 6.0000e-04 eta: 0:38:47 time: 0.5466 data_time: 0.1543 memory: 13609 grad_norm: 4.1814 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9790 loss: 0.9790 2022/08/02 04:45:00 - mmengine - INFO - Epoch(train) [96][340/940] lr: 6.0000e-04 eta: 0:38:37 time: 0.5060 data_time: 0.1494 memory: 13609 grad_norm: 4.2706 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0633 loss: 1.0633 2022/08/02 04:45:11 - mmengine - INFO - Epoch(train) [96][360/940] lr: 6.0000e-04 eta: 0:38:26 time: 0.5362 data_time: 0.1601 memory: 13609 grad_norm: 4.4369 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0591 loss: 1.0591 2022/08/02 04:45:22 - mmengine - INFO - Epoch(train) [96][380/940] lr: 6.0000e-04 eta: 0:38:15 time: 0.5587 data_time: 0.1563 memory: 13609 grad_norm: 4.2964 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0628 loss: 1.0628 2022/08/02 04:45:33 - mmengine - INFO - Epoch(train) [96][400/940] lr: 6.0000e-04 eta: 0:38:05 time: 0.5421 data_time: 0.1315 memory: 13609 grad_norm: 4.3039 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0764 loss: 1.0764 2022/08/02 04:45:43 - mmengine - INFO - Epoch(train) [96][420/940] lr: 6.0000e-04 eta: 0:37:54 time: 0.5166 data_time: 0.1642 memory: 13609 grad_norm: 4.2689 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0812 loss: 1.0812 2022/08/02 04:45:54 - mmengine - INFO - Epoch(train) [96][440/940] lr: 6.0000e-04 eta: 0:37:44 time: 0.5659 data_time: 0.0533 memory: 13609 grad_norm: 4.2322 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9627 loss: 0.9627 2022/08/02 04:46:04 - mmengine - INFO - Epoch(train) [96][460/940] lr: 6.0000e-04 eta: 0:37:33 time: 0.4901 data_time: 0.0476 memory: 13609 grad_norm: 4.2820 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0010 loss: 1.0010 2022/08/02 04:46:15 - mmengine - INFO - Epoch(train) [96][480/940] lr: 6.0000e-04 eta: 0:37:22 time: 0.5539 data_time: 0.0281 memory: 13609 grad_norm: 4.2918 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0840 loss: 1.0840 2022/08/02 04:46:25 - mmengine - INFO - Epoch(train) [96][500/940] lr: 6.0000e-04 eta: 0:37:12 time: 0.4896 data_time: 0.0354 memory: 13609 grad_norm: 4.3801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/02 04:46:35 - mmengine - INFO - Epoch(train) [96][520/940] lr: 6.0000e-04 eta: 0:37:01 time: 0.5238 data_time: 0.0294 memory: 13609 grad_norm: 4.2919 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1808 loss: 1.1808 2022/08/02 04:46:45 - mmengine - INFO - Epoch(train) [96][540/940] lr: 6.0000e-04 eta: 0:36:50 time: 0.4813 data_time: 0.0391 memory: 13609 grad_norm: 4.3425 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0682 loss: 1.0682 2022/08/02 04:46:57 - mmengine - INFO - Epoch(train) [96][560/940] lr: 6.0000e-04 eta: 0:36:40 time: 0.6051 data_time: 0.0330 memory: 13609 grad_norm: 4.2191 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0527 loss: 1.0527 2022/08/02 04:47:07 - mmengine - INFO - Epoch(train) [96][580/940] lr: 6.0000e-04 eta: 0:36:29 time: 0.4870 data_time: 0.0353 memory: 13609 grad_norm: 4.2738 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1130 loss: 1.1130 2022/08/02 04:47:18 - mmengine - INFO - Epoch(train) [96][600/940] lr: 6.0000e-04 eta: 0:36:18 time: 0.5487 data_time: 0.0304 memory: 13609 grad_norm: 4.3603 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0736 loss: 1.0736 2022/08/02 04:47:27 - mmengine - INFO - Epoch(train) [96][620/940] lr: 6.0000e-04 eta: 0:36:08 time: 0.4761 data_time: 0.0366 memory: 13609 grad_norm: 4.2590 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0328 loss: 1.0328 2022/08/02 04:47:39 - mmengine - INFO - Epoch(train) [96][640/940] lr: 6.0000e-04 eta: 0:35:57 time: 0.5895 data_time: 0.1448 memory: 13609 grad_norm: 4.3625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0598 loss: 1.0598 2022/08/02 04:47:50 - mmengine - INFO - Epoch(train) [96][660/940] lr: 6.0000e-04 eta: 0:35:47 time: 0.5282 data_time: 0.2320 memory: 13609 grad_norm: 4.2788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0812 loss: 1.0812 2022/08/02 04:48:00 - mmengine - INFO - Epoch(train) [96][680/940] lr: 6.0000e-04 eta: 0:35:36 time: 0.5316 data_time: 0.1872 memory: 13609 grad_norm: 4.3216 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1276 loss: 1.1276 2022/08/02 04:48:11 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:48:11 - mmengine - INFO - Epoch(train) [96][700/940] lr: 6.0000e-04 eta: 0:35:25 time: 0.5345 data_time: 0.2072 memory: 13609 grad_norm: 4.3749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1631 loss: 1.1631 2022/08/02 04:48:22 - mmengine - INFO - Epoch(train) [96][720/940] lr: 6.0000e-04 eta: 0:35:15 time: 0.5315 data_time: 0.1940 memory: 13609 grad_norm: 4.3350 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/08/02 04:48:32 - mmengine - INFO - Epoch(train) [96][740/940] lr: 6.0000e-04 eta: 0:35:04 time: 0.5200 data_time: 0.2173 memory: 13609 grad_norm: 4.3347 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0208 loss: 1.0208 2022/08/02 04:48:42 - mmengine - INFO - Epoch(train) [96][760/940] lr: 6.0000e-04 eta: 0:34:53 time: 0.4717 data_time: 0.1557 memory: 13609 grad_norm: 4.3292 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1813 loss: 1.1813 2022/08/02 04:48:53 - mmengine - INFO - Epoch(train) [96][780/940] lr: 6.0000e-04 eta: 0:34:43 time: 0.5734 data_time: 0.2668 memory: 13609 grad_norm: 4.3171 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1280 loss: 1.1280 2022/08/02 04:49:04 - mmengine - INFO - Epoch(train) [96][800/940] lr: 6.0000e-04 eta: 0:34:32 time: 0.5329 data_time: 0.2082 memory: 13609 grad_norm: 4.2891 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9608 loss: 0.9608 2022/08/02 04:49:15 - mmengine - INFO - Epoch(train) [96][820/940] lr: 6.0000e-04 eta: 0:34:22 time: 0.5578 data_time: 0.2526 memory: 13609 grad_norm: 4.3303 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.1061 loss: 1.1061 2022/08/02 04:49:24 - mmengine - INFO - Epoch(train) [96][840/940] lr: 6.0000e-04 eta: 0:34:11 time: 0.4573 data_time: 0.1030 memory: 13609 grad_norm: 4.4073 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1150 loss: 1.1150 2022/08/02 04:49:35 - mmengine - INFO - Epoch(train) [96][860/940] lr: 6.0000e-04 eta: 0:34:00 time: 0.5563 data_time: 0.2593 memory: 13609 grad_norm: 4.3229 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1329 loss: 1.1329 2022/08/02 04:49:45 - mmengine - INFO - Epoch(train) [96][880/940] lr: 6.0000e-04 eta: 0:33:50 time: 0.4915 data_time: 0.1070 memory: 13609 grad_norm: 4.3612 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9226 loss: 0.9226 2022/08/02 04:49:57 - mmengine - INFO - Epoch(train) [96][900/940] lr: 6.0000e-04 eta: 0:33:39 time: 0.5734 data_time: 0.2645 memory: 13609 grad_norm: 4.3502 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1053 loss: 1.1053 2022/08/02 04:50:06 - mmengine - INFO - Epoch(train) [96][920/940] lr: 6.0000e-04 eta: 0:33:28 time: 0.4969 data_time: 0.2030 memory: 13609 grad_norm: 4.2489 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0722 loss: 1.0722 2022/08/02 04:50:16 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 04:50:16 - mmengine - INFO - Epoch(train) [96][940/940] lr: 6.0000e-04 eta: 0:33:18 time: 0.4703 data_time: 0.1470 memory: 13609 grad_norm: 4.5982 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.1555 loss: 1.1555 2022/08/02 04:50:16 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/02 04:52:03 - mmengine - INFO - Epoch(val) [96][20/78] eta: 0:05:07 time: 5.2997 data_time: 4.5310 memory: 19674 2022/08/02 04:53:15 - mmengine - INFO - Epoch(val) [96][40/78] eta: 0:02:16 time: 3.6020 data_time: 2.8469 memory: 19674 2022/08/02 04:54:51 - mmengine - INFO - Epoch(val) [96][60/78] eta: 0:01:25 time: 4.7685 data_time: 3.9987 memory: 19674 2022/08/02 04:56:03 - mmengine - INFO - Epoch(val) [96][78/78] acc/top1: 0.7128 acc/top5: 0.8953 acc/mean1: 0.7127 2022/08/02 04:56:18 - mmengine - INFO - Epoch(train) [97][20/940] lr: 6.0000e-04 eta: 0:33:07 time: 0.7251 data_time: 0.3062 memory: 19674 grad_norm: 4.3247 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1585 loss: 1.1585 2022/08/02 04:56:28 - mmengine - INFO - Epoch(train) [97][40/940] lr: 6.0000e-04 eta: 0:32:57 time: 0.4802 data_time: 0.0498 memory: 13609 grad_norm: 4.2539 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0221 loss: 1.0221 2022/08/02 04:56:40 - mmengine - INFO - Epoch(train) [97][60/940] lr: 6.0000e-04 eta: 0:32:46 time: 0.6005 data_time: 0.0511 memory: 13609 grad_norm: 4.3453 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9850 loss: 0.9850 2022/08/02 04:56:49 - mmengine - INFO - Epoch(train) [97][80/940] lr: 6.0000e-04 eta: 0:32:35 time: 0.4416 data_time: 0.0317 memory: 13609 grad_norm: 4.3644 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0421 loss: 1.0421 2022/08/02 04:57:00 - mmengine - INFO - Epoch(train) [97][100/940] lr: 6.0000e-04 eta: 0:32:25 time: 0.5923 data_time: 0.0950 memory: 13609 grad_norm: 4.3569 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1403 loss: 1.1403 2022/08/02 04:57:09 - mmengine - INFO - Epoch(train) [97][120/940] lr: 6.0000e-04 eta: 0:32:14 time: 0.4549 data_time: 0.0310 memory: 13609 grad_norm: 4.3468 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0906 loss: 1.0906 2022/08/02 04:57:21 - mmengine - INFO - Epoch(train) [97][140/940] lr: 6.0000e-04 eta: 0:32:03 time: 0.5677 data_time: 0.0710 memory: 13609 grad_norm: 4.4455 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2635 loss: 1.2635 2022/08/02 04:57:31 - mmengine - INFO - Epoch(train) [97][160/940] lr: 6.0000e-04 eta: 0:31:53 time: 0.4940 data_time: 0.0354 memory: 13609 grad_norm: 4.3115 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0079 loss: 1.0079 2022/08/02 04:57:42 - mmengine - INFO - Epoch(train) [97][180/940] lr: 6.0000e-04 eta: 0:31:42 time: 0.5828 data_time: 0.0353 memory: 13609 grad_norm: 4.3150 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1000 loss: 1.1000 2022/08/02 04:57:52 - mmengine - INFO - Epoch(train) [97][200/940] lr: 6.0000e-04 eta: 0:31:31 time: 0.4866 data_time: 0.0298 memory: 13609 grad_norm: 4.2428 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1051 loss: 1.1051 2022/08/02 04:58:04 - mmengine - INFO - Epoch(train) [97][220/940] lr: 6.0000e-04 eta: 0:31:21 time: 0.5952 data_time: 0.0343 memory: 13609 grad_norm: 4.2679 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9833 loss: 0.9833 2022/08/02 04:58:13 - mmengine - INFO - Epoch(train) [97][240/940] lr: 6.0000e-04 eta: 0:31:10 time: 0.4430 data_time: 0.0362 memory: 13609 grad_norm: 4.2641 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0243 loss: 1.0243 2022/08/02 04:58:25 - mmengine - INFO - Epoch(train) [97][260/940] lr: 6.0000e-04 eta: 0:31:00 time: 0.5933 data_time: 0.0355 memory: 13609 grad_norm: 4.2069 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9864 loss: 0.9864 2022/08/02 04:58:35 - mmengine - INFO - Epoch(train) [97][280/940] lr: 6.0000e-04 eta: 0:30:49 time: 0.5079 data_time: 0.0385 memory: 13609 grad_norm: 4.2777 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0720 loss: 1.0720 2022/08/02 04:58:47 - mmengine - INFO - Epoch(train) [97][300/940] lr: 6.0000e-04 eta: 0:30:38 time: 0.5784 data_time: 0.0433 memory: 13609 grad_norm: 4.2458 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1228 loss: 1.1228 2022/08/02 04:58:56 - mmengine - INFO - Epoch(train) [97][320/940] lr: 6.0000e-04 eta: 0:30:28 time: 0.4482 data_time: 0.0336 memory: 13609 grad_norm: 4.3426 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.1775 loss: 1.1775 2022/08/02 04:59:08 - mmengine - INFO - Epoch(train) [97][340/940] lr: 6.0000e-04 eta: 0:30:17 time: 0.6167 data_time: 0.0370 memory: 13609 grad_norm: 4.2753 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1607 loss: 1.1607 2022/08/02 04:59:17 - mmengine - INFO - Epoch(train) [97][360/940] lr: 6.0000e-04 eta: 0:30:06 time: 0.4571 data_time: 0.0306 memory: 13609 grad_norm: 4.2388 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/02 04:59:28 - mmengine - INFO - Epoch(train) [97][380/940] lr: 6.0000e-04 eta: 0:29:56 time: 0.5683 data_time: 0.0603 memory: 13609 grad_norm: 4.3581 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0487 loss: 1.0487 2022/08/02 04:59:39 - mmengine - INFO - Epoch(train) [97][400/940] lr: 6.0000e-04 eta: 0:29:45 time: 0.5290 data_time: 0.1302 memory: 13609 grad_norm: 4.3692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0473 loss: 1.0473 2022/08/02 04:59:50 - mmengine - INFO - Epoch(train) [97][420/940] lr: 6.0000e-04 eta: 0:29:35 time: 0.5386 data_time: 0.2426 memory: 13609 grad_norm: 4.3749 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1472 loss: 1.1472 2022/08/02 04:59:59 - mmengine - INFO - Epoch(train) [97][440/940] lr: 6.0000e-04 eta: 0:29:24 time: 0.4788 data_time: 0.1781 memory: 13609 grad_norm: 4.2720 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0104 loss: 1.0104 2022/08/02 05:00:11 - mmengine - INFO - Epoch(train) [97][460/940] lr: 6.0000e-04 eta: 0:29:13 time: 0.5795 data_time: 0.2853 memory: 13609 grad_norm: 4.3638 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0014 loss: 1.0014 2022/08/02 05:00:20 - mmengine - INFO - Epoch(train) [97][480/940] lr: 6.0000e-04 eta: 0:29:03 time: 0.4557 data_time: 0.1565 memory: 13609 grad_norm: 4.3131 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0876 loss: 1.0876 2022/08/02 05:00:32 - mmengine - INFO - Epoch(train) [97][500/940] lr: 6.0000e-04 eta: 0:28:52 time: 0.6046 data_time: 0.2632 memory: 13609 grad_norm: 4.2672 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9703 loss: 0.9703 2022/08/02 05:00:42 - mmengine - INFO - Epoch(train) [97][520/940] lr: 6.0000e-04 eta: 0:28:41 time: 0.4672 data_time: 0.1445 memory: 13609 grad_norm: 4.2322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/08/02 05:00:53 - mmengine - INFO - Epoch(train) [97][540/940] lr: 6.0000e-04 eta: 0:28:31 time: 0.5801 data_time: 0.2484 memory: 13609 grad_norm: 4.4541 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1194 loss: 1.1194 2022/08/02 05:01:03 - mmengine - INFO - Epoch(train) [97][560/940] lr: 6.0000e-04 eta: 0:28:20 time: 0.5127 data_time: 0.1939 memory: 13609 grad_norm: 4.3695 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0717 loss: 1.0717 2022/08/02 05:01:14 - mmengine - INFO - Epoch(train) [97][580/940] lr: 6.0000e-04 eta: 0:28:09 time: 0.5288 data_time: 0.2229 memory: 13609 grad_norm: 4.3672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1374 loss: 1.1374 2022/08/02 05:01:24 - mmengine - INFO - Epoch(train) [97][600/940] lr: 6.0000e-04 eta: 0:27:59 time: 0.5068 data_time: 0.1846 memory: 13609 grad_norm: 4.4790 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1016 loss: 1.1016 2022/08/02 05:01:35 - mmengine - INFO - Epoch(train) [97][620/940] lr: 6.0000e-04 eta: 0:27:48 time: 0.5667 data_time: 0.1727 memory: 13609 grad_norm: 4.3868 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0164 loss: 1.0164 2022/08/02 05:01:45 - mmengine - INFO - Epoch(train) [97][640/940] lr: 6.0000e-04 eta: 0:27:38 time: 0.4800 data_time: 0.0555 memory: 13609 grad_norm: 4.3154 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1195 loss: 1.1195 2022/08/02 05:01:56 - mmengine - INFO - Epoch(train) [97][660/940] lr: 6.0000e-04 eta: 0:27:27 time: 0.5598 data_time: 0.0580 memory: 13609 grad_norm: 4.2024 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2007 loss: 1.2007 2022/08/02 05:02:06 - mmengine - INFO - Epoch(train) [97][680/940] lr: 6.0000e-04 eta: 0:27:16 time: 0.4805 data_time: 0.0677 memory: 13609 grad_norm: 4.3919 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 0.9785 loss: 0.9785 2022/08/02 05:02:18 - mmengine - INFO - Epoch(train) [97][700/940] lr: 6.0000e-04 eta: 0:27:06 time: 0.6107 data_time: 0.0334 memory: 13609 grad_norm: 4.3470 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0143 loss: 1.0143 2022/08/02 05:02:28 - mmengine - INFO - Epoch(train) [97][720/940] lr: 6.0000e-04 eta: 0:26:55 time: 0.4980 data_time: 0.0313 memory: 13609 grad_norm: 4.3083 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1651 loss: 1.1651 2022/08/02 05:02:40 - mmengine - INFO - Epoch(train) [97][740/940] lr: 6.0000e-04 eta: 0:26:44 time: 0.5729 data_time: 0.0345 memory: 13609 grad_norm: 4.2875 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0264 loss: 1.0264 2022/08/02 05:02:49 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:02:49 - mmengine - INFO - Epoch(train) [97][760/940] lr: 6.0000e-04 eta: 0:26:34 time: 0.4660 data_time: 0.0405 memory: 13609 grad_norm: 4.3304 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0832 loss: 1.0832 2022/08/02 05:03:01 - mmengine - INFO - Epoch(train) [97][780/940] lr: 6.0000e-04 eta: 0:26:23 time: 0.5942 data_time: 0.0423 memory: 13609 grad_norm: 4.3691 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1050 loss: 1.1050 2022/08/02 05:03:11 - mmengine - INFO - Epoch(train) [97][800/940] lr: 6.0000e-04 eta: 0:26:13 time: 0.5035 data_time: 0.0412 memory: 13609 grad_norm: 4.2800 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0984 loss: 1.0984 2022/08/02 05:03:21 - mmengine - INFO - Epoch(train) [97][820/940] lr: 6.0000e-04 eta: 0:26:02 time: 0.4825 data_time: 0.0287 memory: 13609 grad_norm: 4.2254 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0080 loss: 1.0080 2022/08/02 05:03:31 - mmengine - INFO - Epoch(train) [97][840/940] lr: 6.0000e-04 eta: 0:25:51 time: 0.5428 data_time: 0.0344 memory: 13609 grad_norm: 4.4573 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/08/02 05:03:42 - mmengine - INFO - Epoch(train) [97][860/940] lr: 6.0000e-04 eta: 0:25:41 time: 0.5373 data_time: 0.0350 memory: 13609 grad_norm: 4.2564 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0460 loss: 1.0460 2022/08/02 05:03:52 - mmengine - INFO - Epoch(train) [97][880/940] lr: 6.0000e-04 eta: 0:25:30 time: 0.5121 data_time: 0.0381 memory: 13609 grad_norm: 4.3380 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.1482 loss: 1.1482 2022/08/02 05:04:02 - mmengine - INFO - Epoch(train) [97][900/940] lr: 6.0000e-04 eta: 0:25:19 time: 0.4844 data_time: 0.0347 memory: 13609 grad_norm: 4.3848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1791 loss: 1.1791 2022/08/02 05:04:13 - mmengine - INFO - Epoch(train) [97][920/940] lr: 6.0000e-04 eta: 0:25:09 time: 0.5642 data_time: 0.0345 memory: 13609 grad_norm: 4.2734 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1901 loss: 1.1901 2022/08/02 05:04:21 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:04:21 - mmengine - INFO - Epoch(train) [97][940/940] lr: 6.0000e-04 eta: 0:24:58 time: 0.3918 data_time: 0.0252 memory: 13609 grad_norm: 4.5850 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1038 loss: 1.1038 2022/08/02 05:06:07 - mmengine - INFO - Epoch(val) [97][20/78] eta: 0:05:07 time: 5.2937 data_time: 4.5073 memory: 19674 2022/08/02 05:07:20 - mmengine - INFO - Epoch(val) [97][40/78] eta: 0:02:18 time: 3.6325 data_time: 2.8637 memory: 19674 2022/08/02 05:08:55 - mmengine - INFO - Epoch(val) [97][60/78] eta: 0:01:25 time: 4.7756 data_time: 4.0203 memory: 19674 2022/08/02 05:10:08 - mmengine - INFO - Epoch(val) [97][78/78] acc/top1: 0.7126 acc/top5: 0.8973 acc/mean1: 0.7125 2022/08/02 05:10:23 - mmengine - INFO - Epoch(train) [98][20/940] lr: 6.0000e-04 eta: 0:24:48 time: 0.7311 data_time: 0.4371 memory: 19674 grad_norm: 4.2791 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9833 loss: 0.9833 2022/08/02 05:10:32 - mmengine - INFO - Epoch(train) [98][40/940] lr: 6.0000e-04 eta: 0:24:37 time: 0.4487 data_time: 0.1564 memory: 13609 grad_norm: 4.3921 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1047 loss: 1.1047 2022/08/02 05:10:44 - mmengine - INFO - Epoch(train) [98][60/940] lr: 6.0000e-04 eta: 0:24:26 time: 0.5734 data_time: 0.2589 memory: 13609 grad_norm: 4.2566 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1469 loss: 1.1469 2022/08/02 05:10:54 - mmengine - INFO - Epoch(train) [98][80/940] lr: 6.0000e-04 eta: 0:24:16 time: 0.5224 data_time: 0.1311 memory: 13609 grad_norm: 4.2982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0686 loss: 1.0686 2022/08/02 05:11:06 - mmengine - INFO - Epoch(train) [98][100/940] lr: 6.0000e-04 eta: 0:24:05 time: 0.5963 data_time: 0.0700 memory: 13609 grad_norm: 4.3049 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0384 loss: 1.0384 2022/08/02 05:11:16 - mmengine - INFO - Epoch(train) [98][120/940] lr: 6.0000e-04 eta: 0:23:54 time: 0.5258 data_time: 0.0286 memory: 13609 grad_norm: 4.3183 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1513 loss: 1.1513 2022/08/02 05:11:28 - mmengine - INFO - Epoch(train) [98][140/940] lr: 6.0000e-04 eta: 0:23:44 time: 0.5660 data_time: 0.0363 memory: 13609 grad_norm: 4.3496 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1476 loss: 1.1476 2022/08/02 05:11:37 - mmengine - INFO - Epoch(train) [98][160/940] lr: 6.0000e-04 eta: 0:23:33 time: 0.4420 data_time: 0.0424 memory: 13609 grad_norm: 4.1847 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0624 loss: 1.0624 2022/08/02 05:11:48 - mmengine - INFO - Epoch(train) [98][180/940] lr: 6.0000e-04 eta: 0:23:22 time: 0.5509 data_time: 0.0353 memory: 13609 grad_norm: 4.4048 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0899 loss: 1.0899 2022/08/02 05:11:57 - mmengine - INFO - Epoch(train) [98][200/940] lr: 6.0000e-04 eta: 0:23:12 time: 0.4871 data_time: 0.0372 memory: 13609 grad_norm: 4.4517 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1561 loss: 1.1561 2022/08/02 05:12:09 - mmengine - INFO - Epoch(train) [98][220/940] lr: 6.0000e-04 eta: 0:23:01 time: 0.5564 data_time: 0.0347 memory: 13609 grad_norm: 4.4594 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2035 loss: 1.2035 2022/08/02 05:12:19 - mmengine - INFO - Epoch(train) [98][240/940] lr: 6.0000e-04 eta: 0:22:51 time: 0.5198 data_time: 0.0398 memory: 13609 grad_norm: 4.3700 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2425 loss: 1.2425 2022/08/02 05:12:32 - mmengine - INFO - Epoch(train) [98][260/940] lr: 6.0000e-04 eta: 0:22:40 time: 0.6379 data_time: 0.0493 memory: 13609 grad_norm: 4.3492 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0977 loss: 1.0977 2022/08/02 05:12:41 - mmengine - INFO - Epoch(train) [98][280/940] lr: 6.0000e-04 eta: 0:22:29 time: 0.4593 data_time: 0.0335 memory: 13609 grad_norm: 4.4498 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1425 loss: 1.1425 2022/08/02 05:12:51 - mmengine - INFO - Epoch(train) [98][300/940] lr: 6.0000e-04 eta: 0:22:19 time: 0.5061 data_time: 0.0316 memory: 13609 grad_norm: 4.4355 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1157 loss: 1.1157 2022/08/02 05:13:01 - mmengine - INFO - Epoch(train) [98][320/940] lr: 6.0000e-04 eta: 0:22:08 time: 0.5158 data_time: 0.0373 memory: 13609 grad_norm: 4.3101 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/08/02 05:13:12 - mmengine - INFO - Epoch(train) [98][340/940] lr: 6.0000e-04 eta: 0:21:57 time: 0.5488 data_time: 0.0447 memory: 13609 grad_norm: 4.3617 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0519 loss: 1.0519 2022/08/02 05:13:23 - mmengine - INFO - Epoch(train) [98][360/940] lr: 6.0000e-04 eta: 0:21:47 time: 0.5364 data_time: 0.0682 memory: 13609 grad_norm: 4.2229 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9481 loss: 0.9481 2022/08/02 05:13:33 - mmengine - INFO - Epoch(train) [98][380/940] lr: 6.0000e-04 eta: 0:21:36 time: 0.5010 data_time: 0.0498 memory: 13609 grad_norm: 4.3217 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/08/02 05:13:44 - mmengine - INFO - Epoch(train) [98][400/940] lr: 6.0000e-04 eta: 0:21:26 time: 0.5283 data_time: 0.0376 memory: 13609 grad_norm: 4.3123 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9865 loss: 0.9865 2022/08/02 05:13:54 - mmengine - INFO - Epoch(train) [98][420/940] lr: 6.0000e-04 eta: 0:21:15 time: 0.5286 data_time: 0.0355 memory: 13609 grad_norm: 4.2213 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9843 loss: 0.9843 2022/08/02 05:14:06 - mmengine - INFO - Epoch(train) [98][440/940] lr: 6.0000e-04 eta: 0:21:04 time: 0.5862 data_time: 0.0337 memory: 13609 grad_norm: 4.2804 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9713 loss: 0.9713 2022/08/02 05:14:16 - mmengine - INFO - Epoch(train) [98][460/940] lr: 6.0000e-04 eta: 0:20:54 time: 0.4849 data_time: 0.0319 memory: 13609 grad_norm: 4.3617 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1056 loss: 1.1056 2022/08/02 05:14:27 - mmengine - INFO - Epoch(train) [98][480/940] lr: 6.0000e-04 eta: 0:20:43 time: 0.5485 data_time: 0.0332 memory: 13609 grad_norm: 4.1981 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0091 loss: 1.0091 2022/08/02 05:14:36 - mmengine - INFO - Epoch(train) [98][500/940] lr: 6.0000e-04 eta: 0:20:32 time: 0.4700 data_time: 0.0330 memory: 13609 grad_norm: 4.4000 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1803 loss: 1.1803 2022/08/02 05:14:47 - mmengine - INFO - Epoch(train) [98][520/940] lr: 6.0000e-04 eta: 0:20:22 time: 0.5539 data_time: 0.0386 memory: 13609 grad_norm: 4.3971 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1903 loss: 1.1903 2022/08/02 05:14:57 - mmengine - INFO - Epoch(train) [98][540/940] lr: 6.0000e-04 eta: 0:20:11 time: 0.4930 data_time: 0.0288 memory: 13609 grad_norm: 4.3395 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0330 loss: 1.0330 2022/08/02 05:15:08 - mmengine - INFO - Epoch(train) [98][560/940] lr: 6.0000e-04 eta: 0:20:01 time: 0.5649 data_time: 0.0422 memory: 13609 grad_norm: 4.3589 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0397 loss: 1.0397 2022/08/02 05:15:18 - mmengine - INFO - Epoch(train) [98][580/940] lr: 6.0000e-04 eta: 0:19:50 time: 0.4693 data_time: 0.0438 memory: 13609 grad_norm: 4.3441 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0136 loss: 1.0136 2022/08/02 05:15:29 - mmengine - INFO - Epoch(train) [98][600/940] lr: 6.0000e-04 eta: 0:19:39 time: 0.5636 data_time: 0.0402 memory: 13609 grad_norm: 4.3134 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0095 loss: 1.0095 2022/08/02 05:15:39 - mmengine - INFO - Epoch(train) [98][620/940] lr: 6.0000e-04 eta: 0:19:29 time: 0.5136 data_time: 0.0769 memory: 13609 grad_norm: 4.3213 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0751 loss: 1.0751 2022/08/02 05:15:51 - mmengine - INFO - Epoch(train) [98][640/940] lr: 6.0000e-04 eta: 0:19:18 time: 0.5648 data_time: 0.1319 memory: 13609 grad_norm: 4.3607 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0522 loss: 1.0522 2022/08/02 05:16:00 - mmengine - INFO - Epoch(train) [98][660/940] lr: 6.0000e-04 eta: 0:19:07 time: 0.4482 data_time: 0.0622 memory: 13609 grad_norm: 4.3768 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1171 loss: 1.1171 2022/08/02 05:16:11 - mmengine - INFO - Epoch(train) [98][680/940] lr: 6.0000e-04 eta: 0:18:57 time: 0.5731 data_time: 0.1536 memory: 13609 grad_norm: 4.3739 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/08/02 05:16:22 - mmengine - INFO - Epoch(train) [98][700/940] lr: 6.0000e-04 eta: 0:18:46 time: 0.5423 data_time: 0.1000 memory: 13609 grad_norm: 4.4165 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1039 loss: 1.1039 2022/08/02 05:16:31 - mmengine - INFO - Epoch(train) [98][720/940] lr: 6.0000e-04 eta: 0:18:35 time: 0.4702 data_time: 0.0495 memory: 13609 grad_norm: 4.3478 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2006 loss: 1.2006 2022/08/02 05:16:42 - mmengine - INFO - Epoch(train) [98][740/940] lr: 6.0000e-04 eta: 0:18:25 time: 0.5233 data_time: 0.0335 memory: 13609 grad_norm: 4.3554 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9906 loss: 0.9906 2022/08/02 05:16:53 - mmengine - INFO - Epoch(train) [98][760/940] lr: 6.0000e-04 eta: 0:18:14 time: 0.5650 data_time: 0.0388 memory: 13609 grad_norm: 4.2624 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2177 loss: 1.2177 2022/08/02 05:17:02 - mmengine - INFO - Epoch(train) [98][780/940] lr: 6.0000e-04 eta: 0:18:04 time: 0.4674 data_time: 0.0391 memory: 13609 grad_norm: 4.3965 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1129 loss: 1.1129 2022/08/02 05:17:13 - mmengine - INFO - Epoch(train) [98][800/940] lr: 6.0000e-04 eta: 0:17:53 time: 0.5365 data_time: 0.0652 memory: 13609 grad_norm: 4.3474 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9942 loss: 0.9942 2022/08/02 05:17:24 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:17:24 - mmengine - INFO - Epoch(train) [98][820/940] lr: 6.0000e-04 eta: 0:17:42 time: 0.5344 data_time: 0.1063 memory: 13609 grad_norm: 4.2164 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0217 loss: 1.0217 2022/08/02 05:17:35 - mmengine - INFO - Epoch(train) [98][840/940] lr: 6.0000e-04 eta: 0:17:32 time: 0.5666 data_time: 0.1485 memory: 13609 grad_norm: 4.3181 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1493 loss: 1.1493 2022/08/02 05:17:45 - mmengine - INFO - Epoch(train) [98][860/940] lr: 6.0000e-04 eta: 0:17:21 time: 0.4700 data_time: 0.1483 memory: 13609 grad_norm: 4.3455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0642 loss: 1.0642 2022/08/02 05:17:56 - mmengine - INFO - Epoch(train) [98][880/940] lr: 6.0000e-04 eta: 0:17:10 time: 0.5699 data_time: 0.2612 memory: 13609 grad_norm: 4.3609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2470 loss: 1.2470 2022/08/02 05:18:07 - mmengine - INFO - Epoch(train) [98][900/940] lr: 6.0000e-04 eta: 0:17:00 time: 0.5255 data_time: 0.1708 memory: 13609 grad_norm: 4.4337 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1704 loss: 1.1704 2022/08/02 05:18:17 - mmengine - INFO - Epoch(train) [98][920/940] lr: 6.0000e-04 eta: 0:16:49 time: 0.5150 data_time: 0.0965 memory: 13609 grad_norm: 4.3713 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0709 loss: 1.0709 2022/08/02 05:18:25 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:18:25 - mmengine - INFO - Epoch(train) [98][940/940] lr: 6.0000e-04 eta: 0:16:38 time: 0.4174 data_time: 0.0227 memory: 13609 grad_norm: 4.7330 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0758 loss: 1.0758 2022/08/02 05:20:11 - mmengine - INFO - Epoch(val) [98][20/78] eta: 0:05:07 time: 5.2997 data_time: 4.5087 memory: 19674 2022/08/02 05:21:23 - mmengine - INFO - Epoch(val) [98][40/78] eta: 0:02:16 time: 3.5973 data_time: 2.8218 memory: 19674 2022/08/02 05:22:59 - mmengine - INFO - Epoch(val) [98][60/78] eta: 0:01:26 time: 4.7981 data_time: 4.0432 memory: 19674 2022/08/02 05:24:13 - mmengine - INFO - Epoch(val) [98][78/78] acc/top1: 0.7135 acc/top5: 0.8968 acc/mean1: 0.7134 2022/08/02 05:24:27 - mmengine - INFO - Epoch(train) [99][20/940] lr: 6.0000e-04 eta: 0:16:28 time: 0.7194 data_time: 0.2921 memory: 19674 grad_norm: 4.3099 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0463 loss: 1.0463 2022/08/02 05:24:37 - mmengine - INFO - Epoch(train) [99][40/940] lr: 6.0000e-04 eta: 0:16:17 time: 0.4962 data_time: 0.0616 memory: 13609 grad_norm: 4.2823 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0676 loss: 1.0676 2022/08/02 05:24:49 - mmengine - INFO - Epoch(train) [99][60/940] lr: 6.0000e-04 eta: 0:16:07 time: 0.6097 data_time: 0.0379 memory: 13609 grad_norm: 4.2068 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0582 loss: 1.0582 2022/08/02 05:24:59 - mmengine - INFO - Epoch(train) [99][80/940] lr: 6.0000e-04 eta: 0:15:56 time: 0.5029 data_time: 0.0328 memory: 13609 grad_norm: 4.4356 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1339 loss: 1.1339 2022/08/02 05:25:11 - mmengine - INFO - Epoch(train) [99][100/940] lr: 6.0000e-04 eta: 0:15:45 time: 0.5873 data_time: 0.0501 memory: 13609 grad_norm: 4.3349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0285 loss: 1.0285 2022/08/02 05:25:21 - mmengine - INFO - Epoch(train) [99][120/940] lr: 6.0000e-04 eta: 0:15:35 time: 0.4764 data_time: 0.0308 memory: 13609 grad_norm: 4.2063 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0275 loss: 1.0275 2022/08/02 05:25:32 - mmengine - INFO - Epoch(train) [99][140/940] lr: 6.0000e-04 eta: 0:15:24 time: 0.5569 data_time: 0.0359 memory: 13609 grad_norm: 4.2954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/02 05:25:41 - mmengine - INFO - Epoch(train) [99][160/940] lr: 6.0000e-04 eta: 0:15:14 time: 0.4751 data_time: 0.0338 memory: 13609 grad_norm: 4.4506 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2467 loss: 1.2467 2022/08/02 05:25:54 - mmengine - INFO - Epoch(train) [99][180/940] lr: 6.0000e-04 eta: 0:15:03 time: 0.6387 data_time: 0.0330 memory: 13609 grad_norm: 4.2537 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0860 loss: 1.0860 2022/08/02 05:26:02 - mmengine - INFO - Epoch(train) [99][200/940] lr: 6.0000e-04 eta: 0:14:52 time: 0.4052 data_time: 0.0367 memory: 13609 grad_norm: 4.3064 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1253 loss: 1.1253 2022/08/02 05:26:14 - mmengine - INFO - Epoch(train) [99][220/940] lr: 6.0000e-04 eta: 0:14:42 time: 0.5858 data_time: 0.0386 memory: 13609 grad_norm: 4.3529 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9947 loss: 0.9947 2022/08/02 05:26:24 - mmengine - INFO - Epoch(train) [99][240/940] lr: 6.0000e-04 eta: 0:14:31 time: 0.4962 data_time: 0.0372 memory: 13609 grad_norm: 4.3651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0201 loss: 1.0201 2022/08/02 05:26:35 - mmengine - INFO - Epoch(train) [99][260/940] lr: 6.0000e-04 eta: 0:14:20 time: 0.5478 data_time: 0.0344 memory: 13609 grad_norm: 4.2929 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1145 loss: 1.1145 2022/08/02 05:26:45 - mmengine - INFO - Epoch(train) [99][280/940] lr: 6.0000e-04 eta: 0:14:10 time: 0.5093 data_time: 0.0325 memory: 13609 grad_norm: 4.2354 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/02 05:26:57 - mmengine - INFO - Epoch(train) [99][300/940] lr: 6.0000e-04 eta: 0:13:59 time: 0.6000 data_time: 0.0320 memory: 13609 grad_norm: 4.4062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1331 loss: 1.1331 2022/08/02 05:27:07 - mmengine - INFO - Epoch(train) [99][320/940] lr: 6.0000e-04 eta: 0:13:48 time: 0.4771 data_time: 0.0361 memory: 13609 grad_norm: 4.3478 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/02 05:27:17 - mmengine - INFO - Epoch(train) [99][340/940] lr: 6.0000e-04 eta: 0:13:38 time: 0.5255 data_time: 0.0326 memory: 13609 grad_norm: 4.3572 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0886 loss: 1.0886 2022/08/02 05:27:26 - mmengine - INFO - Epoch(train) [99][360/940] lr: 6.0000e-04 eta: 0:13:27 time: 0.4679 data_time: 0.0344 memory: 13609 grad_norm: 4.3360 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0903 loss: 1.0903 2022/08/02 05:27:38 - mmengine - INFO - Epoch(train) [99][380/940] lr: 6.0000e-04 eta: 0:13:17 time: 0.5705 data_time: 0.0326 memory: 13609 grad_norm: 4.3618 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1247 loss: 1.1247 2022/08/02 05:27:48 - mmengine - INFO - Epoch(train) [99][400/940] lr: 6.0000e-04 eta: 0:13:06 time: 0.5107 data_time: 0.0387 memory: 13609 grad_norm: 4.4275 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1411 loss: 1.1411 2022/08/02 05:28:00 - mmengine - INFO - Epoch(train) [99][420/940] lr: 6.0000e-04 eta: 0:12:55 time: 0.5852 data_time: 0.0343 memory: 13609 grad_norm: 4.3748 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1128 loss: 1.1128 2022/08/02 05:28:10 - mmengine - INFO - Epoch(train) [99][440/940] lr: 6.0000e-04 eta: 0:12:45 time: 0.5038 data_time: 0.0458 memory: 13609 grad_norm: 4.3865 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9171 loss: 0.9171 2022/08/02 05:28:21 - mmengine - INFO - Epoch(train) [99][460/940] lr: 6.0000e-04 eta: 0:12:34 time: 0.5671 data_time: 0.0320 memory: 13609 grad_norm: 4.3543 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1135 loss: 1.1135 2022/08/02 05:28:31 - mmengine - INFO - Epoch(train) [99][480/940] lr: 6.0000e-04 eta: 0:12:23 time: 0.5076 data_time: 0.0390 memory: 13609 grad_norm: 4.3583 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.1659 loss: 1.1659 2022/08/02 05:28:42 - mmengine - INFO - Epoch(train) [99][500/940] lr: 6.0000e-04 eta: 0:12:13 time: 0.5190 data_time: 0.0333 memory: 13609 grad_norm: 4.4058 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1715 loss: 1.1715 2022/08/02 05:28:54 - mmengine - INFO - Epoch(train) [99][520/940] lr: 6.0000e-04 eta: 0:12:02 time: 0.5929 data_time: 0.1656 memory: 13609 grad_norm: 4.2577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/08/02 05:29:03 - mmengine - INFO - Epoch(train) [99][540/940] lr: 6.0000e-04 eta: 0:11:52 time: 0.4444 data_time: 0.1240 memory: 13609 grad_norm: 4.4844 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1890 loss: 1.1890 2022/08/02 05:29:14 - mmengine - INFO - Epoch(train) [99][560/940] lr: 6.0000e-04 eta: 0:11:41 time: 0.5866 data_time: 0.2185 memory: 13609 grad_norm: 4.3060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0915 loss: 1.0915 2022/08/02 05:29:23 - mmengine - INFO - Epoch(train) [99][580/940] lr: 6.0000e-04 eta: 0:11:30 time: 0.4488 data_time: 0.0819 memory: 13609 grad_norm: 4.3082 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0214 loss: 1.0214 2022/08/02 05:29:34 - mmengine - INFO - Epoch(train) [99][600/940] lr: 6.0000e-04 eta: 0:11:20 time: 0.5565 data_time: 0.0851 memory: 13609 grad_norm: 4.3330 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/08/02 05:29:44 - mmengine - INFO - Epoch(train) [99][620/940] lr: 6.0000e-04 eta: 0:11:09 time: 0.4583 data_time: 0.0799 memory: 13609 grad_norm: 4.3238 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0720 loss: 1.0720 2022/08/02 05:29:56 - mmengine - INFO - Epoch(train) [99][640/940] lr: 6.0000e-04 eta: 0:10:58 time: 0.5992 data_time: 0.0807 memory: 13609 grad_norm: 4.3999 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1142 loss: 1.1142 2022/08/02 05:30:06 - mmengine - INFO - Epoch(train) [99][660/940] lr: 6.0000e-04 eta: 0:10:48 time: 0.5388 data_time: 0.0731 memory: 13609 grad_norm: 4.3626 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/08/02 05:30:16 - mmengine - INFO - Epoch(train) [99][680/940] lr: 6.0000e-04 eta: 0:10:37 time: 0.4690 data_time: 0.0792 memory: 13609 grad_norm: 4.4114 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/08/02 05:30:27 - mmengine - INFO - Epoch(train) [99][700/940] lr: 6.0000e-04 eta: 0:10:27 time: 0.5378 data_time: 0.1945 memory: 13609 grad_norm: 4.2994 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1294 loss: 1.1294 2022/08/02 05:30:38 - mmengine - INFO - Epoch(train) [99][720/940] lr: 6.0000e-04 eta: 0:10:16 time: 0.5715 data_time: 0.2516 memory: 13609 grad_norm: 4.3478 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1463 loss: 1.1463 2022/08/02 05:30:48 - mmengine - INFO - Epoch(train) [99][740/940] lr: 6.0000e-04 eta: 0:10:05 time: 0.4768 data_time: 0.1463 memory: 13609 grad_norm: 4.3307 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/08/02 05:30:59 - mmengine - INFO - Epoch(train) [99][760/940] lr: 6.0000e-04 eta: 0:09:55 time: 0.5825 data_time: 0.2446 memory: 13609 grad_norm: 4.3485 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0408 loss: 1.0408 2022/08/02 05:31:09 - mmengine - INFO - Epoch(train) [99][780/940] lr: 6.0000e-04 eta: 0:09:44 time: 0.4897 data_time: 0.0963 memory: 13609 grad_norm: 4.3113 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1470 loss: 1.1470 2022/08/02 05:31:20 - mmengine - INFO - Epoch(train) [99][800/940] lr: 6.0000e-04 eta: 0:09:33 time: 0.5364 data_time: 0.0964 memory: 13609 grad_norm: 4.4542 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1732 loss: 1.1732 2022/08/02 05:31:30 - mmengine - INFO - Epoch(train) [99][820/940] lr: 6.0000e-04 eta: 0:09:23 time: 0.5145 data_time: 0.1523 memory: 13609 grad_norm: 4.3696 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0385 loss: 1.0385 2022/08/02 05:31:41 - mmengine - INFO - Epoch(train) [99][840/940] lr: 6.0000e-04 eta: 0:09:12 time: 0.5655 data_time: 0.2499 memory: 13609 grad_norm: 4.2426 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0606 loss: 1.0606 2022/08/02 05:31:50 - mmengine - INFO - Epoch(train) [99][860/940] lr: 6.0000e-04 eta: 0:09:01 time: 0.4355 data_time: 0.1074 memory: 13609 grad_norm: 4.2816 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0796 loss: 1.0796 2022/08/02 05:32:00 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:32:00 - mmengine - INFO - Epoch(train) [99][880/940] lr: 6.0000e-04 eta: 0:08:51 time: 0.5175 data_time: 0.1953 memory: 13609 grad_norm: 4.3342 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0245 loss: 1.0245 2022/08/02 05:32:11 - mmengine - INFO - Epoch(train) [99][900/940] lr: 6.0000e-04 eta: 0:08:40 time: 0.5353 data_time: 0.0550 memory: 13609 grad_norm: 4.4456 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0762 loss: 1.0762 2022/08/02 05:32:22 - mmengine - INFO - Epoch(train) [99][920/940] lr: 6.0000e-04 eta: 0:08:30 time: 0.5677 data_time: 0.0610 memory: 13609 grad_norm: 4.3766 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/02 05:32:31 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:32:31 - mmengine - INFO - Epoch(train) [99][940/940] lr: 6.0000e-04 eta: 0:08:19 time: 0.4176 data_time: 0.0300 memory: 13609 grad_norm: 4.6295 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0666 loss: 1.0666 2022/08/02 05:32:31 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/02 05:34:19 - mmengine - INFO - Epoch(val) [99][20/78] eta: 0:05:07 time: 5.3077 data_time: 4.5584 memory: 19674 2022/08/02 05:35:32 - mmengine - INFO - Epoch(val) [99][40/78] eta: 0:02:17 time: 3.6223 data_time: 2.8665 memory: 19674 2022/08/02 05:37:08 - mmengine - INFO - Epoch(val) [99][60/78] eta: 0:01:26 time: 4.8100 data_time: 4.0480 memory: 19674 2022/08/02 05:38:17 - mmengine - INFO - Epoch(val) [99][78/78] acc/top1: 0.7144 acc/top5: 0.8966 acc/mean1: 0.7144 2022/08/02 05:38:33 - mmengine - INFO - Epoch(train) [100][20/940] lr: 6.0000e-04 eta: 0:08:08 time: 0.7867 data_time: 0.2324 memory: 19674 grad_norm: 4.3802 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1417 loss: 1.1417 2022/08/02 05:38:42 - mmengine - INFO - Epoch(train) [100][40/940] lr: 6.0000e-04 eta: 0:07:58 time: 0.4621 data_time: 0.0346 memory: 13609 grad_norm: 4.4122 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0038 loss: 1.0038 2022/08/02 05:38:54 - mmengine - INFO - Epoch(train) [100][60/940] lr: 6.0000e-04 eta: 0:07:47 time: 0.5996 data_time: 0.0360 memory: 13609 grad_norm: 4.4517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1946 loss: 1.1946 2022/08/02 05:39:03 - mmengine - INFO - Epoch(train) [100][80/940] lr: 6.0000e-04 eta: 0:07:36 time: 0.4356 data_time: 0.0364 memory: 13609 grad_norm: 4.3461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0951 loss: 1.0951 2022/08/02 05:39:15 - mmengine - INFO - Epoch(train) [100][100/940] lr: 6.0000e-04 eta: 0:07:26 time: 0.5778 data_time: 0.0454 memory: 13609 grad_norm: 4.2448 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1357 loss: 1.1357 2022/08/02 05:39:25 - mmengine - INFO - Epoch(train) [100][120/940] lr: 6.0000e-04 eta: 0:07:15 time: 0.4983 data_time: 0.0378 memory: 13609 grad_norm: 4.4480 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9575 loss: 0.9575 2022/08/02 05:39:36 - mmengine - INFO - Epoch(train) [100][140/940] lr: 6.0000e-04 eta: 0:07:05 time: 0.5758 data_time: 0.0357 memory: 13609 grad_norm: 4.4555 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1304 loss: 1.1304 2022/08/02 05:39:46 - mmengine - INFO - Epoch(train) [100][160/940] lr: 6.0000e-04 eta: 0:06:54 time: 0.4870 data_time: 0.0374 memory: 13609 grad_norm: 4.3119 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0929 loss: 1.0929 2022/08/02 05:39:57 - mmengine - INFO - Epoch(train) [100][180/940] lr: 6.0000e-04 eta: 0:06:43 time: 0.5503 data_time: 0.0365 memory: 13609 grad_norm: 4.4433 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0219 loss: 1.0219 2022/08/02 05:40:07 - mmengine - INFO - Epoch(train) [100][200/940] lr: 6.0000e-04 eta: 0:06:33 time: 0.4920 data_time: 0.0304 memory: 13609 grad_norm: 4.3104 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/08/02 05:40:17 - mmengine - INFO - Epoch(train) [100][220/940] lr: 6.0000e-04 eta: 0:06:22 time: 0.5360 data_time: 0.0353 memory: 13609 grad_norm: 4.2488 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1079 loss: 1.1079 2022/08/02 05:40:28 - mmengine - INFO - Epoch(train) [100][240/940] lr: 6.0000e-04 eta: 0:06:11 time: 0.5515 data_time: 0.0485 memory: 13609 grad_norm: 4.3058 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0791 loss: 1.0791 2022/08/02 05:40:39 - mmengine - INFO - Epoch(train) [100][260/940] lr: 6.0000e-04 eta: 0:06:01 time: 0.5461 data_time: 0.0408 memory: 13609 grad_norm: 4.3362 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1410 loss: 1.1410 2022/08/02 05:40:49 - mmengine - INFO - Epoch(train) [100][280/940] lr: 6.0000e-04 eta: 0:05:50 time: 0.4961 data_time: 0.0261 memory: 13609 grad_norm: 4.3807 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/08/02 05:41:00 - mmengine - INFO - Epoch(train) [100][300/940] lr: 6.0000e-04 eta: 0:05:40 time: 0.5462 data_time: 0.0352 memory: 13609 grad_norm: 4.3214 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0849 loss: 1.0849 2022/08/02 05:41:10 - mmengine - INFO - Epoch(train) [100][320/940] lr: 6.0000e-04 eta: 0:05:29 time: 0.4779 data_time: 0.0324 memory: 13609 grad_norm: 4.2932 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1249 loss: 1.1249 2022/08/02 05:41:22 - mmengine - INFO - Epoch(train) [100][340/940] lr: 6.0000e-04 eta: 0:05:18 time: 0.5873 data_time: 0.0522 memory: 13609 grad_norm: 4.3133 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/08/02 05:41:31 - mmengine - INFO - Epoch(train) [100][360/940] lr: 6.0000e-04 eta: 0:05:08 time: 0.4817 data_time: 0.0337 memory: 13609 grad_norm: 4.3794 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1574 loss: 1.1574 2022/08/02 05:41:44 - mmengine - INFO - Epoch(train) [100][380/940] lr: 6.0000e-04 eta: 0:04:57 time: 0.6186 data_time: 0.0501 memory: 13609 grad_norm: 4.3370 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9854 loss: 0.9854 2022/08/02 05:41:54 - mmengine - INFO - Epoch(train) [100][400/940] lr: 6.0000e-04 eta: 0:04:46 time: 0.5139 data_time: 0.0402 memory: 13609 grad_norm: 4.4021 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/08/02 05:42:05 - mmengine - INFO - Epoch(train) [100][420/940] lr: 6.0000e-04 eta: 0:04:36 time: 0.5343 data_time: 0.0350 memory: 13609 grad_norm: 4.3768 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9491 loss: 0.9491 2022/08/02 05:42:15 - mmengine - INFO - Epoch(train) [100][440/940] lr: 6.0000e-04 eta: 0:04:25 time: 0.5067 data_time: 0.0440 memory: 13609 grad_norm: 4.3029 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1284 loss: 1.1284 2022/08/02 05:42:25 - mmengine - INFO - Epoch(train) [100][460/940] lr: 6.0000e-04 eta: 0:04:15 time: 0.5217 data_time: 0.0420 memory: 13609 grad_norm: 4.3320 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0738 loss: 1.0738 2022/08/02 05:42:36 - mmengine - INFO - Epoch(train) [100][480/940] lr: 6.0000e-04 eta: 0:04:04 time: 0.5645 data_time: 0.0305 memory: 13609 grad_norm: 4.3566 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1786 loss: 1.1786 2022/08/02 05:42:46 - mmengine - INFO - Epoch(train) [100][500/940] lr: 6.0000e-04 eta: 0:03:53 time: 0.4763 data_time: 0.0396 memory: 13609 grad_norm: 4.3456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/08/02 05:42:57 - mmengine - INFO - Epoch(train) [100][520/940] lr: 6.0000e-04 eta: 0:03:43 time: 0.5492 data_time: 0.0460 memory: 13609 grad_norm: 4.4369 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1090 loss: 1.1090 2022/08/02 05:43:07 - mmengine - INFO - Epoch(train) [100][540/940] lr: 6.0000e-04 eta: 0:03:32 time: 0.4834 data_time: 0.0364 memory: 13609 grad_norm: 4.3218 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0195 loss: 1.0195 2022/08/02 05:43:17 - mmengine - INFO - Epoch(train) [100][560/940] lr: 6.0000e-04 eta: 0:03:21 time: 0.5292 data_time: 0.0337 memory: 13609 grad_norm: 4.4624 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1372 loss: 1.1372 2022/08/02 05:43:28 - mmengine - INFO - Epoch(train) [100][580/940] lr: 6.0000e-04 eta: 0:03:11 time: 0.5257 data_time: 0.0416 memory: 13609 grad_norm: 4.3252 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0505 loss: 1.0505 2022/08/02 05:43:38 - mmengine - INFO - Epoch(train) [100][600/940] lr: 6.0000e-04 eta: 0:03:00 time: 0.5130 data_time: 0.0361 memory: 13609 grad_norm: 4.2618 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9783 loss: 0.9783 2022/08/02 05:43:48 - mmengine - INFO - Epoch(train) [100][620/940] lr: 6.0000e-04 eta: 0:02:50 time: 0.5015 data_time: 0.0364 memory: 13609 grad_norm: 4.2738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0125 loss: 1.0125 2022/08/02 05:43:59 - mmengine - INFO - Epoch(train) [100][640/940] lr: 6.0000e-04 eta: 0:02:39 time: 0.5580 data_time: 0.0387 memory: 13609 grad_norm: 4.2565 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0706 loss: 1.0706 2022/08/02 05:44:09 - mmengine - INFO - Epoch(train) [100][660/940] lr: 6.0000e-04 eta: 0:02:28 time: 0.4912 data_time: 0.0390 memory: 13609 grad_norm: 4.3524 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/08/02 05:44:21 - mmengine - INFO - Epoch(train) [100][680/940] lr: 6.0000e-04 eta: 0:02:18 time: 0.6018 data_time: 0.0326 memory: 13609 grad_norm: 4.4386 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0622 loss: 1.0622 2022/08/02 05:44:32 - mmengine - INFO - Epoch(train) [100][700/940] lr: 6.0000e-04 eta: 0:02:07 time: 0.5264 data_time: 0.0411 memory: 13609 grad_norm: 4.4068 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1874 loss: 1.1874 2022/08/02 05:44:42 - mmengine - INFO - Epoch(train) [100][720/940] lr: 6.0000e-04 eta: 0:01:56 time: 0.5339 data_time: 0.0363 memory: 13609 grad_norm: 4.3104 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0431 loss: 1.0431 2022/08/02 05:44:52 - mmengine - INFO - Epoch(train) [100][740/940] lr: 6.0000e-04 eta: 0:01:46 time: 0.5054 data_time: 0.0402 memory: 13609 grad_norm: 4.5359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0633 loss: 1.0633 2022/08/02 05:45:04 - mmengine - INFO - Epoch(train) [100][760/940] lr: 6.0000e-04 eta: 0:01:35 time: 0.5651 data_time: 0.0288 memory: 13609 grad_norm: 4.3604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0575 loss: 1.0575 2022/08/02 05:45:13 - mmengine - INFO - Epoch(train) [100][780/940] lr: 6.0000e-04 eta: 0:01:25 time: 0.4826 data_time: 0.0393 memory: 13609 grad_norm: 4.4083 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2621 loss: 1.2621 2022/08/02 05:45:24 - mmengine - INFO - Epoch(train) [100][800/940] lr: 6.0000e-04 eta: 0:01:14 time: 0.5220 data_time: 0.0332 memory: 13609 grad_norm: 4.3208 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1598 loss: 1.1598 2022/08/02 05:45:33 - mmengine - INFO - Epoch(train) [100][820/940] lr: 6.0000e-04 eta: 0:01:03 time: 0.4756 data_time: 0.0360 memory: 13609 grad_norm: 4.2917 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1346 loss: 1.1346 2022/08/02 05:45:44 - mmengine - INFO - Epoch(train) [100][840/940] lr: 6.0000e-04 eta: 0:00:53 time: 0.5524 data_time: 0.0354 memory: 13609 grad_norm: 4.4606 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0640 loss: 1.0640 2022/08/02 05:45:55 - mmengine - INFO - Epoch(train) [100][860/940] lr: 6.0000e-04 eta: 0:00:42 time: 0.5091 data_time: 0.0361 memory: 13609 grad_norm: 4.3026 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/08/02 05:46:06 - mmengine - INFO - Epoch(train) [100][880/940] lr: 6.0000e-04 eta: 0:00:31 time: 0.5732 data_time: 0.0401 memory: 13609 grad_norm: 4.4642 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0834 loss: 1.0834 2022/08/02 05:46:16 - mmengine - INFO - Epoch(train) [100][900/940] lr: 6.0000e-04 eta: 0:00:21 time: 0.4852 data_time: 0.0489 memory: 13609 grad_norm: 4.3785 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1309 loss: 1.1309 2022/08/02 05:46:27 - mmengine - INFO - Epoch(train) [100][920/940] lr: 6.0000e-04 eta: 0:00:10 time: 0.5623 data_time: 0.0386 memory: 13609 grad_norm: 4.3483 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1068 loss: 1.1068 2022/08/02 05:46:36 - mmengine - INFO - Exp name: tsn_r50_dense_1x1x5_100e_kinetics400_rgb_20220801_061551 2022/08/02 05:46:36 - mmengine - INFO - Epoch(train) [100][940/940] lr: 6.0000e-04 eta: 0:00:00 time: 0.4325 data_time: 0.0252 memory: 13609 grad_norm: 4.6937 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1492 loss: 1.1492 2022/08/02 05:46:36 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/02 05:48:24 - mmengine - INFO - Epoch(val) [100][20/78] eta: 0:05:07 time: 5.3045 data_time: 4.5435 memory: 19674 2022/08/02 05:49:37 - mmengine - INFO - Epoch(val) [100][40/78] eta: 0:02:18 time: 3.6423 data_time: 2.8966 memory: 19674 2022/08/02 05:51:13 - mmengine - INFO - Epoch(val) [100][60/78] eta: 0:01:26 time: 4.8066 data_time: 4.0534 memory: 19674 2022/08/02 05:52:22 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.7143 acc/top5: 0.8964 acc/mean1: 0.7143